The effect of risk perception on public preferences and willingness to pay for reductions in the health risks posed by toxic cyanobacterial blooms.

PubMed

Hunter, Peter D; Hanley, Nick; Czajkowski, Mikołaj; Mearns, Kathryn; Tyler, Andrew N; Carvalho, Laurence; Codd, Geoffrey A

2012-06-01

Mass populations of toxin-producing cyanobacteria are an increasingly common occurrence in inland and coastal waters used for recreational purposes. These mass populations pose serious risks to human and animal health and impose potentially significant economic costs on society. In this study, we used contingent valuation (CV) methods to elicit public willingness to pay (WTP) for reductions in the morbidity risks posed by blooms of toxin-producing cyanobacteria in Loch Leven, Scotland. We found that 55% of respondents (68% excluding protest voters) were willing to pay for a reduction in the number of days per year (from 90, to either 45 or 0 days) that cyanobacteria pose a risk to human health at Loch Leven. The mean WTP for a risk reduction was UK£9.99-12.23/household/year estimated using a logistic spike model. In addition, using the spike model and a simultaneous equations model to control for endogeneity bias, we found the respondents' WTP was strongly dependent on socio-demographic characteristics, economic status and usage of the waterbody, but also individual-specific attitudes and perceptions towards health risks. This study demonstrates that anticipated health risk reductions are an important nonmarket benefit of improving water quality in recreational waters and should be accounted for in future cost-benefit analyses such as those being undertaken under the auspices of the European Union's Water Framework Directive, but also that such values depend on subjective perceptions of water-related health risks and general attitudes towards the environment. Copyright © 2012 Elsevier B.V. All rights reserved.

Effect of Using Different Vehicle Weight Groups on the Estimated Relationship Between Mass Reduction and U.S. Societal Fatality Risk per Vehicle Miles of Travel

DOE Office of Scientific and Technical Information (OSTI.GOV)

Wenzel, Tom P.

This report recalculates the estimated relationship between vehicle mass and societal fatality risk, using alternative groupings by vehicle weight, to test whether the trend of decreasing fatality risk from mass reduction as case vehicle mass increases, holds over smaller increments of the range in case vehicle masses. The NHTSA baseline regression model estimates the relationship using for two weight groups for cars and light trucks; we re-estimated the mass reduction coefficients using four, six, and eight bins of vehicle mass. The estimated effect of mass reduction on societal fatality risk was not consistent over the range in vehicle masses inmore » these weight bins. These results suggest that the relationship indicated by the NHTSA baseline model is a result of other, unmeasured attributes of the mix of vehicles in the lighter vs. heavier weight bins, and not necessarily the result of a correlation between mass reduction and societal fatality risk. An analysis of the average vehicle, driver, and crash characteristics across the various weight groupings did not reveal any strong trends that might explain the lack of a consistent trend of decreasing fatality risk from mass reduction in heavier vehicles.« less

Regulatory Approval of Cancer Risk-reducing (Chemopreventive) Drugs: Moving What We Have Learned into the Clinic

PubMed Central

Meyskens, Frank L.; Curt, Gregory A.; Brenner, Dean E.; Gordon, Gary; Herberman, Ronald B.; Finn, Olivera; Kelloff, Gary J.; Khleif, Samir N.; Sigman, Caroline C.; Szabo, Eva

2010-01-01

This paper endeavors to clarify the current requirements and status of regulatory approval for chemoprevention (risk reduction) drugs and discusses possible improvements to the regulatory pathway for chemoprevention. Covering a wide range of topics in as much depth as space allows, this report is written in a style to facilitate the understanding of non-scientists and to serve as a framework for informing the directions of experts engaged more deeply with this issue. Key topics we cover here are as follows: a history of definitive cancer chemoprevention trials and their influence on the evolution of regulatory assessments; a brief review of the long-standing success of pharmacologic risk reduction of cardiovascular diseases and its relevance to approval for cancer risk reduction drugs; the use and limitations of biomarkers for developing and the approval of cancer risk reduction drugs; the identification of individuals at a high(er) risk for cancer and who are appropriate candidates for risk reduction drugs; business models that should incentivize pharmaceutical-industry investment in cancer risk reduction; a summary of scientific and institutional barriers to development of cancer risk reduction drugs; and a summary of major recommendations that should help facilitate the pathway to regulatory approval for pharmacologic cancer risk reduction drugs. PMID:21372031

HIV RISK REDUCTION INTERVENTIONS AMONG SUBSTANCE-ABUSING REPRODUCTIVE-AGE WOMEN: A SYSTEMATIC REVIEW

PubMed Central

Weissman, Jessica; Kanamori, Mariano; Dévieux, Jessy G.; Trepka, Mary Jo; De La Rosa, Mario

2017-01-01

HIV/AIDS is one of the leading causes of death among reproductive-age women throughout the world, and substance abuse plays a major role in HIV infection. We conducted a systematic review, in accordance with the 2015 Preferred Items for Reporting Systematic Reviews and Meta-analysis tool, to assess HIV risk-reduction intervention studies among reproductive-age women who abuse substances. We initially identified 6,506 articles during our search and, after screening titles and abstracts, examining articles in greater detail, and finally excluding those rated methodologically weak, a total of 10 studies were included in this review. Studies that incorporated behavioral skills training into the intervention and were based on theoretical model(s) were the most effective in general at decreasing sex and drug risk behaviors. Additional HIV risk-reduction intervention research with improved methodological designs is warranted to determine the most efficacious HIV risk-reduction intervention for reproductive-age women who abuse substances. PMID:28467160

A COMPARATIVE RISK REDUCTION ANALYSIS OF THE OFFICE OF SOLID WASTE'S WASTE MINIMIZATION PRIORITY CHEMICALS INITIATIVE USING THE 3MRA MULTIMEDIA MODELING SYSTEM

EPA Science Inventory

A study was initiated by the EPA/ORD National Exposure Research Lab (NERL) in FY05 to quantify risk reduction resulting from this national EPA initiative to reduce WMPC disposal. Using the 3MRA modeling system, which was recommended for use by the EPA Science Advisory Board for ...

Integrated risk reduction framework to improve railway hazardous materials transportation safety.

PubMed

Liu, Xiang; Saat, M Rapik; Barkan, Christopher P L

2013-09-15

Rail transportation plays a critical role to safely and efficiently transport hazardous materials. A number of strategies have been implemented or are being developed to reduce the risk of hazardous materials release from train accidents. Each of these risk reduction strategies has its safety benefit and corresponding implementation cost. However, the cost effectiveness of the integration of different risk reduction strategies is not well understood. Meanwhile, there has been growing interest in the U.S. rail industry and government to best allocate resources for improving hazardous materials transportation safety. This paper presents an optimization model that considers the combination of two types of risk reduction strategies, broken rail prevention and tank car safety design enhancement. A Pareto-optimality technique is used to maximize risk reduction at a given level of investment. The framework presented in this paper can be adapted to address a broader set of risk reduction strategies and is intended to assist decision makers for local, regional and system-wide risk management of rail hazardous materials transportation. Copyright © 2013 Elsevier B.V. All rights reserved.

Risk factors of chronic periodontitis on healing response: a multilevel modelling analysis.

PubMed

Song, J; Zhao, H; Pan, C; Li, C; Liu, J; Pan, Y

2017-09-15

Chronic periodontitis is a multifactorial polygenetic disease with an increasing number of associated factors that have been identified over recent decades. Longitudinal epidemiologic studies have demonstrated that the risk factors were related to the progression of the disease. A traditional multivariate regression model was used to find risk factors associated with chronic periodontitis. However, the approach requirement of standard statistical procedures demands individual independence. Multilevel modelling (MLM) data analysis has widely been used in recent years, regarding thorough hierarchical structuring of the data, decomposing the error terms into different levels, and providing a new analytic method and framework for solving this problem. The purpose of our study is to investigate the relationship of clinical periodontal index and the risk factors in chronic periodontitis through MLM analysis and to identify high-risk individuals in the clinical setting. Fifty-four patients with moderate to severe periodontitis were included. They were treated by means of non-surgical periodontal therapy, and then made follow-up visits regularly at 3, 6, and 12 months after therapy. Each patient answered a questionnaire survey and underwent measurement of clinical periodontal parameters. Compared with baseline, probing depth (PD) and clinical attachment loss (CAL) improved significantly after non-surgical periodontal therapy with regular follow-up visits at 3, 6, and 12 months after therapy. The null model and variance component models with no independent variables included were initially obtained to investigate the variance of the PD and CAL reductions across all three levels, and they showed a statistically significant difference (P < 0.001), thus establishing that MLM data analysis was necessary. Site-level had effects on PD and CAL reduction; those variables could explain 77-78% of PD reduction and 70-80% of CAL reduction at 3, 6, and 12 months. Other levels only explain 20-30% of PD and CAL reductions. Site-level had the greatest effect on PD and CAL reduction. Non-surgical periodontal therapy with regular follow-up visits had a remarkable curative effect. All three levels had a substantial influence on the reduction of PD and CAL. Site-level had the largest effect on PD and CAL reductions.

Geographic exposure risk of variant Creutzfeldt-Jakob disease in US blood donors: a risk-ranking model to evaluate alternative donor-deferral policies.

PubMed

Yang, Hong; Huang, Yin; Gregori, Luisa; Asher, David M; Bui, Travis; Forshee, Richard A; Anderson, Steven A

2017-04-01

Variant Creutzfeldt-Jakob disease (vCJD) has been transmitted by blood transfusion (TTvCJD). The US Food and Drug Administration (FDA) recommends deferring blood donors who resided in or traveled to 30 European countries where they may have been exposed to bovine spongiform encephalopathy (BSE) through beef consumption. Those recommendations warrant re-evaluation, because new cases of BSE and vCJD have markedly abated. The FDA developed a risk-ranking model to calculate the geographic vCJD risk using country-specific case rates and person-years of exposure of US blood donors. We used the reported country vCJD case rates, when available, or imputed vCJD case rates from reported BSE and UK beef exports during the risk period. We estimated the risk reduction and donor loss should the deferral be restricted to a few high-risk countries. We also estimated additional risk reduction by leukocyte reduction (LR) of red blood cells (RBCs). The United Kingdom, Ireland, and France had the greatest vCJD risk, contributing approximately 95% of the total risk. The model estimated that deferring US donors who spent extended periods of time in these three countries, combined with currently voluntary LR (95% of RBC units), would reduce the vCJD risk by 89.3%, a reduction similar to that achieved under the current policy (89.8%). Limiting deferrals to exposure in these three countries would potentially allow donations from an additional 100,000 donors who are currently deferred. Our analysis suggests that a deferral option focusing on the three highest risk countries would achieve a level of blood safety similar to that achieved by the current policy. © 2016 AABB.

The estimated effect of mass or footprint reduction in recent light-duty vehicles on U.S. societal fatality risk per vehicle mile traveled.

PubMed

Wenzel, Tom

2013-10-01

The National Highway Traffic Safety Administration (NHTSA) recently updated its 2003 and 2010 logistic regression analyses of the effect of a reduction in light-duty vehicle mass on US societal fatality risk per vehicle mile traveled (VMT; Kahane, 2012). Societal fatality risk includes the risk to both the occupants of the case vehicle as well as any crash partner or pedestrians. The current analysis is the most thorough investigation of this issue to date. This paper replicates the Kahane analysis and extends it by testing the sensitivity of his results to changes in the definition of risk, and the data and control variables used in the regression models. An assessment by Lawrence Berkeley National Laboratory (LBNL) indicates that the estimated effect of mass reduction on risk is smaller than in Kahane's previous studies, and is statistically non-significant for all but the lightest cars (Wenzel, 2012a). The estimated effects of a reduction in mass or footprint (i.e. wheelbase times track width) are small relative to other vehicle, driver, and crash variables used in the regression models. The recent historical correlation between mass and footprint is not so large to prohibit including both variables in the same regression model; excluding footprint from the model, i.e. allowing footprint to decrease with mass, increases the estimated detrimental effect of mass reduction on risk in cars and crossover utility vehicles (CUVs)/minivans, but has virtually no effect on light trucks. Analysis by footprint deciles indicates that risk does not consistently increase with reduced mass for vehicles of similar footprint. Finally, the estimated effects of mass and footprint reduction are sensitive to the measure of exposure used (fatalities per induced exposure crash, rather than per VMT), as well as other changes in the data or control variables used. It appears that the safety penalty from lower mass can be mitigated with careful vehicle design, and that manufacturers can reduce mass as a strategy to increase their vehicles' fuel economy and reduce greenhouse gas emissions without necessarily compromising societal safety. Published by Elsevier Ltd.

SOCIAL PSYCHOLOGICAL DYNAMICS OF ENHANCED HIV RISK REDUCTION AMONG PEER INTERVENTIONISTS

PubMed Central

Dickson-Gomez, Julia; Weeks, Margaret R.; Convey, Mark; Li, Jianghong

2014-01-01

The authors present a model of interactive social psychological and relational feedback processes leading to human immunodeficiency virus (HIV) risk reduction behavior change among active drug users trained as Peer Health Advocates (PHAs). The model is supported by data from qualitative interviews with PHAs and members of their drug-using networks in the Risk Avoidance Partnership (RAP) project. Results suggest three mutually reinforcing social psychological processes that motivate PHAs to provide HIV prevention intervention to their peers and to reduce their own risk behaviors: development of a prosocial identity, positive social reinforcement from drug users and community members, and cognitive dissonance associated with continued risk behavior while engaging in health advocacy. These processes directly influence peer interventionists’ motivation and efficacy to continue giving intervention to their peers, and to reduce their HIV risk behaviors. The authors discuss implications of the model for continued research on effective HIV prevention in high-risk groups. PMID:25414528

Using probabilistic terrorism risk modeling for regulatory benefit-cost analysis: application to the Western hemisphere travel initiative in the land environment.

PubMed

Willis, Henry H; LaTourrette, Tom

2008-04-01

This article presents a framework for using probabilistic terrorism risk modeling in regulatory analysis. We demonstrate the framework with an example application involving a regulation under consideration, the Western Hemisphere Travel Initiative for the Land Environment, (WHTI-L). First, we estimate annualized loss from terrorist attacks with the Risk Management Solutions (RMS) Probabilistic Terrorism Model. We then estimate the critical risk reduction, which is the risk-reducing effectiveness of WHTI-L needed for its benefit, in terms of reduced terrorism loss in the United States, to exceed its cost. Our analysis indicates that the critical risk reduction depends strongly not only on uncertainties in the terrorism risk level, but also on uncertainty in the cost of regulation and how casualties are monetized. For a terrorism risk level based on the RMS standard risk estimate, the baseline regulatory cost estimate for WHTI-L, and a range of casualty cost estimates based on the willingness-to-pay approach, our estimate for the expected annualized loss from terrorism ranges from $2.7 billion to $5.2 billion. For this range in annualized loss, the critical risk reduction for WHTI-L ranges from 7% to 13%. Basing results on a lower risk level that results in halving the annualized terrorism loss would double the critical risk reduction (14-26%), and basing the results on a higher risk level that results in a doubling of the annualized terrorism loss would cut the critical risk reduction in half (3.5-6.6%). Ideally, decisions about terrorism security regulations and policies would be informed by true benefit-cost analyses in which the estimated benefits are compared to costs. Such analyses for terrorism security efforts face substantial impediments stemming from the great uncertainty in the terrorist threat and the very low recurrence interval for large attacks. Several approaches can be used to estimate how a terrorism security program or regulation reduces the distribution of risks it is intended to manage. But, continued research to develop additional tools and data is necessary to support application of these approaches. These include refinement of models and simulations, engagement of subject matter experts, implementation of program evaluation, and estimating the costs of casualties from terrorism events.

Defining HIV risk and determining responsibility in postsocialist Poland.

PubMed

Owczarzak, Jill

2009-12-01

Drawing on 15 months of ethnographic research on HIV prevention programs in Poland, I explore the consequences of the shift from models of HIV prevention that emphasize "risk groups" and AIDS blame, to models that focus on "risky behaviors" and universal risk. The centrality of choice making and individual risk management in these models suggests objective risk assessment free from moralizing arguments. The Polish national prevention strategy shifted to focus on choice making, address all risk groups, and include concrete prevention strategies. This shift created a backlash that resulted in the reassertion of moral arguments about risk and risk groups that positioned those most vulnerable to HIV outside the purview of prevention efforts. AIDS organizations working with marginalized, "morally problematic" populations used the label "at risk" to legitimize claims to resources. They enacted a model of risk reduction in which the relevant actor is the individual buffeted by social forces; behavior change, and therefore HIV risk reduction, is a long process because of myriad forms of vulnerability clients face. Despite efforts to reconceptualize risk, organizations positioned the individual as the locus of HIV prevention interventions, rather than attempting to address the social context that shapes risk.

Estimating the Return on Investment From a Health Risk Management Program Offered to Small Colorado-Based Employers

PubMed Central

Goetzel, Ron Z.; Tabrizi, Maryam; Henke, Rachel Mosher; Benevent, Richele; Brockbank, Claire v. S.; Stinson, Kaylan; Trotter, Margo; Newman, Lee S.

2015-01-01

Objective To determine whether changes in health risks for workers in small businesses can produce medical and productivity cost savings. Methods A 1-year pre- and posttest study tracked changes in 10 modifiable health risks for 2458 workers at 121 Colorado businesses that participated in a comprehensive worksite health promotion program. Risk reductions were entered into a return-on-investment (ROI) simulation model. Results Reductions were recorded in 10 risk factors examined, including obesity (−2.0%), poor eating habits (−5.8%), poor physical activity (−6.5%), tobacco use (−1.3%), high alcohol consumption (−1.7%), high stress (−3.5%), depression (−2.3%), high blood pressure (−0.3%), high total cholesterol (−0.9%), and high blood glucose (−0.2%). The ROI model estimated medical and productivity savings of $2.03 for every $1.00 invested. Conclusions Pooled data suggest that small businesses can realize a positive ROI from effective risk reduction programs. PMID:24806569

Effects of radon mitigation vs smoking cessation in reducing radon-related risk of lung cancer.

PubMed Central

Mendez, D; Warner, K E; Courant, P N

1998-01-01

OBJECTIVES: The purpose of this paper is to provide smokers with information on the relative benefits of mitigating radon and quitting smoking in reducing radon-related lung cancer risk. METHODS: The standard radon risk model, linked with models characterizing residential radon exposure and patterns of moving to new homes, was used to estimate the risk reduction produced by remediating high-radon homes, quitting smoking, or both. RESULTS: Quitting smoking reduces lung cancer risk from radon more than does reduction of radon exposure itself. CONCLUSIONS: Smokers should understand that, in addition to producing other health benefits, quitting smoking dominates strategies to deal with the problem posed by radon. PMID:9585753

Defining HIV Risk and Determining Responsibility in Postsocialist Poland

PubMed Central

Owczarzak, Jill

2014-01-01

Drawing on 15 months of ethnographic research on HIV prevention programs in Poland, I explore the consequences of the shift from models of HIV prevention that emphasize “risk groups” and AIDS blame, to models that focus on “risky behaviors” and universal risk. The centrality of choice making and individual risk management in these models suggests objective risk assessment free from moralizing arguments. The Polish national prevention strategy shifted to focus on choice making, address all risk groups, and include concrete prevention strategies. This shift created a backlash that resulted in the reassertion of moral arguments about risk and risk groups that positioned those most vulnerable to HIV outside the purview of prevention efforts. AIDS organizations working with marginalized, “morally problematic” populations used the label “at risk” to legitimize claims to resources. They enacted a model of risk reduction in which the relevant actor is the individual buffeted by social forces, and behavior change, and therefore HIV risk reduction, is a long process because of myriad forms of vulnerability clients face. Despite efforts to reconceptualize risk, organizations positioned the individual as the locus of HIV prevention interventions, rather than attempting to address the social context that shapes risk. PMID:20092052

Population Modeling of Modified Risk Tobacco Products Accounting for Smoking Reduction and Gradual Transitions of Relative Risk.

PubMed

Poland, Bill; Teischinger, Florian

2017-11-01

As suggested by the Food and Drug Administration (FDA) Modified Risk Tobacco Product (MRTP) Applications Draft Guidance, we developed a statistical model based on public data to explore the effect on population mortality of an MRTP resulting in reduced conventional cigarette smoking. Many cigarette smokers who try an MRTP persist as dual users while smoking fewer conventional cigarettes per day (CPD). Lower-CPD smokers have lower mortality risk based on large cohort studies. However, with little data on the effect of smoking reduction on mortality, predictive modeling is needed. We generalize prior assumptions of gradual, exponential decay of Excess Risk (ER) of death, relative to never-smokers, after quitting or reducing CPD. The same age-dependent slopes are applied to all transitions, including initiation to conventional cigarettes and to a second product (MRTP). A Monte Carlo simulation model generates random individual product use histories, including CPD, to project cumulative deaths through 2060 in a population with versus without the MRTP. Transitions are modeled to and from dual use, which affects CPD and cigarette quit rates, and to MRTP use only. Results in a hypothetical scenario showed high sensitivity of long-run mortality to CPD reduction levels and moderate sensitivity to ER transition rates. Models to project population effects of an MRTP should account for possible mortality effects of reduced smoking among dual users. In addition, studies should follow dual-user CPD histories and quit rates over long time periods to clarify long-term usage patterns and thereby improve health impact projections. We simulated mortality effects of a hypothetical MRTP accounting for cigarette smoking reduction by smokers who add MRTP use. Data on relative mortality risk versus CPD suggest that this reduction may have a substantial effect on mortality rates, unaccounted for in other models. This effect is weighed with additional hypothetical effects in an example. © The Author 2017. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Using analogues to quantify geological uncertainty in stochastic reserve modelling

DOE Office of Scientific and Technical Information (OSTI.GOV)

Wells, B.; Brown, I.

1995-08-01

The petroleum industry seeks to minimize exploration risk by employing the best possible expertise, methods and tools. Is it possible to quantify the success of this process of risk reduction? Due to inherent uncertainty in predicting geological reality and due to changing environments for hydrocarbon exploration, it is not enough simply to record the proportion of successful wells drilled; in various parts of the world it has been noted that pseudo-random drilling would apparently have been as successful as the actual drilling programme. How, then, should we judge the success of risk reduction? For many years the E&P industry hasmore » routinely used Monte Carlo modelling to generate a probability distribution for prospect reserves. One aspect of Monte Carlo modelling which has received insufficient attention, but which is essential for quantifying risk reduction, is the consistency and repeatability with which predictions can be made. Reducing the subjective element inherent in the specification of geological uncertainty allows better quantification of uncertainty in the prediction of reserves, in both exploration and appraisal. Building on work reported at the AAPG annual conventions in 1994 and 1995, the present paper incorporates analogue information with uncertainty modelling. Analogues provide a major step forward in the quantification of risk, but their significance is potentially greater still. The two principal contributors to uncertainty in field and prospect analysis are the hydrocarbon life-cycle and the geometry of the trap. These are usually treated separately. Combining them into a single model is a major contribution to the reduction risk. This work is based in part on a joint project with Oryx Energy UK Ltd., and thanks are due in particular to Richard Benmore and Mike Cooper.« less

The evolution of global disaster risk assessments: from hazard to global change

NASA Astrophysics Data System (ADS)

Peduzzi, Pascal

2013-04-01

The perception of disaster risk as a dynamic process interlinked with global change is a fairly recent concept. It gradually emerged as an evolution from new scientific theories, currents of thinking and lessons learned from large disasters since the 1970s. The interest was further heighten, in the mid-1980s, by the Chernobyl nuclear accident and the discovery of the ozone layer hole, both bringing awareness that dangerous hazards can generate global impacts. The creation of the UN International Decade for Natural Disaster Reduction (IDNDR) and the publication of the first IPCC report in 1990 reinforced the interest for global risk assessment. First global risk models including hazard, exposure and vulnerability components were available since mid-2000s. Since then increased computation power and more refined datasets resolution, led to more numerous and sophisticated global risk models. This article presents a recent history of global disaster risk models, the current status of researches for the Global Assessment Report on Disaster Risk Reduction (GAR 2013) and future challenges and limitations for the development of next generation global disaster risk models.

Alcohol Use and Sexual Risk Behaviors in a Migrant Worker Community.

PubMed

McCoy, H Virginia; Shehadeh, Nancy; Rubens, Muni

2016-06-01

There are not many studies exploring the association between alcohol use and risky sexual behaviors among migrant workers. This study analyzed how changes in alcohol use was associated with changes in risky sexual behavior and psychosocial variables. Data for this study was drawn from an HIV risk reduction project. Repeated measures ANOVA and Linear mixed model statistical method was conducted to find changes and association between alcohol use, sexual risk and psychosocial variables over time. The sample (n = 203) was composed of African Americans (33.0 %) and Hispanics (77.0 %) men. Both groups, over time, showed reduction in sexual risk in accordance with reduction in alcohol use. Changes in alcohol use and psychosocial variables showed significant association with sexual risk changes over time. Psychological strategies like building social support should be considered for HIV risk reduction intervention directed towards high alcohol consuming migrant workers.

Strengthening insurance partnerships in the face of climate change - Insights from an agent-based model of flood insurance in the UK.

PubMed

Crick, Florence; Jenkins, Katie; Surminski, Swenja

2018-04-25

Multisectoral partnerships are increasingly cited as a mechanism to deliver and improve disaster risk management. Yet, partnerships are not a panacea and more research is required to understand the role that they can play in disaster risk management and particularly disaster risk reduction. This paper investigates how partnerships can incentivise flood risk reduction by focusing on the UK public-private partnership on flood insurance. Developing the right flood insurance arrangements to incentivise flood risk reduction and adaptation to climate change is a key challenge. In the face of rising flood risks due to climate change and socio-economic development insurance partnerships can no longer afford to focus only on the risk transfer function. However, while expectations of the insurance industry have traditionally been high when it comes to flood risk management, the insurance industry alone will not provide the solution to the challenge of rising risks. The case of flood insurance in the UK illustrates this: even national government and industry together cannot fully address these risks and other actors need to be involved to create strong incentives for risk reduction. Using an agent-based model focused on surface water flood risk in London we analyse how other partners could strengthen the insurance partnership by reducing flood risk and thus helping to maintain affordable insurance premiums. Our findings are relevant for wider discussions on the potential of insurance schemes to incentivise flood risk management and climate adaptation in the UK and also internationally. Copyright © 2018. Published by Elsevier B.V.

Risk-Based Prioritization of Research for Aviation Security Using Logic-Evolved Decision Analysis

NASA Technical Reports Server (NTRS)

Eisenhawer, S. W.; Bott, T. F.; Sorokach, M. R.; Jones, F. P.; Foggia, J. R.

2004-01-01

The National Aeronautics and Space Administration is developing advanced technologies to reduce terrorist risk for the air transportation system. Decision support tools are needed to help allocate assets to the most promising research. An approach to rank ordering technologies (using logic-evolved decision analysis), with risk reduction as the metric, is presented. The development of a spanning set of scenarios using a logic-gate tree is described. Baseline risk for these scenarios is evaluated with an approximate reasoning model. Illustrative risk and risk reduction results are presented.

Multi crop model climate risk country-level management design: case study on the Tanzanian maize production system

NASA Astrophysics Data System (ADS)

Chavez, E.

2015-12-01

Future climate projections indicate that a very serious consequence of post-industrial anthropogenic global warming is the likelihood of the greater frequency and intensity of extreme hydrometeorological events such as heat waves, droughts, storms, and floods. The design of national and international policies targeted at building more resilient and environmentally sustainable food systems needs to rely on access to robust and reliable data which is largely absent. In this context, the improvement of the modelling of current and future agricultural production losses using the unifying language of risk is paramount. In this study, we use a methodology that allows the integration of the current understanding of the various interacting systems of climate, agro-environment, crops, and the economy to determine short to long-term risk estimates of crop production loss, in different environmental, climate, and adaptation scenarios. This methodology is applied to Tanzania to assess optimum risk reduction and maize production increase paths in different climate scenarios. The simulations carried out use inputs from three different crop models (DSSAT, APSIM, WRSI) run in different technological scenarios and thus allowing to estimate crop model-driven risk exposure estimation bias. The results obtained also allow distinguishing different region-specific optimum climate risk reduction policies subject to historical as well as RCP2.5 and RCP8.5 climate scenarios. The region-specific risk profiles obtained provide a simple framework to determine cost-effective risk management policies for Tanzania and allow to optimally combine investments in risk reduction and risk transfer.

Characterization of drinking water treatment for virus risk assessment.

PubMed

Teunis, P F M; Rutjes, S A; Westrell, T; de Roda Husman, A M

2009-02-01

Removal or inactivation of viruses in drinking water treatment processes can be quantified by measuring the concentrations of viruses or virus indicators in water before and after treatment. Virus reduction is then calculated from the ratio of these concentrations. Most often only the average reduction is reported. That is not sufficient when treatment efficiency must be characterized in quantitative risk assessment. We present three simple models allowing statistical analysis of series of counts before and after treatment: distribution of the ratio of concentrations, and distribution of the probability of passage for unpaired and paired water samples. Performance of these models is demonstrated for several processes (long and short term storage, coagulation/filtration, coagulation/sedimentation, slow sand filtration, membrane filtration, and ozone disinfection) using microbial indicator data from full-scale treatment processes. All three models allow estimation of the variation in (log) reduction as well as its uncertainty; the results can be easily used in risk assessment. Although they have different characteristics and are present in vastly different concentrations, different viruses and/or bacteriophages appear to show similar reductions in a particular treatment process, allowing generalization of the reduction for each process type across virus groups. The processes characterized in this paper may be used as reference for waterborne virus risk assessment, to check against location specific data, and in case no such data are available, to use as defaults.

Evaluating the Risks: A Bernoulli Process Model of HIV Infection and Risk Reduction.

ERIC Educational Resources Information Center

Pinkerton, Steven D.; Abramson, Paul R.

1993-01-01

A Bernoulli process model of human immunodeficiency virus (HIV) is used to evaluate infection risks associated with various sexual behaviors (condom use, abstinence, or monogamy). Results suggest that infection is best mitigated through measures that decrease infectivity, such as condom use. (SLD)

Assessment of NHTSA’s Report “Relationships Between Fatality Risk, Mass, and Footprint in Model Year 2003-2010 Passenger Cars and LTVs”

DOE Office of Scientific and Technical Information (OSTI.GOV)

Wenzel, Tom

NHTSA recently completed a logistic regression analysis updating its 2003, 2010, and 2012 studies of the relationship between vehicle mass and US fatality risk per vehicle mile traveled (VMT; Kahane 2010, Kahane 2012, Puckett 2016). The new study updates the 2012 analysis using FARS data from 2005 to 2011 for model year 2003 to 2010. Using the updated databases, NHTSA estimates that reducing vehicle mass by 100 pounds while holding footprint fixed would increase fatality risk per VMT by 1.49% for lighter-than-average cars and by 0.50% for heavierthan- average cars, but reduce risk by 0.10% for lighter-than-average light-duty trucks, bymore » 0.71% for heavier-than-average light-duty trucks, and by 0.99% for CUVs/minivans. Using a jack knife method to estimate the statistical uncertainty of these point estimates, NHTSA finds that none of these estimates are statistically significant at the 95% confidence level; however, the 1.49% increase in risk associated with mass reduction in lighter-than-average cars, and the 0.71% and 0.99% decreases in risk associated with mass reduction in heavier-than-average light trucks and CUVs/minivans, are statistically significant at the 90% confidence interval. The effect of mass reduction on risk that NHTSA estimated in 2016 is more beneficial than in its 2012 study, particularly for light trucks and CUVs/minivans. The 2016 NHTSA analysis estimates that reducing vehicle footprint by one square foot while holding mass constant would increase fatality risk per VMT by 0.28% in cars, by 0.38% in light trucks, and by 1.18% in CUVs and minivans.This report replicates the 2016 NHTSA analysis, and reproduces their main results. This report uses the confidence intervals output by the logistic regression models, which are smaller than the intervals NHTSA estimated using a jack-knife technique that accounts for the sampling error in the FARS fatality and state crash data. In addition to reproducing the NHTSA results, this report also examines the NHTSA data in slightly different ways to get a deeper understanding of the relationship between vehicle weight, footprint, and safety. The results of the NHTSA baseline results, and these alternative analyses, are summarized in Table ES.1; statistically significant estimates, based on the confidence intervals output by the logistic regression models, are shown in red in the tables. We found that NHTSA’s reasonable assumption that all vehicles will have ESC installed by 2017 in its baseline regression model slightly increases the estimated increase in risk from mass reduction in cars, but substantially decreases the estimated increase in risk from footprint reduction in all three vehicle types (Alternative 1 in Table ES.1; explained in more detail in Section 2.1 of this report). This is because NHTSA projects ESC to substantially reduce the number of fatalities in rollovers and crashes with stationary objects, and mass reduction appears to reduce risk, while footprint reduction appears to increase risk, in these types of crashes, particularly in cars and CUVs/minivans. A single regression model including all crash types results in slightly different estimates of the relationship between decreasing mass and risk, as shown in Alternative 2 in Table ES.1.« less

Application of Probabilistic Modeling to Quantify the Reduction Levels of Hepatocellular Carcinoma Risk Attributable to Chronic Aflatoxins Exposure.

PubMed

Wambui, Joseph M; Karuri, Edward G; Ojiambo, Julia A; Njage, Patrick M K

2017-01-01

Epidemiological studies show a definite connection between areas of high aflatoxin content and a high occurrence of human hepatocellular carcinoma (HCC). Hepatitis B virus in individuals further increases the risk of HCC. The two risk factors are prevalent in rural Kenya and continuously predispose the rural populations to HCC. A quantitative cancer risk assessment therefore quantified the levels at which potential pre- and postharvest interventions reduce the HCC risk attributable to consumption of contaminated maize and groundnuts. The assessment applied a probabilistic model to derive probability distributions of HCC cases and percentage reductions levels of the risk from secondary data. Contaminated maize and groundnuts contributed to 1,847 ± 514 and 158 ± 52 HCC cases per annum, respectively. The total contribution of both foods to the risk was additive as it resulted in 2,000 ± 518 cases per annum. Consumption and contamination levels contributed significantly to the risk whereby lower age groups were most affected. Nonetheless, pre- and postharvest interventions might reduce the risk by 23.0-83.4% and 4.8-95.1%, respectively. Therefore, chronic exposure to aflatoxins increases the HCC risk in rural Kenya, but a significant reduction of the risk can be achieved by applying specific pre- and postharvest interventions.

Assessment of NHTSA’s Report “Relationships Between Fatality Risk, Mass, and Footprint in Model Year 2004-2011 Passenger Cars and LTVs” (LBNL Phase 1)

DOE Office of Scientific and Technical Information (OSTI.GOV)

Wenzel, Tom P.

In its 2012 report NHTSA simulated the effect four fleetwide mass reduction scenarios would have on the change in annual fatalities. NHTSA estimated that the most aggressive of these scenarios (reducing mass 5.2% in heavier light trucks and 2.6% in all other vehicles types except lighter cars) would result in a small reduction in societal fatalities. LBNL replicated the methodology NHTSA used to simulate six mass reduction scenarios, including the mass reductions recommended in the 2015 NRC committee report, and estimated in 2021 and 2025 by EPA in the TAR, using the updated data through 2012. The analysis indicates thatmore » the estimated x change in fatalities under each scenario based on the updated analysis is comparable to that in the 2012 analysis, but less beneficial or more detrimental than that in the 2016 analysis. For example, an across the board 100-lb reduction in mass would result in an estimated 157 additional annual fatalities based on the 2012 analysis, but would result in only an estimated 91 additional annual fatalities based on the 2016 analysis, and an additional 87 fatalities based on the current analysis. The mass reductions recommended by the 2015 NRC committee report6 would result in a 224 increase in annual fatalities in the 2012 analysis, a 344 decrease in annual fatalities in the 2016 analysis, and a 141 increase in fatalities in the current analysis. The mass reductions EPA estimated for 2025 in the TAR7 would result in a 203 decrease in fatalities based on the 2016 analysis, but an increase of 39 fatalities based on the current analysis. These results support NHTSA’s conclusion from its 2012 study that, when footprint is held fixed, “no judicious combination of mass reductions in the various classes of vehicles results in a statistically significant fatality increase and many potential combinations are safety-neutral as point estimates.”Like the previous NHTSA studies, this updated report concludes that the estimated effect of mass reduction while maintaining footprint on societal U.S. fatality risk is small, and not statistically significant at the 95% or 90% confidence level for all vehicle types based on the jack-knife method NHTSA used. This report also finds that the estimated effects of other control variables, such as vehicle type, specific safety technologies, and crash conditions such as whether the crash occurred at night, in a rural county, or on a high-speed road, on risk are much larger, in some cases two orders of magnitude larger, than the estimated effect of mass or footprint reduction on risk. Finally, this report shows that after accounting for the many vehicle, driver, and crash variables NHTSA used in its regression analyses, there remains a wide variation in risk by vehicle make and model, and this variation is unrelated to vehicle mass. Although the purpose of the NHTSA and LBNL reports is to estimate the effect of vehicle mass reduction on societal risk, this is not exactly what the regression models are estimating. Rather, they are estimating the recent historical relationship between mass and risk, after accounting for most measurable differences between vehicles, drivers, and crash times and locations. In essence, the regression models are comparing the risk of a 2600-lb Dodge Neon with that of a 2500-lb Honda Civic, after attempting to account for all other differences between the two vehicles. The models are not estimating the effect of literally removing 100 pounds from the Neon, leaving everything else unchanged. In addition, the analyses are based on the relationship of vehicle mass and footprint on risk for recent vehicle designs (model year 2004 to 2011). These relationships may or may not continue into the future as manufacturers utilize new vehicle designs and incorporate new technologies, such as more extensive use of strong lightweight materials and specific safety technologies. Therefore, throughout this report we use the phrase “the estimated effect of mass (or footprint) reduction on risk” as shorthand for “the estimated change in risk as a function of its relationship to mass (or footprint) for vehicle models of recent design.”« less

A Collaborative Approach to Community Wildfire Hazard Reduction

Treesearch

Marc Titus; Jennifer Hinderman

2006-01-01

This paper highlights the very successful collaborative approach to community wildfire hazard reduction being used in the 5 county NW Region of the Washington State Department of Natural Resources. NW Region cooperators have created a successful model to help affected communities reduce their risks to wildland fire. Identified high risk communities have been approached...

Waiting for Disasters: A Risk Reduction Assessment of Technological Disasters

NASA Astrophysics Data System (ADS)

Rovins, Jane; Winningham, Sam

2010-05-01

This session provides a risk reduction/mitigation assessment of natural hazards causation of technological disasters and possible solution. People use technology in an attempt to not only control their environment but nature itself in order to make them feel safe and productive. Most strategies for managing hazards followed a traditional planning model i.e. study the problem, identify and implement a solution, and move on to the next problem. This approach is often viewed as static model and risk reduction is more of an upward, positive, linear trend. However, technological disasters do not allow risk reduction action to neatly fit this upward, positive, linear trend with actual or potential threats to the environment and society. There are different types of technological disasters, including industrial accidents; pipeline ruptures; accidents at power, water and heat supply systems and other lines of communication; sudden collapse of buildings and mines; air crashes; shipwrecks; automobile and railway accidents to name a few. Natural factors can play an essential role in triggering or magnifying technological disasters. They can result from the direct destruction of given technical objects by a hazardous natural process such as the destruction of an atomic power plant or chemical plant due to an earthquake. Other examples would include the destruction of communications or infrastructure systems by heavy snowfalls, strong winds, avalanches. Events in the past ten years clearly demonstrate that natural disasters and the technological disasters that accompany them are not problems that can be solved in isolation and risk reduction can play an important part. Risk reduction was designed to head off the continuing rising financial and structural tolls from disasters. All Hazard Risk Reduction planning was supposed to include not only natural, but technological, and human-made disasters as well. The subsequent disaster risk reduction (DRR) indicators were to provide the corner stone to sustained risk reduction. We are able to look at the ongoing work by UNISDR and other partners to develop DRR indicators to track progress toward the goals outlined in the Hyogo Framework for Action adopted by 168 countries in Kobe, Japan in January 2005. In addition, we can look at various global examples. Therefore the true question we shall address is whether or not the DRR indicators form a virtuous circle was created with risk reduction with a series of positive events triggering a self-perpetuating pattern of other positive occurrences or a vicious circle.

Relationship among food-safety knowledge, beliefs, and risk-reduction behavior in university students in Japan.

PubMed

Takeda, Sayaka; Akamatsu, Rie; Horiguchi, Itsuko; Marui, Eiji

2011-01-01

To identify whether university students who have both food-safety knowledge and beliefs perform risk-reduction behaviors. Cross-sectional research using a questionnaire that included food-safety knowledge, perceptions, risk-reduction behavior, stages for the selection of safer food based on the Transtheoretical Model, and demographic characteristics. Four universities in eastern Japan and 2 universities in western Japan. University students (n = 799). Food-safety knowledge, beliefs, and risk-reduction behaviors. Answers on measures assessing risk perception and food-safety knowledge were combined to form 4 groups of participants. Relationships among demographic characteristics, the 4 groups, risk-reduction behaviors, stage of change, and severity and susceptibility were assessed. The proportion of students who had more knowledge of food safety and a belief that "there are no 100% safe food items" was high in the group that frequently performed risk-reduction behaviors, as it was in the group who had taken a basic class about food or health care and who had, or were working toward, a food or nutrition qualification. University students who thought that there were no 100% safe food items and who had more knowledge about food safety were more likely to confirm food-safety information when selecting food. Copyright © 2011 Society for Nutrition Education and Behavior. Published by Elsevier Inc. All rights reserved.

A Path Analysis of a Randomized "Promotora de Salud" Cardiovascular Disease-Prevention Trial among At-Risk Hispanic Adults

ERIC Educational Resources Information Center

de Heer, Hendrik Dirk; Balcazar, Hector G.; Castro, Felipe; Schulz, Leslie

2012-01-01

This study assessed effectiveness of an educational community intervention taught by "promotoras de salud" in reducing cardiovascular disease (CVD) risk among Hispanics using a structural equation modeling (SEM) approach. Model development was guided by a social ecological framework proposing CVD risk reduction through improvement of…

The societal benefits of reducing six behavioural risk factors: an economic modelling study from Australia

PubMed Central

2011-01-01

Background A large proportion of disease burden is attributed to behavioural risk factors. However, funding for public health programs in Australia remains limited. Government and non-government organisations are interested in the productivity effects on society from reducing chronic diseases. We aimed to estimate the potential health status and economic benefits to society following a feasible reduction in the prevalence of six behavioural risk factors: tobacco smoking; inadequate fruit and vegetable consumption; high risk alcohol consumption; high body mass index; physical inactivity; and intimate partner violence. Methods Simulation models were developed for the 2008 Australian population. A realistic reduction in current risk factor prevalence using best available evidence with expert consensus was determined. Avoidable disease, deaths, Disability Adjusted Life Years (DALYs) and health sector costs were estimated. Productivity gains included workforce (friction cost method), household production and leisure time. Multivariable uncertainty analyses and correction for the joint effects of risk factors on health status were undertaken. Consistent methods and data sources were used. Results Over the lifetime of the 2008 Australian adult population, total opportunity cost savings of AUD2,334 million (95% Uncertainty Interval AUD1,395 to AUD3,347; 64% in the health sector) were found if feasible reductions in the risk factors were achieved. There would be 95,000 fewer DALYs (a reduction of about 3.6% in total DALYs for Australia); 161,000 less new cases of disease; 6,000 fewer deaths; a reduction of 5 million days in workforce absenteeism; and 529,000 increased days of leisure time. Conclusions Reductions in common behavioural risk factors may provide substantial benefits to society. For example, the total potential annual cost savings in the health sector represent approximately 2% of total annual health expenditure in Australia. Our findings contribute important new knowledge about productivity effects, including the potential for increased household and leisure activities, associated with chronic disease prevention. The selection of targets for risk factor prevalence reduction is an important policy decision and a useful approach for future analyses. Similar approaches could be applied in other countries if the data are available. PMID:21689461

Pathogen Treatment Guidance and Monitoring Approaches fro ...

EPA Pesticide Factsheets

On-site non-potable water reuse is increasingly used to augment water supplies, but traditional fecal indicator approaches for defining and monitoring exposure risks are limited when applied to these decentralized options. This session emphasizes risk-based modeling to define pathogen log-reduction requirements coupled with alternative targets for monitoring enabled by genomic sequencing (i.e., the microbiome of reuse systems). 1. Discuss risk-based modeling to define pathogen log-reduction requirements 2. Review alternative targets for monitoring 3. Gain an understanding of how new tools can help improve successful development of sustainable on-site non-potable water reuse Presented at the Water Wastewater Equipment Treatment & Transport Show.

The application of motivational theory to cardiovascular risk reduction.

PubMed

Fleury, J

1992-01-01

The level of motivation sustained by an individual has been identified as a primary predictor of success in sustained cardiovascular risk factor modification efforts. This article reviews the primary motivational theories that have been used to explain and predict cardiovascular risk reduction. Specifically, the application of the Health Belief Model, Health Promotion Model, Theory of Reasoned Action, Theory of Planned Behavior and Self-efficacy Theory to the initiation and maintenance of cardiovascular health behavior is addressed. The implication of these theories for the development of nursing interventions as well as new directions for nursing research and practice in the study of individual motivation in health behavior change are discussed.

Effect of electronic stability control on automobile crash risk.

PubMed

Farmer, Charles

2004-12-01

Per vehicle crash involvement rates were compared for otherwise identical vehicle models with and without electronic stability control (ESC) systems. ESC was found to affect single-vehicle crashes to a greater extent than multiple-vehicle crashes, and crashes with fatal injuries to a greater extent than less severe crashes. Based on all police-reported crashes in 7 states over 2 years, ESC reduced single-vehicle crash involvement risk by approximately 41 percent (95 percent confidence limits 3348) and single-vehicle injury crash involvement risk by 41 percent (2752). This translates to an estimated 7 percent reduction in overall crash involvement risk (310) and a 9 percent reduction in overall injury crash involvement risk (314). Based on all fatal crashes in the United States over 3 years, ESC was found to have reduced single-vehicle fatal crash involvement risk by 56 percent (3968). This translates to an estimated 34 percent reduction in overall fatal crash involvement risk (2145).

Financial risk protection from social health insurance.

PubMed

Barnes, Kayleigh; Mukherji, Arnab; Mullen, Patrick; Sood, Neeraj

2017-09-01

This paper estimates the impact of social health insurance on financial risk by utilizing data from a natural experiment created by the phased roll-out of a social health insurance program for the poor in India. We estimate the distributional impact of insurance on of out-of-pocket costs and incorporate these results with a stylized expected utility model to compute associated welfare effects. We adjust the standard model, accounting for conditions of developing countries by incorporating consumption floors, informal borrowing, and asset selling which allow us to separate the value of financial risk reduction from consumption smoothing and asset protection. Results show that insurance reduces out-of-pocket costs, particularly in higher quantiles of the distribution. We find reductions in the frequency and amount of money borrowed for health reasons. Finally, we find that the value of financial risk reduction outweighs total per household costs of the insurance program by two to five times. Copyright © 2017. Published by Elsevier B.V.

The Global Tsunami Model (GTM)

NASA Astrophysics Data System (ADS)

Thio, H. K.; Løvholt, F.; Harbitz, C. B.; Polet, J.; Lorito, S.; Basili, R.; Volpe, M.; Romano, F.; Selva, J.; Piatanesi, A.; Davies, G.; Griffin, J.; Baptista, M. A.; Omira, R.; Babeyko, A. Y.; Power, W. L.; Salgado Gálvez, M.; Behrens, J.; Yalciner, A. C.; Kanoglu, U.; Pekcan, O.; Ross, S.; Parsons, T.; LeVeque, R. J.; Gonzalez, F. I.; Paris, R.; Shäfer, A.; Canals, M.; Fraser, S. A.; Wei, Y.; Weiss, R.; Zaniboni, F.; Papadopoulos, G. A.; Didenkulova, I.; Necmioglu, O.; Suppasri, A.; Lynett, P. J.; Mokhtari, M.; Sørensen, M.; von Hillebrandt-Andrade, C.; Aguirre Ayerbe, I.; Aniel-Quiroga, Í.; Guillas, S.; Macias, J.

2016-12-01

The large tsunami disasters of the last two decades have highlighted the need for a thorough understanding of the risk posed by relatively infrequent but disastrous tsunamis and the importance of a comprehensive and consistent methodology for quantifying the hazard. In the last few years, several methods for probabilistic tsunami hazard analysis have been developed and applied to different parts of the world. In an effort to coordinate and streamline these activities and make progress towards implementing the Sendai Framework of Disaster Risk Reduction (SFDRR) we have initiated a Global Tsunami Model (GTM) working group with the aim of i) enhancing our understanding of tsunami hazard and risk on a global scale and developing standards and guidelines for it, ii) providing a portfolio of validated tools for probabilistic tsunami hazard and risk assessment at a range of scales, and iii) developing a global tsunami hazard reference model. This GTM initiative has grown out of the tsunami component of the Global Assessment of Risk (GAR15), which has resulted in an initial global model of probabilistic tsunami hazard and risk. Started as an informal gathering of scientists interested in advancing tsunami hazard analysis, the GTM is currently in the process of being formalized through letters of interest from participating institutions. The initiative has now been endorsed by the United Nations International Strategy for Disaster Reduction (UNISDR) and the World Bank's Global Facility for Disaster Reduction and Recovery (GFDRR). We will provide an update on the state of the project and the overall technical framework, and discuss the technical issues that are currently being addressed, including earthquake source recurrence models, the use of aleatory variability and epistemic uncertainty, and preliminary results for a probabilistic global hazard assessment, which is an update of the model included in UNISDR GAR15.

The Global Tsunami Model (GTM)

NASA Astrophysics Data System (ADS)

Lorito, S.; Basili, R.; Harbitz, C. B.; Løvholt, F.; Polet, J.; Thio, H. K.

2017-12-01

The tsunamis occurred worldwide in the last two decades have highlighted the need for a thorough understanding of the risk posed by relatively infrequent but often disastrous tsunamis and the importance of a comprehensive and consistent methodology for quantifying the hazard. In the last few years, several methods for probabilistic tsunami hazard analysis have been developed and applied to different parts of the world. In an effort to coordinate and streamline these activities and make progress towards implementing the Sendai Framework of Disaster Risk Reduction (SFDRR) we have initiated a Global Tsunami Model (GTM) working group with the aim of i) enhancing our understanding of tsunami hazard and risk on a global scale and developing standards and guidelines for it, ii) providing a portfolio of validated tools for probabilistic tsunami hazard and risk assessment at a range of scales, and iii) developing a global tsunami hazard reference model. This GTM initiative has grown out of the tsunami component of the Global Assessment of Risk (GAR15), which has resulted in an initial global model of probabilistic tsunami hazard and risk. Started as an informal gathering of scientists interested in advancing tsunami hazard analysis, the GTM is currently in the process of being formalized through letters of interest from participating institutions. The initiative has now been endorsed by the United Nations International Strategy for Disaster Reduction (UNISDR) and the World Bank's Global Facility for Disaster Reduction and Recovery (GFDRR). We will provide an update on the state of the project and the overall technical framework, and discuss the technical issues that are currently being addressed, including earthquake source recurrence models, the use of aleatory variability and epistemic uncertainty, and preliminary results for a probabilistic global hazard assessment, which is an update of the model included in UNISDR GAR15.

The Global Tsunami Model (GTM)

NASA Astrophysics Data System (ADS)

Løvholt, Finn

2017-04-01

The large tsunami disasters of the last two decades have highlighted the need for a thorough understanding of the risk posed by relatively infrequent but disastrous tsunamis and the importance of a comprehensive and consistent methodology for quantifying the hazard. In the last few years, several methods for probabilistic tsunami hazard analysis have been developed and applied to different parts of the world. In an effort to coordinate and streamline these activities and make progress towards implementing the Sendai Framework of Disaster Risk Reduction (SFDRR) we have initiated a Global Tsunami Model (GTM) working group with the aim of i) enhancing our understanding of tsunami hazard and risk on a global scale and developing standards and guidelines for it, ii) providing a portfolio of validated tools for probabilistic tsunami hazard and risk assessment at a range of scales, and iii) developing a global tsunami hazard reference model. This GTM initiative has grown out of the tsunami component of the Global Assessment of Risk (GAR15), which has resulted in an initial global model of probabilistic tsunami hazard and risk. Started as an informal gathering of scientists interested in advancing tsunami hazard analysis, the GTM is currently in the process of being formalized through letters of interest from participating institutions. The initiative has now been endorsed by the United Nations International Strategy for Disaster Reduction (UNISDR) and the World Bank's Global Facility for Disaster Reduction and Recovery (GFDRR). We will provide an update on the state of the project and the overall technical framework, and discuss the technical issues that are currently being addressed, including earthquake source recurrence models, the use of aleatory variability and epistemic uncertainty, and preliminary results for a probabilistic global hazard assessment, which is an update of the model included in UNISDR GAR15.

Self-Esteem and Theoretical Mediators of Safer Sex among African American Female Adolescents: Implications for Sexual Risk Reduction Interventions

ERIC Educational Resources Information Center

Salazar, Laura F.; Crosby, Richard A.; DiClemente, Ralph J.; Wingood, Gina M.; Lescano, Celia M.; Brown, Larry K.; Harrington, Kathy; Davies, Susan

2005-01-01

Theories of health behavior posit that change is accomplished by modifying factors deemed as mediators. A set of mediators from several theoretical models used in sexual risk reduction programs was assessed among a sample of 522 African American female adolescents. The goal was to determine whether self-esteem was associated with sexually…

Forest landowner decisions and the value of information under fire risk.

Treesearch

Gregory S. Amacher; Arun S. Malik; Robert G. Haight

2005-01-01

We estimate the value of three types of information about fire risk to a nonindustrial forest landowner: the relationship between fire arrival rates and stand age, the magnitude of fire arrival rates, and the efficacy of fuel reduction treatment. Our model incorporates planting density and the level and timing of fuel reduction treatment as landowner decisions. These...

Colorectal cancer mortality reduction is associated with having at least 1 colonoscopy within the previous 10 years among a population-wide cohort of screening age.

PubMed

Stock, David; Paszat, Lawrence F; Rabeneck, Linda

2016-07-01

Colonoscopy has been demonstrated to be effective in colorectal cancer (CRC) mortality reduction, although current screening guidelines have yet to be evaluated. We assessed the protective benefit of colonoscopy within the previous 10 years and whether this effect is maintained with age. We used administrative data to compare risk of CRC death (CCD) across colonoscopy utilization among a population-wide cohort comprising individuals aged 60 to 80 years (N = 1,509,423). Baseline and time-dependent colonoscopy exposure models were assessed in the context of competing "other causes of death" (OCDs). Cumulative incidence of CCD and OCD across colonoscopy exposure, over follow-up, was estimated. Relative hazards were computed by age strata (60-69 years, 70-74 years, 75+ years) and proximal and distal cancer subsites. At least 1 colonoscopy during 10 years before baseline was estimated to provide a 51% reduced hazard of CCD (hazard ratio [HR] 0.49; 95% confidence interval [CI], 0.45-0.54) over the following 8 years. When colonoscopy was modeled as a time-dependent covariate, the risk of CCD was further diminished (multivariable-adjusted HR 0.36; 95% CI, 0.33-0.38). Stratified analyses suggested moderately attenuated CCD risk reduction among the oldest age group; however, consideration of OCDs suggest that this is related to competing risks. CCD risk reduction related to colonoscopy was lower for proximal cancers. Colonoscopy within the previous 10 years provides substantial protective benefit for average-risk individuals over 60 years. CCD risk reduction may be maintained well beyond 74 years, a common upper age limit recommended by screening guidelines. Copyright © 2016 American Society for Gastrointestinal Endoscopy. Published by Elsevier Inc. All rights reserved.

Historic Landslide Data Combined with Sentinel Satellite Data to Improve Modelling for Disaster Risk Reduction

NASA Astrophysics Data System (ADS)

Bye, B. L.; Kontoes, C.; Catarino, N.; De Lathouwer, B.; Concalves, P.; Meyer-Arnek, J.; Mueller, A.; Kraft, C.; Grosso, N.; Goor, E.; Voidrot, M. F.; Trypitsidis, A.

2017-12-01

Landslides are geohazards potentially resulting in disasters. Landslides both vary enormously in their distribution in space and time. The surface deformation varies considerably from one type of instability to another. Individual ground instabilities may have a common trigger (extreme rainfall, earthquake), and therefore occur alongside many equivalent occurrences over a large area. This means that they can have a significant regional impact demanding national and international disaster risk reduction strategies. Regional impacts require collaboration across boarders as reflected in The Sendai Framework for Disaster Risk Reduction (2015-2030). The data demands related to the SDGs are unprecedented, another factor that will require coordinated efforts at the global, regional and national levels. Data of good quality are vital for governments, international organizations, civil society, the private sector and the general public in order to make informed decisions, included for disaster risk reduction. The NextGEOSS project evolves the European vision of a user driven GEOSS data exploitation for innovation and business, relying on 3 main pillars; engaging communities of practice, delivering technological advancements, and advocating the use of GEOSS. These 3 pillars support the creation and deployment of Earth observation based innovative research activities and commercial services. In this presentation we will explain how one of the 10 NextGEOSS pilots, Disaster Risk Reduction (DRR), plan to provide an enhanced multi-hazard risk assessment framework based on statistical analysis of long time series of data. Landslide events monitoring and landslides susceptibility estimation will be emphazised. Workflows will be based on models developed in the context of the Copernicus Emergency Management Service. Data envisaged to be used are: Radar SAR data; Yearly ground deformation/velocities; Historic landslide inventory; data related to topographic, geological, hydrological, geomorphological settings and ground observations from field trips. The development of NextGEOSS pilots opens up for interactions with international communities. Contributions from communities engaged in SDG activities and the implementation of the Sendai Framework for Disaster Risk Reduction are welcome

First Evaluation of a Contingency Management Intervention Addressing Adolescent Substance Use and Sexual Risk Behaviors: Risk Reduction Therapy for Adolescents.

PubMed

Letourneau, Elizabeth J; McCart, Michael R; Sheidow, Ashli J; Mauro, Pia M

2017-01-01

There is a need for interventions that comprehensively address youth substance use disorders (SUD) and sexual risk behaviors. Risk Reduction Therapy for Adolescents (RRTA) adapts a validated family-focused intervention for youth SUD to include sexual risk reduction components in a single intervention. In this first evaluation of RRTA, drug court involved youth were randomly assigned to RRTA (N=45) or usual services (US; N=60) and followed through 12-months post-baseline. RRTA included weekly cognitive behavior therapy and behavior management training and contingency-contracting with a point earning system managed by caregivers targeting drug use and sexual risk antecedents. Longitudinal models estimated within-group change and between-group differences through 6- and 12-month follow-up on outcomes for substance use, sexual risk behaviors, and protective HIV behaviors. Robust effects of the intervention were not detected under conditions of the study that included potent background interventions by the juvenile drug court. Considerations about future development and testing of sexual risk reduction therapy for youth are discussed, including the potential role of contingency management in future interventions. Copyright © 2016 Elsevier Inc. All rights reserved.

First Evaluation of a Contingency Management Intervention Addressing Adolescent Substance Use and Sexual Risk Behaviors: Risk Reduction Therapy for Adolescents

PubMed Central

Letourneau, Elizabeth J.; McCart, Michael R.; Sheidow, Ashli J.; Mauro, Pia M.

2016-01-01

There is a need for interventions that comprehensively address youth substance use disorders (SUD) and sexual risk behaviors. Risk Reduction Therapy for Adolescents (RRTA) adapts a validated family-focused intervention for youth SUD to include sexual risk reduction components in a single intervention. In this first evaluation of RRTA, drug court involved youth were randomly assigned to RRTA (N = 45) or usual services (US; N = 60) and followed through 12-months post-baseline. RRTA included weekly cognitive behavior therapy and behavior management training and contingency-contracting with a point earning system managed by caregivers targeting drug use and sexual risk antecedents. Longitudinal models estimated within-group change and between-group differences through 6- and 12-month follow-up on outcomes for substance use, sexual risk behaviors, and protective HIV behaviors. Robust effects of the intervention were not detected under conditions of the study that included potent background interventions by the juvenile drug court. Considerations about future development and testing of sexual risk reduction therapy for youth are discussed, including the potential role of contingency management in future interventions. PMID:27629581

Properties of Traffic Risk Coefficient

NASA Astrophysics Data System (ADS)

Tang, Tie-Qiao; Huang, Hai-Jun; Shang, Hua-Yan; Xue, Yu

2009-10-01

We use the model with the consideration of the traffic interruption probability (Physica A 387(2008)6845) to study the relationship between the traffic risk coefficient and the traffic interruption probability. The analytical and numerical results show that the traffic interruption probability will reduce the traffic risk coefficient and that the reduction is related to the density, which shows that this model can improve traffic security.

Cardiovascular Risk Reduction in Children.

ERIC Educational Resources Information Center

Murray, David M.; And Others

1987-01-01

The paper presents a community model for reducing the risk of coronary heart disease in children and youth. The model addresses the individual, the family, social groups, and the larger social and physical environments. Exemplary programs are described and recommendations are made for additional research and program development. (Author/DB)

Insights from socio-hydrology modelling on dealing with flood risk - Roles of collective memory, risk-taking attitude and trust

NASA Astrophysics Data System (ADS)

Viglione, Alberto; Di Baldassarre, Giuliano; Brandimarte, Luigia; Kuil, Linda; Carr, Gemma; Salinas, José Luis; Scolobig, Anna; Blöschl, Günter

2014-10-01

The risk coping culture of a community plays a major role in the development of urban floodplains. In this paper we analyse, in a conceptual way, the interplay of community risk coping culture, flooding damage and economic growth. We particularly focus on three aspects: (i) collective memory, i.e., the capacity of the community to keep risk awareness high; (ii) risk-taking attitude, i.e., the amount of risk the community is collectively willing to be exposed to; and (iii) trust of the community in risk reduction measures. To this end, we use a dynamic model that represents the feedback between the hydrological and social system components. Model results indicate that, on the one hand, by under perceiving the risk of flooding (because of short collective memory and too much trust in flood protection structures) in combination with a high risk-taking attitude, community development is severely limited because of high damages caused by flooding. On the other hand, overestimation of risk (long memory and lack of trust in flood protection structures) leads to lost economic opportunities and recession. There are many scenarios of favourable development resulting from a trade-off between collective memory and trust in risk reduction measures combined with a low to moderate risk-taking attitude. Interestingly, the model gives rise to situations in which the development of the community in the floodplain is path dependent, i.e., the history of flooding may lead to community growth or recession.

Minority households’ willingness to pay for public and private wildfire risk reduction in Florida

Treesearch

Armando González-Cabán; José J. Sánchez

2017-01-01

The purpose of this work is to estimate willingness to pay (WTP) for minority (African-American and Hispanic) homeowners in Florida for private and public wildfire risk-reduction programs and also to test for differences in response between the two groups. A random parameter logit and latent class model allowed us to determine if there is a difference in wildfire...

Integrating adaptive behaviour in large-scale flood risk assessments: an Agent-Based Modelling approach

NASA Astrophysics Data System (ADS)

Haer, Toon; Aerts, Jeroen

2015-04-01

Between 1998 and 2009, Europe suffered over 213 major damaging floods, causing 1126 deaths, displacing around half a million people. In this period, floods caused at least 52 billion euro in insured economic losses making floods the most costly natural hazard faced in Europe. In many low-lying areas, the main strategy to cope with floods is to reduce the risk of the hazard through flood defence structures, like dikes and levees. However, it is suggested that part of the responsibility for flood protection needs to shift to households and businesses in areas at risk, and that governments and insurers can effectively stimulate the implementation of individual protective measures. However, adaptive behaviour towards flood risk reduction and the interaction between the government, insurers, and individuals has hardly been studied in large-scale flood risk assessments. In this study, an European Agent-Based Model is developed including agent representatives for the administrative stakeholders of European Member states, insurers and reinsurers markets, and individuals following complex behaviour models. The Agent-Based Modelling approach allows for an in-depth analysis of the interaction between heterogeneous autonomous agents and the resulting (non-)adaptive behaviour. Existing flood damage models are part of the European Agent-Based Model to allow for a dynamic response of both the agents and the environment to changing flood risk and protective efforts. By following an Agent-Based Modelling approach this study is a first contribution to overcome the limitations of traditional large-scale flood risk models in which the influence of individual adaptive behaviour towards flood risk reduction is often lacking.

Reducing intimate and paying partner violence against women who exchange sex in Mongolia: results from a randomized clinical trial.

PubMed

Carlson, Catherine E; Chen, Jiehua; Chang, Mingway; Batsukh, Altantsetseg; Toivgoo, Aira; Riedel, Marion; Witte, Susan S

2012-07-01

Women who exchange sex for money or other goods, that is, female sex workers, are at increased risk of experiencing physical and sexual violence from both paying and intimate partners. Exposure to violence can be exacerbated by alcohol use and HIV/STI risk. The purpose of this study is to examine the efficacy of a HIV/STI risk reduction and enhanced HIV/STI risk reduction intervention at decreasing paying and intimate partner violence against Mongolian women who exchange sex and engage in harmful alcohol use. Women are recruited and randomized to either (a) four sessions of a relationship-based HIV/STI risk reduction intervention (n = 49), (b) the same HIV/STI risk reduction intervention plus two additional motivational interviewing sessions (n = 58), or (c) a four session control condition focused on wellness promotion (n = 59). All the respondents complete assessments at baseline (preintervention) as well as at immediate posttest, 3 and 6 months postintervention. A multilevel logistic model finds that women who participated in the HIV/STI risk reduction group (OR = 0.14, p < .00), HIV/STI risk reduction and motivational interview group (OR = 0.46, p = .02), and wellness (OR = 0.20, p < .00) group reduced their exposure to physical and sexual violence in the past 90 days. No significant differences in effects are observed between conditions. This study demonstrates the efficacy of a relationship-based HIV/STI risk reduction intervention, a relationship-based HIV/STI risk reduction intervention combined with motivational interviewing, and a wellness promotion intervention in reducing intimate and paying partner violence against women who exchange sex in Mongolia. The findings have significant implications for the impact of minimal intervention and the potential role of peer networks and social support in reducing women's experiences of violence in resource poor settings.

Research and Evaluations of the Health Aspects of Disasters, Part IX: Risk-Reduction Framework.

PubMed

Birnbaum, Marvin L; Daily, Elaine K; O'Rourke, Ann P; Loretti, Alessandro

2016-06-01

A disaster is a failure of resilience to an event. Mitigating the risks that a hazard will progress into a destructive event, or increasing the resilience of a society-at-risk, requires careful analysis, planning, and execution. The Disaster Logic Model (DLM) is used to define the value (effects, costs, and outcome(s)), impacts, and benefits of interventions directed at risk reduction. A Risk-Reduction Framework, based on the DLM, details the processes involved in hazard mitigation and/or capacity-building interventions to augment the resilience of a community or to decrease the risk that a secondary event will develop. This Framework provides the structure to systematically undertake and evaluate risk-reduction interventions. It applies to all interventions aimed at hazard mitigation and/or increasing the absorbing, buffering, or response capacities of a community-at-risk for a primary or secondary event that could result in a disaster. The Framework utilizes the structure provided by the DLM and consists of 14 steps: (1) hazards and risks identification; (2) historical perspectives and predictions; (3) selection of hazard(s) to address; (4) selection of appropriate indicators; (5) identification of current resilience standards and benchmarks; (6) assessment of the current resilience status; (7) identification of resilience needs; (8) strategic planning; (9) selection of an appropriate intervention; (10) operational planning; (11) implementation; (12) assessments of outputs; (13) synthesis; and (14) feedback. Each of these steps is a transformation process that is described in detail. Emphasis is placed on the role of Coordination and Control during planning, implementation of risk-reduction/capacity building interventions, and evaluation. Birnbaum ML , Daily EK , O'Rourke AP , Loretti A . Research and evaluations of the health aspects of disasters, part IX: Risk-Reduction Framework. Prehosp Disaster Med. 2016;31(3):309-325.

Ultraviolet Radiation: Human Exposure and Health Risks.

ERIC Educational Resources Information Center

Tenkate, Thomas D.

1998-01-01

Provides an overview of human exposure to ultraviolet radiation and associated health effects as well as risk estimates for acute and chronic conditions resulting from such exposure. Demonstrates substantial reductions in health risk that can be achieved through preventive actions. Also includes a risk assessment model for skin cancer. Contains 36…

Data Model for Multi Hazard Risk Assessment Spatial Support Decision System

NASA Astrophysics Data System (ADS)

Andrejchenko, Vera; Bakker, Wim; van Westen, Cees

2014-05-01

The goal of the CHANGES Spatial Decision Support System is to support end-users in making decisions related to risk reduction measures for areas at risk from multiple hydro-meteorological hazards. The crucial parts in the design of the system are the user requirements, the data model, the data storage and management, and the relationships between the objects in the system. The implementation of the data model is carried out entirely with an open source database management system with a spatial extension. The web application is implemented using open source geospatial technologies with PostGIS as the database, Python for scripting, and Geoserver and javascript libraries for visualization and the client-side user-interface. The model can handle information from different study areas (currently, study areas from France, Romania, Italia and Poland are considered). Furthermore, the data model handles information about administrative units, projects accessible by different types of users, user-defined hazard types (floods, snow avalanches, debris flows, etc.), hazard intensity maps of different return periods, spatial probability maps, elements at risk maps (buildings, land parcels, linear features etc.), economic and population vulnerability information dependent on the hazard type and the type of the element at risk, in the form of vulnerability curves. The system has an inbuilt database of vulnerability curves, but users can also add their own ones. Included in the model is the management of a combination of different scenarios (e.g. related to climate change, land use change or population change) and alternatives (possible risk-reduction measures), as well as data-structures for saving the calculated economic or population loss or exposure per element at risk, aggregation of the loss and exposure using the administrative unit maps, and finally, producing the risk maps. The risk data can be used for cost-benefit analysis (CBA) and multi-criteria evaluation (SMCE). The data model includes data-structures for CBA and SMCE. The model is at the stage where risk and cost-benefit calculations can be stored but the remaining part is currently under development. Multi-criteria information, user management and the relation of these with the rest of the model is our next step. Having a carefully designed data model plays a crucial role in the development of the whole system for rapid development, keeping the data consistent, and in the end, support the end-user in making good decisions in risk-reduction measures related to multiple natural hazards. This work is part of the EU FP7 Marie Curie ITN "CHANGES"project (www.changes-itn.edu)

The influence of spatial resolution on human health risk co-benefit estimates for global climate policy assessments.

PubMed

Shih, Hsiu-Ching; Crawford-Brown, Douglas; Ma, Hwong-wen

2015-03-15

Assessment of the ability of climate policies to produce desired improvements in public health through co-benefits of air pollution reduction can consume resources in both time and research funds. These resources increase significantly as the spatial resolution of models increases. In addition, the level of spatial detail available in macroeconomic models at the heart of climate policy assessments is much lower than that available in traditional human health risk modeling. It is therefore important to determine whether increasing spatial resolution considerably affects risk-based decisions; which kinds of decisions might be affected; and under what conditions they will be affected. Human health risk co-benefits from carbon emissions reductions that bring about concurrent reductions in Particulate Matter (PM10) emissions is therefore examined here at four levels of spatial resolution (Uniform Nation, Uniform Region, Uniform County/city, Health Risk Assessment) in a case study of Taiwan as one of the geographic regions of a global macroeceonomic model, with results that are representative of small, industrialized nations within that global model. A metric of human health risk mortality (YOLL, years of life lost in life expectancy) is compared under assessments ranging from a "uniform simulation" in which there is no spatial resolution of changes in ambient air concentration under a policy to a "highly spatially resolved simulation" (called here Health Risk Assessment). PM10 is chosen in this study as the indicator of air pollution for which risks are assessed due to its significance as a co-benefit of carbon emissions reductions within climate mitigation policy. For the policy examined, the four estimates of mortality in the entirety of Taiwan are 747 YOLL, 834 YOLL, 984 YOLL and 916 YOLL, under Uniform Taiwan, Uniform Region, Uniform County and Health Risk Assessment respectively; or differences of 18%, 9%, 7% if the HRA methodology is taken as the baseline. While these differences are small compared to uncertainties in health risk assessment more generally, the ranks of different regions and of emissions categories as the focus of regulatory efforts estimated at these four levels of spatial resolution are quite different. The results suggest that issues of risk equity within a nation might be missed by the lower levels of spatial resolution, suggesting that low resolution models are suited to calculating national cost-benefit ratios but not as suited to assessing co-benefits of climate policies reflecting intersubject variability in risk, or in identifying sub-national regions and emissions sectors on which to focus attention (although even here, the errors introduced by low spatial resolution are generally less than 40%). Copyright © 2014 Elsevier Ltd. All rights reserved.

The prognostic role of body mass index on mortality amongst the middle-aged and elderly: a competing risk analysis.

PubMed

Ghaem Maralani, Haleh; Tai, Bee Choo; Wong, Tien Y; Tai, E Shyong; Li, Jialiang; Wang, Jie Jin; Mitchell, Paul

2014-01-01

To determine the relationship between body mass index (BMI) including its 5-year changes and mortality, and compare the results obtained using Cox and competing risks models. Our study subjects included 2216 persons aged ≥49 years who participated in the Blue Mountains Eye Study, Australia between 1992 and 1994, and returned for further follow-up examinations between 1997 and 1999. We examined the relationship between BMI and mortality using cubic spline. The Cox and competing risks models were used to assess the associations between baseline BMI and its 5-year changes with all-cause and cause-specific mortality. Amongst subjects aged ≤70 years, the relationship between BMI and all-cause mortality was U-shaped. For those aged >70 years, an L-shaped relationship was seen with no elevation in risk amongst the overweight/obese. Based on the competing risks model, obesity at baseline was associated with increased risk of cardiovascular death and reduction in BMI at 5-year was linked to an increase risk of cancer death amongst those aged ≤70 years. The cause-specific Cox model showed that reduction in BMI at 5-year was associated with cancer-death regardless of age, and with cardiovascular deaths among subjects aged ≤70 years. Cox regression model showed larger magnitude of effect with wider confidence interval as compared with competing risks model. Conditions associated with obesity are more likely to affect mortality among subjects aged ≤70 years, but not among those aged over 70 years. Cox model shows larger magnitude of effect in comparison with competing risks model. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

How Confident can we be in Flood Risk Assessments?

NASA Astrophysics Data System (ADS)

Merz, B.

2017-12-01

Flood risk management should be based on risk analyses quantifying the risk and its reduction for different risk reduction strategies. However, validating risk estimates by comparing model simulations with past observations is hardly possible, since the assessment typically encompasses extreme events and their impacts that have not been observed before. Hence, risk analyses are strongly based on assumptions and expert judgement. This situation opens the door for cognitive biases, such as `illusion of certainty', `overconfidence' or `recency bias'. Such biases operate specifically in complex situations with many factors involved, when uncertainty is high and events are probabilistic, or when close learning feedback loops are missing - aspects that all apply to risk analyses. This contribution discusses how confident we can be in flood risk assessments, and reflects about more rigorous approaches towards their validation.

What can('t) we do with global flood risk models?

NASA Astrophysics Data System (ADS)

Ward, Philip; Jongman, Brenden; Salamon, Peter; Simpson, Alanna; Winsemius, Hessel

2015-04-01

In recent years, several global scale flood risk models have become available. Within the scientific community these have been, and are being, used to assess and map the current levels of risk faced by countries and societies. Increasingly, they are also being used to assess how that level of risk may change in the future, under scenarios of climate change and/or socioeconomic development. More and more, these 'quick and not so dirty' methods are also being used in practice, for a large range of uses and applications, and by an increasing range of practitioners and decision makers. For example, assessments can be used by: International Financing Institutes for prioritising investments in the most promising natural disaster risk reduction measures and strategies; intra-national institutes in the monitoring of progress on risk reduction activities; the (re-)insurance industry in assessing their risk portfolios and potential changes in those portfolios under climate change; by multinational companies in assessing risks to their regional investments and supply chains; and by international aid organisations for improved resource planning. However, global scale flood risk models clearly have their limits, and therefore both modellers and users need to critically address the question 'What can('t) we do with global flood risk models?'. This contribution is intended to start a dialogue between model developers, users, and decision makers to better answer this question. We will provide a number of examples of how the GLOFRIS global flood risk model has recently been used in several practical applications, and share both the positive and negative insights gained through these experiences. We wish to discuss similar experiences with other groups of modelers, users, and decision-makers, in order to better understand and harness the potential of this new generation of models, understand the differences in model approaches followed and their impacts on applicability, and develop clarity on their limits and potential misuses.

Pilot Test of an Integrated Sexual Risk Reduction Intervention for Women with a History of Childhood Sexual Abuse.

PubMed

Senn, Theresa E; Braksmajer, Amy; Urban, Marguerite A; Coury-Doniger, Patricia; Carey, Michael P

2017-11-01

HIV and childhood sexual abuse (CSA) are intersecting public health problems for women. We pilot tested an integrated sexual risk reduction intervention for women with a history of CSA that addressed both the consequences of CSA [based on the Traumagenic Dynamics (TD) framework] and the antecedents of sexual risk behavior (based on the Information-Motivation-Behavioral Skills [IMB] model). Women with a history of CSA who were attending a public STI clinic (n = 84) were randomly assigned to a five-session integrated TD/IMB (experimental) group intervention or to a time-matched IMB-guided sexual risk reduction (control) group intervention. Preliminary findings indicated that women in the integrated TD/IMB intervention reduced their average number of episodes of unprotected sex with a primary partner, their alcohol use, and their likelihood of being in a violent relationship, relative to women in the IMB-only group. Our findings suggest that sexual risk reduction interventions that address both the consequences of CSA and the antecedents of sexual risk behavior may be efficacious in reducing sexual risk behavior among women who were sexually abused.

Global and local scale flood discharge simulations in the Rhine River basin for flood risk reduction benchmarking in the Flagship Project

NASA Astrophysics Data System (ADS)

Gädeke, Anne; Gusyev, Maksym; Magome, Jun; Sugiura, Ai; Cullmann, Johannes; Takeuchi, Kuniyoshi

2015-04-01

The global flood risk assessment is prerequisite to set global measurable targets of post-Hyogo Framework for Action (HFA) that mobilize international cooperation and national coordination towards disaster risk reduction (DRR) and requires the establishment of a uniform flood risk assessment methodology on various scales. To address these issues, the International Flood Initiative (IFI) has initiated a Flagship Project, which was launched in year 2013, to support flood risk reduction benchmarking at global, national and local levels. In the Flagship Project road map, it is planned to identify the original risk (1), to identify the reduced risk (2), and to facilitate the risk reduction actions (3). In order to achieve this goal at global, regional and local scales, international research collaboration is absolutely necessary involving domestic and international institutes, academia and research networks such as UNESCO International Centres. The joint collaboration by ICHARM and BfG was the first attempt that produced the first step (1a) results on the flood discharge estimates with inundation maps under way. As a result of this collaboration, we demonstrate the outcomes of the first step of the IFI Flagship Project to identify flood hazard in the Rhine river basin on the global and local scale. In our assessment, we utilized a distributed hydrological Block-wise TOP (BTOP) model on 20-km and 0.5-km scales with local precipitation and temperature input data between 1980 and 2004. We utilized existing 20-km BTOP model, which is applied globally, and constructed the local scale 0.5-km BTOP model for the Rhine River basin. For the BTOP model results, both calibrated 20-km and 0.5-km BTOP models had similar statistical performance and represented observed flood river discharges, epecially for 1993 and 1995 floods. From 20-km and 0.5-km BTOP simulation, the flood discharges of the selected return period were estimated using flood frequency analysis and were comparable to the the river gauging station data at the German part of the Rhine river basin. This is an important finding that both 0.5-km and 20-km BTOP models produce similar flood peak discharges although the 0.5-km BTOP model results indicate the importance of scale in the local flood hazard assessment. In summary, we highlight that this study serves as a demonstrative example of institutional collaboration and is stepping stone for the next step implementation of the IFI Flagship Project.

Preferences for breast cancer risk reduction among BRCA1/BRCA2 mutation carriers: a discrete-choice experiment.

PubMed

Liede, Alexander; Mansfield, Carol A; Metcalfe, Kelly A; Price, Melanie A; Snyder, Carrie; Lynch, Henry T; Friedman, Sue; Amelio, Justyna; Posner, Joshua; Narod, Steven A; Lindeman, Geoffrey J; Evans, D Gareth

2017-09-01

Unaffected women who carry BRCA1 or BRCA2 mutations face difficult choices about reducing their breast cancer risk. Understanding their treatment preferences could help us improve patient counseling and inform drug trials. The objective was to explore preferences for various risk-reducing options among women with germline BRCA1/2 mutations using a discrete-choice experiment survey and to compare expressed preferences with actual behaviors. A discrete-choice experiment survey was designed wherein women choose between hypothetical treatments to reduce breast cancer risk. The hypothetical treatments were characterized by the extent of breast cancer risk reduction, treatment duration, impact on fertility, hormone levels, risk of uterine cancer, and ease and mode of administration. Data were analyzed using a random-parameters logit model. Women were also asked to express their preference between surgical and chemoprevention options and to report on their actual risk-reduction actions. Women aged 25-55 years with germline BRCA1/2 mutations who were unaffected with breast or ovarian cancer were recruited through research registries at five clinics and a patient advocacy group. Between January 2015 and March 2016, 622 women completed the survey. Breast cancer risk reduction was the most important consideration expressed, followed by maintaining fertility. Among the subset of women who wished to have children in future, the ability to maintain fertility was the most important factor, followed by the extent of risk reduction. Many more women said they would take a chemoprevention drug than had actually taken chemoprevention. Women with BRCA1/2 mutations indicated strong preferences for breast cancer risk reduction and maintaining fertility. The expressed desire to have a safe chemoprevention drug available to them was not met by current chemoprevention options.

Effects of a cardiovascular risk reduction intervention with psychobehavioral strategies for Korean adults with type 2 diabetes and metabolic syndrome.

PubMed

Kim, Chun-Ja; Kim, Dae-Jung; Park, Hyung-Ran

2011-01-01

Type 2 diabetes mellitus (DM) and metabolic syndrome are associated with high risk of cardiovascular disease (CVD) and depression. Although lifestyle modifications including regular exercise and weight control are recommended as a primary approach to glycemic control and CVD risk reduction for people with DM and/or metabolic syndrome, little is known concerning the effects of CVD risk reduction interventions using psychobehavioral strategies in this population. This pilot study investigated the effects of a 16-week CVD risk reduction intervention in Korean adults with type 2 DM and metabolic syndrome. A prospective, pretest and posttest, controlled, quasi-experimental design enrolled a convenience sample of 43 Korean adults with type 2 DM and metabolic syndrome at a university hospital. The adults in the intervention group participated in a 16-week CVD risk reduction intervention consisting of 150 minutes of regular exercise per week; 200- to 300-kcal reduced daily diet for weight control; one-on-one psychobehavioral counseling based on constructs from the Transtheoretical Model such as processes of change, self-efficacy, and decisional balance; and telephone coaching for behavioral modification. Participants in the control group received a booklet with basic diabetic education as part of their routine care. Repeated-measures analysis of variance was used for analyzing the effects of the CVD risk reduction intervention on cardiometabolic risk factors including the UK Prospective Diabetes Study score for 10-year CVD risk, glycated hemoglobin (HbA1c), and depression. The intervention group showed significant reductions (P < .05) at 16 weeks, compared with the control group on the UK Prospective Diabetes Study fatal risk scale (-1.73% vs -0.04%), triglycerides (-38.5 vs -15.1 mg/dL), fasting plasma glucose (-29.24 vs +1.77 mg/dL), HbA1c (-0.37% vs +0.17%), and depression (score, -3.24 vs 1.40) measurements. This pilot study yielded evidence for the beneficial impact of the CVD risk reduction intervention for Korean adults with type 2 DM and metabolic syndrome on improved glycemic control, reduced CVD risk, and depression.

Using a Systematic Conceptual Model for a Process Evaluation of a Middle School Obesity Risk-Reduction Nutrition Curriculum Intervention: "Choice, Control & Change"

ERIC Educational Resources Information Center

Lee, Heewon; Contento, Isobel R.; Koch, Pamela

2013-01-01

Objective: To use and review a conceptual model of process evaluation and to examine the implementation of a nutrition education curriculum, "Choice, Control & Change", designed to promote dietary and physical activity behaviors that reduce obesity risk. Design: A process evaluation study based on a systematic conceptual model. Setting: Five…

Explaining trends in coronary heart disease mortality in different socioeconomic groups in Denmark 1991-2007 using the IMPACTSEC model.

PubMed

Joensen, Albert Marni; Joergensen, Torben; Lundbye-Christensen, Søren; Johansen, Martin Berg; Guzman-Castillo, Maria; Bandosz, Piotr; Hallas, Jesper; Prescott, Eva Irene Bossano; Capewell, Simon; O'Flaherty, Martin

2018-01-01

To quantify the contribution of changes in different risk factors population levels and treatment uptake on the decline in CHD mortality in Denmark from 1991 to 2007 in different socioeconomic groups. We used IMPACTSEC, a previously validated policy model using data from different population registries. All adults aged 25-84 years living in Denmark in 1991 and 2007. Deaths prevented or postponed (DPP). There were approximately 11,000 fewer CHD deaths in Denmark in 2007 than would be expected if the 1991 mortality rates had persisted. Higher mortality rates were observed in the lowest socioeconomic quintile. The highest absolute reduction in CHD mortality was seen in this group but the highest relative reduction was in the most affluent socioeconomic quintile. Overall, the IMPACTSEC model explained nearly two thirds of the decline in. Improved treatments accounted for approximately 25% with the least relative mortality reduction in the most deprived quintile. Risk factor improvements accounted for approximately 40% of the mortality decrease with similar gains across all socio-economic groups. The 36% gap in explaining all DPPs may reflect inaccurate data or risk factors not quantified in the current model. According to the IMPACTSEC model, the largest contribution to the CHD mortality decline in Denmark from 1991 to 2007 was from improvements in risk factors, with similar gains across all socio-economic groups. However, we found a clear socioeconomic trend for the treatment contribution favouring the most affluent groups.

Health Benefits of Reducing Sugar-Sweetened Beverage Intake in High Risk Populations of California: Results from the Cardiovascular Disease (CVD) Policy Model

PubMed Central

Mekonnen, Tekeshe A.; Odden, Michelle C.; Coxson, Pamela G.; Guzman, David; Lightwood, James; Wang, Y. Claire; Bibbins-Domingo, Kirsten

2013-01-01

Background Consumption of sugar-sweetened beverage (SSB) has risen over the past two decades, with over 10 million Californians drinking one or more SSB per day. High SSB intake is associated with risk of type 2 diabetes, obesity, hypertension, and coronary heart disease (CHD). Reduction of SSB intake and the potential impact on health outcomes in California and among racial, ethnic, and low-income sub-groups has not been quantified. Methods We projected the impact of reduced SSB consumption on health outcomes among all Californians and California subpopulations from 2013 to 2022. We used the CVD Policy Model – CA, an established computer simulation of diabetes and heart disease adapted to California. We modeled a reduction in SSB intake by 10–20% as has been projected to result from proposed penny-per-ounce excise tax on SSB and modeled varying effects of this reduction on health parameters including body mass index, blood pressure, and diabetes risk. We projected avoided cases of diabetes and CHD, and associated health care cost savings in 2012 US dollars. Results Over the next decade, a 10–20% SSB consumption reduction is projected to result in a 1.8–3.4% decline in the new cases of diabetes and an additional drop of 0.5–1% in incident CHD cases and 0.5–0.9% in total myocardial infarctions. The greatest reductions are expected in African Americans, Mexican Americans, and those with limited income regardless of race and ethnicity. This reduction in SSB consumption is projected to yield $320–620 million in medical cost savings associated with diabetes cases averted and an additional savings of $14–27 million in diabetes-related CHD costs avoided. Conclusions A reduction of SSB consumption could yield substantial population health benefits and cost savings for California. In particular, racial, ethnic, and low-income subgroups of California could reap the greatest health benefits. PMID:24349119

An improved risk-explicit interval linear programming model for pollution load allocation for watershed management.

PubMed

Xia, Bisheng; Qian, Xin; Yao, Hong

2017-11-01

Although the risk-explicit interval linear programming (REILP) model has solved the problem of having interval solutions, it has an equity problem, which can lead to unbalanced allocation between different decision variables. Therefore, an improved REILP model is proposed. This model adds an equity objective function and three constraint conditions to overcome this equity problem. In this case, pollution reduction is in proportion to pollutant load, which supports balanced development between different regional economies. The model is used to solve the problem of pollution load allocation in a small transboundary watershed. Compared with the REILP original model result, our model achieves equity between the upstream and downstream pollutant loads; it also overcomes the problem of greatest pollution reduction, where sources are nearest to the control section. The model provides a better solution to the problem of pollution load allocation than previous versions.

A Risk-Analysis Approach to Implementing Web-Based Assessment

ERIC Educational Resources Information Center

Ricketts, Chris; Zakrzewski, Stan

2005-01-01

Computer-Based Assessment is a risky business. This paper proposes the use of a model for web-based assessment systems that identifies pedagogic, operational, technical (non web-based), web-based and financial risks. The strategies and procedures for risk elimination or reduction arise from risk analysis and management and are the means by which…

A model for translating ethnography and theory into culturally constructed clinical practices.

PubMed

Nastasi, Bonnie Kaul; Schensul, Jean J; Schensul, Stephen L; Mekki-Berrada, Abelwahed; Pelto, Pertti J; Maitra, Shubhada; Verma, Ravi; Saggurti, Niranjan

2015-03-01

This article describes the development of a dynamic culturally constructed clinical practice model for HIV/STI prevention, the Narrative Intervention Model (NIM), and illustrates its application in practice, within the context of a 6-year transdisciplinary research program in Mumbai, India. Theory and research from anthropology, psychology, and public health, and mixed-method ethnographic research with practitioners, patients, and community members, contributed to the articulation of the NIM for HIV/STI risk reduction and prevention among married men living in low-income communities. The NIM involves a process of negotiation of patient narratives regarding their sexual health problems and related risk factors to facilitate risk reduction. The goal of the NIM is to facilitate cognitive-behavioral change through a three-stage process of co-construction (eliciting patient narrative), deconstruction (articulating discrepancies between current and desired narrative), and reconstruction (proposing alternative narratives that facilitate risk reduction). The NIM process extends the traditional clinical approach through the integration of biological, psychological, interpersonal, and cultural factors as depicted in the patient narrative. Our work demonstrates the use of a recursive integration of research and practice to address limitations of current evidence-based intervention approaches that fail to address the diversity of cultural constructions across populations and contexts.

A Model for Translating Ethnography and Theory into Culturally Constructed Clinical Practices

PubMed Central

Schensul, Jean J.; Schensul, Stephen L.; Mekki-Berrada, Abelwahed; Pelto, Pertti J.; Maitra, Shubhada; Verma, Ravi; Saggurti, Niranjan

2015-01-01

This article describes the development of a dynamic culturally constructed clinical practice model for HIV/STI prevention, the Narrative Intervention Model (NIM), and illustrates its application in practice, within the context of a 6-year transdisciplinary research program in Mumbai, India. Theory and research from anthropology, psychology, and public health, and mixed-method ethnographic research with practitioners, patients, and community members, contributed to the articulation of the NIM for HIV/STI risk reduction and prevention among married men living in low-income communities. The NIM involves a process of negotiation of patient narratives regarding their sexual health problems and related risk factors to facilitate risk reduction. The goal of the NIM is to facilitate cognitive-behavioral change through a three-stage process of co-construction (eliciting patient narrative), deconstruction (articulating discrepancies between current and desired narrative), and reconstruction (proposing alternative narratives that facilitate risk reduction). The NIM process extends the traditional clinical approach through the integration of biological, psychological, interpersonal, and cultural factors as depicted in the patient narrative. Our work demonstrates the use of a recursive integration of research and practice to address limitations of current evidence-based intervention approaches that fail to address the diversity of cultural constructions across populations and contexts. PMID:25292448

Trimming a hazard logic tree with a new model-order-reduction technique

USGS Publications Warehouse

Porter, Keith; Field, Edward; Milner, Kevin R

2017-01-01

The size of the logic tree within the Uniform California Earthquake Rupture Forecast Version 3, Time-Dependent (UCERF3-TD) model can challenge risk analyses of large portfolios. An insurer or catastrophe risk modeler concerned with losses to a California portfolio might have to evaluate a portfolio 57,600 times to estimate risk in light of the hazard possibility space. Which branches of the logic tree matter most, and which can one ignore? We employed two model-order-reduction techniques to simplify the model. We sought a subset of parameters that must vary, and the specific fixed values for the remaining parameters, to produce approximately the same loss distribution as the original model. The techniques are (1) a tornado-diagram approach we employed previously for UCERF2, and (2) an apparently novel probabilistic sensitivity approach that seems better suited to functions of nominal random variables. The new approach produces a reduced-order model with only 60 of the original 57,600 leaves. One can use the results to reduce computational effort in loss analyses by orders of magnitude.

Impact of the use of an alcohol-based hand sanitizer in the home on reduction in probability of infection by respiratory and enteric viruses.

PubMed

Tamimi, A H; Maxwell, S; Edmonds, S L; Gerba, C P

2015-11-01

The goal of this study was to determine the reduction in risk of infection by viruses with the use of an alcohol-based hand sanitizer, used in addition to routine hand washing, in family members in households. A quantitative microbial risk model was used to determine the probability of infection from the concentration of virus on the hands. The model incorporated variation in hand size, frequency of touching orifices (nose, mouth, eyes), and percent transfer to the site of infection, as well as, dose-response for each virus. Data on the occurrence of virus on household members' hands from an intervention study using MS-2 coliphage was used to determine the reduction of viruses on the hands pre- and post-intervention. It was found that the risk of rhinovirus, rotavirus or norovirus infection after the intervention was reduced by 47-98% depending upon the initial concentration of virus on the hands.

Barriers to human immunodeficiency virus related risk reduction among male street prostitutes.

PubMed

Simon, P M; Morse, E V; Balson, P M; Osofsky, H J; Gaumer, H R

1993-01-01

Two hundred eleven male street prostitutes between the ages of 18 and 51 years were interviewed and tested for antibodies to the human immunodeficiency virus (HIV). Economic, social, and emotional barriers to the reduction of HIV-related risk behavior were examined within the context of several concepts present in the Health Belief Model (HBM). Three lifestyle factors were found to function as barriers to engaging in risk reduction behavior. Subjects who were more economically dependent on prostitution, perceived less control over the hustling encounter, and reported increased pleasure from sexual activity with their customers were more likely to engage in risk-taking behavior. Prostitutes' perception of the severity of HIV infection was not significantly associated with their risk behavior. Unexpected findings indicated that increases in perceived susceptibility to HIV and perceived benefit of condom use for HIV prevention were significantly related to increased risk-taking behavior. Practical applications of findings in the design and implementation of future HIV-related preventive health education programs are discussed.

Microenterprise Development Interventions for Sexual Risk Reduction: A Systematic Review

PubMed Central

Lee, Ramon; Thirumurthy, Harsha; Muessig, Kathryn E.; Tucker, Joseph D.

2013-01-01

Comprehensive interventions that address both individual and structural determinants associated with HIV/STI risk are gaining increasing attention over the past decade. Microenterprise development offers an appealing model for HIV prevention by addressing poverty and gender equality. This study systematically reviewed the effects of microenterprise development interventions on HIV/STI incidence and sexual risk behaviors. Microenterprise development was defined as developing small business capacity among individuals to alleviate poverty. Seven eligible research studies representing five interventions were identified and included in this review. All of the studies targeted women, and three focused on sex workers. None measured biomarker outcomes. All three sex worker studies showed significant reduction in sexual risk behaviors when compared to the control group. Non-sex worker studies showed limited changes in sexual risk behavior. This review indicates the potential utility of microenterprise development in HIV risk reduction programs. More research is needed to determine how microenterprise development can be effectively incorporated in comprehensive HIV control strategies. PMID:23963497

Microenterprise development interventions for sexual risk reduction: a systematic review.

PubMed

Cui, Rosa R; Lee, Ramon; Thirumurthy, Harsha; Muessig, Kathryn E; Tucker, Joseph D

2013-11-01

Comprehensive interventions that address both individual and structural determinants associated with HIV/STI risk are gaining increasing attention over the past decade. Microenterprise development offers an appealing model for HIV prevention by addressing poverty and gender equality. This study systematically reviewed the effects of microenterprise development interventions on HIV/STI incidence and sexual risk behaviors. Microenterprise development was defined as developing small business capacity among individuals to alleviate poverty. Seven eligible research studies representing five interventions were identified and included in this review. All of the studies targeted women, and three focused on sex workers. None measured biomarker outcomes. All three sex worker studies showed significant reduction in sexual risk behaviors when compared to the control group. Non-sex worker studies showed limited changes in sexual risk behavior. This review indicates the potential utility of microenterprise development in HIV risk reduction programs. More research is needed to determine how microenterprise development can be effectively incorporated in comprehensive HIV control strategies.

Matriarchal model for cardiovascular prevention.

PubMed

Wild, R A; Taylor, E L; Knehans, A; Cleaver, V

1994-02-01

Family patterns of cardiovascular risk behavior are well documented. Significant correlation exists between spouse-spouse, parent-child, and sibling-sibling for cholesterol, high- and low-density lipoprotein, diet, physical activity, and smoking. Family/environmental influences are important in how/if risk and/or preventive behavior is learned. The family matriarch commonly functions as gatekeeper, controlling eating behavior, access to health care, and other patterns. She often acts as menu planner, shopper, and preparer of meals for all family members. She provides information and verbal reinforcement about food and is a powerful model concerning dietary practices. In fact, the mother, as head of household in most single-parent families, may be the only adult model for many children. Because relevance and credibility are the most important characteristics of a behavioral model, parents (especially mothers) are strong models for observational learning by children. Risk factor information and risk reduction activities adopted by the matriarch can be generalized to the entire family if she learns the skills to act as a change agent. Initiation of this process of education and training the matriarch lies with primary care providers for women (Ob-Gyns see most women). By teaching risk reduction to the matriarch as a component of primary care, physician interaction can have a rippling effect.

Benefit and harm of intensive blood pressure treatment: Derivation and validation of risk models using data from the SPRINT and ACCORD trials

PubMed Central

Denton, Brian T.; Hayward, Rodney A.

2017-01-01

Background Intensive blood pressure (BP) treatment can avert cardiovascular disease (CVD) events but can cause some serious adverse events. We sought to develop and validate risk models for predicting absolute risk difference (increased risk or decreased risk) for CVD events and serious adverse events from intensive BP therapy. A secondary aim was to test if the statistical method of elastic net regularization would improve the estimation of risk models for predicting absolute risk difference, as compared to a traditional backwards variable selection approach. Methods and findings Cox models were derived from SPRINT trial data and validated on ACCORD-BP trial data to estimate risk of CVD events and serious adverse events; the models included terms for intensive BP treatment and heterogeneous response to intensive treatment. The Cox models were then used to estimate the absolute reduction in probability of CVD events (benefit) and absolute increase in probability of serious adverse events (harm) for each individual from intensive treatment. We compared the method of elastic net regularization, which uses repeated internal cross-validation to select variables and estimate coefficients in the presence of collinearity, to a traditional backwards variable selection approach. Data from 9,069 SPRINT participants with complete data on covariates were utilized for model development, and data from 4,498 ACCORD-BP participants with complete data were utilized for model validation. Participants were exposed to intensive (goal systolic pressure < 120 mm Hg) versus standard (<140 mm Hg) treatment. Two composite primary outcome measures were evaluated: (i) CVD events/deaths (myocardial infarction, acute coronary syndrome, stroke, congestive heart failure, or CVD death), and (ii) serious adverse events (hypotension, syncope, electrolyte abnormalities, bradycardia, or acute kidney injury/failure). The model for CVD chosen through elastic net regularization included interaction terms suggesting that older age, black race, higher diastolic BP, and higher lipids were associated with greater CVD risk reduction benefits from intensive treatment, while current smoking was associated with fewer benefits. The model for serious adverse events chosen through elastic net regularization suggested that male sex, current smoking, statin use, elevated creatinine, and higher lipids were associated with greater risk of serious adverse events from intensive treatment. SPRINT participants in the highest predicted benefit subgroup had a number needed to treat (NNT) of 24 to prevent 1 CVD event/death over 5 years (absolute risk reduction [ARR] = 0.042, 95% CI: 0.018, 0.066; P = 0.001), those in the middle predicted benefit subgroup had a NNT of 76 (ARR = 0.013, 95% CI: −0.0001, 0.026; P = 0.053), and those in the lowest subgroup had no significant risk reduction (ARR = 0.006, 95% CI: −0.007, 0.018; P = 0.71). Those in the highest predicted harm subgroup had a number needed to harm (NNH) of 27 to induce 1 serious adverse event (absolute risk increase [ARI] = 0.038, 95% CI: 0.014, 0.061; P = 0.002), those in the middle predicted harm subgroup had a NNH of 41 (ARI = 0.025, 95% CI: 0.012, 0.038; P < 0.001), and those in the lowest subgroup had no significant risk increase (ARI = −0.007, 95% CI: −0.043, 0.030; P = 0.72). In ACCORD-BP, participants in the highest subgroup of predicted benefit had significant absolute CVD risk reduction, but the overall ACCORD-BP participant sample was skewed towards participants with less predicted benefit and more predicted risk than in SPRINT. The models chosen through traditional backwards selection had similar ability to identify absolute risk difference for CVD as the elastic net models, but poorer ability to correctly identify absolute risk difference for serious adverse events. A key limitation of the analysis is the limited sample size of the ACCORD-BP trial, which expanded confidence intervals for ARI among persons with type 2 diabetes. Additionally, it is not possible to mechanistically explain the physiological relationships explaining the heterogeneous treatment effects captured by the models, since the study was an observational secondary data analysis. Conclusions We found that predictive models could help identify subgroups of participants in both SPRINT and ACCORD-BP who had lower versus higher ARRs in CVD events/deaths with intensive BP treatment, and participants who had lower versus higher ARIs in serious adverse events. PMID:29040268

Economic value of atopic dermatitis prevention via infant formula use in high-risk Malaysian infants.

PubMed

Bhanegaonkar, Abhijeet J; Horodniceanu, Erica G; Abdul Latiff, Amir Hamzah; Woodhull, Sanjay; Khoo, Phaik Choo; Detzel, Patrick; Ji, Xiang; Botteman, Marc F

2015-04-01

Breastfeeding is best for infants and the World Health Organization recommends exclusive breastfeeding for at least the first 6 months of life. For those who are unable to be breastfed, previous studies demonstrate that feeding high-risk infants with hydrolyzed formulas instead of cow's milk formula (CMF) may decrease the risk of atopic dermatitis (AD). To estimate the economic impact of feeding high-risk, not exclusively breastfed, urban Malaysian infants with partiallyhydrolyzed whey-based formula (PHF-W) instead of CMF for the first 17 weeks of life as an AD risk reduction strategy. A cohort Markov model simulated the AD incidence and burden from birth to age 6 years in the target population fed with PHF-W vs. CMF. The model integrated published clinical and epidemiologic data, local cost data, and expert opinion. Modeled outcomes included AD-risk reduction, time spent post AD diagnosis, days without AD flare, quality-adjusted life years (QALYs), and costs (direct and indirect). Outcomes were discounted at 3% per year. Costs are expressed in Malaysian Ringgit (MYR; MYR 1,000 = United States dollar [US $]316.50). Feeding a high-risk infant PHF-W vs. CMF resulted in a 14% point reduction in AD risk (95% confidence interval [CI], 3%-23%), a 0.69-year (95% CI, 0.25-1.10) reduction in time spent post-AD diagnosis, additional 38 (95% CI, 2-94) days without AD flare, and an undiscounted gain of 0.041 (95% CI, 0.007-0.103) QALYs. The discounted AD-related 6-year cost estimates when feeding a high-risk infant with PHF-W were MYR 1,758 (US $556) (95% CI, MYR 917-3,033) and with CMF MYR 2,871 (US $909) (95% CI, MYR 1,697-4,278), resulting in a per-child net saving of MYR 1,113 (US $352) (95% CI, MYR 317-1,884) favoring PHF-W. Using PHF-W instead of CMF in this population is expected to result in AD-related costs savings.

Economic value of atopic dermatitis prevention via infant formula use in high-risk Malaysian infants

PubMed Central

Bhanegaonkar, Abhijeet J; Horodniceanu, Erica G; Abdul Latiff, Amir Hamzah; Woodhull, Sanjay; Khoo, Phaik Choo; Detzel, Patrick; Ji, Xiang

2015-01-01

Background Breastfeeding is best for infants and the World Health Organization recommends exclusive breastfeeding for at least the first 6 months of life. For those who are unable to be breastfed, previous studies demonstrate that feeding high-risk infants with hydrolyzed formulas instead of cow's milk formula (CMF) may decrease the risk of atopic dermatitis (AD). Objective To estimate the economic impact of feeding high-risk, not exclusively breastfed, urban Malaysian infants with partiallyhydrolyzed whey-based formula (PHF-W) instead of CMF for the first 17 weeks of life as an AD risk reduction strategy. Methods A cohort Markov model simulated the AD incidence and burden from birth to age 6 years in the target population fed with PHF-W vs. CMF. The model integrated published clinical and epidemiologic data, local cost data, and expert opinion. Modeled outcomes included AD-risk reduction, time spent post AD diagnosis, days without AD flare, quality-adjusted life years (QALYs), and costs (direct and indirect). Outcomes were discounted at 3% per year. Costs are expressed in Malaysian Ringgit (MYR; MYR 1,000 = United States dollar [US $]316.50). Results Feeding a high-risk infant PHF-W vs. CMF resulted in a 14% point reduction in AD risk (95% confidence interval [CI], 3%-23%), a 0.69-year (95% CI, 0.25-1.10) reduction in time spent post-AD diagnosis, additional 38 (95% CI, 2-94) days without AD flare, and an undiscounted gain of 0.041 (95% CI, 0.007-0.103) QALYs. The discounted AD-related 6-year cost estimates when feeding a high-risk infant with PHF-W were MYR 1,758 (US $556) (95% CI, MYR 917-3,033) and with CMF MYR 2,871 (US $909) (95% CI, MYR 1,697-4,278), resulting in a per-child net saving of MYR 1,113 (US $352) (95% CI, MYR 317-1,884) favoring PHF-W. Conclusion Using PHF-W instead of CMF in this population is expected to result in AD-related costs savings. PMID:25938073

Improvement in household stoves and risk of chronic obstructive pulmonary disease in Xuanwei, China: retrospective cohort study

PubMed Central

Chapman, Robert S; He, Xingzhou; Blair, Aaron E; Lan, Qing

2005-01-01

Objective To test whether improvement in household coal stoves affected the incidence of chronic obstructive pulmonary disease (COPD) in Xuanwei County, China. Design Retrospective cohort study (follow-up 1976-92) comparing incidence of COPD between groups with and without chimneys. Participants 20 453 people born into homes with unvented coal stoves;16 606 (81.2%) subsequently changed to stoves with chimneys. Intervention Installation of a chimney in households in which unvented stoves had been used previously. Results Installation of a chimney was associated with distinct reduction in the incidence of COPD. Compared with people who did not have chimneys, the Cox-modelled risk ratio (relative risk) was 0.58 (95% confidence interval 0.49 to 0.70, P < 0.001) in men and 0.75 (0.62 to 0.92, P = 0.005) in women. Modelled risk ratios were robust to different Cox model specifications. Relative risks decreased with time since stove improvement. In both sexes, the reduction in risk became unequivocal about 10 years after stove improvement. Conclusions In Xuanwei, incidence of COPD decreased markedly after household coal stoves were improved. PMID:16234255

Tamoxifen for breast cancer risk reduction: impact of alternative approaches to quality-of-life adjustment on cost-effectiveness analysis.

PubMed

Melnikow, Joy; Birch, Stephen; Slee, Christina; McCarthy, Theodore J; Helms, L Jay; Kuppermann, Miriam

2008-09-01

In cost-effectiveness analysis (CEA), the effects of health-care interventions on multiple health dimensions typically require consideration of both quantity and quality of life. To explore the impact of alternative approaches to quality-of-life adjustment using patient preferences (utilities) on the outcome of a CEA on use of tamoxifen for breast cancer risk reduction. A state transition Markov model tracked hypothetical cohorts of women who did or did not take 5 years of tamoxifen for breast cancer risk reduction. Incremental quality-adjusted effectiveness and cost-effectiveness ratios (ICERs) for models including and excluding a utility adjustment for menopausal symptoms were compared with each other and to a global utility model. Two hundred fifty-five women aged 50 and over with estimated 5-year breast cancer risk >or=1.67% participated in utility assessment interviews. Standard gamble utilities were assessed for specified tamoxifen-related health outcomes, current health, and for a global assessment of possible outcomes of tamoxifen use. Inclusion of a utility for menopausal symptoms in the outcome-specific models substantially increased the ICER; at the threshold 5-year breast cancer risk of 1.67%, tamoxifen was dominated. When a global utility for tamoxifen was used in place of outcome-specific utilities, tamoxifen was dominated under all circumstances. CEAs may be profoundly affected by the types of outcomes considered for quality-of-life adjustment and how these outcomes are grouped for utility assessment. Comparisons of ICERs across analyses must consider effects of different approaches to using utilities for quality-of-life adjustment.

Development and use of role model stories in a community level HIV risk reduction intervention.

PubMed Central

Corby, N H; Enguídanos, S M; Kay, L S

1996-01-01

A theory-based HIV prevention intervention was implemented as part of a five-city AIDS Community Demonstration Project for the development and testing of a community-level intervention to reduce AIDS risk among historically underserved groups. This intervention employed written material containing stories of risk-reducing experiences of members of the priority populations, in this case, injecting drug users, their female sex partners, and female sex workers. These materials were distributed to members of these populations by their peers, volunteers from the population who were trained to deliver social reinforcement for interest in personal risk reduction and the materials. The participation of the priority populations in the development and implementation of the intervention was designed to increase the credibility of the intervention and the acceptance of the message. The techniques involved in developing role-model stories are described in this paper. PMID:8862158

Blood Pressure Reduction and Secondary Stroke Prevention: A Systematic Review and Metaregression Analysis of Randomized Clinical Trials.

PubMed

Katsanos, Aristeidis H; Filippatou, Angeliki; Manios, Efstathios; Deftereos, Spyridon; Parissis, John; Frogoudaki, Alexandra; Vrettou, Agathi-Rosa; Ikonomidis, Ignatios; Pikilidou, Maria; Kargiotis, Odysseas; Voumvourakis, Konstantinos; Alexandrov, Anne W; Alexandrov, Andrei V; Tsivgoulis, Georgios

2017-01-01

Current recommendations do not specifically address the optimal blood pressure (BP) reduction for secondary stroke prevention in patients with previous cerebrovascular events. We conducted a systematic review and metaregression analysis on the association of BP reduction with recurrent stroke and cardiovascular events using data from randomized controlled clinical trials of secondary stroke prevention. For all reported events during each eligible study period, we calculated the corresponding risk ratios to express the comparison of event occurrence risk between patients randomized to antihypertensive treatment and those randomized to placebo. On the basis of the reported BP values, we performed univariate metaregression analyses according to the achieved BP values under the random-effects model (Method of Moments) for those adverse events reported in ≥10 total subgroups of included randomized controlled clinical trials. In pairwise meta-analyses, antihypertensive treatment lowered the risk for recurrent stroke (risk ratio, 0.73; 95% confidence interval, 0.62-0.87; P<0.001), disabling or fatal stroke (risk ratio, 0.71; 95% confidence interval, 0.59-0.85; P<0.001), and cardiovascular death (risk ratio, 0.85; 95% confidence interval, 0.75-0.96; P=0.01). In metaregression analyses, systolic BP reduction was linearly related to the lower risk of recurrent stroke (P=0.049), myocardial infarction (P=0.024), death from any cause (P=0.001), and cardiovascular death (P<0.001). Similarly, diastolic BP reduction was linearly related to a lower risk of recurrent stroke (P=0.026) and all-cause mortality (P=0.009). Funnel plot inspection and Egger statistical test revealed no evidence of publication bias. The extent of BP reduction is linearly associated with the magnitude of risk reduction in recurrent cerebrovascular and cardiovascular events. Strict and aggressive BP control seems to be essential for effective secondary stroke prevention. © 2016 American Heart Association, Inc.

Modeling methylene chloride exposure-reduction options for home paint-stripper users.

PubMed

Riley, D M; Small, M J; Fischhoff, B

2000-01-01

Home improvement is a popular activity, but one that can also involve exposure to hazardous substances. Paint stripping is of particular concern because of the high potential exposures to methylene chloride, a solvent that is a potential human carcinogen and neurotoxicant. This article presents a general methodology for evaluating the effectiveness of behavioral interventions for reducing these risks. It doubles as a model that assesses exposure patterns, incorporating user time-activity patterns and risk-mitigation strategies. The model draws upon recent innovations in indoor air-quality modeling to estimate exposure through inhalation and dermal pathways to paint-stripper users. It is designed to use data gathered from home paint-stripper users about room characteristics, amount of stripper used, time-activity patterns and exposure-reduction strategies (e.g., increased ventilation and modification in the timing of stripper application, scraping, and breaks). Results indicate that the effectiveness of behavioral interventions depends strongly on characteristics of the room (e.g., size, number and size of doors and windows, base air-exchange rates). The greatest simple reduction in exposure is achieved by using an exhaust fan in addition to opening windows and doors. These results can help identify the most important information for product labels and other risk-communication materials.

Suicide risk reduction in youths with attention-deficit/hyperactivity disorder prescribed methylphenidate: A Taiwan nationwide population-based cohort study.

PubMed

Liang, Sophie Hsin-Yi; Yang, Yao-Hsu; Kuo, Ting-Yu; Liao, Yin-To; Lin, Tzu-Chin; Lee, Yena; McIntyre, Roger S; Kelsen, Brent A; Wang, Tsu-Nai; Chen, Vincent Chin-Hung

2018-01-01

Attention-deficit/hyperactivity disorder (ADHD) youths have increased suicide risk. Nevertheless, the beneficial effects of methylphenidate (MPH) on suicide attempt have received relatively little attention. To investigate the MPH usage and the risk of suicide attempt among ADHD youths. We identified 84,898 youths less than 18 years old with ADHD diagnosis between 1997 and 2013 from National Health Insurance, and examined whether MPH use affected suicide attempt risk using Cox proportional-hazards models. Among ADHD youths, reduction of suicide risk was found in patients prescribed 90-180days of MPH after adjusting for confounding factors (hazard ratio (HR): 0.41, 95% confidence interval (CI): 0.19-0.90) and a greater reduction in those prescribed more than 180days of MPH (HR: 0.28, 95% CI: 0.17-0.48). We observed a 59% suicide attempt risk reduction among ADHD youths prescribed between 90 and 180days and a 72% risk reduction in those prescribed more than 180days of MPH. The protective benefit observed by the group prescribed MPH for longer duration underscores the importance of psychoeducation and compliance enhancement as part of ADHD management. Indication bias is identified as a limitation of this study, and future self-case control study to investigate the association between suicide attempt and ADHD medication is suggested. This nationwide population-based cohort study showed that among ADHD youths, reduction of suicide risk was observed in patients prescribed MPH for duration 90days and longer, underscoring the importance of appropriate ADHD pharmacotherapy and enhancing drug compliance. Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.

Risk reduction in road and rail LPG transportation by passive fire protection.

PubMed

Paltrinieri, Nicola; Landucci, Gabriele; Molag, Menso; Bonvicini, Sarah; Spadoni, Gigliola; Cozzani, Valerio

2009-08-15

The potential reduction of risk in LPG (Liquefied Petroleum Gas) road transport due to the adoption of passive fire protections was investigated. Experimental data available for small scale vessels fully engulfed by a fire were extended to real scale road and rail tankers through a finite elements model. The results of mathematical simulations of real scale fire engulfment scenarios that may follow accidents involving LPG tankers proved the effectiveness of the thermal protections in preventing the "fired" BLEVE (Boiling Liquid Expanding Vapour Explosion) scenario. The presence of a thermal coating greatly increases the "time to failure", providing a time lapse that in the European experience may be considered sufficient to allow the start of effective mitigation actions by fire brigades. The results obtained were used to calculate the expected reduction of individual and societal risk due to LPG transportation in real case scenarios. The analysis confirmed that the introduction of passive fire protections turns out in a significant reduction of risk, up to an order of magnitude in the case of individual risk and of about 50% if the expectation value is considered. Thus, the adoption of passive fire protections, not compulsory in European regulations, may be an effective technical measure for risk reduction, and may contribute to achieve the control of "major accidents hazards" cited by the European legislation.

Predicting survival in AIDS: refining the model.

PubMed

Hutchinson, S J; Brettle, R P; Gore, S M

1997-11-01

We tested the validity of a previously-published AIDS staging system by examining AIDS-defining diseases (ADDs) and CD4 counts as prognostic factors for survival of the 248 AIDS patients in the Edinburgh City Hospital Cohort, of whom 56% were injecting drug-users (IDUs). Cox regression was used to model the proportionality of risk of death as the CD4 count declined and more ADDs were experienced, and dependence upon post-AIDS treatment. Using the system of Mocroft et al. (Lancet 1995; 346:12-17) to grade severity, our data were well enough modelled, but we suggest: (i) regrading of HIV dementia (RR 3.9, 95% CI 2.5-6.0), mainly attributed to the drug users, to a very severe ADD; (ii) reduction in risk from zidovudine (RR 0.7, 95% CI 0.5-1.0) during AIDS follow-up for patients starting treatment at or after AIDS diagnosis; (iii) improved management of first mild ADDs (from 1987-89 to 1994-95: 40% reduction in IDUs appearing with mild index diseases, and an approximate three-fold reduction in risk associated with a mild ADD). This study supports previous findings on the significance of ADDs and lowest CD4 count in predicting the lifetime of AIDS patients.

Explaining trends in coronary heart disease mortality in different socioeconomic groups in Denmark 1991-2007 using the IMPACTSEC model

PubMed Central

Joergensen, Torben; Bandosz, Piotr; Hallas, Jesper; Prescott, Eva Irene Bossano; Capewell, Simon

2018-01-01

Aim To quantify the contribution of changes in different risk factors population levels and treatment uptake on the decline in CHD mortality in Denmark from 1991 to 2007 in different socioeconomic groups. Design We used IMPACTSEC, a previously validated policy model using data from different population registries. Participants All adults aged 25–84 years living in Denmark in 1991 and 2007. Main outcome measure Deaths prevented or postponed (DPP). Results There were approximately 11,000 fewer CHD deaths in Denmark in 2007 than would be expected if the 1991 mortality rates had persisted. Higher mortality rates were observed in the lowest socioeconomic quintile. The highest absolute reduction in CHD mortality was seen in this group but the highest relative reduction was in the most affluent socioeconomic quintile. Overall, the IMPACTSEC model explained nearly two thirds of the decline in. Improved treatments accounted for approximately 25% with the least relative mortality reduction in the most deprived quintile. Risk factor improvements accounted for approximately 40% of the mortality decrease with similar gains across all socio-economic groups. The 36% gap in explaining all DPPs may reflect inaccurate data or risk factors not quantified in the current model. Conclusions According to the IMPACTSEC model, the largest contribution to the CHD mortality decline in Denmark from 1991 to 2007 was from improvements in risk factors, with similar gains across all socio-economic groups. However, we found a clear socioeconomic trend for the treatment contribution favouring the most affluent groups. PMID:29672537

Can private land conservation reduce wildfire risk to homes? A case study in San Diego County, California, USA

USGS Publications Warehouse

Butsic, Van; Syphard, Alexandra D.; Keeley, Jon E.; Bar-Massada, Avi

2017-01-01

The purchase of private land for conservation purposes is a common way to prevent the exploitation of sensitive ecological areas. However, private land conservation can also provide other benefits, one of these being natural hazard reduction. Here, we investigated the impacts of private land conservation on fire risk to homes in San Diego County, California. We coupled an econometric land use change model with a model that estimates the probability of house loss due to fire in order to compare fire risk at the county and municipality scale under alternative private land purchasing schemes and over a 20 year time horizon. We found that conservation purchases could reduce fire risk on this landscape, and the amount of risk reduction was related to the targeting approach used to choose which parcels were conserved. Conservation land purchases that targeted parcels designated as high fire hazard resulted in lower fire risk to homes than purchases that targeted low costs or high likelihood to subdivide. This result was driven by (1) preventing home placement in fire prone areas and (2) taking land off the market, and hence increasing development densities in other areas. These results raise the possibility that resource conservation and fire hazard reduction may benefit from combining efforts. With adequate planning, future conservation purchases could have synergistic effects beyond just protecting ecologically sensitive areas.

Estimating Longitudinal Risks and Benefits From Cardiovascular Preventive Therapies Among Medicare Patients: The Million Hearts Longitudinal ASCVD Risk Assessment Tool

PubMed Central

Lloyd-Jones, Donald M.; Huffman, Mark D.; Karmali, Kunal N.; Sanghavi, Darshak M.; Wright, Janet S.; Pelser, Colleen; Gulati, Martha; Masoudi, Frederick A.; Goff, David C.

2016-01-01

The Million Hearts Initiative has a goal of preventing 1 million heart attacks and strokes—the leading causes of mortality—through several public health and healthcare strategies by 2017. The American Heart Association and American College of Cardiology support the program. The Cardiovascular Risk Reduction Model was developed by Million Hearts and the Center for Medicare & Medicaid Services as a strategy to asses a value-based payment approach toward reduction in 10-year predicted risk of atherosclerotic cardiovascular disease (ASCVD) by implementing cardiovascular preventive strategies to manage the “ABCS” (aspirin therapy in appropriate patients, blood pressure control, cholesterol management, and smoking cessation). The purpose of this special report is to describe the development and intended use of the Million Hearts Longitudinal ASCVD Risk Assessment Tool. The Million Hearts Tool reinforces and builds on the “2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk” by allowing clinicians to estimate baseline and updated 10-year ASCVD risk estimates for primary prevention patients adhering to the appropriate ABCS over time, alone or in combination. The tool provides updated risk estimates based on evidence from high-quality systematic reviews and meta-analyses of the ABCS therapies. This novel approach to personalized estimation of benefits from risk-reducing therapies in primary prevention may help target therapies to those in whom they will provide the greatest benefit, and serves as the basis for a Center for Medicare & Medicaid Services program designed to evaluate the Million Hearts Cardiovascular Risk Reduction Model. PMID:27825770

Application of a web-based Decision Support System in risk management

NASA Astrophysics Data System (ADS)

Aye, Zar Chi; Jaboyedoff, Michel; Derron, Marc-Henri

2013-04-01

Increasingly, risk information is widely available with the help of advanced technologies such as earth observation satellites, global positioning technologies, coupled with hazard modeling and analysis, and geographical information systems (GIS). Even though it exists, no effort will be put into action if it is not properly presented to the decision makers. These information need to be communicated clearly and show its usefulness so that people can make better informed decision. Therefore, communicating available risk information has become an important challenge and decision support systems have been one of the significant approaches which can help not only in presenting risk information to the decision makers but also in making efficient decisions while reducing human resources and time needed. In this study, the conceptual framework of an internet-based decision support system is presented to highlight its importance role in risk management framework and how it can be applied in case study areas chosen. The main purpose of the proposed system is to facilitate the available risk information in risk reduction by taking into account of the changes in climate, land use and socio-economic along with the risk scenarios. It allows the users to formulate, compare and select risk reduction scenarios (mainly for floods and landslides) through an enhanced participatory platform with diverse stakeholders' involvement in the decision making process. It is based on the three-tier (client-server) architecture which integrates web-GIS plus DSS functionalities together with cost benefit analysis and other supporting tools. Embedding web-GIS provides its end users to make better planning and informed decisions referenced to a geographical location, which is the one of the essential factors in disaster risk reduction programs. Different risk reduction measures of a specific area (local scale) will be evaluated using this web-GIS tool, available risk scenarios obtained from Probabilistic Risk Assessment (PRA) model and the knowledge collected from experts. The visualization of the risk reduction scenarios can also be shared among the users on the web to support the on-line participatory process. In addition, cost-benefit ratios of the different risk reduction scenarios can be prepared in order to serve as inputs for high-level decision makers. The most appropriate risk reduction scenarios will be chosen using Multi-Criteria Evaluation (MCE) method by weighting different parameters according to the preferences and criteria defined by the users. The role of public participation has been changing from one-way communication between authorities, experts, stakeholders and citizens towards more intensive two-way interaction. Involving the affected public and interest groups can enhance the level of legitimacy, transparency, and confidence in the decision making process. Due to its important part in decision making, online participatory tool is included in the DSS in order to allow the involved stakeholders interactively in risk reduction and be aware of the existing vulnerability conditions of the community. Moreover, it aims to achieve a more transparent and better informed decision-making process. The system is under in progress and the first tools implemented will be presented showing the wide possibilities of new web technologies which can have a great impact on the decision making process. It will be applied in four pilot areas in Europe: French Alps, North Eastern Italy, Romania and Poland. Nevertheless, the framework will be designed and implemented in a way to be applicable in any other regions.

Male adolescent sexual behavior: what they know and what they wish they had known.

PubMed

Collins, Jennifer L; Champion, Jane Dimmitt

2009-10-01

There is a need to involve sexual partners when addressing sexual behavior of high-risk adolescent women. This study explored men's perceptions of their role in sexual relationships with adolescent women with a history of sexually transmitted infection (STI) and abuse. The AIDS risk reduction model was used to assess sexual risk behaviors of these men for development of cognitive behavioral risk reduction interventions for themselves and partner. Qualitative interviews were conducted with African and Mexican American men (n = 14; ages 18 to 21 years), recruited via adolescent women enrolled in a control-randomized trial of behavioral interventions for reduction of unintended pregnancy, abuse, substance use, and STI. Participants varied in their perceptions of personal susceptibility to STI or HIV, access to informational resources regarding sexual behavior, and level of adult support for safer sexual behavior. These men shared perceptions of inadequate sexual health preparation, including education concerning risk, ultimately contributing to adverse outcomes of sexual behavior.

Estimating the return-on-investment from changes in employee health risks on the Dow Chemical Company's health care costs.

PubMed

Goetzel, Ron Z; Ozminkowski, Ronald J; Baase, Catherine M; Billotti, Gary M

2005-08-01

We sought to estimate the impact of corporate health-management and risk-reduction programs for The Dow Chemical Company by using a prospective return-on-investment (ROI) model. The risk and expenditure estimates were derived from multiple regression analyses showing relationships between worker demographics, health risks, and medical expenditures. A "break-even" scenario would require Dow to reduce each of 10 population health risks by 0.17% points per year over the course of 10 years. More successful efforts at reducing health risks in the population would produce a more significant ROI for the company. Findings from this study were incorporated into other components of a business case for health and productivity management, and these supported continued investments in health improvement programs designed to achieve risk reduction and cost savings.

Quantifying the efficiency and equity implications of power plant air pollution control strategies in the United States

DOE Office of Scientific and Technical Information (OSTI.GOV)

Levy, J.I.; Wilson, A.M.; Zwack, L.M.

2007-05-15

We modeled the public health benefits and the change in the spatial inequality of health risk for a number of hypothetical control scenarios for power plants in the United States to determine optimal control strategies. We simulated various ways by which emission reductions of sulfur dioxide (SO{sub 2}), nitrogen oxides, and fine particulate matter (PM2.5) could be distributed to reach national emissions caps. We applied a source-receptor matrix to determine the PM2.5 concentration changes associated with each control scenario and estimated the mortality reductions. We estimated changes in the spatial inequality of health risk using the Atkinson index and othermore » indicators, following previously derived axioms for measuring health risk inequality. In our baseline model, benefits ranged from 17,000-21,000 fewer premature deaths per year across control scenarios. Scenarios with greater health benefits also tended to have greater reductions in the spatial inequality of health risk, as many sources with high health benefits per unit emissions of SO{sub 2} were in areas with high background PM2.5 concentrations. Sensitivity analyses indicated that conclusions were generally robust to the choice of indicator and other model specifications. Our analysis demonstrates an approach for formally quantifying both the magnitude and spatial distribution of health benefits of pollution control strategies, allowing for joint consideration of efficiency and equity.« less

Evaluation of volcanic risk management in Merapi and Bromo Volcanoes

NASA Astrophysics Data System (ADS)

Bachri, S.; Stöetter, J.; Sartohadi, J.; Setiawan, M. A.

2012-04-01

Merapi (Central Java Province) and Bromo (East Java Province) volcanoes have human-environmental systems with unique characteristics, thus causing specific consequences on their risk management. Various efforts have been carried out by many parties (institutional government, scientists, and non-governmental organizations) to reduce the risk in these areas. However, it is likely that most of the actions have been done for temporary and partial purposes, leading to overlapping work and finally to a non-integrated scheme of volcanic risk management. This study, therefore, aims to identify and evaluate actions of risk and disaster reduction in Merapi and Bromo Volcanoes. To achieve this aims, a thorough literature review was carried out to identify earlier studies in both areas. Afterward, the basic concept of risk management cycle, consisting of risk assessment, risk reduction, event management and regeneration, is used to map those earlier studies and already implemented risk management actions in Merapi and Bromo. The results show that risk studies in Merapi have been developed predominantly on physical aspects of volcanic eruptions, i.e. models of lahar flows, hazard maps as well as other geophysical modeling. Furthermore, after the 2006 eruption of Merapi, research such on risk communication, social vulnerability, cultural vulnerability have appeared on the social side of risk management research. Apart from that, disaster risk management activities in the Bromo area were emphasizing on physical process and historical religious aspects. This overview of both study areas provides information on how risk studies have been used for managing the volcano disaster. This result confirms that most of earlier studies emphasize on the risk assessment and only few of them consider the risk reduction phase. Further investigation in this field work in the near future will accomplish the findings and contribute to formulate integrated volcanic risk management cycles for both Merapi and Bromo. Keywords: Risk management, volcanoes hazard, Merapi and Bromo Volcano Indonesia

Reducing the risks of diabetes complications through diabetes self-management education and support.

PubMed

Kent, Dan; D'Eramo Melkus, Gail; Stuart, Patricia Mickey W; McKoy, June M; Urbanski, Patti; Boren, Suzanne Austin; Coke, Lola; Winters, Janis E; Horsley, Neil L; Sherr, Dawn; Lipman, Ruth

2013-04-01

People with diabetes are at risk of developing complications that contribute to substantial morbidity and mortality. In 2011, the American Association of Diabetes Educators convened an invitational Reducing Risks Symposium, during which an interdisciplinary panel of 11 thought leaders examined current knowledge about the reduction and prevention of diabetes-related risks and translated evidence into diabetes care and self-management education. Symposium participants reviewed findings from the literature and engaged in a moderated roundtable discussion. This report summarizes the discussion and presents recommendations to incorporate into practice to improve outcomes. The objective of the symposium was to develop practical advice for diabetes educators and other members of the diabetes care team regarding the reduction of diabetes-related risks. Optimal diabetes management requires patients to actively participate in their care, which occurs most effectively with a multidisciplinary team. Diabetes education is an integral part of this team approach because it not only helps the patient understand diabetes, its progression, and possible complications, but also provides guidance and encouragement to the patient to engage in proactive risk-reduction decisions for optimal health. A variety of tools are available to help the diabetes educator develop an individualized, patient-centered plan for risk reduction. More research is needed regarding intervention efficacy, best practices to improve adherence, and quantification of benefits from ongoing diabetes support in risk reduction. Diabetes educators are urged to stay abreast of evolving models of care and to build relationships with health care providers both within and beyond the diabetes care team.

Alcohol Consumption and the Risk of Type 2 Diabetes: A Systematic Review and Dose-Response Meta-analysis of More Than 1.9 Million Individuals From 38 Observational Studies.

PubMed

Knott, Craig; Bell, Steven; Britton, Annie

2015-09-01

Observational studies indicate that moderate levels of alcohol consumption may reduce the risk of type 2 diabetes. In addition to providing an updated summary of the existing literature, this meta-analysis explored whether reductions in risk may be the product of misclassification bias. A systematic search was undertaken, identifying studies that reported a temporal association between alcohol consumption and the risk of type 2 diabetes. No restrictions were placed upon the language or date of publication. Non-English publications were, where necessary, translated using online translation tools. Models were constructed using fractional polynomial regression to determine the best-fitting dose-response relationship between alcohol intake and type 2 diabetes, with a priori testing of sex and referent group interactions. Thirty-eight studies met the selection criteria, representing 1,902,605 participants and 125,926 cases of type 2 diabetes. A conventional noncurrent drinking category was reported by 33 studies, while five reported a never-drinking category. Relative to combined abstainers, reductions in the risk of type 2 diabetes were present at all levels of alcohol intake <63 g/day, with risks increasing above this threshold. Peak risk reduction was present between 10-14 g/day at an 18% decrease in hazards. Stratification of available data revealed that reductions in risk may be specific to women only and absent in studies that adopted a never-drinking abstention category or sampled an Asian population region. Reductions in risk among moderate alcohol drinkers may be confined to women and non-Asian populations. Although based on a minority of studies, there is also the possibility that reductions in risk may have been overestimated by studies using a referent group contaminated by less healthy former drinkers. © 2015 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.

Sex Is Like Jelly Beans: Educating Students on the Risks of Oral Sex

ERIC Educational Resources Information Center

Moore, Erin; Harris, Terrance

2014-01-01

This study provides a description of an innovative workshop that educated college students about the risks of unprotected sexual behavior, particularly oral sex, and methods of risk reduction using a metaphor of "sharing and eating jelly beans." Intervention development was guided by the Information-Motivation-Behavioral Skills model.…

Soft-sensing model of temperature for aluminum reduction cell on improved twin support vector regression

NASA Astrophysics Data System (ADS)

Li, Tao

2018-06-01

The complexity of aluminum electrolysis process leads the temperature for aluminum reduction cells hard to measure directly. However, temperature is the control center of aluminum production. To solve this problem, combining some aluminum plant's practice data, this paper presents a Soft-sensing model of temperature for aluminum electrolysis process on Improved Twin Support Vector Regression (ITSVR). ITSVR eliminates the slow learning speed of Support Vector Regression (SVR) and the over-fit risk of Twin Support Vector Regression (TSVR) by introducing a regularization term into the objective function of TSVR, which ensures the structural risk minimization principle and lower computational complexity. Finally, the model with some other parameters as auxiliary variable, predicts the temperature by ITSVR. The simulation result shows Soft-sensing model based on ITSVR has short time-consuming and better generalization.

Intervenable factors associated with suicide risk in transgender persons: a respondent driven sampling study in Ontario, Canada.

PubMed

Bauer, Greta R; Scheim, Ayden I; Pyne, Jake; Travers, Robb; Hammond, Rebecca

2015-06-02

Across Europe, Canada, and the United States, 22-43 % of transgender (trans) people report a history of suicide attempts. We aimed to identify intervenable factors (related to social inclusion, transphobia, or sex/gender transition) associated with reduced risk of past-year suicide ideation or attempt, and to quantify the potential population health impact. The Trans PULSE respondent-driven sampling (RDS) survey collected data from trans people age 16+ in Ontario, Canada, including 380 who reported on suicide outcomes. Descriptive statistics and multivariable logistic regression models were weighted using RDS II methods. Counterfactual risk ratios and population attributable risks were estimated using model-standardized risks. Among trans Ontarians, 35.1 % (95 % CI: 27.6, 42.5) seriously considered, and 11.2 % (95 % CI: 6.0, 16.4) attempted, suicide in the past year. Social support, reduced transphobia, and having any personal identification documents changed to an appropriate sex designation were associated with large relative and absolute reductions in suicide risk, as was completing a medical transition through hormones and/or surgeries (when needed). Parental support for gender identity was associated with reduced ideation. Lower self-reported transphobia (10(th) versus 90(th) percentile) was associated with a 66 % reduction in ideation (RR = 0.34, 95 % CI: 0.17, 0.67), and an additional 76 % reduction in attempts among those with ideation (RR = 0.24; 95 % CI: 0.07, 0.82). This corresponds to potential prevention of 160 ideations per 1000 trans persons, and 200 attempts per 1,000 with ideation, based on a hypothetical reduction of transphobia from current levels to the 10(th) percentile. Large effect sizes were observed for this controlled analysis of intervenable factors, suggesting that interventions to increase social inclusion and access to medical transition, and to reduce transphobia, have the potential to contribute to substantial reductions in the extremely high prevalences of suicide ideation and attempts within trans populations. Such interventions at the population level may require policy change.

Advanced Risk Reduction Tool (ARRT) Special Case Study Report: Science and Engineering Technical Assessments (SETA) Program

NASA Technical Reports Server (NTRS)

Kirsch, Paul J.; Hayes, Jane; Zelinski, Lillian

2000-01-01

This special case study report presents the Science and Engineering Technical Assessments (SETA) team's findings for exploring the correlation between the underlying models of Advanced Risk Reduction Tool (ARRT) relative to how it identifies, estimates, and integrates Independent Verification & Validation (IV&V) activities. The special case study was conducted under the provisions of SETA Contract Task Order (CTO) 15 and the approved technical approach documented in the CTO-15 Modification #1 Task Project Plan.

Assessing the impact of a cattle risk-based trading scheme on the movement of bovine tuberculosis infected animals in England and Wales.

PubMed

Adkin, A; Brouwer, A; Downs, S H; Kelly, L

2016-01-01

The adoption of bovine tuberculosis (bTB) risk-based trading (RBT) schemes has the potential to reduce the risk of bTB spread. However, any scheme will have cost implications that need to be balanced against its likely success in reducing bTB. This paper describes the first stochastic quantitative model assessing the impact of the implementation of a cattle risk-based trading scheme to inform policy makers and contribute to cost-benefit analyses. A risk assessment for England and Wales was developed to estimate the number of infected cattle traded using historic movement data recorded between July 2010 and June 2011. Three scenarios were implemented: cattle traded with no RBT scheme in place, voluntary provision of the score and a compulsory, statutory scheme applying a bTB risk score to each farm. For each scenario, changes in trade were estimated due to provision of the risk score to potential purchasers. An estimated mean of 3981 bTB infected animals were sold to purchasers with no RBT scheme in place in one year, with 90% confidence the true value was between 2775 and 5288. This result is dependent on the estimated between herd prevalence used in the risk assessment which is uncertain. With the voluntary provision of the risk score by farmers, on average, 17% of movements was affected (purchaser did not wish to buy once the risk score was available), with a reduction of 23% in infected animals being purchased initially. The compulsory provision of the risk score in a statutory scheme resulted in an estimated mean change to 26% of movements, with a reduction of 37% in infected animals being purchased initially, increasing to a 53% reduction in infected movements from higher risk sellers (score 4 and 5). The estimated mean reduction in infected animals being purchased could be improved to 45% given a 10% reduction in risky purchase behaviour by farmers which may be achieved through education programmes, or to an estimated mean of 49% if a rule was implemented preventing farmers from the purchase of animals of higher risk than their own herd. Given voluntary trials currently taking place of a trading scheme, recommendations for future work include the monitoring of initial uptake and changes in the purchase patterns of farmers. Such data could be used to update the risk assessment to reduce uncertainty associated with model estimates. Crown Copyright © 2015. Published by Elsevier B.V. All rights reserved.

Simulating fuel reduction scenarios on a wildland-urban interface in northeastern Oregon.

Treesearch

Alan A. Ager; R. James Barbour; Jane L. Hayes

2005-01-01

We analyzed the long-term effects of fuels reduction treatments around a wildland-urban interface located in the Blue Mountains near La Grande, Oregon. The study area is targeted for fuels reduction treatments on both private and federal lands to reduce the risk of severe wildfire and associated damage to property and homes. We modeled a number of hypothetical fuel...

The role of floodplain restoration in mitigating flood risk, Lower Missouri River, USA

USGS Publications Warehouse

Jacobson, Robert B.; Lindner, Garth; Bitner, Chance; Hudson, Paul F.; Middelkoop, Hans

2015-01-01

Recent extreme floods on the Lower Missouri River have reinvigorated public policy debate about the potential role of floodplain restoration in decreasing costs of floods and possibly increasing other ecosystem service benefits. The first step to addressing the benefits of floodplain restoration is to understand the interactions of flow, floodplain morphology, and land cover that together determine the biophysical capacity of the floodplain. In this article we address interactions between ecological restoration of floodplains and flood-risk reduction at 3 scales. At the scale of the Lower Missouri River corridor (1300 km) floodplain elevation datasets and flow models provide first-order calculations of the potential for Missouri River floodplains to store floods of varying magnitude and duration. At this same scale assessment of floodplain sand deposition from the 2011 Missouri River flood indicates the magnitude of flood damage that could potentially be limited by floodplain restoration. At the segment scale (85 km), 1-dimensional hydraulic modeling predicts substantial stage reductions with increasing area of floodplain restoration; mean stage reductions range from 0.12 to 0.66 m. This analysis also indicates that channel widening may contribute substantially to stage reductions as part of a comprehensive strategy to restore floodplain and channel habitats. Unsteady 1-dimensional flow modeling of restoration scenarios at this scale indicates that attenuation of peak discharges of an observed hydrograph from May 2007, of similar magnitude to a 10 % annual exceedance probability flood, would be minimal, ranging from 0.04 % (with 16 % floodplain restoration) to 0.13 % (with 100 % restoration). At the reach scale (15–20 km) 2-dimensional hydraulic models of alternative levee setbacks and floodplain roughness indicate complex processes and patterns of flooding including substantial variation in stage reductions across floodplains depending on topographic complexity and hydraulic roughness. Detailed flow patterns captured in the 2-dimensional model indicate that most floodplain storage occurs on the rising limb of the flood as water flows into floodplain bottoms from downstream; at a later time during the rising limb this pattern is reversed and the entire bottom conveys discharge down the valley. These results indicate that flood-risk reduction by attenuation is likely to be small on a large river like the Missouri and design strategies to optimize attenuation and ecological restoration should focus on frequent floods (20–50 % annual exceedance probability). Local stage reductions are a more certain benefit of floodplain restoration but local effects are highly dependent on magnitude of flood discharge and how floodplain vegetation communities contribute to hydraulic roughness. The most certain flood risk reduction benefit of floodplain restoration is avoidance of flood damages to crops and infrastructure.

Estimating Longitudinal Risks and Benefits From Cardiovascular Preventive Therapies Among Medicare Patients: The Million Hearts Longitudinal ASCVD Risk Assessment Tool: A Special Report From the American Heart Association and American College of Cardiology.

PubMed

Lloyd-Jones, Donald M; Huffman, Mark D; Karmali, Kunal N; Sanghavi, Darshak M; Wright, Janet S; Pelser, Colleen; Gulati, Martha; Masoudi, Frederick A; Goff, David C

2017-03-28

The Million Hearts Initiative has a goal of preventing 1 million heart attacks and strokes-the leading causes of mortality-through several public health and healthcare strategies by 2017. The American Heart Association and American College of Cardiology support the program. The Cardiovascular Risk Reduction Model was developed by Million Hearts and the Center for Medicare & Medicaid Services as a strategy to assess a value-based payment approach toward reduction in 10-year predicted risk of atherosclerotic cardiovascular disease (ASCVD) by implementing cardiovascular preventive strategies to manage the "ABCS" (aspirin therapy in appropriate patients, blood pressure control, cholesterol management, and smoking cessation). The purpose of this special report is to describe the development and intended use of the Million Hearts Longitudinal ASCVD Risk Assessment Tool. The Million Hearts Tool reinforces and builds on the "2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk" by allowing clinicians to estimate baseline and updated 10-year ASCVD risk estimates for primary prevention patients adhering to the appropriate ABCS over time, alone or in combination. The tool provides updated risk estimates based on evidence from high-quality systematic reviews and meta-analyses of the ABCS therapies. This novel approach to personalized estimation of benefits from risk-reducing therapies in primary prevention may help target therapies to those in whom they will provide the greatest benefit, and serves as the basis for a Center for Medicare & Medicaid Services program designed to evaluate the Million Hearts Cardiovascular Risk Reduction Model. Copyright © 2017 American Heart Association, Inc., and the American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Land-Use Portfolio Modeler, Version 1.0

USGS Publications Warehouse

Taketa, Richard; Hong, Makiko

2010-01-01

Natural hazards pose significant threats to the public safety and economic health of many communities throughout the world. Community leaders and decision-makers continually face the challenges of planning and allocating limited resources to invest in protecting their communities against catastrophic losses from natural-hazard events. Public efforts to assess community vulnerability and encourage loss-reduction measures through mitigation often focused on either aggregating site-specific estimates or adopting standards based upon broad assumptions about regional risks. The site-specific method usually provided the most accurate estimates, but was prohibitively expensive, whereas regional risk assessments were often too general to be of practical use. Policy makers lacked a systematic and quantitative method for conducting a regional-scale risk assessment of natural hazards. In response, Bernknopf and others developed the portfolio model, an intermediate-scale approach to assessing natural-hazard risks and mitigation policy alternatives. The basis for the portfolio-model approach was inspired by financial portfolio theory, which prescribes a method of optimizing return on investment while reducing risk by diversifying investments in different security types. In this context, a security type represents a unique combination of features and hazard-risk level, while financial return is defined as the reduction in losses resulting from an investment in mitigation of chosen securities. Features are selected for mitigation and are modeled like investment portfolios. Earth-science and economic data for the features are combined and processed in order to analyze each of the portfolios, which are then used to evaluate the benefits of mitigating the risk in selected locations. Ultimately, the decision maker seeks to choose a portfolio representing a mitigation policy that maximizes the expected return-on-investment, while minimizing the uncertainty associated with that return-on-investment. The portfolio model, now known as the Land-Use Portfolio Model (LUPM), provided the framework for the development of the Land-Use Portfolio Modeler, Version 1.0 software (LUPM v1.0). The software provides a geographic information system (GIS)-based modeling tool for evaluating alternative risk-reduction mitigation strategies for specific natural-hazard events. The modeler uses information about a specific natural-hazard event and the features exposed to that event within the targeted study region to derive a measure of a given mitigation strategy`s effectiveness. Harnessing the spatial capabilities of a GIS enables the tool to provide a rich, interactive mapping environment in which users can create, analyze, visualize, and compare different

Quantitative Microbial Risk Assessment for Escherichia coli O157:H7 in Fresh-Cut Lettuce.

PubMed

Pang, Hao; Lambertini, Elisabetta; Buchanan, Robert L; Schaffner, Donald W; Pradhan, Abani K

2017-02-01

Leafy green vegetables, including lettuce, are recognized as potential vehicles for foodborne pathogens such as Escherichia coli O157:H7. Fresh-cut lettuce is potentially at high risk of causing foodborne illnesses, as it is generally consumed without cooking. Quantitative microbial risk assessments (QMRAs) are gaining more attention as an effective tool to assess and control potential risks associated with foodborne pathogens. This study developed a QMRA model for E. coli O157:H7 in fresh-cut lettuce and evaluated the effects of different potential intervention strategies on the reduction of public health risks. The fresh-cut lettuce production and supply chain was modeled from field production, with both irrigation water and soil as initial contamination sources, to consumption at home. The baseline model (with no interventions) predicted a mean probability of 1 illness per 10 million servings and a mean of 2,160 illness cases per year in the United States. All intervention strategies evaluated (chlorine, ultrasound and organic acid, irradiation, bacteriophage, and consumer washing) significantly reduced the estimated mean number of illness cases when compared with the baseline model prediction (from 11.4- to 17.9-fold reduction). Sensitivity analyses indicated that retail and home storage temperature were the most important factors affecting the predicted number of illness cases. The developed QMRA model provided a framework for estimating risk associated with consumption of E. coli O157:H7-contaminated fresh-cut lettuce and can guide the evaluation and development of intervention strategies aimed at reducing such risk.

A 12-week multidomain intervention versus active control to reduce risk of Alzheimer’s disease: study protocol for a randomized controlled trial

PubMed Central

2013-01-01

Background Disappointing results from clinical trials of disease-modifying interventions for Alzheimer’s dementia (AD), along with reliable identification of modifiable risk factors in mid life from epidemiological studies, have contributed to calls to invest in risk-reduction interventions. It is also well known that AD-related pathological processes begin more than a decade before the development of clinical signs. These observations suggest that lifestyle interventions might be most effective when targeting non-symptomatic adults at risk of AD. To date, however, the few dementia risk-reduction programs available have targeted individual risk factors and/or were restricted to clinical settings. The current study describes the development of an evidence-based, theoretically-driven multidomain intervention to reduce AD risk in adults at risk. Method The design of Body Brain Life (BBL) is a randomized controlled trial (RCT) to evaluate a 12-week online AD risk-reduction intervention. Eligible participants with several modifiable risk factors on the Australian National University (ANU) AD Risk Index (ANU-ADRI) are randomly allocated to an online only group, an online and face-to-face group, or an active control group. We aim to recruit 180 participants, to undergo a comprehensive cognitive and physical assessment at baseline, post-intervention, and 6-month follow-up assessment. The intervention comprises seven online modules (dementia literacy, risk factor education, engagement in physical, social, and cognitive lifestyles, nutrition, and health monitoring) designed using contemporary models of health behavior change. Discussion The BBL program is a novel online intervention to reduce the risk of AD in middle-aged adults at risk. The trial is currently under way. It is hypothesized that participants in the intervention arms will make lifestyle changes in several domains, and that this will lead to a reduction in their AD risk profile. We also expect to show that health behavior change is underpinned by changes in psychological determinants of behavior. If successful, the findings will contribute to the development of further dementia risk reduction interventions, and thus contribute to the urgent need to lower dementia risk factors in the population to alter future projections of disease prevalence. Longer follow-up of BBL participants and replications using large samples are required to examine whether reduction in AD risk factors will be associated with reduced prevalence. Trial registration Reg. no. ACTRN12612000147886 PMID:23442574

ExMC Work Prioritization Process

NASA Technical Reports Server (NTRS)

Simon, Matthew

2015-01-01

Last year, NASA's Human Research Program (HRP) introduced the concept of a "Path to Risk Reduction" (PRR), which will provide a roadmap that shows how the work being done within each HRP element can be mapped to reducing or closing exploration risks. Efforts are currently underway within the Exploration Medical Capability (ExMC) Element to develop a structured, repeatable process for prioritizing work utilizing decision analysis techniques and risk estimation tools. The goal of this effort is to ensure that the work done within the element maximizes risk reduction for future exploration missions in a quantifiable way and better aligns with the intent and content of the Path to Risk Reduction. The Integrated Medical Model (IMM) will be used to identify those conditions that are major contributors of medical risk for a given design reference mission. For each of these conditions, potential prevention, screening, diagnosis, and treatment methods will be identified. ExMC will then aim to prioritize its potential investments in these mitigation methods based upon their potential for risk reduction and other factors such as vehicle performance impacts, near term schedule needs, duplication with external efforts, and cost. This presentation will describe the process developed to perform this prioritization and inform investment discussions in future element planning efforts. It will also provide an overview of the required input information, types of process participants, figures of merit, and the expected outputs of the process.

Influence of safety measures on the risks of transporting dangerous goods through road tunnels.

PubMed

Saccomanno, Frank; Haastrup, Palle

2002-12-01

Quantitative risk assessment (QRA) models are used to estimate the risks of transporting dangerous goods and to assess the merits of introducing alternative risk reduction measures for different transportation scenarios and assumptions. A comprehensive QRA model recently was developed in Europe for application to road tunnels. This model can assess the merits of a limited number of "native safety measures." In this article, we introduce a procedure for extending its scope to include the treatment of a number of important "nonnative safety measures" of interest to tunnel operators and decisionmakers. Nonnative safety measures were not included in the original model specification. The suggested procedure makes use of expert judgment and Monte Carlo simulation methods to model uncertainty in the revised risk estimates. The results of a case study application are presented that involve the risks of transporting a given volume of flammable liquid through a 10-km road tunnel.

Physical activity and incident type 2 diabetes mellitus: a systematic review and dose-response meta-analysis of prospective cohort studies.

PubMed

Smith, Andrea D; Crippa, Alessio; Woodcock, James; Brage, Søren

2016-12-01

Inverse associations between physical activity (PA) and type 2 diabetes mellitus are well known. However, the shape of the dose-response relationship is still uncertain. This review synthesises results from longitudinal studies in general populations and uses non-linear models of the association between PA and incident type 2 diabetes. A systematic literature search identified 28 prospective studies on leisure-time PA (LTPA) or total PA and risk of type 2 diabetes. PA exposures were converted into metabolic equivalent of task (MET) h/week and marginal MET (MMET) h/week, a measure only considering energy expended above resting metabolic rate. Restricted cubic splines were used to model the exposure-disease relationship. Our results suggest an overall non-linear relationship; using the cubic spline model we found a risk reduction of 26% (95% CI 20%, 31%) for type 2 diabetes among those who achieved 11.25 MET h/week (equivalent to 150 min/week of moderate activity) relative to inactive individuals. Achieving twice this amount of PA was associated with a risk reduction of 36% (95% CI 27%, 46%), with further reductions at higher doses (60 MET h/week, risk reduction of 53%). Results for the MMET h/week dose-response curve were similar for moderate intensity PA, but benefits were greater for higher intensity PA and smaller for lower intensity activity. Higher levels of LTPA were associated with substantially lower incidence of type 2 diabetes in the general population. The relationship between LTPA and type 2 diabetes was curvilinear; the greatest relative benefits are achieved at low levels of activity, but additional benefits can be realised at exposures considerably higher than those prescribed by public health recommendations.

Microbial risk assessment of drinking water based on hydrodynamic modelling of pathogen concentrations in source water.

PubMed

Sokolova, Ekaterina; Petterson, Susan R; Dienus, Olaf; Nyström, Fredrik; Lindgren, Per-Eric; Pettersson, Thomas J R

2015-09-01

Norovirus contamination of drinking water sources is an important cause of waterborne disease outbreaks. Knowledge on pathogen concentrations in source water is needed to assess the ability of a drinking water treatment plant (DWTP) to provide safe drinking water. However, pathogen enumeration in source water samples is often not sufficient to describe the source water quality. In this study, the norovirus concentrations were characterised at the contamination source, i.e. in sewage discharges. Then, the transport of norovirus within the water source (the river Göta älv in Sweden) under different loading conditions was simulated using a hydrodynamic model. Based on the estimated concentrations in source water, the required reduction of norovirus at the DWTP was calculated using quantitative microbial risk assessment (QMRA). The required reduction was compared with the estimated treatment performance at the DWTP. The average estimated concentration in source water varied between 4.8×10(2) and 7.5×10(3) genome equivalents L(-1); and the average required reduction by treatment was between 7.6 and 8.8 Log10. The treatment performance at the DWTP was estimated to be adequate to deal with all tested loading conditions, but was heavily dependent on chlorine disinfection, with the risk of poor reduction by conventional treatment and slow sand filtration. To our knowledge, this is the first article to employ discharge-based QMRA, combined with hydrodynamic modelling, in the context of drinking water. Copyright © 2015 Elsevier B.V. All rights reserved.

Does Alcohol Use among Sexually Active College Students Moderate HIV Risk Behavior?

ERIC Educational Resources Information Center

Lewis, John E.; Malow, Robert M.; Norman, Lisa

2008-01-01

College students frequently use alcohol and are very sexually active, but do the two behaviors result in greater HIV risk? We employed the AIDS Risk Reduction Model to assess condom use during vaginal intercourse for sexually active college students using and not using alcohol proximal to sex. Students reported multiple lifetime sex partners and…

Breast and Ovarian Cancer Risk and Risk Reduction in Jewish BRCA1/2 Mutation Carriers

PubMed Central

Finkelman, Brian S.; Rubinstein, Wendy S.; Friedman, Sue; Friebel, Tara M.; Dubitsky, Shera; Schonberger, Niecee Singer; Shoretz, Rochelle; Singer, Christian F.; Blum, Joanne L.; Tung, Nadine; Olopade, Olufunmilayo I.; Weitzel, Jeffrey N.; Lynch, Henry T.; Snyder, Carrie; Garber, Judy E.; Schildkraut, Joellen; Daly, Mary B.; Isaacs, Claudine; Pichert, Gabrielle; Neuhausen, Susan L.; Couch, Fergus J.; van't Veer, Laura; Eeles, Rosalind; Bancroft, Elizabeth; Evans, D. Gareth; Ganz, Patricia A.; Tomlinson, Gail E.; Narod, Steven A.; Matloff, Ellen; Domchek, Susan; Rebbeck, Timothy R.

2012-01-01

Purpose Mutations in BRCA1/2 dramatically increase the risk of both breast and ovarian cancers. Three mutations in these genes (185delAG, 5382insC, and 6174delT) occur at high frequency in Ashkenazi Jews. We evaluated how these common Jewish mutations (CJMs) affect cancer risks and risk reduction. Methods Our cohort comprised 4,649 women with disease-associated BRCA1/2 mutations from 22 centers in the Prevention and Observation of Surgical End Points Consortium. Of these women, 969 were self-identified Jewish women. Cox proportional hazards models were used to estimate breast and ovarian cancer risks, as well as risk reduction from risk-reducing salpingo-oophorectomy (RRSO), by CJM and self-identified Jewish status. Results Ninety-one percent of Jewish BRCA1/2-positive women carried a CJM. Jewish women were significantly more likely to undergo RRSO than non-Jewish women (54% v 41%, respectively; odds ratio, 1.87; 95% CI, 1.44 to 2.42). Relative risks of cancer varied by CJM, with the relative risk of breast cancer being significantly lower in 6174delT mutation carriers than in non-CJM BRCA2 carriers (hazard ratio, 0.35; 95% CI, 0.18 to 0.69). No significant difference was seen in cancer risk reduction after RRSO among subgroups. Conclusion Consistent with previous results, risks for breast and ovarian cancer varied by CJM in BRCA1/2 carriers. In particular, 6174delT carriers had a lower risk of breast cancer. This finding requires additional confirmation in larger prospective and population-based cohort studies before being integrated into clinical care. PMID:22430266

Skills training versus health education to prevent STDs/HIV in heterosexual women: a randomized controlled trial utilizing biological outcomes.

PubMed

Baker, Sharon A; Beadnell, Blair; Stoner, Susan; Morrison, Diane M; Gordon, Judith; Collier, Cheza; Knox, Kay; Wickizer, Lauren; Stielstra, Sorrel

2003-02-01

We compared the effectiveness of two different 16-session group interventions for reducing new STD infection among heterosexual women. Two hundred twenty-nine at-risk heterosexual women were randomly assigned to skills training (ST) based on the relapse prevention model or health education (HE). Participants were monitored during the year following intervention for STD acquisition, self-reports of sexual behavior, and risk reduction skills. Participants in the ST intervention were significantly less likely to be diagnosed with a STD in the year following intervention and demonstrated superior risk reduction skills at 12-month follow-up. Both conditions showed statistically significant reductions in self reports of risky sexual behavior following intervention and at 12-month follow-up. In this sample, the ST intervention was superior to HE for reducing STD acquisition.

Determinants of National Fire Plan Fuels Treatment Expenditures: A Revealed Preference Analysis for Northern New Mexico

NASA Astrophysics Data System (ADS)

Shepherd, Curt; Grimsrud, Kristine; Berrens, Robert P.

2009-10-01

The accumulation of fire fuels in forests throughout the world contributes significantly to the severity of wildfires. To combat the threat of wildfire, especially in the wildland-urban interface (WUI), US federal land management agencies have implemented a number of forest restoration and wildfire risk reduction programs. In the spirit of revealed preference analyses, the objective of this study is to investigate the pattern and determinants of National Fire Plan (NFP) expenditures for fuel reduction treatments in northern New Mexico (USA). Estimation results from a set of Generalized Estimating Equations models are mixed with respect to risk reduction hypotheses, and also raise issues regarding how risk reduction should be defined for a region characterized by both pockets of urban sprawl into the WUI and large areas of chronic rural poverty. Program preferences for project funding under the federal Collaborative Forest Restoration Program in New Mexico are shown to be distinctly different (e.g., exhibiting greater concern for social equity) than for other NFP-funded projects.

Modelling incremental benefits on complications rates when targeting lower HbA1c levels in people with Type 2 diabetes and cardiovascular disease.

PubMed

Mostafa, S A; Coleman, R L; Agbaje, O F; Gray, A M; Holman, R R; Bethel, M A

2018-01-01

Glucose-lowering interventions in Type 2 diabetes mellitus have demonstrated reductions in microvascular complications and modest reductions in macrovascular complications. However, the degree to which targeting different HbA 1c reductions might reduce risk is unclear. Participant-level data for Trial Evaluating Cardiovascular Outcomes with Sitagliptin (TECOS) participants with established cardiovascular disease were used in a Type 2 diabetes-specific simulation model to quantify the likely impact of different HbA 1c decrements on complication rates. Ten-year micro- and macrovascular rates were estimated with HbA 1c levels fixed at 86, 75, 64, 53 and 42 mmol/mol (10%, 9%, 8%, 7% and 6%) while holding other risk factors constant at their baseline levels. Cumulative relative risk reductions for each outcome were derived for each HbA 1c decrement. Of 5717 participants studied, 72.0% were men and 74.2% White European, with a mean (sd) age of 66.2 (7.9) years, systolic blood pressure 134 (16.9) mmHg, LDL-cholesterol 2.3 (0.9) mmol/l, HDL-cholesterol 1.13 (0.3) mmol/l and median Type 2 diabetes duration 9.6 (5.1-15.6) years. Ten-year cumulative relative risk reductions for modelled HbA 1c values of 75, 64, 53 and 42 mmol/mol, relative to 86 mmol/mol, were 4.6%, 9.3%, 15.1% and 20.2% for myocardial infarction; 6.0%, 12.8%, 19.6% and 25.8% for stroke; 14.4%, 26.6%, 37.1% and 46.4% for diabetes-related ulcer; 21.5%, 39.0%, 52.3% and 63.1% for amputation; and 13.6%, 25.4%, 36.0% and 44.7 for single-eye blindness. These simulated complication rates might help inform the degree to which complications might be reduced by targeting particular HbA 1c reductions in Type 2 diabetes. © 2017 Diabetes UK.

Association between age-related reductions in testosterone and risk of prostate cancer-An analysis of patients' data with prostatic diseases.

PubMed

Wang, Kai; Chen, Xinguang; Bird, Victoria Y; Gerke, Travis A; Manini, Todd M; Prosperi, Mattia

2017-11-01

The relationship between serum total testosterone and prostate cancer (PCa) risk is controversial. The hypothesis that faster age-related reduction in testosterone is linked with increased PCa risk remains untested. We conducted our study at a tertiary-level hospital in southeast of the USA, and derived data from the Medical Registry Database of individuals that were diagnosed of any prostate-related disease from 2001 to 2015. Cases were those diagnosed of PCa and had one or more measurements of testosterone prior to PCa diagnosis. Controls were those without PCa and had one or more testosterone measurements. Multivariable logistic regression models for PCa risk of absolute levels (one-time measure and 5-year average) and annual change in testosterone were respectively constructed. Among a total of 1,559 patients, 217 were PCa cases, and neither one-time measure nor 5-year average of testosterone was found to be significantly associated with PCa risk. Among the 379 patients with two or more testosterone measurements, 27 were PCa cases. For every 10 ng/dL increment in annual reduction of testosterone, the risk of PCa would increase by 14% [adjusted odds ratio, 1.14; 95% confidence interval (CI), 1.03-1.25]. Compared to patients with a relatively stable testosterone, patients with an annual testosterone reduction of more than 30 ng/dL had 5.03 [95% CI: 1.53, 16.55] fold increase in PCa risk. This implies a faster age-related reduction in, but not absolute level of serum total testosterone as a risk factor for PCa. Further longitudinal studies are needed to confirm this finding. © 2017 UICC.

Developing interpretable models with optimized set reduction for identifying high risk software components

NASA Technical Reports Server (NTRS)

Briand, Lionel C.; Basili, Victor R.; Hetmanski, Christopher J.

1993-01-01

Applying equal testing and verification effort to all parts of a software system is not very efficient, especially when resources are limited and scheduling is tight. Therefore, one needs to be able to differentiate low/high fault frequency components so that testing/verification effort can be concentrated where needed. Such a strategy is expected to detect more faults and thus improve the resulting reliability of the overall system. This paper presents the Optimized Set Reduction approach for constructing such models, intended to fulfill specific software engineering needs. Our approach to classification is to measure the software system and build multivariate stochastic models for predicting high risk system components. We present experimental results obtained by classifying Ada components into two classes: is or is not likely to generate faults during system and acceptance test. Also, we evaluate the accuracy of the model and the insights it provides into the error making process.

Discrete event simulation model of sudden cardiac death predicts high impact of preventive interventions.

PubMed

Andreev, Victor P; Head, Trajen; Johnson, Neil; Deo, Sapna K; Daunert, Sylvia; Goldschmidt-Clermont, Pascal J

2013-01-01

Sudden Cardiac Death (SCD) is responsible for at least 180,000 deaths a year and incurs an average cost of $286 billion annually in the United States alone. Herein, we present a novel discrete event simulation model of SCD, which quantifies the chains of events associated with the formation, growth, and rupture of atheroma plaques, and the subsequent formation of clots, thrombosis and on-set of arrhythmias within a population. The predictions generated by the model are in good agreement both with results obtained from pathological examinations on the frequencies of three major types of atheroma, and with epidemiological data on the prevalence and risk of SCD. These model predictions allow for identification of interventions and importantly for the optimal time of intervention leading to high potential impact on SCD risk reduction (up to 8-fold reduction in the number of SCDs in the population) as well as the increase in life expectancy.

Community-based harm reduction substance abuse treatment with methamphetamine-using men who have sex with men.

PubMed

Carrico, Adam W; Flentje, Annesa; Gruber, Valerie A; Woods, William J; Discepola, Michael V; Dilworth, Samantha E; Neilands, Torsten B; Jain, Jennifer; Siever, Michael D

2014-06-01

Harm reduction approaches endeavor to assist individuals with avoiding the most detrimental consequences of risk taking behaviors, but limited research has documented the outcomes of harm reduction substance abuse treatment. In total, 211 methamphetamine-using men who have sex with men (MSM) enrolled in two outcome studies of substance abuse treatment programs that were implementing an evidence-based, cognitive-behavioral intervention (i.e., the Matrix Model) from a harm reduction perspective. Study 1 (N = 123) examined changes in self-reported substance use, Addiction Severity Index (ASI) composite scores, and HIV care indicators over a 12-month follow-up. Study 2 (N = 88) assessed changes in substance use, sexual risk taking, and HIV care indicators over a 6-month follow-up. Participants in study 1 reported reductions in cocaine/crack use as well as decreases in the ASI drug and employment composite scores. Among HIV-positive participants in study 1 (n = 75), 47 % initiated or consistently utilized anti-retroviral therapy and this was paralleled by significant increases in self-reported undetectable HIV viral load. Study 2 participants reported reductions in methamphetamine use, erectile dysfunction medication use in combination with other substances, and sexual risk-taking behavior while using methamphetamine. Participants in both studies reported concurrent increases in marijuana use. Taken together, these studies are among the first to observe that clients may reduce stimulant use and concomitant sexual risk-taking behavior during harm reduction substance abuse treatment. Randomized controlled trials are needed to examine the differential effectiveness of harm reduction and abstinence-based approaches to substance abuse treatment.

Investigating obesity risk-reduction behaviours and psychosocial factors in Chinese Americans.

PubMed

Liou, Doreen; Bauer, Kathleen; Bai, Yeon

2014-11-01

The purpose of this research was to examine the attitudes, beliefs and behaviours related to obesity risk reduction in Chinese Americans. A questionnaire was administered to a convenience sample of 300 US-born and foreign-born Chinese Americans residing in the New York metropolitan area, ranging from 18 to 40 years of age. Obesity risk reduction behaviours and psychosocial variables derived from the Theory of Planned Behaviour and Health Belief Model were measured. Acculturation was assessed using a modified Suinn-Lew Asian Self-Identity Acculturation Scale. Frequency distributions were delineated and stepwise regression analyses were analysed for different acculturation groups. 65% of the respondents were female and the mean age of the sample was 26 years. Respondents indicated the most commonly practised behaviour to be eating home-cooked meals instead of restaurant-prepared foods. Perceived barriers to adopting obesity risk-reduction behaviours included convenience of consuming fast foods, cost, lack of time to prepare home-cooked meals, and the physical environment of unhealthy foods. In predicting intention to perform obesity risk-reduction behaviours, attitude was significant for 'western-identified' individuals. In 'Asian-identified' individuals, perceived behavioural control, self-efficacy and perceived benefits were salient. Nutrition educators working with Chinese Americans need to address self-efficacy in preparing plant-based, home-cooked meals and making healthy choices at fast-food restaurants with portion control. Concrete and perceived barriers such as lack of time and convenience need to be addressed in nutrition education interventions. Educators need to identify new channels and media outlets to disseminate practical, easy-to-implement behaviours for obesity risk reduction that are socially acceptable. © Royal Society for Public Health 2013.

School-based sex education is associated with reduced risky sexual behaviour and sexually transmitted infections in young adults.

PubMed

Vivancos, R; Abubakar, I; Phillips-Howard, P; Hunter, P R

2013-01-01

To quantify the effectiveness of school-based sexual education on risky sexual behaviour and sexually transmitted infection (STI) acquisition in adulthood. Online survey of sexual attitudes and behaviours. Students at a British university were surveyed regarding where they learnt most about sex at 14 years of age, how easy they found talking about sexual issues with their parents and age at first intercourse. The effects of these factors were modelled on risk of recent unprotected intercourse and self-reported STIs in adulthood. Seventy-eight of 711 (11%) students reported unprotected intercourse in the 4 weeks before the survey, and 44 (6.2%) students had ever been diagnosed with an STI. Both age at first intercourse (risk reduced by 11% per year of delayed intercourse, 95% confidence interval (CI) 3-19%) and learning about sex from lessons at school (66% reduction in risk compared with learning from one's mother, 95% CI 5-88%) were associated with reductions in risk of unprotected intercourse. Factors associated with fewer STIs were age at first intercourse (17% reduction per year of delayed intercourse, 95% CI 5-28%); and learning about sex from lessons at school (85% reduction, 95% CI 32-97%), from friends of the same age (54% reduction, CI 7-77%) and from first boy/girlfriend (85% reduction, 95% CI 35-97%) compared with learning from one's mother. School-based sexual education is effective at reducing the risk of unprotected intercourse and STIs in early adulthood. Influence from friends in adolescence may also have a positive effect on the risk of STIs in later life. Crown Copyright © 2012. Published by Elsevier Ltd. All rights reserved.

Superior Efficacy of a Human Immunodeficiency Virus Vaccine Combined with Antiretroviral Prevention in Simian-Human Immunodeficiency Virus-Challenged Nonhuman Primates.

PubMed

Le Grand, Roger; Dereuddre-Bosquet, Nathalie; Dispinseri, Stefania; Gosse, Leslie; Desjardins, Delphine; Shen, Xiaoying; Tolazzi, Monica; Ochsenbauer, Christina; Saidi, Hela; Tomaras, Georgia; Prague, Mélanie; Barnett, Susan W; Thiebaut, Rodolphe; Cope, Alethea; Scarlatti, Gabriella; Shattock, Robin J

2016-06-01

Although vaccines and antiretroviral (ARV) prevention have demonstrated partial success against human immunodeficiency virus (HIV) infection in clinical trials, their combined introduction could provide more potent protection. Furthermore, combination approaches could ameliorate the potential increased risk of infection following vaccination in the absence of protective immunity. We used a nonhuman primate model to determine potential interactions of combining a partially effective ARV microbicide with an envelope-based vaccine. The vaccine alone provided no protection from infection following 12 consecutive low-dose intravaginal challenges with simian-HIV strain SF162P3, with more animals infected compared to naive controls. The microbicide alone provided a 68% reduction in the risk of infection relative to that of the vaccine group and a 45% reduction relative to that of naive controls. The vaccine-microbicide combination provided an 88% reduction in the per-exposure risk of infection relative to the vaccine alone and a 79% reduction relative to that of the controls. Protected animals in the vaccine-microbicide group were challenged a further 12 times in the absence of microbicide and demonstrated a 98% reduction in the risk of infection. A total risk reduction of 91% was observed in this group over 24 exposures (P = 0.004). These important findings suggest that combined implementation of new biomedical prevention strategies may provide significant gains in HIV prevention. There is a pressing need to maximize the impact of new biomedical prevention tools in the face of the 2 million HIV infections that occur each year. Combined implementation of complementary biomedical approaches could create additive or synergistic effects that drive improved reduction of HIV incidence. Therefore, we assessed a combination of an untested vaccine with an ARV-based microbicide in a nonhuman primate vaginal challenge model. The vaccine alone provided no protection (and may have increased susceptibility to a simian-HIV vaginal challenge), while the microbicide reduced the infection risk compared to that of vaccinated and naive animals. Importantly, the combined interventions provided the greatest level of protection, which was sustained following withdrawal of the microbicide. The data suggest that provision of ARV prophylaxis during vaccination reduces the potential for unexpected increased risks of infection following immunization and augments vaccine efficacy. These findings are important for the potential adoption of ARV prophylaxis as the baseline intervention for future HIV/AIDS vaccines. Copyright © 2016 Le Grand et al.

Superior Efficacy of a Human Immunodeficiency Virus Vaccine Combined with Antiretroviral Prevention in Simian-Human Immunodeficiency Virus-Challenged Nonhuman Primates

PubMed Central

Le Grand, Roger; Dereuddre-Bosquet, Nathalie; Dispinseri, Stefania; Gosse, Leslie; Desjardins, Delphine; Shen, Xiaoying; Tolazzi, Monica; Ochsenbauer, Christina; Saidi, Hela; Tomaras, Georgia; Prague, Mélanie; Barnett, Susan W.; Thiebaut, Rodolphe; Scarlatti, Gabriella

2016-01-01

ABSTRACT Although vaccines and antiretroviral (ARV) prevention have demonstrated partial success against human immunodeficiency virus (HIV) infection in clinical trials, their combined introduction could provide more potent protection. Furthermore, combination approaches could ameliorate the potential increased risk of infection following vaccination in the absence of protective immunity. We used a nonhuman primate model to determine potential interactions of combining a partially effective ARV microbicide with an envelope-based vaccine. The vaccine alone provided no protection from infection following 12 consecutive low-dose intravaginal challenges with simian-HIV strain SF162P3, with more animals infected compared to naive controls. The microbicide alone provided a 68% reduction in the risk of infection relative to that of the vaccine group and a 45% reduction relative to that of naive controls. The vaccine-microbicide combination provided an 88% reduction in the per-exposure risk of infection relative to the vaccine alone and a 79% reduction relative to that of the controls. Protected animals in the vaccine-microbicide group were challenged a further 12 times in the absence of microbicide and demonstrated a 98% reduction in the risk of infection. A total risk reduction of 91% was observed in this group over 24 exposures (P = 0.004). These important findings suggest that combined implementation of new biomedical prevention strategies may provide significant gains in HIV prevention. IMPORTANCE There is a pressing need to maximize the impact of new biomedical prevention tools in the face of the 2 million HIV infections that occur each year. Combined implementation of complementary biomedical approaches could create additive or synergistic effects that drive improved reduction of HIV incidence. Therefore, we assessed a combination of an untested vaccine with an ARV-based microbicide in a nonhuman primate vaginal challenge model. The vaccine alone provided no protection (and may have increased susceptibility to a simian-HIV vaginal challenge), while the microbicide reduced the infection risk compared to that of vaccinated and naive animals. Importantly, the combined interventions provided the greatest level of protection, which was sustained following withdrawal of the microbicide. The data suggest that provision of ARV prophylaxis during vaccination reduces the potential for unexpected increased risks of infection following immunization and augments vaccine efficacy. These findings are important for the potential adoption of ARV prophylaxis as the baseline intervention for future HIV/AIDS vaccines. PMID:27009957

Robust Derivation of Risk Reduction Strategies

NASA Technical Reports Server (NTRS)

Richardson, Julian; Port, Daniel; Feather, Martin

2007-01-01

Effective risk reduction strategies can be derived mechanically given sufficient characterization of the risks present in the system and the effectiveness of available risk reduction techniques. In this paper, we address an important question: can we reliably expect mechanically derived risk reduction strategies to be better than fixed or hand-selected risk reduction strategies, given that the quantitative assessment of risks and risk reduction techniques upon which mechanical derivation is based is difficult and likely to be inaccurate? We consider this question relative to two methods for deriving effective risk reduction strategies: the strategic method defined by Kazman, Port et al [Port et al, 2005], and the Defect Detection and Prevention (DDP) tool [Feather & Cornford, 2003]. We performed a number of sensitivity experiments to evaluate how inaccurate knowledge of risk and risk reduction techniques affect the performance of the strategies computed by the Strategic Method compared to a variety of alternative strategies. The experimental results indicate that strategies computed by the Strategic Method were significantly more effective than the alternative risk reduction strategies, even when knowledge of risk and risk reduction techniques was very inaccurate. The robustness of the Strategic Method suggests that its use should be considered in a wide range of projects.

Dose addition models based on biologically-relevant reductions in fetal testosterone accurately predict postnatal reproductive tract alterations by a phthalate mixture in rats

EPA Science Inventory

Challenges in cumulative risk assessment of anti-androgenic phthalate mixtures include a lack of data on all the individual phthalates and difficulty determining the biological relevance of reduction in fetal testosterone (T) on postnatal development. The objectives of the curren...

Modeling the Population Health Impact of Introducing a Modified Risk Tobacco Product into the U.S. Market.

PubMed

Djurdjevic, Smilja; Lee, Peter N; Weitkunat, Rolf; Sponsiello-Wang, Zheng; Lüdicke, Frank; Baker, Gizelle

2018-05-16

Philip Morris International (PMI) has developed the Population Health Impact Model (PHIM) to quantify, in the absence of epidemiological data, the effects of marketing a candidate modified risk tobacco product (cMRTP) on the public health of a whole population. Various simulations were performed to understand the harm reduction impact on the U.S. population over a 20-year period under various scenarios. The overall reduction in smoking attributable deaths (SAD) over the 20-year period was estimated as 934,947 if smoking completely went away and between 516,944 and 780,433 if cMRTP use completely replaces smoking. The reduction in SADs was estimated as 172,458 for the World Health Organization (WHO) 2025 Target and between 70,274 and 90,155 for the gradual cMRTP uptake. Combining the scenarios (WHO 2025 Target and cMRTP uptake), the reductions were between 256,453 and 268,796, depending on the cMRTP relative exposure. These results show how a cMRTP can reduce overall population harm additionally to existing tobacco control efforts.

Using the benchmark dose (BMD) methodology to determine an appropriate reduction of certain ingredients in food products.

PubMed

Bi, Jian

2010-01-01

As the desire to promote health increases, reductions of certain ingredients, for example, sodium, sugar, and fat in food products, are widely requested. However, the reduction is not risk free in sensory and marketing aspects. Over reduction may change the taste and influence the flavor of a product and lead to a decrease in consumer's overall liking or purchase intent for the product. This article uses the benchmark dose (BMD) methodology to determine an appropriate reduction. Calculations of BMD and one-sided lower confidence limit of BMD are illustrated. The article also discusses how to calculate BMD and BMDL for over dispersed binary data in replicated testing based on a corrected beta-binomial model. USEPA Benchmark Dose Software (BMDS) were used and S-Plus programs were developed. The method discussed in the article is originally used to determine an appropriate reduction of certain ingredients, for example, sodium, sugar, and fat in food products, considering both health reason and sensory or marketing risk.

The use of retrievable inferior vena cava filters in pregnancy: Another successful case report, but are we actually making a difference?

PubMed

Du Plessis, Lodewyk E; Mol, Ben W; Svigos, John M

2016-09-01

Pregnant women with venous thromboembolism are traditionally managed with anticoagulation, but inferior vena cava filters are an alternative. We balanced risks and benefits of an inferior vena cava filter in a decision analysis. We constructed a decision model to compare in pregnant women with VTE the outcome of (1) inferior vena cava filter and anticoagulant treatment versus (2) anticoagulant treatment only. Assuming a 63% risk reduction from an inferior vena cava filter (baseline mortality rate of venous thromboembolism of 0.5%), 318 women would need to be treated with inferior vena cava filters to prevent one venous thromboembolism related maternal death. Sensitivity analyses indicated that at a mortality rate of 0.5% the risk reduction from inferior vena cava filters needed to be 80%, while at a mortality rate of 2% a risk reduction of 20% would justify inferior vena cava filters. In view of their potential morbidity, inferior vena cava filters should be restricted to pregnant woman at strongly increased risk of recurrent venous thromboembolism.

DebtRank-transparency: Controlling systemic risk in financial networks

PubMed Central

Thurner, Stefan; Poledna, Sebastian

2013-01-01

Nodes in a financial network, such as banks, cannot assess the true risks associated with lending to other nodes in the network, unless they have full information on the riskiness of all other nodes. These risks can be estimated by using network metrics (as DebtRank) of the interbank liability network. With a simple agent based model we show that systemic risk in financial networks can be drastically reduced by increasing transparency, i.e. making the DebtRank of individual banks visible to others, and by imposing a rule, that reduces interbank borrowing from systemically risky nodes. This scheme does not reduce the efficiency of the financial network, but fosters a more homogeneous risk-distribution within the system in a self-organized critical way. The reduction of systemic risk is due to a massive reduction of cascading failures in the transparent system. A regulation-policy implementation of the proposed scheme is discussed. PMID:23712454

Assessing the benefits of reducing fire risk in the wildland urban interface: A contingent valuation approach

Treesearch

Jeremy Fried; Greg J. Winter; Keith J. Gilless

1999-01-01

Wildland-urban interface (WUI) residents in Michigan were interviewed using a contingent valuation protocol to assess their-willingness-to-pay (WT) for incremental reductions in the risk of losing their homes to wildfire. WTP was elicited using a probability model which segments the risk of structure loss into "public" and "private" components.

Predicting OA progression to total hip replacement: can we do better than risk factors alone using active shape modelling as an imaging biomarker?

PubMed

Barr, Rebecca J; Gregory, Jennifer S; Reid, David M; Aspden, Richard M; Yoshida, Kanako; Hosie, Gillian; Silman, Alan J; Alesci, Salvatore; Macfarlane, Gary J

2012-03-01

Previously, active shape modelling (ASM) of the proximal femur was shown to identify those individuals at highest risk of developing radiographic OA. Here we determine whether ASM predicts the need for total hip replacement (THR) independent of Kellgren-Lawrence grade (KLG) and other known risk factors. A retrospective cohort study of 141 subjects consulting primary care with new hip pain was conducted. Pelvic radiographs taken on recruitment were assessed for KLG, centre-edge angle, acetabular depth and femoral head migration. Clinical factors (duration of pain, use of a stick and physical function) were collected by self-completed questionnaires. ASM differences between shape mode scores at baseline for individuals who underwent THR during the 5-year follow-up (n = 27) and those whose OA did not progress radiographically (n = 75) were compared. A 1 s.d. reduction in baseline ASM mode 2 score was associated with an 81% reduction in odds of THR (OR = 0.19, 95% CI 0.52, 0.70) after adjustment for KLG, radiographic and clinical factors. A similar reduction in odds of THR was associated with a 1 s.d. reduction in mode 3 (OR = 0.45, 95% CI 0.28, 0.71) and a 1 s.d. increase in mode 4 score (OR = 2.8, 95% CI 1.7, 4.7), although these associations were no longer significant after adjustment for KLG and clinical factors. ASM of the hip joint is a reliable early biomarker of radiographic OA severity, which can improve the ability to identify patients at higher risk of rapid progression and poor outcome even when KLG and clinical risk factors are taken into account.

Social Participation and Disaster Risk Reduction Behaviors in Tsunami Prone Areas.

PubMed

Witvorapong, Nopphol; Muttarak, Raya; Pothisiri, Wiraporn

2015-01-01

This paper examines the relationships between social participation and disaster risk reduction actions. A survey of 557 households in tsunami prone areas in Phang Nga, Thailand was conducted following the 2012 Indian Ocean earthquakes. We use a multivariate probit model to jointly estimate the likelihood of undertaking three responses to earthquake and tsunami hazards (namely, (1) following disaster-related news closely, (2) preparing emergency kits and/or having a family emergency plan, and (3) having an intention to migrate) and community participation. We find that those who experienced losses from the 2004 tsunami are more likely to participate in community activities and respond to earthquake hazards. Compared to men, women are more likely to prepare emergency kits and/or have an emergency plan and have a greater intention to migrate. Living in a community with a higher proportion of women with tertiary education increases the probability of engaging in community activities and carrying out disaster risk reduction measures. Individuals who participate in village-based activities are 5.2% more likely to undertake all three risk reduction actions compared to those not engaging in community activities. This implies that encouraging participation in community activities can have positive externalities in disaster mitigation.

Social Participation and Disaster Risk Reduction Behaviors in Tsunami Prone Areas

PubMed Central

Witvorapong, Nopphol; Muttarak, Raya; Pothisiri, Wiraporn

2015-01-01

This paper examines the relationships between social participation and disaster risk reduction actions. A survey of 557 households in tsunami prone areas in Phang Nga, Thailand was conducted following the 2012 Indian Ocean earthquakes. We use a multivariate probit model to jointly estimate the likelihood of undertaking three responses to earthquake and tsunami hazards (namely, (1) following disaster-related news closely, (2) preparing emergency kits and/or having a family emergency plan, and (3) having an intention to migrate) and community participation. We find that those who experienced losses from the 2004 tsunami are more likely to participate in community activities and respond to earthquake hazards. Compared to men, women are more likely to prepare emergency kits and/or have an emergency plan and have a greater intention to migrate. Living in a community with a higher proportion of women with tertiary education increases the probability of engaging in community activities and carrying out disaster risk reduction measures. Individuals who participate in village-based activities are 5.2% more likely to undertake all three risk reduction actions compared to those not engaging in community activities. This implies that encouraging participation in community activities can have positive externalities in disaster mitigation. PMID:26153891

Salud Para Su Corazon (health for your heart) community health worker model: community and clinical approaches for addressing cardiovascular disease risk reduction in Hispanics/Latinos.

PubMed

Balcazar, H; Alvarado, M; Ortiz, G

2011-01-01

This article describes 6 Salud Para Su Corazon (SPSC) family of programs that have addressed cardiovascular disease risk reduction in Hispanic communities facilitated by community health workers (CHWs) or Promotores de Salud (PS). A synopsis of the programs illustrates the designs and methodological approaches that combine community-based participatory research for 2 types of settings: community and clinical. Examples are provided as to how CHWs can serve as agents of change in these settings. A description is presented of a sustainability framework for the SPSC family of programs. Finally, implications are summarized for utilizing the SPSC CHW/PS model to inform ambulatory care management and policy.

Reduction of spatial distribution of risk factors for transportation of contaminants released by coal mining activities.

PubMed

Karan, Shivesh Kishore; Samadder, Sukha Ranjan

2016-09-15

It is reported that water-energy nexus composes two of the biggest development and human health challenges. In the present study we presented a Risk Potential Index (RPI) model which encapsulates Source, Vector (Transport), and Target risks for forecasting surface water contamination. The main aim of the model is to identify critical surface water risk zones for an open cast mining environment, taking Jharia Coalfield, India as the study area. The model also helps in feasible sampling design. Based on spatial analysis various risk zones were successfully delineated. Monthly RPI distribution revealed that the risk of surface water contamination was highest during the monsoon months. Surface water samples were analysed to validate the model. A GIS based alternative management option was proposed to reduce surface water contamination risk and observed 96% and 86% decrease in the spatial distribution of very high risk areas for the months June and July respectively. Copyright © 2016 Elsevier Ltd. All rights reserved.

Implementation of the American Academy of Pediatrics recommendations to reduce sudden infant death syndrome risk in neonatal intensive care units: An evaluation of nursing knowledge and practice.

PubMed

Grazel, Regina; Phalen, Ann Gibbons; Polomano, Rosemary C

2010-12-01

There is a direct relationship between nonsupine sleeping and sudden infant death syndrome (SIDS). Premature infants are at greater risk for SIDS and are often cared for in nonsupine positions during the course of hospitalization. Healthy premature infants should be placed supine for sleep before discharge from the neonatal intensive care unit (NICU), and parents receive specific instruction about infant sleep position and other risk factors for SIDS. Most published literature addressing nursing practices for SIDS reduction reflects practices with the healthy newborn population. To examine and describe NICU nurses' knowledge of SIDS risk-reduction measures, modeling of safe infant sleep interventions prior to discharge, and inclusion of SIDS risk reduction in parent education. Convenience sample of nurses practicing in level II and III NICUs located in 2 Middle Atlantic States. A prospective survey design was used for the study. The 14-item questionnaire was developed by a team of neonatal clinical experts and distributed via site coordinators to nurses in 19 NICUs. A total of 1080 surveys were distributed and 430 (40%) NICU nurses completed the survey. The majority of nurses (85%) identified the American Academy of Pediatrics SIDS risk-reduction strategies for safe sleep. The investigators found that age, years of nursing and neonatal nursing experience, and educational preparation did not significantly contribute to the practice of "supine-only" position for sleep for infants in NICUs. The study revealed that nurses frequently position healthy preterm infants supine for sleep when weaned to an open crib (50%). Others wait one to a few days before discharge (15%) and some never position supine for sleep (6%). Stuffed toys are removed from cribs 90.5% of the time. For term infants without major medical complications, 45.5% of surveyed nurses continued to use positioning aids/rolls in infants' cribs. The most common reasons nurses cited to position preterm infants side-lying or prone in a crib were fear of aspiration (29%), infant comfort (28%), and infant safety (20%). NICU nurses educated parents about SIDS and reduction strategies, using various media. At discharge, 73% of the nurses verbally communicated with parents, 53% provided printed literature, and 14% used audiovisual aids with parents. NICU nurses are in influential positions to educate parents and model SIDS risk-reduction strategies. This study supports other published research that points to inconsistencies in nursing practice regarding implementation of methods to reduce the risk of SIDS.

Recent innovation of geospatial information technology to support disaster risk management and responses

NASA Astrophysics Data System (ADS)

Une, Hiroshi; Nakano, Takayuki

2018-05-01

Geographic location is one of the most fundamental and indispensable information elements in the field of disaster response and prevention. For example, in the case of the Tohoku Earthquake in 2011, aerial photos taken immediately after the earthquake greatly improved information sharing among different government offices and facilitated rescue and recovery operations, and maps prepared after the disaster assisted in the rapid reconstruction of affected local communities. Thanks to the recent development of geospatial information technology, this information has become more essential for disaster response activities. Advancements in web mapping technology allows us to better understand the situation by overlaying various location-specific data on base maps on the web and specifying the areas on which activities should be focused. Through 3-D modelling technology, we can have a more realistic understanding of the relationship between disaster and topography. Geospatial information technology can sup-port proper preparation and emergency responses against disasters by individuals and local communities through hazard mapping and other information services using mobile devices. Thus, geospatial information technology is playing a more vital role on all stages of disaster risk management and responses. In acknowledging geospatial information's vital role in disaster risk reduction, the Sendai Framework for Disaster Risk Reduction 2015-2030, adopted at the Third United Nations World Conference on Disaster Risk Reduction, repeatedly reveals the importance of utilizing geospatial information technology for disaster risk reduction. This presentation aims to report the recent practical applications of geospatial information technology for disaster risk management and responses.

Improving diabetes care: Multi-component CArdiovascular Disease Risk Reduction Strategies for People with Diabetes in South Asia - The CARRS Multi-center Translation Trial

PubMed Central

Shah, Seema; Singh, Kavita; Ali, Mohammed K.; Mohan, V.; Kadir, Muhammad Masood; Unnikrishnan, A.G.; Sahay, Rakesh Kumar; Varthakavi, Premlata; Dharmalingam, Mala; Viswanathan, Vijay; Masood, Qamar; Bantwal, Ganapathi; Khadgawat, Rajesh; Desai, Ankush; Sethi, Bipin Kumar; Shivashankar, Roopa; Ajay, Vamadevan S; Reddy, K. Srinath; Narayan, K.M. Venkat; Prabhakaran, Dorairaj; Tandon, Nikhil

2012-01-01

Aims Cardiovascular disease (CVD) is the leading cause of morbidity and mortality in people with diabetes in South Asia. The CARRS translation trial tests the effectiveness, cost-effectiveness, and sustainability of a clinic-based multi-component CVD risk reduction intervention among people with diabetes in India and Pakistan. Methods We randomly assigned 1,146 adults with diabetes recruited from 10 urban clinic sites, to receive usual care by physicians or to receive an integrated multi-component CVD risk reduction intervention. The intervention involves electronic health record management, decision-support prompts to the healthcare team, and the support of a care coordinator to actively facilitate patient and provider adherence to evidence-based guidelines. The primary outcome is a composite of multiple CVD risk factor control (blood glucose and either blood pressure or cholesterol, or all three). Other outcomes include control of the individual CVD risk factors, process and patient-centered measures, cost-effectiveness, and acceptability/feasibility. Conclusion The CARRS translation trial tests a low-cost diabetes care delivery model in urban South Asia to achieve comprehensive cardio-metabolic disease case-management of high-risk patients (clinicaltrials.gov number: NCT01212328). PMID:23084280

Comparing Pain and Depressive Symptoms of Chronic Opioid Therapy Patients Receiving Dose Reduction and Risk Mitigation Initiatives With Usual Care.

PubMed

Thakral, Manu; Walker, Rod L; Saunders, Kathleen; Shortreed, Susan M; Parchman, Michael; Hansen, Ryan N; Ludman, Evette; Sherman, Karen J; Dublin, Sascha; Von Korff, Michael

2018-01-01

Dose reduction and risk mitigation initiatives have been recommended to reduce opioid-related risks among patients receiving chronic opioid therapy (COT), but questions remain over whether these initiatives worsen pain control and quality of life. In 2014 to 2015, we interviewed 1,588 adult COT patients within a health care system in Washington State and compared those who received dose reduction and risk mitigation initiatives in primary care clinics (intervention) with patients in comparable health care settings without initiatives (control). The primary outcomes were pain assessed using the pain, enjoyment, and general activity (PEG) scale, a 3-item scale to assess global pain intensity and interference, with secondary measures including depression (Patient Health Questionnaire-8 scale). Generalized estimating equations for linear regression models were used to estimate differences in mean scores between intervention and control sites. Estimated differences, adjusted for patient characteristics and weighted for nonresponse, between patients at intervention and control clinics were not clinically significant for the PEG (-.03, 95% confidence interval = -.25 to .19) or Patient Health Questionnaire-8 (-.64, 95% confidence interval = -1.19 to -.08). We found no evidence that COT patients in clinics with dose reduction and risk mitigation initiatives had clinically meaningful differences in pain intensity, interference with activities and enjoyment of life, or depressive symptoms compared with control health care settings. This article evaluates the effect of dose reduction and risk mitigation initiatives, such as those recently recommended by the Centers for Disease Control and Prevention, to reduce risks associated with COT on global pain and interference, depressive symptoms, and perceived pain relief and bothersomeness of side effects. Copyright © 2017 The American Pain Society. Published by Elsevier Inc. All rights reserved.

Measuring the Value of Mortality Risk Reductions in Turkey

PubMed Central

Tekeşin, Cem; Ara, Shihomi

2014-01-01

The willingness to pay (WTP) for mortality risk reduction from four causes (lung cancer, other type of cancer, respiratory disease, traffic accident) are estimated using random parameter logit model with data from choice experiment for three regions in Turkey. The value of statistical life (VSL) estimated for Afsin-Elbistan, Kutahya-Tavsanli, Ankara and the pooled case are found as 0.56, 0.35, 0.46 and 0.49 million Purchasing Power Parity (PPP) adjusted 2012 US dollars (USD). Different types of risk cause different VSL estimates and we found the lung cancer premium of 213% against traffic accident. The effects of one-year-delayed provision of risk-reduction service are the reduction of WTP by 482 TL ($318 in PPP adjusted USD) per person on average, and the disutility from status-quo (zero risk reduction) against alternative is found to be 891 TL ($589 in PPP adjusted USD) per person on average. Senior discounts of VSL are partially determined by status-quo preference and the amount of discount decreases once the status-quo bias is removed. The peak VSL is found to be for the age group 30–39 and the average VSL for the age group is 0.8 million PPP adjusted USD). Turkey’s compliance to European Union (EU) air quality standard will cause welfare gains of total 373 million PPP adjusted USD for our study areas in terms of reduced number of premature mortality. PMID:25000150

Effects of Correctional-Based Programs for Female Inmates: A Systematic Review

ERIC Educational Resources Information Center

Tripodi, Stephen J.; Bledsoe, Sarah E.; Kim, Johnny S.; Bender, Kimberly

2011-01-01

Objective: To examine the effectiveness of interventions for incarcerated women. Method: The researchers use a two-model system: the risk-reduction model for studies analyzing interventions to reduce recidivism rates, and the enhancement model for studies that target psychological and physical well-being. Results: Incarcerated women who…

Mathematical modelling of risk reduction in reinsurance

NASA Astrophysics Data System (ADS)

Balashov, R. B.; Kryanev, A. V.; Sliva, D. E.

2017-01-01

The paper presents a mathematical model of efficient portfolio formation in the reinsurance markets. The presented approach provides the optimal ratio between the expected value of return and the risk of yield values below a certain level. The uncertainty in the return values is conditioned by use of expert evaluations and preliminary calculations, which result in expected return values and the corresponding risk levels. The proposed method allows for implementation of computationally simple schemes and algorithms for numerical calculation of the numerical structure of the efficient portfolios of reinsurance contracts of a given insurance company.

ICARUSS, the Integrated Care for the Reduction of Secondary Stroke trial: rationale and design of a randomized controlled trial of a multimodal intervention to prevent recurrent stroke in patients with a recent cerebrovascular event, ACTRN = 12611000264987.

PubMed

Joubert, J; Davis, S M; Hankey, G J; Levi, C; Olver, J; Gonzales, G; Donnan, G A

2015-07-01

The majority of strokes, both ischaemic and haemorrhagic, are attributable to a relatively small number of risk factors which are readily manageable in primary care setting. Implementation of best-practice recommendations for risk factor management is calculated to reduce stroke recurrence by around 80%. However, risk factor management in stroke survivors has generally been poor at primary care level. A model of care that supports long-term effective risk factor management is needed. To determine whether the model of Integrated Care for the Reduction of Recurrent Stroke (ICARUSS) will, through promotion of implementation of best-practice recommendations for risk factor management reduce the combined incidence of stroke, myocardial infarction and vascular death in patients with recent stroke or transient ischaemic attack (TIA) of the brain or eye. A prospective, Australian, multicentre, randomized controlled trial. Academic stroke units in Melbourne, Perth and the John Hunter Hospital, New South Wales. 1000 stroke survivors recruited as from March 2007 with a recent (<3 months) stroke (ischaemic or haemorrhagic) or a TIA (brain or eye). Randomization and data collection are performed by means of a central computer generated telephone system (IVRS). Exposure to the ICARUSS model of integrated care or usual care. The composite of stroke, MI or death from any vascular cause, whichever occurs first. Risk factor management in the community, depression, quality of life, disability and dementia. With 1000 patients followed up for a median of one-year, with a recurrence rate of 7-10% per year in patients exposed to usual care, the study will have at least 80% power to detect a significant reduction in primary end-points The ICARUSS study aims to recruit and follow up patients between 2007 and 2013 and demonstrate the effectiveness of exposure to the ICARUSS model in stroke survivors to reduce recurrent stroke or vascular events and promote the implementation of best practice risk factor management at primary care level. © 2015 World Stroke Organization.

Effects of fine particulate matter and its constituents on low birth weight among full-term infants in California

DOE Office of Scientific and Technical Information (OSTI.GOV)

Basu, Rupa, E-mail: Rupa.Basu@oehha.ca.gov; Harris, Maria; Sie, Lillian

Relationships between prenatal exposure to fine particles (PM{sub 2.5}) and birth weight have been observed previously. Few studies have investigated specific constituents of PM{sub 2.5}, which may identify sources and major contributors of risk. We examined the effects of trimester and full gestational prenatal exposures to PM{sub 2.5} mass and 23 PM{sub 2.5} constituents on birth weight among 646,296 term births in California between 2000 and 2006. We used linear and logistic regression models to assess associations between exposures and birth weight and risk of low birth weight (LBW; <2500 g), respectively. Models were adjusted for individual demographic characteristics, apparentmore » temperature, month and year of birth, region, and socioeconomic indicators. Higher full gestational exposures to PM{sub 2.5} mass and several PM{sub 2.5} constituents were significantly associated with reductions in term birth weight. The largest reductions in birth weight were associated with exposure to vanadium, sulfur, sulfate, iron, elemental carbon, titanium, manganese, bromine, ammonium, zinc, and copper. Several of these PM{sub 2.5} constituents were associated with increased risk of term LBW. Reductions in birth weight were generally larger among younger mothers and varied by race/ethnicity. Exposure to specific constituents of PM{sub 2.5}, especially traffic-related particles, sulfur constituents, and metals, were associated with decreased birth weight in California. -- Highlights: • Examine full gestational and trimester fine particle and its constituents on term birth weight. • Fine particles and several of its constituents associated with birth weight reductions. • Largest reductions for traffic-related particles, sulfur constituents, and metals. • Greater birth weight reductions for younger mothers, and varied by race/ethnicity.« less

Revealing the underlying drivers of disaster risk: a global analysis

NASA Astrophysics Data System (ADS)

Peduzzi, Pascal

2017-04-01

Disasters events are perfect examples of compound events. Disaster risk lies at the intersection of several independent components such as hazard, exposure and vulnerability. Understanding the weight of each component requires extensive standardisation. Here, I show how footprints of past disastrous events were generated using GIS modelling techniques and used for extracting population and economic exposures based on distribution models. Using past event losses, it was possible to identify and quantify a wide range of socio-politico-economic drivers associated with human vulnerability. The analysis was applied to about nine thousand individual past disastrous events covering earthquakes, floods and tropical cyclones. Using a multiple regression analysis on these individual events it was possible to quantify each risk component and assess how vulnerability is influenced by various hazard intensities. The results show that hazard intensity, exposure, poverty, governance as well as other underlying factors (e.g. remoteness) can explain the magnitude of past disasters. Analysis was also performed to highlight the role of future trends in population and climate change and how this may impacts exposure to tropical cyclones in the future. GIS models combined with statistical multiple regression analysis provided a powerful methodology to identify, quantify and model disaster risk taking into account its various components. The same methodology can be applied to various types of risk at local to global scale. This method was applied and developed for the Global Risk Analysis of the Global Assessment Report on Disaster Risk Reduction (GAR). It was first applied on mortality risk in GAR 2009 and GAR 2011. New models ranging from global assets exposure and global flood hazard models were also recently developed to improve the resolution of the risk analysis and applied through CAPRA software to provide probabilistic economic risk assessments such as Average Annual Losses (AAL) and Probable Maximum Losses (PML) in GAR 2013 and GAR 2015. In parallel similar methodologies were developed to highlitght the role of ecosystems for Climate Change Adaptation (CCA) and Disaster Risk Reduction (DRR). New developments may include slow hazards (such as e.g. soil degradation and droughts), natech hazards (by intersecting with georeferenced critical infrastructures) The various global hazard, exposure and risk models can be visualized and download through the PREVIEW Global Risk Data Platform.

Risk Assessment of Alzheimer's Disease using the Information Diffusion Model from Structural Magnetic Resonance Imaging.

PubMed

Beheshti, Iman; Olya, Hossain G T; Demirel, Hasan

2016-04-05

Recently, automatic risk assessment methods have been a target for the detection of Alzheimer's disease (AD) risk. This study aims to develop an automatic computer-aided AD diagnosis technique for risk assessment of AD using information diffusion theory. Information diffusion is a fuzzy mathematics logic of set-value that is used for risk assessment of natural phenomena, which attaches fuzziness (uncertainty) and incompleteness. Data were obtained from voxel-based morphometry analysis of structural magnetic resonance imaging. The information diffusion model results revealed that the risk of AD increases with a reduction of the normalized gray matter ratio (p > 0.5, normalized gray matter ratio <40%). The information diffusion model results were evaluated by calculation of the correlation of two traditional risk assessments of AD, the Mini-Mental State Examination and the Clinical Dementia Rating. The correlation results revealed that the information diffusion model findings were in line with Mini-Mental State Examination and Clinical Dementia Rating results. Application of information diffusion model contributes to the computerization of risk assessment of AD, which has a practical implication for the early detection of AD.

Modeling combination HCV prevention among HIV-infected men who have sex with men and people who inject drugs

PubMed Central

Martin, Natasha K.; Skaathun, Britt; Vickerman, Peter; Stuart, David

2017-01-01

Background People who inject drugs (PWID) and HIV-infected men who have sex with men (MSM) are key risk groups for hepatitis C virus (HCV) transmission. Mathematical modeling studies can help elucidate what level and combination of prevention intervention scale-up is required to control or eliminate epidemics among these key populations. Methods We discuss the evidence surrounding HCV prevention interventions and provide an overview of the mathematical modeling literature projecting the impact of scaled-up HCV prevention among PWID and HIV-infected MSM. Results Harm reduction interventions such as opiate substitution therapy and needle and syringe programs are effective in reducing HCV incidence among PWID. Modeling and limited empirical data indicate HCV treatment could additionally be used for prevention. No studies have evaluated the effectiveness of behavior change interventions to reduce HCV incidence among MSM, but existing interventions to reduce HIV risk could be effective. Mathematical modeling and empirical data indicates that scale-up of harm reduction could reduce HCV transmission, but in isolation is unlikely to eliminate HCV among PWID. By contrast, elimination is possibly achievable through combination scale-up of harm reduction and HCV treatment. Similarly, among HIV-infected MSM, eliminating the emerging epidemics will likely require HCV treatment scale-up in combination with additional interventions to reduce HCV-related risk behaviors. Conclusions Elimination of HCV will likely require combination prevention efforts among both PWID and HIV-infected MSM populations. Further empirical research is required to validate HCV treatment as prevention among these populations, and to identify effective behavioral interventions to reduce HCV incidence among MSM. PMID:28534885

Using Simulation to Compare Established and Emerging Interventions to Reduce Cardiovascular Disease Risk in the United States

PubMed Central

Homer, Jack; Wile, Kristina; Trogdon, Justin G.; Hirsch, Gary; Cooper, Lawton; Soler, Robin; Orenstein, Diane

2014-01-01

Introduction Computer simulation offers the ability to compare diverse interventions for reducing cardiovascular disease risks in a controlled and systematic way that cannot be done in the real world. Methods We used the Prevention Impacts Simulation Model (PRISM) to analyze the effect of 50 intervention levers, grouped into 6 (2 x 3) clusters on the basis of whether they were established or emerging and whether they acted in the policy domains of care (clinical, mental health, and behavioral services), air (smoking, secondhand smoke, and air pollution), or lifestyle (nutrition and physical activity). Uncertainty ranges were established through probabilistic sensitivity analysis. Results Results indicate that by 2040, all 6 intervention clusters combined could result in cumulative reductions of 49% to 54% in the cardiovascular risk-related death rate and of 13% to 21% in risk factor-attributable costs. A majority of the death reduction would come from Established interventions, but Emerging interventions would also contribute strongly. A slim majority of the cost reduction would come from Emerging interventions. Conclusion PRISM allows public health officials to examine the potential influence of different types of interventions — both established and emerging — for reducing cardiovascular risks. Our modeling suggests that established interventions could still contribute much to reducing deaths and costs, especially through greater use of well-known approaches to preventive and acute clinical care, whereas emerging interventions have the potential to contribute significantly, especially through certain types of preventive care and improved nutrition. PMID:25376017

Seismic Risk Assessment for the Kyrgyz Republic

NASA Astrophysics Data System (ADS)

Pittore, Massimiliano; Sousa, Luis; Grant, Damian; Fleming, Kevin; Parolai, Stefano; Fourniadis, Yannis; Free, Matthew; Moldobekov, Bolot; Takeuchi, Ko

2017-04-01

The Kyrgyz Republic is one of the most socially and economically dynamic countries in Central Asia, and one of the most endangered by earthquake hazard in the region. In order to support the government of the Kyrgyz Republic in the development of a country-level Disaster Risk Reduction strategy, a comprehensive seismic risk study has been developed with the support of the World Bank. As part of this project, state-of-the-art hazard, exposure and vulnerability models have been developed and combined into the assessment of direct physical and economic risk on residential, educational and transportation infrastructure. The seismic hazard has been modelled with three different approaches, in order to provide a comprehensive overview of the possible consequences. A probabilistic seismic hazard assessment (PSHA) approach has been used to quantitatively evaluate the distribution of expected ground shaking intensity, as constrained by the compiled earthquake catalogue and associated seismic source model. A set of specific seismic scenarios based on events generated from known fault systems have been also considered, in order to provide insight on the expected consequences in case of strong events in proximity of densely inhabited areas. Furthermore, long-span catalogues of events have been generated stochastically and employed in the probabilistic analysis of expected losses over the territory of the Kyrgyz Republic. Damage and risk estimates have been computed by using an exposure model recently developed for the country, combined with the assignment of suitable fragility/vulnerability models. The risk estimation has been carried out with spatial aggregation at the district (rayon) level. The obtained results confirm the high level of seismic risk throughout the country, also pinpointing the location of several risk hotspots, particularly in the southern districts, in correspondence with the Ferghana valley. The outcome of this project will further support the local decision makers in implementing specific prevention and mitigation measures that are consistent with a broad risk reduction strategy.

Improved physiologically based pharmacokinetic model for oral exposures to chromium in mice, rats, and humans to address temporal variation and sensitive populations

DOE Office of Scientific and Technical Information (OSTI.GOV)

Kirman, C.R., E-mail: ckirman@summittoxicology.com

A physiologically based pharmacokinetic (PBPK) model for hexavalent chromium [Cr(VI)] in mice, rats, and humans developed previously (Kirman et al., 2012, 2013), was updated to reflect an improved understanding of the toxicokinetics of the gastrointestinal tract following oral exposures. Improvements were made to: (1) the reduction model, which describes the pH-dependent reduction of Cr(VI) to Cr(III) in the gastrointestinal tract under both fasted and fed states; (2) drinking water pattern simulations, to better describe dosimetry in rodents under the conditions of the NTP cancer bioassay; and (3) parameterize the model to characterize potentially sensitive human populations. Important species differences, sourcesmore » of non-linear toxicokinetics, and human variation are identified and discussed within the context of human health risk assessment. - Highlights: • An improved version of the PBPK model for Cr(VI) toxicokinetics was developed. • The model incorporates data collected to fill important data gaps. • Model predictions for specific age groups and sensitive subpopulations are provided. • Implications to human health risk assessment are discussed.« less

Thinking through cancer risk: characterizing smokers' process of risk determination.

PubMed

Hay, Jennifer; Shuk, Elyse; Cruz, Gustavo; Ostroff, Jamie

2005-10-01

The perception of cancer risk motivates cancer risk reduction behaviors. However, common measurement strategies for cancer risk perceptions, which involve numerical likelihood estimates, do not adequately capture individuals' thoughts and feelings about cancer risk. To guide the development of novel measurement strategies, the authors used semistructured interviews to examine the thought processes used by smokers (N = 15) as they considered their cancer risk. They used grounded theory to guide systematic data coding and develop a heuristic model describing smokers' risk perception process that includes a cognitive, primarily rational process whereby salient personal risk factors for cancer are considered and combined, and an affective/attitudinal process, which shifts risk perceptions either up or down. The model provides a tentative explanation concerning how people hold cancer risk perceptions that diverge from rational assessment of their risks and will be useful in guiding the development of non-numerical measurements strategies for cancer risk perceptions.

Tsunami evacuation analysis, modelling and planning: application to the coastal area of El Salvador

NASA Astrophysics Data System (ADS)

Gonzalez-Riancho, Pino; Aguirre-Ayerbe, Ignacio; Aniel-Quiroga, Iñigo; Abad Herrero, Sheila; González Rodriguez, Mauricio; Larreynaga, Jeniffer; Gavidia, Francisco; Quetzalcoalt Gutiérrez, Omar; Álvarez-Gómez, Jose Antonio; Medina Santamaría, Raúl

2014-05-01

Advances in the understanding and prediction of tsunami impacts allow the development of risk reduction strategies for tsunami-prone areas. Conducting adequate tsunami risk assessments is essential, as the hazard, vulnerability and risk assessment results allow the identification of adequate, site-specific and vulnerability-oriented risk management options, with the formulation of a tsunami evacuation plan being one of the main expected results. An evacuation plan requires the analysis of the territory and an evaluation of the relevant elements (hazard, population, evacuation routes, and shelters), the modelling of the evacuation, and the proposal of alternatives for those communities located in areas with limited opportunities for evacuation. Evacuation plans, which are developed by the responsible authorities and decision makers, would benefit from a clear and straightforward connection between the scientific and technical information from tsunami risk assessments and the subsequent risk reduction options. Scientifically-based evacuation plans would translate into benefits for the society in terms of mortality reduction. This work presents a comprehensive framework for the formulation of tsunami evacuation plans based on tsunami vulnerability assessment and evacuation modelling. This framework considers (i) the hazard aspects (tsunami flooding characteristics and arrival time), (ii) the characteristics of the exposed area (people, shelters and road network), (iii) the current tsunami warning procedures and timing, (iv) the time needed to evacuate the population, and (v) the identification of measures to improve the evacuation process, such as the potential location for vertical evacuation shelters and alternative routes. The proposed methodological framework aims to bridge the gap between risk assessment and risk management in terms of tsunami evacuation, as it allows for an estimation of the degree of evacuation success of specific management options, as well as for the classification and prioritization of the gathered information, in order to formulate an optimal evacuation plan. The framework has been applied to the El Salvador case study through the project "Tsunami Hazard and Risk Assessment in El Salvador", funded by AECID during the period 2009-12, demonstrating its applicability to site-specific response times and population characteristics.

Exposure to Theory-Driven Text Messages is Associated with HIV Risk Reduction Among Methamphetamine-Using Men Who have Sex with Men.

PubMed

Reback, Cathy J; Fletcher, Jesse B; Shoptaw, Steven; Mansergh, Gordon

2015-06-01

Fifty-two non-treatment-seeking methamphetamine-using men who have sex with men were enrolled in Project Tech Support, an open-label pilot study to evaluate whether exposure to theory-based [social support theory (SST), social cognitive theory (SCT), and health belief model (HBM)] text messages could promote reductions in HIV sexual risk behaviors and/or methamphetamine use. Multivariable analyses revealed that increased relative exposure to HBM or SCT (vs. SST) text messages was associated with significant reductions in the number of HIV serodiscordant unprotected (i.e., without a condom) anal sex partners, engagement in sex for money and/or drugs, and frequency of recent methamphetamine use; additionally, increased relative exposure to HBM (vs. SCT or SST) messages was uniquely associated with reductions in the overall number of non-primary anal sex partners (all p ≤ 0.05, two-tailed). Pilot data demonstrated that text messages based on the principles of HBM and SCT reduced sentinel HIV risk and drug use behaviors in active methamphetamine users.

School climate and bullying victimization: a latent class growth model analysis.

PubMed

Gage, Nicholas A; Prykanowski, Debra A; Larson, Alvin

2014-09-01

Researchers investigating school-level approaches for bullying prevention are beginning to discuss and target school climate as a construct that (a) may predict prevalence and (b) be an avenue for school-wide intervention efforts (i.e., increasing positive school climate). Although promising, research has not fully examined and established the social-ecological link between school climate factors and bullying/peer aggression. To address this gap, we examined the association between school climate factors and bullying victimization for 4,742 students in Grades 3-12 across 3 school years in a large, very diverse urban school district using latent class growth modeling. Across 3 different models (elementary, secondary, and transition to middle school), a 3-class model was identified, which included students at high-risk for bullying victimization. Results indicated that, for all students, respect for diversity and student differences (e.g., racial diversity) predicted within-class decreases in reports of bullying. High-risk elementary students reported that adult support in school was a significant predictor of within-class reduction of bullying, and high-risk secondary students report peer support as a significant predictor of within-class reduction of bullying. PsycINFO Database Record (c) 2014 APA, all rights reserved.

How do physicians weigh benefits and risks associated with treatments in patients with osteoarthritis in the United Kingdom?

PubMed

Arden, Nigel K; Hauber, A Brett; Mohamed, Ateesha F; Johnson, F Reed; Peloso, Paul M; Watson, Douglas J; Mavros, Panagiotis; Gammaitoni, Arnold; Sen, Shuvayu S; Taylor, Stephanie D

2012-05-01

To quantify the relative importance that UK physicians attach to the benefits and risks of current drugs when making treatment decisions for patients with osteoarthritis (OA). Physicians treating at least 10 patients with OA per month completed an online discrete-choice experiment survey and answered 12 treatment-choice questions comparing medication profiles. Medication profiles were defined by 4 benefits (reduction in ambulatory pain, resting pain, stiffness, and difficulty doing daily activities) and 3 treatment-related risks [bleeding ulcer, stroke, and myocardial infarction (MI)]. Each physician made medication choices for 3 of 9 hypothetical patients (varied by age, history of MI, hypertension, and history of gastrointestinal bleeding). Importance weights were estimated using a random-parameters logit model. Treatment-related risks physicians were willing to accept in exchange for various reductions in ambulatory and resting pain also were calculated. The final sample was 475. A reduction in ambulatory pain from 75 mm to 25 mm (1.6 units) was 1.1 times as important as an increase in MI risk from 0% to 1.5% (1.5 units). The greatest importance was for eliminating a 3% treatment-related risk of MI or stroke. On average, physicians were willing to accept an increase in bleeding ulcer risk of 0.7% (95% CI 0.4%-1.7%) for a reduction in ambulatory pain of 75 mm to 50 mm. When presented with well-known benefits and risks of OA treatments, physicians placed greater importance on the risks than on the analgesic properties of the drug. This has implications for the reporting of the results of clinical research to physicians.

Willingness-to-accept reductions in HIV risks: conditional economic incentives in Mexico.

PubMed

Galárraga, Omar; Sosa-Rubí, Sandra G; Infante, César; Gertler, Paul J; Bertozzi, Stefano M

2014-01-01

The objective of this study was to measure willingness-to-accept (WTA) reductions in risks for HIV and other sexually transmitted infections (STI) using conditional economic incentives (CEI) among men who have sex with men (MSM), including male sex workers (MSW) in Mexico City. A survey experiment was conducted with 1,745 MSM and MSW (18-25 years of age) who received incentive offers to decide first whether to accept monthly prevention talks and STI testing; and then a second set of offers to accept to stay free of STIs (verified by quarterly biological testing). The survey used random-starting-point and iterative offers. WTA was estimated with a maximum likelihood double-bounded dichotomous choice model. The average acceptance probabilities were: 73.9 % for the monthly model, and 80.4 % for the quarterly model. The incentive-elasticity of participation in the monthly model was 0.222, and 0.515 in the quarterly model. For a combination program with monthly prevention talks, and staying free of curable STI, the implied WTA was USD$ 288 per person per year, but it was lower for MSW: USD$ 156 per person per year. Thus, some of the populations at highest risk of HIV infection (MSM and MSW) seem well disposed to participate in a CEI program for HIV and STI prevention in Mexico. The average WTA estimate is within the range of feasible allocations for prevention in the local context. Given the potential impact, Mexico, a leader in conditional cash transfers for human development and poverty reduction, could extend that successful model to targeted HIV/STI prevention.

Willingness-to-accept reductions in HIV risks: conditional economic incentives in Mexico

PubMed Central

Galárraga, Omar; Sosa-Rubí, Sandra G.; Infante, César; Gertler, Paul J.; Bertozzi, Stefano M.

2014-01-01

The objective of this study was to measure willingness-to-accept (WTA) reductions in risks for HIV and other sexually transmitted infections (STI) using conditional economic incentives (CEI) among men who have sex with men (MSM), including male sex workers (MSW) in Mexico City. A survey experiment was conducted with 1,745 MSM and MSW (18-25 years of age) who received incentive offers to decide first whether to accept monthly prevention talks and STI testing; and then a second set of offers to accept to stay free of STIs (verified by quarterly biological testing). The survey used random-starting-point and iterative offers. WTA was estimated with a maximum likelihood double-bounded dichotomous choice model. The average acceptance probabilities were: 73.9% for the monthly model, and 80.4% for the quarterly model. The incentive-elasticity of participation in the monthly model was 0.222, and it was 0.515 in the quarterly model. For a combination program with monthly prevention talks, and staying free of curable STI, the implied WTA was USD$288 per person per year, but it was lower for MSW: USD$156 per person per year. Thus, some of the populations at highest risk of HIV infection (MSM & MSW) seem well disposed to participate in a CEI program for HIV and STI prevention in Mexico. The average willingness-to-accept estimate is within the range of feasible allocations for prevention in the local context. Given the potential impact, Mexico, a leader in conditional cash transfers for human development and poverty reduction, could extend that successful model for targeted HIV/STI prevention. PMID:23377757

Replication of a whole school ethos-changing intervention: different context, similar effects, additional insights.

PubMed

Hawe, Penelope; Bond, Lyndal; Ghali, Laura M; Perry, Rosemary; Davison, Colleen M; Casey, David M; Butler, Helen; Webster, Cynthia M; Scholz, Bert

2015-03-19

Whole school, ethos-changing interventions reduce risk behaviours in middle adolescence, more than curriculum-based approaches. Effects on older ages are not known. We set out to replicate one of these interventions, Australia's Gatehouse Project, in a rural Canadian high school. A guided, whole school change process sought to make students feel more safe, connected, and valued by: changes in teaching practices, orientation processes, professional development of staff, recognition and reward mechanisms, elevating student voice, and strategies to involve greater proactivity and participation. We conducted risk behaviour surveys in grades 10 to 12 before the intervention and 2 years afterwards, and social network analyses with the staff. Changes in health and health risk behaviours were assessed using chi-square. Interactions between the intervention and gender and between the intervention and school engagement were assessed using interaction terms in logistic regression models. Changes in the density of relationships among staff were tested with methods analogous to paired t-tests. Like Gatehouse, there was no statistically significant reduction in depressive symptoms or bullying, though the trend was in that direction. Among girls, there was a statistically significant decrease in low school engagement (45% relative reduction), and decreases in drinking (46% relative reduction), unprotected sex (61% relative reduction) and poor health (relative reduction of 73%). The reduction in drinking matched the national trend. Reductions in unprotected sex and poor health went against the national trend. We found no statistically significant changes for boys. The effects coincided with statistically significant increases in the densities of staff networks, indicating that part of the mechanism may be through relationships at school. A non-specific, risk protective intervention in the social environment of the school had a significant impact on a cluster of risk behaviours for girls. Results were remarkably like reports from similar school environment interventions elsewhere, albeit with different behaviours being affected. It may be that this type of intervention activates change processes that interact highly with context, impacting different risks differently, according to the prevalence, salience and distribution of the risk and the interconnectivity of relationships between staff and students. This requires further exploration.

Assessing the interaction between mountain forests and snow avalanches at Nevados de Chillán, Chile and its implications for ecosystem-based disaster risk reduction

NASA Astrophysics Data System (ADS)

Casteller, Alejandro; Häfelfinger, Thomas; Cortés Donoso, Erika; Podvin, Karen; Kulakowski, Dominik; Bebi, Peter

2018-04-01

Gravitational natural hazards such as snow avalanches, rockfalls, shallow landslides and volcanic activity represent a risk to mountain communities around the world. In particular, where documentary records about these processes are rare, decisions on risk management and land-use planning have to be based on a variety of other sources including vegetation, tree-ring data and natural hazard process models. We used a combination of these methods in order to evaluate dynamics of natural hazards with a focus on snow avalanches at Valle Las Trancas, in the Biobío region in Chile. Along this valley, natural hazards threaten not only the local human population, but also the numerous tourists attracted by outdoor recreational activities. Given the regional scarcity of documentary records, tree-ring methods were applied in order to reconstruct the local history of snow avalanches and debris flow events, which are the most important weather-related processes at respective tracks. A recent version of the model Rapid Mass MovementS (RAMMS), which includes influences of forest structure, was used to calculate different avalanche parameters such as runout distances and maximum pressures, taking into consideration the presence or absence of forest along the tracks as well as different modeled return periods. Our results show that local Nothofagus broadleaf forests contribute to a reduction of avalanche runout distances as well as impact pressure on present infrastructure, thus constituting a valuable ecosystem disaster risk reduction measure that can substitute or complement other traditional measures such as snow sheds.

Equity and Information: Information Regulation, Environmental Justice, and Risks from Toxic Chemicals

ERIC Educational Resources Information Center

Shapiro, Marc D.

2005-01-01

Decreases over time in pounds of industrial chemical emissions have led to concerns that nonminority, higher-income communities have benefited disproportionately in reductions in risk. Toxic chemical release data, modeled for toxicity and dispersion in square kilometer units across 45 states, are used to test six sets of hypotheses of potential…

Tsunami evacuation modelling as a tool for risk reduction: application to the coastal area of El Salvador

NASA Astrophysics Data System (ADS)

González-Riancho, P.; Aguirre-Ayerbe, I.; Aniel-Quiroga, I.; Abad, S.; González, M.; Larreynaga, J.; Gavidia, F.; Gutiérrez, O. Q.; Álvarez-Gómez, J. A.; Medina, R.

2013-12-01

Advances in the understanding and prediction of tsunami impacts allow the development of risk reduction strategies for tsunami-prone areas. This paper presents an integral framework for the formulation of tsunami evacuation plans based on tsunami vulnerability assessment and evacuation modelling. This framework considers (i) the hazard aspects (tsunami flooding characteristics and arrival time), (ii) the characteristics of the exposed area (people, shelters and road network), (iii) the current tsunami warning procedures and timing, (iv) the time needed to evacuate the population, and (v) the identification of measures to improve the evacuation process. The proposed methodological framework aims to bridge between risk assessment and risk management in terms of tsunami evacuation, as it allows for an estimation of the degree of evacuation success of specific management options, as well as for the classification and prioritization of the gathered information, in order to formulate an optimal evacuation plan. The framework has been applied to the El Salvador case study, demonstrating its applicability to site-specific response times and population characteristics.

Quantifying the risk-reduction potential of new Modified Risk Tobacco Products.

PubMed

Martin, Florian; Vuillaume, Gregory; Baker, Gizelle; Sponsiello-Wang, Zheng; Ricci, Paolo F; Lüdicke, Frank; Weitkunat, Rolf

2018-02-01

Quantitative risk assessment of novel Modified Risk Tobacco Products (MRTP) must rest on indirect measurements that are indicative of disease development prior to epidemiological data becoming available. For this purpose, a Population Health Impact Model (PHIM) has been developed to estimate the reduction in the number of deaths from smoking-related diseases following the introduction of an MRTP. One key parameter of the model, the F-factor, describes the effective dose upon switching from cigarette smoking to using an MRTP. Biomarker data, collected in clinical studies, can be analyzed to estimate the effects of switching to an MRTP as compared to quitting smoking. Based on transparent assumptions, a link function is formulated that translates these effects into the F-factor. The concepts of 'lack of sufficiency' and 'necessity' are introduced, allowing for a parametrization of a family of link functions. These can be uniformly sampled, thus providing different 'scenarios' on how biomarker-based evidence can be translated into the F-factor to inform the PHIM. Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

Reduced Risk of Importing Ebola Virus Disease because of Travel Restrictions in 2014: A Retrospective Epidemiological Modeling Study.

PubMed

Otsuki, Shiori; Nishiura, Hiroshi

An epidemic of Ebola virus disease (EVD) from 2013-16 posed a serious risk of global spread during its early growth phase. A post-epidemic evaluation of the effectiveness of travel restrictions has yet to be conducted. The present study aimed to estimate the effectiveness of travel restrictions in reducing the risk of importation from mid-August to September, 2014, using a simple hazard-based statistical model. The hazard rate was modeled as an inverse function of the effective distance, an excellent predictor of disease spread, which was calculated from the airline transportation network. By analyzing datasets of the date of EVD case importation from the 15th of July to the 15th of September 2014, and assuming that the network structure changed from the 8th of August 2014 because of travel restrictions, parameters that characterized the hazard rate were estimated. The absolute risk reduction and relative risk reductions due to travel restrictions were estimated to be less than 1% and about 20%, respectively, for all models tested. Effectiveness estimates among African countries were greater than those for other countries outside Africa. The travel restrictions were not effective enough to expect the prevention of global spread of Ebola virus disease. It is more efficient to control the spread of disease locally during an early phase of an epidemic than to attempt to control the epidemic at international borders. Capacity building for local containment and coordinated and expedited international cooperation are essential to reduce the risk of global transmission.

Reduced Risk of Importing Ebola Virus Disease because of Travel Restrictions in 2014: A Retrospective Epidemiological Modeling Study

PubMed Central

Otsuki, Shiori

2016-01-01

Background An epidemic of Ebola virus disease (EVD) from 2013–16 posed a serious risk of global spread during its early growth phase. A post-epidemic evaluation of the effectiveness of travel restrictions has yet to be conducted. The present study aimed to estimate the effectiveness of travel restrictions in reducing the risk of importation from mid-August to September, 2014, using a simple hazard-based statistical model. Methodology/Principal Findings The hazard rate was modeled as an inverse function of the effective distance, an excellent predictor of disease spread, which was calculated from the airline transportation network. By analyzing datasets of the date of EVD case importation from the 15th of July to the 15th of September 2014, and assuming that the network structure changed from the 8th of August 2014 because of travel restrictions, parameters that characterized the hazard rate were estimated. The absolute risk reduction and relative risk reductions due to travel restrictions were estimated to be less than 1% and about 20%, respectively, for all models tested. Effectiveness estimates among African countries were greater than those for other countries outside Africa. Conclusions The travel restrictions were not effective enough to expect the prevention of global spread of Ebola virus disease. It is more efficient to control the spread of disease locally during an early phase of an epidemic than to attempt to control the epidemic at international borders. Capacity building for local containment and coordinated and expedited international cooperation are essential to reduce the risk of global transmission. PMID:27657544

The Potential Role of Tree Diversity in Reducing Shallow Landslide Risk.

PubMed

Kobayashi, Yuta; Mori, Akira S

2017-05-01

Recently, interest in utilizing ecosystems for disaster risk reduction has increased, even though there remains considerable uncertainty regarding the role of ecosystems in buffering against natural hazards. This ecosystem role can be considered an ecosystem service. Although a strong body of evidence shows that biodiversity enhances ecosystem services, there are only a few studies of the relationship between biodiversity and the role of the ecosystem in reducing the risk of natural disasters. To explore the desired state of an ecosystem for disaster risk reduction we applied the finding that biodiversity enhances ecosystem services to evaluate the role of woody vegetation in reducing the frequency and severity of shallow landslides. Using information related to shallow landslides and woody vegetation in Japan as a case study, we compared the severity of shallow landslides (i.e., landslide volume) with tree species richness. Although we provide no direct evidence that tree species richness reduces shallow landslide volume, we found that the predictability of the model, which evaluated relationships between landslide volume and environmental variables in watersheds throughout the Japanese Archipelago, increased with tree species richness. This finding suggests that biodiversity is likely associated with shallow landslide risk reduction, emphasizing a possible reduction of spatial and temporal uncertainty in the roles of woody vegetation. Our study identifies a need for socioecological systems to build new approaches found on the functionality of such ecosystems.

Preventing HIV transmission among Iranian prisoners: Initial support for providing education on the benefits of harm reduction practices

PubMed Central

Eshrati, Babak; Asl, Rahim Taghizadeh; Dell, Colleen Anne; Afshar, Parviz; Millson, Peggy Margaret E; Kamali, Mohammad; Weekes, John

2008-01-01

Background Harm reduction is a health-centred approach that seeks to reduce the health and social harms associated with high-risk behaviors, such as illicit drug use. The objective of this study is to determine the association between the beliefs of a group of adult, male prisoners in Iran about the transmission of HIV and their high-risk practices while in prison. Methods A cross-sectional study was conducted in 2004. The study population was a random selection of 100 men incarcerated at Rajaei-Shahr prison. The data were collected through a self-administered questionnaire. Focus group discussions were held at the prison to guide the design of the questionnaire. The relationship between components of the Health Belief Model (HBM) and prisoners' risky HIV-related behaviors was examined. Results Calculating Pearson's correlation coefficient, a significant, positive association was found between the benefit component of the HBM and prisoners not engaging in HIV high-risk behaviors. Conclusion Educational harm reduction initiatives that promote the effectiveness of strategies designed to reduce the risk of HIV transmission may decrease prisoners' high-risk behaviors. This finding provides initial support for the Iran prison system's current offering of HIV/AIDS harm reduction programming and suggests the need to offer increased education about the effectiveness of HIV prevention practices. PMID:18541032

Using Radiation Risk Models in Cancer Screening Simulations: Important Assumptions and Effects on Outcome Projections

PubMed Central

Lee, Janie M.; McMahon, Pamela M.; Lowry, Kathryn P.; Omer, Zehra B.; Eisenberg, Jonathan D.; Pandharipande, Pari V.; Gazelle, G. Scott

2012-01-01

Purpose: To evaluate the effect of incorporating radiation risk into microsimulation (first-order Monte Carlo) models for breast and lung cancer screening to illustrate effects of including radiation risk on patient outcome projections. Materials and Methods: All data used in this study were derived from publicly available or deidentified human subject data. Institutional review board approval was not required. The challenges of incorporating radiation risk into simulation models are illustrated with two cancer screening models (Breast Cancer Model and Lung Cancer Policy Model) adapted to include radiation exposure effects from mammography and chest computed tomography (CT), respectively. The primary outcome projected by the breast model was life expectancy (LE) for BRCA1 mutation carriers. Digital mammographic screening beginning at ages 25, 30, 35, and 40 years was evaluated in the context of screenings with false-positive results and radiation exposure effects. The primary outcome of the lung model was lung cancer–specific mortality reduction due to annual screening, comparing two diagnostic CT protocols for lung nodule evaluation. The Metropolis-Hastings algorithm was used to estimate the mean values of the results with 95% uncertainty intervals (UIs). Results: Without radiation exposure effects, the breast model indicated that annual digital mammography starting at age 25 years maximized LE (72.03 years; 95% UI: 72.01 years, 72.05 years) and had the highest number of screenings with false-positive results (2.0 per woman). When radiation effects were included, annual digital mammography beginning at age 30 years maximized LE (71.90 years; 95% UI: 71.87 years, 71.94 years) with a lower number of screenings with false-positive results (1.4 per woman). For annual chest CT screening of 50-year-old females with no follow-up for nodules smaller than 4 mm in diameter, the lung model predicted lung cancer–specific mortality reduction of 21.50% (95% UI: 20.90%, 22.10%) without radiation risk and 17.75% (95% UI: 16.97%, 18.41%) with radiation risk. Conclusion: Because including radiation exposure risk can influence long-term projections from simulation models, it is important to include these risks when conducting modeling-based assessments of diagnostic imaging. © RSNA, 2012 Supplemental material: http://radiology.rsna.org/lookup/suppl/doi:10.1148/radiol.11110352/-/DC1 PMID:22357897

Hepatitis B vaccination and changes in sexual risk behaviour among men who have sex with men in Amsterdam.

PubMed

Xiridou, M; Wallinga, J; Dukers-Muijers, N; Coutinho, R

2009-04-01

The impact of hepatitis B vaccination in men having sex with men in Amsterdam has been marginal until now, possibly because of increases in sexual risk behaviour counterbalancing the effect of vaccination. A mathematical model is used to describe the hepatitis B epidemic. The model shows that, with the current vaccination coverage, the decrease in incidence is small in the beginning. However, the number of infections prevented per vaccine administered rises over time. Nevertheless, increased risk behaviour reduces the benefit of vaccination. Targeting high-risk men is more successful in reducing and containing the epidemic than targeting low-risk men. In conclusion, the vaccination campaign is effective and should be intensified. High-risk men should be targeted for vaccination and for risk reduction.

A global, open-source database of flood protection standards

NASA Astrophysics Data System (ADS)

Scussolini, Paolo; Aerts, Jeroen; Jongman, Brenden; Bouwer, Laurens; Winsemius, Hessel; de Moel, Hans; Ward, Philip

2016-04-01

Accurate flood risk estimation is pivotal in that it enables risk-informed policies in disaster risk reduction, as emphasized in the recent Sendai framework for Disaster Risk Reduction. To improve our understanding of flood risk, models are now capable to provide actionable risk information on the (sub)global scale. Still the accuracy of their results is greatly limited by the lack of information on standards of protection to flood that are actually in place; and researchers thus take large assumptions on the extent of protection. With our work we propose a first global, open-source database of FLOod PROtection Standards, FLOPROS, covering a range of spatial scales. FLOPROS is structured in three layers of information, and merges them into one consistent database: 1) the Design layer contains empirical information about the standard of protection presently in place; 2) the Policy layer contains intended protection standards from normative documents; 3) the Model layer uses a validated numerical approach to calculate protection standards for areas not covered in the other layers. The FLOPROS database can be used for more accurate risk assessment exercises across scales. As the database should be continually updated to reflect new interventions, we invite researchers and practitioners to contribute information. Further, we look for partners within the risk community to participate in additional strategies to implement the amount and accuracy of information contained in this first version of FLOPROS.

Space Radiation Cancer Risk Projections and Uncertainties - 2010

NASA Technical Reports Server (NTRS)

Cucinotta, Francis A.; Kim, Myung-Hee Y.; Chappell, Lori J.

2011-01-01

Uncertainties in estimating health risks from galactic cosmic rays greatly limit space mission lengths and potential risk mitigation evaluations. NASA limits astronaut exposures to a 3% risk of exposure-induced death and protects against uncertainties using an assessment of 95% confidence intervals in the projection model. Revisions to this model for lifetime cancer risks from space radiation and new estimates of model uncertainties are described here. We review models of space environments and transport code predictions of organ exposures, and characterize uncertainties in these descriptions. We summarize recent analysis of low linear energy transfer radio-epidemiology data, including revision to Japanese A-bomb survivor dosimetry, longer follow-up of exposed cohorts, and reassessments of dose and dose-rate reduction effectiveness factors. We compare these projections and uncertainties with earlier estimates. Current understanding of radiation quality effects and recent data on factors of relative biological effectiveness and particle track structure are reviewed. Recent radiobiology experiment results provide new information on solid cancer and leukemia risks from heavy ions. We also consider deviations from the paradigm of linearity at low doses of heavy ions motivated by non-targeted effects models. New findings and knowledge are used to revise the NASA risk projection model for space radiation cancer risks.

Predictors of the nicotine reinforcement threshold, compensation, and elasticity of demand in a rodent model of nicotine reduction policy.

PubMed

Grebenstein, Patricia E; Burroughs, Danielle; Roiko, Samuel A; Pentel, Paul R; LeSage, Mark G

2015-06-01

The FDA is considering reducing the nicotine content in tobacco products as a population-based strategy to reduce tobacco addiction. Research is needed to determine the threshold level of nicotine needed to maintain smoking and the extent of compensatory smoking that could occur during nicotine reduction. Sources of variability in these measures across sub-populations also need to be identified so that policies can take into account the risks and benefits of nicotine reduction in vulnerable populations. The present study examined these issues in a rodent nicotine self-administration model of nicotine reduction policy to characterize individual differences in nicotine reinforcement thresholds, degree of compensation, and elasticity of demand during progressive reduction of the unit nicotine dose. The ability of individual differences in baseline nicotine intake and nicotine pharmacokinetics to predict responses to dose reduction was also examined. Considerable variability in the reinforcement threshold, compensation, and elasticity of demand was evident. High baseline nicotine intake was not correlated with the reinforcement threshold, but predicted less compensation and less elastic demand. Higher nicotine clearance predicted low reinforcement thresholds, greater compensation, and less elastic demand. Less elastic demand also predicted lower reinforcement thresholds. These findings suggest that baseline nicotine intake, nicotine clearance, and the essential value of nicotine (i.e. elasticity of demand) moderate the effects of progressive nicotine reduction in rats and warrant further study in humans. They also suggest that smokers with fast nicotine metabolism may be more vulnerable to the risks of nicotine reduction. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Predictors of the nicotine reinforcement threshold, compensation, and elasticity of demand in a rodent model of nicotine reduction policy*

PubMed Central

Grebenstein, Patricia E.; Burroughs, Danielle; Roiko, Samuel A.; Pentel, Paul R.; LeSage, Mark G.

2015-01-01

Background The FDA is considering reducing the nicotine content in tobacco products as a population-based strategy to reduce tobacco addiction. Research is needed to determine the threshold level of nicotine needed to maintain smoking and the extent of compensatory smoking that could occur during nicotine reduction. Sources of variability in these measures across sub-populations also need to be identified so that policies can take into account the risks and benefits of nicotine reduction in vulnerable populations. Methods The present study examined these issues in a rodent nicotine self- administration model of nicotine reduction policy to characterize individual differences in nicotine reinforcement thresholds, degree of compensation, and elasticity of demand during progressive reduction of the unit nicotine dose. The ability of individual differences in baseline nicotine intake and nicotine pharmacokinetics to predict responses to dose reduction was also examined. Results Considerable variability in the reinforcement threshold, compensation, and elasticity of demand was evident. High baseline nicotine intake was not correlated with the reinforcement threshold, but predicted less compensation and less elastic demand. Higher nicotine clearance predicted low reinforcement thresholds, greater compensation, and less elastic demand. Less elastic demand also predicted lower reinforcement thresholds. Conclusions These findings suggest that baseline nicotine intake, nicotine clearance, and the essential value of nicotine (i.e. elasticity of demand) moderate the effects of progressive nicotine reduction in rats and warrant further study in humans. They also suggest that smokers with fast nicotine metabolism may be more vulnerable to the risks of nicotine reduction. PMID:25891231

Gait Speed among Older Participants Enrolled in an Evidence-Based Fall Risk Reduction Program: A Subgroup Analysis.

PubMed

Cho, Jinmyoung; Smith, Matthew Lee; Shubert, Tiffany E; Jiang, Luohua; Ahn, SangNam; Ory, Marcia G

2015-01-01

Functional decline is a primary risk factor for institutionalization and mortality among older adults. Although community-based fall risk reduction programs have been widely disseminated, little is known about their impact on gait speed, a key indicator of functional performance. Changes in functional performance between baseline and post-intervention were examined by means of timed up and go (TUG), a standardized functional assessment test administered to participants enrolled in A Matter of Balance/Volunteer Lay Leader (AMOB/VLL) model, an evidence-based fall risk reduction program. This study included 71 participants enrolled in an AMOB/VLL program in the Brazos Valley and South Plain regions of Texas. Paired t-tests were employed to assess program effects on gait speed at baseline and post-intervention for all participants and by subgroups of age, sex, living status, delivery sites, and self-rated health. The Bonferroni correction was applied to adjust inflated Type I error rate associated with performing multiple t-tests, for which p-values <0.0042 (i.e., 0.5/12 comparisons) were deemed statistically significant. Overall, gait speed of enrolled participants improved from baseline to post-intervention (t = 3.22, p = 0.002). Significant changes in TUG scores were observed among participants who lived with others (t = 4.45, p < 0.001), rated their health as excellent, very good, or good (t = 3.05, p = 0.003), and attended program workshops at senior centers (t = 3.52, p = 0.003). Findings suggest community-based fall risk reduction programs can improve gait speed for older adults. More translational research is needed to understand factors related to the effectiveness of fall risk reduction programs in various populations and settings.

Coffee consumption modifies risk of estrogen-receptor negative breast cancer

PubMed Central

2011-01-01

Introduction Breast cancer is a complex disease and may be sub-divided into hormone-responsive (estrogen receptor (ER) positive) and non-hormone-responsive subtypes (ER-negative). Some evidence suggests that heterogeneity exists in the associations between coffee consumption and breast cancer risk, according to different estrogen receptor subtypes. We assessed the association between coffee consumption and postmenopausal breast cancer risk in a large population-based study (2,818 cases and 3,111 controls), overall, and stratified by ER tumour subtypes. Methods Odds ratios (OR) and corresponding 95% confidence intervals (CI) were estimated using the multivariate logistic regression models fitted to examine breast cancer risk in a stratified case-control analysis. Heterogeneity among ER subtypes was evaluated in a case-only analysis, by fitting binary logistic regression models, treating ER status as a dependent variable, with coffee consumption included as a covariate. Results In the Swedish study, coffee consumption was associated with a modest decrease in overall breast cancer risk in the age-adjusted model (OR> 5 cups/day compared to OR≤ 1 cup/day: 0.80, 95% CI: 0.64, 0.99, P trend = 0.028). In the stratified case-control analyses, a significant reduction in the risk of ER-negative breast cancer was observed in heavy coffee drinkers (OR> 5 cups/day compared to OR≤ 1 cup/day : 0.43, 95% CI: 0.25, 0.72, P trend = 0.0003) in a multivariate-adjusted model. The breast cancer risk reduction associated with higher coffee consumption was significantly higher for ER-negative compared to ER-positive tumours (P heterogeneity (age-adjusted) = 0.004). Conclusions A high daily intake of coffee was found to be associated with a statistically significant decrease in ER-negative breast cancer among postmenopausal women. PMID:21569535

Health risk assessment of emissions of dioxins and furans from a municipal waste incinerator: comparison with other emission sources.

PubMed

Meneses, Montse; Schuhmacher, Marta; Domingo, José L

2004-06-01

The aim of this study was to calculate the incremental lifetime-risk to dioxins and furans (PCDD/Fs) for the population living in the surroundings of a municipal solid waste incinerator (MSWI), as well as to establish the potential reduction on human health risks as a consequence of the adaptation to the EU legislation on pollutant emissions from the MSWI stack. Analytical and modelled results were obtained. PCDD/F concentrations in environmental media were determined by means of a simple-compartment-multimedia model (air-soil-vegetation model). Predicted and measured PCDD/F concentrations in soils and vegetation were compared, and the effects of MSWI emissions in the environmental media were determined. Human health risks due to PCDD/F emissions from the MSWI were also estimated based on I-TEQ measured and modelled in various environmental media. Cancer risks due to PCDD/F emissions of the plant were 1.07E-07 and 3.08E-09, before and after installation of the clean air system, respectively. On the other hand, cancer risks due to other PCDD/F emission sources in the area were 5.54E-06 and 1.86E-06. Total PCDD/F cancer risks (including those from diet) for the population living in the vicinity of the MSWI were 1.3E-04 and 4.25E-05, respectively (67.6% of reduction). Hazard ratio for total PCDD/F exposure (including diet) decreased during the last 5 years from 1.16 to 0.38. The above data show that other emission sources of PCDD/Fs also have a notable environmental impact on the area under direct influence of the MSWI.

Model-based approach for quantitative estimates of skin, heart, and lung toxicity risk for left-side photon and proton irradiation after breast-conserving surgery.

PubMed

Tommasino, Francesco; Durante, Marco; D'Avino, Vittoria; Liuzzi, Raffaele; Conson, Manuel; Farace, Paolo; Palma, Giuseppe; Schwarz, Marco; Cella, Laura; Pacelli, Roberto

2017-05-01

Proton beam therapy represents a promising modality for left-side breast cancer (BC) treatment, but concerns have been raised about skin toxicity and poor cosmesis. The aim of this study is to apply skin normal tissue complication probability (NTCP) model for intensity modulated proton therapy (IMPT) optimization in left-side BC. Ten left-side BC patients undergoing photon irradiation after breast-conserving surgery were randomly selected from our clinical database. Intensity modulated photon (IMRT) and IMPT plans were calculated with iso-tumor-coverage criteria and according to RTOG 1005 guidelines. Proton plans were computed with and without skin optimization. Published NTCP models were employed to estimate the risk of different toxicity endpoints for skin, lung, heart and its substructures. Acute skin NTCP evaluation suggests a lower toxicity level with IMPT compared to IMRT when the skin is included in proton optimization strategy (0.1% versus 1.7%, p < 0.001). Dosimetric results show that, with the same level of tumor coverage, IMPT attains significant heart and lung dose sparing compared with IMRT. By NTCP model-based analysis, an overall reduction in the cardiopulmonary toxicity risk prediction can be observed for all IMPT compared to IMRT plans: the relative risk reduction from protons varies between 0.1 and 0.7 depending on the considered toxicity endpoint. Our analysis suggests that IMPT might be safely applied without increasing the risk of severe acute radiation induced skin toxicity. The quantitative risk estimates also support the potential clinical benefits of IMPT for left-side BC irradiation due to lower risk of cardiac and pulmonary morbidity. The applied approach might be relevant on the long term for the setup of cost-effectiveness evaluation strategies based on NTCP predictions.

Predicting Condom Use Using the Information-Motivation-Behavioral Skills (IMB) Model: A Multivariate Latent Growth Curve Analysis

PubMed Central

Senn, Theresa E.; Scott-Sheldon, Lori A. J.; Vanable, Peter A.; Carey, Michael P.

2011-01-01

Background The Information-Motivation-Behavioral Skills (IMB) model often guides sexual risk reduction programs even though no studies have examined covariation in the theory’s constructs in a dynamic fashion with longitudinal data. Purpose Using new developments in latent growth modeling, we explore how changes in information, motivation, and behavioral skills over 9 months relate to changes in condom use among STD clinic patients. Methods Participants (N = 1281, 50% female, 66% African American) completed measures of IMB constructs at three time points. We used parallel process latent growth modeling to examine associations among intercepts and slopes of IMB constructs. Results Initial levels of motivation, behavioral skills, and condom use were all positively associated, with behavioral skills partially mediating associations between motivation and condom use. Changes over time in behavioral skills positively related to changes in condom use. Conclusions Results support the key role of behavioral skills in sexual risk reduction, suggesting these skills should be targeted in HIV prevention interventions. PMID:21638196

[Economic efficiency of renal denervation in patients with resistant hypertension: results of Markov modeling].

PubMed

Kontsevaia, A V; Suvorova, E I; Khudiakov, M B

2014-01-01

Aim of this study was to evaluate the cost-effectiveness of renal denervation (RD) in resistant arterial hypertension (AH) in Russia. Modeling of Markov conducted economic impact of RD on the Russian population of patients with resistant hypertension in combination with optimal medical therapy (OMT) compared with OMT using a model developed by American researchers based on the results of international research. The model contains data on Russian mortality, and costs of major complications of hypertension. The simulation results showed a significant reduction in relative risk reduction of adverse outcomes in patients with resistant hypertension for 10 years (risk of stroke is reduced by 30%, myocardial infarction - 32%). RD saves 0.9 years of quality-adjusted life (QALY) by an average of 1 patient with resistant hypertension. Costs for 1 year stored in the application of quality of life amounted to RD 203 791.6 rubles. Which is below the 1 gross domestic product and therefore indicates the feasibility of this method in Russia.

Official Positions for FRAX® clinical regarding falls and frailty: can falls and frailty be used in FRAX®? From Joint Official Positions Development Conference of the International Society for Clinical Densitometry and International Osteoporosis Foundation on FRAX®.

PubMed

Masud, Tahir; Binkley, Neil; Boonen, Steven; Hannan, Marian T

2011-01-01

Risk factors for fracture can be purely skeletal, e.g., bone mass, microarchitecture or geometry, or a combination of bone and falls risk related factors such as age and functional status. The remit of this Task Force was to review the evidence and consider if falls should be incorporated into the FRAX® model or, alternatively, to provide guidance to assist clinicians in clinical decision-making for patients with a falls history. It is clear that falls are a risk factor for fracture. Fracture probability may be underestimated by FRAX® in individuals with a history of frequent falls. The substantial evidence that various interventions are effective in reducing falls risk was reviewed. Targeting falls risk reduction strategies towards frail older people at high risk for indoor falls is appropriate. This Task Force believes that further fracture reduction requires measures to reduce falls risk in addition to bone directed therapy. Clinicians should recognize that patients with frequent falls are at higher fracture risk than currently estimated by FRAX® and include this in decision-making. However, quantitative adjustment of the FRAX® estimated risk based on falls history is not currently possible. In the long term, incorporation of falls as a risk factor in the FRAX® model would be ideal. Copyright © 2011 The International Society for Clinical Densitometry. Published by Elsevier Inc. All rights reserved.

NASA Propulsion Concept Studies and Risk Reduction Activities for Resource Prospector Lander

NASA Technical Reports Server (NTRS)

Trinh, Huu P.; Williams, Hunter; Burnside, Chris

2015-01-01

The trade study has led to the selection of propulsion concept with the lowest cost and net lowest risk -Government-owned, flight qualified components -Meet mission requirements although the configuration is not optimized. Risk reduction activities have provided an opportunity -Implement design improvements while development with the early-test approach. -Gain knowledge on the operation and identify operation limit -Data to anchor analytical models for future flight designs; The propulsion system cold flow tests series have provided valuable data for future design. -The pressure surge from the system priming and waterhammer within component operation limits. -Enable to optimize the ullage volume to reduce the propellant tank mass; RS-34 hot fire tests have successfully demonstrated of using the engines for the RP mission -No degradation of performance due to extended storage life of the hardware. -Enable to operate the engine for RP flight mission scenarios, outside of the qualification regime. -Provide extended data for the thermal and GNC designs. Significant progress has been made on NASA propulsion concept design and risk reductions for Resource Prospector lander.

Minority Households' Willingness-to-Pay for Public and Private Wildfire Risk Reduction in Florida

NASA Astrophysics Data System (ADS)

Gonzalez-Caban, A.; Sanchez, J. J.

2017-12-01

The purpose of this work is to estimate willingness-to-pay (WTP) for minority (African-American and Hispanic) homeowners in Florida for private and public wildfire risk reduction programs and also to test for differences in response between the two groups. A random parameter logit and latent class models allowed us to determine if there is difference in wildfire mitigation program preferences, whether WTP is higher for public or private actions for wildfire risk reduction, and whether households with personal experience and who perceive that they live in higher-risk areas have significantly higher WTP. We also compare FL minority homeowners' WTP values with Florida original homeowners' estimates. Results suggest that FL minority homeowners are willing to invest in public programs, with African-Americans WTP values at a higher rate than Hispanics. In addition, the highest priority for cost sharing funds would go to low-income homeowners, especially to cost-share private actions on their own land. These results may help fire managers optimize allocation of scarce cost-sharing funds for public versus private actions.

Models for the Economics of Resilience

PubMed Central

Gilbert, Stanley; Ayyub, Bilal M.

2016-01-01

Estimating the economic burden of disasters requires appropriate models that account for key characteristics and decision making needs. Natural disasters in 2011 resulted in $366 billion in direct damages and 29,782 fatalities worldwide. Average annual losses in the US amount to about $55 billion. Enhancing community and system resilience could lead to significant savings through risk reduction and expeditious recovery. The management of such reduction and recovery is facilitated by an appropriate definition of resilience and associated metrics with models for examining the economics of resilience. This paper provides such microeconomic models, compares them, examines their sensitivities to key parameters, and illustrates their uses. Such models enable improving the resiliency of systems to meet target levels. PMID:28133626

Models for the Economics of Resilience.

PubMed

Gilbert, Stanley; Ayyub, Bilal M

2016-12-01

Estimating the economic burden of disasters requires appropriate models that account for key characteristics and decision making needs. Natural disasters in 2011 resulted in $366 billion in direct damages and 29,782 fatalities worldwide. Average annual losses in the US amount to about $55 billion. Enhancing community and system resilience could lead to significant savings through risk reduction and expeditious recovery. The management of such reduction and recovery is facilitated by an appropriate definition of resilience and associated metrics with models for examining the economics of resilience. This paper provides such microeconomic models, compares them, examines their sensitivities to key parameters, and illustrates their uses. Such models enable improving the resiliency of systems to meet target levels.

Social Media Use and Sexual Risk Reduction Behavior Among Minority Youth: Seeking Safe Sex Information.

PubMed

Stevens, Robin; Gilliard-Matthews, Stacia; Dunaev, Jamie; Todhunter-Reid, Abigail; Brawner, Bridgette; Stewart, Jennifer

Sexual health is an important area of study-particularly for minority youth and youth living in disadvantaged neighborhoods. The purpose of the research was to examine the sources of sexual health information associated with youth adopting sexual risk reduction behaviors. Data collection took place in a small city in the Northeastern United States using cross-sectional behavioral surveys and modified venue-based sampling. Participants included 249 African American and Latino youth aged 13-24. Participants reported their sources of information about contraception and human immunodeficiency virus/sexually transmitted disease, such as TV/movies, parents, social media; their intentions to have sex; and condom and contraception use during their last sexual activity. Social media use, past pregnancy experience, past sexual history, age, and gender were also measured. Standard tests of bivariate association (chi-square and F tests) were used to examine initial associations between sexual risk reduction behavior and exposure to sexual risk reduction information on social media. Logistic regression models were used to test multivariate relationships between information sources and sexual risk reduction behavior. Youth who were exposed to sexual health messages on social media were 2.69 times (p < .05) and 2.49 times (p < .08) more likely to have used contraception or a condom at last intercourse, respectively. Parents, schools, or traditional media as information sources were not significantly associated with contractive use or condom use at last intercourse. Youth sexual behavior is increasingly informed by social media messages. Health practitioners should utilize social media as an important health promotion tool.

Relative risk reduction is useful metric to standardize effect size for public heath interventions for translational research.

PubMed

Mirzazadeh, Ali; Malekinejad, Mohsen; Kahn, James G

2015-03-01

Heterogeneity of effect measures in intervention studies undermines the use of evidence to inform policy. Our objective was to develop a comprehensive algorithm to convert all types of effect measures to one standard metric, relative risk reduction (RRR). This work was conducted to facilitate synthesis of published intervention effects for our epidemic modeling of the health impact of human immunodeficiency virus [HIV testing and counseling (HTC)]. We designed and implemented an algorithm to transform varied effect measures to RRR, representing the proportionate reduction in undesirable outcomes. Our extraction of 55 HTC studies identified 473 effect measures representing unique combinations of intervention-outcome-population characteristics, using five outcome metrics: pre-post proportion (70.6%), odds ratio (14.0%), mean difference (10.2%), risk ratio (4.4%), and RRR (0.9%). Outcomes were expressed as both desirable (29.5%, eg, consistent condom use) and undesirable (70.5%, eg, inconsistent condom use). Using four examples, we demonstrate our algorithm for converting varied effect measures to RRR and provide the conceptual basis for advantages of RRR over other metrics. Our review of the literature suggests that RRR, an easily understood and useful metric to convey risk reduction associated with an intervention, is underused by original and review studies. Copyright © 2015 Elsevier Inc. All rights reserved.

Understanding the trends in HIV and hepatitis C prevalence amongst injecting drug users in different settings--implications for intervention impact.

PubMed

Vickerman, Peter; Martin, Natasha K; Hickman, Matthew

2012-06-01

A recent systematic review observed that HIV prevalence amongst injectors is negligible (<1%) below a threshold HCV prevalence of 30%, but thereafter increases with HCV prevalence. We explore whether a model can reproduce these trends, what determines different epidemiological profiles and how this affects intervention impact. An HIV/HCV transmission model was developed. Univariate sensitivity analyses determined whether the model projected a HCV prevalence threshold below which HIV is negligible, and how different behavioural and epidemiological factors affect the threshold. Multivariate uncertainty analyses considered whether the model could reproduce the observed breadth of HIV/HCV epidemics, how specific behavioural patterns produce different epidemic profiles, and how this affects an intervention's impact (reduces injecting risk by 30%). The model projected a HCV prevalence threshold, which varied depending on the heterogeneity in risk, mixing, and injecting duration in a setting. Multivariate uncertainty analyses showed the model could produce the same range of observed HIV/HCV epidemics. Variability in injecting transmission risk, degree of heterogeneity and injecting duration mainly determined different epidemic profiles. The intervention resulted in 50%/28% reduction in HIV incidence/prevalence and 37%/10% reduction in HCV incidence/prevalence over five years. For either infection, greater impact occurred in settings with lower prevalence of that infection and higher prevalence of the other infection. There are threshold levels of HCV prevalence below which HIV risk is negligible but these thresholds are likely to vary by setting. A setting's HIV and HCV prevalence may give insights into IDU risk behaviour and intervention impact. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

A PROgramme of Lifestyle Intervention in Families for Cardiovascular risk reduction (PROLIFIC Study): design and rationale of a family based randomized controlled trial in individuals with family history of premature coronary heart disease.

PubMed

Jeemon, Panniyammakal; Harikrishnan, S; Sanjay, G; Sivasubramonian, Sivasankaran; Lekha, T R; Padmanabhan, Sandosh; Tandon, Nikhil; Prabhakaran, Dorairaj

2017-01-05

Recognizing patterns of coronary heart disease (CHD) risk in families helps to identify and target individuals who may have the most to gain from preventive interventions. The overall goal of the study is to test the effectiveness and sustainability of an integrated care model for managing cardiovascular risk in high risk families. The proposed care model targets the structural and environmental conditions that predispose high risk families to development of CHD through the following interventions: 1) screening for cardiovascular risk factors, 2) providing lifestyle interventions 3) providing a framework for linkage to appropriate primary health care facility, and 4) active follow-up of intervention adherence. Initially, a formative qualitative research component will gather information on understanding of diseases, barriers to care, specific components of the intervention package and feedback on the intervention. Then a cluster randomized controlled trial involving 740 families comprising 1480 participants will be conducted to determine whether the package of interventions (integrated care model) is effective in reducing or preventing the progression of CHD risk factors and risk factor clustering in families. The sustainability and scalability of this intervention will be assessed through economic (cost-effectiveness analyses) and qualitative evaluation (process outcomes) to estimate value and acceptability. Scalability is informed by cost-effectiveness and acceptability of the integrated cardiovascular risk reduction approach. Knowledge generated from this trial has the potential to significantly affect new programmatic policy and clinical guidelines that will lead to improvements in cardiovascular health in India. NCT02771873, registered in May 2016 ( https://clinicaltrials.gov/ct2/show/results/NCT02771873 ).

Optimizing prevention of hospital-acquired venous thromboembolism (VTE): prospective validation of a VTE risk assessment model.

PubMed

Maynard, Gregory A; Morris, Timothy A; Jenkins, Ian H; Stone, Sarah; Lee, Joshua; Renvall, Marian; Fink, Ed; Schoenhaus, Robert

2010-01-01

Hospital-acquired (HA) venous thromboembolism (VTE) is a common source of morbidity/mortality. Prophylactic measures are underutilized. Available risk assessment models/protocols are not prospectively validated. Improve VTE prophylaxis, reduce HA VTE, and prospectively validate a VTE risk-assessment model. Observational design. Academic medical center. Adult inpatients on medical/surgical services. A simple VTE risk assessment linked to a menu of preferred VTE prophylaxis methods, embedded in order sets. Education, audit/feedback, and concurrent identification of nonadherence. Randomly sampled inpatient audits determined the percent of patients with "adequate" VTE prevention. HA VTE cases were identified concurrently via digital imaging system. Interobserver agreement for VTE risk level and judgment of adequate prophylaxis were calculated from 150 random audits. Interobserver agreement with 5 observers was high (kappa score for VTE risk level = 0.81, and for judgment of "adequate" prophylaxis = 0.90). The percent of patients on adequate prophylaxis improved each of the 3 years (58%, 78%, and 93%; P < 0.001) and reached 98% in the last 6 months of 2007; 361 cases of HA VTE occurred over 3 years. Significant reductions for the risk of HA VTE (risk ratio [RR] = 0.69; 95% confidence interval [CI] = 0.47-0.79) and preventable HA VTE (RR = 0.14; 95% CI = 0.06-0.31) occurred. We detected no increase in heparin-induced thrombocytopenia (HIT) or prophylaxis-related bleeding using administrative data/chart review. We prospectively validated a VTE risk-assessment/prevention protocol by demonstrating ease of use, good interobserver agreement, and effectiveness. Improved VTE prophylaxis resulted in a substantial reduction in HA VTE. (c) 2010 Society of Hospital Medicine.

Declining vulnerability to river floods and the global benefits of adaptation

PubMed Central

Jongman, Brenden; Winsemius, Hessel C.; Aerts, Jeroen C. J. H.; Coughlan de Perez, Erin; van Aalst, Maarten K.; Kron, Wolfgang; Ward, Philip J.

2015-01-01

The global impacts of river floods are substantial and rising. Effective adaptation to the increasing risks requires an in-depth understanding of the physical and socioeconomic drivers of risk. Whereas the modeling of flood hazard and exposure has improved greatly, compelling evidence on spatiotemporal patterns in vulnerability of societies around the world is still lacking. Due to this knowledge gap, the effects of vulnerability on global flood risk are not fully understood, and future projections of fatalities and losses available today are based on simplistic assumptions or do not include vulnerability. We show for the first time (to our knowledge) that trends and fluctuations in vulnerability to river floods around the world can be estimated by dynamic high-resolution modeling of flood hazard and exposure. We find that rising per-capita income coincided with a global decline in vulnerability between 1980 and 2010, which is reflected in decreasing mortality and losses as a share of the people and gross domestic product exposed to inundation. The results also demonstrate that vulnerability levels in low- and high-income countries have been converging, due to a relatively strong trend of vulnerability reduction in developing countries. Finally, we present projections of flood losses and fatalities under 100 individual scenario and model combinations, and three possible global vulnerability scenarios. The projections emphasize that materialized flood risk largely results from human behavior and that future risk increases can be largely contained using effective disaster risk reduction strategies. PMID:25902499

Multidimensional family therapy HIV/STD risk-reduction intervention: an integrative family-based model for drug-involved juvenile offenders.

PubMed

Marvel, Francoise; Rowe, Cynthia L; Colon-Perez, Lissette; DiClemente, Ralph J; Liddle, Howard A

2009-03-01

Drug and juvenile justice involved youths show remarkably high rates of human immunodeficiency virus (HIV)/sexually transmitted disease (STD) risk behaviors. However, existing interventions aimed at reducing adolescent HIV risk behavior have rarely targeted these vulnerable young adolescents, and many approaches focus on individual-level change without attention to family or contextual influences. We describe a new, family-based HIV/ STD prevention model that embeds HIV/STD focused multifamily groups within an adolescent drug abuse and delinquency evidence-based treatment, Multidimensional Family Therapy (MDFT). The approach has been evaluated in a multisite randomized clinical trial with juvenile justice involved youths in the National Institute on Drug Abuse Criminal Justice Drug Abuse Treatment Studies (www.cjdats.org). Preliminary baseline to 6-month outcomes are promising. We describe research on family risk and protective factors for adolescent problem behaviors, and offer a rationale for family-based approaches to reduce HIV/STD risk in this population. We describe the development and implementation of the Multidimensional Family Therapy HIV/STD risk-reduction intervention (MDFT-HIV/ STD) in terms of using multifamily groups and their integration in standard MDFT and also offers a clinical vignette. The potential significance of this empirically based intervention development work is high; MDFT-HIV/STD is the first model to address largely unmet HIV/STD prevention and sexual health needs of substance abusing juvenile offenders within the context of a family-oriented evidence-based intervention.

Declining vulnerability to river floods and the global benefits of adaptation.

PubMed

Jongman, Brenden; Winsemius, Hessel C; Aerts, Jeroen C J H; Coughlan de Perez, Erin; van Aalst, Maarten K; Kron, Wolfgang; Ward, Philip J

2015-05-05

The global impacts of river floods are substantial and rising. Effective adaptation to the increasing risks requires an in-depth understanding of the physical and socioeconomic drivers of risk. Whereas the modeling of flood hazard and exposure has improved greatly, compelling evidence on spatiotemporal patterns in vulnerability of societies around the world is still lacking. Due to this knowledge gap, the effects of vulnerability on global flood risk are not fully understood, and future projections of fatalities and losses available today are based on simplistic assumptions or do not include vulnerability. We show for the first time (to our knowledge) that trends and fluctuations in vulnerability to river floods around the world can be estimated by dynamic high-resolution modeling of flood hazard and exposure. We find that rising per-capita income coincided with a global decline in vulnerability between 1980 and 2010, which is reflected in decreasing mortality and losses as a share of the people and gross domestic product exposed to inundation. The results also demonstrate that vulnerability levels in low- and high-income countries have been converging, due to a relatively strong trend of vulnerability reduction in developing countries. Finally, we present projections of flood losses and fatalities under 100 individual scenario and model combinations, and three possible global vulnerability scenarios. The projections emphasize that materialized flood risk largely results from human behavior and that future risk increases can be largely contained using effective disaster risk reduction strategies.

Risk-based prioritization among air pollution control strategies in the Yangtze River Delta, China.

PubMed

Zhou, Ying; Fu, Joshua S; Zhuang, Guoshun; Levy, Jonathan I

2010-09-01

The Yangtze River Delta (YRD) in China is a densely populated region with recent dramatic increases in energy consumption and atmospheric emissions. We studied how different emission sectors influence population exposures and the corresponding health risks, to inform air pollution control strategy design. We applied the Community Multiscale Air Quality (CMAQ) Modeling System to model the marginal contribution to baseline concentrations from different sectors. We focused on nitrogen oxide (NOx) control while considering other pollutants that affect fine particulate matter [aerodynamic diameter < or = 2.5 mum (PM2.5)] and ozone concentrations. We developed concentration-response (C-R) functions for PM2.5 and ozone mortality for China to evaluate the anticipated health benefits. In the YRD, health benefits per ton of emission reductions varied significantly across pollutants, with reductions of primary PM2.5 from the industry sector and mobile sources showing the greatest benefits of 0.1 fewer deaths per year per ton of emission reduction. Combining estimates of health benefits per ton with potential emission reductions, the greatest mortality reduction of 12,000 fewer deaths per year [95% confidence interval (CI), 1,200-24,000] was associated with controlling primary PM2.5 emissions from the industry sector and reducing sulfur dioxide (SO2) from the power sector, respectively. Benefits were lower for reducing NOx emissions given lower consequent reductions in the formation of secondary PM2.5 (compared with SO2) and increases in ozone concentrations that would result in the YRD. Although uncertainties related to C-R functions are significant, the estimated health benefits of emission reductions in the YRD are substantial, especially for sectors and pollutants with both higher health benefits per unit emission reductions and large potential for emission reductions.

Behavioral Couples Treatment for Substance Use Disorder: Secondary Effects on the Reduction of Risk for Child Abuse

PubMed Central

Kelley, Michelle L.; Bravo, Adrian J.; Braitman, Abby L.; Lawless, Adrienne K.; Lawrence, Hannah R.

2015-01-01

Risk for child abuse was examined prior to and after Behavioral Couples Treatment (BCT) among 61 couples in which one or both parents were diagnosed with substance use disorder (SUD). All couples were residing with one or more school-age children. Mothers and fathers completed pretreatment, post-intervention, and 6-month post-intervention follow-up assessments. Results of piecewise latent growth models tested whether the number of BCT sessions attended and number of days abstinent from drugs and alcohol influenced relationship satisfaction and its growth over time, and in turn if relationship satisfaction and change in relationship satisfaction influenced risk for child abuse. For both mothers and fathers, attending more BCT sessions lead to a direct increase in relationship satisfaction, which in turn led to stronger reductions in risk for child abuse. This effect was maintained from the post-intervention though the 6-month post-intervention follow-up. For fathers, number of days abstinent significantly influenced reduction in child abuse potential at post-intervention via relationship satisfaction. This indirect effect was not present for mothers. The overall benefits of BCT on mothers’ and fathers’ risk for child abuse suggest that BCT may have promise in reducing risk for child abuse among couples in which one or both parents have SUD. PMID:26742725

The impact of parent involvement in an effective adolescent risk reduction intervention on sexual risk communication and adolescent outcomes

PubMed Central

Wang, Bo; Stanton, Bonita; Deveaux, Lynette; Li, Xiaoming; Koci, Veronica; Lunn, Sonja

2014-01-01

Parent involvement in prevention efforts targeting adolescents increases the impact of such programs. However, the majority of risk-reduction intervention programs that are implemented through schools do not include parents, in part because most existing parental interventions require significant time commitment by parents. We designed a brief parent-adolescent sexual risk communication intervention to be delivered with an effective HIV prevention intervention as part of a randomized, controlled trial among 2564 grade 10 students and their parents in The Bahamas. Mixed effects modeling analysis was conducted to evaluate the effect of the brief parent-adolescent communication intervention using four waves of longitudinal data. Results indicate that a brief parent-adolescent communication intervention is effective in improving parent-adolescent communication on sex-related issues and perceived parental monitoring as well as the youth's condom use skills and self-efficacy. There is a marginal effect on consistent condom use. In addition, there is an apparent dose effect of the brief parent intervention on perceived parent-adolescent sexual risk communication and adolescent outcomes. These findings suggest that adolescent risk reduction interventions should include a brief parent-adolescent communication intervention which should be reinforced by periodic boosters in order to enhance the impact of adolescent HIV prevention programs. PMID:25490732

The impact of parent involvement in an effective adolescent risk reduction intervention on sexual risk communication and adolescent outcomes.

PubMed

Wang, Bo; Stanton, Bonita; Deveaux, Lynette; Li, Xiaoming; Koci, Veronica; Lunn, Sonja

2014-12-01

Parent involvement in prevention efforts targeting adolescents increases the impact of such programs. However, the majority of risk-reduction intervention programs that are implemented through schools do not include parents, in part because most existing parental interventions require significant time commitment by parents. We designed a brief parent-adolescent sexual risk communication intervention to be delivered with an effective HIV prevention intervention as part of a randomized, controlled trial among 2,564 grade 10 students and their parents in the Bahamas. Mixed effects modeling analysis was conducted to evaluate the effect of the brief parent-adolescent communication intervention using four waves of longitudinal data. Results indicate that a brief parent-adolescent communication intervention is effective in improving parent-adolescent communication on sex-related issues and perceived parental monitoring as well as the youth's condom use skills and self-efficacy. There is a marginal effect on consistent condom use. In addition, there is an apparent dose effect of the brief parent intervention on perceived parent-adolescent sexual risk communication and adolescent outcomes. These findings suggest that adolescent risk reduction interventions should include a brief parent-adolescent communication intervention that should be reinforced by periodic boosters in order to enhance the impact of adolescent HIV prevention programs.

Downscaling Pest Risk Analyses: Identifying Current and Future Potentially Suitable Habitats for Parthenium hysterophorus with Particular Reference to Europe and North Africa

PubMed Central

Kriticos, Darren J.; Brunel, Sarah; Ota, Noboru; Fried, Guillaume; Oude Lansink, Alfons G. J. M.; Panetta, F. Dane; Prasad, T. V. Ramachandra; Shabbir, Asad; Yaacoby, Tuvia

2015-01-01

Pest Risk Assessments (PRAs) routinely employ climatic niche models to identify endangered areas. Typically, these models consider only climatic factors, ignoring the ‘Swiss Cheese’ nature of species ranges due to the interplay of climatic and habitat factors. As part of a PRA conducted for the European and Mediterranean Plant Protection Organization, we developed a climatic niche model for Parthenium hysterophorus, explicitly including the effects of irrigation where it was known to be practiced. We then downscaled the climatic risk model using two different methods to identify the suitable habitat types: expert opinion (following the EPPO PRA guidelines) and inferred from the global spatial distribution. The PRA revealed a substantial risk to the EPPO region and Central and Western Africa, highlighting the desirability of avoiding an invasion by P. hysterophorus. We also consider the effects of climate change on the modelled risks. The climate change scenario indicated the risk of substantial further spread of P. hysterophorus in temperate northern hemisphere regions (North America, Europe and the northern Middle East), and also high elevation equatorial regions (Western Brazil, Central Africa, and South East Asia) if minimum temperatures increase substantially. Downscaling the climate model using habitat factors resulted in substantial (approximately 22–53%) reductions in the areas estimated to be endangered. Applying expert assessments as to suitable habitat classes resulted in the greatest reduction in the estimated endangered area, whereas inferring suitable habitats factors from distribution data identified more land use classes and a larger endangered area. Despite some scaling issues with using a globally conformal Land Use Systems dataset, the inferential downscaling method shows promise as a routine addition to the PRA toolkit, as either a direct model component, or simply as a means of better informing an expert assessment of the suitable habitat types. PMID:26325680

Assessment on the pedestrian risk during floods based on numerical simulation - A case study in Jinan City

NASA Astrophysics Data System (ADS)

Cheng, T.; Xu, Z.; Hong, S.

2017-12-01

Flood disasters frequently attack the urban area in Jinan City during past years, and the city is faced with severe road flooding which greatly threaten pedestrians' safety. Therefore, it is of great significance to investigate the pedestrian risk during floods under specific topographic condition. In this study, a model coupled hydrological and hydrodynamic processes is developed in the study area to simulate the flood routing process on the road for the "7.18" rainstorm and validated with post-disaster damage survey information. The risk of pedestrian is estimated with a flood risk assessment model. The result shows that the coupled model performs well in the rainstorm flood process. On the basis of the simulation result, the areas with extreme risk, medium risk, and mild risk are identified, respectively. Regions with high risk are generally located near the mountain front area with steep slopes. This study will provide scientific support for the flood control and disaster reduction in Jinan City.

Promoting social inclusion in schools: a group-randomized trial of effects on student health risk behavior and well-being.

PubMed

Patton, George C; Bond, Lyndal; Carlin, John B; Thomas, Lyndal; Butler, Helen; Glover, Sara; Catalano, Richard; Bowes, Glenn

2006-09-01

We sought to test the efficacy of an intervention that was designed to promote social inclusion and commitment to education, in reducing among students health risk behaviors and improving emotional well-being. The design was a cluster-randomized trial in 25 secondary schools in Victoria, Australia. The subjects were 8th-grade students (aged 13 to 14 y) in 1997 (n=2545) and subsequent 8th-grade students in 1999 (n=2586) and 2001 (n=2463). The main outcomes were recent substance use, antisocial behavior, initiation of sexual intercourse, and depressive symptoms. At 4-year follow-up, the prevalence of marked health risk behaviors was approximately 20% in schools in the comparison group and 15% in schools in the intervention group, an overall reduction of 25%. In ordinal logistic regression models a protective effect of intervention was found for a composite measure of health risk behaviors in unadjusted models (odds ratio [OR]= 0.69; 95% confidence interval [CI]= 0.50, 0.95) and adjusted models (OR= 0.71; CI =0.52, 0.97) for potential confounders. There was no evidence of a reduction in depressive symptoms. The study provides support for prevention strategies in schools that move beyond health education to promoting positive social environments.

In-Situ Resource Utilization (ISRU) Development Program

NASA Technical Reports Server (NTRS)

Sanders, Jerry

1998-01-01

The question "Why In-Situ Resource Utilization (ISRU)?" is addressed in this presentation. The reasons given concentrate on Cost reduction, Mass reduction, Risk reduction, the expansion of human exploration and presence and the enabling of industrial exploitation. A review of the Martian and Lunar resources available for ISRU is presented. Other ISRU concepts (i.e., In-Situ Consumable production (ISCP) and In-Situ Propellant Production (ISPP)) are introduced and further explained. The objectives of a Mars ISRU System Technology (MIST) include (1) the characterization of technology and subsystem performance for mission modeling and technology funding planning, (2) reduce risk and concerns arising from sample return and human missions utilizing ISRU, and (3) demonstrate the environmental suitability of ISRU components/processes and systems. A proof of concept demonstration schedule and a facility overview for MIST is presented.

AIDS susceptibility in a migrant population: perception and behavior.

PubMed

McBride, D C; Weatherby, N L; Inciardi, J A; Gillespie, S A

1999-01-01

Within the framework of the Health Belief Model, this paper examines correlates of perception of AIDS susceptibility among 846 drug-using migrant farm workers and their sex partners. Significant but relatively small differences by ethnicity and gender were found. The data showed a consistent significant statistical relationship between frequency of drug use, high-risk sexual behavior, and perception of AIDS susceptibility. Perception of AIDS susceptibility was significantly related to a subsequent reduction in sexual risk behaviors. Consistent with the Health Belief Model, the data suggest that increasing perception of AIDS susceptibility may be an important motivator in reducing high-risk behaviors.

Alendronate for fracture prevention in postmenopause.

PubMed

Holder, Kathryn K; Kerley, Sara Shelton

2008-09-01

Osteoporosis is an abnormal reduction in bone mass and bone deterioration leading to increased fracture risk. Alendronate (Fosamax) belongs to the bisphosphonate class of drugs, which act to inhibit bone resorption by interfering with the activity of osteoclasts. To assess the effectiveness of alendronate in the primary and secondary prevention of osteoporotic fractures in postmenopausal women. The authors searched Central, Medline, and EMBASE for relevant randomized controlled trials published from 1966 to 2007. The authors undertook study selection and data abstraction in duplicate. The authors performed meta-analysis of fracture outcomes using relative risks, and a relative change greater than 15 percent was considered clinically important. The authors assessed study quality through reporting of allocation concealment, blinding, and withdrawals. Eleven trials representing 12,068 women were included in the review. Relative and absolute risk reductions for the 10-mg dose were as follows. For vertebral fractures, a 45 percent relative risk reduction was found (relative risk [RR] = 0.55; 95% confidence interval [CI], 0.45 to 0.67). This was significant for primary prevention, with a 45 percent relative risk reduction (RR = 0.55; 95% CI, 0.38 to 0.80) and 2 percent absolute risk reduction; and for secondary prevention, with 45 percent relative risk reduction (RR = 0.55; 95% CI, 0.43 to 0.69) and 6 percent absolute risk reduction. For nonvertebral fractures, a 16 percent relative risk reduction was found (RR = 0.84; 95% CI, 0.74 to 0.94). This was significant for secondary prevention, with a 23 percent relative risk reduction (RR = 0.77; 95% CI, 0.64 to 0.92) and a 2 percent absolute risk reduction, but not for primary prevention (RR = 0.89; 95% CI, 0.76 to 1.04). There was a 40 percent relative risk reduction in hip fractures (RR = 0.60; 95% CI, 0.40 to 0.92), but only secondary prevention was significant, with a 53 percent relative risk reduction (RR = 0.47; 95% CI, 0.26 to 0.85) and a 1 percent absolute risk reduction. The only significance found for wrist fractures was in secondary prevention, with a 50 percent relative risk reduction (RR = 0.50; 95% CI, 0.34 to 0.73) and a 2 percent absolute risk reduction. For adverse events, the authors found no statistically significant difference in any included study. However, observational data raise concerns about potential risk for upper gastrointestinal injury and, less commonly, osteonecrosis of the jaw. At 10 mg of alendronate per day, clinically important and statistically significant reductions in vertebral, nonvertebral, hip, and wrist fractures were observed for secondary prevention. The authors found no statistically significant results for primary prevention, with the exception of vertebral fractures, for which the reduction was clinically important.

Reduction of hexavalent chromium by fasted and fed human gastric fluid. II. Ex vivo gastric reduction modeling

DOE Office of Scientific and Technical Information (OSTI.GOV)

Kirman, Christopher R., E-mail: ckirman@summittoxi

To extend previous models of hexavalent chromium [Cr(VI)] reduction by gastric fluid (GF), ex vivo experiments were conducted to address data gaps and limitations identified with respect to (1) GF dilution in the model; (2) reduction of Cr(VI) in fed human GF samples; (3) the number of Cr(VI) reduction pools present in human GF under fed, fasted, and proton pump inhibitor (PPI)-use conditions; and (4) an appropriate form for the pH-dependence of Cr(VI) reduction rate constants. Rates and capacities of Cr(VI) reduction were characterized in gastric contents from fed and fasted volunteers, and from fasted pre-operative patients treated with PPIs.more » Reduction capacities were first estimated over a 4-h reduction period. Once reduction capacity was established, a dual-spike approach was used in speciated isotope dilution mass spectrometry analyses to characterize the concentration-dependence of the 2nd order reduction rate constants. These data, when combined with previously collected data, were well described by a three-pool model (pool 1 = fast reaction with low capacity; pool 2 = slow reaction with higher capacity; pool 3 = very slow reaction with higher capacity) using pH-dependent rate constants characterized by a piecewise, log-linear relationship. These data indicate that human gastric samples, like those collected from rats and mice, contain multiple pools of reducing agents, and low concentrations of Cr(VI) (< 0.7 mg/L) are reduced more rapidly than high concentrations. The data and revised modeling results herein provide improved characterization of Cr(VI) gastric reduction kinetics, critical for Cr(VI) pharmacokinetic modeling and human health risk assessment. - Highlights: • SIDMS allows for measurement of Cr(VI) reduction rate in gastric fluid ex vivo • Human gastric fluid has three reducing pools • Cr(VI) in drinking water at < 0.7 mg/L is rapidly reduced in human gastric fluid • Reduction rate is concentration- and pH-dependent • A refined PK model is used to characterize inter-individual variability in Cr(VI) gastric reduction capacity.« less

Impact of a reduced red and processed meat dietary pattern on disease risks and greenhouse gas emissions in the UK: a modelling study.

PubMed

Aston, Louise M; Smith, James N; Powles, John W

2012-01-01

Consumption of red and processed meat (RPM) is a leading contributor to greenhouse gas (GHG) emissions, and high intakes of these foods increase the risks of several leading chronic diseases. The aim of this study was to use newly derived estimates of habitual meat intakes in UK adults to assess potential co-benefits to health and the environment from reduced RPM consumption. Modelling study using dietary intake data from the National Diet and Nutrition Survey of British Adults. British general population. Respondents were divided into fifths by energy-adjusted RPM intakes, with vegetarians constituting a sixth stratum. GHG emitted in supplying the diets of each stratum was estimated using data from life-cycle analyses. A feasible counterfactual UK population was specified, in which the proportion of vegetarians measured in the survey population doubled, and the remainder adopted the dietary pattern of the lowest fifth of RPM consumers. Reductions in risks of coronary heart disease, diabetes and colorectal cancer, and GHG emissions, under the counterfactual. Habitual RPM intakes were 2.5 times higher in the top compared with the bottom fifth of consumers. Under the counterfactual, statistically significant reductions in population aggregate risks ranged from 3.2% (95% CI 1.9 to 4.7) for diabetes in women to 12.2% (6.4 to 18.0) for colorectal cancer in men, with those moving from the highest to lowest consumption levels gaining about twice these averages. The expected reduction in GHG emissions was 0.45 tonnes CO(2) equivalent/person/year, about 3% of the current total, giving a reduction across the UK population of 27.8 million tonnes/year. Reduced consumption of RPM would bring multiple benefits to health and environment.

Evaluating the impact of prioritization of antiretroviral pre-exposure prophylaxis (PrEP) in New York City

PubMed Central

Kessler, Jason; Myers, Julie E.; Nucifora, Kimberly A.; Mensah, Nana; Toohey, Christopher; Khademi, Amin; Cutler, Blayne; Braithwaite, R. Scott

2015-01-01

Objective To compare the value and effectiveness of different prioritization strategies of pre-exposure prophylaxis (PrEP) in New York City (NYC). Design Mathematical modeling utilized as clinical trial is not feasible. Methods Using a model accounting for both sexual and parenteral transmission of HIV we compare different prioritization strategies (PPS) for PrEP to two scenarios—no PrEP and PrEP for all susceptible at-risk individuals. The PPS included PrEP for all MSM, only high-risk MSM, high-risk heterosexuals, and injection drug users, and all combinations of these four strategies. Outcomes included HIV infections averted, and incremental cost effectiveness (per-infection averted) ratios. Initial assumptions regarding PrEP included a 44% reduction in HIV transmission, 50% uptake in the prioritized population and an annual cost per person of $9,762. Sensitivity analyses on key parameters were conducted. Results Prioritization to all MSM results in a 19% reduction in new HIV infections. Compared to PrEP for all persons at-risk this PPS retains 79% of the preventative effect at 15% of the total cost. PrEP prioritized to only high-risk MSM results in a reduction in new HIV infections of 15%. This PPS retains 60% of the preventative effect at 6% of the total cost. There are diminishing returns when PrEP utilization is expanded beyond this group. Conclusions PrEP implementation is relatively cost-inefficient under our initial assumptions. Our results suggest that PrEP should first be promoted among MSM who are at particularly high-risk of HIV acquisition. Further expansion beyond this group may be cost-effective, but is unlikely to be cost-saving. PMID:25493594

41 CFR 102-80.50 - Are Federal agencies responsible for identifying/estimating risks and for appropriate risk...

Code of Federal Regulations, 2010 CFR

2010-07-01

... identify and estimate safety and environmental management risks and appropriate risk reduction strategies... responsible for identifying/estimating risks and for appropriate risk reduction strategies? 102-80.50 Section... Environmental Management Risks and Risk Reduction Strategies § 102-80.50 Are Federal agencies responsible for...

Risk Prediction Score for HIV Infection: Development and Internal Validation with Cross-Sectional Data from Men Who Have Sex with Men in China.

PubMed

Yin, Lu; Zhao, Yuejuan; Peratikos, Meridith Blevins; Song, Liang; Zhang, Xiangjun; Xin, Ruolei; Sun, Zheya; Xu, Yunan; Zhang, Li; Hu, Yifei; Hao, Chun; Ruan, Yuhua; Shao, Yiming; Vermund, Sten H; Qian, Han-Zhu

2018-05-21

Receptive anal intercourse, multiple partners, condomless sex, sexually transmitted infections (STIs), and drug/alcohol addiction are familiar factors that correlate with increased human immunodeficiency virus (HIV) risk among men who have sex with men (MSM). To improve estimation to HIV acquisition, we created a composite score using questions from routine survey of 3588 MSM in Beijing, China. The HIV prevalence was 13.4%. A risk scoring tool using penalized maximum likelihood multivariable logistic regression modeling was developed, deploying backward step-down variable selection to obtain a reduced-form model. The full penalized model included 19 sexual predictors, while the reduced-form model had 12 predictors. Both models calibrated well; bootstrap-corrected c-indices were 0.70 (full model) and 0.71 (reduced-form model). Non-Beijing residence, short-term living in Beijing, illegal drug use, multiple male sexual partners, receptive anal sex, inconsistent condom use, alcohol consumption before sex, and syphilis infection were the strongest predictors of HIV infection. Discriminating higher-risk MSM for targeted HIV prevention programming using a validated risk score could improve the efficiency of resource deployment for educational and risk reduction programs. A valid risk score can also identify higher risk persons into prevention and vaccine clinical trials, which would improve trial cost-efficiency.

Cascade reservoir flood control operation based on risk grading and warning in the Upper Yellow River

NASA Astrophysics Data System (ADS)

Xuejiao, M.; Chang, J.; Wang, Y.

2017-12-01

Flood risk reduction with non-engineering measures has become the main idea for flood management. It is more effective for flood risk management to take various non-engineering measures. In this paper, a flood control operation model for cascade reservoirs in the Upper Yellow River was proposed to lower the flood risk of the water system with multi-reservoir by combining the reservoir flood control operation (RFCO) and flood early warning together. Specifically, a discharge control chart was employed to build the joint RFCO simulation model for cascade reservoirs in the Upper Yellow River. And entropy-weighted fuzzy comprehensive evaluation method was adopted to establish a multi-factorial risk assessment model for flood warning grade. Furthermore, after determining the implementing mode of countermeasures with future inflow, an intelligent optimization algorithm was used to solve the optimization model for applicable water release scheme. In addition, another model without any countermeasure was set to be a comparative experiment. The results show that the model developed in this paper can further decrease the flood risk of water system with cascade reservoirs. It provides a new approach to flood risk management by coupling flood control operation and flood early warning of cascade reservoirs.

Effectiveness and cost effectiveness of cardiovascular disease prevention in whole populations: modelling study.

PubMed

Barton, Pelham; Andronis, Lazaros; Briggs, Andrew; McPherson, Klim; Capewell, Simon

2011-07-28

To estimate the potential cost effectiveness of a population-wide risk factor reduction programme aimed at preventing cardiovascular disease. Economic modelling analysis. England and Wales. Population Entire population. Model Spreadsheet model to quantify the reduction in cardiovascular disease over a decade, assuming the benefits apply consistently for men and women across age and risk groups. Cardiovascular events avoided, quality adjusted life years gained, and savings in healthcare costs for a given effectiveness; estimates of how much it would be worth spending to achieve a specific outcome. A programme across the entire population of England and Wales (about 50 million people) that reduced cardiovascular events by just 1% would result in savings to the health service worth at least £30m (€34m; $48m) a year compared with no additional intervention. Reducing mean cholesterol concentrations or blood pressure levels in the population by 5% (as already achieved by similar interventions in some other countries) would result in annual savings worth at least £80m to £100m. Legislation or other measures to reduce dietary salt intake by 3 g/day (current mean intake approximately 8.5 g/day) would prevent approximately 30,000 cardiovascular events, with savings worth at least £40m a year. Legislation to reduce intake of industrial trans fatty acid by approximately 0.5% of total energy content might gain around 570,000 life years and generate NHS savings worth at least £230m a year. Any intervention that achieved even a modest population-wide reduction in any major cardiovascular risk factor would produce a net cost saving to the NHS, as well as improving health. Given the conservative assumptions used in this model, the true benefits would probably be greater.

Estimating benefits of past, current, and future reductions in smoking rates using a comprehensive model with competing causes of death.

PubMed

van Meijgaard, Jeroen; Fielding, Jonathan E

2012-01-01

Despite years of declining smoking prevalence, tobacco use is still the leading preventable contributor to illness and death in the United States, and the effect of past tobacco-use control efforts has not fully translated into improvements in health outcomes. The objective of this study was to use a life course model with multiple competing causes of death to elucidate the ongoing benefits of tobacco-use control efforts on US death rates. We used a continuous-time life course simulation model for the US population. We modeled smoking initiation and cessation and 20 leading causes of death as competing risks over the life span, with the risk of death for each cause dependent on past and current smoking status. Risk parameters were estimated using data from the National Health Interview Survey that were linked to follow-up mortality data. Up to 14% (9% for men, 14% for women) of the total gain in life expectancy since 1960 was due to tobacco-use control efforts. Past efforts are expected to further increase life expectancy by 0.9 years for women and 1.3 years for men. Additional reduction in smoking prevalence may eventually yield an average 3.4-year increase in life expectancy in the United States. Coronary heart disease is expected to increase as a share of total deaths. A dynamic individual-level model with multiple causes of death supports assessment of the delayed benefits of improved tobacco-use control efforts. We show that past smoking reduction efforts will translate into further increases in life expectancy in the coming years. Smoking will remain a major contributor to preventable illness and death, worthy of continued interventions.

Applying the Land Use Portfolio Model to Estimate Natural-Hazard Loss and Risk - A Hypothetical Demonstration for Ventura County, California

USGS Publications Warehouse

Dinitz, Laura B.

2008-01-01

With costs of natural disasters skyrocketing and populations increasingly settling in areas vulnerable to natural hazards, society is challenged to better allocate its limited risk-reduction resources. In 2000, Congress passed the Disaster Mitigation Act, amending the Robert T. Stafford Disaster Relief and Emergency Assistance Act (Robert T. Stafford Disaster Relief and Emergency Assistance Act, Pub. L. 93-288, 1988; Federal Emergency Management Agency, 2002, 2008b; Disaster Mitigation Act, 2000), mandating that State, local, and tribal communities prepare natural-hazard mitigation plans to qualify for pre-disaster mitigation grants and post-disaster aid. The Federal Emergency Management Agency (FEMA) was assigned to coordinate and implement hazard-mitigation programs, and it published information about specific mitigation-plan requirements and the mechanisms (through the Hazard Mitigation Grant Program-HMGP) for distributing funds (Federal Emergency Management Agency, 2002). FEMA requires that each community develop a mitigation strategy outlining long-term goals to reduce natural-hazard vulnerability, mitigation objectives and specific actions to reduce the impacts of natural hazards, and an implementation plan for those actions. The implementation plan should explain methods for prioritizing, implementing, and administering the actions, along with a 'cost-benefit review' justifying the prioritization. FEMA, along with the National Institute of Building Sciences (NIBS), supported the development of HAZUS ('Hazards U.S.'), a geospatial natural-hazards loss-estimation tool, to help communities quantify potential losses and to aid in the selection and prioritization of mitigation actions. HAZUS was expanded to a multiple-hazard version, HAZUS-MH, that combines population, building, and natural-hazard science and economic data and models to estimate physical damages, replacement costs, and business interruption for specific natural-hazard scenarios. HAZUS-MH currently performs analyses for earthquakes, floods, and hurricane wind. HAZUS-MH loss estimates, however, do not account for some uncertainties associated with the specific natural-hazard scenarios, such as the likelihood of occurrence within a particular time horizon or the effectiveness of alternative risk-reduction options. Because of the uncertainties involved, it is challenging to make informative decisions about how to cost-effectively reduce risk from natural-hazard events. Risk analysis is one approach that decision-makers can use to evaluate alternative risk-reduction choices when outcomes are unknown. The Land Use Portfolio Model (LUPM), developed by the U.S. Geological Survey (USGS), is a geospatial scenario-based tool that incorporates hazard-event uncertainties to support risk analysis. The LUPM offers an approach to estimate and compare risks and returns from investments in risk-reduction measures. This paper describes and demonstrates a hypothetical application of the LUPM for Ventura County, California, and examines the challenges involved in developing decision tools that provide quantitative methods to estimate losses and analyze risk from natural hazards.

Gynecologic surgeries and risk of ovarian cancer in women with BRCA1 and BRCA2 Ashkenazi founder mutations: an Israeli population-based case-control study.

PubMed

Rutter, Joni L; Wacholder, Sholom; Chetrit, Angela; Lubin, Flora; Menczer, Joseph; Ebbers, Sarah; Tucker, Margaret A; Struewing, Jeffery P; Hartge, Patricia

2003-07-16

In the general population, the risk of developing ovarian cancer is reduced in women who have undergone tubal ligation, hysterectomy, or oophorectomy, although peritoneal cancer can arise after bilateral oophorectomy. In studies from genetic screening clinics, women with mutations in the breast and ovarian susceptibility genes BRCA1 and BRCA2 have been found to have a low risk of peritoneal carcinoma in the first years after bilateral oophorectomy. We assessed the level and persistence of reduction of ovarian (including peritoneal) cancer risk after gynecologic surgeries for women who carry BRCA1/2 mutations but were not selected from high-risk clinics. We identified 1124 Israeli women with incident ovarian cancer or primary peritoneal cancer and tested 847 of them for the three Ashkenazi founder mutations. We compared gynecologic surgery history among all case patients, BRCA1 (n = 187) and BRCA2 (n = 64) carrier case patients, and the non-carrier case patients (n = 598) with that in control subjects drawn from a population registry (n = 2396). We estimated ovarian cancer risk (odds ratios [ORs] with 95% confidence intervals [CIs]) after gynecologic surgery in mutation carriers and non-carriers with logistic regression models. Eight women with primary peritoneal cancer and 128 control subjects reported a previous bilateral oophorectomy (OR = 0.12, 95% CI = 0.06 to 0.24). Other gynecologic surgeries were associated with a 30%-50% reduced risk of ovarian cancer, depending on the type of surgery, with surgery to remove some ovarian tissue associated with the most risk reduction (OR = 0.34, 95% CI = 0.16 to 0.74). Reduced risks were seen in BRCA1/2 carriers and non-carriers. Age at surgery and years since surgery did not affect risk reductions. Both BRCA1/2 mutation carriers and non-carriers have reduced risk of ovarian or peritoneal cancer after gynecologic surgery. The magnitude of the reduction depends upon the type and extent of surgery.

Moderation and Mediation of an Efficacious Sexual Risk-Reduction Intervention for South African Adolescents

PubMed Central

O’Leary, Ann; Jemmott, John B.; Jemmott, Loretta Sweet; Bellamy, Scarlett; Ngwane, Zolani; Icard, Larry

2015-01-01

Background “Let Us Protect Our Future” is a sexual risk-reduction intervention for sixth-grade adolescents in South Africa. Tested in a cluster-randomized controlled trial, the intervention significantly reduced self-reported intercourse and unprotected intercourse during a 12-month follow-up period. Purpose The present analyses were conducted to identify moderators of the intervention’s efficacy as well as which theory-based variables mediated the intervention’s effects. Methods: Intervention efficacy over the 3-, 6-, and 12-month follow-ups was tested using generalized estimating equation (GEE) models. Results Living with their father in the home, parental strictness, and religiosity moderated the efficacy of the intervention in reducing unprotected intercourse. Self-efficacy to avoid risky situations and expected parental disapproval of their having intercourse, derived from Social Cognitive Theory, significantly mediated the intervention’s effect on abstinence. Conclusions This is the first study to demonstrate that Social Cognitive variables mediate the efficacy of a sexual risk-reduction intervention among South African adolescents. PMID:22618963

A Risk-based Assessment And Management Framework For Multipollutant Air Quality

PubMed Central

Frey, H. Christopher; Hubbell, Bryan

2010-01-01

The National Research Council recommended both a risk- and performance-based multipollutant approach to air quality management. Specifically, management decisions should be based on minimizing the exposure to, and risk of adverse effects from, multiple sources of air pollution and that the success of these decisions should be measured by how well they achieved this objective. We briefly describe risk analysis and its application within the current approach to air quality management. Recommendations are made as to how current practice could evolve to support a fully risk- and performance-based multipollutant air quality management system. The ability to implement a risk assessment framework in a credible and policy-relevant manner depends on the availability of component models and data which are scientifically sound and developed with an understanding of their application in integrated assessments. The same can be said about accountability assessments used to evaluate the outcomes of decisions made using such frameworks. The existing risk analysis framework, although typically applied to individual pollutants, is conceptually well suited for analyzing multipollutant management actions. Many elements of this framework, such as emissions and air quality modeling, already exist with multipollutant characteristics. However, the framework needs to be supported with information on exposure and concentration response relationships that result from multipollutant health studies. Because the causal chain that links management actions to emission reductions, air quality improvements, exposure reductions and health outcomes is parallel between prospective risk analyses and retrospective accountability assessments, both types of assessment should be placed within a single framework with common metrics and indicators where possible. Improvements in risk reductions can be obtained by adopting a multipollutant risk analysis framework within the current air quality management system, e.g. focused on standards for individual pollutants and with separate goals for air toxics and ambient pollutants. However, additional improvements may be possible if goals and actions are defined in terms of risk metrics that are comparable across criteria pollutants and air toxics (hazardous air pollutants), and that encompass both human health and ecological risks. PMID:21209847

Comparison of Experimental Surface and Flow Field Measurements to Computational Results of the Juncture Flow Model

NASA Technical Reports Server (NTRS)

Roozeboom, Nettie H.; Lee, Henry C.; Simurda, Laura J.; Zilliac, Gregory G.; Pulliam, Thomas H.

2016-01-01

Wing-body juncture flow fields on commercial aircraft configurations are challenging to compute accurately. The NASA Advanced Air Vehicle Program's juncture flow committee is designing an experiment to provide data to improve Computational Fluid Dynamics (CFD) modeling in the juncture flow region. Preliminary design of the model was done using CFD, yet CFD tends to over-predict the separation in the juncture flow region. Risk reduction wind tunnel tests were requisitioned by the committee to obtain a better understanding of the flow characteristics of the designed models. NASA Ames Research Center's Fluid Mechanics Lab performed one of the risk reduction tests. The results of one case, accompanied by CFD simulations, are presented in this paper. Experimental results suggest the wall mounted wind tunnel model produces a thicker boundary layer on the fuselage than the CFD predictions, resulting in a larger wing horseshoe vortex suppressing the side of body separation in the juncture flow region. Compared to experimental results, CFD predicts a thinner boundary layer on the fuselage generates a weaker wing horseshoe vortex resulting in a larger side of body separation.

Algorithms for the prediction of retinopathy of prematurity based on postnatal weight gain.

PubMed

Binenbaum, Gil

2013-06-01

Current ROP screening guidelines represent a simple risk model with two dichotomized factors, birth weight and gestational age at birth. Pioneering work has shown that tracking postnatal weight gain, a surrogate for low insulin-like growth factor 1, may capture the influence of many other ROP risk factors and improve risk prediction. Models including weight gain, such as WINROP, ROPScore, and CHOP ROP, have demonstrated accurate ROP risk assessment and a potentially large reduction in ROP examinations, compared to current guidelines. However, there is a need for larger studies, and generalizability is limited in countries with developing neonatal care systems. Copyright © 2013 Elsevier Inc. All rights reserved.

Estimates of Commercial Population at High Risk for Cardiovascular Events: Impact of Aggressive Cholesterol Reduction

PubMed Central

Fitch, Kathryn; Goldberg, Sara W.; Iwasaki, Kosuke; Pyenson, Bruce S.; Kuznik, Andreas; Solomon, Henry A.

2009-01-01

Objectives To model the financial and health outcomes impact of intensive statin therapy compared with usual care in a high-risk working-age population (actively employed, commercially insured health plan members and their adult dependents). The target population consists of working-age people who are considered high-risk for cardiovascular disease events because of a history of coronary heart disease. Study Design Three-year event forecast for a sample population generated from the National Health and Nutrition Examination Survey data. Methods Using Framingham risk scoring system, the probability of myocardial infarction or stroke events was calculated for a representative sample population, ages 35 to 69 years, of people at high risk for cardiovascular disease, with a history of coronary heart disease. The probability of events for each individual was used to project the number of events expected to be generated for this population. Reductions in cardiovascular and stroke events reported in clinical trials with aggressive statin therapy were applied to these cohorts. We used medical claims data to model the cohorts' event costs. All results are adjusted to reflect the demographics of a typical working-age population. Results The high-risk cohort (those with coronary heart disease) comprises 4% of the 35- to 69-year-old commercially insured population but generates 22% of the risk for coronary heart disease and stroke. Reduced event rates associated with intensive statin therapy yielded a $58 mean medical cost reduction per treated person per month; a typical payer cost for a 30-day supply of intensive statin therapy is approximately $57. Conclusions Aggressive low-density lipoprotein cholesterol–lowering therapy for working-age people at high risk for cardiovascular events and with a history of heart disease appears to have a significant potential to reduce the rate of clinical events and is cost-neutral for payers. PMID:25126293

The economic impact of project MARS (motivating adolescents to reduce sexual risk).

PubMed

Dealy, Bern C; Horn, Brady P; Callahan, Tiffany J; Bryan, Angela D

2013-09-01

The purpose of this study was to economically evaluate Project MARS (Motivating Adolescents to Reduce Sexual Risk; T. J. Callahan, E. A. Montanaro, R. E. Magnan, & A. D. Bryan, 2013, "Project MARS: Design of a multi-behavior intervention trial for justice-involved youth," Translational Behavioral Medicine, Vol. 3, pp. 122-130), an ongoing, randomized, sexual-risk-reduction intervention for justice-involved youth. We consider the effect of including viral STIs in the economic analysis, and explore the impact of the MARS intervention on the perceived cost of acquiring STIs to justice-involved youth. 206 participants, ages 14 to 18, participated in a sexual-risk-reduction intervention that included screening and treatment for chlamydia and gonorrhea. A Bernoulli probability model was used to estimate averted STIs attributable to the MARS intervention. The economic benefit of averted STIs was monetized using the direct medical cost of treatment. In addition, we used a contingent valuation (willingness-to-pay) model to investigate the impact of the Project MARS on participants' perceived cost of acquiring an STI. Using the standard outcome domains typically used to evaluate STI interventions, Project MARS resulted in a reduction of $2.08 in direct medical costs for every $1 spent. When viral STIs were added to the economic model, a considerable increase in averted direct medical costs ($2.68 for every $1 spent) was found. Preliminary contingent valuation estimates suggest that participants' willingness-to-pay for averted STIs significantly increased after receiving the MARS intervention. From an economic perspective, Project MARS is a worthwhile program to adopt. Future attention should be given to the impact of behavioral interventions on viral infections. PsycINFO Database Record (c) 2013 APA, all rights reserved.

Modeling a 15-min extravehicular activity prebreathe protocol using NASA's exploration atmosphere (56.5 kPa/34% O2)

NASA Astrophysics Data System (ADS)

Abercromby, Andrew F. J.; Conkin, Johnny; Gernhardt, Michael L.

2015-04-01

NASA's plans for future human exploration missions utilize a new atmosphere of 56.5 kPa (8.2 psia), 34% O2, 66% N2 to enable rapid extravehicular activity (EVA) capability with minimal gas losses; however, existing EVA prebreathe protocols to mitigate risk of decompression sickness (DCS) are not applicable to the new exploration atmosphere. We provide preliminary analysis of a 15-min prebreathe protocol and examine the potential benefits of intermittent recompression (IR) and an abbreviated N2 purge on crew time and gas consumables usage. A probabilistic model of decompression stress based on an established biophysical model of DCS risk was developed, providing significant (p<0.0001) prediction and goodness-of-fit with 84 cases of DCS in 668 human altitude exposures including a variety of pressure profiles. DCS risk for a 15-min prebreathe protocol was then estimated under different exploration EVA scenarios. Estimated DCS risk for all EVA scenarios modeled using the 15-min prebreathe protocol ranged between 6.1% and 12.1%. Supersaturation in neurological tissues (5- and 10-min half-time compartments) is prevented and tissue tensions in faster half-time compartments (≤40 min), where the majority of whole-body N2 is located, are reduced to about the levels (30.0 vs. 27.6 kPa) achieved during a standard Shuttle prebreathe protocol. IR reduced estimated DCS risk from 9.7% to 7.9% (1.8% reduction) and from 8.4% to 6.1% (2.3% reduction) for the scenarios modeled; the penalty of N2 reuptake during IR may be outweighed by the benefit of decreased bubble size. Savings of 75% of purge gas and time (0.22 kg gas and 6 min of crew time per person per EVA) are achievable by abbreviating the EVA suit purge to 20% N2 vs. 5% N2 at the expense of an increase in estimated DCS risk from 9.7% to 12.1% (2.4% increase). A 15-min prebreathe protocol appears feasible using the new exploration atmosphere. IR between EVAs may enable reductions in suit purge and prebreathe requirements, decompression stress, and/or suit operating pressures. Ground trial validation is required before operational implementation.

Insurance, Public Assistance, and Household Flood Risk Reduction: A Comparative Study of Austria, England, and Romania.

PubMed

Hanger, Susanne; Linnerooth-Bayer, Joanne; Surminski, Swenja; Nenciu-Posner, Cristina; Lorant, Anna; Ionescu, Radu; Patt, Anthony

2018-04-01

In light of increasing losses from floods, many researchers and policymakers are looking for ways to encourage flood risk reduction among communities, business, and households. In this study, we investigate risk-reduction behavior at the household level in three European Union Member States with fundamentally different insurance and compensation schemes. We try to understand if and how insurance and public assistance influence private risk-reduction behavior. Data were collected using a telephone survey (n = 1,849) of household decisionmakers in flood-prone areas. We show that insurance overall is positively associated with private risk-reduction behavior. Warranties, premium discounts, and information provision with respect to risk reduction may be an explanation for this positive relationship in the case of structural measures. Public incentives for risk-reduction measures by means of financial and in-kind support, and particularly through the provision of information, are also associated with enhancing risk reduction. In this study, public compensation is not negatively associated with private risk-reduction behavior. This does not disprove such a relationship, but the negative effect may be mitigated by factors related to respondents' capacity to implement measures or social norms that were not included in the analysis. The data suggest that large-scale flood protection infrastructure creates a sense of security that is associated with a lower level of preparedness. Across the board there is ample room to improve both public and private policies to provide effective incentives for household-level risk reduction. © 2017 The Authors Risk Analysis published by Wiley Periodicals, Inc. on behalf of Society for Risk Analysis.

Impact of the Prevention Plan on Employee Health Risk Reduction

PubMed Central

Edington, Dee W.; Bég, Sami

2010-01-01

Abstract This study evaluated the impact of The Prevention Plan™ on employee health risks after 1 year of integrated primary prevention (wellness and health promotion) and secondary prevention (biometric and lab screening as well as early detection) interventions. The Prevention Plan is an innovative prevention benefit that provides members with the high-tech/high-touch support and encouragement they need to adopt healthy behaviors. Support services include 24/7 nurse hotlines, one-on-one health coaching, contests, group events, and employer incentives. Specifically, we analyzed changes in 15 health risk measures among a cohort of 2606 employees from multiple employer groups who completed a baseline health risk appraisal, blood tests, and biometric screening in 2008 and who were reassessed in 2009. We then compared the data to the Edington Natural Flow of risks. The cohort showed significant reduction in 10 of the health risks measured (9 at P ≤ 0.01 and 1 at P ≤ 0.05). The most noticeable changes in health risks were a reduction in the proportion of employees with high-risk blood pressure (42.78%), high-risk fasting blood sugar (31.13%), and high-risk stress (24.94%). There was an overall health risk transition among the cohort with net movement from higher risk levels to lower risk levels (P < 0.01). There was a net increase of 9.40% of people in the low-risk category, a decrease of 3.61% in the moderate-risk category, and a 5.79% decrease in the high-risk category. Compared to Edington's Natural Flow model, 48.70% of individuals in the high-risk category moved from high risk to moderate risk (Natural Flow 31%), 46.35% moved from moderate risk to low risk (Natural Flow 35%), 15.65% moved from high risk to low risk (Natural Flow 6%), and 87.33% remained in the low-risk category (Natural Flow 70%) (P < 0.001). (Population Health Management 2010;13:275–284) PMID:20879909

Impact of the prevention plan on employee health risk reduction.

PubMed

Loeppke, Ronald; Edington, Dee W; Bég, Sami

2010-10-01

This study evaluated the impact of The Prevention Plan™ on employee health risks after 1 year of integrated primary prevention (wellness and health promotion) and secondary prevention (biometric and lab screening as well as early detection) interventions. The Prevention Plan is an innovative prevention benefit that provides members with the high-tech/high-touch support and encouragement they need to adopt healthy behaviors. Support services include 24/7 nurse hotlines, one-on-one health coaching, contests, group events, and employer incentives. Specifically, we analyzed changes in 15 health risk measures among a cohort of 2606 employees from multiple employer groups who completed a baseline health risk appraisal, blood tests, and biometric screening in 2008 and who were reassessed in 2009. We then compared the data to the Edington Natural Flow of risks. The cohort showed significant reduction in 10 of the health risks measured (9 at P≤ 0.01 and 1 at P≤0.05). The most noticeable changes in health risks were a reduction in the proportion of employees with high-risk blood pressure (42.78%), high-risk fasting blood sugar (31.13%), and high-risk stress (24.94%). There was an overall health risk transition among the cohort with net movement from higher risk levels to lower risk levels (P<0.01). There was a net increase of 9.40% of people in the low-risk category, a decrease of 3.61% in the moderate-risk category, and a 5.79% decrease in the high-risk category. Compared to Edington's Natural Flow model, 48.70% of individuals in the high-risk category moved from high risk to moderate risk (Natural Flow 31%), 46.35% moved from moderate risk to low risk (Natural Flow 35%), 15.65% moved from high risk to low risk (Natural Flow 6%), and 87.33% remained in the low-risk category (Natural Flow 70%) (P<0.001).

Culturally Grounded Stress Reduction and Suicide Prevention for African American Adolescents

PubMed Central

Robinson, W. LaVome; Case, Mary H.; Whipple, Christopher R.; Gooden, Adia S.; Lopez-Tamayo, Roberto; Lambert, Sharon F.; Jason, Leonard A.

2016-01-01

Suicide is an often-overlooked manifestation of violence among African American youth that has become more prevalent in the last two decades. This article reports on the process used to culturally adapt a cognitive-behavioral coping with stress prevention intervention for African American adolescents. We implemented this adapted school-based suicide prevention intervention with 758 African American 9th, 10th and 11th grade students at four high schools in a large Midwestern city. The findings presented are preliminary. The adolescents in this sample endorsed high levels of suicide risk, with females endorsing significantly more suicide risk than males. Those receiving the prevention intervention evidenced an 86% relative suicide risk reduction, compared to the standard care control participants. The presented model of adaptation and resulting culturally-grounded suicide prevention intervention significantly reduced suicide risk among African American adolescents. Clinical, research and policy implications are discussed. PMID:27517094

Economic assessment of home-based COPD management programs.

PubMed

Liu, Sheena Xin; Lee, Michael C; Atakhorrami, Maryam; Tatousek, Jan; McCormack, Meredith; Yung, Rex; Hart, Nicholas; White, David P

2013-12-01

Home-based exacerbation management programs have been proposed as an approach to reducing the clinical and financial burden of COPD. We demonstrate a framework to evaluate such programs in order to guide program design and performance decisions towards optimizing cost and clinical outcomes. This study models the impact of hypothetical exacerbation management programs through probabilistic Markov simulations. Patients were stratified by risk using exacerbation rates from the ECLIPSE study and expert opinion. Three scenarios were modeled, using base, worst and best case parameters to suggest potential telehealth program performance. In these scenarios, acute exacerbations could be detected early, with sensitivity and specificity ranging from 60-90%. Detected acute exacerbations could be diverted to either a sub-acute pathway (12.5-50% probability), thus entirely avoiding hospitalization, or a lower cost pathway through length-of-stay reduction (14-28% reduction). For a cohort of patients without prior hospitalization, the base case telehealth scenario results in a cumulative per-patient lifetime savings of $2.9 K over ≈ 12 years. For a higher risk cohort of patients with a prior admission and 1 to 2 acute exacerbations per year, a cumulative $16K per patient was saved during the remaining ≈ 3 life-years. Acceptable prices for home-based exacerbation detection testing were highly dependent on patient risk and scenario, but ranged from $290-$1263 per month for the highest risk groups. These results suggest the economic viability of exacerbation management programs and highlight the importance of risk stratification in such programs. The presented model can further be adapted to model specific programs as trial data becomes available.

Workers' compensation loss prevention representative contact and risk of lost-time injury in construction policyholders.

PubMed

Schofield, Katherine E; Alexander, Bruce H; Gerberich, Susan G; MacLehose, Richard F

2017-09-01

Insurance loss prevention (LP) representatives have access and contact with businesses and employees to provide targeted safety and health resources. Construction firms, especially those smaller in size, are a high-risk population. This research evaluated the association between LP rep contact and risk for lost-time injuries in construction policyholders. Workers' compensation data were utilized to track LP rep contact with policyholders and incidence of lost-time injury over time. Survival analysis with repeated events modeling calculated hazard ratios (HR) and 95% confidence intervals (CI). Compared no LP contact, one contact was associated with a 27% reduction of risk (HR=0.73, CI=0.65-0.82), two with a 41% (HR=0.59, CI=0.51-0.68), and three or more contacts with a 28% reduction of risk (HR=0.72, CI=0.65-0.81). LP reps appear to be a valuable partner in efforts to reduce injury burden. Their presence or contact with policyholders is consistent with reduction in overall incidence of lost-time injuries. Reduction in lost-time injuries, resulting in reduced workers' compensation costs for policyholders and insurance companies, builds a business-case for safety and injury prevention. LP reps are often a low or no-cost benefit for insurance policyholders and may be an important injury prevention resource for small firms and/or those with lack of safety resources and staff. Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.

Probiotic Supplementation in Preterm Infants Does Not Affect the Risk of Bronchopulmonary Dysplasia: A Meta-Analysis of Randomized Controlled Trials

PubMed Central

Mosca, Fabio; Kramer, Boris

2017-01-01

Probiotic supplementation reduces the risk of necrotizing enterocolitis (NEC) and late-onset sepsis (LOS) in preterm infants, but it remains to be determined whether this reduction translates into a reduction of other complications. We conducted a systematic review and meta-analysis to evaluate the possible role of probiotics in altering the risk of bronchopulmonary dysplasia (BPD). Fifteen randomized controlled trials (4782 infants; probiotics: 2406) were included. None of the included studies assessed BPD as the primary outcome. Meta-analysis confirmed a significant reduction of NEC (risk ratio (RR) 0.52, 95% confidence interval (CI) 0.33 to 0.81, p = 0.004; random effects model), and an almost significant reduction of LOS (RR 0.82, 95% CI 0.65 to 1.03, p = 0.084). In contrast, meta-analysis could not demonstrate a significant effect of probiotics on BPD, defined either as oxygen dependency at 28 days of life (RR 1.01, 95% CI 0.91 to 1.11, p = 0.900, 6 studies) or at 36 weeks of postmenstrual age (RR 1.07, 95% CI 0.96 to 1.20, p = 0.203, 12 studies). Meta-regression did not show any significant association between the RR for NEC or LOS and the RR for BPD. In conclusion, our results suggest that NEC and LOS prevention by probiotics does not affect the risk of developing BPD in preterm infants. PMID:29088103

Sensitivity Analysis of Median Lifetime on Radiation Risks Estimates for Cancer and Circulatory Disease amongst Never-Smokers

NASA Technical Reports Server (NTRS)

Chappell, Lori J.; Cucinotta, Francis A.

2011-01-01

Radiation risks are estimated in a competing risk formalism where age or time after exposure estimates of increased risks for cancer and circulatory diseases are folded with a probability to survive to a given age. The survival function, also called the life-table, changes with calendar year, gender, smoking status and other demographic variables. An outstanding problem in risk estimation is the method of risk transfer between exposed populations and a second population where risks are to be estimated. Approaches used to transfer risks are based on: 1) Multiplicative risk transfer models -proportional to background disease rates. 2) Additive risk transfer model -risks independent of background rates. In addition, a Mixture model is often considered where the multiplicative and additive transfer assumptions are given weighted contributions. We studied the influence of the survival probability on the risk of exposure induced cancer and circulatory disease morbidity and mortality in the Multiplicative transfer model and the Mixture model. Risks for never-smokers (NS) compared to the average U.S. population are estimated to be reduced between 30% and 60% dependent on model assumptions. Lung cancer is the major contributor to the reduction for NS, with additional contributions from circulatory diseases and cancers of the stomach, liver, bladder, oral cavity, esophagus, colon, a portion of the solid cancer remainder, and leukemia. Greater improvements in risk estimates for NS s are possible, and would be dependent on improved understanding of risk transfer models, and elucidating the role of space radiation on the various stages of disease formation (e.g. initiation, promotion, and progression).

Relationships among trust in messages, risk perception, and risk reduction preferences based upon avian influenza in Taiwan.

PubMed

Fang, David; Fang, Chen-Ling; Tsai, Bi-Kun; Lan, Li-Chi; Hsu, Wen-Shan

2012-08-01

Improvements in communications technology enable consumers to receive information through diverse channels. In the case of avian influenza, information repeated by the mass media socially amplifies the consumer awareness of risks. Facing indeterminate risks, consumers may feel anxious and increase their risk perception. When consumers trust the information published by the media, their uncertainty toward avian influenza may decrease. Consumers might take some actions to reduce risk. Therefore, this study focuses on relationships among trust in messages, risk perception and risk reduction preferences. This study administered 525 random samples and consumer survey questionnaires in different city of Taiwan in 2007. Through statistical analysis, the results demonstrate: (1) the higher the trust consumers have in messages about avian influenza, the lower their risk perceptions are; (2) the higher the consumers' risk perceptions are and, therefore, the higher their desired level of risk reductive, the more likely they are to accept risk reduction strategies; (3) consumer attributes such as age, education level, and marital status correlate with significant differences in risk perception and risk reduction preferences acceptance. Gender has significant differences only in risk reduction preferences and not in risk perception.

Relationships among Trust in Messages, Risk Perception, and Risk Reduction Preferences Based upon Avian Influenza in Taiwan

PubMed Central

Fang, David; Fang, Chen-Ling; Tsai, Bi-Kun; Lan, Li-Chi; Hsu, Wen-Shan

2012-01-01

Improvements in communications technology enable consumers to receive information through diverse channels. In the case of avian influenza, information repeated by the mass media socially amplifies the consumer awareness of risks. Facing indeterminate risks, consumers may feel anxious and increase their risk perception. When consumers trust the information published by the media, their uncertainty toward avian influenza may decrease. Consumers might take some actions to reduce risk. Therefore, this study focuses on relationships among trust in messages, risk perception and risk reduction preferences. This study administered 525 random samples and consumer survey questionnaires in different city of Taiwan in 2007. Through statistical analysis, the results demonstrate: (1) the higher the trust consumers have in messages about avian influenza, the lower their risk perceptions are; (2) the higher the consumers’ risk perceptions are and, therefore, the higher their desired level of risk reductive, the more likely they are to accept risk reduction strategies; (3) consumer attributes such as age, education level, and marital status correlate with significant differences in risk perception and risk reduction preferences acceptance. Gender has significant differences only in risk reduction preferences and not in risk perception. PMID:23066394

Effect of Accounting for Crash Severity on the Relationship between Mass Reduction and Crash Frequency and Risk per Crash

DOE Office of Scientific and Technical Information (OSTI.GOV)

Wenzel, Tom P.

2016-05-20

Previous analyses have indicated that mass reduction is associated with an increase in crash frequency (crashes per VMT), but a decrease in fatality or casualty risk once a crash has occurred, across all types of light-duty vehicles. These results are counter-intuitive: one would expect that lighter, and perhaps smaller, vehicles have better handling and shorter braking distances, and thus should be able to avoid crashes that heavier vehicles cannot. And one would expect that heavier vehicles would have lower risk once a crash has occurred than lighter vehicles. However, these trends occur under several alternative regression model specifications. This reportmore » tests whether these results continue to hold after accounting for crash severity, by excluding crashes that result in relatively minor damage to the vehicle(s) involved in the crash. Excluding non-severe crashes from the initial LBNL Phase 2 and simultaneous two-stage regression models for the most part has little effect on the unexpected relationships observed in the baseline regression models. This finding suggests that other subtle differences in vehicles and/or their drivers, or perhaps biases in the data reported in state crash databases, are causing the unexpected results from the regression models.« less

Interdisciplinary modeling and analysis to reduce loss of life from tsunamis

NASA Astrophysics Data System (ADS)

Wood, N. J.

2016-12-01

Recent disasters have demonstrated the significant loss of life and community impacts that can occur from tsunamis. Minimizing future losses requires an integrated understanding of the range of potential tsunami threats, how individuals are specifically vulnerable to these threats, what is currently in place to improve their chances of survival, and what risk-reduction efforts could be implemented. This presentation will provide a holistic perspective of USGS research enabled by recent advances in geospatial modeling to assess and communicate population vulnerability to tsunamis and the range of possible interventions to reduce it. Integrated research includes efforts to characterize the magnitude and demography of at-risk individuals in tsunami-hazard zones, their evacuation potential based on landscape conditions, nature-based mitigation to improve evacuation potential, evacuation pathways and population demand at assembly areas, siting considerations for vertical-evacuation refuges, community implications of multiple evacuation zones, car-based evacuation modeling for distant tsunamis, and projected changes in population exposure to tsunamis over time. Collectively, this interdisciplinary research supports emergency managers in their efforts to implement targeted risk-reduction efforts based on local conditions and needs, instead of generic regional strategies that only focus on hazard attributes.

A randomized trial of peer coach and office staff support to reduce coronary heart disease risk in African-Americans with uncontrolled hypertension.

PubMed

Turner, Barbara J; Hollenbeak, Christopher S; Liang, Yuanyuan; Pandit, Kavita; Joseph, Shelly; Weiner, Mark G

2012-10-01

Adopting features of the Chronic Care Model may reduce coronary heart disease risk and blood pressure in vulnerable populations. We evaluated a peer and practice team intervention on reduction in 4-year coronary heart disease risk and systolic blood pressure. A single blind, randomized, controlled trial in two adjacent urban university-affiliated primary care practices. Two hundred eighty African-American subjects aged 40 to 75 with uncontrolled hypertension. Three monthly calls from trained peer patients with well-controlled hypertension and, on alternate months, two practice staff visits to review a personalized 4-year heart disease risk calculator and slide shows about heart disease risks. All subjects received usual physician care and brochures about healthy cooking and heart disease. Change in 4-year coronary heart disease risk (primary) and change in systolic blood pressure, both assessed at 6 months. At baseline, the 136 intervention and 144 control subjects' mean 4-year coronary heart disease risk did not differ (intervention=5.8 % and control=6.4 %, P=0.39), and their mean systolic blood pressure was the same (140.5 mmHg, p=0.83). Endpoint data for coronary heart disease were obtained for 69 % of intervention and 82 % of control subjects. After multiple imputation for missing endpoint data, the reduction in risk among all 280 subjects favored the intervention, but was not statistically significant (difference -0.73 %, 95 % confidence interval: -1.54 % to 0.09 %, p=0.08). Among the 247 subjects with a systolic blood pressure endpoint (85 % of intervention and 91 % of control subjects), more intervention than control subjects achieved a >5 mmHg reduction (61 % versus 45 %, respectively, p=0.01). After multiple imputation, the absolute reduction in systolic blood pressure was also greater for the intervention group (difference -6.47 mmHg, 95 % confidence interval: -10.69 to -2.25, P=0.003). One patient died in each study arm. Peer patient and office-based behavioral support for African-American patients with uncontrolled hypertension did not result in a significantly greater reduction in coronary heart disease risk but did significantly reduce systolic blood pressure.

Fault tree analysis for integrated and probabilistic risk analysis of drinking water systems.

PubMed

Lindhe, Andreas; Rosén, Lars; Norberg, Tommy; Bergstedt, Olof

2009-04-01

Drinking water systems are vulnerable and subject to a wide range of risks. To avoid sub-optimisation of risk-reduction options, risk analyses need to include the entire drinking water system, from source to tap. Such an integrated approach demands tools that are able to model interactions between different events. Fault tree analysis is a risk estimation tool with the ability to model interactions between events. Using fault tree analysis on an integrated level, a probabilistic risk analysis of a large drinking water system in Sweden was carried out. The primary aims of the study were: (1) to develop a method for integrated and probabilistic risk analysis of entire drinking water systems; and (2) to evaluate the applicability of Customer Minutes Lost (CML) as a measure of risk. The analysis included situations where no water is delivered to the consumer (quantity failure) and situations where water is delivered but does not comply with water quality standards (quality failure). Hard data as well as expert judgements were used to estimate probabilities of events and uncertainties in the estimates. The calculations were performed using Monte Carlo simulations. CML is shown to be a useful measure of risks associated with drinking water systems. The method presented provides information on risk levels, probabilities of failure, failure rates and downtimes of the system. This information is available for the entire system as well as its different sub-systems. Furthermore, the method enables comparison of the results with performance targets and acceptable levels of risk. The method thus facilitates integrated risk analysis and consequently helps decision-makers to minimise sub-optimisation of risk-reduction options.

The effects of a mass media HIV-risk reduction strategy on HIV-related stigma and knowledge among African American adolescents.

PubMed

Kerr, Jelani C; Valois, Robert F; DiClemente, Ralph J; Carey, Michael P; Stanton, Bonita; Romer, Daniel; Fletcher, Faith; Farber, Naomi; Brown, Larry K; Vanable, Peter A; Salazar, Laura F; Juzang, Ivan; Fortune, Thierry

2015-03-01

HIV-related stigma undermines HIV prevention, testing, and treatment. Multipronged risk-reduction strategies may reduce stigma among African American adolescents. To test the effectiveness of a risk-reduction strategy in addressing stigma, 1613 African American adolescents from four mid-sized cities participated in a randomized control trial. Participants received a sexual-risk reduction [Focus on Youth (FOY)] or general health curriculum [Promoting Health Among Teens (PHAT)]. Two cities received a culturally-tailored media intervention. Participants completed baseline, 3-, 6-, and 12-month surveys to measure HIV-related stigma and knowledge. Analysis of covariance tested for stigma and knowledge differences by media city status and curriculum/media city status (PHAT media vs. PHAT non-media, FOY media vs. FOY non-media; FOY media vs. PHAT media; FOY non-media vs. PHAT non-media) at each measurement. Hierarchical linear modeling (HLM) determined stigma and knowledge differences over time. Media participants demonstrated greater HIV-related knowledge (p<0.10) at 6 months and lower stigma at 3 months (p<0.10). FOY media participants had lower 3-month (p<0.05) and 12-month (p<0.10) stigma scores than non-media FOY participants. FOY media and non-media participants had greater knowledge than PHAT for all intervals after baseline. FOY media had lower stigma than PHAT media after baseline for all intervals after baseline. HLM indicated greater knowledge slopes for the media group (p<0.05). FOY media participants had greater knowledge slopes (p<0.05) relative to non-media FOY participants and media PHAT participants (p<0.01). A combination of a HIV risk-reduction curriculum and culturally-tailored media demonstrated some effectiveness in reducing stigma. Future use of media in HIV-prevention should include and evaluate effects on stigma.

Is hepatitis C virus elimination possible among people living with HIV and what will it take to achieve it?

PubMed

Martin, Natasha K; Boerekamps, Anne; Hill, Andrew M; Rijnders, Bart J A

2018-04-01

The World Health Organization targets for hepatitis C virus (HCV) elimination include a 90% reduction in new infections by 2030. Our objective is to review the modelling evidence and cost data surrounding feasibility of HCV elimination among people living with HIV (PLWH), and identify likely components for elimination. We also discuss the real-world experience of HCV direct acting antiviral (DAA) scale-up and elimination efforts in the Netherlands. We review modelling evidence of what intervention scale-up is required to achieve WHO HCV elimination targets among HIV-infected (HIV+) people who inject drugs (PWID) and men who have sex with men (MSM), review cost-effectiveness of HCV therapy among PLWH and discuss economic implications of elimination. We additionally use the real-world experience of DAA scale-up in the Netherlands to illustrate the promise and potential challenges of HCV elimination strategies in MSM. Finally, we summarize key components of the HCV elimination response among PWLH. Modelling indicates HCV elimination among HIV+ MSM and PWID is potentially achievable but requires combination treatment and either harm reduction or behavioural risk reductions. Preliminary modelling indicates elimination among HIV+ PWID will require elimination efforts among PWID more broadly. Treatment for PLWH and high-risk populations (PWID and MSM) is cost-effective in high-income countries, but costs of DAAs remain a barrier to scale-up worldwide despite the potential low production price ($50 per 12 week course). In the Netherlands, universal DAA availability led to rapid uptake among HIV+ MSM in 2015/16, and a 50% reduction in acute HCV incidence among HIV+ MSM from 2014 to 2016 was observed. In addition to HCV treatment, elimination among PLWH globally also likely requires regular HCV testing, development of low-cost accurate HCV diagnostics, reduced costs of DAA therapy, broad treatment access without restrictions, close monitoring for HCV reinfection and retreatment, and harm reduction and/or behavioural interventions. Achieving WHO HCV Elimination targets is potentially achievable among HIV-infected populations. Among HIV+ PWID, it likely requires HCV treatment scale-up combined with harm reduction for both HIV+ and HIV- populations. Among HIV+ MSM, elimination likely requires both HCV treatment and behaviour risk reduction among the HIV+ MSM population, the latter of which to date has not been observed. Lower HCV diagnostic and treatment costs will be key to ensuring scale-up of HCV testing and treatment without restriction, enabling elimination. © 2018 The Authors. Journal of the International AIDS Society published by John Wiley & sons Ltd on behalf of the International AIDS Society.

Probabilistic Risk Assessment for Astronaut Post Flight Bone Fracture

NASA Technical Reports Server (NTRS)

Lewandowski, Beth; Myers, Jerry; Licata, Angelo

2015-01-01

Introduction: Space flight potentially reduces the loading that bone can resist before fracture. This reduction in bone integrity may result from a combination of factors, the most common reported as reduction in astronaut BMD. Although evaluating the condition of bones continues to be a critical aspect of understanding space flight fracture risk, defining the loading regime, whether on earth, in microgravity, or in reduced gravity on a planetary surface, remains a significant component of estimating the fracture risks to astronauts. This presentation summarizes the concepts, development, and application of NASA's Bone Fracture Risk Module (BFxRM) to understanding pre-, post, and in mission astronaut bone fracture risk. The overview includes an assessment of contributing factors utilized in the BFxRM and illustrates how new information, such as biomechanics of space suit design or better understanding of post flight activities may influence astronaut fracture risk. Opportunities for the bone mineral research community to contribute to future model development are also discussed. Methods: To investigate the conditions in which spaceflight induced changes to bone plays a critical role in post-flight fracture probability, we implement a modified version of the NASA Bone Fracture Risk Model (BFxRM). Modifications included incorporation of variations in physiological characteristics, post-flight recovery rate, and variations in lateral fall conditions within the probabilistic simulation parameter space. The modeled fracture probability estimates for different loading scenarios at preflight and at 0 and 365 days post-flight time periods are compared. Results: For simple lateral side falls, mean post-flight fracture probability is elevated over mean preflight fracture probability due to spaceflight induced BMD loss and is not fully recovered at 365 days post-flight. In the case of more energetic falls, such as from elevated heights or with the addition of lateral movement, the contribution of space flight quality changes is much less clear, indicating more granular assessments, such as Finite Element modeling, may be needed to further assess the risks in these scenarios.

Linearity and Nonlinearity in HIV/STI Transmission: Implications for the Evaluation of Sexual Risk Reduction Interventions

ERIC Educational Resources Information Center

Pinkerton, Steven D.; Chesson, Harrell W.; Crosby, Richard A.; Layde, Peter M.

2011-01-01

A mathematical model of HIV/sexually transmitted infections (STI) transmission was used to examine how linearity or nonlinearity in the relationship between the number of unprotected sex acts (or the number of sex partners) and the risk of acquiring HIV or a highly infectious STI (such as gonorrhea or chlamydia) affects the utility of sexual…

Effects of the "plate model" as part of dietary intervention on modification of selected cardiometabolic risk factors in post-myocardial infarction patients: study protocol for a randomized controlled trial.

PubMed

Jayawardena, Ranil; Fernando, Pasindu; Lokunarangoda, Niroshan; Pathirana, Anidu Keerthi

2017-07-10

Cardiovascular disease remains the leading cause of morbidity and mortality worldwide, and there is a rising global burden. The effects of diet on cardiometabolic risk factors have been studied extensively. Healthy eating as a cost-effective approach to risk reduction in post-myocardial infarction patients is proven to be beneficial, and the "plate model" is one of the practical methods to achieve this objective. The study will be conducted as a randomized, single-blind, controlled clinical trial for a period of 3 months. A total of 120 overweight (body mass index >23 kg/m 2 ) inpatients (aged 20-70 years) with a history of troponin-positive acute coronary syndrome (ACS) within the 1 month preceding the study will be recruited. Simple randomization will be used in participant allocation. The intervention group will receive the model plate diet. The control group will be provided with routine dietary advice. Other domains, such as advice on exercise and lifestyle modification, will be equalized among patients in both the groups. The visits and evaluations will be done at recruitment (visit 0), 4 weeks, and 12 weeks after the intervention. The primary outcome will be a mean body weight reduction of 10%, and the secondary outcomes will include mean reduction of systolic and diastolic blood pressure, improvement of anthropometric parameters, and improvement of lipid profile and liver enzymes in the test group compared with the control group at 12 weeks following the plate model diet. This study protocol is designed to establish the effects of the plate model diet on modification of cardiometabolic risk factors in patients with ACS. This will also be a pioneering study designed to investigate the practicality of the model plate in local settings and in the South Asian region. Sri Lanka Clinical Trials Registry identifier: SLCTR/2016/22. Registered on 22 September 2016 ( http://www.slctr.lk/trials/483 ).

An evaluation of the 25 by 25 goal for premature cardiovascular disease mortality in Taiwan: an age-period-cohort analysis, population attributable fraction and national population-based study.

PubMed

Su, Shih-Yung; Lee, Wen-Chung; Chen, Tzu-Ting; Wang, Hao-Chien; Su, Ta-Chen; Jeng, Jiann-Shing; Tu, Yu-Kang; Liao, Shu-Fen; Lu, Tzu-Pin; Chien, Kuo-Liong

2017-01-01

The aim of the 25 by 25 goal is to reduce mortality from premature non-communicable diseases by 25% before 2025. Studies have evaluated the 25 by 25 goal in many countries, but not in Taiwan. The aim of this study was to estimate the 25 by 25 goal for premature mortality from cardiovascular diseases in Taiwan. We applied the age-period-cohort model to project the incidence of premature death from cardiovascular disease from 2015 to 2024 and used the population attributable fraction to estimate the contributions of targeted risk factors. The probability of death was used to estimate the percent change. The percent change in business-as-usual trend during 2010-2024 was only a 6% (range 1.7-10.7%) lower risk of premature mortality from cardiovascular disease among men. The greatest reduction in the risk of mortality occurred with a 30% reduction in the prevalence of smoking; however, there was only a 14.5% (10.6-18.3%) decrease in percent change and in the corresponding number of men (3706: range 3543-3868) who were prevented from dying. More than a 25% reduction in the percent change of premature cardiovascular disease mortality among women was achieved without control of any risk factor. To reach a 25% reduction in men before 2025, there needs to be a 70% reduction in the prevalence of smoking to reduce mortality by 26.2% (22.9-29.3%). Cigarette smoking is the primary target in the prevention of cardiovascular disease. Through the stringent control of smoking, the goal of a 25% reduction in premature mortality from cardiovascular disease may be achieved before 2025 in Taiwan.

Risk Assessment of Maize Drought Disaster in Agro-Pastoral Transitional Zone in North China

NASA Astrophysics Data System (ADS)

Jia, H.; Pan, D.

2017-12-01

Agricultural drought is one of the focuses of global concern and one of the natural disasters that affect the agriculture production mostly in China. Farming-pastoral zones in China are located in the monsoon fringe area, precipitation of which is extremely unstable, and drought occurs frequently. The agro-pastoral transitional zone in North China is one of the main producing areas of northern spring maize in northern China, and maize is the second largest grain crop in the region. An assessment of the risk of drought disaster in this region is therefore important in ensuring a reduction in such disasters and an increase in food security. A risk assessment model, EPIC (Environmental Policy Integrated Climate) model, for maize drought disasters based on the Erosion Productivity Impact Calculator crop model is proposed for areas with the topographic characteristics of agro-pastoral transitional zone in North China. The results showed that the hazard risk level for the maize zone of agro-pastoral transitional zone in North China is generally high. Most hazard index values were between 0.4 and 0.5, accounting for 48.77% of total study area. The high-risk areas were mainly distributed in Ordos Plateau (South of Inner Mongolia Autonomous region), South of Ningxia Hui Autonomous Region and Center of Gansu Province. These results provide a scientific basis and support for the reduction of agricultural drought disasters and an increase in food security in the agro-pastoral transitional zone in North China.

Declining vulnerability to river floods and the global benefits of adaptation

NASA Astrophysics Data System (ADS)

Jongman, Brenden; Winsemius, Hessel; Aerts, Jeroen; Coughlan de Perez, Erin; Van Aalst, Maarten; Kron, Wolfgang; Ward, Philip

2016-04-01

The global impacts of river floods are substantial and rising. Effective adaptation to the increasing risks requires an in-depth understanding of the physical and socioeconomic drivers of risk. Whilst the modeling of flood hazard and exposure has improved greatly, compelling evidence on spatiotemporal patterns in vulnerability of societies around the world is lacking. Hence, the effects of vulnerability on global flood risk are not fully understood, and future projections of fatalities and losses available today are based on simplistic assumptions or do not include vulnerability. In this study, we show that trends and fluctuations in vulnerability to river floods around the world can be estimated by dynamic high-resolution modeling of flood hazard and exposure. We show that fatalities and losses as a share of exposed population and gross domestic product are decreasing with rising income. We also show that there is a tendency of convergence in vulnerability levels between low- and high-income countries. Based on these findings, we simulate future flood impacts per country using traditional assumptions of static vulnerability through time, but also using future assumptions on reduced vulnerability in the future. We show that future risk increases can be largely contained using effective disaster risk reduction strategies, including a reduction of vulnerability. The study was carried out using the global flood risk model, GLOFRIS, combined with high-resolution time-series maps of hazard and exposure at the global scale. Based on: Jongman et al., 2015. Proceedings of the National Academy of Sciences of the United States of America, doi:10.1073/pnas.1414439112.

Infection risk and cost-effectiveness of commercial bags or glass bottles for total parenteral nutrition.

PubMed

Durand-Zaleski, I; Delaunay, L; Langeron, O; Belda, E; Astier, A; Brun-Buisson, C

1997-03-01

To determine whether the greater daily expense of administering total parenteral nutrition (TPN) via plastic bags changed once daily, compared to glass bottles changed thrice daily, could be offset by savings from a reduction in nosocomial infections. The costs and potential benefits of commercially available TPN bags and TPN in glass containers were compared. Costs were computed from the viewpoint of the hospital, first in a general model and then for two specific examples, Crohn's disease and intensive-care unit (ICU) patients. The extra cost of using bags was $20 per day. The total cost of nosocomial bacteremia was estimated at $6,000. The monetary benefits of using TPN bags were $6,000XT, where XT was the percentage of nosocomial infections averted. We also considered that reduction in intravenous (IV)-line manipulation could reduce bacteremia-related mortality and computed a cost-per-life-saved ratio. Modeling showed that TPN in bags could yield a net benefit when the absolute reduction in the daily risk of nosocomial bacteremia reached the threshold value of 0.3%. Such a reduction could not be attained in patients with Crohn's disease, and corresponded to a 50% to 60% reduction of infection rates in ICU patients. Varying the risk of mortality attributable to IV-line-related infection from 1% to 13% resulted in a cost effectiveness of using TPN bags ranging from $90,000 to $7,000 per life saved in ICU, assuming a two-thirds reduction in IV-line infections, and from $180,000 to $14,000 if the infection rate was reduced by one third. The baseline cost-minimization analysis concluded that the extra cost of TPN bags was not justified by the extra savings. The cost-effectiveness analysis, however, found that the cost per life saved fell within the accepted range of public health interventions, provided a large fraction of infections are averted using TPN bags.

Megacity Indicator System for Disaster Risk Management in Istanbul (MegaIST)

NASA Astrophysics Data System (ADS)

Yahya Menteşe, Emin; Kılıç, Osman; Baş, Mahmut; Khazai, Bijan; Ergün Konukcu, Betul; Emre Basmacı, Ahmet

2017-04-01

Decision makers need tools to understand the priorities and to set up benchmarks and track progress in their disaster risk reduction activities, so that they can justify their decisions and investments. In this regard, Megacity Indicator System for Disaster Risk Management (MegaIST), is developed in order to be used in disaster risk management studies, for decision makers and managers to establish right strategies and proper risk reduction actions, enhance resource management and investment decisions, set priorities, monitor progress in DRM and validate decisions taken with the aim of helping disaster oriented urban redevelopment, inform investors about risk profile of the city and providing a basis for dissemination and sharing of risk components with related stakeholders; by Directorate of Earthquake and Ground Research of Istanbul Metropolitan Municipality (IMM). MegaIST achieves these goals by analyzing the earthquake risk in three separate but complementary sub-categories consisting of "urban seismic risk, coping capacity and disaster risk management index" in an integrated way. MegaIST model fosters its analyses by presenting the outputs in a simple and user friendly format benefiting from GIS technology that ensures the adoptability of the model's use. Urban seismic risk analysis includes two components, namely; Physical Risk and Social Vulnerability Analysis. Physical risk analysis is based on the possible physical losses (such as building damage, casualties etc.) due to an earthquake while social vulnerability is considered as a factor that increases the results of the physical losses in correlation with the level of education, health, economic status and disaster awareness/preparedness of society. Coping capacity analysis is carried out with the aim of understanding the readiness of the Municipality to respond and recover from a disaster in Istanbul can be defined both in terms of the Municipality's operational capacities - the capacity of the Municipality in terms of the demand on its resources to respond to emergencies and restore services - as well as functional capacities - the policies and planning measures at the Municipality which lead to reduction of risk and protection of people. Disaster Risk Management Index (DRMI) is used as "control system" within the conceptual framework of MegaIST. This index has been developed to understand impact of corporate governance and enforcement structures and policies on total Urban Seismic Risk and in order to make the performance evaluation. Also, DRMI is composed of macro indicators that are developed in order to monitor progress in reducing disaster risk management of institution. They are presented in four broad indicator groups: Legal and Institutional Requirements, Risk Reduction Implementation and Preparedness Activities, Readiness to Respond and Recover, and Strategy and Coordination. As a result; in MegaIST, with the identification and analysis of physical and social vulnerabilities along with coping capacity and disaster risk management performance indicators; an integrated and analytical decision support system has been established to enhance DRM process and reach to a disaster resilient urban environment.

Relative Risk Reduction as a Metric to Standardize Effect Size for Public Heath Interventions for Translational Research: Methods and Applications

PubMed Central

Mirzazadeh, A; Malekinejad, M; Kahn, JG

2018-01-01

Objective Heterogeneity of effect measures in intervention studies undermines the use of evidence to inform policy. Our objective was to develop a comprehensive algorithm to convert all types of effect measures to one standard metric, relative risk reduction (RRR). Study Design and Setting This work was conducted to facilitate synthesis of published intervention effects for our epidemic modeling of the health impact of HIV Testing and Counseling (HTC). We designed and implemented an algorithm to transform varied effect measures to RRR, representing the proportionate reduction in undesirable outcomes. Results Our extraction of 55 HTC studies identified 473 effect measures representing unique combinations of intervention-outcome-population characteristics, using five outcome metrics: pre-post proportion (70.6%), odds ratio (14.0%), mean difference (10.2%), risk ratio (4.4%), and RRR (0.9%). Outcomes were expressed as both desirable (29.5%, e.g., consistent condom use) and undesirable (70.5% e.g., inconsistent condom use). Using four examples, we demonstrate our algorithm for converting varied effect measures to RRR, and provide the conceptual basis for advantages of RRR over other metrics. Conclusion Our review of the literature suggests that RRR, an easily understood and useful metric to convey risk reduction associated with an intervention, is underutilized by original and review studies. PMID:25726522

Vascular protection in peripheral artery disease: systematic review and modelling study.

PubMed

Hackam, D G; Sultan, N M; Criqui, M H

2009-07-01

To ascertain the effectiveness of medical therapy for reducing risk in peripheral artery disease (PAD) and to model the potential impact of combining multiple efficacious approaches. 17 electronic databases, reference lists of primary studies, clinical practice guidelines, review articles, trial registries and conference proceedings from cardiology, vascular surgery and atherosclerosis meetings were screened. Eligible studies were randomized trials or meta-analyses of randomized trials of medical therapy for PAD which reported major cardiovascular events (myocardial infarction, stroke and cardiovascular death). Baseline event rates for modelling analyses were derived from published natural history cohorts. Overall, three strategies had persuasive evidence for reducing risk in PAD: antiplatelet agents (pooled RRR 26%, 95% CI 10 to 42), statins (pooled RRR 26%, 95% CI 18 to 33) and angiotensin-converting enzyme inhibitors (individual trial RRR 25%, 95% CI 8 to 39). The estimated cumulative relative risk reduction for all three strategies was 59% (CI 32 to 76). Given a 5-year major cardiovascular event rate of 25%, the corresponding absolute risk reduction and number needed to treat to prevent one event were 15% (CI 8 to 19) and 7 (CI 5 to 12), respectively. Population level analyses suggest that increased uptake of these modalities could prevent more than 200 000 events in patients with PAD each year. The use of multiple efficacious strategies has the potential to substantially reduce the cardiovascular burden of PAD. However, these data should be regarded as hypothetical, since they are based on mathematical modelling rather than factorial randomized trials.

Applicability of the 2013 ACC/AHA Risk Assessment and Cholesterol Treatment Guidelines in the real world: results from a multiethnic case-control study.

PubMed

Magnoni, Marco; Berteotti, Martina; Norata, Giuseppe Danilo; Limite, Luca Rosario; Peretto, Giovanni; Cristell, Nicole; Maseri, Attilio; Cianflone, Domenico

2016-01-01

The 2013 ACC/AHA cholesterol treatment guidelines have introduced a new cardiovascular risk assessment approach (PCE) and have revisited the threshold for prescribing statins. This study aims to compare the ex ante application of the ACC/AHA and the ATP-III guideline models by using a multiethnic case-control study. ATP-III-FRS and PCE were assessed in 739 patients with first STEMI and 739 age- and gender-matched controls; the proportion of cases and controls that would have been eligible for statin as primary prevention therapy and the discriminatory ability of both models were evaluated. The application of the ACC/AHA compared to the ATP-III model, resulted in an increase in sensitivity [94% (95%CI: 91%-95%) vs. 65% (61%-68%), p< 0.0001], a reduction in specificity [19% (15%-22%) vs. 55% (51%-59%), p< 0.0001] with similar global accuracy [0.56 (0.53-0.59) vs.0.59 (0.57-0.63), p ns]. When stratifying for ethnicity, the accuracy of the ACC/AHA model was higher in Europeans than in Chinese (p = 0.003) and to identified premature STEMI patients within Europeans much better compared to the ATP-III model (p = 0.0289). The application of the ACC/AHA model resulted in a significant reduction of first STEMI patients who would have escaped from preventive treatment. Age and ethnicity affected the accuracy of the ACC/AHA model improving the identification of premature STEMI among Europeans only. Key messages According to the ATP-III guideline model, about one-third of patients with STEMI would not be eligible for primary preventive treatment before STEMI. The application of the new ACC/AHA cholesterol treatment guideline model leads to a significant reduction of the percentage of patients with STEMI who would have been considered at lower risk before the STEMI. The global accuracy of the new ACC/AHA model is higher in the Europeans than in the Chinese and, moreover, among the Europeans, the application of the new ACC/AHA guideline model also improved identification of premature STEMI patients.

[Harm reduction policies in Brazil: contributions of a North American program].

PubMed

Inglez-Dias, Aline; Ribeiro, José Mendes; Bastos, Francisco I; Page, Kimberly

2014-01-01

Given the rapid spread of the HIV epidemic and the need to control its transmission among intravenous drug users (IDU), harm reduction strategies have been incorporated in many countries, including Brazil. Considering these aspects and taking into account the emergence of drugs as a core concern on the government's agenda, especially crack cocaine, this article presents some of the contributions acquired from observing and recording the practices of an American model of research and care for IDUs, namely the UFO (You Find Out) Study. Issues such as participants' access and adherence, financing difficulties, sustainability and outcome evaluation were considered. The study involved documental research, systematic observation and interviews with key informants. Some of the UFO features that could contribute to the formulation of harm reduction policies in Brazil are highlighted. The UFO appears to be a successful example of harm reduction initiatives that successfully contact and guarantee the commitment of that risk group, ensuring its access to health services and reducing risks associated with drug use.

Behavioral Couples Treatment for Substance Use Disorder: Secondary Effects on the Reduction of Risk for Child Abuse.

PubMed

Kelley, Michelle L; Bravo, Adrian J; Braitman, Abby L; Lawless, Adrienne K; Lawrence, Hannah R

2016-03-01

Risk for child abuse was examined prior to and after behavioral couples treatment (BCT) among 61 couples in which one or both parents were diagnosed with substance use disorder (SUD). All couples were residing with one or more school-age children. Mothers and fathers completed pretreatment, post-intervention, and 6-month post-intervention follow-up assessments. Results of piecewise latent growth models tested whether the number of BCT sessions attended and number of days abstinent from drugs and alcohol influenced relationship satisfaction and its growth over time, and in turn if relationship satisfaction and change in relationship satisfaction influenced risk for child abuse. For both mothers and fathers, attending more BCT sessions lead to a direct increase in relationship satisfaction, which in turn led to stronger reductions in risk for child abuse. This effect was maintained from the post-intervention through the 6-month post-intervention follow-up. For fathers, number of days abstinent significantly influenced reduction in child abuse potential at post-intervention via relationship satisfaction. This indirect effect was not present for mothers. The overall benefits of BCT on mothers' and fathers' risk for child abuse suggest that BCT may have promise in reducing risk for child abuse among couples in which one or both parents have SUD. Copyright © 2015 Elsevier Inc. All rights reserved.

[Estimation of the impact of risk factors control on non-communicable diseases mortality, life expectancy and the labor force lost in China in 2030].

PubMed

Zeng, X Y; Li, Y C; Liu, J M; Liu, Y N; Liu, S W; Qi, J L; Zhou, M G

2017-12-06

Objective: To estimate the impact of risk factors control on non-communicable diseases (NCDs) mortality, life expectancy and the numbers of labor force lost in China in 2030. Methods: We used the results of China from Global Burden of Disease Study 2013, according to the correlation between death of NCDs and exposure of risk factors and the comparative risk assessment theory, to calculate population attributable fraction (PAF) and disaggregate deaths of NCDs into parts attributable and un-attributable. We used proportional change model to project risk factors exposure and un-attributable deaths of NCDs in 2030, then to get deaths of NCDs in 2030. Simulated scenarios according to the goals of global main NCDs risk factors control proposed by WHO were constructed to calculate the impact of risk factors control on NCDs death, life expectancy and the numbers of labor force lost. Results: If the risk factors exposure changed according to the trend of 1990 to 2013, compared to the numbers (8.499 million) and mortality rate (613.5/100 000) of NCDs in 2013, the death number (12.161 million) and mortality rate (859.2/100 000) would increase by 43.1% and 40.0% respectively in 2030, among which, ischemic stroke (increasing by 103.3% for death number and 98.8% for mortality rate) and ischemic heart disease (increasing by 85.0% for death number and 81.0% for mortality rate) would increase most quickly. If the risk factors get the goals in 2030, the NCDs deaths would reduce 2 631 thousands. If only one risk factor gets the goal, blood pressure (1 484 thousands NCDs deaths reduction), smoking (717 thousands reduction) and BMI (274 thousands reduction) would be the most important factors affecting NCDs death. Blood pressure control would have greater impact on ischemic heart disease (662 thousands reduction) and hemorrhagic stroke (449 thousands reduction). Smoking control would have the greatest effect on lung cancer (251 thousands reduction) and chronic obstructive pulmonary disease (201 thousands reduction). BMI control would have the greatest impact on ischemic heart disease (86 thousands reduction) and hypertensive heart disease (45 thousands reduction). If the risk factors exposure changed according to the trend of 1990 to 2013, in 2030, the life expectancy of Chinese population would reach to 79.0 years old, compared to 2013, increasing by 3.3 years old, the labor force at the age of 15-64 years old would loss 1.932 million. If the risk factors get the goals in 2030, life expectancy would increase to 81.7 years old and the number of labor force lost would decrease to 1.467 million. Blood pressure, smoking and BMI control would have much greater impact on life expectancy (4.9, 4.0 and 3.8 years old respectively) and labor force lost (630 thousands, 496 thousands and 440 thousands respectively). Conclusion: Risk factors control would play an important role in reducing NCD death, improving life expectancy of residents and reducing loss of labor force. Among them, the control of blood pressure raising, smoking and BMI raising would have a greater contribution to the improvement of population health status.

Modelling the ability of source control measures to reduce inundation risk in a community-scale urban drainage system

NASA Astrophysics Data System (ADS)

Mei, Chao; Liu, Jiahong; Wang, Hao; Shao, Weiwei; Xia, Lin; Xiang, Chenyao; Zhou, Jinjun

2018-06-01

Urban inundation is a serious challenge that increasingly confronts the residents of many cities, as well as policymakers, in the context of rapid urbanization and climate change worldwide. In recent years, source control measures (SCMs) such as green roofs, permeable pavements, rain gardens, and vegetative swales have been implemented to address flood inundation in urban settings, and proven to be cost-effective and sustainable. In order to investigate the ability of SCMs on reducing inundation in a community-scale urban drainage system, a dynamic rainfall-runoff model of a community-scale urban drainage system was developed based on SWMM. SCMs implementing scenarios were modelled under six design rainstorm events with return period ranging from 2 to 100 years, and inundation risks of the drainage system were evaluated before and after the proposed implementation of SCMs, with a risk-evaluation method based on SWMM and analytic hierarchy process (AHP). Results show that, SCMs implementation resulting in significantly reduction of hydrological indexes that related to inundation risks, range of reduction rates of average flow, peak flow, and total flooded volume of the drainage system were 28.1-72.1, 19.0-69.2, and 33.9-56.0 %, respectively, under six rainfall events with return periods ranging from 2 to 100 years. Corresponding, the inundation risks of the drainage system were significantly reduced after SCMs implementation, the risk values falling below 0.2 when the rainfall return period was less than 10 years. Simulation results confirm the effectiveness of SCMs on mitigating inundation, and quantified the potential of SCMs on reducing inundation risks in the urban drainage system, which provided scientific references for implementing SCMs for inundation control of the study area.

The effect of a low fructose and low glycemic index/load (FRAGILE) dietary intervention on indices of liver function, cardiometabolic risk factors, and body composition in children and adolescents with nonalcoholic fatty liver disease (NAFLD).

PubMed

Mager, Diana R; Iñiguez, Ingrid Rivera; Gilmour, Susan; Yap, Jason

2015-01-01

Nonalcoholic fatty liver disease (NAFLD) is a common liver disease in obese children. Diets high in added fructose (high fructose corn syrup; HFCS) and glycemic index (GI)/glycemic load (GL) are associated with increased risk of NAFLD. Lifestyle modification is the main treatment, but no guidelines regarding specific dietary interventions for childhood NAFLD exist. We hypothesized that reductions in dietary fructose (total, free, and HFCS)/GI/GL over 6 months would result in improvements in body composition and markers of liver dysfunction and cardiometabolic risk in childhood NAFLD. Children and adolescents with NAFLD (n = 12) and healthy controls (n = 14) 7-18 years were studied at baseline and 3 and 6 months post-dietary intervention. Plasma markers of liver dysfunction (ALT, AST, γGT), cardiometabolic risk (TG, total cholesterol, LDL-HDL cholesterol, Apo-B100, Apo-B48, Apo-CIII, insulin, homeostasis model of assessment of insulin resistance [HOMA-IR]), inflammation (TNF-α, IL-6, IL-10), anthropometric, and blood pressure (BP) were studied using validated methodologies. Significant reductions in systolic BP (SBP), percentage body fat (BF), and plasma concentrations of ALT (P = .04), Apo-B100 (P < .001), and HOMA-IR were observed in children with NAFLD at 3 and 6 months (P < .05). Dietary reductions in total/free fructose/HFCS and GL were related to reductions in SBP (P = .01), ALT (P = .004), HOMA-IR (P = .03), and percentage BF in children with NAFLD. Reductions in dietary GI were associated with reduced plasma Apo-B100 (P = .02) in both groups. With the exception of Apo-B100, no changes in laboratory variables were observed in the control group. Modest reductions in fructose (total/free, HFCS) and GI/GL intake result in improvements of plasma markers of liver dysfunction and cardiometabolic risk in childhood NAFLD. © 2013 American Society for Parenteral and Enteral Nutrition.

Managing Risk Aversion for Low-Carbon Supply Chains with Emission Abatement Outsourcing.

PubMed

Wang, Qinpeng; He, Longfei

2018-02-21

Reducing carbon emissions, including emission abatement outsourcing at the supply-chain level, is becoming a significant but challenging problem in practice. Confronting this challenge, we therefore break down the practice to focus on a low-carbon supply chain consisting of one supplier, one manufacturer and one third-party emission-reducing contractor. The contractor offers a carbon reduction service to the manufacturer. In view of the increasing proportion of Greenhouse Gases (GHG) emissions and absence of carbon reduction policies in developing countries, we adopt the prospect of consumers' low-carbon preferences to capture the demand sensitivity on carbon emission. By exploiting the Mean-Variance (MV) model, we develop a supply chain game model considering risk aversion. Comparing the supply chain performances of the cases under risk neutrality and risk aversion, we investigate the impact of the risk aversion of the supplier and the manufacturer on the low-carbon supply chain performances, respectively. We show that the risk aversion of chain members will not influence the relationship underlain by the profit-sharing contract between the manufacturer and contractor, whereas they may extend the supplier's concerning range. Although the manufacturer's risk aversion has a positive impact on the wholesale price, interestingly, the supplier's impact on the wholesale price is negative. Furthermore, we propose a contract to coordinate the risk-averse low-carbon supply chain by tuning the aversion levels of the supplier and the manufacturer, respectively. Through numerical study, we draw on managerial insights for industrial practitioners to adopt a low carbon strategy potentially by managing the risk attitudes along the supply chain channel.

Managing Risk Aversion for Low-Carbon Supply Chains with Emission Abatement Outsourcing

PubMed Central

Wang, Qinpeng; He, Longfei

2018-01-01

Reducing carbon emissions, including emission abatement outsourcing at the supply-chain level, is becoming a significant but challenging problem in practice. Confronting this challenge, we therefore break down the practice to focus on a low-carbon supply chain consisting of one supplier, one manufacturer and one third-party emission-reducing contractor. The contractor offers a carbon reduction service to the manufacturer. In view of the increasing proportion of Greenhouse Gases (GHG) emissions and absence of carbon reduction policies in developing countries, we adopt the prospect of consumers’ low-carbon preferences to capture the demand sensitivity on carbon emission. By exploiting the Mean-Variance (MV) model, we develop a supply chain game model considering risk aversion. Comparing the supply chain performances of the cases under risk neutrality and risk aversion, we investigate the impact of the risk aversion of the supplier and the manufacturer on the low-carbon supply chain performances, respectively. We show that the risk aversion of chain members will not influence the relationship underlain by the profit-sharing contract between the manufacturer and contractor, whereas they may extend the supplier’s concerning range. Although the manufacturer’s risk aversion has a positive impact on the wholesale price, interestingly, the supplier’s impact on the wholesale price is negative. Furthermore, we propose a contract to coordinate the risk-averse low-carbon supply chain by tuning the aversion levels of the supplier and the manufacturer, respectively. Through numerical study, we draw on managerial insights for industrial practitioners to adopt a low carbon strategy potentially by managing the risk attitudes along the supply chain channel. PMID:29466281

Quantitative assessment of risk reduction from hand washing with antibacterial soaps.

PubMed

Gibson, L L; Rose, J B; Haas, C N; Gerba, C P; Rusin, P A

2002-01-01

The Centers for Disease Control and Prevention have estimated that there are 3,713,000 cases of infectious disease associated with day care facilities each year. The objective of this study was to examine the risk reduction achieved from using different soap formulations after diaper changing using a microbial quantitative risk assessment approach. To achieve this, a probability of infection model and an exposure assessment based on micro-organism transfer were used to evaluate the efficacy of different soap formulations in reducing the probability of disease following hand contact with an enteric pathogen. Based on this model, it was determined that the probability of infection ranged from 24/100 to 91/100 for those changing diapers of babies with symptomatic shigellosis who used a control product (soap without an antibacterial ingredient), 22/100 to 91/100 for those who used an antibacterial soap (chlorohexadine 4%), and 15/100 to 90/100 for those who used a triclosan (1.5%) antibacterial soap. Those with asymptomatic shigellosis who used a non-antibacterial control soap had a risk between 49/100,000 and 53/100, those who used the 4% chlorohexadine-containing soap had a risk between 43/100,000 and 51/100, and for those who used a 1.5% triclosan soap had a risk between 21/100,000 and 43/100. The adequate washing of hands after diapering reduces risk and can be further reduced by a factor of 20% by the use of an antibacterial soap. Quantitative risk assessment is a valuable tool in the evaluation of household sanitizing agents and low risk outcomes.

Artificial neural network modeling using clinical and knowledge independent variables predicts salt intake reduction behavior

PubMed Central

Isma’eel, Hussain A.; Sakr, George E.; Almedawar, Mohamad M.; Fathallah, Jihan; Garabedian, Torkom; Eddine, Savo Bou Zein

2015-01-01

Background High dietary salt intake is directly linked to hypertension and cardiovascular diseases (CVDs). Predicting behaviors regarding salt intake habits is vital to guide interventions and increase their effectiveness. We aim to compare the accuracy of an artificial neural network (ANN) based tool that predicts behavior from key knowledge questions along with clinical data in a high cardiovascular risk cohort relative to the least square models (LSM) method. Methods We collected knowledge, attitude and behavior data on 115 patients. A behavior score was calculated to classify patients’ behavior towards reducing salt intake. Accuracy comparison between ANN and regression analysis was calculated using the bootstrap technique with 200 iterations. Results Starting from a 69-item questionnaire, a reduced model was developed and included eight knowledge items found to result in the highest accuracy of 62% CI (58-67%). The best prediction accuracy in the full and reduced models was attained by ANN at 66% and 62%, respectively, compared to full and reduced LSM at 40% and 34%, respectively. The average relative increase in accuracy over all in the full and reduced models is 82% and 102%, respectively. Conclusions Using ANN modeling, we can predict salt reduction behaviors with 66% accuracy. The statistical model has been implemented in an online calculator and can be used in clinics to estimate the patient’s behavior. This will help implementation in future research to further prove clinical utility of this tool to guide therapeutic salt reduction interventions in high cardiovascular risk individuals. PMID:26090333

A multiparametric magnetic resonance imaging-based risk model to determine the risk of significant prostate cancer prior to biopsy.

PubMed

van Leeuwen, Pim J; Hayen, Andrew; Thompson, James E; Moses, Daniel; Shnier, Ron; Böhm, Maret; Abuodha, Magdaline; Haynes, Anne-Maree; Ting, Francis; Barentsz, Jelle; Roobol, Monique; Vass, Justin; Rasiah, Krishan; Delprado, Warick; Stricker, Phillip D

2017-12-01

To develop and externally validate a predictive model for detection of significant prostate cancer. Development of the model was based on a prospective cohort including 393 men who underwent multiparametric magnetic resonance imaging (mpMRI) before biopsy. External validity of the model was then examined retrospectively in 198 men from a separate institution whom underwent mpMRI followed by biopsy for abnormal prostate-specific antigen (PSA) level or digital rectal examination (DRE). A model was developed with age, PSA level, DRE, prostate volume, previous biopsy, and Prostate Imaging Reporting and Data System (PIRADS) score, as predictors for significant prostate cancer (Gleason 7 with >5% grade 4, ≥20% cores positive or ≥7 mm of cancer in any core). Probability was studied via logistic regression. Discriminatory performance was quantified by concordance statistics and internally validated with bootstrap resampling. In all, 393 men had complete data and 149 (37.9%) had significant prostate cancer. While the variable model had good accuracy in predicting significant prostate cancer, area under the curve (AUC) of 0.80, the advanced model (incorporating mpMRI) had a significantly higher AUC of 0.88 (P < 0.001). The model was well calibrated in internal and external validation. Decision analysis showed that use of the advanced model in practice would improve biopsy outcome predictions. Clinical application of the model would reduce 28% of biopsies, whilst missing 2.6% significant prostate cancer. Individualised risk assessment of significant prostate cancer using a predictive model that incorporates mpMRI PIRADS score and clinical data allows a considerable reduction in unnecessary biopsies and reduction of the risk of over-detection of insignificant prostate cancer at the cost of a very small increase in the number of significant cancers missed. © 2017 The Authors BJU International © 2017 BJU International Published by John Wiley & Sons Ltd.

Lung Cancer Risk Models for Screening (R package: lcrisks)

Cancer.gov

In both the absence and presence of screening, the R package lcrisks, calculates individual risks of lung cancer and lung cancer death based on covariates: age, education, sex, race, smoking intensity/duration/quit-years, Body Mass Index, family history of lung-cancer, and self-reported emphysema. In the presence of CT screening akin to the NLST (3 yearly screens, 5 years of follow-up), it uses the covariates to estimate risk of false-positive CT screen as well as the reduction in risk of lung cancer death and increase in risk of lung cancer screening.

Risk of wound infection and safety profile of amoxicillin in healthy patients which required third molar surgery: a systematic review and meta-analysis.

PubMed

Isiordia-Espinoza, M A; Aragon-Martinez, O H; Martínez-Morales, J F; Zapata-Morales, J R

2015-11-01

The aim of this systematic review and meta-analysis was to assess the risk of surgical wound infection and the adverse effects of amoxicillin in healthy patients who required excision of third molars. We identified eligible reports from searches of PubMed, Medline®, the Cochrane Library, Imbiomed, LILACS, and Google Scholar. Studies that met our minimum requirements were evaluated using inclusion and exclusion criteria and the Oxford Quality Scale. Those with a score of 3 or more on this Scale were included and their data were extracted and analysed. For evaluation of the risk of infection the absolute risk reduction, number needed to treat, and 95% CI were calculated. For evaluation of the risk of an adverse effect the absolute risk increase, number needed to harm, and 95% CI were calculated using the Risk Reduction Calculator. Each meta-analysis was made with the help of the Mantel-Haenszel random effects model, and estimates of risk (OR) and 95% CI were calculated using the Review Manager 5.3, from the Cochrane Library. A significant risk was assumed when the lower limit of the 95% CI was greater than 1. Probabilities of less than 0.05 were accepted as significant. The results showed that there was no reduction in the risk of infection when amoxicillin was given before or after operation compared with an untreated group or placebo. In conclusion, this study suggests that amoxicillin given prophylactically or postoperatively does not reduce the risk of infection in healthy patients having their third molars extracted. Copyright © 2015 The British Association of Oral and Maxillofacial Surgeons. Published by Elsevier Ltd. All rights reserved.

EARLY BIOMARKERS OF ACUTE RESPIRATORY ALLERGEN EXPOSURE

EPA Science Inventory

Rationale: Allergic asthma prevalence has been increasing in Western societies for several decades. Identification of potential allergens facilitates reduction in exposure and may reduce the risk of asthma development. Predictive models for recognition of sensitizers require th...

Coffee, tea, and incident type 2 diabetes: the Singapore Chinese Health Study

PubMed Central

Odegaard, Andrew O; Pereira, Mark A; Koh, Woon-Puay; Arakawa, Kazuko; Lee, Hin-Peng; Yu, Mimi C

2009-01-01

Background Increasing coffee intake was inversely associated with risk of type 2 diabetes in populations of European descent; however, data from high-risk Asian populations are lacking as are data on tea intake in general. Objective We investigated the prospective associations between intakes of coffee, black tea, and green tea with the risk of type 2 diabetes in Singaporean Chinese men and women. Design We analyzed data from 36 908 female and male participants in the Singapore Chinese Health Study aged 45-74 y in 1993-1998 who had multiple diet and lifestyle measures assessed and then were followed up between 1999 and 2004. We used Cox regression models to investigate the association of baseline coffee and tea intakes with incident type 2 diabetes during follow-up, with adjustment for a number of possible confounding or mediating variables. Results In multivariate models participants reporting ≥4 cups of coffee/d had a 30% reduction in risk of diabetes [relative risk (RR): 0.70; 95% CI: 0.53, 0.93] compared with participants who reported nondaily consumption. Participants reporting ≥1 cup of black tea/d had a suggestive 14% reduction in risk of diabetes (RR: 0.86; 95% CI: 0.74, 1.00) compared with participants who reported 0 cups/d, and we observed no association with green tea. Conclusion Regular consumption of coffee and potentially black tea, but not green tea, is associated with lower risk of type 2 diabetes in Asian men and women in Singapore. PMID:18842784

[Perioperative mortality. Risk factors associated with anaesthesia].

PubMed

Zajac, Krzysztof; Zajac, Małgorzata

2005-01-01

Perioperative mortality associated with anaesthesia has been closely monitored throughout half of the century. The breakthrough in anaesthesia safety occurred in the 80-ties and 90-ties of the last century, when we could witness 5-folded reduction in mortality associated with anaesthesia, i.e. from 1 death:2680 operations/anaesthetic procedures (the 50-ties of the 20 h century) to 1:10,000 (and even 20-folded reduction within the ASA 1 and 2 groups of the patients--1 death:185,000 procedures). However, the more detailed analysis showed that the perioperative mortality is significantly higher, namely 1 death: approximately 500 procedures, and in the ASA 5 group of patients 1:4.5 procedures; what is more meaningful, the numbers have not been changed since 50 years. This phenomenon supports the thesis of anaesthesia safety, however, it indicates the drawbacks within the models and scoring systems evaluating operative risk. Several available scoring scales which can predict death rate, at the same time are not able to assess the extent of the other than biological risk factors. The "extra-biological risk" (i.e. process of therapy) may in some cases increase the operative risk as a whole. The value of the operative risk, as the fraction given by predicted death rate, is located between the numbers 0 and 1 (or between survival and death in the binary model of the probability theory). Recognition of the "extrabiological risk" value depends however on the high sensitivity of the scales evaluating prediction of death rate.

Quantitative assessment of human exposure to extended spectrum and AmpC β-lactamases bearing E. coli in lettuce attributable to irrigation water and subsequent horizontal gene transfer.

PubMed

Njage, P M K; Buys, E M

2017-01-02

The contribution of the fresh produce production environment to human exposure with bacteria bearing extended spectrum β-lactamases and AmpC β-lactamases (ESBL/AmpC) has not been reported. High prevalence of ESBLs/AmpC bearing E. coli as well as a high gene transfer efficiency of lettuce and irrigation water E. coli isolates was previously reported. This stochastic modeling was aimed at quantitatively assessing human exposure to ESBL/AmpC bearing E. coli through lettuce attributable to irrigation water and subsequent horizontal gene transfer. Modular process risk approach was used for the quantitative exposure assessment and models were constructed in Ms. Excel spreadsheet with farm to consumption chain accounted for by primary production, processing, retail and consumer storage. Probability distributions were utilised to take into account the variability of the exposure estimates. Exposure resulting from ESBL/AmpC positive E. coli and gene transfer was taken into account. Monte Carlo simulation was carried out using @Risk software followed by sensitivity and scenario analysis to assess most effective single or combinations of mitigation strategies for the ESBL/AmpC positive E. coli events from farm to fork. Three percent of South African lettuce consumers are exposed to lettuce contaminated with about 10 6.4 ±10 6.7 (95% CI: 10 5.1 -10 7 ) cfu of ESBL/AmpC positive E. coli per serving. The contribution of originally positive isolates and conjugative genetic transfer was 10 6 ±10 6.7 (95% CI: 10 5 -10 7 ) and 10 5.2 ±10 5.6 (95% CI: 10 3.9 -10 5.8 ) cfu per serving respectively. Proportion of ESBL/AmpC positive E. coli (Spearman's correlation coefficient (ρ)=0.85), conjugative gene transfer (ρ=0.05-0.14), washing in chlorine water (ρ=0.18), further rinsing (ρ=0.15), and prevalence of E. coli in irrigation water (ρ=0.16) had highest influence on consumer exposure. The most effective single methods in reducing consumer exposure were reduction in irrigation water microbial quality variation (87.4% reduction), storage period (49.9-87.4% reduction) and growth rate reduction by 75% (90% reduction). Reduction in growth rate together with storage time (92.1-99.4%) and reduction in storage time combined with E. coli concentration in irrigation water (95-96% reduction) were most effective combinations of mitigation measures. The high variation in exposure reflected the high irrigation water quality variation. The exposure levels may impose higher consumer risk than acceptable for irrigation water risk. E. coli contamination and growth related measures, as well as measures to reduce contamination with antimicrobial resistant E. coli from lettuce production environment are recommended. This exposure model could form a basis for the development of similar models assessing the impact of contaminated irrigation water and gene transfer in other microbial hazards, antimicrobial resistance types and fresh produce types. Copyright © 2016 Elsevier B.V. All rights reserved.

Taking stock of decentralized disaster risk reduction in Indonesia

NASA Astrophysics Data System (ADS)

Grady, Anthony; Gersonius, Berry; Makarigakis, Alexandros

2016-09-01

The Sendai Framework, which outlines the global course on disaster risk reduction until 2030, places strong importance on the role of local government in disaster risk reduction. An aim of decentralization is to increase the influence and authority of local government in decision making. Yet, there is limited empirical evidence of the extent, character and effects of decentralization in current disaster risk reduction implementation, and of the barriers that are most critical to this. This paper evaluates decentralization in relation to disaster risk reduction in Indonesia, chosen for its recent actions to decentralize governance of DRR coupled with a high level of disaster risk. An analytical framework was developed to evaluate the various dimensions of decentralized disaster risk reduction, which necessitated the use of a desk study, semi-structured interviews and a gap analysis. Key barriers to implementation in Indonesia included: capacity gaps at lower institutional levels, low compliance with legislation, disconnected policies, issues in communication and coordination and inadequate resourcing. However, any of these barriers are not unique to disaster risk reduction, and similar barriers have been observed for decentralization in other developing countries in other public sectors.

Thermal inactivation of Salmonella spp. in pork burger patties.

PubMed

Gurman, P M; Ross, T; Holds, G L; Jarrett, R G; Kiermeier, A

2016-02-16

Predictive models, to estimate the reduction in Escherichia coli O157:H7 concentration in beef burgers, have been developed to inform risk management decisions; no analogous model exists for Salmonella spp. in pork burgers. In this study, "Extra Lean" and "Regular" fat pork minces were inoculated with Salmonella spp. (Salmonella 4,[5],12,i:-, Salmonella Senftenberg and Salmonella Typhimurium) and formed into pork burger patties. Patties were cooked on an electric skillet (to imitate home cooking) to one of seven internal temperatures (46, 49, 52, 55, 58, 61, 64 °C) and Salmonella enumerated. A generalised linear logistic regression model was used to develop a predictive model for the Salmonella concentration based on the internal endpoint temperature. It was estimated that in pork mince with a fat content of 6.1%, Salmonella survival will be decreased by -0.2407log10 CFU/g for a 1 °C increase in internal endpoint temperature, with a 5-log10 reduction in Salmonella concentration estimated to occur when the geometric centre temperature reaches 63 °C. The fat content influenced the rate of Salmonella inactivation (P=0.043), with Salmonella survival increasing as fat content increased, though this effect became negligible as the temperature approached 62 °C. Fat content increased the time required for patties to achieve a specified internal temperature (P=0.0106 and 0.0309 for linear and quadratic terms respectively), indicating that reduced fat pork mince may reduce the risk of salmonellosis from consumption of pork burgers. Salmonella serovar did not significantly affect the model intercepts (P=0.86) or slopes (P=0.10) of the fitted logistic curve. This predictive model can be applied to estimate the reduction in Salmonella in pork burgers after cooking to a specific endpoint temperature and hence to assess food safety risk. Crown Copyright © 2015. Published by Elsevier B.V. All rights reserved.

Adaptation to hydrological extremes through insurance: a financial fund simulation model under changing scenarios

NASA Astrophysics Data System (ADS)

Guzman, Diego; Mohor, Guilherme; Câmara, Clarissa; Mendiondo, Eduardo

2017-04-01

Researches from around the world relate global environmental changes with the increase of vulnerability to extreme events, such as heavy and scarce precipitations - floods and droughts. Hydrological disasters have caused increasing losses in recent years. Thus, risk transfer mechanisms, such as insurance, are being implemented to mitigate impacts, finance the recovery of the affected population, and promote the reduction of hydrological risks. However, among the main problems in implementing these strategies, there are: First, the partial knowledge of natural and anthropogenic climate change in terms of intensity and frequency; Second, the efficient risk reduction policies require accurate risk assessment, with careful consideration of costs; Third, the uncertainty associated with numerical models and input data used. The objective of this document is to introduce and discuss the feasibility of the application of Hydrological Risk Transfer Models (HRTMs) as a strategy of adaptation to global climate change. The article shows the development of a methodology for the collective and multi-sectoral vulnerability management, facing the hydrological risk in the long term, under an insurance funds simulator. The methodology estimates the optimized premium as a function of willingness to pay (WTP) and the potential direct loss derived from hydrological risk. The proposed methodology structures the watershed insurance scheme in three analysis modules. First, the hazard module, which characterizes the hydrologic threat from the recorded series input or modelled series under IPCC / RCM's generated scenarios. Second, the vulnerability module calculates the potential economic loss for each sector1 evaluated as a function of the return period "TR". Finally, the finance module determines the value of the optimal aggregate premium by evaluating equiprobable scenarios of water vulnerability; taking into account variables such as the maximum limit of coverage, deductible, reinsurance schemes, and incentives for risk reduction. The methodology tested by members of the Integrated Nucleus of River Basins (NIBH) (University of Sao Paulo (USP) School of Engineering of São Carlos (EESC) - Brazil) presents an alternative to the analysis and planning of insurance funds, aiming to mitigate the impacts of hydrological droughts and stream flash floods. The presented procedure is especially important when information relevant to studies and the development and implementation of insurance funds are difficult to access and of complex evaluation. A sequence of academic applications has been made in Brazil under the South American context, where the market of hydrological insurance has a low penetration compared to developed economies and insurance markets more established as the United States and Europe, producing relevant information and demonstrating the potential of the methodology in development.

Cost-Effectiveness of Helicopter Versus Ground Emergency Medical Services for Trauma Scene Transport in the United States

PubMed Central

Delgado, M. Kit; Staudenmayer, Kristan L.; Wang, N. Ewen; Spain, David A.; Weir, Sharada; Owens, Douglas K.; Goldhaber-Fiebert, Jeremy D.

2014-01-01

Objective We determined the minimum mortality reduction that helicopter emergency medical services (HEMS) should provide relative to ground EMS for the scene transport of trauma victims to offset higher costs, inherent transport risks, and inevitable overtriage of minor injury patients. Methods We developed a decision-analytic model to compare the costs and outcomes of helicopter versus ground EMS transport to a trauma center from a societal perspective over a patient's lifetime. We determined the mortality reduction needed to make helicopter transport cost less than $100,000 and $50,000 per quality adjusted life year (QALY) gained compared to ground EMS. Model inputs were derived from the National Study on the Costs and Outcomes of Trauma (NSCOT), National Trauma Data Bank, Medicare reimbursements, and literature. We assessed robustness with probabilistic sensitivity analyses. Results HEMS must provide a minimum of a 17% relative risk reduction in mortality (1.6 lives saved/100 patients with the mean characteristics of the NSCOT cohort) to cost less than $100,000 per QALY gained and a reduction of at least 33% (3.7 lives saved/100 patients) to cost less than $50,000 per QALY. HEMS becomes more cost-effective with significant reductions in minor injury patients triaged to air transport or if long-term disability outcomes are improved. Conclusions HEMS needs to provide at least a 17% mortality reduction or a measurable improvement in long-term disability to compare favorably to other interventions considered cost-effective. Given current evidence, it is not clear that HEMS achieves this mortality or disability reduction. Reducing overtriage of minor injury patients to HEMS would improve its cost-effectiveness. PMID:23582619

Cardiovascular ischemic event rates in outpatients with symptomatic atherothrombosis or risk factors in the united states: insights from the REACH Registry.

PubMed

Eagle, Kim A; Hirsch, Alan T; Califf, Robert M; Alberts, Mark J; Steg, P Gabriel; Cannon, Christopher P; Brennan, Danielle M; Bhatt, Deepak L

2009-06-01

Atherothrombosis, defined as coronary artery, cerebrovascular, and peripheral arterial disease, is the leading cause of death in the United States. Limited data are available from outpatient populations to describe contemporary cardiovascular ischemic event rates and associated use of risk reduction treatments in patients with clinically manifest, or at risk for, atherothrombosis. The REduction of Atherothrombosis for Continued Health (REACH) Registry is an international, prospective, observational study of patients with either documented atherothrombotic syndromes or 3 or more risk factors designed to fill this knowledge gap. Baseline demographics and 1-year outcomes were evaluated for US patients enrolled in the REACH Registry. Multivariate analytic models were constructed using baseline characteristics to determine independent predictors of 1-year event rates. In the United States, 25,686 patients were enrolled into the registry. Among symptomatic patients (n = 19,069), 19% had disease in >or=1 arterial bed. As of July 2006, 1-year outcomes were available for 93.4% (n = 23,985) of patients. The composite cardiovascular death, nonfatal myocardial infarction, and nonfatal stroke event rate was 4.3% for the overall population and highest in patients with triple bed disease (9.9%). There was a relatively high use of risk reduction medications among symptomatic patients. However, opportunity for improvement remains. Approximately 9% of symptomatic patients were not using any antithrombotic, 7% were not using any antihypertensive agents, and 17% were not taking a lipid-lowering agent, whereas >80% of patients suffered from hypertension or dyslipidemia. US patients with established atherothrombotic disease continue to experience high cardiovascular ischemic event rates; these rates increase in close association with polyvascular disease. Despite the use of risk reduction interventions, ideal secondary prevention of ischemic events has not been achieved.

A mixed logit model of homeowner preferences for wildfire hazard reduction

Treesearch

Thomas P. Holmes; John Loomis; Armando González-Cabán

2009-01-01

People living in the wildland-urban interface (WUI) are at greater risk of suffering major losses of property and life from wildfires. Over the past several decades the prevailing view has been that wildfire risk in rural areas was exogenous to the activities of homeowners. In response to catastrophic fires in the WUI over the past few years, recent approaches to fire...

A Mixed Logit Model of Homeowner Preferences for Wildfire Hazard Reduction

Treesearch

Thomas P. Holmes; John Loomis; Armando Gonzalez-Caban

2010-01-01

People living in the wildland-urban interface (WUI) are at greater risk of suffering major losses of property and life from wildfires. Over the past several decades the prevailing view has been that wildfire risk in rural areas was exogenous to the activities of homeowners. In response to catastrophic fires in the WUI over the past few years, recent approaches to fire...

76 FR 40320 - Risk Reduction Program

Federal Register 2010, 2011, 2012, 2013, 2014

2011-07-08

... identifying and analyzing applicable hazards and (2) develops plans to mitigate that risk. Each RRP is...-2009-0038] RIN 2130-AC11 Risk Reduction Program AGENCY: Federal Railroad Administration (FRA... certain railroads to develop a Risk Reduction Program (RRP). The Rail Safety Improvement Act of 2008...

Antisense oligonucleotide inhibition of apolipoprotein C-III reduces plasma triglycerides in rodents, nonhuman primates, and humans.

PubMed

Graham, Mark J; Lee, Richard G; Bell, Thomas A; Fu, Wuxia; Mullick, Adam E; Alexander, Veronica J; Singleton, Walter; Viney, Nick; Geary, Richard; Su, John; Baker, Brenda F; Burkey, Jennifer; Crooke, Stanley T; Crooke, Rosanne M

2013-05-24

Elevated plasma triglyceride levels have been recognized as a risk factor for the development of coronary heart disease. Apolipoprotein C-III (apoC-III) represents both an independent risk factor and a key regulatory factor of plasma triglyceride concentrations. Furthermore, elevated apoC-III levels have been associated with metabolic syndrome and type 2 diabetes mellitus. To date, no selective apoC-III therapeutic agent has been evaluated in the clinic. To test the hypothesis that selective inhibition of apoC-III with antisense drugs in preclinical models and in healthy volunteers would reduce plasma apoC-III and triglyceride levels. Rodent- and human-specific second-generation antisense oligonucleotides were identified and evaluated in preclinical models, including rats, mice, human apoC-III transgenic mice, and nonhuman primates. We demonstrated the selective reduction of both apoC-III and triglyceride in all preclinical pharmacological evaluations. We also showed that inhibition of apoC-III was well tolerated and not associated with increased liver triglyceride deposition or hepatotoxicity. A double-blind, placebo-controlled, phase I clinical study was performed in healthy subjects. Administration of the human apoC-III antisense drug resulted in dose-dependent reductions in plasma apoC-III, concomitant lowering of triglyceride levels, and produced no clinically meaningful signals in the safety evaluations. Antisense inhibition of apoC-III in preclinical models and in a phase I clinical trial with healthy subjects produced potent, selective reductions in plasma apoC-III and triglyceride, 2 known risk factors for cardiovascular disease. This compelling pharmacological profile supports further clinical investigations in hypertriglyceridemic subjects.

A reanalysis of a behavioral intervention to prevent incident HIV infections: Including indirect effects in modeling outcomes of Project EXPLORE

PubMed Central

Eaton, Lisa A.; Kalichman, Seth C.; Kenny, David A.; Harel, Ofer

2013-01-01

Background Project EXPLORE -- a large-scale, behavioral intervention tested among men who have sex with men (MSM) at-risk for HIV infection --was generally deemed as ineffective in reducing HIV incidence. Using novel and more precise data analytic techniques we reanalyzed Project EXPLORE by including both direct and indirect paths of intervention effects. Methods Data from 4,296 HIV negative MSM who participated in Project EXPLORE, which included ten sessions of behavioral risk reduction counseling completed from 1999-2005, were included in the analysis. We reanalyzed the data to include parameters that estimate the overtime effects of the intervention on unprotected anal sex and the over-time effects of the intervention on HIV status mediated by unprotected anal sex simultaneously in a single model. Results We found the indirect effect of intervention on HIV infection through unprotected anal sex to be statistically significant up through 12 months post-intervention, OR=.83, 95% CI=.72-.95. Furthermore, the intervention significantly reduced unprotected anal sex up through 18 months post-intervention, OR=.79, 95% CI=.63-.99. Discussion Our results reveal effects not tested in the original model that offer new insight into the effectiveness of a behavioral intervention for reducing HIV incidence. Project EXPLORE demonstrated that when tested against an evidence-based, effective control condition can result in reductions in rates of HIV acquisition at one year follow-up. Findings highlight the critical role of addressing behavioral risk reduction counseling in HIV prevention. PMID:23245226

Evaluation methodology for flood damage reduction by preliminary water release from hydroelectric dams

NASA Astrophysics Data System (ADS)

Ando, T.; Kawasaki, A.; Koike, T.

2017-12-01

IPCC AR5 (2014) reported that rainfall in the middle latitudes of the Northern Hemisphere has been increasing since 1901, and it is claimed that warmer climate will increase the risk of floods. In contrast, world water demand is forecasted to exceed a sustainable supply by 40 percent by 2030. In order to avoid this expectable water shortage, securing new water resources has become an utmost challenge. However, flood risk prevention and the secure of water resources are contradictory. To solve this problem, we can use existing hydroelectric dams not only as energy resources but also for flood control. However, in case of Japan, hydroelectric dams take no responsibility for it, and benefits have not been discussed accrued by controlling flood by hydroelectric dams, namely by using preliminary water release from them. Therefore, our paper proposes methodology for assessing those benefits. This methodology has three stages as shown in Fig. 1. First, RRI model is used to model flood events, taking account of the probability of rainfall. Second, flood damage is calculated using assets in inundation areas multiplied by the inundation depths generated by that RRI model. Third, the losses stemming from preliminary water release are calculated, and adding them to flood damage, overall losses are calculated. We can evaluate the benefits by changing the volume of preliminary release. As a result, shown in Fig. 2, the use of hydroelectric dams to control flooding creates 20 billion Yen benefits, in the probability of three-day-ahead rainfall prediction of the assumed maximum rainfall in Oi River, in the Shizuoka Pref. of Japan. As the third priority in the Sendai Framework for Disaster Risk Reduction 2015-2030, `investing in disaster risk reduction for resilience - public and private investment in disaster risk prevention and reduction through structural and non-structural measures' was adopted. The accuracy of rainfall prediction is the key factor in maximizing the benefits. Therefore, if the accrued 20 billion Yen benefits by adopting this evaluation methodology are invested in improving rainfall prediction, the accuracy of the forecasts will increase and so will the benefits. This positive feedback loop will benefit society. The results of this study may stimulate further discussion on the role of hydroelectric dams in flood control.

Influences of age, sex, and LDL-C change on cardiovascular risk reduction with pravastatin treatment in elderly Japanese patients: A post hoc analysis of data from the Pravastatin Anti-atherosclerosis Trial in the Elderly (PATE)

PubMed Central

Ouchi, Yasuyoshi; Ohashi, Yasuo; Ito, Hideki; Saito, Yasushi; Ishikawa, Toshitsugu; Akishita, Masahiro; Shibata, Taro; Nakamura, Haruo; Orimo, Hajime

2006-01-01

Background: The Pravastatin Anti-atherosclerosis Trial in the Elderly (PATE) found that the prevalence of cardiovascular events (CVEs) was significantly lower with standard-dose (10–20 mg/d) pravastatin treatment compared with low-dose (5 mg/d) pravastatin treatment in elderly (aged ⩾ 60 years) Japanese patients with hypercholesterolemia. Small differences in on-treatment total cholesterol and low-density lipoprotein cholesterol (LDL-C) levels between the 2 dose groups in the PATE study were associated with significant differences in CVE prevalence. However, the reasons for these differences have not been determined. How sex and age differences influence the effectiveness of pravastatin also remains unclear. Objectives: The aims of this study were to determine the relationship between reduction in LDL-C level and CVE risk reduction in the PATE study and to assess the effects of sex and age on the effectiveness of pravastatin treatment (assessed using CVE risk reduction). Methods: In this post hoc analysis, Cox regression analysis was performed to study the relationship between on-treatment (pravastatin 5–20 mg/d) LDL-C level and CVE risk reduction using age, sex, smoking status, presence of diabetes mellitus and/or hypertension, history of cardiovascular disease (CVD), and high-density lipoprotein cholesterol level as adjustment factors. To explore risk reduction due to unspecified mechanisms other than LDLrC reduction, an estimated Kaplan-Meier curve from the Cox regression analysis was calculated and compared with the empirical (observed) Kaplan-Meier curve. Results: A total of 665 patients (527 women, 138 men; mean [SD] age, 72.8 [5.7] years) were enrolled in PATE and were followed up for a mean of 3.9 years (range, 3–5 years). Of those patients, 50 men and 173 women were ⩾75 years of age. Data from 619 patients were included in the present analysis. In the calculation of model-based Kaplan-Meier curves, data from an additional 32 patients were excluded from the LDL-C analysis because there were no data on pretreatment LDL levels; hence, the data from 587 patients were analyzed. A reduction in LDL-C level of 20 mg/dL was associated with an estimated CVE risk reduction of 24.7% (hazard ratio [HR] = 0.753; 95% CI, 0.625-0.907; P = 0.003). Risk was reduced by 22.2% in patients aged <75 years (HR = 0.778; 95% CI, 0.598–1.013; P = NS) and 29.9% in patients aged ⩾75 years (HR = 0.701; 95% CI, 0.526–0.934; P = 0.015). The risk reductions were 19.8% in women (HR = 0.802; 95% CI, 0.645–0.996; P = 0.046) and 35.8% in men (HR = 0.642; 95% CI, 0.453–0.911; P = 0.013). The risk reduction was 32.4% in patients without a history of CVD at enrollment (HR = 0.676; 95% CI, 0.525–0.870; P = 0.002) and 15.1% in those with a history of CVD (HR = 0.849; 95% CI, 0.630–1.143; P= NS). The estimated Kaplan-Meier curve strongly suggested that the effects of pravastatin were only partially associated with changes in LDLrC level. Conclusions: The results from this post hoc analysis suggest that pravastatin 5 to 20 mg/d might elicit CVE risk reduction by mechanisms other than cholesterol-lowering effects alone. They also suggest that pravastatin treatment might be effective in reducing the risk for CVEs in both female and male patients aged ⩾75 years. PMID:24678100

Influences of age, sex, and LDL-C change on cardiovascular risk reduction with pravastatin treatment in elderly Japanese patients: A post hoc analysis of data from the Pravastatin Anti-atherosclerosis Trial in the Elderly (PATE).

PubMed

Ouchi, Yasuyoshi; Ohashi, Yasuo; Ito, Hideki; Saito, Yasushi; Ishikawa, Toshitsugu; Akishita, Masahiro; Shibata, Taro; Nakamura, Haruo; Orimo, Hajime

2006-07-01

The Pravastatin Anti-atherosclerosis Trial in the Elderly (PATE) found that the prevalence of cardiovascular events (CVEs) was significantly lower with standard-dose (10-20 mg/d) pravastatin treatment compared with low-dose (5 mg/d) pravastatin treatment in elderly (aged ⩾ 60 years) Japanese patients with hypercholesterolemia. Small differences in on-treatment total cholesterol and low-density lipoprotein cholesterol (LDL-C) levels between the 2 dose groups in the PATE study were associated with significant differences in CVE prevalence. However, the reasons for these differences have not been determined. How sex and age differences influence the effectiveness of pravastatin also remains unclear. The aims of this study were to determine the relationship between reduction in LDL-C level and CVE risk reduction in the PATE study and to assess the effects of sex and age on the effectiveness of pravastatin treatment (assessed using CVE risk reduction). In this post hoc analysis, Cox regression analysis was performed to study the relationship between on-treatment (pravastatin 5-20 mg/d) LDL-C level and CVE risk reduction using age, sex, smoking status, presence of diabetes mellitus and/or hypertension, history of cardiovascular disease (CVD), and high-density lipoprotein cholesterol level as adjustment factors. To explore risk reduction due to unspecified mechanisms other than LDLrC reduction, an estimated Kaplan-Meier curve from the Cox regression analysis was calculated and compared with the empirical (observed) Kaplan-Meier curve. A total of 665 patients (527 women, 138 men; mean [SD] age, 72.8 [5.7] years) were enrolled in PATE and were followed up for a mean of 3.9 years (range, 3-5 years). Of those patients, 50 men and 173 women were ⩾75 years of age. Data from 619 patients were included in the present analysis. In the calculation of model-based Kaplan-Meier curves, data from an additional 32 patients were excluded from the LDL-C analysis because there were no data on pretreatment LDL levels; hence, the data from 587 patients were analyzed. A reduction in LDL-C level of 20 mg/dL was associated with an estimated CVE risk reduction of 24.7% (hazard ratio [HR] = 0.753; 95% CI, 0.625-0.907; P = 0.003). Risk was reduced by 22.2% in patients aged <75 years (HR = 0.778; 95% CI, 0.598-1.013; P = NS) and 29.9% in patients aged ⩾75 years (HR = 0.701; 95% CI, 0.526-0.934; P = 0.015). The risk reductions were 19.8% in women (HR = 0.802; 95% CI, 0.645-0.996; P = 0.046) and 35.8% in men (HR = 0.642; 95% CI, 0.453-0.911; P = 0.013). The risk reduction was 32.4% in patients without a history of CVD at enrollment (HR = 0.676; 95% CI, 0.525-0.870; P = 0.002) and 15.1% in those with a history of CVD (HR = 0.849; 95% CI, 0.630-1.143; P= NS). The estimated Kaplan-Meier curve strongly suggested that the effects of pravastatin were only partially associated with changes in LDLrC level. The results from this post hoc analysis suggest that pravastatin 5 to 20 mg/d might elicit CVE risk reduction by mechanisms other than cholesterol-lowering effects alone. They also suggest that pravastatin treatment might be effective in reducing the risk for CVEs in both female and male patients aged ⩾75 years.

The Massachusetts Toxics Use Reduction Act: a model for nanomaterials regulation?

NASA Astrophysics Data System (ADS)

Nash, Jennifer

2012-08-01

Nanomaterials exemplify a new class of emerging technologies that have significant economic and social value, pose uncertain health and environmental risks, and are entering the marketplace at a rapid pace. Effective regimes for regulating emerging technologies generate information about known or suspected hazards and draw on private sector expertise to guide managers' behavior toward risk reduction, even in the absence of clear evidence of harm. This paper considers the extent to which the federal Toxic Substances Control Act (TSCA) accomplishes those objectives. It offers the approach of the Massachusetts Toxics Use Reduction Act (TURA) as a possible supplement to TSCA, filling gaps in agency knowledge and private sector capacities. TURA is notable for its focus on chemicals use and hazard and its emphasis on strengthening firms' internal management systems. Given the current deadlock in Congressional efforts to modernize federal laws such as TSCA, the role of state laws like TURA merit attention. Absent definitive information about risk, a governance strategy that generates information and focuses management attention on reducing hazards is worth considering.

Profile of elementary school science teacher instruction in disaster risk reduction: case study of volcano disaster

NASA Astrophysics Data System (ADS)

Pujianto; Prabowo; Wasis

2018-04-01

This study examined the profile of science' teacher instruction in Disaster Risk Reduction (DRR), as a feature of instructional quality, on students’ learning experiences. A qualitative study was done to observe teacher activities in teaching of disaster preparedness. Science teacher and 14 students at grade 4 of SDN (elementary school) Kiyaran 2 are involved as the subject of this study. Teacher’ instruction was coded with regard to preparation, action, and evaluation using observation sheets and documentation. Data analysis results showed a positive significant effect of the readiness during preparation on learning process of disaster risk reduction and an indirect effect of teacher’ action on students’ learning experiences. There is a lack of teaching materials about volcano disaster in the elementary school. Teacher found difficulties on evaluation of student achievement in disaster preparedness. These findings highlight the importance of DRR in uphold science teachers’ education. Items of teachers’ skill in preparing of DRR may be used to offer model of concrete instruction situation during university workshop for maintain teacher education.

Validation of a novel air toxic risk model with air monitoring.

PubMed

Pratt, Gregory C; Dymond, Mary; Ellickson, Kristie; Thé, Jesse

2012-01-01

Three modeling systems were used to estimate human health risks from air pollution: two versions of MNRiskS (for Minnesota Risk Screening), and the USEPA National Air Toxics Assessment (NATA). MNRiskS is a unique cumulative risk modeling system used to assess risks from multiple air toxics, sources, and pathways on a local to a state-wide scale. In addition, ambient outdoor air monitoring data were available for estimation of risks and comparison with the modeled estimates of air concentrations. Highest air concentrations and estimated risks were generally found in the Minneapolis-St. Paul metropolitan area and lowest risks in undeveloped rural areas. Emissions from mobile and area (nonpoint) sources created greater estimated risks than emissions from point sources. Highest cancer risks were via ingestion pathway exposures to dioxins and related compounds. Diesel particles, acrolein, and formaldehyde created the highest estimated inhalation health impacts. Model-estimated air concentrations were generally highest for NATA and lowest for the AERMOD version of MNRiskS. This validation study showed reasonable agreement between available measurements and model predictions, although results varied among pollutants, and predictions were often lower than measurements. The results increased confidence in identifying pollutants, pathways, geographic areas, sources, and receptors of potential concern, and thus provide a basis for informing pollution reduction strategies and focusing efforts on specific pollutants (diesel particles, acrolein, and formaldehyde), geographic areas (urban centers), and source categories (nonpoint sources). The results heighten concerns about risks from food chain exposures to dioxins and PAHs. Risk estimates were sensitive to variations in methodologies for treating emissions, dispersion, deposition, exposure, and toxicity. © 2011 Society for Risk Analysis.

Cost effectiveness of ramipril treatment for cardiovascular risk reduction.

PubMed

Malik, I S; Bhatia, V K; Kooner, J S

2001-05-01

To assess the cost effectiveness of ramipril treatment in patients at low, medium, and high risk of cardiovascular death. Population based cost effectiveness analysis from the perspective of the health care provider in the UK. Effectiveness was modelled using data from the HOPE (heart outcome prevention evaluation) trial. The life table method was used to predict mortality in a medium risk cohort, as in the HOPE trial (2.44% annual mortality), and in low and high risk groups (1% and 4.5% annual mortality, respectively). UK population using 1998 government actuary department data. Cost per life year gained at five years and lifetime treatment with ramipril. Cost effectiveness was pound36 600, pound13 600, and pound4000 per life year gained at five years and pound5300, pound1900, and pound100 per life year gained at 20 years (lifetime treatment) in low, medium, and high risk groups, respectively. Cost effectiveness at 20 years remained well below that of haemodialysis ( pound25 000 per life year gained) over a range of potential drug costs and savings. Treatment of the HOPE population would cost the UK National Health Service (NHS) an additional pound360 million but would prevent 12 000 deaths per annum. Ramipril is cost effective treatment for cardiovascular risk reduction in patients at medium, high, and low pretreatment risk, with a cost effectiveness comparable with the use of statins. Implementation of ramipril treatment in a medium risk population would result in a major reduction in cardiovascular deaths but would increase annual NHS spending by pound360 million.

Nonlinear reduction in risk for colorectal cancer by fruit and vegetable intake based on meta-analysis of prospective studies.

PubMed

Aune, Dagfinn; Lau, Rosa; Chan, Doris S M; Vieira, Rui; Greenwood, Darren C; Kampman, Ellen; Norat, Teresa

2011-07-01

The association between fruit and vegetable intake and colorectal cancer risk has been investigated by many studies but is controversial because of inconsistent results and weak observed associations. We summarized the evidence from cohort studies in categorical, linear, and nonlinear, dose-response meta-analyses. We searched PubMed for studies of fruit and vegetable intake and colorectal cancer risk that were published until the end of May 2010. We included 19 prospective studies that reported relative risk estimates and 95% confidence intervals (CIs) of colorectal cancer-associated with fruit and vegetable intake. Random effects models were used to estimate summary relative risks. The summary relative risk for the highest vs the lowest intake was 0.92 (95% CI: 0.86-0.99) for fruit and vegetables combined, 0.90 (95% CI: 0.83-0.98) for fruit, and 0.91 (95% CI: 0.86-0.96) for vegetables (P for heterogeneity=.24, .05, and .54, respectively). The inverse associations appeared to be restricted to colon cancer. In linear dose-response analysis, only intake of vegetables was significantly associated with colorectal cancer risk (summary relative risk=0.98; 95% CI: 0.97-0.99), per 100 g/d. However, significant inverse associations emerged in nonlinear models for fruits (Pnonlinearity<.001) and vegetables (Pnonlinearity=.001). The greatest risk reduction was observed when intake increased from very low levels of intake. There was generally little evidence of heterogeneity in the analyses and there was no evidence of small-study bias. Based on meta-analysis of prospective studies, there is a weak but statistically significant nonlinear inverse association between fruit and vegetable intake and colorectal cancer risk. Copyright © 2011 AGA Institute. Published by Elsevier Inc. All rights reserved.

Risk reduction in pediatric procedural sedation by application of an American Academy of Pediatrics/American Society of Anesthesiologists process model.

PubMed

Hoffman, George M; Nowakowski, Rhonda; Troshynski, Todd J; Berens, Richard J; Weisman, Steven J

2002-02-01

Guidelines for risk reduction during procedural sedation from the American Academy of Pediatrics (AAP) and the American Society of Anesthesiologists (ASA) rely on expert opinion and consensus. In this article, we tested the hypothesis that application of an AAP/ASA-structured model would reduce the risk of sedation-related adverse events. Prospectively coded sedation records were abstracted by a hospital quality improvement specialist with practical and administrative experience in pediatric sedation. Process variables included notation of nulla per os (NPO) status, performance of a guided risk assessment, assignment of ASA physical status score, obtaining informed consent, generation of a sedation plan, and assessment of sedation level using a quantitative scoring system. Content variables included adherence to AAP NPO guidelines, ASA class, target sedation level, actual sedation level, age, procedure, and drugs used. Complication risk was assessed by logistic regression and Mantel-Haenszel odds ratios (OR). Complications were identified in 40 of 960 records (4.2%). The complication rate was 34 of 895 (3.8%) with planned conscious sedation and 6 of 65 (9.2%) with planned deep sedation ([DS]; OR: 2.6). Complications were reduced by performance of structured risk assessment (OR: 0.10), adherence to all process guidelines (OR: 0), and avoiding actual DS (OR: 0.4). The only drug associated with higher risk was chloral hydrate (OR: 2.1). Failure to adhere to NPO guidelines did not increase risk in this assessment; however, the adverse event rate was 0 if all process guidelines were followed. Presedation assessment reduces complications of DS. Repeated assessment of sedation score reduces the risk of inadvertent DS. The data provide direct evidence that AAP/ASA guidelines can reduce the risk of pediatric procedural sedation.

[Risk, uncertainty and ignorance in medicine].

PubMed

Rørtveit, G; Strand, R

2001-04-30

Exploration of healthy patients' risk factors for disease has become a major medical activity. The rationale behind primary prevention through exploration and therapeutic risk reduction is not separated from the theoretical assumption that every form of uncertainty can be expressed as risk. Distinguishing "risk" (as quantitative probabilities in a known sample space), "strict uncertainty" (when the sample space is known, but probabilities of events cannot be quantified) and "ignorance" (when the sample space is not fully known), a typical clinical situation (primary risk of coronary disease) is analysed. It is shown how strict uncertainty and sometimes ignorance can be present, in which case the orthodox decision theoretical rationale for treatment breaks down. For use in such cases, a different ideal model of rationality is proposed, focusing on the patient's considered reasons. This model has profound implications for the current understanding of medical professionalism as well as for the design of clinical guidelines.

Impacts of variability in cellulosic biomass yields on energy security.

PubMed

Mullins, Kimberley A; Matthews, H Scott; Griffin, W Michael; Anex, Robert

2014-07-01

The practice of modeling biomass yields on the basis of deterministic point values aggregated over space and time obscures important risks associated with large-scale biofuel use, particularly risks related to drought-induced yield reductions that may become increasingly frequent under a changing climate. Using switchgrass as a case study, this work quantifies the variability in expected yields over time and space through switchgrass growth modeling under historical and simulated future weather. The predicted switchgrass yields across the United States range from about 12 to 19 Mg/ha, and the 80% confidence intervals range from 20 to 60% of the mean. Average yields are predicted to decrease with increased temperatures and weather variability induced by climate change. Feedstock yield variability needs to be a central part of modeling to ensure that policy makers acknowledge risks to energy supplies and develop strategies or contingency plans that mitigate those risks.

Usefulness and limitations of global flood risk models

NASA Astrophysics Data System (ADS)

Ward, Philip; Jongman, Brenden; Salamon, Peter; Simpson, Alanna; Bates, Paul; De Groeve, Tom; Muis, Sanne; Coughlan de Perez, Erin; Rudari, Roberto; Mark, Trigg; Winsemius, Hessel

2016-04-01

Global flood risk models are now a reality. Initially, their development was driven by a demand from users for first-order global assessments to identify risk hotspots. Relentless upward trends in flood damage over the last decade have enhanced interest in such assessments. The adoption of the Sendai Framework for Disaster Risk Reduction and the Warsaw International Mechanism for Loss and Damage Associated with Climate Change Impacts have made these efforts even more essential. As a result, global flood risk models are being used more and more in practice, by an increasingly large number of practitioners and decision-makers. However, they clearly have their limits compared to local models. To address these issues, a team of scientists and practitioners recently came together at the Global Flood Partnership meeting to critically assess the question 'What can('t) we do with global flood risk models?'. The results of this dialogue (Ward et al., 2013) will be presented, opening a discussion on similar broader initiatives at the science-policy interface in other natural hazards. In this contribution, examples are provided of successful applications of global flood risk models in practice (for example together with the World Bank, Red Cross, and UNISDR), and limitations and gaps between user 'wish-lists' and model capabilities are discussed. Finally, a research agenda is presented for addressing these limitations and reducing the gaps. Ward et al., 2015. Nature Climate Change, doi:10.1038/nclimate2742

A Modelling Approach to Estimate the Impact of Sodium Reduction in Soups on Cardiovascular Health in the Netherlands

PubMed Central

Bruins, Maaike J.; Dötsch-Klerk, Mariska; Matthee, Joep; Kearney, Mary; van Elk, Kathelijn; Weber, Peter; Eggersdorfer, Manfred

2015-01-01

Hypertension is a major modifiable risk factor for cardiovascular disease and mortality, which could be lowered by reducing dietary sodium. The potential health impact of a product reformulation in the Netherlands was modelled, selecting packaged soups containing on average 25% less sodium as an example of an achievable product reformulation when implemented gradually. First, the blood pressure lowering resulting from sodium intake reduction was modelled. Second, the predicted blood pressure lowering was translated into potentially preventable incidence and mortality cases from stroke, acute myocardial infarction (AMI), angina pectoris, and heart failure (HF) implementing one year salt reduction. Finally, the potentially preventable subsequent lifetime Disability-Adjusted Life Years (DALYs) were calculated. The sodium reduction in soups might potentially reduce the incidence and mortality of stroke by approximately 0.5%, AMI and angina by 0.3%, and HF by 0.2%. The related burden of disease could be reduced by approximately 800 lifetime DALYs. This modelling approach can be used to provide insight into the potential public health impact of sodium reduction in specific food products. The data demonstrate that an achievable food product reformulation to reduce sodium can potentially benefit public health, albeit modest. When implemented across multiple product categories and countries, a significant health impact could be achieved. PMID:26393647

Measuring the effect of fuel treatments on forest carbon using landscape risk analysis

Treesearch

A.A. Ager; M.A. Finney; A. McMahan; J. Carthcart

2010-01-01

Wildfire simulation modelling was used to examine whether fuel reduction treatments can potentially reduce future wildfire emissions and provide carbon benefits. In contrast to previous reports, the current study modelled landscape scale effects of fuel treatments on fire spread and intensity, and used a probabilistic framework to quantify wildfire effects on carbon...

Using risk elasticity to prioritize risk reduction strategies for geographical areas and industry sectors.

PubMed

Li, Pei-Chiun; Ma, Hwong-Wen

2016-01-25

The total quantity of chemical emissions does not take into account their chemical toxicity, and fails to be an accurate indicator of the potential impact on human health. The sources of released contaminants, and therefore, the potential risk, also differ based on geography. Because of the complexity of the risk, there is no integrated method to evaluate the effectiveness of risk reduction. Therefore, this study developed a method to incorporate the spatial variability of emissions into human health risk assessment to evaluate how to effectively reduce risk using risk elasticity analysis. Risk elasticity analysis, the percentage change in risk in response to the percentage change in emissions, was adopted in this study to evaluate the effectiveness and efficiency of risk reduction. The results show that the main industry sectors are different in each area, and that high emission in an area does not correspond to high risk. Decreasing the high emissions of certain sectors in an area does not result in efficient risk reduction in this area. This method can provide more holistic information for risk management, prevent the development of increased risk, and prioritize the risk reduction strategies. Copyright © 2015 Elsevier B.V. All rights reserved.

What motivates individuals to protect themselves from risks: the case of wildland fires.

PubMed

Martin, Ingrid M; Bender, Holly; Raish, Carol

2007-08-01

This research investigates the cognitive perceptual process that homeowners go through when faced with the decision to protect themselves from the risk of wildfires. This decision can be examined by looking at the interaction between the integrated protection motivation theory-transtheoretical model and different levels of homeowners' subjective knowledge related to wildfire risks. We investigated the role of motivation, decision stages of risk readiness, and subjective knowledge on the number of risk-mitigating actions undertaken by homeowners living in high-risk communities. The results indicate that homeowners who are in an early or precontemplative stage (both low and high subjective knowledge) as well as low knowledge contemplatives are motivated by their perceived degree of vulnerability to mitigate the risk. In contrast, high knowledge contemplatives' potential behavioral changes are more likely to be motivated by increasing their perceptions of the severity of the risk. Risk-mitigating behaviors undertaken by high knowledge action homeowners are influenced by their perceptions of risk severity, self-efficacy, and response efficacy. In contrast, the low knowledge action homeowners engage in risk reduction behaviors without the influence of any of the PMT variables; demonstrating their motivation to emulate others in their community. These results have implications for the type of information that should be used to effectively communicate risks in an effort to influence the diverse homeowner segments to engage in risk-reduction behaviors.

Can currently available advanced combustion biomass cook-stoves provide health relevant exposure reductions? Results from initial assessment of select commercial models in India.

PubMed

Sambandam, Sankar; Balakrishnan, Kalpana; Ghosh, Santu; Sadasivam, Arulselvan; Madhav, Satish; Ramasamy, Rengaraj; Samanta, Maitreya; Mukhopadhyay, Krishnendu; Rehman, Hafeez; Ramanathan, Veerabhadran

2015-03-01

Household air pollution from use of solid fuels is a major contributor to the national burden of disease in India. Currently available models of advanced combustion biomass cook-stoves (ACS) report significantly higher efficiencies and lower emissions in the laboratory when compared to traditional cook-stoves, but relatively little is known about household level exposure reductions, achieved under routine conditions of use. We report results from initial field assessments of six commercial ACS models from the states of Tamil Nadu and Uttar Pradesh in India. We monitored 72 households (divided into six arms to each receive an ACS model) for 24-h kitchen area concentrations of PM2.5 and CO before and (1-6 months) after installation of the new stove together with detailed information on fixed and time-varying household characteristics. Detailed surveys collected information on user perceptions regarding acceptability for routine use. While the median percent reductions in 24-h PM2.5 and CO concentrations ranged from 2 to 71% and 10-66%, respectively, concentrations consistently exceeded WHO air quality guideline values across all models raising questions regarding the health relevance of such reductions. Most models were perceived to be sub-optimally designed for routine use often resulting in inappropriate and inadequate levels of use. Household concentration reductions also run the risk of being compromised by high ambient backgrounds from community level solid-fuel use and contributions from surrounding fossil fuel sources. Results indicate that achieving health relevant exposure reductions in solid-fuel using households will require integration of emissions reductions with ease of use and adoption at community scale, in cook-stove technologies. Imminent efforts are also needed to accelerate the progress towards cleaner fuels.

Incorporating Truncating Variants in PALB2, CHEK2 and ATM into the BOADICEA Breast Cancer Risk Model

PubMed Central

Lee, Andrew J.; Cunningham, Alex P.; Tischkowitz, Marc; Simard, Jacques; Pharoah, Paul D.; Easton, Douglas F.; Antoniou, Antonis C.

2016-01-01

Purpose The proliferation of gene-panel testing precipitates the need for a breast cancer (BC) risk model that incorporates the effects of mutations in several genes and family history (FH). We extended the BOADICEA model to incorporate the effects of truncating variants in PALB2, CHEK2 and ATM. Methods The BC incidence was modelled via the explicit effects of truncating variants in BRCA1/2, PALB2, CHEK2 and ATM and other unobserved genetic effects using segregation analysis methods. Results The predicted average BC risk by age 80 for an ATM mutation carrier is 28%, 30% for CHEK2, 50% for PALB2, 74% for BRCA1 and BRCA2. However, the BC risks are predicted to increase with FH-burden. In families with mutations, predicted risks for mutation-negative members depend on both FH and the specific mutation. The reduction in BC risk after negative predictive-testing is greatest when a BRCA1 mutation is identified in the family, but for women whose relatives carry a CHEK2 or ATM mutation, the risks decrease slightly. Conclusions The model may be a valuable tool for counselling women who have undergone gene-panel testing for providing consistent risks and harmonizing their clinical management. A web-application can be used to obtain BC- risks in clinical practice (http://ccge.medschl.cam.ac.uk/boadicea/). PMID:27464310

Incorporating truncating variants in PALB2, CHEK2, and ATM into the BOADICEA breast cancer risk model.

PubMed

Lee, Andrew J; Cunningham, Alex P; Tischkowitz, Marc; Simard, Jacques; Pharoah, Paul D; Easton, Douglas F; Antoniou, Antonis C

2016-12-01

The proliferation of gene panel testing precipitates the need for a breast cancer (BC) risk model that incorporates the effects of mutations in several genes and family history (FH). We extended the BOADICEA model to incorporate the effects of truncating variants in PALB2, CHEK2, and ATM. The BC incidence was modeled via the explicit effects of truncating variants in BRCA1/2, PALB2, CHEK2, and ATM and other unobserved genetic effects using segregation analysis methods. The predicted average BC risk by age 80 for an ATM mutation carrier is 28%, 30% for CHEK2, 50% for PALB2, and 74% for BRCA1 and BRCA2. However, the BC risks are predicted to increase with FH burden. In families with mutations, predicted risks for mutation-negative members depend on both FH and the specific mutation. The reduction in BC risk after negative predictive testing is greatest when a BRCA1 mutation is identified in the family, but for women whose relatives carry a CHEK2 or ATM mutation, the risks decrease slightly. The model may be a valuable tool for counseling women who have undergone gene panel testing for providing consistent risks and harmonizing their clinical management. A Web application can be used to obtain BC risks in clinical practice (http://ccge.medschl.cam.ac.uk/boadicea/).Genet Med 18 12, 1190-1198.

Valuing Drinking Water Risk Reductions Using the Contingent Valuation Method: A Methodological Study of Risks from THM and Giardia (1986)

EPA Pesticide Factsheets

This study develops contingent valuation methods for measuring the benefits of mortality and morbidity drinking water risk reductions. The major effort was devoted to developing and testing a survey instrument to value low-level risk reductions.

Space Launch System NASA Research Announcement Advanced Booster Engineering Demonstration and/or Risk Reduction

NASA Technical Reports Server (NTRS)

Crumbly, Christopher M.; Craig, Kellie D.

2011-01-01

The intent of the Advanced Booster Engineering Demonstration and/or Risk Reduction (ABEDRR) effort is to: (1) Reduce risks leading to an affordable Advanced Booster that meets the evolved capabilities of SLS (2) Enable competition by mitigating targeted Advanced Booster risks to enhance SLS affordability. Key Concepts (1) Offerors must propose an Advanced Booster concept that meets SLS Program requirements (2) Engineering Demonstration and/or Risk Reduction must relate to the Offeror s Advanced Booster concept (3) NASA Research Announcement (NRA) will not be prescriptive in defining Engineering Demonstration and/or Risk Reduction

Effects of Screening and Systemic Adjuvant Therapy on ER-Specific US Breast Cancer Mortality

PubMed Central

Munoz, Diego; Near, Aimee M.; van Ravesteyn, Nicolien T.; Lee, Sandra J.; Schechter, Clyde B.; Alagoz, Oguzhan; Berry, Donald A.; Burnside, Elizabeth S.; Chang, Yaojen; Chisholm, Gary; de Koning, Harry J.; Ali Ergun, Mehmet; Heijnsdijk, Eveline A. M.; Huang, Hui; Stout, Natasha K.; Sprague, Brian L.; Trentham-Dietz, Amy; Mandelblatt, Jeanne S.

2014-01-01

Background Molecular characterization of breast cancer allows subtype-directed interventions. Estrogen receptor (ER) is the longest-established molecular marker. Methods We used six established population models with ER-specific input parameters on age-specific incidence, disease natural history, mammography characteristics, and treatment effects to quantify the impact of screening and adjuvant therapy on age-adjusted US breast cancer mortality by ER status from 1975 to 2000. Outcomes included stage-shifts and absolute and relative reductions in mortality; sensitivity analyses evaluated the impact of varying screening frequency or accuracy. Results In the year 2000, actual screening and adjuvant treatment reduced breast cancer mortality by a median of 17 per 100000 women (model range = 13–21) and 5 per 100000 women (model range = 3–6) for ER-positive and ER-negative cases, respectively, relative to no screening and no adjuvant treatment. For ER-positive cases, adjuvant treatment made a higher relative contribution to breast cancer mortality reduction than screening, whereas for ER-negative cases the relative contributions were similar for screening and adjuvant treatment. ER-negative cases were less likely to be screen-detected than ER-positive cases (35.1% vs 51.2%), but when screen-detected yielded a greater survival gain (five-year breast cancer survival = 35.6% vs 30.7%). Screening biennially would have captured a lower proportion of mortality reduction than annual screening for ER-negative vs ER-positive cases (model range = 80.2%–87.8% vs 85.7%–96.5%). Conclusion As advances in risk assessment facilitate identification of women with increased risk of ER-negative breast cancer, additional mortality reductions could be realized through more frequent targeted screening, provided these benefits are balanced against screening harms. PMID:25255803

Associations of key diet-quality indexes with mortality in the Multiethnic Cohort: the Dietary Patterns Methods Project.

PubMed

Harmon, Brook E; Boushey, Carol J; Shvetsov, Yurii B; Ettienne, Reynolette; Reedy, Jill; Wilkens, Lynne R; Le Marchand, Loic; Henderson, Brian E; Kolonel, Laurence N

2015-03-01

Healthy dietary patterns have been linked positively with health and longevity. However, prospective studies in diverse populations in the United States addressing dietary patterns and mortality are limited. We assessed the ability of the following 4 diet-quality indexes [the Healthy Eating Index-2010 (HEI-2010), the Alternative HEI-2010 (AHEI-2010), the alternate Mediterranean diet score (aMED), and the Dietary Approaches to Stop Hypertension (DASH)] to predict the reduction in risk of mortality from all causes, cardiovascular disease (CVD), and cancer. White, African American, Native Hawaiian, Japanese American, and Latino adults (n = 215,782) from the Multiethnic Cohort completed a quantitative food-frequency questionnaire. Scores for each dietary index were computed and divided into quintiles for men and women. Mortality was documented over 13-18 y of follow-up. HRs and 95% CIs were computed by using adjusted Cox models. High HEI-2010, AHEI-2010, aMED, and DASH scores were all inversely associated with risk of mortality from all causes, CVD, and cancer in both men and women (P-trend < 0.0001 for all models). For men, the HEI-2010 was consistently associated with a reduction in risk of mortality for all causes (HR: 0.75; 95% CI: 0.71, 0.79), CVD (HR: 0.74; 95% CI: 0.69, 0.81), and cancer (HR: 0.76; 95% CI: 0.70, 0.83) when lowest and highest quintiles were compared. In women, the AHEI and aMED showed large reductions for all-cause mortality (HR: 0.78; 95% CI: 0.74, 0.82), the AHEI showed large reductions for CVD (HR: 0.76; 95% CI: 0.69, 0.83), and the aMED showed large reductions for cancer (HR: 0.84; 95% CI: 0.76, 0. 92). These results, in a US multiethnic population, suggest that consuming a dietary pattern that achieves a high diet-quality index score is associated with lower risk of mortality from all causes, CVD, and cancer in adult men and women. © 2015 American Society for Nutrition.

Cost benefits of ergonomic intervention in a hospital: a preliminary study using Oxenburgh's productivity model.

PubMed

Busse, M; Bridger, B

1997-09-01

This case study of absenteeism amongst nurses was carried out using the productivity model of Oxenburgh (1991). Data on absenteeism amongst nurses were collected from one private hospital. Areas of high risk of injury were identified and the presence of ergonomic risk factors determined. The productivity model was used to calculate the costs of absenteeism in terms of actual rates of pay and loss of productivity. Potential benefits resulting from ergonomic improvements to the work environment were estimated using the productivity model. The model predicted that even modest reductions in injury would justify the additional expenditure in a relatively short period of time. Further investigations of injuries to nurses in both State and Private Sector Hospitals seem to be justified.

Leisure-time physical activity and incident metabolic syndrome: a systematic review and dose-response meta-analysis of cohort studies.

PubMed

Zhang, Dongdong; Liu, Xuejiao; Liu, Yu; Sun, Xizhuo; Wang, Bingyuan; Ren, Yongcheng; Zhao, Yang; Zhou, Junmei; Han, Chengyi; Yin, Lei; Zhao, Jingzhi; Shi, Yuanyuan; Zhang, Ming; Hu, Dongsheng

2017-10-01

Leisure-time physical activity (LTPA) has been suggested to reduce risk of metabolic syndrome (MetS). However, a quantitative comprehensive assessment of the dose-response association between LTPA and incident MetS has not been reported. We performed a meta-analysis of studies assessing the risk of MetS with LTPA. MEDLINE via PubMed and EMBase databases were searched for relevant articles published up to March 13, 2017. Random-effects models were used to estimate the summary relative risk (RR) of MetS with LTPA. Restricted cubic splines were used to model the dose-response association. We identified 16 articles (18 studies including 76,699 participants and 13,871 cases of MetS). We found a negative linear association between LTPA and incident MetS, with a reduction of 8% in MetS risk per 10 metabolic equivalent of task (MET) h/week increment. According to the restricted cubic splines model, risk of MetS was reduced 10% with LTPA performed according to the basic guideline-recommended level of 150min of moderate PA (MPA) per week (10METh/week) versus inactivity (RR=0.90, 95% CI 0.86-0.94). It was reduced 20% and 53% with LTPA at twice (20METh/week) and seven times (70METh/week) the basic recommended level (RR=0.80, 95% CI 0.74-0.88 and 0.47, 95% CI 0.34-0.64, respectively). Our findings provide quantitative data suggesting that any amount of LTPA is better than none and that LTPA substantially exceeding the current LTPA guidelines is associated with an additional reduction in MetS risk. Copyright © 2017. Published by Elsevier Inc.

Development and validation of a risk model for identification of non-neutropenic, critically ill adult patients at high risk of invasive Candida infection: the Fungal Infection Risk Evaluation (FIRE) Study.

PubMed

Harrison, D; Muskett, H; Harvey, S; Grieve, R; Shahin, J; Patel, K; Sadique, Z; Allen, E; Dybowski, R; Jit, M; Edgeworth, J; Kibbler, C; Barnes, R; Soni, N; Rowan, K

2013-02-01

There is increasing evidence that invasive fungal disease (IFD) is more likely to occur in non-neutropenic patients in critical care units. A number of randomised controlled trials (RCTs) have evaluated antifungal prophylaxis in non-neutropenic, critically ill patients, demonstrating a reduction in the risk of proven IFD and suggesting a reduction in mortality. It is necessary to establish a method to identify and target antifungal prophylaxis at those patients at highest risk of IFD, who stand to benefit most from any antifungal prophylaxis strategy. To develop and validate risk models to identify non-neutropenic, critically ill adult patients at high risk of invasive Candida infection, who would benefit from antifungal prophylaxis, and to assess the cost-effectiveness of targeting antifungal prophylaxis to high-risk patients based on these models. Systematic review, prospective data collection, statistical modelling, economic decision modelling and value of information analysis. Ninety-six UK adult general critical care units. Consecutive admissions to participating critical care units. None. Invasive fungal disease, defined as a blood culture or sample from a normally sterile site showing yeast/mould cells in a microbiological or histopathological report. For statistical and economic modelling, the primary outcome was invasive Candida infection, defined as IFD-positive for Candida species. Systematic review: Thirteen articles exploring risk factors, risk models or clinical decision rules for IFD in critically ill adult patients were identified. Risk factors reported to be significantly associated with IFD were included in the final data set for the prospective data collection. Data were collected on 60,778 admissions between July 2009 and March 2011. Overall, 383 patients (0.6%) were admitted with or developed IFD. The majority of IFD patients (94%) were positive for Candida species. The most common site of infection was blood (55%). The incidence of IFD identified in unit was 4.7 cases per 1000 admissions, and for unit-acquired IFD was 3.2 cases per 1000 admissions. Statistical modelling: Risk models were developed at admission to the critical care unit, 24 hours and the end of calendar day 3. The risk model at admission had fair discrimination (c-index 0.705). Discrimination improved at 24 hours (c-index 0.823) and this was maintained at the end of calendar day 3 (c-index 0.835). There was a drop in model performance in the validation sample. Economic decision model: Irrespective of risk threshold, incremental quality-adjusted life-years of prophylaxis strategies compared with current practice were positive but small compared with the incremental costs. Incremental net benefits of each prophylaxis strategy compared with current practice were all negative. Cost-effectiveness acceptability curves showed that current practice was the strategy most likely to be cost-effective. Across all parameters in the decision model, results indicated that the value of further research for the whole population of interest might be high relative to the research costs. The results of the Fungal Infection Risk Evaluation (FIRE) Study, derived from a highly representative sample of adult general critical care units across the UK, indicated a low incidence of IFD among non-neutropenic, critically ill adult patients. IFD was associated with substantially higher mortality, more intensive organ support and longer length of stay. Risk modelling produced simple risk models that provided acceptable discrimination for identifying patients at 'high risk' of invasive Candida infection. Results of the economic model suggested that the current most cost-effective treatment strategy for prophylactic use of systemic antifungal agents among non-neutropenic, critically ill adult patients admitted to NHS adult general critical care units is a strategy of no risk assessment and no antifungal prophylaxis. Funding for this study was provided by the Health Technology Assessment programme of the National Institute for Health Research.

The dynamics of human-water systems: comparing observations and simulations

NASA Astrophysics Data System (ADS)

Di Baldassarre, G.; Ciullo, A.; Castellarin, A.; Viglione, A.

2016-12-01

Real-word data of human-flood interactions are compared to the results of stylized socio-hydrological models. These models build on numerous examples from different parts of the world and consider two main prototypes of floodplain systems. Green systems, whereby societies cope with flood risk via non-structural measures, e.g. resettling out of floodplain areas ("living with floods" approach); and Technological systems, whereby societies cope with flood risk by also via structural measures, e.g. building levees ("fighting floods" approach). The floodplain systems of the Tiber River in Rome and the Ganges-Brahmaputra-Meghna Rivers in Bangladesh systems are used as case studies. The comparison of simulations and observations shows the potential of socio-hydrological models in capturing the dynamics of risk emerging from the interactions and feedbacks between social and hydrological processes, such as learning and forgetting effects. It is then discussed how the proposed approach can contribute to a better understanding of flood risk changes and therefore support the process of disaster risk reduction.

The economics and ethics of aerosol geoengineering strategies

NASA Astrophysics Data System (ADS)

Goes, Marlos; Keller, Klaus; Tuana, Nancy

2010-05-01

Anthropogenic greenhouse gas emissions are changing the Earth's climate and impose substantial risks for current and future generations. What are scientifically sound, economically viable, and ethically defendable strategies to manage these climate risks? Ratified international agreements call for a reduction of greenhouse gas emissions to avoid dangerous anthropogenic interference with the climate system. Recent proposals, however, call for a different approach: geoengineering climate by injecting aerosol precursors into the stratosphere. Published economic studies typically neglect the risks of aerosol geoengineering due to (i) a potential failure to sustain the aerosol forcing and (ii) due to potential negative impacts associated with aerosol forcings. Here we use a simple integrated assessment model of climate change to analyze potential economic impacts of aerosol geoengineering strategies over a wide range of uncertain parameters such as climate sensitivity, the economic damages due to climate change, and the economic damages due to aerosol geoengineering forcings. The simplicity of the model provides the advantages of parsimony and transparency, but it also imposes considerable caveats. For example, the analysis is based on a globally aggregated model and is hence silent on intragenerational distribution of costs and benefits. In addition, the analysis neglects the effects of future learning and is based on a simple representation of climate change impacts. We use this integrated assessment model to show three main points. First, substituting aerosol geoengineering for the reduction of greenhouse gas emissions can fail the test of economic efficiency. One key to this finding is that a failure to sustain the aerosol forcing can lead to sizeable and abrupt climatic changes. The monetary damages due to such a discontinuous aerosol geoengineering can dominate the cost-benefit analysis because the monetary damages of climate change are expected to increase with the rate of change. Second, the relative contribution of aerosol geoengineering to an economically optimal portfolio hinges critically on deeply uncertain estimates of the damages due to aerosol forcing. Even if we assume that aerosol forcing could be deployed continuously, the aerosol geoengineering does not considerably displace the reduction of greenhouse gas emissions in the simple economic optimal growth model until the damages due to the aerosol forcing are rather low. Third, deploying aerosol geoengineering may also fail an ethical test regarding issues of intergenerational justice. Substituting aerosol geoengineering for reducing greenhouse gas emissions constitutes a conscious risk transfer to future generations, for example due to the increased risk of future abrupt climate change. This risk transfer is in tension with the requirement of intergenerational justice that present generations should not create benefits for themselves in exchange for burdens on future generations.

Meta-analysis: Does garlic intake reduce risk of gastric cancer?

PubMed

Kodali, R T; Eslick, Guy D

2015-01-01

In the past 2 decades, various epidemiological studies investigated whether garlic can positively modify the risk of gastric cancer. Garlic contains numerous sulfide compounds, including diallyl trisulfide, which have anticarcinogenic properties. We conducted a meta-analysis to determine if garlic intake reduces the risk of gastric cancer. An electronic search of MEDLINE, PubMed, and EMBASE to June 2014 was completed. There were 14 case control studies, 2 randomized controlled studies, and 1 cohort study that fulfilled our inclusion criteria. We used a random effects model to calculate pooled odds ratios (OR) and 95% confidence intervals (CIs) for risk of gastric cancer with garlic consumption. Meta-analysis of a total of 8,621 cases and 14,889 controls was conducted. Significant variability in duration of garlic intake and reference categories for amount of intake was noted. High, low, and any garlic intake were all associated with reduced risk of gastric cancer. High intake had the most significant risk reduction, OR = 0.49 (95% CI: 0.38-0.62). Heterogeneity was low (I² = 30.85, P = 0.17). A more modest risk reduction was associated with low intake, OR = 0.75 (95% CI: 0.58-0.97). Half of the studies did not separate garlic intake into high or low amounts, intake was only noted as consumption vs. non-consumption. Any amount of consumption still showed a risk reduction similar to low intake, OR = 0.77 (95% CI: 0.60-1.00). Low and any amount of consumption showed moderate heterogeneity (58% and 45%, respectively). Garlic intake appears to be associated with reduced risk of gastric cancer. Further high quality studies are required to confirm this finding and to assess the amount of garlic that needs to be consumed for protective effect.

FMEA: a model for reducing medical errors.

PubMed

Chiozza, Maria Laura; Ponzetti, Clemente

2009-06-01

Patient safety is a management issue, in view of the fact that clinical risk management has become an important part of hospital management. Failure Mode and Effect Analysis (FMEA) is a proactive technique for error detection and reduction, firstly introduced within the aerospace industry in the 1960s. Early applications in the health care industry dating back to the 1990s included critical systems in the development and manufacture of drugs and in the prevention of medication errors in hospitals. In 2008, the Technical Committee of the International Organization for Standardization (ISO), licensed a technical specification for medical laboratories suggesting FMEA as a method for prospective risk analysis of high-risk processes. Here we describe the main steps of the FMEA process and review data available on the application of this technique to laboratory medicine. A significant reduction of the risk priority number (RPN) was obtained when applying FMEA to blood cross-matching, to clinical chemistry analytes, as well as to point-of-care testing (POCT).

Teaching medical students cancer risk reduction nutrition counseling using a multimedia program.

PubMed

Kolasa, K M; Jobe, A C; Miller, M G; Clay, M C

1999-03-01

There are many barriers to medical students receiving education about the linkage between nutrition and cancer, including the lack of role models and teachers and insufficient curricular time. We tested the use of a multimedia program as a possible solution to teaching diet-risk assessment and counseling skills. Images of Cancer Prevention, The Nutrition Link is a CD-ROM multimedia program that was developed and evaluated by 147 medical students. Pre-use and post-use surveys, computer log files, and recorded response sessions were used to determine the learner's 1) ease in using the program, 2) attitudes about the treatment of the content, 3) knowledge gain, and 4) attitudes about the role of physicians in nutrition assessment and counseling for cancer risk reduction. Students improved their knowledge of dietary guidelines for cancer risk reduction and made positive changes in their attitudes toward the role of physicians in dietary counseling. However, most students reported that they would not use the program unless it was required that they do so. The multimedia program was successful; it affected students' knowledge and attitudes concerning nutrition as a modifiable risk factor for some cancers. In addition, the design and delivery of the multimedia product was positively reviewed by the students for ease of access, message design, individualized instruction, and flexibility. Despite these favorable ratings, it was not clear that students would use the program unless required to do so.

Metabolic Mediators of the Association Between Adult Weight Gain and Colorectal Cancer: Data From the European Prospective Investigation into Cancer and Nutrition (EPIC) Cohort

PubMed Central

Aleksandrova, Krasimira; Schlesinger, Sabrina; Fedirko, Veronika; Jenab, Mazda; Bueno-de-Mesquita, Bas; Freisling, Heinz; Romieu, Isabelle; Pischon, Tobias; Kaaks, Rudolf; Gunter, Marc J.; Dahm, Christina C.; Overvad, Kim; Rostgaard-Hansen, Agnetha Linn; Tjønneland, Anne; Trichopoulou, Antonia; Bamia, Christina; Lagiou, Pagona; Agnoli, Claudia; Mattiello, Amalia; Bradbury, Kathryn; Khaw, Kay-Tee; Riboli, Elio; Boeing, Heiner

2017-01-01

Abstract Evidence indicates that gaining weight in adult life is associated with an elevated risk of colorectal cancer; however, biological mechanisms that may explain this association remain unclear. We evaluated the mediation effect of 20 different biomarkers on the relationship between adult weight gain and colorectal cancer, using data from a prospective nested case-control study of 452 incident cases diagnosed between 1992 and 2003 and matched within risk sets to 452 controls within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. The proportions of mediated effects (%) were estimated on the basis of differences in percent effect changes in conditional logistic regression models with and without additional adjustment for individual biomarkers. Greater adult weight gain (≥300 g/year vs. <300 g/year) was associated with a higher risk of colon cancer (multivariable-adjusted relative risk = 1.54, 95% confidence interval: 1.07, 2.24) but not rectal cancer (relative risk = 1.07, 95% confidence interval: 0.68, 1.66). This association was accounted for mostly by attained waist circumference (reduction of 61%) and by the biomarkers soluble leptin receptor (reduction of 43%) and glycated hemoglobin (reduction of 28%). These novel data suggest that the observed association between adult weight gain and colon cancer could be primarily explained by attained abdominal fatness and biomarkers of metabolic dysfunction. PMID:28387787

CD4 cell responses to combination antiretroviral therapy in patients starting therapy at high CD4 cell counts.

PubMed

Wright, Stephen T; Carr, Andrew; Woolley, Ian; Giles, Michelle; Hoy, Jennifer; Cooper, David A; Law, Matthew G

2011-09-01

To examine CD4 cell responses to combination antiretroviral therapy (cART) in patients enrolled in the Australian HIV Observational Database who commenced cART at CD4 cell counts >350 cells per microliter. CD4 cell counts were modelled using random effects, repeated measurement models in 432 HIV-infected adults from Australian HIV Observational Database who commenced their first cART regimen and had a baseline CD4 count >350 cells per microliter. Using published AIDS and/or death incidence rates combined with the data summarized by time and predicted CD4 cell count, we calculated the expected reduction in risk of an event for different starting baseline CD4 strata. Mean CD4 counts increased above 500 cells per microliter in all baseline CD4 strata by 12 months (means of 596, 717, and 881 cells/μL in baseline CD4 strata 351-500, 501-650, and >650 cells/μL, respectively) and after 72 months since initiating cART, mean CD4 cell counts (by increasing baseline CD4 strata) were 689, 746, 742 cells per microliter. The expected reduction in risk of mortality for baseline CD4 counts >650 cells per microliter relative to 351-500 cells per microliter was approximately 8%, an absolute risk reduction 0.33 per 1000 treated patient-years. Patients starting cART at high CD4 cell counts (>650 cells/μL) tend to maintain this immunological level over 6 years of follow-up. Patients starting from 351 to 500 CD4 cells per microliter achieve levels of >650 cells per microliter after approximately 3 years of cART. Initiating cART with a baseline CD4 count 501-650 or >650 cells per microliter relative to 351-500 cells per microliter indicated a minimal reduction in risk of AIDS incidence and/or death.

A pilot trial of integrated behavioral activation and sexual risk reduction counseling for HIV-uninfected men who have sex with men abusing crystal methamphetamine.

PubMed

Mimiaga, Matthew J; Reisner, Sari L; Pantalone, David W; O'Cleirigh, Conall; Mayer, Kenneth H; Safren, Steven A

2012-11-01

Crystal methamphetamine use is a major driver behind high-risk sexual behavior among men who have sex with men (MSM). Prior work suggests a cycle of continued crystal methamphetamine use and high-risk sex due to loss of the ability to enjoy other activities, which appears to be a side effect of this drug. Behavioral activation (BA) is a treatment for depression that involves learning to reengage in life's activities. We evaluated a novel intervention for crystal methamphetamine abuse and high-risk sex in MSM, incorporating 10 sessions of BA with integrated HIV risk reduction counseling (RR). Forty-four subjects were screened, of whom 21 met initial entry criteria. A total of 19 participants enrolled; 16 completed an open-phase study of the intervention. Behavioral assessments were conducted at baseline, 3 months postbaseline, and 6 months postbaseline. Linear mixed effects regression models were fit to assess change over time. Mean unprotected anal intercourse (UAI) episodes decreased significantly from baseline to acute postintervention (β=-4.86; 95% confidence interval [CI]=-7.48, -2.24; p=0.0015) and from baseline to 6 months postbaseline (β=-5.07; 95% CI=-7.85, -2.29; p=0.0017; test of fixed effects χ(2)=16.59; df=2,13; p=0.0002). On average, there was a significant decrease over time in the number of crystal methamphetamine episodes in the past 3 months (χ(2)=22.43; df=2,15; p<0.0001), and the number of days of crystal methamphetamine use in the past 30 days (χ(2)=9.21; df=2,15; p=0.010). Statistically significant reductions in depressive symptoms and poly-substance use were also maintained. Adding behavioral activation to risk reduction counseling for MSM with problematic crystal methamphetamine use may augment the potency of a risk reduction intervention for this population. Due to the small sample size and time intensive intervention, future testing in a randomized design is necessary to determine efficacy, with subsequent effectiveness testing.

A Pilot Trial of Integrated Behavioral Activation and Sexual Risk Reduction Counseling for HIV-Uninfected Men Who Have Sex with Men Abusing Crystal Methamphetamine

PubMed Central

Reisner, Sari L.; Pantalone, David W.; O'Cleirigh, Conall; Mayer, Kenneth H.; Safren, Steven A.

2012-01-01

Abstract Crystal methamphetamine use is a major driver behind high-risk sexual behavior among men who have sex with men (MSM). Prior work suggests a cycle of continued crystal methamphetamine use and high-risk sex due to loss of the ability to enjoy other activities, which appears to be a side effect of this drug. Behavioral activation (BA) is a treatment for depression that involves learning to reengage in life's activities. We evaluated a novel intervention for crystal methamphetamine abuse and high-risk sex in MSM, incorporating 10 sessions of BA with integrated HIV risk reduction counseling (RR). Forty-four subjects were screened, of whom 21 met initial entry criteria. A total of 19 participants enrolled; 16 completed an open-phase study of the intervention. Behavioral assessments were conducted at baseline, 3 months postbaseline, and 6 months postbaseline. Linear mixed effects regression models were fit to assess change over time. Mean unprotected anal intercourse (UAI) episodes decreased significantly from baseline to acute postintervention (β=−4.86; 95% confidence interval [CI]=−7.48, −2.24; p=0.0015) and from baseline to 6 months postbaseline (β=−5.07; 95% CI=−7.85, −2.29; p=0.0017; test of fixed effects χ2=16.59; df=2,13; p=0.0002). On average, there was a significant decrease over time in the number of crystal methamphetamine episodes in the past 3 months (χ2=22.43; df=2,15; p<0.0001), and the number of days of crystal methamphetamine use in the past 30 days (χ2=9.21; df=2,15; p=0.010). Statistically significant reductions in depressive symptoms and poly-substance use were also maintained. Adding behavioral activation to risk reduction counseling for MSM with problematic crystal methamphetamine use may augment the potency of a risk reduction intervention for this population. Due to the small sample size and time intensive intervention, future testing in a randomized design is necessary to determine efficacy, with subsequent effectiveness testing. PMID:23030605

Assessing human health risks from pesticide use in conventional and innovative cropping systems with the BROWSE model.

PubMed

Lammoglia, Sabine-Karen; Kennedy, Marc C; Barriuso, Enrique; Alletto, Lionel; Justes, Eric; Munier-Jolain, Nicolas; Mamy, Laure

2017-08-01

Reducing the risks and impacts of pesticide use on human health and on the environment is one of the objectives of the European Commission Directive 2009/128/EC in the quest for a sustainable use of pesticides. This Directive, developed through European national plans such as Ecophyto plan in France, promotes the introduction of innovative cropping systems relying, for example, on integrated pest management. Risk assessment for human health of the overall pesticide use in these innovative systems is required before the introduction of those systems to avoid that an innovation becomes a new problem. The objectives of this work were to assess and to compare (1) the human exposure to pesticides used in conventional and innovative cropping systems designed to reduce pesticide needs, and (2) the corresponding risks for human health. Humans (operator and residents) exposure to pesticides and risks for human health were assessed for each pesticide with the BROWSE model. Then, a method was proposed to represent the overall risk due to all pesticides used in one system. This study considers 3 conventional and 9 associated innovative cropping systems, and 116 plant protection products containing 89 different active substances (i.e. pesticides). The modelling results obtained with BROWSE showed that innovative cropping systems such as low input or no herbicide systems would reduce the risk for human health in comparison to the corresponding conventional cropping systems. On the contrary, BROWSE showed that conservation tillage system would lead to unacceptable risks in the conditions of our study, because of a high number of pesticide applications, and especially of some herbicides. For residents, the dermal absorption was the main exposure route while ingestion was found to be negligible. For operators, inhalation was also a predominant route of exposure. In general, human exposure to pesticides and human health risks were found to be correlated to the treatment frequency index TFI (number of registered doses of pesticides used per hectare for one copping season), confirming the relationship between the reduction of pesticide use and the reduction of risks. Assessment with the BROWSE model helped to identify cropping systems with decreased risks from pesticides for human health and to propose some improvements to the cropping systems by identifying the pesticides that led to unacceptable risks. Copyright © 2017 Elsevier Ltd. All rights reserved.

Human Health and Economic Impacts of Ozone Reductions by Income Group.

PubMed

Saari, Rebecca K; Thompson, Tammy M; Selin, Noelle E

2017-02-21

Low-income households may be disproportionately affected by ozone pollution and ozone policy. We quantify how three factors affect the relative benefits of ozone policies with household income: (1) unequal ozone reductions; (2) policy delay; and (3) economic valuation methods. We model ozone concentrations under baseline and policy conditions across the full continental United States to estimate the distribution of ozone-related health impacts across nine income groups. We enhance an economic model to include these impacts across household income categories, and present its first application to evaluate the benefits of ozone reductions for low-income households. We find that mortality incidence rates decrease with increasing income. Modeled ozone levels yield a median of 11 deaths per 100 000 people in 2005. Proposed policy reduces these rates by 13%. Ozone reductions are highest among low-income households, which increases their relative welfare gains by up to 4% and decreases them for the rich by up to 8%. The median value of reductions in 2015 is either $30 billion (in 2006 U.S. dollars) or $1 billion if reduced mortality risks are valued with willingness-to-pay or as income from increased life expectancy. Ozone reductions were relatively twice as beneficial for the lowest- compared to the highest-income households. The valuation approach affected benefits more than a policy delay or differential ozone reductions with income.

Growing evidence for human health benefits of boron

USDA-ARS?s Scientific Manuscript database

Growing evidence from numerous laboratories using a variety of experimental models shows that boron is a bioactive beneficial, perhaps essential, element for humans. Reported beneficial actions of boron include arthritis alleviation or risk reduction; bone growth and maintenance; central nervous sys...

The CHOP postnatal weight gain, birth weight, and gestational age retinopathy of prematurity risk model.

PubMed

Binenbaum, Gil; Ying, Gui-Shuang; Quinn, Graham E; Huang, Jiayan; Dreiseitl, Stephan; Antigua, Jules; Foroughi, Negar; Abbasi, Soraya

2012-12-01

To develop a birth weight (BW), gestational age (GA), and postnatal-weight gain retinopathy of prematurity (ROP) prediction model in a cohort of infants meeting current screening guidelines. Multivariate logistic regression was applied retrospectively to data from infants born with BW less than 1501 g or GA of 30 weeks or less at a single Philadelphia hospital between January 1, 2004, and December 31, 2009. In the model, BW, GA, and daily weight gain rate were used repeatedly each week to predict risk of Early Treatment of Retinopathy of Prematurity type 1 or 2 ROP. If risk was above a cut-point level, examinations would be indicated. Of 524 infants, 20 (4%) had type 1 ROP and received laser treatment; 28 (5%) had type 2 ROP. The model (Children's Hospital of Philadelphia [CHOP]) accurately predicted all infants with type 1 ROP; missed 1 infant with type 2 ROP, who did not require laser treatment; and would have reduced the number of infants requiring examinations by 49%. Raising the cut point to miss one type 1 ROP case would have reduced the need for examinations by 79%. Using daily weight measurements to calculate weight gain rate resulted in slightly higher examination reduction than weekly measurements. The BW-GA-weight gain CHOP ROP model demonstrated accurate ROP risk assessment and a large reduction in the number of ROP examinations compared with current screening guidelines. As a simple logistic equation, it can be calculated by hand or represented as a nomogram for easy clinical use. However, larger studies are needed to achieve a highly precise estimate of sensitivity prior to clinical application.

Predictors and moderators of outcomes of HIV/STD sex risk reduction interventions in substance abuse treatment programs: a pooled analysis of two randomized controlled trials.

PubMed

Crits-Christoph, Paul; Gallop, Robert; Sadicario, Jaclyn S; Markell, Hannah M; Calsyn, Donald A; Tang, Wan; He, Hua; Tu, Xin; Woody, George

2014-01-16

The objective of the current study was to examine predictors and moderators of response to two HIV sexual risk interventions of different content and duration for individuals in substance abuse treatment programs. Participants were recruited from community drug treatment programs participating in the National Institute on Drug Abuse Clinical Trials Network (CTN). Data were pooled from two parallel randomized controlled CTN studies (one with men and one with women) each examining the impact of a multi-session motivational and skills training program, in comparison to a single-session HIV education intervention, on the degree of reduction in unprotected sex from baseline to 3- and 6- month follow-ups. The findings were analyzed using a zero-inflated negative binomial (ZINB) model. Severity of drug use (p < .01), gender (p < .001), and age (p < .001) were significant main effect predictors of number of unprotected sexual occasions (USOs) at follow-up in the non-zero portion of the ZINB model (men, younger participants, and those with greater severity of drug/alcohol abuse have more USOs). Monogamous relationship status (p < .001) and race/ethnicity (p < .001) were significant predictors of having at least one USO vs. none (monogamous individuals and African Americans were more likely to have at least one USO). Significant moderators of intervention effectiveness included recent sex under the influence of drugs/alcohol (p < .01 in non-zero portion of model), duration of abuse of primary drug (p < .05 in non-zero portion of model), and Hispanic ethnicity (p < .01 in the zero portion, p < .05 in the non-zero portion of model). These predictor and moderator findings point to ways in which patients may be selected for the different HIV sexual risk reduction interventions and suggest potential avenues for further development of the interventions for increasing their effectiveness within certain subgroups.

The relationship between health risks and health and productivity costs among employees at Pepsi Bottling Group.

PubMed

Henke, Rachel M; Carls, Ginger S; Short, Meghan E; Pei, Xiaofei; Wang, Shaohung; Moley, Susan; Sullivan, Mark; Goetzel, Ron Z

2010-05-01

To evaluate relationships between modifiable health risks and costs and measure potential cost savings from risk reduction programs. Health risk information from active Pepsi Bottling Group employees who completed health risk assessments between 2004 and 2006 (N = 11,217) were linked to medical care, workers' compensation, and short-term disability cost data. Ten health risks were examined. Multivariate analyses were performed to estimate costs associated with having high risk, holding demographics, and other risks constant. Potential savings from risk reduction were estimated. High risk for weight, blood pressure, glucose, and cholesterol had the greatest impact on total costs. A one-percentage point annual reduction in the health risks assessed would yield annual per capita savings of $83.02 to $103.39. Targeted programs that address modifiable health risks are expected to produce substantial cost reductions in multiple benefit categories.

Optimizing spacecraft design - optimization engine development : progress and plans

NASA Technical Reports Server (NTRS)

Cornford, Steven L.; Feather, Martin S.; Dunphy, Julia R; Salcedo, Jose; Menzies, Tim

2003-01-01

At JPL and NASA, a process has been developed to perform life cycle risk management. This process requires users to identify: goals and objectives to be achieved (and their relative priorities), the various risks to achieving those goals and objectives, and options for risk mitigation (prevention, detection ahead of time, and alleviation). Risks are broadly defined to include the risk of failing to design a system with adequate performance, compatibility and robustness in addition to more traditional implementation and operational risks. The options for mitigating these different kinds of risks can include architectural and design choices, technology plans and technology back-up options, test-bed and simulation options, engineering models and hardware/software development techniques and other more traditional risk reduction techniques.

Afghanistan Multi-Risk Assessment to Natural Hazards

NASA Astrophysics Data System (ADS)

Diermanse, Ferdinand; Daniell, James; Pollino, Maurizio; Glover, James; Bouwer, Laurens; de Bel, Mark; Schaefer, Andreas; Puglisi, Claudio; Winsemius, Hessel; Burzel, Andreas; Ammann, Walter; Aliparast, Mojtaba; Jongman, Brenden; Ranghieri, Federica; Fallesen, Ditte

2017-04-01

The geographical location of Afghanistan and years of environmental degradation in the country make Afghanistan highly prone to intense and recurring natural hazards such as flooding, earthquakes, snow avalanches, landslides, and droughts. These occur in addition to man-made disasters resulting in the frequent loss of live, livelihoods, and property. Since 1980, disasters caused by natural hazards have affected 9 million people and caused over 20,000 fatalities in Afghanistan. The creation, understanding and accessibility of hazard, exposure, vulnerability and risk information is key for effective management of disaster risk. This is especially true in Afghanistan, where reconstruction after recent natural disasters and military conflicts is on-going and will continue over the coming years. So far, there has been limited disaster risk information produced in Afghanistan, and information that does exist typically lacks standard methodology and does not have uniform geo-spatial coverage. There are currently no available risk assessment studies that cover all major natural hazards in Afghanistan, which can be used to assess the costs and benefits of different resilient reconstruction and disaster risk reduction strategies. As a result, the Government of Afghanistan has limited information regarding current and future disaster risk and the effectiveness of policy options on which to base their reconstruction and risk reduction decisions. To better understand natural hazard and disaster risk, the World Bank and Global Facility for Disaster Reduction and Recovery (GFDRR) are supporting the development of new fluvial flood, flash flood, drought, landslide, avalanche and seismic risk information in Afghanistan, as well as a first-order analysis of the costs and benefits of resilient reconstruction and risk reduction strategies undertaken by the authors. The hazard component is the combination of probability and magnitude of natural hazards. Hazard analyses were carried out separately for each peril. Several models were implemented used to simulate the relevant processes involved. These models were fed by global and local climate data and geological data like elevation, slope, land use, soil characteristics etc. Exposure is a measure of the assets and population at risk. An extensive data collection and processing effort was carried out to derive nation-wide exposure data. Vulnerability is a measure of potential exposure losses if a hazardous event occurs. Vulnerability analyses were carried out separately for each peril, because of differences in impact characteristics. Damage functions were derived from asset characteristics and/or experiences from (international) literature. The main project output consists of tables and (GIS-) maps of hazard, exposure and risk. Tables present results at the nation-wide level (admin0), province level (admin1) and district level (admin2). Hazard maps are provided for various return periods, including 10, 20, 50, 100, 250, 500 and 1000 years. All maps are stored in a Web-based GIS-platform. This platform contains four separate directories with [1] generic data (catchment boundaries, rivers etc), [2] hazard maps, [3] exposure maps and [4] risk maps for each of the considered perils.

POLLUTION PREVENTION RESEARCH ONGOING - EPA'S RISK REDUCTION ENGINEERING LABORATORY

EPA Science Inventory

The mission of the Risk Reduction Engineering Laboratory is to advance the understanding, development and application of engineering solutions for the prevention or reduction of risks from environmental contamination. This mission is accomplished through basic and applied researc...

Integration of second cancer risk calculations in a radiotherapy treatment planning system

NASA Astrophysics Data System (ADS)

Hartmann, M.; Schneider, U.

2014-03-01

Second cancer risk in patients, in particular in children, who were treated with radiotherapy is an important side effect. It should be minimized by selecting an appropriate treatment plan for the patient. The objectives of this study were to integrate a risk model for radiation induced cancer into a treatment planning system which allows to judge different treatment plans with regard to second cancer induction and to quantify the potential reduction in predicted risk. A model for radiation induced cancer including fractionation effects which is valid for doses in the radiotherapy range was integrated into a treatment planning system. From the three-dimensional (3D) dose distribution the 3D-risk equivalent dose (RED) was calculated on an organ specific basis. In addition to RED further risk coefficients like OED (organ equivalent dose), EAR (excess absolute risk) and LAR (lifetime attributable risk) are computed. A risk model for radiation induced cancer was successfully integrated in a treatment planning system. Several risk coefficients can be viewed and used to obtain critical situations were a plan can be optimised. Risk-volume-histograms and organ specific risks were calculated for different treatment plans and were used in combination with NTCP estimates for plan evaluation. It is concluded that the integration of second cancer risk estimates in a commercial treatment planning system is feasible. It can be used in addition to NTCP modelling for optimising treatment plans which result in the lowest possible second cancer risk for a patient.

Efficacy of a savings-led microfinance intervention to reduce sexual risk for HIV among women engaged in sex work: a randomized clinical trial.

PubMed

Witte, Susan S; Aira, Toivgoo; Tsai, Laura Cordisco; Riedel, Marion; Offringa, Reid; Chang, Mingway; El-Bassel, Nabila; Ssewamala, Fred

2015-03-01

We tested whether a structural intervention combining savings-led microfinance and HIV prevention components would achieve enhanced reductions in sexual risk among women engaging in street-based sex work in Ulaanbaatar, Mongolia, compared with an HIV prevention intervention alone. Between November 2011 and August 2012, we randomized 107 eligible women who completed baseline assessments to either a 4-session HIV sexual risk reduction intervention (HIVSRR) alone (n=50) or a 34-session HIVSRR plus a savings-led microfinance intervention (n=57). At 3- and 6-month follow-up assessments, participants reported unprotected acts of vaginal intercourse with paying partners and number of paying partners with whom they engaged in sexual intercourse in the previous 90 days. Using Poisson and zero-inflated Poisson model regressions, we examined the effects of assignment to treatment versus control condition on outcomes. At 6-month follow-up, the HIVSRR plus microfinance participants reported significantly fewer paying sexual partners and were more likely to report zero unprotected vaginal sex acts with paying sexual partners. Findings advance the HIV prevention repertoire for women, demonstrating that risk reduction may be achieved through a structural intervention that relies on asset building, including savings, and alternatives to income from sex work.

Worksite health and wellness programs: Canadian achievements & prospects.

PubMed

Després, Jean-Pierre; Alméras, Natalie; Gauvin, Lise

2014-01-01

Canada has experienced a substantial reduction in mortality related to cardiovascular disease (CVD). There is a general consensus that more effective and widespread health promotion interventions may lead to further reductions in CVD risk factors and actual disease states. In this paper, we briefly outline the prevalence of selected risk factors for CVD in Canada, describe characteristics of the Canadian labor market and workforce, and depict what is known about health and wellness program delivery systems in Canadian workplaces. Our review indicates that there have been numerous and diverse relevant legislative and policy initiatives to create a context conducive to improve the healthfulness of Canadian workplaces. However, there is still a dearth of evidence on the effectiveness of the delivery system and the actual impact of workplace health and wellness programs in reducing CVD risk in Canada. Thus, while a promising model, more research is needed in this area. Copyright © 2014 Elsevier Inc. All rights reserved.

Predictors of relationship power among drug-involved women.

PubMed

Campbell, Aimee N C; Tross, Susan; Hu, Mei-chen; Pavlicova, Martina; Nunes, Edward V

2012-08-01

Gender-based relationship power is frequently linked to women's capacity to reduce sexual risk behaviors. This study offers an exploration of predictors of relationship power, as measured by the multidimensional and theoretically grounded sexual relationship power scale, among women in outpatient substance abuse treatment. Linear models were used to test nine predictors (age, race/ethnicity, education, time in treatment, economic dependence, substance use, sexual concurrency, partner abuse, and sex role orientation) of relationship power among 513 women participating in a multi-site HIV risk reduction intervention study. Significant predictors of relationship control included having a non-abusive male partner, only one male partner, and endorsing traditional masculine (or both masculine and feminine) sex role attributes. Predictors of decision-making dominance were interrelated, with substance use × partner abuse and age × sex role orientation interactions. Results contribute to the understanding of factors which may influence relationship power and to their potential role in HIV sexual risk reduction interventions.

What's wrong with hazard-ranking systems? An expository note.

PubMed

Cox, Louis Anthony Tony

2009-07-01

Two commonly recommended principles for allocating risk management resources to remediate uncertain hazards are: (1) select a subset to maximize risk-reduction benefits (e.g., maximize the von Neumann-Morgenstern expected utility of the selected risk-reducing activities), and (2) assign priorities to risk-reducing opportunities and then select activities from the top of the priority list down until no more can be afforded. When different activities create uncertain but correlated risk reductions, as is often the case in practice, then these principles are inconsistent: priority scoring and ranking fails to maximize risk-reduction benefits. Real-world risk priority scoring systems used in homeland security and terrorism risk assessment, environmental risk management, information system vulnerability rating, business risk matrices, and many other important applications do not exploit correlations among risk-reducing opportunities or optimally diversify risk-reducing investments. As a result, they generally make suboptimal risk management recommendations. Applying portfolio optimization methods instead of risk prioritization ranking, rating, or scoring methods can achieve greater risk-reduction value for resources spent.

Reductions in Diagnostic Imaging With High Deductible Health Plans.

PubMed

Zheng, Sarah; Ren, Zhong Justin; Heineke, Janelle; Geissler, Kimberley H

2016-02-01

Diagnostic imaging utilization grew rapidly over the past 2 decades. It remains unclear whether patient cost-sharing is an effective policy lever to reduce imaging utilization and spending. Using 2010 commercial insurance claims data of >21 million individuals, we compared diagnostic imaging utilization and standardized payments between High Deductible Health Plan (HDHP) and non-HDHP enrollees. Negative binomial models were used to estimate associations between HDHP enrollment and utilization, and were repeated for standardized payments. A Hurdle model were used to estimate associations between HDHP enrollment and whether an enrollee had diagnostic imaging, and then the magnitude of associations for enrollees with imaging. Models with interaction terms were used to estimate associations between HDHP enrollment and imaging by risk score tercile. All models included controls for patient age, sex, geographic location, and health status. HDHP enrollment was associated with a 7.5% decrease in the number of imaging studies and a 10.2% decrease in standardized imaging payments. HDHP enrollees were 1.8% points less likely to use imaging; once an enrollee had at least 1 imaging study, differences in utilization and associated payments were small. Associations between HDHP and utilization were largest in the lowest (least sick) risk score tercile. Increased patient cost-sharing may contribute to reductions in diagnostic imaging utilization and spending. However, increased cost-sharing may not encourage patients to differentiate between high-value and low-value diagnostic imaging services; better patient awareness and education may be a crucial part of any reductions in diagnostic imaging utilization.

Interdisciplinary approach for disaster risk reduction in Valtellina Valley, northern Italy

NASA Astrophysics Data System (ADS)

Garcia, Carolina; Blahut, Jan; Luna, Byron Quan; Poretti, Ilaria; Camera, Corrado; de Amicis, Mattia; Sterlacchini, Simone

2010-05-01

Inside the framework of the European research network Mountain Risks, an interdisciplinary research group has been working in the Consortium of Mountain Municipalities of Valtellina di Tirano (northern Italy). This area has been continuously affected by several mountain hazards such as landslides, debris flows and floods that directly affect the population, and in some cases caused several deaths and million euros of losses. An aim of the interdisciplinary work in this study area, is to integrate different scientific products of the research group, in the areas of risk assessment, management and governance, in order to generate, among others, risk reduction tools addressed to general public and stakeholders. Two types of phenomena have been particularly investigated: debris flows and floods. The scientific products range from modeling to mapping of hazard and risk, emergency planning based on real time decision support systems, surveying for the evaluation of risk perception and preparedness, among others. Outputs from medium scale hazard and risk modeling could be used for decision makers and spatial planners as well as civil protection authorities to have a general overview of the area and indentify hot spots for further detailed analysis. Subsequently, local scale analysis is necessary to define possible events and risk scenarios for emergency planning. As for the modeling of past events and new scenarios of debris flows, physical outputs were used as inputs into physical vulnerability assessment and quantitative risk analysis within dynamic runout models. On a pilot zone, the physical damage was quantified for each affected structure within the context of physical vulnerability and different empirical vulnerability curves were obtained. Prospective economic direct losses were estimated. For floods hazard assessment, different approaches and models are being tested, in order to produce flood maps for various return periods, and related to registered rainfalls. About Civil Protection topics, the main aim is to set up and manage contingency plans in advance; that is, to identify and prepare people in charge to take action to define the activities to be performed, to be aware of available resources and to optimize the communication system among the people involved, in order to efficiently face a prospective crisis phase. For this purpose, a real time emergency plan has been develop based GIS (Geographical Information Systems), DSS (Decision Support Systems), and ICT (Information & Communication Technology).

The Community-based Participatory Intervention Effect of “HIV-RAAP”

PubMed Central

Yancey, Elleen M.; Mayberry, Robert; Armstrong-Mensah, Elizabeth; Collins, David; Goodin, Lisa; Cureton, Shava; Trammell, Ella H.; Yuan, Keming

2012-01-01

Objectives To design and test HIV-RAAP (HIV/AIDS Risk Reduction Among Heterosexually Active African American Men and Women: A Risk Reduction Prevention Intervention) a coeducational, culture- and gender-sensitive community-based participatory HIV risk reduction intervention. Methods A community-based participatory research process included intervention development and implementation of a 7-session coeducational curriculum conducted over 7 consecutive weeks. Results The results indicated a significant intervention effect on reducing sexual behavior risk (P=0.02), improving HIV risk knowledge (P=0.006), and increasing sexual partner conversations about HIV risk reduction (P= 0.001). Conclusions The HIV-RAAP intervention impacts key domains of heterosexual HIV transmission. PMID:22488405

The community-based participatory intervention effect of "HIV-RAAP".

PubMed

Yancey, Elleen M; Mayberry, Robert; Armstrong-Mensah, Elizabeth; Collins, David; Goodin, Lisa; Cureton, Shava; Trammell, Ella H; Yuan, Keming

2012-07-01

To design and test HIV-RAAP (HIV/AIDS Risk Reduction Among Heterosexually Active African American Men and Women: A Risk Reduction Prevention Intervention) a coeducational, culture- and gender-sensitive community-based participatory HIV risk reduction intervention. A community-based participatory research process included intervention development and implementation of a 7-session coeducational curriculum conducted over 7 consecutive weeks. The results indicated a significant intervention effect on reducing sexual behavior risk (P=0.02), improving HIV risk knowledge (P=0.006), and increasing sexual partner conversations about HIV risk reduction (P= 0.001). The HIV-RAAP intervention impacts key domains of heterosexual HIV transmission.

Future Forest Cover Change Scenarios with Implications for Landslide Risk: An Example from Buzau Subcarpathians, Romania

NASA Astrophysics Data System (ADS)

Malek, Žiga; Boerboom, Luc; Glade, Thomas

2015-11-01

This study focuses on future forest cover change in Buzau Subcarpathians, a landslide prone region in Romania. Past and current trends suggest that the area might expect a future increase in deforestation. We developed spatially explicit scenarios until 2040 to analyze the spatial pattern of future forest cover change and potential changes to landslide risk. First, we generated transition probability maps using the weights of evidence method, followed by a cellular automata allocation model. We performed expert interviews, to develop two future forest management scenarios. The Alternative scenario (ALT) was defined by 67 % more deforestation than the Business as Usual scenario (BAU). We integrated the simulated scenarios with a landslide susceptibility map. In both scenarios, most of deforestation was projected in areas where landslides are less likely to occur. Still, 483 (ALT) and 276 (BAU) ha of deforestation were projected on areas with a high-landslide occurrence likelihood. Thus, deforestation could lead to a local-scale increase in landslide risk, in particular near or adjacent to forestry roads. The parallel process of near 10 % forest expansion until 2040 was projected to occur mostly on areas with high-landslide susceptibility. On a regional scale, forest expansion could so result in improved slope stability. We modeled two additional scenarios with an implemented landslide risk policy, excluding high-risk zones. The reduction of deforestation on high-risk areas was achieved without a drastic decrease in the accessibility of the areas. Together with forest expansion, it could therefore be used as a risk reduction strategy.

Future Forest Cover Change Scenarios with Implications for Landslide Risk: An Example from Buzau Subcarpathians, Romania.

PubMed

Malek, Žiga; Boerboom, Luc; Glade, Thomas

2015-11-01

This study focuses on future forest cover change in Buzau Subcarpathians, a landslide prone region in Romania. Past and current trends suggest that the area might expect a future increase in deforestation. We developed spatially explicit scenarios until 2040 to analyze the spatial pattern of future forest cover change and potential changes to landslide risk. First, we generated transition probability maps using the weights of evidence method, followed by a cellular automata allocation model. We performed expert interviews, to develop two future forest management scenarios. The Alternative scenario (ALT) was defined by 67% more deforestation than the Business as Usual scenario (BAU). We integrated the simulated scenarios with a landslide susceptibility map. In both scenarios, most of deforestation was projected in areas where landslides are less likely to occur. Still, 483 (ALT) and 276 (BAU) ha of deforestation were projected on areas with a high-landslide occurrence likelihood. Thus, deforestation could lead to a local-scale increase in landslide risk, in particular near or adjacent to forestry roads. The parallel process of near 10% forest expansion until 2040 was projected to occur mostly on areas with high-landslide susceptibility. On a regional scale, forest expansion could so result in improved slope stability. We modeled two additional scenarios with an implemented landslide risk policy, excluding high-risk zones. The reduction of deforestation on high-risk areas was achieved without a drastic decrease in the accessibility of the areas. Together with forest expansion, it could therefore be used as a risk reduction strategy.

Nuclear energy in Europe: uranium flow modeling and fuel cycle scenario trade-offs from a sustainability perspective.

PubMed

Tendall, Danielle M; Binder, Claudia R

2011-03-15

The European nuclear fuel cycle (covering the EU-27, Switzerland and Ukraine) was modeled using material flow analysis (MFA).The analysis was based on publicly available data from nuclear energy agencies and industries, national trade offices, and nongovernmental organizations. Military uranium was not considered due to lack of accessible data. Nuclear fuel cycle scenarios varying spent fuel reprocessing, depleted uranium re-enrichment, enrichment assays, and use of fast neutron reactors, were established. They were then assessed according to environmental, economic and social criteria such as resource depletion, waste production, chemical and radiation emissions, costs, and proliferation risks. The most preferable scenario in the short term is a combination of reduced tails assay and enrichment grade, allowing a 17.9% reduction of uranium demand without significantly increasing environmental, economic, or social risks. In the long term, fast reactors could theoretically achieve a 99.4% decrease in uranium demand and nuclear waste production. However, this involves important costs and proliferation risks. Increasing material efficiency is not systematically correlated with the reduction of other risks. This suggests that an overall optimization of the nuclear fuel cycle is difficult to obtain. Therefore, criteria must be weighted according to stakeholder interests in order to determine the most sustainable solution. This paper models the flows of uranium and associated materials in Europe, and provides a decision support tool for identifying the trade-offs of the alternative nuclear fuel cycles considered.

Beyond Anal Sex: Sexual Practices Associated with HIV Risk Reduction among Men Who Have Sex with Men in Boston, Massachusetts

PubMed Central

Reisner, Sari L.; Skeer, Margie; Mayer, Kenneth H.

2009-01-01

Abstract Men who have sex with men (MSM) continue to bear a disproportionate HIV and sexually transmitted disease (STD) burden. The current study examined the frequency and associations of sexual risk reduction behaviors among a sample of MSM in the greater Boston, Massachusetts area. One hundred eighty-nine MSM completed a one-time behavioral and psychosocial assessment between March 2006 and May 2007. Logistic regression procedures examined the association of demographic, psychosocial, and behavioral factors with risk reduction practices. Twenty percent of the sample reported rimming, mutual masturbation, digital penetration, using sex toys, or 100% condom use as a means to reduce their risk of acquiring or transmitting HIV in the prior 12 months. In bivariate analyses, risk reducers were more likely to disclose their MSM status (i.e., be “out”; odds ratio [OR] = 3.64; p < 0.05), and report oral sex with a condom in the prior 12 months (OR = 4.85; p < 0.01). They were less likely to report: depression (Center for Epidemiologic Studies Depression Scale [CES-D] score 16+ OR = 0.48; p < 0.05), a history of one or more sexually transmitted diseases (STDs; OR = 0.40; p < 0.05), and meeting sexual partners at public cruising areas (OR = 0.32; p < 0.01). In a multivariable model, risk reducers were less likely to report: alcohol use during sex (adjusted odds ratio [AOR] = 0.33; p < 0.05), depression (CESD score 16+ AOR = 0.32; p < 0.05), or meeting sexual partners at public cruising areas (AOR = 0.30; p < 0.05), or via the Internet (AOR = 0.12; p < 0.05) in the previous 12 months. Identifying and understanding such factors associated with risk reduction behaviors may be important to consider in designing effective prevention interventions to promote sexual health for MSM. PMID:19534602

Beyond anal sex: sexual practices associated with HIV risk reduction among men who have sex with men in Boston, Massachusetts.

PubMed

Reisner, Sari L; Mimiaga, Matthew J; Skeer, Margie; Mayer, Kenneth H

2009-07-01

Men who have sex with men (MSM) continue to bear a disproportionate HIV and sexually transmitted disease (STD) burden. The current study examined the frequency and associations of sexual risk reduction behaviors among a sample of MSM in the greater Boston, Massachusetts area. One hundred eighty-nine MSM completed a one-time behavioral and psychosocial assessment between March 2006 and May 2007. Logistic regression procedures examined the association of demographic, psychosocial, and behavioral factors with risk reduction practices. Twenty percent of the sample reported rimming, mutual masturbation, digital penetration, using sex toys, or 100% condom use as a means to reduce their risk of acquiring or transmitting HIV in the prior 12 months. In bivariate analyses, risk reducers were more likely to disclose their MSM status (i.e., be "out"; odds ratio [OR] = 3.64; p < 0.05), and report oral sex with a condom in the prior 12 months (OR = 4.85; p < 0.01). They were less likely to report: depression (Center for Epidemiologic Studies Depression Scale [CES-D] score 16+; OR = 0.48; p < 0.05), a history of one or more sexually transmitted diseases (STDs; OR = 0.40; p < 0.05), and meeting sexual partners at public cruising areas (OR = 0.32; p < 0.01). In a multivariable model, risk reducers were less likely to report: alcohol use during sex (adjusted odds ratio [AOR] = 0.33; p < 0.05), depression (CESD score 16+; AOR = 0.32; p < 0.05), or meeting sexual partners at public cruising areas (AOR = 0.30; p < 0.05), or via the Internet (AOR = 0.12; p < 0.05) in the previous 12 months. Identifying and understanding such factors associated with risk reduction behaviors may be important to consider in designing effective prevention interventions to promote sexual health for MSM.

Benefit-cost estimation for alternative drinking water maximum contaminant levels

NASA Astrophysics Data System (ADS)

Gurian, Patrick L.; Small, Mitchell J.; Lockwood, John R.; Schervish, Mark J.

2001-08-01

A simulation model for estimating compliance behavior and resulting costs at U.S. Community Water Suppliers is developed and applied to the evaluation of a more stringent maximum contaminant level (MCL) for arsenic. Probability distributions of source water arsenic concentrations are simulated using a statistical model conditioned on system location (state) and source water type (surface water or groundwater). This model is fit to two recent national surveys of source waters, then applied with the model explanatory variables for the population of U.S. Community Water Suppliers. Existing treatment types and arsenic removal efficiencies are also simulated. Utilities with finished water arsenic concentrations above the proposed MCL are assumed to select the least cost option compatible with their existing treatment from among 21 available compliance strategies and processes for meeting the standard. Estimated costs and arsenic exposure reductions at individual suppliers are aggregated to estimate the national compliance cost, arsenic exposure reduction, and resulting bladder cancer risk reduction. Uncertainties in the estimates are characterized based on uncertainties in the occurrence model parameters, existing treatment types, treatment removal efficiencies, costs, and the bladder cancer dose-response function for arsenic.

Uncertainty importance analysis using parametric moment ratio functions.

PubMed

Wei, Pengfei; Lu, Zhenzhou; Song, Jingwen

2014-02-01

This article presents a new importance analysis framework, called parametric moment ratio function, for measuring the reduction of model output uncertainty when the distribution parameters of inputs are changed, and the emphasis is put on the mean and variance ratio functions with respect to the variances of model inputs. The proposed concepts efficiently guide the analyst to achieve a targeted reduction on the model output mean and variance by operating on the variances of model inputs. The unbiased and progressive unbiased Monte Carlo estimators are also derived for the parametric mean and variance ratio functions, respectively. Only a set of samples is needed for implementing the proposed importance analysis by the proposed estimators, thus the computational cost is free of input dimensionality. An analytical test example with highly nonlinear behavior is introduced for illustrating the engineering significance of the proposed importance analysis technique and verifying the efficiency and convergence of the derived Monte Carlo estimators. Finally, the moment ratio function is applied to a planar 10-bar structure for achieving a targeted 50% reduction of the model output variance. © 2013 Society for Risk Analysis.

Global and regional health effects of future food production under climate change: a modelling study.

PubMed

Springmann, Marco; Mason-D'Croz, Daniel; Robinson, Sherman; Garnett, Tara; Godfray, H Charles J; Gollin, Douglas; Rayner, Mike; Ballon, Paola; Scarborough, Peter

2016-05-07

One of the most important consequences of climate change could be its effects on agriculture. Although much research has focused on questions of food security, less has been devoted to assessing the wider health impacts of future changes in agricultural production. In this modelling study, we estimate excess mortality attributable to agriculturally mediated changes in dietary and weight-related risk factors by cause of death for 155 world regions in the year 2050. For this modelling study, we linked a detailed agricultural modelling framework, the International Model for Policy Analysis of Agricultural Commodities and Trade (IMPACT), to a comparative risk assessment of changes in fruit and vegetable consumption, red meat consumption, and bodyweight for deaths from coronary heart disease, stroke, cancer, and an aggregate of other causes. We calculated the change in the number of deaths attributable to climate-related changes in weight and diets for the combination of four emissions pathways (a high emissions pathway, two medium emissions pathways, and a low emissions pathway) and three socioeconomic pathways (sustainable development, middle of the road, and more fragmented development), which each included six scenarios with variable climatic inputs. The model projects that by 2050, climate change will lead to per-person reductions of 3·2% (SD 0·4%) in global food availability, 4·0% (0·7%) in fruit and vegetable consumption, and 0·7% (0·1%) in red meat consumption. These changes will be associated with 529,000 climate-related deaths worldwide (95% CI 314,000-736,000), representing a 28% (95% CI 26-33) reduction in the number of deaths that would be avoided because of changes in dietary and weight-related risk factors between 2010 and 2050. Twice as many climate-related deaths were associated with reductions in fruit and vegetable consumption than with climate-related increases in the prevalence of underweight, and most climate-related deaths were projected to occur in south and east Asia. Adoption of climate-stabilisation pathways would reduce the number of climate-related deaths by 29-71%, depending on their stringency. The health effects of climate change from changes in dietary and weight-related risk factors could be substantial, and exceed other climate-related health impacts that have been estimated. Climate change mitigation could prevent many climate-related deaths. Strengthening of public health programmes aimed at preventing and treating diet and weight-related risk factors could be a suitable climate change adaptation strategy. Oxford Martin Programme on the Future of Food. Copyright © 2016 Elsevier Ltd. All rights reserved.

Impact of Vaccination on 14 High-Risk HPV Type Infections: A Mathematical Modelling Approach

PubMed Central

Vänskä, Simopekka; Auranen, Kari; Leino, Tuija; Salo, Heini; Nieminen, Pekka; Kilpi, Terhi; Tiihonen, Petri; Apter, Dan; Lehtinen, Matti

2013-01-01

The development of high-risk human papillomavirus (hrHPV) infection to cervical cancer is a complicated process. We considered solely hrHPV infections, thus avoiding the confounding effects of disease progression, screening, and treatments. To analyse hrHPV epidemiology and to estimate the overall impact of vaccination against infections with hrHPVs, we developed a dynamic compartmental transmission model for single and multiple infections with 14 hrHPV types. The infection-related parameters were estimated using population-based sexual behaviour and hrHPV prevalence data from Finland. The analysis disclosed the important role of persistent infections in hrHPV epidemiology, provided further evidence for a significant natural immunity, and demonstrated the dependence of transmission probability estimates on the model structure. The model predicted that vaccinating girls at 80% coverage will result in a 55% reduction in the overall hrHPV prevalence and a higher 65% reduction in the prevalence of persistent hrHPV infections in females. In males, the reduction will be 42% in the hrHPV prevalence solely by the herd effect from the 80% coverage in girls. If such high coverage among girls is not reached, it is still possible to reduce the female hrHPV prevalence indirectly by the herd effect if also boys are included in the vaccination program. On the other hand, any herd effects in older unvaccinated cohorts were minor. Limiting the epidemiological model to infection yielded improved understanding of the hrHPV epidemiology and of mechanisms with which vaccination impacts on hrHPV infections. PMID:24009669

The effects of the Danish saturated fat tax on food and nutrient intake and modelled health outcomes: an econometric and comparative risk assessment evaluation.

PubMed

Smed, S; Scarborough, P; Rayner, M; Jensen, J D

2016-06-01

The World Health Organisation recommends governments to consider the use of fiscal policies to promote healthy eating. However, there is very limited evidence of the effect of food taxation in a real-life setting, as most evidence is based on simulation studies. The objective of this study is to evaluate the effect of the Danish tax on saturated fat in terms of changes in nutritional quality of the diet, that is, changes in saturated fat consumption, as well as other non-targeted dietary measures, and to model the associated changes in mortality for different age groups and genders. On the basis of household scanner data, we estimate the impact of the tax on consumption of saturated fat, unsaturated fat, salt, fruit, vegetables and fibre. The resultant changes in dietary quality are then used as inputs into a comparative risk assessment model (PRIME (Preventable Risk Integrated ModEl)) to estimate the effect of these changes on non-communicable diseases (NCDs) and mortality. The tax resulted in a 4.0% reduction in saturated fat intake. Vegetable consumption increased, and salt consumption increased for most individuals, except younger females. We find a modelled reduction in mortality with 123 lives saved annually, 76 of them below 75 years equal to 0.4% of all deaths from NCDs. Modelling the effect of the changes in diet on health outcomes suggests that the saturated fat tax made a positive, but minor, contribution to public health in Denmark.

Estimation and evaluation of management options to control and/or reduce the risk of not complying with commercial sterility.

PubMed

Pujol, Laure; Albert, Isabelle; Magras, Catherine; Johnson, Nicholas Brian; Membré, Jeanne-Marie

2015-11-20

In a previous study, a modular process risk model, from the raw material reception to the final product storage, was built to estimate the risk of a UHT-aseptic line of not complying with commercial sterility (Pujol et al., 2015). This present study was focused on demonstrating how the model (updated version with uncertainty and variability separated and 2(nd) order Monte Carlo procedure run) could be used to assess quantitatively the influence of management options. This assessment was done in three steps: pinpoint which process step had the highest influence on the risk, identify which management option(s) could be the most effective to control and/or reduce the risk, and finally evaluate quantitatively the influence of changing process setting(s) on the risk. For Bacillus cereus, it was identified that during post-process storage in an aseptic tank, there was potentially an air re-contamination due to filter efficiency loss (efficiency loss due to successive in-place sterilizations after cleaning operations), followed by B. cereus growth. Two options were then evaluated: i) reducing by one fifth of the number of filter sterilizations before renewing the filters, ii) designing new UHT-aseptic lines without an aseptic tank, i.e. without a storage period after the thermal process and before filling. Considering the uncertainty in the model, it was not possible to confirm whether these options had a significant influence on the risk associated with B. cereus. On the other hand, for Geobacillus stearothermophilus, combinations of heat-treatment time and temperature enabling the control or reduction in risk by a factor of ca. 100 were determined; for ease of operational implementation, they were presented graphically in the form of iso-risk curves. For instance, it was established that a heat treatment of 138°C for 31s (instead of 138°C for 25s) enabled a reduction in risk to 18×10(-8) (95% CI=[10; 34]×10(-8)), instead of 578×10(-8) (95% CI=[429; 754]×10(-8)) initially. In conclusion, a modular risk model, as the one exemplified here with a UHT-aseptic line, is a valuable tool in process design and operation, bringing definitive quantitative elements into the decision making process. Copyright © 2015 Elsevier B.V. All rights reserved.

Association of Vitamin A and Carotenoid Intake with Melanoma Risk in a Large Prospective Cohort

PubMed Central

Asgari, Maryam M.; Brasky, Theodore M.; White, Emily

2012-01-01

Laboratory data suggest that intake of vitamin A and carotenoids, may have chemopreventive benefits against melanoma, but epidemiologic studies examining the association have yielded conflicting results. We examined whether dietary and supplemental vitamin A and carotenoid intake was associated with melanoma risk among 69,635 men and women who were participants of the Vitamins and Lifestyle (VITAL) cohort study in Western Washington. After an average of 5.84 years of follow-up, 566 incident melanomas were identified. Cox proportional hazards regression models were used to estimate hazard ratios (HR) and 95% confidence intervals (CI) for risk of melanoma associated with dietary, supplement and total vitamin A and carotenoid intake after adjusting for melanoma risk factors. Baseline use of individual retinol supplements was associated with a significant reduction in melanoma risk (HR: 0.60, 95% CI: 0.41–0.89). High-dose (>1200 ug/day) supplemental retinol was also associated with reduced melanoma risk (HR: 0.74, 95% CI: 0.55–1.00), as compared to non-users. The reduction in melanoma risk was stronger in sun-exposed anatomic sites. There was no association of melanoma risk with dietary or total intake of vitamin A or carotenoids. Retinol supplementation may have a preventative role in melanoma among women. PMID:22377763

Health Risk-Based Assessment and Management of Heavy Metals-Contaminated Soil Sites in Taiwan

PubMed Central

Lai, Hung-Yu; Hseu, Zeng-Yei; Chen, Ting-Chien; Chen, Bo-Ching; Guo, Horng-Yuh; Chen, Zueng-Sang

2010-01-01

Risk-based assessment is a way to evaluate the potential hazards of contaminated sites and is based on considering linkages between pollution sources, pathways, and receptors. These linkages can be broken by source reduction, pathway management, and modifying exposure of the receptors. In Taiwan, the Soil and Groundwater Pollution Remediation Act (SGWPR Act) uses one target regulation to evaluate the contamination status of soil and groundwater pollution. More than 600 sites contaminated with heavy metals (HMs) have been remediated and the costs of this process are always high. Besides using soil remediation techniques to remove contaminants from these sites, the selection of possible remediation methods to obtain rapid risk reduction is permissible and of increasing interest. This paper discusses previous soil remediation techniques applied to different sites in Taiwan and also clarified the differences of risk assessment before and after soil remediation obtained by applying different risk assessment models. This paper also includes many case studies on: (1) food safety risk assessment for brown rice growing in a HMs-contaminated site; (2) a tiered approach to health risk assessment for a contaminated site; (3) risk assessment for phytoremediation techniques applied in HMs-contaminated sites; and (4) soil remediation cost analysis for contaminated sites in Taiwan. PMID:21139851

Creating a Flood Risk Index to Improve Community Resilience

NASA Astrophysics Data System (ADS)

Klima, K.; El Gammal, L.

2017-12-01

While flood risk reduction is an existent discourse and agenda in policy and insurance, vulnerabilities vary between communities; some communities may have aging infrastructure, or an older/poorer population less able to absorb a flood, putting them at increased risk from the hazards. As a result, some are considering environmental justice aspects of flood risk reduction. To date, catastrophe models have focused on creating floodmaps (e.g., NOAA's Sea Level Rise Viewer, Climate Central's Surging Seas), or on linking hydrological models to economic loss models (e.g., HEC-RAS + HAZUS). However, this approach may be highly inequitable between areas of different income (as well as other demographics). Some have begun work on combining hydrology with vulnerability information (e.g., USACE's North Atlantic Comprehensive Coastal Study). To our knowledge, no one has tried to adapt the more advanced known heat risk theory to water risk by combining hydrology information (e.g., HEC-RAS, floodplain maps) with the social vulnerability (e.g., Cutter et al.) of the residents. This project will create a method to combine water hazard data with a derived water vulnerability index to help a community understand their current and future water risk. We will use the case study area of Pittsburgh, PA, which faces severe precipitation and riverine flooding hazards. Building on present literature of factors influencing water vulnerability contextualized to the Pittsburgh region, we will identify, quantify, and map the top factors impacting water vulnerability. We will combine these with flood maps to identify the geospatial distribution of water risk. This work will allow policy makers to identify location-specific aspects of water vulnerability and risk in any community, thus promoting environmental justice. It is possible that this type of original research would create maps of relative water risk that may prove as understandable to the general public as other flood maps, and may also help to promote "just resilience". This presentation will present a method to combine water hazard data with a derived water vulnerability index to present work on the geospatial distribution of water risk in Pittsburgh, PA.

Estimated cardiovascular relative risk reduction from fixed-dose combination pill (polypill) treatment in a wide range of patients with a moderate risk of cardiovascular disease.

PubMed

Lafeber, Melvin; Webster, Ruth; Visseren, Frank Lj; Bots, Michiel L; Grobbee, Diederick E; Spiering, W; Rodgers, Anthony

2016-08-01

Recent data indicate that fixed-dose combination (FDC) pills, polypills, can produce sizeable risk factor reductions. There are very few published data on the consistency of the effects of a polypill in different patient populations. It is unclear for example whether the effects of the polypill are mainly driven by the individuals with high individual risk factor levels. The aim of the present study is to examine whether baseline risk factor levels modify the effect of polypill treatment on low-density lipoprotein (LDL)-cholesterol, blood pressure (BP), calculated cardiovascular relative risk reduction and adverse events. This paper describes a post-hoc analysis of a randomised, placebo-controlled trial of a polypill (containing aspirin 75 mg, simvastatin 20 mg, lisinopril 10 mg and hydrochlorothiazide 12.5 mg) in 378 individuals without an indication for any component of the polypill, but who had an estimated five-year risk for cardiovascular disease ≥7.5%. The outcomes considered were effect modification by baseline risk factor levels on change in LDL-cholesterol, systolic BP, calculated cardiovascular relative risk reduction and adverse events. The mean LDL-cholesterol in the polypill group was 0.9 mmol/l (95% confidence interval (CI): 0.8-1.0) lower compared with the placebo group during follow-up. Those with a baseline LDL-cholesterol >3.6 mmol/l achieved a greater absolute LDL-cholesterol reduction with the polypill compared with placebo, than patients with an LDL-cholesterol ≤3.6 mmol/l (-1.1 versus -0.6 mmol/l, respectively). The mean systolic BP was 10 mm Hg (95% CI: 8-12) lower in the polypill group. In participants with a baseline systolic BP >135 mm Hg the polypill resulted in a greater absolute systolic BP reduction with the polypill compared with placebo, than participants with a systolic BP ≤ 135 mm Hg (-12 versus -7 mm Hg, respectively). Calculated from individual risk factor reductions, the mean cardiovascular relative risk reduction was 48% (95% CI: 43-52) in the polypill group. Both baseline LDL-cholesterol and estimated cardiovascular risk were significant modifiers of the estimated cardiovascular relative risk reduction caused by the polypill. Adverse events did not appear to be related to baseline risk factor levels or the estimated cardiovascular risk. This study demonstrated that the effect of a cardiovascular polypill on risk factor levels is modified by the level of these risk factors. Groups defined by baseline LDL-cholesterol or systolic BP had large differences in risk factor reductions but only moderate differences in estimated cardiovascular relative risk reduction, suggesting also that patients with mildly increased risk factor levels but an overall raised cardiovascular risk benefit from being treated with a polypill. © The European Society of Cardiology 2016.

The integrated effect of moderate exercise on coronary heart disease.

PubMed

Mathews, Marc J; Mathews, Edward H; Mathews, George E

Moderate exercise is associated with a lower risk for coronary heart disease (CHD). A suitable integrated model of the CHD pathogenetic pathways relevant to moderate exercise may help to elucidate this association. Such a model is currently not available in the literature. An integrated model of CHD was developed and used to investigate pathogenetic pathways of importance between exercise and CHD. Using biomarker relative-risk data, the pathogenetic effects are representable as measurable effects based on changes in biomarkers. The integrated model provides insight into higherorder interactions underlying the associations between CHD and moderate exercise. A novel 'connection graph' was developed, which simplifies these interactions. It quantitatively illustrates the relationship between moderate exercise and various serological biomarkers of CHD. The connection graph of moderate exercise elucidates all the possible integrated actions through which risk reduction may occur. An integrated model of CHD provides a summary of the effects of moderate exercise on CHD. It also shows the importance of each CHD pathway that moderate exercise influences. The CHD risk-reducing effects of exercise appear to be primarily driven by decreased inflammation and altered metabolism.

A framework for quantifying net benefits of alternative prognostic models.

PubMed

Rapsomaniki, Eleni; White, Ian R; Wood, Angela M; Thompson, Simon G

2012-01-30

New prognostic models are traditionally evaluated using measures of discrimination and risk reclassification, but these do not take full account of the clinical and health economic context. We propose a framework for comparing prognostic models by quantifying the public health impact (net benefit) of the treatment decisions they support, assuming a set of predetermined clinical treatment guidelines. The change in net benefit is more clinically interpretable than changes in traditional measures and can be used in full health economic evaluations of prognostic models used for screening and allocating risk reduction interventions. We extend previous work in this area by quantifying net benefits in life years, thus linking prognostic performance to health economic measures; by taking full account of the occurrence of events over time; and by considering estimation and cross-validation in a multiple-study setting. The method is illustrated in the context of cardiovascular disease risk prediction using an individual participant data meta-analysis. We estimate the number of cardiovascular-disease-free life years gained when statin treatment is allocated based on a risk prediction model with five established risk factors instead of a model with just age, gender and region. We explore methodological issues associated with the multistudy design and show that cost-effectiveness comparisons based on the proposed methodology are robust against a range of modelling assumptions, including adjusting for competing risks. Copyright © 2011 John Wiley & Sons, Ltd.

Managing Space Radiation Risks on Lunar and Mars Missions: Risk Assessment and Mitigation

NASA Technical Reports Server (NTRS)

Cucinotta, F. A.; George, K.; Hu, X.; Kim, M. H.; Nikjoo, H.

2006-01-01

Radiation-induced health risks are a primary concern for human exploration outside the Earth's magnetosphere, and require improved approaches to risk estimation and tools for mitigation including shielding and biological countermeasures. Solar proton events are the major concern for short-term lunar missions (<60 d), and for long-term missions (>60 d) such as Mars exploration, the exposures to the high energy and charge (HZE) ions that make-up the galactic cosmic rays are the major concern. Health risks from radiation exposure are chronic risks including carcinogenesis and degenerative tissue risks, central nervous system effects, and acute risk such as radiation sickness or early lethality. The current estimate is that a more than four-fold uncertainty exists in the projection of lifetime mortality risk from cosmic rays, which severely limits analysis of possible benefits of shielding or biological countermeasure designs. Uncertainties in risk projections are largely due to insufficient knowledge of HZE ion radiobiology, which has led NASA to develop a unique probabilistic approach to radiation protection. We review NASA's approach to radiation risk assessment including its impact on astronaut dose limits and application of the ALARA (As Low as Reasonably Achievable) principle. The recently opened NASA Space Radiation Laboratory (NSRL) provides the capability to simulate the cosmic rays in controlled ground-based experiments with biological and shielding models. We discuss how research at NSRL will lead to reductions in the uncertainties in risk projection models. In developing mission designs, the reduction of health risks and mission constraints including costs are competing concerns that need to be addressed through optimization procedures. Mitigating the risks from space radiation is a multi-factorial problem involving individual factors (age, gender, genetic makeup, and exposure history), operational factors (planetary destination, mission length, and period in the solar cycle), and shielding characteristics (materials, mass, and topology). We review optimization metrics for radiation protection including scenarios that integrate biophysics models of radiation risks, operational variables, and shielding design tools needed to assess exploration mission designs. We discuss the application of a crosscutting metric, based on probabilistic risk assessment, to lunar and Mars mission trade studies including the assessment of multi-factorial problems and the potential benefits of new radiation health research strategies or mitigation technologies.

Managing Space Radiation Risks On Lunar and Mars Missions: Risk Assessment and Mitigation

NASA Technical Reports Server (NTRS)

Cucinotta, F. A.; George, K.; Hu, X.; Kim, M. H.; Nikjoo, H.

2005-01-01

Radiation-induced health risks are a primary concern for human exploration outside the Earth's magnetosphere, and require improved approaches to risk estimation and tools for mitigation including shielding and biological countermeasures. Solar proton events are the major concern for short-term lunar missions (<60 d), and for long-term missions (>60 d) such as Mars exploration, the exposures to the high energy and charge (HZE) ions that make-up the galactic cosmic rays are the major concern. Health risks from radiation exposure are chronic risks including carcinogenesis and degenerative tissue risks, central nervous system effects, and acute risk such as radiation sickness or early lethality. The current estimate is that a more than four-fold uncertainty exists in the projection of lifetime mortality risk from cosmic rays, which severely limits analysis of possible benefits of shielding or biological countermeasure designs. Uncertainties in risk projections are largely due to insufficient knowledge of HZE ion radiobiology, which has led NASA to develop a unique probabilistic approach to radiation protection. We review NASA's approach to radiation risk assessment including its impact on astronaut dose limits and application of the ALARA (As Low as Reasonably Achievable) principle. The recently opened NASA Space Radiation Laboratory (NSRL) provides the capability to simulate the cosmic rays in controlled ground-based experiments with biological and shielding models. We discuss how research at NSRL will lead to reductions in the uncertainties in risk projection models. In developing mission designs, the reduction of health risks and mission constraints including costs are competing concerns that need to be addressed through optimization procedures. Mitigating the risks from space radiation is a multi-factorial problem involving individual factors (age, gender, genetic makeup, and exposure history), operational factors (planetary destination, mission length, and period in the solar cycle), and shielding characteristics (materials, mass, and topology). We review optimization metrics for radiation protection including scenarios that integrate biophysics models of radiation risks, operational variables, and shielding design tools needed to assess exploration mission designs. We discuss the application of a crosscutting metric, based on probabilistic risk assessment, to lunar and Mars mission trade studies including the assessment of multi-factorial problems and the potential benefits of new radiation health research strategies or mitigation technologies.

Managing Space Radiation Risks on Lunar and Mars Missions: Risk Assessment and Mitigation

NASA Technical Reports Server (NTRS)

Cucinotta, F. A.; George, K.; Hu, X.; Kim, M. H.; Nikjoo, H.; Ponomarev, A.; Ren, L.; Shavers, M. R.; Wu, H.

2005-01-01

Radiation-induced health risks are a primary concern for human exploration outside the Earth's magnetosphere, and require improved approaches to risk estimation and tools for mitigation including shielding and biological countermeasures. Solar proton events are the major concern for short-term lunar missions (<60 d), and for long-term missions (>60 d) such as Mars exploration, the exposures to the high energy and charge (HZE) ions that make-up the galactic cosmic rays are the major concern. Health risks from radiation exposure are chronic risks including carcinogenesis and degenerative tissue risks, central nervous system effects, and acute risk such as radiation sickness or early lethality. The current estimate is that a more than four-fold uncertainty exists in the projection of lifetime mortality risk from cosmic rays, which severely limits analysis of possible benefits of shielding or biological countermeasure designs. Uncertainties in risk projections are largely due to insufficient knowledge of HZE ion radiobiology, which has led NASA to develop a unique probabilistic approach to radiation protection. We review NASA's approach to radiation risk assessment including its impact on astronaut dose limits and application of the ALARA (As Low as Reasonably Achievable) principle. The recently opened NASA Space Radiation Laboratory (NSRL) provides the capability to simulate the cosmic rays in controlled ground-based experiments with biological and shielding models. We discuss how research at NSRL will lead to reductions in the uncertainties in risk projection models. In developing mission designs, the reduction of health risks and mission constraints including costs are competing concerns that need to be addressed through optimization procedures. Mitigating the risks from space radiation is a multi-factorial problem involving individual factors (age, gender, genetic makeup, and exposure history), operational factors (planetary destination, mission length, and period in the solar cycle), and shielding characteristics (materials, mass, and topology). We review optimization metrics for radiation protection including scenarios that integrate biophysics models of radiation risks, operational variables, and shielding design tools needed to assess exploration mission designs. We discuss the application of a crosscutting metric, based on probabilistic risk assessment, to lunar and Mars mission trade studies including the assessment of multi-factorial problems and the potential benefits of new radiation health research strategies or mitigation technologies.

A cluster randomized trial of alcohol prevention in small businesses: a cascade model of help seeking and risk reduction.

PubMed

Reynolds, G Shawn; Bennett, Joel B

2015-01-01

The current study adapted two workplace substance abuse prevention programs and tested a conceptual model of workplace training effects on help seeking and alcohol consumption. Questionnaires were collected 1 month before, 1 month after, and 6 months within a cluster randomized field experiment. Texas small businesses in construction, transportation, and service industries. A total of 1510 employees from 45 businesses were randomly assigned to receive no training or one of the interventions. The interventions were 4-hour on-the-job classroom trainings that encouraged healthy lifestyles and seeking professional help (e.g., from the Employee Assistance Program [EAP]). The Team Awareness Program focused on peer referral and team building. The Choices in Health Promotion Program delivered various health topics based on a needs assessment. Questionnaires measured help-seeking attitudes and behavior, frequency of drinking alcohol, and job-related incidents. Mixed-model repeated-measures analyses of covariance were computed. Relative to the control group, training was associated with significantly greater reductions in drinking frequency, willingness to seek help, and seeking help from the EAP. After including help-seeking attitudes as a covariate, the correlation between training and help seeking becomes nonsignificant. Help-seeking behavior was not correlated with drinking frequency. Training improved help-seeking attitudes and behaviors and decreased alcohol risks. The reductions in drinking alcohol were directly correlated with training and independent from help seeking.

The Effects of a Mass Media HIV-Risk Reduction Strategy on HIV-Related Stigma and Knowledge Among African American Adolescents

PubMed Central

Valois, Robert F.; DiClemente, Ralph J.; Carey, Michael P.; Stanton, Bonita; Romer, Daniel; Fletcher, Faith; Farber, Naomi; Brown, Larry K.; Vanable, Peter A.; Salazar, Laura F.; Juzang, Ivan; Fortune, Thierry

2015-01-01

Abstract HIV-related stigma undermines HIV prevention, testing, and treatment. Multipronged risk-reduction strategies may reduce stigma among African American adolescents. To test the effectiveness of a risk-reduction strategy in addressing stigma, 1613 African American adolescents from four mid-sized cities participated in a randomized control trial. Participants received a sexual-risk reduction [Focus on Youth (FOY)] or general health curriculum [Promoting Health Among Teens (PHAT)]. Two cities received a culturally-tailored media intervention. Participants completed baseline, 3-, 6-, and 12-month surveys to measure HIV-related stigma and knowledge. Analysis of covariance tested for stigma and knowledge differences by media city status and curriculum/media city status (PHAT media vs. PHAT non-media, FOY media vs. FOY non-media; FOY media vs. PHAT media; FOY non-media vs. PHAT non-media) at each measurement. Hierarchical linear modeling (HLM) determined stigma and knowledge differences over time. Media participants demonstrated greater HIV-related knowledge (p<0.10) at 6 months and lower stigma at 3 months (p<0.10). FOY media participants had lower 3-month (p<0.05) and 12-month (p<0.10) stigma scores than non-media FOY participants. FOY media and non-media participants had greater knowledge than PHAT for all intervals after baseline. FOY media had lower stigma than PHAT media after baseline for all intervals after baseline. HLM indicated greater knowledge slopes for the media group (p<0.05). FOY media participants had greater knowledge slopes (p<0.05) relative to non-media FOY participants and media PHAT participants (p<0.01). A combination of a HIV risk-reduction curriculum and culturally-tailored media demonstrated some effectiveness in reducing stigma. Future use of media in HIV-prevention should include and evaluate effects on stigma. PMID:25738952

Three lines of defence model and the role of internal audit activities as the response to the global economic crisis

NASA Astrophysics Data System (ADS)

Dragičević Radičević, T.; Stojanović Trivanović, M.; Stanojević, Lj

2017-05-01

The existing framework of corporate governance has shown a number of weaknesses, and the result was a new economic crisis at the global level. The main problems were identified as: increased risk of investors, non-transparency of information, conflict of interest between corporation subjects. European Institute of Internal Auditors in response to the strengthening the trust in information, shareholders activism, better communication, which all will lead to the reduction of risks and restore investors confidence, proposed the Model Three Lines of Defence, where the key role has internal audit.

An ecological momentary intervention for smoking cessation: The associations of just-in-time, tailored messages with lapse risk factors.

PubMed

Hébert, Emily T; Stevens, Elise M; Frank, Summer G; Kendzor, Darla E; Wetter, David W; Zvolensky, Michael J; Buckner, Julia D; Businelle, Michael S

2018-03-01

Smartphone apps can provide real-time, tailored interventions for smoking cessation. The current study examines the effectiveness of a smartphone-based smoking cessation application that assessed risk for imminent smoking lapse multiple times per day and provided messages tailored to current smoking lapse risk and specific lapse triggers. Participants (N=59) recruited from a safety-net hospital smoking cessation clinic completed phone-based ecological momentary assessments (EMAs) 5 times/day for 3 consecutive weeks (1week pre-quit, 2weeks post-quit). Risk for smoking lapse was estimated in real-time using a novel weighted lapse risk estimator. With each EMA, participants received messages tailored to current level of risk for imminent smoking lapse and self-reported presence of smoking urge, stress, cigarette availability, and motivation to quit. Generalized linear mixed model analyses determined whether messages tailored to specific lapse risk factors were associated with greater reductions in these triggers than messages not tailored to specific triggers. Overall, messages tailored to smoking urge, cigarette availability, or stress corresponded with greater reductions in those triggers than messages that were not tailored to specific triggers (p's=0.02 to <0.001). Although messages tailored to stress were associated with greater reductions in stress than messages not tailored to stress, the association was non-significant (p=0.892) when only moments of high stress were included in the analysis. Mobile technology can be used to conduct real-time smoking lapse risk assessment and provide tailored treatment content. Findings provide initial evidence that tailored content may impact users' urge to smoke, stress, and cigarette availability. Copyright © 2017 Elsevier Ltd. All rights reserved.

Gastric Bypass Surgery Produces a Durable Reduction in Cardiovascular Disease Risk Factors and Reduces the Long-Term Risks of Congestive Heart Failure.

PubMed

Benotti, Peter N; Wood, G Craig; Carey, David J; Mehra, Vishal C; Mirshahi, Tooraj; Lent, Michelle R; Petrick, Anthony T; Still, Christopher; Gerhard, Glenn S; Hirsch, Annemarie G

2017-05-23

Obesity and its association with reduced life expectancy are well established, with cardiovascular disease as one of the major causes of fatality. Metabolic surgery is a powerful intervention for severe obesity, resulting in improvement in comorbid diseases and in cardiovascular risk factors. This study investigates the relationship between metabolic surgery and long-term cardiovascular events. A cohort of Roux-en-Y gastric bypass surgery (RYGB) patients was tightly matched by age, body mass index, sex, Framingham Risk Score, smoking history, use of antihypertension medication, diabetes mellitus status, and calendar year with a concurrent cohort of nonoperated control patients. The primary study end points of major cardiovascular events (myocardial infarction, stroke, and congestive heart failure) were evaluated using Cox regression. Secondary end points of longitudinal cardiovascular risk factors were evaluated using repeated-measures regression. The RYGB and matched controls (N=1724 in each cohort) were followed for up to 12 years after surgery (overall median of 6.3 years). Kaplan-Meier analysis revealed a statistically significant reduction in incident major composite cardiovascular events ( P =0.017) and congestive heart failure (0.0077) for the RYGB cohort. Adjusted Cox regression models confirmed the reductions in severe composite cardiovascular events in the RYGB cohort (hazard ratio=0.58, 95% CI=0.42-0.82). Improvements of cardiovascular risk factors (eg, 10-year cardiovascular risk score, total cholesterol, high-density lipoprotein, systolic blood pressure, and diabetes mellitus) were observed within the RYGB cohort after surgery. Gastric bypass is associated with a reduced risk of major cardiovascular events and the development of congestive heart failure. © 2017 The Authors and Geisinger Clinic. Published on behalf of the American Heart Association, Inc., by Wiley.

Development of risk reduction behavioral counseling for Ebola virus disease survivors enrolled in the Sierra Leone Ebola Virus Persistence Study, 2015-2016.

PubMed

Abad, Neetu; Malik, Tasneem; Ariyarajah, Archchun; Ongpin, Patricia; Hogben, Matthew; McDonald, Suzanna L R; Marrinan, Jaclyn; Massaquoi, Thomas; Thorson, Anna; Ervin, Elizabeth; Bernstein, Kyle; Ross, Christine; Liu, William J; Kroeger, Karen; Durski, Kara N; Broutet, Nathalie; Knust, Barbara; Deen, Gibrilla F

2017-09-01

During the 2014-2016 West Africa Ebola Virus Disease (EVD) epidemic, the public health community had concerns that sexual transmission of the Ebola virus (EBOV) from EVD survivors was a risk, due to EBOV persistence in body fluids of EVD survivors, particularly semen. The Sierra Leone Ebola Virus Persistence Study was initiated to investigate this risk by assessing EBOV persistence in numerous body fluids of EVD survivors and providing risk reduction counseling based on test results for semen, vaginal fluid, menstrual blood, urine, rectal fluid, sweat, tears, saliva, and breast milk. This publication describes implementation of the counseling protocol and the key lessons learned. The Ebola Virus Persistence Risk Reduction Behavioral Counseling Protocol was developed from a framework used to prevent transmission of HIV and other sexually transmitted infections. The framework helped to identify barriers to risk reduction and facilitated the development of a personalized risk-reduction plan, particularly around condom use and abstinence. Pre-test and post-test counseling sessions included risk reduction guidance, and post-test counseling was based on the participants' individual test results. The behavioral counseling protocol enabled study staff to translate the study's body fluid test results into individualized information for study participants. The Ebola Virus Persistence Risk Reduction Behavioral Counseling Protocol provided guidance to mitigate the risk of EBOV transmission from EVD survivors. It has since been shared with and adapted by other EVD survivor body fluid testing programs and studies in Ebola-affected countries.

Systematic review and economic evaluation of Helicobacter pylori eradication treatment for non-ulcer dyspepsia

PubMed Central

Moayyedi, Paul; Soo, Shelly; Deeks, Jonathan; Forman, David; Mason, James; Innes, Michael; Delaney, Brendan

2000-01-01

Objectives To evaluate efficacy and cost effectiveness of Helicobacter pylori eradication treatment in patients with non-ulcer dyspepsia infected with H pylori. Design Systematic review of randomised controlled trials comparing H pylori eradication with placebo or another drug treatment. Results were incorporated into a Markov model comparing health service costs and benefits of H pylori eradication with antacid treatment over one year. Data sources Six electronic databases were searched for randomised controlled trials from January 1966 to May 2000. Experts in the field, pharmaceutical companies, and journals were contacted for information on any unpublished trials. Trial reports were reviewed according to predefined eligibility and quality criteria. Main outcome measures Relative risk reduction for remaining dyspeptic symptoms (the same or worse) at 3-12 months. Cost per dyspepsia-free month estimated from Markov model based on estimated relative risk reduction. Results Twelve trials were included in the systematic review, nine of which evaluated dyspepsia at 3-12 months in 2541 patients. H pylori eradication treatment was significantly superior to placebo in treating non-ulcer dyspepsia (relative risk reduction 9% (95% confidence interval 4% to 14%)), one case of dyspepsia being cured for every 15 people treated. H pylori eradication cost £56 per dyspepsia-free month during first year after treatment. Conclusion H pylori eradication may be cost effective treatment for non-ulcer dyspepsia in infected patients but further evidence is needed on decision makers' willingness to pay for relief of dyspepsia. PMID:10987767

Association between open or closed reduction and avascular necrosis in developmental dysplasia of the hip

PubMed Central

Wang, Ya-Jie; Yang, Fan; Wu, Qi-Jun; Pan, Shi-Nong; Li, Lian-Yong

2016-01-01

Abstract Background: The risk of avascular necrosis of the femoral head (AVN) after treatment of developmental dysplasia of the hip is associated with the method of reduction. Some authors have suggested that open reduction is a risk factor for AVN; however, this is controversial. To our knowledge, a quantitative comparison of the incidence of AVN between closed and open reduction has not been conducted. Methods: Published studies were identified by searching PubMed, EMBASE, and the Cochrane Library up to May, 2015, focusing on the incidence of AVN after closed or open reduction for developmental dysplasia of the hip in children aged <3 years. Patients were age-matched who were treated by either closed or open reduction, but without pelvic or femoral osteotomy. Two authors independently assessed eligibility and abstracted data. Discrepancies were discussed and resolved by consensus. We pooled the odds ratios (ORs) and 95% confidence intervals (95%CIs) from individual studies using a random-effects model and evaluated heterogeneity and publication bias. Results: Nine retrospective studies were included in this analysis. The pooled OR for comparing open reduction with closed reduction for all grades of AVN was 2.26 (95%CI = 1.21–4.22), with moderate heterogeneity (I2 = 44.7%, P = 0.107). The pooled OR for grades II to IV AVN was 2.46 (95%CI = 0.93–6.51), with high heterogeneity (I2 = 69.6%, P = 0.003). A significant association was also found for the further surgery between open and closed reduction, with a pooled OR of 0.30 (95%CI = 0.15–0.60) and moderate heterogeneity (I2 = 46.4%, P = 0.133). No evidence of publication bias or significant heterogeneity between subgroups was detected by meta-regression analyses. Conclusion: Findings from this meta-analysis suggest that open reduction is a risk factor for the development of AVN compared with closed treatment. Future studies are warranted to investigate how open reduction combined with pelvis and/or femoral osteotomy affects the incidence of AVN. PMID:27442664

Association between open or closed reduction and avascular necrosis in developmental dysplasia of the hip: A PRISMA-compliant meta-analysis of observational studies.

PubMed

Wang, Ya-Jie; Yang, Fan; Wu, Qi-Jun; Pan, Shi-Nong; Li, Lian-Yong

2016-07-01

The risk of avascular necrosis of the femoral head (AVN) after treatment of developmental dysplasia of the hip is associated with the method of reduction. Some authors have suggested that open reduction is a risk factor for AVN; however, this is controversial. To our knowledge, a quantitative comparison of the incidence of AVN between closed and open reduction has not been conducted. Published studies were identified by searching PubMed, EMBASE, and the Cochrane Library up to May, 2015, focusing on the incidence of AVN after closed or open reduction for developmental dysplasia of the hip in children aged <3 years. Patients were age-matched who were treated by either closed or open reduction, but without pelvic or femoral osteotomy. Two authors independently assessed eligibility and abstracted data. Discrepancies were discussed and resolved by consensus. We pooled the odds ratios (ORs) and 95% confidence intervals (95%CIs) from individual studies using a random-effects model and evaluated heterogeneity and publication bias. Nine retrospective studies were included in this analysis. The pooled OR for comparing open reduction with closed reduction for all grades of AVN was 2.26 (95%CI = 1.21-4.22), with moderate heterogeneity (I = 44.7%, P = 0.107). The pooled OR for grades II to IV AVN was 2.46 (95%CI = 0.93-6.51), with high heterogeneity (I = 69.6%, P = 0.003). A significant association was also found for the further surgery between open and closed reduction, with a pooled OR of 0.30 (95%CI = 0.15-0.60) and moderate heterogeneity (I = 46.4%, P = 0.133). No evidence of publication bias or significant heterogeneity between subgroups was detected by meta-regression analyses. Findings from this meta-analysis suggest that open reduction is a risk factor for the development of AVN compared with closed treatment. Future studies are warranted to investigate how open reduction combined with pelvis and/or femoral osteotomy affects the incidence of AVN.

Physical activity, hormone replacement therapy and breast cancer risk: A meta-analysis of prospective studies.

PubMed

Pizot, Cécile; Boniol, Mathieu; Mullie, Patrick; Koechlin, Alice; Boniol, Magali; Boyle, Peter; Autier, Philippe

2016-01-01

Lower risk of breast cancer has been reported among physically active women, but the risk in women using hormone replacement therapy (HRT) appears to be higher. We quantified the association between physical activity and breast cancer, and we examined the influence that HRT use and other risk factors had on this association. After a systematic literature search, prospective studies were meta-analysed using random-effect models applied on highest versus lowest level of physical activity. Dose-response analyses were conducted with studies reporting physical activity either in hours per week or in hours of metabolic equivalent per week (MET-h/week). The literature search identified 38 independent prospective studies published between 1987 and 2014 that included 116,304 breast cancer cases. Compared to the lowest level of physical activity, the highest level was associated with a summary relative risk (SRR) of 0.88 (95% confidence interval [CI] 0.85, 0.90) for all breast cancer, 0.89 (95% CI 0.83, 0.95) for ER+/PR+ breast cancer and 0.80 (95% CI 0.69, 0.92) for ER-/PR- breast cancer. Risk reductions were not influenced by the type of physical activity (occupational or non-occupational), adiposity, and menopausal status. Risk reductions increased with increasing amounts of physical activity without threshold effect. In six studies, the SRR was 0.78 (95% CI 0.70, 0.87) in women who never used HRT and 0.97 (95% CI 0.88, 1.07) in women who ever used HRT, without heterogeneity in results. Findings indicate that a physically inactive women engaging in at least 150 min per week of vigorous physical activity would reduce their lifetime risk of breast cancer by 9%, a reduction that might be two times greater in women who never used HRT. Increasing physical activity is associated with meaningful reductions in the risk of breast cancer, but in women who ever used HRT, the preventative effect of physical activity seems to be cancelled out. Copyright © 2015 Elsevier Ltd. All rights reserved.

A Comparison of Two Mathematical Modeling Frameworks for Evaluating Sexually Transmitted Infection Epidemiology.

PubMed

Johnson, Leigh F; Geffen, Nathan

2016-03-01

Different models of sexually transmitted infections (STIs) can yield substantially different conclusions about STI epidemiology, and it is important to understand how and why models differ. Frequency-dependent models make the simplifying assumption that STI incidence is proportional to STI prevalence in the population, whereas network models calculate STI incidence more realistically by classifying individuals according to their partners' STI status. We assessed a deterministic frequency-dependent model approximation to a microsimulation network model of STIs in South Africa. Sexual behavior and demographic parameters were identical in the 2 models. Six STIs were simulated using each model: HIV, herpes, syphilis, gonorrhea, chlamydia, and trichomoniasis. For all 6 STIs, the frequency-dependent model estimated a higher STI prevalence than the network model, with the difference between the 2 models being relatively large for the curable STIs. When the 2 models were fitted to the same STI prevalence data, the best-fitting parameters differed substantially between models, with the frequency-dependent model suggesting more immunity and lower transmission probabilities. The fitted frequency-dependent model estimated that the effects of a hypothetical elimination of concurrent partnerships and a reduction in commercial sex were both smaller than estimated by the fitted network model, whereas the latter model estimated a smaller impact of a reduction in unprotected sex in spousal relationships. The frequency-dependent assumption is problematic when modeling short-term STIs. Frequency-dependent models tend to underestimate the importance of high-risk groups in sustaining STI epidemics, while overestimating the importance of long-term partnerships and low-risk groups.

Comparison of Health Risks and Changes in Risks over Time Among a Sample of Lesbian, Gay, Bisexual, and Heterosexual Employees at a Large Firm.

PubMed

Mitchell, Rebecca J; Ozminkowski, Ronald J

2017-04-01

The objective of this study was to estimate the prevalence of health risk factors by sexual orientation over a 4-year period within a sample of employees from a large firm. Propensity score-weighted generalized linear regression models were used to estimate the proportion of employees at high risk for health problems in each year and over time, controlling for many factors. Analyses were conducted with 6 study samples based on sex and sexual orientation. Rates of smoking, stress, and certain other health risk factors were higher for lesbian, gay, and bisexual (LGB) employees compared with rates of these risks among straight employees. Lesbian, gay, and straight employees successfully reduced risk levels in many areas. Significant reductions were realized for the proportion at risk for high stress and low life satisfaction among gay and lesbian employees, and for the proportion of smokers among gay males. Comparing changes over time for sexual orientation groups versus other employee groups showed that improvements and reductions in risk levels for most health risk factors examined occurred at similar rates among individuals employed by this firm, regardless of sexual orientation. These results can help improve understanding of LGB health and provide information on where to focus workplace health promotion efforts to meet the health needs of LGB employees.

What can'(t) we do with global flood risk models?

NASA Astrophysics Data System (ADS)

Ward, P.; Jongman, B.; Salamon, P.; Simpson, A.; Bates, P. D.; de Groeve, T.; Muis, S.; Coughlan, E.; Rudari, R.; Trigg, M. A.; Winsemius, H.

2015-12-01

Global flood risk models are now a reality. Initially, their development was driven by a demand from users for first-order global assessments to identify risk hotspots. Relentless upward trends in flood damage over the last decade have enhanced interest in such assessments. The adoption of the Sendai Framework for Disaster Risk Reduction and the Warsaw International Mechanism for Loss and Damage Associated with Climate Change Impacts have made these efforts even more essential. As a result, global flood risk models are being used more and more in practice, by an increasingly large number of practitioners and decision-makers. However, they clearly have their limits compared to local models. To address these issues, a team of scientists and practitioners recently came together at the Global Flood Partnership meeting to critically assess the question 'What can('t) we do with global flood risk models?'. The results of this dialogue (Ward et al., 2013) will be presented, opening a discussion on similar broader initiatives at the science-policy interface in other natural hazards. In this contribution, examples are provided of successful applications of global flood risk models in practice (for example together with the World Bank, Red Cross, and UNISDR), and limitations and gaps between user 'wish-lists' and model capabilities are discussed. Finally, a research agenda is presented for addressing these limitations and reducing the gaps. Ward, P.J. et al., 2015. Nature Climate Change, doi:10.1038/nclimate2742.

Impact of a smoking and alcohol intervention programme on lung and breast cancer incidence in Denmark: An example of dynamic modelling with Prevent.

PubMed

Soerjomataram, Isabelle; de Vries, Esther; Engholm, Gerda; Paludan-Müller, Georg; Brønnum-Hansen, Henrik; Storm, Hans H; Barendregt, Jan J

2010-09-01

Among the known risk factors, smoking is clearly related to the incidence of lung cancer and alcohol consumption is to breast cancer. In this manuscript we modelled the potential benefits of reductions in smoking or alcohol prevalence for the burden of these cancers. We used Prevent v.3.01 to assess the changes in incidence as a result of risk factor changes. Incidence of lung and breast cancer until 2050 was predicted under two scenarios: ideal (total elimination of smoking and reduction of alcohol intake to maximum 1 units/d for women) and optimistic (decreasing prevalence of risk factors because of a 10% increase in cigarette and alcohol beverage price, repeated every 5 years). Danish data from the household surveys, cancer registration and Eurostat were used. Up to 49% less new lung cancer cases can be expected in 2050 if smoking were to be completely eliminated. Five-yearly 10% price increases may prevent 521 new lung cancer cases in 2050 (21% less cases). An intervention that immediately reduces population alcohol consumption to the recommended level (below 12 g/d) may lower breast cancer by 7%, preventing 445 out of the 6060 expected new cases in 2050. Five-yearly 10% price increases in alcoholic beverages achieved a reduction of half as expected by the ideal scenario, i.e. 4% (262) preventable cases in 2050. The future burden of lung and breast cancer could be markedly reduced by intervening in their risk factors. Prevent illustrates the benefit of interventions and may serve as guidance in political decision-making. Copyright © 2010 Elsevier Ltd. All rights reserved.

The nurse's role in preventing cervical cancer: A cultural framework

PubMed Central

Johnson-Mallard, Versie; Thomas, Tami L.; Kostas-Polston, Elizabeth A.; Barta, Michelle; Lengacher, Cecile A.; Rivers, Desiree

2013-01-01

This article proposes an innovative, theoretically-driven intervention to reduce risk from human papillomavirus (HPV). This lessening of HPV risk would lead to a reduction in the rate of cervical cancer. Aims of this article are to introduce a culturally appropriate model (PEN-3) that may facilitate vaccine uptake among vulnerable populations and to ascertain whether culturally appropriate health education delivered by nurses could be included in vaccine education programs. PMID:25343003

On The Development of Biophysical Models for Space Radiation Risk Assessment

NASA Technical Reports Server (NTRS)

Cucinotta, F. A.; Dicello, J. F.

1999-01-01

Experimental techniques in molecular biology are being applied to study biological risks from space radiation. The use of molecular assays presents a challenge to biophysical models which in the past have relied on descriptions of energy deposition and phenomenological treatments of repair. We describe a biochemical kinetics model of cell cycle control and DNA damage response proteins in order to model cellular responses to radiation exposures. Using models of cyclin-cdk, pRB, E2F's, p53, and GI inhibitors we show that simulations of cell cycle populations and GI arrest can be described by our biochemical approach. We consider radiation damaged DNA as a substrate for signal transduction processes and consider a dose and dose-rate reduction effectiveness factor (DDREF) for protein expression.

Risk Reduction Therapy for Adolescents: Targeting Substance Use and HIV/STI-Risk Behaviors

PubMed Central

McCart, Michael R.; Sheidow, Ashli J.; Letourneau, Elizabeth J.

2014-01-01

This paper describes a family-based intervention for addressing both substance use and unprotected sexual behavior in adolescents presenting for outpatient substance use treatment. The intervention combines contingency management (CM) for adolescent substance use, which is a behavioral intervention modeled on the Community Reinforcement Approach, with a sexual risk reduction protocol that mirrors aspects of the CM model. As a family-based intervention, caregivers attend every session and actively collaborate with the therapist to address their youth’s behavior problems. The treatment is criterion-based with treatment duration determined by the youth’s achievement of reduced substance use and unprotected sexual behavior goals. A case study describes the implementation of this treatment with an adolescent presenting a history of polysubstance use and unprotected sexual intercourse. Following the adolescent and caregiver’s participation in weekly sessions, the adolescent demonstrated improvements in substance use, unprotected sexual behavior, and other behavior problems. Clinical summary data from two outpatient clinics reveal similar positive outcomes for youth receiving the intervention. This paper illustrates the potential utility of an integrated treatment approach targeting substance use and unprotected sexual behavior in an adolescent population. PMID:25419101

41 CFR 102-80.55 - Are Federal agencies responsible for managing the execution of risk reduction projects?

Code of Federal Regulations, 2010 CFR

2010-07-01

... Management Risks and Risk Reduction Strategies § 102-80.55 Are Federal agencies responsible for managing the... 41 Public Contracts and Property Management 3 2010-07-01 2010-07-01 false Are Federal agencies responsible for managing the execution of risk reduction projects? 102-80.55 Section 102-80.55 Public...

Reductions in Transmission Risk Behaviors in HIV-Positive Clients Receiving Prevention Case Management Services: Findings from a Community Demonstration Project

ERIC Educational Resources Information Center

Gasiorowicz, Mari; Llanas, Michelle R.; DiFranceisco, Wayne; Benotsch, Eric G.; Brondino, Michael J.; Catz, Sheryl L.; Hoxie, Neil J.; Reiser, William J.; Vergeront, James M.

2005-01-01

Prevention case management (PCM) for HIV-infected persons is an HIV risk reduction intervention designed to assist clients who are aware of their HIV infection and who continue to engage in risk transmission behaviors. PCM combines individual risk reduction counseling with case management to address the psychosocial factors affecting HIV…

The Effects of Revealed Information on Catastrophe Loss Projection Models' Characterization of Risk: Damage Vulnerability Evidence from Florida.

PubMed

Karl, J Bradley; Medders, Lorilee A; Maroney, Patrick F

2016-06-01

We examine whether the risk characterization estimated by catastrophic loss projection models is sensitive to the revelation of new information regarding risk type. We use commercial loss projection models from two widely employed modeling firms to estimate the expected hurricane losses of Florida Atlantic University's building stock, both including and excluding secondary information regarding hurricane mitigation features that influence damage vulnerability. We then compare the results of the models without and with this revealed information and find that the revelation of additional, secondary information influences modeled losses for the windstorm-exposed university building stock, primarily evidenced by meaningful percent differences in the loss exceedance output indicated after secondary modifiers are incorporated in the analysis. Secondary risk characteristics for the data set studied appear to have substantially greater impact on probable maximum loss estimates than on average annual loss estimates. While it may be intuitively expected for catastrophe models to indicate that secondary risk characteristics hold value for reducing modeled losses, the finding that the primary value of secondary risk characteristics is in reduction of losses in the "tail" (low probability, high severity) events is less intuitive, and therefore especially interesting. Further, we address the benefit-cost tradeoffs that commercial entities must consider when deciding whether to undergo the data collection necessary to include secondary information in modeling. Although we assert the long-term benefit-cost tradeoff is positive for virtually every entity, we acknowledge short-term disincentives to such an effort. © 2015 Society for Risk Analysis.

Vibrio bacteria in raw oysters: managing risks to human health.

PubMed

Froelich, Brett A; Noble, Rachel T

2016-03-05

The human-pathogenic marine bacteria Vibrio vulnificus and V. parahaemolyticus are strongly correlated with water temperature, with concentrations increasing as waters warm seasonally. Both of these bacteria can be concentrated in filter-feeding shellfish, especially oysters. Because oysters are often consumed raw, this exposes people to large doses of potentially harmful bacteria. Various models are used to predict the abundance of these bacteria in oysters, which guide shellfish harvest policy meant to reduce human health risk. Vibrio abundance and behaviour varies from site to site, suggesting that location-specific studies are needed to establish targeted risk reduction strategies. Moreover, virulence potential, rather than simple abundance, should be also be included in future modeling efforts. © 2016 The Author(s).

How do women at increased breast cancer risk perceive and decide between risks of cancer and risk-reducing treatments? A synthesis of qualitative research.

PubMed

Fielden, Hannah G; Brown, Stephen L; Saini, Pooja; Beesley, Helen; Salmon, Peter

2017-09-01

Risk-reducing procedures can be offered to people at increased cancer risk, but many procedures can have iatrogenic effects. People therefore need to weigh risks associated with both cancer and the risk-reduction procedure in their decisions. By reviewing relevant literature on breast cancer (BC) risk reduction, we aimed to understand how women at relatively high risk of BC perceive their risk and how their risk perceptions influence their decisions about risk reduction. Synthesis of 15 qualitative studies obtained from systematic searches of SCOPUS, Web of Knowledge, PsychINFO, and Medline electronic databases (inception-June 2015). Women did not think about risk probabilistically. Instead, they allocated themselves to broad risk categories, typically influenced by their own or familial experiences of BC. In deciding about risk-reduction procedures, some women reported weighing the risks and benefits, but papers did not describe how they did so. For many women, however, an overriding wish to reduce intense worry about BC led them to choose aggressive risk-reducing procedures without such deliberation. Reasoning that categorisation is a fundamental aspect of risk perception, we argue that patients can be encouraged to develop more nuanced and accurate categorisations of their own risk through their interactions with clinicians. Empirically-based ethical reflection is required to determine whether and when it is appropriate to provide risk-reduction procedures to alleviate worry. © 2016 The Authors. Psycho-Oncology Published by John Wiley & Sons Ltd.

Key Issues in the Practice of Youth Development

ERIC Educational Resources Information Center

Silliman, Benjamin

2004-01-01

Three significant trends in youth development practice are discussed: movement toward consensus in models guiding practice, movement toward science-based practice, and increasing resources available to practitioners. Consensus on an ecological framework for risk reduction and competence building among advocates for prevention, resilience, and…

The Preventable Admissions Care Team (PACT): A Social Work-Led Model of Transitional Care.

PubMed

Basso Lipani, Maria; Holster, Kathleen; Bussey, Sarah

2015-10-01

In 2010, the Preventable Admissions Care Team (PACT), a social work-led transitional care model, was developed at Mount Sinai to reduce 30-day readmissions among high-risk patients. PACT begins with a comprehensive bedside assessment to identify the psychosocial drivers of readmission. In partnership with the patient and family, a patient-centered action plan is developed and carried out through phone calls, accompaniments, navigations and home visits, as needed, in the first 30 days following discharge. 620 patients were enrolled during the pilot from September 2010-August 2012. Outcomes demonstrated a 43% reduction in inpatient utilization and a 54% reduction in emergency department visits among enrollees. In addition, 93% of patients had a follow-up appointment within 7-10 days of discharge and 90% of patients attended the appointment. The success of PACT has led to additional funding from the Centers for Medicare and Medicaid Services under the Community-based Care Transitions Program and several managed care companies seeking population health management interventions for high risk members.

Evaluation of minimum coverage size and orbital accuracy at different orbital regimes for one order of magnitude reduction of the catastrophic collision risk

NASA Astrophysics Data System (ADS)

Sánchez-Ortiz, Noelia; Domínguez-González, Raúl; Krag, Holger

2015-03-01

One of the main objectives of Space Surveillance and Tracking (SST) systems is to support space collision avoidance activities. This collision avoidance capability aims to significantly reduce the catastrophic collision risk of space objects. In particular, for the case of the future European SST, the objective is translated into a risk reduction of one order of magnitude whilst keeping a low number of false alarm events. In order to translate this aim into system requirements, an evaluation of the current catastrophic collision risk for different orbital regimes is addressed. The reduction of such risk depends on the amount of catalogued objects (coverage) and the knowledge of the associated orbits in the catalogue (accuracy). This paper presents an analysis of the impact of those two aspects in the capability to reduce the catastrophic collision risk at some orbital regimes. A reliable collision avoidance support depends on the accuracy of the predicted miss-events. The assessment of possible conjunctions is normally done by computing the estimated miss-distances between objects (which is compared with a defined distance threshold) or by computing the associated collision risk (which is compared with the corresponding accepted collision probability level). This second method is normally recommended because it takes into account the reliability of the orbits and allows reducing false alarm events. The collision risk depends on the estimated miss-distance, the object sizes and the accuracy of the two orbits at the time of event. This accuracy depends on the error of the orbits at the orbit determination epoch and the error derived from the propagation from that epoch up to the time of event. The modified DRAMA ARES (Domínguez-González et al., 2012, 2013a,b; Gelhaus et al., 2014) provides information on the expected number of encounters for a given mission and year. It also provides information on the capacity to reduce the risk of collision by means of avoidance manoeuvres as a function of the accepted collision probability level and the cataloguing performance of the surveillance system (determined by the limiting coverage size-altitude function and the orbital data accuracy). The assessment of avoidance strategies takes into account statistical models of the space object environment, as provided by ESA's MASTER-2009 model, and a mathematical framework for the collision risk estimation as used in satellite operations. In this papers, results are provided for some orbit types, covering different orbital regimes. The analysis is done for different cataloguing capacity levels (accuracy and coverage), concluding that 5 cm are to be covered at LEO for diminishing the catastrophic collision risk by one order of magnitude. For MEO and GEO regime, coverage down to 40 and 100 cm respectively allow similar reduction of risk.

Mechanisms of Partner Violence Reduction in a Group HIV-Risk Intervention for Hispanic Women.

PubMed

McCabe, Brian E; Gonzalez-Guarda, Rosa M; Peragallo, Nilda P; Mitrani, Victoria B

2016-08-01

The objective of this study was to test whether partner communication about HIV and/or alcohol intoxication mediated reductions in intimate partner violence (IPV) in SEPA (Salud [health], Educación [education], Promoción [promotion], y [and] Autocuidado [self-care]), a culturally specific, theoretically based group HIV-risk reduction intervention for Hispanic women. SEPA had five sessions covering sexually transmitted infection (STI)/HIV prevention, partner communication, condom negotiation and use, and IPV. SEPA reduced IPV and alcohol intoxication, and improved partner communication compared with controls in a randomized trial with adult U.S. Hispanic women (SEPA, n = 274; delayed intervention control, n = 274) who completed structured interviews at baseline and 3, 6, and 12 months post-baseline. Parallel process latent growth curve models indicated that partner communication about HIV mediated the reduction in male-to-female IPV in SEPA, B = -0.78, SE = 0.14, p< .001, but alcohol intoxication did not, B = -0.15, SE = 0.19, p = .431. Male-to-female IPV mediated the intervention effect on female-to-male IPV, B = -1.21, SE = 0.24, p< .001. Skills building strategies originally designed to enhance women's communication with their partners about sexual risk behaviors also worked to reduce male-to-female IPV, which in turn reduced female-to-male IPV. These strategies could be integrated into other types of health promotion interventions. © The Author(s) 2015.

Quantitative risk assessment of human campylobacteriosis associated with thermophilic Campylobacter species in chickens.

PubMed

Rosenquist, Hanne; Nielsen, Niels L; Sommer, Helle M; Nørrung, Birgit; Christensen, Bjarke B

2003-05-25

A quantitative risk assessment comprising the elements hazard identification, hazard characterization, exposure assessment, and risk characterization has been prepared to assess the effect of different mitigation strategies on the number of human cases in Denmark associated with thermophilic Campylobacter spp. in chickens. To estimate the human exposure to Campylobacter from a chicken meal and the number of human cases associated with this exposure, a mathematical risk model was developed. The model details the spread and transfer of Campylobacter in chickens from slaughter to consumption and the relationship between ingested dose and the probability of developing campylobacteriosis. Human exposure was estimated in two successive mathematical modules. Module 1 addresses changes in prevalence and numbers of Campylobacter on chicken carcasses throughout the processing steps of a slaughterhouse. Module 2 covers the transfer of Campylobacter during food handling in private kitchens. The age and sex of consumers were included in this module to introduce variable hygiene levels during food preparation and variable sizes and compositions of meals. Finally, the outcome of the exposure assessment modules was integrated with a Beta-Poisson dose-response model to provide a risk estimate. Simulations designed to predict the effect of different mitigation strategies showed that the incidence of campylobacteriosis associated with consumption of chicken meals could be reduced 30 times by introducing a 2 log reduction of the number of Campylobacter on the chicken carcasses. To obtain a similar reduction of the incidence, the flock prevalence should be reduced approximately 30 times or the kitchen hygiene improved approximately 30 times. Cross-contamination from positive to negative flocks during slaughter had almost no effect on the human Campylobacter incidence, which indicates that implementation of logistic slaughter will only have a minor influence on the risk. Finally, the simulations showed that people in the age of 18-29 years had the highest risk of developing campylobacteriosis.

Consideration on the health risk reduction related to attainment of the new particulate matter standards in Poland: A top-down policy risk assessment approach.

PubMed

Kobza, Joanna; Pastuszka, Józef S; Gulis, Gabriel

2016-01-01

Policies can influence health of a population in various ways. Numerous epidemiological studies supported by toxicological investigations demonstrate a positive association between ambient concentrations of airborne particulate matter and increased adverse cardio-respiratory events, including morbidity and mortality. The aim of this paper was to present the concept of the top-down health policy risk assessment approach model developed to estimate the expected health risk reduction associated with policy aiming at attaining the new particulate matter ≤ 10 μm in diameter (PM10) standards in Poland. The top-down approach guides the analysis of causal chains from the policy to health outcomes. In this case study we tried to estimate the predicted health effects of the policy change over the past 20 years. Since Polish annual standard for PM10 changed from 50 μg/m³ in 1990 to 40 μg/m³ in 2010, we calculated the relative risk associated with decreasing PM10 in diameter to 10 μg/m3 in the annual level of PM10 for 6 adverse health effects. The relative risk slightly decreased for almost all adverse health effects, which means that the relative decrease in the incidence of health effects from the baseline incidence should range from about 0.5-0.6% for heart disease admissions to > 1% for respiratory admissions. The obtained results indicate that implementation of the new ambient air standards could influence improvement of the health status of Polish population. A top-down policy health risk assessment model can be one of the main tools in this process, providing harmonized guidance how to seek evidence-based information, which could serve policy-makers. This work is available in Open Access model and licensed under a CC BY-NC 3.0 PL license.

COLLABORATIVE MODELING OF THE BENEFITS AND HARMS ASSOCIATED WITH DIFFERENT U.S. BREAST CANCER SCREENING STRATEGIES

PubMed Central

Mandelblatt, Jeanne S.; Stout, Natasha K.; Schechter, Clyde B.; van den Broek, Jeroen J.; Miglioretti, Diana; Krapcho, Martin; Trentham-Dietz, Amy; Munoz, Diego; Lee, Sandra J.; Berry, Donald A.; van Ravesteyn, Nicolien T.; Alagoz, Oguzhan; Kerlikowske, Karla; Tosteson, Anna N.A.; Near, Aimee M.; Hoeffken, Amanda; Chang, Yaojen; Heijnsdijk, Eveline A.; Chisholm, Gary; Huang, Xuelin; Huang, Hui; Ergun, Mehmet Ali; Gangnon, Ronald; Sprague, Brian L.; Plevritis, Sylvia; Feuer, Eric; de Koning, Harry J.; Cronin, Kathleen A.

2016-01-01

Background Controversy persists about optimal mammography screening strategies. Objective To evaluate mammography strategies considering screening and treatment advances. Design Collaboration of six simulation models. Data Sources National data on incidence, risk, breast density, digital mammography performance, treatment effects, and other-cause mortality. Target Population An average-risk cohort. Time Horizon Lifetime. Perspective Societal. Interventions Mammograms from age 40, 45 or 50 to 74 at annual or biennial intervals, or annually from 40 or 45 to 49 then biennially to 74, assuming 100% screening and treatment adherence. Outcome Measures Screening benefits (vs. no screening) include percent breast cancer mortality reduction, deaths averted, and life-years gained. Harms include number of mammograms, false-positives, benign biopsies, and overdiagnosis. Results for Average-Risk Women Biennial strategies maintain 79.8%-81.3% (range across strategies and models: 68.3–98.9%) of annual screening benefits with almost half the false-positives and fewer overdiagnoses. Screening biennially from ages 50–74 achieves a median 25.8% (range: 24.1%-31.8%) breast cancer mortality reduction; annual screening from ages 40–74 years reduces mortality an additional 12.0% (range: 5.7%-17.2%) vs. no screening, but yields 1988 more false-positives and 7 more overdiagnoses per 1000 women screened. Annual screening from ages 50–74 had similar benefits as other strategies but more harms, so would not be recommended. Sub-population Results Annual screening starting at age 40 for women who have a two- to four-fold increase in risk has a similar balance of harms and benefits as biennial screening of average-risk women from 50–74. Limitations We do not consider other imaging technologies, polygenic risk, or non-adherence. Conclusion These results suggest that biennial screening is efficient for average-risk groups, but decisions on strategies depend on the weight given to the balance of harms and benefits. Primary Funding Source National Institutes of Health PMID:26756606

A framework for quantifying net benefits of alternative prognostic models‡

PubMed Central

Rapsomaniki, Eleni; White, Ian R; Wood, Angela M; Thompson, Simon G

2012-01-01

New prognostic models are traditionally evaluated using measures of discrimination and risk reclassification, but these do not take full account of the clinical and health economic context. We propose a framework for comparing prognostic models by quantifying the public health impact (net benefit) of the treatment decisions they support, assuming a set of predetermined clinical treatment guidelines. The change in net benefit is more clinically interpretable than changes in traditional measures and can be used in full health economic evaluations of prognostic models used for screening and allocating risk reduction interventions. We extend previous work in this area by quantifying net benefits in life years, thus linking prognostic performance to health economic measures; by taking full account of the occurrence of events over time; and by considering estimation and cross-validation in a multiple-study setting. The method is illustrated in the context of cardiovascular disease risk prediction using an individual participant data meta-analysis. We estimate the number of cardiovascular-disease-free life years gained when statin treatment is allocated based on a risk prediction model with five established risk factors instead of a model with just age, gender and region. We explore methodological issues associated with the multistudy design and show that cost-effectiveness comparisons based on the proposed methodology are robust against a range of modelling assumptions, including adjusting for competing risks. Copyright © 2011 John Wiley & Sons, Ltd. PMID:21905066

Reduction in Sexual Risk Behaviors among College Students Following a Comprehensive Health Education Intervention.

ERIC Educational Resources Information Center

Turner, James C.; And Others

1993-01-01

Researchers studied college students' sexual behavior and the association of a comprehensive health education program with subsequent sexual risk behavior modifications. Pre- and postintervention surveys indicated the intervention created short-term reduction in sexual risk behaviors, but the reduction varied according to gender. (SM)

On-ground casualty risk reduction by structural design for demise

NASA Astrophysics Data System (ADS)

Lemmens, Stijn; Funke, Quirin; Krag, Holger

2015-06-01

In recent years, awareness concerning the on-ground risk posed by un-controlled re-entering space systems has increased. On average over the past decade, an object with mass above 800 kg re-enters every week from which only a few, e.g. ESA's GOCE in 2013 and NASA's UARS in 2011, appeared prominent in international media. Space agencies and nations have discussed requirements to limit the on-ground risk for future missions. To meet the requirements, the amount of debris falling back on Earth has to be limited in number, mass and size. Design for demise (D4D) refers to all measures taken in the design of a space object to increase the potential for demise of the object and its components during re-entry. SCARAB (Spacecraft Atmospheric Re-entry and Break-Up) is ESA's high-fidelity tool which analyses the thermal and structural effects of atmospheric re-entry on spacecraft with a finite-element approach. For this study, a model of a representative satellite is developed in SCARAB to serve as test-bed for D4D analyses on a structural level. The model is used as starting point for different D4D approaches based on increasing the exposure of the satellite components to the aero-thermal environment, as a way to speed up the demise. Statistical bootstrapping is applied to the resulting on-ground fragment lists in order to compare the different re-entry scenarios and to determine the uncertainties of the results. Moreover, the bootstrap results can be used to analyse the casualty risk estimator from a theoretical point of view. The risk reductions for the analysed D4D techniques are presented with respect to the reference scenario for the modelled representative satellite.

On-Ground Casualty Risk Reduction by Structural Design for Demise

NASA Astrophysics Data System (ADS)

Lemmens, Stijn; Krag, Holger; Funke, Quirin

In recent years, awareness concerning the risk posed by un-controlled re-entering spacecraft on ground has increased. Some re-entry events such as ESA's GOCE in 2013 and NASA's UARS appeared prominent in international media. Space agencies and nations, in cooperation within the Inter-Agency Space Debris Coordination Committee (IADC), have established a requirements to limited the on-ground risk for future missions. To meet the requirements, the amount of debris falling back on Earth has to be limited in number, mass and size. Design for demise (D4D) refers to all measures taken in the design of a space object to increase the potential for demise of the object and its components during re-entry. SCARAB (Spacecraft Atmospheric Re-entry and Break-Up) is ESA's high-fidelity tool which analyses the thermal and structural effects of atmospheric re-entry on spacecraft in a finite-element approach. For this study, a model of a representative satellite is developed in Scarab to serve as test-bed for D4D analysis on a structural level. The model is used as starting point for different D4D approaches based on increasing the exposure of the satellite components to the aero-thermal environment, as a way to speed up the demise. Statistical bootstrapping is applied to the resulting on-ground fragment lists in order to compare the different re-entry scenarios and to determine the uncertainties of the results. Moreover, the bootstrap results can be used to analyse the casualty risk estimator from a theoretical point of view. The risk reductions for the analysed D4D techniques are presented w.r.t. the reference scenario for the modelled representative satellite.

Solar irradiance reduction to counteract radiative forcing from a quadrupling of CO2: climate responses simulated by four earth system models

NASA Astrophysics Data System (ADS)

Schmidt, H.; Alterskjær, K.; Karam, D. Bou; Boucher, O.; Jones, A.; Kristjánsson, J. E.; Niemeier, U.; Schulz, M.; Aaheim, A.; Benduhn, F.; Lawrence, M.; Timmreck, C.

2012-06-01

In this study we compare the response of four state-of-the-art Earth system models to climate engineering under scenario G1 of two model intercomparison projects: GeoMIP (Geoengineering Model Intercomparison Project) and IMPLICC (EU project "Implications and risks of engineering solar radiation to limit climate change"). In G1, the radiative forcing from an instantaneous quadrupling of the CO2 concentration, starting from the preindustrial level, is balanced by a reduction of the solar constant. Model responses to the two counteracting forcings in G1 are compared to the preindustrial climate in terms of global means and regional patterns and their robustness. While the global mean surface air temperature in G1 remains almost unchanged compared to the control simulation, the meridional temperature gradient is reduced in all models. Another robust response is the global reduction of precipitation with strong effects in particular over North and South America and northern Eurasia. In comparison to the climate response to a quadrupling of CO2 alone, the temperature responses are small in experiment G1. Precipitation responses are, however, in many regions of comparable magnitude but globally of opposite sign.

Talking About Type 2 Diabetes: Family Communication From the Perspective of At-Risk Relatives.

PubMed

Myers, Melanie F; Fernandes, Sara L; Arduser, Lora; Hopper, Jennifer L; Koehly, Laura M

2015-12-01

The purpose of this study was to describe type 2 diabetes (T2DM) communication and risk reduction recommendations from the perspective of family members at risk for T2DM based on family history. Semistructured qualitative interviews were conducted with 33 individuals with a first-degree relative with T2DM. Participants were recruited from the community and a previous pharmacogenetics study. Deductive and inductive codes were applied to the transcripts. Conversations with family members with and without T2DM focused on symptoms and disease management of the family member with T2DM. With at-risk relatives, conversations also focused on prevention. Lack of perceived relevance to family members without T2DM was a barrier to communication. Recommendations to facilitate communication included education of an at-risk family member to increase awareness of risk, followed by sharing of learned information with others. Efforts are needed to increase awareness and improve communication about T2DM risk factors, familial risk, and risk reduction behaviors within families with a family history of T2DM. Family members with and without T2DM should be encouraged to communicate with their relatives about T2DM and the risk to family members. Identification of family members who can facilitate communication, education, and modeling of healthy behaviors may increase awareness and motivate at-risk individuals to engage in risk-reducing behaviors. © 2015 The Author(s).

A healthy lifestyle index and its association with risk of breast, endometrial, and ovarian cancer among Canadian women.

PubMed

Arthur, Rhonda; Kirsh, Victoria A; Kreiger, Nancy; Rohan, Thomas

2018-06-01

Several modifiable risk factors have been associated with risk of female cancers, but there is limited data regarding their combined effect on risk among Canadian women. Therefore, we assessed the joint association of modifiable risk factors, using a healthy lifestyle index (HLI) score, with risk of specific reproductive cancers. This study included a subcohort of 3,185 of the 39,618 women, who participated in the Canadian Study of Diet, Lifestyle, and Health, and in whom 410, 177, and 100 postmenopausal breast, endometrial, and ovarian cancers, respectively, were ascertained. We estimated hazard ratios (HR) and 95% confidence intervals (CI) using Cox proportional hazards regression models modified for the case-cohort design. Each unit increase in the HLI score was associated with 3% and 5% reductions in risk of postmenopausal breast cancer and endometrial cancer, respectively (HR 0.97; 95% CI 0.94-0.99 and HR 0.95; 95% CI 0.90-0.99, respectively). Compared to those with HLI score in the lowest category, those in the highest category had 30% and 46% reductions in risk of these cancers, respectively. The HLI score was not associated with altered risk of ovarian cancer. Our findings suggest that promoting a healthy lifestyle may aid in the primary prevention of postmenopausal breast and endometrial cancers.

Predicting Major Bleeding in Ischemic Stroke Patients With Atrial Fibrillation.

PubMed

Hilkens, Nina A; Algra, Ale; Greving, Jacoba P

2017-11-01

Performance of risk scores for major bleeding in patients with atrial fibrillation and a previous transient ischemic attack or ischemic stroke is not well established. We aimed to validate risk scores for major bleeding in patients with atrial fibrillation treated with oral anticoagulants after cerebral ischemia and explore the net benefit of oral anticoagulants among bleeding risk categories. We analyzed 3623 patients with a history of transient ischemic attack or stroke included in the RE-LY trial (Randomized Evaluation of Long-Term Anticoagulation Therapy). We assessed performance of HEMORR 2 HAGES (hepatic or renal disease, ethanol abuse, malignancy, older age, reduced platelet count or function, hypertension [uncontrolled], anemia, genetic factors, excessive fall risk, and stroke), Shireman, HAS-BLED (hypertension, abnormal renal/liver function, stroke, bleeding history or predisposition, labile international normalized ratio, elderly, drugs/alcohol concomitantly), ATRIA (Anticoagulation and Risk Factors in Atrial Fibrillation), and ORBIT scores (older age, reduced haemoglobin/haematocrit/history of anaemia, bleeding history, insufficient kidney function, and treatment with antiplatelet) with C statistics and calibration plots. Net benefit of oral anticoagulants was explored by comparing risk reduction in ischemic stroke with risk increase in major bleedings on warfarin. During 6922 person-years of follow-up, 266 patients experienced a major bleed (3.8 per 100 person-years). C statistics ranged from 0.62 (Shireman) to 0.67 (ATRIA). Calibration was poor for ATRIA and moderate for other models. The reduction in recurrent ischemic strokes on warfarin was larger than the increase in major bleeding risk, irrespective of bleeding risk category. Performance of prediction models for major bleeding in patients with cerebral ischemia and atrial fibrillation is modest but comparable with performance in patients with only atrial fibrillation. Bleeding risk scores cannot guide treatment decisions for oral anticoagulants but may still be useful to identify modifiable risk factors for bleeding. Clinical usefulness may be best for ORBIT, which is based on a limited number of easily obtainable variables and showed reasonable performance. © 2017 American Heart Association, Inc.

Using Integrative Data Analysis to Examine Changes in Alcohol Use and Changes in Sexual Risk Behavior across Four Samples of STI Clinic Patients

PubMed Central

Walsh, Jennifer L.; Weinhardt, Lance S.; Kalichman, Seth C.; Carey, Michael P.

2016-01-01

Background Patients in sexually transmitted infection (STI) clinics report high levels of alcohol use, which are associated with risky sexual behavior. However, no studies have examined how changes in alcohol use relate to changes in sexual risk behavior. Purpose We used parallel process latent growth modeling to explore how changes in alcohol use related to changes in sexual behavior across four samples of clinic patients. Methods Patients participating in HIV prevention trials from urban clinics in the Northeastern and Midwestern U.S. (N = 3,761, 59% male, 72% Black) completed measures at 3mo intervals over 9-12mo. Integrative data analysis was used to create composite measures of alcohol use across samples. Sexual risk measures were counts of partners and unprotected sex acts. Parallel process models tested whether alcohol use changes were correlated with changes in number of partners and unprotected sex. Results Growth models with good fit showed decreases that slowed over time in sexual risk behaviors and alcohol use. Parallel process models showed positive correlations between levels of (rs =.17-.40, ps < .001) and changes in (rs = .21-.80, ps < .05) alcohol use and number of sexual partners across studies. There were strong associations between levels of (rs = .25-.43, ps < .001) and changes in (rs = .24-.57, ps < .01) alcohol use and unprotected sex in one study recruiting hazardous drinkers. Conclusions Across four samples of clinic patients, reductions in alcohol use were associated with reductions in the number of sexual partners. HIV prevention interventions may be strengthened by addressing alcohol use. PMID:27550626

Reducing eating disorder risk factors: A pilot effectiveness trial of a train-the-trainer approach to dissemination and implementation.

PubMed

Greif, Rebecca; Becker, Carolyn Black; Hildebrandt, Tom

2015-12-01

Impediments limit dissemination and implementation of evidence-based interventions (EBIs), including lack of sufficient training. One strategy to increase implementation of EBIs is the train-the-trainer (TTT) model. The Body Project is a peer-led body image program that reduces eating disorder (ED) risk factors. This study examined the effectiveness of a TTT model at reducing risk factors in Body Project participants. Specifically, this study examined whether a master trainer could train a novice trainer to train undergraduate peer leaders to administer the Body Project such that individuals who received the Body Project (i.e., participants) would evidence comparable outcomes to previous trials. We hypothesized that participants would evidence reductions in ED risk factors, with effect sizes similar to previous trials. Utilizing a TTT model, a master trainer trained a novice trainer to train undergraduate peer leaders to administer the Body Project to undergraduate women. Undergraduate women aged 18 years or older who received the Body Project intervention participated in the trial and completed measures at baseline, post-treatment, and five-month follow-up. Primary outcomes included body dissatisfaction, thin ideal internalization, negative affect, and ED pathology. Participants demonstrated significant reductions in thin ideal internalization, ED pathology and body dissatisfaction at post-treatment and 5-month follow-up. At 5 months, using three different strategies for managing missing data, effect sizes were larger or comparable to earlier trials for 3 out of 4 variables. Results support a TTT model for Body Project implementation and the importance of utilizing sensitivity analyses for longitudinal datasets with missing data. © 2015 Wiley Periodicals, Inc.

Risk analysis based on hazards interactions

NASA Astrophysics Data System (ADS)

Rossi, Lauro; Rudari, Roberto; Trasforini, Eva; De Angeli, Silvia; Becker, Joost

2017-04-01

Despite an increasing need for open, transparent, and credible multi-hazard risk assessment methods, models, and tools, the availability of comprehensive risk information needed to inform disaster risk reduction is limited, and the level of interaction across hazards is not systematically analysed. Risk assessment methodologies for different hazards often produce risk metrics that are not comparable. Hazard interactions (consecutive occurrence two or more different events) are generally neglected, resulting in strongly underestimated risk assessment in the most exposed areas. This study presents cases of interaction between different hazards, showing how subsidence can affect coastal and river flood risk (Jakarta and Bandung, Indonesia) or how flood risk is modified after a seismic event (Italy). The analysis of well documented real study cases, based on a combination between Earth Observation and in-situ data, would serve as basis the formalisation of a multi-hazard methodology, identifying gaps and research frontiers. Multi-hazard risk analysis is performed through the RASOR platform (Rapid Analysis and Spatialisation Of Risk). A scenario-driven query system allow users to simulate future scenarios based on existing and assumed conditions, to compare with historical scenarios, and to model multi-hazard risk both before and during an event (www.rasor.eu).

Estimating risk reduction required to break even in a health promotion program.

PubMed

Ozminkowski, Ronald J; Goetzel, Ron Z; Santoro, Jan; Saenz, Betty-Jo; Eley, Christine; Gorsky, Bob

2004-01-01

To illustrate a formula to estimate the amount of risk reduction required to break even on a corporate health promotion program. A case study design was implemented. Base year (2001) health risk and medical expenditure data from the company, along with published information on the relationships between employee demographics, health risks, and medical expenditures, were used to forecast demographics, risks, and expenditures for 2002 through 2011 and estimate the required amount of risk reduction. Motorola. 52,124 domestic employees. Demographics included age, gender, race, and job type. Health risks for 2001 were measured via health risk appraisal. Risks were noted as either high or low and related to exercise/eating habits, body weight, blood pressure, blood sugar levels, cholesterol levels, depression, stress, smoking/drinking habits, and seat belt use. Medical claims for 2001 were used to calculate medical expenditures per employee. Assuming a dollar 282 per employee program cost, Motorola employees would need to reduce their lifestyle-related health risks by 1.08% to 1.42% per year to break even on health promotion programming, depending upon the discount rate. Higher or lower program investments would change the risk reduction percentages. Employers can use information from published studies, along with their own data, to estimate the amount of risk reduction required to break even on their health promotion programs.

Assessing evidence for behaviour change affecting the course of HIV epidemics: a new mathematical modelling approach and application to data from Zimbabwe.

PubMed

Hallett, Timothy B; Gregson, Simon; Mugurungi, Owen; Gonese, Elizabeth; Garnett, Geoff P

2009-06-01

Determining whether interventions to reduce HIV transmission have worked is essential, but complicated by the potential for generalised epidemics to evolve over time without individuals changing risk behaviour. We aimed to develop a method to evaluate evidence for changes in risk behaviour altering the course of an HIV epidemic. We developed a mathematical model of HIV transmission, incorporating the potential for natural changes in the epidemic as it matures and the introduction of antiretroviral treatment, and applied a Bayesian Melding framework, in which the model and observed trends in prevalence can be compared. We applied the model to Zimbabwe, using HIV prevalence estimates from antenatal clinic surveillance and house-hold based surveys, and basing model parameters on data from sexual behaviour surveys. There was strong evidence for reductions in risk behaviour stemming HIV transmission. We estimate these changes occurred between 1999 and 2004 and averted 660,000 (95% credible interval: 460,000-860,000) infections by 2008. The model and associated analysis framework provide a robust way to evaluate the evidence for changes in risk behaviour affecting the course of HIV epidemics, avoiding confounding by the natural evolution of HIV epidemics.

Can theory predict the process of suicide on entry to prison? Predicting dynamic risk factors for suicide ideation in a high-risk prison population.

PubMed

Slade, Karen; Edelman, Robert

2014-01-01

Each year approximately 110,000 people are imprisoned in England and Wales and new prisoners remain one of the highest risk groups for suicide across the world. The reduction of suicide in prisoners remains difficult as assessments and interventions tend to rely on static risk factors with few theoretical or integrated models yet evaluated. To identify the dynamic factors that contribute to suicide ideation in this population based on Williams and Pollock's (2001) Cry of Pain (CoP) model. New arrivals (N = 198) into prison were asked to complete measures derived from the CoP model plus clinical and prison-specific factors. It was hypothesized that the factors of the CoP model would be predictive of suicide ideation. Support was provided for the defeat and entrapment aspects of the CoP model with previous self-harm, repeated times in prison, and suicide-permissive cognitions also key in predicting suicide ideation for prisoners on entry to prison. An integrated and dynamic model was developed that has utility in predicting suicide in early-stage prisoners. Implications for both theory and practice are discussed along with recommendations for future research.

Decreased Odds of Injection Risk Behavior Associated With Direct Versus Indirect Use of Syringe Exchange: Evidence From Two California Cities.

PubMed

Behrends, Czarina N; Li, Chin-Shang; Gibson, David R

2017-07-29

While there is substantial evidence that syringe exchange programs (SEPs) are effective in preventing HIV among people who inject drugs (PWID), nearly all the evidence comes from PWID who obtain syringes from an SEP directly. Much less is known about the benefits of secondary exchange to PWID who get syringes indirectly from friends or acquaintances who visit an SEP for them. We evaluated the effectiveness of direct versus indirect syringe exchange in reducing HIV-related high-risk injecting behavior among PWID in two separate studies conducted in Sacramento and San Jose, California, cities with quite different syringe exchange models. In both studies associations between direct and indirect syringe exchange and self-reported risk behavior were examined with multivariable logistic regression models. Study 1 assessed effects of a "satellite" home-delivery syringe exchange in Sacramento, while Study 2 evaluated a conventional fixed-site exchange in San Jose. Multivariable analyses revealed 95% and 69% reductions, respectively, in high-risk injection associated with direct use of the SEPs in Sacramento and San Jose, and a 46% reduction associated with indirect use of the SEP in Sacramento. Conclusions/Importance: The very large effect of direct SEP use in Sacramento was likely due in part to home delivery of sterile syringes. While more modest effects were associated with indirect use, such use nevertheless is valuable in reducing the risk of HIV transmission of PWID who are unable or unwilling to visit a syringe exchange.

Toward Risk Reduction for Mobile Service Composition.

PubMed

Deng, Shuiguang; Huang, Longtao; Li, Ying; Zhou, Honggeng; Wu, Zhaohui; Cao, Xiongfei; Kataev, Mikhail Yu; Li, Ling

2016-08-01

The advances in mobile technologies enable us to consume or even provide services through powerful mobile devices anytime and anywhere. Services running on mobile devices within limited range can be composed to coordinate together through wireless communication technologies and perform complex tasks. However, the mobility of users and devices in mobile environment imposes high risk on the execution of the tasks. This paper targets reducing this risk by constructing a dependable service composition after considering the mobility of both service requesters and providers. It first proposes a risk model and clarifies the risk of mobile service composition; and then proposes a service composition approach by modifying the simulated annealing algorithm. Our objective is to form a service composition by selecting mobile services under the mobility model and to ensure the service composition have the best quality of service and the lowest risk. The experimental results demonstrate that our approach can yield near-optimal solutions and has a nearly linear complexity with respect to a problem size.

The Envy of Scholars: Applying the Lessons of the Framingham Heart Study to the Prevention of Chronic Kidney Disease.

PubMed

Wasser, Walter G; Gil, Amnon; Skorecki, Karl L

2015-07-30

During the past 50 years, a dramatic reduction in the mortality rate associated with cardiovascular disease has occurred in the US and other countries. Statistical modeling has revealed that approximately half of this reduction is the result of risk factor mitigation. The successful identification of such risk factors was pioneered and has continued with the Framingham Heart Study, which began in 1949 as a project of the US National Heart Institute (now part of the National Heart, Lung, and Blood Institute). Decreases in total cholesterol, blood pressure, smoking, and physical inactivity account for 24%, 20%, 12%, and 5% reductions in the mortality rate, respectively. Nephrology was designated as a recognized medical professional specialty a few years later. Hemodialysis was first performed in 1943. The US Medicare End-Stage Renal Disease (ESRD) Program was established in 1972. The number of patients in the program increased from 5,000 in the first year to more than 500,000 in recent years. Only recently have efforts for risk factor identification, early diagnosis, and prevention of chronic kidney disease (CKD) been undertaken. By applying the approach of the Framingham Heart Study to address CKD risk factors, we hope to mirror the success of cardiology; we aim to prevent progression to ESRD and to avoid the cardiovascular complications associated with CKD. In this paper, we present conceptual examples of risk factor modification for CKD, in the setting of this historical framework.

Development of risk reduction behavioral counseling for Ebola virus disease survivors enrolled in the Sierra Leone Ebola Virus Persistence Study, 2015-2016

PubMed Central

Malik, Tasneem; Ariyarajah, Archchun; Ongpin, Patricia; Hogben, Matthew; McDonald, Suzanna L. R.; Marrinan, Jaclyn; Massaquoi, Thomas; Thorson, Anna; Ervin, Elizabeth; Bernstein, Kyle; Ross, Christine; Liu, William J.; Kroeger, Karen; Durski, Kara N.; Broutet, Nathalie; Knust, Barbara; Deen, Gibrilla F.

2017-01-01

Background During the 2014–2016 West Africa Ebola Virus Disease (EVD) epidemic, the public health community had concerns that sexual transmission of the Ebola virus (EBOV) from EVD survivors was a risk, due to EBOV persistence in body fluids of EVD survivors, particularly semen. The Sierra Leone Ebola Virus Persistence Study was initiated to investigate this risk by assessing EBOV persistence in numerous body fluids of EVD survivors and providing risk reduction counseling based on test results for semen, vaginal fluid, menstrual blood, urine, rectal fluid, sweat, tears, saliva, and breast milk. This publication describes implementation of the counseling protocol and the key lessons learned. Methodology/Principal findings The Ebola Virus Persistence Risk Reduction Behavioral Counseling Protocol was developed from a framework used to prevent transmission of HIV and other sexually transmitted infections. The framework helped to identify barriers to risk reduction and facilitated the development of a personalized risk-reduction plan, particularly around condom use and abstinence. Pre-test and post-test counseling sessions included risk reduction guidance, and post-test counseling was based on the participants’ individual test results. The behavioral counseling protocol enabled study staff to translate the study’s body fluid test results into individualized information for study participants. Conclusions/Significance The Ebola Virus Persistence Risk Reduction Behavioral Counseling Protocol provided guidance to mitigate the risk of EBOV transmission from EVD survivors. It has since been shared with and adapted by other EVD survivor body fluid testing programs and studies in Ebola-affected countries. PMID:28892490

Radiobiological foundation of crew radiation risk for mars mission

NASA Astrophysics Data System (ADS)

Shafirkin, A.

The results of a comprehensive clinico-physiological study of 250 dogs after 22 hours per day chronic exposure to gamma -radiation throughout their life are presented. The exposure duration was 3 and 6 years. The dose rate varied between 25 and 150 cSv/year to simulate galactic cosmic ray dose of crew members during mars mission. Several groups of the dogs received an additional acute dose of 10 and 50 cSv during a day three times per year to simulate stochastic irradiation caused by solar cosmic rays. Data on the status of regulatory systems of organism, exchange processes dynamics, organism reaction on additional functional loads are also presented. Organism reaction and dynamics of kinetic relations are considered in detail for most radiosensitive and regenerating tissue systems of the organism, namely, bloodforming system and spermatogenic epithelium. The results on life span reduction of the dogs and dog race characteristics after the radiation exposure are discussed. Based on the results obtained in this study and in model experiments realized with big amount of small laboratory animals that were exposed to a wide dose range, using other published data, mathematical models were developed, e. g. a model of radiation damage forming as dependent on time with taking into account recovery processes, and a model of radiation mortality rate of mammals. Based on these models and analysis of radiation environment behind various shielding on the route to Mars, crew radiation risk was calculated for space missions of various durations. Total radiation risk values for cosmonaut lifetime after the missions were also estimated together with expected life span reduction.

Radiobiological foundation of crew radiation risk for Mars mission

NASA Astrophysics Data System (ADS)

Aleksandr, Shafirkin; Grigoriev, Yurj

The results of a comprehensive clinico-physiological study of 250 dogs after 22 hours per day chronic exposure to gamma-radiation throughout their life are presented. The exposure duration was 3 and 6 years. The dose rate varied between 25 and 150 cSv/year to simulate galactic cosmic ray dose of crew members during mars mission. Several groups of the dogs received an additional acute dose of 10 and 50 cSv during a day three times per year to simulate stochastic irradiation caused by solar cosmic rays. Data on the status of regulatory systems of organism, exchange processes dynamics, organism reaction on additional functional loads are also presented. Organism reaction and dynamics of kinetic relations are considered in detail for most radiosensitive and regenerating tissue systems of the organism, namely, bloodforming system and spermatogenic epithelium. The results on life span reduction of the dogs and dog race characteristics after the radiation exposure are discussed. Based on the results obtained in this study and in model experiments realized with big amount of small laboratory animals that were exposed to a wide dose range, using other published data, mathematical models were developed, e. g. a model of radiation damage forming as dependent on time with taking into account recovery processes, and a model of radiation mortality rate of mammals. Based on these models and analysis of radiation environment behind various shielding on the route to Mars, crew radiation risk was calculated for space missions of various durations. Total radiation risk values for cosmonaut lifetime after the missions were also estimated together with expected life span reduction.

Evaluating nonindigenous species management in a Bayesian networks derived relative risk framework for Padilla Bay, WA, USA.

PubMed

Herring, Carlie E; Stinson, Jonah; Landis, Wayne G

2015-10-01

Many coastal regions are encountering issues with the spread of nonindigenous species (NIS). In this study, we conducted a regional risk assessment using a Bayesian network relative risk model (BN-RRM) to analyze multiple vectors of NIS introductions to Padilla Bay, Washington, a National Estuarine Research Reserve. We had 3 objectives in this study. The 1st objective was to determine whether the BN-RRM could be used to calculate risk from NIS introductions for Padilla Bay. Our 2nd objective was to determine which regions and endpoints were at greatest risk from NIS introductions. Our 3rd objective was to incorporate a management option into the model and predict endpoint risk if it were to be implemented. Eradication can occur at different stages of NIS invasions, such as the elimination of these species before being introduced to the habitat or removal of the species after settlement. We incorporated the ballast water treatment management scenario into the model, observed the risk to the endpoints, and compared this risk with the initial risk estimates. The model results indicated that the southern portion of the bay was at greatest risk because of NIS. Changes in community composition, Dungeness crab, and eelgrass were the endpoints most at risk from NIS introductions. The currents node, which controls the exposure of NIS to the bay from the surrounding marine environment, was the parameter that had the greatest influence on risk. The ballast water management scenario displayed an approximate 1% reduction in risk in this Padilla Bay case study. The models we developed provide an adaptable template for decision makers interested in managing NIS in other coastal regions and large bodies of water. © 2015 SETAC.

Adherence to cancer prevention guidelines and risk of breast cancer.

PubMed

Catsburg, Chelsea; Miller, Anthony B; Rohan, Thomas E

2014-11-15

Healthy eating patterns and keeping physically active are potentially more important for chronic disease prevention than intake or exclusion of specific food items or nutrients. To this end, many health organizations routinely publish dietary and lifestyle recommendations aimed at preventing chronic disease. Using data from the Canadian National Breast Screening Study, we investigated the association between breast cancer risk and adherence to two sets of guidelines specific for cancer prevention, namely the American Cancer Society (ACS) Guidelines and the World Cancer Research Fund/American Institute for Cancer Research (WCRF/AICR) Recommendations. At baseline, 49,613 women completed dietary and lifestyle questionnaires and height and weight measurements were taken. During a mean follow-up of 16.6 years, 2,503 incident cases of breast cancer were ascertained. Cox proportional hazard models were used to estimate hazard ratios (HR) and 95% confidence intervals (CI) for the association of meeting each guideline, and number of guidelines met, with breast cancer risk. The two sets of guidelines yielded similar results. Specifically, adherence to all six ACS guidelines was associated with a 31% reduction in breast cancer risk when compared to subjects adhering to at most one guideline (HR=0.69; 95% CI=0.49-0.97); similarly, adherence to six or seven of the WCRF/AICR guidelines was also associated with a 31% reduction in breast cancer risk (HR=0.69; 95% CI=0.47-1.00). Under either classification, meeting each additional guideline was associated with a 4-6% reduction in breast cancer risk. These results suggest that adherence to cancer prevention guidelines is associated with a reduced risk of breast cancer. © 2014 UICC.

Predicting the impact of population level risk reduction in cardio-vascular disease and stroke on acute hospital admission rates over a 5 year period--a pilot study.

PubMed

Whitfield, Malcolm D; Gillett, Michael; Holmes, Michael; Ogden, Elaine

2006-12-01

The brief for this study was to produce a practical, evidence based, financial planning tool, which could be used to present an economic argument for funding a public health-based prevention programme in coronary heart disease (CHD) related illness on the same basis as treatment interventions. To explore the possibility of using multivariate risk prediction equations, derived from the Framingham and other studies, to estimate how many people in a population are likely to be admitted to hospital in the next 5-10 years with cardio vascular disease (CVD) related events such as heart attacks, strokes, heart failure and kidney disease. To estimate the potential financial impact of reductions in hospital admissions, on an 'invest to save' basis, if primary care trusts (PCTs) were to invest in public health based interventions to reduce cardiovascular risk at a population level. The populations of five UK PCTs were entered into a spreadsheet based decision tree model, in terms of age and sex (this equated to around 620,000 adults). An estimation was made to determine how many people, in each age group, were likely to be diabetic. Population risk factors such as smoking rates, mean body mass index (BMI), mean total cholesterol and mean systolic blood pressure were entered by age group. The spreadsheet then used a variant of the Framingham equation to calculate how many non-diabetic people in each age group were likely to have a heart attack or stroke in the next 5 years. In addition heart failure and dialysis admission rates were estimated based upon risk factors for incidence. The United Kingdom Prospective Diabetes Study (UKPDS) risk engines 56 and 60 were used to calculate the risk of CHD and stroke, respectively, in people with type 2 diabetes. The spreadsheet deducted the number of people likely to die before reaching hospital and produced a predicted number of hospital admissions for each category over a 5-year period. The final part of the calculation attached a cost to the hospital activity using the UK Health Resource Grouping (HRG) tariffs. The predicted number of events in each of the primary care trusts was then compared with the actual number of events the previous year (2004/2005). The study used a decision tree type model, which was populated with data from the research literature. The model applied the risk equations to population data from five primary care trusts to estimate how many people would suffer from an acute CVD related event over the next 5 years. The predicted number of events was then compared with the actual number of acute admissions for heart attacks, strokes, heart failure, acute hypoglycaemic attacks, renal failure and coronary bypass surgery the previous year. The first outcome of the model was to compare the estimated number of people in each PCT likely to suffer from a heart attack, a stroke, heart failure or chronic kidney failure with the actual number the previous year 2004/2005. The predicted number was remarkably accurate in the case of heart attack and stroke. There was some over-prediction of chronic kidney disease (CKD) which could be accounted for by known under-diagnosis in this illness group and the inability of the model to pick up, at this stage, the fact that many CKD patients die of a CHD related event before they reach the stage of requiring renal replacement. The second outcome of the model was to estimate the financial consequence of risk reduction. Moderate reductions in risk in the order of around 2-4% were estimated to lead to saving in acute admission costs or around pounds sterling 5.4 million over 5 years. More ambitious targets of risk reduction in the order of 5-6% led to estimated savings of around pounds sterling 8.7 million. This study is not presented as the definitive approach to predicting the economic consequences of investment in public health on the cost of secondary care. It is simply a logical, systematic approach to quantifying these issues in order to present a business case for such investment. The research team do not know if the predicted savings would accrue from such investments; it is theoretical at this stage. The point is, however, that if the predictions are correct then the savings will accrue from over 4000 people, from an adult population of around 185,000 not having a heart attack or a stroke or an acute exacerbation of heart failure.

Stroke survivors' endorsement of a "stress belief model" of stroke prevention predicts control of risk factors for recurrent stroke.

PubMed

Phillips, L Alison; Tuhrim, Stanley; Kronish, Ian M; Horowitz, Carol R

2014-01-01

Perceptions that stress causes and stress-reduction controls hypertension have been associated with poorer blood pressure (BP) control in hypertension populations. The current study investigated these "stress-model perceptions" in stroke survivors regarding prevention of recurrent stroke and the influence of these perceptions on patients' stroke risk factor control. Stroke and transient ischemic attack survivors (N=600) participated in an in-person interview in which they were asked about their beliefs regarding control of future stroke; BP and cholesterol were measured directly after the interview. Counter to expectations, patients who endorsed a "stress-model" but not a "medication-model" of stroke prevention were in better control of their stroke risk factors (BP and cholesterol) than those who endorsed a medication-model but not a stress-model of stroke prevention (OR for poor control=.54, Wald statistic=6.07, p=.01). This result was not explained by between group differences in patients' reported medication adherence. The results have implications for theory and practice, regarding the role of stress belief models and acute cardiac events, compared to chronic hypertension.

Estimation of PM2.5 Concentration Efficiency and Potential Public Mortality Reduction in Urban China

PubMed Central

Yu, Anyu; Jia, Guangshe; You, Jianxin

2018-01-01

The particulate matter 2.5 (PM2.5) is a serious air-pollutant emission in China, which has caused serious risks to public health. To reduce the pollution and corresponding public mortality, this paper proposes a method by incorporating slacks-based data envelopment analysis (DEA) and an integrated exposure risk (IER) model. By identifying the relationship between the PM2.5 concentration and mortality, the potential PM2.5 concentration efficiency and mortality reduction were measured. The proposed method has been applied to China’s 243 cities in 2015. Some implications are achieved. (1) There are urban disparities in estimated results around China. The geographic distribution of urban mortality reduction is consistent with that of the PM2.5 concentration efficiency, but some inconsistency also exists. (2) The pollution reduction and public health improvement should be addressed among China’s cities, especially for those in northern coastal, eastern coastal, and middle Yellow River areas. The reduction experience of PM2.5 concentration in cities of the southern coastal area could be advocated in China. (3) Environmental consideration should be part of the production adjustment of urban central China. The updating of technology is suggested for specific cities and should be considered by the policymaker. PMID:29543783

Organisational downsizing as a predictor of disability pension: the 10-town prospective cohort study.

PubMed

Vahtera, Jussi; Kivimäki, Mika; Forma, Pauli; Wikström, Juhani; Halmeenmäki, Tuomo; Linna, Anne; Pentti, Jaana

2005-03-01

To examine whether downsizing, the reduction of personnel in organisations, is a predictor of increased risk of disability retirement among employees who kept their jobs. Prospective cohort study. Based on reductions of personnel in participants' occupation and workplace, employees were grouped into exposure categories of no downsizing (less than 8% reduction), minor downsizing (reduction between 8% and 18%), and major downsizing (more than 18% reduction). They were followed up for a five year period after downsizing. Four towns in Finland. 19 273 municipal employees, aged 21-54 years. All permanent full disability pensions granted because of medical reasons below 55 years of age between 1 January 1994 and 31 December 1998 from the national registers. In all, 223 employees were granted a permanent disability pension. The overall rate for disability pensions per 1000 employees was 7.7 after no downsizing, 13.1 after minor downsizing, and 14.9 after major downsizing. Cox proportional hazard models adjusted for age, sex, occupational status, type of employment contract, and town showed 1.81 (95% confidence intervals 1.22 to 2.70) times higher risk of disability retirement after major downsizing than after no downsizing. The immediate financial advantages of downsizing need to be considered in relation to increased occupational disability and the resulting extra costs to employers and society.

Understanding Acceptable Level of Risk: Incorporating the Economic Cost of Under-Managing Invasive Species.

PubMed

Davidson, Alisha D; Hewitt, Chad L; Kashian, Donna R

2015-01-01

Management of nonindigenous species includes prevention, early detection and rapid response and control. Early detection and rapid response depend on prioritizing and monitoring sites at risk for arrival or secondary spread of nonindigenous species. Such monitoring efforts require sufficient biosecurity budgets to be effective and meet management or policy directives for reduced risk of introduction. Such consideration of risk reduction is rarely considered, however. Here, we review the concepts of acceptable level of risk (ALOR) and associated costs with respect to nonindigenous species and present a framework for aligning risk reduction priorities with available biosecurity resources. We conclude that available biosecurity resources may be insufficient to attain stated and desired risk reduction. This outcome highlights the need to consider policy and management directives when beginning a biosecurity program to determine the feasibility of risk reduction goals, given available resources.

Guidelines for contingency planning NASA (National Aeronautics and Space Administration) ADP security risk reduction decision studies

NASA Technical Reports Server (NTRS)

Tompkins, F. G.

1984-01-01

Guidance is presented to NASA Computer Security Officials for determining the acceptability or unacceptability of ADP security risks based on the technical, operational and economic feasibility of potential safeguards. The risk management process is reviewed as a specialized application of the systems approach to problem solving and information systems analysis and design. Reporting the results of the risk reduction analysis to management is considered. Report formats for the risk reduction study are provided.

Two-stage stochastic unit commitment model including non-generation resources with conditional value-at-risk constraints

DOE Office of Scientific and Technical Information (OSTI.GOV)

Huang, Yuping; Zheng, Qipeng P.; Wang, Jianhui

2014-11-01

tThis paper presents a two-stage stochastic unit commitment (UC) model, which integrates non-generation resources such as demand response (DR) and energy storage (ES) while including riskconstraints to balance between cost and system reliability due to the fluctuation of variable genera-tion such as wind and solar power. This paper uses conditional value-at-risk (CVaR) measures to modelrisks associated with the decisions in a stochastic environment. In contrast to chance-constrained modelsrequiring extra binary variables, risk constraints based on CVaR only involve linear constraints and con-tinuous variables, making it more computationally attractive. The proposed models with risk constraintsare able to avoid over-conservative solutions butmore » still ensure system reliability represented by loss ofloads. Then numerical experiments are conducted to study the effects of non-generation resources ongenerator schedules and the difference of total expected generation costs with risk consideration. Sen-sitivity analysis based on reliability parameters is also performed to test the decision preferences ofconfidence levels and load-shedding loss allowances on generation cost reduction.« less

What to say and how to say it: effective communication for cardiovascular disease prevention.

PubMed

Navar, Ann Marie; Stone, Neil J; Martin, Seth S

2016-09-01

Current guidelines for cholesterol treatment emphasize the importance of engaging patients in a risk-benefit discussion prior to initiating statin therapy. Although current risk prediction algorithms are well defined, there is less data on how to communicate with patients about cardiovascular disease risk, benefits of treatment, and possible adverse effects. We propose a four-part model for effective shared decision-making: 1) Assessing patient priorities, perceived risk, and prior experience with cardiovascular risk reduction; 2) Arriving at a recommendation for therapy based on the patient's risk of disease, guideline recommendations, new clinical trial data, and patient preferences; 3) Communicating this recommendation along with risks, benefits, and alternatives to therapy following best practices for discussing numeric risk; and 4) Arriving at a shared decision with the patient with ongoing reassessment as risk factors and patient priorities change.

Investigating maternal risk factors as potential targets of intervention to reduce socioeconomic inequality in small for gestational age: a population-based study.

PubMed

Hayward, Irene; Malcoe, Lorraine Halinka; Cleathero, Lesley A; Janssen, Patricia A; Lanphear, Bruce P; Hayes, Michael V; Mattman, Andre; Pampalon, Robert; Venners, Scott A

2012-06-13

The major aim of this study was to investigate whether maternal risk factors associated with socioeconomic status and small for gestational age (SGA) might be viable targets of interventions to reduce differential risk of SGA by socioeconomic status (socioeconomic SGA inequality) in the metropolitan area of Vancouver, Canada. This study included 59,039 live, singleton births in the Vancouver Census Metropolitan Area (Vancouver) from January 1, 2006 to September 17, 2009. To identify an indicator of socioeconomic SGA inequality, we used hierarchical logistic regression to model SGA by area-level variables from the Canadian census. We then modelled SGA by area-level average income plus established maternal risk factors for SGA and calculated population attributable SGA risk percentages (PAR%) for each variable. Associations of maternal risk factors for SGA with average income were investigated to identify those that might contribute to SGA inequality. Finally, we estimated crude reductions in the percentage and absolute differences in SGA risks between highest and lowest average income quintiles that would result if interventions on maternal risk factors successfully equalized them across income levels or eliminated them altogether. Average income produced the most linear and statistically significant indicator of socioeconomic SGA inequality with 8.9% prevalence of SGA in the lowest income quintile compared to 5.6% in the highest. The adjusted PAR% of SGA for variables were: bottom four quintiles of height (51%), first birth (32%), bottom four quintiles of average income (14%), oligohydramnios (7%), underweight or hypertension, (6% each), smoking (3%) and placental disorder (1%). Shorter height, underweight and smoking during pregnancy had higher prevalence in lower income groups. Crude models assuming equalization of risk factors across income levels or elimination altogether indicated little potential change in relative socioeconomic SGA inequality and reduction in absolute SGA inequality for shorter height only. Our findings regarding maternal height may indicate trans-generational aetiology for socioeconomic SGA inequalities and/or that adult height influences social mobility. Conditions affecting foetal and childhood growth might be viable targets to reduce absolute socioeconomic SGA inequality in future generations, but more research is needed to determine whether such an approach is appropriate.

Policy implications of uncertainty in modeled life-cycle greenhouse gas emissions of biofuels.

PubMed

Mullins, Kimberley A; Griffin, W Michael; Matthews, H Scott

2011-01-01

Biofuels have received legislative support recently in California's Low-Carbon Fuel Standard and the Federal Energy Independence and Security Act. Both present new fuel types, but neither provides methodological guidelines for dealing with the inherent uncertainty in evaluating their potential life-cycle greenhouse gas emissions. Emissions reductions are based on point estimates only. This work demonstrates the use of Monte Carlo simulation to estimate life-cycle emissions distributions from ethanol and butanol from corn or switchgrass. Life-cycle emissions distributions for each feedstock and fuel pairing modeled span an order of magnitude or more. Using a streamlined life-cycle assessment, corn ethanol emissions range from 50 to 250 g CO(2)e/MJ, for example, and each feedstock-fuel pathway studied shows some probability of greater emissions than a distribution for gasoline. Potential GHG emissions reductions from displacing fossil fuels with biofuels are difficult to forecast given this high degree of uncertainty in life-cycle emissions. This uncertainty is driven by the importance and uncertainty of indirect land use change emissions. Incorporating uncertainty in the decision making process can illuminate the risks of policy failure (e.g., increased emissions), and a calculated risk of failure due to uncertainty can be used to inform more appropriate reduction targets in future biofuel policies.

The Effect of Sleep Problems on Suicidal Risk among Young Adults in the Presence of Depressive Symptoms and Cognitive Processes.

PubMed

Weis, Dafna; Rothenberg, Lee; Moshe, Lital; Brent, David A; Hamdan, Sami

2015-01-01

We aimed to investigate the effect of sleep problems, depression, and cognitive processes on suicidal risk among 460 young adults. They completed self-report questionnaires assessing suicidal behavior, sleep quality, depressive symptoms, emotion regulation, rumination, and impulsivity. Suicidal participants exhibited higher rates of depressive symptoms, sleep problems, expressive suppression, rumination, and impulsivity. A confirmatory factor analysis model revealed pathways to suicidal risk that showed no direct pathways between sleep problems and suicidal risk. Instead, sleep was related to suicidal risk via depression and rumination, which in turn increased suicidal risk. These results suggest that addressing sleep problems will be useful in either the treatment or prevention of depressive and rumination symptoms and reduction in suicidal risk.

Predictive models to assess risk of type 2 diabetes, hypertension and comorbidity: machine-learning algorithms and validation using national health data from Kuwait--a cohort study.

PubMed

Farran, Bassam; Channanath, Arshad Mohamed; Behbehani, Kazem; Thanaraj, Thangavel Alphonse

2013-05-14

We build classification models and risk assessment tools for diabetes, hypertension and comorbidity using machine-learning algorithms on data from Kuwait. We model the increased proneness in diabetic patients to develop hypertension and vice versa. We ascertain the importance of ethnicity (and natives vs expatriate migrants) and of using regional data in risk assessment. Retrospective cohort study. Four machine-learning techniques were used: logistic regression, k-nearest neighbours (k-NN), multifactor dimensionality reduction and support vector machines. The study uses fivefold cross validation to obtain generalisation accuracies and errors. Kuwait Health Network (KHN) that integrates data from primary health centres and hospitals in Kuwait. 270 172 hospital visitors (of which, 89 858 are diabetic, 58 745 hypertensive and 30 522 comorbid) comprising Kuwaiti natives, Asian and Arab expatriates. Incident type 2 diabetes, hypertension and comorbidity. Classification accuracies of >85% (for diabetes) and >90% (for hypertension) are achieved using only simple non-laboratory-based parameters. Risk assessment tools based on k-NN classification models are able to assign 'high' risk to 75% of diabetic patients and to 94% of hypertensive patients. Only 5% of diabetic patients are seen assigned 'low' risk. Asian-specific models and assessments perform even better. Pathological conditions of diabetes in the general population or in hypertensive population and those of hypertension are modelled. Two-stage aggregate classification models and risk assessment tools, built combining both the component models on diabetes (or on hypertension), perform better than individual models. Data on diabetes, hypertension and comorbidity from the cosmopolitan State of Kuwait are available for the first time. This enabled us to apply four different case-control models to assess risks. These tools aid in the preliminary non-intrusive assessment of the population. Ethnicity is seen significant to the predictive models. Risk assessments need to be developed using regional data as we demonstrate the applicability of the American Diabetes Association online calculator on data from Kuwait.

Efficacy of a Savings-Led Microfinance Intervention to Reduce Sexual Risk for HIV Among Women Engaged in Sex Work: A Randomized Clinical Trial

PubMed Central

Aira, Toivgoo; Tsai, Laura Cordisco; Riedel, Marion; Offringa, Reid; Chang, Mingway; El-Bassel, Nabila; Ssewamala, Fred

2015-01-01

Objectives. We tested whether a structural intervention combining savings-led microfinance and HIV prevention components would achieve enhanced reductions in sexual risk among women engaging in street-based sex work in Ulaanbaatar, Mongolia, compared with an HIV prevention intervention alone. Methods. Between November 2011 and August 2012, we randomized 107 eligible women who completed baseline assessments to either a 4-session HIV sexual risk reduction intervention (HIVSRR) alone (n = 50) or a 34-session HIVSRR plus a savings-led microfinance intervention (n = 57). At 3- and 6-month follow-up assessments, participants reported unprotected acts of vaginal intercourse with paying partners and number of paying partners with whom they engaged in sexual intercourse in the previous 90 days. Using Poisson and zero-inflated Poisson model regressions, we examined the effects of assignment to treatment versus control condition on outcomes. Results. At 6-month follow-up, the HIVSRR plus microfinance participants reported significantly fewer paying sexual partners and were more likely to report zero unprotected vaginal sex acts with paying sexual partners. Conclusions. Findings advance the HIV prevention repertoire for women, demonstrating that risk reduction may be achieved through a structural intervention that relies on asset building, including savings, and alternatives to income from sex work. PMID:25602889

Integrated Specialized Early-Course Psychosis Treatment Services - University Psychiatric Hospital Vrapce Model.

PubMed

Ostojić, DraŽenka; Čulo, Ilaria; Silić, Ante; Kos, Suzana; Savić, Aleksandar

2018-06-01

First episode of psychosis presents a critical period in terms of numerous associated risks, but also possibilities for effective therapeutic interventions. There is a continued focus on early interventions in prodromal states and early course of frank psychosis, aimed at ensuring faster remission, reducing relapses, achieving better long-term functioning, and preventing adverse outcomes linked to untreated psychosis and chronic psychotic disorders. A number of different specialized treatment models and services exist trying to close knowledge gaps and provide clinical interventions to first-episode psychosis (FEP) patients, but there is still no generally accepted standard of care informing our every-day practice. FEP and early-course psychosis specialized treatment model developed in 2004 in University Psychiatric Hospital Vrapce rests on integration of care across different organization units and clinical presentation acuity levels and patient needs (intensive care, FEP inpatient unit, FEP outpatient services including day hospital). Such integration of FEP services allows for flexible entry point on multiple levels, earlier structuring of therapeutic alliance for those requiring inpatient care, reduction of risks associated with FEP, quicker formation of long-term treatment plans, reduction of delay in accessing specialized services, and a more coordinated diagnostic process and recruitment of FEP patient population. Detailed evaluations of outcomes and comparisons with different treatment models are necessary in order to assess strengths and weaknesses of each specific model and inform modifications to current practice models.

Estimate of the shielding effect on secondary cancer risk due to cone-beam CT in image-guided radiotherapy

NASA Astrophysics Data System (ADS)

Sung, Jiwon; Baek, Tae Seong; Yoon, Myonggeun; Kim, Dong Wook; Kim, Dong Hyun

2014-09-01

This study evaluated the effect of a simple shielding method using a thin lead sheet on the imaging dose caused by cone-beam computed tomography (CBCT) in image-guided radiation therapy (IGRT). Reduction of secondary doses from CBCT was measured using a radio-photoluminescence glass dosimeter (RPLGD) placed inside an anthropomorphic phantom. The entire body, except for the region scanned by using CBCT, was shielded by wrapping it with a 2-mm lead sheet. Changes in secondary cancer risk due to shielding were calculated using BEIR VII models. Doses to out-of-field organs for head-and-neck, chest, and pelvis scans were decreased 15 ~ 100%, 23 ~ 90%, and 23 ~ 98%, respectively, and the average reductions in lifetime secondary cancer risk due to the 2-mm lead shielding were 1.6, 11.5, and 12.7 persons per 100,000, respectively. These findings suggest that a simple, thin-lead-sheet-based shielding method can effectively decrease secondary doses to out-of-field regions for CBCT, which reduces the lifetime cancer risk on average by 9 per 100,000 patients.

Examining the Impact of Suicide Attempt Function and Perceived Effectiveness in Predicting Reattempt for Emergency Medicine Patients.

PubMed

O'Connor, Stephen S; Comtois, Katherine Anne; Atkins, David C; Kerbrat, Amanda H

2017-01-01

While previous studies have examined motivational aspects of self-directed violence, few studies have included specific motivations in predictive models for future suicide attempts. The current study utilized a sample of 160 individuals treated in an acute emergency setting following a suicide attempt who completed an interview battery that included an assessment of functional aspects of the index suicide attempt. A follow-up interview was conducted at 6 months to ascertain subsequent suicide attempts. The functional domains of suicide attempts were labeled as reduction-of-distress, communication, perceived better alternative to living, and self-loathing. Above and beyond other known risk factors, including history and highest lethality of previous self-injury, suicide attempts that served a communication function (OR = 0.18, p = .02, CI = 0.04, 0.73) and higher ratings of clinical dysfunction (OR = 3.41, p = .05, CI = 1.02, 11.36) were associated with a significant reduction in likelihood to engage in a suicide attempt during the 6-month follow-up window. Including the perceived effectiveness of the index suicide attempt in getting one's needs met strengthened the overall model predicting a suicide attempt in the follow-up window and was an independent risk factor above and beyond other variables in the model OR = 1.75, p = .04, CI = 1.02, 3.01). Assessment of functional aspects of suicide attempt is feasible and may improve formulation of risk in a population where typical risk factors for suicide are ubiquitous. Copyright © 2016. Published by Elsevier Ltd.

A GIS-based model to estimate flood consequences and the degree of accessibility and operability of strategic emergency response structures in urban areas

NASA Astrophysics Data System (ADS)

Albano, R.; Sole, A.; Adamowski, J.; Mancusi, L.

2014-11-01

Efficient decision-making regarding flood risk reduction has become a priority for authorities and stakeholders in many European countries. Risk analysis methods and techniques are a useful tool for evaluating costs and benefits of possible interventions. Within this context, a methodology to estimate flood consequences was developed in this paper that is based on GIS, and integrated with a model that estimates the degree of accessibility and operability of strategic emergency response structures in an urban area. The majority of the currently available approaches do not properly analyse road network connections and dependencies within systems, and as such a loss of roads could cause significant damages and problems to emergency services in cases of flooding. The proposed model is unique in that it provides a maximum-impact estimation of flood consequences on the basis of the operability of the strategic emergency structures in an urban area, their accessibility, and connection within the urban system of a city (i.e. connection between aid centres and buildings at risk), in the emergency phase. The results of a case study in the Puglia region in southern Italy are described to illustrate the practical applications of this newly proposed approach. The main advantage of the proposed approach is that it allows for defining a hierarchy between different infrastructure in the urban area through the identification of particular components whose operation and efficiency are critical for emergency management. This information can be used by decision-makers to prioritize risk reduction interventions in flood emergencies in urban areas, given limited financial resources.

Productivity Savings from Colorectal Cancer Prevention and Control Strategies

PubMed Central

Bradley, Cathy J.; Lansdorp-Vogelaar, Iris; Yabroff, K. Robin; Dahman, Bassam; Mariotto, Angela; Feuer, Eric J.; Brown, Martin L.

2011-01-01

Background Lost productivity represents a considerable portion of the total economic burden of colorectal cancer (CRC), but cost-effectiveness studies of CRC prevention and control have not included these costs and therefore underestimate potential savings from CRC prevention and control. Purpose To use microsimulation modeling study to estimate and project productivity costs of CRC and to model the savings from four approaches to reducing CRC incidence and mortality: risk factor reduction, improved screening, improved treatment, and a simultaneous approach where all three strategies are implemented. Methods A model was developed to project productivity losses from CRC using the U.S. population with CRC incidence and mortality projected through the year 2020. Outcome measures were CRC mortality, morbidity, and productivity savings. Results With 2005 levels in risk factors, screening, and treatment, 48,748 CRC deaths occurred in 2010, amounting to $21 billion of lost productivity. Using prevention and treatment strategies simultaneously, 3586 deaths could have been avoided in 2010, leading to a savings of $1.4 billion. Cumulatively, by 2020, simultaneous strategies that reduce risk factors and increase screening and treatment could result in 101,353 deaths avoided and $33.9 billion in savings in reduced productivity loss. Improved screening rates alone led to nearly $14.7 billion in savings between 2005 and 2020, followed by risk factor reduction ($12.4 billion) and improved treatment ($8.4 billion). Conclusions The savings in productivity loss from strategies to reduce CRC incidence and mortality are substantial, providing evidence that CRC prevention and control strategies are likely to be cost-saving. PMID:21767717

Productivity savings from colorectal cancer prevention and control strategies.

PubMed

Bradley, Cathy J; Lansdorp-Vogelaar, Iris; Yabroff, K Robin; Dahman, Bassam; Mariotto, Angela; Feuer, Eric J; Brown, Martin L

2011-08-01

Lost productivity represents a considerable portion of the total economic burden of colorectal cancer (CRC), but cost-effectiveness studies of CRC prevention and control have not included these costs and therefore underestimate potential savings from CRC prevention and control. To use microsimulation modeling study to estimate and project productivity costs of CRC and to model the savings from four approaches to reducing CRC incidence and mortality: risk factor reduction, improved screening, improved treatment, and a simultaneous approach where all three strategies are implemented. A model was developed to project productivity losses from CRC using the U.S. population with CRC incidence and mortality projected through the year 2020. Outcome measures were CRC mortality, morbidity, and productivity savings. With 2005 levels in risk factors, screening, and treatment, 48,748 CRC deaths occurred in 2010, amounting to $21 billion of lost productivity. Using prevention and treatment strategies simultaneously, 3586 deaths could have been avoided in 2010, leading to a savings of $1.4 billion. Cumulatively, by 2020, simultaneous strategies that reduce risk factors and increase screening and treatment could result in 101,353 deaths avoided and $33.9 billion in savings in reduced productivity loss. Improved screening rates alone led to nearly $14.7 billion in savings between 2005 and 2020, followed by risk factor reduction ($12.4 billion) and improved treatment ($8.4 billion). The savings in productivity loss from strategies to reduce CRC incidence and mortality are substantial, providing evidence that CRC prevention and control strategies are likely to be cost-saving. Copyright © 2011 American Journal of Preventive Medicine. All rights reserved.

A randomized controlled trial targeting alcohol use and sexual assault risk among college women at high risk for victimization.

PubMed

Gilmore, Amanda K; Lewis, Melissa A; George, William H

2015-11-01

Sexual assault risk reduction programs do not target alcohol use despite the widespread knowledge that alcohol use is a risk factor for being victimized. The current study assessed the effectiveness of a web-based combined sexual assault risk and alcohol use reduction program using a randomized control trial. A total of 207 college women between the ages of 18 and 20 who engaged in heavy episodic drinking were randomized to one of five conditions: full assessment only control condition, sexual assault risk reduction condition, alcohol use reduction condition, combined sexual assault risk and alcohol use reduction condition, and a minimal assessment only condition. Participants completed a 3-month follow-up survey on alcohol-related sexual assault outcomes, sexual assault outcomes, and alcohol use outcomes. Significant interactions revealed that women with higher severity of sexual assault at baseline experienced less incapacitated attempted or completed rapes, less severity of sexual assaults, and engaged in less heavy episodic drinking compared to the control condition at the 3-month follow-up. Web-based risk reduction programs targeting both sexual assault and alcohol use may be the most effective way to target the highest risk sample of college students for sexual assault: those with a sexual assault history and those who engage in heavy episodic drinking. Copyright © 2015 Elsevier Ltd. All rights reserved.

A Randomized Controlled Trial Targeting Alcohol Use and Sexual Assault Risk among College Women at High Risk for Victimization

PubMed Central

Gilmore, Amanda K.; Lewis, Melissa A.; George, William H.

2015-01-01

Current sexual assault risk reduction programs do not target alcohol use despite the widespread knowledge that alcohol use is a risk factor for being victimized. The current study assessed the effectiveness of a web-based combined sexual assault risk and alcohol use reduction program using a randomized control trial. A total of 207 college women between the ages of 18 and 20 who engaged in heavy episodic drinking were randomized to one of five conditions: full assessment only control condition, sexual assault risk reduction condition, alcohol use reduction condition, combined sexual assault risk and alcohol use reduction condition, and a minimal assessment only condition. Participants completed a 3-month follow-up survey on alcohol-related sexual assault outcomes, sexual assault outcomes, and alcohol use outcomes. Significant interactions revealed that women with higher incidence and severity of sexual assault at baseline experienced less incapacitated attempted or completed rapes, less incidence/severity of sexual assaults, and engaged in less heavy episodic drinking compared to the control condition at the 3-month follow-up. Web-based risk reduction programs targeting both sexual assault and alcohol use may be the most effective way to target the highest risk sample of college students for sexual assault: those with a sexual assault history and those who engage in heavy episodic drinking. PMID:26408290

Estimation of social value of statistical life using willingness-to-pay method in Nanjing, China.

PubMed

Yang, Zhao; Liu, Pan; Xu, Xin

2016-10-01

Rational decision making regarding the safety related investment programs greatly depends on the economic valuation of traffic crashes. The primary objective of this study was to estimate the social value of statistical life in the city of Nanjing in China. A stated preference survey was conducted to investigate travelers' willingness to pay for traffic risk reduction. Face-to-face interviews were conducted at stations, shopping centers, schools, and parks in different districts in the urban area of Nanjing. The respondents were categorized into two groups, including motorists and non-motorists. Both the binary logit model and mixed logit model were developed for the two groups of people. The results revealed that the mixed logit model is superior to the fixed coefficient binary logit model. The factors that significantly affect people's willingness to pay for risk reduction include income, education, gender, age, drive age (for motorists), occupation, whether the charged fees were used to improve private vehicle equipment (for motorists), reduction in fatality rate, and change in travel cost. The Monte Carlo simulation method was used to generate the distribution of value of statistical life (VSL). Based on the mixed logit model, the VSL had a mean value of 3,729,493 RMB ($586,610) with a standard deviation of 2,181,592 RMB ($343,142) for motorists; and a mean of 3,281,283 RMB ($505,318) with a standard deviation of 2,376,975 RMB ($366,054) for non-motorists. Using the tax system to illustrate the contribution of different income groups to social funds, the social value of statistical life was estimated. The average social value of statistical life was found to be 7,184,406 RMB ($1,130,032). Copyright © 2016 Elsevier Ltd. All rights reserved.

76 FR 44301 - Information Collection; Homeowner Risk Reduction Behaviors Concerning Wildfire Risks and Climate...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-07-25

... Behaviors Concerning Wildfire Risks and Climate Change Impacts AGENCY: Forest Service, USDA. ACTION: Notice... collection, Homeowner Risk Reduction Behaviors Concerning Wildfire Risks and Climate Change Impacts. The... undertake, and factors that influence these choices, particularly factors related to climate change impacts...

Experimental Study on Tsunami Risk Reduction on Coastal Building Fronted by Sea Wall

PubMed Central

Khan, M. T. R.; Shirazi, S. M.

2014-01-01

This experimental study was conducted to idealize the efficacy of sea wall in controlling the tsunami forces on onshore structures. Different types of sea walls were placed in front of the building model. The tsunami forces and the wave heights were measured with and without the sea wall conditions. Types of sea wall, wall height, and wall positions were varied simultaneously to quantify the force reductions. Maximum of 41% forces was reduced by higher sea wall, positioned closer proximity to the model whereas this reduction was about 27% when the wall height was half of the high wall. Experimental investigations revealed that wall with adequate height and placed closer to the structures enables a satisfactory predictor of the force reduction on onshore structures. Another set of tests were performed with perforated wall placing near the building model. Less construction cost makes the provision of perforated sea wall interesting. The overall results showed that the efficacy of perforated wall is almost similar to solid wall. Hence, it can be efficiently used instead of solid wall. Moreover, overtopped water that is stuck behind the wall is readily gone back to the sea through perforations releasing additional forces on the nearby structures. PMID:24790578

A Critique of Recent Epidemiologic Studies of Cancer Mortality Among Nuclear Workers.

PubMed

Scott, Bobby R

2018-01-01

Current justification by linear no-threshold (LNT) cancer risk model advocates for its use in low-dose radiation risk assessment is now mainly based on results from flawed and unreliable epidemiologic studies that manufacture small risk increases (ie, phantom risks). Four such studies of nuclear workers, essentially carried out by the same group of epidemiologists, are critiqued in this article. Three of the studies that forcibly applied the LNT model (inappropriate null hypothesis) to cancer mortality data and implicated increased mortality risk from any radiation exposure, no matter how small the dose, are demonstrated to manufacture risk increases for doses up to 100 mSv (or 100 mGy). In a study where risk reduction (hormetic effect/adaptive response) was implicated for nuclear workers, it was assumed by the researchers to relate to a "strong healthy worker effect" with no consideration of the possibility that low radiation doses may help prevent cancer mortality (which is consistent with findings from basic radiobiological research). It was found with basic research that while large radiation doses suppress our multiple natural defenses (barriers) against cancer, these barriers are enhanced by low radiation doses, thereby decreasing cancer risk, essentially rendering the LNT model to be inconsistent with the data.

Moderate quality evidence finds statistical benefit in oral health for powered over manual toothbrushes.

PubMed

Niederman, Richard

2014-09-01

The Cochrane Oral Health Group's Trials Register, the Cochrane Central Register of Controlled Trials (CENTRAL), Medline, Embase, CINAHL, National Institutes of Health Trials Register and the WHO Clinical Trials Registry Platform for ongoing trials. Reference lists of identified articles were also scanned for relevant papers. Identified manufacturers were contacted for additional information. Only randomised controlled trials comparing manual and powered toothbrushes were considered. Crossover trials were eligible for inclusion if the wash-out period length was more than two weeks. Study assessment and data extraction were carried out independently by at least two reviewers. The primary outcome measures were quantified levels of plaque or gingivitis. Risk of bias assessment was undertaken. Standard Cochrane methodological approaches were taken. Random-effects models were used provided there were four or more studies included in the meta-analysis, otherwise fixed-effect models were used. Data were classed as short term (one to three months) and long term (greater than three months). Fifty-six trials were included with 51 (4624 patients) providing data for meta-analysis. The majority (46) were at unclear risk of bias, five at high risk of bias and five at low risk. There was moderate quality evidence that powered toothbrushes provide a statistically significant benefit compared with manual toothbrushes with regard to the reduction of plaque in both the short and long-term. This corresponds to an 11% reduction in plaque for the Quigley Hein index (Turesky) in the short term and a 21% reduction in the long term. There was a high degree of heterogeneity that was not explained by the different powered toothbrush type subgroups.There was also moderate quality evidence that powered toothbrushes again provide a statistically significant reduction in gingivitis when compared with manual toothbrushes both in the short and long term. This corresponds to a 6% and 11% reduction in gingivitis for the Löe and Silness indices respectively. Again there was a high degree of heterogeneity that was not explained by the different powered toothbrush type subgroups. The greatest body of evidence was for rotation oscillation brushes which demonstrated a statistically significant reduction in plaque and gingivitis at both time points. Powered toothbrushes reduce plaque and gingivitis more than manual toothbrushing in the short and long term. The clinical importance of these findings remains unclear. Observation of methodological guidelines and greater standardisation of design would benefit both future trials and meta-analyses. Cost, reliability and side effects were inconsistently reported. Any reported side effects were localised and only temporary.

Potential uncertainty reduction in model-averaged benchmark dose estimates informed by an additional dose study.

PubMed

Shao, Kan; Small, Mitchell J

2011-10-01

A methodology is presented for assessing the information value of an additional dosage experiment in existing bioassay studies. The analysis demonstrates the potential reduction in the uncertainty of toxicity metrics derived from expanded studies, providing insights for future studies. Bayesian methods are used to fit alternative dose-response models using Markov chain Monte Carlo (MCMC) simulation for parameter estimation and Bayesian model averaging (BMA) is used to compare and combine the alternative models. BMA predictions for benchmark dose (BMD) are developed, with uncertainty in these predictions used to derive the lower bound BMDL. The MCMC and BMA results provide a basis for a subsequent Monte Carlo analysis that backcasts the dosage where an additional test group would have been most beneficial in reducing the uncertainty in the BMD prediction, along with the magnitude of the expected uncertainty reduction. Uncertainty reductions are measured in terms of reduced interval widths of predicted BMD values and increases in BMDL values that occur as a result of this reduced uncertainty. The methodology is illustrated using two existing data sets for TCDD carcinogenicity, fitted with two alternative dose-response models (logistic and quantal-linear). The example shows that an additional dose at a relatively high value would have been most effective for reducing the uncertainty in BMA BMD estimates, with predicted reductions in the widths of uncertainty intervals of approximately 30%, and expected increases in BMDL values of 5-10%. The results demonstrate that dose selection for studies that subsequently inform dose-response models can benefit from consideration of how these models will be fit, combined, and interpreted. © 2011 Society for Risk Analysis.

An RES-Based Model for Risk Assessment and Prediction of Backbreak in Bench Blasting

NASA Astrophysics Data System (ADS)

Faramarzi, F.; Ebrahimi Farsangi, M. A.; Mansouri, H.

2013-07-01

Most blasting operations are associated with various forms of energy loss, emerging as environmental side effects of rock blasting, such as flyrock, vibration, airblast, and backbreak. Backbreak is an adverse phenomenon in rock blasting operations, which imposes risk and increases operation expenses because of safety reduction due to the instability of walls, poor fragmentation, and uneven burden in subsequent blasts. In this paper, based on the basic concepts of a rock engineering systems (RES) approach, a new model for the prediction of backbreak and the risk associated with a blast is presented. The newly suggested model involves 16 effective parameters on backbreak due to blasting, while retaining simplicity as well. The data for 30 blasts, carried out at Sungun copper mine, western Iran, were used to predict backbreak and the level of risk corresponding to each blast by the RES-based model. The results obtained were compared with the backbreak measured for each blast, which showed that the level of risk achieved is in consistence with the backbreak measured. The maximum level of risk [vulnerability index (VI) = 60] was associated with blast No. 2, for which the corresponding average backbreak was the highest achieved (9.25 m). Also, for blasts with levels of risk under 40, the minimum average backbreaks (<4 m) were observed. Furthermore, to evaluate the model performance for backbreak prediction, the coefficient of correlation ( R 2) and root mean square error (RMSE) of the model were calculated ( R 2 = 0.8; RMSE = 1.07), indicating the good performance of the model.

On solar geoengineering and climate uncertainty

DOE Office of Scientific and Technical Information (OSTI.GOV)

MacMartin, Douglas; Kravitz, Benjamin S.; Rasch, Philip J.

2015-09-03

Uncertainty in the climate system response has been raised as a concern regarding solar geoengineering. Here we show that model projections of regional climate change outcomes may have greater agreement under solar geoengineering than with CO2 alone. We explore the effects of geoengineering on one source of climate system uncertainty by evaluating the inter-model spread across 12 climate models participating in the Geoengineering Model Intercomparison project (GeoMIP). The model spread in regional temperature and precipitation changes is reduced with CO2 and a solar reduction, in comparison to the case with increased CO2 alone. That is, the intermodel spread in predictionsmore » of climate change and the model spread in the response to solar geoengineering are not additive but rather partially cancel. Furthermore, differences in efficacy explain most of the differences between models in their temperature response to an increase in CO2 that is offset by a solar reduction. These conclusions are important for clarifying geoengineering risks.« less

IMPACT OF URBANIZATION ON THE HYDROLOGY OF THE POCONO CREEK WATERSHED: A MODEL STUDY

EPA Science Inventory

The Pocono Creek watershed located in Monroe County, PA, is threatened by high population growth and urbanization. Of concern specifically is the potential impact of future developments in the watershed on the reduction of base flow and the consequent risk of degradation of wild ...

Role of Metabolomics in Environmental Chemical Exposure and Risk Assessment

EPA Science Inventory

The increasing demand for the reduction, replacement, and refinement of the use of animal models in exposure assessments has stimulated the pursuit of alternative methods. This has included not only the use of the in vitro systems (e.g., cell cultures) in lieu of in vivo whole an...

Relative impacts of mitigation, temperature, and precipitation on 21st-century megadrought risk in the American Southwest

PubMed Central

Ault, Toby R.; Mankin, Justin S.; Cook, Benjamin I.; Smerdon, Jason E.

2016-01-01

Megadroughts are comparable in severity to the worst droughts of the 20th century but are of much longer duration. A megadrought in the American Southwest would impose unprecedented stress on the limited water resources of the area, making it critical to evaluate future risks not only under different climate change mitigation scenarios but also for different aspects of regional hydroclimate. We find that changes in the mean hydroclimate state, rather than its variability, determine megadrought risk in the American Southwest. Estimates of megadrought probabilities based on precipitation alone tend to underestimate risk. Furthermore, business-as-usual emissions of greenhouse gases will drive regional warming and drying, regardless of large precipitation uncertainties. We find that regional temperature increases alone push megadrought risk above 70, 90, or 99% by the end of the century, even if precipitation increases moderately, does not change, or decreases, respectively. Although each possibility is supported by some climate model simulations, the latter is the most common outcome for the American Southwest in Coupled Model Intercomparison 5 generation models. An aggressive reduction in global greenhouse gas emissions cuts megadrought risks nearly in half. PMID:27713927

Relative Impacts of Mitigation, Temperature, and Precipitation on 21st-Century Megadrought Risk in the American Southwest

NASA Technical Reports Server (NTRS)

Ault, Toby R.; Mankin, Justin S.; Cook, Benjamin I.; Smerdon, Jason E.

2015-01-01

Megadroughts are comparable in severity to the worst droughts of the 20th century but are of much longer duration. A megadrought in the American Southwest would impose unprecedented stress on the limited water resources of the area, making it critical to evaluate future risks not only under different climate change mitigation scenarios but also for different aspects of regional hydroclimate. We find that changes in the mean hydroclimate state, rather than its variability, determine megadrought risk in the American Southwest. Estimates of megadrought probabilities based on precipitation alone tend to underestimate risk. Furthermore, business-as-usual emissions of greenhouse gases will drive regional warming and drying, regardless of large precipitation uncertainties. We find that regional temperature increases alone push megadrought risk above 70, 90, or 99% by the end of the century, even if precipitation increases moderately, does not change, or decreases, respectively. Although each possibility is supported by some climate model simulations, the latter is the most common outcome for the American Southwest in Coupled Model Intercomparison 5 generation models. An aggressive reduction in global greenhouse gas emissions cuts megadrought risks nearly in half.

Development of a Spatial Decision Support System for Analyzing Changes in Hydro-meteorological Risk

NASA Astrophysics Data System (ADS)

van Westen, Cees

2013-04-01

In the framework of the EU FP7 Marie Curie ITN Network "CHANGES: Changing Hydro-meteorological Risks, as Analyzed by a New Generation of European Scientists (http://www.changes-itn.eu)", a spatial decision support system is under development with the aim to analyze the effect of risk reduction planning alternatives on reducing the risk now and in the future, and support decision makers in selecting the best alternatives. The SDSS is one of the main outputs of the CHANGES network, which will develop an advanced understanding of how global changes, related to environmental and climate change as well as socio-economical change, may affect the temporal and spatial patterns of hydro-meteorological hazards and associated risks in Europe; how these changes can be assessed, modeled, and incorporated in sustainable risk management strategies, focusing on spatial planning, emergency preparedness and risk communication. The CHANGES network consists of 11 full partners and 6 associate partners of which 5 private companies, representing 10 European countries. The CHANGES network has hired 12 Early Stage Researchers (ESRs) and is currently hiring 3-6 researchers more for the implementation of the SDSS. The Spatial Decision Support System will be composed of a number of integrated components. The Risk Assessment component allows to carry out spatial risk analysis, with different degrees of complexity, ranging from simple exposure (overlay of hazard and assets maps) to quantitative analysis (using different hazard types, temporal scenarios and vulnerability curves) resulting into risk curves. The platform does not include a component to calculate hazard maps, and existing hazard maps are used as input data for the risk component. The second component of the SDSS is a risk reduction planning component, which forms the core of the platform. This component includes the definition of risk reduction alternatives (related to disaster response planning, risk reduction measures and spatial planning) and links back to the risk assessment module to calculate the new level of risk if the measure is implemented, and a cost-benefit (or cost-effectiveness/ Spatial Multi Criteria Evaluation) component to compare the alternatives and make decision on the optimal one. The third component of the SDSS is a temporal scenario component, which allows to define future scenarios in terms of climate change, land use change and population change, and the time periods for which these scenarios will be made. The component doesn't generate these scenarios but uses input maps for the effect of the scenarios on the hazard and assets maps. The last component is a communication and visualization component, which can compare scenarios and alternatives, not only in the form of maps, but also in other forms (risk curves, tables, graphs). The envisaged users of the platform are organizations involved in planning of risk reduction measures, and that have staff capable of visualizing and analyzing spatial data at a municipal scale. This paper presents the main components of the SDSS and the overall design and plans for the user interface.

Conscious worst case definition for risk assessment, part I: a knowledge mapping approach for defining most critical risk factors in integrative risk management of chemicals and nanomaterials.

PubMed

Sørensen, Peter B; Thomsen, Marianne; Assmuth, Timo; Grieger, Khara D; Baun, Anders

2010-08-15

This paper helps bridge the gap between scientists and other stakeholders in the areas of human and environmental risk management of chemicals and engineered nanomaterials. This connection is needed due to the evolution of stakeholder awareness and scientific progress related to human and environmental health which involves complex methodological demands on risk management. At the same time, the available scientific knowledge is also becoming more scattered across multiple scientific disciplines. Hence, the understanding of potentially risky situations is increasingly multifaceted, which again challenges risk assessors in terms of giving the 'right' relative priority to the multitude of contributing risk factors. A critical issue is therefore to develop procedures that can identify and evaluate worst case risk conditions which may be input to risk level predictions. Therefore, this paper suggests a conceptual modelling procedure that is able to define appropriate worst case conditions in complex risk management. The result of the analysis is an assembly of system models, denoted the Worst Case Definition (WCD) model, to set up and evaluate the conditions of multi-dimensional risk identification and risk quantification. The model can help optimize risk assessment planning by initial screening level analyses and guiding quantitative assessment in relation to knowledge needs for better decision support concerning environmental and human health protection or risk reduction. The WCD model facilitates the evaluation of fundamental uncertainty using knowledge mapping principles and techniques in a way that can improve a complete uncertainty analysis. Ultimately, the WCD is applicable for describing risk contributing factors in relation to many different types of risk management problems since it transparently and effectively handles assumptions and definitions and allows the integration of different forms of knowledge, thereby supporting the inclusion of multifaceted risk components in cumulative risk management. Copyright 2009 Elsevier B.V. All rights reserved.

Research and Development Project Summaries, October 1991

DTIC Science & Technology

1991-10-01

delivery methods, training cost reduction, demonstration of technology’ effectiveness, and the reduction of acquisition risk . The majority of the work...demonstrations, risk reduction developments, and cost-effectiveness investigations in simulator and training technologzv. This advanced development program is a...systems. The program is organized around specific demonstration tasks that target critical technical risks that confront future weapons system

Application of Nonlinear Seismic Soil-Structure Interaction Analysis for Identification of Seismic Margins at Nuclear Power Plants

DOE Office of Scientific and Technical Information (OSTI.GOV)

Varma, Amit H.; Seo, Jungil; Coleman, Justin Leigh

2015-11-01

Seismic probabilistic risk assessment (SPRA) methods and approaches at nuclear power plants (NPP) were first developed in the 1970s and aspects of them have matured over time as they were applied and incrementally improved. SPRA provides information on risk and risk insights and allows for some accounting for uncertainty and variability. As a result, SPRA is now used as an important basis for risk-informed decision making for both new and operating NPPs in the US and in an increasing number of countries globally. SPRAs are intended to provide best estimates of the various combinations of structural and equipment failures thatmore » can lead to a seismic induced core damage event. However, in some instances the current SPRA approach contains large uncertainties, and potentially masks other important events (for instance, it was not the seismic motions that caused the Fukushima core melt events, but the tsunami ingress into the facility). INL has an advanced SPRA research and development (R&D) activity that will identify areas in the calculation process that contain significant uncertainties. One current area of focus is the use of nonlinear soil-structure interaction (NLSSI) analysis methods to accurately capture: 1) nonlinear soil behavior and 2) gapping and sliding between the NPP and soil. The goal of this study is to compare numerical NLSSI analysis results with recorded earthquake ground motions at Fukushima Daichii (Great Tohuku Earthquake) and evaluate the sources of nonlinearity contributing to the observed reduction in peak acceleration. Comparisons are made using recorded data in the free-field (soil column with no structural influence) and recorded data on the NPP basemat (in-structure response). Results presented in this study should identify areas of focus for future R&D activities with the goal of minimizing uncertainty in SPRA calculations. This is not a validation activity since there are too many sources of uncertainty that a numerical analysis would need to consider (variability in soil material properties, structural material properties, etc.). Rather the report will determine if the NLSSI calculations are following similar trends observed in the recorded data (i.e. reductions in maximum acceleration between the free-field and basemat) Numerical NLSSI results presented show maximum accelerations between the free field and basemat were reduced the EW and NS directions. The maximum acceleration in the UD direction increased slightly. The largest reduction in maximum accelerations between the modeled free-field and the NPP basemat resulted in nearly 50% reduction. The observation in reduction of numerical maximum accelerations in the EW and NS directions follows the observed trend in the recorded data. The maximum reductions observed in these NLSSI studies were due to soil nonlinearities, not gapping and sliding (although additional R&D is needed to develop an appropriate approach to model gapping and sliding). This exploratory study highlights the need for additional R&D on developing: (i) improved modeling of soil nonlinearities (soil constitutive models that appropriately capture cyclic soil behavior), (ii) improved modeling of gapping and sliding at the soil-structure interface (to appropriately capture the dissipation of energy at this interface), and (iii) experimental laboratory test data to calibrate the items (i) and (ii).« less

Modeling the Impact of Nutrition Interventions on Birth Outcomes in the Lives Saved Tool (LiST).

PubMed

Heidkamp, Rebecca; Clermont, Adrienne; Phillips, Erica

2017-11-01

Background: Negative birth outcomes [small-for-gestational age (SGA) and preterm birth (PTB)] are common in low- and middle-income countries and have important subsequent health and developmental impacts on children. There are numerous nutritional and non-nutritional interventions that can decrease the risk of negative birth outcomes and reduce subsequent risk of mortality and growth faltering. Objective: The objective of this article was to review the current evidence for the impact of nutritional interventions in pregnancy [calcium supplementation, iron and folic acid supplementation, multiple micronutrient (MMN) supplementation, and balanced energy supplementation (BES)] and risk factors (maternal anemia) on birth outcomes, with the specific goal of determining which intervention-outcome linkages should be included in the Lives Saved Tool (LiST) software. Methods: A literature search was conducted by using the WHO e-Library of Evidence for Nutrition Actions as the starting point. Recent studies, meta-analyses, and systematic reviews were reviewed for inclusion on the basis of their relevance to LiST. Results: On the basis of the available scientific evidence, the following linkages were found to be supported for inclusion in LiST: calcium supplementation on PTB (12% reduction), MMN supplementation on SGA (9% reduction), and BES on SGA (21% reduction among food-insecure women). Conclusions: The inclusion of these linkages in LiST will improve the utility of the model for users who seek to estimate the impact of antenatal nutrition interventions on birth outcomes. Scaling up these interventions should lead to downstream impacts in reducing stunting and child mortality. © 2017 American Society for Nutrition.

Quantification of pathogen inactivation efficacy by free chlorine disinfection of drinking water for QMRA.

PubMed

Petterson, S R; Stenström, T A

2015-09-01

To support the implementation of quantitative microbial risk assessment (QMRA) for managing infectious risks associated with drinking water systems, a simple modeling approach for quantifying Log10 reduction across a free chlorine disinfection contactor was developed. The study was undertaken in three stages: firstly, review of the laboratory studies published in the literature; secondly, development of a conceptual approach to apply the laboratory studies to full-scale conditions; and finally implementation of the calculations for a hypothetical case study system. The developed model explicitly accounted for variability in residence time and pathogen specific chlorine sensitivity. Survival functions were constructed for a range of pathogens relying on the upper bound of the reported data transformed to a common metric. The application of the model within a hypothetical case study demonstrated the importance of accounting for variable residence time in QMRA. While the overall Log10 reduction may appear high, small parcels of water with short residence time can compromise the overall performance of the barrier. While theoretically simple, the approach presented is of great value for undertaking an initial assessment of a full-scale disinfection contactor based on limited site-specific information.

Verification of Ares I Liftoff Acoustic Environments via the Ares I Scale Model Acoustic Test

NASA Technical Reports Server (NTRS)

Counter, Douglas D.; Houston, Janice D.

2012-01-01

Launch environments, such as Liftoff Acoustic (LOA) and Ignition Overpressure (IOP), are important design factors for any vehicle and are dependent upon the design of both the vehicle and the ground systems. The NASA Constellation Program had several risks to the development of the Ares I vehicle linked to LOA which are used in the development of the vibro-acoustic environments. The risks included cost, schedule and technical impacts for component qualification due to high predicted vibro-acoustic environments. One solution is to mitigate the environment at the component level. However, where the environment is too severe to mitigate at the component level, reduction of the launch environments is required. The Ares I Scale Model Acoustic Test (ASMAT) program was implemented to verify the predicted Ares I launch environments and to determine the acoustic reduction for the LOA environment with an above deck water sound suppression system. The test article included a 5% scale Ares I vehicle model, tower and Mobile Launcher. Acoustic and pressure data were measured by approximately 200 instruments. The ASMAT results are compared to the Ares I LOA predictions and water suppression effectiveness results are presented.

Verification of Ares I Liftoff Acoustic Environments via the Ares Scale Model Acoustic Test

NASA Technical Reports Server (NTRS)

Counter, Douglas D.; Houston, Janice D.

2012-01-01

Launch environments, such as Liftoff Acoustic (LOA) and Ignition Overpressure (IOP), are important design factors for any vehicle and are dependent upon the design of both the vehicle and the ground systems. The NASA Constellation Program had several risks to the development of the Ares I vehicle linked to LOA which are used in the development of the vibro-acoustic environments. The risks included cost, schedule and technical impacts for component qualification due to high predicted vibro-acoustic environments. One solution is to mitigate the environment at the component level. However, where the environment is too severe to mitigate at the component level, reduction of the launch environments is required. The Ares I Scale Model Acoustic Test (ASMAT) program was implemented to verify the predicted Ares I launch environments and to determine the acoustic reduction for the LOA environment with an above deck water sound suppression system. The test article included a 5% scale Ares I vehicle model, tower and Mobile Launcher. Acoustic and pressure data were measured by approximately 200 instruments. The ASMAT results are compared to the Ares I LOA predictions and water suppression effectiveness results are presented.

Communication about melanoma and risk reduction after melanoma diagnosis.

PubMed

Rodríguez, Vivian M; Berwick, Marianne; Hay, Jennifer L

2017-12-01

Melanoma patients are advised to perform regular risk-reduction practices, including sun protection as well as skin self-examinations (SSEs) and physician-led examinations. Melanoma-specific communication regarding family risk and screening may promote such behaviors. To this end, associations between patients' melanoma-specific communication and risk reduction were examined. Melanoma patients (N = 169) drawn from a population-based cancer registry reported their current risk-reduction practices, perceived risk of future melanoma, and communication with physicians and relatives about melanoma risk and screening. Patients were, on average, 56 years old and 6.7 years' post diagnosis; 51% were male, 93% reported "fair/very fair" skin color, 75% completed at least some college, and 22% reported a family history of melanoma. Patients reported varying levels of regular (always/nearly always) sun protection: sunscreen use (79%), shade seeking (60%), hat use (54%), and long-sleeve shirt use (30%). Only 28% performed thorough SSE regularly, whereas 92% reported undergoing physician-led skin examinations within the past year. Participants who were female, younger, and had a higher perceived risk of future melanoma were more likely to report past communication. In adjusted analyses, communication remained uniquely associated with increased sunscreen use and SSE. Encouraging melanoma patients to have a more active role in discussions concerning melanoma risk and screening with relatives and physicians alike may be a useful strategy to promote 2 key risk-reduction practices post melanoma diagnosis and treatment. Future research is needed to identify additional strategies to improve comprehensive risk reduction in long-term melanoma patients. Copyright © 2016 John Wiley & Sons, Ltd.

Cost effectiveness of withdrawal of fall-risk-increasing drugs in geriatric outpatients.

PubMed

van der Velde, Nathalie; Meerding, Willen Jan; Looman, Caspar W; Pols, Huibert A P; van der Cammen, Tischa J M

2008-01-01

Withdrawal of fall-risk-increasing drugs has been proven to be effective in older persons. However, given the enormous rise in healthcare costs in recent decades, the effect of such withdrawals on healthcare costs also needs to be considered. Within a common geriatric outpatient population, patients with a history of falls were assessed for falls risk (n = 139). Fall-risk-increasing drugs were withdrawn when appropriate (n = 75). All participants had a 2-month follow-up for fall incidents. The number of prevented falls was calculated using a loglinear regression model. The savings on health expenditures as a result of prevented injuries (estimated from a literature review) and reduced consumption of pharmaceuticals were compared with the intervention costs. After adjustment for confounders, drug withdrawal resulted in a falls risk reduction of 0.89 (95% CI 0.33, 0.98) per patient compared with the non-withdrawal group. Net cost savings were euro1691 (95% CI 662, 2181) per patient in the cohort. This resulted in a cost saving of euro491 (95% CI 465, 497) per prevented fall. Withdrawal of fall-risk-increasing drugs generates significant cost savings. Extrapolation of these findings to a national scale results in an estimated reduction of euro60 million in healthcare expenditures, that is, 15% of fall-related health costs.

Influence of fuels, weather and the built environment on the exposure of property to wildfire

USGS Publications Warehouse

Penman, Trent D.; Collins, Luke S.; Syphard, Alexandra D.; Keeley, Jon E.; Bradstock, Ross A.

2014-01-01

Wildfires can pose a significant risk to people and property. Billions of dollars are spent investing in fire management actions in an attempt to reduce the risk of loss. One of the key areas where money is spent is through fuel treatment – either fuel reduction (prescribed fire) or fuel removal (fuel breaks). Individual treatments can influence fire size and the maximum distance travelled from the ignition and presumably risk, but few studies have examined the landscape level effectiveness of these treatments. Here we use a Bayesian Network model to examine the relative influence of the built and natural environment, weather, fuel and fuel treatments in determining the risk posed from wildfire to the wildland-urban interface. Fire size and distance travelled was influenced most strongly by weather, with exposure to fires most sensitive to changes in the built environment and fire parameters. Natural environment variables and fuel load all had minor influences on fire size, distance travelled and exposure of assets. These results suggest that management of fuels provided minimal reductions in risk to assets and adequate planning of the changes in the built environment to cope with the expansion of human populations is going to be vital for managing risk from fire under future climates.

Influence of Fuels, Weather and the Built Environment on the Exposure of Property to Wildfire

PubMed Central

Penman, Trent D.; Collins, Luke; Syphard, Alexandra D.; Keeley, Jon E.; Bradstock, Ross A.

2014-01-01

Wildfires can pose a significant risk to people and property. Billions of dollars are spent investing in fire management actions in an attempt to reduce the risk of loss. One of the key areas where money is spent is through fuel treatment – either fuel reduction (prescribed fire) or fuel removal (fuel breaks). Individual treatments can influence fire size and the maximum distance travelled from the ignition and presumably risk, but few studies have examined the landscape level effectiveness of these treatments. Here we use a Bayesian Network model to examine the relative influence of the built and natural environment, weather, fuel and fuel treatments in determining the risk posed from wildfire to the wildland-urban interface. Fire size and distance travelled was influenced most strongly by weather, with exposure to fires most sensitive to changes in the built environment and fire parameters. Natural environment variables and fuel load all had minor influences on fire size, distance travelled and exposure of assets. These results suggest that management of fuels provided minimal reductions in risk to assets and adequate planning of the changes in the built environment to cope with the expansion of human populations is going to be vital for managing risk from fire under future climates. PMID:25360741

Flightdeck Automation Problems (FLAP) Model for Safety Technology Portfolio Assessment

NASA Technical Reports Server (NTRS)

Ancel, Ersin; Shih, Ann T.

2014-01-01

NASA's Aviation Safety Program (AvSP) develops and advances methodologies and technologies to improve air transportation safety. The Safety Analysis and Integration Team (SAIT) conducts a safety technology portfolio assessment (PA) to analyze the program content, to examine the benefits and risks of products with respect to program goals, and to support programmatic decision making. The PA process includes systematic identification of current and future safety risks as well as tracking several quantitative and qualitative metrics to ensure the program goals are addressing prominent safety risks accurately and effectively. One of the metrics within the PA process involves using quantitative aviation safety models to gauge the impact of the safety products. This paper demonstrates the role of aviation safety modeling by providing model outputs and evaluating a sample of portfolio elements using the Flightdeck Automation Problems (FLAP) model. The model enables not only ranking of the quantitative relative risk reduction impact of all portfolio elements, but also highlighting the areas with high potential impact via sensitivity and gap analyses in support of the program office. Although the model outputs are preliminary and products are notional, the process shown in this paper is essential to a comprehensive PA of NASA's safety products in the current program and future programs/projects.

An Estimation of Mortality Risks among People Living with HIV in Karnataka State, India: Learnings from an Intensive HIV/AIDS Care and Support Programme

PubMed Central

Prakash, Ravi; Isac, Shajy; Washington, Reynold; Halli, Shiva S.

2016-01-01

Background In Indian context, limited attempts have been made to estimate the mortality risks among people living with HIV (PLHIV). We estimated the rates of mortality among PLHIV covered under an integrated HIV-prevention cum care and support programme implemented in Karnataka state, India, and attempted to identify the key programme components associated with the higher likelihood of their survival. Methods Retrospective programme data of 55,801 PLHIV registered with the Samastha programme implemented in Karnataka state during 2006–11 was used. Kaplan-Meier survival methods were used to estimate the ten years expected survival probabilities and Cox-proportional hazard model was used to examine the factors associated with risk of mortality among PLHIV. We also calculated mortality rates (per 1000 person-year) across selected demographic and clinical parameters. Results Of the total PLHIV registered with the programme, about nine percent died within the 5-years of programme period with an overall death rate of 38 per 1000 person-years. The mortality rate was higher among males, aged 18 and above, among illiterates, and those residing in rural areas. While the presence of co-infections such as Tuberculosis leads to higher mortality rate, adherence to ART was significantly associated with reduction in overall death rate. Cox proportional hazard model revealed that increase in CD4 cell counts and exposure to intensive care and support programme for at least two years can bring significant reduction in risk of death among PLHIV [(hazard ratio: 0.234; CI: 0.211–0.260) & (hazard ratio: 0.062; CI: 0.054–0.071), respectively] even after adjusting the effect of other socio-demographic, economic and health related confounders. Conclusion Study confirms that while residing in rural areas and presence of co-infection significantly increases the mortality risk among PLHIV, adherence to ART and improvement in CD4 counts led to significant reduction in their mortality risk. Longer exposure to the intervention contributed significantly to reduce mortality among PLHIV. PMID:27253974

The social value of mortality risk reduction: VSL versus the social welfare function approach.

PubMed

Adler, Matthew D; Hammitt, James K; Treich, Nicolas

2014-05-01

We examine how different welfarist frameworks evaluate the social value of mortality risk reduction. These frameworks include classical, distributively unweighted cost-benefit analysis--i.e., the "value per statistical life" (VSL) approach-and various social welfare functions (SWFs). The SWFs are either utilitarian or prioritarian, applied to policy choice under risk in either an "ex post" or "ex ante" manner. We examine the conditions on individual utility and on the SWF under which these frameworks display sensitivity to wealth and to baseline risk. Moreover, we discuss whether these frameworks satisfy related properties that have received some attention in the literature, namely equal value of risk reduction, preference for risk equity, and catastrophe aversion. We show that the particular manner in which VSL ranks risk-reduction measures is not necessarily shared by other welfarist frameworks. Copyright © 2014 Elsevier B.V. All rights reserved.

Predictors of Relationship Power among Drug-involved Women

PubMed Central

Campbell, Aimee N. C.; Tross, Susan; Hu, Mei-chen; Pavlicova, Martina; Nunes, Edward V.

2012-01-01

Gender-based relationship power is frequently linked to women’s capacity to reduce sexual risk behaviors. This study offers an exploration of predictors of relationship power, as measured by the multidimensional and theoretically grounded Sexual Relationship Power Scale (SRPS), among women in outpatient substance abuse treatment. Linear models were used to test nine predictors (age, race/ethnicity, education, time in treatment, economic dependence, substance use, sexual concurrency, partner abuse, sex role orientation) of relationship power among 513 women participating in a multi-site HIV risk reduction intervention study. Significant predictors of relationship control included having a non-abusive male partner, only one male partner, and endorsing traditional masculine (or both masculine and feminine) sex role attributes. Predictors of decision-making dominance were interrelated, with substance use x partner abuse and age x sex role orientation interactions. Results contribute to the understanding of factors which may influence relationship power and to their potential role in HIV sexual risk reduction interventions. PMID:22614746

Reducing risks from hazardous glacier lakes in the Cordillera Blanca (Peru): Six decades of experience and perspectives for the future

NASA Astrophysics Data System (ADS)

Portocarrero, Cesar; Cochachin, Alejo; Frey, Holger; González, Cesar; Haeberli, Wilfried; Huggel, Christian

2016-04-01

Outbursts from glacier lakes at various spatial and temporal scales have had marked geomorphological effects in many mountain ranges. In many glacierized Andean mountain regions substrates of human settlements made out of flood and debris-flow deposits are testimonies of such events. Examples in the Cordillera Blanca, Peru, are the towns of Caraz, Carhuaz or parts of Huaraz. Continued glacier shrinking since the end of the Little Ice Age caused the formation or enlargement of numerous lakes. The outburst of Laguna Palcacocha, destroying the centre of Huaraz and causing more than 1800 losses of life in December 1941, marked the beginning of systematic risk reduction work in Peru. Corresponding efforts included glacier and lake inventories, hazard assessments, definition of high-risk situations, and completion of engineering work for lake-level lowering in more than 30 cases. The latter comprises outlet reinforcements on morainic dams as well as artificial tunnels in bedrock thresholds. This work has been remarkably efficient as documented in the latest case of the Laguna Huallcacocha (Carhuaz-Ancash), where the earlier made installations withstood the erosive power of an impact wave from an ice avalanche in 2015. In the case of the Laguna 513, the impact wave and far-reaching flood caused by a rock/ice avalanche from Nevado Hualcán in April 2010 showed that the risk had been essentially reduced by the preventive lake-level lowering in the early 1990s but not to zero. Risk assessments, planning, construction and non-structural risk reduction efforts continue. Work is in progress to increase the safety of Laguna Palcacocha where extensive assessments and model calculations had been carried out. Risks related to rock/ice avalanches into lakes from steep icy slopes and related to de-buttressing processes as well as long-term permafrost degradation increases. Based on morphological indications and numerical modelling (GlabTop) an inventory of possible future lakes likely to form with continued atmospheric warming and glacier retreat has been compiled. The possibility of monitoring the stability of slopes around lakes using satellite-based radar interferometry techniques has been tested in the case of Laguna Parón and a number of other lakes. Hence risk reduction measures applied to critical glacier lakes is based on rigorous science and research progress. For the future it is essential to integrate risk reduction with water resource management because shrinking glaciers reduce water availability during the dry season when various economic sectors depend on melt water. First experiences with development of multi-purpose projects combining risk and water resource management have shown the associated scientific, technical, social and legal challenges. A multi-disciplinary process involving multiple institutions and actors is necessary to secure sustainable development in the Andes of Peru, and related experiences are valuable for other high-mountain regions as well.

Establishing a Program for Individuals at High Risk for Breast Cancer

PubMed Central

Cadiz, Fernando; Kuerer, Henry M.; Puga, Julio; Camacho, Jamile; Cunill, Eduardo; Arun, Banu

2013-01-01

Our need to create a program for individuals at high risk for breast cancer development led us to research the available data on such programs. In this paper, we summarize our findings and our thinking process as we developed our own program. Breast cancer incidence is increasing worldwide. Even though there are known risk factors for breast cancer development, approximately 60% of patients with breast cancer have no known risk factor, although this situation will probably change with further research, especially in genetics. For patients with risk factors based on personal or family history, different models are available for assessing and quantifying risk. Assignment of risk levels permits tailored screening and risk reduction strategies. Potential benefits of specialized programs for women with high breast cancer risk include more cost -effective interventions as a result of patient stratification on the basis of risk; generation of valuable data to advance science; and differentiation of breast programs from other breast cancer units, which can result in increased revenue that can be directed to further improvements in patient care. Guidelines for care of patients at high risk for breast cancer are available from various groups. However, running a high-risk breast program involves much more than applying a guideline. Each high-risk program needs to be designed by its institution with consideration of local resources and country legislation, especially related to genetic issues. Development of a successful high-risk program includes identifying strengths, weaknesses, opportunities, and threats; developing a promotion plan; choosing a risk assessment tool; defining “high risk”; and planning screening and risk reduction strategies for the specific population served by the program. The information in this article may be useful for other institutions considering creation of programs for patients with high breast cancer risk. PMID:23833688

Determinants of underage college student drinking: implications for four major alcohol reduction strategies.

PubMed

Paek, Hye-Jin; Hove, Thomas

2012-01-01

Guided by the assumptions of the social ecological model and the social marketing approach, this study provides a simultaneous and comprehensive assessment of 4 major alcohol reduction strategies for college campuses: school education programs, social norms campaigns, alcohol counter-marketing, and alcohol control policies. Analysis of nationally representative secondary survey data among 5,472 underage students reveals that alcohol marketing seems to be the most formidable risk factor for underage drinking, followed by perceived drinking norms (injunctive norm) and lax policy enforcement. This analysis suggests that, to make social norms campaigns and alcohol control policies more effective, alcohol reduction strategies should be developed to counter the powerful influence of alcohol marketing and promotions.

The feminine ideal and transactional sex: Navigating respectability and risk in Swaziland

PubMed Central

Fielding-Miller, Rebecca; Dunkle, Kristin L; Jama-Shai, Nwabisa; Windle, Michael; Hadley, Craig; Cooper, Hannah LF

2016-01-01

Women who engage in transactional sex are not only at increased risk of HIV and intimate partner violence, but also face social risks including gossip and ostracism. These social and physical risks may be dependent on both what a woman expects and needs from her partner and how her community perceives the relationship. Gender theory suggests that some of these social risks may hinge on whether or not a woman’s relationship threatens dominant masculinity. We conducted a qualitative study in Swaziland from September 2013 to October 2014 to explore transactional sex and respectable femininity through the lens of hegemonic gender theory. Using cultural consensus modeling, we identified cultural models of transactional sex and conducted 16 in-depth interviews with model key informants and 3 focus group discussions, for a total of 41 participants. We identified 4 main models of transactional relationships: One typified by marriage and high social respectability, a second in which women aspire towards marriage, a third particular to University students, and a fourth “sugar daddy” model. Women in all models expected and received significant financial support from their male partners. However, women in less respectable relationships risked social censure and stigma if they were discovered, in part because aspects of their relationship threatened hegemonic masculinity. Conversely, women who received male support in respectable relationships had to carefully select HIV risk reduction strategies that did not threaten their relationship and associated social status. Research and programming efforts typically focus only on the less socially respectable forms of transactional sex. This risks reinforcing stigma for women in relationships that are already considered socially unacceptable while ignoring the unique HIV risks faced by women in more respectable relationships. PMID:27107148

The feminine ideal and transactional sex: Navigating respectability and risk in Swaziland.

PubMed

Fielding-Miller, Rebecca; Dunkle, Kristin L; Jama-Shai, Nwabisa; Windle, Michael; Hadley, Craig; Cooper, Hannah L F

2016-06-01

Women who engage in transactional sex are not only at increased risk of HIV and intimate partner violence, but also face social risks including gossip and ostracism. These social and physical risks may be dependent on both what a woman expects and needs from her partner and how her community perceives the relationship. Gender theory suggests that some of these social risks may hinge on whether or not a woman's relationship threatens dominant masculinity. We conducted a qualitative study in Swaziland from September 2013 to October 2014 to explore transactional sex and respectable femininity through the lens of hegemonic gender theory. Using cultural consensus modeling, we identified cultural models of transactional sex and conducted 16 in-depth interviews with model key informants and 3 focus group discussions, for a total of 41 participants. We identified 4 main models of transactional relationships: One typified by marriage and high social respectability, a second in which women aspire towards marriage, a third particular to University students, and a fourth "sugar daddy" model. Women in all models expected and received significant financial support from their male partners. However, women in less respectable relationships risked social censure and stigma if they were discovered, in part because aspects of their relationship threatened hegemonic masculinity. Conversely, women who received male support in respectable relationships had to carefully select HIV risk reduction strategies that did not threaten their relationship and associated social status. Research and programming efforts typically focus only on the less socially respectable forms of transactional sex. This risks reinforcing stigma for women in relationships that are already considered socially unacceptable while ignoring the unique HIV risks faced by women in more respectable relationships. Copyright © 2016 Elsevier Ltd. All rights reserved.

A Consideration on Service Business Model for Saving Energy and Reduction of CO2 Emissions Using Inverters

NASA Astrophysics Data System (ADS)

Kosaka, Michitaka; Yabutani, Takashi

This paper considers the effectiveness of service business approach for reducing CO2 emission. “HDRIVE” is a service business using inverters to reduce energy consumption of motor drive. The business model of this service is changed for finding new opportunities of CO2 emission reduction by combining various factors such as financial service or long-term service contract. Risk analysis of this business model is very important for giving stable services to users for long term. HDRIVE business model is found to be suitable for this objective. This service can be applied to the industries such as chemical or steel industry effectively, where CO2 emission is very large, and has the possibility of creating new business considering CDM or trading CO2 emission right. The effectiveness of this approach is demonstrated through several examples in real business.

Improved physiologically based pharmacokinetic model for oral exposures to chromium in mice, rats, and humans to address temporal variation and sensitive populations.

PubMed

Kirman, C R; Suh, M; Proctor, D M; Hays, S M

2017-06-15

A physiologically based pharmacokinetic (PBPK) model for hexavalent chromium [Cr(VI)] in mice, rats, and humans developed previously (Kirman et al., 2012, 2013), was updated to reflect an improved understanding of the toxicokinetics of the gastrointestinal tract following oral exposures. Improvements were made to: (1) the reduction model, which describes the pH-dependent reduction of Cr(VI) to Cr(III) in the gastrointestinal tract under both fasted and fed states; (2) drinking water pattern simulations, to better describe dosimetry in rodents under the conditions of the NTP cancer bioassay; and (3) parameterize the model to characterize potentially sensitive human populations. Important species differences, sources of non-linear toxicokinetics, and human variation are identified and discussed within the context of human health risk assessment. Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

Development and Validation of a Model to Predict Absolute Vascular Risk Reduction by Moderate-Intensity Statin Therapy in Individual Patients With Type 2 Diabetes Mellitus: The Anglo Scandinavian Cardiac Outcomes Trial, Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial, and Collaborative Atorvastatin Diabetes Study.

PubMed

Kaasenbrood, Lotte; Poulter, Neil R; Sever, Peter S; Colhoun, Helen M; Livingstone, Shona J; Boekholdt, S Matthijs; Pressel, Sara L; Davis, Barry R; van der Graaf, Yolanda; Visseren, Frank L J

2016-05-01

In this study, we aimed to translate the average relative effect of statin therapy from trial data to the individual patient with type 2 diabetes mellitus by developing and validating a model to predict individualized absolute risk reductions (ARR) of cardiovascular events. Data of 2725 patients with type 2 diabetes mellitus from the Lipid Lowering Arm of the Anglo Scandinavian Cardiac Outcomes Trial (ASCOT-LLA) study (atorvastatin 10 mg versus placebo) were used for model derivation. The model was based on 8 clinical predictors including treatment allocation (statin/placebo). Ten-year individualized ARR on major cardiovascular events by statin therapy were calculated for each patient by subtracting the estimated on-treatment risk from the estimated off-treatment risk. Predicted 10-year ARR by statin therapy was <2% for 13% of the patients. About 30% had an ARR of >4% (median ARR, 3.2%; interquartile range, 2.5%-4.3%; 95% confidence interval for 3.2% ARR, -1.4% to 6.8%). Addition of treatment interactions did not improve model performance. Therefore, the wide distribution in ARR was a consequence of the underlying distribution in cardiovascular risk enrolled in these trials. External validation of the model was performed in data from the Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial (ALLHAT-LLT; pravastatin 40 mg versus usual care) and Collaborative Atorvastatin Diabetes Study (CARDS; atorvastatin 10 mg versus placebo) of 3878 and 2838 patients with type 2 diabetes mellitus, respectively. Model calibration was adequate in both external data sets, discrimination was moderate (ALLHAT-LLT: c-statistics, 0.64 [95% confidence interval, 0.61-0.67] and CARDS: 0.68 [95% confidence interval, 0.64-0.72]). ARRs of major cardiovascular events by statin therapy can be accurately estimated for individual patients with type 2 diabetes mellitus using a model based on routinely available patient characteristics. There is a wide distribution in ARR that may complement informed decision making. URL: http://www.clinicaltrials.gov. Unique identifier: NCT00327418 (CARDS) and NCT00000542 (ALLHAT). © 2016 American Heart Association, Inc.

Health Hazard Appraisal Counseling—Continuing Evaluation

PubMed Central

LaDou, Joseph; Sherwood, John N.; Hughes, Lewis

1979-01-01

A program of annual health examinations was expanded to include counseling based on a computerized appraisal of individual patients' specific health risk factors. Data obtained from a specially designed questionnaire, laboratory tests and a physical examination yielded a health hazard appraisal showing a number of weighted risk factors and their relation to ten leading causes of death as determined for that patient. From all of this information, a “risk age” was developed which could then be compared with the patient's “true age.” The results were reviewed with each patient, and methods of correcting health hazards were stressed. The first annual retesting of a group of 107 examinees showed a net risk age reduction of 1.4 years (formerly reported in this journal). The longer term follow-up reported in this paper showed a net risk reduction of 2.38 years in a group of 26 examinees. The net risk age reduction in the two groups represented 32 and 40 percent, respectively, of the achievable risk age reduction when patients comply with suggestions made during risk reduction counseling. These findings indicate that health hazard appraisal counseling is an effective method of altering priorities of health practices. PMID:425518

Themes in the literature related to cardiovascular disease risk reduction.

PubMed

Cohen, Shannon Munro; Kataoka-Yahiro, Merle

2009-01-01

This article aimed to identify themes in the literature related to patient-healthcare provider beliefs, barriers to adherence, and interventions pertaining to cardiovascular disease risk reduction. Twenty quantitative and qualitative primary research studies including 2 meta-analyses published between 1995 and 2008 were analyzed for themes and practice implications to synthesize existing research on cardiovascular disease risk reduction. Databases searched included EBSCO, CINAHL, MEDLINE, ScienceDirect, HealthSource, and PsychLit using the search terms patient- provider adherence, adherence and shared decision making, adherence and decision support, patient- provider goal setting, and cardiovascular disease risk reduction. The emergent themes found in this literature review included (1) complex medication regimens; (2) risk perception, quality of life, and competing priorities; (3) motivation for change; (4) provider clinical inertia; and (5) goal setting, feedback, and reminders. Studies reporting the highest rates of adherence to cardiovascular disease risk reduction recommendations incorporated patient-provider goal setting and decision support, self-management techniques, and personalized printed communication. Goal setting in cardiovascular disease risk reduction is a relatively unexplored area and is an important component of shared decision making and adherence to cardiovascular disease health recommendations. The following review will address the 5 themes identified in more detail and provide a basis for improved clinical practice.

Development and validation of risk models to predict outcomes following in-hospital cardiac arrest attended by a hospital-based resuscitation team.

PubMed

Harrison, David A; Patel, Krishna; Nixon, Edel; Soar, Jasmeet; Smith, Gary B; Gwinnutt, Carl; Nolan, Jerry P; Rowan, Kathryn M

2014-08-01

The National Cardiac Arrest Audit (NCAA) is the UK national clinical audit for in-hospital cardiac arrest. To make fair comparisons among health care providers, clinical indicators require case mix adjustment using a validated risk model. The aim of this study was to develop and validate risk models to predict outcomes following in-hospital cardiac arrest attended by a hospital-based resuscitation team in UK hospitals. Risk models for two outcomes-return of spontaneous circulation (ROSC) for greater than 20min and survival to hospital discharge-were developed and validated using data for in-hospital cardiac arrests between April 2011 and March 2013. For each outcome, a full model was fitted and then simplified by testing for non-linearity, combining categories and stepwise reduction. Finally, interactions between predictors were considered. Models were assessed for discrimination, calibration and accuracy. 22,479 in-hospital cardiac arrests in 143 hospitals were included (14,688 development, 7791 validation). The final risk model for ROSC>20min included: age (non-linear), sex, prior length of stay in hospital, reason for attendance, location of arrest, presenting rhythm, and interactions between presenting rhythm and location of arrest. The model for hospital survival included the same predictors, excluding sex. Both models had acceptable performance across the range of measures, although discrimination for hospital mortality exceeded that for ROSC>20min (c index 0.81 versus 0.72). Validated risk models for ROSC>20min and hospital survival following in-hospital cardiac arrest have been developed. These models will strengthen comparative reporting in NCAA and support local quality improvement. Copyright © 2014 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.

Development and validation of risk models to predict outcomes following in-hospital cardiac arrest attended by a hospital-based resuscitation team☆

PubMed Central

Harrison, David A.; Patel, Krishna; Nixon, Edel; Soar, Jasmeet; Smith, Gary B.; Gwinnutt, Carl; Nolan, Jerry P.; Rowan, Kathryn M.

2014-01-01

Aim The National Cardiac Arrest Audit (NCAA) is the UK national clinical audit for in-hospital cardiac arrest. To make fair comparisons among health care providers, clinical indicators require case mix adjustment using a validated risk model. The aim of this study was to develop and validate risk models to predict outcomes following in-hospital cardiac arrest attended by a hospital-based resuscitation team in UK hospitals. Methods Risk models for two outcomes—return of spontaneous circulation (ROSC) for greater than 20 min and survival to hospital discharge—were developed and validated using data for in-hospital cardiac arrests between April 2011 and March 2013. For each outcome, a full model was fitted and then simplified by testing for non-linearity, combining categories and stepwise reduction. Finally, interactions between predictors were considered. Models were assessed for discrimination, calibration and accuracy. Results 22,479 in-hospital cardiac arrests in 143 hospitals were included (14,688 development, 7791 validation). The final risk model for ROSC > 20 min included: age (non-linear), sex, prior length of stay in hospital, reason for attendance, location of arrest, presenting rhythm, and interactions between presenting rhythm and location of arrest. The model for hospital survival included the same predictors, excluding sex. Both models had acceptable performance across the range of measures, although discrimination for hospital mortality exceeded that for ROSC > 20 min (c index 0.81 versus 0.72). Conclusions Validated risk models for ROSC > 20 min and hospital survival following in-hospital cardiac arrest have been developed. These models will strengthen comparative reporting in NCAA and support local quality improvement. PMID:24830872

Extended thromboprophylaxis in the acutely ill medical patient after hospitalization - a paradigm shift in post-discharge thromboprophylaxis.

PubMed

Mahan, Charles E; Burnett, Allison E; Fletcher, Meghan L; Spyropoulos, Alex C

2018-02-01

Venous thromboembolism (VTE) is a significant healthcare burden with approximately 900,000 events annually in the United States, over half of which are healthcare-associated. This number is anticipated to double by 2050. Group prophylaxis strategies confined to the inpatient setting appear to have minimal impact on the reduction of post-discharge VTE in medically ill patients due to shortened lengths of stay and a heterogenous population that includes patients at low risk for VTE. In accordance with current guideline recommendations, very few (<5%) medically ill patients are discharged with extended prophylaxis, which potentially creates a clinical gap for at-risk patients as VTE risk has been shown to persist for up to 90 days. Initial studies of extended thromboprophylaxis in acutely ill medical patients with enoxaparin, rivaroxaban and apixaban showed little to no benefit towards VTE reduction that was consistently outweighed by increased bleeding. The more recent APEX study that compared betrixaban to enoxaparin in an enriched patient population at high-risk for VTE was the first study of extended thromboprophylaxis that showed similar efficacy in VTE prevention without an increase in major bleeding. Based on the APEX results, betrixaban recently gained FDA approval for extended thromboprophylaxis in acutely ill medical patients. Recognition that up to half of medically ill patients are not at sufficient risk to warrant thromboprophylaxis has driven extensive research towards development of scientifically derived and validated VTE risk assessment models intended to identify patients who do not warrant prophylaxis, as well as those at high risk who may derive benefit from extended thromboprophylaxis. This article will review prior and ongoing extended thromboprophylaxis studies, VTE and bleed risk assessment models, incorporation of biomarkers in VTE risk assessment and key issues in the paradigm shift towards individualized VTE prophylaxis in acutely ill medical patients.

Effects of physical and mental stressors on muscle pain.

PubMed

Westgaard, R H

1999-01-01

Physical and mental stressors as risk factors for pain development are discussed. These multifaceted stressor terms are narrowed down so that physical stressors are represented by muscle activity recorded by electromyography (EMG), while mental stress is considered synonymous with psychosocial stress in vocational studies; in experimental studies cognitive stress is used as a model. Pain in the shoulder and neck are focused and related to EMG recordings of activity in the trapezius muscle. Major challenges in this field include proper risk assessment at low physical work loads and criteria for evaluating stress as a risk factor. A 3-factor conceptual model is presented in which the independent dimensions physical work load, mental stress, and individual sensitivity determine the risk of shoulder and neck complaints. It is pointed out that a predominant reduction in physical work load for many jobs and an increasing interaction between work conditions and the general life situation of workers pose particular challenges for risk assessment.

Vorapaxar: The Current Role and Future Directions of a Novel Protease-Activated Receptor Antagonist for Risk Reduction in Atherosclerotic Disease.

PubMed

Gryka, Rebecca J; Buckley, Leo F; Anderson, Sarah M

2017-03-01

Despite the current standard of care, patients with cardiovascular disease remain at a high risk for recurrent events. Inhibition of thrombin-mediated platelet activation through protease-activated receptor-1 antagonism may provide reductions in atherosclerotic disease beyond those achievable with the current standard of care. Our primary objective is to evaluate the clinical literature regarding the role of vorapaxar (Zontivity™) in the reduction of cardiovascular events in patients with a history of myocardial infarction and peripheral artery disease. In particular, we focus on the potential future directions for protease-activating receptor antagonists in the treatment of a broad range of atherosclerotic diseases. A literature search of PubMed and EBSCO was conducted to identify randomized clinical trials from August 2005 to June 2016 using the search terms: 'vorapaxar', 'SCH 530348', 'protease-activated receptor-1 antagonist', and 'Zontivity™'. Bibliographies were searched and additional resources were obtained. Vorapaxar is a first-in-class, protease-activated receptor-1 antagonist. The Thrombin Receptor Antagonist for Clinical Event Reduction (TRACER) trial did not demonstrate a significant reduction in a broad primary composite endpoint. However, the Thrombin-Receptor Antagonist in Secondary Prevention of Atherothrombotic Ischemic Events (TRA 2°P-TIMI 50) trial examined a more traditional composite endpoint and found a significant benefit with vorapaxar. Vorapaxar significantly increased bleeding compared with standard care. Ongoing trials will help define the role of vorapaxar in patients with peripheral arterial disease, patients with diabetes mellitus, and other important subgroups. The use of multivariate modeling may enable the identification of subgroups with maximal benefit and minimal harm from vorapaxar. Vorapaxar provides clinicians with a novel mechanism of action to further reduce the burden of ischemic heart disease. Identification of patients with a high ischemic risk and low bleeding risk would enable clinicians to maximize the utility of this unique agent.

Routine brief risk-reduction counseling with biannual STD testing reduces STD incidence among HIV-infected men who have sex with men in care.

PubMed

Patel, Pragna; Bush, Tim; Mayer, Kenneth; Milam, Joel; Richardson, Jean; Hammer, John; Henry, Keith; Overton, Turner; Conley, Lois; Marks, Gary; Brooks, John T

2012-06-01

We evaluated whether routine biannual sexually transmitted disease (STD) testing coupled with brief risk-reduction counseling reduces STD incidence and high-risk behaviors. The SUN study is a prospective observational HIV cohort study conducted in 4 US cities. At enrollment and every 6 months thereafter, participants completed a behavioral survey and were screened for STDs, and if diagnosed, were treated. Medical providers conducted brief risk-reduction counseling with all patients. Among men who have sex with men (MSM), we examined trends in STD incidence and rates of self-reported risk behaviors before and after exposure to the risk-reduction intervention. The "preintervention" visit was the study visit that was at least 6 months after enrollment STD screening and treatment and at which the participant was first exposed to the intervention. The "postintervention" visit was 12 months later. Among 216 MSM with complete STD and behavioral data, median age was 44.5 years; 77% were non-Hispanic white; 83% were on highly active antiretroviral treatment; 84% had an HIV RNA level <400 copies/mL and the median CD4 (cluster of differentiation 4) count was 511 cells/mm. Twelve months after first exposure to the risk-reduction intervention, STD incidence declined from 8.8% to 4.2% (P = 0.041). Rates of unprotected receptive or insertive anal intercourse with HIV-positive partners increased (19% to 25%, P = 0.024), but did not change with HIV-negative partners or partners of unknown HIV status (24% to 22%, P = 0.590). STD incidence declined significantly among HIV-infected MSM after implementing frequent, routine STD testing coupled with risk-reduction counseling. These findings support adoption of routine STD screening and risk-reduction counseling for HIV-infected MSM.

Comparative Effectiveness of Personalized Lifestyle Management Strategies for Cardiovascular Disease Risk Reduction.

PubMed

Chu, Paula; Pandya, Ankur; Salomon, Joshua A; Goldie, Sue J; Hunink, M G Myriam

2016-03-29

Evidence shows that healthy diet, exercise, smoking interventions, and stress reduction reduce cardiovascular disease risk. We aimed to compare the effectiveness of these lifestyle interventions for individual risk profiles and determine their rank order in reducing 10-year cardiovascular disease risk. We computed risks using the American College of Cardiology/American Heart Association Pooled Cohort Equations for a variety of individual profiles. Using published literature on risk factor reductions through diverse lifestyle interventions-group therapy for stopping smoking, Mediterranean diet, aerobic exercise (walking), and yoga-we calculated the risk reduction through each of these interventions to determine the strategy associated with the maximum benefit for each profile. Sensitivity analyses were conducted to test the robustness of the results. In the base-case analysis, yoga was associated with the largest 10-year cardiovascular disease risk reductions (maximum absolute reduction 16.7% for the highest-risk individuals). Walking generally ranked second (max 11.4%), followed by Mediterranean diet (max 9.2%), and group therapy for smoking (max 1.6%). If the individual was a current smoker and successfully quit smoking (ie, achieved complete smoking cessation), then stopping smoking yielded the largest reduction. Probabilistic and 1-way sensitivity analysis confirmed the demonstrated trend. This study reports the comparative effectiveness of several forms of lifestyle modifications and found smoking cessation and yoga to be the most effective forms of cardiovascular disease prevention. Future research should focus on patient adherence to personalized therapies, cost-effectiveness of these strategies, and the potential for enhanced benefit when interventions are performed simultaneously rather than as single measures. © 2016 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley Blackwell.

Multi-hazard risk assessment of the Republic of Mauritius

NASA Astrophysics Data System (ADS)

Mysiak, Jaroslav; Galli, Alberto; Amadio, Mattia; Teatini, Chiara

2013-04-01

The Republic of Mauritius (ROM) is a small island developing state (SIDS), part of the Mascarene Islands in West Indian Ocean, comprised by Mauritius, Rodrigues, Agalega and St. Brandon islands and several islets. ROM is exposed to many natural hazards notably cyclones, tsunamis, torrential precipitation, landslides, and droughts; and highly vulnerable sea level rise (SLR) driven by human induced climate change. The multihazard risk assessment presented in this paper is aimed at identifying the areas prone to flood, inundation and landslide hazard, and inform the development of strategy for disaster risk reduction (DRR) and climate change adaptation (CCA). Climate risk analysis - a central component of the analysis - is one of the first comprehensive climate modelling studies conducted for the country. Climate change may lift the temperature by 1-2 degree Celsius by 2060-2070, and increase sizably the intensity and frequency of extreme precipitation events. According to the IPCC Forth Assessment Report (AR4), the expected Sea Level Rise (SLR) ranges between 16 and 49 cm. Individually or in combination, the inland flood, coastal inundation and landslide hazards affect large proportion of the country. Sea level rise and the changes in precipitation regimes will amplified existing vulnerabilities and create new ones. The paper outlines an Action plan for Disaster Risk Reduction that takes into account the likely effects of climate change. The Action Plan calls on the government to establish a National Platform for Disaster Risk Reduction as recommended by the Hyogo Framework for Action (HFA) 2005-2015. It consists of nine recommendations which, if put in practice, will significantly reduce the annual damage to natural hazard and produce additional (ancillary) benefits in economic, social and environmental terms.

Metabolic syndrome and ischemic stroke risk: Northern Manhattan Study.

PubMed

Boden-Albala, Bernadette; Sacco, Ralph L; Lee, Hye-Sueng; Grahame-Clarke, Cairistine; Rundek, Tanja; Elkind, Mitchell V; Wright, Clinton; Giardina, Elsa-Grace V; DiTullio, Marco R; Homma, Shunichi; Paik, Myunghee C

2008-01-01

More than 47 million individuals in the United States meet the criteria for the metabolic syndrome. The relation between the metabolic syndrome and stroke risk in multiethnic populations has not been well characterized. As part of the Northern Manhattan Study, 3298 stroke-free community residents were prospectively followed up for a mean of 6.4 years. The metabolic syndrome was defined according to guidelines established by the National Cholesterol Education Program Adult Treatment Panel III. Cox proportional-hazards models were used to calculate hazard ratios (HRs) and 95% CIs for ischemic stroke and vascular events (ischemic stroke, myocardial infarction, or vascular death). The etiologic fraction estimates the proportion of events attributable to the metabolic syndrome. More than 44% of the cohort had the metabolic syndrome (48% of women vs 38% of men, P<0.0001), which was more prevalent among Hispanics (50%) than whites (39%) or blacks (37%). The metabolic syndrome was associated with increased risk of stroke (HR=1.5; 95% CI, 1.1 to 2.2) and vascular events (HR=1.6; 95% CI, 1.3 to 2.0) after adjustment for sociodemographic and risk factors. The effect of the metabolic syndrome on stroke risk was greater among women (HR=2.0; 95% CI, 1.3 to 3.1) than men (HR=1.1; 95% CI, 0.6 to 1.9) and among Hispanics (HR=2.0; 95% CI, 1.2 to 3.4) compared with blacks and whites. The etiologic fraction estimates suggest that elimination of the metabolic syndrome would result in a 19% reduction in overall stroke, a 30% reduction of stroke in women; and a 35% reduction of stroke among Hispanics. The metabolic syndrome is an important risk factor for ischemic stroke, with differential effects by sex and race/ethnicity.

Comparative cost-effectiveness of metformin-based dual therapies associated with risk of cardiovascular diseases among Chinese patients with type 2 diabetes: Evidence from a population-based national cohort in Taiwan.

PubMed

Ou, Huang-Tz; Chen, Yen-Ting; Liu, Ya-Ming; Wu, Jin-Shang

2016-06-01

To assess the cost-effectiveness of metformin-based dual therapies associated with cardiovascular disease (CVD) risk in a Chinese population with type 2 diabetes. We utilized Taiwan's National Health Insurance Research Database (NHIRD) 1997-2011, which is derived from the claims of National Health Insurance, a mandatory-enrollment single-payer system that covers over 99% of Taiwan's population. Four metformin-based dual therapy cohorts were used, namely a reference group of metformin plus sulfonylureas (Metformin-SU) and metformin plus acarbose, metformin plus thiazolidinediones (Metformin-TZD), and metformin plus glinides (Metformin-glinides). Using propensity scores, each subject in a comparison cohort was 1:1 matched to a referent. The effectiveness outcome was CVD risk. Only direct medical costs were included. The Markov chain model was applied to project lifetime outcomes, discounted at 3% per annum. The bootstrapping technique was performed to assess uncertainty in analysis. Metformin-glinides was most cost-effective in the base-case analysis; Metformin-glinides saved $194 USD for one percentage point of reduction in CVD risk, as compared to Metformin-SU. However, for the elderly or those with severe diabetic complications, Metformin-TZD, especially pioglitazone, was more suitable; as compared to Metformin-SU, Metformin-TZD saved $840.1 USD per percentage point of reduction in CVD risk. Among TZDs, Metformin-pioglitazone saved $1831.5 USD per percentage point of associated CVD risk reduction, as compared to Metformin-rosiglitazone. When CVD is considered an important clinical outcome, Metformin-pioglitazone is cost-effective, in particular for the elderly and those with severe diabetic complications. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Cost-benefit analysis of passive fire protections in road LPG transportation.

PubMed

Paltrinieri, Nicola; Bonvicini, Sarah; Spadoni, Gigliola; Cozzani, Valerio

2012-02-01

The cost-benefit evaluation of passive fire protection adoption in the road transport of liquefied petroleum gas (LPG) was investigated. In a previous study, mathematical simulations of real scale fire scenarios proved the effectiveness of passive fire protections in preventing the "fired" boiling liquid expanding vapor explosion (BLEVE), thus providing a significant risk reduction. In the present study the economical aspects of the adoption of fire protections are analyzed and an approach to cost-benefit analysis (CBA) is proposed. The CBA model is based on the comparison of the risk reduction due to fire protections (expressed in monetary terms by the value of a statistical life) and the cost of the application of fire protections to a fleet of tankers. Different types of fire protections were considered, as well as the possibility to apply protections to the entire fleet or only to a part of it. The application of the proposed model to a real-life case study is presented and discussed. Results demonstrate that the adoption of passive fire protections on road tankers, though not compulsory in Europe, can be economically feasible, thus representing a concrete measure to achieve control of the "major hazard accidents" cited by the European legislation. © 2011 Society for Risk Analysis.

Saturation of tobacco smoking models and risk of alcohol and tobacco use among adolescents.

PubMed

Taylor, Jennifer E; Conard, Mark W; Koetting O'Byrne, Kristin; Haddock, C Keith; Poston, W S Carlos

2004-09-01

To examine how saturation of an adolescent's environment with models of cigarette smoking (e.g., parents, siblings, friends) affects the probability of tobacco and alcohol use among junior high and high school students. The Health and Smoking Questionnaire was administered to 806 adolescents (182 smokers and 624 nonsmokers; 57.2% female) average age of 15.1 years (SD = 1.6) in a mid-size Midwestern town. The questionnaire contains standardized items in five domains: demographics, smoking status and history, perceptions of risk and risk reduction, risk factors for tobacco use, and parenting style. Risk for smoking or using alcohol increased dramatically as the number of models who smoke increased in an adolescent's environment. For instance, adolescents with one significant other who smoked were nearly four times (OR = 3.76, p <.001) more likely to smoke than someone with no significant others who smoked. However, if an adolescent had four significant others who smoked, they were over 160 times more likely to smoke (OR = 161.25, p <.001). Similar results were found for alcohol use; adolescents who had one significant other who smoked were more than 2.5 (OR = 2.66, p <.001) times more likely to drink than those without smoking models. Adolescents who had four significant other smoking models were 13 times (OR = 13.08, p <.001) more likely to drink. As the number of cigarette smokers in an adolescent's environment increases, risk of tobacco and alcohol use increases substantially. These data suggest that multiple models of tobacco use will substantially increase risk for substance use in adolescents.

Comparisons of lung tumour mortality risk in the Japanese A-bomb survivors and in the Colorado Plateau uranium miners: support for the ICRP lung model.

PubMed

Little, M P

2002-03-01

To estimate the ratio of risks for exposure to radon progeny relative to low-LET radiation based on human lung cancer data, taking account of possible time and age variations in radiation-induced lung cancer risk. Fitting two sorts of time- and age-adjusted relative risk models to a case-control dataset nested within the Colorado Plateau uranium miner cohort and to the Japanese atomic (A)-bomb survivor mortality data. If all A-bomb survivors are compared with the Colorado data, there are statistically significant (two-sided p < 0.05) differences between the two datasets in the pattern of the variation of relative risk with time after exposure, age at exposure and attained age. The excess relative risk decreases much faster with time, age at exposure and attained age in the Colorado uranium miners than in the Japanese A-bomb survivors. If only male A-bomb survivors are compared with the Colorado data, there are no longer statistically significant differences between the two datasets in the pattern of variation of relative risk with time after exposure, age at exposure or attained age. There are no statistically significant differences between the male and female A-bomb survivors in the speed of reduction of relative risk with time after exposure, age at exposure or attained age, although there are indications of rather faster reduction of relative risk with time and age among male survivors than among female survivors. The implicit risk conversion factor for exposure to radon progeny relative to the A-bomb radiation in the male survivors is 1.8 x 10(-2) Sv WLM(-1) (95% CI 6.1 x10(-3), 1.1 x 10(-1)) using a model with exponential adjustments for the effects of radiation for time since exposure and age at exposure, and 1.9 x 10(-2) Sv WLM(-1) (95% CI 6.2 x 10(-3), 1.6 x 10(-1)) using a model with adjustments for the effects of radiation proportional to powers of time since exposure and attained age. Estimates of the risk conversion factor calculated using variant assumptions as to the definition of lung cancer in the Colorado data, or by excluding miners for whom exposure estimates may be less reliable, are very similar. The absence of information on cigarette smoking in the Japanese A-bomb survivors, and the possibility that this may confound the time trends in radiation-induced lung cancer risk in that cohort, imply that these findings should be interpreted with caution. There are no statistically significant differences between the male A-bomb survivors data and the Colorado miner data in the pattern of variation of relative risk with time after exposure and age at exposure. The risk conversion factor is very close to the value suggested by the latest ICRP lung model, albeit with substantial uncertainties.

Breast cancer prevention knowledge, beliefs, and information sources between non-Hispanic and Hispanic college women for risk reduction focus.

PubMed

Kratzke, Cynthia; Amatya, Anup; Vilchis, Hugo

2015-02-01

Although growing research focuses on breast cancer screenings, little is known about breast cancer prevention with risk reduction awareness for ethnic differences among college-age women. This study examined breast cancer prevention knowledge, beliefs, and information sources between non-Hispanic and Hispanic college women. Using a cross-sectional study, women at a university in the Southwest completed a 51-item survey about breast cancer risk factors, beliefs, and media and interpersonal information sources. The study was guided by McGuire's Input Output Persuasion Model. Of the 546 participants, non-Hispanic college women (n = 277) and Hispanic college women (n = 269) reported similar basic knowledge levels of modifiable breast cancer risk factors for alcohol consumption (52 %), obesity (72 %), childbearing after age 35 (63 %), and menopausal hormone therapy (68 %) using bivariate analyses. Most common information sources were Internet (75 %), magazines (69 %), provider (76 %) and friends (61 %). Least common sources were radio (44 %), newspapers (34 %), and mothers (36 %). Non-Hispanic college women with breast cancer family history were more likely to receive information from providers, friends, and mothers. Hispanic college women with a breast cancer family history were more likely to receive information from their mothers. Breast cancer prevention education for college women is needed to include risk reduction for modifiable health behavior changes as a new focus. Health professionals may target college women with more information sources including the Internet or apps.

Internet based HIV prevention research targeting rural MSM: feasibility, acceptability, and preliminary efficacy

PubMed Central

Williams, M. L.; Daniel, C. M.; Clayton, S.

2008-01-01

Internet delivered primary prevention interventions for HIV risk reduction present significant challenges. Changing lifestyle behaviors, such as beginning to use condoms, is difficult and men seeking dates on line may want to avoid thinking about HIV risk which may lead to low initiation and high dropout rates. Many Internet delivered HIV risk reduction programs have mimicked face-to-face outreach programs, failing to take advantage of the Internet’s capabilities or did not conduct evaluation. This study focuses on examining the feasibility, acceptability, and efficacy of an Internet delivered HIV risk reduction program for rural men who have sex with men (MSM). The program included online recruiting, three intervention modules, each with two sessions, online questionnaires. The intervention was developed based on iterative research and the Information-Motivation-Behavioral skills model. Participants (N = 475) were randomly assigned to one of six module orders and data were collected automatically at pre-test and after each module. Data supports the feasibility and acceptability of the program as demonstrated by good retention and rapid program completion. Knowledge, self-efficacy, outcome expectancies and motivation increase in a dose response fashion. Post-intervention behavior changes included reduced anal sex and significant increases in condom use. Limitations include a short follow-up period, a predominantly young white rural sample, and the lack of an attention control. Overall the results of the study provide support for the efficacy of Internet-based interventions to reduce risk of HIV infection. Results also support traditional research methods to evaluate HIV prevention programs delivered exclusively through the Internet. PMID:18770021

Post-exercise heart rate recovery independently predicts mortality risk in patients with chronic heart failure.

PubMed

Tang, Yi-Da; Dewland, Thomas A; Wencker, Detlef; Katz, Stuart D

2009-12-01

Post-exercise heart rate recovery (HRR) is an index of parasympathetic function associated with clinical outcomes in populations with and without documented coronary heart disease. Decreased parasympathetic activity is thought to be associated with disease progression in chronic heart failure (HF), but an independent association between post-exercise HRR and clinical outcomes among such patients has not been established. We measured HRR (calculated as the difference between heart rate at peak exercise and after 1 minute of recovery) in 202 HF subjects and recorded 17 mortality and 15 urgent transplantation outcome events over 624 days of follow-up. Reduced post-exercise HRR was independently associated with increased event risk after adjusting for other exercise-derived variables (peak oxygen uptake and change in minute ventilation per change in carbon dioxide production slope), for the Heart Failure Survival Score (adjusted HR 1.09 for 1 beat/min reduction, 95% CI 1.05-1.13, P < .0001), and the Seattle Heart Failure Model score (adjusted HR 1.08 for one beat/min reduction, 95% CI 1.05-1.12, P < .0001). Subjects in the lowest risk tertile based on post-exercise HRR (>or=30 beats/min) had low risk of events irrespective of the risk predicted by the survival scores. In a subgroup of 15 subjects, reduced post-exercise HRR was associated with increased serum markers of inflammation (interleukin-6, r = 0.58, P = .024; high-sensitivity C-reactive protein, r = 0.66, P = .007). Post-exercise HRR predicts mortality risk in patients with HF and provides prognostic information independent of previously described survival models. Pathophysiologic links between autonomic function and inflammation may be mediators of this association.

Evaluation of Cost Leadership Strategy in Shipping Enterprises with Simulation Model

NASA Astrophysics Data System (ADS)

Ferfeli, Maria V.; Vaxevanou, Anthi Z.; Damianos, Sakas P.

2009-08-01

The present study will attempt the evaluation of cost leadership strategy that prevails in certain shipping enterprises and the creation of simulation models based on strategic model STAIR. The above model is an alternative method of strategic applications evaluation. This is held in order to be realised if the strategy of cost leadership creates competitive advantage [1] and this will be achieved via the technical simulation which appreciates the interactions between the operations of an enterprise and the decision-making strategy in conditions of uncertainty with reduction of undertaken risk.

The contribution of indigenous knowledge to disaster risk reduction activities in Zimbabwe: A big call to practitioners

PubMed Central

Munsaka, Edson

2018-01-01

This article examined the contribution of indigenous knowledge to disaster risk reduction activities in Zimbabwe. The current discourse underrates the use of indigenous knowledge of communities by practitioners when dealing with disasters’, as the knowledge is often viewed as outdated and primitive. This study, which was conducted in 2016, sought to examine this problem through analysing the potential contribution of indigenous knowledge as a useful disaster risk reduction intervention. Tsholotsho district in Matabeleland, North province of Zimbabwe, which frequently experiences perennial devastating floods, was used as a case study. Interviews and researcher observations were used to gather data from 40 research participants. The findings were that communities understand weather patterns and could predict imminent flooding after studying trees and clouds, and the behaviours of certain animal species. Local communities also use available local resources to put structural measures in place as part of disaster risk reduction interventions. Despite this important potential, the study found that the indigenous knowledge of disaster risk reduction of the communities is often shunned by practitioners. The practitioners claim that indigenous knowledge lacks documentation, it is not found in all generational classes, it is contextualised to particular communities and the knowledge cannot be scientifically validated. The study concluded that both local communities and disaster risk reduction practitioners can benefit from the indigenous knowledge of communities. This research has the potential to benefit communities, policymakers and disaster risk reduction practitioners.

The effect of recent trends in vehicle design on U.S. societal fatality risk per vehicle mile traveled, and their projected future relationship with vehicle mass.

PubMed

Wenzel, Tom

2013-07-01

The National Highway Traffic Safety Administration (NHTSA) recently updated its 2003 and 2010 logistic regression analyses of the effect of a reduction in light-duty vehicle mass on US fatality risk per vehicle mile traveled (VMT). The current NHTSA analysis is the most thorough investigation of this issue to date. LBNL's assessment of the analysis indicates that the estimated effect of mass reduction on risk is smaller than in the previous studies, and statistically non-significant for all but the lightest cars. The effects three recent trends in vehicle designs and technologies have on societal fatality risk per VMT are estimated, and whether these changes might affect the relationship between vehicle mass and fatality risk in the future. Side airbags are found to reduce fatality risk in cars, but not necessarily light trucks or CUVs/minivans, struck in the side by another light-duty vehicle; reducing the number of fatalities in cars struck in the side is predicted to reduce the estimated detrimental effect of footprint reduction, but increase the detrimental effect of mass reduction, in cars on societal fatality risk. Better alignment of light truck bumpers with those of other vehicles appears to result in a statistically significant reduction in risk imposed on car occupants; however, reducing this type of fatality will likely have little impact on the estimated effect of mass or footprint reduction on risk. Finally, shifting light truck drivers into safer, car-based vehicles, such as sedans, CUVs, and minivans, would result in larger reductions in societal fatalities than expected from even substantial reductions in the masses of light trucks. A strategy of shifting drivers from truck-based to car-based vehicles would reduce fuel use and greenhouse gas emissions, while improving societal safety. Copyright © 2013 Elsevier Ltd. All rights reserved.

Partial Least Squares for Discrimination in fMRI Data

PubMed Central

Andersen, Anders H.; Rayens, William S.; Liu, Yushu; Smith, Charles D.

2011-01-01

Multivariate methods for discrimination were used in the comparison of brain activation patterns between groups of cognitively normal women who are at either high or low Alzheimer's disease risk based on family history and apolipoprotein-E4 status. Linear discriminant analysis (LDA) was preceded by dimension reduction using either principal component analysis (PCA), partial least squares (PLS), or a new oriented partial least squares (OrPLS) method. The aim was to identify a spatial pattern of functionally connected brain regions that was differentially expressed by the risk groups and yielded optimal classification accuracy. Multivariate dimension reduction is required prior to LDA when the data contains more feature variables than there are observations on individual subjects. Whereas PCA has been commonly used to identify covariance patterns in neuroimaging data, this approach only identifies gross variability and is not capable of distinguishing among-groups from within-groups variability. PLS and OrPLS provide a more focused dimension reduction by incorporating information on class structure and therefore lead to more parsimonious models for discrimination. Performance was evaluated in terms of the cross-validated misclassification rates. The results support the potential of using fMRI as an imaging biomarker or diagnostic tool to discriminate individuals with disease or high risk. PMID:22227352

Resilience and disaster risk reduction: an etymological journey

NASA Astrophysics Data System (ADS)

Alexander, D. E.

2013-11-01

This paper examines the development over historical time of the meaning and uses of the term resilience. The objective is to deepen our understanding of how the term came to be adopted in disaster risk reduction and resolve some of the conflicts and controversies that have arisen when it has been used. The paper traces the development of resilience through the sciences, humanities, and legal and political spheres. It considers how mechanics passed the word to ecology and psychology, and how from there it was adopted by social research and sustainability science. As other authors have noted, as a concept, resilience involves some potentially serious conflicts or contradictions, for example between stability and dynamism, or between dynamic equilibrium (homeostasis) and evolution. Moreover, although the resilience concept works quite well within the confines of general systems theory, in situations in which a systems formulation inhibits rather than fosters explanation, a different interpretation of the term is warranted. This may be the case for disaster risk reduction, which involves transformation rather than preservation of the "state of the system". The article concludes that the modern conception of resilience derives benefit from a rich history of meanings and applications, but that it is dangerous - or at least potentially disappointing - to read to much into the term as a model and a paradigm.

Pathway from child sexual and physical abuse to risky sex among emerging adults: the role of trauma-related intrusions and alcohol problems.

PubMed

Walsh, Kate; Latzman, Natasha E; Latzman, Robert D

2014-04-01

Some evidence suggests that risk reduction programming for sexual risk behaviors (SRB) has been minimally effective, which emphasized the need for research on etiological and mechanistic factors that can be addressed in prevention and intervention programming. Childhood sexual and physical abuse have been linked with SRB among older adolescents and emerging adults; however, pathways to SRB remain unclear. This study adds to the literature by testing a model specifying that traumatic intrusions after early abuse may increase risk for alcohol problems, which in turn may increase the likelihood of engaging in various types of SRB. Participants were 1,169 racially diverse college students (72.9% female, 37.6% black/African-American, and 33.6% white) who completed anonymous questionnaires assessing child abuse, traumatic intrusions, alcohol problems, and sexual risk behavior. The hypothesized path model specifying that traumatic intrusions and alcohol problems account for associations between child abuse and several aspects of SRB was a good fit for the data; however, for men, stronger associations emerged between physical abuse and traumatic intrusions and between traumatic intrusions and alcohol problems, whereas for women, alcohol problems were more strongly associated with intent to engage in risky sex. Findings highlight the role of traumatic intrusions and alcohol problems in explaining paths from childhood abuse to SRB in emerging adulthood, and suggest that risk reduction programs may benefit from an integrated focus on traumatic intrusions, alcohol problems, and SRB for individuals with abuse experiences. Copyright © 2014 Society for Adolescent Health and Medicine. All rights reserved.

Quantifying policy options for reducing future coronary heart disease mortality in England: a modelling study.

PubMed

Scholes, Shaun; Bajekal, Madhavi; Norman, Paul; O'Flaherty, Martin; Hawkins, Nathaniel; Kivimäki, Mika; Capewell, Simon; Raine, Rosalind

2013-01-01

To estimate the number of coronary heart disease (CHD) deaths potentially preventable in England in 2020 comparing four risk factor change scenarios. Using 2007 as baseline, the IMPACTSEC model was extended to estimate the potential number of CHD deaths preventable in England in 2020 by age, gender and Index of Multiple Deprivation 2007 quintiles given four risk factor change scenarios: (a) assuming recent trends will continue; (b) assuming optimal but feasible levels already achieved elsewhere; (c) an intermediate point, halfway between current and optimal levels; and (d) assuming plateauing or worsening levels, the worst case scenario. These four scenarios were compared to the baseline scenario with both risk factors and CHD mortality rates remaining at 2007 levels. This would result in approximately 97,000 CHD deaths in 2020. Assuming recent trends will continue would avert approximately 22,640 deaths (95% uncertainty interval: 20,390-24,980). There would be some 39,720 (37,120-41,900) fewer deaths in 2020 with optimal risk factor levels and 22,330 fewer (19,850-24,300) in the intermediate scenario. In the worst case scenario, 16,170 additional deaths (13,880-18,420) would occur. If optimal risk factor levels were achieved, the gap in CHD rates between the most and least deprived areas would halve with falls in systolic blood pressure, physical inactivity and total cholesterol providing the largest contributions to mortality gains. CHD mortality reductions of up to 45%, accompanied by significant reductions in area deprivation mortality disparities, would be possible by implementing optimal preventive policies.

Risk assessment and management of brucellosis in the southern greater Yellowstone area (II): Cost-benefit analysis of reducing elk brucellosis prevalence.

PubMed

Boroff, Kari; Kauffman, Mandy; Peck, Dannele; Maichak, Eric; Scurlock, Brandon; Schumaker, Brant

2016-11-01

Recent cases of bovine brucellosis (Brucella abortus) in cattle (Bos taurus) and domestic bison (Bison bison) of the southern Greater Yellowstone Area (SGYA) have been traced back to free-ranging elk (Cervus elaphus). Several management activities have been implemented to reduce brucellosis seroprevalence in elk, including test-and-slaughter, low-density feeding at elk winter feedgrounds, and elk vaccination. It is unclear which of these activities are most cost-effective at reducing the risk of elk transmitting brucellosis to cattle. In a companion paper, a stochastic risk model was used to translate a reduction in elk seroprevalence to a reduction in the risk of transmission to cattle. Here, we use those results to estimate the expected economic benefits and costs of reducing seroprevalence in elk using three different management activities: vaccination of elk with Brucella strain 19 (S19), low-density feeding of elk, and elk test-and-slaughter. Results indicate that the three elk management activities yield negative expected net benefits, ranging from -$2983 per year for low-density feeding to -$595,471 per year for test-and-slaughter. Society's risk preferences will determine whether strategies that generate small negative net benefit, such as low-density feeding, are worth implementing. However, activities with large negative net benefits, such as test-and-slaughter and S19 vaccination, are unlikely to be economically worthwhile. Given uncertainty about various model parameters, we identify some circumstances in which individual management activities might generate positive expected net benefit. Copyright © 2016 Elsevier B.V. All rights reserved.

Full-face motorcycle helmet protection from facial impacts: an investigation using THOR dummy impacts and SIMon finite element head model.

PubMed

Whyte, Thomas; Gibson, Tom; Eager, David; Milthorpe, Bruce

2017-06-01

Facial impacts are both common and injurious for helmeted motorcyclists who crash; however, there is no facial impact requirement in major motorcycle helmet standards. This study examined the effect of full-face motorcycle helmet protection on brain injury risk in facial impacts using a test device with biofidelic head and neck motion. A preliminary investigation of energy absorbing foam in the helmet chin bar was carried out. Flat-faced rigid pendulum impacts were performed on a THOR dummy in an unprotected (no helmet) and protected mode (two full-face helmet conditions). The head responses of the dummy were input into the simulated injury monitor finite element head model to analyse the risk of brain injury in these impacts. Full-face helmet protection provides a significant reduction in brain injury risk in facial impacts at increasing impact speeds compared with an unprotected rider (p<0.05). The effect of low-density crushable foam added to the chin bar could not be distinguished from an unpadded chin bar impact. Despite the lack of an impact attenuation requirement for the face, full-face helmets do provide a reduction in head injury risk to the wearer in facial impacts. The specific helmet design factors that influence head injury risk in facial impacts need further investigation if improved protection for helmeted motorcyclists is to be achieved. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.