Krueger, Paul; Brazil, Kevin; Lohfeld, Lynne; Edward, H Gayle; Lewis, David; Tjam, Erin
2002-03-25
Organizational features can affect how staff view their quality of work life. Determining staff perceptions about quality of work life is an important consideration for employers interested in improving employee job satisfaction. The purpose of this study was to identify organization specific predictors of job satisfaction within a health care system that consisted of six independent health care organizations. 5,486 full, part and causal time (non-physician) staff on active payroll within six organizations (2 community hospitals, 1 community hospital/long-term care facility, 1 long-term care facility, 1 tertiary care/community health centre, and 1 visiting nursing agency) located in five communities in Central West Ontario, Canada were asked to complete a 65-item quality of work life survey. The self-administered questionnaires collected staff perceptions of: co-worker and supervisor support; teamwork and communication; job demands and decision authority; organization characteristics; patient/resident care; compensation and benefits; staff training and development; and impressions of the organization. Socio-demographic data were also collected. Depending on the organization, between 15 and 30 (of the 40 potential predictor) variables were found to be statistically associated with job satisfaction (univariate analyses). Logistic regression analyses identified the best predictors of job satisfaction and these are presented for each of the six organizations and for all organizations combined. The findings indicate that job satisfaction is a multidimensional construct and although there appear to be some commonalities across organizations, some predictors of job satisfaction appear to be organization and context specific.
Krueger, Paul; Brazil, Kevin; Lohfeld, Lynne; Edward, H Gayle; Lewis, David; Tjam, Erin
2002-01-01
Background Organizational features can affect how staff view their quality of work life. Determining staff perceptions about quality of work life is an important consideration for employers interested in improving employee job satisfaction. The purpose of this study was to identify organization specific predictors of job satisfaction within a health care system that consisted of six independent health care organizations. Methods 5,486 full, part and causal time (non-physician) staff on active payroll within six organizations (2 community hospitals, 1 community hospital/long-term care facility, 1 long-term care facility, 1 tertiary care/community health centre, and 1 visiting nursing agency) located in five communities in Central West Ontario, Canada were asked to complete a 65-item quality of work life survey. The self-administered questionnaires collected staff perceptions of: co-worker and supervisor support; teamwork and communication; job demands and decision authority; organization characteristics; patient/resident care; compensation and benefits; staff training and development; and impressions of the organization. Socio-demographic data were also collected. Results Depending on the organization, between 15 and 30 (of the 40 potential predictor) variables were found to be statistically associated with job satisfaction (univariate analyses). Logistic regression analyses identified the best predictors of job satisfaction and these are presented for each of the six organizations and for all organizations combined. Conclusions The findings indicate that job satisfaction is a multidimensional construct and although there appear to be some commonalities across organizations, some predictors of job satisfaction appear to be organization and context specific. PMID:11914162
Schmidt, Johannes; Glaser, Bruno
2016-01-01
Tropical forests are significant carbon sinks and their soils’ carbon storage potential is immense. However, little is known about the soil organic carbon (SOC) stocks of tropical mountain areas whose complex soil-landscape and difficult accessibility pose a challenge to spatial analysis. The choice of methodology for spatial prediction is of high importance to improve the expected poor model results in case of low predictor-response correlations. Four aspects were considered to improve model performance in predicting SOC stocks of the organic layer of a tropical mountain forest landscape: Different spatial predictor settings, predictor selection strategies, various machine learning algorithms and model tuning. Five machine learning algorithms: random forests, artificial neural networks, multivariate adaptive regression splines, boosted regression trees and support vector machines were trained and tuned to predict SOC stocks from predictors derived from a digital elevation model and satellite image. Topographical predictors were calculated with a GIS search radius of 45 to 615 m. Finally, three predictor selection strategies were applied to the total set of 236 predictors. All machine learning algorithms—including the model tuning and predictor selection—were compared via five repetitions of a tenfold cross-validation. The boosted regression tree algorithm resulted in the overall best model. SOC stocks ranged between 0.2 to 17.7 kg m-2, displaying a huge variability with diffuse insolation and curvatures of different scale guiding the spatial pattern. Predictor selection and model tuning improved the models’ predictive performance in all five machine learning algorithms. The rather low number of selected predictors favours forward compared to backward selection procedures. Choosing predictors due to their indiviual performance was vanquished by the two procedures which accounted for predictor interaction. PMID:27128736
Ließ, Mareike; Schmidt, Johannes; Glaser, Bruno
2016-01-01
Tropical forests are significant carbon sinks and their soils' carbon storage potential is immense. However, little is known about the soil organic carbon (SOC) stocks of tropical mountain areas whose complex soil-landscape and difficult accessibility pose a challenge to spatial analysis. The choice of methodology for spatial prediction is of high importance to improve the expected poor model results in case of low predictor-response correlations. Four aspects were considered to improve model performance in predicting SOC stocks of the organic layer of a tropical mountain forest landscape: Different spatial predictor settings, predictor selection strategies, various machine learning algorithms and model tuning. Five machine learning algorithms: random forests, artificial neural networks, multivariate adaptive regression splines, boosted regression trees and support vector machines were trained and tuned to predict SOC stocks from predictors derived from a digital elevation model and satellite image. Topographical predictors were calculated with a GIS search radius of 45 to 615 m. Finally, three predictor selection strategies were applied to the total set of 236 predictors. All machine learning algorithms-including the model tuning and predictor selection-were compared via five repetitions of a tenfold cross-validation. The boosted regression tree algorithm resulted in the overall best model. SOC stocks ranged between 0.2 to 17.7 kg m-2, displaying a huge variability with diffuse insolation and curvatures of different scale guiding the spatial pattern. Predictor selection and model tuning improved the models' predictive performance in all five machine learning algorithms. The rather low number of selected predictors favours forward compared to backward selection procedures. Choosing predictors due to their indiviual performance was vanquished by the two procedures which accounted for predictor interaction.
Capitanio, Umberto; Abdollah, Firas; Matloob, Rayan; Salonia, Andrea; Suardi, Nazareno; Briganti, Alberto; Carenzi, Cristina; Rigatti, Patrizio; Montorsi, Francesco; Bertini, Roberto
2013-06-01
To test whether the combination of number and location of distant metastases affects cancer-specific survival in patients with metastatic renal cell carcinoma. Overall, 242 metastatic renal cell carcinoma patients with synchronous metastases at diagnosis underwent cytoreductive nephrectomy at a single institution. Combinations of number and location of distant metastases were coded as: single metastasis and single organ affected, multiple metastases and single organ affected, single metastasis for each of the multiple organs affected, and multiple metastases for each of the multiple organs affected. Covariates included age, symptoms, performance status, American Society of Anesthesiologists score, hemoglobin, lactate dehydrogenase, tumor size, Fuhrman grade, T stage, lymph node status, necrosis, sarcomatoid features and metastasectomy at the time of nephrectomy. The median survival was 34.7 versus 32.3 versus 29.6 versus 8.5 months for single metastasis and single organ affected, multiple metastases and single organ affected single metastasis for each of the multiple organs affected, and multiple metastases for each of the multiple organs affected patients, respectively. At multivariable analyses, the combination of number and location of distant metastases resulted in one of the most informative and independent predictors of cancer-specific survival in metastatic renal cell carcinoma patients. The lung was the location with the highest rate of single organ affected (50.3% vs 35.1% in other sites; P < 0.001). Considering only patients with a single metastasis, no statistically significantly different cancer-specific survival rates were recorded (P > 0.3) among different metastatic organs. Among metastatic renal cell carcinoma patients undergoing cytoreductive nephrectomy, the combination of the number and location of distant metastases is a major independent predictor of cancer-specific survival. Patients with multiple organs affected by multifocal disease are more likely to have poorer survival. © 2012 The Japanese Urological Association.
NASA Astrophysics Data System (ADS)
Lombardo, Luigi; Saia, Sergio; Schillaci, Calogero; Mai, P. Martin; Huser, Raphaël
2018-05-01
Soil Organic Carbon (SOC) estimation is crucial to manage both natural and anthropic ecosystems and has recently been put under the magnifying glass after the Paris agreement 2016 due to its relationship with greenhouse gas. Statistical applications have dominated the SOC stock mapping at regional scale so far. However, the community has hardly ever attempted to implement Quantile Regression (QR) to spatially predict the SOC distribution. In this contribution, we test QR to estimate SOC stock (0-30 $cm$ depth) in the agricultural areas of a highly variable semi-arid region (Sicily, Italy, around 25,000 $km2$) by using topographic and remotely sensed predictors. We also compare the results with those from available SOC stock measurement. The QR models produced robust performances and allowed to recognize dominant effects among the predictors with respect to the considered quantile. This information, currently lacking, suggests that QR can discern predictor influences on SOC stock at specific sub-domains of each predictors. In this work, the predictive map generated at the median shows lower errors than those of the Joint Research Centre and International Soil Reference, and Information Centre benchmarks. The results suggest the use of QR as a comprehensive and effective method to map SOC using legacy data in agro-ecosystems. The R code scripted in this study for QR is included.
Predictors of organ donation behavior among Hispanic Americans.
Alvaro, Eusebio M; Jones, Sara Pace; Robles, Antonio Santa Maria; Siegel, Jason T
2005-06-01
Hispanic Americans have a substantial need for organ transplants and are underrepresented among organ donors, yet little is known about predictors of organ donation outcomes in this population. To assess factors that may function as significant predictors of organ donation behavior among Hispanic Americans. A random-digit-dial computer-assisted telephone-interview survey. Setting-Pima and Maricopa counties in Arizona. 1200 Hispanic Americans. Family discussion of organ donation and willingness to be an organ donor. Significant predictors of family discussion of organ donation include knowing someone willing to be an organ donor and disagreeing that carrying a donor card results in inadequate medical care. Willingness to be a donor is also predictive of family discussion. Significant predictors of willingness to be an organ donor are knowing someone willing to be an organ donor, being female, and disagreeing that thoughts about donation leads to thoughts about one's own mortality. Having a family discussion about organ donation is also predictive of willingness to be an organ donor. The data provide a springboard for larger studies encompassing the diversity and geographical dispersion of Hispanic Americans. The data also highlight the importance of educational efforts to make Hispanic Americans aware of people in their community who have donated in the past or who are now potential donors.
Hospital management training and improvement in managerial skills: Serbian experience.
Supic, Zorica Terzic; Bjegovic, Vesna; Marinkovic, Jelena; Milicevic, Milena Santric; Vasic, Vladimir
2010-06-01
The purpose of this study was to analyze the improvement of managerial skills of hospitals' top managers after a specific management training programme, and to explore possible predictors and relations. The study was conducted during the years 2006 and 2007 with cohort of 107 managers from 20 Serbian general hospitals. The managers self-assessed the improvement in their managerial skills before and after the training programme. After the training programme, all managers' skills had improved. The biggest improvement was in the following skills: organizing daily activities, motivating and guiding others, supervising the work of others, group discussion, and situation analysis. The least improved were: applying creative techniques, working well with peers, professional self-development, written communication, and operational planning. Identified predictors of improvement were: shorter years of managerial experience, type of manager, type of profession, and recognizing the importance of the managerial skills in oral communication, evidence-based decision making, and supervising the work of others. Specific training programme related to strategic management can increase managerial competencies, which are an important source of competitive advantage for organizations. Copyright (c) 2010 Elsevier Ireland Ltd. All rights reserved.
Individualism/collectivism and organizational citizenship behavior.
Dávila de León, María Celeste; Finkelstein, Marcia A
2011-08-01
Organizational citizenship behaviors (OCB) are workplace activities that exceed an employee's formal job requirements and contribute to the effective functioning of the organization. We explored the roles of the dispositional traits of individualism and collectivism in the prediction of OCB. The relationship was examined in the context of other constructs known to influence OCB, specifically, motives and identity as an organizational citizen. A total of 367 employees in 24 organizations completed surveys measuring individualism/collectivism, OCB motives, strength of organizational citizen role identity, and amount of OCB. The results showed collectivism to be a significant predictor of Organizational Concern and Prosocial Values motives, role identity, and OCB. Individualism predicted Impression Management motives and was a significant negative predictor of a role identity as one who helps others. The findings are discussed with regard to previous research in OCB.
Phillips, Bradley; Turco, Lauren; McDonald, Dan; Mause, Alison; Walters, Ryan W
2017-11-01
Despite wide belief that the duodenal Organ Injury Scale has been validated, this has not been reported in the published literature. Based on clinical experience, we hypothesize that the American Association for Surgery of Trauma Organ Injury Scale (AAST-OIS) for duodenal injuries can independently predict mortality. Our objectives were threefold: (1) describe the national profile of penetrating duodenal injuries, (2) identify predictors of morbidity and mortality, and (3) validate the duodenum AAST-OIS as a statistically significant predictor of mortality. Using the Abbreviated Injury Scale 2005 and International Classification of Diseases-9th Rev.-Clinical Modification (ICD-9-CM) E-codes, we identified 879 penetrating duodenal trauma patients from the National Trauma Data Bank between 2010 and 2014. We controlled patient-level covariates of age, biological sex, systolic blood pressure (SBP), Glasgow Coma Scale (GCS) score, pulse, Injury Severity Score (ISS), and Organ Injury Scale (OIS) grade. We estimated multivariable generalized linear mixed models to account for the nesting of patients within trauma centers. Our results indicated an overall mortality rate of 14.4%. Approximately 10% of patients died within 24 hours of admission, of whom 76% died in the first 6 hours. Patients averaged approximately five associated injuries, 45% of which involved the liver and colon. Statistically significant independent predictors of mortality were firearm mechanism, SBP, GCS, pulse, ISS, and AAST-OIS grade. Specifically, odds of death were decreased with 10 mm Hg higher admission SBP (13% decreased odds), one point higher GCS (14.4%), 10-beat lower pulse (8.2%), and 10-point lower ISS (51.0%). This study is the first to report the national profile of penetrating duodenal injuries. Using the National Trauma Data Bank, we identified patterns of injury, predictors of outcome, and validated the AAST-OIS for duodenal injuries as a statistically significant predictor of morbidity and mortality. Epidemiologic/Prognostic, level IV.
Casini, Annalisa; Clays, Els; Godin, Isabelle; De Backer, Guy; Kornitzer, Marcel; Kittel, France
2010-12-01
To evaluate (1) whether the physical and mental health of male workers differs from that of female workers, and, if so, whether (2) this is affected by the interplay between work and nonwork burden. We pooled two large Belgian databases (BELSTRESS III, SOMSTRESS) comprising data on 4810 (2847 women). Gender-specific logistic regressions were performed using a four-level variable as predictor. This combined two predictors: isolated job strain (isostrain) and home-work interference (HWI). Male workers are at greater risk of chronic fatigue when they experience high isostrain but not high HWI. Although accumulated high isostrain and high HWI affect women mainly via chronic fatigue, the same pattern has a greater impact on men's perceived health. There was no difference for the other patterns. To improve workers' well-being, organizations should develop work and nonwork balance policies specific for men and women.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Sahbaee, Pooyan, E-mail: psahbae@ncsu.edu; Segars, W. Paul; Samei, Ehsan
2014-07-15
Purpose: This study aimed to provide a comprehensive patient-specific organ dose estimation across a multiplicity of computed tomography (CT) examination protocols. Methods: A validated Monte Carlo program was employed to model a common CT system (LightSpeed VCT, GE Healthcare). The organ and effective doses were estimated from 13 commonly used body and neurological CT examination. The dose estimation was performed on 58 adult computational extended cardiac-torso phantoms (35 male, 23 female, mean age 51.5 years, mean weight 80.2 kg). The organ dose normalized by CTDI{sub vol} (h factor) and effective dose normalized by the dose length product (DLP) (k factor)more » were calculated from the results. A mathematical model was derived for the correlation between the h and k factors with the patient size across the protocols. Based on this mathematical model, a dose estimation iPhone operating system application was designed and developed to be used as a tool to estimate dose to the patients for a variety of routinely used CT examinations. Results: The organ dose results across all the protocols showed an exponential decrease with patient body size. The correlation was generally strong for the organs which were fully or partially located inside the scan coverage (Pearson sample correlation coefficient (r) of 0.49). The correlation was weaker for organs outside the scan coverage for which distance between the organ and the irradiation area was a stronger predictor of dose to the organ. For body protocols, the effective dose before and after normalization by DLP decreased exponentially with increasing patient's body diameter (r > 0.85). The exponential relationship between effective dose and patient's body diameter was significantly weaker for neurological protocols (r < 0.41), where the trunk length was a slightly stronger predictor of effective dose (0.15 < r < 0.46). Conclusions: While the most accurate estimation of a patient dose requires specific modeling of the patient anatomy, a first order approximation of organ and effective doses from routine CT scan protocols can be reasonably estimated using size specific factors. Estimation accuracy is generally poor for organ outside the scan range and for neurological protocols. The dose calculator designed in this study can be used to conveniently estimate and report the dose values for a patient across a multiplicity of CT scan protocols.« less
Sex-specific predictors of inpatient rehabilitation outcomes after traumatic brain injury
Chan, Vincy; Mollayeva, Tatyana; Ottenbacher, Kenneth J.; Colantonio, Angela
2016-01-01
Objective To identify sex-specific predictors of inpatient rehabilitation outcomes among patients with a traumatic brain injury (TBI) from a population based perspective. Design Retrospective cohort study Setting Ontario, Canada Participants Patients in inpatient rehabilitation for a TBI within one year of acute care discharge between 2008/09 and 2011/12 (N=1,730, 70% male, 30% female). Interventions None Main Outcome Measures Inpatient rehabilitation length of stay, total Functional Independence Measure (FIM™) score, and motor and cognitive FIM™ ratings at discharge. Results Sex, as a covariate in multivariable linear regression models, was not a significant predictor of rehabilitation outcomes. While many of the predictors examined were similar across males and females, sex-specific multivariable models identified some predictors of rehabilitation outcome that are specific for males and females; mechanism of injury (p<.0001) was a significant predictor of functional outcome only among females while comorbidities (p<.0001) was a significant predictor for males only. Conclusions Predictors of outcomes after inpatient rehabilitation differed by sex, providing evidence for a sex-specific approach in planning and resource allocation for inpatient rehabilitation services for patients with TBI. PMID:26836952
Sex-Specific Predictors of Inpatient Rehabilitation Outcomes After Traumatic Brain Injury.
Chan, Vincy; Mollayeva, Tatyana; Ottenbacher, Kenneth J; Colantonio, Angela
2016-05-01
To identify sex-specific predictors of inpatient rehabilitation outcomes among patients with a traumatic brain injury (TBI) from a population-based perspective. Retrospective cohort study. Inpatient rehabilitation. Patients in inpatient rehabilitation for a TBI within 1 year of acute care discharge between 2008/2009 and 2011/2012 (N=1730, 70% men, 30% women). None. Inpatient rehabilitation length of stay, total FIM score, and motor and cognitive FIM ratings at discharge. Sex, as a covariate in multivariable linear regression models, was not a significant predictor of rehabilitation outcomes. Although many of the predictors examined were similar across men and women, sex-specific multivariable models identified some predictors of rehabilitation outcome that are specific for men and women; mechanism of injury (P<.0001) was a significant predictor of functional outcome only among women, whereas comorbidities (P<.0001) was a significant predictor for men only. Predictors of outcomes after inpatient rehabilitation differed by sex, providing evidence for a sex-specific approach in planning and resource allocation for inpatient rehabilitation services for patients with TBI. Copyright © 2016 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.
Weishaar, J.L.; Aiken, George R.; Bergamaschi, Brian A.; Fram, Miranda S.; Fujii, Roger; Mopper, K.
2003-01-01
Specific UV absorbance (SUVA) is defined as the UV absorbance of a water sample at a given wavelength normalized for dissolved organic carbon (DOC) concentration. Our data indicate that SUVA, determined at 254 nm, is strongly correlated with percent aromaticity as determined by 13C NMR for 13 organic matter isolates obtained from a variety of aquatic environments. SUVA, therefore, is shown to be a useful parameter for estimating the dissolved aromatic carbon content in aquatic systems. Experiments involving the reactivity of DOC with chlorine and tetramethylammonium hydroxide (TMAH), however, show a wide range of reactivity for samples with similar SUVA values. These results indicate that, while SUVA measurements are good predictors of general chemical characteristics of DOC, they do not provide information about reactivity of DOC derived from different types of source materials. Sample pH, nitrate, and iron were found to influence SUVA measurements.
Aircrew Availability: Modeling Predictors of Duties Not Including Flying Status
2017-07-25
International Classification of Diseases , Ninth Revision, Clinical Modification (ICD-9-CM) diagnosis codes, were obtained from ASIMS. Participant age...diagnosis category,b no. (%): Diseases of the respiratory system 104,637 (26.83) DoD specific: education or counseling 48,117 (12.34... Diseases of the digestive system 31,177 (7.99) Diseases of the nervous system and sense organs 30,625 (7.85) Symptoms; signs, ill-defined
Stendahl, Johan; Berg, Björn; Lindahl, Björn D
2017-11-14
Carbon sequestration below ground depends on organic matter input and decomposition, but regulatory bottlenecks remain unclear. The relative importance of plant production, climate and edaphic factors has to be elucidated to better predict carbon storage in forests. In Swedish forest soil inventory data from across the entire boreal latitudinal range (n = 2378), the concentration of exchangeable manganese was singled out as the strongest predictor (R 2 = 0.26) of carbon storage in the extensive organic horizon (mor layer), which accounts for one third of the total below ground carbon. In comparison, established ecosystem models applied on the same data have failed to predict carbon stocks (R 2 < 0.05), and in our study manganese availability overshadowed both litter production and climatic factors. We also identified exchangeable potassium as an additional strong predictor, however strongly correlated with manganese. The negative correlation between manganese and carbon highlights the importance of Mn-peroxidases in oxidative decomposition of recalcitrant organic matter. The results support the idea that the fungus-driven decomposition could be a critical factor regulating humus carbon accumulation in boreal forests, as Mn-peroxidases are specifically produced by basidiomycetes.
NASA Astrophysics Data System (ADS)
Bechtold, M.; Tiemeyer, B.; Laggner, A.; Leppelt, T.; Frahm, E.; Belting, S.
2014-04-01
Fluxes of the three main greenhouse gases (GHG) CO2, CH4 and N2O from peat and other organic soils are strongly controlled by water table depth. Information about the spatial distribution of water level is thus a crucial input parameter when upscaling GHG emissions to large scales. Here, we investigate the potential of statistical modeling for the regionalization of water levels in organic soils when data covers only a small fraction of the peatlands of the final map. Our study area is Germany. Phreatic water level data from 53 peatlands in Germany were compiled in a new dataset comprising 1094 dip wells and 7155 years of data. For each dip well, numerous possible predictor variables were determined using nationally available data sources, which included information about land cover, ditch network, protected areas, topography, peatland characteristics and climatic boundary conditions. We applied boosted regression trees to identify dependencies between predictor variables and dip well specific long-term annual mean water level (WL) as well as a transformed form of it (WLt). The latter was obtained by assuming a hypothetical GHG transfer function and is linearly related to GHG emissions. Our results demonstrate that model calibration on WLt is superior. It increases the explained variance of the water level in the sensitive range for GHG emissions and avoids model bias in subsequent GHG upscaling. The final model explained 45% of WLt variance and was built on nine predictor variables that are based on information about land cover, peatland characteristics, drainage network, topography and climatic boundary conditions. Their individual effects on WLt and the observed parameter interactions provide insights into natural and anthropogenic boundary conditions that control water levels in organic soils. Our study also demonstrates that a large fraction of the observed WLt variance cannot be explained by nationally available predictor variables and that predictors with stronger WLt indication, relying e.g. on detailed water management maps and remote sensing products, are needed to substantially improve model predictive performance.
NASA Astrophysics Data System (ADS)
Bechtold, M.; Tiemeyer, B.; Laggner, A.; Leppelt, T.; Frahm, E.; Belting, S.
2014-09-01
Fluxes of the three main greenhouse gases (GHG) CO2, CH4 and N2O from peat and other soils with high organic carbon contents are strongly controlled by water table depth. Information about the spatial distribution of water level is thus a crucial input parameter when upscaling GHG emissions to large scales. Here, we investigate the potential of statistical modeling for the regionalization of water levels in organic soils when data covers only a small fraction of the peatlands of the final map. Our study area is Germany. Phreatic water level data from 53 peatlands in Germany were compiled in a new data set comprising 1094 dip wells and 7155 years of data. For each dip well, numerous possible predictor variables were determined using nationally available data sources, which included information about land cover, ditch network, protected areas, topography, peatland characteristics and climatic boundary conditions. We applied boosted regression trees to identify dependencies between predictor variables and dip-well-specific long-term annual mean water level (WL) as well as a transformed form (WLt). The latter was obtained by assuming a hypothetical GHG transfer function and is linearly related to GHG emissions. Our results demonstrate that model calibration on WLt is superior. It increases the explained variance of the water level in the sensitive range for GHG emissions and avoids model bias in subsequent GHG upscaling. The final model explained 45% of WLt variance and was built on nine predictor variables that are based on information about land cover, peatland characteristics, drainage network, topography and climatic boundary conditions. Their individual effects on WLt and the observed parameter interactions provide insight into natural and anthropogenic boundary conditions that control water levels in organic soils. Our study also demonstrates that a large fraction of the observed WLt variance cannot be explained by nationally available predictor variables and that predictors with stronger WLt indication, relying, for example, on detailed water management maps and remote sensing products, are needed to substantially improve model predictive performance.
Cesium-137 Decorporation Model
2014-10-01
Compartment Transit Times Male Female Mouth 15 sec 15 sec Esophagus 45 sec 45 sec Stomach 75 min 105 min Small Intestines 4 hr 4 hr Right colon 12...that is commonly used for radiation protection associated with internal hazards and it is also the unit upon which most long-term or cancer incident...Equivalent While it is imperative to understand doses to specific organs for acute effects, most predictors of long-term effects, such as cancer induction
Variable-Domain Functional Regression for Modeling ICU Data.
Gellar, Jonathan E; Colantuoni, Elizabeth; Needham, Dale M; Crainiceanu, Ciprian M
2014-12-01
We introduce a class of scalar-on-function regression models with subject-specific functional predictor domains. The fundamental idea is to consider a bivariate functional parameter that depends both on the functional argument and on the width of the functional predictor domain. Both parametric and nonparametric models are introduced to fit the functional coefficient. The nonparametric model is theoretically and practically invariant to functional support transformation, or support registration. Methods were motivated by and applied to a study of association between daily measures of the Intensive Care Unit (ICU) Sequential Organ Failure Assessment (SOFA) score and two outcomes: in-hospital mortality, and physical impairment at hospital discharge among survivors. Methods are generally applicable to a large number of new studies that record a continuous variables over unequal domains.
Thiamine deficiency in childhood with attention to genetic causes: Survival and outcome predictors.
Ortigoza-Escobar, Juan Darío; Alfadhel, Majid; Molero-Luis, Marta; Darin, Niklas; Spiegel, Ronen; de Coo, Irenaeus F; Gerards, Mike; Taylor, Robert W; Artuch, Rafael; Nashabat, Marwan; Rodríguez-Pombo, Pilar; Tabarki, Brahim; Pérez-Dueñas, Belén
2017-09-01
Primary and secondary conditions leading to thiamine deficiency have overlapping features in children, presenting with acute episodes of encephalopathy, bilateral symmetric brain lesions, and high excretion of organic acids that are specific of thiamine-dependent mitochondrial enzymes, mainly lactate, alpha-ketoglutarate, and branched chain keto-acids. Undiagnosed and untreated thiamine deficiencies are often fatal or lead to severe sequelae. Herein, we describe the clinical and genetic characterization of 79 patients with inherited thiamine defects causing encephalopathy in childhood, identifying outcome predictors in patients with pathogenic SLC19A3 variants, the most common genetic etiology. We propose diagnostic criteria that will aid clinicians to establish a faster and accurate diagnosis so that early vitamin supplementation is considered. Ann Neurol 2017;82:317-330. © 2017 American Neurological Association.
Abdullah, Abu Saleh; Yang, Tingzhong; Beard, Jennifer
2010-05-01
In 2005 China ratified the WHO Framework Convention on Tobacco Control (FCTC) and committed to implement tobacco control legislation and policies. Wide variation in smoking prevalence between men and women in China and the high exposure of women to secondhand smoke suggest that each component of the FCTC should be analyzed from a gender perspective. This study describes women's attitudes toward and predictors of support for four key FCTC measures in China. Cross-sectional data were collected from 1,408 women in two urban cities on demographics, smoking behavior, and attitudes toward key tobacco control measures. Seventy percent of the study women (n = 1,408) were exposed to secondhand smoke at home, work, or other public places. Support for the four FCTC measures of interest was as follows: 92.5% supported banning smoking in public places, 79.2% supported increasing the cigarette tax, 92% supported stronger health warnings on cigarette packages, and 87.1% favored banning tobacco advertising. The predictors for supporting each of these measures included socioeconomic, attitudinal, and behavioral factors. Urban Chinese women appear to support implementation of key WHO FCTC measures. Predictors of women's attitudes toward the key FCTC measures varied. The formulation process resulting from the tobacco control policy should consider these women-specific predictors in order to facilitate successful implementation of FCTC.
Belsante, Michael; Darwish, Oussama; Youssef, Ramy; Bagrodia, Aditya; Kapur, Payal; Sagalowsky, Arthur I; Lotan, Yair; Margulis, Vitaly
2014-01-01
The objective is to evaluate the effect of lymphovascular invasion (LVI) on disease-free survival (DFS) and cancer-specific survival (CSS) in patients with clinically localized clear cell renal cell carcinoma (ccRCC). Patients with ccRCC who were treated surgically in 1997 to 2010 were identified. Retrospective chart review was performed to identify clinical outcomes. Independent pathologic re-review was performed by a single pathologist to confirm LVI status. Pathologic features were correlated with clinical outcomes using Kaplan-Meier and Cox regression analyses. Four hundred and nineteen patients with nonmetastatic ccRCC comprised the study cohort. Three hundred and thirty-three of these patients had an organ-confined (pT1-2, N any, and M0) disease. LVI was present in 14.3% of all nonmetastatic patients. In all patients with nonmetastatic ccRCC, presence of LVI was correlated with significantly shorter DFS (P <0.001) and CSS (P = 0.001) on Kaplan-Meier analysis. In cases of organ-confined, nonmetastatic ccRCC, presence of LVI was a significant predictor of DFS (hazard ratio = 4.0, P = 0.026) and CSS (hazard ratio = 12.7, P = 0.01) on multivariate analysis. Patients with organ-confined RCC who were LVI positive had similar DFS (P = 0.957) and CSS (P = 0.799) to patients with locally advanced tumors (pT3-pT4, N any, and M0) on Kaplan-Meier analysis. The presence of LVI is an independent predictor of both DFS and CSS in organ-confined, nonmetastatic ccRCC. LVI positivity in patients with otherwise pathologically organ-confined ccRCC confers oncologic outcomes similar to those of patients with locally advanced disease. If confirmed by others, future revisions to the tumor-node-metastasis staging system may incorporate LVI status into the prognostic algorithm of patients with RCC. Copyright © 2014 Elsevier Inc. All rights reserved.
Organ-specific antibodies in LADA patients for the prediction of insulin dependence.
Delitala, Alessandro P; Pes, Giovanni M; Fanciulli, Giuseppe; Maioli, Margherita; Secchi, Giannina; Sanciu, Franca; Delitala, Giuseppe; Manetti, Roberto
2016-08-01
The aim of the present study was to define the frequency of organ-specific and non-organ-specific autoantibodies in a cohort of Latent Autoimmune Diabetes in Adults (LADA) patients and to test whether multiple antibodies positivity could be a predictor of early insulin dependence. We enrolled 210 LADA and 210 type 2 diabetes mellitus (T2D) patients. In all subjects anti-islet antigen-2 (IA-2Ab), anti-thyroperoxidase (TPOAb), anti-zinc transporter 8 (ZnT8Ab), anti-nuclear (ANA), anti-parietal cell (APCA), anti-smooth muscle (ASMA), anti-mitochondrial (AMA), anti-liver kidney microsomes (LKM), and anti-reticulin (ARA) circulating antibodies were assessed. The frequency of TPOAb, ZnT8Ab, APCA, and IA-2Ab positivity was, respectively, detected in 40.0%, 32.4%, 24.7%, and 9.5% of LADA patients, whereas their frequency was significantly lower in T2D patients (11.4%, 1.9%, 9.5%, and 0.0%, respectively, p < 0.001). The frequency of ANA was the same in both groups whereas the frequency of ASMA, ARA, AMA, and LKM was very low (range 0.0-3.3%). The presence of TPOAb associated with ZnT8Ab, IA-2Ab, or APCA allows one to predict the progression of disease with a high specificity but low sensibility. LADA patients show an increased frequency of organ- and non-organ-specific antibodies. Consequently, a screening is worthwhile in these patients. The simultaneous presence of TPOAb with ZnT8, IA-2Ab, or APCA may help differentiate clinical phenotypes and predict faster insulin dependence in LADA patients.
Psychological and Social Work Factors as Predictors of Mental Distress: A Prospective Study
Finne, Live Bakke; Christensen, Jan Olav; Knardahl, Stein
2014-01-01
Studies exploring psychological and social work factors in relation to mental health problems (anxiety and depression) have mainly focused on a limited set of exposures. The current study investigated prospectively a broad set of specific psychological and social work factors as predictors of potentially clinically relevant mental distress (anxiety and depression), i.e. “caseness” level of distress. Employees were recruited from 48 Norwegian organizations, representing a wide variety of job types. A total of 3644 employees responded at both baseline and at follow-up two years later. Respondents were distributed across 832 departments within the 48 organizations. Nineteen work factors were measured. Two prospective designs were tested: (i) with baseline predictors and (ii) with average exposure over time ([T1+T2]/2) as predictors. Random intercept logistic regressions were conducted to account for clustering of the data. Baseline “cases” were excluded (n = 432). Age, sex, skill level, and mental distress as a continuous variable at T1 were adjusted for. Fourteen of 19 factors showed some prospective association with mental distress. The most consistent risk factor was role conflict (highest odds ratio [OR] 2.08, 99% confidence interval [CI]: 1.45–3.00). The most consistent protective factors were support from immediate superior (lowest OR 0.56, 99% CI: 0.43–0.72), fair leadership (lowest OR 0.52, 99% CI: 0.40–0.68), and positive challenge (lowest OR 0.60, 99% CI: 0.41–0.86). The present study demonstrated that a broad set of psychological and social work factors predicted mental distress of potential clinical relevance. Some of the most consistent predictors were different from those traditionally studied. This highlights the importance of expanding the range of factors beyond commonly studied concepts like the demand-control model and the effort-reward imbalance model. PMID:25048033
Silverthorne, C; Wang, T H
2001-07-01
The present study was an evaluation of the impact of Taiwanese leadership styles on the productivity of Taiwanese business organizations. Specifically, it looked at the impact that both adaptive and nonadaptive leaders have on 6 measures of productivity: absenteeism, turnover rate, quality of work, reject rates, profitability, and units produced. The results indicated that the greater the level of adaptability, the more productive the organization is likely to be. Although not all of the computed correlations were statistically significant, they were all in the predicted directions. In particular, the findings for units produced and reject rates were consistently statistically significant. The study was also an examination of the usefulness of the Leadership Effectiveness and Adaptability Description (LEAD) questionnaire (P. Hersey & K. Blanchard, 1988), which appeared to be an accurate predictor of adaptability and valid for use in Taiwan. The final part of this study was an investigation of whether successful companies were more likely to have a greater percentage of adaptive leaders than unsuccessful companies. The data supported this expectation, although it is suggested that caution be used in the interpretation of this particular finding because it could have several different explanations. Overall, the evidence supported the value of adaptive leadership styles in high-technology industries in Taiwan.
Experience of Primary Care among Homeless Individuals with Mental Health Conditions
Chrystal, Joya G.; Glover, Dawn L.; Young, Alexander S.; Whelan, Fiona; Austin, Erika L.; Johnson, Nancy K.; Pollio, David E.; Holt, Cheryl L.; Stringfellow, Erin; Gordon, Adam J.; Kim, Theresa A.; Daigle, Shanette G.; Steward, Jocelyn L.; Kertesz, Stefan G
2015-01-01
The delivery of primary care to homeless individuals with mental health conditions presents unique challenges. To inform healthcare improvement, we studied predictors of favorable primary care experience among homeless persons with mental health conditions treated at sites that varied in degree of homeless-specific service tailoring. This was a multi-site, survey-based comparison of primary care experiences at three mainstream primary care clinics of the Veterans Administration (VA), one homeless-tailored VA clinic, and one tailored non-VA healthcare program. Persons who accessed primary care service two or more times from July 2008 through June 2010 (N = 366) were randomly sampled. Predictor variables included patient and organization characteristics suggested by the patient perception model developed by Sofaer and Firminger (2005), with an emphasis on mental health. The primary care experience was assessed with the Primary Care Quality-Homeless (PCQ-H) questionnaire, a validated survey instrument. Multiple regression identified predictors of positive experiences (i.e. higher PCQ-H total score). Significant predictors of a positive experience included a site offering tailored service design, perceived choice among providers, and currently domiciled status. There was an interaction effect between site and severe psychiatric symptoms. For persons with severe psychiatric symptoms, a homeless-tailored service design was significantly associated with a more favorable primary care experience. For persons without severe psychiatric symptoms, this difference was not significant. This study supports the importance of tailored healthcare delivery designed for homeless persons’ needs, with such services potentially holding special relevance for persons with mental health conditions. To improve patient experience among the homeless, organizations may want to deliver services that are tailored to homelessness and offer a choice of providers. PMID:25659142
Experience of primary care among homeless individuals with mental health conditions.
Chrystal, Joya G; Glover, Dawn L; Young, Alexander S; Whelan, Fiona; Austin, Erika L; Johnson, Nancy K; Pollio, David E; Holt, Cheryl L; Stringfellow, Erin; Gordon, Adam J; Kim, Theresa A; Daigle, Shanette G; Steward, Jocelyn L; Kertesz, Stefan G
2015-01-01
The delivery of primary care to homeless individuals with mental health conditions presents unique challenges. To inform healthcare improvement, we studied predictors of favorable primary care experience among homeless persons with mental health conditions treated at sites that varied in degree of homeless-specific service tailoring. This was a multi-site, survey-based comparison of primary care experiences at three mainstream primary care clinics of the Veterans Administration (VA), one homeless-tailored VA clinic, and one tailored non-VA healthcare program. Persons who accessed primary care service two or more times from July 2008 through June 2010 (N = 366) were randomly sampled. Predictor variables included patient and organization characteristics suggested by the patient perception model developed by Sofaer and Firminger (2005), with an emphasis on mental health. The primary care experience was assessed with the Primary Care Quality-Homeless (PCQ-H) questionnaire, a validated survey instrument. Multiple regression identified predictors of positive experiences (i.e. higher PCQ-H total score). Significant predictors of a positive experience included a site offering tailored service design, perceived choice among providers, and currently domiciled status. There was an interaction effect between site and severe psychiatric symptoms. For persons with severe psychiatric symptoms, a homeless-tailored service design was significantly associated with a more favorable primary care experience. For persons without severe psychiatric symptoms, this difference was not significant. This study supports the importance of tailored healthcare delivery designed for homeless persons' needs, with such services potentially holding special relevance for persons with mental health conditions. To improve patient experience among the homeless, organizations may want to deliver services that are tailored to homelessness and offer a choice of providers.
Predictors of Nursing Students' Performance in a One-Semester Organic and Biochemistry Course
NASA Astrophysics Data System (ADS)
van Lanen, Robert J.; Lockie, Nancy M.; McGannon, Thomas
2000-06-01
In an effort to empower nursing students to successfully persist in chemistry, predictors of success for undergraduate nursing students enrolled in a one-semester organic and biochemistry course were identified. The sample consisted of 308 undergraduate nursing students enrolled in Chemistry 108 (Principles of Organic and Biochemistry) during a period of seven semesters. In this study, Supplemental Instruction (SI) is a nonremedial academic support program offered for Chemistry 108 students. Placement tests in Mathematics, Reading, and English are required of all entering students. The English Placement Test assesses proficiency in analytical reading and writing; the Nelson Denny Reading Test (Form E) assesses the student's understanding of written vocabulary and the mastery of reading comprehension, and the Mathematics Placement Test measures the student's mastery of arithmetic and algebraic calculations. Both demographic and academic variables were examined. For the entire sample, five predictor variables were identified: Mathematics Placement Test score, Chemistry 107 grade (a prerequisite), total number of SI sessions attended, Nelson Denny Reading Test (Form E) score, and age. Predictors for various subpopulations of the sample were also identified. Predictors for students of traditional age were Mathematics Placement Test score, total number of SI sessions attended, and Chemistry 107 grade. The best predictors for continuing education students were Chemistry 107 grade and Nelson Denny Test score.
Sprang, Ginny; Craig, Carlton; Clark, James
2011-01-01
This study describes predictors of secondary traumatic stress and burnout in a national sample of helping professionals, with a specific focus on the unique responses of child welfare (CW) workers. Specific worker and exposure characteristics are examined as possible predictors of these forms of occupational distress in a sample of 669 professionals from across the country who responded to mailed (e-mail and post) invitations to participate in an online survey. E-mail and home mailing addresses were secured from licensure boards and professional membership organizations in six states from across the country that had high rates of child related deaths in 2009. Respondents completed the Professional Quality of Life IV (Stamm, 2005) to ascertain compassion fatigue (CF) and burnout symptoms. Being male, young, Hispanic, holding rural residence, and endorsing a lack of religious participation were significant predictors of secondary traumatic stress. Similarly, being male and young predicted high burnout rates, while actively participating in religious services predicted lower burnout. CW worker job status as a professional was significantly more likely to predict CF and burnout compared to all other types of behavioral healthcare professionals. Based on the findings from this study, this paper proposes strategies for enhancing self-care for CW workers, and describes the essential elements of a trauma-informed CW agency that addresses secondary traumatic stress and burnout.
Organized music instruction as a predictor of nursing student success.
Cesario, Sandra K; Cesario, Robert J; Cesario, Anthony R
2013-01-01
Stringent admission criteria exist for nursing programs in the United States, but better predictors of success are needed to reduce student attrition. Research indicates that organized music experiences are associated with greater academic success. This exploratory study examined the association between early music experiences and undergraduate nursing student success. Findings suggest that students with a music background were more likely to graduate, have higher grade point averages, and pass the licensure examination. Previous music education might be considered as an additional predictor of nursing student success.
The power of connections: Psychological sense of community as a predictor of volunteerism.
Omoto, Allen M; Packard, Cody D
2016-01-01
Two studies explored psychological antecedents of volunteerism, including several dispositional constructs and psychological sense of community (PSOC). In Study 1, 140 retirees completed measures of empathy, self-esteem, generativity, and PSOC, as well as involvement in volunteer organizations and weekly volunteering hours at two points in time. PSOC predicted concurrent and future volunteerism even after controlling for the other predictors. In Study 2 (n = 427), PSOC and measures of environmental concern and connectedness were used to predict current environmental volunteerism and activism. PSOC was the only measure reliably and uniquely related to these behaviors. Across two different domains and operationalizations of PSOC, the findings support the validity and utility of PSOC for understanding general and issue-specific volunteerism. More generally, they highlight social relationships and psychological connections as potential pathways to volunteerism and social action.
Diffusion of Impaired Driving Laws Among US States.
Macinko, James; Silver, Diana
2015-09-01
We examined internal and external determinants of state's adoption of impaired driving laws. Data included 7 state-level, evidence-based public health laws collected from 1980 to 2010. We used event history analyses to identify predictors of first-time law adoption and subsequent adoption between state pairs. The independent variables were internal state factors, including the political environment, legislative professionalism, government capacity, state resources, legislative history, and policy-specific risk factors. The external factors were neighboring states' history of law adoption and changes in federal law. We found a strong secular trend toward an increased number of laws over time. The proportion of younger drivers and the presence of a neighboring state with similar laws were the strongest predictors of first-time law adoption. The predictors of subsequent law adoption included neighbor state adoption and previous legislative action. Alcohol laws were negatively associated with first-time adoption of impaired driving laws, suggesting substitution effects among policy choices. Organizations seeking to stimulate state policy changes may need to craft strategies that engage external actors, such as neighboring states, in addition to mobilizing within-state constituencies.
Diffusion of Impaired Driving Laws Among US States
Silver, Diana
2015-01-01
Objectives. We examined internal and external determinants of state’s adoption of impaired driving laws. Methods. Data included 7 state-level, evidence-based public health laws collected from 1980 to 2010. We used event history analyses to identify predictors of first-time law adoption and subsequent adoption between state pairs. The independent variables were internal state factors, including the political environment, legislative professionalism, government capacity, state resources, legislative history, and policy-specific risk factors. The external factors were neighboring states’ history of law adoption and changes in federal law. Results. We found a strong secular trend toward an increased number of laws over time. The proportion of younger drivers and the presence of a neighboring state with similar laws were the strongest predictors of first-time law adoption. The predictors of subsequent law adoption included neighbor state adoption and previous legislative action. Alcohol laws were negatively associated with first-time adoption of impaired driving laws, suggesting substitution effects among policy choices. Conclusions. Organizations seeking to stimulate state policy changes may need to craft strategies that engage external actors, such as neighboring states, in addition to mobilizing within-state constituencies. PMID:26180969
Predictors of Sustainability of Social Programs
ERIC Educational Resources Information Center
Savaya, Riki; Spiro, Shimon E.
2012-01-01
This article presents the findings of a large scale study that tested a comprehensive model of predictors of three manifestations of sustainability: continuation, institutionalization, and duration. Based on the literature the predictors were arrayed in four groups: variables pertaining to the project, the auspice organization, the community, and…
Jeong, Chang Wook; Jeong, Seong Jin; Hong, Sung Kyu; Lee, Seung Bae; Ku, Ja Hyeon; Byun, Seok-Soo; Jeong, Hyeon; Kwak, Cheol; Kim, Hyeon Hoe; Lee, Eunsik; Lee, Sang Eun
2012-09-01
To develop and evaluate nomograms to predict the pathological stage of clinically localized prostate cancer after radical prostatectomy in Korean men. We reviewed the medical records of 2041 patients who had clinical stages T1c-T3a prostate cancer and were treated solely with radical prostatectomy at two hospitals. Logistic regressions were carried out to predict organ-confined disease, extraprostatic extension, seminal vesicle invasion, and lymph node metastasis using preoperative variables and resulting nomograms. Internal validations were assessed using the area under the receiver operating characteristic curve and calibration plot, and then external validations were carried out on 129 patients from another hospital. Head-to-head comparisons with 2007 Partin tables and Cancer of the Prostate Risk Assessment score were carried out using the area under the curve and decision curve analysis. The significant predictors for organ-confined disease and extraprostatic extension were clinical stage, prostate-specific antigen, Gleason score and a percent positive core of biopsy. Significant predictors for seminal vesicle invasion were prostate-specific antigen, Gleason score and percent positive core, and those for lymph node metastasis were prostate-specific antigen and percent positive core. The area under the curve of established nomograms for organ-confined disease, extraprostatic extension, seminal vesicle invasion and lymph node metastasis were 0.809, 0.804, 0.889 and 0.838, respectively. The nomograms were well calibrated and externally validated. These nomograms showed significantly higher accuracies and net benefits than two Western tools in Korean men. This is the first study to have developed and fully validated nomograms to predict the pathological stage of prostate cancer in an Asian population. These nomograms might be more accurate and useful for Korean men than other predictive models developed using Western populations. © 2012 The Japanese Urological Association.
Padial, André A.; Ceschin, Fernanda; Declerck, Steven A. J.; De Meester, Luc; Bonecker, Cláudia C.; Lansac-Tôha, Fabio A.; Rodrigues, Liliana; Rodrigues, Luzia C.; Train, Sueli; Velho, Luiz F. M.; Bini, Luis M.
2014-01-01
Recently, community ecologists are focusing on the relative importance of local environmental factors and proxies to dispersal limitation to explain spatial variation in community structure. Albeit less explored, temporal processes may also be important in explaining species composition variation in metacommunities occupying dynamic systems. We aimed to evaluate the relative role of environmental, spatial and temporal variables on the metacommunity structure of different organism groups in the Upper Paraná River floodplain (Brazil). We used data on macrophytes, fish, benthic macroinvertebrates, zooplankton, periphyton, and phytoplankton collected in up to 36 habitats during a total of eight sampling campaigns over two years. According to variation partitioning results, the importance of predictors varied among biological groups. Spatial predictors were particularly important for organisms with comparatively lower dispersal ability, such as aquatic macrophytes and fish. On the other hand, environmental predictors were particularly important for organisms with high dispersal ability, such as microalgae, indicating the importance of species sorting processes in shaping the community structure of these organisms. The importance of watercourse distances increased when spatial variables were the main predictors of metacommunity structure. The contribution of temporal predictors was low. Our results emphasize the strength of a trait-based analysis and of better defining spatial variables. More importantly, they supported the view that “all-or- nothing” interpretations on the mechanisms structuring metacommunities are rather the exception than the rule. PMID:25340577
Benko, Tamas; Gallinat, Anja; Minor, Thomas; Saner, Fuat H; Sotiropoulos, Georgios C; Paul, Andreas; Hoyer, Dieter P
2017-06-01
Recently, the postoperative Model for End stage Liver Disease score (POPMELD) was suggested as a definition of postoperative graft dysfunction and a predictor of outcome after liver transplantation (LT). The aim of the present study was to validate this concept in the context of extended criteria donor (ECD) organs. Single-center prospectively collected data (OPAL study/01/11-12/13) of 116 ECD LTs were utilized. For each recipient, the Model for End stage Liver Disease (MELD) score was calculated for 7 postoperative days (PODs). The ability of international normalized ratio, bilirubin, aspartate aminotransferase, Donor Risk Index, a recent definition of early allograft dysfunction, and the POPMELD was compared to predict 90-day graft loss. Predictive abilities were compared by receiver operating characteristic curves, sensitivity and specificity, and positive and negative predictive values. The median Donor Risk Index was 1.8. In all, 60.3% of recipients were men [median age of 54 (23-68) years]. The median POD1-7 peak-aspartate aminotransferase value was 1052 (194-17 577) U/l. The rate of early allograft dysfunction was 22.4%. The 90-day graft survival was 89.7%. Out of possible predictors of the 90-day graft loss MELD on POD5 was the best predictor of outcome (area under the curve=0.84). A MELD score of 16 or more on POD5 predicted the 90-day graft loss with a specificity of 80.8%, a sensitivity of 81.8%, and a positive and negative predictive value of 31 and 97.7%. A MELD score of 16 or more on POD5 is an excellent predictor of outcome in ECD donor LT. Routine evaluation of POPMELD scores might support clinical decision-making and should be reported routinely in clinical trials.
Exploring the Predictors of Organizational Preparedness for Natural Disasters.
Sadiq, Abdul-Akeem; Graham, John D
2016-05-01
There is an extensive body of research on the determinants of disaster preparedness at the individual and household levels. The same cannot be said for the organizational level. Hence, the purpose of this study is to shed light on the predictors of organizational preparedness for natural disasters. Since leaders of organizations have an incentive to overstate their level of preparedness and because surveys of organizational leaders suffer from selection bias and low response rates, we take the novel approach of interviewing employees about the organizations that employ them. Using an online survey, we collected information from a national sample of 2,008 U.S. employees and estimated the predictors of preparedness at the organizational level. We find, among other results, that organization size (facility level) is a consistent predictor of preparedness at the organizational level. We conclude with policy recommendations and outline an agenda for future research on organizational preparedness for natural disasters. © 2015 Society for Risk Analysis.
Jeffres, Leo W; Carroll, Jeanine A; Rubenking, Bridget E; Amschlinger, Joe
2008-12-01
Fishbein and Ajzen's theory of reasoned action has been used by many researchers, particularly in regard to health communication, to predict behavioral intentions and behavior. According to that theory, one's intention is the best predictor that one will engage in a behavior, and attitudes and social norms predict behavioral intentions. Other researchers have added different variables to the postulates of attitudes and social norms that Fishbein and Ajzen maintain are the best predictors of behavioral intention. Here we draw on data from a 2006 telephone survey (N = 420) gauging the awareness of an organ donation campaign in Northeast Ohio to examine the impact of communication on people's intentions. The current study supports the hypothesis that those who communicate with others are more likely to express a greater willingness to become an organ donor, but it expands the range of communication contexts. With demographics and attitudes toward organ donation controlled for, this study shows that communication with others about organ donation increases the willingness of individuals to have favorable attitudes about being an organ donor.
Jia, Cangzhi; Yang, Qing; Zou, Quan
2018-04-18
The nucleosome is the basic structure of chromatin in eukaryotic cells, with essential roles in the regulation of many biological processes, such as DNA transcription, replication and repair, and RNA splicing. Because of the importance of nucleosomes, the factors that determine their positioning within genomes should be investigated. High-resolution nucleosome-positioning maps are now available for organisms including Saccharomyces cerevisiae, Drosophila melanogaster and Caenorhabditis elegans, enabling the identification of nucleosome positioning by application of computational tools. Here, we describe a novel predictor called NucPosPred, which was specifically designed for large-scale identification of nucleosome positioning in C. elegans and D. melanogaster genomes. NucPosPred was separately optimized for each species for four types of DNA sequence feature extraction, with consideration of two classification algorithms (gradient-boosting decision tree and support vector machine). The overall accuracy obtained with NucPosPred was 92.29% for C. elegans and 88.26% for D. melanogaster, outperforming previous methods and demonstrating the potential for species-specific prediction of nucleosome positioning. For the convenience of most experimental scientists, a web-server for the predictor NucPosPred is available at http://121.42.167.206/NucPosPred/index.jsp. Copyright © 2018 Elsevier Ltd. All rights reserved.
Yeh, Hsin-Chih; Jan, Hau-Chern; Wu, Wen-Jeng; Li, Ching-Chia; Li, Wei-Ming; Ke, Hung-Lung; Huang, Shu-Pin; Liu, Chia-Chu; Lee, Yung-Chin; Yang, Sheau-Fang; Liang, Peir-In; Huang, Chun-Nung
2015-01-01
To investigate the impact of preoperative hydronephrosis and flank pain on prognosis of patients with upper tract urothelial carcinoma. In total, 472 patients with upper tract urothelial carcinoma managed by radical nephroureterectomy were included from Kaohsiung Medical University Hospital Healthcare System. Clinicopathological data were collected retrospectively for analysis. The significance of hydronephrosis, especially when combined with flank pain, and other relevant factors on overall and cancer-specific survival were evaluated. Of the 472 patients, 292 (62%) had preoperative hydronephrosis and 121 (26%) presented with flank pain. Preoperative hydronephrosis was significantly associated with age, hematuria, flank pain, tumor location, and pathological tumor stage. Concurrent presence of hydronephrosis and flank pain was a significant predictor of non-organ-confined disease (multivariate-adjusted hazard ratio = 2.10, P = 0.025). Kaplan-Meier analysis showed significantly poorer overall and cancer-specific survival in patients with preoperative hydronephrosis (P = 0.005 and P = 0.026, respectively) and in patients with flank pain (P < 0.001 and P = 0.001, respectively) than those without. However, only simultaneous hydronephrosis and flank pain independently predicted adverse outcome (hazard ratio = 1.98, P = 0.016 for overall survival and hazard ratio = 1.87, P = 0.036 for and cancer-specific survival, respectively) in multivariate Cox proportional hazards models. In addition, concurrent presence of hydronephrosis and flank pain was also significantly predictive of worse survival in patient with high grade or muscle-invasive disease. Notably, there was no difference in survival between patients with hydronephrosis but devoid of flank pain and those without hydronephrosis. Concurrent preoperative presence of hydronephrosis and flank pain predicted non-organ-confined status of upper tract urothelial carcinoma. When accompanied with flank pain, hydronephrosis represented an independent predictor for worse outcome in patients with upper tract urothelial carcinoma.
Bolia, Rishi; Srivastava, Anshu; Yachha, Surender Kumar; Poddar, Ujjal
2018-03-01
Early identification of children with decompensated chronic liver disease (DCLD) at risk of short-term mortality helps improve outcome. We aimed to evaluate the predictors of outcome and role of Child-Pugh, pediatric end-stage liver disease (PELD) and pediatric chronic liver failure sequential organ failure assessment (pCLIF-SOFA) score for prognosticating 28-day mortality in children with DCLD. DCLD children were prospectively evaluated with a clinico-laboratory proforma and followed for 28 days to determine outcome. Child-Pugh, PELD and pCLIF-SOFA were calculated at admission. Univariate and multivariate analysis was performed to identify the best predictors of outcome. A total of 110 children (74 boys, 96 [4-204] months) were enrolled and 37 (33.6%) died at 28 days. Significant risk factors for mortality were a higher international normalized ratio (hazard ratio [HR] 1.17; 95% CI 1.04-1.31; p <0.001) and bilirubin (HR 1.04; 95% CI 1.01-1.08; p <0.001), lower albumin (HR 0.46; 95% CI 0.27-0.77; p = 0.03) and sodium (HR 0.93; 95% CI 0.89-0.98; p = 0.01), absence of treatable etiology (HR 2.00; 95% CI 1.40-2.87; p = 0.001) and presence of organ failure (HR 3.22; 95% CI 1.98-10.58; p <0.001). Organ failure and serum sodium were independent predictors of poor outcome on multivariate analysis. pCLIF-SOFA (16 [9-22] vs. 9 [5-15]), Child-Pugh (11 [9-15] vs. 10 [8-14]) and PELD (22.2 [7.5-45.3] vs. 15.3 [4.5-23.9]) scores were significantly higher in non-survivors. The area under the curve was 0.977 for pCLIF-SOFA, 0.815 for Child-Pugh score, and 0.741 for PELD score. A pCLIF-SOFA score of ≥11 identified 28-day mortality with a sensitivity and specificity of 94.9% and 91.5%, respectively. Thirty-four percent of children with DCLD have a poor short-term outcome. Organ failure and low serum sodium are independent predictors of outcome. pCLIF-SOFA performs better than Child-Pugh and PELD in prognostication of 28-day mortality. Our study supports the use of scores based on organ failure in prognosticating children with DCLD. The ability to predict the course of a disease is an important part of the assessment, enabling timely interventions that improve outcomes. We evaluated the outcome (death vs. survival) and compared three different scoring systems for their ability to predict mortality within 28 days in children with decompensated chronic liver disease (DCLD). One-third of children with DCLD died within 28 days and the pediatric chronic liver failure sequential organ failure assessment score, which considers the main organ systems of the body (lungs, liver, brain, kidney, blood and cardiac) fared better for identification of children with a poor outcome than the Child-Pugh and pediatric end-stage liver disease score which comprise of only liver-related parameters. Our study supports the use of scores based on organ failure in prognosticating children with DCLD. Copyright © 2017 European Association for the Study of the Liver. Published by Elsevier B.V. All rights reserved.
Predictors of Service Utilization among Youth Diagnosed with Mood Disorders
ERIC Educational Resources Information Center
Mendenhall, Amy N.
2012-01-01
In this study, I investigated patterns and predictors of service utilization for children with mood disorders. The Behavioral Model for Health Care Utilization was used as an organizing framework for identifying predictors of the number and quality of services utilized. Hierarchical regression was used in secondary data analyses of the…
Read, Emily K; Patil, Vijay P; Oliver, Samantha K; Hetherington, Amy L; Brentrup, Jennifer A; Zwart, Jacob A; Winters, Kirsten M; Corman, Jessica R; Nodine, Emily R; Woolway, R Iestyn; Dugan, Hilary A; Jaimes, Aline; Santoso, Arianto B; Hong, Grace S; Winslow, Luke A; Hanson, Paul C; Weathers, Kathleen C
2015-06-01
Lake water quality is affected by local and regional drivers, including lake physical characteristics, hydrology, landscape position, land cover, land use, geology, and climate. Here, we demonstrate the utility of hypothesis testing within the landscape limnology framework using a random forest algorithm on a national-scale, spatially explicit data set, the United States Environmental Protection Agency's 2007 National Lakes Assessment. For 1026 lakes, we tested the relative importance of water quality drivers across spatial scales, the importance of hydrologic connectivity in mediating water quality drivers, and how the importance of both spatial scale and connectivity differ across response variables for five important in-lake water quality metrics (total phosphorus, total nitrogen, dissolved organic carbon, turbidity, and conductivity). By modeling the effect of water quality predictors at different spatial scales, we found that lake-specific characteristics (e.g., depth, sediment area-to-volume ratio) were important for explaining water quality (54-60% variance explained), and that regionalization schemes were much less effective than lake specific metrics (28-39% variance explained). Basin-scale land use and land cover explained between 45-62% of variance, and forest cover and agricultural land uses were among the most important basin-scale predictors. Water quality drivers did not operate independently; in some cases, hydrologic connectivity (the presence of upstream surface water features) mediated the effect of regional-scale drivers. For example, for water quality in lakes with upstream lakes, regional classification schemes were much less effective predictors than lake-specific variables, in contrast to lakes with no upstream lakes or with no surface inflows. At the scale of the continental United States, conductivity was explained by drivers operating at larger spatial scales than for other water quality responses. The current regulatory practice of using regionalization schemes to guide water quality criteria could be improved by consideration of lake-specific characteristics, which were the most important predictors of water quality at the scale of the continental United States. The spatial extent and high quality of contextual data available for this analysis makes this work an unprecedented application of landscape limnology theory to water quality data. Further, the demonstrated importance of lake morphology over other controls on water quality is relevant to both aquatic scientists and managers.
Langberg, Joshua M; Epstein, Jeffery N; Girio, Erin L; Becker, Stephen P; Vaughn, Aaron J; Altaye, Mekibib
2011-06-01
This study evaluated the homework functioning of middle school students with ADHD to determine what aspects are most predictive of school grades and the best source (e.g., parents or teachers) for obtaining this information. Students with ADHD in grades 5-8 ( N = 57) and their parents and teachers completed the Children's Organization Skills Scales (COSS) to measure materials organization, planning, and time-management, and parents completed the Homework Problems Checklist (HPC) to examine homework completion and homework materials management behaviors. Regression analyses revealed that parent-rated homework materials management and teacher-rated memory and materials management were the best predictors of school grades. These findings suggest that organization of materials is a critical component of the homework completion process for students with ADHD and an important target for intervention. Teachers were the best source of information regarding materials organization and planning, whereas parents were a valuable source of information for specific homework materials management problems.
Langberg, Joshua M.; Epstein, Jeffery N.; Girio, Erin L.; Becker, Stephen P.; Vaughn, Aaron J.; Altaye, Mekibib
2013-01-01
This study evaluated the homework functioning of middle school students with ADHD to determine what aspects are most predictive of school grades and the best source (e.g., parents or teachers) for obtaining this information. Students with ADHD in grades 5–8 (N = 57) and their parents and teachers completed the Children’s Organization Skills Scales (COSS) to measure materials organization, planning, and time-management, and parents completed the Homework Problems Checklist (HPC) to examine homework completion and homework materials management behaviors. Regression analyses revealed that parent-rated homework materials management and teacher-rated memory and materials management were the best predictors of school grades. These findings suggest that organization of materials is a critical component of the homework completion process for students with ADHD and an important target for intervention. Teachers were the best source of information regarding materials organization and planning, whereas parents were a valuable source of information for specific homework materials management problems. PMID:23577045
Emberland, Jan S; Knardahl, Stein
2015-03-01
To determine the contribution of specific psychological, social, and mechanical work exposures to the self-reported low level of work ability. Employees from 48 organizations were surveyed over a 2-year period (n = 3779). Changes in 16 work exposures and 3 work ability measures-the work ability index score, perceived current, and future work ability-were tested with Spearman rank correlations. Binary logistic regressions were run to determine contribution of work exposures to low work ability. Role conflict, human resource primacy, and positive challenge were the most consistent predictors of low work ability across test designs. Role clarity and fair leadership were less consistent but prominent predictors. Mechanical exposures were not predictive. To protect employee work ability, work place interventions would benefit from focusing on reducing role conflicts and on promoting positive challenges and human resource primacy.
Contribution of Psychological, Social, and Mechanical Work Exposures to Low Work Ability
Knardahl, Stein
2015-01-01
Objective: To determine the contribution of specific psychological, social, and mechanical work exposures to the self-reported low level of work ability. Methods: Employees from 48 organizations were surveyed over a 2-year period (n = 3779). Changes in 16 work exposures and 3 work ability measures—the work ability index score, perceived current, and future work ability—were tested with Spearman rank correlations. Binary logistic regressions were run to determine contribution of work exposures to low work ability. Results: Role conflict, human resource primacy, and positive challenge were the most consistent predictors of low work ability across test designs. Role clarity and fair leadership were less consistent but prominent predictors. Mechanical exposures were not predictive. Conclusions: To protect employee work ability, work place interventions would benefit from focusing on reducing role conflicts and on promoting positive challenges and human resource primacy. PMID:25470453
Ellis, Hugh; Schoenberger, Erica
2017-01-01
According to the most recent estimates, 842,000 deaths in low- to middle-income countries were attributable to inadequate water, sanitation and hygiene in 2012. Despite billions of dollars and decades of effort, we still lack a sound understanding of which kinds of WASH interventions are most effective in improving public health outcomes, and an important corollary-whether the right things are being measured. The World Health Organization (WHO) has made a concerted effort to compile comprehensive data on drinking water quality and sanitation in the developing world. A recent 2014 report provides information on three phenotypes (responses): Unsafe Water Deaths, Unsafe Sanitation Deaths, Unsafe Hygiene Deaths; two grouped phenotypes: Unsafe Water and Sanitation Deaths and Unsafe Water, Sanitation and Hygiene Deaths; and six explanatory variables (predictors): Improved Sanitation, Unimproved Water Source, Piped Water To Premises, Other Improved Water Source, Filtered and Bottled Water in the Household and Handwashing. Regression analyses were performed to identify statistically significant associations between these mortality responses and predictors. Good fitted-model performance required: (1) the use of population-normalized death fractions as opposed to number of deaths; (2) transformed response (logit or power); and (3) square-root predictor transformation. Given the complexity and heterogeneity of the relationships and countries being studied, these models exhibited remarkable performance and explained, for example, about 85% of the observed variance in population-normalized Unsafe Sanitation Death fraction, with a high F-statistic and highly statistically significant predictor p-values. Similar performance was found for all other responses, which was an unexpected result (the expected associations between responses and predictors-i.e., water-related with water-related, etc. did not occur). The set of statistically significant predictors remains the same across all responses. That is, Unsafe Water Source (UWS), Improved Sanitation (IS) and Filtered and Bottled Water in the Household (FBH) were the only statistically significant predictors whether the response was Unsafe Sanitation Death Fraction, Unsafe Hygiene Death Fraction or Unsafe Water Death Fraction. Moreover, the fraction of variance explained for all fitted models remained relatively high (adjusted R2 ranges from 0.7605 to 0.8533). We find that two of the statistically significant predictors-Improved Sanitation and Unimproved Water Sources-are particularly influential. We also find that some predictors (Piped Water to Premises, Other Improved Water Sources) have very little explanatory power for predicting mortality and one (Other Improved Water Sources) has a counterintuitive effect on response (Unsafe Sanitary Death Fraction increases with increases in OIWS) and one predictor (Hand Washing) to have essentially no explanatory usefulness. Our results suggest that a higher priority may need to be given to improved sanitation than has been the case. Nevertheless, while our focus in this paper is mortality, morbidity is a staggering consequence of inadequate water, sanitation and hygiene, and lower impact on mortality may not mean a similarly low impact on morbidity. More specifically, those predictors that we found uninfluential for predicting mortality-related responses may indeed be important when morbidity is the response.
Imbimbo, Ciro; Mirone, Vincenzo; Siracusano, Salvatore; Niero, Mauro; Cerruto, Maria Angela; Lonardi, Cristina; Artibani, Walter; Bassi, Pierfrancesco; Iafrate, Massimo; Racioppi, Marco; Talamini, Renato; Ciciliato, Stefano; Toffoli, Laura; Visalli, Francesco; Massidda, Davide; D'Elia, Carolina; Cacciamani, Giovanni; De Marchi, Davide; Silvestri, Tommaso; Creta, Massimiliano; Belgrano, Emanuele; Verze, Paolo
2015-11-01
To assess health-related quality of life (HRQoL) parameters in patients who received radical cystectomy (RC) with ileal orthotopic neobladder (IONB) reconstruction and to identify clinic-pathologic predictors of HRQoL. From January 2010 to December 2013, a multicenter, retrospective on 174 RC-IONB patients was carried out. All patients completed the following questionnaires: the European Organization for Research and Treatment of Cancer (EORTC) generic (QLQ-C30) and bladder cancer-specific instruments (QLQ-BLM30) and the IONB-Patient Reported Outcome (IONB-PRO). Univariate and multivariate analyses were computed to identify clinic-pathologic predictors of HRQoL. Median age was 66 years (range, 31-83), and 91.4% of patients were men. Median follow-up period was 37 months (range, 3-247). The EORTC QLQ-C30 revealed that age >65 years, absence of urinary incontinence, and absence of peripheral vascular disease were independent predictors of deteriorated body image. A follow-up > 36 months and the presence of urinary incontinence were independent predictors of worsened urinary symptoms, whereas the absence of urinary incontinence was an independent predictor of a worsened body image according to EORTC QLQ-BLM30 results. A follow-up >36 months and the absence of urinary incontinence were independent predictors of better functioning in terms of relational life, emotional life, and fatigue as revealed by the IONB-PRO. Age, presence of urinary incontinence, length of follow-up, and comorbidity status may influence postoperative HRQoL and should all be taken into account when counseling RC-IONB patients. Copyright © 2015 Elsevier Inc. All rights reserved.
Becker, Stephen P.; Epstein, Jeffery N.; Vaughn, Aaron J.; Girio-Herrera, Erin
2013-01-01
The purpose of the study was to evaluate predictors of response and mechanisms of change for the Homework, Organization, and Planning Skills (HOPS) intervention for middle school students with Attention-Deficit/Hyperactivity Disorder (ADHD). Twenty-three middle school students with ADHD (grades 6–8) received the HOPS intervention implemented by school mental health providers and made significant improvements in parent-rated materials organization and planning skills, impairment due to organizational skills problems, and homework problems. Predictors of response examined included demographic and child characteristics, such as gender, ethnicity, intelligence, ADHD and ODD symptom severity, and ADHD medication use. Mechanisms of change examined included the therapeutic alliance and adoption of the organization and planning skills taught during the HOPS intervention. Participant implementation of the HOPS binder materials organization system and the therapeutic alliance as rated by the student significantly predicted post-intervention outcomes after controlling for pre-intervention severity. Adoption of the binder materials organization system predicted parent-rated improvements in organization, planning, and homework problems above and beyond the impact of the therapeutic alliance. These findings demonstrate the importance of teaching students with ADHD to use a structured binder organization system for organizing and filing homework and classwork materials and for transferring work to and from school. PMID:24319323
Predictors of Arbuscular Mycorrhizal Fungal Communities in the Brazilian Tropical Dry Forest.
Sousa, Natália M F; Veresoglou, Stavros D; Oehl, Fritz; Rillig, Matthias C; Maia, Leonor C
2018-02-01
Arbuscular mycorrhizal fungi (AMF) are symbiotic fungi with a broad distribution, and many taxa have physiological and ecological adaptations to specific environments, including semiarid ecosystems. Our aim was to address regional distribution patterns of AMF communities in such semiarid environments based on spore morphological techniques. We assessed AMF spores at the bottom and top of inselbergs distributed throughout the tropical dry forest in the Northeast region of Brazil. Across 10 replicate inselbergs and the surrounding area, spanning a range of altitude between 140 and 2000 m, we scored the AMF soil diversity and properties in 52 plots. We fitted parsimonious ordination analyses and variance partitioning models to determine the environmental factors which explained the variation in AMF community, based on morphological spore analysis. The diversity of AMF was similar at the bottom and top of inselbergs; however, we detected high variation in abundance and richness across sites. We formulated a parsimonious richness model that used physical soil factors as predictors. The AMF community structure could be best explained through the variables coarse and total sand, iron, organic matter, potassium, silt, and sodium which together accounted for 17.8% of total variance. Several AMF species were indicators of either deficiency or high values of specific soil properties. We demonstrated that habitat isolation of the inselbergs compared with surrounding areas did not trigger differences in AMF communities in semiarid regions of Brazil. At the regional scale, soil predictors across sites drove the distribution of symbiotic mycorrhizal fungi.
Magnusson, Maria K; Arvola, Anne; Hursti, Ulla Kaisa Koivisto; Aberg, Lars; Sjödén, Per-Olow
2003-04-01
We designed a questionnaire concerned with attitudes and behaviour towards organic foods, environmentally friendly behaviour (EFB), and perceived consequences of organic food choice in terms of human health, the environment and animal welfare. It was mailed in 1998 to a random nation-wide sample of 2000 Swedish citizens, ages 18-65 years, and 1154 (58%) responded. Self-reported purchase of organic foods was most strongly related to perceived benefit for human health. Performance of EFBs such as refraining from car driving was also a good predictor of purchase frequency. The results indicate that egoistic motives are better predictors of the purchase of organic foods than are altruistic motives.
Yang, Runtao; Zhang, Chengjin; Gao, Rui; Zhang, Lina
2015-09-07
Antifreeze proteins (AFPs) play a pivotal role in the antifreeze effect of overwintering organisms. They have a wide range of applications in numerous fields, such as improving the production of crops and the quality of frozen foods. Accurate identification of AFPs may provide important clues to decipher the underlying mechanisms of AFPs in ice-binding and to facilitate the selection of the most appropriate AFPs for several applications. Based on an ensemble learning technique, this study proposes an AFP identification system called AFP-Ensemble. In this system, random forest classifiers are trained by different training subsets and then aggregated into a consensus classifier by majority voting. The resulting predictor yields a sensitivity of 0.892, a specificity of 0.940, an accuracy of 0.938 and a balanced accuracy of 0.916 on an independent dataset, which are far better than the results obtained by previous methods. These results reveal that AFP-Ensemble is an effective and promising predictor for large-scale determination of AFPs. The detailed feature analysis in this study may give useful insights into the molecular mechanisms of AFP-ice interactions and provide guidance for the related experimental validation. A web server has been designed to implement the proposed method.
Psychosocial predictors in the transition from acute to chronic pain: a systematic review.
Hruschak, Valerie; Cochran, Gerald
2018-02-28
Chronic non-cancer pain (CNCP) is a major health problem which psychosocial factors have significant implications in. There is a gap in regards to evidence for the prevention of chronicity specifically addressing psychological and social domains. Four databases were searched with terms related to "psychosocial", "acute pain", and "chronic pain". A total of 1,389 studies were identified in which titles, abstracts, and full texts were assessed for inclusion criteria. A data template was used to capture pertinent details, and overall themes and patterns were organized according to type of pain examined and psychosocial variables measured. Of the 18 articles that met inclusion criteria, fifteen (83%) of the articles reported an association between psychosocial factors and chronicity. A total of 5 of the studies (29%) demonstrated that depression was a possible predictor and 6 (35%) of the studies found fear-avoidance to be associated with chronicity. This review provides evidence that psychosocial factors are associated with chronicity within CNCP. These results suggest a need for targeting psychosocial predictors in prevention and early intervention through clinical guidelines and a national strategy to support a cultural change in pain care.
Arnetz, Bengt; Blomkvist, Vanja
2007-01-01
Only a few studies of psychosocial determinants of employee health and organizational development have been prospective, involving more than one organization and applying standardized assessment tools. This limits the ability of providing evidence-based guidance as how to carry out healthy organizational transformations. A total of 6,000 employees responded twice to a validated psychosocial-leadership questionnaire within a 2-year period. The assessment focused on changes over time in the three outcome measures - mental health, efficacy, and leadership, determined to be important indicators of a healthy organization. Changes within and between organization were assessed statistically using regular t tests and general linear modeling. There were major differences between organizations in psychosocial measures, both at the baseline and over time. At the organizational level, changes between study periods in management performance feedback, participatory management, and work tempo were the most consistent predictors of improvements over time in the three outcome measures. Performance feedback and participatory management might be two common predictors of healthy workplaces. Some of the psychosocial determinants of healthy organizations suggested in previous research might not be universally valid. It is suggested that future research should to a larger degree make use of multiple departments and organizations in studies of psychosocial determinants of healthy organizations. Copyright 2007 S. Karger AG, Basel.
Vesel, Linda; Martines, Jose; Penny, Mary; Bhandari, Nita; Kirkwood, Betty R
2010-01-01
Abstract Objective To compare the estimated prevalence of malnutrition using the World Health Organization’s (WHO) child growth standards versus the National Center for Health Statistics’ (NCHS) growth reference, to examine the relationship between exclusive breastfeeding and malnutrition, and to determine the sensitivity and specificity of nutritional status indicators for predicting death during infancy. Methods A secondary analysis of data on 9424 mother–infant pairs in Ghana, India and Peru was conducted. Mothers and infants were enrolled in a trial of vitamin A supplementation during which the infants’ weight, length and feeding practices were assessed regularly. Malnutrition indicators were determined using WHO and NCHS growth standards. Findings The prevalence of stunting, wasting and underweight in infants aged < 6 months was higher with WHO than NCHS standards. However, the prevalence of underweight in infants aged 6–12 months was much lower with WHO standards. The duration of exclusive breastfeeding was not associated with malnutrition in the first 6 months of life. In infants aged < 6 months, severe underweight at the first immunization visit as determined using WHO standards had the highest sensitivity (70.2%) and specificity (85.8%) for predicting mortality in India. No indicator was a good predictor in Ghana or Peru. In infants aged 6–12 months, underweight at 6 months had the highest sensitivity and specificity for predicting mortality in Ghana (37.0% and 82.2%, respectively) and Peru (33.3% and 97.9% respectively), while wasting was the best predictor in India (sensitivity: 54.6%; specificity: 85.5%). Conclusion Malnutrition indicators determined using WHO standards were better predictors of mortality than those determined using NCHS standards. No association was found between breastfeeding duration and malnutrition at 6 months. Use of WHO child growth standards highlighted the importance of malnutrition in the first 6 months of life. PMID:20428352
McCollum, Eric D; King, Carina; Hollowell, Robert; Zhou, Janet; Colbourn, Tim; Nambiar, Bejoy; Mukanga, David; Burgess, Deborah C Hay
2015-07-09
Improved referral algorithms for children with non-severe pneumonia at the community level are desirable. We sought to identify predictors of oral antibiotic failure in children who fulfill the case definition of World Health Organization (WHO) non-severe pneumonia. Predictors of greatest interest were those not currently utilized in referral algorithms and feasible to obtain at the community level. We systematically reviewed prospective studies reporting independent predictors of oral antibiotic failure for children 2-59 months of age in resource-limited settings with WHO non-severe pneumonia (either fast breathing for age and/or lower chest wall indrawing without danger signs), with an emphasis on predictors not currently utilized for referral and reasonable for community health workers. We searched PubMed, Cochrane, and Embase and qualitatively analyzed publications from 1997-2014. To supplement the limited published evidence in this subject area we also surveyed respiratory experts. Nine studies met criteria, seven of which were performed in south Asia. One eligible study occurred exclusively at the community level. Overall, oral antibiotic failure rates ranged between 7.8-22.9%. Six studies found excess age-adjusted respiratory rate (either WHO-defined very fast breathing for age or 10-15 breaths/min faster than normal WHO age-adjusted thresholds) and four reported young age as predictive for oral antibiotic failure. Of the seven predictors identified by the expert panel, abnormal oxygen saturation and malnutrition were most highly favored per the panel's rankings and comments. This review identified several candidate predictors of oral antibiotic failure not currently utilized in childhood pneumonia referral algorithms; excess age-specific respiratory rate, young age, abnormal oxygen saturation, and moderate malnutrition. However, the data was limited and there are clear evidence gaps; research in rural, low-resource settings with community health workers is needed.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Douglas, W.S.; Hayes, K.R.
1994-12-31
The IQ TOXICITY TEST{trademark} is a toxicity screening test that evaluates the organism`s galactosidase enzyme system functionality as a predictor of acute toxicity. Organisms are exposed to a potentially toxic solution for approximately one hour. Following the exposure, the organisms are exposed to a slurry of a galactoside sugar tagged with a fluorescent marker (methylumbelliferyl galactoside) for 15--20 minutes. A black light can then be used to examine whether the hemolymph of the organism contains free umbelliferone, which brightly fluoresces. The organisms are then scored as ``on`` or ``off`` with respect to free umbelliferone. This endpoint can then be usedmore » to calculate an EC50, which is comparable to a whole effluent, pure compound, or sediment toxicity test. Slightly different methodologies are used for different toxicity test organisms. The objective of this presentation is to discuss the use of the IQ{trademark} methodology with porewater extract exposures of the amphipod Hyalella azteca as a predictor of results of whole sediment toxicity tests. The results of over thirty 10 and 28-day whole sediment toxicity tests and the concurrent Hyalella azteca 10 TOXICITY TESTS{trademark} are compared and discussed. The use of screening tests as a reduced cost method for initial site assessment will be discussed.« less
Environment and host as large-scale controls of ectomycorrhizal fungi.
van der Linde, Sietse; Suz, Laura M; Orme, C David L; Cox, Filipa; Andreae, Henning; Asi, Endla; Atkinson, Bonnie; Benham, Sue; Carroll, Christopher; Cools, Nathalie; De Vos, Bruno; Dietrich, Hans-Peter; Eichhorn, Johannes; Gehrmann, Joachim; Grebenc, Tine; Gweon, Hyun S; Hansen, Karin; Jacob, Frank; Kristöfel, Ferdinand; Lech, Paweł; Manninger, Miklós; Martin, Jan; Meesenburg, Henning; Merilä, Päivi; Nicolas, Manuel; Pavlenda, Pavel; Rautio, Pasi; Schaub, Marcus; Schröck, Hans-Werner; Seidling, Walter; Šrámek, Vít; Thimonier, Anne; Thomsen, Iben Margrete; Titeux, Hugues; Vanguelova, Elena; Verstraeten, Arne; Vesterdal, Lars; Waldner, Peter; Wijk, Sture; Zhang, Yuxin; Žlindra, Daniel; Bidartondo, Martin I
2018-06-06
Explaining the large-scale diversity of soil organisms that drive biogeochemical processes-and their responses to environmental change-is critical. However, identifying consistent drivers of belowground diversity and abundance for some soil organisms at large spatial scales remains problematic. Here we investigate a major guild, the ectomycorrhizal fungi, across European forests at a spatial scale and resolution that is-to our knowledge-unprecedented, to explore key biotic and abiotic predictors of ectomycorrhizal diversity and to identify dominant responses and thresholds for change across complex environmental gradients. We show the effect of 38 host, environment, climate and geographical variables on ectomycorrhizal diversity, and define thresholds of community change for key variables. We quantify host specificity and reveal plasticity in functional traits involved in soil foraging across gradients. We conclude that environmental and host factors explain most of the variation in ectomycorrhizal diversity, that the environmental thresholds used as major ecosystem assessment tools need adjustment and that the importance of belowground specificity and plasticity has previously been underappreciated.
Kowalski, Christoph; Driller, Elke; Ernstmann, Nicole; Alich, Saskia; Karbach, Ute; Ommen, Oliver; Schulz-Nieswandt, Frank; Pfaff, Holger
2010-01-01
Many people working in human services in Western countries suffer from burnout, characterized by emotional exhaustion, depersonalization, and decreased personal performance. Prevention of emotional exhaustion (the first phase of burnout) constitutes a great challenge because emotional exhaustion may cause increasing turnover rates in staff and lead to a lesser quality of care. Prevention of emotional exhaustion requires knowledge of its predictors. The aim of this study was to investigate the associations between emotional exhaustion, social capital, workload, and latitude in decision-making among German professionals working in the care of persons with intellectual and physical disabilities. The study was based on a survey in a sheltered workshop and 5 homes for disabled persons with 175 professionals. Burnout was measured with the German version of the Maslach Burnout Inventory-General Survey (MBI-GS). A multivariate logistic regression analysis was computed. Logistic regression identified the following three significant predictors of emotional exhaustion in the sample: workload (OR, 4.192; CI, 2.136-8.227), latitude in decision-making (OR, 0.306; CI, 0.115-0.811), and male gender (OR, 4.123; CI, 1.796-9.462). Nagelkerke's Pseudo-R(2) was 0.344. The results of this study demonstrate that specific factors in work organization are associated with emotional exhaustion. Taking into account sociodemographic changes and the upcoming challenges for human services professionals, the results underline the importance of considering aspects of organization at the workplace to prevent burnout. Specific circumstances of male employees must be considered. Copyright 2009 Elsevier Ltd. All rights reserved.
Holmes, Natasha E; Turnidge, John D; Munckhof, Wendy J; Robinson, J Owen; Korman, Tony M; O'Sullivan, Matthew V N; Anderson, Tara L; Roberts, Sally A; Warren, Sanchia J C; Coombs, Geoffrey W; Tan, Hui-Leen; Gao, Wei; Johnson, Paul D R; Howden, Benjamin P
2014-09-01
An elevated vancomycin MIC is associated with poor outcomes in Staphylococcus aureus bacteremia (SAB) and is reported in patients with methicillin-susceptible S. aureus (MSSA) bacteremia in the absence of vancomycin treatment. Here, using DNA microarray and phenotype analysis, we investigated the genetic predictors and accessory gene regulator (agr) function and their relationship with elevated vancomycin MIC using blood culture isolates from a multicenter binational cohort of patients with SAB. Specific clonal complexes were associated with elevated (clonal complex 8 [CC8] [P < 0.001]) or low (CC22 [P < 0.001], CC88 [P < 0.001], and CC188 [P = 0.002]) vancomycin MIC. agr dysfunction (P = 0.014) or agr genotype II (P = 0.043) were also associated with an elevated vancomycin MIC. Specific resistance and virulence genes were also linked to an elevated vancomycin MIC, including blaZ (P = 0.002), sea (P < 0.001), clfA (P < 0.001), splA (P = 0.001), and the arginine catabolic mobile element (ACME) locus (P = 0.02). These data suggest that inherent organism characteristics may explain the link between elevated vancomycin MICs and poor outcomes in patients with SAB, regardless of the antibiotic treatment received. A consideration of clonal specificity should be included in future research when attempting to ascertain treatment effects or clinical outcomes. Copyright © 2014, American Society for Microbiology. All Rights Reserved.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Song, T; Zhou, L; Li, Y
2015-06-15
Purpose: To develop a patient-specific rectal toxicity predictor guided plan quality control tool for prostate SBRT plans. Methods: For prostate SBRT cases, four segments of rectal walls including peri-prostatic anterior rectal wall, peri-prostatic lateral rectal walls, peri-prostatic posterior rectal wall and rectum superior to prostate are identified as organs at risk and the circumference of rectal wall receiving more than 39 Gy (CRW39) and 24 Gy (CRW24) are rectal toxicity predictors. In this new geometry-dosimetry model, a patient geometry descriptor, differential circumference of rectal wall (dCRW) is used as model input geometry parameters and plan dosimetric endpoints CRW39 and CRW24more » are output dosimetric parameters. Linear models are built to correlate dCRW to both CRW39 and CRW24 and established with both a linear regression method and a modified bagging ensemble machine learning method. 27 SBRT prostate cases are retrospectively studied from a dose-escalated clinical trial research. 20 prescribed 50 Gy SBRT cases are recruited to train the model and the other rescaled 7 cases are used to evaluated model feasibility and accuracy. Results: Each solved linear coefficient sequence related to CRW39 or CRW24 is a one-dimensional decreasing function of the distance from the PTV boundary, indicating that the different locations of each rectal circumference have different contributions to each particular dosimetric endpoint. The fitting errors for those trained 20 prostate SBRT cases are small with mean values of 2.39%, 2.45% relative to the endpoint values for SBRT rectal toxicity predictor CRW39 and CRW24 respectively. 1 out of 7 evaluation plans is identified as poor quality plan. After re-planning, the CRW39 and CRW24 can be reduced by 3.34% and 3%, without sacrificing PTV coverage. Conclusion: The proposed patient geometry-plan toxicity predictor model for SBRT plans can be successfully applied to plan quality control for prostate SBRT cases.« less
Choi, Jeong Sil; Kim, Kyung Mi
2015-11-01
Job embeddedness indicates the degree to which an employee of an organization intends to remain in his or her position at that organization. This study examined how job embeddedness affects infection control nurses' turnover intention along with general characteristics, job satisfaction, and perceived job alternatives. We collected data from a total of 133 infection control nurses using self-reporting questionnaire methods. All questions were answered on a 5-point Likert scale. The average turnover intention was 3.01 ± 0.72 (100-point conversion, 60.2%), and average job satisfaction was 3.48 ± 0.79 (100-point conversion, 69.6%). The average perceived availability of job alternatives was 3.02 ± 0.78 (100-point conversion, 60.4%), and average job embeddedness was 3.33 ± 0.57 (100-point conversion, 66.6%). Predictors of turnover intention were monthly income, perceived availability of job alternatives, and job embeddedness. Job embeddedness among predictors has high explanatory power as a predictor of infection control nurses' turnover intention. Through this study we identified predictors of turnover intention and found that job embeddedness among predictors has high explanatory power as a predictor of infection control nurses' turnover intention. Strategies to enhance infection control nurses' job embeddedness are needed. Copyright © 2015 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.
Predictors of public attitude toward living organ donation in Kano, northern Nigeria.
Iliyasu, Zubairu; Abubakar, Isa S; Lawan, Umar M; Abubakar, Mustapha; Adamu, Bappa
2014-01-01
Organ shortage is a major public health challenge for transplant programs globally. The sustenance of such programs as an effective therapy for end-stage organ failure (ESOF) requires an exploration of public awareness and willingness to donate organs. This is imperative, especially in developing countries where ESOF is highly prevalent. We studied the awareness and predictors of public attitude toward organ donation in Kano city in northern Nigeria. Using interviewer-administered questionnaires, we assessed the awareness and willingness to donate solid organs among 400 adults in the Kano metropolis. Three hundred and five of the 383 respondents (79.6%) reported that they had heard about organ donation. There was a significant variation of awareness by education and ethnicity (P <0.05). Most respondents, 303 (79.1%), were willing to donate an organ. Gender [adjusted odds ratio (AOR) = 2.13; 95% confidence interval (CI): 1.40-4.95], educational attainment (AOR = 2.55; 95% CI: 1.35-5.88), marital status (AOR = 4.5; 95% CI: 2.97-9.1), religion (AOR = 3.40; 95% CI: 1.43-8.10) and ethnicity (AOR = 2.36; 95% CI 1.04-5.35) were significant predictors of willingness to donate an organ. Preferred organ recipients were parents (48.9%), children (21.3%), spouses (14.6%) and other relatives (13.4%). Reasons for willingness to donate organs included religion (51.2%), moral obligation (21.4%) and compassion (11.9%), among others. However, there was widespread ignorance of religious precepts concerning organ donation. The high level of awareness and willingness to donate organs in this society could be further enhanced by intensive information, education and communication strategies providing clear messages on societal benefits, religious aspects and bioethical guidance regarding organ donation.
Katsari, Vasiliki; Domeyer, Philip J; Sarafis, Pavlos; Souliotis, Kyriakos
2015-07-02
Organ donation rates in Greece are the lowest in the European Union. Studying and improving young students' awareness may increase organ donation rates. This study aimed to investigate young students' knowledge, attitude and information regarding organ donation and whether they are modified by putative predictors. A 62-item electronic questionnaire was sent to 1451 eligible students aged 18-30 years in 16 Greek public technical schools. Two composite scales (knowledge and attitude) were created. The multivariate statistical analysis included ordinal logistic and linear regression, as appropriate. Only 37.9% of the students knew the correct definition of organ donation, 40.3% knew which organs can be donated, 27.4% were informed about the new Greek legislation, and 83.1% acknowledged the need for better information. Although 60.5% would donate an organ after death, only 16.1% would become living donors. Although 83.1% of the students declared knowing what brain death means, 18.6% believe that a brain-dead person could fully recover and 32.3% are unsure about it. Being a health professional or a blood donor, the parent's educational level, the wish to donate all organs after death, the information from announcements or posters, the fear of organ removal after death without prior consent, the consent for autopsy, the wish for better information, and the misbelief that a brain-dead person could fully recover emerged as important predictors of the knowledge and attitude, regarding organ donation. An important lack of knowledge and misperceptions were noted regarding organ donation. Significant predictors were identified.
DuBay, Derek A.; Redden, David; Haque, Akhlaque; Gray, Stephen; Fouad, Mona; Siminoff, Laura A.; Holt, Cheryl; Kohler, Connie; Eckhoff, Devin
2013-01-01
Background Studies have demonstrated that African American race is a strong predictor of non-donation. However, it is often and correctly argued that African American race is a crude explanatory variable that is a surrogate marker of socioeconomic status (SES), education and access to health care. We hypothesized that when controlling for these factors, African American race would cease to be a predictor of organ donation. Methods A retrospective review was performed of 1292 Alabama decedents approached for organ donation between 2006 and 2009. Multivariable logistic regression models were constructed to identify the most parsimonious model that could explain the variation in the log-odds of obtaining consent. Results Consent for donation was obtained from 49% of the decedent's families. Household income was a predictor of organ donor consent only in Caucasians. Surprisingly, household income was not statistically different between consented and non-consented African American decedents ($25,147 vs. $26,137; p=0.90). On multivariable analysis, education, urban residence and shorter distance between the decedent residence and donor hospital were significantly associated with obtaining consent for organ donation. On univariate analysis, the odds of donor consent in Caucasians compared to African Americans was 2.76 (95% CI 2.17 – 3.57). When controlling for SES and access to healthcare variables, the odds of donor consent increased to 4.36 (95% CI 2.88 – 6.61). Conclusions We interpret this result to indicate that there remains unknown but important factor(s) associated with both race and obtaining organ donor consent. Further studies are required to isolate and determine whether this factor(s) is modifiable. PMID:23018878
A sequence-based hybrid predictor for identifying conformationally ambivalent regions in proteins.
Liu, Yu-Cheng; Yang, Meng-Han; Lin, Win-Li; Huang, Chien-Kang; Oyang, Yen-Jen
2009-12-03
Proteins are dynamic macromolecules which may undergo conformational transitions upon changes in environment. As it has been observed in laboratories that protein flexibility is correlated to essential biological functions, scientists have been designing various types of predictors for identifying structurally flexible regions in proteins. In this respect, there are two major categories of predictors. One category of predictors attempts to identify conformationally flexible regions through analysis of protein tertiary structures. Another category of predictors works completely based on analysis of the polypeptide sequences. As the availability of protein tertiary structures is generally limited, the design of predictors that work completely based on sequence information is crucial for advances of molecular biology research. In this article, we propose a novel approach to design a sequence-based predictor for identifying conformationally ambivalent regions in proteins. The novelty in the design stems from incorporating two classifiers based on two distinctive supervised learning algorithms that provide complementary prediction powers. Experimental results show that the overall performance delivered by the hybrid predictor proposed in this article is superior to the performance delivered by the existing predictors. Furthermore, the case study presented in this article demonstrates that the proposed hybrid predictor is capable of providing the biologists with valuable clues about the functional sites in a protein chain. The proposed hybrid predictor provides the users with two optional modes, namely, the high-sensitivity mode and the high-specificity mode. The experimental results with an independent testing data set show that the proposed hybrid predictor is capable of delivering sensitivity of 0.710 and specificity of 0.608 under the high-sensitivity mode, while delivering sensitivity of 0.451 and specificity of 0.787 under the high-specificity mode. Though experimental results show that the hybrid approach designed to exploit the complementary prediction powers of distinctive supervised learning algorithms works more effectively than conventional approaches, there exists a large room for further improvement with respect to the achieved performance. In this respect, it is of interest to investigate the effects of exploiting additional physiochemical properties that are related to conformational ambivalence. Furthermore, it is of interest to investigate the effects of incorporating lately-developed machine learning approaches, e.g. the random forest design and the multi-stage design. As conformational transition plays a key role in carrying out several essential types of biological functions, the design of more advanced predictors for identifying conformationally ambivalent regions in proteins deserves our continuous attention.
Cross-Validation of Predictor Equations for Armor Crewman Performance
1980-01-01
Technical Report 447 CROSS-VALIDATION OF PREDICTOR EQUATIONS FOR ARMOR CREWMAN PERFORMANCE Anthony J. Maitland , Newell K. Eaton, and Janet F. Neft...ORG. REPORT NUMBER Anthony J/ Maitland . Newell K/EatorV. and B OTATO RN UBR. 9- PERFORMING ORGANIZATION NAME AND ADDRESS I0. PROGRAM ELEMENT, PROJECT...Technical Report 447 CROSS-VALIDATION OF PREDICTOR EQUATIONS FOR ARMOR CREWMAN PERFORMANCE Anthony J. Maitland , Newell K. Eaton, Accession For and
Varghese, George M; Janardhanan, Jeshina; Trowbridge, Paul; Peter, John V; Prakash, John A J; Sathyendra, Sowmya; Thomas, Kurien; David, Thambu S; Kavitha, M L; Abraham, Ooriapadickal C; Mathai, Dilip
2013-11-01
This study sought to document the clinical and laboratory manifestations, genetic variability, and outcomes of scrub typhus, an often severe infection caused by Orientia tsutsugamushi, in South India. Patients admitted to a large teaching hospital with IgM ELISA-confirmed scrub typhus were evaluated. Clinical examination with a thorough search for an eschar, laboratory testing, chest X-ray, and outcome were documented and analyzed. Additionally, a 410-bp region of the 56-kDa type-specific antigen gene of O. tsutsugamushi was sequenced and compared with isolates from other regions of Asia. Most of the 154 patients evaluated presented with fever and non-specific symptoms. An eschar was found in 86 (55%) patients. Mild hepatic involvement was seen in most, with other organ involvement including respiratory, cardiovascular, and renal. Multi-organ dysfunction was noted in 59 (38.3%), and the fatality rate was 7.8%. Hypotension requiring vasoactive agents was found to be an independent predictor of mortality (p<0.001). The phylogeny of 26 samples showed 17 (65%) clustering with the Kato-like group and eight (31%) with the Karp-like group. The presentation of scrub typhus can be variable, often non-specific, but with potentially severe multi-organ dysfunction. Prompt recognition is key to specific treatment and good outcomes. Further study of the circulating strains is essential for the development of a successful vaccine and sensitive point-of-care testing. Copyright © 2013 International Society for Infectious Diseases. Published by Elsevier Ltd. All rights reserved.
Predictors of job satisfaction among Academic Faculty: Do instructional and clinical faculty differ?
Chung, Kevin C.; Song, Jae W.; Kim, H. Myra; Woolliscroft, James O.; Quint, Elisabeth H.; Lukacs, Nicholas W.; Gyetko, Margaret R.
2010-01-01
Objectives To identify and compare predictors of job satisfaction between the instructional and clinical faculty tracks. Method A 61-item faculty job satisfaction survey was distributed to 1,898 academic faculty at the University of Michigan Medical School. The anonymous survey was web-based. Questions covered topics on departmental organization, research, clinical and teaching support, compensation, mentorship, and promotion. Levels of satisfaction were contrasted between the two tracks, and predictors of job satisfaction were identified using linear regression models. Results The response rates for the instructional and clinical tracks were 43.1% and 41.3%, respectively. Clinical faculty reported being less satisfied with how they are mentored, and fewer reported understanding the process for promotion. There was no significant difference in overall job satisfaction between faculty tracks. Surprisingly, clinical faculty with mentors were significantly less satisfied with how they were being mentored, with career advancement and overall job satisfaction, compared to instructional faculty mentees. Additionally, senior-level clinical faculty were significantly less satisfied with their opportunities to mentor junior faculty compared to senior-level instructional faculty. Significant predictors of job satisfaction for both tracks included areas of autonomy, meeting career expectations, work-life balance, and departmental leadership. Unique to the clinical track, compensation and career advancement variables also emerged as significant predictors. Conclusion Greater effort must be placed in the continued attention to faculty well-being both at the institutional level and at the level of departmental leadership. Success in enhancing job satisfaction is more likely if directed by locally designed assessments involving department chairs, specifically in fostering more effective mentoring relationships focused on making available career advancement activities such as research activities. Our findings show this strategy to significantly impact the job satisfaction and retention of clinical track faculty members. PMID:20880368
Gameiro, S; Boivin, J; Peronace, L; Verhaak, C M
2012-01-01
BACKGROUND Chances of achieving parenthood are high for couples who undergo fertility treatment. However, many choose to discontinue before conceiving. A systematic review was conducted to investigate patients' stated reasons for and predictors of discontinuation at five fertility treatment stages. METHODS Six databases were systematically searched. Search-terms referred to fertility treatment and discontinuation. Studies reporting on patients' stated reasons for or predictors of treatment discontinuation were included. A list of all reasons for discontinuation presented in each study was made, different categories of reasons were defined and the percentage of selections of each category was calculated. For each predictor, it was noted how many studies investigated it and how many found a positive and/or negative association with discontinuation. RESULTS The review included 22 studies that sampled 21 453 patients from eight countries. The most selected reasons for discontinuation were: postponement of treatment (39.18%, postponement of treatment or unknown 19.17%), physical and psychological burden (19.07%, psychological burden 14%, physical burden 6.32%), relational and personal problems (16.67%, personal reasons 9.27%, relational problems 8.83%), treatment rejection (13.23%) and organizational (11.68%) and clinic (7.71%) problems. Some reasons were common across stages (e.g. psychological burden). Others were stage-specific (e.g. treatment rejection during workup). None of the predictors reported were consistently associated with discontinuation. CONCLUSIONS Much longitudinal and theory led research is required to explain discontinuation. Meanwhile, treatment burden should be addressed by better care organization and support for patients. Patients should be well informed, have the opportunity to discuss values and worries about treatment and receive advice to decide about continuing treatment.
Gameiro, S.; Boivin, J.; Peronace, L.; Verhaak, C.M.
2012-01-01
BACKGROUND Chances of achieving parenthood are high for couples who undergo fertility treatment. However, many choose to discontinue before conceiving. A systematic review was conducted to investigate patients' stated reasons for and predictors of discontinuation at five fertility treatment stages. METHODS Six databases were systematically searched. Search-terms referred to fertility treatment and discontinuation. Studies reporting on patients' stated reasons for or predictors of treatment discontinuation were included. A list of all reasons for discontinuation presented in each study was made, different categories of reasons were defined and the percentage of selections of each category was calculated. For each predictor, it was noted how many studies investigated it and how many found a positive and/or negative association with discontinuation. RESULTS The review included 22 studies that sampled 21 453 patients from eight countries. The most selected reasons for discontinuation were: postponement of treatment (39.18%, postponement of treatment or unknown 19.17%), physical and psychological burden (19.07%, psychological burden 14%, physical burden 6.32%), relational and personal problems (16.67%, personal reasons 9.27%, relational problems 8.83%), treatment rejection (13.23%) and organizational (11.68%) and clinic (7.71%) problems. Some reasons were common across stages (e.g. psychological burden). Others were stage-specific (e.g. treatment rejection during workup). None of the predictors reported were consistently associated with discontinuation. CONCLUSIONS Much longitudinal and theory led research is required to explain discontinuation. Meanwhile, treatment burden should be addressed by better care organization and support for patients. Patients should be well informed, have the opportunity to discuss values and worries about treatment and receive advice to decide about continuing treatment. PMID:22869759
Codreanu, Tudor A; Celenza, Antonio; Ngo, Hanh
2016-06-01
Introduction The aim of disaster reduction education (DRE) is to achieve behavioral change. Over the past two decades, many efforts have been directed towards this goal, but educational activities have been developed based on unverified assumptions. Further, the literature has not identified any significant change towards disaster preparedness at the individual level. In addition, previous research suggests that change is dependent on multiple independent predictors. It is difficult to determine what specific actions DRE might result in; therefore, the preamble of such an action, which is to have discussions about it, has been chosen as the surrogate outcome measure for DRE success. This study describes the relationship of the perceived entity responsible for disaster education, disaster education per se, sex, and country-specific characteristics, with students discussing disasters with friends and family as a measure of proactive behavioral change in disaster preparedness. A total of 3,829 final year high school students participated in an international, multi-center prospective, cross-sectional study using a validated questionnaire. Nine countries with different levels of disaster exposure risk and economic development were surveyed. Regression analyses examined the relationship between the likelihood of discussing disasters with friends and family (dependent variable) and a series of independent variables. There was no statistically significant relationship between a single entity responsible for disaster education and discussions about potential hazards and risks with friends and/or family. While several independent predictors showed a significant main effect, DRE through school lessons in interaction with Family & Charity Organizations had the highest predictive value. Disaster reduction education might require different delivery channels and methods and should engage with the entities with which the teenagers are more likely to collaborate. Codreanu TA , Celenza A , Ngo H . Disaster risk education of final year high school students requires a partnership with families and charity organizations: an international cross-sectional survey. Prehosp Disaster Med. 2016;31(3):242-254.
ERIC Educational Resources Information Center
Wilson, Anna C.; Lengua, Liliana J.; Meltzoff, Andrew N.; Smith, Kimberly A.
2010-01-01
Parenting is related to children's adjustment, but little research has examined the role of parenting in children's responses to disasters. This study describes parenting responses specific to the 9/11 terrorist attacks and examines pre-9/11 parenting, child temperament, and 9/11-specific parenting as predictors of children's posttraumatic stress…
Evaluation of Land Use Regression Models for Nitrogen Dioxide and Benzene in Four US Cities
Mukerjee, Shaibal; Smith, Luther; Neas, Lucas; Norris, Gary
2012-01-01
Spatial analysis studies have included the application of land use regression models (LURs) for health and air quality assessments. Recent LUR studies have collected nitrogen dioxide (NO2) and volatile organic compounds (VOCs) using passive samplers at urban air monitoring networks in El Paso and Dallas, TX, Detroit, MI, and Cleveland, OH to assess spatial variability and source influences. LURs were successfully developed to estimate pollutant concentrations throughout the study areas. Comparisons of development and predictive capabilities of LURs from these four cities are presented to address this issue of uniform application of LURs across study areas. Traffic and other urban variables were important predictors in the LURs although city-specific influences (such as border crossings) were also important. In addition, transferability of variables or LURs from one city to another may be problematic due to intercity differences and data availability or comparability. Thus, developing common predictors in future LURs may be difficult. PMID:23226985
Pollock, Bruce E; Stafford, Scott L; Link, Michael J; Garces, Yolanda I; Foote, Robert L
2012-02-15
A study was undertaken to define the variables associated with tumor control and survival after single-session stereotactic radiosurgery (SRS) for patients with atypical and malignant intracranial meningiomas. Fifty patients with World Health Organization (WHO) grade II (n = 37) or grade III (n = 13) meningiomas underwent SRS from 1990 to 2008. Most tumors were located in the falx/parasagittal region or cerebral convexities (n = 35, 70%). Twenty patients (40%) had progressing tumors despite prior external beam radiation therapy (EBRT) (median dose, 54.0 grays [Gy]). The median treatment volume was 14.6 cm(3) ; the median tumor margin dose was 15.0 Gy. Seven patients (14%) received concurrent EBRT (median dose, 50.4 Gy). Follow-up (median, 38 months) was censored at last evaluation (n = 28) or death (n = 22). Tumor grade correlated with disease-specific survival (DSS) (hazard ratio [HR], 3.4; P = .008), local tumor control (HR, 2.4; P = .02), and progression-free survival (PFS) (HR, 2.6; P = .02) on univariate analysis, but not on multivariate analysis. Multivariate analysis showed that having failed EBRT and tumor volume >14.6 cm(3) were negative predictors of DSS and local control (HR, 3.0; P = .02 and HR, 4.4; P = .01; HR, 3.3; P = .001 and HR, 2.3; P = .02;, respectively). Having failed EBRT was a negative predictor of PFS (HR, 3.5; P = .002). Thirteen patients (26%) had radiation-related complications at a median of 6 months after radiosurgery. Tumor progression despite prior EBRT and larger tumor volume are negative predictors of tumor control and survival for patients having SRS for WHO grade II and III intracranial meningiomas. Copyright © 2011 American Cancer Society.
Cammin-Nowak, Sandra; Helbig-Lang, Sylvia; Lang, Thomas; Gloster, Andrew T; Fehm, Lydia; Gerlach, Alexander L; Ströhle, Andreas; Deckert, Jürgen; Kircher, Tilo; Hamm, Alfons O; Alpers, Georg W; Arolt, Volker; Wittchen, H-U
2013-06-01
Although homework assignments are an integral component of cognitive-behavioral therapy (CBT) and relate to positive therapy outcomes, it is unclear whether specific homework types and their completion have specific effects on outcome. Data from N = 292 patients (75% female, mean age 36 years) with panic disorder and agoraphobia and treated with standardized CBT were analyzed with homework compliance quality and quantity for different types of homework serving as predictors for different outcome variables. Quality ratings of homework completion were stronger outcome predictors than quantitative compliance ratings. Exposure homework was a better outcome predictor than homework relating to psychoeducation and self-monitoring. Different aspects of homework compliance and specific homework types might differentially relate to CBT outcome. © 2013 Wiley Periodicals, Inc.
New graduate nurse transition programs and clinical leadership skills in novice RNs.
Chappell, Kathy B; Richards, Kathy C; Barnett, Scott D
2014-12-01
The objective of this study was to determine predictors of clinical leadership skill (CLS) for RNs with 24 months of clinical experience or less. New graduate nurse transition programs (NGNTPs) have been proposed as a strategy to increase CLS. CLS is associated with positive patient outcomes. Method used was hierarchical regression modeling to evaluate predictors of CLS among individual characteristics of RNs and characteristics of NGNTPs. Perceived overall quality of an NGNTP was the strongest predictor of CLS (R = 0.041, P < .01). Clinical experience and NGNTP characteristics accounted for 6.9% of the variance in CLS and 12.6% of the variance among RNs with assigned mentors (P < .01). RNs participating in NGNTPs for more than 24 weeks were 21 times more likely to remain employed within the organization when compared with NGNTPs of 12 weeks or less, a significant cost-benefit to the organization. Although perceived overall quality of a NGNTP was the strongest predictor of CLS, much of the variance in CLS remains unexplained.
Hasan, Md Mehedi; Khatun, Mst Shamima; Mollah, Md Nurul Haque; Yong, Cao; Guo, Dianjing
2017-01-01
Lysine succinylation, an important type of protein posttranslational modification, plays significant roles in many cellular processes. Accurate identification of succinylation sites can facilitate our understanding about the molecular mechanism and potential roles of lysine succinylation. However, even in well-studied systems, a majority of the succinylation sites remain undetected because the traditional experimental approaches to succinylation site identification are often costly, time-consuming, and laborious. In silico approach, on the other hand, is potentially an alternative strategy to predict succinylation substrates. In this paper, a novel computational predictor SuccinSite2.0 was developed for predicting generic and species-specific protein succinylation sites. This predictor takes the composition of profile-based amino acid and orthogonal binary features, which were used to train a random forest classifier. We demonstrated that the proposed SuccinSite2.0 predictor outperformed other currently existing implementations on a complementarily independent dataset. Furthermore, the important features that make visible contributions to species-specific and cross-species-specific prediction of protein succinylation site were analyzed. The proposed predictor is anticipated to be a useful computational resource for lysine succinylation site prediction. The integrated species-specific online tool of SuccinSite2.0 is publicly accessible.
Malinoski, Darren J; Daly, Michael C; Patel, Madhukar S; Oley-Graybill, Chrystal; Foster, Clarence E; Salim, Ali
2011-10-01
There is a national shortage of organs available for transplantation. Implementation of preset donor management goals (DMGs) to improve outcomes is recommended, but uniform practices and data are lacking. We hypothesized that meeting DMGs before organ procurement would result in more organs transplanted per donor (OTPD). The eight organ procurement organization in United Network for Organ Sharing Region 5 selected 10 critical care end points as DMGs. Each organ procurement organization submitted retrospective data from 40 standard criteria donors. "DMGs met" was defined as achieving any eight DMGs before procurement. The primary outcome was ≥4 OTPD. Binary logistic regression was used to determine independent predictors of ≥4 OTPD with a p<0.05. Three hundred twenty standard criteria donors had 3.6±1.6 OTPD. Donors with DMGs met had more OTPD (4.4 vs. 3.3, p<0.001) and were more likely to have ≥4 OTPD (70% vs. 39%, p<0.001). Independent predictors of ≥4 OTPD were age (odds ratio [OR]=0.94), serum creatinine (OR=0.65), thyroid hormone use (OR=2.0), "DMGs met" (OR=4.4), and achieving the following individual DMGs: central venous pressure 4 mm Hg to 10 mm Hg (OR=1.9), ejection fraction>50% (OR=4.0), Pao2:FIO2>300 (OR=4.6), and serum sodium 135 to 160 mEq/L (OR=3.4). Meeting DMGs before procurement resulted in more OTPD. Donor factors and critical care end points are independent predictors of organ yield. Prospective studies are needed to determine the true impact of each DMG on the number and function of transplanted organs.
Seasonal precipitation forecasting for the Melbourne region using a Self-Organizing Maps approach
NASA Astrophysics Data System (ADS)
Pidoto, Ross; Wallner, Markus; Haberlandt, Uwe
2017-04-01
The Melbourne region experiences highly variable inter-annual rainfall. For close to a decade during the 2000s, below average rainfall seriously affected the environment, water supplies and agriculture. A seasonal rainfall forecasting model for the Melbourne region based on the novel approach of a Self-Organizing Map has been developed and tested for its prediction performance. Predictor variables at varying lead times were first assessed for inclusion within the model by calculating their importance via Random Forests. Predictor variables tested include the climate indices SOI, DMI and N3.4, in addition to gridded global sea surface temperature data. Five forecasting models were developed: an annual model and four seasonal models, each individually optimized for performance through Pearson's correlation r and the Nash-Sutcliffe Efficiency. The annual model showed a prediction performance of r = 0.54 and NSE = 0.14. The best seasonal model was for spring, with r = 0.61 and NSE = 0.31. Autumn was the worst performing seasonal model. The sea surface temperature data contributed fewer predictor variables compared to climate indices. Most predictor variables were supplied at a minimum lead, however some predictors were found at lead times of up to a year.
Donor Predictors of Allograft Utilization and Recipient Outcomes after Heart Transplantation
Khush, Kiran K.; Menza, Rebecca; Nguyen, John; Zaroff, Jonathan G.; Goldstein, Benjamin A.
2013-01-01
Background Despite a national organ donor shortage and a growing population of patients with end-stage heart disease, the acceptance rate of donor hearts for transplantation is low. We sought to identify donor predictors of allograft non-utilization, and to determine whether these predictors are in fact associated with adverse recipient post-transplant outcomes. Methods and Results We studied a cohort of 1,872 potential organ donors managed by the California Transplant Donor Network from 2001–2008. Forty five percent of available allografts were accepted for heart transplantation. Donor predictors of allograft non-utilization included age>50 years, female sex, death due to cerebrovascular accident, hypertension, diabetes, a positive troponin assay, left ventricular dysfunction and regional wall motion abnormalities, and left ventricular hypertrophy. For hearts that were transplanted, only donor cause of death was associated with prolonged recipient hospitalization post-transplant, and only donor diabetes was predictive of increased recipient mortality. Conclusions While there are many donor predictors of allograft discard in the current era, these characteristics appear to have little effect on recipient outcomes when the hearts are transplanted. Our results suggest that more liberal use of cardiac allografts with relative contraindications may be warranted. PMID:23392789
Yeh, Hsin-Chih; Jan, Hau-Chern; Wu, Wen-Jeng; Li, Ching-Chia; Li, Wei-Ming; Ke, Hung-Lung; Huang, Shu-Pin; Liu, Chia-Chu; Lee, Yung-Chin; Yang, Sheau-Fang; Liang, Peir-In; Huang, Chun-Nung
2015-01-01
Objectives To investigate the impact of preoperative hydronephrosis and flank pain on prognosis of patients with upper tract urothelial carcinoma. Methods In total, 472 patients with upper tract urothelial carcinoma managed by radical nephroureterectomy were included from Kaohsiung Medical University Hospital Healthcare System. Clinicopathological data were collected retrospectively for analysis. The significance of hydronephrosis, especially when combined with flank pain, and other relevant factors on overall and cancer-specific survival were evaluated. Results Of the 472 patients, 292 (62%) had preoperative hydronephrosis and 121 (26%) presented with flank pain. Preoperative hydronephrosis was significantly associated with age, hematuria, flank pain, tumor location, and pathological tumor stage. Concurrent presence of hydronephrosis and flank pain was a significant predictor of non-organ-confined disease (multivariate-adjusted hazard ratio = 2.10, P = 0.025). Kaplan-Meier analysis showed significantly poorer overall and cancer-specific survival in patients with preoperative hydronephrosis (P = 0.005 and P = 0.026, respectively) and in patients with flank pain (P < 0.001 and P = 0.001, respectively) than those without. However, only simultaneous hydronephrosis and flank pain independently predicted adverse outcome (hazard ratio = 1.98, P = 0.016 for overall survival and hazard ratio = 1.87, P = 0.036 for and cancer-specific survival, respectively) in multivariate Cox proportional hazards models. In addition, concurrent presence of hydronephrosis and flank pain was also significantly predictive of worse survival in patient with high grade or muscle-invasive disease. Notably, there was no difference in survival between patients with hydronephrosis but devoid of flank pain and those without hydronephrosis. Conclusion Concurrent preoperative presence of hydronephrosis and flank pain predicted non-organ-confined status of upper tract urothelial carcinoma. When accompanied with flank pain, hydronephrosis represented an independent predictor for worse outcome in patients with upper tract urothelial carcinoma. PMID:26469704
Schulte, Jill K.; Fox, Julie R.; Oron, Assaf P.; Larson, Timothy V.; Simpson, Christopher D.; Paulsen, Michael; Beaudet, Nancy; Kaufman, Joel D.; Magzamen, Sheryl
2016-01-01
With emerging evidence that diesel exhaust exposure poses distinct risks to human health, the need for fine-scale models of diesel exhaust pollutants is growing. We modeled the spatial distribution of several nitrated polycyclic aromatic hydrocarbons (NPAHs) to identify fine-scale gradients in diesel exhaust pollution in two Seattle, WA neighborhoods. Our modeling approach fused land-use regression, meteorological dispersion modeling, and pollutant monitoring from both fixed and mobile platforms. We applied these modeling techniques to concentrations of 1-nitropyrene (1-NP), a highly specific diesel exhaust marker, at the neighborhood scale. We developed models of two additional nitroarenes present in secondary organic aerosol: 2-nitro-pyrene and 2-nitrofluoranthene. Summer predictors of 1-NP, including distance to railroad, truck emissions, and mobile black carbon measurements, showed a greater specificity to diesel sources than predictors of other NPAHs. Winter sampling results did not yield stable models, likely due to regional mixing of pollutants in turbulent weather conditions. The model of summer 1-NP had an R2 of 0.87 and cross-validated R2 of 0.73. The synthesis of high-density sampling and hybrid modeling was successful in predicting diesel exhaust pollution at a very fine scale and identifying clear gradients in NPAH concentrations within urban neighborhoods. PMID:26501773
ERIC Educational Resources Information Center
Rose, Chad Allen; Espelage, Dorothy L.; Monda-Amaya, Lisa E.; Shogren, Karrie A.; Aragon, Steven R.
2015-01-01
The current study investigated demographic variables, sense of belonging, and social supports as predictors for involvement in bullying for students with specific learning disabilities (SLD) and students without disabilities. Although these student groups are characteristically different, results suggested involvement in bullying was invariant.…
Predictors of sustained organizational commitment among nurses with temporary job contracts.
Jalonen, Paivi; Virtanen, Marianna; Vahtera, Jussi; Elovainio, Marko; Kivimaki, Mika
2006-05-01
To examine sociodemographic, work-related factors and psychological health as predictors of sustained organizational commitment among temporary hospital employees. The participants were 412 nurses who had a temporary job contract and reported being committed to their organization at baseline. Organizational commitment was measured again 2 years later. The results of logistic regression analysis showed that age over 35 years, high job control, high participative safety, high perceived justice in decision making, and low psychological distress predicted sustained organizational commitment at follow-up. The change from temporary employment to a permanent job and high job control predicted sustained organizational commitment even after the effect of all the other predictors was taken into account. Organizations that employ temporary workers should pay attention to the job control and career prospects of temporary staff.
Bernardoni, Brittney; Scerpella, Tamara A; Rosenbaum, Paula F; Kanaley, Jill A; Raab, Lindsay N; Li, Quefeng; Wang, Sijian; Dowthwaite, Jodi N
2015-05-01
We prospectively evaluated adolescent organized physical activity (PA) as a factor in adult female bone traits. Annual DXA scans accompanied semiannual records of anthropometry, maturity, and PA for 42 participants in this preliminary analysis (criteria: appropriately timed DXA scans at ~1 year premenarche [predictor] and ~5 years postmenarche [dependent variable]). Regression analysis evaluated total adolescent interscan PA and PA over 3 maturity subphases as predictors of young adult bone outcomes: 1) bone mineral content (BMC), geometry, and strength indices at nondominant distal radius and femoral neck; 2) subhead BMC; 3) lumbar spine BMC. Analyses accounted for baseline gynecological age (years pre- or postmenarche), baseline bone status, adult body size and interscan body size change. Gymnastics training was evaluated as a potentially independent predictor, but did not improve models for any outcomes (p > .07). Premenarcheal bone traits were strong predictors of most adult outcomes (semipartial r2 = .21-0.59, p ≤ .001). Adult 1/3 radius and subhead BMC were predicted by both total PA and PA 1-3 years postmenarche (p < .03). PA 3-5 years postmenarche predicted femoral narrow neck width, endosteal diameter, and buckling ratio (p < .05). Thus, participation in organized physical activity programs throughout middle and high school may reduce lifetime fracture risk in females.
In silico analysis of stomach lineage specific gene set expression pattern in gastric cancer
DOE Office of Scientific and Technical Information (OSTI.GOV)
Pandi, Narayanan Sathiya, E-mail: sathiyapandi@gmail.com; Suganya, Sivagurunathan; Rajendran, Suriliyandi
Highlights: •Identified stomach lineage specific gene set (SLSGS) was found to be under expressed in gastric tumors. •Elevated expression of SLSGS in gastric tumor is a molecular predictor of metabolic type gastric cancer. •In silico pathway scanning identified estrogen-α signaling is a putative regulator of SLSGS in gastric cancer. •Elevated expression of SLSGS in GC is associated with an overall increase in the survival of GC patients. -- Abstract: Stomach lineage specific gene products act as a protective barrier in the normal stomach and their expression maintains the normal physiological processes, cellular integrity and morphology of the gastric wall. However,more » the regulation of stomach lineage specific genes in gastric cancer (GC) is far less clear. In the present study, we sought to investigate the role and regulation of stomach lineage specific gene set (SLSGS) in GC. SLSGS was identified by comparing the mRNA expression profiles of normal stomach tissue with other organ tissue. The obtained SLSGS was found to be under expressed in gastric tumors. Functional annotation analysis revealed that the SLSGS was enriched for digestive function and gastric epithelial maintenance. Employing a single sample prediction method across GC mRNA expression profiles identified the under expression of SLSGS in proliferative type and invasive type gastric tumors compared to the metabolic type gastric tumors. Integrative pathway activation prediction analysis revealed a close association between estrogen-α signaling and SLSGS expression pattern in GC. Elevated expression of SLSGS in GC is associated with an overall increase in the survival of GC patients. In conclusion, our results highlight that estrogen mediated regulation of SLSGS in gastric tumor is a molecular predictor of metabolic type GC and prognostic factor in GC.« less
Integrated Strategy Improves the Prediction Accuracy of miRNA in Large Dataset
Lipps, David; Devineni, Sree
2016-01-01
MiRNAs are short non-coding RNAs of about 22 nucleotides, which play critical roles in gene expression regulation. The biogenesis of miRNAs is largely determined by the sequence and structural features of their parental RNA molecules. Based on these features, multiple computational tools have been developed to predict if RNA transcripts contain miRNAs or not. Although being very successful, these predictors started to face multiple challenges in recent years. Many predictors were optimized using datasets of hundreds of miRNA samples. The sizes of these datasets are much smaller than the number of known miRNAs. Consequently, the prediction accuracy of these predictors in large dataset becomes unknown and needs to be re-tested. In addition, many predictors were optimized for either high sensitivity or high specificity. These optimization strategies may bring in serious limitations in applications. Moreover, to meet continuously raised expectations on these computational tools, improving the prediction accuracy becomes extremely important. In this study, a meta-predictor mirMeta was developed by integrating a set of non-linear transformations with meta-strategy. More specifically, the outputs of five individual predictors were first preprocessed using non-linear transformations, and then fed into an artificial neural network to make the meta-prediction. The prediction accuracy of meta-predictor was validated using both multi-fold cross-validation and independent dataset. The final accuracy of meta-predictor in newly-designed large dataset is improved by 7% to 93%. The meta-predictor is also proved to be less dependent on datasets, as well as has refined balance between sensitivity and specificity. This study has two folds of importance: First, it shows that the combination of non-linear transformations and artificial neural networks improves the prediction accuracy of individual predictors. Second, a new miRNA predictor with significantly improved prediction accuracy is developed for the community for identifying novel miRNAs and the complete set of miRNAs. Source code is available at: https://github.com/xueLab/mirMeta PMID:28002428
Peters, Thomas T A; van Dijk, Boukje A C; Roodenburg, Jan L N; van der Laan, Bernard F A M; Halmos, Gyorgy B
2014-03-01
Multiple factors have been identified as predictors of complication after head and neck surgery. However, little is known about the exact role of different comorbid conditions in the development of postoperative complications. This question is especially interesting in the elderly population. The aim of this study was to investigate the association between comorbidity and types of postoperative complications with special attention to age differences. A retrospective analysis was performed of 1,201 major surgical interventions for head and neck malignancies in a tertiary referral center between 1995 and 2010. The Adult Comorbidity Evaluation 27 (ACE-27) index was used to analyze severity (mild, moderate, and severe comorbidity) and type (12 different organ systems) of comorbidity. The Clavien-Dindo index was used to evaluate grade and type of complications after treatment. In univariate analysis gender, comorbidity, stage, mandibulectomy, total laryngectomy, neck dissection, and length of surgery significantly predicted grade of complication. In a multivariate analysis, complication was predicted by age, stage, length of surgery, and various comorbidities. After specification of the complications, age was only a predictor of medical complications; tumor stage was a significant factor in surgical complications. Length of surgery was the only significant variable in all types of complications. Specific comorbidities are associated with specific complications; however, age itself seems not to be a contraindication for major head and neck surgery. With careful preoperative assessment and risk analysis, physicians can better individualize treatment recommendations.
Saleem, Taimur; Ishaque, Sidra; Habib, Nida; Hussain, Syedda Saadia; Jawed, Areeba; Khan, Aamir Ali; Ahmad, Muhammad Imran; Iftikhar, Mian Omer; Mughal, Hamza Pervez; Jehan, Imtiaz
2009-01-01
Background To determine the knowledge, attitudes and practices regarding organ donation in a selected adult population in Pakistan. Methods Convenience sampling was used to generate a sample of 440; 408 interviews were successfully completed and used for analysis. Data collection was carried out via a face to face interview based on a pre-tested questionnaire in selected public areas of Karachi, Pakistan. Data was analyzed using SPSS v.15 and associations were tested using the Pearson's Chi square test. Multiple logistic regression was used to find independent predictors of knowledge status and motivation of organ donation. Results Knowledge about organ donation was significantly associated with education (p = 0.000) and socioeconomic status (p = 0.038). 70/198 (35.3%) people expressed a high motivation to donate. Allowance of organ donation in religion was significantly associated with the motivation to donate (p = 0.000). Multiple logistic regression analysis revealed that higher level of education and higher socioeconomic status were significant (p < 0.05) independent predictors of knowledge status of organ donation. For motivation, multiple logistic regression revealed that higher socioeconomic status, adequate knowledge score and belief that organ donation is allowed in religion were significant (p < 0.05) independent predictors. Television emerged as the major source of information. Only 3.5% had themselves donated an organ; with only one person being an actual kidney donor. Conclusion Better knowledge may ultimately translate into the act of donation. Effective measures should be taken to educate people with relevant information with the involvement of media, doctors and religious scholars. PMID:19534793
Leviten-Reid, Catherine; Hoyt, Ann
2009-06-01
In the province of Québec, services focusing on the instrumental activities of daily living are delivered to seniors by a combination of non-profit organizations and cooperatives. But do these organizations perform differently? This study asks whether home support cooperatives deliver higher-quality care than non-profit home support agencies. The specific effects of consumer and worker participation on the board of directors are also tested. Data were collected in 2006 and 2007 from 831 individuals receiving home support services from nine cooperatives and nine non-profits. Two consumer-centered measures of quality were used: a summated, 39-point satisfaction score and a 4-point overall quality score. Data were analyzed using ordered logistic regression. Results show that although organizational type was not a predictor of the two quality outcomes, worker involvement in governance was positively associated with the satisfaction score, while consumer involvement was positively associated with the overall quality score.
Al-Lamki, Rafia S; Bradley, John R; Pober, Jordan S
2017-01-01
Human studies, critical for developing new diagnostics and therapeutics, are limited by ethical and logistical issues, and preclinical animal studies are often poor predictors of human responses. Standard human cell cultures can address some of these concerns but the absence of the normal tissue microenvironment can alter cellular responses. Three-dimensional cultures that position cells on synthetic matrices, or organoid or organ-on-a-chip cultures, in which different cell spontaneously organize contacts with other cells and natural matrix only partly overcome this limitation. Here, we review how human organ cultures (HOCs) can more faithfully preserve in vivo tissue architecture and can better represent disease-associated changes. We will specifically describe how HOCs can be combined with both traditional and more modern morphological techniques to reveal how anatomic location can alter cellular responses at a molecular level and permit comparisons among different cells and different cell types within the same tissue. Examples are provided involving use of HOCs to study inflammation, cancer, and stem cell biology.
Al-Lamki, Rafia S.; Bradley, John R.; Pober, Jordan S.
2017-01-01
Human studies, critical for developing new diagnostics and therapeutics, are limited by ethical and logistical issues, and preclinical animal studies are often poor predictors of human responses. Standard human cell cultures can address some of these concerns but the absence of the normal tissue microenvironment can alter cellular responses. Three-dimensional cultures that position cells on synthetic matrices, or organoid or organ-on-a-chip cultures, in which different cell spontaneously organize contacts with other cells and natural matrix only partly overcome this limitation. Here, we review how human organ cultures (HOCs) can more faithfully preserve in vivo tissue architecture and can better represent disease-associated changes. We will specifically describe how HOCs can be combined with both traditional and more modern morphological techniques to reveal how anatomic location can alter cellular responses at a molecular level and permit comparisons among different cells and different cell types within the same tissue. Examples are provided involving use of HOCs to study inflammation, cancer, and stem cell biology. PMID:28955710
ERIC Educational Resources Information Center
Simon-Cereijido, Gabriela; Gutierrez-Clellen, Vera F.; Sweet, Monica
2013-01-01
We investigated the factors that may help understand the differential rates of language development in the home language (i.e., Spanish) of Latino preschoolers with specific language impairment. Children were randomly assigned to either bilingual or English-only small group interventions and followed from preschool to kindergarten. Predictors of…
The CPI Subscales as Predictors of Parental Coping with Childhood Leukemia.
ERIC Educational Resources Information Center
Kupst, Mary Jo; Schulman, Jerome L.
1981-01-01
Determined the role of the California Psychological Inventory (CPI) in prediction of parental coping with leukemia. None of the standard CPI subscales was a significant predictor of coping. Coping with the specific situation may be a better predictor of later coping with a similar situation than more global assessments. (Author)
Health Conditions and Perceived Quality of Life in Retirement.
ERIC Educational Resources Information Center
Dorfman, Lorraine T.
1995-01-01
Investigates the effects of specific health conditions on perceived quality of life for retirees (n=451). Pulmonary disease was a predictor of dissatisfaction for both sexes. Pulmonary disease and heart attack were the strongest predictors of dissatisfaction with health for men, followed closely by stroke. Arthritis was the strongest predictor of…
Organization Development. Symposium.
ERIC Educational Resources Information Center
2002
This document contains four papers on organization development and human resources. "Identification of Key Predictors of Rapid Change Adaptation in a Service Organization" (Constantine Kontoghiorghes, Carol Hansen) reports on the results of an exploratory study, which suggests that rapid change adaptation will be more likely to occur in…
Predicting global variation in infectious disease severity: A bottom-up approach.
Jensen, Per M; De Fine Licht, Henrik H
2016-02-15
Understanding the underlying causes for the variation in case-fatality-ratios (CFR) is important for assessing the mechanism governing global disparity in the burden of infectious diseases. Variation in CFR is likely to be driven by factors such as population genetics, demography, transmission patterns and general health status. We present data here that support the hypothsis that changes in CFRs for specific diseases may be the result of serial passage through different hosts. For example passage through adults may lead to lower CFR, whereas passage through children may have the opposite effect. Accordingly changes in CFR may occur in parallel with demographic transitions. We explored the predictability of CFR using data obtained from the World Health Organization (WHO) disease databases for four human diseases: mumps, malaria, tuberculosis and leptospirosis and assessed these for association with a range of population characteristics, such as crude birth and death rates, median age of the population, mean body mass index, proportion living in urban areas and tuberculosis vaccine coverage. We then tested this predictive model on Danish historical demographic and population data. Birth rates were the best predictor for mumps and malaria CFR. For tuberculosis CFR death rates were the best predictor and for leptospirosis population density was a significant predictor. CFR predictors differed among diseases according to their biology. We suggest that the overall result reflects an interaction between the forces driving demographic change and the virulence of human-to-human transmitted diseases. © The Author(s) 2016. Published by Oxford University Press on behalf of the Foundation for Evolution, Medicine, and Public Health.
de Paula, Jonas J.; Diniz, Breno S.; Bicalho, Maria A.; Albuquerque, Maicon Rodrigues; Nicolato, Rodrigo; de Moraes, Edgar N.; Romano-Silva, Marco A.; Malloy-Diniz, Leandro F.
2015-01-01
Cognitive functioning influences activities of daily living (ADL). However, studies reporting the association between ADL and neuropsychological performance show inconsistent results regarding what specific cognitive domains are related to each specific functional domains. Additionally, whether depressive symptoms are associated with a worse functional performance in older adults is still under explored. We investigated if specific cognitive domains and depressive symptoms would affect different aspects of ADL. Participants were 274 older adults (96 normal aging participants, 85 patients with mild cognitive impairment, and 93 patients probable with mild Alzheimer’s disease dementia) with low formal education (∼4 years). Measures of ADL included three complexity levels: Self-care, Instrumental-Domestic, and Instrumental-Complex. The specific cognitive functions were evaluated through a factorial strategy resulting in four cognitive domains: Executive Functions, Language/Semantic Memory, Episodic Memory, and Visuospatial Abilities. The Geriatric Depression Scale measured depressive symptoms. Multiple linear regression analysis showed executive functions and episodic memory as significant predictors of Instrumental-Domestic ADL, and executive functions, episodic memory and language/semantic memory as predictors of Instrumental-Complex ADL (22 and 28% of explained variance, respectively). Ordinal regression analysis showed the influence of specific cognitive functions and depressive symptoms on each one of the instrumental ADL. We observed a heterogeneous pattern of association with explained variance ranging from 22 to 38%. Different instrumental ADL had specific cognitive predictors and depressive symptoms were predictive of ADL involving social contact. Our results suggest a specific pattern of influence depending on the specific instrumental daily living activity. PMID:26257644
Elliot, Andrew J; Sedikides, Constantine; Murayama, Kou; Tanaka, Ayumi; Thrash, Todd M; Mapes, Rachel R
2012-10-01
The authors examined avoidance personal goals as concurrent (Study 1) and longitudinal (Study 2) predictors of multiple aspects of well-being in the United States and Japan. In both studies, participants adopted more avoidance personal goals in Japan relative to the United States. Both studies also demonstrated that avoidance personal goals were significant negative predictors of the most relevant aspects of well-being in each culture. Specifically, avoidance personal goals were negative predictors of intrapersonal and eudaimonic well-being in the United States and were negative predictors of interpersonal and eudaimonic well-being in Japan. The findings clarify and extend puzzling findings from prior empirical work in this area, and raise provocative possibilities about the nature of avoidance goal pursuit.
Guilbaud, Théophile; Birnbaum, David Jérémie; Lemoine, Coralie; Chirica, Mircea; Risse, Olivier; Berdah, Stéphane; Girard, Edouard; Moutardier, Vincent
2018-05-01
Postoperative pancreatic fistula and pancreas-specific complications have a significant influence on patient management and outcomes after pancreatoduodenectomy. The aim of the study was to assess the value of serum C-reactive protein on the postoperative day 1 as early predictor of pancreatic fistula and pancreas-specific complications. Between 2013 and 2016, 110 patients underwent pancreaticoduodenectomy. Clinical, biological, intraoperative, and pathological characteristics were prospectively recorded. Pancreatic fistula was graded according to the International Study Group on Pancreatic Fistula classification. A composite endpoint was defined as pancreas-specific complications including pancreatic fistula, intra-abdominal abscess, postoperative hemorrhage, and bile leak. The diagnostic accuracy of serum C-reactive protein on postoperative day 1 in predicting adverse postoperative outcomes was assessed by ROC curve analysis. Six patients (5%) died and 87 (79%) experienced postoperative complications (pancreatic-specific complications: n = 58 (53%); pancreatic fistula: n = 48 (44%)). A soft pancreatic gland texture, a main pancreatic duct diameter < 3 mm and serum C-reactive protein ≥ 100 mg/L on postoperative day 1 were independent predictors of pancreas-specific complications (p < 0.01) and pancreatic fistula (p < 0.01). ROC analysis showed that serum C-reactive protein ≥ 100 mg/L on postoperative day 1 was a significant predictor of pancreatic fistula (AUC: 0.70; 95%CI: 0.60-0.79, p < 0.01) and pancreas-specific complications (AUC: 0.72; 95%CI: 0.62-0.82, p < 0.01). ROC analysis showed that serum C-reactive protein ≥ 50 mg/L at discharge was a significant predictor of 90-day hospital readmission (AUC: 0.70; 95%CI: 0.60-0.79, p < 0.01). C-reactive protein levels reliably predict risks of pancreatic fistula, pancreas-specific complications, and hospital readmission, and should be inserted in risk-stratified management algorithms after pancreaticoduodenectomy.
Zarour, Ahmad; El-Menyar, Ayman; Khattabi, Mazen; Tayyem, Raed; Hamed, Osama; Mahmood, Ismail; Abdelrahman, Husham; Chiu, William; Al-Thani, Hassan
2014-01-01
To develop a scoring tool based on clinical and radiological findings for early diagnosis and intervention in hemodynamically stable patients with traumatic bowel and mesenteric injury (TBMI) without obvious solid organ injury (SOI). A retrospective analysis was conducted for all traumatic abdominal injury patients in Qatar from 2008 to 2011. Data included demographics and clinical, radiological and operative findings. Multivariate logistic regression was performed to analyze the predictors for the need of therapeutic laparotomy. A total of 105 patients met the inclusion criteria with a mean age of 33 ± 15. Motor Vehicle Crashes (58%) and fall (21%) were the major MOI. Using Receiver operating characteristic curve, Z-score of >9 was the cutoff point (AUC = 0.98) for high probability of the presence of TBMI requiring surgical intervention. Z-Score >9 was found to have sensitivity (96.7%), specificity (97.4%), PPV (93.5%) and NPV (98.7%). Multivariate regression analysis found Z-score (>9) to be an independent predictor for the need of exploratory laparotomy (OR7.0; 95% CI: 2.46-19.78, p = 0.001). This novel tool for early diagnosis of TBMI is found to be simple and helpful in selecting stable patients with free intra-abdominal fluid without SOI for exploratory Laparotomy. However, further prospective studies are warranted. Copyright © 2014 Surgical Associates Ltd. Published by Elsevier Ltd. All rights reserved.
Wilson, Anna C; Lengua, Liliana J; Meltzoff, Andrew N; Smith, Kimberly A
2010-01-01
Parenting is related to children's adjustment, but little research has examined the role of parenting in children's responses to disasters. This study describes parenting responses specific to the 9/11 terrorist attacks and examines pre-9/11 parenting, child temperament, and 9/11-specific parenting as predictors of children's posttraumatic stress (PTS) symptoms among children geographically distant from the attack locations. A community sample of children and parents (n = 137, ages 9-13 years) participating in an ongoing study were interviewed 1 month following 9/11. Parents reported engaging in a number of parenting responses following 9/11. Pre-9/11 acceptance and 9/11-specific, self-focused parental responses predicted PTS symptoms. Pre-9/11 parenting and temperament interacted to predict PTS symptoms, suggesting that parenting and temperament are important prospective predictors of children's responses to indirect exposure to disasters.
The Relationship between Learning Organization Dimensions and Library Performance
ERIC Educational Resources Information Center
Haley, Qing Kong
2010-01-01
The purpose of this research was to examine the relationship between learning organization dimensions and academic library performance. It studied whether differences existed in learning organization dimensions given the predictor variables of performance indicators, library resources, and demographics of the academic library. This research…
Ginossar, Tamar; Benavidez, Julian; Gillooly, Zachary D; Kanwal Attreya, Aarti; Nguyen, Hieu; Bentley, Joshua
2017-03-01
Context and Setting: New Mexico (NM) is a minority-majority state. Despite its unique cultural characteristics and documented ethnic/racial disparities in deceased organ donation (DOD), past studies did not explore predictors of organ donor registration status (ODRS) in this state. This study aimed at identifying demographic, cultural, and religious predictors of ODRS among a diverse sample of young adults in NM. This study focused on recruitment of American Indian, Hispanic, and Asian American participants through online social network sites and university listservs. Participants (N = 602) answered an online survey. The largest racial/ethnic group included American Indians (n = 200). Main outcome measures included ODRS, demographics, religious affiliation, and open-ended question on reasons for objections to DOD. Race/ethnicity, religion, and educational attainment were significant predictors of ODRS. Non-Hispanic whites (NHWs) were most likely to be registered as donors, with no significant difference between NHWs and Asians or Pacific Islanders. Non-Catholic Christians were most likely to be registered donors, followed by Catholics, practitioners of American Indian/Native American traditional religions, and Hindus, with Buddhists the least likely to register. This pattern was consistent with the propensity of individuals from these religious groups to cite religious objections to DOD. Finally, respondents who had graduated from high schools in NM were 2.3 times less likely to be registered as organ donors compared to those who had graduated in other states. This study provides evidence for the need for culturally tailored interventions targeting diverse communities in NM.
Nitrogen reduction pathways in estuarine sediments: Influences of organic carbon and sulfide
NASA Astrophysics Data System (ADS)
Plummer, Patrick; Tobias, Craig; Cady, David
2015-10-01
Potential rates of sediment denitrification, anaerobic ammonium oxidation (anammox), and dissimilatory nitrate reduction to ammonium (DNRA) were mapped across the entire Niantic River Estuary, CT, USA, at 100-200 m scale resolution consisting of 60 stations. On the estuary scale, denitrification accounted for ~ 90% of the nitrogen reduction, followed by DNRA and anammox. However, the relative importance of these reactions to each other was not evenly distributed through the estuary. A Nitrogen Retention Index (NIRI) was calculated from the rate data (DNRA/(denitrification + anammox)) as a metric to assess the relative amounts of reactive nitrogen being recycled versus retained in the sediments following reduction. The distribution of rates and accompanying sediment geochemical analytes suggested variable controls on specific reactions, and on the NIRI, depending on position in the estuary and that these controls were linked to organic carbon abundance, organic carbon source, and pore water sulfide concentration. The relationship between NIRI and organic carbon abundance was dependent on organic carbon source. Sulfide proved the single best predictor of NIRI, accounting for 44% of its observed variance throughout the whole estuary. We suggest that as a single metric, sulfide may have utility as a proxy for gauging the distribution of denitrification, anammox, and DNRA.
Medicaid Reimbursement of Mental Health Peer-Run Organizations: Results of a National Survey.
Ostrow, Laysha; Steinwachs, Donald; Leaf, Philip J; Naeger, Sarah
2017-07-01
This study sought to understand whether knowledge of the Affordable Care Act (ACA) was associated with willingness of mental health peer-run organizations to become Medicaid providers. Through the 2012 National Survey of Peer-Run Organizations, organizational directors reported their organization's willingness to accept Medicaid reimbursement and knowledge about the ACA. Multinomial logistic regression was used to model the association between willingness to accept Medicaid and the primary predictor of knowledge of the ACA, as well as other predictors at the organizational and state levels. Knowledge of the ACA, Medicaid expansion, and discussions about healthcare reform were not significantly associated with willingness to be a Medicaid provider. Having fewer paid staff was associated with not being willing to be a Medicaid provider, suggesting that current staffing capacity is related to attitudes about becoming a Medicaid provider. Organizations had both ideological and practical concerns about Medicaid reimbursement. Concerns about Medicaid reimbursement can potentially be addressed through alternative financing mechanisms that should be able to meet the needs of peer-run organizations.
Using association rules to measure Subjective Organization after Acquired Brain Injury.
Parente, Frederick; Finley, John-Christopher
2018-01-01
Subjective Organization (SO) refers to the human tendency to impose organization on our environment. Persons with Acquired Brain Injury (ABI) often lose the ability to organize however, there are no performance based measures of organization that can be used to document this disability. The authors propose a method of association rule analysis (AR) that can be used as a clinical tool for assessing a patient's ability to organize. Twenty three patients with ABI recalled a list of twelve unrelated nouns over twelve study and test trials. Several measures of AR computed on these data were correlated with various measures of short-term, long-term, and delayed recall of the words. All of the AR measures correlated significantly with the short-term and long-term memory measures. The confidence measure was the best predictor of memory and the number of association rules generated was the best predictor of learning. The confidence measure can be used as a clinical tool to assess SO with individual ABI survivors.
Siemonsma, Petra C; Stuvie, Ilse; Roorda, Leo D; Vollebregt, Joke A; Lankhorst, Gustaaf J; Lettinga, Ant T
2011-04-01
The aim of this study was to identify treatment-specific predictors of the effectiveness of a method of evidence-based treatment: cognitive treatment of illness perceptions. This study focuses on what treatment works for whom, whereas most prognostic studies focusing on chronic non-specific low back pain rehabilitation aim to reduce the heterogeneity of the population of patients who are suitable for rehabilitation treatment in general. Three treatment-specific predictors were studied in patients with chronic non-specific low back pain receiving cognitive treatment of illness perceptions: a rational approach to problem-solving, discussion skills and verbal skills. Hierarchical linear regression analysis was used to assess their predictive value. Short-term changes in physical activity, measured with the Patient-Specific Functioning List, were the outcome measure for cognitive treatment of illness perceptions effect. A total of 156 patients with chronic non-specific low back pain participated in the study. Rational problem-solving was found to be a significant predictor for the change in physical activity. Discussion skills and verbal skills were non-significant. Rational problem-solving explained 3.9% of the total variance. The rational problem-solving scale results are encouraging, because chronic non-specific low back pain problems are complex by nature and can be influenced by a variety of factors. A minimum score of 44 points on the rational problem-solving scale may assist clinicians in selecting the most appropriate candidates for cognitive treatment of illness perceptions.
ERIC Educational Resources Information Center
Sprang, Ginny; Craig, Carlton; Clark, James
2011-01-01
This study describes predictors of secondary traumatic stress and burnout in a national sample of helping professionals, with a specific focus on the unique responses of child welfare (CW) workers. Specific worker and exposure characteristics are examined as possible predictors of these forms of occupational distress in a sample of 669…
Emotional Intelligence and Personality as Predictors of Psychological Well-Being
ERIC Educational Resources Information Center
James, Colin; Bore, Miles; Zito, Susanna
2012-01-01
Research studies have reported elevated rates of psychological distress (e.g., depression) in practicing lawyers yet little research has examined predictors of such problems in law students. Specific personality traits have been shown to be predictors of a range of psychological problems. We administered a battery of tests to a cohort of 1st-year…
Organic Wheat Farming Improves Grain Zinc Concentration
Helfenstein, Julian; Müller, Isabel; Grüter, Roman; Bhullar, Gurbir; Mandloi, Lokendra; Papritz, Andreas; Siegrist, Michael; Schulin, Rainer; Frossard, Emmanuel
2016-01-01
Zinc (Zn) nutrition is of key relevance in India, as a large fraction of the population suffers from Zn malnutrition and many soils contain little plant available Zn. In this study we compared organic and conventional wheat cropping systems with respect to DTPA (diethylene triamine pentaacetic acid)-extractable Zn as a proxy for plant available Zn, yield, and grain Zn concentration. We analyzed soil and wheat grain samples from 30 organic and 30 conventional farms in Madhya Pradesh (central India), and conducted farmer interviews to elucidate sociological and management variables. Total and DTPA-extractable soil Zn concentrations and grain yield (3400 kg ha-1) did not differ between the two farming systems, but with 32 and 28 mg kg-1 respectively, grain Zn concentrations were higher on organic than conventional farms (t = -2.2, p = 0.03). Furthermore, multiple linear regression analyses revealed that (a) total soil zinc and sulfur concentrations were the best predictors of DTPA-extractable soil Zn, (b) Olsen phosphate taken as a proxy for available soil phosphorus, exchangeable soil potassium, harvest date, training of farmers in nutrient management, and soil silt content were the best predictors of yield, and (c) yield, Olsen phosphate, grain nitrogen, farmyard manure availability, and the type of cropping system were the best predictors of grain Zn concentration. Results suggested that organic wheat contained more Zn despite same yield level due to higher nutrient efficiency. Higher nutrient efficiency was also seen in organic wheat for P, N and S. The study thus suggests that appropriate farm management can lead to competitive yield and improved Zn concentration in wheat grains on organic farms. PMID:27537548
Organic Wheat Farming Improves Grain Zinc Concentration.
Helfenstein, Julian; Müller, Isabel; Grüter, Roman; Bhullar, Gurbir; Mandloi, Lokendra; Papritz, Andreas; Siegrist, Michael; Schulin, Rainer; Frossard, Emmanuel
2016-01-01
Zinc (Zn) nutrition is of key relevance in India, as a large fraction of the population suffers from Zn malnutrition and many soils contain little plant available Zn. In this study we compared organic and conventional wheat cropping systems with respect to DTPA (diethylene triamine pentaacetic acid)-extractable Zn as a proxy for plant available Zn, yield, and grain Zn concentration. We analyzed soil and wheat grain samples from 30 organic and 30 conventional farms in Madhya Pradesh (central India), and conducted farmer interviews to elucidate sociological and management variables. Total and DTPA-extractable soil Zn concentrations and grain yield (3400 kg ha-1) did not differ between the two farming systems, but with 32 and 28 mg kg-1 respectively, grain Zn concentrations were higher on organic than conventional farms (t = -2.2, p = 0.03). Furthermore, multiple linear regression analyses revealed that (a) total soil zinc and sulfur concentrations were the best predictors of DTPA-extractable soil Zn, (b) Olsen phosphate taken as a proxy for available soil phosphorus, exchangeable soil potassium, harvest date, training of farmers in nutrient management, and soil silt content were the best predictors of yield, and (c) yield, Olsen phosphate, grain nitrogen, farmyard manure availability, and the type of cropping system were the best predictors of grain Zn concentration. Results suggested that organic wheat contained more Zn despite same yield level due to higher nutrient efficiency. Higher nutrient efficiency was also seen in organic wheat for P, N and S. The study thus suggests that appropriate farm management can lead to competitive yield and improved Zn concentration in wheat grains on organic farms.
Bernardoni, Brittney; Scerpella, Tamara A.; Rosenbaum, Paula F.; Kanaley, Jill A.; Raab, Lindsay N.; Li, Quefeng; Wang, Sijian; Dowthwaite, Jodi N.
2015-01-01
We prospectively evaluated adolescent organized physical activity (PA) as a factor in adult female bone traits. Annual DXA scans accompanied semi-annual records of anthropometry, maturity and PA for 42 participants in this preliminary analysis (criteria: appropriately timed DXA scans at ~1 year pre-menarche [predictor] and ~5 years post-menarche [dependent variable]). Regression analysis evaluated total adolescent inter-scan PA and PA over 3 maturity sub-phases as predictors of young adult bone outcomes: 1) bone mineral content (BMC), geometry and strength indices at non-dominant distal radius and femoral neck; 2) sub-head BMC; 3) lumbar spine BMC. Analyses accounted for baseline gynecological age (years pre- or post-menarche), baseline bone status, adult body size and inter-scan body size change. Gymnastics training was evaluated as a potentially independent predictor, but did not improve models for any outcomes (p<0.07). Pre-menarcheal bone traits were strong predictors of most adult outcomes (semi-partial r2 = 0.21-0.59, p≤0.001). Adult 1/3 radius and sub-head BMC were predicted by both total PA and PA 1-3 years post-menarche (p<0.03). PA 3-5 years post-menarche predicted femoral narrow neck width, endosteal diameter and buckling ratio (p<0.05). Thus, participation in organized physical activity programs throughout middle and high school may reduce lifetime fracture risk in females. PMID:25386845
Schwab, S M; Menge, J A; Leonard, R T
1983-11-01
A comparison was made of water-soluble root exudates and extracts of Sorghum vulgare Pers. grown under two levels of P nutrition. An increase in P nutrition significantly decreased the concentration of carbohydrates, carboxylic acids, and amino acids in exudates, and decreased the concentration of carboxylic acids in extracts. Higher P did not affect the relative proportions of specific carboxylic acids and had little effect on proportions of specific amino acids in both extracts and exudates. Phosphorus amendment resulted in an increase in the relative proportion of arabinose and a decrease in the proportion of fructose in exudates, but did not have a large effect on the proportion of individual sugars in extracts. The proportions of specific carbohydrates, carboxylic acids, and amino acids varied between exudates and extracts. Therefore, the quantity and composition of root extracts may not be a reliable predictor of the availability of substrate for symbiotic vesicular-arbuscular mycorrhizal fungi. Comparisons of the rate of leakage of compounds from roots with the growth rate of vesicular-arbuscular mycorrhizal fungi suggest that the fungus must either be capable of using a variety of organic substrates for growth, or be capable of inducing a much higher rate of movement of specific organic compounds across root cell membranes than occurs through passive exudation as measured in this study.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Bostani, Maryam, E-mail: mbostani@mednet.ucla.edu; McMillan, Kyle; Lu, Peiyun
2015-02-15
Purpose: Task Group 204 introduced effective diameter (ED) as the patient size metric used to correlate size-specific-dose-estimates. However, this size metric fails to account for patient attenuation properties and has been suggested to be replaced by an attenuation-based size metric, water equivalent diameter (D{sub W}). The purpose of this study is to investigate different size metrics, effective diameter, and water equivalent diameter, in combination with regional descriptions of scanner output to establish the most appropriate size metric to be used as a predictor for organ dose in tube current modulated CT exams. Methods: 101 thoracic and 82 abdomen/pelvis scans frommore » clinically indicated CT exams were collected retrospectively from a multidetector row CT (Sensation 64, Siemens Healthcare) with Institutional Review Board approval to generate voxelized patient models. Fully irradiated organs (lung and breasts in thoracic scans and liver, kidneys, and spleen in abdominal scans) were segmented and used as tally regions in Monte Carlo simulations for reporting organ dose. Along with image data, raw projection data were collected to obtain tube current information for simulating tube current modulation scans using Monte Carlo methods. Additionally, previously described patient size metrics [ED, D{sub W}, and approximated water equivalent diameter (D{sub Wa})] were calculated for each patient and reported in three different ways: a single value averaged over the entire scan, a single value averaged over the region of interest, and a single value from a location in the middle of the scan volume. Organ doses were normalized by an appropriate mAs weighted CTDI{sub vol} to reflect regional variation of tube current. Linear regression analysis was used to evaluate the correlations between normalized organ doses and each size metric. Results: For the abdominal organs, the correlations between normalized organ dose and size metric were overall slightly higher for all three differently (global, regional, and middle slice) reported D{sub W} and D{sub Wa} than they were for ED, but the differences were not statistically significant. However, for lung dose, computed correlations using water equivalent diameter calculated in the middle of the image data (D{sub W,middle}) and averaged over the low attenuating region of lung (D{sub W,regional}) were statistically significantly higher than correlations of normalized lung dose with ED. Conclusions: To conclude, effective diameter and water equivalent diameter are very similar in abdominal regions; however, their difference becomes noticeable in lungs. Water equivalent diameter, specifically reported as a regional average and middle of scan volume, was shown to be better predictors of lung dose. Therefore, an attenuation-based size metric (water equivalent diameter) is recommended because it is more robust across different anatomic regions. Additionally, it was observed that the regional size metric reported as a single value averaged over a region of interest and the size metric calculated from a single slice/image chosen from the middle of the scan volume are highly correlated for these specific patient models and scan types.« less
2018-01-01
Purpose The purpose of this study was to investigate disability among patients who were accepted for admission to a Norwegian rehabilitation center and to identify predictors of disability. Materials and methods In a cross-sectional study including 967 adult participants, the World Health Organization Disability Assessment Schedule version 2.0 36-item version was used for assessing overall and domain-specific disability as outcome variables. Patients completed the Hospital Anxiety and Depression Scale (HADS), EuroQoL EQ-5D-5L and questions about multi-morbidity, smoking and perceived physical fitness. Additionally, the main health condition, sociodemographic and environmental variables obtained from referrals and public registers were used as predictor variables. Descriptive statistics and linear regression analyses were performed. Results The mean (standard error) overall disability score was 30.0 (0.5), domain scores ranged from 11.9 to 44.7. Neurological diseases, multi-morbidity, low education, impaired physical fitness, pain, and higher HADS depressive score increased the overall disability score. A low HADS depressive score predicted a lower disability score in all domains. Conclusions A moderate overall disability score was found among patients accepted for admission to a rehabilitation center but “life activities” and “participation in society” had the highest domain scores. This should be taken into account when rehabilitation strategies are developed. PMID:29499064
Enhancing informed consent for research and treatment.
Dunn, L B; Jeste, D V
2001-06-01
Increased scrutiny of informed consent calls for further research into decision making by patients who may be at risk for impairments. We review interventions designed to improve patient understanding of informed consent. A number of studies, within as well as outside psychiatry, have evaluated the effectiveness of specific interventions, as well as possible "predictors" of understanding of consent, such as subject characteristics, psychiatric symptoms, and cognitive impairment. Deficits in patients' understanding of informed consent may be partially related to poorly conceived, written, or organized informed consent materials; these deficits may be remediable with educational interventions. We find that effective interventions include corrected feedback, multiple learning trials, and more organized or simplified consent forms. Educational levels of patients generally correlate with levels of understanding. Even among individuals with psychiatric illness or cognitive impairment, deficits in understanding can be remedied with certain educational interventions. A variety of interventions can enhance understanding of informed consent.
Wu, Zheyang; Yang, Chun; Tang, Dalin
2011-06-01
It has been hypothesized that mechanical risk factors may be used to predict future atherosclerotic plaque rupture. Truly predictive methods for plaque rupture and methods to identify the best predictor(s) from all the candidates are lacking in the literature. A novel combination of computational and statistical models based on serial magnetic resonance imaging (MRI) was introduced to quantify sensitivity and specificity of mechanical predictors to identify the best candidate for plaque rupture site prediction. Serial in vivo MRI data of carotid plaque from one patient was acquired with follow-up scan showing ulceration. 3D computational fluid-structure interaction (FSI) models using both baseline and follow-up data were constructed and plaque wall stress (PWS) and strain (PWSn) and flow maximum shear stress (FSS) were extracted from all 600 matched nodal points (100 points per matched slice, baseline matching follow-up) on the lumen surface for analysis. Each of the 600 points was marked "ulcer" or "nonulcer" using follow-up scan. Predictive statistical models for each of the seven combinations of PWS, PWSn, and FSS were trained using the follow-up data and applied to the baseline data to assess their sensitivity and specificity using the 600 data points for ulcer predictions. Sensitivity of prediction is defined as the proportion of the true positive outcomes that are predicted to be positive. Specificity of prediction is defined as the proportion of the true negative outcomes that are correctly predicted to be negative. Using probability 0.3 as a threshold to infer ulcer occurrence at the prediction stage, the combination of PWS and PWSn provided the best predictive accuracy with (sensitivity, specificity) = (0.97, 0.958). Sensitivity and specificity given by PWS, PWSn, and FSS individually were (0.788, 0.968), (0.515, 0.968), and (0.758, 0.928), respectively. The proposed computational-statistical process provides a novel method and a framework to assess the sensitivity and specificity of various risk indicators and offers the potential to identify the optimized predictor for plaque rupture using serial MRI with follow-up scan showing ulceration as the gold standard for method validation. While serial MRI data with actual rupture are hard to acquire, this single-case study suggests that combination of multiple predictors may provide potential improvement to existing plaque assessment schemes. With large-scale patient studies, this predictive modeling process may provide more solid ground for rupture predictor selection strategies and methods for image-based plaque vulnerability assessment.
Sung, Connie; Sánchez, Jennifer; Kuo, Hung-Jen; Wang, Chia-Chiang; Leahy, Michael J
2015-10-01
As males and females with autism spectrum disorder (ASD) experience different symptomology, their needs for vocational rehabilitation (VR) are unique as they transition into adulthood. This study examined the effects of gender differences in VR service predictors on employment outcomes for transition-aged individuals with ASD. A total of 1696 individuals (857 males and 839 females) were analyzed from a sample of RSA-911 data of FY 2011. Hierarchical logistic regression analyses were conducted. Results revealed both gender-independent VR service predictors (with job placement and on-the-job supports more beneficial for both genders) and gender-specific predictors of employment (with counseling and guidance, job search assistance, and other services more beneficial for the male group). This study provides support for individualized gender-specific VR services for people with ASD.
Sex-specific risk factors for childhood wheeze and longitudinal phenotypes of wheeze.
Tse, Sze Man; Rifas-Shiman, Sheryl L; Coull, Brent A; Litonjua, Augusto A; Oken, Emily; Gold, Diane R
2016-12-01
Although sexual dimorphism in wheeze and asthma prevalence are well documented, sex-specific risk factors for wheeze and longitudinal wheeze phenotypes have not been well elucidated. By using a large prebirth cohort, this study aimed to identify sex-specific risk factors for wheeze from birth through midchildhood and identify distinct longitudinal wheeze phenotypes and the sex-specific risk factors associated with these phenotypes. Mothers reported child wheeze symptoms over the past year approximately yearly on 9 occasions starting at age 1 year. We identified sex-specific predictors of wheeze, wheeze phenotypes, and sex-specific predictors of these phenotypes by using generalized estimating equations, latent class mixed models, and multinomial logistic analysis, respectively. A total of 1623 children had information on wheeze at 1 or more time points. Paternal asthma was a stronger predictor of ever wheezing in boys (odds ratio [OR], 2.15; 95% CI, 1.74-2.66) than in girls (OR, 1.53; 95% CI, 1.19-1.96; P for sex by paternal asthma interaction = .03), whereas being black or Hispanic, birth weight for gestational age z score, and breast-feeding duration had stronger associations among girls. We identified 3 longitudinal wheeze phenotypes: never/infrequent wheeze (74.1%), early transient wheeze (12.7%), and persistent wheeze (13.1%). Compared with never/infrequent wheeze, maternal asthma, infant bronchiolitis, and atopic dermatitis were associated with persistent wheeze in both sexes, but paternal asthma was associated with persistent wheeze in boys only (OR, 4.27; 95% CI, 2.33-7.83; P for sex by paternal asthma interaction = .02), whereas being black or Hispanic was a predictor for girls only. We identified sex-specific predictors of wheeze and longitudinal wheeze patterns, which might have important prognostic value and allow for a more personalized approach to wheeze and asthma treatment. Copyright © 2016 American Academy of Allergy, Asthma & Immunology. Published by Elsevier Inc. All rights reserved.
NASA Astrophysics Data System (ADS)
Ferretti, Maria Santa
Job satisfaction and organizational commitment have long been identified as relevant factors for the well-being of individuals within an organization and the success of the organization itself. As the well-being can be, in principle, considered as emergent from the influence of a number of factors, the main goal of a theory of organizations is to identify these factors and the role they can play. In this regard job satisfaction and organizational commitment have been often identified with structural factors allowing an organization to be considered as a system, or a wholistic entity, rather than a simple aggregate of individuals. Furthermore, recent studies have shown that job satisfaction has a significant, direct effect on determining individuals' attachment to an organization and a significant but indirect effect on their intention to leave a company. However, a complete assessment of the role of these factors in establishing and keeping the emergence of an organization is still lacking, due to shortage of measuring instruments and to practical difficulties in interviewing organization members. The present study aims to give a further contribution to what is currently known about the relationship between job satisfaction and affective commitment by using a group of professionals, all at management level. A questionnaire to measure these constructs, following a pilot study, was designed and administered to 1042 participants who were all professionals and had the title of industrial manager or director. The factors relating to job satisfaction and the predictive value of these factors (to predict an employee's emotional involvement with their organization) were simultaneously tested by a confirmative factorial model. The results were generalized with a multi-sample procedure by using models of structural equations. This procedure was used to check whether these factors could be considered or not as causes producing the measured affective commitment. The results showed that the four dimensions of job satisfaction (professional development, information, remuneration and relationship with superiors) are not equally predictive of affective commitment. To be more specific, the opportunity of professional development or growth provided by a company was shown to be the best predictor of affective commitment. This seems to suggest that, as expected, the emergence of organizations could be a true emergence, not reducible to a sum of single causes. Implications, future lines of research and limitations are discussed.
Predictors of job satisfaction and absenteeism in two samples of Hong Kong nurses.
Siu, Oi-Ling
2002-10-01
Stress-related outcomes of job satisfaction and absenteeism among nurses should receive more attention in Hong Kong because absenteeism is costly. Many nurses' complaints are due to organizational change in privatization since the establishment of the Hong Kong Hospital Authority in 1991. Organizational climate is found to be an antecedent of job dissatisfaction and absenteeism in many studies in western societies. To investigate the role of organizational climate and psychological distress on job satisfaction; and the role of climate, distress and job satisfaction on absenteeism in Hong Kong nurses, while controlling for demographic variables. A self-administered questionnaire survey method was used to collect data from two samples of nurses within a 8-month period. They are, respectively, 144 (74 general nurses, 70 psychiatric nurses; 47 males, 97 females) and 114 (85 general nurses, 29 psychiatric nurses; 17 males, 97 females) nurses. Multiple regression analyses revealed that occupational type (psychiatric/general), environment (the physical conditions in the work area) and psychological distress were significant predictors of job satisfaction for sample 1; and well-being (social relations, welfare and health issues) was the only significant predictor of job satisfaction for sample 2. However, age, involvement (the degree of commitment displayed towards employees by the organization), psychological distress and job satisfaction were significant predictors of absenteeism for sample 1; and occupational type, organization (the interaction between the worker and the organization), and involvement were significant predictors of absenteeism for sample 2. The empirical findings provide support for the climate-job satisfaction and climate-absenteeism relationships. Psychological distress could be an antecedent of job satisfaction; and job satisfaction could be an antecedent of absenteeism. Certain climate dimensions should be improved to enhance job satisfaction and reduce distress, which in turn will reduce absenteeism.
McManus, Kaitlyn; Cummings, Madeline; Visker, Joseph; Cox, Carol
2015-03-01
Lead is a strong poison and toxic to many vital organs and body systems especially in the central nervous system of children, who are more vulnerable to lead poisoning than adults. The purpose of the study described in this article was to examine the relationship between elevated blood lead level (BLL) cases of children in the state of Missouri and pre-1980 home construction, lead mine proximity, and median household income and to determine counties and areas for statewide prevention education. Results of the regression analysis indicated that these combined variables were significant predictors (F[3,111] = 19.106, p < .05, R2 = .341), accounting for 34.1% of the explained variance in the number elevated BLL cases. Number of houses built prior to 1980 (β = .606, p < .05) and median household income (β = -0.186, p < .05) were specifically revealed to be significant predictors of elevated blood lead cases. In addition to screening in identified counties, Missouri's statewide plan should expand to include prevention education in all low-income counties.
Unique risk and protective factors for partner aggression in a large scale air force survey.
Slep, Amy M Smith; Foran, Heather M; Heyman, Richard E; Snarr, Jeffery D
2010-08-01
The objective of this study is to examine risk factors of physical aggression against a partner in a large representative Active Duty Air Force sample. A stratified sample of 128,950 United States Active Duty members were invited to participate in an Air Force-wide anonymous online survey across 82 bases. The final sample (N = 52,780) was weighted to be representative of the United States Air Force. Backward stepwise regression analyses were conducted to identify unique predictors of partner physical aggression perpetration within and across different ecological levels (individual, family, organization, and community levels). Relationship satisfaction, alcohol problems, financial stress, and number of years in the military were identified as unique predictors of men's and women's perpetration of violence against their partner across ecological levels. Parental status, support from neighbors, personal coping, and support from formal agencies also uniquely predicted men's but not women's perpetration of violence across ecological levels. This study identified specific risk factors of partner violence that may be targeted by prevention and intervention efforts aimed at different levels of impact (e.g., family interventions, community-wide programs).
van den Reek, J M P A; Tummers, M; Zweegers, J; Seyger, M M B; van Lümig, P P M; Driessen, R J B; van de Kerkhof, P C M; Kievit, W; de Jong, E M G J
2015-03-01
Drug survival is an indicator for treatment success; insight in predictors associated with drug survival is important. To analyse the long-term drug survival for adalimumab in patients with psoriasis treated in daily practice and (II) to identify predictors of prolonged drug survival for adalimumab split for different reasons of discontinuation. Data were extracted from a prospective psoriasis cohort and analysed using Kaplan-Meier survival curves split for reasons of discontinuation. Baseline predictors associated with longer drug survival were identified using multivariate Cox-regression analysis. One hundred and sixteen patients were included with a total of 208 patient-years. Overall drug survival was 76% after 1 year and 52% after 4.5 years. In patients who stopped due to ineffectiveness, longer drug survival was associated with the absence of specific comorbidities (P = 0.03). In patients who stopped due to side-effects, longer drug survival was associated with male gender (P = 0.02). Predictors of adalimumab drug survival in psoriasis differ by reason for discontinuation. Strong, specific predictors can lead to patient-tailored treatment. © 2014 European Academy of Dermatology and Venereology.
ERIC Educational Resources Information Center
Kontoghiorghes, Constantine; Awbre, Susan M.; Feurig, Pamela L.
2005-01-01
The main purpose of this exploratory study was to examine the relationship between certain learning organization characteristics and change adaptation, innovation, and bottom-line organizational performance. The following learning organization characteristics were found to be the strongest predictors of rapid change adaptation, quick product or…
Practicing Professional Values: Factors Influencing Involvement in Social Work Student Organizations
ERIC Educational Resources Information Center
Martindale, Dorothy; Olate, René; Anderson, Keith A.
2017-01-01
One of the most promising avenues for the development of professional values is involvement in professional student organizations. A convenience sample of baccalaureate social work students (n = 482) was drawn from 15 institutions. Regression analyses revealed several predictors of involvement in social work student organizations, including…
PHYSICOCHEMICAL PROPERTIES AS PREDICTORS OF ORGANIC CHEMICAL EFFECTS ON SOIL MICROBIAL RESPIRATION
Structure-activity analysis was used to evaluate the effects of 19 hazardous organic chemicals on microbial respiration in two slightly acidic soils (a Captina silt loam from Roane County Tennessee, and a McLaurin sandy loam from Stone County, Mississippi), both low in organic ca...
Zador, Zsolt; Sperrin, Matthew; King, Andrew T
2016-01-01
Traumatic brain injury remains a global health problem. Understanding the relative importance of outcome predictors helps optimize our treatment strategies by informing assessment protocols, clinical decisions and trial designs. In this study we establish importance ranking for outcome predictors based on receiver operating indices to identify key predictors of outcome and create simple predictive models. We then explore the associations between key outcome predictors using Bayesian networks to gain further insight into predictor importance. We analyzed the corticosteroid randomization after significant head injury (CRASH) trial database of 10008 patients and included patients for whom demographics, injury characteristics, computer tomography (CT) findings and Glasgow Outcome Scale (GCS) were recorded (total of 13 predictors, which would be available to clinicians within a few hours following the injury in 6945 patients). Predictions of clinical outcome (death or severe disability at 6 months) were performed using logistic regression models with 5-fold cross validation. Predictive performance was measured using standardized partial area (pAUC) under the receiver operating curve (ROC) and we used Delong test for comparisons. Variable importance ranking was based on pAUC targeted at specificity (pAUCSP) and sensitivity (pAUCSE) intervals of 90-100%. Probabilistic associations were depicted using Bayesian networks. Complete AUC analysis showed very good predictive power (AUC = 0.8237, 95% CI: 0.8138-0.8336) for the complete model. Specificity focused importance ranking highlighted age, pupillary, motor responses, obliteration of basal cisterns/3rd ventricle and midline shift. Interestingly when targeting model sensitivity, the highest-ranking variables were age, severe extracranial injury, verbal response, hematoma on CT and motor response. Simplified models, which included only these key predictors, had similar performance (pAUCSP = 0.6523, 95% CI: 0.6402-0.6641 and pAUCSE = 0.6332, 95% CI: 0.62-0.6477) compared to the complete models (pAUCSP = 0.6664, 95% CI: 0.6543-0.679, pAUCSE = 0.6436, 95% CI: 0.6289-0.6585, de Long p value 0.1165 and 0.3448 respectively). Bayesian networks showed the predictors that did not feature in the simplified models were associated with those that did. We demonstrate that importance based variable selection allows simplified predictive models to be created while maintaining prediction accuracy. Variable selection targeting specificity confirmed key components of clinical assessment in TBI whereas sensitivity based ranking suggested extracranial injury as one of the important predictors. These results help refine our approach to head injury assessment, decision-making and outcome prediction targeted at model sensitivity and specificity. Bayesian networks proved to be a comprehensive tool for depicting probabilistic associations for key predictors giving insight into why the simplified model has maintained accuracy.
What Predicts Job Satisfaction in Malaysia?
ERIC Educational Resources Information Center
Kamarulzaman, Wirawani; Ibrahim, Mohd Burhan
2012-01-01
The purpose of this study is to address the gaps in the literature and to examine the predictors of job satisfaction. In this study, the hypothesized predictors influencing one's job satisfaction are a) gender, b) age, c) level of education, d) salary, e) role in the job, and f) years of working in the organization. This study used Minnesota…
Banno, Masaki; Komiyama, Yusuke; Cao, Wei; Oku, Yuya; Ueki, Kokoro; Sumikoshi, Kazuya; Nakamura, Shugo; Terada, Tohru; Shimizu, Kentaro
2017-02-01
Several methods have been proposed for protein-sugar binding site prediction using machine learning algorithms. However, they are not effective to learn various properties of binding site residues caused by various interactions between proteins and sugars. In this study, we classified sugars into acidic and nonacidic sugars and showed that their binding sites have different amino acid occurrence frequencies. By using this result, we developed sugar-binding residue predictors dedicated to the two classes of sugars: an acid sugar binding predictor and a nonacidic sugar binding predictor. We also developed a combination predictor which combines the results of the two predictors. We showed that when a sugar is known to be an acidic sugar, the acidic sugar binding predictor achieves the best performance, and showed that when a sugar is known to be a nonacidic sugar or is not known to be either of the two classes, the combination predictor achieves the best performance. Our method uses only amino acid sequences for prediction. Support vector machine was used as a machine learning algorithm and the position-specific scoring matrix created by the position-specific iterative basic local alignment search tool was used as the feature vector. We evaluated the performance of the predictors using five-fold cross-validation. We have launched our system, as an open source freeware tool on the GitHub repository (https://doi.org/10.5281/zenodo.61513). Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.
[Person-organization fit and work ability].
Merecz, Dorota; Andysz, Aleksandra
2011-01-01
Person-environment issue has long been in focus of researchers who explore the area of human labor. It is known that the level of fit is a predictor of many phenomena related to health and attitude to work. The aim of this study was to explore the association between the level of person- organization fit (P-O fit) and work ability, including indicators of somatic and mental health. Research was conducted on a representative sample of 600 Polish men and women at working age. The Person-Organization Fit Questionnaire was used to assess three dimensions of P-O fit (supplementary fit, complementary fit and identification with organization); mental health status was measured by GHQ-28; the number of diagnosed diseases was taken as an index of somatic health; work ability, ability to physical and mental efforts were measured by three items from the Work Ability Index. A significant relationship between P-O fit level and work ability was found. In men, work ability predictors were: age, supplementary fit and mental health status, which explained 25% of the variance in work ability. In women, work ability predictors were: the number of diagnosed somatic diseases, supplementary fit, age and complementary fit, which explained 27% of the variance in work ability. Some gender-related differences in the predictive value of variables under the study were also found. The results of this study indicate the importance of P-O fit in shaping the sense of work ability, a recognized predictor of workers' occupational activity and the frequency of taking sick leave in subsequent years. Therefore, this result may be a useful argument to motivate employers to employ workers adequately to their abilities and preferences.
Killikelly, Clare; He, Zhimin; Reeder, Clare; Wykes, Til
2017-07-20
Despite the boom in new technologically based interventions for people with psychosis, recent studies suggest medium to low rates of adherence to these types of interventions. The benefits will be limited if only a minority of service users adhere and engage; if specific predictors of adherence can be identified then technologies can be adapted to increase the service user benefits. The study aimed to present a systematic review of rates of adherence, dropout, and approaches to analyzing adherence to newly developed mobile and Web-based interventions for people with psychosis. Specific predictors of adherence were also explored. Using keywords (Internet or online or Web-based or website or mobile) AND (bipolar disorder or manic depression or manic depressive illness or manic-depressive psychosis or psychosis or schizophr* or psychotic), the following databases were searched: OVID including MedLine, EMBASE and PsychInfo, Pubmed and Web of Science. The objectives and inclusion criteria for suitable studies were defined following PICOS (population: people with psychosis; intervention: mobile or Internet-based technology; comparison group: no comparison group specified; outcomes: measures of adherence; study design: randomized controlled trials (RCT), feasibility studies, and observational studies) criteria. In addition to measurement and analysis of adherence, two theoretically proposed predictors of adherence were examined: (1) level of support from a clinician or researcher throughout the study, and (2) level of service user involvement in the app or intervention development. We provide a narrative synthesis of the findings and followed the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines for reporting systematic reviews. Of the 20 studies that reported a measure of adherence and a rate of dropout, 5 of these conducted statistical analyses to determine predictors of dropout, 6 analyzed the effects of specific adherence predictors (eg, symptom severity or type of technological interface) on the effects of the intervention, 4 administered poststudy feedback questionnaires to assess continued use of the intervention, and 2 studies evaluated the effects of different types of interventions on adherence. Overall, the percentage of participants adhering to interventions ranged from 28-100% with a mean of 83%. Adherence was greater in studies with higher levels of social support and service user involvement in the development of the intervention. Studies of shorter duration also had higher rates of adherence. Adherence to mobile and Web-based interventions was robust across most studies. Although 2 studies found specific predictors of nonadherence (male gender and younger age), most did not specifically analyze predictors. The duration of the study may be an important predictor of adherence. Future studies should consider reporting a universal measure of adherence and aim to conduct complex analyses on predictors of adherence such as level of social presence and service user involvement. ©Clare Killikelly, Zhimin He, Clare Reeder, Til Wykes. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 20.07.2017.
Bailey, J A; Samek, D R; Keyes, M A; Hill, K G; Hicks, B M; McGue, M; Iacono, W G; Epstein, M; Catalano, R F; Haggerty, K P; Hawkins, J D
2014-05-01
This paper presents two replications of a heuristic model for measuring environment in studies of gene-environment interplay in the etiology of young adult problem behaviors. Data were drawn from two longitudinal, U.S. studies of the etiology of substance use and related behaviors: the Raising Healthy Children study (RHC; N=1040, 47% female) and the Minnesota Twin Family Study (MTFS; N=1512, 50% female). RHC included a Pacific Northwest, school-based, community sample. MTFS included twins identified from state birth records in Minnesota. Both studies included commensurate measures of general family environment and family substance-specific environments in adolescence (RHC ages 10-18; MTFS age 18), as well as young adult nicotine dependence, alcohol and illicit drug use disorders, HIV sexual risk behavior, and antisocial behavior (RHC ages 24, 25; MTFS age 25). Results from the two samples were highly consistent and largely supported the heuristic model proposed by Bailey et al. (2011). Adolescent general family environment, family smoking environment, and family drinking environment predicted shared variance in problem behaviors in young adulthood. Family smoking environment predicted unique variance in young adult nicotine dependence. Family drinking environment did not appear to predict unique variance in young adult alcohol use disorder. Organizing environmental predictors and outcomes into general and substance-specific measures provides a useful way forward in modeling complex environments and phenotypes. Results suggest that programs aimed at preventing young adult problem behaviors should target general family environment and family smoking and drinking environments in adolescence. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.
NASA Astrophysics Data System (ADS)
Lee, T. R.; Wood, W. T.; Dale, J.
2017-12-01
Empirical and theoretical models of sub-seafloor organic matter transformation, degradation and methanogenesis require estimates of initial seafloor total organic carbon (TOC). This subsurface methane, under the appropriate geophysical and geochemical conditions may manifest as methane hydrate deposits. Despite the importance of seafloor TOC, actual observations of TOC in the world's oceans are sparse and large regions of the seafloor yet remain unmeasured. To provide an estimate in areas where observations are limited or non-existent, we have implemented interpolation techniques that rely on existing data sets. Recent geospatial analyses have provided accurate accounts of global geophysical and geochemical properties (e.g. crustal heat flow, seafloor biomass, porosity) through machine learning interpolation techniques. These techniques find correlations between the desired quantity (in this case TOC) and other quantities (predictors, e.g. bathymetry, distance from coast, etc.) that are more widely known. Predictions (with uncertainties) of seafloor TOC in regions lacking direct observations are made based on the correlations. Global distribution of seafloor TOC at 1 x 1 arc-degree resolution was estimated from a dataset of seafloor TOC compiled by Seiter et al. [2004] and a non-parametric (i.e. data-driven) machine learning algorithm, specifically k-nearest neighbors (KNN). Built-in predictor selection and a ten-fold validation technique generated statistically optimal estimates of seafloor TOC and uncertainties. In addition, inexperience was estimated. Inexperience is effectively the distance in parameter space to the single nearest neighbor, and it indicates geographic locations where future data collection would most benefit prediction accuracy. These improved geospatial estimates of TOC in data deficient areas will provide new constraints on methane production and subsequent methane hydrate accumulation.
Al-Reasi, Hassan A; Smith, D Scott; Wood, Chris M
2012-03-01
Various quality predictors of seven different natural dissolved organic matter (DOM) and humic substances were evaluated for their influence on protection of Daphnia magna neonates against copper (Cu) toxicity. Protection was examined at 3 and 6 mg l(-1) of dissolved organic carbon (DOC) of each DOM isolate added to moderately hard, dechlorinated water. Other water chemistry parameters (pH, concentrations of DOC, calcium, magnesium and sodium) were kept relatively constant. Predictors included absorbance ratios Abs(254/365) (index of molecular weight) and Abs-octanol(254)/Abs-water(254) (index of lipophilicity), specific absorption coefficient (SAC(340); index of aromaticity), and fluorescence index (FI; index of source). In addition, the fluorescent components (humic-like, fulvic-like, tryptophan-like, and tyrosine-like) of the isolates were quantified by parallel factor analysis (PARAFAC). Up to 4-fold source-dependent differences in protection were observed amongst the different DOMs. Significant correlations in toxicity amelioration were found with Abs(254/365), Abs-octanol(254)/Abs-water(254), SAC(340), and with the humic-like fluorescent component. The relationships with FI were not significant and there were no relationships with the tryptophan-like or tyrosine-like fluorescent components at 3 mg C l(-1), whereas a negative correlation was seen with the fulvic-like component. In general, the results indicate that larger, optically dark, more lipophilic, more aromatic DOMs of terrigenous origin, with higher humic-like content, are more protective against Cu toxicity. A method for incorporating SAC(340) as a DOM quality indicator into the Biotic Ligand Model is presented; this may increase the accuracy for predicting Cu toxicity in natural waters.
Chapman, Derek S; Uggerslev, Krista L; Carroll, Sarah A; Piasentin, Kelly A; Jones, David A
2005-09-01
Attracting high-performing applicants is a critical component of personnel selection and overall organizational success. In this study, the authors meta-analyzed 667 coefficients from 71 studies examining relationships between various predictors with job-organization attraction, job pursuit intentions, acceptance intentions, and job choice. The moderating effects of applicant gender, race, and applicant versus nonapplicant status were also examined. Results showed that applicant attraction outcomes were predicted by job-organization characteristics, recruiter behaviors, perceptions of the recruiting process, perceived fit, and hiring expectancies, but not recruiter demographics or perceived alternatives. Path analyses showed that applicant attitudes and intentions mediated the predictor-job choice relationships. The authors discuss the implications of these findings for recruiting theory, research, and practice. Copyright 2005 APA, all rights reserved.
ERIC Educational Resources Information Center
Ringeisen, Tobias; Raufelder, Diana; Schnell, Kerstin; Rohrmann, Sonja
2016-01-01
Control-value theory (CVT) proposes a framework for the structure of the relationships between the various predictors of achievement-related emotions, particularly anxiety. Despite existing evidence for the role of anxiety predictors, research has not yet justified their proposed structure. Hence, the current study validated the structure of test…
Risk Behavior and Reciprocity of Organ Donation Attitudes in Young Men.
Vetterli, D C M; Lava, S A G; Essig, S; Milosevic, G; Cajöri, G; Uehlinger, D E; Moor, M B
2015-01-01
Lack of donor organs remains a major obstacle in organ transplantation. Our aim was to evaluate (1) the association between engaging in high-risk recreational activities and attitudes toward organ donation and (2) the degree of reciprocity between organ acceptance and donation willingness in young men. A 17-item, close-ended survey was offered to male conscripts ages 18 to 26 years in all Swiss military conscription centers. Predictors of organ donation attitudes were assessed in bivariate analyses and multiple logistic regression. Reciprocity of the intentions to accept and to donate organs was assessed by means of donor card status. In 1559 responses analyzed, neither motorcycling nor practicing extreme sports reached significant association with donor card holder status. Family communication about organ donation, student, or academic profession and living in a Latin linguistic region were predictors of positive organ donation attitudes, whereas residence in a German-speaking region and practicing any religion predicted reluctance. Significantly more respondents were willing to accept than to donate organs, especially among those without family communication concerning organ donation. For the first time, it was shown that high-risk recreational activities do not influence organ donation attitudes. Second, a considerable discrepancy in organ donation reciprocity was identified. We propose that increasing this reciprocity could eventually increase organ donation rates. Copyright © 2015 Elsevier Inc. All rights reserved.
Kane, Elisabeth J; Braunstein, Kara; Ollendick, Thomas H.; Muris, Peter
2014-01-01
The relations of fear to anxiety sensitivity, control beliefs, and maternal overprotection were examined in 126 7- to 13-year-old clinically referred children with specific phobias. Results indicated that anxiety sensitivity and control beliefs were significant predictors of children’s fear levels, accounting for approximately 48% of the total variance. Unexpectedly, age, gender, and maternal overprotection did not emerge as significant predictors of fear in the overall sample. In subsequent analyses, anxiety sensitivity was found to be a consistent, significant predictor for both girls and boys, for both younger and older children, and for children with and without an additional anxiety disorder diagnosis. Control beliefs were only a significant predictor for girls, younger children, and children with an additional anxiety diagnosis. Maternal overprotection was not a significant predictor for any group. Children with an additional anxiety disorder diagnosis had higher levels of fear, anxiety sensitivity, and maternal overprotection, as well as lower levels of control beliefs than the non-additional anxiety disorder subgroup. Future directions and clinical implications are explored. PMID:26273182
Kane, Elisabeth J; Braunstein, Kara; Ollendick, Thomas H; Muris, Peter
2015-07-01
The relations of fear to anxiety sensitivity, control beliefs, and maternal overprotection were examined in 126 7- to 13-year-old clinically referred children with specific phobias. Results indicated that anxiety sensitivity and control beliefs were significant predictors of children's fear levels, accounting for approximately 48% of the total variance. Unexpectedly, age, gender, and maternal overprotection did not emerge as significant predictors of fear in the overall sample. In subsequent analyses, anxiety sensitivity was found to be a consistent, significant predictor for both girls and boys, for both younger and older children, and for children with and without an additional anxiety disorder diagnosis. Control beliefs were only a significant predictor for girls, younger children, and children with an additional anxiety diagnosis. Maternal overprotection was not a significant predictor for any group. Children with an additional anxiety disorder diagnosis had higher levels of fear, anxiety sensitivity, and maternal overprotection, as well as lower levels of control beliefs than the non-additional anxiety disorder subgroup. Future directions and clinical implications are explored.
ERIC Educational Resources Information Center
Oyebamiji, M. A.; Akintayo, D. I.
2011-01-01
The study investigated the influence of some psychological factors on perceived workers' productivity in private organizations in Nigeria. This is for the purpose of ascertaining the contributions of psychological factors to perceived workers' productivity in work organizations in Nigeria. A descriptive survey research design was adopted for the…
Contribution of plant lignin to the soil organic matter formation and stabilization
USDA-ARS?s Scientific Manuscript database
Lignin is the third most abundant plant constituent after cellulose and hemicellulose and thought to be one of the building blocks for soil organic matter formation. Lignin can be used as a predictor for long-term soil organic matter stabilization and C sequestration. Soils and humic acids from fo...
NASA Astrophysics Data System (ADS)
Song, M.; Marcolli, C.; Krieger, U. K.; Zuend, A.; Peter, T.
2012-04-01
In the troposphere, aerosol particles undergo phase transitions such as deliquescence and efflorescence during humidity cycles (Marcolli and Krieger, 2006). In addition, interactions between organic and inorganic compounds lead to liquid-liquid phase separation (LLPS) (Ciobanu et al., 2009). Recent studies on a limited number of model systems have shown that oxygen-to-carbon ratios (O:C) of the organic aerosol fraction might be a good predictor for LLPS in mixed organic/ammonium sulfate (AS) particles (Bertram et al., 2011; Song et al., 2011). However, in order to corroborate this hypothesis experiments with an organic fraction that consists of a higher number of components with different O:C ratios and functional groups are needed. In order to determine the influence of O:C ratio, the specific organic functionalities and the mixture complexity on LLPS, we subjected organic/AS particles deposited on a hydrophobically coated substrate to relative humidity (RH) cycles and observed phase changes using optical microscopy and micro-Raman spectroscopy. To determine the influence of mixture complexity, we mixed together up to 10 organic compounds. We also prepared mixtures that were rich in different types of functional groups like polyols, aromatics and dicarboxylic acids which were identified from field measurements. We screened for a miscibility gap by varying the organic-to-inorganic ratio from 2:1 to 1:6. AS in the investigated single particles effloresced at 27 - 50 %RH and deliquesced at 72 - 79 %RH during humidity cycles. The occurrence of LLPS is determined to a high degree by the O:C of the organics: there was no LLPS for mixtures with O:C > 0.8 and there was always LLPS for mixtures with O:C < 0.57. In the range in between, we observed a dependence on the specific functional groups: a high share of aromatic functionalities shifts the range of O:C for which LLPS occurs to lower values. A correlation was also found for the onset RH of LLPS as a function of O:C. We did not find any dependence of LLPS on the complexity of the mixture. Overall, the RH range of coexistence of two liquid phases depends in first place on the O:C ratio of the particles and in second place also on the specific organic functionalities.
Muñoz-Durango, Natalia; Fuentes, Cristóbal A.; Castillo, Andrés E.; González-Gómez, Luis Martín; Vecchiola, Andrea; Fardella, Carlos E.; Kalergis, Alexis M.
2016-01-01
Arterial hypertension is a common condition worldwide and an important predictor of several complicated diseases. Arterial hypertension can be triggered by many factors, including physiological, genetic, and lifestyle causes. Specifically, molecules of the renin-angiotensin-aldosterone system not only play important roles in the control of blood pressure, but they are also associated with the genesis of arterial hypertension, thus constituting a need for pharmacological interventions. Chronic high pressure generates mechanical damage along the vascular system, heart, and kidneys, which are the principal organs affected in this condition. In addition to mechanical stress, hypertension-induced oxidative stress, chronic inflammation, and the activation of reparative mechanisms lead to end-organ damage, mainly due to fibrosis. Clinical trials have demonstrated that renin-angiotensin-aldosterone system intervention in hypertensive patients lowers morbidity/mortality and inflammatory marker levels as compared to placebo patients, evidencing that this system controls more than blood pressure. This review emphasizes the detrimental effects that a renin-angiotensin-aldosterone system (RAAS) imbalance has on health considerations above and beyond high blood pressure, such as fibrotic end-organ damage. PMID:27347925
Muñoz-Durango, Natalia; Fuentes, Cristóbal A; Castillo, Andrés E; González-Gómez, Luis Martín; Vecchiola, Andrea; Fardella, Carlos E; Kalergis, Alexis M
2016-06-23
Arterial hypertension is a common condition worldwide and an important predictor of several complicated diseases. Arterial hypertension can be triggered by many factors, including physiological, genetic, and lifestyle causes. Specifically, molecules of the renin-angiotensin-aldosterone system not only play important roles in the control of blood pressure, but they are also associated with the genesis of arterial hypertension, thus constituting a need for pharmacological interventions. Chronic high pressure generates mechanical damage along the vascular system, heart, and kidneys, which are the principal organs affected in this condition. In addition to mechanical stress, hypertension-induced oxidative stress, chronic inflammation, and the activation of reparative mechanisms lead to end-organ damage, mainly due to fibrosis. Clinical trials have demonstrated that renin-angiotensin-aldosterone system intervention in hypertensive patients lowers morbidity/mortality and inflammatory marker levels as compared to placebo patients, evidencing that this system controls more than blood pressure. This review emphasizes the detrimental effects that a renin-angiotensin-aldosterone system (RAAS) imbalance has on health considerations above and beyond high blood pressure, such as fibrotic end-organ damage.
Reference values and equations reference of balance for children of 8 to 12 years.
Libardoni, Thiele de Cássia; Silveira, Carolina Buzzi da; Sinhorim, Larissa Milani Brognoli; Oliveira, Anamaria Siriani de; Santos, Márcio José Dos; Santos, Gilmar Moraes
2018-02-01
There are still no normative data in balance sway for school-age children in Brazil. We aimed to establish the reference ranges for balance scores and to develop prediction equations for estimation of balance scores in children aged 8 to 12 years old. The study included 165 healthy children (83 boys and 82 girls; age, 8-12 years) recruited from a public school in the city of Florianópolis, Santa Catarina, Brazil. We used the Sensory Organization Test to assess the balance scores and both a digital scale and a stadiometer to measure the anthropometric variables. We tested a stepwise multiple-regression model with sex, height, weight, and mid-thigh circumference of the dominant leg as predictors of the balance score. For all experimental conditions, girls' age accounted for over 85% of the variability in balance scores; while, boys' age accounted only 55% of the variability in balance scores. Therefore, balance scores increase with age for boys and girls. This study described the ranges of age- and sex-specific normative values for balance scores in children during 6 different testing conditions established by the sensory organization test. We confirmed that age was the predictor that best explained the variability in balance scores in children between 8 and 12 years old. This study stimulates a new and more comprehensive study to estimate balance scores from prediction equations for overall Brazilian pediatric population. Copyright © 2017 Elsevier B.V. All rights reserved.
Parsons, E Marie; Straub, Kelsey T; Smith, April R; Clerkin, Elise M
2017-06-01
This study tested the potential transdiagnostic nature of body dysmorphic disorder (BDD), obsessive-compulsive disorder (OCD), and social anxiety disorder (SAD) beliefs, in addition to testing the specificity of those beliefs, in predicting how individuals responded to symptom-specific stressors. Participants included 127 adults (75% women) with a broad range of symptom severity. Path analysis was used to evaluate whether specific maladaptive beliefs predicted distress in response to symptom-relevant stressors over and above other beliefs and baseline distress. SAD beliefs emerged as a significant predictor of distress in response to a mirror gazing (BDD-relevant), a thought (OCD-relevant), and a public speaking (SAD-relevant) task, controlling for other disorder beliefs and baseline distress. BDD beliefs were also a robust predictor of BDD stressor responding. Results suggest that social anxiety-relevant beliefs may function as a transdiagnostic risk factor that predicts in vivo symptoms across a range of problem areas.
Vlieger, Arine M; Blink, Marjolein; Tromp, Ellen; Benninga, Marc A
2008-08-01
Many pediatric patients use complementary and alternative medicine, especially when facing a chronic illness for which treatment options are limited. So far, research on the use of complementary and alternative medicine in patients with functional gastrointestinal disease has been scarce. This study was designed to assess complementary and alternative medicine use in children with different gastrointestinal diseases, including functional disorders, to determine which factors predicted complementary and alternative medicine use and to assess the willingness of parents to participate in future studies on complementary and alternative medicine efficacy and safety. The prevalence of complementary and alternative medicine use was assessed by using a questionnaire for 749 children visiting pediatric gastroenterology clinics of 9 hospitals in the Netherlands. The questionnaire consisted of 35 questions on the child's gastrointestinal disease, medication use, health status, past and future complementary and alternative medicine use, reasons for its use, and the necessity of complementary and alternative medicine research. In this study population, the frequency of complementary and alternative medicine use was 37.6%. A total of 60.3% of this group had used complementary and alternative medicine specifically for their gastrointestinal disease. This specific complementary and alternative medicine use was higher in patients with functional disorders than organic disorders (25.3% vs 17.2%). Adverse effects of allopathic medication, school absenteeism, age
Jessen, Marie K; Skibsted, Simon; Shapiro, Nathan I
2017-06-01
The aim of this study was to validate the association between number of organ dysfunctions and mortality in emergency department (ED) patients with suspected infection. This study was conducted at two medical care center EDs. The internal validation set was a prospective cohort study conducted in Boston, USA. The external validation set was a retrospective case-control study conducted in Aarhus, Denmark. The study included adult patients (>18 years) with clinically suspected infection. Laboratory results and clinical data were used to assess organ dysfunctions. Inhospital mortality was the outcome measure. Multivariate logistic regression was used to determine the independent mortality odds for number and types of organ dysfunctions. We enrolled 4952 (internal) and 483 (external) patients. The mortality rate significantly increased with increasing number of organ dysfunctions: internal validation: 0 organ dysfunctions: 0.5% mortality, 1: 3.6%, 2: 9.5%, 3: 17%, and 4 or more: 37%; external validation: 2.2, 6.7, 17, 41, and 57% mortality (both P<0.001 for trend). Age-adjusted and comorbidity-adjusted number of organ dysfunctions remained an independent predictor. The effect of specific types of organ dysfunction on mortality was most pronounced for hematologic [odds ratio (OR) 3.3 (95% confidence interval (CI) 2.0-5.4)], metabolic [OR 3.3 (95% CI 2.4-4.6); internal validation], and cardiovascular dysfunctions [OR 14 (95% CI 3.7-50); external validation]. The number of organ dysfunctions predicts sepsis mortality.
Richtberg, Samantha; Jakob, Marion; Höfling, Volkmar; Weck, Florian
2017-06-01
Psychotherapy for hypochondriasis has greatly improved over the last decades and cognitive-behavioral treatments are most promising. However, research on predictors of treatment outcome for hypochondriasis is rare. Possible predictors of treatment outcome in cognitive therapy (CT) and exposure therapy (ET) for hypochondriasis were investigated. Characteristics and behaviors of 75 patients were considered as possible predictors: sociodemographic variables (sex, age, and cohabitation); psychopathology (pretreatment hypochondriacal symptoms, comorbid mental disorders, and levels of depression, anxiety, and somatic symptoms); and patient in-session interpersonal behavior. Severity of pretreatment hypochondriacal symptoms, comorbid mental disorders, and patient in-session interpersonal behavior were significant predictors in multiple hierarchical regression analyses. Interactions between the predictors and the treatment (CT or ET) were not found. In-session interpersonal behavior is an important predictor of outcome. Furthermore, there are no specific contraindications to treating hypochondriasis with CT or ET. © 2016 Wiley Periodicals, Inc.
Hobbelt, Anne H; Siland, Joylene E; Geelhoed, Bastiaan; Van Der Harst, Pim; Hillege, Hans L; Van Gelder, Isabelle C; Rienstra, Michiel
2017-02-01
Atrial fibrillation (AF) may present variously in time, and AF may progress from self-terminating to non-self-terminating AF, and is associated with impaired prognosis. However, predictors of AF types are largely unexplored. We investigate the clinical, biomarker, and genetic predictors of development of specific types of AF in a community-based cohort. We included 8042 individuals (319 with incident AF) of the PREVEND study. Types of AF were compared, and multivariate multinomial regression analysis determined associations with specific types of AF. Mean age was 48.5 ± 12.4 years and 50% were men. The types of incident AF were ascertained based on electrocardiograms; 103(32%) were classified as AF without 2-year recurrence, 158(50%) as self-terminating AF, and 58(18%) as non-self-terminating AF. With multivariate multinomial logistic regression analysis, advancing age (P< 0.001 for all three types) was associated with all AF types, male sex was associated with AF without 2-year recurrence and self-terminating AF (P= 0.031 and P= 0.008, respectively). Increasing body mass index and MR-proANP were associated with both self-terminating (P= 0.009 and P< 0.001) and non-self-terminating AF (P= 0.003 and P< 0.001). The only predictor associated with solely self-terminating AF is prescribed anti-hypertensive treatment (P= 0.019). The following predictors were associated with non-self-terminating AF; lower heart rate (P= 0.018), lipid-lowering treatment prescribed (P= 0.009), and eGFR <60 mL/min/1.73 m2 (P= 0.006). Three known AF-genetic variants (rs6666258, rs6817105, and rs10821415) were associated with self-terminating AF. We found clinical, biomarker and genetic predictors of specific types of incident AF in a community-based cohort. The genetic background seems to play a more important role than modifiable risk factors in self-terminating AF.
ERIC Educational Resources Information Center
De Ball, Suzanne; Sullivan, Kathleen; Horine, Julie; Duncan, William K.; Replogle, William
2002-01-01
Comapred University of Mississippi dental student scores on the Dental Admission Test (DAT) and Part I of the National Board Dental Examinations (NBDE) and found that DAT reading comprehension was a statistically significant predictor of all four subtests of the NBDE. Also found that DAT biology and organic chemistry scores were predictors of NBDE…
Mena-Romo, Juan Damián; Pérez Romero, Pilar; Martín-Gandul, Cecilia; Gentil, Miguel Ángel; Suárez-Artacho, Gonzalo; Lage, Ernesto; Sánchez, Magdalena; Cordero, Elisa
2017-10-01
To characterize whether the CMV-specific cellular immune response can be used as a predictor of the control of CMV infection and disease and determine thresholds in solid organ transplant (SOT) recipients seropositive for CMV (R+). The CMV-specific T-cell response was characterized using intracellular cytokine staining and the evolution of clinical and virological parameters were recorded during the first year after transplantation. Besides having positive CMV serology, only 28.4% patients had positive immunity (CD8 + CD69 + IFN-γ + ≥0.25%) at 2 weeks after transplantation. These patients had less indication of preemptive treatment (p = 0.025) and developed less high grade (≥2000 IU/ml) CMV replication episodes (p = 0.006) than patients with no immunity. Of the 49 patients with a pretransplant sample, only 22.4% had positive immunity, and had a detectable immune response early after transplantation (median of 3.7 weeks). However, only 50% of patients with negative pretransplant immunity acquired a positive immune response and it was significantly later, at a median of 11 weeks (p < 0.001). Patients that developed CMV disease had no CMV-specific immunity. Having CMV-specific CD8 + IFN-γ + cells ≥0.25% before transplant; 0.15% at two weeks or 0.25% at four weeks after transplantation, identifies patients that may spontaneously control CMV infection and may require less monitoring. Copyright © 2017 The British Infection Association. Published by Elsevier Ltd. All rights reserved.
Predictor variable resolution governs modeled soil types
USDA-ARS?s Scientific Manuscript database
Soil mapping identifies different soil types by compressing a unique suite of spatial patterns and processes across multiple spatial scales. It can be quite difficult to quantify spatial patterns of soil properties with remotely sensed predictor variables. More specifically, matching the right scale...
Hunter, Christopher L; Silvestri, Salvatore; Ralls, George; Stone, Amanda; Walker, Ayanna; Mangalat, Neal; Papa, Linda
2018-05-01
Early identification of sepsis significantly improves outcomes, suggesting a role for prehospital screening. An end-tidal carbon dioxide (ETCO 2 ) value ≤ 25 mmHg predicts mortality and severe sepsis when used as part of a prehospital screening tool. Recently, the Quick Sequential Organ Failure Assessment (qSOFA) score was also derived as a tool for predicting poor outcomes in potentially septic patients. We conducted a retrospective cohort study among patients transported by emergency medical services to compare the use of ETCO 2 ≤ 25 mmHg with qSOFA score of ≥ 2 as a predictor of mortality or diagnosis of severe sepsis in prehospital patients with suspected sepsis. By comparison of receiver operator characteristic curves, ETCO 2 had a higher discriminatory power to predict mortality, sepsis, and severe sepsis than qSOFA. Both non-invasive measures were easily obtainable by prehospital personnel, with ETCO 2 performing slightly better as an outcome predictor.
A systematic review of land use regression models for volatile organic compounds
NASA Astrophysics Data System (ADS)
Amini, Heresh; Yunesian, Masud; Hosseini, Vahid; Schindler, Christian; Henderson, Sarah B.; Künzli, Nino
2017-12-01
Various aspects of land use regression (LUR) models for volatile organic compounds (VOCs) were systematically reviewed. Sixteen studies were identified published between 2002 and 2017. Of these, six were conducted in Canada, five in the USA, two in Spain, and one each in Germany, Italy, and Iran. They were developed for 14 different individual VOCs or groupings: benzene; toluene; ethylbenzene; m-xylene; p-xylene; (m/p)-xylene; o-xylene; total BTEX; 1,3-butadiene; formaldehyde; n-hexane; total hydro carbons; styrene; and acrolein. The models were based on measurements ranging from 22 sites in El Paso (USA) to 179 sites in Tehran (Iran). Only four studies in Rome (Italy), Sabadell (Spain), Tehran, and Windsor (Canada) met the Cocheo's criterion of having at least one passive sampler per 3.4 km2 of study area. The range of R2 values across all models was from 0.26 for 1,3-butadiene in Dallas (USA) to 0.93 for benzene in El Paso. The average R2 values among two or more studies of the same VOCs were as follows: benzene (0.70); toluene (0.60); ethylbenzene (0.66); (m/p)-xylene (0.65); o-xylene (0.61); total BTEX (0.66); 1,3-butadiene (0.46); and formaldehyde (0.56). The common spatial predictors of studied VOC concentrations were dominated by traffic-related variables, but they also included proximity to ports in the USA, number of chimneys in Canada, altitude in Spain, northern latitudes in Italy, and proximity to sewage treatment plants and to gas filling stores in Iran. For the traffic-related variables, the review suggests that large buffers, up to 5,000 m, should be considered in large cities. Although most studies reported logical directions of association for predictors, some reported inconsistent results. Some studies included log-transformed predictors while others divided one variable by another. Only six studies provided the p-values of predictors. Future work may incorporate chemistry-transport models, satellite observations, meteorological variables, particularly temperature, consider specific sources of aromatic vs aliphatic compounds, or may develop hybrid models. Currently, only one national model has been developed for Canada, and there are no global LUR models for VOCs. Overall, studies from outside North America and Europe are critically needed to describe the wide range of exposures experienced by different populations.
A Correlational Study of Graphic Organizers and Science Achievement of English Language Learners
NASA Astrophysics Data System (ADS)
Clarke, William Gordon
English language learners (ELLs) demonstrate lower academic performance and have lower graduation and higher dropout rates than their non-ELL peers. The primary purpose of this correlational quantitative study was to investigate the relationship between the use of graphic organizer-infused science instruction and science learning of high school ELLs. Another objective was to determine if the method of instruction, socioeconomic status (SES), gender, and English language proficiency (ELP) were predictors of academic achievement of high school ELLs. Data were gathered from a New York City (NYC) high school fall 2012-2013 archival records of 145 ninth-grade ELLs who had received biology instruction in freestanding English as a second language (ESL) classes, followed by a test of their learning of the material. Fifty-four (37.2%) of these records were of students who had learned science by the conventional textbook method, and 91 (62.8%) by using graphic organizers. Data analysis employed the Statistical Package for the Social Sciences (SPSS) software for multiple regression analysis, which found graphic organizer use to be a significant predictor of New York State Regents Living Environment (NYSRLE) test scores (p < .01). One significant regression model was returned whereby, when combined, the four predictor variables (method of instruction, SES, gender, and ELP) explained 36% of the variance of the NYSRLE score. Implications of the study findings noted graphic organizer use as advantageous for ELL science achievement. Recommendations made for practice were for (a) the adoption of graphic organizer infused-instruction, (b) establishment of a protocol for the implementation of graphic organizer-infused instruction, and (c) increased length of graphic organizer instructional time. Recommendations made for future research were (a) a replication quantitative correlational study in two or more high schools, (b) a quantitative quasi-experimental quantitative study to determine the influence of graphic organizer instructional intervention and ELL science achievement, (c) a quantitative quasi-experimental study to determine the effect of teacher-based factors on graphic organizer-infused instruction, and (c) a causal comparative study to determine the efficacy of graphic organizer use in testing modifications for high school ELL science.
Kluczynski, Melissa A; Marzo, John M; Rauh, Michael A; Bernas, Geoffrey A; Bisson, Leslie J
2015-02-01
Male patients tend to have more meniscal and chondral injuries at the time of anterior cruciate ligament (ACL) reconstruction than females. No studies have examined sex-specific predictors of meniscal and chondral lesions in ACL-injured patients. To identify sex-specific predictors of meniscal and chondral lesions, as well as meniscal tear management, in patients undergoing ACL reconstruction. Cohort study; Level of evidence, 3. Data were collected prospectively from 689 patients (56.2% males) undergoing ACL reconstruction between 2005 and 2014. Predictors of meniscal tears, meniscal tear management, and chondral injuries were determined using multivariate logistic regression models stratified by sex. Predictors were age, body mass index (BMI; 25-29.99 and ≥30 vs ≤24.99 kg/m(2)), mechanism (contact vs noncontact) and type (high-impact sports [basketball, football, soccer, and skiing] and other sports vs not sports-related) of injury, interval from injury to surgery (≤6 vs >6 weeks), and instability episodes (vs none). Odds ratios and 95% CIs were reported. Males had more lateral (46% vs 27.8%; P < .0001) and medial (40.2% vs 31.5%; P = .01) meniscal tears, as well as more lateral (72.1% vs 27.9%; P < .0001) and medial (61.4% vs 38.6%; P = .01) meniscectomies than females. For males, age predicted chondral injuries and medial meniscectomy; BMI ≥30 kg/m(2) predicted medial meniscal tears; high-impact and other sports predicted medial meniscal tears, medial meniscectomies, and medial meniscal repairs; injuries ≤6 weeks from surgery predicted lateral meniscal repairs; and instability episodes predicted medial meniscal tears, medial tears left in situ, medial meniscectomies, and medial meniscal repairs. For females, age predicted chondral injuries, BMI ≥30 kg/m(2) predicted lateral meniscectomies and repairs, and instability episodes predicted medial meniscectomies. Sex differences were observed. For males, predictors included age, BMI, sports-related injuries, injuries ≤6 weeks from surgery, and instability episodes. For females, predictors included age, BMI, and instability episodes.
Predictors of change in sports participation in Latino and non-Latino children.
Corder, Kirsten; Crespo, Noe C; van Sluijs, Esther M F; Sallis, James F; Shadron, Lisa M; Moody, Jamie S; Elder, John P
2012-07-01
Few prospective studies have examined predictors of change in specific physical activity (PA) behaviours in different ethnic groups. To assess predictors of change in sports participation in Latino and non-Latino 5-8 year-old children in San Diego, California. Average sports participation frequency (days/week) was assessed by validated parent-report at baseline (Nov 2006-May 2008) and 1 year later in 541 children (45.0% male, 41.1% Latino; mean ± SD age: 6.6 ± 0.7 years) taking part in an obesity prevention study (Project MOVE). Biological (sex, age, Body Mass Index z-score), socio-cultural (ethnicity, income, care giver education), parental (PA rules, PA encouragement) and environmental factors (home PA equipment, PA location) were assessed at baseline. Associations between change in sports participation and potential predictors were studied using multilevel linear regression stratified by Latino ethnicity, adjusted for sex, baseline sport participation, study condition and recruitment area. Sports participation increased over 1 year (mean change: +0.5 days; p<0.001) and change was similar for boys and girls (p=0.95), but Latino children showed a greater increase (p=0.03). The number of locations used for PA (p=0.024) and the total frequency of PA location use (p=0.018) were positively associated with increased sports participation among Latinos. No predictors were identified for non-Latino children. Only factors relating to PA location were identified as predictors of change in sports participation for Latino children. Interventions targeting specific PA behaviours such as sports participation may need to consider PA locations for Latino children and be tailored for specific ethnic groups.
Predictors of Change in Sports Participation in Latino and non-Latino Children
Corder, Kirsten; Crespo, Noe C.; van Sluijs, Esther M. F.; Sallis, James F.; Shadron, Lisa M.; Moody, Jamie S.; Elder, John P.
2013-01-01
Background Few prospective studies have examined predictors of change in specific physical activity (PA) behaviours in different ethnic groups. Purpose To assess predictors of change in sports participation in Latino and non-Latino 5-8 year-old children in San Diego, California. Methods Average sports participation frequency (days/week) was assessed by validated parent-report at baseline (Nov 2006 to May 2008) and one year later in 541 children (45.0% male, 41.1% Latino; Mean±SD age: 6.6±0.7 yrs) taking part in an obesity prevention study (Project MOVE). Biological (sex, age, BMI z-score), socio-cultural (ethnicity, income, caregiver education), parental (PA rules, PA encouragement) and environmental factors (home PA equipment, PA location) were assessed at baseline. Associations between change in sports participation and potential predictors were studied using multi-level linear regression stratified by Latino ethnicity, adjusted for sex, baseline sport participation, study condition and recruitment area. Results Sports participation increased over one year (mean change: +0.5 days; p<0.001) and change was similar for boys and girls (p=0.95), but Latino children showed a greater increase (p=0.03). The number of locations used for PA (p=0.024) and the total frequency of PA location use (p=0.018) were positively associated with increased sports participation among Latinos. No predictors were identified for non-Latino children. Conclusions Only factors relating to PA location were identified as predictors of change in sports participation for Latino children. Interventions targeting specific PA behaviours such as sports participation may need to consider PA locations for Latino children and be tailored for specific ethnic groups. PMID:21903618
Developmental trajectories of paediatric headache - sex-specific analyses and predictors.
Isensee, Corinna; Fernandez Castelao, Carolin; Kröner-Herwig, Birgit
2016-01-01
Headache is the most common pain disorder in children and adolescents and is associated with diverse dysfunctions and psychological symptoms. Several studies evidenced sex-specific differences in headache frequency. Until now no study exists that examined sex-specific patterns of change in paediatric headache across time and included pain-related somatic and (socio-)psychological predictors. Latent Class Growth Analysis (LCGA) was used in order to identify different trajectory classes of headache across four annual time points in a population-based sample (n = 3 227; mean age 11.34 years; 51.2 % girls). In multinomial logistic regression analyses the influence of several predictors on the class membership was examined. For girls, a four-class model was identified as the best fitting model. While the majority of girls reported no (30.5 %) or moderate headache frequencies (32.5 %) across time, one class with a high level of headache days (20.8 %) and a class with an increasing headache frequency across time (16.2 %) were identified. For boys a two class model with a 'no headache class' (48.6 %) and 'moderate headache class' (51.4 %) showed the best model fit. Regarding logistic regression analyses, migraine and parental headache proved to be stable predictors across sexes. Depression/anxiety was a significant predictor for all pain classes in girls. Life events, dysfunctional stress coping and school burden were also able to differentiate at least between some classes in both sexes. The identified trajectories reflect sex-specific differences in paediatric headache, as seen in the number and type of classes extracted. The documented risk factors can deliver ideas for preventive actions and considerations for treatment programmes.
Bobbio, Andrea; Bellan, Maria; Manganelli, Anna Maria
2012-01-01
A strong nursing leadership that instills trust in the leader and in the organization is an important component for an effective leadership, particularly for health care organizations, because trust defines the heart of health care workplaces by promoting patient safety, excellence in care, recruitment, and retention of the nursing staff. This study aimed to test the impact of perceived empowerment leadership style expressed by the nurse supervisor, nurses' perceived organizational support, trust in the leader, and trust in the organization on nurses' job burnout. A group of 273 nurses from an Italian public general hospital took part in a cross-sectional study on a voluntary basis by filling out an anonymous questionnaire. Empowering leadership was an important predictor of trust in the leader. Trust in the organization was influenced by perceived organizational support and by the Informing dimension of the empowering leadership style. Trust in the leader and trust in the organization showed a negative impact on job burnout and also mediated the effects of some empowering leadership dimensions and perceived organizational support on job burnout. The central role of trust in health care organizations was corroborated, as well as the beneficial effects of adopting specific features of empowerment leadership behaviors toward the nursing staff. Empowering leadership could be successfully proposed in training programs directed to nurses' supervisors and health care managers.
Edaphic controls on soil organic carbon stocks in restored grasslands
DOE Office of Scientific and Technical Information (OSTI.GOV)
O'Brien, Sarah L.; Jastrow, Julie D.; Grimley, David A.
Cultivation of undisturbed soils dramatically depletes organic carbon stocks at shallow depths, releasing a substantial quantity of stored carbon to the atmosphere. Restoration of native ecosystems can help degraded soils rebuild a portion of the depleted soil organic matter. However, the rate and magnitude of soil carbon accrual can be highly variable from site to site. Thus, a better understanding of the mechanisms controlling soil organic carbon stocks is necessary to improve predictions of soil carbon recovery. We measured soil organic carbon stocks and a suite of edaphic factors in the upper 10 cm of a series of restored tallgrassmore » prairies representing a range of drainage conditions. Our findings suggest that factors related to soil organic matter stabilization mechanisms (texture, polyvalent cations) were key predictors of soil organic carbon, along with variables that influence plant and microbial biomass (available phosphorus, pH) and soil moisture. Exchangeable soil calcium was the strongest single predictor, explaining 74% of the variation in soil organic carbon, followed by clay content,which explained 52% of the variation. Our results demonstrate that the cumulative effects of even relatively small differences in these edaphic properties can have a large impact on soil carbon stocks when integrated over several decades.« less
Acute imaging does not improve ASTRAL score's accuracy despite having a prognostic value.
Ntaios, George; Papavasileiou, Vasileios; Faouzi, Mohamed; Vanacker, Peter; Wintermark, Max; Michel, Patrik
2014-10-01
The ASTRAL score was recently shown to reliably predict three-month functional outcome in patients with acute ischemic stroke. The study aims to investigate whether information from multimodal imaging increases ASTRAL score's accuracy. All patients registered in the ASTRAL registry until March 2011 were included. In multivariate logistic-regression analyses, we added covariates derived from parenchymal, vascular, and perfusion imaging to the 6-parameter model of the ASTRAL score. If a specific imaging covariate remained an independent predictor of three-month modified Rankin score>2, the area-under-the-curve (AUC) of this new model was calculated and compared with ASTRAL score's AUC. We also performed similar logistic regression analyses in arbitrarily chosen patient subgroups. When added to the ASTRAL score, the following covariates on admission computed tomography/magnetic resonance imaging-based multimodal imaging were not significant predictors of outcome: any stroke-related acute lesion, any nonstroke-related lesions, chronic/subacute stroke, leukoaraiosis, significant arterial pathology in ischemic territory on computed tomography angiography/magnetic resonance angiography/Doppler, significant intracranial arterial pathology in ischemic territory, and focal hypoperfusion on perfusion-computed tomography. The Alberta Stroke Program Early CT score on plain imaging and any significant extracranial arterial pathology on computed tomography angiography/magnetic resonance angiography/Doppler were independent predictors of outcome (odds ratio: 0·93, 95% CI: 0·87-0·99 and odds ratio: 1·49, 95% CI: 1·08-2·05, respectively) but did not increase ASTRAL score's AUC (0·849 vs. 0·850, and 0·8563 vs. 0·8564, respectively). In exploratory analyses in subgroups of different prognosis, age or stroke severity, no covariate was found to increase ASTRAL score's AUC, either. The addition of information derived from multimodal imaging does not increase ASTRAL score's accuracy to predict functional outcome despite having an independent prognostic value. More selected radiological parameters applied in specific subgroups of stroke patients may add prognostic value of multimodal imaging. © 2014 World Stroke Organization.
Gender differences in the predictors of physical activity among assisted living residents.
Chen, Yuh-Min; Li, Yueh-Ping; Yen, Min-Ling
2015-05-01
To explore gender differences in the predictors of physical activity (PA) among assisted living residents. A cross-sectional design was adopted. A convenience sample of 304 older adults was recruited from four assisted living facilities in Taiwan. Two separate simultaneous multiple regression analyses were conducted to identify the predictors of PA for older men and women. Independent variables entered into the regression models were age, marital status, educational level, past regular exercise participation, number of chronic diseases, functional status, self-rated health, depression, and self-efficacy expectations. In older men, a junior high school or higher educational level, past regular exercise participation, better functional status, better self-rated health, and higher self-efficacy expectations predicted more PA, accounting for 61.3% of the total variance in PA. In older women, better self-rated health, lower depression, and higher self-efficacy expectations predicted more PA, accounting for 50% of the total variance in PA. Predictors of PA differed between the two genders. The results have crucial implications for developing gender-specific PA interventions. Through a clearer understanding of gender-specific predictors, healthcare providers can implement gender-sensitive PA-enhancing interventions to assist older residents in performing sufficient PA. © 2015 Sigma Theta Tau International.
Saad, Sameh; Mohamed, Naglaa; Moghazy, Amr; Ellabban, Gouda; El-Kamash, Soliman
2016-01-01
The trauma and injury severity score (TRISS) and Acute Physiology and Chronic Health Evaluation IV (APACHE IV) are accurate but complex. This study aimed to compare venous glucose, levels of serum lactate, and base deficit in polytraumatized patients as simple parameters to predict the mortality in these patients versus (TRISS) and (APACHE IV). This was a comparative cross-sectional study of 282 patients with polytrauma presented to the Emergency Department (ED). The best cut off value of TRISS probability of survival score for prediction of mortality among poly-traumatized patients was ≤90. APACHE IV demonstrated 67% sensitivity and 95% specificity at 95% CI at cut off point 99. The best cutoff value of Random Blood Sugar was >140 mg/dl, with 89% sensitivity, 49% specificity; base deficit was less than -5.6 with 64% sensitivity, 93% specificity; lactate was >2.6 mmol/L with 92%, sensitivity, 42% specificity. Venous glucose, serum lactate and base deficit are easy and rapid biochemical predictors of mortality in patients with polytrauma. These predictors could be used as TRISS and APACHE IV in predicting mortality.
Short, Nicole A; Allan, Nicholas P; Stentz, Lauren; Portero, Amberly K; Schmidt, Norman B
2018-02-01
Despite the high levels of comorbidity between post-traumatic stress disorder (PTSD) and sleep disturbance, little research has examined the predictors of insomnia and nightmares in this population. The current study tested both PTSD-specific (i.e. PTSD symptoms, comorbid anxiety and depression, nightmares and fear of sleep) and insomnia-specific (i.e. dysfunctional beliefs about sleep, insomnia-related safety behaviours and daily stressors) predictors of sleep quality, efficiency and nightmares in a sample of 30 individuals with PTSD. Participants participated in ecological momentary assessment to determine how daily changes in PTSD- and insomnia-related factors lead to changes in sleep. Multi-level modelling analyses indicated that, after accounting for baseline PTSD symptom severity, PTSD-specific factors were associated with insomnia symptoms, but insomnia-specific factors were not. Only daytime PTSD symptoms and fear of sleep predicted nightmares. Both sleep- and PTSD-related factors play a role in maintaining insomnia among those with PTSD, while nightmares seem to be linked more closely with only PTSD-related factors. © 2017 European Sleep Research Society.
The Relationship Between Burnout and Occupational Stress in Genetic Counselors.
Johnstone, Brittney; Kaiser, Amy; Injeyan, Marie C; Sappleton, Karen; Chitayat, David; Stephens, Derek; Shuman, Cheryl
2016-08-01
Burnout represents a critical disruption in an individual's relationship with work, resulting in a state of exhaustion in which one's occupational value and capacity to perform are questioned. Burnout can negatively affect an individual's personal life, as well as employers in terms of decreased work quality, patient/client satisfaction, and employee retention. Occupational stress is a known contributor to burnout and occurs as a result of employment requirements and factors intrinsic to the work environment. Empirical research examining genetic counselor-specific burnout is limited; however, existing data suggests that genetic counselors are at increased risk for burnout. To investigate the relationship between occupational stress and burnout in genetic counselors, we administered an online survey to members of three genetic counselor professional organizations. Validated measures included the Maslach Burnout Inventory-General Survey (an instrument measuring burnout on three subscales: exhaustion, cynicism, and professional efficacy) and the Occupational Stress Inventory-Revised (an instrument measuring occupational stress on 14 subscales). Of the 353 respondents, more than 40 % had either considered leaving or left their job role due to burnout. Multiple regression analysis yielded significant predictors for burnout risk. The identified sets of predictors account for approximately 59 % of the variance in exhaustion, 58 % of the variance in cynicism, and 43 % of the variance in professional efficacy. Our data confirm that a significant number of genetic counselors experience burnout and that burnout is correlated with specific aspects of occupational stress. Based on these findings, practice and research recommendations are presented.
Chisman, Robin; Lowry, Danielle; Saeed, Mujahid A; Tiwari, Alok; David, Miruna D
2017-08-01
The aim of this study was to evaluate the role of microscopy, Gram stain and the culture of tissue samples in the antibiotic treatment of patients with diabetic foot infection. A retrospective review of patients with a diabetic foot infection was undertaken. Data analysed included the severity of infection, antibiotic prescribing patterns, microscopy and culture results. A total of 71 patients were included, from whom 114 tissue samples were collected. Gram stain results were in agreement with final culture results in 45·8% (n = 54) of samples. Overall sensitivity and specificity of the Gram stains were low (74·5% and 69·8%, respectively), although the specificity for Gram-negative rods was high (98·5%). The presence or absence of 'pus cells' on microscopy was a poor predictor of culture results. Empirical prescribing of antibiotics was in accordance with local policy in 31·1% of patients, improving to 86·8 % following culture results. Microscopy, a skilled laboratory procedure, was generally a poor predictor of tissue culture results. However, the presence of Gram-negative rods was suggestive of isolation in the culture of such organisms and could allow the early broadening of antibiotic treatment. Despite initial poor compliance of empirical antibiotic treatment regimens, prescribing was adjusted in light of culture results, suggesting these were important for clinicians. © 2016 Medicalhelplines.com Inc and John Wiley & Sons Ltd.
Carlisle, D.M.; Falcone, J.; Meador, M.R.
2009-01-01
We developed and evaluated empirical models to predict biological condition of wadeable streams in a large portion of the eastern USA, with the ultimate goal of prediction for unsampled basins. Previous work had classified (i.e., altered vs. unaltered) the biological condition of 920 streams based on a biological assessment of macroinvertebrate assemblages. Predictor variables were limited to widely available geospatial data, which included land cover, topography, climate, soils, societal infrastructure, and potential hydrologic modification. We compared the accuracy of predictions of biological condition class based on models with continuous and binary responses. We also evaluated the relative importance of specific groups and individual predictor variables, as well as the relationships between the most important predictors and biological condition. Prediction accuracy and the relative importance of predictor variables were different for two subregions for which models were created. Predictive accuracy in the highlands region improved by including predictors that represented both natural and human activities. Riparian land cover and road-stream intersections were the most important predictors. In contrast, predictive accuracy in the lowlands region was best for models limited to predictors representing natural factors, including basin topography and soil properties. Partial dependence plots revealed complex and nonlinear relationships between specific predictors and the probability of biological alteration. We demonstrate a potential application of the model by predicting biological condition in 552 unsampled basins across an ecoregion in southeastern Wisconsin (USA). Estimates of the likelihood of biological condition of unsampled streams could be a valuable tool for screening large numbers of basins to focus targeted monitoring of potentially unaltered or altered stream segments. ?? Springer Science+Business Media B.V. 2008.
Predictors of multidisciplinary treatment outcome in fibromyalgia:a systematic review.
de Rooij, Aleid; Roorda, Leo D; Otten, René H J; van der Leeden, Marike; Dekker, Joost; Steultjens, Martijn P M
2013-03-01
To identify outcome predictors for multidisciplinary treatment in patients with chronic widespread pain (CWP) or fibromyalgia (FM). A systematic literature search in PubMed, PsycINFO, CINAHL, Cochrane Library, EMBASE and Pedro. Selection criteria included: age over 18; diagnosis CWP or FM; multidisciplinary treatment; longitudinal study design; original research report. Outcome domains: pain, physical functioning, emotional functioning, global treatment effect and 'others'. Methodological quality of the selected articles was assessed and a qualitative data synthesis was performed to identify the level of evidence. Fourteen studies (all with FM patients) fulfilled the selection criteria. Six were of high quality. Poorer outcome (pain, moderate evidence; physical functioning and quality of life, weak evidence) was predicted by depression. Similarly, poorer outcome was predicted by the disturbance and pain profile of the Minnesota Multiphasic Personality Inventory (MMPI), strong beliefs in fate and high disability (weak evidence). A better outcome was predicted by a worse baseline status, the dysfunctional and the adaptive copers profile of the Multidimensional Pain Inventory (MPI), and high levels of pain (weak evidence). Some predictors were related to specific multidisciplinary treatment (weak evidence). Inconclusive evidence was found for other demographic and clinical factors, cognitive and emotional factors, symptoms and physical functioning as predictors of outcome. It was found that a higher level of depression was a predictor of poor outcome in FM (moderate evidence). In addition, it was found that the baseline status, specific patient profiles, belief in fate, disability, and pain were predictors of the outcome of multidisciplinary treatment. Our results highlight the lack of high quality studies for evaluating predictors of the outcome of multidisciplinary treatment in FM. Further research on predictors of multidisciplinary treatment outcome is needed.
NASA Astrophysics Data System (ADS)
Hofer, Marlis; MöLg, Thomas; Marzeion, Ben; Kaser, Georg
2010-06-01
Recently initiated observation networks in the Cordillera Blanca (Peru) provide temporally high-resolution, yet short-term, atmospheric data. The aim of this study is to extend the existing time series into the past. We present an empirical-statistical downscaling (ESD) model that links 6-hourly National Centers for Environmental Prediction (NCEP)/National Center for Atmospheric Research (NCAR) reanalysis data to air temperature and specific humidity, measured at the tropical glacier Artesonraju (northern Cordillera Blanca). The ESD modeling procedure includes combined empirical orthogonal function and multiple regression analyses and a double cross-validation scheme for model evaluation. Apart from the selection of predictor fields, the modeling procedure is automated and does not include subjective choices. We assess the ESD model sensitivity to the predictor choice using both single-field and mixed-field predictors. Statistical transfer functions are derived individually for different months and times of day. The forecast skill largely depends on month and time of day, ranging from 0 to 0.8. The mixed-field predictors perform better than the single-field predictors. The ESD model shows added value, at all time scales, against simpler reference models (e.g., the direct use of reanalysis grid point values). The ESD model forecast 1960-2008 clearly reflects interannual variability related to the El Niño/Southern Oscillation but is sensitive to the chosen predictor type.
Brown, Louise A; Brockmole, James R; Gow, Alan J; Deary, Ian J
2012-01-01
BACKGROUND/STUDY CONTEXT: Visual working memory (VWM) has been shown to be particularly age sensitive. Determining which measures share variance with this cognitive ability in older adults may help to elucidate the key factors underlying the effects of aging. Predictors of VWM (measured by a modified Visual Patterns Test) were investigated in a subsample (N = 44, mean age = 73) of older adults from the Lothian Birth Cohort 1936 (LBC1936; Deary et al., 2007 , BMC Geriatrics, 7, 28). Childhood intelligence (Moray House Test) and contemporaneous measures of processing speed (four-choice reaction time), executive function (verbal fluency; block design), and spatial working memory (backward spatial span), were assessed as potential predictors. All contemporaneous measures except verbal fluency were significantly associated with VWM, and processing speed had the largest effect size (r = -.53, p < .001). In linear regression analysis, even after adjusting for childhood intelligence, processing speed and the executive measure associated with visuospatial organization accounted for 35% of the variance in VWM. Processing speed may affect VWM performance in older adults via speed of encoding and/or rate of rehearsal, while executive resources specifically associated with visuospatial material are also important.
Hall, Michael Edward; Bergman, Randall J; Nivens, Samantha
2014-09-01
This study explores the relationship between organizational health climate and worksite health promotion program participation, specifically engaging individuals who are unlikely to make positive health behavior choices on their own. Participants consisted of employees at three separate furniture-manufacturing facilities completing a voluntary survey. Using responses (n = 349) from the health climate instrument, which is a measure of the collective attitudes, beliefs, and readiness to change a health behavior, this study identified two factors that were significant contributors to worksite health promotion program participation. Health norms, the collective attitudes regarding healthy lifestyle, as measured by the subscales-health scale and intention to make a behavior change-and "optimistic bias," the overassessment of one's personal health, were found to be predictors of participation. Additionally, significant (p < .05) predictors of self-assessed health, included perceived control to initiate, competence to carry out, and the organizational support of the health behavior change. The findings suggest that the organization's health norms and self-assessed health are associated with the worker's motivation to become involved with health promotion interventions. Offering worksite health screenings and advanced programming and creating a culture of health at work can help address program participation. © 2013 Society for Public Health Education.
Schultz, R O; Peters, M A; Sobocinski, K; Nassif, K; Schultz, K J
1983-01-01
Corneal epithelial lesions can be found in approximately one-half of asymptomatic patients with diabetes mellitus. These lesions are transient and clinically resemble the keratopathy seen in staphylococcal keratoconjunctivitis. Staphylococcal organisms, however, can be isolated in equal percentages from diabetic patients without keratopathy. Diabetic peripheral neuropathy was found to be related to the presence of diabetic keratopathy after adjusting for age with analysis of covariance. The strongest predictor of both keratopathy and corneal fluorescein staining was vibration perception threshold in the toes (P less than 0.01); and the severity of keratopathy was directly related to the degree of diminution of peripheral sensation. Other predictors of keratopathy were: reduced tear breakup time (P less than 0.03), type of diabetes (P less than 0.01), and metabolic status as indicated by c-peptide fasting (P less than 0.01). No significant relationships were found between the presence of keratopathy and tear glucose levels, endothelial cell densities, corneal thickness measurements, the presence of S epidermidis, or with duration of disease. It is our conclusion that asymptomatic epithelial lesions in the nontraumatized diabetic cornea can occur as a manifestation of generalized polyneuropathy and probably represent a specific form of corneal neuropathy. Images FIGURE 1 FIGURE 2 FIGURE 3 PMID:6676964
Endrizzi, J; Seay, T
2000-04-01
To evaluate, in patients with pathologically localized prostate cancer, the relationship between early biochemical failure, i.e. an increasing prostate-specific antigen (PSA) level, and perineural invasion (PNI) on final pathology. The records were reviewed of 171 patients with prostate cancer who underwent prostatectomy at one institution between January 1992 and December 1995. Data on the histology, therapy and PSA level were collected and evaluated. Of the 171 patients with pathologically localized (pT2) prostate cancer, 131 were evaluable; 17 (13%) had a detectable PSA level in the first 5 years after surgery and 63 had PNI in the pathological specimen. Of those with PSA recurrence, 14 had PNI, one had no PNI and in two there was no comment on PNI. In comparison, only 10 of the 17 patients with recurrence had a Gleason sum of >/= 7. Perineural invasion seems to be an important predictor of early outcome in patients with organ-confined prostate cancer treated by prostatectomy. In this series it was the most sensitive predictor of biochemical failure. A more detailed pathological evaluation of prostate cancer may allow the clinician to provide closer surveillance and better informed clinical decision-making.
SOIL SORPTION OF VOLATILE AND SEMIVOLATILE ORGANIC COMPOUNDS IN A MIXTURE
Studies were conducted to evaluate lipophilicity as a predictor sorption for a mixture of organic compounds with high vapor pressures commonly present at hazardous waste sites. Sorption partition coefficients (
USDA-ARS?s Scientific Manuscript database
Although permafrost soils contain vast stores of carbon, we know relatively little about the chemical composition of their constituent organic matter. Soil organic matter chemistry is an important predictor of decomposition rates, especially in the initial stages of decomposition. Permafrost, organi...
Donor selection criteria for liver transplantation in Argentina: are current standards too rigorous?
Dirchwolf, Melisa; Ruf, Andrés E; Biggins, Scott W; Bisigniano, Liliana; Hansen Krogh, Daniela; Villamil, Federico G
2015-02-01
Organ shortage is the major limitation for the growth of deceased donor liver transplant worldwide. One strategy to ameliorate this problem is to maximize the liver utilization rate. To assess predictors of liver utilization in Argentina. The national database was used to analyze transplant activity in 2010. Donor, recipient, and transplant variables were evaluated as predictors of graft utilization of number of rejected donor offers before grafting and with the occurrence of primary nonfunction (PNF) or early post-transplant mortality (EM). Of the 582 deceased donors, 293 (50.3%) were recovered for liver transplant. Variables associated with the nonrecovery of the liver were age ≥46 years, umbilical perimeter ≥92 cm, organ procurement outside Gran Buenos Aires, AST ≥42 U/l and ALT ≥29 U/l. The median number of rejected offers before grafting was 4, and in 71 patients (25%), there were ≥13. The only independent predictor for the occurrence of PNF (3.4%) or EM (5.2%) was the recipient's emergency status. During 2010 in Argentina, the liver was recovered in only half of donors. The low incidence of PNF and EM and the characteristics of the nonrecovered liver donors suggest that organ acceptance criteria should be less rigorous. © 2014 Steunstichting ESOT.
Authentic leadership and its effect on employees' organizational citizenship behaviours.
Edú Valsania, Sergio; Moriano León, Juan A; Molero Alonso, Fernando; Topa Cantisano, Gabriela
2012-11-01
The studies that have verified the positive association of authentic leadership with organizational citizenship behaviours (OCBs), have used global measures of both constructs. Therefore, the goal of this work is to analyze the effect of authentic leadership on employees' OCBs, specifically focusing on the relations of the four components of authentic leadership with the individual and organizational dimensions of the OCBs. The participants of this study were 220 Spanish employees (30.9% men and 69.1% women) who completed a questionnaire that included the variables of interest in this study: Authentic Leadership, OCB and Sociobiographical control variables. The results, obtained with stepwise multiple regression analysis, show that two components of authentic leadership-moral perspective and relational transparency-present significant relationships with OCB. Moreover, authentic leadership is a better predictor of employees' OCB when these behaviors are impersonal and directed towards the organization than when they are directed towards other people. These results have practical implications for human resources management in organizations, especially in selection processes and when training top executives.
Risk Factors for Spousal Physical Violence Against Women in Saudi Arabia.
Eldoseri, Halah M; Sharps, Phyllis
2017-03-01
This study aimed to explore selected risk factors for spousal physical violence (SPV) in women frequenting primary health care clinics (PHCs) in Saudi Arabia. A cross-sectional study design was conducted in six PHCs, where one-on-one, private interviews with 200 women were conducted using a standardized World Health Organization (WHO) violence against women questionnaire (v.10.0). SPV was reported by 45.5% of women. Husband-specific risk factors including alcohol or drug addiction, unemployment, control of wealth in the family, and physical aggression toward other men were significant predictors for SPV. A multisectoral approach should be implemented with focus on providers' training, women's safety, and involvement of men in violence prevention and intervention programs.
Kern, Lisa M; Wilcox, Adam B; Shapiro, Jason; Yoon-Flannery, Kahyun; Abramson, Erika; Barron, Yolanda; Kaushal, Rainu
2011-04-01
To determine potential predictors of sustainability among community-based organizations that are implementing health information technology (HIT) with health information exchange, in a state with significant funding of such organizations. A longitudinal cohort study of community-based organizations funded through the first phase of the $440 million Healthcare Efficiency and Affordability Law for New Yorkers program. We administered a baseline telephone survey in January and February 2007, using a novel instrument with open-ended questions, and collected follow-up data from the New York State Department of Health regarding subsequent funding awarded in March 2008. We used logistic regression to determine associations between 18 organizational characteristics and subsequent funding. All 26 organizations (100%) responded. Having the alliance led by a health information organization (odds ratio [OR] 11.4, P = .01) and having performed a community-based needs assessment (OR 5.1, P = .08) increased the unadjusted odds of subsequent funding. Having the intervention target the long-term care setting (OR 0.14, P = .03) decreased the unadjusted odds of subsequent funding. In the multivariate model, having the alliance led by a health information organization, rather than a healthcare organization, increased the odds of subsequent funding (adjusted OR 6.4; 95% confidence interval 0.8, 52.6; P = .08). Results from this longitudinal study suggest that both health information organizations and healthcare organizations are needed for sustainable HIT transformation.
Ervasti, Jenni; Mattila-Holappa, Pauliina; Joensuu, Matti; Pentti, Jaana; Lallukka, Tea; Kivimäki, Mika; Vahtera, Jussi; Virtanen, Marianna
2017-01-01
The aim of this study was to investigate the level and predictors of work disability in different age groups. We followed young (18 to 34 years), middle-aged (35 to 50 years), and aging (>50 years) employees (n = 70,417) for 7 years (2005 to 2011) for all-cause and cause-specific work disability (sickness absence and disability pension). Using negative binomial regression, we obtained both relative risk estimates and absolute rates, that is, days of work disability per person-year. The greatest relative difference in all-cause, and specifically depression-related work disability, was between young women and young men, and between employees with low versus high levels of education. Aging employees with a low education and chronic somatic disease had the highest levels of musculoskeletal disorder related work disability. The predictors of work disability vary by age and diagnosis. These results help target age-specific measures for the prevention of permanent work disability.
Using a standardized donor ratio to assess the performance of organ procurement organizations.
Stogis, Sheryl; Hirth, Richard A; Strawderman, Robert L; Banaszak-Holl, Jane; Smith, Dean G
2002-10-01
To develop a Standardized Donor Ratio (SDR) as an outcome measure for evaluating the effectiveness of organ procurement organizations (OPOs). All deaths by cause in the United States during 1993-1994 as reported in the Vital Mortality Statistics, Multiple Cause of Death files. The OPO-specific data were provided by the United Network for Organ Sharing (UNOS). Each OPO's expected number of donors was calculated by applying national donation rates to deaths with potential for donation in 24 age, sex, and race cells. The SDR was calculated by dividing the observed number of donors by the expected number. The chi2 tests of the hypothesis that the OPO's performance differed from the national norm of 1.0 were performed. The SDR was compared to the existing performance standard based on the unadjusted number of donors per million live population in the OPO's service area. An ordinary least squares (OLS) regression assessed predictors of the SDR. The SDRs ranged from 0.41 to 1.99. Twenty-nine of 64 OPOs had SDRs significantly different than 1.0. The SDRs were positively associated with the percent of white living population and the number of organ types transplanted per transplant center served by the OPO. The SDRs can be used by Centers for Medicare and Medicaid Services (CMS), UNOS, and OPOs to target quality improvement initiatives, present more accurate comparisons of OPO performance, and develop public policy on the evaluation of the effectiveness of organ procurement efforts.
Prospective study of risk factors for suicidal behavior in individuals with anxiety disorders.
Uebelacker, L A; Weisberg, R; Millman, M; Yen, S; Keller, M
2013-07-01
Anxiety disorders are very common and increase risk for suicide attempts. Little is known about predictors of increased risk specifically among individuals with anxiety disorders. The purpose of this study was to investigate whether specific anxiety disorders and other co-morbid psychiatric disorders, physical health, or work or social functioning increased the future likelihood of a suicide attempts among individuals with anxiety disorders. Method In this prospective study, 676 individuals with an anxiety disorder were followed for an average of 12 years. As hypothesized, we found that post-traumatic stress disorder, major depressive disorder (MDD), intermittent depressive disorder (IDD), epilepsy, pain, and poor work and social functioning all predicted a shorter time to a suicide attempt in univariate analyses. In multivariate analyses, baseline MDD and IDD were independent predictors of time to suicide attempt, even when controlling for a past history of suicide attempt. No specific anxiety disorder was an independent predictor of time to attempt in this anxiety-disordered sample. Adding baseline physical health variables and social functioning did not improve the ability of the model to predict time to suicide attempt. Mood disorders and past history of suicide attempts are the most powerful predictors of a future suicide attempt in this sample of individuals, all of whom have an anxiety disorder.
Stagnitti, Karen; Lewis, Fiona M
2015-04-01
This study investigated if the quality of pre-school children's pretend play predicted their semantic organization and narrative re-telling ability when they were in early primary school. It was hypothesized that the elaborateness of a child's play and the child's use of symbols in play were predictors of their semantic organization and narrative re-tell scores of the School Age Oral Language Assessment. Forty-eight children were assessed using the Child-Initiated Pretend Play Assessment when they were aged 4-5 years. Three-to-five years after this assessment their semantic organization and narrative re-telling skills were assessed. Results indicate that the elaborateness of a child's play and their ability to use symbols was predictive of semantic organization skills. Use of symbols in play was the strongest play predictor of narrative re-telling skills. The quality of a pre-school child's ability to elaborate complex sequences in pretend play and use symbols predicted up to 20% of a child's semantic organization and narrative re-telling skills up to 5 years later. The study provides evidence that the quality of pretend play in 4-5 year olds is important for semantic organization and narrative re-telling abilities in the school-aged child.
Suchting, Robert; Gowin, Joshua L; Green, Charles E; Walss-Bass, Consuelo; Lane, Scott D
2018-01-01
Rationale : Given datasets with a large or diverse set of predictors of aggression, machine learning (ML) provides efficient tools for identifying the most salient variables and building a parsimonious statistical model. ML techniques permit efficient exploration of data, have not been widely used in aggression research, and may have utility for those seeking prediction of aggressive behavior. Objectives : The present study examined predictors of aggression and constructed an optimized model using ML techniques. Predictors were derived from a dataset that included demographic, psychometric and genetic predictors, specifically FK506 binding protein 5 (FKBP5) polymorphisms, which have been shown to alter response to threatening stimuli, but have not been tested as predictors of aggressive behavior in adults. Methods : The data analysis approach utilized component-wise gradient boosting and model reduction via backward elimination to: (a) select variables from an initial set of 20 to build a model of trait aggression; and then (b) reduce that model to maximize parsimony and generalizability. Results : From a dataset of N = 47 participants, component-wise gradient boosting selected 8 of 20 possible predictors to model Buss-Perry Aggression Questionnaire (BPAQ) total score, with R 2 = 0.66. This model was simplified using backward elimination, retaining six predictors: smoking status, psychopathy (interpersonal manipulation and callous affect), childhood trauma (physical abuse and neglect), and the FKBP5_13 gene (rs1360780). The six-factor model approximated the initial eight-factor model at 99.4% of R 2 . Conclusions : Using an inductive data science approach, the gradient boosting model identified predictors consistent with previous experimental work in aggression; specifically psychopathy and trauma exposure. Additionally, allelic variants in FKBP5 were identified for the first time, but the relatively small sample size limits generality of results and calls for replication. This approach provides utility for the prediction of aggression behavior, particularly in the context of large multivariate datasets.
ERIC Educational Resources Information Center
Bohnert, Amy M.; Garber, Judy
2007-01-01
This longitudinal study examined psychopathology as a predictor and outcome of organized activity involvement during high school among 198 adolescents who varied in risk for psychopathology as a function of their mother's depression history. Higher levels of internalizing and externalizing symptoms in eighth grade significantly predicted lower…
Predictors of Spousal Support for the Work Commitments of Husbands.
ERIC Educational Resources Information Center
Pittman, Joe F.; Orthner, Dennis K.
1988-01-01
Examined antecedents of spousal support of husbands' work commitment from perspective of wives. Found spousal support influenced directly only by satisfaction with quality of life made possible by local work organization and length of involvement with organization. Marital and social adjustment, and perceptions of husband's work environment…
ERIC Educational Resources Information Center
Carter, Carolyn G.; And Others
The relationship between employee turnover intentions and various predictors of turnover are examined in this study based on the theoretical framework of March and Simon's (1958) "decision to participate" model. Specifically, the predictors include desirability of movement (organizational commitment), ease of movement, job satisfaction,…
Predictors of College Adjustment among Hispanic Students
ERIC Educational Resources Information Center
Yazedjian, Ani; Toews, Michelle L.
2006-01-01
The purpose of this study is to assess personal and interpersonal predictors of college adjustment among a sample of 190 first-year Hispanic students. Specifically, we examined the extent to which personal factors such as self-esteem, acculturation, and ethnic identity and interpersonal factors such as parental education and parental attachment…
Individual- and School-Level Predictors of Student Office Disciplinary Referrals
ERIC Educational Resources Information Center
Martinez, Andrew; McMahon, Susan D.; Treger, Stan
2016-01-01
Research has widely documented the over-representation of office disciplinary referrals (ODRs) among specific student groups (e.g., African American, boys). Despite extant research documenting individual-level predictors of ODRs, few studies have accounted for the nested structure of the settings in which these events occur. Guided by critical…
McLaughlin, Katie A.; Gadermann, Anne M.; Hwang, Irving; Sampson, Nancy A.; Al-Hamzawi, Ali; Andrade, Laura Helena; Angermeyer, Matthias C.; Benjet, Corina; Bromet, Evelyn J.; Bruffaerts, Ronny; Caldas-de-Almeida, José Miguel; de Girolamo, Giovanni; de Graaf, Ron; Florescu, Silvia; Gureje, Oye; Haro, Josep Maria; Hinkov, Hristo Ruskov; Horiguchi, Itsuko; Hu, Chiyi; Karam, Aimee Nasser; Kovess-Masfety, Viviane; Lee, Sing; Murphy, Samuel D.; Nizamie, S. Haque; Posada-Villa, José; Williams, David R.; Kessler, Ronald C.
2012-01-01
Background Associations between specific parent and offspring mental disorders are likely to have been overestimated in studies that have failed to control for parent comorbidity. Aims To examine the associations of parent with respondent disorders. Method Data come from the World Health Organization (WHO) World Mental Health Surveys (n = 51 507). Respondent disorders were assessed with the Composite International Diagnostic Interview and parent disorders with informant-based Family History Research Diagnostic Criteria interviews. Results Although virtually all parent disorders examined (major depressive, generalised anxiety, panic, substance and antisocial behaviour disorders and suicidality) were significantly associated with offspring disorders in multivariate analyses, little specificity was found. Comorbid parent disorders had significant sub-additive associations with offspring disorders. Population-attributable risk proportions for parent disorders were 12.4% across all offspring disorders, generally higher in high- and upper-middle- than low-/lower-middle-income countries, and consistently higher for behaviour (11.0-19.9%) than other (7.1-14.0%) disorders. Conclusions Parent psychopathology is a robust non-specific predictor associated with a substantial proportion of offspring disorders. PMID:22403085
Xenidou-Dervou, Iro; Van Luit, Johannes E H; Kroesbergen, Evelyn H; Friso-van den Bos, Ilona; Jonkman, Lisa M; van der Schoot, Menno; van Lieshout, Ernest C D M
2018-04-24
Research has identified various domain-general and domain-specific cognitive abilities as predictors of children's individual differences in mathematics achievement. However, research into the predictors of children's individual growth rates, namely between-person differences in within-person change in mathematics achievement is scarce. We assessed 334 children's domain-general and mathematics-specific early cognitive abilities and their general mathematics achievement longitudinally across four time-points within the first and second grades of primary school. As expected, a constellation of multiple cognitive abilities contributed to the children's starting level of mathematical success. Specifically, latent growth modeling revealed that WM abilities, IQ, counting skills, nonsymbolic and symbolic approximate arithmetic and comparison skills explained individual differences in the children's initial status on a curriculum-based general mathematics achievement test. Surprisingly, however, only one out of all the assessed cognitive abilities was a unique predictor of the children's individual growth rates in mathematics achievement: their performance in the symbolic approximate addition task. In this task, children were asked to estimate the sum of two large numbers and decide if this estimated sum was smaller or larger compared to a third number. Our findings demonstrate the importance of multiple domain-general and mathematics-specific cognitive skills for identifying children at risk of struggling with mathematics and highlight the significance of early approximate arithmetic skills for the development of one's mathematical success. We argue the need for more research focus on explaining children's individual growth rates in mathematics achievement. © 2018 John Wiley & Sons Ltd.
Characteristics associated with regional health information organization viability.
Adler-Milstein, Julia; Landefeld, John; Jha, Ashish K
2010-01-01
Regional Health Information Organizations (RHIOs) will likely play a key role in our nation's effort to catalyze health information exchange. Yet we know little about why some efforts succeed while others fail. We sought to identify factors associated with RHIO viability. Using data from a national survey of RHIOs that we conducted in mid-2008, we examined factors associated with becoming operational and factors associated with financial viability. We used multivariate logistic regression models to identify unique predictors. We classified RHIOs actively facilitating data exchange as operational and measured financial viability as the percent of operating costs covered by revenue from participants in data exchange (0-24%, 25-74%, 75-100%). Predictors included breadth of participants, breadth of data exchanged, whether the RHIO focused on a specific population, whether RHIO participants had a history of collaborating, and sources of revenue during the planning phase. Exchanging a narrow set of data and involving a broad group of stakeholders were independently associated with a higher likelihood of being operational. Involving hospitals and ambulatory physicians, and securing early funding from participants were associated with a higher likelihood of financial viability, while early grant funding seemed to diminish the likelihood. Finding ways to help RHIOs become operational and self-sustaining will bolster the current approach to nationwide health information exchange. Our work suggests that convening a broad coalition of stakeholders to focus on a narrow set of data is an important step in helping RHIOs become operational. Convincing stakeholders to financially commit early in the process may help RHIOs become self-sustaining.
Predictors of Short-Term Readmission After Pancreaticoduodenectomy.
Ramanathan, Rajesh; Mason, Travis; Wolfe, Luke G; Kaplan, Brian J
2018-06-01
Readmissions are a common complication after pancreaticoduodenectomy and are increasingly being used as a performance metric affecting quality assessment, public reporting, and reimbursement. This study aims to identify general and pancreatectomy-specific factors contributing to 30-day readmission after pancreaticoduodenectomy, and determine the additive value of incorporating pancreatectomy-specific factors into a large national dataset. Prospective American College of Surgeons-National Surgical Quality Improvement Project (ACS-NSQIP) data were retrospectively analyzed for patients who underwent pancreaticoduodenectomy (PD) between 2011 and 2015. Additionally, a subset of patients with pancreatectomy-targeted data between 2014 and 2015 were analyzed. Outcomes of 18,440 pancreaticoduodenectomies were analyzed, and found to have an 18.7% overall readmission rate. Multivariable modeling with pancreatectomy-specific variables increased the predictive value of the model (area under receiver operator characteristic 0.66 to 0.73). Statistically significant independent contributors to readmission included renal insufficiency, sepsis, septic shock, organ space infection, dehiscence, venous thromboembolism, pancreatic fistula, delayed gastric emptying, need for percutaneous drainage, and reoperation. Large registry analyses of pancreatectomy outcomes are markedly improved by the incorporation of granular procedure-specific data. These data emphasize the need for prevention and careful management of perioperative infectious complications, fluid management, thromboprophylaxis, and pancreatic fistulae.
Host specificity and the probability of discovering species of helminth parasites.
Poulin, R; Mouillot, D
2005-06-01
Different animal species have different probabilities of being discovered and described by scientists, and these probabilities are determined to a large extent by the biological characteristics of these species. For instance, species with broader geographical ranges are more likely to be encountered by collectors than species with restricted distributions; indeed, the size of the geographical range is often the best predictor of a species' date of description. For parasitic organisms, host specificity may be similarly linked to the probability of a species being found. Here, using data on 170 helminth species parasitic in freshwater fishes, we show that host specificity is associated with the year in which the helminths were described. Helminths that exploit more host species, and to a lesser degree those that exploit a broader taxonomic range of host species, tend to be discovered earlier than the more host-specific helminths. This pattern was observed across all helminth species, as well as within the different helminth taxa (trematodes, cestodes, nematodes and acanthocephalans). Our results demonstrate that the parasite species known at any given point in time are not a random subset of existing species, but rather a biased subset with respect to the parasites' biological properties.
Patient-specific Radiation Dose and Cancer Risk for Pediatric Chest CT
Samei, Ehsan; Segars, W. Paul; Sturgeon, Gregory M.; Colsher, James G.; Frush, Donald P.
2011-01-01
Purpose: To estimate patient-specific radiation dose and cancer risk for pediatric chest computed tomography (CT) and to evaluate factors affecting dose and risk, including patient size, patient age, and scanning parameters. Materials and Methods: The institutional review board approved this study and waived informed consent. This study was HIPAA compliant. The study included 30 patients (0–16 years old), for whom full-body computer models were recently created from clinical CT data. A validated Monte Carlo program was used to estimate organ dose from eight chest protocols, representing clinically relevant combinations of bow tie filter, collimation, pitch, and tube potential. Organ dose was used to calculate effective dose and risk index (an index of total cancer incidence risk). The dose and risk estimates before and after normalization by volume-weighted CT dose index (CTDIvol) or dose–length product (DLP) were correlated with patient size and age. The effect of each scanning parameter was studied. Results: Organ dose normalized by tube current–time product or CTDIvol decreased exponentially with increasing average chest diameter. Effective dose normalized by tube current–time product or DLP decreased exponentially with increasing chest diameter. Chest diameter was a stronger predictor of dose than weight and total scan length. Risk index normalized by tube current–time product or DLP decreased exponentially with both chest diameter and age. When normalized by DLP, effective dose and risk index were independent of collimation, pitch, and tube potential (<10% variation). Conclusion: The correlations of dose and risk with patient size and age can be used to estimate patient-specific dose and risk. They can further guide the design and optimization of pediatric chest CT protocols. © RSNA, 2011 Supplemental material: http://radiology.rsna.org/lookup/suppl/doi:10.1148/radiol.11101900/-/DC1 PMID:21467251
Patient-specific radiation dose and cancer risk for pediatric chest CT.
Li, Xiang; Samei, Ehsan; Segars, W Paul; Sturgeon, Gregory M; Colsher, James G; Frush, Donald P
2011-06-01
To estimate patient-specific radiation dose and cancer risk for pediatric chest computed tomography (CT) and to evaluate factors affecting dose and risk, including patient size, patient age, and scanning parameters. The institutional review board approved this study and waived informed consent. This study was HIPAA compliant. The study included 30 patients (0-16 years old), for whom full-body computer models were recently created from clinical CT data. A validated Monte Carlo program was used to estimate organ dose from eight chest protocols, representing clinically relevant combinations of bow tie filter, collimation, pitch, and tube potential. Organ dose was used to calculate effective dose and risk index (an index of total cancer incidence risk). The dose and risk estimates before and after normalization by volume-weighted CT dose index (CTDI(vol)) or dose-length product (DLP) were correlated with patient size and age. The effect of each scanning parameter was studied. Organ dose normalized by tube current-time product or CTDI(vol) decreased exponentially with increasing average chest diameter. Effective dose normalized by tube current-time product or DLP decreased exponentially with increasing chest diameter. Chest diameter was a stronger predictor of dose than weight and total scan length. Risk index normalized by tube current-time product or DLP decreased exponentially with both chest diameter and age. When normalized by DLP, effective dose and risk index were independent of collimation, pitch, and tube potential (<10% variation). The correlations of dose and risk with patient size and age can be used to estimate patient-specific dose and risk. They can further guide the design and optimization of pediatric chest CT protocols. http://radiology.rsna.org/lookup/suppl/doi:10.1148/radiol.11101900/-/DC1. RSNA, 2011
Danuser, Brigitta; Simcox, Amira; Studer, Regina; Koller, Michael; Wild, Pascal
2017-01-01
Return to work with or after a chronic disease is a dynamic process influenced by a variety of interactions between personal, work, societal and medical resources or constraints. The aim of this study was to identify predictors for employment 12 months after transplantation in kidney patients, applying a bio-psycho-social model. All kidney patients followed in the Swiss Transplant Cohort between May 2008 and December 2012, aged 18 to 65 were assessed before, 6 and 12 months after transplantation. Of the 689 included patients, 56.2% worked 12 months post- transplantation compared to 58.9% pre-transplantation. Age, education, self-perceived health (6 months post- transplantation), pre- transplantation employment and receiving an organ from a living donor are significant predictors of employment post- transplantation. Moreover, while self-perceived health increased post- transplantation, depression score decreased only among those employed 12 months post- transplantation. Pre- transplantation employment status was the main predictor for post- transplantation employment (OR = 18.6) and was associated with sex, age, education, depression and duration of dialysis. An organ from a living donor (42.1%) was more frequent in younger patients, with higher education, no diabetes and shorter waiting time to surgery. Transplantation did not increase employment in end-stage kidney disease patients but helped maintaining employment. Pre-transplantation employment has been confirmed to be the most important predictor of post-transplantation employment. Furthermore, socio-demographic and individual factors predicted directly and indirectly the post-transplantation employment status. With living donor, an additional predictor linked to social factors and the medical procedure has been identified.
Laurent, Vincent; Wong, Felix L; Balleine, Bernard W
2017-11-08
Animals can readily learn that stimuli predict the absence of specific appetitive outcomes; however, the neural substrates underlying such outcome-specific conditioned inhibition remain largely unexplored. Here, using female and male rats as subjects, we examined the involvement of the lateral habenula (LHb) and of its inputs onto the rostromedial tegmental nucleus (RMTg) in inhibitory learning. In these experiments, we used backward conditioning and contingency reversal to establish outcome-specific conditioned inhibitors for two distinct appetitive outcomes. Then, using the Pavlovian-instrumental transfer paradigm, we assessed the effects of manipulations of the LHb and the LHb-RMTg pathway on that inhibitory encoding. In control animals, we found that an outcome-specific conditioned inhibitor biased choice away from actions delivering that outcome and toward actions earning other outcomes. Importantly, this bias was abolished by both electrolytic lesions of the LHb and selective ablation of LHb neurons using Cre-dependent Caspase3 expression in Cre-expressing neurons projecting to the RMTg. This deficit was specific to conditioned inhibition; an excitatory predictor of a specific outcome-biased choice toward actions delivering the same outcome to a similar degree whether the LHb or the LHb-RMTg network was intact or not. LHb lesions also disrupted the ability of animals to inhibit previously encoded stimulus-outcome contingencies after their reversal, pointing to a critical role of the LHb and of its inputs onto the RMTg in outcome-specific conditioned inhibition in appetitive settings. These findings are consistent with the developing view that the LHb promotes a negative reward prediction error in Pavlovian conditioning. SIGNIFICANCE STATEMENT Stimuli that positively or negatively predict rewarding outcomes influence choice between actions that deliver those outcomes. Previous studies have found that a positive predictor of a specific outcome biases choice toward actions delivering that outcome. In contrast, a negative predictor of an outcome biases choice away from actions earning that outcome and toward other actions. Here we reveal that the lateral habenula is critical for negative predictors, but not positive predictors, to affect choice. Furthermore, these effects were found to require activation of lateral habenula inputs to the rostromedial tegmental nucleus. These results are consistent with the view that the lateral habenula establishes inhibitory relationships between stimuli and food outcomes and computes a negative prediction error in Pavlovian conditioning. Copyright © 2017 the authors 0270-6474/17/3710932-11$15.00/0.
Predictors of prison-based treatment outcomes: a comparison of men and women participants.
Messina, Nena; Burdon, William; Hagopian, Garo; Prendergast, Michael
2006-01-01
The purpose of this study was to examine differences between men and women entering prison-based therapeutic community (TC) treatment and to explore the relationship of those differences to posttreatment outcomes (i.e., aftercare participation and reincarceration rates). Extensive treatment-intake interview data for 4,386 women and 4,164 men from 16 prison-based TCs in California were compared using chi-square analyses and t-tests. Logistic regression analyses were then conducted separately for men and women to identify gender-specific factors associated with post-treatment outcomes. Prison intake data and treatment participation data come from a 5-year process and outcome evaluation of the California Department of Corrections' (CDC) Prison Treatment Expansion Initiative. The return-to-custody data came from the CDC's Offender Based Information System. Bivariate results showed that women were at a substantial disadvantage compared with their male counterparts with regard to histories of employment, substance abuse, psychological functioning, and sexual and physical abuse prior to incarceration. In contrast, men had more serious criminal justice involvement than women prior to incarceration. After controlling for these and other factors related to outcomes, regression findings showed that there were both similarities and differences with regard to gender-specific predictors of posttreatment outcomes. Time in treatment and motivation for treatment were similar predictors of aftercare participation for men and women. Psychological impairment was the strongest predictor of recidivism for both men and women. Substantial differences in background characteristics and the limited number of predictors related to posttreatment outcomes for women suggests the plausibility of gender-specific paths in the recovery process.
Shikanov, Sergey; Song, Jie; Royce, Cassandra; Al-Ahmadie, Hikmat; Zorn, Kevin; Steinberg, Gary; Zagaja, Gregory; Shalhav, Arieh; Eggener, Scott
2009-07-01
Length and location of positive surgical margins are independent predictors of biochemical recurrence after open radical prostatectomy. We assessed their impact on biochemical recurrence in a large robotic prostatectomy series. Data were collected prospectively from 1,398 men undergoing robotic radical prostatectomy for clinically localized prostate cancer from 2003 to 2008 at a single institution. The associations of preoperative prostate specific antigen, pathological Gleason score, pathological stage and positive surgical margin parameters (location, length and focality) with biochemical recurrence rate were evaluated. Margin status and length were measured by a single uropathologist. Biochemical recurrence was defined as serum prostate specific antigen greater than 0.1 ng/ml on 2 consecutive tests. Cox regression models were constructed to evaluate predictors of biochemical recurrence. Of 1,398 consecutive patients who underwent robotic prostatectomy positive margins were present in 243 (17%) (11% of pathological T2 and 41% of T3). Preoperative prostate specific antigen, pathological stage, Gleason score, margin status, and margin length as a continuous and categorical variable (less than 1, 1 to 3, more than 3 mm) were independent predictors of biochemical recurrence. Patients with negative margins and those with a positive margin less than 1 mm had similar rates of biochemical recurrence (log rank test p = 0.18). Surgical margin location was not independently associated with biochemical recurrence. Margin status and length are independent predictors of biochemical recurrence following robotic radical prostatectomy. Although longer followup and validation studies are necessary for confirmation, patients with a positive margin less than 1 mm appear to have similar recurrence rates as those with negative margins.
Walsh, Sophie D; Djalovski, Amir; Boniel-Nissim, Meyran; Harel-Fisch, Yossi
2014-05-01
Ecological perspectives stress the importance of environmental predictors of adolescent alcohol use, yet little research has examined such predictors among immigrant adolescents. This study examines parental, peer and school predictors of alcohol drinking (casual drinking, binge drinking and drunkenness) among Israeli-born adolescents and first and second generation adolescent immigrants from the Former Soviet Union (FSU) and Ethiopia in Israel. The study uses data from the 2010 to 2011 Israeli Health Behaviors of School age Children (HBSC) survey and includes a representative sample of 3059 adolescents, aged 11-17. Differences between the groups for drinking were examined using Pearson's chi square. Logistic regression models were used to examine group specific predictors of drinking. First generation FSU and both Ethiopian groups reported higher levels of binge drinking and drunkenness than Israeli-born adolescents. All immigrant groups reported lower levels of parental monitoring than native born adolescents; both first generation groups reported difficulties talking to parents; and first generation FSU and second generation Ethiopian adolescents reported greater time with friends. Group specific logistic regression models suggest that while parent, peer and school variables all predicted alcohol use among Israeli adolescents, only time spent with peers consistently predicted immigrant alcohol use. Findings highlight specific vulnerability of first generation FSU and second generation Ethiopian adolescents to high levels of drinking and the salience of time spent with peers as predicting immigrant adolescent drinking patterns. They suggest that drinking patterns must be understood in relation to country of origin and immigration experience of a particular group. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.
Darroch, C J; Barnes, R M; Dawson, J
1999-01-01
AIM: To measure circulating antibodies to yeast organisms that could be used to characterise the yeast specific immune response in gastrointestinal disease. METHODS: A quantitative, isotype specific enzyme linked immunosorbent assay was developed to measure circulating antibodies to an aqueous extract of Saccharomyces cerevisiae (sacc). Comparisons of specific antibody concentrations were made between 224 healthy controls and 51 patients with Crohn's disease, 41 with ulcerative colitis, 24 with indeterminate colitis, 23 with chronic liver disease, 17 with coeliac disease, and seven with irritable bowel syndrome. Additional comparisons were made between Crohn's disease and ulcerative colitis patients. Within the Crohn's disease group, the dependence of antibody levels on several clinical variables was assessed. RESULTS: IgG and IgA anti-sacc antibodies were significantly raised in Crohn's disease. IgG antibodies were also raised in patients with chronic liver disease. Among patients with Crohn's disease, IgG antibody concentrations were higher in those with serum alpha 1 acid glycoprotein (AAG) above the normal range and there was a strong trend towards increased IgG anti-sacc in the presence of small bowel disease, whereas IgA anti-sacc correlated positively with disease duration. No differences were detected according to whether patients were taking steroids. Neither the Crohn's disease nor the chronic liver disease group differed from normal subjects in respect of IgG antibodies to bovine milk casein. On linear regression analysis of complete data from 39 Crohn's disease patients, AAG was found to be a significant predictor of both IgG and IgA antibodies, and male sex and disease duration to be additional predictors of IgA antibodies. There was a significant difference in IgG antibodies between Crohn's disease and ulcerative colitis. CONCLUSIONS: Raised antibodies to yeast, although not completely specific for Crohn's disease, may have a future role in diagnosis. The assays described here could be used to address this question in the context of a prospective study. PMID:10343612
DuBois, James M; Anderson, Emily E
2006-03-01
To examine attitudes toward death criteria and their relation to attitudes and behaviors regarding organ donation. This article reviews empirical studies on the attitudes of healthcare personnel and the general public regarding death criteria and organ donation. The review was restricted to studies that had as a primary focus attitudes toward 1 or more of the following 3 specific criteria for determining death: (1) brain death, the irreversible loss of all functions of the entire brain; (2) higher brain death, the loss of cerebral cortex function alone; and (3) the circulatory-respiratory criteria commonly used in donation after cardiac death. Studies consistently show that the general public and some medical personnel are inadequately familiar with the legal and medical status of brain death; attitudes toward the dead donor rule are strong predictors of willingness to donate organs using controversial criteria; concerns about donation after cardiac death surround the withdrawal of life support more than the actual death criteria used; and concerns about death criteria correlate with less favorable attitudes toward organ donation. Both general and ethical education may serve to guide policy and facilitate family member requests and informed consent dialogues. Furthermore, helping families to understand and accept not only medical and legal criteria for determining death, but also ethical criteria for withdrawing life support may help them be more comfortable with their decisions.
Chullen, C Logan; Dunford, Benjamin B; Angermeier, Ingo; Boss, R Wayne; Boss, Alan D
2010-01-01
In an era when healthcare organizations are beset by intense competition, lawsuits, and increased administrative costs, it is essential that employees perform their jobs efficiently and without distraction. Deviant workplace behavior among healthcare employees is especially threatening to organizational effectiveness, and healthcare managers must understand the antecedents of such behavior to minimize its prevalence. Deviant employee behavior has been categorized into two major types, individual and organizational, according to the intended target of the behavior. Behavior directed at the individual includes such acts as harassment and aggression, whereas behavior directed at the organization includes such acts as theft, sabotage, and voluntary absenteeism, to name a few (Robinson and Bennett 1995). Drawing on theory from organizational behavior, we examined two important features of supportive leadership, leader-member exchange (LMX) and perceived organizational support (POS), and two important features of job design, intrinsic motivation and depersonalization, as predictors of subsequent deviant behavior in a sample of over 1,900 employees within a large US healthcare organization. Employees who reported weaker perceptions of LMX and greater perceptions of depersonalization were more likely to engage in deviant behavior directed at the individual, whereas employees who reported weaker perceptions of POS and intrinsic motivation were more likely to engage in deviant behavior directed at the organization. These findings give rise to specific prescriptions for healthcare managers to prevent or minimize the frequency of deviant behavior in the workplace.
Malak, Malakeh Z
2017-06-01
Assessment and evaluation of the health-related quality of life of industrial workers is an important research focus. This descriptive correlational study identifies the predictors of health-related quality of life using a random sampling of industrial workers (n = 640) from construction factories in Amman Governorate in Jordan using demographic characteristics, a health and work-related factors questionnaire, and the World Health Organization Quality of Life-Brief scale. Results showed that industrial workers had good physical health but a poor working environment. There was a statistically significant relationship between educational level, conflict between work and individual life and work and social life, working hours, and workload, and all domains of health-related quality of life. Overall, educational level was the main predictor for all domains of health-related quality of life. Such results confirm the need to develop appropriate interventions and strategies to improve workers' health-related quality of life. Furthermore, developing an integrated approach among policymakers, employers, and work organizations to enhance industrial workers' occupational health programs could be effective. © 2017 John Wiley & Sons Australia, Ltd.
Cortese, Claudio G; Colombo, Lara; Ghislieri, Chiara
2010-01-01
The aim of the present study was to develop a research model explaining the causal relationship between certain antecedents (job and emotional charge, supportive management and colleagues), work-family conflict (WFC) and job satisfaction. Many research projects in health organizations have highlighted the link between high WFC and lower levels of job satisfaction. The study of these variables is important in understanding the processes of professional nurse retention. The survey was conducted using a questionnaire administered to 351 professional nurses working in a major North Italian hospital. The questionnaire measures six variables: WFC, job satisfaction, job demand, emotional charge, supportive management and supportive colleagues. The data confirmed the connection between WFC and job satisfaction, and showed the importance of some WFC predictors, such as supportive management, emotional charge and job demand, not only for their connections with WFC but also for their direct associations with job satisfaction. WFC, in health organizations, can contribute to a decrease of nurses' job satisfaction. Nursing management could achieve its aim of reducing WFC through the improvement of support from nurse coordinators, the specific organization of work models, ad hoc family-friendly policies and individual counselling programmes for nurses.
Snyder, Jamie A; Scherer, Heidi L; Fisher, Bonnie S
2012-01-01
Despite work organizations' attempts to reduce sexual harassment, it continues to be a salient issue for employers across all occupations. Extending social disorganization theory to the work environment, this study examines the relationship between workplace organization, social ties, and sexual harassment victimization. Survey responses to the 2002 and 2006 Quality of Working Life module from the General Social Survey by a sample of 3,530 adult men and women employees in the United States were used. Logistic regression models were estimated for men and women separately to estimate the effect of workplace characteristics on the risk of sexual harassment victimization. Employees who reported poor workplace relations between management and employees and lower coworker social ties were more likely to experience sexual harassment in their work environments. Specific workplace characteristics such as low productivity, poor time management, and inadequate administrative support were significantly related to increased sexual harassment risk. No significant gender differences were found across models suggesting that the predictors of sexual harassment are similar for men and women. This study demonstrates that workplace characteristics are related to sexual harassment risk in the workplace. Suggestions for sexual harassment prevention, including management and organizational strategies, are discussed.
Reigosa-Crespo, Vivian; González-Alemañy, Eduardo; León, Teresa; Torres, Rosario; Mosquera, Raysil; Valdés-Sosa, Mitchell
2013-01-01
The first aim of the present study was to investigate whether numerical effects (Numerical Distance Effect, Counting Effect and Subitizing Effect) are domain-specific predictors of mathematics development at the end of elementary school by exploring whether they explain additional variance of later mathematics fluency after controlling for the effects of general cognitive skills, focused on nonnumerical aspects. The second aim was to address the same issues but applied to achievement in mathematics curriculum that requires solutions to fluency in calculation. These analyses assess whether the relationship found for fluency are generalized to mathematics content beyond fluency in calculation. As a third aim, the domain specificity of the numerical effects was examined by analyzing whether they contribute to the development of reading skills, such as decoding fluency and reading comprehension, after controlling for general cognitive skills and phonological processing. Basic numerical capacities were evaluated in children of 3rd and 4th grades (n=49). Mathematics and reading achievements were assessed in these children one year later. Results showed that the size of the Subitizing Effect was a significant domain-specific predictor of fluency in calculation and also in curricular mathematics achievement, but not in reading skills, assessed at the end of elementary school. Furthermore, the size of the Counting Effect also predicted fluency in calculation, although this association only approached significance. These findings contrast with proposals that the core numerical competencies measured by enumeration will bear little relationship to mathematics achievement. We conclude that basic numerical capacities constitute domain-specific predictors and that they are not exclusively “start-up” tools for the acquisition of Mathematics; but they continue modulating this learning at the end of elementary school. PMID:24255710
Reigosa-Crespo, Vivian; González-Alemañy, Eduardo; León, Teresa; Torres, Rosario; Mosquera, Raysil; Valdés-Sosa, Mitchell
2013-01-01
The first aim of the present study was to investigate whether numerical effects (Numerical Distance Effect, Counting Effect and Subitizing Effect) are domain-specific predictors of mathematics development at the end of elementary school by exploring whether they explain additional variance of later mathematics fluency after controlling for the effects of general cognitive skills, focused on nonnumerical aspects. The second aim was to address the same issues but applied to achievement in mathematics curriculum that requires solutions to fluency in calculation. These analyses assess whether the relationship found for fluency are generalized to mathematics content beyond fluency in calculation. As a third aim, the domain specificity of the numerical effects was examined by analyzing whether they contribute to the development of reading skills, such as decoding fluency and reading comprehension, after controlling for general cognitive skills and phonological processing. Basic numerical capacities were evaluated in children of 3(rd) and 4(th) grades (n=49). Mathematics and reading achievements were assessed in these children one year later. Results showed that the size of the Subitizing Effect was a significant domain-specific predictor of fluency in calculation and also in curricular mathematics achievement, but not in reading skills, assessed at the end of elementary school. Furthermore, the size of the Counting Effect also predicted fluency in calculation, although this association only approached significance. These findings contrast with proposals that the core numerical competencies measured by enumeration will bear little relationship to mathematics achievement. We conclude that basic numerical capacities constitute domain-specific predictors and that they are not exclusively "start-up" tools for the acquisition of Mathematics; but they continue modulating this learning at the end of elementary school.
A field examination of two measures of work motivation as predictors of leaders' influence tactics.
Barbuto, John E; Fritz, Susan M; Marx, David
2002-10-01
The authors tested 2 motivation measures, the Motivation Sources Inventory (MSI; J. E. Barbuto & R. W. Scholl, 1998) and the Job Choice Decision-Making Exercise (A. M. Harrell & M. J. Stahl, 1981) as predictors of leaders' influence tactics. The authors sampled 219 leader-member dyads from a variety of organizations and communities throughout the central United States. Results strongly favored the MSI as a predictor of influence tactics. Limitations of the study include low power of relationships, sample size as limited by the research design, and education levels of participants. Future researchers should use larger and more diverse samples and test other relevant antecedents of leaders' behaviors.
Prediction of Falls in Subjects Suffering From Parkinson Disease, Multiple Sclerosis, and Stroke.
Beghi, Ettore; Gervasoni, Elisa; Pupillo, Elisabetta; Bianchi, Elisa; Montesano, Angelo; Aprile, Irene; Agostini, Michela; Rovaris, Marco; Cattaneo, Davide
2018-04-01
To compare the risk of falls and fall predictors in patients with Parkinson disease (PD), multiple sclerosis (MS), and stroke using the same study design. Multicenter prospective cohort study. Institutions for physical therapy and rehabilitation. Patients (N=299) with PD (n=94), MS (n=111), and stroke (n=94) seen for rehabilitation. Not applicable. Functional scales were applied to investigate balance, disability, daily performance, self-confidence with balance, and social integration. Patients were followed for 6 months. Telephone interviews were organized at 2, 4, and 6 months to record falls and fall-related injuries. Incidence ratios, Kaplan-Meier survival curves, and Cox proportional hazards models were used. Of the 299 patients enrolled, 259 had complete follow-up. One hundred and twenty-two patients (47.1%) fell at least once; 82 (31.7%) were recurrent fallers and 44 (17.0%) suffered injuries; and 16%, 32%, and 40% fell at 2, 4, and 6 months. Risk of falls was associated with disease type (PD, MS, and stroke in decreasing order) and confidence with balance (Activities-specific Balance Confidence [ABC] scale). Recurrent fallers were 7%, 15%, and 24% at 2, 4, and 6 months. The risk of recurrent falls was associated with disease type, high educational level, and ABC score. Injured fallers were 3%, 8%, and 12% at 2, 4, and 6 months. The only predictor of falls with injuries was disease type (PD). PD, MS, and stroke carry a high risk of falls. Other predictors include perceived balance confidence and high educational level. Copyright © 2017 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.
Ecological momentary assessment in a behavioral drinking moderation training program.
Collins, R L; Morsheimer, E T; Shiffman, S; Paty, J A; Gnys, M; Papandonatos, G D
1998-08-01
We assessed predictors of self-reported excessive drinking (> 5 drinks) in a sample of heavy drinkers. Participants were randomly assigned to moderation training or a waiting-list control condition. They were trained in ecological momentary assessment (EMA) involving self-monitoring of drinking and other variables on a small hand-held computer, the electronic diary (ED). During the 8-week study, participants were compliant in their use of the ED for both random prompts and the entry of data related to specific drinking episodes. Generalized estimating equations were used to fit models involving predictors related to past history of drinking, aspects of the training program, drinking restraint, and episode-specific mood. The models indicated robust predictors of decreased and increased drinking. Our results suggest that EMA is a useful methodology for assessing drinking and related behaviors.
TT : a program that implements predictor sort design and analysis
S. P. Verrill; D. W. Green; V. L. Herian
1997-01-01
In studies on wood strength, researchers sometimes replace experimental unit allocation via random sampling with allocation via sorts based on nondestructive measurements of strength predictors such as modulus of elasticity and specific gravity. This report documents TT, a computer program that implements recently published methods to increase the sensitivity of such...
Multiple Logistic Regression Analysis of Cigarette Use among High School Students
ERIC Educational Resources Information Center
Adwere-Boamah, Joseph
2011-01-01
A binary logistic regression analysis was performed to predict high school students' cigarette smoking behavior from selected predictors from 2009 CDC Youth Risk Behavior Surveillance Survey. The specific target student behavior of interest was frequent cigarette use. Five predictor variables included in the model were: a) race, b) frequency of…
ERIC Educational Resources Information Center
Lee, Christina S.; Hayes, Rashelle B.; McQuaid, Elizabeth L.; Borrelli, Belinda
2010-01-01
Introduction. Only one previous study on minority retention in smoking cessation treatment has been conducted (Nevid JS, Javier RA, Moulton JL III. "Factors predicting participant attrition in a community-based, culturally specific smoking cessation program for Hispanic smokers." "Health Psychol" 1996; 15: 226-29). We investigated predictors of…
ERIC Educational Resources Information Center
Danko, Christina M.; Brown, Tasha; Van Schoick, Lauren; Budd, Karen S.
2016-01-01
Background: Behavioral parent training has been demonstrated to be an effective treatment for child behavior problems; however, lack of parent engagement can limit the effectiveness of treatment. Understanding more about predictors and correlates of a specific measure of parent engagement--homework completion--in parent training can help to…
The Role of Emotion Perception in Adaptive Functioning of People with Autism Spectrum Disorders
ERIC Educational Resources Information Center
Hudepohl, Margaret B.; Robins, Diana L.; King, Tricia Z.; Henrich, Christopher C.
2015-01-01
Cognitive functioning has historically been used to predict adaptive outcomes of people with autism spectrum disorders; however, research shows that it is not a complete predictor. The current study explored whether emotion perception was a predictor of adaptive outcomes, and more specifically, hypothesized that emotion perception (Diagnostic…
Schüz, Natalie; Eid, Michael
2013-10-01
Sun protection standards among teenagers are low while sun exposure peaks in this age group. Study 1 explores predictors of adolescent protection intentions and exposure behavior. Study 2 tests the effectiveness of an intervention based on these predictors. Study 1(cross-sectional, N = 207, ages 15-18) and Study 2 (RCT, N = 253, ages 13-19) were conducted in schools. Path models were used to analyze data. Self-efficacy (β = .26, p < .001) and time perspective (β = .17, p = .014) were the strongest predictors of intentions; appearance motivation (β = .54, p < .001) and intention (β = -.18, p = .015) predicted behavior. The intervention effected changes in all predictors except self-efficacy. Changes in outcome expectancies (β = .19, p < .001) and time perspective (β = .09, p = .039) predicted changes in intention, while changes in intention (β = -.17, p = .002) and appearance motivation (β = .29, p < .001) predicted behavior changes. Target group- and behavior-specific intervention components are as important for changes in intentions and behavior as components derived from common health behavior theories.
Fruit and Vegetable Intake: the Interplay of Planning, Social Support, and Sex.
Lange, Daniela; Corbett, Jana; Knoll, Nina; Schwarzer, Ralf; Lippke, Sonia
2018-03-23
Intention and planning are important predictors of dietary change. However, little attention has been given yet to the relationship between them as a function of other social-cognitive factors and their interplay with socio-demographics such as sex. In an observational study (1520 women, 430 men) with two measurement points in time, intention (predictor), planning (mediator), social support (first moderator), and sex (second moderator) were assessed to predict changes in diet separately for fruit and vegetable intake. All predictors had a main effect on fruit intake but no interactions emerged. For vegetable intake, the mediation-chain was qualified by a three-way interaction: for women, the lower the perceived social support, the more the translation of planning into behavior; for men, the higher the perceived social support, the more the translation of planning into behavior. Even though intention and planning are predictors of dietary change, they operate differently under specific conditions (level of social support), for specific subgroups (men vs. women), and for different target behaviors (fruit vs. vegetable intake). These results suggest to further examine the mechanisms by which intentions are translated into behavior via planning.
Gavrilov, Leonid A; Gavrilova, Natalia S
Knowledge of strong predictors of mortality and longevity is very important for actuarial science and practice. Earlier studies found that parental characteristics as well as early-life conditions and midlife environment play a significant role in survival to advanced ages. However, little is known about the simultaneous effects of these three factors on longevity. This ongoing study attempts to fill this gap by comparing centenarians born in the United States in 1890-1891 with peers born in the same years who died at age 65. The records for centenarians and controls were taken from computerized family histories, which were then linked to 1900 and 1930 U.S. censuses. As a result of this linkage procedure, 765 records of confirmed centenarians and 783 records of controls were obtained. Analysis with multivariate logistic regression found the existence of both general and gender-specific predictors of human longevity. General predictors common for men and women are paternal and maternal longevity. Gender-specific predictors of male longevity are occupation as a farmer at age 40, Northeastern region of birth in the United States, and birth in the second half of year. A gender-specific predictor of female longevity is the availability of radio in the household according to the 1930 U.S. census. Given the importance of familial longevity as an independent predictor of survival to advanced ages, we conducted a comparative study of biological and nonbiological relatives of centenarians using a larger sample of 1,945 validated U.S. centenarians born in 1880-1895. We found that male gender of centenarian has a significant positive effect on survival of adult male relatives (brothers and fathers) but not female blood relatives. Life span of centenarian siblings-in-law is lower compared to life span of centenarian siblings and does not depend on centenarian gender. Wives of male centenarians (who share lifestyle and living conditions) have a significantly better survival compared to wives of centenarians' brothers. This finding demonstrates an important role of shared familial environment and lifestyle in human longevity. The results of this study suggest that familial background, some early-life conditions and midlife characteristics play an important role in longevity.
Predictors of short-term outcome to exercise and manual therapy for people with hip osteoarthritis.
French, Helen P; Galvin, Rose; Cusack, Tara; McCarthy, Geraldine M
2014-01-01
Physical therapy for hip osteoarthritis (OA) has shown short-term effects but limited long-term benefit. There has been limited research, with inconsistent results, in identifying prognostic factors associated with a positive response to physical therapy. The purpose of this study was to identify potential predictors of response to physical therapy (exercise therapy [ET] with or without adjunctive manual therapy [MT]) for hip OA based on baseline patient-specific and clinical characteristics. A prognostic study was conducted. Secondary analysis of data from a multicenter randomized controlled trial (RCT) (N=131) that evaluated the effectiveness of ET and ET+MT for hip OA was undertaken. Treatment response was defined using OMERACT/OARSI responder criteria. Ten baseline measures were used as predictor variables. Regression analyses were undertaken to identify predictors of outcome. Discriminative ability (sensitivity, specificity, and likelihood ratios) of significant variables was calculated. The RCT results showed no significant difference in most outcomes between ET and ET+MT at 9 and 18 weeks posttreatment. Forty-six patients were classified as responders at 9 weeks, and 36 patients were classified as responders at 18 weeks. Four baseline variables were predictive of a positive outcome at 9 weeks: male sex, pain with activity (<6/10), Western Ontario and McMaster Universities Osteoarthritis Index physical function subscale score (<34/68), and psychological health (Hospital Anxiety and Depression Scale score <9/42). No predictor variables were identified at the 18-week follow-up. Prognostic accuracy was fair for all 4 variables (sensitivity=0.5-0.58, specificity=0.57-0.72, likelihood ratios=1.25-1.77), indicating fair discriminative ability at predicting treatment response. The short-term follow-up limits the interpretation of results, and the low number of identified responders may have resulted in possible overfitting of the predictor model. The authors were unable to identify baseline variables in patients with hip OA that indicate those most likely to respond to treatment due to low discriminative ability. Further validation studies are needed to definitively define the best predictors of response to physical therapy in people with hip OA.
Kluczynski, Melissa A.; Marzo, John M.; Rauh, Michael A.; Bernas, Geoffrey A.; Bisson, Leslie J.
2015-01-01
Background: Male patients tend to have more meniscal and chondral injuries at the time of anterior cruciate ligament (ACL) reconstruction than females. No studies have examined sex-specific predictors of meniscal and chondral lesions in ACL-injured patients. Purpose: To identify sex-specific predictors of meniscal and chondral lesions, as well as meniscal tear management, in patients undergoing ACL reconstruction. Study Design: Cohort study; Level of evidence, 3. Methods: Data were collected prospectively from 689 patients (56.2% males) undergoing ACL reconstruction between 2005 and 2014. Predictors of meniscal tears, meniscal tear management, and chondral injuries were determined using multivariate logistic regression models stratified by sex. Predictors were age, body mass index (BMI; 25-29.99 and ≥30 vs ≤24.99 kg/m2), mechanism (contact vs noncontact) and type (high-impact sports [basketball, football, soccer, and skiing] and other sports vs not sports-related) of injury, interval from injury to surgery (≤6 vs >6 weeks), and instability episodes (vs none). Odds ratios and 95% CIs were reported. Results: Males had more lateral (46% vs 27.8%; P < .0001) and medial (40.2% vs 31.5%; P = .01) meniscal tears, as well as more lateral (72.1% vs 27.9%; P < .0001) and medial (61.4% vs 38.6%; P = .01) meniscectomies than females. For males, age predicted chondral injuries and medial meniscectomy; BMI ≥30 kg/m2 predicted medial meniscal tears; high-impact and other sports predicted medial meniscal tears, medial meniscectomies, and medial meniscal repairs; injuries ≤6 weeks from surgery predicted lateral meniscal repairs; and instability episodes predicted medial meniscal tears, medial tears left in situ, medial meniscectomies, and medial meniscal repairs. For females, age predicted chondral injuries, BMI ≥30 kg/m2 predicted lateral meniscectomies and repairs, and instability episodes predicted medial meniscectomies. Conclusion: Sex differences were observed. For males, predictors included age, BMI, sports-related injuries, injuries ≤6 weeks from surgery, and instability episodes. For females, predictors included age, BMI, and instability episodes. PMID:26535384
ERIC Educational Resources Information Center
Pilcher, Heather
2016-01-01
Teachers' interactions with children represent an important source of influence in children's learning and development. Classroom organization, or the way the teacher manages the physical and behavioral aspects of the classroom environment, is one way that teachers can provide needed support to students who might otherwise struggle to be…
ERIC Educational Resources Information Center
Blau, Gary
2000-01-01
A 4-year study of 672 medical technologists identified interrole work transitions as intent to leave the organization, intent to leave the profession, and intended retirement age. Job satisfaction had a significant impact on intent to leave. Organizational context influenced intent to leave the organization and professional commitment influenced…
ERIC Educational Resources Information Center
Pugh, Kenneth R.; Landi, Nicole; Preston, Jonathan L.; Mencl, W. Einar; Austin, Alison C.; Sibley, Daragh; Fulbright, Robert K.; Seidenberg, Mark S.; Grigorenko, Elena L.; Constable, R. Todd; Molfese, Peter; Frost, Stephen J.
2013-01-01
We employed brain-behavior analyses to explore the relationship between performance on tasks measuring phonological awareness, pseudoword decoding, and rapid auditory processing (all predictors of reading (dis)ability) and brain organization for print and speech in beginning readers. For print-related activation, we observed a shared set of…
Distal and proximal predictors of snacking at work: A daily-survey study.
Sonnentag, Sabine; Pundt, Alexander; Venz, Laura
2017-02-01
This study aimed at examining predictors of healthy and unhealthy snacking at work. As proximal predictors we looked at food-choice motives (health motive, affect-regulation motive); as distal predictors we included organizational eating climate, emotional eating, and self-control demands at work. We collected daily survey data from 247 employees, over a period of 2 workweeks. Multilevel structural equation modeling showed that organizational eating climate predicted health as food-choice motive, whereas emotional eating and self-control demands predicted affect regulation as food-choice motive. The health motive, in turn, predicted consuming more fruits and more cereal bars and less sweet snacks; the affect-regulation motive predicted consuming more sweet snacks. Findings highlight the importance of a health-promoting eating climate within the organization and point to the potential harm of high self-control demands at work. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
Zou, Jian-Fang; Guo, Qiming; Shao, Hua; Li, Bin; Du, Yuxiu; Liu, Maofeng; Liu, Fengling; Dai, Lixin; Lin, Hung-Jung; Su, Shih-Bin; Guo, How-Ran; Huang, Chien-Cheng
2015-01-01
Predicting the neurological sequelae of carbon monoxide poisoning (COP) has not been well studied. We investigated the independent predictors of neurological sequelae in patients with COP and combined these predictors to predict the prognosis. This study was conducted at four hospitals in Shandong Province, China. Data were retrospectively collected from 258 patients with COP between November 1990 and October 2011. Thirty-day neurological sequelae were the primary endpoints. A lack of pupil reflex and a loss of consciousness appear to be independent predictors for neurological sequelae in patients with COP. The presence of either one had a sensitivity of 77.0% (95% confidence interval [CI]: 69.3-83.2), a specificity of 47.1% (95% CI: 38.3-56.0), positive predictive value (PPV) of 62.9% (95% CI: 55.2-70.1), and a negative predictive value (NPV) of 63.6% (95% CI: 52.6-73.4). With both predictors present, the sensitivity was 11.5% (95% CI: 6.9 to 18.3), the specificity was 99.2 (95% CI: 94.7-100.0), the PPV was 94.1% (95% CI: 69.2-99.7), and the NPV was 49.0% (95% CI: 42.5-55.5). The risk for neurological sequelae apparently increased with the number of independent predictors. In patients with both predictors, the risk for neurological sequelae was 94.1%. Almost all (99.2%) patients with neither predictor had no neurological sequelae. This finding may help physicians make decisions about and dispositions for patients with COP. For patients with a higher risk, earlier treatment and more appropriate utilization of health care services, including hyperbaric oxygen, should be considered.
How accurate is our clinical prediction of "minimal prostate cancer"?
Leibovici, Dan; Shikanov, Sergey; Gofrit, Ofer N; Zagaja, Gregory P; Shilo, Yaniv; Shalhav, Arieh L
2013-07-01
Recommendations for active surveillance versus immediate treatment for low risk prostate cancer are based on biopsy and clinical data, assuming that a low volume of well-differentiated carcinoma will be associated with a low progression risk. However, the accuracy of clinical prediction of minimal prostate cancer (MPC) is unclear. To define preoperative predictors for MPC in prostatectomy specimens and to examine the accuracy of such prediction. Data collected on 1526 consecutive radical prostatectomy patients operated in a single center between 2003 and 2008 included: age, body mass index, preoperative prostate-specific antigen level, biopsy Gleason score, clinical stage, percentage of positive biopsy cores, and maximal core length (MCL) involvement. MPC was defined as < 5% of prostate volume involvement with organ-confined Gleason score < or = 6. Univariate and multivariate logistic regression analyses were used to define independent predictors of minimal disease. Classification and Regression Tree (CART) analysis was used to define cutoff values for the predictors and measure the accuracy of prediction. MPC was found in 241 patients (15.8%). Clinical stage, biopsy Gleason's score, percent of positive biopsy cores, and maximal involved core length were associated with minimal disease (OR 0.42, 0.1, 0.92, and 0.9, respectively). Independent predictors of MPC included: biopsy Gleason score, percent of positive cores and MCL (OR 0.21, 095 and 0.95, respectively). CART showed that when the MCL exceeded 11.5%, the likelihood of MPC was 3.8%. Conversely, when applying the most favorable preoperative conditions (Gleason < or = 6, < 20% positive cores, MCL < or = 11.5%) the chance of minimal disease was 41%. Biopsy Gleason score, the percent of positive cores and MCL are independently associated with MPC. While preoperative prediction of significant prostate cancer was accurate, clinical prediction of MPC was incorrect 59% of the time. Caution is necessary when implementing clinical data as selection criteria for active surveillance.
Magheli, Ahmed; Hinz, Stefan; Hege, Claudia; Stephan, Carsten; Jung, Klaus; Miller, Kurt; Lein, Michael
2010-01-01
We investigated the value of pretreatment prostate specific antigen density to predict Gleason score upgrading in light of significant changes in grading routine in the last 2 decades. Of 1,061 consecutive men who underwent radical prostatectomy between 1999 and 2004, 843 were eligible for study. Prostate specific antigen density was calculated and a cutoff for highest accuracy to predict Gleason upgrading was determined using ROC curve analysis. The predictive accuracy of prostate specific antigen and prostate specific antigen density to predict Gleason upgrading was evaluated using ROC curve analysis based on predicted probabilities from logistic regression models. Prostate specific antigen and prostate specific antigen density predicted Gleason upgrading on univariate analysis (as continuous variables OR 1.07 and 7.21, each p <0.001) and on multivariate analysis (as continuous variables with prostate specific antigen density adjusted for prostate specific antigen OR 1.07, p <0.001 and OR 4.89, p = 0.037, respectively). When prostate specific antigen density was added to the model including prostate specific antigen and other Gleason upgrading predictors, prostate specific antigen lost its predictive value (OR 1.02, p = 0.423), while prostate specific antigen density remained an independent predictor (OR 4.89, p = 0.037). Prostate specific antigen density was more accurate than prostate specific antigen to predict Gleason upgrading (AUC 0.61 vs 0.57, p = 0.030). Prostate specific antigen density is a significant independent predictor of Gleason upgrading even when accounting for prostate specific antigen. This could be especially important in patients with low risk prostate cancer who seek less invasive therapy such as active surveillance since potentially life threatening disease may be underestimated. Further studies are warranted to help evaluate the role of prostate specific antigen density in Gleason upgrading and its significance for biochemical outcome.
Monchamp, Marie-Eve; Pick, Frances R.; Beisner, Beatrix E.; Maranger, Roxane
2014-01-01
The eutrophication of freshwaters is a global health concern as lakes with excess nutrients are often subject to toxic cyanobacterial blooms. Although phosphorus is considered the main element regulating cyanobacterial biomass, nitrogen (N) concentration and more specifically the availability of different N forms may influence the overall toxicity of blooms. In this study of three eutrophic lakes prone to cyanobacterial blooms, we examined the effects of nitrogen species and concentrations and other environmental factors in influencing cyanobacterial community structure, microcystin (MC) concentrations and MC congener composition. The identification of specific MC congeners was of particular interest as they vary widely in toxicity. Different nitrogen forms appeared to influence cyanobacterial community structure leading to corresponding effects on MC concentrations and composition. Total MC concentrations across the lakes were largely explained by a combination of abiotic factors: dissolved organic nitrogen, water temperature and ammonium, but Microcystis spp. biomass was overall the best predictor of MC concentrations. Environmental factors did not appear to affect MC congener composition directly but there were significant associations between specific MC congeners and particular species. Based on redundancy analyses (RDA), the relative biomass of Microcystis aeruginosa was associated with MC-RR, M. wesenbergii with MC-LA and Aphanizomenon flos-aquae with MC-YR. The latter two species are not generally considered capable of MC production. Total nitrogen, water temperature, ammonium and dissolved organic nitrogen influenced the cyanobacterial community structure, which in turn resulted in differences in the dominant MC congener and the overall toxicity. PMID:24427318
Linguraru, Marius George; Hori, Masatoshi; Summers, Ronald M; Tomiyama, Noriyuki
2015-01-01
This paper addresses the automated segmentation of multiple organs in upper abdominal computed tomography (CT) data. The aim of our study is to develop methods to effectively construct the conditional priors and use their prediction power for more accurate segmentation as well as easy adaptation to various imaging conditions in CT images, as observed in clinical practice. We propose a general framework of multi-organ segmentation which effectively incorporates interrelations among multiple organs and easily adapts to various imaging conditions without the need for supervised intensity information. The features of the framework are as follows: (1) A method for modeling conditional shape and location (shape–location) priors, which we call prediction-based priors, is developed to derive accurate priors specific to each subject, which enables the estimation of intensity priors without the need for supervised intensity information. (2) Organ correlation graph is introduced, which defines how the conditional priors are constructed and segmentation processes of multiple organs are executed. In our framework, predictor organs, whose segmentation is sufficiently accurate by using conventional single-organ segmentation methods, are pre-segmented, and the remaining organs are hierarchically segmented using conditional shape–location priors. The proposed framework was evaluated through the segmentation of eight abdominal organs (liver, spleen, left and right kidneys, pancreas, gallbladder, aorta, and inferior vena cava) from 134 CT data from 86 patients obtained under six imaging conditions at two hospitals. The experimental results show the effectiveness of the proposed prediction-based priors and the applicability to various imaging conditions without the need for supervised intensity information. Average Dice coefficients for the liver, spleen, and kidneys were more than 92%, and were around 73% and 67% for the pancreas and gallbladder, respectively. PMID:26277022
Okada, Toshiyuki; Linguraru, Marius George; Hori, Masatoshi; Summers, Ronald M; Tomiyama, Noriyuki; Sato, Yoshinobu
2015-12-01
This paper addresses the automated segmentation of multiple organs in upper abdominal computed tomography (CT) data. The aim of our study is to develop methods to effectively construct the conditional priors and use their prediction power for more accurate segmentation as well as easy adaptation to various imaging conditions in CT images, as observed in clinical practice. We propose a general framework of multi-organ segmentation which effectively incorporates interrelations among multiple organs and easily adapts to various imaging conditions without the need for supervised intensity information. The features of the framework are as follows: (1) A method for modeling conditional shape and location (shape-location) priors, which we call prediction-based priors, is developed to derive accurate priors specific to each subject, which enables the estimation of intensity priors without the need for supervised intensity information. (2) Organ correlation graph is introduced, which defines how the conditional priors are constructed and segmentation processes of multiple organs are executed. In our framework, predictor organs, whose segmentation is sufficiently accurate by using conventional single-organ segmentation methods, are pre-segmented, and the remaining organs are hierarchically segmented using conditional shape-location priors. The proposed framework was evaluated through the segmentation of eight abdominal organs (liver, spleen, left and right kidneys, pancreas, gallbladder, aorta, and inferior vena cava) from 134 CT data from 86 patients obtained under six imaging conditions at two hospitals. The experimental results show the effectiveness of the proposed prediction-based priors and the applicability to various imaging conditions without the need for supervised intensity information. Average Dice coefficients for the liver, spleen, and kidneys were more than 92%, and were around 73% and 67% for the pancreas and gallbladder, respectively. Copyright © 2015 Elsevier B.V. All rights reserved.
Zhang, Jinxin; Gu, Lianhong; Zhang, Jingbo; ...
2017-01-11
Understanding intra-plant variations in δ 15N is essential for fully utilizing the potential of δ 15N as an integrator of the terrestrial nitrogen (N) cycle and as an indicator of the relative limitation of N and phosphorous (P) on plant growth. Studying such variations can also yield insights into N metabolism by plant as a whole or by specific organs. However, few researchers have systematically evaluated intra-plant variations in δ 15N and their relationships with organ nutrient contents. We excavated whole plant architectures of Nitraria tangutorum Bobrov, a C 3 species of vital regional ecological importance, in two deserts inmore » northwestern China. We systematically and simultaneously measured N isotope ratios and N and P contents of different parts of the excavated plants. We found that intra-plant variations in δ 15N of N. tangutorum were positively correlated with corresponding organ N and P contents. However, it was the N × P interaction, not N and P individually or their linear combination, that was the strongest predictor of intra-plant δ 15N. Additionally, we showed that root δ 15N increased with depth into soil, a pattern similar to profiles of soil δ 15N reported by previous studies in different ecosystems. We hypothesized that the strong positive intra-plant δ 15N–N and P relationships are caused by three processes acting in conjunction: (1) N and P content-driven fractionating exchanges of ammonia between leaves and the atmosphere (volatilization) during photorespiration, (2) resorption and remobilization of N and P from senescing leaves, and (3) mixture of the re-translocated foliar N and P with existing pools in stems and roots. To test our hypothesis, future studies should investigate plant N volatilization and associated isotope fractionation and intra-plant variations in δ 15N in different species across ecosystems and climates.« less
DOE Office of Scientific and Technical Information (OSTI.GOV)
Zhang, Jinxin; Gu, Lianhong; Zhang, Jingbo
Understanding intra-plant variations in δ 15N is essential for fully utilizing the potential of δ 15N as an integrator of the terrestrial nitrogen (N) cycle and as an indicator of the relative limitation of N and phosphorous (P) on plant growth. Studying such variations can also yield insights into N metabolism by plant as a whole or by specific organs. However, few researchers have systematically evaluated intra-plant variations in δ 15N and their relationships with organ nutrient contents. We excavated whole plant architectures of Nitraria tangutorum Bobrov, a C 3 species of vital regional ecological importance, in two deserts inmore » northwestern China. We systematically and simultaneously measured N isotope ratios and N and P contents of different parts of the excavated plants. We found that intra-plant variations in δ 15N of N. tangutorum were positively correlated with corresponding organ N and P contents. However, it was the N × P interaction, not N and P individually or their linear combination, that was the strongest predictor of intra-plant δ 15N. Additionally, we showed that root δ 15N increased with depth into soil, a pattern similar to profiles of soil δ 15N reported by previous studies in different ecosystems. We hypothesized that the strong positive intra-plant δ 15N–N and P relationships are caused by three processes acting in conjunction: (1) N and P content-driven fractionating exchanges of ammonia between leaves and the atmosphere (volatilization) during photorespiration, (2) resorption and remobilization of N and P from senescing leaves, and (3) mixture of the re-translocated foliar N and P with existing pools in stems and roots. To test our hypothesis, future studies should investigate plant N volatilization and associated isotope fractionation and intra-plant variations in δ 15N in different species across ecosystems and climates.« less
Soroko, Emilia
2015-01-01
The aim of this study was to test the usability of selected narrativity indices identified from autobiographical accounts of important relationships in an assessment of neurotic (NPO) and borderline personality organization (BPO). Narrativity indices, both particular and generalized, were used to predict personality organization levels. Indices were derived from two separate layers of analysis: 1) lexical indices were counted with computer assistance; 2) evocative/reception indices dealing with coherence of the story were assessed using the competent judges method. It was found that the lexical narrativity index-the active "I"-was a good predictor of both BPO and NPO, while the human factor was a good predictor of BPO when low. Moreover, a generalized index was used to describe how stories are saturated with the narrativity indices of intentionality, concreteness, and active "I", but simultaneously deprived of human factor, and was found to be the best predictor of BPO. Furthermore, where the coherence of the story and of its subdimension (integration) rise, the probability of BPO diagnosis decreases. This research provides support for the thesis that surface narrativity indices may predict deeper personality structure. Its results are justified in the light of Kernberg's theory, and have the potential to become a useful tool in clinical practice as a supplementary source of information in diagnostic and psychotherapeutic processes.
Gender Differences in Cognitive and Noncognitive Factors Related to Achievement in Organic Chemistry
NASA Astrophysics Data System (ADS)
Turner, Ronna C.; Lindsay, Harriet A.
2003-05-01
For many college students in the sciences, organic chemistry poses a difficult challenge. Indeed, success in organic chemistry has proven pivotal in the careers of a vast number of students in a variety of science disciplines. A better understanding of the factors that contribute to achievement in this course should contribute to efforts to increase the number of students in the science disciplines. Further, an awareness of gender differences in factors associated with achievement should aid efforts to bolster the participation of women in chemistry and related disciplines. Using a correlation research design, the individual relationships between organic chemistry achievement and each of several cognitive variables and noncognitive variables were assessed. In addition, the relationships between organic chemistry achievement and combinations of these independent variables were explored. Finally, gender- and instructor-related differences in the relationships between organic chemistry achievement and the independent variables were investigated. Cognitive variables included the second-semester general chemistry grade, the ACT English, math, reading, and science-reasoning scores, and scores from a spatial visualization test. Noncognitive variables included anxiety, confidence, effectance motivation, and usefulness. The second-semester general chemistry grade was found to be the best indicator of performance in organic chemistry, while the effectiveness of other predictors varied between instructors. In addition, gender differences were found in the explanations of organic chemistry achievement variance provided by this study. In general, males exhibited stronger correlations between predictor variables and organic chemistry achievement than females.
NASA Astrophysics Data System (ADS)
Marin-Spiotta, E.
2014-12-01
Most ecological models of decomposition rely on plant litter chemistry. However, growing evidence suggests that the chemical composition of organic matter (OM) is not a good predictor of its eventual fate in terrestrial or aquatic environments. New data on variable decomposition rates of select organic compounds challenge concepts of chemical recalcitrance, i.e. the inherent ability of certain molecular structures to resist biodegradation. The role of environmental or "ecosystem" properties on influencing decomposition dates back to some of the earliest research on soil OM. Despite early recognition that the physical and aqueous matrices are critical in determining the fate of organic compounds, the prevailing paradigm hinges on intrinsic chemical properties as principal predictors of decay rate. Here I build upon recent reviews and discuss new findings that contribute to three major transformations in our understanding of OM persistence: (1) a shift away from an emphasis on chemical recalcitrance as a primary predictor of turnover, (2) new interpretations of radiocarbon ages which challenge predictions of reactivity, and (3) the recognition that most detrital OM accumulating in soils and in water has been microbially processed. Predictions of OM persistence due to aromaticity are challenged by high variability in lignin and black C turnover observed in terrestrial and aquatic environments. Contradictions in the behavior of lignin are, in part, influenced by inconsistent methodologies among research communities. Even black C, long considered to be one of the most recalcitrant components of OM, is susceptible to biodegradation, challenging predictions of the stability of aromatic structures. At the same time, revised interpretations of radiocarbon data suggest that organic compounds can acquire long mean residence times by various mechanisms independent of their molecular structure. Understanding interactions between environmental conditions and biological reactivity can improve predictions of how disturbance events can further stabilize or destabilize organic C pools, with implications for terrestrial C storage, aquatic C cycling, and climate change.
Liss-Levinson, Rivka; Bharthapudi, Kiran; Leider, Jonathon P; Sellers, Katie
2015-01-01
State health agencies play a critical role in protecting and promoting the health and well-being of the people they serve. To be effective, they must maintain a highly skilled, diverse workforce of sufficient size and with proper training. The goal of this study was to examine demographics, job and workplace environment characteristics, job satisfaction, and reasons for initially joining the public health workforce as predictors of an employee's intentions to leave an organization within the next year. This study used a cross-sectional design. Respondents were selected on the basis of a stratified sampling approach, with 5 geographic (paired Health and Human Services [HHS] regions) as the primary strata. Balanced repeated replication was used as a resampling method for variance estimation. A logistic regression model was used to examine the correlates of intentions to leave one's organization within the next year. The independent variables included several measures of satisfaction, perceptions about the workplace environment, initial reasons for joining public health, gender, age, education, salary, supervisory status, program area, and paired HHS region. The sample for this study consisted of 10,246 permanently employed state health agency central office employees who responded to the Public Health Workforce Interests and Needs Survey (PH WINS). Considering leaving one's organization within the next year. Being a person of color, living in the West (HHS regions 9 and 10), and shorter tenure in one's current position were all associated with higher odds of intentions to leave an organization within the next year. Conversely, greater employee engagement, organizational support, job satisfaction, organization satisfaction, and pay satisfaction were all significant predictors of lower intentions to leave one's organization within the next year. Results from this study suggest several variables related to demographics, job characteristics, workplace environment, and job satisfaction that are predictive of intentions to leave. Future researchers and state health agencies should explore how these findings can be used to help with retention of employees in the state health agency workforce.
van Duinkerken, Eelco; Ijzerman, Richard G; Klein, Martin; Moll, Annette C; Snoek, Frank J; Scheltens, Philip; Pouwels, Petra J W; Barkhof, Frederik; Diamant, Michaela; Tijms, Betty M
2016-03-01
Type 1 diabetes mellitus (T1DM) patients, especially with concomitant microvascular disease, such as proliferative retinopathy, have an increased risk of cognitive deficits. Local cortical gray matter volume reductions only partially explain these cognitive dysfunctions, possibly because volume reductions do not take into account the complex connectivity structure of the brain. This study aimed to identify gray matter network alterations in relation to cognition in T1DM. We investigated if subject-specific structural gray matter network properties, constructed from T1-weighted MRI scans, were different between T1DM patients with (n = 51) and without (n = 53) proliferative retinopathy versus controls (n = 49), and were associated to cognitive decrements and fractional anisotropy, as measured by voxel-based TBSS. Global normalized and local (45 bilateral anatomical regions) clustering coefficient and path length were assessed. These network properties measure how the organization of connections in a network differs from that of randomly connected networks. Global gray matter network topology was more randomly organized in both T1DM patient groups versus controls, with the largest effects seen in patients with proliferative retinopathy. Lower local path length values were widely distributed throughout the brain. Lower local clustering was observed in the middle frontal, postcentral, and occipital areas. Complex network topology explained up to 20% of the variance of cognitive decrements, beyond other predictors. Exploratory analyses showed that lower fractional anisotropy was associated with a more random gray matter network organization. T1DM and proliferative retinopathy affect cortical network organization that may consequently contribute to clinically relevant changes in cognitive functioning in these patients. © 2015 Wiley Periodicals, Inc.
Ku, Nam Su; Kim, Hye-Won; Oh, Hyung Jung; Kim, Yong Chan; Kim, Min Hyung; Song, Je Eun; Oh, Dong Hyun; Ahn, Jin Young; Kim, Sun Bean; Jeong, Su Jin; Han, Sang Hoon; Kim, Chang Oh; Song, Young Goo; Kim, June Myung; Choi, Jun Yong
2012-08-01
Red blood cell distribution width (RDW) is known to be a predictor of severe morbidity and mortality in some chronic diseases such as congestive heart failure. However, to our knowledge, little is known about RDW as a predictor of mortality in patients with Gram-negative bacteremia, a major nosocomial cause of intra-abdominal infections, urinary tract infections, and primary bacteremia. Therefore, we investigated whether RDW is an independent predictor of mortality in patients with Gram-negative bacteremia. Clinical characteristics, laboratory parameters, and outcomes of 161 patients with Gram-negative bacteremia from November 2010 to March 2011 diagnosed at Severance Hospital, Yonsei University College of Medicine, Seoul, Korea, were retrospectively analyzed. The main outcome measure was 28-day all-cause mortality. The 28-day mortality rate was significantly higher in the increased RDW group compared with the normal RDW group (P < 0.001). According to multivariate Cox proportional hazard analysis, RDW levels at the onset of bacteremia (per 1% increase, P = 0.036), the Charlson index (per 1-point increase, P < 0.001), and the Sequential Organ Failure Assessment score (per 1-point increase, P = 0.001) were independent risk factors for 28-day mortality. Moreover, the nonsurvivor group had significantly higher RDW levels 72 h after the onset of bacteremia than did the survivor group (P = 0.001). In addition, the area under the curve of RDW at the onset of bacteremia, the 72-h RDW, and the Sequential Organ Failure Assessment score for 28-day mortality were 0.764 (P = 0.001), 0.802 (P < 0.001), and 0.703 (P = 0.008), respectively. Red blood cell distribution width at the onset of bacteremia was an independent predictor of mortality in patients with Gram-negative bacteremia. Also, 72-h RDW could be a predictor for all-cause mortality in patients with Gram-negative bacteremia.
Hvidhjelm, Jacob; Sestoft, Dorte; Skovgaard, Lene Theil; Bue Bjorner, Jakob
2014-11-01
Violence and aggressive behavior within psychiatric facilities are serious work environment problems, which have negative consequences for both patients and staff. It is therefore of great importance to reduce both the number and the severity of these violent incidents to improve quality of care. To evaluate the specificity and sensitivity of the Brøset Violence Checklist (BVC) as a predictor of violent incidents for Danish forensic psychiatry patients. A total of 156 patients were assessed three times daily with the BVC for 24 months. All aggressive or violent incidents were recorded using the Staff Observation Aggression Scale-Revised (SOAS-R). SOAS-R scores of 9 or more defined violent incidents. Data were analyzed using standard logistic regression models as well as models incorporating a random person effect. We used receiver operating curve (ROC) analysis to evaluate different BVC thresholds. Of a total of 139,579 BVC registrations we found 1999 scores above 0 and 419 violent incidents. The BVC score was a strong predictor of violence. For the standard cut-off point of 3, specificity was 0.997 and sensitivity was 0.656. For the general risk of violence seen in this study, the risk of violence given a BVC score > 3 (positive predictive value) was 37.2%, and the risk of violence given a BVC score < 3 (negative predictive value) was 0.1%. The BVC showed satisfactory specificity and sensitivity as a predictor of the short-term risk of violence against staff and others by patients in a forensic setting.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Meyer, Francois, E-mail: francois.meyer@chuq.qc.ca; Fortin, Andre; Wang, Chang Shu
2012-03-15
Purpose: Radiation therapy (RT) causes acute and late toxicities that affect various organs and functions. In a large cohort of patients treated with RT for localized head and neck cancer (HNC), we prospectively assessed the occurrence of RT-induced acute and late toxicities and identified characteristics that predicted these toxicities. Methods and Materials: We conducted a randomized trial among 540 patients treated with RT for localized HNC to assess whether vitamin E supplementation could improve disease outcomes. Adverse effects of RT were assessed using the Radiation Therapy Oncology Group Acute Radiation Morbidity Criteria during RT and one month after RT, andmore » the Radiation Therapy Oncology Group/European Organization for Research and Treatment of Cancer Late Radiation Morbidity Scoring Scheme at six and 12 months after RT. The most severe adverse effect among the organs/tissues was selected as an overall measure of either acute or late toxicity. Grade 3 and 4 toxicities were considered as severe. Stepwise multivariate logistic regression models were used to identify all independent predictors (p < 0.05) of acute or late toxicity and to estimate odds ratios (OR) for severe toxicity with their 95% confidence intervals (CI). Results: Grade 3 or 4 toxicity was observed in 23% and 4% of patients, respectively, for acute and late toxicity. Four independent predictors of severe acute toxicity were identified: sex (female vs. male: OR = 1.72, 95% confidence interval [CI]: 1.06-2.80), Karnofsky Performance Status (OR = 0.67 for a 10-point increment, 95% CI: 0.52-0.88), body mass index (above 25 vs. below: OR = 1.88, 95% CI: 1.22-2.90), TNM stage (Stage II vs. I: OR = 1.91, 95% CI: 1.25-2.92). Two independent predictors were found for severe late toxicity: female sex (OR = 3.96, 95% CI: 1.41-11.08) and weight loss during RT (OR = 1.26 for a 1 kg increment, 95% CI: 1.12-1.41). Conclusions: Knowledge of these predictors easily collected in a clinical setting could help tailoring therapies to reduce toxicities among patients treated with RT for HNC.« less
Prunier, Jérôme G.; Dewulf, Alexandre; Kuhlmann, Michael; Michez, Denis
2017-01-01
Morphological traits can be highly variable over time in a particular geographical area. Different selective pressures shape those traits, which is crucial in evolutionary biology. Among these traits, insect wing morphometry has already been widely used to describe phenotypic variability at the inter-specific level. On the contrary, fewer studies have focused on intra-specific wing morphometric variability. Yet, such investigations are relevant to study potential convergences of variation that could highlight micro-evolutionary processes. The recent sampling and sequencing of three solitary bees of the genus Melitta across their entire species range provides an excellent opportunity to jointly analyse genetic and morphometric variability. In the present study, we first aim to analyse the spatial distribution of the wing shape and centroid size (used as a proxy for body size) variability. Secondly, we aim to test different potential predictors of this variability at both the intra- and inter-population levels, which includes genetic variability, but also geographic locations and distances, elevation, annual mean temperature and precipitation. The comparison of spatial distribution of intra-population morphometric diversity does not reveal any convergent pattern between species, thus undermining the assumption of a potential local and selective adaptation at the population level. Regarding intra-specific wing shape differentiation, our results reveal that some tested predictors, such as geographic and genetic distances, are associated with a significant correlation for some species. However, none of these predictors are systematically identified for the three species as an important factor that could explain the intra-specific morphometric variability. As a conclusion, for the three solitary bee species and at the scale of this study, our results clearly tend to discard the assumption of the existence of a common pattern of intra-specific signal/structure within the intra-specific wing shape and body size variability. PMID:28273178
Goldstein, Risë B.; Smith, Sharon M.; Dawson, Deborah A.; Grant, Bridget F.
2016-01-01
Incidence rates of alcohol and drug use disorders (AUDs and DUDs) are consistently higher in men than women, but information on whether sociodemographic and psychiatric diagnostic predictors of AUD and DUD incidence differ by sex is limited. Using data from Waves 1 and 2 of the National Epidemiologic Survey on Alcohol and Related Conditions, sex-specific 3-year incidence rates of AUDs and DUDs among United States adults were compared by sociodemographic variables and baseline psychiatric disorders. Sex-specific logistic regression models estimated odds ratios for prediction of incident AUDs and DUDs, adjusting for potentially confounding baseline sociodemographic and diagnostic variables. Few statistically significant sex differences in predictive relationships were identified and those observed were generally modest. Prospective research is needed to identify predictors of incident DSM-5 AUDs and DUDs and their underlying mechanisms, including whether there is sex specificity by developmental phase, in the role of additional comorbidity in etiology and course, and in outcomes of prevention and treatment. PMID:26727008
Sensitivity and specificity of memory and naming tests for identifying left temporal-lobe epilepsy.
Umfleet, Laura Glass; Janecek, Julie K; Quasney, Erin; Sabsevitz, David S; Ryan, Joseph J; Binder, Jeffrey R; Swanson, Sara J
2015-01-01
The sensitivity and specificity of the Selective Reminding Test (SRT) Delayed Recall, Wechsler Memory Scale (WMS) Logical Memory, the Boston Naming Test (BNT), and two nonverbal memory measures for detecting lateralized dysfunction in association with side of seizure focus was examined in a sample of 143 patients with left or right temporal-lobe epilepsy (TLE). Scores on the SRT and BNT were statistically significantly lower in the left TLE group compared with the right TLE group, whereas no group differences emerged on the Logical Memory subtest. No significant group differences were found with nonverbal memory measures. When the SRT and BNT were both entered as predictors in a logistic regression, the BNT, although significant, added minimal value to the model beyond the variance accounted for by the SRT Delayed Recall. Both variables emerged as significant predictors of side of seizure focus when entered into separate regressions. Sensitivity and specificity of the SRT and BNT ranged from 56% to 65%. The WMS Logical Memory and nonverbal memory measures were not significant predictors of the side of seizure focus.
Whistle-Blowing and the Code of Silence in Police Agencies: Policy and Structural Predictors
ERIC Educational Resources Information Center
Rothwell, Gary R.; Baldwin, J. Norman
2007-01-01
This article reports the findings from a study that investigates predictors of police willingness to blow the whistle and police frequency of blowing the whistle on seven forms of misconduct. It specifically investigates the capacity of nine policy and structural variables to predict whistle-blowing. The results indicate that two variables, a…
Predictor sort sampling, tight t`s, and the analysis of covariance : theory, tables, and examples
S. P. Verrill; D. W. Green
In recent years wood strength researchers have begun to replace experimental unit allocation via random sampling with allocation via sorts based on nondestructive measurements of strength predictors such as modulus of elasticity and specific gravity. Although this procedure has the potential of greatly increasing experimental sensitivity, as currently implemented it...
ERIC Educational Resources Information Center
Putwain, Dave; Sander, Paul; Larkin, Derek
2013-01-01
Background: Academic self-efficacy, when operationalized as mastery over domain-specific knowledge, has been found to be a predictor of academic achievement and emotions. Although academic emotions are also a predictor of academic achievement, there is limited evidence for reciprocal relations with academic achievement. Aims: To examine whether…
Recovery-oriented perceptions as predictors of reincarceration.
De Leon, George; Melnick, Gerald; Cao, Yan; Wexler, Harry K
2006-07-01
The present prospective study explored whether a specific class of client subjective assessments predicts later recovery. Measures of client perceptions of self-change in substance abusers were obtained a year after release from a prison-based therapeutic community. Analyses assessed the contribution of these perceptions-along with motivation, age, and risk index of social deviancy-in predicting reincarceration at 3-year follow-up. Results showed that two factors (Individual Growth and Socialization) significantly differentiated reincarceration and nonreincarceration at 1-year postrelease and significantly predicted reincarceration at 3-year follow-up. Findings underscore the relevance of perceptions of self-change early in recovery to later recovery behaviors. Research on recovery factors needs a uniform assessment protocol, which organizes client perceptions, beliefs, and attributions in accordance with a recovery stage framework.
van de Ven, Hardy A; Klein Hesselink, John; Bültmann, Ute; de Boer, Michiel R; de Looze, Michiel P; van der Klink, Jac J L; Brouwer, Sandra
2014-05-01
The aim of this study was to examine which individual and work-related characteristics predict work outcomes related to sustainable employment among male shift and day workers. Between 1 September 2005 and 31 December 2009, data on individual and work-related characteristics of N=5640 employees of Tata Steel in the Netherlands were retrieved from the Occupational Health Service and company registers. Work outcomes related to sustainable employment were (i) temporarily being placed in less strenuous work, (ii) sickness absence ≥6 weeks, and (iii) leaving the organization. Cox proportional hazard analyses were performed for all outcome measures. Similar predictors were found for shift and day workers although some differences were observed. For shift workers, high blood pressure and cardiovascular disease were important predictors for sickness absence. For day workers, insomnia was an important predictor of sickness absence ≥6 weeks. Similar predictors in magnitude and direction were found for work outcomes related to sustainable employment among shift and day workers. Interventions aimed at enhancing sustainable employability should focus on individual and work-related characteristics.
Jopp, Daniela; Rott, Christoph; Oswald, Frank
2008-10-01
Valuation of life (VOL) represents a construct capturing active attachment to life put forward by M. P. Lawton (e.g., 1999). As old and very old individuals may differ in terms of endorsement and with respect to what makes a life worth living, the present study investigated whether mean levels and the explanatory value of sociodemographic, social, and health predictors for VOL differ between young-old and old-old individuals. We presented a sample of 356 community-dwelling individuals aged 65 to 94 years with Lawton's Positive Valuation of Life Scale and established measures to assess predictors of VOL. Mean levels of VOL decreased from the third to the fourth age. Zero-order correlations showed significant relations between sociodemographic (i.e., age, gender, marital status, education), social (i.e., social contacts, phone calls, volunteering, contact with youth), and health (i.e., mobility, vision, hearing, activity restrictions, activity of daily living [ADL], instrumental ADL [IADL]) indicators. Regression analyses for the domain-specific predictors reduced the number of significant predictors to age, education, grandchildren, vision, and IADLs. When combining all sets of predictors, health explained twice as much variance in VOL compared to social indicators; sociodemographic indicators including age made no independent contribution. Separate analysis for young-old and old-old participants revealed age-differential prediction patterns. For the young-old, the role of health factors was especially strong, whereas specific social factors became more important in the old-old group. Age-differential predictive values of the resources seem to indicate positive adaptation to aging. Taking into account such prediction patterns may help to design specific interventions for young-old and old-old individuals.
Ynalvez, Marcus Antonius; Ynalvez, Ruby; Torregosa, Marivic; Palacios, Horacio; Kilburn, John
2012-01-01
This study examines the association of children's (i) micro-social environment, specifically siblings [kin-friends] and friends from school and neighborhood [non-kin-friends], and (ii) ownership of information and communication technologies (ICT), specifically cell phones and iPod/MP3 players, with body mass index percentile (BMIp). Fifty-five randomly selected 6th graders with a mean age of 12 years, stratified by gender (23 boys and 32 girls), from a Texas middle school located in a city along the U.S. southern border. The linear regression of BMIp on number of siblings and of non-kin-friends, and ownership of cell phone and of iPod/MP3 player was examined using two models: M1 was based on the manual selection of predictors from a pool of potential predictors. M2 was derived from the predictors specified in M1 using backward elimination technique. Because sample size was small, the significance of regression coefficients was evaluated using robust standard errors to calculate t-values. Data for predictors were obtained through a survey. Height and weight were obtained through actual anthropometric measurements. BMIp was calculated using the on-line BMI calculator of the Center for Disease Control and Prevention. Findings reveal that children's social environment and ICT ownership predict BMIp; specifically, number of siblings (M2: β = -0.34, p-value < .001), and ownership of iPod/MP3 players (M2: β = 0.33, p-value < .001). These results underscore the importance of family in configuring, and of new personal technical devices (that encourage solitary, and oftentimes sedentary, activities) in predicting child body mass. © 2012 Asian Oceanian Association for the Study of Obesity . Published by Elsevier Ltd. All rights reserved.
Danuser, Brigitta; Simcox, Amira; Koller, Michael; Wild, Pascal
2017-01-01
Background Return to work with or after a chronic disease is a dynamic process influenced by a variety of interactions between personal, work, societal and medical resources or constraints. The aim of this study was to identify predictors for employment 12 months after transplantation in kidney patients, applying a bio-psycho-social model. Methods All kidney patients followed in the Swiss Transplant Cohort between May 2008 and December 2012, aged 18 to 65 were assessed before, 6 and 12 months after transplantation. Results Of the 689 included patients, 56.2% worked 12 months post- transplantation compared to 58.9% pre-transplantation. Age, education, self-perceived health (6 months post- transplantation), pre- transplantation employment and receiving an organ from a living donor are significant predictors of employment post- transplantation. Moreover, while self-perceived health increased post- transplantation, depression score decreased only among those employed 12 months post- transplantation. Pre- transplantation employment status was the main predictor for post- transplantation employment (OR = 18.6) and was associated with sex, age, education, depression and duration of dialysis. An organ from a living donor (42.1%) was more frequent in younger patients, with higher education, no diabetes and shorter waiting time to surgery. Conclusion Transplantation did not increase employment in end-stage kidney disease patients but helped maintaining employment. Pre-transplantation employment has been confirmed to be the most important predictor of post-transplantation employment. Furthermore, socio-demographic and individual factors predicted directly and indirectly the post-transplantation employment status. With living donor, an additional predictor linked to social factors and the medical procedure has been identified. PMID:28448501
Gorgulu, Semih; Gencosmanoglu, Rasim; Akaoglu, Cuneyt
2008-01-01
The aim of this study was to present the outcomes of military penetrating abdominal gunshot injuries, to identify factors that predict morbidity, and to compare the present results with those from two civilian trauma centers. Fifty-one consecutive patients who had suffered high-velocity gunshot wounds to the abdomen were assessed retrospectively. Penetrating abdominal trauma index, the number of injured organs, and the presence of colonic injury were significantly associated with high morbidity by univariate analysis. Multivariate analysis showed that only the number of organs injured and presence of colonic injury were independent predictors of morbidity. Our results showed that military rifle bullets do not cause greater tissue disruption than that found in wounds created by lower-velocity projectiles. The presence of colonic injury and the number of organs injured (more than three) seem to be important predictors of morbidity in penetrating abdominal gunshot wounds caused by high-velocity missiles.
Canine recommended breed weight ranges are not a good predictor of an ideal body condition score.
Smith, E G; Davis, K; Sulsh, L; Harvey, S C; Fowler, K E
2018-05-08
Breed-specific ideal bodyweight range information is widely used by dog owners and breeders as a guideline to ensure animals are within a healthy weight range. Body Condition Scoring, a method used by veterinarians to assess an animal's overall shape with regard to weight is considered to be an excellent method to determine an animal's overall body condition; these values, however, do not always correspond to published weight ranges. Here, the weight, neuter status, age and a nine-point Body Condition Score of a population of 140 purebred dogs were recorded and subsequently analysed to determine whether bodyweight was an effective predictor for Body Condition Scores. This comparison indicated that published recommended, breed-specific body weight ranges are not a good predictor for an ideal BCS and as such, guidelines for owners and breeders need to be systematically reviewed. © 2018 Blackwell Verlag GmbH.
Using a Standardized Donor Ratio to Assess Organ Procurement Organizations
Stogis, Sheryl; Hirth, Richard A; Strawderman, Robert L; Banaszak-Holl, Jane; Smith, Dean G
2002-01-01
Objective To develop a Standardized Donor Ratio (SDR) as an outcome measure for evaluating the effectiveness of organ procurement organizations (OPOs). Data Sources/Study Setting All deaths by cause in the United States during 1993–1994 as reported in the Vital Mortality Statistics, Multiple Cause of Death files. The OPO-specific data were provided by the United Network for Organ Sharing (UNOS). Study Design Each OPO's expected number of donors was calculated by applying national donation rates to deaths with potential for donation in 24 age, sex, and race cells. The SDR was calculated by dividing the observed number of donors by the expected number. The X2 tests of the hypothesis that the OPO's performance differed from the national norm of 1.0 were performed. The SDR was compared to the existing performance standard based on the unadjusted number of donors per million live population in the OPO's service area. An ordinary least squares (OLS) regression assessed predictors of the SDR. Principal Findings The SDRs ranged from 0.41 to 1.99. Twenty-nine of 64 OPOs had SDRs significantly different than 1.0. The SDRs were positively associated with the percent of white living population and the number of organ types transplanted per transplant center served by the OPO. Conclusions The SDRs can be used by Centers for Medicare and Medicaid Services (CMS), UNOS, and OPOs to target quality improvement initiatives, present more accurate comparisons of OPO performance, and develop public policy on the evaluation of the effectiveness of organ procurement efforts. PMID:12479499
ERIC Educational Resources Information Center
Case, Kimberly Fay
2010-01-01
The theory of student involvement (Astin, 1984) acknowledges that as students devote sufficient time and energy to educationally purposeful activities, they can expect to make desirable gains throughout the college years. Participation in campus clubs and organizations is one form of involvement found to be associated with a host of learning and…
Landscape capability predicts upland game bird abundance and occurrence
Loman, Zachary G.; Blomberg, Erik J.; DeLuca, William; Harrison, Daniel J.; Loftin, Cyndy; Wood, Petra B.
2017-01-01
Landscape capability (LC) models are a spatial tool with potential applications in conservation planning. We used survey data to validate LC models as predictors of occurrence and abundance at broad and fine scales for American woodcock (Scolopax minor) and ruffed grouse (Bonasa umbellus). Landscape capability models were reliable predictors of occurrence but were less indicative of relative abundance at route (11.5–14.6 km) and point scales (0.5–1 km). As predictors of occurrence, LC models had high sensitivity (0.71–0.93) and were accurate (0.71–0.88) and precise (0.88 and 0.92 for woodcock and grouse, respectively). Models did not predict point-scale abundance independent of the ability to predict occurrence of either species. The LC models are useful predictors of patterns of occurrences in the northeastern United States, but they have limited utility as predictors of fine-scale or route-specific abundances.
Mooney, Catherine; Haslam, Niall J.; Pollastri, Gianluca; Shields, Denis C.
2012-01-01
The conventional wisdom is that certain classes of bioactive peptides have specific structural features that endow their particular functions. Accordingly, predictions of bioactivity have focused on particular subgroups, such as antimicrobial peptides. We hypothesized that bioactive peptides may share more general features, and assessed this by contrasting the predictive power of existing antimicrobial predictors as well as a novel general predictor, PeptideRanker, across different classes of peptides. We observed that existing antimicrobial predictors had reasonable predictive power to identify peptides of certain other classes i.e. toxin and venom peptides. We trained two general predictors of peptide bioactivity, one focused on short peptides (4–20 amino acids) and one focused on long peptides ( amino acids). These general predictors had performance that was typically as good as, or better than, that of specific predictors. We noted some striking differences in the features of short peptide and long peptide predictions, in particular, high scoring short peptides favour phenylalanine. This is consistent with the hypothesis that short and long peptides have different functional constraints, perhaps reflecting the difficulty for typical short peptides in supporting independent tertiary structure. We conclude that there are general shared features of bioactive peptides across different functional classes, indicating that computational prediction may accelerate the discovery of novel bioactive peptides and aid in the improved design of existing peptides, across many functional classes. An implementation of the predictive method, PeptideRanker, may be used to identify among a set of peptides those that may be more likely to be bioactive. PMID:23056189
A Magnetoencephalographic (MEG) Study of Gulf War Illness (GWI).
Engdahl, Brian E; James, Lisa M; Miller, Ryan D; Leuthold, Arthur C; Lewis, Scott M; Carpenter, Adam F; Georgopoulos, Apostolos P
2016-10-01
Gulf War Illness (GWI) has affected many Gulf War veterans. It involves several organs, most notably the brain. Neurological-cognitive-mood-related symptoms frequently dominate and are at the root of chronic ill-health and disability in GWI. Here we investigated the neural mechanisms underlying brain dysfunction in GWI in the absence of mental health disorders. Eighty-six veterans completed diagnostic interviews to establish the presence of GWI and assess mental health status. Participants diagnosed with GWI met both Center for Disease Control and Kansas criteria. We studied 46 healthy controls and 40 veterans with GWI without mental illness. They all underwent a resting-state magnetoencephalographic (MEG) scan to assess brain communication based on synchronous neural interactions (SNI; Georgopoulos et al., 2007). We found substantial differences in SNI between control and GWI groups centered on the cerebellum and frontal cortex. In addition, using the maxima and minima of SNI per sensor as predictors, we successfully classified 94.2% of the 86 participants (95% sensitivity, 93.5% specificity). These findings document distinct differences in brain function between control and GWI in the absence of mental health comorbidities, differences that are excellent predictors of GWI. U.S. Department of Veterans Affairs and University of Minnesota. Published by Elsevier B.V.
The relationship between work and home characteristics and work engagement in medical residents.
Verweij, Hanne; van Hooff, Madelon L M; van der Heijden, Frank M M A; Prins, Jelle T; Lagro-Janssen, Antoine L M; van Ravesteijn, Hiske; Speckens, Anne E M
2017-08-01
Work engagement is important for medical residents and the healthcare organizations they work for. However, relatively little is known about the specific predictors of work engagement in medical residents. Therefore, we examined the associations of work and home characteristics, and work-home interference with work engagement in male and female residents. This study was conducted on a nationwide sample of medical residents. In 2005, all Dutch medical residents (n = 5245) received a self-report questionnaire. Path analysis was used to examine the associations between the potential predictors and work engagement. In total, 2115 (41.1%) residents completed the questionnaire. Job characteristics, home characteristics and work-home interference were associated with work engagement. Important positive contributing factors of work engagement were opportunities for job development, mental demands at work, positive work-home interference and positive home-work interference. Important negative contributing factors were emotional demands at work and negative home-work interference. The influence of these factors on work engagement was similar in male and female residents. Opportunities for job development and having challenging work are of high relevance in enhancing work engagement. Furthermore, interventions that teach how to deal skilfully with emotional demands at work and home-work interference are expected to be the most effective interventions to enhance work engagement in medical residents.
A generalized conditional heteroscedastic model for temperature downscaling
NASA Astrophysics Data System (ADS)
Modarres, R.; Ouarda, T. B. M. J.
2014-11-01
This study describes a method for deriving the time varying second order moment, or heteroscedasticity, of local daily temperature and its association to large Coupled Canadian General Circulation Models predictors. This is carried out by applying a multivariate generalized autoregressive conditional heteroscedasticity (MGARCH) approach to construct the conditional variance-covariance structure between General Circulation Models (GCMs) predictors and maximum and minimum temperature time series during 1980-2000. Two MGARCH specifications namely diagonal VECH and dynamic conditional correlation (DCC) are applied and 25 GCM predictors were selected for a bivariate temperature heteroscedastic modeling. It is observed that the conditional covariance between predictors and temperature is not very strong and mostly depends on the interaction between the random process governing temporal variation of predictors and predictants. The DCC model reveals a time varying conditional correlation between GCM predictors and temperature time series. No remarkable increasing or decreasing change is observed for correlation coefficients between GCM predictors and observed temperature during 1980-2000 while weak winter-summer seasonality is clear for both conditional covariance and correlation. Furthermore, the stationarity and nonlinearity Kwiatkowski-Phillips-Schmidt-Shin (KPSS) and Brock-Dechert-Scheinkman (BDS) tests showed that GCM predictors, temperature and their conditional correlation time series are nonlinear but stationary during 1980-2000 according to BDS and KPSS test results. However, the degree of nonlinearity of temperature time series is higher than most of the GCM predictors.
External validation and comparison of three pediatric clinical dehydration scales.
Jauregui, Joshua; Nelson, Daniel; Choo, Esther; Stearns, Branden; Levine, Adam C; Liebmann, Otto; Shah, Sachita P
2014-01-01
To prospectively validate three popular clinical dehydration scales and overall physician gestalt in children with vomiting or diarrhea relative to the criterion standard of percent weight change with rehydration. We prospectively enrolled a non-consecutive cohort of children ≤ 18 years of age with an acute episode of diarrhea or vomiting. Patient weight, clinical scale variables and physician clinical impression, or gestalt, were recorded before and after fluid resuscitation in the emergency department and upon hospital discharge. The percent weight change from presentation to discharge was used to calculate the degree of dehydration, with a weight change of ≥ 5% considered significant dehydration. Receiver operating characteristics (ROC) curves were constructed for each of the three clinical scales and physician gestalt. Sensitivity and specificity were calculated based on the best cut-points of the ROC curve. We approached 209 patients, and of those, 148 were enrolled and 113 patients had complete data for analysis. Of these, 10.6% had significant dehydration based on our criterion standard. The Clinical Dehydration Scale (CDS) and Gorelick scales both had an area under the ROC curve (AUC) statistically different from the reference line with AUCs of 0.72 (95% CI 0.60, 0.84) and 0.71 (95% CI 0.57, 0.85) respectively. The World Health Organization (WHO) scale and physician gestalt had AUCs of 0.61 (95% CI 0.45, 0.77) and 0.61 (0.44, 0.78) respectively, which were not statistically significant. The Gorelick scale and Clinical Dehydration Scale were fair predictors of dehydration in children with diarrhea or vomiting. The World Health Organization scale and physician gestalt were not helpful predictors of dehydration in our cohort.
External Validation and Comparison of Three Pediatric Clinical Dehydration Scales
Jauregui, Joshua; Nelson, Daniel; Choo, Esther; Stearns, Branden; Levine, Adam C.; Liebmann, Otto; Shah, Sachita P.
2014-01-01
Objective To prospectively validate three popular clinical dehydration scales and overall physician gestalt in children with vomiting or diarrhea relative to the criterion standard of percent weight change with rehydration. Methods We prospectively enrolled a non-consecutive cohort of children ≤ 18 years of age with an acute episode of diarrhea or vomiting. Patient weight, clinical scale variables and physician clinical impression, or gestalt, were recorded before and after fluid resuscitation in the emergency department and upon hospital discharge. The percent weight change from presentation to discharge was used to calculate the degree of dehydration, with a weight change of ≥ 5% considered significant dehydration. Receiver operating characteristics (ROC) curves were constructed for each of the three clinical scales and physician gestalt. Sensitivity and specificity were calculated based on the best cut-points of the ROC curve. Results We approached 209 patients, and of those, 148 were enrolled and 113 patients had complete data for analysis. Of these, 10.6% had significant dehydration based on our criterion standard. The Clinical Dehydration Scale (CDS) and Gorelick scales both had an area under the ROC curve (AUC) statistically different from the reference line with AUCs of 0.72 (95% CI 0.60, 0.84) and 0.71 (95% CI 0.57, 0.85) respectively. The World Health Organization (WHO) scale and physician gestalt had AUCs of 0.61 (95% CI 0.45, 0.77) and 0.61 (0.44, 0.78) respectively, which were not statistically significant. Conclusion The Gorelick scale and Clinical Dehydration Scale were fair predictors of dehydration in children with diarrhea or vomiting. The World Health Organization scale and physician gestalt were not helpful predictors of dehydration in our cohort. PMID:24788134
Kordi, Mehdi; Goodall, Stuart; Barratt, Paul; Rowley, Nicola; Leeder, Jonathan; Howatson, Glyn
2017-08-01
From a cycling paradigm, little has been done to understand the relationships between maximal isometric strength of different single joint lower body muscle groups and their relation with, and ability to predict PPO and how they compare to an isometric cycling specific task. The aim of this study was to establish relationships between maximal voluntary torque production from isometric single-joint and cycling specific tasks and assess their ability to predict PPO. Twenty male trained cyclists participated in this study. Peak torque was measured by performing maximum voluntary contractions (MVC) of knee extensors, knee flexors, dorsi flexors and hip extensors whilst instrumented cranks measured isometric peak torque from MVC when participants were in their cycling specific position (ISOCYC). A stepwise regression showed that peak torque of the knee extensors was the only significant predictor of PPO when using SJD and accounted for 47% of the variance. However, when compared to ISOCYC, the only significant predictor of PPO was ISOCYC, which accounted for 77% of the variance. This suggests that peak torque of the knee extensors was the best single-joint predictor of PPO in sprint cycling. Furthermore, a stronger prediction can be made from a task specific isometric task. Copyright © 2017 Elsevier Ltd. All rights reserved.
ERIC Educational Resources Information Center
Lawford, Heather L.; Ramey, Heather L.; Rose-Krasnor, Linda; Proctor, Andrea S.
2012-01-01
The purpose of this study is to examine the factors involved in predicting successful development after an intensive exchange experience in adolescence. Specifically, we considered the eight positive features, as conceptualized by Eccles and Gootman (2002), as well as the amount of input youth had into their exchange experience as predictors of…
ERIC Educational Resources Information Center
Taylor, Zoe E.; Eisenberg, Nancy; Spinrad, Tracy L.
2015-01-01
The goal of this study was to examine physiological and environmental predictors of children's sympathy (an emotional response consisting of feelings of concern or sorrow for others who are distressed or in need) and whether temperamental effortful control mediated these relations. Specifically, in a study of 192 children (23% Hispanic; 54%…
ERIC Educational Resources Information Center
Jacobson, Peggy F.; Walden, Patrick R.
2013-01-01
Purpose: This study explored the utility of language sample analysis for evaluating language ability in school-age Spanish-English sequential bilingual children. Specifically, the relative potential of lexical diversity and word/morpheme omission as predictors of typical or atypical language status was evaluated. Method: Narrative samples were…
Bowers, John C.; Griffitt, Kimberly J.; Molina, Vanessa; Clostio, Rachel W.; Pei, Shaofeng; Laws, Edward; Paranjpye, Rohinee N.; Strom, Mark S.; Chen, Arlene; Hasan, Nur A.; Huq, Anwar; Noriea, Nicholas F.; Grimes, D. Jay; Colwell, Rita R.
2012-01-01
Vibrio parahaemolyticus and Vibrio vulnificus, which are native to estuaries globally, are agents of seafood-borne or wound infections, both potentially fatal. Like all vibrios autochthonous to coastal regions, their abundance varies with changes in environmental parameters. Sea surface temperature (SST), sea surface height (SSH), and chlorophyll have been shown to be predictors of zooplankton and thus factors linked to vibrio populations. The contribution of salinity, conductivity, turbidity, and dissolved organic carbon to the incidence and distribution of Vibrio spp. has also been reported. Here, a multicoastal, 21-month study was conducted to determine relationships between environmental parameters and V. parahaemolyticus and V. vulnificus populations in water, oysters, and sediment in three coastal areas of the United States. Because ecologically unique sites were included in the study, it was possible to analyze individual parameters over wide ranges. Molecular methods were used to detect genes for thermolabile hemolysin (tlh), thermostable direct hemolysin (tdh), and tdh-related hemolysin (trh) as indicators of V. parahaemolyticus and the hemolysin gene vvhA for V. vulnificus. SST and suspended particulate matter were found to be strong predictors of total and potentially pathogenic V. parahaemolyticus and V. vulnificus. Other predictors included chlorophyll a, salinity, and dissolved organic carbon. For the ecologically unique sites included in the study, SST was confirmed as an effective predictor of annual variation in vibrio abundance, with other parameters explaining a portion of the variation not attributable to SST. PMID:22865080
Predictors of Relapse in Patients with Organizing Pneumonia
Kim, Minjung; Seo, Hyewon; Shin, Kyung-Min; Lim, Jae-Kwang; Kim, Hyera; Yoo, Seung-Soo; Lee, Jaehee; Lee, Shin-Yup; Kim, Chang-Ho; Park, Jae-Yong
2015-01-01
Background Although organizing pneumonia (OP) responds well to corticosteroid therapy, relapse is common during dose reduction or follow-up. Predictors of relapse in OP patients remain to be established. The aim of the present study was to identify factors related to relapse in OP patients. Methods This study was retrospectively performed in a tertiary referral center. Of 66 OP patients who were improved with or without treatment, 20 (30%) experienced relapse. The clinical and radiologic parameters in the relapse patient group (n=20) were compared to that in the non-relapse group (n=46). Results Multivariate analysis demonstrated that percent predicted forced vital capacity (FVC), PaO2/FiO2, and serum protein level were significant predictors of relapse in OP patients (odds ratio [OR], 0.82; 95% confidence interval [CI], 0.70-0.97; p=0.018; OR, 1.02; 95% CI, 1.00-1.04; p=0.042; and OR, 0.06; 95% CI, 0.01-0.87; p=0.039, respectively). Conclusion This study shows that FVC, PaO2/FiO2 and serum protein level at presentation can significantly predict relapse in OP patients. PMID:26175771
Gavrilov, Leonid A; Gavrilova, Natalia S
Knowledge of strong predictors of mortality and longevity is very important for actuarial science and practice. Earlier studies found that parental characteristics as well as early-life conditions and midlife environment play a significant role in survival to advanced ages. However, little is known about the simultaneous effects of these three factors on longevity. This ongoing study attempts to fill this gap by comparing centenarians born in the United States in 1890-91 with peers born in the same years who died at age 65. The records for centenarians and controls were taken from computerized family histories, which were then linked to 1900 and 1930 U.S. censuses. As a result of this linkage procedure, 765 records of confirmed centenarians and 783 records of controls were obtained. Analysis with multivariate logistic regression found that parental longevity and some midlife characteristics proved to be significant predictors of longevity while the role of childhood conditions was less important. More centenarians were born in the second half of the year compared to controls, suggesting early origins of longevity. We found the existence of both general and gender-specific predictors of human longevity. General predictors common for men and women are paternal and maternal longevity. Gender-specific predictors of male longevity are the farmer occupation at age 40, Northeastern region of birth in the United States and birth in the second half of year. A gender-specific predictor of female longevity is surprisingly the availability of radio in the household according to the 1930 U.S. census. Given the importance of familial longevity as an independent predictor of survival to advanced ages, we conducted a comparative study of biological and nonbiological relatives of centenarians using a larger sample of 1,945 validated U.S. centenarians born in 1880-95. We found that male gender of centenarian has significant positive effect on survival of adult male relatives (brothers and fathers) but not female blood relatives. Life span of centenarian siblings-in-law is lower compared to life span of centenarian siblings and does not depend on centenarian gender. Wives of male centenarians (who share lifestyle and living conditions) have a significantly better survival compared to wives of centenarians' brothers. This finding demonstrates an important role of shared familial environment and lifestyle in human longevity. The results of this study suggest that familial background, early-life conditions and midlife characteristics play an important role in longevity.
Gavrilov, Leonid A.; Gavrilova, Natalia S.
2014-01-01
Knowledge of strong predictors of mortality and longevity is very important for actuarial science and practice. Earlier studies found that parental characteristics as well as early-life conditions and midlife environment play a significant role in survival to advanced ages. However, little is known about the simultaneous effects of these three factors on longevity. This ongoing study attempts to fill this gap by comparing centenarians born in the United States in 1890–91 with peers born in the same years who died at age 65. The records for centenarians and controls were taken from computerized family histories, which were then linked to 1900 and 1930 U.S. censuses. As a result of this linkage procedure, 765 records of confirmed centenarians and 783 records of controls were obtained. Analysis with multivariate logistic regression found that parental longevity and some midlife characteristics proved to be significant predictors of longevity while the role of childhood conditions was less important. More centenarians were born in the second half of the year compared to controls, suggesting early origins of longevity. We found the existence of both general and gender-specific predictors of human longevity. General predictors common for men and women are paternal and maternal longevity. Gender-specific predictors of male longevity are the farmer occupation at age 40, Northeastern region of birth in the United States and birth in the second half of year. A gender-specific predictor of female longevity is surprisingly the availability of radio in the household according to the 1930 U.S. census. Given the importance of familial longevity as an independent predictor of survival to advanced ages, we conducted a comparative study of biological and nonbiological relatives of centenarians using a larger sample of 1,945 validated U.S. centenarians born in 1880–95. We found that male gender of centenarian has significant positive effect on survival of adult male relatives (brothers and fathers) but not female blood relatives. Life span of centenarian siblings-in-law is lower compared to life span of centenarian siblings and does not depend on centenarian gender. Wives of male centenarians (who share lifestyle and living conditions) have a significantly better survival compared to wives of centenarians' brothers. This finding demonstrates an important role of shared familial environment and lifestyle in human longevity. The results of this study suggest that familial background, early-life conditions and midlife characteristics play an important role in longevity. PMID:25664346
Choi, Kwanghun; Spohn, Marie; Park, Soo Jin; Huwe, Bernd; Ließ, Mareike
2017-01-01
Nitrogen (N) and phosphorus (P) in topsoils are critical for plant nutrition. Relatively little is known about the spatial patterns of N and P in the organic layer of mountainous landscapes. Therefore, the spatial distributions of N and P in both the organic layer and the A horizon were analyzed using a light detection and ranging (LiDAR) digital elevation model and vegetation metrics. The objective of the study was to analyze the effect of vegetation and topography on the spatial patterns of N and P in a small watershed covered by forest in South Korea. Soil samples were collected using the conditioned latin hypercube method. LiDAR vegetation metrics, the normalized difference vegetation index (NDVI), and terrain parameters were derived as predictors. Spatial explicit predictions of N/P ratios were obtained using a random forest with uncertainty analysis. We tested different strategies of model validation (repeated 2-fold to 20-fold and leave-one-out cross validation). Repeated 10-fold cross validation was selected for model validation due to the comparatively high accuracy and low variance of prediction. Surface curvature was the best predictor of P contents in the organic layer and in the A horizon, while LiDAR vegetation metrics and NDVI were important predictors of N in the organic layer. N/P ratios increased with surface curvature and were higher on the convex upper slope than on the concave lower slope. This was due to P enrichment of the soil on the lower slope and a more even spatial distribution of N. Our digital soil maps showed that the topsoils on the upper slopes contained relatively little P. These findings are critical for understanding N and P dynamics in mountainous ecosystems. PMID:28837590
Khush, Kiran K.; Menza, Rebecca; Nguyen, John; Goldstein, Benjamin A.; Zaroff, Jonathan G.; Drew, Barbara J.
2012-01-01
Background Current regulations require that all cardiac allograft offers for transplantation must include an interpreted 12-lead electrocardiogram (ECG). However, little is known about the expected ECG findings in potential organ donors, or the clinical significance of any identified abnormalities in terms of cardiac allograft function and suitability for transplantation. Methods and Results A single experienced reviewer interpreted the first ECG obtained after brainstem herniation in 980 potential organ donors managed by the California Transplant Donor Network from 2002-2007. ECG abnormalities were summarized, and associations between specific ECG findings and cardiac allograft utilization for transplantation were studied. ECG abnormalities were present in 51% of all cases reviewed. The most common abnormalities included voltage criteria for left ventricular hypertrophy (LVH), prolongation of the corrected QT interval (QTc), and repolarization changes (ST/T wave abnormalities). Fifty seven percent of potential cardiac allografts in this cohort were accepted for transplantation. LVH on ECG was a strong predictor of allograft non-utilization. No significant associations were seen between QTc prolongation, repolarization changes and allograft utilization for transplantation, after adjusting for donor clinical variables and echocardiographic findings. Conclusions We have performed the first comprehensive study of ECG findings in potential donors for cardiac transplantation. Many of the common ECG abnormalities seen in organ donors may result from the heightened state of sympathetic activation that occurs after brainstem herniation, and are not associated with allograft utilization for transplantation. PMID:22615333
Emberland, Jan S; Nielsen, Morten Birkeland; Knardahl, Stein
2017-01-10
Relations between several occupational psychological and social factors and disability retirement remain largely unexplored. Knowledge of which specific aspects of the work environment that affect risk of disability is a prerequisite for the success of organizational interventions aiming to prevent premature work force exit. The objective of the present study was to determine contributions to registered disability retirement by a broad range of psychological and social work exposures while taking into account effects of mechanical exposure. Written consent was obtained from 13 012 employees (96 organizations) representing a wide range of occupations, to link their survey responses to data from the Norwegian national registry of disability compensation. Median follow-up time was 5.8 years. To determine effects of self-reported work exposures on risk of disability retirement hazard ratios (HR) and 99% confidence intervals (99% CI) were calculated with Cox regression analysis. Effects of sex, age group, skill level, sickness absence in the last three years, and work exposures estimated to be confounders were accounted for. Post hoc stratification by sex was conducted to explore if identified predictors affected risk of disability retirement differently in men compared to women. Contributors to higher risk of disability retirement were "role conflict" (high level HR 1.55 99% CI 1.07 to 2.24) and "physical workload" (high level HR 1.93 99% CI 1.39 to 2.68). Contributors to lower risk of disability retirement were "positive challenge" (high level HR 0.56 99% CI 0.34 to 0.93), "fair leadership" (high level HR 0.56 99% CI 0.39 to 0.81), and "control over work intensity" (high level HR 0.62, 99% CI 0.47 to 0.82). Direction of effects was not dependent on sex in any of the five identified predictors. Several specific psychological and social work factors are independent contributors to risk of disability retirement. In order to prevent premature work force exit workplace interventions should consider targeting the predictors identified by the present study.
1988-03-28
Washington D.C. 20350-1000. Stryker, S., & Gottlieb, A. (1981). Attribution theory and symbolic interactionism : A comparison. In J.H. Howes, W...ERFORMIING ORGANIZATION 6b OFFiCE SYMBOL 7a NAME OF MONITORING ORGANIZATION (If applicable) Naval Health Research Center 40 Commander, Naval Medical Command...Washington, DC 20372 ea NAME OF FUNDING/SPONSORING Bb OFFICE SYMBOL 9. PROCUREMENT INSTRUMENT IDENTIFICATION NUMBER ORGANIZATION Naval Medical (If applicable
2015-10-01
Monotherapy for Recurrent Ovarian Carcinoma PRINCIPAL INVESTIGATOR: Scott H. Kaufmann CONTRACTING ORGANIZATION: Mayo Clinic Rochester, MN 55905...UNIT NUMBER 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) Mayo Clinic and Foundation AND ADDRESS(ES) 8. PERFORMING ORGANIZATION REPORT...NUMBER 200 First St., S.W. Rochester, MN 55905 9. SPONSORING / MONITORING AGENCY NAME(S) AND ADDRESS(ES) Mayo Clinic Rochester, MN 55905 10. SPONSOR
Chilenski, Sarah M; Olson, Jonathan R; Schulte, Jill A; Perkins, Daniel F; Spoth, Richard
2015-02-01
Prior theoretical and empirical research suggests that multiple aspects of an organization's context are likely related to a number of factors, from their interest and ability to adopt new programming, to client outcomes. A limited amount of the prior research has taken a more community-wide perspective by examining factors that associate with community readiness for change, leaving how these findings generalize to community organizations that conduct prevention or positive youth development programs unknown. Thus for the current study, we examined how the organizational context of the Cooperative Extension System (CES) associates with current attitudes and practices regarding prevention and evidence-based programming. Attitudes and practices have been found in the empirical literature to be key indicators of an organization's readiness to adopt prevention and evidence-based programming. Based on multi-level mixed models, results indicate that organizational management practices distinct from program delivery may affect an organization's readiness to adopt and implement new prevention and evidence-based youth programs, thereby limiting the potential public health impact of evidence-based programs. Openness to change, openness of leadership, and communication were the strongest predictors identified within this study. An organization's morale was also found to be a strong predictor of an organization's readiness. The findings of the current study are discussed in terms of implications for prevention and intervention.
Szakmany, T; Pugh, R; Kopczynska, M; Lundin, R M; Sharif, B; Morgan, P; Ellis, G; Abreu, J; Kulikouskaya, S; Bashir, K; Galloway, L; Al-Hassan, H; Grother, T; McNulty, P; Seal, S T; Cains, A; Vreugdenhil, M; Abdimalik, M; Dennehey, N; Evans, G; Whitaker, J; Beasant, E; Hall, C; Lazarou, M; Vanderpump, C V; Harding, K; Duffy, L; Guerrier Sadler, A; Keeling, R; Banks, C; Ng, S W Y; Heng, S Y; Thomas, D; Puw, E W; Otahal, I; Battle, C; Minik, O; Lyons, R A; Hall, J E
2018-02-01
Our aim was to prospectively determine the predictive capabilities of SEPSIS-1 and SEPSIS-3 definitions in the emergency departments and general wards. Patients with National Early Warning Score (NEWS) of 3 or above and suspected or proven infection were enrolled over a 24-h period in 13 Welsh hospitals. The primary outcome measure was mortality within 30 days. Out of the 5422 patients screened, 431 fulfilled inclusion criteria and 380 (88%) were recruited. Using the SEPSIS-1 definition, 212 patients had sepsis. When using the SEPSIS-3 definitions with Sequential Organ Failure Assessment (SOFA) score ≥ 2, there were 272 septic patients, whereas with quickSOFA score ≥ 2, 50 patients were identified. For the prediction of primary outcome, SEPSIS-1 criteria had a sensitivity (95%CI) of 65% (54-75%) and specificity of 47% (41-53%); SEPSIS-3 criteria had a sensitivity of 86% (76-92%) and specificity of 32% (27-38%). SEPSIS-3 and SEPSIS-1 definitions were associated with a hazard ratio (95%CI) 2.7 (1.5-5.6) and 1.6 (1.3-2.5), respectively. Scoring system discrimination evaluated by receiver operating characteristic curves was highest for Sequential Organ Failure Assessment score (0.69 (95%CI 0.63-0.76)), followed by NEWS (0.58 (0.51-0.66)) (p < 0.001). Systemic inflammatory response syndrome criteria (0.55 (0.49-0.61)) and quickSOFA score (0.56 (0.49-0.64)) could not predict outcome. The SEPSIS-3 definition identified patients with the highest risk. Sequential Organ Failure Assessment score and NEWS were better predictors of poor outcome. The Sequential Organ Failure Assessment score appeared to be the best tool for identifying patients with high risk of death and sepsis-induced organ dysfunction. © 2017 The Association of Anaesthetists of Great Britain and Ireland.
Fu, Qiang; Chang, Yuan; An, Huimin; Fu, Hangcheng; Zhu, Yu; Xu, Le; Zhang, Weijuan; Xu, Jiejie
2015-12-01
Interleukin-6 (IL-6) is the major cytokine that induces transcriptional acute and chronic inflammation responses, and was recently incorporated as a recurrence prognostication signature for localised clear-cell renal cell carcinoma (ccRCC). As the prognostic efficacy of initial risk factors may ebb during long-term practice, we aim to report conditional cancer-specific survival (CCSS) of RCC patients and evaluate the impact of IL-6 as well as its receptor (IL-6R) to offer more relevant prognostic information accounting for elapsing time. We enrolled 180 histologically proven localised ccRCC patients who underwent nephrectomy between 2001 and 2004 with available pathologic information. Five-year CCSS was determined and stratified by future prognostic factors. Constant Cox regression analysis and Harrell's concordance index were used to indicate the predictive accuracy of established models. The 5-year CCSS of organ-confined ccRCC patients with both IL-6- and IL-6R-positive expression was 52% at year 2 after surgery, which was close to locally advanced patients (48%, P=0.564) and was significantly poorer than organ-confined patients with IL-6- or IL-6R-negative expression (89%, P<0.001). Multivariate analyses proved IL-6 and IL-6R as independent predictors after adjusting for demographic factors. Concordance index of pT-IL-6-IL-6R risk stratification was markedly higher compared with the stage, size, grade and necrosis prognostic model (0.724 vs 0.669, P=0.002) or UCLA Integrated Staging System (0.724 vs 0.642, P=0.007) in organ-confined ccRCC population during the first 5 years. Combined IL-6 and IL-6R coexpression emerges as an independent early-stage immunologic prognostic factor for organ-confined ccRCC patients.
Predictors of specific phobia in children with Williams syndrome.
Pitts, C H; Klein-Tasman, B P; Osborne, J W; Mervis, C B
2016-10-01
Specific phobia (SP) is the most common anxiety disorder among children with Williams syndrome (WS); prevalence rates derived from Diagnostic and Statistical Manual of Mental Disorders-based diagnostic interviews range from 37% to 56%. We evaluated the effects of gender, age, intellectual abilities and/or behaviour regulation difficulties on the likelihood that a child with WS would be diagnosed with SP. A total of 194 6-17 year-olds with WS were evaluated. To best characterise the relations between the predictors and the probability of a SP diagnosis, we explored not only possible linear effects but also curvilinear effects. No gender differences were detected. As age increased, the likelihood of receiving a SP diagnosis decreased. As IQ increased, the probability of receiving a SP diagnosis also decreased. Behaviour regulation difficulties were the strongest predictor of a positive diagnosis. A quadratic relation was detected: The probability of receiving a SP diagnosis gradually rose as behaviour regulation difficulties increased. However, once behaviour regulation difficulties approached the clinical range, the probability of receiving a SP diagnosis asymptoted at a high level. Children with behaviour regulation difficulties in or just below the clinical range were at the greatest risk of developing SP. These findings highlight the value of large samples and the importance of evaluating for nonlinear effects to provide accurate model specification when characterising relations among a dependent variable and possible predictors. © 2016 MENCAP and International Association of the Scientific Study of Intellectual and Developmental Disabilities and John Wiley & Sons Ltd.
Luppa, Melanie; Gentzsch, Katrin; Angermeyer, Matthias C; Weyerer, Siegfried; König, Hans-Helmut; Riedel-Heller, Steffi G
2011-05-01
Especially given the different socialization and life conditions of men and women, it could not be assumed that factors leading to nursing home admission (NHA) can be equally applied to both genders. We aimed to determine gender-specific predictors of NHA. Data were derived from the Leipzig Longitudinal Study of the Aged, a population-based study of individuals aged 75 years and older. 1,058 older adults were interviewed six times on average every 1.4 years. Sociodemographic, clinical, and psychometric variables were obtained. Cox proportional hazards regression was used to determine predictors of NHA. 10.3 % of men and 19.5 % of women (p < 0.001) were admitted to nursing home during the study period. The mean time to nursing home was 7.2 years for men and 6.8 years for women. Characteristics associated with a shorter time to NHA were increased age for men and women; cognitive impairment, poor self-rated health status, and less than two specialist's visits in the preceding 12 months for women, and being unmarried, moderate educational status, and hospitalization in the preceding 12 months were predictors of NHA for men. Gender differences in prediction of NHA do actually exist. The inclusion of gender-specific factors in design and application of interventions to support individuals at home and delay or prevent NHA appears to be warranted. © Georg Thieme Verlag KG Stuttgart · New York.
Gavrilov, Leonid A.; Gavrilova, Natalia S.
2015-01-01
Knowledge of strong predictors of mortality and longevity is very important for actuarial science and practice. Earlier studies found that parental characteristics as well as early-life conditions and midlife environment play a significant role in survival to advanced ages. However, little is known about the simultaneous effects of these three factors on longevity. This ongoing study attempts to fill this gap by comparing centenarians born in the United States in 1890–1891 with peers born in the same years who died at age 65. The records for centenarians and controls were taken from computerized family histories, which were then linked to 1900 and 1930 U.S. censuses. As a result of this linkage procedure, 765 records of confirmed centenarians and 783 records of controls were obtained. Analysis with multivariate logistic regression found the existence of both general and gender-specific predictors of human longevity. General predictors common for men and women are paternal and maternal longevity. Gender-specific predictors of male longevity are occupation as a farmer at age 40, Northeastern region of birth in the United States, and birth in the second half of year. A gender-specific predictor of female longevity is the availability of radio in the household according to the 1930 U.S. census. Given the importance of familial longevity as an independent predictor of survival to advanced ages, we conducted a comparative study of biological and nonbiological relatives of centenarians using a larger sample of 1,945 validated U.S. centenarians born in 1880–1895. We found that male gender of centenarian has a significant positive effect on survival of adult male relatives (brothers and fathers) but not female blood relatives. Life span of centenarian siblings-in-law is lower compared to life span of centenarian siblings and does not depend on centenarian gender. Wives of male centenarians (who share lifestyle and living conditions) have a significantly better survival compared to wives of centenarians’ brothers. This finding demonstrates an important role of shared familial environment and lifestyle in human longevity. The results of this study suggest that familial background, some early-life conditions and midlife characteristics play an important role in longevity. PMID:26412963
Murillo Pardo, Berta; García Bengoechea, Enrique; Julián Clemente, José Antonio; Generelo Lanaspa, Eduardo
2016-04-01
The purpose of this study was to investigate the effects of the multicomponent Sigue la Huella intervention on selected motivational outcomes and whether any of these outcomes, in addition to relevant socio-demographic, biological, and behavioral factors, served as predictors of moderate-to-vigorous physical activity and sedentary time among participants through the intervention. This quasi-experimental, cohort study took place in four secondary schools in Huesca (Spain) during three academic years (students aged 12-15 years). Two schools were assigned to the experimental condition (n = 368) and two schools to the control condition (n = 314). Outcome variables were assessed objectively. A total of 553 participants met study inclusion criteria. Compared to the control group, participants in the experimental group reported greater enjoyment of physical activity, intrinsic and extrinsic motivation in physical education, perceived autonomy in physical education, perceived competence in physical education, and perceived importance of physical education over time. Participants in this group reported also lower amotivation in physical education over time. In subsequent analyses, gender, organized physical activity out of school, sedentary time, and perceived importance of physical education predicted moderate-to-vigorous physical activity. Type of school (public vs. private), moderate-to-vigorous physical activity, and perceived autonomy in physical education emerged as predictors of sedentary time. Sigue la Huella had a positive effect on motivational outcomes relevant to moderate-to-vigorous physical activity, sedentary time, and, particularly, student engagement in physical education. The analyses identified shared and unique determinants of moderate-to-vigorous physical activity and sedentary time, suggesting that specific intervention strategies may be required to address each outcome.
A Deep Machine Learning Algorithm to Optimize the Forecast of Atmospherics
NASA Astrophysics Data System (ADS)
Russell, A. M.; Alliss, R. J.; Felton, B. D.
Space-based applications from imaging to optical communications are significantly impacted by the atmosphere. Specifically, the occurrence of clouds and optical turbulence can determine whether a mission is a success or a failure. In the case of space-based imaging applications, clouds produce atmospheric transmission losses that can make it impossible for an electro-optical platform to image its target. Hence, accurate predictions of negative atmospheric effects are a high priority in order to facilitate the efficient scheduling of resources. This study seeks to revolutionize our understanding of and our ability to predict such atmospheric events through the mining of data from a high-resolution Numerical Weather Prediction (NWP) model. Specifically, output from the Weather Research and Forecasting (WRF) model is mined using a Random Forest (RF) ensemble classification and regression approach in order to improve the prediction of low cloud cover over the Haleakala summit of the Hawaiian island of Maui. RF techniques have a number of advantages including the ability to capture non-linear associations between the predictors (in this case physical variables from WRF such as temperature, relative humidity, wind speed and pressure) and the predictand (clouds), which becomes critical when dealing with the complex non-linear occurrence of clouds. In addition, RF techniques are capable of representing complex spatial-temporal dynamics to some extent. Input predictors to the WRF-based RF model are strategically selected based on expert knowledge and a series of sensitivity tests. Ultimately, three types of WRF predictors are chosen: local surface predictors, regional 3D moisture predictors and regional inversion predictors. A suite of RF experiments is performed using these predictors in order to evaluate the performance of the hybrid RF-WRF technique. The RF model is trained and tuned on approximately half of the input dataset and evaluated on the other half. The RF approach is validated using in-situ observations of clouds. All of the hybrid RF-WRF experiments demonstrated here significantly outperform the base WRF local low cloud cover forecasts in terms of the probability of detection and the overall bias. In particular, RF experiments that use only regional three-dimensional moisture predictors from the WRF model produce the highest accuracy when compared to RF experiments that use local surface predictors only or regional inversion predictors only. Furthermore, adding multiple types of WRF predictors and additional WRF predictors to the RF algorithm does not necessarily add more value in the resulting forecasts, indicating that it is better to have a small set of meaningful predictors than to have a vast set of indiscriminately-chosen predictors. This work also reveals that the WRF-based RF approach is highly sensitive to the time period over which the algorithm is trained and evaluated. Future work will focus on developing a similar WRF-based RF model for high cloud prediction and expanding the algorithm to two-dimensions horizontally.
More Precise Estimation of Lower-Level Interaction Effects in Multilevel Models.
Loeys, Tom; Josephy, Haeike; Dewitte, Marieke
2018-01-01
In hierarchical data, the effect of a lower-level predictor on a lower-level outcome may often be confounded by an (un)measured upper-level factor. When such confounding is left unaddressed, the effect of the lower-level predictor is estimated with bias. Separating this effect into a within- and between-component removes such bias in a linear random intercept model under a specific set of assumptions for the confounder. When the effect of the lower-level predictor is additionally moderated by another lower-level predictor, an interaction between both lower-level predictors is included into the model. To address unmeasured upper-level confounding, this interaction term ought to be decomposed into a within- and between-component as well. This can be achieved by first multiplying both predictors and centering that product term next, or vice versa. We show that while both approaches, on average, yield the same estimates of the interaction effect in linear models, the former decomposition is much more precise and robust against misspecification of the effects of cross-level and upper-level terms, compared to the latter.
Jones, Deborah J; Forehand, Rex; Rakow, Aaron; Colletti, Christina J M; McKee, Laura; Zalot, Alecia
2008-04-01
The specificity of the association between 2 parenting behaviors (warmth and supervision) and 2 indicators, aggressive behavior and depressive symptoms, of major child outcomes (externalizing problems and internalizing problems) was examined among 196 inner-city African American mothers and their school age children. Given the growing number of African American families affected by HIV/AIDS and demonstrated compromises in parenting associated with maternal infection, the moderating role of maternal HIV/AIDS was also examined. Findings from longitudinal analyses supported the specificity of maternal warmth but not of maternal supervision. Maternal warmth was a stronger predictor of decreases in child aggressive behavior than of decreases in depressive symptoms. In addition, maternal warmth was a stronger predictor of decreases in aggressive behavior than was maternal supervision. Parenting specificity was not moderated by maternal HIV/AIDS. Clinical implications and future research directions are discussed. (c) 2008 APA, all rights reserved.
Predictors of mental health in female teachers.
Seibt, Reingard; Spitzer, Silvia; Druschke, Diana; Scheuch, Klaus; Hinz, Andreas
2013-12-01
Teaching profession is characterised by an above-average rate of psychosomatic and mental health impairment due to work-related stress. The aim of the study was to identify predictors of mental health in female teachers. A sample of 630 female teachers (average age 47 ± 7 years) participated in a screening diagnostic inventory. Mental health was surveyed with the General Health Questionnaire GHQ-12. The following parameters were measured: specific work conditions (teacher-specific occupational history), scales of the Effort-Reward-Imbalance (ERI) Questionnaire as well as cardiovascular risk factors, physical complaints (BFB) and personal factors such as inability to recover (FABA), sense of coherence (SOC) and health behaviour. First, mentally fit (MH(+)) and mentally impaired teachers (MH(-)) were differentiated based on the GHQ-12 sum score (MH(+): < 5; MH(-): ≥ 5); 18% of the teachers showed evidence of mental impairment. There were no differences concerning work-related and cardiovascular risk factors as well as health behaviour between MH(+) and MH(-). Binary logistic regressions identified 4 predictors that showed a significant effect on mental health. The effort-reward-ratio proved to be the most relevant predictor, while physical complaints as well as inability to recover and sense of coherence were identified as advanced predictors (explanation of variance: 23%). Contrary to the expectations, classic work-related factors can hardly contribute to the explanation of mental health. Additionally, cardiovascular risk factors and health behaviour have no relevant influence. However, effort-reward-ratio, physical complaints and personal factors are of considerable influence on mental health in teachers. These relevant predictors should become a part of preventive arrangements for the conservation of teachers' health in the future.
A Project Manager’s Personal Attributes as Predictors for Success
2007-03-01
Northouse (2004) explains that leadership is highly a researched topic with much written. Yet, a definitive description of this phenomenon is difficult to...express because of its complexity. Even though leadership has varied descriptions and conceptualizations, Northouse states that the concept of...characteristic of leadership is not an accurate predictor of performance. Leadership is a complex, multi-faceted attribute ( Northouse , 2004) and specific
Specific Cognitive Predictors of Early Math Problem Solving
ERIC Educational Resources Information Center
Decker, Scott L.; Roberts, Alycia M.
2015-01-01
Development of early math skill depends on a prerequisite level of cognitive development. Identification of specific cognitive skills that are important for math development may not only inform instructional approaches but also inform assessment approaches to identifying children with specific learning problems in math. This study investigated the…
NASA Astrophysics Data System (ADS)
Holmes, K. W.; Kyriakidis, P. C.; Chadwick, O. A.; Matricardi, E.; Soares, J. V.; Roberts, D. A.
2003-12-01
The natural controls on soil variability and the spatial scales at which correlation exists among soil and environmental variables are critical information for evaluating the effects of deforestation. We detect different spatial scales of variability in soil nutrient levels over a large region (hundreds of thousands of km2) in the Amazon, analyze correlations among soil properties at these different scales, and evaluate scale-specific relationships among soil properties and the factors potentially driving soil development. Statistical relationships among physical drivers of soil formation, namely geology, precipitation, terrain attributes, classified soil types, and land cover derived from remote sensing, were included to determine which factors are related to soil biogeochemistry at each spatial scale. Surface and subsurface soil profile data from a 3000 sample database collected in Rond“nia, Brazil, were used to investigate patterns in pH, phosphorus, nitrogen, organic carbon, effective cation exchange capacity, calcium, magnesium, potassium, aluminum, sand, and clay in this environment grading from closed canopy tropical forest to savanna. We focus on pH in this presentation for simplicity, because pH is the single most important soil characteristic for determining the chemical environment of higher plants and soil microbial activity. We determined four spatial scales which characterize integrated patterns of soil chemistry: less than 3 km; 3 to 10 km; 10 to 68 km; and from 68 to 550 km (extent of study area). Although the finest observable scale was fixed by the field sampling density, the coarser scales were determined from relationships in the data through coregionalization modeling, rather than being imposed by the researcher. Processes which affect soils over short distances, such as land cover and terrain attributes, were good predictors of fine scale spatial components of nutrients; processes which affect soils over very large distances, such as precipitation and geology, were better predictors at coarse spatial scales. However, this result may be affected by the resolution of the available predictor maps. Land-cover change exerted a strong influence on soil chemistry at fine spatial scales, and had progressively less of an effect at coarser scales. It is important to note that land cover, and interactions among land cover and the other predictors, continued to be a significant predictor of soil chemistry at every spatial scale up to hundreds of thousands of kilometers.
[Prediction of mortality in patients with acute hepatic failure].
Eremeeva, L F; Berdnikov, A P; Musaeva, T S; Zabolotskikh, I B
2013-01-01
The article deals with a study of 243 patients (from 18 to 65 years old) with acute hepatic failure. Purpose of the study was to evaluate the predictive capability of severity scales APACHE III, SOFA, MODS, Child-Pugh and to identify mortality predictors in patients with acute hepatic failure. Results; The best predictive ability in patients with acute hepatic failure and multiple organ failure had APACHE III and SOFA scales. The strongest mortality predictors were: serum creatinine > 132 mmol/L, fibrinogen < 1.4 g/L, Na < 129 mmol/L.
Mercury methylation by novel microorganisms from new environments
DOE Office of Scientific and Technical Information (OSTI.GOV)
Gilmour, C C; Podar, Mircea; Bullock, Allyson L
2013-01-01
Microbial mercury (Hg) methylation transforms a toxic trace metal into the highly bioaccumulated neurotoxin methylmercury (MeHg). The lack of a genetic marker for microbial MeHg production has prevented a clear understanding of Hg-methylating organism distribution in nature. Recently, a specific gene cluster (hgcAB) was linked to Hg methylation in two bacteria.1 Here we test if the presence of hgcAB orthologues is a reliable predictor of Hg methylation capability in microorganisms, a necessary confirmation for the development of molecular probes for Hg-methylation in nature. Although hgcAB orthologues are rare among all available microbial genomes, organisms are much more phylogenetically and environmentallymore » diverse than previously thought. By directly measuring MeHg production in several bacterial and archaeal strains encoding hgcAB, we confirmed that possessing hgcAB predicts Hg methylation capability. For the first time, we demonstrated Hg methylation in a number of species other than sulfate- (SRB) and iron- (FeRB) reducing bacteria, including methanogens, and syntrophic, acetogenic, and fermentative Firmicutes. Several of these species occupy novel environmental niches for Hg methylation, including methanogenic habitats such as rice paddies, the animal gut, and extremes of pH and salinity. Identification of these organisms as Hg methylators now links methylation to discrete gene markers in microbial communities.« less
Mercury methylation by novel microorganisms from new environments.
Gilmour, Cynthia C; Podar, Mircea; Bullock, Allyson L; Graham, Andrew M; Brown, Steven D; Somenahally, Anil C; Johs, Alex; Hurt, Richard A; Bailey, Kathryn L; Elias, Dwayne A
2013-10-15
Microbial mercury (Hg) methylation transforms a toxic trace metal into the highly bioaccumulated neurotoxin methylmercury (MeHg). The lack of a genetic marker for microbial MeHg production has prevented a clear understanding of Hg-methylating organism distribution in nature. Recently, a specific gene cluster (hgcAB) was linked to Hg methylation in two bacteria.1 Here we test if the presence of hgcAB orthologues is a reliable predictor of Hg methylation capability in microorganisms, a necessary confirmation for the development of molecular probes for Hg-methylation in nature. Although hgcAB orthologues are rare among all available microbial genomes, organisms are much more phylogenetically and environmentally diverse than previously thought. By directly measuring MeHg production in several bacterial and archaeal strains encoding hgcAB, we confirmed that possessing hgcAB predicts Hg methylation capability. For the first time, we demonstrated Hg methylation in a number of species other than sulfate- (SRB) and iron- (FeRB) reducing bacteria, including methanogens, and syntrophic, acetogenic, and fermentative Firmicutes. Several of these species occupy novel environmental niches for Hg methylation, including methanogenic habitats such as rice paddies, the animal gut, and extremes of pH and salinity. Identification of these organisms as Hg methylators now links methylation to discrete gene markers in microbial communities.
Stuart P. Cottrell; Alan R. Graefe
1995-01-01
This paper examines predictors of boater behavior in a specific behavior situation, namely the percentage of raw sewage discharged from recreational vessels in a sanitation pumpout facility on the Chesapeake Bay. Results of a multiple regression analysis show knowledge predicts behavior in specific issue situations. In addition, the more specific the...
Blackstone, Sarah R; Sanghvi, Tina
2018-05-01
The objective of this study was to explore predictors of exclusive breastfeeding (EBF) in Bangladesh using data from 2007, 2011 and 2014, specifically focusing on potential reasons why rates of EBF changed over those time periods. Data on mother/infant pairs with infants <6 months of age were examined at the three time points using the Bangladesh Demographic and Health Survey. The EBF prevalence, changes in EBF since the previous survey and determinants of EBF at each time period were examined using t-tests, χ2 and multilevel logistic regression. The prevalence of EBF was 42.5, 65 and 59.4% in 2007, 2011 and 2014, respectively. The age of the child was significantly associated with EBF across all time points. The largest changes in EBF occurred in the 3- to 5-month age group. Predictors of EBF in this specific age group were similar to overall predictors (e.g. age of the child and region). Participation of the mother in household decisions was a significant predictor in 2014. EBF prevalence in Bangladesh increased between 2007 and 2011 and then decreased between 2011 and 2014. The increase in 2011 may have been the result of widespread initiatives to promote EBF in that time frame. Due to the unexplained decrease in EBF between 2011 and 2014, there is still a need for interventions such as peer counselling, antenatal education and community awareness to promote EBF.
Political ideology and American intergroup discrimination: A patriotism perspective.
L Hoyt, Crystal; Goldin, Aleah
2016-01-01
In this research we demonstrate the powerful role of ingroup favoritism, rather than hostility, in American intergroup biases. Specifically, we take a novel perspective to understanding the relationship between political ideology and discrimination against ethnic-minority Americans by focusing on the role of patriotism. Across three studies, we show that political ideology is a strong predictor of resource allocation biases, and this effect is mediated by American patriotism and not by prejudice or nationalism. Conservatives report greater levels of patriotism than liberals, and patriotism is associated with donating more to American, as opposed to ethnic-minority American, organizations. We further show that the link between patriotism and partiality to the national group is mediated by stronger "American = White" associations. These findings have important implications for intergroup relations and diversity-related policy issues in the United States.
Influence of self-efficacy on compliance to workplace exercise.
Pedersen, Mette Merete; Zebis, Mette Kreutzfeldt; Langberg, Henning; Poulsen, Otto Melchior; Mortensen, Ole Steen; Jensen, Jette Nygaard; Sjøgaard, Gisela; Bredahl, Thomas; Andersen, Lars Louis
2013-09-01
Continuous neck and shoulder pain is a common musculoskeletal complaint. Physical exercise can reduce pain symptoms, but compliance to exercise is a challenge. Exercise-specific self-efficacy has been found to be a predictor of participation in preplanned exercise. Little is known about the influence of exercise-specific self-efficacy on compliance to workplace physical exercise. To determine the influence of exercise-specific self-efficacy on compliance to specific strength exercises during working hours for laboratory technicians. We performed a cluster-randomized controlled trial, including laboratory technicians from two industrial production units in Copenhagen, Denmark. The participants were randomized to supervised specific strength exercises for the neck and shoulder muscles for 20 minutes three times a week (n = 282) or to a reference group (n = 255). The participants answered baseline and follow-up questions regarding self-efficacy and registered all exercises in a diary. Overall compliance to exercises was 45 %. Compliance in company A (private sector) differed significantly between the three self-efficacy groups after 20 weeks. The odds ratio of compliance was 2.37 for moderate versus low self-efficacy, and 2.93 for high versus low self-efficacy. No significant difference was found in company B (public sector) or in the intervention group as a whole. We did not find self-efficacy to be a general statistically significant predictor of compliance to exercises during 20 weeks, but found self-efficacy to be a predictor of compliance in a private sector setting. Workplace-specific differences might be present and should be taken into account.
The cross-cultural variation of predictors of human papillomavirus vaccination intentions.
Lechuga, Julia; Swain, Geoffrey R; Weinhardt, Lance S
2011-02-01
The influence of health beliefs on human papillomavirus (HPV) vaccine acceptability have been extensively documented in past research. However, studies documenting the generalizability of prior findings to culturally diverse participants are lacking. The importance of generalizability studies is underscored by the immense disparities in cervical cancer rates across ethnicities. Moreover, theory in cultural psychology suggests that beliefs derived from personal expectations may not be the strongest predictors of intentions in individuals socialized in collectivist cultures. The purpose of this research was to investigate the strongest predictors of mothers' intentions to vaccinate their daughters across three cultural groups: Hispanic, non-Hispanic white, and African American. One hundred fifty mothers were recruited from Public Health Department clinics in Milwaukee, Wisconsin. Mothers were asked to answer measures that assessed personal and normative predictors of intentions. Results indicated that predictors of vaccination intentions varied cross-culturally. Specifically, culture moderated the influence of norms on intentions. Interventions designed for Hispanics may be more effective if norms, rather than attitudes, are targeted.
Long-term work disability and absenteeism in anxiety and depressive disorders.
Hendriks, Sanne M; Spijker, Jan; Licht, Carmilla M M; Hardeveld, Florian; de Graaf, Ron; Batelaan, Neeltje M; Penninx, Brenda W J H; Beekman, Aartjan T F
2015-06-01
This longitudinal study aims to compare long-term work disability and absenteeism between anxiety and depressive disorders focusing on the effects of different course trajectories (remission, recurrence and chronic course) and specific symptom dimensions (anxiety arousal, avoidance behaviour and depressive mood). We included healthy controls, subjects with a history of - and current anxiety and/or depressive disorders with a paid job (n=1632). The Composite International Diagnostic Interview was used to diagnose anxiety and depressive disorders and to assess course trajectories at baseline, over 2 and 4 years. The World Health Organization Disability Assessment Schedule II and the Health and Labour Questionnaire Short Form were used to measure work disability and absenteeism. Symptom dimensions were measured using the Beck Anxiety Inventory, the Fear Questionnaire and the Inventory for Depressive Symptomatology. A history of - and current anxiety and/or depressive disorders were associated with increasing work disability and absenteeism over 4 years, compared to healthy controls. Long-term work disability and absenteeism were most prominent in comorbid anxiety-depressive disorder, followed by depressive disorders, and lowest in anxiety disorders. A chronic course, anxiety arousal and depressive mood were strong predictors for long-term work disability while baseline psychiatric status, a chronic course and depressive mood were strong predictors for long-term work absenteeism. Results cannot be generalized to other anxiety disorders, such as obsessive compulsive disorder, posttraumatic stress disorder and specific phobias. Self-reported measures of work disability and absenteeism were used. Our results demonstrate that depressive syndromes and symptoms have more impact on future work disability and absenteeism than anxiety, implying that prevention of depression is of major importance. Copyright © 2015 Elsevier B.V. All rights reserved.
Prasad, D S; Kabir, Z; Dash, A K; Das, B C
2012-07-01
To determine the prevalence of metabolic syndrome and to identify predictors for the same, specific to an underdeveloped urban locale of Eastern India. Population-based cross-sectional study, with multistage random sampling technique. Urban city-dwellers in Orissa one of the poorest states of Eastern India bordering a prosperous state of Andhra Pradesh of Southern India. 1178 adults of age 20-80 years randomly selected from 37 electoral wards of the urban city. Definition of Metabolic Syndrome: We followed a unified definition of the metabolic syndrome by joint interim statement of five major scientific organizations - the International Diabetes Federation, the National Heart, Lung, and Blood Institute, the American Heart Association, the World Heart Federation, the International Atherosclerosis Society, and the International Association of the Study of Obesity. Individuals who meet at least three of five clinical criteria of abdominal obesity, hypertriglyceredimia, low HDL, hypertension, and hyperglycemia are diagnosed as having the condition; presence of none of these criteria is mandatory. Explicit cut points are defined for all criteria, except elevated waist circumference, which must rely on population and country-specific definitions. Prevalence and significant predictors of metabolic syndrome. Both descriptive and multivariable logistic regression analyses. Age-standardized prevalence rates of metabolic syndrome were 33.5% overall, 24.9 % in males and 42.3% in females. Older age, female gender, general obesity, inadequate fruit intake, hypercholesterolemia, and middle-to-high socioeconomic status significantly contributed to increased risk of metabolic syndrome. Metabolic syndrome is a significant public health problem even in one of the poorest states of India that needs to be tackled with proven strategies.
Simon-Cereijido, Gabriela; Gutiérrez-Clellen, Vera F.; Sweet, Monica
2012-01-01
We investigated the factors that may help understand the differential rates of language development in the home language (i.e., Spanish) of Latino preschoolers with specific language impairment (SLI). Children were randomly assigned to either bilingual or English-only small group interventions and followed from preschool to kindergarten. Predictors of Spanish growth included the language of intervention, the child’s level of language development or severity, the child’s socio-emotional skills, and the child’s level of English use. Spanish performance outcomes were assessed over time using a series of longitudinal models with baseline and post-treatment measures nested within child. Children demonstrated growth on Spanish outcomes over time. The language of instruction and the child’s level of vocabulary and socio-emotional development at baseline were significant predictors of differences in rates of growth in the home language. Clinicians may need to take into consideration these factors when making clinical recommendations. PMID:24489415
DeLuca, Joseph S; Vaccaro, John; Rudnik, Amalia; Graham, Nicole; Giannicchi, Anna; Yanos, Philip T
2017-08-01
Stigma toward general criminal offenders has been found to be particularly salient among community members who identify as politically conservative; however, less is known about how political identification relates to stigma toward sex offenders. This is a particularly important area of inquiry, given that criminal jurisprudence and politics legitimatize stigmatizing labels attributed to sex offenders through laws and policies that apply specifically to this group. A nonrandom sample ( N = 518) of participants living in the United States was recruited for this survey study. Findings indicated that a specific aspect of conservative political ideology-right-wing authoritarianism (RWA)-significantly predicts negative attitudes and intended social distancing behavior toward sex offenders, even when controlling for other important predictors, such as education and prior contact. RWA was found to be the strongest predictor of negative attitudes and estimations of sex offender recidivism, and also significantly predicted intended social distancing behavior. Implications for addressing stigma toward sex offenders are discussed.
Loving and Leaving Public Health: Predictors of Intentions to Quit Among State Health Agency Workers
Liss-Levinson, Rivka; Bharthapudi, Kiran; Leider, Jonathon P.; Sellers, Katie
2015-01-01
Context: State health agencies play a critical role in protecting and promoting the health and well-being of the people they serve. To be effective, they must maintain a highly skilled, diverse workforce of sufficient size and with proper training. Objective: The goal of this study was to examine demographics, job and workplace environment characteristics, job satisfaction, and reasons for initially joining the public health workforce as predictors of an employee's intentions to leave an organization within the next year. Design: This study used a cross-sectional design. Respondents were selected on the basis of a stratified sampling approach, with 5 geographic (paired Health and Human Services [HHS] regions) as the primary strata. Balanced repeated replication was used as a resampling method for variance estimation. A logistic regression model was used to examine the correlates of intentions to leave one's organization within the next year. The independent variables included several measures of satisfaction, perceptions about the workplace environment, initial reasons for joining public health, gender, age, education, salary, supervisory status, program area, and paired HHS region. Setting and Participants: The sample for this study consisted of 10 246 permanently employed state health agency central office employees who responded to the Public Health Workforce Interests and Needs Survey (PH WINS). Main Outcome Measure: Considering leaving one's organization within the next year. Results: Being a person of color, living in the West (HHS regions 9 and 10), and shorter tenure in one's current position were all associated with higher odds of intentions to leave an organization within the next year. Conversely, greater employee engagement, organizational support, job satisfaction, organization satisfaction, and pay satisfaction were all significant predictors of lower intentions to leave one's organization within the next year. Conclusions: Results from this study suggest several variables related to demographics, job characteristics, workplace environment, and job satisfaction that are predictive of intentions to leave. Future researchers and state health agencies should explore how these findings can be used to help with retention of employees in the state health agency workforce. PMID:26422500
Ramesh, Anuradha; Gelfand, Michele J
2010-09-01
Although turnover is an issue of global concern, paradoxically there have been few studies of turnover across cultures. We investigated the cross-cultural generalizability of the job embeddedness model (Mitchell & Lee, 2001) by examining turnover in an individualistic country (United States) and a collectivistic country (India). Using cross-cultural data from call centers (N = 797), we demonstrated that although organization job embeddedness predicted turnover in both countries, different dimensions of job embeddedness predicted turnover in the United States and India. As hypothesized, on the basis of individualism-collectivism theory, person-job fit was a significant predictor of lower turnover in the United States, whereas person-organization fit, organization links, and community links were significant predictors of lower turnover in India. We also explored whether a newly developed construct of embeddedness-family embeddedness-predicts turnover above and beyond job embeddedness and found initial support for its utility in both the United States and India. Theoretical and practical implications are discussed. Copyright 2010 APA, all rights reserved
Månsson, Johanna; Fellman, Vineta; Stjernqvist, Karin
2015-05-01
The early identification of at-risk extremely preterm (EPT) children could improve long-term outcomes. This study sought to investigate sex differences in developmental outcomes and to identify sex-specific predictors at two and a half years of age. We assessed 217 boys and 181 girls born before 27-week gestation using the Bayley Scales of Infant and Toddler Development, third edition (Bayley-III), as a part of the Extremely Preterm Infants in Sweden Study. Sex-specific differences were calculated. Socio-economic, birth and neonatal factors were calculated separately for boys and girls using regression models. Girls scored significantly higher than boys on all Bayley-III indices. In both sexes, brain injury, long-term ventilator treatment and foreign-born mothers predicted lower scores. Receiving breast milk by hospital discharge predicted higher scores. Severe retinopathy of prematurity was the strongest predictor of cognitive and language deficits in boys. High parental education predicted higher cognitive and language scores in girls, whereas severe bronchopulmonary dysplasia was the strongest predictor of motor deficits. Extreme prematurity seems to affect boys more than girls. Socio-economic and neonatal factors confer similar risks or protections on both sexes, but some variables pose sex-specific risks. An awareness of risk factors may provide the basis for treatment and follow-up guidelines. ©2015 Foundation Acta Paediatrica. Published by John Wiley & Sons Ltd.
Gilstrap, Lauren Gray; Niehaus, Emily; Malhotra, Rajeev; Ton, Van-Khue; Watts, James; Seldin, David C.; Madsen, Joren C.; Semigran, Marc J.
2013-01-01
Background Orthotopic heart transplant (OHT) followed by myeloablative chemotherapy and autologous stem cell transplant (ASCT) has been successful in the treatment of light chain (AL) cardiac amyloidosis. The purpose of this study is to identify predictors of survival to OHT in patients with end stage heart failure due to AL amyloidosis, and compare post-OHT survival of cardiac amyloid patients to that of other cardiomyopathy patients undergoing OHT. Methods From January 2000 to June 2011, 31 patients with end stage heart failure secondary to AL amyloidosis were listed for OHT at Massachusetts General Hospital (MGH). Univariate and multivariate regression analyses identified predictors of survival to OHT. Kaplan-Meier analysis compared survival between MGH amyloidosis patients and the Scientific Registry of Transplant Recipients (SRTR) non-amyloid cardiomyopathy patients. Results Low body mass index (BMI) was the only predictor of survival to OHT in patients with end stage heart failure due to cardiac amyloidosis. Survival of cardiac amyloid patients who died prior to receiving a donor heart was only 63 ± 45 days after listing. Patients who survived to OHT received a donor organ at 53 ± 48 days after listing. Survival of AL amyloidosis patients on the waitlist was less than patients waitlisted for all other non-amyloid diagnoses. The long-term survival of transplanted amyloid patients was no different than the survival of non-amyloid, restrictive (p=0.34), non-amyloid dilated (p=0.34) or all non-amyloid cardiomyopathy patients (p=0.22) in the SRTR database. Conclusions Those that survive to OHT followed by ASCT have a survival rate similar to other cardiomyopathy patients undergoing OHT. However, more than one third of the patients died awaiting OHT. The only predictor of survival to OHT in AL amyloidosis patients was low BMI, which correlated with shorter waitlist time. To optimize the survival of these patients, access to donor organs must be improved. In light chain (AL) amyloidosis, amyloid fibrils derived from clonal lambda or kappa immunoglobulin light chains deposit abnormally in organs. Cardiac involvement is apparent echocardiographically in 60% of AL amyloidosis patients at the time of diagnosis, with clinical evidence of heart failure in 69% of patients.1 The median survival of AL amyloidosis patients presenting with any heart failure symptom is 8.5 months2 and even less for end-stage heart failure pateints. PMID:24200511
Burgason, Kyle A; Thomas, Shaun A; Berthelot, Emily R
2014-02-01
A large number of studies have examined predictors of crime quantities yet considerably less attention has been directed toward exploring patterns in the nature or quality of violence within and across communities. The current study adds to the literature on qualitative variations in violence by assessing the incident and contextual-level predictors of offender gun use and physical injuries sustained by victims of robbery and aggravated assault. Specifically, we examine incident-level data from the National Incident Based Reporting System in conjunction with contextual-level data on the cities in which the incidents occurred. We use hierarchical linear and nonlinear modeling techniques to explore variations in predictors of offender gun use and extent of victim injury. Supporting cultural effects explicated by Anderson, results reveal certain individual-level predictors are conditioned by community characteristics.
A Cryptogenic Case of Fulminant Fibrosing Organizing Pneumonia
Kobayashi, Takehiko; Kitaichi, Masanori; Tachibana, Kazunobu; Kishimoto, Yutaro; Inoue, Yasushi; Kagawa, Tomoko; Maekura, Toshiya; Sugimoto, Chikatoshi; Arai, Toru; Akira, Masanori; Inoue, Yoshikazu
2017-01-01
Cryptogenic organizing pneumonia (COP) generally responds well to corticosteroids with a favorable outcome. Rare cases of organizing pneumonia are rapidly progressive. Yousem et al. studied pathologic predictors of idiopathic bronchiolitis obliterans organizing pneumonia/COP with an unfavorable prognosis. Beardsley and Rassl proposed the name fibrosing organizing pneumonia (FOP). A 74-year-old female non-smoker presented with a 2-week history of dry cough followed by dyspnea and a fever. The clinical course was fulminant, but we successfully performed bronchoscopy. After the diagnosis of FOP, we treated the patient with mechanical ventilation and high-doses of steroids/immunosuppressants, which improved the disease. PMID:28502934
Kitis, M; Karanfil, T; Kilduff, J E; Wigton, A
2001-01-01
Five natural waters with a broad range of DOC concentrations were fractionated using various coal- and wood-based granular activated carbons (GAC) and alum coagulation. Adsorption and alum coagulation fractionated NOM solutions by preferentially removing components having high specific ultraviolet absorbance (SUVA). UV absorbing fractions of NOM were found to be the major contributors to DBP formation. SUVA appears to be an accurate predictor of reactivity with chlorine in terms of DBP yield; however, it was also found that low-SUVA components of NOM have higher bromine incorporation. SUVA has promise as a parameter for on-line monitoring and control of DBP formation in practical applications; however, the effects of bromide concentration may also need to be considered. Understanding how reactivity is correlated to SUVA may allow utilities to optimize the degree of treatment required to comply with DBP regulations. The reactive components that require removal, and the degree of treatment necessary to accomplish this removal, may be directly obtained from the relationship between SUVA removal and the degree of treatment (e.g., alum dose).
Regalia, Kirsten; Zheng, Patricia; Sillau, Stefan; Aggarwal, Anuj; Bellevue, Oliver; Fix, Oren K.; Prinz, Jennifer; Dunn, Susan; Biggins, Scott W.
2014-01-01
Background Transplant candidate caregivers (TCCs) are an under-utilized but potentially devoted pool of advocates who themselves may be recruited to register for deceased organ donation. Aim To assess and compare recruitment barriers to deceased donor registration efforts in TCCs and health fair attendees (HFAs). Methods A 42-item questionnaire assessing willingness to register as an organ donor and perceptions and knowledge about organ donation was administered to 452 participants (174 in Denver, 278 in San Francisco). Logistic regression, stratified by study site, was used to assess associations between explanatory variables and willingness to register as an organ donor. Results In Denver, 83% of TCCs vs 68% of HFAs indicated a willingness to register (p = 0.03). Controlling for study group (TCC vs HFA), predictors of willingness to register were female gender (OR 2.4), Caucasian race (OR 2.3), college graduate (OR 11.1), married (OR 2.4) and higher positive perception of organ donation (OR 1.2), each p<0.05. In San Francisco, 58% of TCCs vs 70% of HFAs indicated a willingness to register (p = 0.03). Controlling for study group (TCC vs HFA), predictors of willingness to register were Caucasian race (OR 3.5), college graduate (OR 2.2), married (OR 1.9), higher knowledge (OR 1.6) and higher positive perception of organ donation (OR 1.2), each p<0.05. In both locales, Caucasians were more likely to have positive perceptions about organ donation and were more willing to register. Conclusions Demographic characteristics, not personal connection to a transplant candidate, explain willingness to register as an organ donor. PMID:24519521
Rio, Alan; Whelan, Kevin; Goff, Louise; Reidlinger, Dianne Patricia; Smeeton, Nigel
2013-01-11
Refeeding syndrome is a potentially life-threatening condition characterised by severe intracellular electrolyte shifts, acute circulatory fluid overload and organ failure. The initial symptoms are non-specific but early clinical features are severely low-serum electrolyte concentrations of potassium, phosphate or magnesium. Risk factors for the syndrome include starvation, chronic alcoholism, anorexia nervosa and surgical interventions that require lengthy periods of fasting. The causes of the refeeding syndrome are excess or unbalanced enteral, parenteral or oral nutritional intake. Prevention of the syndrome includes identification of individuals at risk, controlled hypocaloric nutritional intake and supplementary electrolyte replacement. To determine the occurrence of refeeding syndrome in adults commenced on artificial nutrition support. Prospective cohort study. Large, single site university teaching hospital. Recruitment period 2007-2009. 243 adults started on artificial nutrition support for the first time during that admission recruited from wards and intensive care. occurrence of the refeeding syndrome. Secondary outcome: analysis of the risk factors which predict the refeeding syndrome. Tertiary outcome: mortality due to refeeding syndrome and all-cause mortality. 133 participants had one or more of the following risk factors: body mass index <16-18.5≥(kg/m(2)), unintentional weight loss >15% in the preceding 3-6 months, very little or no nutritional intake >10 days, history of alcohol or drug abuse and low baseline levels of serum potassium, phosphate or magnesium prior to recruitment. Poor nutritional intake for more than 10 days, weight loss >15% prior to recruitment and low-serum magnesium level at baseline predicted the refeeding syndrome with a sensitivity of 66.7%: specificity was >80% apart from weight loss of >15% which was 59.1%. Baseline low-serum magnesium was an independent predictor of the refeeding syndrome (p=0.021). Three participants (2% 3/243) developed severe electrolyte shifts, acute circulatory fluid overload and disturbance to organ function following artificial nutrition support and were diagnosed with refeeding syndrome. There were no deaths attributable to the refeeding syndrome, but (5.3% 13/243) participants died during the feeding period and (28% 68/243) died during hospital admission. Death of these participants was due to cerebrovascular accident, traumatic injury, respiratory failure, organ failure or end-of-life causes. Refeeding syndrome was a rare, survivable phenomenon that occurred during hypocaloric nutrition support in participants identified at risk. Independent predictors for refeeding syndrome were starvation and baseline low-serum magnesium concentration. Intravenous carbohydrate infusion prior to artificial nutrition support may have precipitated the onset of the syndrome.
Cognitive components of a mathematical processing network in 9-year-old children.
Szűcs, Dénes; Devine, Amy; Soltesz, Fruzsina; Nobes, Alison; Gabriel, Florence
2014-07-01
We determined how various cognitive abilities, including several measures of a proposed domain-specific number sense, relate to mathematical competence in nearly 100 9-year-old children with normal reading skill. Results are consistent with an extended number processing network and suggest that important processing nodes of this network are phonological processing, verbal knowledge, visuo-spatial short-term and working memory, spatial ability and general executive functioning. The model was highly specific to predicting arithmetic performance. There were no strong relations between mathematical achievement and verbal short-term and working memory, sustained attention, response inhibition, finger knowledge and symbolic number comparison performance. Non-verbal intelligence measures were also non-significant predictors when added to our model. Number sense variables were non-significant predictors in the model and they were also non-significant predictors when entered into regression analysis with only a single visuo-spatial WM measure. Number sense variables were predicted by sustained attention. Results support a network theory of mathematical competence in primary school children and falsify the importance of a proposed modular 'number sense'. We suggest an 'executive memory function centric' model of mathematical processing. Mapping a complex processing network requires that studies consider the complex predictor space of mathematics rather than just focusing on a single or a few explanatory factors.
Cognitive components of a mathematical processing network in 9-year-old children
Szűcs, Dénes; Devine, Amy; Soltesz, Fruzsina; Nobes, Alison; Gabriel, Florence
2014-01-01
We determined how various cognitive abilities, including several measures of a proposed domain-specific number sense, relate to mathematical competence in nearly 100 9-year-old children with normal reading skill. Results are consistent with an extended number processing network and suggest that important processing nodes of this network are phonological processing, verbal knowledge, visuo-spatial short-term and working memory, spatial ability and general executive functioning. The model was highly specific to predicting arithmetic performance. There were no strong relations between mathematical achievement and verbal short-term and working memory, sustained attention, response inhibition, finger knowledge and symbolic number comparison performance. Non-verbal intelligence measures were also non-significant predictors when added to our model. Number sense variables were non-significant predictors in the model and they were also non-significant predictors when entered into regression analysis with only a single visuo-spatial WM measure. Number sense variables were predicted by sustained attention. Results support a network theory of mathematical competence in primary school children and falsify the importance of a proposed modular ‘number sense’. We suggest an ‘executive memory function centric’ model of mathematical processing. Mapping a complex processing network requires that studies consider the complex predictor space of mathematics rather than just focusing on a single or a few explanatory factors. PMID:25089322
MultiP-Apo: A Multilabel Predictor for Identifying Subcellular Locations of Apoptosis Proteins
Li, Hui; Wang, Rong; Gan, Yong
2017-01-01
Apoptosis proteins play an important role in the mechanism of programmed cell death. Predicting subcellular localization of apoptosis proteins is an essential step to understand their functions and identify drugs target. Many computational prediction methods have been developed for apoptosis protein subcellular localization. However, these existing works only focus on the proteins that have one location; proteins with multiple locations are either not considered or assumed as not existing when constructing prediction models, so that they cannot completely predict all the locations of the apoptosis proteins with multiple locations. To address this problem, this paper proposes a novel multilabel predictor named MultiP-Apo, which can predict not only apoptosis proteins with single subcellular location but also those with multiple subcellular locations. Specifically, given a query protein, GO-based feature extraction method is used to extract its feature vector. Subsequently, the GO feature vector is classified by a new multilabel classifier based on the label-specific features. It is the first multilabel predictor ever established for identifying subcellular locations of multilocation apoptosis proteins. As an initial study, MultiP-Apo achieves an overall accuracy of 58.49% by jackknife test, which indicates that our proposed predictor may become a very useful high-throughput tool in this area. PMID:28744305
MultiP-Apo: A Multilabel Predictor for Identifying Subcellular Locations of Apoptosis Proteins.
Wang, Xiao; Li, Hui; Wang, Rong; Zhang, Qiuwen; Zhang, Weiwei; Gan, Yong
2017-01-01
Apoptosis proteins play an important role in the mechanism of programmed cell death. Predicting subcellular localization of apoptosis proteins is an essential step to understand their functions and identify drugs target. Many computational prediction methods have been developed for apoptosis protein subcellular localization. However, these existing works only focus on the proteins that have one location; proteins with multiple locations are either not considered or assumed as not existing when constructing prediction models, so that they cannot completely predict all the locations of the apoptosis proteins with multiple locations. To address this problem, this paper proposes a novel multilabel predictor named MultiP-Apo, which can predict not only apoptosis proteins with single subcellular location but also those with multiple subcellular locations. Specifically, given a query protein, GO-based feature extraction method is used to extract its feature vector. Subsequently, the GO feature vector is classified by a new multilabel classifier based on the label-specific features. It is the first multilabel predictor ever established for identifying subcellular locations of multilocation apoptosis proteins. As an initial study, MultiP-Apo achieves an overall accuracy of 58.49% by jackknife test, which indicates that our proposed predictor may become a very useful high-throughput tool in this area.
Muazzam, Sana; Nasrullah, Muazzam
2011-08-01
Gross Domestic Product (GDP) and unemployment has a strong documented impact on injury mortality. The aim of our study is to investigate the relationship of GDP per capita and unemployment with gender- and cause-specific injury mortalities in the member nations of Organization for Economic Cooperation and Development (OECD). Country-based data on injury mortality per 100,000 population, including males and females aged 1-74, for the 4 year period 1996-1999, were gathered from the World Health Organization's Statistical Information System. We selected fourteen cause-specific injury mortalities. Data on GDP, unemployment rate and population growth were taken from World Development Indicators. GDP and unemployment rate per 100 separately were regressed on total and cause-specific injury mortality rate per 100,000 for males and females. Overall in the OECD countries, GDP per capita increased 12.5% during 1996-1999 (P = 0.03) where as unemployment rate decreased by 12.3% (P = 0.05). Among males, most cause-specific injury mortality rates decreased with increasing GDP except motor vehicle traffic crashes (MTC) that increased with increasing GDP (coefficient = 0.75; P < 0.001). Similar trend was found in females, except suicidal injury mortalities that also increased with increasing GDP (coefficient = 0.31; P = 0.04). When we modeled cause-specific injury mortality rates with unemployment, injuries due to firearm missiles (coefficient = 0.53; P < 0.001), homicide (coefficient = 0.36; P < 0.001), and other violence (coefficient = 0.41; P < 0.001) increased with increase in unemployment rate among males. However, among females only accidental falls (coefficient = 0.36; P = 0.01) were found significantly associated with increasing unemployment rate. GDP is more related to cause-specific injury mortality than unemployment. Injury mortality does not relate similarly to each diagnosis-specific cause among males and females. Further research on causation with more predictors is needed.
Heino, Jani; Soininen, Janne; Alahuhta, Janne; Lappalainen, Jyrki; Virtanen, Risto
2017-01-01
Metacommunity patterns and underlying processes in aquatic organisms have typically been studied within a drainage basin. We examined variation in the composition of six freshwater organismal groups across various drainage basins in Finland. We first modelled spatial structures within each drainage basin using Moran eigenvector maps. Second, we partitioned variation in community structure among three groups of predictors using constrained ordination: (1) local environmental variables, (2) spatial variables, and (3) dummy variable drainage basin identity. Third, we examined turnover and nestedness components of multiple-site beta diversity, and tested the best fit patterns of our datasets using the "elements of metacommunity structure" analysis. Our results showed that basin identity and local environmental variables were significant predictors of community structure, whereas within-basin spatial effects were typically negligible. In half of the organismal groups (diatoms, bryophytes, zooplankton), basin identity was a slightly better predictor of community structure than local environmental variables, whereas the opposite was true for the remaining three organismal groups (insects, macrophytes, fish). Both pure basin and local environmental fractions were, however, significant after accounting for the effects of the other predictor variable sets. All organismal groups exhibited high levels of beta diversity, which was mostly attributable to the turnover component. Our results showed consistent Clementsian-type metacommunity structures, suggesting that subgroups of species responded similarly to environmental factors or drainage basin limits. We conclude that aquatic communities across large scales are mostly determined by environmental and basin effects, which leads to high beta diversity and prevalence of Clementsian community types.
Clinical predictors of interpersonal functioning in patients with bipolar disorder.
Rosa, Adriane R; Bonnin, Caterina Mar; Mazzarini, Luis; Amann, Benedikt; Kapczinski, Flavio P; Vieta, Eduard
2009-04-01
Functional impairment has been repeatedly reported in patients with bipolar disorder even during clinical remission. Less is known about specific domains, such as interpersonal relationships. The aim of this study was to identify clinical predictors of poor interpersonal relationships. Using a specific subscale of the Functioning Assessment Short Test (FAST), we assessed the interpersonal relationships of a sample of 71 euthymic bipolar (Hamilton Depression Rating Scale [HAM-D] < 8; Young Mania Rating Scale [YMRS] < 5) patients. The sample was divided into two categories: low vs. high level functioning in interpersonal relationships according to the median of the sample. Multivariate analyses were applied to identify significant predictors of interpersonal functioning. Age (p=0.026), the number of previous depressive and mixed episodes and HAM-D scores differed significantly between the two groups (p<0.05). For manic episodes, only a tendency was detected (p=0.064). After running multivariate analyses, age (p=0.026), depressive symptoms (p=0.055) and the number of previous manic episodes (p=0.033) could be considered predictors of poor interpersonal functioning. The model predicted 83.3% of the variance (R=0.59; gl=1; p<0.001). Our results indicate a link between greater impairment in interpersonal relationships and being older and having more residual symptoms and a higher number of previous manic episodes. Patients with these features should be carefully monitored and specific psychosocial interventions should be implemented to improve their outcome. Copyright © 2009 Sociedad Española de Psiquiatría and Sociedad Española de Psiquiatría Biológica. Published by Elsevier Espana. All rights reserved.
Empirical constrained Bayes predictors accounting for non-detects among repeated measures.
Moore, Reneé H; Lyles, Robert H; Manatunga, Amita K
2010-11-10
When the prediction of subject-specific random effects is of interest, constrained Bayes predictors (CB) have been shown to reduce the shrinkage of the widely accepted Bayes predictor while still maintaining desirable properties, such as optimizing mean-square error subsequent to matching the first two moments of the random effects of interest. However, occupational exposure and other epidemiologic (e.g. HIV) studies often present a further challenge because data may fall below the measuring instrument's limit of detection. Although methodology exists in the literature to compute Bayes estimates in the presence of non-detects (Bayes(ND)), CB methodology has not been proposed in this setting. By combining methodologies for computing CBs and Bayes(ND), we introduce two novel CBs that accommodate an arbitrary number of observable and non-detectable measurements per subject. Based on application to real data sets (e.g. occupational exposure, HIV RNA) and simulation studies, these CB predictors are markedly superior to the Bayes predictor and to alternative predictors computed using ad hoc methods in terms of meeting the goal of matching the first two moments of the true random effects distribution. Copyright © 2010 John Wiley & Sons, Ltd.
An examination of hospital satisfaction with blood suppliers.
Carden, Robert; DelliFraine, Jami L
2004-11-01
The purpose of this study was to identify factors that predict overall hospital satisfaction with blood suppliers. The data for this study came from a 2001 satisfaction survey of hospital blood bank managers conducted by the National Blood Data Resource Center. A total of 1325 blood-utilizing hospitals were included in the final study database. The measurement of hospital satisfaction with its blood supplier encompasses the five composites of the SERVQUAL model. The five composites are 1) tangibles, 2) reliability, 3) responsiveness, 4) assurance, and 5) empathy. Linear regression was performed with overall hospital satisfaction as the dependent variable and the five composites of the SERVQUAL model and control variables as predictors of overall hospital satisfaction with blood suppliers. Significant predictors of hospital satisfaction with blood suppliers are satisfaction with medical and clinical support provided by the blood center, satisfaction with the routine delivery schedule, and price (service fee) of red cells. Prior studies have demonstrated the importance of customer satisfaction to organizations. As organizations, blood centers can benefit from improved satisfaction from their hospital customers. Blood center strategies that focus on improving these three predictors of overall hospital satisfaction with primary blood suppliers will be the most likely to improve and/or maintain hospital customer satisfaction with primary blood suppliers.
De Soete, Wouter; Debaveye, Sam; De Meester, Steven; Van der Vorst, Geert; Aelterman, Wim; Heirman, Bert; Cappuyns, Philippe; Dewulf, Jo
2014-10-21
The pharmaceutical and fine chemical industries are eager to strive toward innovative products and technologies. This study first derives hotspots in resource consumption of 2839 Basic Operations in 40 Active Pharmaceutical Ingredient synthesis steps through Exergetic Life Cycle Assessment (ELCA). Second, since companies are increasingly obliged to quantify the environmental sustainability of their products, two alternative ways of simplifying (E)LCA are discussed. The usage of averaged product group values (R(2) = 3.40 × 10(-30)) is compared with multiple linear regression models (R(2) = 8.66 × 10(-01)) in order to estimate resource consumption of synthesis steps. An optimal set of predictor variables is postulated to balance model complexity and embedded information with usability and capability of merging models with existing Enterprise Resource Planning (ERP) data systems. The amount of organic solvents used, molar efficiency, and duration of a synthesis step were shown to be the most significant predictor variables. Including additional predictor variables did not contribute to the predictive power and eventually weakens the model interpretation. Ideally, an organization should be able to derive its environmental impact from readily available ERP data, linking supply chains back to the cradle of resource extraction, excluding the need for an approximation with product group averages.
A domain-centric solution to functional genomics via dcGO Predictor
2013-01-01
Background Computational/manual annotations of protein functions are one of the first routes to making sense of a newly sequenced genome. Protein domain predictions form an essential part of this annotation process. This is due to the natural modularity of proteins with domains as structural, evolutionary and functional units. Sometimes two, three, or more adjacent domains (called supra-domains) are the operational unit responsible for a function, e.g. via a binding site at the interface. These supra-domains have contributed to functional diversification in higher organisms. Traditionally functional ontologies have been applied to individual proteins, rather than families of related domains and supra-domains. We expect, however, to some extent functional signals can be carried by protein domains and supra-domains, and consequently used in function prediction and functional genomics. Results Here we present a domain-centric Gene Ontology (dcGO) perspective. We generalize a framework for automatically inferring ontological terms associated with domains and supra-domains from full-length sequence annotations. This general framework has been applied specifically to primary protein-level annotations from UniProtKB-GOA, generating GO term associations with SCOP domains and supra-domains. The resulting 'dcGO Predictor', can be used to provide functional annotation to protein sequences. The functional annotation of sequences in the Critical Assessment of Function Annotation (CAFA) has been used as a valuable opportunity to validate our method and to be assessed by the community. The functional annotation of all completely sequenced genomes has demonstrated the potential for domain-centric GO enrichment analysis to yield functional insights into newly sequenced or yet-to-be-annotated genomes. This generalized framework we have presented has also been applied to other domain classifications such as InterPro and Pfam, and other ontologies such as mammalian phenotype and disease ontology. The dcGO and its predictor are available at http://supfam.org/SUPERFAMILY/dcGO including an enrichment analysis tool. Conclusions As functional units, domains offer a unique perspective on function prediction regardless of whether proteins are multi-domain or single-domain. The 'dcGO Predictor' holds great promise for contributing to a domain-centric functional understanding of genomes in the next generation sequencing era. PMID:23514627
NASA Astrophysics Data System (ADS)
Obrentz, Shari B.
As the number of college students studying science continues to grow, it is important to identify variables that predict their success. The literature indicates that motivation and learning strategy use facilitate science success. Research findings show these variables can change throughout a semester and differ by performance level, gender and ethnicity. However, significant predictors of performance vary by research study and by group. The current study looks beyond the traditional predictors of grade point averages, SAT scores and completion of advanced placement (AP) chemistry to consider a comprehensive set of variables not previously investigated within the same study. Research questions address the predictive ability of motivation constructs and learning strategies for success in introductory college chemistry, how these variables change throughout a semester, and how they differ by performance level, gender and ethnicity. Participants were 413 introductory college chemistry students at a highly selective university in the southeast. Participants completed the Chemistry Motivation Questionnaire (CMQ) and Learning Strategies section of the Motivated Strategies for Learning Questionnaire (MSLQ) three times during the semester. Self-efficacy, effort regulation, assessment anxiety and previous achievement were significant predictors of chemistry course success. Levels of motivation changed with significant decreases in self-efficacy and increases in personal relevance and assessment anxiety. Learning strategy use changed with significant increases in elaboration, critical thinking, metacognitive self-regulation skills and peer learning, and significant decreases in time and study management and effort regulation. High course performers reported the highest levels of motivation and learning strategy use. Females reported lower intrinsic motivation, personal relevance, self-efficacy and critical thinking, and higher assessment anxiety, rehearsal and organization. Self-efficacy predicted performance for males and females, while self-determination, help-seeking and time and study environment also predicted female success. Few differences in these variables were found between ethnicity groups. Self-efficacy positively predicted performance for Asians and Whites, and metacognitive self-regulation skills negatively predicted success for Other students. The results have implications for college science instructors who are encouraged to collect and utilize data on students' motivation and learning strategy use, promote both in science classes, and design interventions for specific students who need more support.
Deeg, Dorly J.H.; Versfeld, Niek J.; Heymans, Martijn W.; Naylor, Graham; Kramer, Sophia E.
2017-01-01
This study aimed to determine the predictors of entering a hearing aid evaluation period (HAEP) using a prospective design drawing on the health belief model and the transtheoretical model. In total, 377 older persons who presented with hearing problems to an Ear, Nose, and Throat specialist (n = 110) or a hearing aid dispenser (n = 267) filled in a baseline questionnaire. After 4 months, it was determined via a telephone interview whether or not participants had decided to enter a HAEP. Multivariable logistic regression analyses were applied to determine which baseline variables predicted HAEP status. A priori, candidate predictors were divided into ‘likely’ and ‘novel’ predictors based on the literature. The following variables turned out to be significant predictors: more expected hearing aid benefits, greater social pressure, and greater self-reported hearing disability. In addition, greater hearing loss severity and stigma were predictors in women but not in men. Of note, the predictive effect of self-reported hearing disability was modified by readiness such that with higher readiness, the positive predictive effect became stronger. None of the ‘novel’ predictors added significant predictive value. The results support the notion that predictors of hearing aid uptake are also predictive of entering a HAEP. This study shows that some of these predictors appear to be gender specific or are dependent on a person’s readiness for change. After assuring the external validity of the predictors, an important next step would be to develop prediction rules for use in clinical practice, so that older persons’ hearing help-seeking journey can be facilitated. PMID:29237333
Uncertainties of statistical downscaling from predictor selection: Equifinality and transferability
NASA Astrophysics Data System (ADS)
Fu, Guobin; Charles, Stephen P.; Chiew, Francis H. S.; Ekström, Marie; Potter, Nick J.
2018-05-01
The nonhomogeneous hidden Markov model (NHMM) statistical downscaling model, 38 catchments in southeast Australia and 19 general circulation models (GCMs) were used in this study to demonstrate statistical downscaling uncertainties caused by equifinality to and transferability. That is to say, there could be multiple sets of predictors that give similar daily rainfall simulation results for both calibration and validation periods, but project different amounts (or even directions of change) of rainfall changing in the future. Results indicated that two sets of predictors (Set 1 with predictors of sea level pressure north-south gradient, u-wind at 700 hPa, v-wind at 700 hPa, and specific humidity at 700 hPa and Set 2 with predictors of sea level pressure north-south gradient, u-wind at 700 hPa, v-wind at 700 hPa, and dewpoint temperature depression at 850 hPa) as inputs to the NHMM produced satisfactory results of seasonal rainfall in comparison with observations. For example, during the model calibration period, the relative errors across the 38 catchments ranged from 0.48 to 1.76% with a mean value of 1.09% for the predictor Set 1, and from 0.22 to 2.24% with a mean value of 1.16% for the predictor Set 2. However, the changes of future rainfall from NHMM projections based on 19 GCMs produced projections with a different sign for these two different sets of predictors: Set 1 predictors project an increase of future rainfall with magnitudes depending on future time periods and emission scenarios, but Set 2 predictors project a decline of future rainfall. Such divergent projections may present a significant challenge for applications of statistical downscaling as well as climate change impact studies, and could potentially imply caveats in many existing studies in the literature.
Austin, Megan J Murphy; Dardis, Christina M; Wilson, Milo S; Gidycz, Christine A; Berkowitz, Alan D
2016-01-01
This study prospectively examined the impact of men's own attitudes and behaviors and perceptions of peer attitudes and behaviors on intentions and engagement in prosocial bystander behavior. Undergraduate men completed surveys at baseline and 4- and 7-month follow-ups. Men's perceptions of peer attitudes and behaviors and their own attitudes and behaviors were both important predictors of intentions. However, men's own attitudes and behaviors appeared to be more robustly predictive of behavior. Intentions to engage in bystander behavior were not predictive of behavior. Results support two specific areas of bystander intervention programming addressing misperceptions of social norms and personal attitudes and behaviors. © The Author(s) 2015.
Pasta, Salvatore; Rinaudo, Antonino; Luca, Angelo; Pilato, Michele; Scardulla, Cesare; Gleason, Thomas G.; Vorp, David A.
2014-01-01
The aortic dissection (AoD) of an ascending thoracic aortic aneurysm (ATAA) initiates when the hemodynamic loads exerted on the aneurysmal wall overcome the adhesive forces holding the elastic layers together. Parallel coupled, two-way fluid–structure interaction (FSI) analyses were performed on patient-specific ATAAs obtained from patients with either bicuspid aortic valve (BAV) or tricuspid aortic valve (TAV) to evaluate hemodynamic predictors and wall stresses imparting aneurysm enlargement and AoD. Results showed a left-handed circumferential flow with slower-moving helical pattern in the aneurysm's center for BAV ATAAs whereas a slight deviation of the blood flow toward the anterolateral region of the ascending aorta was observed for TAV ATAAs. Blood pressure and wall shear stress were found key hemodynamic predictors of aneurysm dilatation, and their dissimilarities are likely associated to the morphological anatomy of the aortic valve. We also observed discontinues, wall stresses on aneurysmal aorta, which was modeled as a composite with two elastic layers (i.e., inhomogeneity of vessel structural organization). This stress distribution was caused by differences on elastic material properties of aortic layers. Wall stress distribution suggests AoD just above sinotubular junction. Moreover, abnormal flow and lower elastic material properties that are likely intrinsic in BAV individuals render the aneurysm susceptible to the initiation of AoD. PMID:23664314
Indoor environmental quality in French dwellings and building characteristics
NASA Astrophysics Data System (ADS)
Langer, Sarka; Ramalho, Olivier; Derbez, Mickaël; Ribéron, Jacques; Kirchner, Severine; Mandin, Corinne
2016-03-01
A national survey on indoor environmental quality covering 567 residences in mainland France was performed during 2003-2005. The measured parameters were temperature, relative humidity, CO2, and the indoor air pollutants: fourteen individual volatile organic compounds (VOC), four aldehydes and particulate matter PM10 and PM2.5. The measured indoor concentrations were analyzed for correlations with the building characteristics: type of dwelling, period of construction, dwelling location, type of ventilation system, building material, attached garage and retrofitting. The median night time air exchange rate (AER) for all dwellings was 0.44 h-1. The night time AER was higher in apartments (median = 0.49 h-1) than in single-family houses (median = 0.41 h-1). Concentration of formaldehyde was approximately 30% higher in dwellings built after 1990 compared with older ones; it was higher in dwellings with mechanical ventilation and in concrete buildings. The VOC concentrations depended on the building characteristics to various extents. The sampling season influenced the majority of the indoor climate parameters and the concentrations of the air pollutants to a higher degree than the building characteristics. Multivariate linear regression models revealed that the indoor-outdoor difference in specific humidity, a proxy for number of occupants and their indoor activities, remained a significant predictor for most gaseous and particulate air pollutants. The other strong predictors were outdoor concentration, smoking, attached garage and AER (in descending order).
The science of quality improvement implementation: developing capacity to make a difference.
Alexander, Jeffrey A; Hearld, Larry R
2011-12-01
Quality improvement (QI) holds promise to improve quality of care; however, organizations often struggle with its implementation. It has been recommended that practitioners, managers, and researchers attempt to increase systematic understanding of the structure, practices, and context of organizations that facilitate or impede the implementation of QI innovations. To critically review the empirical research on QI implementation in health care organizations. A literature review of 107 studies that examined the implementation of QI innovations in health care organizations. Studies were classified into 4 groups based on the types of predictors that were assumed to affect implementation (content of QI innovation, organizational processes, internal context, and external context). Internal context and organizational processes were the most frequently studied categories. External context and organizational process categories exhibited the highest rate of positive effects on QI implementation. The review revealed several important gaps in the QI implementation literature. Studies often lacked clear conceptual frameworks to guide the research, which may hinder efforts to compare relationships across studies. Studies also tended to adopt designs that were narrowly focused on independent effects of predictors and did not include holistic frameworks to capture interactions among the many factors involved in implementation. Other design limitations included the use of cross-sectional designs, single-source data collection, and potential selection bias among study participants.
Burns, Douglas A.; Aiken, George R.; Bradley, Paul M.; Journey, Celeste A.; Schelker, Jakob
2013-01-01
The Adirondack region of New York has been identified as a hot spot where high methylmercury concentrations are found in surface waters and biota, yet mercury (Hg) concentrations vary widely in this region. We collected stream and groundwater samples for Hg and organic carbon analyses across the upper Hudson River, a 493 km2 basin in the central Adirondacks to evaluate and model the sources of variation in filtered total Hg (FTHg) concentrations. Variability in FTHg concentrations during the growing seasons (May-Oct) of 2007-2009 in Fishing Brook, a 66-km2 sub-basin, was better explained by specific ultra-violet absorbance at 254 nm (SUVA254), a measure of organic carbon aromaticity, than by dissolved organic carbon (DOC) concentrations, a commonly used Hg indicator. SUVA254 was a stronger predictor of FTHg concentrations during the growing season than during the dormant season. Multiple linear regression models that included SUVA254 values and DOC concentrations could explain 75 % of the variation in FTHg concentrations on an annual basis and 84 % during the growing season. A multiple linear regression landscape modeling approach applied to 27 synoptic sites across the upper Hudson basin found that higher SUVA254 values are associated with gentler slopes, and greater riparian area, and lower SUVA254 values are associated with an increasing influence of open water. We hypothesize that the strong Hg?SUVA254 relation in this basin reflects distinct patterns of FTHg and SUVA254 that are characteristic of source areas that control the mobilization of Hg to surface waters, and that the seasonal influence of these source areas varies in this heterogeneous basin landscape.
Jalan, Rajiv; Saliba, Faouzi; Pavesi, Marco; Amoros, Alex; Moreau, Richard; Ginès, Pere; Levesque, Eric; Durand, Francois; Angeli, Paolo; Caraceni, Paolo; Hopf, Corinna; Alessandria, Carlo; Rodriguez, Ezequiel; Solis-Muñoz, Pablo; Laleman, Wim; Trebicka, Jonel; Zeuzem, Stefan; Gustot, Thierry; Mookerjee, Rajeshwar; Elkrief, Laure; Soriano, German; Cordoba, Joan; Morando, Filippo; Gerbes, Alexander; Agarwal, Banwari; Samuel, Didier; Bernardi, Mauro; Arroyo, Vicente
2014-11-01
Acute-on-chronic liver failure (ACLF) is a frequent syndrome (30% prevalence), characterized by acute decompensation of cirrhosis, organ failure(s) and high short-term mortality. This study develops and validates a specific prognostic score for ACLF patients. Data from 1349 patients included in the CANONIC study were used. First, a simplified organ function scoring system (CLIF Consortium Organ Failure score, CLIF-C OFs) was developed to diagnose ACLF using data from all patients. Subsequently, in 275 patients with ACLF, CLIF-C OFs and two other independent predictors of mortality (age and white blood cell count) were combined to develop a specific prognostic score for ACLF (CLIF Consortium ACLF score [CLIF-C ACLFs]). A concordance index (C-index) was used to compare the discrimination abilities of CLIF-C ACLF, MELD, MELD-sodium (MELD-Na), and Child-Pugh (CPs) scores. The CLIF-C ACLFs was validated in an external cohort and assessed for sequential use. The CLIF-C ACLFs showed a significantly higher predictive accuracy than MELDs, MELD-Nas, and CPs, reducing (19-28%) the corresponding prediction error rates at all main time points after ACLF diagnosis (28, 90, 180, and 365 days) in both the CANONIC and the external validation cohort. CLIF-C ACLFs computed at 48 h, 3-7 days, and 8-15 days after ACLF diagnosis predicted the 28-day mortality significantly better than at diagnosis. The CLIF-C ACLFs at ACLF diagnosis is superior to the MELDs and MELD-Nas in predicting mortality. The CLIF-C ACLFs is a clinically relevant, validated scoring system that can be used sequentially to stratify the risk of mortality in ACLF patients. Copyright © 2014 European Association for the Study of the Liver. Published by Elsevier B.V. All rights reserved.
Staudhammer, Christina L; Escobedo, Francisco J; Holt, Nathan; Young, Linda J; Brandeis, Thomas J; Zipperer, Wayne
2015-05-15
We examined the spatial distribution, occurrence, and socioecological predictors of woody invasive plants (WIP) in two subtropical, coastal urban ecosystems: San Juan, Puerto Rico and Miami-Dade, United States. These two cities have similar climates and ecosystems typical of subtropical regions but differ in socioeconomics, topography, and urbanization processes. Using permanent plot data, available forest inventory protocols and statistical analyses of geographic and socioeconomic spatial predictors, we found that landscape level distribution and occurrence of WIPs was not clustered. We also characterized WIP composition and occurrence using logistic models, and found they were strongly related to the proportional area of residential land uses. However, the magnitude and trend of increase depended on median household income and grass cover. In San Juan, WIP occurrence was higher in areas of high residential cover when incomes were low or grass cover was low, whereas the opposite was true in Miami-Dade. Although Miami-Dade had greater invasive shrub cover and numbers of WIP species, San Juan had far greater invasive tree density, basal area and crown cover. This study provides an approach for incorporating field and available census data in geospatial distribution models of WIPs in cities throughout the globe. Findings indicate that identifying spatial predictors of WIPs depends on site-specific factors and the ecological scale of the predictor. Thus, mapping protocols and policies to eradicate urban WIPs should target indicators of a relevant scale specific to the area of interest for their improved and proactive management. Copyright © 2015 Elsevier Ltd. All rights reserved.
Varni, James W; Shulman, Robert J; Self, Mariella M; Nurko, Samuel; Saps, Miguel; Saeed, Shehzad A; Patel, Ashish S; Dark, Chelsea Vaughan; Bendo, Cristiane B; Pohl, John F
2017-04-01
To investigate the patient-reported multidimensional gastrointestinal symptoms predictors of generic health-related quality of life (HRQOL) in pediatric patients with functional gastrointestinal disorders (FGIDs). The Pediatric Quality of Life Inventory™ (PedsQL™) Gastrointestinal Symptoms Scales and PedsQL™ 4.0 Generic Core Scales were completed in a 9-site study by 259 pediatric patients with functional constipation, functional abdominal pain (FAP), or irritable bowel syndrome (IBS). Gastrointestinal Symptoms Scales measuring stomach pain, stomach discomfort when eating, food and drink limits, trouble swallowing, heartburn and reflux, nausea and vomiting, gas and bloating, constipation, blood in poop, and diarrhea were identified as clinically important symptom differentiators from healthy controls based on prior findings, and subsequently tested for bivariate and multivariate linear associations with overall HRQOL. Gastrointestinal symptoms were differentially associated with decreased HRQOL in bivariate analyses for the three FGIDs. In predictive models utilizing hierarchical multiple regression analyses controlling for age, gender, and race/ethnicity, gastrointestinal symptoms differentially accounted for an additional 47, 40, and 60 % of the variance in patient-reported HRQOL for functional constipation, FAP, and IBS, respectively, reflecting large effect sizes. Significant individual gastrointestinal symptoms predictors were identified after controlling for the other gastrointestinal symptoms in the FGID-specific predictive models. Gastrointestinal symptoms represent potentially modifiable predictors of generic HRQOL in pediatric patients with FGIDs. Identifying the condition-specific gastrointestinal symptoms that are the most important predictors from the patient perspective facilitates a patient-centered approach to targeted interventions designed to ameliorate impaired overall HRQOL.
Cholongitas, E; Senzolo, M; Patch, D; Kwong, K; Nikolopoulou, V; Leandro, G; Shaw, S; Burroughs, A K
2006-04-01
Prognostic scores in an intensive care unit (ICU) evaluate outcomes, but derive from cohorts containing few cirrhotic patients. To evaluate 6-week mortality in cirrhotic patients admitted to an ICU, and to compare general and liver-specific prognostic scores. A total of 312 consecutive cirrhotic patients (65% alcoholic; mean age 49.6 years). Multivariable logistic regression to evaluate admission factors associated with survival. Child-Pugh, Model for End-stage Liver Disease (MELD), Acute Physiology and Chronic Health Evaluation (APACHE) II and Sequential Organ Failure Assessment (SOFA) scores were compared by receiver operating characteristic curves. Major indication for admission was respiratory failure (35.6%). Median (range) Child-Pugh, APACHE II, MELD and SOFA scores were 11 (5-15), 18 (0-44), 24 (6-40) and 11 (0-21), respectively; 65% (n = 203) died. Survival improved over time (P = 0.005). Multivariate model factors: more organs failing (FOS) (<3 = 49.5%, > or =3 = 90%), higher FiO(2), lactate, urea and bilirubin; resulting in good discrimination [area under receiver operating characteristic curve (AUC) = 0.83], similar to SOFA and MELD (AUC = 0.83 and 0.81, respectively) and superior to APACHE II and Child-Pugh (AUC = 0.78 and 0.72, respectively). Cirrhotics admitted to ICU with > or =3 failing organ systems have 90% mortality. The Royal Free model discriminated well and contained key variables of organ function. SOFA and MELD were better predictors than APACHE II or Child-Pugh scores.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Kang, Chung-Jan; Head and Neck Oncology Group, Chang Gung Memorial Hospital and Chang Gung University, Taoyuan, Taiwan; Lin, Chien-Yu
2011-11-15
Purpose: The objective of this retrospective study was twofold: (1) to investigate prognostic factors for clinical outcomes in patients with poorly differentiated oral cavity squamous cell carcinoma and (2) to identify specific prognostic subgroups that may help to guide treatment decisions. Methods and Materials: We examined 102 patients with poorly differentiated oral cavity squamous cell carcinoma. All patients were followed for at least 24 months after surgery or until death. The 5-year rates of local control, neck control, distant metastasis, disease-free, disease-specific, and overall survival served as main outcome measures. Results: The 5-year rates were as follows: local control (79%),more » neck control (64%), distant metastases (27%), disease-free survival (48%), disease-specific survival (52%), and overall survival (42%). Multivariable analysis showed that the number of pathologically positive nodes ({>=}4 vs. {<=}3) was a significant predictor of neck control, distant metastasis, and disease-free, disease-specific, and overall survival rates. In addition, the presence of tumor depth of {>=}11 mm (vs. <11 mm) was a significant predictor of distant metastasis, disease-specific survival, and overall survival rates. The combination of the two predictors (26.5%, 27/102) was independently associated with poorer neck control (p = 0.0319), distant metastasis (p < 0.0001), and disease-free (p < 0.0001), disease-specific (p < 0.0001), and overall survival (p < 0.0001) rates. Conclusions: In patients with poorly differentiated oral cavity squamous cell carcinoma, the presence of at least 4 pathologically positive lymph nodes and of a pathological tumor depth {>=}11 mm identifies a subset of subjects with poor clinical outcomes. Patients carrying both risk factors are suitable candidates for the development of novel therapeutic approaches.« less
Role of specific IgE and skin-prick testing in predicting food challenge results to baked egg.
Cortot, Catherine F; Sheehan, William J; Permaul, Perdita; Friedlander, James L; Baxi, Sachin N; Gaffin, Jonathan M; Dioun, Anahita F; Hoffman, Elaine B; Schneider, Lynda C; Phipatanakul, Wanda
2012-01-01
Previous studies suggest that children with egg allergy may be able to tolerate baked egg. Reliable predictors of a successful baked egg challenge are not well established. We examined egg white-specific IgE levels, skin-prick test (SPT) results, and age as predictors of baked egg oral food challenge (OFC) outcomes. We conducted a retrospective chart review of children, aged 2-18 years, receiving an egg white-specific IgE level, SPT, and OFC to baked egg from 2008 to 2010. Fifty-two oral baked egg challenges were conducted. Of the 52 challenges, 83% (n = 43) passed and 17% (n = 9) failed, including 2 having anaphylaxis. Median SPT wheal size was 12 mm (range, 0-35 mm) for passed challenges and 17 mm (range, 10-30 mm) for failed challenges (p = 0.091). The negative predictive value for passing the OFC was 100% (9 of 9) if SPT wheal size was <10 mm. Median egg white-specific IgE was 2.02 kU/L (range, <0.35-13.00 kU/L) for passed challenges and 1.52 kU/L (range, 0.51-6.10 kU/L) for failed challenges (p = 0.660). Receiver operating characteristic (ROC) curve analysis for SPT revealed an area under the curve (AUC) of 0.64. ROC curve analysis for egg white-specific IgE revealed an AUC of 0.63. There was no significant difference in age between patients who failed and those who passed (median = 8.8 years versus 7.0 years; p = 0.721). Based on our sample, SPT, egg white-specific IgE and age are not good predictors of passing a baked egg challenge. However, there was a trend for more predictability with SPT wheal size.
Adefris, Mulat; Abebe, Solomon Mekonnen; Terefe, Kiros; Gelagay, Abebaw Addis; Adigo, Azmeraw; Amare, Selamawit; Lazaro, Dorothy; Berhe, Aster; Baye, Chernet
2017-08-22
Obstetric fistula and pelvic organ prolapse remain highly prevalent in sub-Saharan Africa, where women have poor access to modern health care. Women having these problems tend to stay at home for years before getting treatment. However, information regarding the reasons contributing to late presentation to treatment is scarce, especially at the study area. The objective of this study was to assess the reasons whywomen with obstetric fistula and pelvic organ prolapse at Gondar University Hospital delay treatment. A hospital based cross-sectional study was conducted among 384 women. Delay was evaluated by calculating symptom onset and time of arrival to get treatment at Gondar University Hospital. Regression analysis was conducted to elicit predictors of delay for treatment. Of the total 384 participants, 311 (80.9%) had pelvic organ prolapse and 73(19.1%) obstetric fistula. The proportion of women who delayed treatment of pelvic organ prolapse was 82.9% and that of obstetric fistula 60.9%. Fear of disclosing illness due to social stigma (AOR = 2; 1.03, 3.9) and lack of money (AOR = 1.97; 1.01, 3.86) were associated with the delay of treatment for pelvic organ prolapse,while increasing age (AOR =1.12; 1.01, 1.24) and divorce (AOR = 16.9; 1.75, 165.5) were were responsible for delaying treatment forobstetric fistula. A large numberof women with pelvic organ prolapse and obstetric fistula delayed treatment. Fear of disclosure due to social stigma and lack of moneywere the major factors that contributed to thedelay to seek treatment for pelvic organ prolapse,while increasing age and divorce were the predictors for delaying treatment for obstetric fistula.
2013-01-01
Introduction Osteopontin (OPN) has been implicated as a mediator of Th17 regulation via type I interferon (IFN) receptor signaling and in macrophage activity at sites of tissue repair. This study assessed whether increased circulating plasma OPN (cOPN) precedes development of organ damage in pediatric systemic lupus erythematosus (pSLE) and compared it to circulating plasma neutrophil gelatinase-associated lipocalin (cNGAL), a predictor of increased SLE disease activity. Methods cOPN and cNGAL were measured in prospectively followed pSLE (n = 42) and adult SLE (aSLE; n = 23) patients and age-matched controls. Time-adjusted cumulative disease activity and disease damage were respectively assessed using adjusted-mean SLE disease activity index (SLEDAI) (AMS) and SLICC/ACR damage index (SDI). Results Compared to controls, elevated cOPN and cNGAL were observed in pSLE and aSLE. cNGAL preceded worsening SLEDAI by 3-6 months (P = 0.04), but was not associated with increased 6-month AMS. High baseline cOPN, which was associated with high IFNalpha activity and expression of autoantibodies to nucleic acids, positively correlated with 6-month AMS (r = 0.51 and 0.52, P = 0.001 and 0.01 in pSLE and aSLE, respectively) and was associated with SDI increase at 12 months in pSLE (P = 0.001). Risk factors for change in SDI in pSLE were cOPN (OR 7.5, 95% CI [2.9-20], P = 0.03), but not cNGAL, cumulative prednisone, disease duration, immunosuppression use, gender or ancestry using univariate and multivariate logistic regression. The area under the curve (AUC) when generating the receiver-operating characteristic (ROC) of baseline cOPN sensitivity and specificity for the indication of SLE patients with an increase of SDI over a 12 month period is 0.543 (95% CI 0.347-0.738; positive predictive value 95% and negative predictive value 38%). Conclusion High circulating OPN levels preceded increased cumulative disease activity and organ damage in SLE patients, especially in pSLE, and its value as a predictor of poor outcome should be further validated in large longitudinal cohorts. PMID:23343383
Gastroschisis: antenatal sonographic predictors of adverse neonatal outcome.
Page, Rachael; Ferraro, Zachary Michael; Moretti, Felipe; Fung, Karen Fung Kee
2014-01-01
The aim of this review was to identify clinically significant ultrasound predictors of adverse neonatal outcome in fetal gastroschisis. A quasi-systematic review was conducted in PubMed and Ovid using the key terms "gastroschisis," "predictors," "outcome," and "ultrasound." A total of 18 papers were included. The most common sonographic predictors were intra-abdominal bowel dilatation (IABD), intrauterine growth restriction (IUGR), and bowel dilatation not otherwise specified (NOS). Three ultrasound markers were consistently found to be statistically insignificant with respect to predicting adverse outcome including abdominal circumference, stomach herniation and dilatation, and extra-abdominal bowel dilatation (EABD). Gastroschisis is associated with several comorbidities, yet there is much discrepancy in the literature regarding which specific ultrasound markers best predict adverse neonatal outcomes. Future research should include prospective trials with larger sample sizes and use well-defined and consistent definitions of the adverse outcomes investigated with consideration given to IABD.
A Trans-Theoretical Approach to Physical Activity Profile in General Population of Mashhad
Shaye, Zahra Abbasi; Bazzaz, Mojtaba Mousavi; Vakili, Veda
2015-01-01
Regular physical-activity is necessity for a healthy lifestyle. Despite public health efforts, a minority of population are involved in healthy levels of physical-activity. This study provides evidence about exercise patterns and predictors of Mashhad-Iran population according to TTM change stages. In this cross-sectional study, we surveyed a total number of 564 participants from Mashhad in 2014 by using stages of change questionnaire. Analysis showed 23.4% of participants were in pre-contemplation stage, 18 in contemplation, 24.6% in preparation, 8.10% in action, 14.4% in maintenance and 11.5% were in termination phase. Age, gender, BMI, alcohol consumption, sleep duration, having compeer and encouragement were identified as predictors of pre-contemplation stage. Genders, having company and using bicycle for transportation were predictors of termination phase. Tailor interventions based on the predictors to enhance the physical activity among specific subgroups would be of interest. PMID:26153203
Chang, Edward C; Yu, Tina; Chang, Olivia D; Jilani, Zunaira
2016-10-01
The present study examined perfectionism (viz, evaluative concerns and personal standards) and ethnicity as predictors of body dissatisfaction in female college students. Participants were 298 female college students sampled by December of 2013. A self-report survey with measures of body dissatisfaction, perfectionism, and demographics was conducted. Regression analyses indicated that evaluative concerns perfectionism (ECP) was a significant predictor of body dissatisfaction. The inclusion of ethnicity was found to further augment the prediction model. Moreover, we found support for an ECP × Ethnicity interaction effect in predicting body dissatisfaction. Specifically, among high-ECP female students, European Americans, compared with Asian Americans, reported the highest level of body dissatisfaction. High ECP represents a potential marker of body dissatisfaction in female college students. However, the presence of high ECP is a more critical predictor of body dissatisfaction in European American female students, compared with Asian American female students.
de Souto Barreto, Philipe; Ferrandez, Anne-Marie; Guihard-Costa, Anne-Marie
2011-04-01
This article examines the predictors of body satisfaction among older men and women. A self-reported questionnaire on body satisfaction (focused on body appearance and functioning), health, physical activity, and sociodemographic characteristics was completed by 384 older adults twice, at a year's interval. Women (n = 243) were on average 70.3 ± 7.9 years old, and men 70.9 ± 7.5 years old. Body mass index was found to be the strongest predictor of satisfaction with body appearance for both genders, along with body functioning in the case of men. Regarding satisfaction with body functioning, functional limitations were women's most important predictor of satisfaction, whereas for men body appearance was more important. Men seemed to link satisfaction with body appearance more closely to body functioning than did women. Gender differences suggest that interventions to improve body satisfaction must be gender specific, particularly those relating to body functioning.
Parenting Style and Behavior as Longitudinal Predictors of Adolescent Alcohol Use.
Minaie, Matin Ghayour; Hui, Ka Kit; Leung, Rachel K; Toumbourou, John W; King, Ross M
2015-09-01
Adolescent alcohol use is a serious problem in Australia and other nations. Longitudinal data on family predictors are valuable to guide parental education efforts. The present study tested Baumrind's proposal that parenting styles are direct predictors of adolescent alcohol use. Latent class modeling was used to investigate adolescent perceptions of parenting styles and multivariate regression to examine their predictive effect on the development of adolescent alcohol use. The data set comprised 2,081 secondary school students (55.9% female) from metropolitan Melbourne, Australia, who completed three waves of annual longitudinal data starting in 2004. Baumrind's parenting styles were significant predictors in unadjusted analyses, but these effects were not maintained in multivariate models that also included parenting behavior dimensions. Family influences on the development of adolescent alcohol use appear to operate more directly through specific family management behaviors rather than through more global parenting styles.
Ethnic Differences in Family Factors Related to Early Drug Initiation*
CATALANO, RICHARD F.; MORRISON, DIANE M.; WELLS, ELIZABETH A.; GILLMORE, MARY R.; IRITANI, BONITA; HAWKINS, J. DAVID
2007-01-01
The literature on family predictors of substance use for the general population is reviewed and compared to findings for three specific ethnic groups: black, white and Asian-Americans. Rates of substance use initiation are examined in a sample of 919 urban 5th-grade students. Ethnic differences on measures of family predictors are examined and significant ethnic differences are found on several of these factors. Finally, separate regressions for black, white and Asian American youths of family factors on the variety of substances initiated examine ethnic similarities and differences in predictors. The results demonstrate significant differences by ethnicity in family management practices, involvement in family activity, sibling deviance, parental disapproval of children's drinking and family structure. The regression equations identified unique as well as common predictors of the variety of substances initiated by the end of 5th grade. Implications of the results are discussed. PMID:1285743
Reflex Cough and Disease Duration as Predictors of Swallowing Dysfunction in Parkinson's Disease.
Troche, Michelle S; Schumann, Beate; Brandimore, Alexandra E; Okun, Michael S; Hegland, Karen W
2016-12-01
Patients with Parkinson's disease (PD) have progressive and pervasive disorders of airway protection. Recent work has highlighted the relationship between reflex and voluntary cough and swallowing safety. The goal of this study was to test the sensitivity and specificity of several airway protective and disease-specific factors for predicting swallowing safety outcomes in PD. Sixty-four participants (44 males) completed measures of voluntary and reflex cough, and swallowing safety. Clinical predictors included disease severity and duration, and cough airflow and sensitivity measures. ROC and Chi-square analyses identified predictors of swallowing safety (penetration-aspiration score) in PD. Disease duration significantly discriminated between patients with normal and abnormal swallowing safety (p = 0.027, sensitivity: 71 %, specificity: 55.4 %). Cough reflex sensitivity significantly discriminated between patients who penetrated above the level of the vocal folds and those with more severe penetration/aspiration (p = 0.021, sensitivity: 71.0 %, specificity 57.6 %). Urge-to-cough sensitivity (log-log linear slope) was the only variable which significantly discriminated between patients with penetration versus aspiration (p = 0.017, sensitivity: 85.7 %, specificity 73.2 %). It is important to identify the factors which influence airway protective outcomes in PD especially given that aspiration pneumonia is a leading cause of death. Results from this study highlight the ecological validity of reflex cough in the study of airway protection and this study further identifies important factors to consider in the screening of airway protective deficits in PD.
New serum biomarkers for prostate cancer diagnosis
Chadha, Kailash C.; Miller, Austin; Nair, Bindukumar B.; Schwartz, Stanley A.; Trump, Donald L.; Underwood, Willie
2014-01-01
Background Prostate-specific antigen (PSA) is currently used as a biomarker for diagnosis and management of prostate cancer (CaP). However, PSA typically lacks the sensitivity and specificity desired of a diagnostic marker. Objective The goal of this study was to identify an additional biomarker or a panel of biomarkers that is more sensitive and specific than PSA in differentiating benign versus malignant prostate disease and/or localized CaP versus metastatic CaP. Methods Concurrent measurements of circulating interleukin-8 (IL-8), Tumor necrosis factor-α (TNF-α) and soluble tumor necrosis factor-α receptors 1 (sTNFR1) were obtained from four groups of men: (1) Controls (2) with elevated prostate-specific antigen with a negative prostate biopsy (elPSA_negBx) (3) with clinically localized CaP and (4) with castration resistant prostate cancer. Results TNF-α Area under the receiver operating characteristic curve (AUC = 0.93) and sTNFR1 (AUC = 0.97) were strong predictors of elPSA_negBx (vs. CaP). The best predictor of elPSA_negBx vs CaP was sTNFR1 and IL-8 combined (AUC = 0.997). The strongest single predictors of localized versus metastatic CaP were TNF-α (AUC = 0.992) and PSA (AUC = 0.963) levels. Conclusions The specificity and sensitivity of a PSA-based CaP diagnosis can be significantly enhanced by concurrent serum measurements of IL-8, TNF-α and sTNFR1. In view of the concerns about the ability of PSA to distinguish clinically relevant CaP from indolent disease, assessment of these biomarkers in the larger cohort is warranted. PMID:25593898
Karlsson, Marie E; Temple, Jeff R; Weston, Rebecca; Le, Vi Donna
2016-04-01
We examined the association between witnessing interparental violence, attitudes about dating violence, and physical and psychological teen dating violence (TDV) victimization. Participants were 918 teens with dating experience. Witnessing interparental violence and acceptance of dating violence were significant predictors of TDV victimization. Acceptance of dating violence was also a partial mediator between witnessing interparental violence and TDV victimization. Witnessing mother-to-father violence and acceptance of female-perpetrated violence were the most consistent predictors. TDV programs aiming to prevent victimization could benefit from targeting youth exposed to father-to-mother and mother-to-father violence, targeting attitudes about violence, and tailoring interventions to gender-specific risk factors. © The Author(s) 2015.
Biegel, D E; Milligan, S E; Putnam, P L; Song, L Y
1994-10-01
This study uses a stress-coping-support framework to examine the predictors of caregiver burden with a sample of 103 lower social class family caregivers of persons with chronic mental illness. Results of multiple regression analyses show that the greater the frequency of client behavioral symptoms and the lower the amount of perceived support from family members, the higher the level of overall caregiver burden. Examination of the predictors of specific types of burden-family disruption, stigma, strain, and dependency-reveal that different constellations of variables predict different types of burden. The need for mental health agencies to address caregiver and client concerns is addressed. Implications are presented for practice and future research.
McElroy, Eoin; Shevlin, Mark; Elklit, Ask; Hyland, Philip; Murphy, Siobhan; Murphy, Jamie
2016-01-01
Childhood sexual abuse (CSA) is a common occurrence and a robust, yet non-specific, predictor of adult psychopathology. While many demographic and abuse factors have been shown to impact this relationship, their common and specific effects remain poorly understood. This study sought to assess the prevalence of Axis I disorders in a large sample of help-seeking victims of sexual trauma, and to examine the common and specific effects of demographic and abuse characteristics across these different diagnoses. The participants were attendees at four treatment centres in Denmark that provide psychological therapy for victims of CSA (N=434). Axis I disorders were assessed using the Millon Clinical Multiaxial Inventory-III (MCMI-III). Multivariate logistic regression analysis was used to examine the associations between CSA characteristics (age of onset, duration, number of abusers, number of abusive acts) and 10 adult clinical syndromes. There was significant variation in the prevalence of disorders and the abuse characteristics were differentially associated with the outcome variables. Having experienced sexual abuse from more than one perpetrator was the strongest predictor of psychopathology. The relationship between CSA and adult psychopathology is complex. Abuse characteristics have both unique and shared effects across different diagnoses.
Douville, Christopher; Masica, David L.; Stenson, Peter D.; Cooper, David N.; Gygax, Derek M.; Kim, Rick; Ryan, Michael
2015-01-01
ABSTRACT Insertion/deletion variants (indels) alter protein sequence and length, yet are highly prevalent in healthy populations, presenting a challenge to bioinformatics classifiers. Commonly used features—DNA and protein sequence conservation, indel length, and occurrence in repeat regions—are useful for inference of protein damage. However, these features can cause false positives when predicting the impact of indels on disease. Existing methods for indel classification suffer from low specificities, severely limiting clinical utility. Here, we further develop our variant effect scoring tool (VEST) to include the classification of in‐frame and frameshift indels (VEST‐indel) as pathogenic or benign. We apply 24 features, including a new “PubMed” feature, to estimate a gene's importance in human disease. When compared with four existing indel classifiers, our method achieves a drastically reduced false‐positive rate, improving specificity by as much as 90%. This approach of estimating gene importance might be generally applicable to missense and other bioinformatics pathogenicity predictors, which often fail to achieve high specificity. Finally, we tested all possible meta‐predictors that can be obtained from combining the four different indel classifiers using Boolean conjunctions and disjunctions, and derived a meta‐predictor with improved performance over any individual method. PMID:26442818
Douville, Christopher; Masica, David L; Stenson, Peter D; Cooper, David N; Gygax, Derek M; Kim, Rick; Ryan, Michael; Karchin, Rachel
2016-01-01
Insertion/deletion variants (indels) alter protein sequence and length, yet are highly prevalent in healthy populations, presenting a challenge to bioinformatics classifiers. Commonly used features--DNA and protein sequence conservation, indel length, and occurrence in repeat regions--are useful for inference of protein damage. However, these features can cause false positives when predicting the impact of indels on disease. Existing methods for indel classification suffer from low specificities, severely limiting clinical utility. Here, we further develop our variant effect scoring tool (VEST) to include the classification of in-frame and frameshift indels (VEST-indel) as pathogenic or benign. We apply 24 features, including a new "PubMed" feature, to estimate a gene's importance in human disease. When compared with four existing indel classifiers, our method achieves a drastically reduced false-positive rate, improving specificity by as much as 90%. This approach of estimating gene importance might be generally applicable to missense and other bioinformatics pathogenicity predictors, which often fail to achieve high specificity. Finally, we tested all possible meta-predictors that can be obtained from combining the four different indel classifiers using Boolean conjunctions and disjunctions, and derived a meta-predictor with improved performance over any individual method. © 2015 The Authors. **Human Mutation published by Wiley Periodicals, Inc.
ERIC Educational Resources Information Center
Sartawi, AbdelAziz; Alsawaie, Othman N.; Dodeen, Hamzeh; Tibi, Sana; Alghazo, Iman M.
2012-01-01
This study investigated the extent to which self-efficacy and motivation served as a predictor for mathematics achievement of fifth grade students in United Arab Emirates (UAE) across gender and achievement levels. Self-efficacy was measured by two scales, which differed in levels of specificity--Category Specific and Task Specific. Motivation was…
ERIC Educational Resources Information Center
Utsey, Shawn O.; Bolden, Mark A.; Lanier, Yzette; Williams, Otis, III
2007-01-01
This investigation examined the role of culture-specific coping in relation to resilient outcomes in African Americans from high-risk urban communities. Participants (N = 385) were administered a survey questionnaire packet containing measures of culture-specific coping, traditional resilience factors (cognitive ability, social support, and…
ERIC Educational Resources Information Center
Ivancevich, John M.
1976-01-01
A behaviorally specific motivational effort rating scale was developed and tested. The organizational specific scale results were examined and compared to those generated from the Landy and Guion scale. It was found that the organizationally specific and engineer relevant scale is a better predictor of two types of expectancies. (Author)
1988-10-05
Gottlieb, A. (1981). Attribution theory and symbolic interactionism : A comparison. In J.H. Howes, W. Ickes, & R.F. Kidd (Eds.), New directions in...ORGANIZATION REPORT NUMBER(S) NHRC Report No. 88-40 6a NAME OF PERFORMING ORGANIZATION 6b OFFICE SYMBOL 7a NAME OF MONITORING ORGANIZATION (If applicable) Naval...85122 Department of the Navy San Diego, CA 92138-9174 Washington, DC 20372 8a. NAME OF FUNDING/SPONSORING 8b OFFICE SYMBOL 9 PROCUREMENT INSTRUMENT
Kane, Michael J; Hambrick, David Z; Tuholski, Stephen W; Wilhelm, Oliver; Payne, Tabitha W; Engle, Randall W
2004-06-01
A latent-variable study examined whether verbal and visuospatial working memory (WM) capacity measures reflect a primarily domain-general construct by testing 236 participants in 3 span tests each of verbal WM. visuospatial WM, verbal short-term memory (STM), and visuospatial STM. as well as in tests of verbal and spatial reasoning and general fluid intelligence (Gf). Confirmatory' factor analyses and structural equation models indicated that the WM tasks largely reflected a domain-general factor, whereas STM tasks, based on the same stimuli as the WM tasks, were much more domain specific. The WM construct was a strong predictor of Gf and a weaker predictor of domain-specific reasoning, and the reverse was true for the STM construct. The findings support a domain-general view of WM capacity, in which executive-attention processes drive the broad predictive utility of WM span measures, and domain-specific storage and rehearsal processes relate more strongly to domain-specific aspects of complex cognition. ((c) 2004 APA, all rights reserved)
Evaluation of organic matter concentration in winery wastewater: a case study from Australia.
Quayle, Wendy C; Fattore, Alison; Zandona, Roy; Christen, Evan W; Arienzo, Michele
2009-01-01
The 5-day biological oxygen demand (BOD(5)) remains a key indicator for proof of compliance with environmental regulators in the monitoring and management of winery effluent. Inter-conversion factors from alternative tests that are more rapid, accurate and simpler to perform have been determined that allow prediction of BOD(5) in winery wastewaters, generally, and at different stages of production and treatment. Mean values obtained from this dataset offer rule of thumb inter-conversion factors: BOD(5) = 0.7 Chemical Oxygen Demand (COD), BOD(5) = 2.3 Total Organic Carbon (TOC) and BOD(5) = 2.7 Dissolved Organic Carbon (DOC). Specific predictive linear relationships are also provided. Out of the relationships between BOD(5) vs COD, TOC and DOC, in winery wastewater, irrespective of vintage or non-vintage production periods and stage of treatment, TOC offered the most reliable prediction of BOD(5). Ethanol, glucose and fructose were evaluated in untreated wastewater as predictors of BOD(5) due to their high specificity in winery effluent. A significant relationship was determined between BOD(5) and (ethanol + glucose + fructose; R(2) = 0.64, n = 19; p<0.05), but relationships between BOD(5) and ethanol and BOD(5) vs (glucose + fructose) were weak (R(2) = 0.45 and 0.34; n = 19; p<0.05 respectively,). There was a very strong linear correlation (y = 0.9767x + 52.8; R(2) = 0.97; n = 23; p<0.05) in COD data in winery effluents when using a commercially available mercury free test kit compared with using a traditional COD test kit that contained mercury. This suggests that mercury free COD test kits could be used by the wine industry for organic pollution assessment with associated reductions to user and environmental risk, as well as reducing the costs of kit waste disposal.
Zaretzki, Jed; Bergeron, Charles; Rydberg, Patrik; Huang, Tao-wei; Bennett, Kristin P; Breneman, Curt M
2011-07-25
This article describes RegioSelectivity-Predictor (RS-Predictor), a new in silico method for generating predictive models of P450-mediated metabolism for drug-like compounds. Within this method, potential sites of metabolism (SOMs) are represented as "metabolophores": A concept that describes the hierarchical combination of topological and quantum chemical descriptors needed to represent the reactivity of potential metabolic reaction sites. RS-Predictor modeling involves the use of metabolophore descriptors together with multiple-instance ranking (MIRank) to generate an optimized descriptor weight vector that encodes regioselectivity trends across all cases in a training set. The resulting pathway-independent (O-dealkylation vs N-oxidation vs Csp(3) hydroxylation, etc.), isozyme-specific regioselectivity model may be used to predict potential metabolic liabilities. In the present work, cross-validated RS-Predictor models were generated for a set of 394 substrates of CYP 3A4 as a proof-of-principle for the method. Rank aggregation was then employed to merge independently generated predictions for each substrate into a single consensus prediction. The resulting consensus RS-Predictor models were shown to reliably identify at least one observed site of metabolism in the top two rank-positions on 78% of the substrates. Comparisons between RS-Predictor and previously described regioselectivity prediction methods reveal new insights into how in silico metabolite prediction methods should be compared.
NASA Astrophysics Data System (ADS)
Hofer, M.; Kaser, G.; Mölg, T.; Juen, I.; Wagnon, P.
2009-04-01
Glaciers in the outer tropical Cordillera Blanca (Peru, South America) are of major socio-economic importance, since glacier runoff represents the primary water source during the dry season, when little or no rainfall occurs. Due to their location at high elevations, the glaciers moreover provide important information about climate change in the tropical troposphere, where measurements are sparse. This study targets the local reconstruction of air temperature, specific humidity and wind speed above the surface of an outer tropical glacier from NCEP/NCAR reanalysis data as large scale predictors. Since a farther scope is to provide input data for process based glacier mass balance modelling, the reconstruction pursues a high temporal resolution. Hence an empirical downscaling scheme is developed, based on a few years' time series of hourly observations from automatic weather stations, located at the glacier Artesonraju and nearby moraines (Northern Cordillera Blanca). Principal component and multiple regression analyses are applied to define the appropriate spatial downscaling domain, suitable predictor variables, and the statistical transfer functions. The model performance is verified using an independent data set. The best predictors are lower tropospheric air temperature and specific humidity, at reanalysis model grid points that represent the Bolivian Altiplano, located in the South of the Cordillera Blanca. The developed downscaling model explaines a considerable portion (more than 60%) of the diurnal variance of air temperature and specific humidity at the moraine stations, and air temperature above the glacier surface. Specific humidity above the glacier surface, however, can be reconstructed well in the seasonal, but not in the required diurnal time resolution. Wind speed can only be poorly determined by the large scale predictors (r² lower than 0.3) at both sites. We assume a complex local interaction between valley and glacier wind system to be the main cause for the differences between model and observations.
In silico analysis of stomach lineage specific gene set expression pattern in gastric cancer.
Pandi, Narayanan Sathiya; Suganya, Sivagurunathan; Rajendran, Suriliyandi
2013-10-04
Stomach lineage specific gene products act as a protective barrier in the normal stomach and their expression maintains the normal physiological processes, cellular integrity and morphology of the gastric wall. However, the regulation of stomach lineage specific genes in gastric cancer (GC) is far less clear. In the present study, we sought to investigate the role and regulation of stomach lineage specific gene set (SLSGS) in GC. SLSGS was identified by comparing the mRNA expression profiles of normal stomach tissue with other organ tissue. The obtained SLSGS was found to be under expressed in gastric tumors. Functional annotation analysis revealed that the SLSGS was enriched for digestive function and gastric epithelial maintenance. Employing a single sample prediction method across GC mRNA expression profiles identified the under expression of SLSGS in proliferative type and invasive type gastric tumors compared to the metabolic type gastric tumors. Integrative pathway activation prediction analysis revealed a close association between estrogen-α signaling and SLSGS expression pattern in GC. Elevated expression of SLSGS in GC is associated with an overall increase in the survival of GC patients. In conclusion, our results highlight that estrogen mediated regulation of SLSGS in gastric tumor is a molecular predictor of metabolic type GC and prognostic factor in GC. Copyright © 2013 Elsevier Inc. All rights reserved.
Which Preschool Mathematics Competencies Are Most Predictive of Fifth Grade Achievement?
Nguyen, Tutrang; Watts, Tyler W; Duncan, Greg J; Clements, Douglas H; Sarama, Julie S; Wolfe, Christopher; Spitler, Mary Elaine
In an effort to promote best practices regarding mathematics teaching and learning at the preschool level, national advisory panels and organizations have emphasized the importance of children's emergent counting and related competencies, such as the ability to verbally count, maintain one-to-one correspondence, count with cardinality, subitize, and count forward or backward from a given number. However, little research has investigated whether the kind of mathematical knowledge promoted by the various standards documents actually predict later mathematics achievement. The present study uses longitudinal data from a primarily low-income and minority sample of children to examine the extent to which preschool mathematical competencies, specifically basic and advanced counting, predict fifth grade mathematics achievement. Using regression analyses, we find early numeracy abilities to be the strongest predictors of later mathematics achievement, with advanced counting competencies more predictive than basic counting competencies. Our results highlight the significance of preschool mathematics knowledge for future academic achievement.
Thyroid dysfunction: an autoimmune aspect.
Khan, Farah Aziz; Al-Jameil, Noura; Khan, Mohammad Fareed; Al-Rashid, May; Tabassum, Hajera
2015-01-01
Auto immune thyroid disease (AITD) is the common organ specific autoimmune disorder, Hashimoto thyroiditis (HT) and Grave's disease (GD) are its well-known sequelae. It occurs due to loss of tolerance to autoantigens thyroid peroxidase (TPO), thyroglobulin (Tg), thyroid stimulating hormone receptor (TSH-R) which leads to the infiltration of the gland. T cells in chronic autoimmune thyroiditis (cAIT) induce apoptosis in thyroid follicular cells and cause destruction of the gland. Presences of TPO antibodies are common in HT and GD, while Tg has been reported as an independent predictor of thyroid malignancy. Cytokines are small proteins play an important role in autoimmunity, by stimulating B and T cells. Various cytokines IL-1α, IL-1β, IL-2, IL-4, IL-6, IL-8, IL-10, IL-12, IL-13, IL-14, TNF-α and IFN-γ are found in thyroid follicular cells which enhance inflammatory response with nitric oxide (NO) and prostaglandins.
NASA Astrophysics Data System (ADS)
Wibowo, Wahyu; Wene, Chatrien; Budiantara, I. Nyoman; Permatasari, Erma Oktania
2017-03-01
Multiresponse semiparametric regression is simultaneous equation regression model and fusion of parametric and nonparametric model. The regression model comprise several models and each model has two components, parametric and nonparametric. The used model has linear function as parametric and polynomial truncated spline as nonparametric component. The model can handle both linearity and nonlinearity relationship between response and the sets of predictor variables. The aim of this paper is to demonstrate the application of the regression model for modeling of effect of regional socio-economic on use of information technology. More specific, the response variables are percentage of households has access to internet and percentage of households has personal computer. Then, predictor variables are percentage of literacy people, percentage of electrification and percentage of economic growth. Based on identification of the relationship between response and predictor variable, economic growth is treated as nonparametric predictor and the others are parametric predictors. The result shows that the multiresponse semiparametric regression can be applied well as indicate by the high coefficient determination, 90 percent.
Predictors of quality of life for fathers and mothers of children with autistic disorder.
Dardas, Latefa Ali; Ahmad, Muayyad M
2014-06-01
A constant challenge for Quality of Life (QoL) research is tapping the most predictive indicators for a specific population. This study has sought to examine predictors of QoL for fathers and mothers of children with Autistic Disorder. Two multiple regression analyses were performed for fathers (N=70) and mothers (N=114) of children with Autistic Disorder. Six predictors were entered into the regression equation: Parental Distress (PD), Parent-Child Dysfunction Interaction (PCDI), Difficult Child Characteristics (DC), Household income, and the child's with Autistic Disorder age and number of siblings. The analyses revealed that only PD was a significant predictor for both parent's QoL, whereas DC, household income, and number of siblings were able to predict only mothers' QoL. To our knowledge, this is the first study to focus on predictors of QoL among both fathers and mothers of children with Autistic Disorder. The results from the current study can have several implications for professionals and researchers targeting the primary force contributing to the wellbeing of children with Autistic Disorder, the parents. Copyright © 2014 Elsevier Ltd. All rights reserved.
The Cross-Cultural Variation of Predictors of Human Papillomavirus Vaccination Intentions
Swain, Geoffrey R.; Weinhardt, Lance S.
2011-01-01
Abstract Background The influence of health beliefs on human papillomavirus (HPV) vaccine acceptability have been extensively documented in past research. However, studies documenting the generalizability of prior findings to culturally diverse participants are lacking. The importance of generalizability studies is underscored by the immense disparities in cervical cancer rates across ethnicities. Moreover, theory in cultural psychology suggests that beliefs derived from personal expectations may not be the strongest predictors of intentions in individuals socialized in collectivist cultures. The purpose of this research was to investigate the strongest predictors of mothers' intentions to vaccinate their daughters across three cultural groups: Hispanic, non-Hispanic white, and African American. Methods One hundred fifty mothers were recruited from Public Health Department clinics in Milwaukee, Wisconsin. Mothers were asked to answer measures that assessed personal and normative predictors of intentions. Results Results indicated that predictors of vaccination intentions varied cross-culturally. Specifically, culture moderated the influence of norms on intentions. Conclusions Interventions designed for Hispanics may be more effective if norms, rather than attitudes, are targeted. PMID:21314448
Takahashi, Hiro; Kobayashi, Takeshi; Honda, Hiroyuki
2005-01-15
For establishing prognostic predictors of various diseases using DNA microarray analysis technology, it is desired to find selectively significant genes for constructing the prognostic model and it is also necessary to eliminate non-specific genes or genes with error before constructing the model. We applied projective adaptive resonance theory (PART) to gene screening for DNA microarray data. Genes selected by PART were subjected to our FNN-SWEEP modeling method for the construction of a cancer class prediction model. The model performance was evaluated through comparison with a conventional screening signal-to-noise (S2N) method or nearest shrunken centroids (NSC) method. The FNN-SWEEP predictor with PART screening could discriminate classes of acute leukemia in blinded data with 97.1% accuracy and classes of lung cancer with 90.0% accuracy, while the predictor with S2N was only 85.3 and 70.0% or the predictor with NSC was 88.2 and 90.0%, respectively. The results have proven that PART was superior for gene screening. The software is available upon request from the authors. honda@nubio.nagoya-u.ac.jp
The Impact of Person-Organization Fit on Nurse Job Satisfaction and Patient Care Quality.
Risman, K L; Erickson, Rebecca J; Diefendorff, James M
2016-08-01
In the current healthcare context, large health care organizations may increasingly emphasize profit, biomedicine, efficiency, and customer service in the delivery of care. This orientation toward nursing work by large organizations may be perceived by nurses as incompatible with professional caring. Ordinary Least Squares regression was used to explore the impact of person-organization fit (i.e., value congruence between self and employing organization) on nurses' general job satisfaction and quality of patient care (n=753). Nurses' perceived person-organization fit is a significant predictor of general job satisfaction and quality of patient care. The implications of our findings are discussed and recommendations for nursing leaders and future research are made. Copyright © 2015 Elsevier Inc. All rights reserved.
Cognitive predictors of adaptive functioning in children with symptomatic epilepsy.
Kerr, Elizabeth N; Fayed, Nora
2017-10-01
The current study sought to understand the contribution of the attention and working memory challenges experienced by children with active epilepsy without an intellectual disability to adaptive functioning (AF) while taking into account intellectual ability, co-occurring brain-based psychosocial diagnoses, and epilepsy-related variables. The relationship of attention and working memory with AF was examined in 76 children with active epilepsy with intellectual ability above the 2nd percentile recruited from a tertiary care center. AF was measured using the Scales of Independent Behavior-Revised (SIB-R) and compared with norm-referenced data. Standardized clinical assessments of attention span, sustained attention, as well as basic and more complex working memory were administered to children. Commonality analysis was used to investigate the importance of the variables with respect to the prediction of AF and to construct parsimonious models to elucidate the factors most important in explaining AF. Seventy-one percent of parents reported that their child experienced mild to severe difficulties with overall AF. Similar proportions of children displayed limitations in domain-specific areas of AF (Motor, Social/Communication, Person Living, and Community Living). The reduced models for Broad and domain-specific AF produced a maximum of seven predictor variables, with little loss in overall explained variance compared to the full models. Intellectual ability was a powerful predictor of Broad and domain-specific AF. Complex working memory was the only other cognitive predictor retained in each of the parsimonious models of AF. Sustained attention and complex working memory explained a large amount of the total variance in Motor AF. Children with a previously diagnosed comorbidity displayed lower Social/Communication, Personal Living, and Broad AF than those without a diagnosis. At least one epilepsy-related variable appeared in each of the reduced models, with age of seizure onset and seizure type (generalized or partial) being the main predictors. Intellectual ability was the most powerful predictor of AF in children with epilepsy whose intellectual functioning was above the 2nd percentile. Co-occurring brain-based cognitive and psychosocial issues experienced by children with living epilepsy, particularly complex working memory and diagnosed comorbidities, contribute to AF and may be amenable to intervention. Crown Copyright © 2017. Published by Elsevier B.V. All rights reserved.
Sensitivity assessment of freshwater macroinvertebrates to pesticides using biological traits.
Ippolito, A; Todeschini, R; Vighi, M
2012-03-01
Assessing the sensitivity of different species to chemicals is one of the key points in predicting the effects of toxic compounds in the environment. Trait-based predicting methods have proved to be extremely efficient for assessing the sensitivity of macroinvertebrates toward compounds with non specific toxicity (narcotics). Nevertheless, predicting the sensitivity of organisms toward compounds with specific toxicity is much more complex, since it depends on the mode of action of the chemical. The aim of this work was to predict the sensitivity of several freshwater macroinvertebrates toward three classes of plant protection products: organophosphates, carbamates and pyrethroids. Two databases were built: one with sensitivity data (retrieved, evaluated and selected from the U.S. Environmental Protection Agency ECOTOX database) and the other with biological traits. Aside from the "traditional" traits usually considered in ecological analysis (i.e. body size, respiration technique, feeding habits, etc.), multivariate analysis was used to relate the sensitivity of organisms to some other characteristics which may be involved in the process of intoxication. Results confirmed that, besides traditional biological traits, related to uptake capability (e.g. body size and body shape) some traits more related to particular metabolic characteristics or patterns have a good predictive capacity on the sensitivity to these kinds of toxic substances. For example, behavioral complexity, assumed as an indicator of nervous system complexity, proved to be an important predictor of sensitivity towards these compounds. These results confirm the need for more complex traits to predict effects of highly specific substances. One key point for achieving a complete mechanistic understanding of the process is the choice of traits, whose role in the discrimination of sensitivity should be clearly interpretable, and not only statistically significant.
Toma, Tudor; Bosman, Robert-Jan; Siebes, Arno; Peek, Niels; Abu-Hanna, Ameen
2010-08-01
An important problem in the Intensive Care is how to predict on a given day of stay the eventual hospital mortality for a specific patient. A recent approach to solve this problem suggested the use of frequent temporal sequences (FTSs) as predictors. Methods following this approach were evaluated in the past by inducing a model from a training set and validating the prognostic performance on an independent test set. Although this evaluative approach addresses the validity of the specific models induced in an experiment, it falls short of evaluating the inductive method itself. To achieve this, one must account for the inherent sources of variation in the experimental design. The main aim of this work is to demonstrate a procedure based on bootstrapping, specifically the .632 bootstrap procedure, for evaluating inductive methods that discover patterns, such as FTSs. A second aim is to apply this approach to find out whether a recently suggested inductive method that discovers FTSs of organ functioning status is superior over a traditional method that does not use temporal sequences when compared on each successive day of stay at the Intensive Care Unit. The use of bootstrapping with logistic regression using pre-specified covariates is known in the statistical literature. Using inductive methods of prognostic models based on temporal sequence discovery within the bootstrap procedure is however novel at least in predictive models in the Intensive Care. Our results of applying the bootstrap-based evaluative procedure demonstrate the superiority of the FTS-based inductive method over the traditional method in terms of discrimination as well as accuracy. In addition we illustrate the insights gained by the analyst into the discovered FTSs from the bootstrap samples. Copyright 2010 Elsevier Inc. All rights reserved.
Alavash, Mohsen; Doebler, Philipp; Holling, Heinz; Thiel, Christiane M; Gießing, Carsten
2015-03-01
Is there one optimal topology of functional brain networks at rest from which our cognitive performance would profit? Previous studies suggest that functional integration of resting state brain networks is an important biomarker for cognitive performance. However, it is still unknown whether higher network integration is an unspecific predictor for good cognitive performance or, alternatively, whether specific network organization during rest predicts only specific cognitive abilities. Here, we investigated the relationship between network integration at rest and cognitive performance using two tasks that measured different aspects of working memory; one task assessed visual-spatial and the other numerical working memory. Network clustering, modularity and efficiency were computed to capture network integration on different levels of network organization, and to statistically compare their correlations with the performance in each working memory test. The results revealed that each working memory aspect profits from a different resting state topology, and the tests showed significantly different correlations with each of the measures of network integration. While higher global network integration and modularity predicted significantly better performance in visual-spatial working memory, both measures showed no significant correlation with numerical working memory performance. In contrast, numerical working memory was superior in subjects with highly clustered brain networks, predominantly in the intraparietal sulcus, a core brain region of the working memory network. Our findings suggest that a specific balance between local and global functional integration of resting state brain networks facilitates special aspects of cognitive performance. In the context of working memory, while visual-spatial performance is facilitated by globally integrated functional resting state brain networks, numerical working memory profits from increased capacities for local processing, especially in brain regions involved in working memory performance. Copyright © 2014 Elsevier Inc. All rights reserved.
Martín-Navarro, Antonio; Gaudioso-Simón, Andrés; Álvarez-Jarreta, Jorge; Montoya, Julio; Mayordomo, Elvira; Ruiz-Pesini, Eduardo
2017-03-07
Several methods have been developed to predict the pathogenicity of missense mutations but none has been specifically designed for classification of variants in mtDNA-encoded polypeptides. Moreover, there is not available curated dataset of neutral and damaging mtDNA missense variants to test the accuracy of predictors. Because mtDNA sequencing of patients suffering mitochondrial diseases is revealing many missense mutations, it is needed to prioritize candidate substitutions for further confirmation. Predictors can be useful as screening tools but their performance must be improved. We have developed a SVM classifier (Mitoclass.1) specific for mtDNA missense variants. Training and validation of the model was executed with 2,835 mtDNA damaging and neutral amino acid substitutions, previously curated by a set of rigorous pathogenicity criteria with high specificity. Each instance is described by a set of three attributes based on evolutionary conservation in Eukaryota of wildtype and mutant amino acids as well as coevolution and a novel evolutionary analysis of specific substitutions belonging to the same domain of mitochondrial polypeptides. Our classifier has performed better than other web-available tested predictors. We checked performance of three broadly used predictors with the total mutations of our curated dataset. PolyPhen-2 showed the best results for a screening proposal with a good sensitivity. Nevertheless, the number of false positive predictions was too high. Our method has an improved sensitivity and better specificity in relation to PolyPhen-2. We also publish predictions for the complete set of 24,201 possible missense variants in the 13 human mtDNA-encoded polypeptides. Mitoclass.1 allows a better selection of candidate damaging missense variants from mtDNA. A careful search of discriminatory attributes and a training step based on a curated dataset of amino acid substitutions belonging exclusively to human mtDNA genes allows an improved performance. Mitoclass.1 accuracy could be improved in the future when more mtDNA missense substitutions will be available for updating the attributes and retraining the model.
Biological validation of self-reported condom use among sex workers in Guinea.
Aho, Joséphine; Koushik, Anita; Diakité, Soumaïla Laye; Loua, Kovana Marcel; Nguyen, Vinh-Kim; Rashed, Sélim
2010-12-01
Self-reported condom use may be prone to social desirability bias. Our aim was to assess the validity of self-reported condom use in a population of female sex workers using prostate specific antigen (PSA) as a gold standard biomarker of recent unprotected vaginal intercourse. We collected data on 223 sex-workers in Conakry, Guinea in order to assess the sensitivity and specificity of self-reported condom use as well as to examine the predictors of discordance between self-report and PSA presence. PSA was detected in 38.4% of samples. Sensitivity of self-reported condom use was 14.6% and its specificity was 94.7%. Self-perceived high risk of HIV infection was the only significant independent predictor of misreported condom use. PSA could be useful to validate self-reported condom use in surveys and to allow a better understanding of factors associated with social desirability in sexual behaviour reporting.
Development of a Pediatric Ebola Predictive Score, Sierra Leone1.
Fitzgerald, Felicity; Wing, Kevin; Naveed, Asad; Gbessay, Musa; Ross, J C G; Checchi, Francesco; Youkee, Daniel; Jalloh, Mohamed Boie; Baion, David E; Mustapha, Ayeshatu; Jah, Hawanatu; Lako, Sandra; Oza, Shefali; Boufkhed, Sabah; Feury, Reynold; Bielicki, Julia; Williamson, Elizabeth; Gibb, Diana M; Klein, Nigel; Sahr, Foday; Yeung, Shunmay
2018-02-01
We compared children who were positive for Ebola virus disease (EVD) with those who were negative to derive a pediatric EVD predictor (PEP) score. We collected data on all children <13 years of age admitted to 11 Ebola holding units in Sierra Leone during August 2014-March 2015 and performed multivariable logistic regression. Among 1,054 children, 309 (29%) were EVD positive and 697 (66%) EVD negative, with 48 (5%) missing. Contact history, conjunctivitis, and age were the strongest positive predictors for EVD. The PEP score had an area under receiver operating characteristics curve of 0.80. A PEP score of 7/10 was 92% specific and 44% sensitive; 3/10 was 30% specific, 94% sensitive. The PEP score could correctly classify 79%-90% of children and could be used to facilitate triage into risk categories, depending on the sensitivity or specificity required.
Clinical Predictors of Hospital Mortality Differ Between Direct and Indirect ARDS.
Luo, Liang; Shaver, Ciara M; Zhao, Zhiguo; Koyama, Tatsuki; Calfee, Carolyn S; Bastarache, Julie A; Ware, Lorraine B
2017-04-01
Direct (pulmonary) and indirect (extrapulmonary) ARDS are distinct syndromes with important pathophysiologic differences. The goal of this study was to determine whether clinical characteristics and predictors of mortality differ between direct or indirect ARDS. This retrospective observational cohort study included 417 patients with ARDS. Each patient was classified as having direct (pneumonia or aspiration, n = 250) or indirect (nonpulmonary sepsis or pancreatitis, n = 167) ARDS. Patients with direct ARDS had higher lung injury scores (3.0 vs 2.8; P < .001), lower Simplified Acute Physiology Score II scores (51 vs 62; P < .001), lower Acute Physiology and Chronic Health Evaluation II scores (27 vs 30; P < .001), and fewer nonpulmonary organ failures (1 vs 2; P < .001) compared with patients with indirect ARDS. Hospital mortality was similar (28% vs 31%). In patients with direct ARDS, age (OR, 1.29 per 10 years; P = .01; test for interaction, P = .03), lung injury scores (OR, 2.29 per point; P = .001; test for interaction, P = .058), and number of nonpulmonary organ failures (OR, 1.67; P = .01) were independent risk factors for increased hospital mortality. Preexisting diabetes mellitus was an independent risk factor for reduced hospital mortality (OR, 0.47; P = .04; test for interaction, P = .02). In indirect ARDS, only the number of organ failures was an independent predictor of mortality (OR, 2.08; P < .001). Despite lower severity of illness and fewer organ failures, patients with direct ARDS had mortality rates similar to patients with indirect ARDS. Factors previously associated with mortality during ARDS were only associated with mortality in direct ARDS. These findings suggest that direct and indirect ARDS have distinct features that may differentially affect risk prediction and clinical outcomes. Copyright © 2016 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.
Work engagement and its predictors in registered nurses: A cross-sectional design.
Wan, Qiaoqin; Zhou, Weijiao; Li, Zhaoyang; Shang, Shaomei; Yu, Fang
2018-04-23
Nurses are key staff members of health-care organizations. Nurse engagement directly influences quality of care and organizational performance. The purpose of the present study was to understand the state of work engagement and explore its predictors among registered nurses in China by using a descriptive, cross-sectional survey design (n = 1065). Work engagement was measured with the Chinese version of the Utrecht Work Engagement Scale. The results showed that the average work engagement of Chinese nurses was 3.54 (standard deviation = 1.49), and that nurses' age (β = .16, t = 5.32), job characteristics (β = .33, t = 9.43), and practice environment (β = .23, t = 6.59) were significant predictors of work engagement. Thus, nurse leaders should be encouraged to shape motivational job characteristics and create supportive practice environment so as to increase nurses' work engagement. © 2018 John Wiley & Sons Australia, Ltd.
Grant, Adam M; Mayer, David M
2009-07-01
Researchers have discovered inconsistent relationships between prosocial motives and citizenship behaviors. We draw on impression management theory to propose that impression management motives strengthen the association between prosocial motives and affiliative citizenship by encouraging employees to express citizenship in ways that both "do good" and "look good." We report 2 studies that examine the interactions of prosocial and impression management motives as predictors of affiliative citizenship using multisource data from 2 different field samples. Across the 2 studies, we find positive interactions between prosocial and impression management motives as predictors of affiliative citizenship behaviors directed toward other people (helping and courtesy) and the organization (initiative). Study 2 also shows that only prosocial motives predict voice-a challenging citizenship behavior. Our results suggest that employees who are both good soldiers and good actors are most likely to emerge as good citizens in promoting the status quo.
Pawlowski, Tomasz; Baranowski, Piotr
2018-04-01
The aim of this study was to analyze the personality traits of nurses and the organizational climate in psychiatric wards affecting the frequency of the use of coercion. The study applied a descriptive, longitudinal design based on a 1-year prospective observation. The best predictor for the initiation of coercion by nursing personnel was a low score on the Creative Personality Factor Scale in Adjective Check List and the low score in the area of Leadership in Kolb's Organizing Climate Questionnaire (KOQC). The best predictor for decisions to use coercion was the low score in the area Requirements in the KOQC, whereas the best predictors for the participation in coercion were a high value for Leadership area and a low value for Requirements area in KOQC. The nursing personnel should be given frequent practical and theoretical training regarding the use of coercion. © 2017 Wiley Periodicals, Inc.
1983-01-01
Supervisor’s perceived .82 .86 job performance Communications .68 .68 Teamwork .68 .73 Extrinsic Satisfaction .78 .72 Organizational Commitment .90 .90... Performance , Communications, Teamwork, Extrinsic Satisfaction and Organizational Commitment for the Organization One Sample (n=284) Variables 1 2 3 4 5 6 7 1...correlations 67 Ij TABLE 4 Correlations Among Interpersonal Trust, Supervisor’s Perceived Job Performance , Communications, Teamwork, Extrinsic Satisfaction
Modrego, Pedro J
2006-04-01
Mild Cognitive Impairment is a common condition defined as transitional state between normality and dementia of Alzheimer type. Clinically is characterized by subjective and objective memory loss beyond the expected for age and educational level, although a broad range of cognitive inefficiencies may appear, with preservation of daily living activities. Approximately half the patients convert to dementia within 3 years. Since no all patients convert to dementia it is essential to find reliable predictors so as to start the appropriate treatment as soon as possible. Extensive Medline-based search for articles dealing with predictors of conversion to dementia in Mild Cognitive Impairment (MCI). There is a substantial body of literature dealing with predictors of dementia in patients with MCI. These predictors range from a simple delayed recall task on Mini-Mental to sophisticated radiological techniques and CSF biomarkers. Comprehensive neuropsychological tests rarely surpass 70% sensitivity and specificity. The presence of the APOE epsilon 4 allele has been associated with increased risk of conversion but the sensitivity is quite low. CSF biochemical markers are being developed with encouraging results. beta-amyloid 42 protein is usually lower in converters than in people with stable cognitive status and tau protein is higher. The sensitivity is substantial but specificity is so far low. An epitope of tau protein (P231) looks more specific of Alzheimer's disease and therefore a promising biomarker. In the blood, high beta-amyloid protein levels indicate risk of conversion but only a few studies have been published. Hippocampal or entorhinal atrophy on MRI is one of the most used radiological markers of conversion but quantification of atrophy is not simple as it is subject to artifacts and anatomic variations. Proton Magnetic Resonance Spectroscopy (MRS) and Positron Emission Tomography (PET) are emerging as the most promising predictive tools. The highest degree of accuracy (>90%) has been achieved by means of PET plus either memory performance or APOE4 genotype. However, the samples of the published studies are mostly small, and these instruments are not widely available. There is no enough evidence to recommend specific techniques for predictions. Until an accurate marker is developed, a combined use of cognitive tests, APOE genotype, and a neuroradiological technique is probably the best option for prediction purposes depending on availability and experience.
Wan, Eric Yuk Fai; Fong, Daniel Yee Tak; Fung, Colman Siu Cheung; Yu, Esther Yee Tak; Chin, Weng Yee; Chan, Anca Ka Chun; Lam, Cindy Lo Kuen
2017-08-01
Since diabetes mellitus (DM) is the leading cause of end stage renal disease (ESRD), this study aimed to develop a 5-year ESRD risk prediction model among Chinese patients with Type 2 DM (T2DM) in primary care. A retrospective cohort study was conducted on 149,333 Chinese adult T2DM primary care patients without ESRD in 2010. Using the derivation cohort over a median of 5 years follow-up, the gender-specific models including the interaction effect between predictors and age were derived using Cox regression with a forward stepwise approach. Harrell's C-statistic and calibration plot were applied to the validation cohort to assess discrimination and calibration of the models. Prediction models showed better discrimination with Harrell's C-statistics of 0.866 (males) and 0.862 (females) and calibration power from the plots than other established models. The predictors included age, usages of anti-hypertensive drugs, anti-glucose drugs, and Hemogloblin A1c, blood pressure, urine albumin/creatinine ratio (ACR) and estimated glomerular filtration rate (eGFR). Specific predictors for male were smoking and presence of sight threatening diabetic retinopathy while additional predictors for female included longer duration of diabetes and quadratic effect of body mass index. Interaction factors with age showed a greater weighting of insulin and urine ACR in younger males, and eGFR in younger females. Our newly developed gender-specific models provide a more accurate 5-year ESRD risk predictions for Chinese diabetic primary care patients than other existing models. The models included several modifiable risk factors that clinicians can use to counsel patients, and to target at in the delivery of care to patients.
Wang, Hongyu; Dumont, Xavier; Haufroid, Vincent; Bernard, Alfred
2017-09-12
Recent studies in children have reported associations of urinary cadmium (U-Cd), used as biomarker of Cd body burden, with renal dysfunction, retarded growth and impaired cognitive development in children. Little is known, however, about factors influencing U-Cd in children and likely to act as confounders. In a cross-sectional study involving 249 schoolchildren (mean age, 5.72 years; 138 boys), we measured the urine concentrations of cadmium, zinc, lead, albumin, alpha 1 -microglobulin (A1M), retinol-binding protein, β 2 -microglobulin and club cell protein (CC16). Determinants of U-Cd expressed per creatinine or adjusted to specific gravity were identified by multiple regression analyses. Girls and boys had similar median concentrations of U-Cd (0.22 and 0.24 μg/L, 0.33 and 0.35 μg/g creatinine, respectively). When models were run without including creatinine or specific gravity among independent variables, urinary zinc, urinary A1M and age emerged as the strongest predictors of U-Cd expressed per g creatinine or adjusted to SG. When adding creatinine among predictors, urinary creatinine emerged as an additional strong predictor correlating negatively with U-Cd per g creatinine. This strong residual influence of diuresis, not seen when adding specific gravity among predictors, linked U-Cd to U-A1M or U-CC16 through secondary associations mimicking those induced by Cd nephrotoxity. In young children U-Cd largely varies with diuresis, zinc metabolism and urinary A1M. These physiological determinants, unrelated to Cd body burden, may confound the child renal and developmental outcomes associated with low-level U-Cd.
Jarošík, Vojtěch; Pyšek, Petr; Foxcroft, Llewellyn C.; Richardson, David M.; Rouget, Mathieu; MacFadyen, Sandra
2011-01-01
Background Overcoming boundaries is crucial for incursion of alien plant species and their successful naturalization and invasion within protected areas. Previous work showed that in Kruger National Park, South Africa, this process can be quantified and that factors determining the incursion of invasive species can be identified and predicted confidently. Here we explore the similarity between determinants of incursions identified by the general model based on a multispecies assemblage, and those identified by species-specific models. We analyzed the presence and absence of six invasive plant species in 1.0×1.5 km segments along the border of the park as a function of environmental characteristics from outside and inside the KNP boundary, using two data-mining techniques: classification trees and random forests. Principal Findings The occurrence of Ageratum houstonianum, Chromolaena odorata, Xanthium strumarium, Argemone ochroleuca, Opuntia stricta and Lantana camara can be reliably predicted based on landscape characteristics identified by the general multispecies model, namely water runoff from surrounding watersheds and road density in a 10 km radius. The presence of main rivers and species-specific combinations of vegetation types are reliable predictors from inside the park. Conclusions The predictors from the outside and inside of the park are complementary, and are approximately equally reliable for explaining the presence/absence of current invaders; those from the inside are, however, more reliable for predicting future invasions. Landscape characteristics determined as crucial predictors from outside the KNP serve as guidelines for management to enact proactive interventions to manipulate landscape features near the KNP to prevent further incursions. Predictors from the inside the KNP can be used reliably to identify high-risk areas to improve the cost-effectiveness of management, to locate invasive plants and target them for eradication. PMID:22194893
Jarošík, Vojtěch; Pyšek, Petr; Foxcroft, Llewellyn C; Richardson, David M; Rouget, Mathieu; MacFadyen, Sandra
2011-01-01
Overcoming boundaries is crucial for incursion of alien plant species and their successful naturalization and invasion within protected areas. Previous work showed that in Kruger National Park, South Africa, this process can be quantified and that factors determining the incursion of invasive species can be identified and predicted confidently. Here we explore the similarity between determinants of incursions identified by the general model based on a multispecies assemblage, and those identified by species-specific models. We analyzed the presence and absence of six invasive plant species in 1.0×1.5 km segments along the border of the park as a function of environmental characteristics from outside and inside the KNP boundary, using two data-mining techniques: classification trees and random forests. The occurrence of Ageratum houstonianum, Chromolaena odorata, Xanthium strumarium, Argemone ochroleuca, Opuntia stricta and Lantana camara can be reliably predicted based on landscape characteristics identified by the general multispecies model, namely water runoff from surrounding watersheds and road density in a 10 km radius. The presence of main rivers and species-specific combinations of vegetation types are reliable predictors from inside the park. The predictors from the outside and inside of the park are complementary, and are approximately equally reliable for explaining the presence/absence of current invaders; those from the inside are, however, more reliable for predicting future invasions. Landscape characteristics determined as crucial predictors from outside the KNP serve as guidelines for management to enact proactive interventions to manipulate landscape features near the KNP to prevent further incursions. Predictors from the inside the KNP can be used reliably to identify high-risk areas to improve the cost-effectiveness of management, to locate invasive plants and target them for eradication.
Prenatal Sonographic Predictors of Neonatal Coarctation of the Aorta.
Anuwutnavin, Sanitra; Satou, Gary; Chang, Ruey-Kang; DeVore, Greggory R; Abuel, Ashley; Sklansky, Mark
2016-11-01
To identify practical prenatal sonographic markers for the postnatal diagnosis of coarctation of the aorta. We reviewed the fetal echocardiograms and postnatal outcomes of fetal cases of suspected coarctation of the aorta seen at a single institution between 2010 and 2014. True- and false-positive cases were compared. Logistic regression analysis was used to determine echocardiographic predictors of coarctation of the aorta. Optimal cutoffs for these markers and a multivariable threshold scoring system were derived to discriminate fetuses with coarctation of the aorta from those without coarctation of the aorta. Among 35 patients with prenatal suspicion of coarctation of the aorta, the diagnosis was confirmed postnatally in 9 neonates (25.7% true-positive rate). Significant predictors identified from multivariate analysis were as follows: Z score for the ascending aorta diameter of -2 or less (P = < .001), Z score for the mitral valve annulus of -2 or less (P= .033), Zscore for the transverse aortic arch diameter of -2 or less (P= .028), and abnormal aortic valve morphologic features (P= .026). Among all variables studied, the ascending aortic Z score had the highest sensitivity (78%) and specificity (92%) for detection of coarctation of the aorta. A multivariable threshold scoring system identified fetuses with coarctation of the aorta with still greater sensitivity (89%) and only mildly decreased specificity (88%). The finding of a diminutive ascending aorta represents a powerful and practical prenatal predictor of neonatal coarctation of the aorta. A multivariable scoring system, including dimensions of the ascending and transverse aortas, mitral valve annulus, and morphologic features of the aortic valve, provides excellent sensitivity and specificity. The use of these practical sonographic markers may improve prenatal detection of coarctation of the aorta. © 2016 by the American Institute of Ultrasound in Medicine.
McElroy, Eoin; Shevlin, Mark; Elklit, Ask; Hyland, Philip; Murphy, Siobhan; Murphy, Jamie
2016-01-01
Background Childhood sexual abuse (CSA) is a common occurrence and a robust, yet non-specific, predictor of adult psychopathology. While many demographic and abuse factors have been shown to impact this relationship, their common and specific effects remain poorly understood. Objective This study sought to assess the prevalence of Axis I disorders in a large sample of help-seeking victims of sexual trauma, and to examine the common and specific effects of demographic and abuse characteristics across these different diagnoses. Method The participants were attendees at four treatment centres in Denmark that provide psychological therapy for victims of CSA (N=434). Axis I disorders were assessed using the Millon Clinical Multiaxial Inventory-III (MCMI-III). Multivariate logistic regression analysis was used to examine the associations between CSA characteristics (age of onset, duration, number of abusers, number of abusive acts) and 10 adult clinical syndromes. Results There was significant variation in the prevalence of disorders and the abuse characteristics were differentially associated with the outcome variables. Having experienced sexual abuse from more than one perpetrator was the strongest predictor of psychopathology. Conclusions The relationship between CSA and adult psychopathology is complex. Abuse characteristics have both unique and shared effects across different diagnoses. Highlights of the article The prevalence of Axis I disorders were assessed in a large sample of sexual abuse and incest survivors. The impact of demographic and abuse characteristics were also examined. There was significant variation in the prevalence of disorders. Abuse characteristics were differentially associated with the disorders. Abuse from multiple perpetrators was the strongest overall predictor of psychopathology. PMID:27064976
Terwel, Bart W; Harinck, Fieke; Ellemers, Naomi; Daamen, Dancker D L
2009-08-01
Public trust in organizations that are involved in the management and use of new technologies affects lay judgments about the risks and benefits associated with these technologies. In turn, judgments about risks and benefits influence lay attitudes toward these technologies. The validity of this (indirect) effect of trust on lay attitudes toward new technologies, which is referred to as the causal chain account of trust, has up till now only been examined in correlational research. The two studies reported in this article used an experimental approach to more specifically test the causal chain account of trust in the context of carbon dioxide capture and storage technology (CCS). Complementing existing literature, the current studies explicitly distinguished between two different types of trust in organizations: competence-based trust (Study 1) and integrity-based trust (Study 2). In line with predictions, results showed that the organizational position regarding CCS implementation (pro versus con) more strongly affected people's risk and benefit perceptions and their subsequent acceptance of CCS when competence-based trust was high rather than low. In contrast, the organizational position had a greater impact on people's level of CCS acceptance when integrity-based trust was low rather than high.
Factors associated with bone turnover and speed of sound in early and late-pubertal females.
Klentrou, Panagiota; Ludwa, Izabella A; Falk, Bareket
2011-10-01
This cross-sectional study examines whether maturity, body composition, physical activity, dietary intake, and hormonal concentrations are related to markers of bone turnover and tibial speed of sound (tSOS) in premenarcheal (n = 20, 10.1 ± 1.1 years) and postmenarcheal girls (n = 28, aged 15.0 ± 1.4 years). Somatic maturity was evaluated using years from age of peak height velocity (aPHV). Daily dietary intake was assessed with a 24-h recall interview, and moderate to very vigorous physical activity (MVPA) was measured using accelerometry. Plasma levels of 25-OH vitamin D, serum levels of insulin-like growth-factor 1 (IGF-1) and leptin, and serum levels of bone turnover markers including osteocalcin (OC), bone-specific alkaline phosphatase (BAP) and cross-linked N-teleopeptide of type I collagen (NTX) were measured using ELISA. OC, BAP, and NTX were significantly higher while IGF-1 and tSOS were lower in the premenarcheal group. The premenarcheal girls were more active and had higher daily energy intake relative to their body mass but there were no group differences in body mass index percentile. Maturity predicted 40%-57% of the variance in bone turnover markers. Additionally, daily energy intake was a significant predictor of OC, especially in the postmenarcheal group. IGF-1 and MVPA were significant predictors of BAP in the group as a whole. However, examined separately, IGF-1 was a predictor of BAP in the premenarcheal group while MVPA was a predictor in the postmenarcheal group. Adiposity and leptin were both negative predictors of tSOS, with leptin being specifically predictive in the postmenarcheal group. In conclusion, while maturity was the strongest predictor of bone markers and tSOS, dietary intake, physical activity, body composition, and hormonal factors further contribute to the variance in bone turnover and bone SOS in young Caucasian females. Further, the predicting factors of bone turnover and tSOS were different within each maturity group.
Marson, D C; Cody, H A; Ingram, K K; Harrell, L E
1995-10-01
To identify neuropsychologic predictors of competency performance and status in Alzheimer's disease (AD) using a specific legal standard (LS). This study is a follow-up to the competency assessment research reported in this issue of the archives. Univariate and multivariate analyses of independent neuropsychologic test measures with a dependent measure of competency to consent to treatment. University medical center. Fifteen normal older control subjects and 29 patients with probable AD. Subjects were administered a battery of neuropsychologic measures theoretically linked to competency function, as well as two clinical vignettes testing their capacity to consent to medical treatment under five different LSs. The present study focused on one specific LS: the capacity to provide "rational reasons" for a treatment choice (LS4). Neuropsychologic test scores were correlated with scores on LS4 for the normal control group and the AD group. The resulting univariate predictors were then analyzed using stepwise regression and discriminant function to identify the key multivariate predictors of competency performance and status under LS4. Measures of word fluency predicted the LS4 scores of controls (R2 = .33) and the AD group (R2 = .36). A word fluency measure also emerged as the best single predictor of competency status for the full subject sample (n = 44), correctly classifying 82% of cases. Dementia severity (Mini-Mental State Examination score) did not emerge as a multivariate predictor of competency performance or status. Interestingly, measures of verbal reasoning and memory were not strongly associated with LS4. Word fluency measures predicted the normative performance and intact competency status of older control subjects and the declining performance and compromised competency status of patients with AD on a "rational reasons" standard of competency to consent to treatment. Cognitive capacities related to frontal lobe function appear to underlie the capacity to formulate rational reasons for a treatment choice. Neuropsychologic studies of competency function have important theoretical and clinical value.
Dall'Era, Maria; Cisternas, Miriam G; Smilek, Dawn E; Straub, Laura; Houssiau, Frédéric A; Cervera, Ricard; Rovin, Brad H; Mackay, Meggan
2015-05-01
There is a need to determine which response measures in lupus nephritis trials are most predictive of good long-term renal function. We used data from the Euro-Lupus Nephritis Trial to evaluate the performance of proteinuria, serum creatinine (Cr), and urinary red blood cells (RBCs) as predictors of good long-term renal outcome. Patients from the Euro-Lupus Nephritis Trial with proteinuria, serum Cr, and urinary RBC measurements at 3, 6, or 12 months and with a minimum of 7 years of followup were included (n = 76). We assessed the ability of these clinical biomarkers at 3, 6, and 12 months after randomization to predict good long-term renal outcome (defined as a serum Cr value ≤1.0 mg/dl) at 7 years. Receiver operating characteristic curves were generated to assess parameter performance at these time points and to select the best cutoff for individual parameters. Sensitivity and specificity were calculated for the parameters alone and in combination. A proteinuria value of <0.8 gm/day at 12 months after randomization was the single best predictor of good long-term renal function (sensitivity 81% and specificity 78%). The addition of serum Cr to proteinuria as a composite predictor did not improve the performance of the outcome measure; addition of urinary RBCs as a predictor significantly decreased the sensitivity to 47%. This study demonstrates that the level of proteinuria at 12 months is the individual best predictor of long-term renal outcome in patients with lupus nephritis. Inclusion of urinary RBCs as part of a composite outcome measure actually undermined the predictive value of the trial data. We therefore suggest that urinary RBCs should not be included as a component of clinical trial response criteria in lupus nephritis. © 2015, American College of Rheumatology.
Predictors of screen viewing time in young Singaporean children: the GUSTO cohort.
Bernard, Jonathan Y; Padmapriya, Natarajan; Chen, Bozhi; Cai, Shirong; Tan, Kok Hian; Yap, Fabian; Shek, Lynette; Chong, Yap-Seng; Gluckman, Peter D; Godfrey, Keith M; Kramer, Michael S; Saw, Seang Mei; Müller-Riemenschneider, Falk
2017-09-05
Higher screen viewing time (SVT) in childhood has been associated with adverse health outcomes, but the predictors of SVT in early childhood are poorly understood. We examined the sociodemographic and behavioral predictors of total and device-specific SVT in a Singaporean cohort. At ages 2 and 3 years, SVT of 910 children was reported by their parents. Interviewer-administered questionnaires assessed SVT on weekdays and weekends for television, computer, and hand-held devices. Multivariable linear mixed-effect models were used to examine the associations of total and device-specific SVT at ages 2 and 3 with predictors, including children's sex, ethnicity, birth order, family income, and parental age, education, BMI, and television viewing time. At age 2, children's total SVT averaged 2.4 ± 2.2 (mean ± SD) hours/day, including 1.6 ± 1.6 and 0.7 ± 1.0 h/day for television and hand-held devices, respectively. At age 3, hand-held device SVT was 0.3 (95% CI: 0.2, 0.4) hours/day higher, while no increases were observed for other devices. SVT tracked moderately from 2 to 3 years (r = 0.49, p < 0.0001). Compared to Chinese children, Malay and Indian children spent 1.04 (0.66, 1.41) and 0.54 (0.15, 0.94) more hours/day watching screens, respectively. Other predictors of longer SVT were younger maternal age, lower maternal education, and longer parental television time. In our cohort, the main predictors of longer children's SVT were Malay and Indian ethnicity, younger maternal age, lower education and longer parental television viewing time. Our study may help target populations for future interventions in Asia, but also in other technology-centered societies. This ongoing study was first registered on July 1, 2010 on NCT01174875 as. Retrospectively registered.
Chien, Ching-Hui; Chuang, Cheng-Keng; Liu, Kuan-Lin; Huang, Xuan-Yi; Pang, See-Tong; Wu, Chun-Te; Chang, Ying-Hsu; Liu, Hsueh-Erh
2017-12-01
To determine the individual and mutual predictors of the marital satisfaction of couples in which the husband experienced prostate cancer. Marital satisfaction of patients with prostate cancer has been insufficiently studied in Asian countries as compared with Western countries. This study used a prospective and repeated-measures design. Seventy Taiwanese couples in which the husband had prostate cancer completed measures at 6 and 12 months post-treatment. Assessments of physical symptoms, marital satisfaction, coping behaviour and psychological distress were made. Multiple linear regression was used to analyse the data. The marital satisfaction of patients with prostate cancer and that of their spouses were significantly correlated. At 6 months, spouses' marital satisfaction, patients' appraisal of prostate cancer as a threat and patients' serum prostate-specific antigen levels were found to be the predictors of patients' marital satisfaction. Furthermore, patients' marital satisfaction and their spouses' psychological distress were predictors of spouses' marital satisfaction. At 12 months, spouses' marital satisfaction and patients' appraisal of prostate cancer as harm were predictors of patients' marital satisfaction. Finally, spouses' marital satisfaction (at 6 months) and appraisal of prostate cancer as a threat were predictors of spouses' marital satisfaction. At 6 months post-treatment, patients' and spouses' marital satisfaction will influence each other. However, at 12 months, patients' marital satisfaction exerts an insignificant effect on spouses' marital satisfaction. Moreover, patients' serum prostate-specific antigen level or the negative appraisal of prostate cancer affects their marital satisfaction. Spouses' marital satisfaction is affected by psychological distress and their negative appraisal of prostate cancer. The results can be used to develop interventions for prostate cancer couples. Such an intervention can be used to modify couples' appraisal of prostate cancer by changing incorrect thinking or to ease the psychological distress to improve marital satisfaction. © 2017 John Wiley & Sons Ltd.
Mauderly, Joe L; Seilkop, Steven K
2014-09-01
An approach to identify causal components of complex air pollution mixtures was explored. Rats and mice were exposed by inhalation 6 h daily for 1 week or 6 months to dilutions of simulated downwind coal emissions, diesel and gasoline exhausts and wood smoke. Organ weights, hematology, serum chemistry, bronchoalveolar lavage, central vascular and respiratory allergic responses were measured. Multiple additive regression tree (MART) analysis of the combined database ranked 45 exposure (predictor) variables for importance to models best fitting 47 significant responses. Single-predictor concentration-response data were examined for evidence of single response functions across all exposure groups. Replication of the responses by the combined influences of the two most important predictors was tested. Statistical power was limited by inclusion of only four mixtures, albeit in multiple concentrations each and with particles removed for some groups. Results gave suggestive or strong evidence of causation of 19 of the 47 responses. The top two predictors of the 19 responses included only 12 organic and 6 inorganic species or classes. An increase in red blood cell count of rats by ammonia and pro-atherosclerotic vascular responses of mice by inorganic gases yielded the strongest evidence for causation and the best opportunity for confirmation. The former was a novel finding; the latter was consistent with other results. The results demonstrated the plausibility of identifying putative causal components of highly complex mixtures, given a database in which the ratios of the components are varied sufficiently and exposures and response measurements are conducted using a consistent protocol.
Difficulties with Regression Analysis of Age-Adjusted Rates.
1982-09-01
variables used in those analyses, such as death rates in various states, have been age adjusted, whereas the predictor variables have not been age adjusted...The use of crude state death rates as the outcome variable with crude covariates and age as predictors can avoid the problem, at least under some...should be regressed on age-adjusted exposure Z+B+ Although age-specific death rates , Yas+’ may be available, it is often difficult to obtain age
2015-10-30
predictors of ACL injury.25 189 Several studies investigate the effects of faulty movement and injury 190 prediction for the lower extremity. In 2006...at 40% and 39% of the total injuries, respectively.16 In 2012, 83 193 NCAA Division I football players participated in a survey to assess low back...recent study , firefighters performed the FMS™ and firefighter-specific testing. Two 218 of the musculoskeletal movement variables were predictive of
Health Value and Self-Esteem as Predictors of Wellness Behavior.
ERIC Educational Resources Information Center
Abood, Doris A.; Conway, Terry L.
1992-01-01
Study examined relationships between self-esteem, health values, specific health behaviors, and general practice of wellness behaviors in Navy personnel. Lifestyle surveys indicated health values predicted specific health behaviors and general practice of wellness behaviors. After controlling for health values, self-esteem predicted general…
Working Memory Updating as a Predictor of Academic Attainment
ERIC Educational Resources Information Center
Lechuga, M. Teresa; Pelegrina, Santiago; Pelaez, Jose L.; Martin-Puga, M. Eva; Justicia, M. Jose
2016-01-01
There is growing evidence supporting the importance of executive functions, and specifically working memory updating (WMU), for children's academic achievement. This study aimed to assess the specific contribution of updating to the prediction of academic performance. Two updating tasks, which included different updating components, were…
Forms of non-suicidal self-injury as a function of trait aggression.
Kleiman, Evan M; Ammerman, Brooke A; Kulper, Daniel A; Uyeji, Lauren L; Jenkins, Abigail L; McCloskey, Michael S
2015-05-01
To date, the considerable body of research on predictors of non-suicidal self-injury (NSSI) has conceptualized NSSI as a unitary construct despite the fact that NSSI can exist in many forms (e.g., hitting, cutting, burning). The goal of the present study is to examine differential prediction of forms of NSSI. Specifically, we examined trait aggression as a predictor of more aggressive forms of NSSI (i.e., hitting). We hypothesized that higher trait aggression would differentiate those who engaged in hitting forms of NSSI from those who did not, whereas other factors (i.e., emotion regulation and trait anger) would serve as a non-specific predictor of NSSI. We also hypothesized that higher trait aggression would be related to lifetime frequency of hitting NSSI, but not other forms of NSSI, whereas emotion regulation and anger would act as predictors of other forms of NSSI. To test these hypotheses, a large sample of young adults completed measures of trait aggression, trait anger, emotion regulation, and NSSI behaviors. Results were generally in line with our hypotheses. Higher levels of trait aggression differentiated those who engaged in hitting NSSI from those who did not and was also associated with greater frequency of hitting NSSI. These results imply that different factors predict different forms of NSSI and that NSSI may be best examined as a multi-faceted construct. Copyright © 2015 Elsevier Inc. All rights reserved.
Walia, Rasna R; Caragea, Cornelia; Lewis, Benjamin A; Towfic, Fadi; Terribilini, Michael; El-Manzalawy, Yasser; Dobbs, Drena; Honavar, Vasant
2012-05-10
RNA molecules play diverse functional and structural roles in cells. They function as messengers for transferring genetic information from DNA to proteins, as the primary genetic material in many viruses, as catalysts (ribozymes) important for protein synthesis and RNA processing, and as essential and ubiquitous regulators of gene expression in living organisms. Many of these functions depend on precisely orchestrated interactions between RNA molecules and specific proteins in cells. Understanding the molecular mechanisms by which proteins recognize and bind RNA is essential for comprehending the functional implications of these interactions, but the recognition 'code' that mediates interactions between proteins and RNA is not yet understood. Success in deciphering this code would dramatically impact the development of new therapeutic strategies for intervening in devastating diseases such as AIDS and cancer. Because of the high cost of experimental determination of protein-RNA interfaces, there is an increasing reliance on statistical machine learning methods for training predictors of RNA-binding residues in proteins. However, because of differences in the choice of datasets, performance measures, and data representations used, it has been difficult to obtain an accurate assessment of the current state of the art in protein-RNA interface prediction. We provide a review of published approaches for predicting RNA-binding residues in proteins and a systematic comparison and critical assessment of protein-RNA interface residue predictors trained using these approaches on three carefully curated non-redundant datasets. We directly compare two widely used machine learning algorithms (Naïve Bayes (NB) and Support Vector Machine (SVM)) using three different data representations in which features are encoded using either sequence- or structure-based windows. Our results show that (i) Sequence-based classifiers that use a position-specific scoring matrix (PSSM)-based representation (PSSMSeq) outperform those that use an amino acid identity based representation (IDSeq) or a smoothed PSSM (SmoPSSMSeq); (ii) Structure-based classifiers that use smoothed PSSM representation (SmoPSSMStr) outperform those that use PSSM (PSSMStr) as well as sequence identity based representation (IDStr). PSSMSeq classifiers, when tested on an independent test set of 44 proteins, achieve performance that is comparable to that of three state-of-the-art structure-based predictors (including those that exploit geometric features) in terms of Matthews Correlation Coefficient (MCC), although the structure-based methods achieve substantially higher Specificity (albeit at the expense of Sensitivity) compared to sequence-based methods. We also find that the expected performance of the classifiers on a residue level can be markedly different from that on a protein level. Our experiments show that the classifiers trained on three different non-redundant protein-RNA interface datasets achieve comparable cross-validation performance. However, we find that the results are significantly affected by differences in the distance threshold used to define interface residues. Our results demonstrate that protein-RNA interface residue predictors that use a PSSM-based encoding of sequence windows outperform classifiers that use other encodings of sequence windows. While structure-based methods that exploit geometric features can yield significant increases in the Specificity of protein-RNA interface residue predictions, such increases are offset by decreases in Sensitivity. These results underscore the importance of comparing alternative methods using rigorous statistical procedures, multiple performance measures, and datasets that are constructed based on several alternative definitions of interface residues and redundancy cutoffs as well as including evaluations on independent test sets into the comparisons.
Ivanovic, Jugoslav; Larsson, Pål G; Østby, Ylva; Hald, John; Krossnes, Bård K; Fjeld, Jan G; Pripp, Are H; Alfstad, Kristin Å; Egge, Arild; Stanisic, Milo
2017-05-01
Seizure outcome following surgery in pharmacoresistant temporal lobe epilepsy patients with normal magnetic resonance imaging and normal or non-specific histopathology is not sufficiently presented in the literature. In a retrospective design, we reviewed data of 263 patients who had undergone temporal lobe epilepsy surgery and identified 26 (9.9%) who met the inclusion criteria. Seizure outcomes were determined at 2-year follow-up. Potential predictors of Engel class I (satisfactory outcome) were identified by logistic regression analyses. Engel class I outcome was achieved in 61.5% of patients, 50% being completely seizure free (Engel class IA outcome). The strongest predictors of satisfactory outcome were typical ictal seizure semiology (p = 0.048) and localised ictal discharges on scalp EEG (p = 0.036). Surgery might be an effective treatment choice for the majority of these patients, although outcomes are less favourable than in patients with magnetic resonance imaging-defined lesional temporal lobe epilepsy. Typical ictal seizure semiology and localised ictal discharges on scalp EEG were predictors of Engel class I outcome.
Siebert, Uwe; Wurm, Johannes; Gothe, Raffaella Matteucci; Arvandi, Marjan; Vavricka, Stephan R; von Känel, Roland; Begré, Stefan; Sulz, Michael C; Meyenberger, Christa; Sagmeister, Markus
2013-01-01
Inflammatory bowel disease can decrease the quality of life and induce work disability. We sought to (1) identify and quantify the predictors of disease-specific work disability in patients with inflammatory bowel disease and (2) assess the suitability of using cross-sectional data to predict future outcomes, using the Swiss Inflammatory Bowel Disease Cohort Study data. A total of 1187 patients were enrolled and followed up for an average of 13 months. Predictors included patient and disease characteristics and drug utilization. Potential predictors were identified through an expert panel and published literature. We estimated adjusted effect estimates with 95% confidence intervals using logistic and zero-inflated Poisson regression. Overall, 699 (58.9%) experienced Crohn's disease and 488 (41.1%) had ulcerative colitis. Most important predictors for temporary work disability in patients with Crohn's disease included gender, disease duration, disease activity, C-reactive protein level, smoking, depressive symptoms, fistulas, extraintestinal manifestations, and the use of immunosuppressants/steroids. Temporary work disability in patients with ulcerative colitis was associated with age, disease duration, disease activity, and the use of steroids/antibiotics. In all patients, disease activity emerged as the only predictor of permanent work disability. Comparing data at enrollment versus follow-up yielded substantial differences regarding disability and predictors, with follow-up data showing greater predictor effects. We identified predictors of work disability in patients with Crohn's disease and ulcerative colitis. Our findings can help in forecasting these disease courses and guide the choice of appropriate measures to prevent adverse outcomes. Comparing cross-sectional and longitudinal data showed that the conduction of cohort studies is inevitable for the examination of disability.
Song, Yong Sub; Kim, Ji-Hoon; Na, Dong Gyu; Min, Hye Sook; Won, Jae-Kyung; Yun, Tae Jin; Choi, Seung Hong; Sohn, Chul-Ho
2016-08-01
We evaluate the gray-scale ultrasonographic characteristics that differentiate between nodular hyperplasia (NH) and neoplastic follicular-patterned lesions (NFPLs) of the thyroid gland. Ultrasonographic features of 750 patients with 832 thyroid nodules (NH, n = 361; or NFPLs, follicular adenoma, n = 123; follicular carcinoma, n = 159; and follicular variant papillary carcinoma, n = 189) were analyzed. Except for echogenicity, over two-thirds of the cases of NH and NFPLs share the ultrasonographic characteristics of solid internal content, a well-defined smooth margin and round-to-ovoid shape. Independent predictors for NH were non-solid internal content (sensitivity 27.1%, specificity 90.2%), isoechogenicity (sensitivity 69.5%, specificity 63.5%) and an ill-defined margin (sensitivity 18.8%, specificity 94.5%). Independent predictors for NFPLs were hypoechogenicity (sensitivity 60.5%, specificity 70.4%), marked hypoechogenicity (sensitivity 2.8%, specificity 99.4%) and taller-than-wide shape (sensitivity 6.6%, specificity 98.1%). Although NH and NFPLs commonly share ultrasonographic characteristics, non-solid internal content and ill-defined margin are specific to NH and marked hypoechogenicity and taller-than-wide shape are specific to NFPLs. Copyright © 2016 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.
Plant Water Content is the Best Predictor of Drought-induced Mortality
NASA Astrophysics Data System (ADS)
Sapes, G.; Roskilly, B.; Dobrowski, S.; Sala, A.
2017-12-01
Predicting drought-induced forest mortality remains extremely challenging. Recent research has shown that both plant hydraulics and stored non-structural carbohydrates (NSC) interact during drought-induced mortality. The strong interaction between these two variables and the fact that they are both difficult to measure render drought-induced plant mortality extremely difficult to monitor and predict. A variable that is easier to measure and that integrates hydraulic transport and carbohydrate dynamics may, therefore, improve our ability to monitor and predict mortality. Here, we tested whether plant water content is such an integrator variable and, therefore, a better predictor of mortality under drought. We subjected 250 two-year-old ponderosa pine seedlings to drought until they died in a greenhouse experiment. Periodically during the dry down, we measured percent loss of hydraulic conductivity (PLC), NSC concentration (starch and soluble sugars), and tissue volumetric water content (VWC) in roots, stems and leaves. At each measurement time, a separate set of seedlings were re-watered to estimate the probability of mortality at the population level. Linear models were used to explore whether PLC and NSC were linked to VWC and to determine which of the three variables predicted mortality the best. As expected, plants lost hydraulic conductivity in stems and roots during the dry down. Starch concentrations also decreased in all organs as the drought proceeded. In contrast, soluble sugars increased in stems and roots, consistent with the conversion of stored NSCs into osmotically active compounds. Models containing both PLC and NSC concentrations as predictors of VWC were highly significant in all organs and at the whole plant level, indicating that water content is influenced by both PLC and NSCs. PLC, NSC, and VWC explained mortality across organs and at the whole plant level, but VWC was the best predictor (R2 = 0.99). Our results indicate that plant water content integrates plant hydraulics and carbohydrate availability, two factors commonly interacting and difficult to tease apart. An important advantage of water content is that it is very easy to measure across scales, from leaves to entire ecosystems through remote sensing.
What are the most crucial soil factors for predicting the distribution of alpine plant species?
NASA Astrophysics Data System (ADS)
Buri, A.; Pinto-Figueroa, E.; Yashiro, E.; Guisan, A.
2017-12-01
Nowadays the use of species distribution models (SDM) is common to predict in space and time the distribution of organisms living in the critical zone. The realized environmental niche concept behind the development of SDM imply that many environmental factors must be accounted for simultaneously to predict species distributions. Climatic and topographic factors are often primary included, whereas soil factors are frequently neglected, mainly due to the paucity of soil information available spatially and temporally. Furthermore, among existing studies, most included soil pH only, or few other soil parameters. In this study we aimed at identifying what are the most crucial soil factors for explaining alpine plant distributions and, among those identified, which ones further improve the predictive power of plant SDMs. To test the relative importance of the soil factors, we performed plant SDMs using as predictors 52 measured soil properties of various types such as organic/inorganic compounds, chemical/physical properties, water related variables, mineral composition or grain size distribution. We added them separately to a standard set of topo-climatic predictors (temperature, slope, solar radiation and topographic position). We used ensemble forecasting techniques combining together several predictive algorithms to model the distribution of 116 plant species over 250 sites in the Swiss Alps. We recorded the variable importance for each model and compared the quality of the models including different soil proprieties (one at a time) as predictors to models having only topo-climatic variables as predictors. Results show that 46% of the soil proprieties tested become the second most important variable, after air temperature, to explain spatial distribution of alpine plants species. Moreover, we also assessed that addition of certain soil factors, such as bulk soil water density, could improve over 80% the quality of some plant species models. We confirm that soil pH remains one of the most important soil factor for predicting plant species distributions, closely followed by water, organic and inorganic carbon related properties. Finally, we were able to extract three main categories of important soil properties for plant species distributions: grain size distribution, acidity and water in the soil.
Family and school environmental predictors of sleep bruxism in children.
Rossi, Debora; Manfredini, Daniele
2013-01-01
To identify potential predictors of self-reported sleep bruxism (SB) within children's family and school environments. A total of 65 primary school children (55.4% males, mean age 9.3 ± 1.9 years) were administered a 10-item questionnaire investigating the prevalence of self-reported SB as well as nine family and school-related potential bruxism predictors. Regression analyses were performed to assess the correlation between the potential predictors and SB. A positive answer to the self-reported SB item was endorsed by 18.8% of subjects, with no sex differences. Multiple variable regression analysis identified a final model showing that having divorced parents and not falling asleep easily were the only two weak predictors of self-reported SB. The percentage of explained variance for SB by the final multiple regression model was 13.3% (Nagelkerke's R² = 0.133). While having a high specificity and a good negative predictive value, the model showed unacceptable sensitivity and positive predictive values. The resulting accuracy to predict the presence of self-reported SB was 73.8%. The present investigation suggested that, among family and school-related matters, having divorced parents and not falling asleep easily were two predictors, even if weak, of a child's self-report of SB.
Can You Hack It? Validating Predictors for IT Boot Camps
NASA Astrophysics Data System (ADS)
Gear, Courtney C.
Given the large number of information technology jobs open and lack of qualified individuals to fill them, coding boot camps have sprung up in response to this skill gap by offering a specialized training program in an accelerated format. This fast growth has created a need to measure these training programs and understand their effectiveness. In the present study, a series of analyses examined whether specific or combinations of predictors were valid for training performance in this coding academy. Self-rated, daily efficacy scores were used as outcome variables of training success and correlation results showed a positive relationship with efficacy scores and the logic test score as a predictor. Exploratory analyses indicated a Dunning-Kruger effect where students with lower education levels experience higher overall mood during the training program. Limitations of the study included small sample size, severe range restriction in predictor scores, lack of variance in predictor scores, and low variability in training program success. These limitations made identifying jumps between training stages difficult to identify. By identifying which predictors matter most for each stage of skill acquisition, further research should consider more objective variables such as instructor scores which can serve as a guideline to better asses what stage learners join at and how to design curriculum and assignments accordingly (Honken, 2013).
Predictors of subjective health status 10 years post-PCI.
van den Berge, Jan C; Dulfer, Karolijn; Utens, Elisabeth M W J; Hartman, Eline M J; Daemen, Joost; van Geuns, Robert J; van Domburg, Ron T
2016-06-01
Subjective health status is an increasingly important parameter to assess the effect of percutaneous coronary intervention (PCI) in clinical practice. Aim of this study was to determine medical and psychosocial predictors of poor subjective health status over a 10 years' post-PCI period. We included a series of consecutive PCI patients (n = 573) as part of the RESEARCH registry, a Dutch single-center retrospective cohort study. These patients completed the 36-item Short-Form Health Survey (SF-36) at baseline and 10 years post-PCI. We found 6 predictors of poor subjective health status 10 years post-PCI: SF-36 at baseline, age, previous PCI, obesity, acute myocardial infarction as indication for PCI, and diabetes mellitus (arranged from most to least numbers of sub domains). SF-36 scores at baseline, age, and previous PCI were significant predictors of subjective health status 10 years post-PCI. Specifically, the SF-36 score at baseline was an important predictor. Thus assessment of subjective health status at baseline is useful as an indicator to predict long-term subjective health status. Subjective health status becomes better by optimal medical treatment, cardiac rehabilitation and psychosocial support. This is the first study determining predictors of subjective health status 10 years post-PCI.
Predictors of the Perception of Smoking Health Risks in Smokers With or Without Schizophrenia.
Kowalczyk, William J; Wehring, Heidi J; Burton, George; Raley, Heather; Feldman, Stephanie; Heishman, Stephen J; Kelly, Deanna L
2017-01-01
This study sought to examine the predictors of health risk perception in smokers with or without schizophrenia. The health risk subscale from the Smoking Consequences Questionnaire was dichotomized and used to measure health risk perception in smokers with (n = 67) and without schizophrenia (n = 100). A backward stepwise logistic regression was conducted using variables associated at the bivariate level to determine multivariate predictors. Overall, 62.5% of smokers without schizophrenia and 40.3% of smokers with schizophrenia completely recognize the health risks of smoking (p ≤ .01). Multivariate predictors for smokers without schizophrenia included: sex (Exp (B) = .3; p < .05), Smoking Consequences Questionnaire state enhancement (Exp (B) = .69; p < .01), and craving relief (Exp (B) = 1.8; p < .01). Among smokers with schizophrenia, predictors were education (Exp (B) = .7; p < .05), nicotine dependence (Exp (B) = .5; p < .01), motivation to quit (Exp (B) = 1.8; p < .01), and Smoking Consequences Questionnaire craving relief (Exp (B) = 1.8; p < .01). There was overlap and differences between predictors in smokers with and without schizophrenia. Commonly used techniques for education on the health consequences of cigarettes may work in smokers with schizophrenia, but intervention efforts specifically tailored to smokers with schizophrenia might be more efficacious.
Predictors of the Perception of Smoking Health Risks in Smokers With or Without Schizophrenia
Kowalczyk, William J.; Wehring, Heidi J.; Burton, George; Raley, Heather; Feldman, Stephanie; Heishman, Stephen J.; Kelly, Deanna L.
2017-01-01
Objective This study sought to examine the predictors of health risk perception in smokers with or without schizophrenia. Methods The health risk subscale from the Smoking Consequences Questionnaire was dichotomized and used to measure health risk perception in smokers with (n = 67) and without schizophrenia (n = 100). A backward stepwise logistic regression was conducted using variables associated at the bivariate level to determine multivariate predictors. Results Overall, 62.5% of smokers without schizophrenia and 40.3% of smokers with schizophrenia completely recognize the health risks of smoking (p ≤ .01). Multivariate predictors for smokers without schizophrenia included: sex (Exp (B) = .3; p < .05), Smoking Consequences Questionnaire state enhancement (Exp (B) = .69; p < .01), and craving relief (Exp (B) = 1.8; p < .01). Among smokers with schizophrenia, predictors were education (Exp (B) = .7; p < .05), nicotine dependence (Exp (B) = .5; p < .01), motivation to quit (Exp (B) = 1.8; p < .01), and Smoking Consequences Questionnaire craving relief (Exp (B) = 1.8; p < .01). Conclusions There was overlap and differences between predictors in smokers with and without schizophrenia. Commonly used techniques for education on the health consequences of cigarettes may work in smokers with schizophrenia, but intervention efforts specifically tailored to smokers with schizophrenia might be more efficacious. PMID:27858591
Hospital collaboration with public safety organizations on bioterrorism response.
Niska, Richard W
2008-01-01
To identify hospital characteristics that predict collaboration with public safety organizations on bioterrorism response plans and mass casualty drills. The 2003 and 2004 Bioterrorism and Mass Casualty Supplements to the National Hospital Ambulatory Medical Care Survey examined collaboration with emergency medical services (EMS), hazardous materials teams (HAZMAT), fire departments, and law enforcement. The sample included 112 geographic primary sampling units and 1,110 hospitals. Data were weighted by inverse selection probability, to yield nationally representative estimates. Characteristics included residency and medical school affiliation, bed capacity, ownership, urbanicity and Joint Commission accreditation. The response rate was 84.6%. Chi-square analysis was performed with alpha set at p < 0.05. Logistic regression modeling yielded odds ratios with 95% confidence intervals. During a bioterrorism incident, 68.9% of hospitals would contact EMS, 68.7% percent law enforcement, 61.6% fire departments, 58.1% HAZMAT, and 42.8% all four. About 74.2% had staged mass casualty drills with EMS, 70.4% with fire departments, 67.4% with law enforcement, 43.3% with HAZMAT, and 37.0% with all four. Predictors of drilling with some or all of these public safety organizations included larger bed capacity, nonprofit and proprietary ownership, and JCAHO accreditation. Medical school affiliation was a negative predictor of drilling with EMS. The majority of hospitals involve public safety organizations in their emergency plans or drills. Bed capacity was most predictive of drilling with these organizations. Medical school affiliation was the only characteristic negatively associated with drilling.
Improving organ donation rates by modifying the family approach process.
Ebadat, Aileen; Brown, Carlos V R; Ali, Sadia; Guitierrez, Tim; Elliot, Eric; Dworaczyk, Sarah; Kadric, Carie; Coopwood, Ben
2014-06-01
The purpose of this study was to identify steps during family approach for organ donation that may be modified to improve consent rates of potential organ donors. Retrospective study of our local organ procurement organization (OPO) database of potential organ donors. Modifiable variables involved in the family approach of potential organ donors were collected and included race and sex of OPO representative, individual initiating approach discussion with family (RN or MD vs. OPO), length of donation discussion, use of a translator, and time of day of approach. Of 1137 potential organ donors, 661 (58%) consented and 476 (42%) declined. Consent rates were higher with matched race of donor and OPO representative (66% vs. 52%, p < 0.001), family approach by female OPO representative (67% vs. 56%, p = 0.002), if approach was initiated by OPO representative (69% vs. 49%, p < 0.001), and if consent rate was dependent on time of day the approach occurred: 6:00 am to noon (56%), noon to 6:00 pm (67%), 6:00 pm to midnight (68%), and midnight to 6:00 am (45%), p = 0.04. Family approach that led to consent lasted longer than those declining (67 vs. 43 minutes, p < 0.001). Independent predictors of consent to donation included female OPO representative (odds ratio [OR], 1.7; p = 0.006), approach discussion initiated by OPO representative (OR, 1.9; p = 0.001), and longer approach discussions (OR, 1.02; p < 0.001). The independent predictor of declined donation was the use of a translator (OR, 0.39; p = 0.01). Variables such as race and sex of OPO representative and time of day should be considered before approaching a family for organ donation. Avoiding translators during the approach process may improve donation rates. Education for health care providers should reinforce the importance of allowing OPO representatives to initiate the family approach for organ donation. Epidemiologic study, level IV. Therapeutic study, level IV.
Predictors of Donor Heart Utilization for Transplantation in United States.
Trivedi, Jaimin R; Cheng, Allen; Gallo, Michele; Schumer, Erin M; Massey, H Todd; Slaughter, Mark S
2017-06-01
Optimum use of donor organs can increase the reach of the transplantation therapy to more patients on waiting list. The heart transplantation (HTx) has remained stagnant in United States over the past decade at approximately 2,500 HTx annually. With the use of the United Network of Organ Sharing (UNOS) deceased donor database (DCD) we aimed to evaluate donor factors predicting donor heart utilization. UNOS DCD was queried from 2005 to 2014 to identify total number of donors who had at least one of their organs donated. We then generated a multivariate logistic regression model using various demographic and clinical donor factors to predict donor heart use for HTx. Donor hearts not recovered due to consent or family issues or recovered for nontransplantation reasons were excluded from the analysis. During the study period there were 80,782 donors of which 23,606 (29%) were used for HTx, and 38,877 transplants (48%) were not used after obtaining consent because of poor organ function (37%), donor medical history (13%), and organ refused by all programs (5%). Of all, 22,791 donors with complete data were used for logistic regression (13,389 HTx, 9,402 no-HTx) which showed significant predictors of donor heart use for HTx. From this model we assigned probability of donor heart use and identified 3,070 donors with HTx-eligible unused hearts for reasons of poor organ function (28%), organ refused by all programs (15%), and recipient not located (9%). An objective system based on donor factors can predict donor heart use for HTx and may help increase availability of hearts for transplantation from existing donor pool. Copyright © 2017 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.
Dissolved organic carbon and its potential predictors in eutrophic lakes.
Toming, Kaire; Kutser, Tiit; Tuvikene, Lea; Viik, Malle; Nõges, Tiina
2016-10-01
Understanding of the true role of lakes in the global carbon cycle requires reliable estimates of dissolved organic carbon (DOC) and there is a strong need to develop remote sensing methods for mapping lake carbon content at larger regional and global scales. Part of DOC is optically inactive. Therefore, lake DOC content cannot be mapped directly. The objectives of the current study were to estimate the relationships of DOC and other water and environmental variables in order to find the best proxy for remote sensing mapping of lake DOC. The Boosted Regression Trees approach was used to clarify in which relative proportions different water and environmental variables determine DOC. In a studied large and shallow eutrophic lake the concentrations of DOC and coloured dissolved organic matter (CDOM) were rather high while the seasonal and interannual variability of DOC concentrations was small. The relationships between DOC and other water and environmental variables varied seasonally and interannually and it was challenging to find proxies for describing seasonal cycle of DOC. Chlorophyll a (Chl a), total suspended matter and Secchi depth were correlated with DOC and therefore are possible proxies for remote sensing of seasonal changes of DOC in ice free period, while for long term interannual changes transparency-related variables are relevant as DOC proxies. CDOM did not appear to be a good predictor of the seasonality of DOC concentration in Lake Võrtsjärv since the CDOM-DOC coupling varied seasonally. However, combining the data from Võrtsjärv with the published data from six other eutrophic lakes in the world showed that CDOM was the most powerful predictor of DOC and can be used in remote sensing of DOC concentrations in eutrophic lakes. Copyright © 2016 Elsevier Ltd. All rights reserved.
Predictors of Residual Disease after Unplanned Excision of Soft Tissue Sarcomas
Gingrich, Alicia A.; Elias, Alexandra; Michael Lee, Chia-Yuan; Nakache, Yves-Paul N.; Li, Chin-Shang; Shah, Dhruvil R.; Boutin, Robert D.; Canter, Robert J.
2016-01-01
Background Unplanned excision of soft tissue sarcomas (STS) is an important quality of care issue given the morbidity related to tumor bed excision. Since not all patients harbor residual disease at the time of re-excision, we sought to determine predictors of residual STS following unplanned excision. Methods We identified 76 patients from a prospective database (1/1/2008 – 9/30/2014) who received a diagnosis of primary STS following unplanned excision on the trunk or extremities. We used univariable and multivariable analyses to evaluate predictors of residual STS as the primary endpoint. We calculated the sensitivity/specificity and accuracy of interval magnetic resonance imaging (MRI) to predict residual sarcoma at re-excision. Results Mean age was 52 years, and 63.2% were male. 50% had fragmented unplanned excision. Among patients undergoing re-excision, residual STS was identified in 70%. On univariable analysis, MRI showing gross disease and fragmented excision were significant predictors of residual STS (OR 10.59, 95% CI 2.14–52.49, P=0.004 and OR 3.61, 95% CI 1.09–11.94, P=0.035, respectively). On multivariable analysis, tumor size predicted distant recurrence and overall survival. When we combined equivocal and positive MRI, the sensitivity and specificity of MRI for predicting residual STS were 86.7% (95% CI 73.2–95.0%) and 57.9% (95% CI 33.5–79.8%), with an overall accuracy of 78.1% (95% CI 66.0–87.5%). Conclusions 70% of patients undergoing repeat excision after unplanned excision of STS harbor residual sarcoma. Although interval MRI and fragmented excision appear to be the most significant predictors of residual STS, the accuracy of MRI remains modest, especially given the incidence of equivocal MRI. PMID:27993214
Identification of Hypotensive Emergency Department Patients with Cardiogenic Etiologies.
Henning, Daniel J; Kearney, Kathleen E; Hall, Michael Kennedy; Mahr, Claudius; Shapiro, Nathan I; Nichol, Graham
2018-02-01
Identify predictors of cardiogenic etiology among emergency department (ED) patients with hypotension, and use these predictors to create a clinical tool to discern cardiogenic etiology of hypotension. This secondary analysis evaluated a prospective cohort of consecutive patients with hypotension in an urban, academic, tertiary care ED from November 2012 to September 2013. We included adults with hypotension, defined as a new vasopressor requirement, systolic blood pressure (SBP) < 90 mm Hg after at least 1 L of crystalloid or 2 units packed red blood cells, or SBP < 90 mm Hg and fluids withheld due to concern for fluid overload. The primary outcome was cardiogenic etiology, adjudicated by two physician chart review, with 25% paired chart review (kappa = 0.92). We used multivariable logistic regression to predict cardiogenic etiology, utilizing clinical data abstracted from the electronic medical record. We created a prediction score from significant covariates and calculated its test characteristics for cardiogenic hypotension. Of 700 patients with hypotension, 107 (15.3%, 95% CI: 12.6%-18.0%) had cardiogenic etiology. Independent predictors of cardiogenic etiology were shortness of breath (OR 4.1, 95% CI: 2.5-6.7), troponin > 0.1 ng/mL (37.5, 7.1-198.2), electrocardiographic ischemia (8.9, 4.0-19.8), history of heart failure (2.0, 1.1-3.3), and absence of fever (4.5, 2.3-8.7) (area under the curve [AUC] = 0.83). The prediction score created from these predictors yielded 78% sensitivity and 77% specificity for cardiogenic etiology (AUC = 0.827). Clinical predictors offer reasonable ED screening sensitivity for cardiogenic hypotension, while demonstrating sufficient specificity to facilitate early cardiac interventions.
Clinical predictors of acute radiological pneumonia and hypoxaemia at high altitude.
Lozano, J M; Steinhoff, M; Ruiz, J G; Mesa, M L; Martinez, N; Dussan, B
1994-01-01
Fast breathing has been recommended as a predictor of childhood pneumonia. Children living at high altitude, however, may breathe faster in response to the lower oxygen partial pressure, which may change the accuracy of prediction of a high respiratory rate. To assess the usefulness of clinical manifestations in the diagnosis of radiological pneumonia or hypoxaemia, or both, at high altitude (2640 m above sea level), 200 children aged 7 days to 36 months presenting to an urban emergency room with cough lasting less than seven days were studied. Parents were interviewed and the children evaluated using standard forms. The results of chest radiographs and pulse oximetry obtained after clinical examination were interpreted blind. Radiological pneumonia and haemoglobin oxygen saturation < 88% were used as 'gold standards'. One hundred and thirty (65%) and 125 (63%) children had radiological pneumonia and hypoxaemia respectively. Crepitations and decreased breath sounds were statistically associated with pneumonia, and rapid breathing as perceived by the child's mother, chest retractions, nasal flaring, and crepitations with hypoxaemia. The best single predictor of the presence of pneumonia is a high respiratory rate, although the results are not as good as those reported by other studies. A respiratory rate > or = 50/minute had good sensitivity (76%) and specificity (71%) for hypoxaemia in infants. Hypoxaemia had a good sensitivity and specificity for pneumonia mainly in infants (83% and 73%, respectively). Logistic regression analysis showed that decreased or increased respiratory sounds and crepitations were associated with pneumonia, and that hypoxaemia is the best predictor when auscultatory findings are excluded. These results suggest that some clinical predictors appear to be less accurate in Bogota than in places at lower altitude, and that pulse oximetry can be used for predicting pneumonia. PMID:7979525
Jones, Eric C; Faas, Albert J; Murphy, Arthur D; Tobin, Graham A; Whiteford, Linda M; McCarty, Christopher
2013-03-01
Although virtually all comparative research about risk perception focuses on which hazards are of concern to people in different culture groups, much can be gained by focusing on predictors of levels of risk perception in various countries and places. In this case, we examine standard and novel predictors of risk perception in seven sites among communities affected by a flood in Mexico (one site) and volcanic eruptions in Mexico (one site) and Ecuador (five sites). We conducted more than 450 interviews with questions about how people feel at the time (after the disaster) regarding what happened in the past, their current concerns, and their expectations for the future. We explore how aspects of the context in which people live have an effect on how strongly people perceive natural hazards in relationship with demographic, well-being, and social network factors. Generally, our research indicates that levels of risk perception for past, present, and future aspects of a specific hazard are similar across these two countries and seven sites. However, these contexts produced different predictors of risk perception-in other words, there was little overlap between sites in the variables that predicted the past, present, or future aspects of risk perception in each site. Generally, current stress was related to perception of past danger of an event in the Mexican sites, but not in Ecuador; network variables were mainly important for perception of past danger (rather than future or present danger), although specific network correlates varied from site to site across the countries.
Perception of Personal Civic Responsibility among Undergraduate Students at the University of Kansas
ERIC Educational Resources Information Center
Everhart, Clinton Dale
2017-01-01
This study identified predictors of student perceptions of personal civic responsibility (civic-mindedness) among undergraduate students at the University of Kansas (KU). Using KU-specific data from the 2015 Multi-Institutional Study of Leadership (MSL), relationships between student interaction with specific components of the KU institutional…
ERIC Educational Resources Information Center
Lemelin, Jean-Pascal; Tarabulsy, George M.; Provost, Marc A.
2006-01-01
This longitudinal study investigated the relative contributions of infant temperament, maternal sensitivity, and psychosocial risk to individual differences in preschool children's cognitive development. It also examined specific moderating effects between predictors as well as the specific mediating role of maternal sensitivity in the relation…
Smoking among Dutch Elementary Schoolchildren: Gender-Specific Predictors
ERIC Educational Resources Information Center
Ausems, M.; Mesters, I.; van Breukelen, G.; De Vries, H.
2009-01-01
Higher rates of smoking initiation and continuation by female compared with male adolescents, as found in many developed countries, may call for gender-specific prevention programs. Risk factors of smoking initiation and continuation were examined prospectively (1997-2002) among 3205 Dutch elementary schoolchildren (mean age 11.64) in an…
Admission Criteria and Other Variables as Predictors of Business Student Graduation
ERIC Educational Resources Information Center
Truell, Allen D.; Woosley, Sherry
2008-01-01
Previous research has largely overlooked discipline specific admission criteria at the undergraduate level and its relationship to student success. Thus, the purpose of this study was to determine if college of business admission criteria and other variables predicted undergraduate college of business student graduation. The specific variables…
ERIC Educational Resources Information Center
Eren, Altay
2017-01-01
This study examined whether prospective teachers' teaching-specific hopes significantly predicted their sense of personal responsibility. A total of 503 prospective teachers voluntarily participated in the study. Correlation and structural equation modelling analyses were conducted to examine the links between prospective teachers'…
Predicting PDZ domain mediated protein interactions from structure
2013-01-01
Background PDZ domains are structural protein domains that recognize simple linear amino acid motifs, often at protein C-termini, and mediate protein-protein interactions (PPIs) in important biological processes, such as ion channel regulation, cell polarity and neural development. PDZ domain-peptide interaction predictors have been developed based on domain and peptide sequence information. Since domain structure is known to influence binding specificity, we hypothesized that structural information could be used to predict new interactions compared to sequence-based predictors. Results We developed a novel computational predictor of PDZ domain and C-terminal peptide interactions using a support vector machine trained with PDZ domain structure and peptide sequence information. Performance was estimated using extensive cross validation testing. We used the structure-based predictor to scan the human proteome for ligands of 218 PDZ domains and show that the predictions correspond to known PDZ domain-peptide interactions and PPIs in curated databases. The structure-based predictor is complementary to the sequence-based predictor, finding unique known and novel PPIs, and is less dependent on training–testing domain sequence similarity. We used a functional enrichment analysis of our hits to create a predicted map of PDZ domain biology. This map highlights PDZ domain involvement in diverse biological processes, some only found by the structure-based predictor. Based on this analysis, we predict novel PDZ domain involvement in xenobiotic metabolism and suggest new interactions for other processes including wound healing and Wnt signalling. Conclusions We built a structure-based predictor of PDZ domain-peptide interactions, which can be used to scan C-terminal proteomes for PDZ interactions. We also show that the structure-based predictor finds many known PDZ mediated PPIs in human that were not found by our previous sequence-based predictor and is less dependent on training–testing domain sequence similarity. Using both predictors, we defined a functional map of human PDZ domain biology and predict novel PDZ domain function. Users may access our structure-based and previous sequence-based predictors at http://webservice.baderlab.org/domains/POW. PMID:23336252
Optimising predictor domains for spatially coherent precipitation downscaling
NASA Astrophysics Data System (ADS)
Radanovics, S.; Vidal, J.-P.; Sauquet, E.; Ben Daoud, A.; Bontron, G.
2012-04-01
Relationships between local precipitation (predictands) and large-scale circulation (predictors) are used for statistical downscaling purposes in various contexts, from medium-term forecasting to climate change impact studies. For hydrological purposes like flood forecasting, the downscaled precipitation spatial fields have furthermore to be coherent over possibly large basins. This thus first requires to know what predictor domain can be associated to the precipitation over each part of the studied basin. This study addresses this issue by identifying the optimum predictor domains over the whole of France, for a specific downscaling method based on a analogue approach and developed by Ben Daoud et al. (2011). The downscaling method used here is based on analogies on different variables: temperature, relative humidity, vertical velocity and geopotentials. The optimum predictor domain has been found to consist of the nearest grid cell for all variables except geopotentials (Ben Daoud et al., 2011). Moreover, geopotential domains have been found to be sensitive to the target location by Obled et al. (2002), and the present study thus focuses on optimizing the domains of this specific predictor over France. The predictor domains for geopotential at 500 hPa and 1000 hPa are optimised for 608 climatologically homogeneous zones in France using the ERA-40 reanalysis data for the large-scale predictors and local precipitation from the Safran near-surface atmospheric reanalysis (Vidal et al., 2010). The similarity of geopotential fields is measured by the Teweles and Wobus shape criterion. The predictive skill of different predictor domains for the different regions is tested with the Continuous Ranked Probability Score (CRPS) for the 25 best analogue days found with the statistical downscaling method. Rectangular predictor domains of different sizes, shapes and locations are tested, and the one that leads to the smallest CRPS for the zone in question is retained. The resulting optimised domains are analysed for defining regions where neighbouring zones have equal or similar predictor domains and identifying which French river basins contain zones associated with different predictor domains, i.e. are exposed to different meteorological influences. The above analysis will be used (1) to extend the statistical downscaling method of Ben Daoud et al. (2011) to the whole of France and (2) to develop it further in order to achieve spatially coherent forecasts while preserving the predictive skill on the local scale. Ben Daoud, A., Sauquet, E., Lang, M., Bontron, G., and Obled, C. (2011). Precipitation forecasting through an analog sorting technique: a comparative study. Advances in Geosciences, 29:103-107. doi: 10.5194/adgeo-29-103-2011 Obled, C., Bontron, G., and Garçon, R. (2002). Quantitative precipitation forecasts: a statistical adaptation of model outputs through an analogues sorting approach. Atmospheric Research, 63(3-4):303-324. doi: 10.1016/S0169-8095(02)00038-8 Vidal, J.-P., Martin, E., Franchistéguy, L., Baillon, M., and Soubeyroux, J.-M. (2010) A 50-year high-resolution atmospheric reanalysis over France with the Safran system. International Journal of Climatology, 30:1627-1644. doi: 10.1002/joc.2003
Farmworker Exposure to Pesticides: Methodologic Issues for the Collection of Comparable Data
Arcury, Thomas A.; Quandt, Sara A.; Barr, Dana B.; Hoppin, Jane A.; McCauley, Linda; Grzywacz, Joseph G.; Robson, Mark G.
2006-01-01
The exposure of migrant and seasonal farmworkers and their families to agricultural and residential pesticides is a continuing public health concern. Pesticide exposure research has been spurred on by the development of sensitive and reliable laboratory techniques that allow the detection of minute amounts of pesticides or pesticide metabolites. The power of research on farmworker pesticide exposure has been limited because of variability in the collection of exposure data, the predictors of exposure considered, the laboratory procedures used in analyzing the exposure, and the measurement of exposure. The Farmworker Pesticide Exposure Comparable Data Conference assembled 25 scientists from diverse disciplinary and organizational backgrounds to develop methodologic consensus in four areas of farmworker pesticide exposure research: environmental exposure assessment, biomarkers, personal and occupational predictors of exposure, and health outcomes of exposure. In this introduction to this mini-monograph, first, we present the rationale for the conference and its organization. Second, we discuss some of the important challenges in conducting farmworker pesticide research, including the definition and size of the farmworker population, problems in communication and access, and the organization of agricultural work. Third, we summarize major findings from each of the conference’s four foci—environmental exposure assessment, biomonitoring, predictors of exposure, and health outcomes of exposure—as well as important laboratory and statistical analysis issues that cross-cut the four foci. PMID:16759996
Scott, Whitney; McCracken, Lance M
2015-06-01
The Patient Global Impression of Change (PGIC) measure has frequently been used as an indicator of meaningful change in treatments for chronic pain. However, limited research has examined the validity of PGIC items despite their wide adoption in clinical trials for pain. Additionally, research has not yet examined predictors of PGIC ratings following psychologically based treatment for pain. The purpose of the present study was to examine the validity, factor structure, and predictors of PGIC ratings following an interdisciplinary psychologically based treatment for chronic pain. Patients with chronic pain (N = 476) completed standard assessments of pain, daily functioning, and depression before and after a 4-week treatment program based on the principles of acceptance and commitment therapy. Following the program, patients rated 1 item assessing their impression of change overall and several items assessing their impression of more specific changes: physical and social functioning, work-related activities, mood, and pain. Results indicated that the global and specific impression of change items represent a single component. In the context of the acceptance and commitment therapy-based treatment studied here, overall PGIC ratings appeared to be influenced to a greater degree by patients' experienced improvements in physical activities and mood than by improvements in pain. The findings suggest that in addition to a single overall PGIC rating, domain-specific items may be relevant for some treatment trials. This article reports on the validity and predictors of patients' impression of change ratings following interdisciplinary psychologically based treatment for pain. In addition to a single overall PGIC rating, domain-specific items may be important for clinicians and researchers to consider depending on the focus of treatment. Copyright © 2015 American Pain Society. Published by Elsevier Inc. All rights reserved.
Dysvik, Anders; Kuvaas, Bård
2013-09-01
This research explored the roles of intrinsic motivation (IM) and extrinsic motivation (EM) and the 2 × 2 model of achievement goals as predictors of increased work effort (WE). A cross-lagged field study was conducted among 1,441 employees from three large Norwegian service organizations across a 10-month time span. The results showed that the relationship between IM and increased WE was more positive for employees with high levels of mastery-approach goals. This observation suggests that having congruent goals may accentuate the positive relationship between IM and WE. © 2012 The British Psychological Society.
The Principal's Role in Promoting Academic Gain.
ERIC Educational Resources Information Center
Gullatt, David E.; Lofton, Brenda D.
Principals encourage student academic gain by the ways in which they govern the school, build strong collaborative relationships, and organize and allocate professional work time. Because these activities are important predictors of academic achievement, along with quality teacher activities, further information is also provided about how…
Predictors of Desire for Involvement in a State Rehabilitation Association.
ERIC Educational Resources Information Center
Heinemann, Allen W.; And Others
1986-01-01
Surveyed state rehabilitation association members to test a path model predicting desire for organizational involvement on the basis of breadth of expectations of the organization, professional identity, professional education, training satisfaction, and years in rehabilitation. Broader expectations predicted greater desire for organizational…
Predictors and Predictive Effects of Attitudinal Inconsistency Towards Organizational Change
2012-03-01
organizations. One perspective implicates institutional rigidities, and deficient organizational cultures (e.g., Burke & Litwin , 1992; DiMaggio...Psychology, 25, 253-271. Brown, R. (1965). Social psychology. New York: The Free Press Burke, W.W., & Litwin , G.H. (1992). A causal mode of
Using the theory of reasoned action to model retention in rural primary care physicians.
Feeley, Thomas Hugh
2003-01-01
Much research attention has focused on medical students', residents', and physicians' decisions to join a rural practice, but far fewer studies have examined retention of rural primary care physicians. The current review uses Fishbein and Ajzen's Theory of Reasoned Action (TRA) to organize the literature on the predictors and correlates of retention of rural practicing physicians. TRA suggests turnover behavior is directly predicted by one's turnover intentions, which are, in turn, predicted by one's attitudes about rural practice and perceptions of salient others' (eg, spouse's) attitudes about rural practice and rural living. Narrative literature review of scholarship in predicting and understanding predictors and correlates of rural physician retention. The TRA model provides a useful conceptual model to organize the literature on rural physician retention. Physicians' subjective norms regarding rural practice are an important source of influence in the decision to remain or leave one's position, and this relation should be more fully examined in future research.
Das, Arundhati; Nagendra, Harini; Anand, Madhur; Bunyan, Milind
2015-01-01
The objective of this analysis was to identify topographic and bioclimatic factors that predict occurrence of forest and grassland patches within tropical montane forest-grassland mosaics. We further investigated whether interactions between topography and bioclimate are important in determining vegetation pattern, and assessed the role of spatial scale in determining the relative importance of specific topographic features. Finally, we assessed the role of elevation in determining the relative importance of diverse explanatory factors. The study area consists of the central and southern regions of the Western Ghats of Southern India, a global biodiversity hotspot. Random forests were used to assess prediction accuracy and predictor importance. Conditional inference classification trees were used to interpret predictor effects and examine potential interactions between predictors. GLMs were used to confirm predictor importance and assess the strength of interaction terms. Overall, topographic and bioclimatic predictors classified vegetation pattern with approximately 70% accuracy. Prediction accuracy was higher for grassland than forest, and for mosaics at higher elevations. Elevation was the most important predictor, with mosaics above 2000m dominated largely by grassland. Relative topographic position measured at a local scale (within a 300m neighbourhood) was another important predictor of vegetation pattern. In high elevation mosaics, northness and concave land surface curvature were important predictors of forest occurrence. Important bioclimatic predictors were: dry quarter precipitation, annual temperature range and the interaction between the two. The results indicate complex interactions between topography and bioclimate and among topographic variables. Elevation and topography have a strong influence on vegetation pattern in these mosaics. There were marked regional differences in the roles of various topographic and bioclimatic predictors across the range of study mosaics, indicating that the same pattern of grass and forest seems to be generated by different sets of mechanisms across the region, depending on spatial scale and elevation. PMID:26121353
Das, Arundhati; Nagendra, Harini; Anand, Madhur; Bunyan, Milind
2015-01-01
The objective of this analysis was to identify topographic and bioclimatic factors that predict occurrence of forest and grassland patches within tropical montane forest-grassland mosaics. We further investigated whether interactions between topography and bioclimate are important in determining vegetation pattern, and assessed the role of spatial scale in determining the relative importance of specific topographic features. Finally, we assessed the role of elevation in determining the relative importance of diverse explanatory factors. The study area consists of the central and southern regions of the Western Ghats of Southern India, a global biodiversity hotspot. Random forests were used to assess prediction accuracy and predictor importance. Conditional inference classification trees were used to interpret predictor effects and examine potential interactions between predictors. GLMs were used to confirm predictor importance and assess the strength of interaction terms. Overall, topographic and bioclimatic predictors classified vegetation pattern with approximately 70% accuracy. Prediction accuracy was higher for grassland than forest, and for mosaics at higher elevations. Elevation was the most important predictor, with mosaics above 2000 m dominated largely by grassland. Relative topographic position measured at a local scale (within a 300 m neighbourhood) was another important predictor of vegetation pattern. In high elevation mosaics, northness and concave land surface curvature were important predictors of forest occurrence. Important bioclimatic predictors were: dry quarter precipitation, annual temperature range and the interaction between the two. The results indicate complex interactions between topography and bioclimate and among topographic variables. Elevation and topography have a strong influence on vegetation pattern in these mosaics. There were marked regional differences in the roles of various topographic and bioclimatic predictors across the range of study mosaics, indicating that the same pattern of grass and forest seems to be generated by different sets of mechanisms across the region, depending on spatial scale and elevation.
Substantial soil organic carbon retention along floodplains of mountain streams
NASA Astrophysics Data System (ADS)
Sutfin, Nicholas A.; Wohl, Ellen
2017-07-01
Small, snowmelt-dominated mountain streams have the potential to store substantial organic carbon in floodplain sediment because of high inputs of particulate organic matter, relatively lower temperatures compared with lowland regions, and potential for increased moisture conditions. This work (i) quantifies mean soil organic carbon (OC) content along 24 study reaches in the Colorado Rocky Mountains using 660 soil samples, (ii) identifies potential controls of OC content based on soil properties and spatial position with respect to the channel, and (iii) and examines soil properties and OC across various floodplain geomorphic features in the study area. Stepwise multiple linear regression (adjusted r2 = 0.48, p < 0.001) indicates that percentage of silt and clay, sample depth, percent sand, distance from the channel, and relative elevation from the channel are significant predictors of OC content in the study area. Principle component analysis indicates limited separation between geomorphic floodplain features based on predictors of OC content. A lack of significant differences among floodplain features suggests that the systematic random sampling employed in this study can capture the variability of OC across floodplains in the study area. Mean floodplain OC (6.3 ± 0.3%) is more variable but on average greater than values in uplands (1.5 ± 0.08% to 2.2 ± 0.14%) of the Colorado Front Range and higher than published values from floodplains in other regions, particularly those of larger rivers.
Nichols, Linda Jayne; Gall, Seana; Stirling, Christine
2016-01-01
An aneurysmal subarachnoid hemorrhage (aSAH) carries a high disability burden. The true impact of rurality as a predictor of outcome severity is unknown. Our aim is to clarify the relationship between the proposed explanations of regional and rural health disparities linked to severity of outcome following an aSAH. An initial literature search identified limited data directly linking geographical location, rurality, rural vulnerability, and aSAH. A further search noting parallels with ischemic stroke and acute myocardial infarct literature presented a number of diverse and interrelated predictors. This a priori knowledge informed the development of a conceptual framework that proposes the relationship between rurality and severity of outcome following an aSAH utilizing structural equation modeling. The presented conceptual framework explores a number of system, environmental, and modifiable risk factors. Socioeconomic characteristics, modifiable risk factors, and timely treatment that were identified as predictors of severity of outcome following an aSAH and within each of these defined predictors a number of contributing specific individual predictors are proposed. There are considerable gaps in the current knowledge pertaining to the impact of rurality on the severity of outcome following an aSAH. Absent from the literature is any investigation of the cumulative impact and multiplicity of risk factors associated with rurality. The proposed conceptual framework hypothesizes a number of relationships between both individual level and system level predictors, acknowledging that intervening predictors may mediate the effect of one variable on another.
Predictors of outcomes in outpatients with anorexia nervosa - Results from the ANTOP study.
Wild, Beate; Friederich, Hans-Christoph; Zipfel, Stephan; Resmark, Gaby; Giel, Katrin; Teufel, Martin; Schellberg, Dieter; Löwe, Bernd; de Zwaan, Martina; Zeeck, Almut; Herpertz, Stephan; Burgmer, Markus; von Wietersheim, Jörn; Tagay, Sefik; Dinkel, Andreas; Herzog, Wolfgang
2016-10-30
This study aimed to determine predictors of BMI and recovery for outpatients with anorexia nervosa (AN). Patients were participants of the ANTOP (Anorexia Nervosa Treatment of Out-Patients) trial and randomized to focal psychodynamic therapy (FPT), enhanced cognitive behavior therapy (CBT-E), or optimized treatment as usual (TAU-O). N=169 patients participated in the one-year follow-up (T4). Outcomes were the BMI and global outcome (recovery/partial syndrome/full syndrome) at T4. We examined the following baseline variables as possible predictors: age, BMI, duration of illness, subtype of AN, various axis I diagnoses, quality of life, self-esteem, and psychological characteristics relevant to AN. Linear and logistic regression analyses were conducted to identify the predictors of the BMI and global outcome. The strongest positive predictor for BMI and recovery at T4 was a higher baseline BMI of the patients. Negative predictors for BMI and recovery were a duration of illness >6 years and a lifetime depression diagnosis at baseline. Additionally, higher bodily pain was significantly associated with a lower BMI and self-esteem was a positive predictor for recovery at T4. A higher baseline BMI and shorter illness duration led to a better outcome. Further research is necessary to investigate whether or not AN patients with lifetime depression, higher bodily pain, and lower self-esteem may benefit from specific treatment approaches. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.
Rationalising predictors of child sexual exploitation and sex-trading.
Klatt, Thimna; Cavner, Della; Egan, Vincent
2014-02-01
Although there is evidence for specific risk factors leading to child sexual exploitation and prostitution, these influences overlap and have rarely been examined concurrently. The present study examined case files for 175 young persons who attended a voluntary organization in Leicester, United Kingdom, which supports people who are sexually exploited or at risk of sexual exploitation. Based on the case files, the presence or absence of known risk factors for becoming a sex worker was coded. Data were analyzed using t-test, logistic regression, and smallest space analysis. Users of the voluntary organization's services who had been sexually exploited exhibited a significantly greater number of risk factors than service users who had not been victims of sexual exploitation. The logistic regression produced a significant model fit. However, of the 14 potential predictors--many of which were associated with each other--only four variables significantly predicted actual sexual exploitation: running away, poverty, drug and/or alcohol use, and having friends or family members in prostitution. Surprisingly, running away was found to significantly decrease the odds of becoming involved in sexual exploitation. Smallest space analysis of the data revealed 5 clusters of risk factors. Two of the clusters, which reflected a desperation and need construct and immature or out-of-control lifestyles, were significantly associated with sexual exploitation. Our research suggests that some risk factors (e.g. physical and emotional abuse, early delinquency, and homelessness) for becoming involved in sexual exploitation are common but are part of the problematic milieu of the individuals affected and not directly associated with sex trading itself. Our results also indicate that it is important to engage with the families and associates of young persons at risk of becoming (or remaining) a sex worker if one wants to reduce the numbers of persons who engage in this activity. Copyright © 2013 Elsevier Ltd. All rights reserved.
Predicting the Dynamics of Protein Abundance
Mehdi, Ahmed M.; Patrick, Ralph; Bailey, Timothy L.; Bodén, Mikael
2014-01-01
Protein synthesis is finely regulated across all organisms, from bacteria to humans, and its integrity underpins many important processes. Emerging evidence suggests that the dynamic range of protein abundance is greater than that observed at the transcript level. Technological breakthroughs now mean that sequencing-based measurement of mRNA levels is routine, but protocols for measuring protein abundance remain both complex and expensive. This paper introduces a Bayesian network that integrates transcriptomic and proteomic data to predict protein abundance and to model the effects of its determinants. We aim to use this model to follow a molecular response over time, from condition-specific data, in order to understand adaptation during processes such as the cell cycle. With microarray data now available for many conditions, the general utility of a protein abundance predictor is broad. Whereas most quantitative proteomics studies have focused on higher organisms, we developed a predictive model of protein abundance for both Saccharomyces cerevisiae and Schizosaccharomyces pombe to explore the latitude at the protein level. Our predictor primarily relies on mRNA level, mRNA–protein interaction, mRNA folding energy and half-life, and tRNA adaptation. The combination of key features, allowing for the low certainty and uneven coverage of experimental observations, gives comparatively minor but robust prediction accuracy. The model substantially improved the analysis of protein regulation during the cell cycle: predicted protein abundance identified twice as many cell-cycle-associated proteins as experimental mRNA levels. Predicted protein abundance was more dynamic than observed mRNA expression, agreeing with experimental protein abundance from a human cell line. We illustrate how the same model can be used to predict the folding energy of mRNA when protein abundance is available, lending credence to the emerging view that mRNA folding affects translation efficiency. The software and data used in this research are available at http://bioinf.scmb.uq.edu.au/proteinabundance/. PMID:24532840
Predicting the dynamics of protein abundance.
Mehdi, Ahmed M; Patrick, Ralph; Bailey, Timothy L; Bodén, Mikael
2014-05-01
Protein synthesis is finely regulated across all organisms, from bacteria to humans, and its integrity underpins many important processes. Emerging evidence suggests that the dynamic range of protein abundance is greater than that observed at the transcript level. Technological breakthroughs now mean that sequencing-based measurement of mRNA levels is routine, but protocols for measuring protein abundance remain both complex and expensive. This paper introduces a Bayesian network that integrates transcriptomic and proteomic data to predict protein abundance and to model the effects of its determinants. We aim to use this model to follow a molecular response over time, from condition-specific data, in order to understand adaptation during processes such as the cell cycle. With microarray data now available for many conditions, the general utility of a protein abundance predictor is broad. Whereas most quantitative proteomics studies have focused on higher organisms, we developed a predictive model of protein abundance for both Saccharomyces cerevisiae and Schizosaccharomyces pombe to explore the latitude at the protein level. Our predictor primarily relies on mRNA level, mRNA-protein interaction, mRNA folding energy and half-life, and tRNA adaptation. The combination of key features, allowing for the low certainty and uneven coverage of experimental observations, gives comparatively minor but robust prediction accuracy. The model substantially improved the analysis of protein regulation during the cell cycle: predicted protein abundance identified twice as many cell-cycle-associated proteins as experimental mRNA levels. Predicted protein abundance was more dynamic than observed mRNA expression, agreeing with experimental protein abundance from a human cell line. We illustrate how the same model can be used to predict the folding energy of mRNA when protein abundance is available, lending credence to the emerging view that mRNA folding affects translation efficiency. The software and data used in this research are available at http://bioinf.scmb.uq.edu.au/proteinabundance/.
Hawkins, Troy; Chitale, Meghana; Luban, Stanislav; Kihara, Daisuke
2009-02-15
Protein function prediction is a central problem in bioinformatics, increasing in importance recently due to the rapid accumulation of biological data awaiting interpretation. Sequence data represents the bulk of this new stock and is the obvious target for consideration as input, as newly sequenced organisms often lack any other type of biological characterization. We have previously introduced PFP (Protein Function Prediction) as our sequence-based predictor of Gene Ontology (GO) functional terms. PFP interprets the results of a PSI-BLAST search by extracting and scoring individual functional attributes, searching a wide range of E-value sequence matches, and utilizing conventional data mining techniques to fill in missing information. We have shown it to be effective in predicting both specific and low-resolution functional attributes when sufficient data is unavailable. Here we describe (1) significant improvements to the PFP infrastructure, including the addition of prediction significance and confidence scores, (2) a thorough benchmark of performance and comparisons to other related prediction methods, and (3) applications of PFP predictions to genome-scale data. We applied PFP predictions to uncharacterized protein sequences from 15 organisms. Among these sequences, 60-90% could be annotated with a GO molecular function term at high confidence (>or=80%). We also applied our predictions to the protein-protein interaction network of the Malaria plasmodium (Plasmodium falciparum). High confidence GO biological process predictions (>or=90%) from PFP increased the number of fully enriched interactions in this dataset from 23% of interactions to 94%. Our benchmark comparison shows significant performance improvement of PFP relative to GOtcha, InterProScan, and PSI-BLAST predictions. This is consistent with the performance of PFP as the overall best predictor in both the AFP-SIG '05 and CASP7 function (FN) assessments. PFP is available as a web service at http://dragon.bio.purdue.edu/pfp/. (c) 2008 Wiley-Liss, Inc.
Predictors of survival in mucosal melanoma of the head and neck.
Jethanamest, Daniel; Vila, Peter M; Sikora, Andrew G; Morris, Luc G T
2011-10-01
The head and neck is the most common site of mucosal melanoma, a cancer with poor prognosis. In contrast to cutaneous melanoma, mucosal melanoma of the head and neck (MMHN) is uncommon, with limited data regarding outcomes and prognostic factors drawn from small, single-institution case series. In order to identify factors predictive of survival, we analyzed MMHN outcomes in a large US cohort. MMHN cases (n = 815) diagnosed in the USA between 1973 and 2007 were analyzed in the Surveillance, Epidemiology, and End Results registry, and cause of death was individually determined in 778 (95.5%) cases. Kaplan-Meier survival analysis and Cox proportional hazards regression were used to analyze prognostic variables. Disease-specific survival status was determined in 778 (95.5%) cases. The 5- and 10-year rates of overall survival (OS) were 25.2 and 12.2%; disease-specific survival (DSS), 32.4 and 19.3%. On multivariable analysis, anatomic primary site was an independent predictor of OS and DSS, with tumors in the nasal cavity and oral cavity associated with survival superior to tumors in the nasopharynx and paranasal sinuses. Age > 70 years, tumor size, nodal status, and distant metastasis status were additional independent predictors of poorer survival. In this large cohort of patients with MMHN, we have identified several novel factors robustly predictive of overall and melanoma-specific survival.
Testing phase-specific self-efficacy beliefs in the context of dietary behaviour change.
Ochsner, Sibylle; Scholz, Urte; Hornung, Rainer
2013-03-01
Self-efficacy is an important predictor of health behaviour change. Within the health action process approach (HAPA; Schwarzer, 2008), motivational and volitional self-efficacy can be distinguished. Motivational self-efficacy is assumed to serve as predictor of intention formation whereas volitional self-efficacy should be relevant for behaviour change. This study examined these assumptions in a sample with overweight and obese individuals. Moreover, we tested whether behavioural intentions moderate the association between volitional self-efficacy and behaviour. Overall, 373 overweight and obese individuals completed a baseline and six months later a follow-up questionnaire on HAPA variables and dietary behaviour. A factor analysis confirmed the phase-specific separation of self-efficacy. Motivational self-efficacy emerged as predictor for behavioural intentions over and above other HAPA variables after six months, whereas volitional self-efficacy did not. Volitional self-efficacy interacted with intention in the prediction of behaviour, indicating that volitional self-efficacy is only beneficial for individuals with high levels of intentions. The results provide evidence for the phase-specific distinction of self-efficacy in the context of dietary change in an overweight or obese sample. Thus, differentiating between motivational and volitional self-efficacy beliefs should be considered when developing future interventions of dietary change. © 2012 The Authors. Applied Psychology: Health and Well-Being © 2012 The International Association of Applied Psychology.
Ye, Yu; Kerr, William C
2011-01-01
To explore various model specifications in estimating relationships between liver cirrhosis mortality rates and per capita alcohol consumption in aggregate-level cross-section time-series data. Using a series of liver cirrhosis mortality rates from 1950 to 2002 for 47 U.S. states, the effects of alcohol consumption were estimated from pooled autoregressive integrated moving average (ARIMA) models and 4 types of panel data models: generalized estimating equation, generalized least square, fixed effect, and multilevel models. Various specifications of error term structure under each type of model were also examined. Different approaches controlling for time trends and for using concurrent or accumulated consumption as predictors were also evaluated. When cirrhosis mortality was predicted by total alcohol, highly consistent estimates were found between ARIMA and panel data analyses, with an average overall effect of 0.07 to 0.09. Less consistent estimates were derived using spirits, beer, and wine consumption as predictors. When multiple geographic time series are combined as panel data, none of existent models could accommodate all sources of heterogeneity such that any type of panel model must employ some form of generalization. Different types of panel data models should thus be estimated to examine the robustness of findings. We also suggest cautious interpretation when beverage-specific volumes are used as predictors. Copyright © 2010 by the Research Society on Alcoholism.
Hensel, Devon J; Selby, Sarah; Tanner, Amanda E; Fortenberry, J Dennis
2016-09-01
Adolescent women are disproportionately impacted by the adverse outcomes associated with sexual activity, including sexually transmitted infections (STI). Condoms as a means of prevention relies on use that is free of usage failure, including breakage and/or slippage. This study examined the daily prevalence of and predictors of condom breakage and/or slippage during vaginal sex and during anal sex among adolescent women. Adolescent women (N = 387; 14 to 17 years) were recruited from primary care clinics for a longitudinal cohort study of STIs and sexual behavior. Data were daily partner-specific sexual diaries. Random intercept mixed-effects logistic regression was used to estimate the fixed effect of each predictor on condom breakage/slippage during vaginal or during anal sex (Stata, 13.0), adjusting model coefficients for the correlation between repeated within-participant diary entries. Condom slippage and/or breakage varied across sexual behaviors and was associated with individual-specific (eg, age and sexual interest) and partner-specific factors (eg, negativity). Recent behavioral factors (eg, experiencing slippage and/or breakage in the past week) were the strongest predictors of current condom slippage and/or breakage during vaginal or anal sex. Factors associated with young women's condom breakage/slippage during vaginal or during anal sex should be integrated as part of STI prevention efforts and should be assessed as part of ongoing routine clinical care.
Bull, Rebecca; Espy, Kimberly Andrews; Wiebe, Sandra A.
2009-01-01
This study examined whether measures of short-term memory, working memory, and executive functioning in preschool children predict later proficiency in academic achievement at 7 years of age (third year of primary school). Children were tested in preschool (M age = 4 years, 6 months) on a battery of cognitive measures, and mathematics and reading outcomes (from standardized, norm-referenced school-based assessments) were taken on entry to primary school, and at the end of the first and third year of primary school. Growth curve analyses examined predictors of math and reading achievement across the duration of the study and revealed that better digit span and executive function skills provided children with an immediate head start in math and reading that they maintained throughout the first three years of primary school. Visual-spatial short-term memory span was found to be a predictor specifically of math ability. Correlational and regression analyses revealed that visual short-term and working memory were found to specifically predict math achievement at each time point, while executive function skills predicted learning in general rather than learning in one specific domain. The implications of the findings are discussed in relation to further understanding the role of cognitive skills in different mathematical tasks, and in relation to the impact of limited cognitive skills in the classroom environment. PMID:18473197
Prediction of obeche wood-induced asthma by specific skin prick testing.
Hannu, T; Lindström, I; Palmroos, P; Kuuliala, O; Sauni, R
2013-09-01
It has previously been shown that a positive skin prick test (SPT) result is a good predictor of a positive specific inhalation challenge (SIC) in patients with occupational asthma (OA) related to wheat or rye flours. This association has not been previously studied in OA attributable to obeche wood. To describe a clinical series of patients with OA induced by obeche wood. To investigate if the SPT result can be used as a predictor for the outcome of SIC tests. OA was diagnosed according to patient history, lung function examinations and SIC tests, as well as the determination of obeche SPTs. We analysed sensitivity, specificity and positive (PPV) and negative predictive values (NPV) at different wheal sizes of the SPTs and drew receiver-operating characteristic plots using the SIC test result as the gold standard. Obeche wood SIC tests were performed on 34 symptomatic workers. Of these, 27 workers had a positive test result and were diagnosed as having OA. The minimal cut-off value with a PPV of 100% was an SPT wheal of 3.5 mm from obeche wood. This means that all workers with a wheal size of ≥ 3.5 mm from obeche wood had a positive SIC. Positive SPT results in symptomatic workers were good predictors of a positive SIC. SIC with obeche wood may be unnecessary in strongly sensitized workers.
Can human experts predict solubility better than computers?
Boobier, Samuel; Osbourn, Anne; Mitchell, John B O
2017-12-13
In this study, we design and carry out a survey, asking human experts to predict the aqueous solubility of druglike organic compounds. We investigate whether these experts, drawn largely from the pharmaceutical industry and academia, can match or exceed the predictive power of algorithms. Alongside this, we implement 10 typical machine learning algorithms on the same dataset. The best algorithm, a variety of neural network known as a multi-layer perceptron, gave an RMSE of 0.985 log S units and an R 2 of 0.706. We would not have predicted the relative success of this particular algorithm in advance. We found that the best individual human predictor generated an almost identical prediction quality with an RMSE of 0.942 log S units and an R 2 of 0.723. The collection of algorithms contained a higher proportion of reasonably good predictors, nine out of ten compared with around half of the humans. We found that, for either humans or algorithms, combining individual predictions into a consensus predictor by taking their median generated excellent predictivity. While our consensus human predictor achieved very slightly better headline figures on various statistical measures, the difference between it and the consensus machine learning predictor was both small and statistically insignificant. We conclude that human experts can predict the aqueous solubility of druglike molecules essentially equally well as machine learning algorithms. We find that, for either humans or algorithms, combining individual predictions into a consensus predictor by taking their median is a powerful way of benefitting from the wisdom of crowds.
Talukdar, Rupjyoti; Sharma, Mithun; Deka, Ajit; Teslima, Sultana; Dev Goswami, Amal; Goswami, Arunima; Baro, Anup; Nageshwar Reddy, D
2014-07-01
Several severity predictors have been tested for assessing acute pancreatitis (AP). The recently described harmless acute pancreatitis score (HAPS) could be an ideal predictor for Indian patients at the community level. We validate this system in the current study. This was a prospective pilot study conducted at a tertiary center from July 2010 to December 2011. Consecutive directly admitted patients over 18 years with a documented first episode of AP were enrolled and followed for at least 12 months after discharge/till death. HAPS was defined as absence of rebound abdominal tenderness, serum creatinine of <2 mg/dL, and hematocrit of <43 for male and <39.6 for female patients at the time of admission; and it was considered positive if the patient fulfilled all three criteria. Study outcomes included total hospital stay, need for intensive care unit (ICU), ICU stay, development of local complications, organ failure, hospital-acquired infections (including infected necrosis), and in-hospital mortality. There were a total of 103 patients directly admitted with AP during the study period, out of which, 23 were excluded. Forty-seven (58.8 %) patients were positive for HAPS. Of these, 44 (93.6 %) had an eventual non-severe (mild) clinical course with odds ratio 17.6 (95 % CI 4.5-68.3). Sensitivity, specificity, positive and negative predictive value, and receiver operating characteristics area under the curve of HAPS as a predictor of non-severe disease were 76.3 (66.9-86.4), 85.7 (78.0-96.8), 93.8 (88.5-98.6), 56.6 (45.4-73.6), and 84.8 (76.9-92.7) respectively. This study validated the utility of HAPS for directly admitted patients with AP in India. Large-scale multicenter community-based studies need to be performed.
Henneghan, Ashley M; Palesh, Oxana; Harrison, Michelle; Kesler, Shelli R
2018-07-15
The purpose of this study is to explore 13 cytokine predictors of chemotherapy-related cognitive impairment (CRCI) in breast cancer survivors (BCS) 6 months to 10 years after chemotherapy completion using a multivariate, non-parametric approach. Cross sectional data collection included completion of a survey, cognitive testing, and non-fasting blood from 66 participants. Data were analyzed using random forest regression to identify the most significant predictors for each of the cognitive test scores. A different cytokine profile predicted each cognitive test. Adjusted R 2 for each model ranged from 0.71-0.77 (p's < 9.50 -10 ). The relationships between all the cytokine predictors and cognitive test scores were non-linear. Our findings are unique to the field of CRCI and suggest non-linear cytokine specificity to neural networks underlying cognitive functions assessed in this study. Copyright © 2018 Elsevier B.V. All rights reserved.
Manzo, Karen; Tiesman, Hope; Stewart, Jera; Hobbs, Gerald R; Knox, Sarah S
2015-01-01
We examined racial/ethnic and gender-specific associations between suicide ideation/attempts and risky behaviors, sadness/hopelessness, and victimization in Montana American Indian and White youth using 1999-2011 Youth Risk Behavior Survey data. Logistic regression was used to calculate odds ratios and 95% confidence intervals in stratified racial/ethnic-gender groups. The primary results of this study show that although the American Indian youth had more statistically significant suicidal thoughts and attempts than the White youth, they had fewer statistically significant predictors compared to the White youth. Sadness/hopelessness was the strongest, and the only statistically significant, predictor of suicide ideation/attempts common across all four groups. The unhealthy weight control cluster was a significant predictor for the White youth and the American Indian/Alaska Native girls; the alcohol/tobacco/marijuana cluster was a significant predictor for the American Indian boys only. Results show important differences across the groups and indicate directions for future research targeting prevention and intervention.
Urgent Chemotherapy for Life-Threatening Complications Related to Solid Neoplasms.
Zerbib, Yoann; Rabbat, Antoine; Fartoukh, Muriel; Bigé, Naïke; Andréjak, Claire; Mayaux, Julien; De Prost, Nicolas; Misset, Benoît; Lemiale, Virginie; Bruneel, Fabrice; Maizel, Julien; Ricome, Sylvie; Jacobs, Frédéric; Bornstain, Caroline; Dupont, Hervé; Baudin, François; Azoulay, Elie; Pène, Frédéric
2017-07-01
Solid neoplasms can be directly responsible for organ failures at the time of diagnosis or relapse. The management of such specific complications relies on urgent chemotherapy and eventual instrumental or surgical procedures, combined with advanced life support. We conducted a multicenter study to address the prognosis of this condition. A multicenter retrospective (2001-2015) chart review. Medical and respiratory ICUs. Adult patients who received urgent chemotherapy in the ICU for organ failure related to solid neoplasms were included. The modalities of chemotherapy, requirements of adjuvant instrumental or surgical procedures, and organ supports were collected. Endpoints were short- and long-term survival rates. None. One hundred thirty-six patients were included. Lung cancer was the most common malignancy distributed into small cell lung cancer (n = 57) and non-small cell lung cancer (n = 33). The main reason for ICU admission was acute respiratory failure in 111 patients (81.6%), of whom 89 required invasive mechanical ventilation. Compression and tissue infiltration by tumor cells were the leading mechanisms resulting in organ involvement in 78 (57.4%) and 47 (34.6%) patients. The overall in-ICU, in-hospital, 6-month, and 1-year mortality rates were 37%, 58%, 74%, and 88%, respectively. Small cell lung cancer was identified as an independent predictor of hospital survival. However, this gain in survival was not sustained since the 1-year survival rates of small cell lung cancer, non-small cell lung cancer, and non-lung cancer patients all dropped below 20%. Urgent chemotherapy along with aggressive management of organ failures in the ICU can be lifesaving in very selected cancer patients, most especially with small cell lung cancer, although the long-term survival is hardly sustainable.
Changes in quality of life over 1 year in patients with head and neck cancer.
Ronis, David L; Duffy, Sonia A; Fowler, Karen E; Khan, Mumtaz J; Terrell, Jeffrey E
2008-03-01
To characterize and compare quality of life (QOL) in patients with head and neck cancer shortly before initial treatment and 1 year later and to study the predictors of changes in QOL over 1 year. Prospective cohort study. Three otolaryngology clinics. Three hundred sixteen patients having newly diagnosed squamous cell head and neck cancer. Health-related QOL was assessed using the 36-item Short-Form Health Survey and a head and neck cancer-specific QOL scale. Over 1 year, QOL decreased for physical functioning measures and eating but improved for mental health QOL. Depression and smoking were major predictors of poor QOL at baseline. Major predictors of change in QOL from baseline to 1 year were treatment factors, especially feeding tube placement (9 scales), chemotherapy (3 scales), and radiation therapy (3 scales). Baseline smoking and depressive symptoms also remained significant predictors of several QOL scales at 1 year. Health-related physical QOL tended to decline over 1 year and mental health QOL improved. The major predictors of change in QOL were treatment factors, smoking, and depressive symptoms. Physicians should alert patients to the relative effects on QOL one may experience with different treatments.
Kim, Kyung Mi; Choi, Jeong Sil
2017-10-01
This study was conducted in order to examine the intention of mothers to vaccinate their teenaged children against human papillomavirus (HPV) infection, according to the children's sex. Based on the theory of planned behavior, the study identified the sex-specific predictors of mothers' intention to vaccinate their teenaged children against HPV. This was a descriptive survey study that included, as participants, 200 mothers whose teenaged children were not vaccinated against HPV. The mothers' experience with HPV vaccination was a significant predictor of their childrens' HPV vaccination status. For the mothers of sons, subjective norms, attitudes, and perceived behavioral control were found to be significant predictors of intention of HPV vaccination, with an explanatory power of 69.5%. For those with daughters, only attitudes and subjective norms were significant predictors, with an explanatory power of 79.6%. The application of the theory of planned behavior is an effective method to determine the predictors of children's HPV vaccination status. In order to improve the HPV vaccination rate of teenaged children, strategies for education and effective promotion that involve mothers should be developed. © 2016 Japan Academy of Nursing Science.
Yu, Nancy Y; Wagner, James R; Laird, Matthew R; Melli, Gabor; Rey, Sébastien; Lo, Raymond; Dao, Phuong; Sahinalp, S Cenk; Ester, Martin; Foster, Leonard J; Brinkman, Fiona S L
2010-07-01
PSORTb has remained the most precise bacterial protein subcellular localization (SCL) predictor since it was first made available in 2003. However, the recall needs to be improved and no accurate SCL predictors yet make predictions for archaea, nor differentiate important localization subcategories, such as proteins targeted to a host cell or bacterial hyperstructures/organelles. Such improvements should preferably be encompassed in a freely available web-based predictor that can also be used as a standalone program. We developed PSORTb version 3.0 with improved recall, higher proteome-scale prediction coverage, and new refined localization subcategories. It is the first SCL predictor specifically geared for all prokaryotes, including archaea and bacteria with atypical membrane/cell wall topologies. It features an improved standalone program, with a new batch results delivery system complementing its web interface. We evaluated the most accurate SCL predictors using 5-fold cross validation plus we performed an independent proteomics analysis, showing that PSORTb 3.0 is the most accurate but can benefit from being complemented by Proteome Analyst predictions. http://www.psort.org/psortb (download open source software or use the web interface). psort-mail@sfu.ca Supplementary data are available at Bioinformatics online.
Gastric MALT lymphoma: old and new insights
Zullo, Angelo; Hassan, Cesare; Ridola, Lorenzo; Repici, Alessandro; Manta, Raffaele; Andriani, Alessandro
2014-01-01
The stomach is the most frequent site of extranodal lymphoma. Gastric lymphoma originating from mucosa-associated lymphoid tissue (MALT) is typically a low-grade, B-cell neoplasia strongly associated with Helicobacter pylori (H. pylori) infection. Only certain H. pylori strains in some predisposed patients determine lymphoma development in the stomach, according to a strain-host-organ specific process. The clinical presentation is poorly specific, symptoms ranging from vague dyspepsia to alarm symptoms. Similarly, different endoscopy patterns have been described for gastric lymphoma. H. pylori eradication is advised as first-line therapy in early stage disease, and complete lymphoma remission is achieved in 75% of cases. Neoplasia stage, depth of infiltration in the gastric wall, presence of the API2-MALT1 translocation, localization in the stomach, and patient ethnicity have been identified as predictors of remission. Recent data suggests that H. pylori eradication therapy may be successful for gastric lymphoma treatment also in a small subgroup (15%) of H. pylori-negative patients. The overall 5-year survival and disease-free survival rates are as high as 90% and 75%, respectively. Management of patients who failed to achieve lymphoma remission following H. pylori eradication include radiotherapy, chemotherapy and, in selected cases, surgery. PMID:24714739
The role of personality in predicting drug and alcohol use among sexual minorities.
Livingston, Nicholas A; Oost, Kathryn M; Heck, Nicholas C; Cochran, Bryan N
2015-06-01
Research consistently demonstrates that sexual minority status is associated with increased risk of problematic substance use. Existing literature in this area has focused on group-specific minority stress factors (e.g., victimization and internalized heterosexism). However, no known research has tested the incremental validity of personality traits as predictors of substance use beyond identified group-specific risk factors. A sample of 704 sexual minority adults was recruited nationally from lesbian, gay, bisexual, transgender, queer, and questioning community organizations and social networking Web sites and asked to complete an online survey containing measures of personality, sexual minority stress, and substance use. Hierarchical regression models were constructed to test the incremental predictive validity of five-factor model personality traits over and above known sexual minority risk factors. Consistent with hypotheses, extraversion and conscientiousness were associated with drug and alcohol use after accounting for minority stress factors, and all factors except agreeableness were associated with substance use at the bivariate level of analysis. Future research should seek to better understand the role of normal personality structures and processes conferring risk for substance use among sexual minorities. (PsycINFO Database Record (c) 2015 APA, all rights reserved).
Ligon, Russell A; McGraw, Kevin J
2013-01-01
Many animals display static coloration (e.g. of feathers or fur) that can serve as a reliable sexual or social signal, but the communication function of rapidly changing colours (as in chameleons and cephalopods) is poorly understood. We used recently developed photographic and mathematical modelling tools to examine how rapid colour changes of veiled chameleons Chamaeleo calyptratus predict aggressive behaviour during male-male competitions. Males that achieved brighter stripe coloration were more likely to approach their opponent, and those that attained brighter head coloration were more likely to win fights; speed of head colour change was also an important predictor of contest outcome. This correlative study represents the first quantification of rapid colour change using organism-specific visual models and provides evidence that the rate of colour change, in addition to maximum display coloration, can be an important component of communication. Interestingly, the body and head locations of the relevant colour signals map onto the behavioural displays given during specific contest stages, with lateral displays from a distance followed by directed, head-on approaches prior to combat, suggesting that different colour change signals may evolve to communicate different information (motivation and fighting ability, respectively).
Ligon, Russell A.; McGraw, Kevin J.
2013-01-01
Many animals display static coloration (e.g. of feathers or fur) that can serve as a reliable sexual or social signal, but the communication function of rapidly changing colours (as in chameleons and cephalopods) is poorly understood. We used recently developed photographic and mathematical modelling tools to examine how rapid colour changes of veiled chameleons Chamaeleo calyptratus predict aggressive behaviour during male–male competitions. Males that achieved brighter stripe coloration were more likely to approach their opponent, and those that attained brighter head coloration were more likely to win fights; speed of head colour change was also an important predictor of contest outcome. This correlative study represents the first quantification of rapid colour change using organism-specific visual models and provides evidence that the rate of colour change, in addition to maximum display coloration, can be an important component of communication. Interestingly, the body and head locations of the relevant colour signals map onto the behavioural displays given during specific contest stages, with lateral displays from a distance followed by directed, head-on approaches prior to combat, suggesting that different colour change signals may evolve to communicate different information (motivation and fighting ability, respectively). PMID:24335271
DOE Office of Scientific and Technical Information (OSTI.GOV)
Debongnie, J.C.; Pauwels, S.; Raat, A.
1991-06-01
Gastric urease was studied isotopically in 230 patients with biopsy-proven normal mucosa or chronic gastritis, including 59 patients with ulcer disease. Carbon-14-urea was given in 25 ml of water without substrate carrier or nutrient-dense meal, and breath samples were collected over a 60-min period. The amount of 14CO2 excreted at 10 min was independent of the rate of gastric emptying and was not quantitatively influenced by the buccal urease activity. The 10-min 14CO2 values discriminated well between Helicobacter pylori positive and negative patients (94% sensitivity, 89% specificity) and correlated with the number of organisms assessed by histology. The test wasmore » a good predictor of chronic gastritis (95% sensitivity and 96% specificity), and a quantitative relationship was observed between 14CO2 values and the severity and activity of the gastritis. In H. pylori positive patients, breath 14CO2 was found to be similar in patients with and without ulcer disease, suggesting that the number of bacteria is not a determining factor for the onset of ulceration.« less
Complexity and Control: The Organisational Background of Credentialism.
ERIC Educational Resources Information Center
Tyler, William
1982-01-01
Examines the role of organizational processes in generating the demand for qualified personnel. Neo-Weberian theorists point to the importance of contextual features of organizations such as size and national prominence as predictors of educational demand. Neo-Marxist historians examine the role played by credentials. (AM)
Individual Differences: Factors Affecting Employee Utilization of Flexible Work Arrangements
ERIC Educational Resources Information Center
Lambert, Alysa D.; Marler, Janet H.; Gueutal, Hal G.
2008-01-01
This study investigated individual and organizational factors that predict an individual's choice to use flexible work arrangements (FWAs). Survey data was collected from 144 employees in two different organizations. The results revealed several significant predictors of FWAs: tenure, hours worked per week, supervisory responsibilities,…
Cognitive Predictors of Language Development in Children with Specific Language Impairment (SLI)
ERIC Educational Resources Information Center
van Daal, John; Verhoeven, Ludo; van Balkom, Hans
2009-01-01
Background: Language development is generally viewed as a multifactorial process. There are increasing indications that this similarly holds for the problematic language development process. Aims: A population of 97 young Dutch children with specific language impairment (SLI) was followed over a 2-year period to provide additional evidence for the…
Predictors of Second Language Acquisition in Latino Children with Specific Language Impairment
ERIC Educational Resources Information Center
Gutierrez-Clellen, Vera; Simon-Cereijido, Gabriela; Sweet, Monica
2012-01-01
Purpose: This study evaluated the extent to which the language of intervention, the child's development in Spanish, and the effects of English vocabulary, use, proficiency, and exposure predict differences in the rates of acquisition of English in Latino children with specific language impairment (SLI). Method: In this randomized controlled trial,…
ERIC Educational Resources Information Center
Kuehne, Cheryl; And Others
1987-01-01
Investigated power of five measures to differentiate between normal children and children with Attention Deficit Disorder or Specific Learning Disabilities. Discriminant analysis revealed that Connors Parent Questionnaire was best predictor of group membership, followed in order by Connors Teacher Questionnaire, Porteus Mazes Test, and Matching…
Dispositional Predictors of Problem Solving in the Field of Office Work
ERIC Educational Resources Information Center
Rausch, Andreas
2017-01-01
It was investigated how domain-specific knowledge, fluid intelligence, vocational interest and work-related self-efficacy predicted domain-specific problem-solving performance in the field of office work. The participants included 100 German VET (vocational education and training) students nearing the end of a 3-year apprenticeship program as an…
ERIC Educational Resources Information Center
Koning, Ina M.; van den Eijnden, Regina J. J. M.; Verdurmen, Jacqueline E. E.; Engels, Rutger C. M. E.; Vollebergh, Wilma A. M.
2012-01-01
Previous studies on general parenting have demonstrated the relevance of strict parenting within a supportive social context for a variety of adolescent behaviors, such as alcohol use. Yet, alcohol-specific parenting practices are generally examined as separate predictors of adolescents' drinking behavior. The present study examined different…
Role of androgen ratios in the prediction of the metabolic phenotype in polycystic ovary syndrome.
Minooee, Sonia; Ramezani Tehrani, Fahimeh; Tohidi, Maryam; Azizi, Fereidoun
2017-05-01
To identify the androgen ratio that best predicts insulin resistance and metabolic syndrome among women with polycystic ovary syndrome (PCOS). Data for 180 women with PCOS and 180 healthy controls were extracted from two previous studies in Iran (conducted during 2008-2010 and 2011-2013). The diagnosis of PCOS was based on the Rotterdam criteria. The serum concentration of different androgens was measured. Receiver operating characteristic curve analysis was used to assess the ability of various androgen ratios to predict insulin resistance and metabolic syndrome. Among women with PCOS, the testosterone-to-androstenedione ratio was the best predictor of insulin resistance (sensitivity 0.83, specificity 0.42) and metabolic syndrome (sensitivity 0.85, specificity 0.70). Among healthy controls, the ratio of free androgen index to testosterone was the best predictor of insulin resistance (sensitivity 0.84, specificity 0.33) and metabolic syndrome (sensitivity 0.91, specificity 0.17). The prediction of insulin resistance and metabolic syndrome among women with PCOS was best accomplished with the testosterone-to-androstenedione ratio. © 2017 International Federation of Gynecology and Obstetrics.
Elhady, Marwa; Youness, Eman R; Gafar, Heba S; Abdel Aziz, Ali; Mostafa, Rehab S I
2018-06-02
Irisin and chemerin peptides expression are triggered by hypoxia and involved in activation of inflammatory cascades in various organs including the brain; however, their role in epilepsy is not fully illustrated. This study aims to explore the predictive role of irisin and chemerin for seizure control in children with idiopathic epilepsy. This cross-sectional comparative study included 50 children with idiopathic epilepsy; 25 of them had controlled seizures over the previous 6 months and 30 age- and sex-matched healthy children as controls. Epilepsy characteristics, seizure severity Chalfont score, and response to medications were assessed in relation to serum irisin and chemerin levels. In comparison to healthy controls, serum chemerin and irisin levels were significantly higher in children with idiopathic epilepsy especially those with uncontrolled seizures. Serum chemerin and irisin levels had significant positive correlation with seizure severity Chalfont score and the duration of epilepsy. Elevated Chalfont score (OR 3.19), serum chemerin (OR 2.01), and irisin (OR 2.03) are predictors of uncontrolled seizures. Circulating chemerin and irisin have 80% and 76% sensitivity and 88% and 92% specificity at cutoff point > 191.38 ng/ml and > 151.2 ng/ml respectively for prediction of uncontrolled seizures in children with idiopathic epilepsy. Elevated circulating level of irisin and chemerin may predict poor seizure control in children with idiopathic epilepsy suggesting the role of hypoxia-triggered neuroinflammation in the pathogenesis of childhood idiopathic epilepsy.
Noblet, Andrew J; Allisey, Amanda F; Nielsen, Ingrid L; Cotton, Stacey; LaMontagne, Anthony D; Page, Kathryn M
Job engagement represents a critical resource for community-based health care agencies to achieve high levels of effectiveness. However, studies examining the organizational sources of job engagement among health care professionals have generally overlooked those workers based in community settings. This study drew on the demand-control model, in addition to stressors that are more specific to community health services (e.g., unrewarding management practices), to identify conditions that are closely associated with the engagement experienced by a community health workforce. Job satisfaction was also included as a way of assessing how the predictors of job engagement differ from those associated with other job attitudes. Health and allied health care professionals (n = 516) from two Australian community health services took part in the current investigation. Responses from the two organizations were pooled and analyzed using linear multiple regression. The analyses revealed that three working conditions were predictive of both job engagement and job satisfaction (i.e., job control, quantitative demands, and unrewarding management practices). There was some evidence of differential effects with cognitive demands being associated with job engagement, but not job satisfaction. The results provide important insights into the working conditions that, if addressed, could play key roles in building a more engaged and satisfied community health workforce. Furthermore, working conditions like job control and management practices are amenable to change and thus represent important areas where community health services could enhance the energetic and motivational resources of their employees.
Rajwani, Adil; Shirazi, Masoumeh G; Disney, Patrick J S; Wong, Dennis T L; Teo, Karen S L; Delacroix, Sinny; Chokka, Ramesh G; Young, Glenn D; Worthley, Stephen G
2015-12-01
Predictors of residual leak following percutaneous LAA closure were evaluated. Left atrial appendage (LAA) closure aims to exclude this structure from the circulation, typically using a circular occluder. A noncircular orifice is frequently encountered however, and fibrous remodeling of the LAA in atrial fibrillation may restrict orifice deformation. Noncircularity may thus be implicated in the occurrence of residual leak despite an appropriately oversized device. Pre-procedural multislice computerized tomography was used to quantify LAA orifice eccentricity and irregularity. Univariate predictors of residual leak were identified with respect to the orifice, device, and relevant clinical variables, with the nature of any correlations then further evaluated. Eccentricity and irregularity indexes of the orifice in 31 individuals were correlated with residual leak even where the device was appropriately oversized. An eccentricity index of 0.15 predicted a residual leak with 85% sensitivity and 59% specificity. An irregularity index of 0.05 predicted a significant residual leak ≥3 mm with 100% sensitivity and 86% specificity. Orifice size, device size, degree of device oversize, left atrial volume, and pulmonary artery pressure were not predictors of residual leak. Eccentricity and irregularity of the LAA orifice are implicated in residual leak after percutaneous closure even where there is appropriate device over-size. Irregularity index in particular is a novel predictor of residual leak, supporting a closer consideration of orifice morphology before closure. Copyright © 2015 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.
Jin, Shuo; Shi, Xiao-Ju; Sun, Xiao-Dong; Zhang, Ping; Lv, Guo-Yue; Du, Xiao-Hong; Wang, Si-Yuan; Wang, Guang-Yi
2015-01-01
Abstract This article aims to identify risk factors for postoperative pancreatic fistula (POPF) and evaluate the gastric/pancreatic amylase ratio (GPAR) on postoperative day (POD) 3 as a POPF predictor in patients who undergo pancreaticoduodenectomy (PD). POPF significantly contributes to mortality and morbidity in patients who undergo PD. Previously identified predictors for POPF often have low predictive accuracy. Therefore, accurate POPF predictors are needed. In this prospective cohort study, we measured the clinical and biochemical factors of 61 patients who underwent PD and diagnosed POPF according to the definition of the International Study Group of Pancreatic Fistula. We analyzed the association between POPF and various factors, identified POPF risk factors, and evaluated the predictive power of the GPAR on POD3 and the levels of serum and ascites amylase. Of the 61 patients, 21 developed POPF. The color of the pancreatic drain fluid, POD1 serum, POD1 median output of pancreatic drain fluid volume, and GPAR were significantly associated with POPF. The color of the pancreatic drain fluid and high GPAR were independent risk factors. Although serum and ascites amylase did not predict POPF accurately, the cutoff value was 1.24, and GPAR predicted POPF with high sensitivity and specificity. This is the first report demonstrating that high GPAR on POD3 is a risk factor for POPF and showing that GPAR is a more accurate predictor of POPF than the previously reported amylase markers. PMID:25621676
Low verbal ability predicts later violence in adolescent boys with serious conduct problems.
Manninen, Marko; Lindgren, Maija; Huttunen, Matti; Ebeling, Hanna; Moilanen, Irma; Kalska, Hely; Suvisaari, Jaana; Therman, Sebastian
2013-10-01
Delinquent adolescents are a known high-risk group for later criminality. Cognitive deficits correlate with adult criminality, and specific cognitive deficits might predict later criminality in the high-risk adolescents. This study aimed to explore the neuropsychological performance and predictors of adult criminal offending in adolescents with severe behavioural problems. Fifty-three adolescents (33 boys and 20 girls), aged 15-18 years, residing in a reform school due to serious conduct problems, were examined for neuropsychological profile and psychiatric symptoms. Results were compared with a same-age general population control sample, and used for predicting criminality 5 years after the baseline testing. The reform school adolescents' neuropsychological performance was weak on many tasks, and especially on the verbal domain. Five years after the baseline testing, half of the reform school adolescents had obtained a criminal record. Males were overrepresented in both any criminality (75% vs. 10%) and in violent crime (50% vs. 5%). When cognitive variables, psychiatric symptoms and background factors were used as predictors for later offending, low verbal intellectual ability turned out to be the most significant predictor of a criminal record and especially a record of violent crime. Neurocognitive deficits, especially in the verbal and attention domains, are common among delinquent adolescents. Among males, verbal deficits are the best predictors for later criminal offending and violence. Assessing verbal abilities among adolescent population with conduct problems might prove useful as a screening method for inclusion in specific therapies for aggression management.
Jin, Shuo; Shi, Xiao-Ju; Sun, Xiao-Dong; Zhang, Ping; Lv, Guo-Yue; Du, Xiao-Hong; Wang, Si-Yuan; Wang, Guang-Yi
2015-01-01
This article aims to identify risk factors for postoperative pancreatic fistula (POPF) and evaluate the gastric/pancreatic amylase ratio (GPAR) on postoperative day (POD) 3 as a POPF predictor in patients who undergo pancreaticoduodenectomy (PD).POPF significantly contributes to mortality and morbidity in patients who undergo PD. Previously identified predictors for POPF often have low predictive accuracy. Therefore, accurate POPF predictors are needed.In this prospective cohort study, we measured the clinical and biochemical factors of 61 patients who underwent PD and diagnosed POPF according to the definition of the International Study Group of Pancreatic Fistula. We analyzed the association between POPF and various factors, identified POPF risk factors, and evaluated the predictive power of the GPAR on POD3 and the levels of serum and ascites amylase.Of the 61 patients, 21 developed POPF. The color of the pancreatic drain fluid, POD1 serum, POD1 median output of pancreatic drain fluid volume, and GPAR were significantly associated with POPF. The color of the pancreatic drain fluid and high GPAR were independent risk factors. Although serum and ascites amylase did not predict POPF accurately, the cutoff value was 1.24, and GPAR predicted POPF with high sensitivity and specificity.This is the first report demonstrating that high GPAR on POD3 is a risk factor for POPF and showing that GPAR is a more accurate predictor of POPF than the previously reported amylase markers.
Heiduschka, Gregor; Virk, Sohaib A; Palme, Carsten E; Ch'ng, Sydney; Elliot, Michael; Gupta, Ruta; Clark, Jonathan
2016-04-01
To assess whether small oral squamous cell carcinomas (OSCC) require the same margin clearance as large tumors. We evaluated the association between the ratio of the closest margin to tumor size (MSR) and tumor thickness (MTR) with local control and survival. The clinicopathologic and follow up data were obtained for 501 OSCC patients who had surgical resection with curative intent at our institution. MTR and MSR were computed and their associations with local control and survival were assessed using multivariable Cox-regression model. Survival curves were generated using the Kaplan-Meier method. MTR was a better predictor of disease control than MSR. MTR was a predictor of local failure (p=0.033) and disease specific death (p=0.038) after adjusting for perineural invasion, lymphovascular involvement, nodal status, and radiotherapy. A threshold MTR value of 0.3 was identified, above which the risk of local recurrence was low. The ratio of margin to tumor thickness was an independent predictor for local recurrence and disease specific death in this cohort. A MTR>0.3 can serve as a useful tool for adjuvant therapy planning as it combines tumor thickness and margin clearance, two well established prognostic factors. The minimum safe margin can be calculated by multiplying the tumor thickness by 0.3. Further prospective studies in other institutions are warranted to confirm the prognostic utility of MTR and assess the generalizability of our threshold values. Copyright © 2016 Elsevier Ltd. All rights reserved.
Rio, Alan; Whelan, Kevin; Goff, Louise; Reidlinger, Dianne Patricia; Smeeton, Nigel
2013-01-01
Background Refeeding syndrome is a potentially life-threatening condition characterised by severe intracellular electrolyte shifts, acute circulatory fluid overload and organ failure. The initial symptoms are non-specific but early clinical features are severely low-serum electrolyte concentrations of potassium, phosphate or magnesium. Risk factors for the syndrome include starvation, chronic alcoholism, anorexia nervosa and surgical interventions that require lengthy periods of fasting. The causes of the refeeding syndrome are excess or unbalanced enteral, parenteral or oral nutritional intake. Prevention of the syndrome includes identification of individuals at risk, controlled hypocaloric nutritional intake and supplementary electrolyte replacement. Objective To determine the occurrence of refeeding syndrome in adults commenced on artificial nutrition support. Design Prospective cohort study. Setting Large, single site university teaching hospital. Recruitment period 2007–2009. Participants 243 adults started on artificial nutrition support for the first time during that admission recruited from wards and intensive care. Main outcome measures Primary outcome: occurrence of the refeeding syndrome. Secondary outcome: analysis of the risk factors which predict the refeeding syndrome. Tertiary outcome: mortality due to refeeding syndrome and all-cause mortality. Results 133 participants had one or more of the following risk factors: body mass index <16–18.5≥(kg/m2), unintentional weight loss >15% in the preceding 3–6 months, very little or no nutritional intake >10 days, history of alcohol or drug abuse and low baseline levels of serum potassium, phosphate or magnesium prior to recruitment. Poor nutritional intake for more than 10 days, weight loss >15% prior to recruitment and low-serum magnesium level at baseline predicted the refeeding syndrome with a sensitivity of 66.7%: specificity was >80% apart from weight loss of >15% which was 59.1%. Baseline low-serum magnesium was an independent predictor of the refeeding syndrome (p=0.021). Three participants (2% 3/243) developed severe electrolyte shifts, acute circulatory fluid overload and disturbance to organ function following artificial nutrition support and were diagnosed with refeeding syndrome. There were no deaths attributable to the refeeding syndrome, but (5.3% 13/243) participants died during the feeding period and (28% 68/243) died during hospital admission. Death of these participants was due to cerebrovascular accident, traumatic injury, respiratory failure, organ failure or end-of-life causes. Conclusions Refeeding syndrome was a rare, survivable phenomenon that occurred during hypocaloric nutrition support in participants identified at risk. Independent predictors for refeeding syndrome were starvation and baseline low-serum magnesium concentration. Intravenous carbohydrate infusion prior to artificial nutrition support may have precipitated the onset of the syndrome. PMID:23315514
Deciphering kinase-substrate relationships by analysis of domain-specific phosphorylation network.
Damle, Nikhil Prakash; Mohanty, Debasisa
2014-06-15
In silico prediction of site-specific kinase-substrate relationships (ssKSRs) is crucial for deciphering phosphorylation networks by linking kinomes to phosphoproteomes. However, currently available predictors for ssKSRs give rise to a large number of false-positive results because they use only a short sequence stretch around phosphosite as determinants of kinase specificity and do not consider the biological context of kinase-substrate recognition. Based on the analysis of domain-specific kinase-substrate relationships, we have constructed a domain-level phosphorylation network that implicitly incorporates various contextual factors. It reveals preferential phosphorylation of specific domains by certain kinases. These novel correlations have been implemented in PhosNetConstruct, an automated program for predicting target kinases for a substrate protein. PhosNetConstruct distinguishes cognate kinase-substrate pairs from a large number of non-cognate combinations. Benchmarking on independent datasets using various statistical measures demonstrates the superior performance of PhosNetConstruct over ssKSR-based predictors. PhosNetConstruct is freely available at http://www.nii.ac.in/phosnetconstruct.html. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.
Finding structure in data using multivariate tree boosting
Miller, Patrick J.; Lubke, Gitta H.; McArtor, Daniel B.; Bergeman, C. S.
2016-01-01
Technology and collaboration enable dramatic increases in the size of psychological and psychiatric data collections, but finding structure in these large data sets with many collected variables is challenging. Decision tree ensembles such as random forests (Strobl, Malley, & Tutz, 2009) are a useful tool for finding structure, but are difficult to interpret with multiple outcome variables which are often of interest in psychology. To find and interpret structure in data sets with multiple outcomes and many predictors (possibly exceeding the sample size), we introduce a multivariate extension to a decision tree ensemble method called gradient boosted regression trees (Friedman, 2001). Our extension, multivariate tree boosting, is a method for nonparametric regression that is useful for identifying important predictors, detecting predictors with nonlinear effects and interactions without specification of such effects, and for identifying predictors that cause two or more outcome variables to covary. We provide the R package ‘mvtboost’ to estimate, tune, and interpret the resulting model, which extends the implementation of univariate boosting in the R package ‘gbm’ (Ridgeway et al., 2015) to continuous, multivariate outcomes. To illustrate the approach, we analyze predictors of psychological well-being (Ryff & Keyes, 1995). Simulations verify that our approach identifies predictors with nonlinear effects and achieves high prediction accuracy, exceeding or matching the performance of (penalized) multivariate multiple regression and multivariate decision trees over a wide range of conditions. PMID:27918183
Mueller-Bamouh, Veronika; Ruf-Leuschner, Martina; Dohrmann, Katalin; Schauer, Maggie; Elbert, Thomas
2016-01-01
Background There is strong support for familial abuse as a risk factor for later delinquency and violent offending, whereas empirical evidence about the contribution of experienced organized violence to the cycle of violence is less clear. Nevertheless not all abused children do become violent offenders. This raises the question of which factors influence these children's risk of future aggressive behavior. Recent evidence suggests that the trait of appetitive aggression plays an important role in the prediction of aggressive behavior. Objective The focus of the study is to investigate whether exposures to 1) organized; and 2) family violence equally contribute to aggressive behavior and how this is related to a trait of appetitive aggression. Furthermore it is of interest to uncover how the severity of posttraumatic stress disorder (PTSD) symptoms modulates associations between violent experiences and aggression. Method To answer these questions, we investigated unaccompanied refugee minors who had been exposed to varying levels of both violence types. Using structured interviews, experiences of organized and familial violence, self-committed aggressive acts, the trait of appetitive aggression, and PTSD symptoms were assessed in 49 volunteers. Results A sequential regression analysis revealed that the trait of appetitive aggression and experienced family violence were independent and significant predictors of self-committed aggressive acts, altogether accounting for 70% of the variance. Exposure to organized violence, however, was not significantly associated with aggressive acts or appetitive aggression. PTSD symptom severity was not correlated with measures of aggression but with the exposure to familial and organized violence. Conclusions Results suggest that in addition to the impact of family violence, an elevated trait of appetitive aggression plays a crucial role in aggressive behavior and should be considered in psychotherapeutic treatment. PMID:26886483
Mueller-Bamouh, Veronika; Ruf-Leuschner, Martina; Dohrmann, Katalin; Schauer, Maggie; Elbert, Thomas
2016-01-01
There is strong support for familial abuse as a risk factor for later delinquency and violent offending, whereas empirical evidence about the contribution of experienced organized violence to the cycle of violence is less clear. Nevertheless not all abused children do become violent offenders. This raises the question of which factors influence these children's risk of future aggressive behavior. Recent evidence suggests that the trait of appetitive aggression plays an important role in the prediction of aggressive behavior. The focus of the study is to investigate whether exposures to 1) organized; and 2) family violence equally contribute to aggressive behavior and how this is related to a trait of appetitive aggression. Furthermore it is of interest to uncover how the severity of posttraumatic stress disorder (PTSD) symptoms modulates associations between violent experiences and aggression. To answer these questions, we investigated unaccompanied refugee minors who had been exposed to varying levels of both violence types. Using structured interviews, experiences of organized and familial violence, self-committed aggressive acts, the trait of appetitive aggression, and PTSD symptoms were assessed in 49 volunteers. A sequential regression analysis revealed that the trait of appetitive aggression and experienced family violence were independent and significant predictors of self-committed aggressive acts, altogether accounting for 70% of the variance. Exposure to organized violence, however, was not significantly associated with aggressive acts or appetitive aggression. PTSD symptom severity was not correlated with measures of aggression but with the exposure to familial and organized violence. Results suggest that in addition to the impact of family violence, an elevated trait of appetitive aggression plays a crucial role in aggressive behavior and should be considered in psychotherapeutic treatment.
Unified dead-time compensation structure for SISO processes with multiple dead times.
Normey-Rico, Julio E; Flesch, Rodolfo C C; Santos, Tito L M
2014-11-01
This paper proposes a dead-time compensation structure for processes with multiple dead times. The controller is based on the filtered Smith predictor (FSP) dead-time compensator structure and it is able to control stable, integrating, and unstable processes with multiple input/output dead times. An equivalent model of the process is first computed in order to define the predictor structure. Using this equivalent model, the primary controller and the predictor filter are tuned to obtain an internally stable closed-loop system which also attempts some closed-loop specifications in terms of set-point tracking, disturbance rejection, and robustness. Some simulation case studies are used to illustrate the good properties of the proposed approach. Copyright © 2014 ISA. Published by Elsevier Ltd. All rights reserved.
Predictors of Outcomes in Autism Early Intervention: Why Don’t We Know More?
Vivanti, Giacomo; Prior, Margot; Williams, Katrina; Dissanayake, Cheryl
2014-01-01
Response to early intervention programs in autism is variable. However, the factors associated with positive versus poor treatment outcomes remain unknown. Hence the issue of which intervention/s should be chosen for an individual child remains a common dilemma. We argue that lack of knowledge on “what works for whom and why” in autism reflects a number of issues in current approaches to outcomes research, and we provide recommendations to address these limitations. These include: a theory-driven selection of putative predictors; the inclusion of proximal measures that are directly relevant to the learning mechanisms demanded by the specific educational strategies; the consideration of family characteristics. Moreover, all data on associations between predictor and outcome variables should be reported in treatment studies. PMID:24999470
Ability of sextant biopsies to predict radical prostatectomy stage.
Wills, M L; Sauvageot, J; Partin, A W; Gurganus, R; Epstein, J I
1998-05-01
There are few studies evaluating multiple variables on sextant biopsies with the intent to predict stage in radical prostatectomy specimens. We studied 113 sextant biopsies with corresponding totally submitted radical prostatectomy specimens. Variables evaluated on sextant biopsies included total length and percent of cancer; maximum length and percent of cancer on one core; location (apex, mid, base); bilaterality; Gleason grade; number of cores involved; serum prostate-specific antigen (PSA) level; and serum PSA density (PSAD). Radical prostatectomy stage was classified as organ versus non-organ confined. The following variables individually correlated with radical prostatectomy stage: total cancer measured in millimeters (P <0.0001) or percent (P <0.0005); biopsy Gleason score (P <0.0001); number of involved cores (P <0.0001); maximum cancer on one core measured in millimeters (P = 0.0001); maximum percent of cancer on one core (P = 0.01); bilaterality (P = 0.01); PSA level (P = 0.03), and PSAD (P = 0.001). The most predictive sets of two variables that correlated with stage included high Gleason score (P <0.0001) combined with numbers of cores involved (P = 0.002). When biopsies had Gleason scores of 6 or less, two or fewer positive cores, and serum PSA of 0 to 4 ng/mL, 89% were organ confined. When biopsies had Gleason scores of 6 or less with two unilaterally positive cores, 87% were organ confined. In biopsies with Gleason scores of 7 or more and more than one positive core, only 10% were organ confined. The most important predictors of stage by sextant needle biopsy evaluation are numbers of cores involved with carcinoma and high Gleason score. Bilaterality and serum PSA values improved prediction in two small subgroups. In 37% of our population we were able to predict with a greater than 87% probability the organ-confined versus non-organ-confined status.
Automated systems to identify relevant documents in product risk management
2012-01-01
Background Product risk management involves critical assessment of the risks and benefits of health products circulating in the market. One of the important sources of safety information is the primary literature, especially for newer products which regulatory authorities have relatively little experience with. Although the primary literature provides vast and diverse information, only a small proportion of which is useful for product risk assessment work. Hence, the aim of this study is to explore the possibility of using text mining to automate the identification of useful articles, which will reduce the time taken for literature search and hence improving work efficiency. In this study, term-frequency inverse document-frequency values were computed for predictors extracted from the titles and abstracts of articles related to three tumour necrosis factors-alpha blockers. A general automated system was developed using only general predictors and was tested for its generalizability using articles related to four other drug classes. Several specific automated systems were developed using both general and specific predictors and training sets of different sizes in order to determine the minimum number of articles required for developing such systems. Results The general automated system had an area under the curve value of 0.731 and was able to rank 34.6% and 46.2% of the total number of 'useful' articles among the first 10% and 20% of the articles presented to the evaluators when tested on the generalizability set. However, its use may be limited by the subjective definition of useful articles. For the specific automated system, it was found that only 20 articles were required to develop a specific automated system with a prediction performance (AUC 0.748) that was better than that of general automated system. Conclusions Specific automated systems can be developed rapidly and avoid problems caused by subjective definition of useful articles. Thus the efficiency of product risk management can be improved with the use of specific automated systems. PMID:22380483
Role of specific IgE and skin-prick testing in predicting food challenge results to baked egg
Cortot, Catherine F.; Sheehan, William J.; Permaul, Perdita; Friedlander, James L.; Baxi, Sachin N.; Gaffin, Jonathan M.; Dioun, Anahita F.; Hoffman, Elaine B.; Schneider, Lynda C.
2012-01-01
Previous studies suggest that children with egg allergy may be able to tolerate baked egg. Reliable predictors of a successful baked egg challenge are not well established. We examined egg white–specific IgE levels, skin-prick test (SPT) results, and age as predictors of baked egg oral food challenge (OFC) outcomes. We conducted a retrospective chart review of children, aged 2–18 years, receiving an egg white–specific IgE level, SPT, and OFC to baked egg from 2008 to 2010. Fifty-two oral baked egg challenges were conducted. Of the 52 challenges, 83% (n = 43) passed and 17% (n = 9) failed, including 2 having anaphylaxis. Median SPT wheal size was 12 mm (range, 0–35 mm) for passed challenges and 17 mm (range, 10–30 mm) for failed challenges (p = 0.091). The negative predictive value for passing the OFC was 100% (9 of 9) if SPT wheal size was <10 mm. Median egg white–specific IgE was 2.02 kU/L (range, <0.35–13.00 kU/L) for passed challenges and 1.52 kU/L (range, 0.51–6.10 kU/L) for failed challenges (p = 0.660). Receiver operating characteristic (ROC) curve analysis for SPT revealed an area under the curve (AUC) of 0.64. ROC curve analysis for egg white–specific IgE revealed an AUC of 0.63. There was no significant difference in age between patients who failed and those who passed (median = 8.8 years versus 7.0 years; p = 0.721). Based on our sample, SPT, egg white–specific IgE and age are not good predictors of passing a baked egg challenge. However, there was a trend for more predictability with SPT wheal size. PMID:22584194
USDA-ARS?s Scientific Manuscript database
Cholesterol to phospholipid ratio is used as a representation for membrane fluidity, and predictor of cryopreservation success but results are not consistent across species and ignore the impact of membrane proteins. Therefore, this research explored the modulation of membrane fluidity and protein ...
ERIC Educational Resources Information Center
Mowday, Richard T.; And Others
1978-01-01
Female clerical employees (N=314) in two regional offices of a large insurance company were administered Jackson's Personality Research Form. Turnover data were collected up to eight months following administration of the questionnaire. Relationships were found between employee characteristics and turnover in both samples. (Author)
Influences on Employee Perceptions of Organizational Work-Life Support: Signals and Resources
ERIC Educational Resources Information Center
Valcour, Monique; Ollier-Malaterre, Ariane; Matz-Costa, Christina; Pitt-Catsouphes, Marcie; Brown, Melissa
2011-01-01
This study examined predictors of employee perceptions of organizational work-life support. Using organizational support theory and conservation of resources theory, we reasoned that workplace demands and resources shape employees' perceptions of work-life support through two mechanisms: signaling that the organization cares about their work-life…
Moehring, Anne; Schroeders, Ulrich; Wilhelm, Oliver
2018-01-01
Medical education research has focused almost entirely on the education of future physicians. In comparison, findings on other health-related occupations, such as medical assistants, are scarce. With the current study, we wanted to examine the knowledge-is-power hypothesis in a real life educational setting and add to the sparse literature on medical assistants. Acquisition of vocational knowledge in vocational education and training (VET) was examined for medical assistant students ( n = 448). Differences in domain-specific vocational knowledge were predicted by crystallized and fluid intelligence in the course of VET. A multiple matrix design with 3 year-specific booklets was used for the vocational knowledge tests of the medical assistants. The unique and joint contributions of the predictors were investigated with structural equation modeling. Crystallized intelligence emerged as the strongest predictor of vocational knowledge at every stage of VET, while fluid intelligence only showed weak effects. The present results support the knowledge-is-power hypothesis, even in a broad and more naturalistic setting. This emphasizes the relevance of general knowledge for occupations, such as medical assistants, which are more focused on learning hands-on skills than the acquisition of academic knowledge.
Buck Louis, Germaine M; Druschel, Charlotte; Bell, Erin; Stern, Judy E; Luke, Barbara; McLain, Alexander; Sundaram, Rajeshwari; Yeung, Edwina
2015-06-01
To assess the validity of maternally reported assisted reproductive technologies (ART) use and to identify predictors of reporting errors. Linkage study. Not applicable. A total of 5,034 (27%) mothers enrolled, from whom 4,886 (97%) self-reported information about use of infertility treatment, including ART, for the index birth. None. Four measures of validity (sensitivity, specificity, positive and negative predictive values) and use of net reclassification improvement (NRI) methods to identify predictors associated with concordant/discordant maternal reporting. The Upstate New York Infant Development Screening Program (Update KIDS Study) was linked with the Society for Assisted Reproductive Technology Clinic Outcome Reporting System (SART CORS) using a defined algorithm for 2008-2010. The sensitivity, specificity, positive and negative predictive values were high (0.93, 0.99, 0.80, and 1.00, respectively). The validity of maternal report was high, reflecting few differences by participant characteristics except for maternal age dichotomized at 29 years as identified with NRI methods. Maternally reported ART is valid, with little variation across various characteristics. No strong predictors of discordant reporting were found, supporting the utility of population-based research with SART CORS linkage. Published by Elsevier Inc.
Preschool Predictors of School-Age Academic Achievement in Autism Spectrum Disorder
Miller, Lauren E.; Burke, Jeffrey D.; Troyb, Eva; Knoch, Kelley; Herlihy, Lauren E.; Fein, Deborah A.
2017-01-01
Objective Characterization of academic functioning in children with autism spectrum disorder (ASD), particularly predictors of achievement, may have important implications for intervention. The current study aimed to characterize achievement profiles, confirm associations between academic ability and concurrent intellectual and social skills, and explore preschool predictors of school-age academic achievement in a sample of children with ASD. Method Children with ASD (N = 26) were evaluated at the approximate ages of two, four, and ten years. Multiple regression was used to predict school-age academic achievement in reading and mathematics from both concurrent (i.e., school-age) and preschool variables. Results Children with ASD demonstrated a weakness in reading comprehension relative to word reading. There was a smaller difference between mathematics skills; math reasoning was lower than numerical operations, but this did not quite reach trend level significance. Concurrent IQ and social skills were associated with school-age academic achievement across domains. Preschool verbal abilities significantly predicted school-age reading comprehension, above and beyond concurrent IQ, and early motor functioning predicted later math skills. Conclusions Specific developmental features of early ASD predict specific aspects of school-age achievement. Early intervention targeting language and motor skills may improve later achievement in this population. PMID:27705180