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Sample records for dnabindprot fluctuation-based predictor

  1. Fluctuation-based imaging of nuclear Rac1 activation by protein oligomerisation

    NASA Astrophysics Data System (ADS)

    Hinde, Elizabeth; Yokomori, Kyoko; Gaus, Katharina; Hahn, Klaus M.; Gratton, Enrico

    2014-02-01

    Here we describe a fluctuation-based method to quantify how protein oligomerisation modulates signalling activity of a multifunctional protein. By recording fluorescence lifetime imaging microscopy (FLIM) data of a FRET biosensor in a format that enables concomitant phasor and cross Number and Brightness (cN&B) analysis, we measure the nuclear dynamics of a Rac1 FRET biosensor and assess how Rac1 homo-oligomers (N&B) regulate Rac1 activity (hetero-oligomerisation with the biosensor affinity reagent, PBD, by FLIM-FRET) or interaction with an unknown binding partner (cN&B). The high spatiotemporal resolution of this method allowed us to discover that upon DNA damage monomeric and active Rac1 in the nucleus is segregated from dimeric and inactive Rac1 in the cytoplasm. This reorganisation requires Rac1 GTPase activity and is associated with an importin-α2 redistribution. Only with this multiplexed approach can we assess the oligomeric state a molecular complex must form in order to regulate a complex signalling network.

  2. Spectral Predictors

    SciTech Connect

    Ibarria, L; Lindstrom, P; Rossignac, J

    2006-11-17

    Many scientific, imaging, and geospatial applications produce large high-precision scalar fields sampled on a regular grid. Lossless compression of such data is commonly done using predictive coding, in which weighted combinations of previously coded samples known to both encoder and decoder are used to predict subsequent nearby samples. In hierarchical, incremental, or selective transmission, the spatial pattern of the known neighbors is often irregular and varies from one sample to the next, which precludes prediction based on a single stencil and fixed set of weights. To handle such situations and make the best use of available neighboring samples, we propose a local spectral predictor that offers optimal prediction by tailoring the weights to each configuration of known nearby samples. These weights may be precomputed and stored in a small lookup table. We show that predictive coding using our spectral predictor improves compression for various sources of high-precision data.

  3. Predictors of Happiness.

    ERIC Educational Resources Information Center

    Kozma, Albert; Stones, M. J.

    1983-01-01

    Studied the stability of happiness for rural, urban, and institutionalized Canadian older adults (N=600). For urban and institutionalized persons housing satisfaction was the main predictor; for rural individuals, health and marital status remained consistent predictors. Results showed that although predictors differ, happiness remains stable in…

  4. Fairness and the Predictors.

    ERIC Educational Resources Information Center

    Ellett, Frederick S., Jr.

    Certain conditions are investigated as to whether they are necessary or sufficient to indicate the fairness of a test, or predictor, in its role in the college admissions procedure. Eight general positions are considered that have claimed to provide sufficient conditions for the unbiasedness of a standardized test or predictor: (1) equal test…

  5. Distillation Column Flooding Predictor

    SciTech Connect

    2002-02-01

    This factsheet describes a research project whose goal is to develop the flooding predictor, an advanced process control strategy, into a universally useable tool that will maximize the separation yield of a distillation column.

  6. Predictors of happiness.

    PubMed

    Kozma, A; Stones, M J

    1983-09-01

    The current investigation reports findings on the temporal stability of happiness as assessed by the Memorial University of Newfoundland Scale of Happiness (MUNSH), and the stability of the predictor/happiness relationships in three subgroups of persons over 64 years of age. Respondents were interviewed twice, 18 months apart, on the MUNSH and on nine established correlates. Separate multiple regression analyses were used to assess the predictor/happiness relationship for each phase. The stability of happiness was evaluated by the inclusion of phase 1 MUNSH scores in the phase 2 predictor array. For urban and institutional persons the main independent predictors of happiness in both phases were housing satisfaction, health, activities, and changes in life events. For rural individuals only health and marital status remained consistent predictors for both phases. Happiness, greater in rural than in institutionalized persons, remained stable for all groups, with an average of 86% of the accounted MUNSH 2 variance due to MUNSH 1 scores. These results show that, although predictor effectiveness may differ across subgroups, happiness remains stable in later years.

  7. Pharmacogenetic Predictors of Response.

    PubMed

    Hertz, Daniel L; Rae, James M

    2016-01-01

    Pharmacogenetics attempts to predict treatment response using a patient's "germline" genome as the biomarker of interest. This chapter on pharmacogenetic predictors of breast cancer response is divided into four sections. The first introduces readers to genetic variation and describes how variation in the germline genome can affect biology or pharmacology. The second section introduces the translational pathway for pharmacogenetic research and discusses the specific challenges to identifying pharmacogenetic predictors of breast cancer response. The third section is divided into three subsections, each of which discusses a distinct category of pharmacogenetic response predictors; pharmacokinetics, cancer cell sensitivity, and effector cell activation. Within each subsection a specific pharmacogenetic association is described in detail; CYP2D6-tamoxifen, BRCA-PARP inhibitors, and FCGRA-trastuzumab, respectively, followed by a general discussion of other less well-established examples or areas for further research. The chapter concludes with a summary of the current status of pharmacogenetic predictors of breast cancer response and a few predictions for the future of this field.

  8. Pharmacogenetic Predictors of Response.

    PubMed

    Hertz, Daniel L; Rae, James M

    2016-01-01

    Pharmacogenetics attempts to predict treatment response using a patient's "germline" genome as the biomarker of interest. This chapter on pharmacogenetic predictors of breast cancer response is divided into four sections. The first introduces readers to genetic variation and describes how variation in the germline genome can affect biology or pharmacology. The second section introduces the translational pathway for pharmacogenetic research and discusses the specific challenges to identifying pharmacogenetic predictors of breast cancer response. The third section is divided into three subsections, each of which discusses a distinct category of pharmacogenetic response predictors; pharmacokinetics, cancer cell sensitivity, and effector cell activation. Within each subsection a specific pharmacogenetic association is described in detail; CYP2D6-tamoxifen, BRCA-PARP inhibitors, and FCGRA-trastuzumab, respectively, followed by a general discussion of other less well-established examples or areas for further research. The chapter concludes with a summary of the current status of pharmacogenetic predictors of breast cancer response and a few predictions for the future of this field. PMID:26987536

  9. Child Lifestyles Predictors

    ERIC Educational Resources Information Center

    Özpolat, Ahmet Ragip

    2014-01-01

    The purpose of this study is to explain the effectiveness of parental attitudes, socio-economic status and gender in determining the predictors of child lifestyles. The study group consists of three hundred and fifty (350) eighth grade students studying in the province of Erzincan during the 2012-2013 academic year; the students are selected by…

  10. Predictors of human rotation.

    PubMed

    Stochl, Jan; Croudace, Tim

    2013-01-01

    Why some humans prefer to rotate clockwise rather than anticlockwise is not well understood. This study aims to identify the predictors of the preferred rotation direction in humans. The variables hypothesised to influence rotation preference include handedness, footedness, sex, brain hemisphere lateralisation, and the Coriolis effect (which results from geospatial location on the Earth). An online questionnaire allowed us to analyse data from 1526 respondents in 97 countries. Factor analysis showed that the direction of rotation should be studied separately for local and global movements. Handedness, footedness, and the item hypothesised to measure brain hemisphere lateralisation are predictors of rotation direction for both global and local movements. Sex is a predictor of the direction of global rotation movements but not local ones, and both sexes tend to rotate clockwise. Geospatial location does not predict the preferred direction of rotation. Our study confirms previous findings concerning the influence of handedness, footedness, and sex on human rotation; our study also provides new insight into the underlying structure of human rotation movements and excludes the Coriolis effect as a predictor of rotation.

  11. Predictors of male microchimerism.

    PubMed

    Kamper-Jørgensen, Mads; Mortensen, Laust Hvas; Andersen, Anne-Marie Nybo; Hjalgrim, Henrik; Gadi, Vijayakrishna K; Tjønneland, Anne

    2012-01-01

    The association between microchimerism acquired primarily through pregnancy and later disease is of increasing scientific interest. Because this line of research is new and little is known about the nature of microchimerism, studies of microchimerism are potentially vulnerable to error from confounding and reverse causation. To address the issue of confounding, we conducted an analysis of predictors of male microchimerism in 272 female participants of the Danish Diet, Cancer and Health cohort. Buffy coat DNA was tested for Y chromosome presence as a marker of male microchimerism. First, we used logistic regression and thereafter random forest modeling to evaluate the ability of a range of reproductive, lifestyle, hospital or clinic visit history, and other variables to predict whether women tested positive for male microchimerism. We found some indication that current use of contraceptive pills and hormone replacement therapy reduced the odds of testing positive for male microchimerism. However, prediction of male microchimerism presence was poor based on the available variables. Studies of the possible role of male microchimerism in maternal health and disease are therefore unlikely to be heavily confounded by the variables examined in the present investigation. More research focused on acquisition, retention and clearing of male cells in the maternal circulation is needed. PMID:22926759

  12. Predictors of male microchimerism.

    PubMed

    Kamper-Jørgensen, Mads; Mortensen, Laust Hvas; Andersen, Anne-Marie Nybo; Hjalgrim, Henrik; Gadi, Vijayakrishna K; Tjønneland, Anne

    2012-01-01

    The association between microchimerism acquired primarily through pregnancy and later disease is of increasing scientific interest. Because this line of research is new and little is known about the nature of microchimerism, studies of microchimerism are potentially vulnerable to error from confounding and reverse causation. To address the issue of confounding, we conducted an analysis of predictors of male microchimerism in 272 female participants of the Danish Diet, Cancer and Health cohort. Buffy coat DNA was tested for Y chromosome presence as a marker of male microchimerism. First, we used logistic regression and thereafter random forest modeling to evaluate the ability of a range of reproductive, lifestyle, hospital or clinic visit history, and other variables to predict whether women tested positive for male microchimerism. We found some indication that current use of contraceptive pills and hormone replacement therapy reduced the odds of testing positive for male microchimerism. However, prediction of male microchimerism presence was poor based on the available variables. Studies of the possible role of male microchimerism in maternal health and disease are therefore unlikely to be heavily confounded by the variables examined in the present investigation. More research focused on acquisition, retention and clearing of male cells in the maternal circulation is needed.

  13. Distillation Column Flooding Predictor

    SciTech Connect

    George E. Dzyacky

    2010-11-23

    The Flooding Predictor™ is a patented advanced control technology proven in research at the Separations Research Program, University of Texas at Austin, to increase distillation column throughput by over 6%, while also increasing energy efficiency by 10%. The research was conducted under a U. S. Department of Energy Cooperative Agreement awarded to George Dzyacky of 2ndpoint, LLC. The Flooding Predictor™ works by detecting the incipient flood point and controlling the column closer to its actual hydraulic limit than historical practices have allowed. Further, the technology uses existing column instrumentation, meaning no additional refining infrastructure is required. Refiners often push distillation columns to maximize throughput, improve separation, or simply to achieve day-to-day optimization. Attempting to achieve such operating objectives is a tricky undertaking that can result in flooding. Operators and advanced control strategies alike rely on the conventional use of delta-pressure instrumentation to approximate the column’s approach to flood. But column delta-pressure is more an inference of the column’s approach to flood than it is an actual measurement of it. As a consequence, delta pressure limits are established conservatively in order to operate in a regime where the column is never expected to flood. As a result, there is much “left on the table” when operating in such a regime, i.e. the capacity difference between controlling the column to an upper delta-pressure limit and controlling it to the actual hydraulic limit. The Flooding Predictor™, an innovative pattern recognition technology, controls columns at their actual hydraulic limit, which research shows leads to a throughput increase of over 6%. Controlling closer to the hydraulic limit also permits operation in a sweet spot of increased energy-efficiency. In this region of increased column loading, the Flooding Predictor is able to exploit the benefits of higher liquid

  14. A fourth generation reliability predictor

    NASA Technical Reports Server (NTRS)

    Bavuso, Salvatore J.; Martensen, Anna L.

    1988-01-01

    A reliability/availability predictor computer program has been developed and is currently being beta-tested by over 30 US companies. The computer program is called the Hybrid Automated Reliability Predictor (HARP). HARP was developed to fill an important gap in reliability assessment capabilities. This gap was manifested through the use of its third-generation cousin, the Computer-Aided Reliability Estimation (CARE III) program, over a six-year development period and an additional three-year period during which CARE III has been in the public domain. The accumulated experience of the over 30 establishments now using CARE III was used in the development of the HARP program.

  15. Predictors of Students' Academic Performance

    ERIC Educational Resources Information Center

    Makar, Kathryn K.

    2013-01-01

    Research conclusions concerning predictors of academic success have been, at best, less than convincing. In fact, these conclusions are more conflicting or mixed when emotional constructs are used. As a result, modern curriculum developers as well as classroom instructors seem to deemphasize, if not ignore, the role of the affective domain in…

  16. Predictors of Smokeless Tobacco Abstinence

    ERIC Educational Resources Information Center

    Ebbert, Jon O.; Glover, Elbert D.; Shinozaki, Eri; Schroeder, Darrell R.; Dale, Lowell C.

    2008-01-01

    Objectives: To investigate predictors of tobacco abstinence among smokeless tobacco (ST) users. Methods: Logistic regression analyses assessed characteristics associated with tobacco abstinence among ST users receiving bupropion SR. Results: Older age was associated with increased tobacco abstinence in both placebo and bupropion SR groups at end…

  17. [PREDICTORS OF RESISTANT ARTERIAL HYPERTENSION].

    PubMed

    Lazutkina, A Y; Gorbunov, V V

    2016-01-01

    The paper reports results of 6 year prospective observation of 7959 members of locomotive crews engaged at the Transbaikal Railways. The study aimed to estimate the probability and time of development of resistant arterial hypertension under effect of predictors of this disease. The data obtained are of value for diagnostic, prophylactic, and therapeutic practice. PMID:27522725

  18. Measures for Predictors of Innovation Adoption

    PubMed Central

    Chor, Ka Ho Brian; Wisdom, Jennifer P.; Olin, Su-Chin Serene; Hoagwood, Kimberly E.; Horwitz, Sarah M.

    2014-01-01

    Building on a narrative synthesis of adoption theories by Wisdom et al. (2013), this review identifies 118 measures associated with the 27 adoption predictors in the synthesis. The distribution of measures is uneven across the predictors and predictors vary in modifiability. Multiple dimensions and definitions of predictors further complicate measurement efforts. For state policymakers and researchers, more effective and integrated measurement can advance the adoption of complex innovations such as evidence-based practices. PMID:24740175

  19. Predictors of Homelessness among Street Living Youth

    ERIC Educational Resources Information Center

    Slesnick, Natasha; Bartle-Haring, Suzanne; Dashora, Pushpanjali; Kang, Min Ju; Aukward, Erin

    2008-01-01

    While few studies have identified predictors of exiting homelessness among adults, even fewer studies have attempted to identify these predictors among homeless youth. The current study explored predictors of change in homelessness among 180 homeless youth between the ages of 14 and 22, recruited through an urban drop-in center. All youth were…

  20. Predictors of returning to work.

    PubMed

    Ash, P; Goldstein, S I

    1995-01-01

    An investigation of predictors of returning to work in a sample of physically injured persons who are receiving workers' compensation benefits and vocational rehabilitation is presented. One hundred fourteen injured subjects (86 with back injury; 28, other injury) undergoing vocational rehabilitation and receiving workers' compensation benefits were assessed on demographic, emotional, cognitive, financial incentive, and miscellaneous variables. Predictors for returning to work were identified using stepwise logistic regression. Patients with moderate or severe depression, defined as a score greater than 16 on the Beck Depression Inventory (BDI), were significantly less likely to return to work following vocational rehabilitation efforts than patients with less severe depression (for back-injured patients, odds ratio (OR) = 31, 95% CI [8.8, 108]). BDI scores correctly classified 84 percent of the back-injury and 86% of the other-injury groups with respect to their return to work. The level of workers' compensation benefit was the only variable that added (marginally) to the predictive power of the BDI. In a physically injured population receiving workers' compensation benefits, who are judged to be not clearly permanently disabled, level of depressive symptoms is a strong predictor of returning to work. Caution is warranted in using the BDI as the sole determinant in a forensic situation for making a real-world prediction, as BDI responses are easy to fake. Treatment of concurrent depression is an important component of helping physically injured workers resume gainful employment. PMID:8605404

  1. [PREDICTORS OF ATHEROSCLEROSIS: NEW DEVELOPMENTS].

    PubMed

    Gozhenko, A I; Kotyuzhinskaya, S G; Kovalevskaya, L A

    2014-12-01

    The article describes known atherosclerosis predictors of endothelial origin, which are diagnostic criteria for identifying's early stages of atherosclerosis, and can prevent the development of this disease and are used to monitor the effectiveness of the therapy The authors analyzed the possibility of using heparin as an early marker of atherosclerosis, based on the fact that the inhibition of lipoprotein lipase activity due hyperheparinemia resulting from depletion of mast cells due to endothelial dysfunction, leads to the disorders of lipid transporting system in the form of the resistant hyperlipidemia with the phenomena of dyslipidemia. PMID:26638463

  2. Electrocardiographic predictors of peripartum cardiomyopathy

    PubMed Central

    Karaye, Kamilu M; Karaye, Kamilu M; Lindmark, Krister; Henein, Michael Y; Lindmark, Krister; Henein, Michael Y

    2016-01-01

    Summary Objective To identify potential electrocardiographic predictors of peripartum cardiomyopathy (PPCM). Methods: This was a case–control study carried out in three hospitals in Kano, Nigeria. Logistic regression models and a risk score were developed to determine electrocardiographic predictors of PPCM. Results: A total of 54 PPCM and 77 controls were consecutively recruited after satisfying the inclusion criteria. After controlling for confounding variables, a rise in heart rate of one beat/minute increased the risk of PPCM by 6.4% (p = 0.001), while the presence of ST–T-wave changes increased the odds of PPCM 12.06-fold (p < 0.001). In the patients, QRS duration modestly correlated (r = 0.4; p < 0.003) with left ventricular dimensions and end-systolic volume index, and was responsible for 19.9% of the variability of the latter (R2 = 0.199; p = 0.003). A risk score of ≥ 2, developed by scoring 1 for each of the three ECG disturbances (tachycardia, ST–T-wave abnormalities and QRS duration), had a sensitivity of 85.2%, specificity of 64.9%, negative predictive value of 86.2% and area under the curve of 83.8% (p < 0.0001) for potentially predicting PPCM. Conclusion In postpartum women, using the risk score could help to streamline the diagnosis of PPCM with significant accuracy, prior to confirmatory investigations PMID:27213852

  3. Individual predictors of sensorimotor adaptability

    PubMed Central

    Seidler, Rachael D.; Mulavara, Ajitkumar P.; Bloomberg, Jacob J.; Peters, Brian T.

    2015-01-01

    There are large individual variations in strategies and rates of sensorimotor adaptation to spaceflight. This is seen in both the magnitude of performance disruptions when crewmembers are first exposed to microgravity, and in the rate of re-adaptation when they return to Earth’s gravitational environment. Understanding the sources of this variation can lead to a better understanding of the processes underlying adaptation, as well as provide insight into potential routes for facilitating performance of “slow adapters”. Here we review the literature on brain, behavioral, and genetic predictors of motor learning, recovery of motor function following neural insult, and sensorimotor adaptation. For example, recent studies have identified specific genetic polymorphisms that are associated with faster adaptation on manual joystick tasks and faster recovery of function following a stroke. Moreover, the extent of recruitment of specific brain regions during learning and adaptation has been shown to be predictive of the magnitude of subsequent learning. We close with suggestions for forward work aimed at identifying predictors of spaceflight adaptation success. Identification of “slow adapters” prior to spaceflight exposure would allow for more targeted preflight training and/or provision of booster training and adaptation adjuncts during spaceflight. PMID:26217197

  4. Predictors of spoken language learning

    PubMed Central

    Wong, Patrick C. M.; Ettlinger, Marc

    2011-01-01

    We report two sets of experiments showing that the large individual variability in language learning success in adults can be attributed to neurophysiological, neuroanatomical, cognitive, and perceptual factors. In the first set of experiments, native English-speaking adults learned to incorporate lexically meaningfully pitch patterns in words. We found those who were successful to have higher activation in bilateral auditory cortex, larger volume in Heschl’s Gyrus, and more accurate pitch pattern perception. All of these measures were performed before training began. In the second set of experiments, native English-speaking adults learned a phonological grammatical system governing the formation of words of an artificial language. Again, neurophysiological, neuroanatomical, and cognitive factors predicted to an extent how well these adults learned. Taken together, these experiments suggest that neural and behavioral factors can be used to predict spoken language learning. These predictors can inform the redesign of existing training paradigms to maximize learning for learners with different learning profiles. Learning outcomes: Readers will be able to: (a) understand the linguistic concepts of lexical tone and phonological grammar, (b) identify the brain regions associated with learning lexical tone and phonological grammar, and (c) identify the cognitive predictors for successful learning of a tone language and phonological rules. PMID:21601868

  5. Early predictors of adolescent violence.

    PubMed Central

    Ellickson, P L; McGuigan, K A

    2000-01-01

    OBJECTIVES: This study sought to identify early predictors of adolescent violence and to assess whether they vary by sex and across different types and levels of violence. METHODS: Data from a 5-year longitudinal self-report survey of more than 4300 high school seniors and dropouts from California and Oregon were used to regress measures of relational, predatory, and overall violence on predictors measured 5 years earlier. RESULTS: Deviant behavior in grade 7, poor grades, and weak bonds with middle school predicted violent behavior 5 years later. Attending a middle school with comparatively high levels of cigarette and marijuana use was also linked with subsequent violence. Early drug use and peer drug use predicted increased levels of predatory violence but not its simple occurrence. Girls with low self-esteem during early adolescence were more likely to hit others later on; boys who attended multiple elementary schools were also more likely to engage in relational violence. CONCLUSIONS: Violence prevention programs for younger adolescents should include efforts to prevent or reduce troublesome behavior in school and poor academic performance. Adolescent girls may also profit from efforts to raise self-esteem; adolescent boys may need extra training in resisting influences that encourage deviant behavior. Programs aimed at preventing drug use may yield an added violence-reduction bonus. PMID:10754971

  6. Predictors of Transience among Homeless Emerging Adults

    ERIC Educational Resources Information Center

    Ferguson, Kristin M.; Bender, Kimberly; Thompson, Sanna J.

    2014-01-01

    This study identified predictors of transience among homeless emerging adults in three cities. A total of 601 homeless emerging adults from Los Angeles, Austin, and Denver were recruited using purposive sampling. Ordinary least squares regression results revealed that significant predictors of greater transience include White ethnicity, high…

  7. 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…

  8. Predictors of Burnout Among Nurses in Taiwan.

    PubMed

    Lee, Huan-Fang; Yen, Miaofen; Fetzer, Susan; Chien, Tsair Wei

    2015-08-01

    Nurse burnout is a crucial issue for health care professionals and impacts nurse turnover and nursing shortages. Individual and situational factors are related to nurse burnout with predictors of burnout differing among cultures and health care systems. The predictors of nurse burnout in Asia, particularly Taiwan, are unknown. The purpose of this study was to investigate the predictors of burnout among a national sample of nurses in Taiwan. A secondary data analysis of a nationwide database investigated the predictors of burnout among 1,846 nurses in Taiwan. Hierarchical regression analysis determined the relationship between predictors and burnout. Predictors of Taiwanese nurse burnout were age, physical/psychological symptoms, job satisfaction, work engagement, and work environment. The most significant predictors were physical/psychological symptoms and work engagement. The variables explained 35, 39, and 18 % of the emotional exhaustion, personal accomplishment, and depersonalization variance for 54 % of the total variance of burnout. Individual characteristics and nurse self-awareness, especially work, engagement can impact Taiwanese nurses' burnout. Nurse burnout predictors provide administrators with information to develop strategies including education programs and support services to reduce nurse burnout. PMID:25536942

  9. Predictors of Burnout Among Nurses in Taiwan.

    PubMed

    Lee, Huan-Fang; Yen, Miaofen; Fetzer, Susan; Chien, Tsair Wei

    2015-08-01

    Nurse burnout is a crucial issue for health care professionals and impacts nurse turnover and nursing shortages. Individual and situational factors are related to nurse burnout with predictors of burnout differing among cultures and health care systems. The predictors of nurse burnout in Asia, particularly Taiwan, are unknown. The purpose of this study was to investigate the predictors of burnout among a national sample of nurses in Taiwan. A secondary data analysis of a nationwide database investigated the predictors of burnout among 1,846 nurses in Taiwan. Hierarchical regression analysis determined the relationship between predictors and burnout. Predictors of Taiwanese nurse burnout were age, physical/psychological symptoms, job satisfaction, work engagement, and work environment. The most significant predictors were physical/psychological symptoms and work engagement. The variables explained 35, 39, and 18 % of the emotional exhaustion, personal accomplishment, and depersonalization variance for 54 % of the total variance of burnout. Individual characteristics and nurse self-awareness, especially work, engagement can impact Taiwanese nurses' burnout. Nurse burnout predictors provide administrators with information to develop strategies including education programs and support services to reduce nurse burnout.

  10. Dosimetric Predictors of Laryngeal Edema

    SciTech Connect

    Sanguineti, Giuseppe . E-mail: gisangui@utmb.edu; Adapala, Prashanth; Endres, Eugene J. C; Brack, Collin; Fiorino, Claudio; Sormani, Maria Pia; Parker, Brent

    2007-07-01

    Purpose: To investigate dosimetric predictors of laryngeal edema after radiotherapy (RT). Methods and Materials: A total of 66 patients were selected who had squamous cell carcinoma of the head and neck with grossly uninvolved larynx at the time of RT, no prior major surgical operation except for neck dissection and tonsillectomy, treatment planning data available for analysis, and at least one fiberoptic examination of the larynx within 2 years from RT performed by a single observer. Both the biologically equivalent mean dose at 2 Gy per fraction and the cumulative biologic dose-volume histogram of the larynx were extracted for each patient. Laryngeal edema was prospectively scored after treatment. Time to endpoint, moderate or worse laryngeal edema (Radiation Therapy Oncology Group Grade 2+), was calculated with log rank test from the date of treatment end. Results: At a median follow-up of 17.1 months (range, 0.4- 50.0 months), the risk of Grade 2+ edema was 58.9% {+-} 7%. Mean dose to the larynx, V30, V40, V50, V60, and V70 were significantly correlated with Grade 2+ edema at univariate analysis. At multivariate analysis, mean laryngeal dose (continuum, hazard ratio, 1.11; 95% confidence interval, 1.06-1.15; p < 0.001), and positive neck stage at RT (N0-x vs. N +, hazard ratio, 3.66; 95% confidence interval, 1.40-9.58; p = 0.008) were the only independent predictors. Further stratification showed that, to minimize the risk of Grade 2+ edema, the mean dose to the larynx has to be kept {<=}43.5 Gy at 2 Gy per fraction. Conclusion: Laryngeal edema is strictly correlated with various dosimetric parameters; mean dose to the larynx should be kept {<=}43.5 Gy.

  11. Predictors of psychiatric disorders in combat veterans

    PubMed Central

    2013-01-01

    Background Most previous research that has examined mental health among Operation Enduring Freedom and Operation Iraqi Freedom (OEF/OIF) combatants has relied on self-report measures to assess mental health outcomes; few studies have examined predictors of actual mental health diagnoses. The objective of this longitudinal investigation was to identify predictors of psychiatric disorders among Marines who deployed to combat in Iraq and Afghanistan. Methods The study sample consisted of 1113 Marines who had deployed to Iraq or Afghanistan. Demographic and psychosocial predictor variables from a survey that all Marines in the sample had completed were studied in relation to subsequent psychiatric diagnoses. Univariate and multivariate logistic regression were used to determine the influence of the predictors on the occurrence of psychiatric disorders. Results In a sample of Marines with no previous psychiatric disorder diagnoses, 18% were diagnosed with a new-onset psychiatric disorder. Adjusting for other variables, the strongest predictors of overall psychiatric disorders were female gender, mild traumatic brain injury symptoms, and satisfaction with leadership. Service members who expressed greater satisfaction with leadership were about half as likely to develop a mental disorder as those who were not satisfied. Unique predictors of specific types of mental disorders were also identified. Conclusions Overall, the study’s most relevant result was that two potentially modifiable factors, low satisfaction with leadership and low organizational commitment, predicted mental disorder diagnoses in a military sample. Additional research should aim to clarify the nature and impact of these factors on combatant mental health. PMID:23651663

  12. Meta-Analyses of Predictors of Hope in Adolescents.

    PubMed

    Yarcheski, Adela; Mahon, Noreen E

    2016-03-01

    The purposes of this study were to identify predictors of hope in the literature reviewed, to use meta-analysis to determine the mean effect size (ES) across studies between each predictor and hope, and to examine four moderators on each predictor-hope relationship. Using preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines for the literature reviewed, 77 published studies or doctoral dissertations completed between 1990 and 2012 met the inclusion criteria. Eleven predictors of hope were identified and each predictor in relation to hope was subjected to meta-analysis. Five predictors (positive affect, life satisfaction, optimism, self-esteem, and social support) of hope had large mean ESs, 1 predictor (depression) had a medium ES, 4 predictors (negative affect, stress, academic achievement, and violence) had small ESs, and 1 predictor (gender) had a trivial ES. Findings are interpreted for the 11 predictors in relation to hope. Limitations and conclusions are addressed; future studies are recommended.

  13. Sonohysterographic Predictors of Successful Hysteroscopic Myomectomies

    PubMed Central

    Greene, Alexis D.; Morrissey, Mary Breda; Vega, Mario; Moshier, Erin

    2015-01-01

    Background and Objectives: The purpose of this study is to assess the rate of persistent submucosal myomas and intrauterine scarring after hysteroscopic myomectomy, as well as to evaluate the preoperative and intraoperative sonohysterographic findings that will predict persistence of myomas, scarring, and the need for repeat surgery. Methods: Charts from all hysteroscopic myomectomies performed by a single surgeon between 2003 and 2011 were reviewed for preoperative, intraoperative, and postoperative sonohysterographic findings. Predictors included myoma number, diameter and percent extension into the cavity of the largest fibroid, and percent surgically resected. These predictors were assessed with postoperative sonohysterography. Statistics included t test, logistic regression, χ2 test, and Fisher exact test. Results: Among the 79 cases with postoperative sonohysterograms, 17 (21.5%) had persistent submucosal myoma, and 9 (11.4%) had intrauterine scarring on postoperative sonohysterogram. Repeat hysteroscopic myomectomy was required in 11 (13.9%), but none required lysis of adhesions. The myoma number was not a significant predictor. A higher percentage of myoma within the cavity (63.35% vs 44.89%, P < .05) and smaller myoma size (2.22 cm vs 3.31 cm, P < .01) were significant predictors of a complete resection, a normal postoperative sonohysterogram, and avoidance of repeat surgery. On regression analysis, the percent of the myoma resected was the most significant outcome predictor (P < .001). Conclusion: Larger myomas with a lower percent found within the uterine cavity are less likely to be completely resected. Percent resection at the time of surgery is the most significant predictor of a normal postoperative sonohysterogram, as well as the best predictor of the need for repeat surgery. PMID:25848194

  14. Sufficient dimension reduction for longitudinally measured predictors.

    PubMed

    Pfeiffer, Ruth M; Forzani, Liliana; Bura, Efstathia

    2012-09-28

    We propose a method to combine several predictors (markers) that are measured repeatedly over time into a composite marker score without assuming a model and only requiring a mild condition on the predictor distribution. Assuming that the first and second moments of the predictors can be decomposed into a time and a marker component via a Kronecker product structure that accommodates the longitudinal nature of the predictors, we develop first-moment sufficient dimension reduction techniques to replace the original markers with linear transformations that contain sufficient information for the regression of the predictors on the outcome. These linear combinations can then be combined into a score that has better predictive performance than a score built under a general model that ignores the longitudinal structure of the data. Our methods can be applied to either continuous or categorical outcome measures. In simulations, we focus on binary outcomes and show that our method outperforms existing alternatives by using the AUC, the area under the receiver-operator characteristics (ROC) curve, as a summary measure of the discriminatory ability of a single continuous diagnostic marker for binary disease outcomes.

  15. Mechanical Predictors of Discomfort during Load Carriage.

    PubMed

    Wettenschwiler, Patrick D; Lorenzetti, Silvio; Stämpfli, Rolf; Rossi, René M; Ferguson, Stephen J; Annaheim, Simon

    2015-01-01

    Discomfort during load carriage is a major issue for activities using backpacks (e.g. infantry maneuvers, children carrying school supplies, or outdoor sports). It is currently unclear which mechanical parameters are responsible for subjectively perceived discomfort. The aim of this study was to identify objectively measured mechanical predictors of discomfort during load carriage. We compared twelve different configurations of a typical load carriage system, a commercially available backpack with a hip belt. The pressure distribution under the hip belt and the shoulder strap, as well as the tensile force in the strap and the relative motion of the backpack were measured. Multiple linear regression analyses were conducted to investigate possible predictors of discomfort. The results demonstrate that static peak pressure, or alternatively, static strap force is a significant (p<0.001) predictor of discomfort during load carriage in the shoulder and hip region, accounting for 85% or more of the variation in discomfort. As an additional finding, we discovered that the regression coefficients of these predictors are significantly smaller for the hip than for the shoulder region. As static peak pressure is measured directly on the body, it is less dependent on the type of load carriage system than static strap force. Therefore, static peak pressure is well suited as a generally applicable, objective mechanical parameter for the optimization of load carriage system design. Alternatively, when limited to load carriage systems of the type backpack with hip belt, static strap force is the most valuable predictor of discomfort. The regionally differing regression coefficients of both predictors imply that the hip region is significantly more tolerant than the shoulder region. In order to minimize discomfort, users should be encouraged to shift load from the shoulders to the hip region wherever possible, at the same time likely decreasing the risk of low back pain or injury

  16. Mechanical Predictors of Discomfort during Load Carriage

    PubMed Central

    Wettenschwiler, Patrick D.; Lorenzetti, Silvio; Stämpfli, Rolf; Rossi, René M.; Ferguson, Stephen J.; Annaheim, Simon

    2015-01-01

    Discomfort during load carriage is a major issue for activities using backpacks (e.g. infantry maneuvers, children carrying school supplies, or outdoor sports). It is currently unclear which mechanical parameters are responsible for subjectively perceived discomfort. The aim of this study was to identify objectively measured mechanical predictors of discomfort during load carriage. We compared twelve different configurations of a typical load carriage system, a commercially available backpack with a hip belt. The pressure distribution under the hip belt and the shoulder strap, as well as the tensile force in the strap and the relative motion of the backpack were measured. Multiple linear regression analyses were conducted to investigate possible predictors of discomfort. The results demonstrate that static peak pressure, or alternatively, static strap force is a significant (p<0.001) predictor of discomfort during load carriage in the shoulder and hip region, accounting for 85% or more of the variation in discomfort. As an additional finding, we discovered that the regression coefficients of these predictors are significantly smaller for the hip than for the shoulder region. As static peak pressure is measured directly on the body, it is less dependent on the type of load carriage system than static strap force. Therefore, static peak pressure is well suited as a generally applicable, objective mechanical parameter for the optimization of load carriage system design. Alternatively, when limited to load carriage systems of the type backpack with hip belt, static strap force is the most valuable predictor of discomfort. The regionally differing regression coefficients of both predictors imply that the hip region is significantly more tolerant than the shoulder region. In order to minimize discomfort, users should be encouraged to shift load from the shoulders to the hip region wherever possible, at the same time likely decreasing the risk of low back pain or injury

  17. Predictors of outcome in myxoedema coma

    PubMed Central

    Beynon, Jennifer; Akhtar, Simeen; Kearney, Tara

    2008-01-01

    Myxoedema coma is a rare and life-threatening illness the outcome of which has not been robustly studied in large numbers, partly due to its low incidence. Dutta and colleagues have explored outcome predictors in a developing country where access to thyroid function tests is more limited than in the Western world. Cardiovascular instability, reduced consciousness, persistent hypothermia, and sepsis all contributed to a poorer outcome, as has been demonstrated before, but a generic outcome predictor model was shown to be useful in this group of patients. Unfortunately, this observational study was unable to show differences in outcome based on replacement treatment methods and the mortality remains at 40%. PMID:18254932

  18. Predictor-Based Model Reference Adaptive Control

    NASA Technical Reports Server (NTRS)

    Lavretsky, Eugene; Gadient, Ross; Gregory, Irene M.

    2009-01-01

    This paper is devoted to robust, Predictor-based Model Reference Adaptive Control (PMRAC) design. The proposed adaptive system is compared with the now-classical Model Reference Adaptive Control (MRAC) architecture. Simulation examples are presented. Numerical evidence indicates that the proposed PMRAC tracking architecture has better than MRAC transient characteristics. In this paper, we presented a state-predictor based direct adaptive tracking design methodology for multi-input dynamical systems, with partially known dynamics. Efficiency of the design was demonstrated using short period dynamics of an aircraft. Formal proof of the reported PMRAC benefits constitute future research and will be reported elsewhere.

  19. [Predictors of healthcare resource use in fibromyalgia].

    PubMed

    Pastor Mira, Ma Ángeles; Lledó Boyer, Ana; López-Roig, Sofía; Pons Calatayud, Nieves; Martín-Aragón Gelabert, Maite

    2010-11-01

    This work identifies which psychosocial, clinical and perceived health status factors predict health-resource use in Fibromyalgia (FM), considering the patients' assistance level. Participants were 315 FM patients from Primary Care (PC: n=101) and Rheumatology Services (RS: n=214). Stepwise regression analysis showed that self-efficacy variables were significant predictors of medication intake in PC, and, along with Illness-focused coping, of the health service use. In RS, perceived health status was the best predictor of medication intake. In any case, Pain intensity significantly predicted the use of health resources. These data offer a new perspective for intervention in these patients, taking into account the level of assistance.

  20. Predictors of Depression in Street Youth.

    ERIC Educational Resources Information Center

    Smart, Reginald G.; Walsh, Gordon W.

    1993-01-01

    Interviewed 145 adolescent street youth in Toronto, Canada, to examine association of depression with alcohol and drug use and related problems, social supports, self-esteem, family background, and alcohol and drug use among family members. Results indicated that best predictors of depression among street youth were self-esteem and length of time…

  1. Predictors of Arab American Adolescent Tobacco Use

    ERIC Educational Resources Information Center

    Rice, Virginia Hill; Weglicki, Linda S.; Templin, Thomas; Hammad, Adnan; Jamil, Hikmet; Kulwicki, Anahid

    2006-01-01

    This study examined personal, psychosocial, sociocultural, and environmental predictors in tobacco use for 1,671 Arab American adolescents. Cigarette smoking in the past 30 days was 6.9%. This increased from 1% at age 14 to 14% at age 18. Twenty-nine percent of the youths reported having ever smoked cigarettes. Experimentation with narghile was…

  2. Predictors of Academic Success for Optometry Students

    ERIC Educational Resources Information Center

    Buckingham, Robert S.

    2012-01-01

    Optometry school admissions are very competitive. With more applicants than available slots, admission committees must choose those students whom they feel will be successful graduates. Previous studies in the health profession schools have demonstrated that the predictors of academic achievement are preadmission science grade point average (GPA),…

  3. Student Success Factors: Identifying Key Predictors

    ERIC Educational Resources Information Center

    Sulaiman, Ainin; Mohezar, Suhana

    2006-01-01

    The authors' main aim in this study was to identify key predictors of Master of Business Administration (MBA) students' academic performance. The authors measured performance by the students' cumulative grade point average achieved, using data from the Students Information Systems and Application database. The authors found that a student's…

  4. IQ and Neuropsychological Predictors of Academic Achievement

    ERIC Educational Resources Information Center

    Mayes, Susan Dickerson; Calhoun, Susan L.; Bixler, Edward O.; Zimmerman, Dennis N.

    2009-01-01

    Word reading and math computation scores were predicted from Wechsler Abbreviated Scale of Intelligence Full Scale IQ, 10 neuropsychological tests, and parent attention deficit hyperactivity disorder (ADHD) ratings in 214 general population elementary school children. IQ was the best single predictor of achievement. In addition, Digit Span…

  5. Predictors of Learning from Public Service Announcements.

    ERIC Educational Resources Information Center

    Sun, Hsiu-hui

    A study focused on predictors of people's learning from public service announcements (PSAs) seen on television. Telephone interviews were conducted with 480 adults randomly selected from residents in Dane County, Wisconsin, in October 1987. Typical demographic information was obtained: sex, age, income, occupation and education. Commercial slogans…

  6. Quantal Response Techniques for Random Predictor Variables

    ERIC Educational Resources Information Center

    McSweeney, Maryellen; Schmidt, William H.

    1977-01-01

    The relationship between quantitative predictor variables and the probability of occurrence of one or more levels of a qualitative criterion variable can be analyzed by quantal response techniques. This paper presents and discusses two quantal response models, comparing them to multiple linear regression and discriminant analysis. (Author/JKS)

  7. 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…

  8. AIDS: Predictors of Safer Sex Practices.

    ERIC Educational Resources Information Center

    Jacobs, John R.; And Others

    This study was conducted to assess the predictors of safe sex practices among a group of college students. Subjects were 261 students attending the evening division of a large urban university campus, 68% of whom were female and 94% of whom reported being heterosexual. The average age of respondents was 26 years. Subjects responded to questions…

  9. Predictors of Success for Allied Health Students.

    ERIC Educational Resources Information Center

    Jensen, Steven C.

    1989-01-01

    A study of 424 allied health students (259 dental hygiene, 104 radiologic technology, and 61 respiratory therapy) found that the greater predictors of their academic success were the natural science subscore on the American College Test (ACT), high school grade point average, and class rank, age, and composite ACT score. (SK)

  10. Predictors of Success in an Anesthesiology Residency.

    ERIC Educational Resources Information Center

    Warrick, Shirley S.; Crumrine, Robert S.

    1986-01-01

    Factors that contributed to successful residency performance by anesthesiology residents were examined in order to assist the program's selection committee in developing selection criteria. The best predictor of a resident's academic average in the anethesiology program was the number of years the resident had spent in other specialities.…

  11. Early Predictors of High School Mathematics Achievement

    ERIC Educational Resources Information Center

    Siegler, Robert S.; Duncan, Greg J.; Davis-Kean, Pamela E.; Duckworth, Kathryn; Claessens, Amy; Engel, Mimi; Susperreguy, Maria Ines; Meichu, Chen

    2012-01-01

    Identifying the types of mathematics content knowledge that are most predictive of students' long-term learning is essential for improving both theories of mathematical development and mathematics education. To identify these types of knowledge, we examined long-term predictors of high school students' knowledge of algebra and overall mathematics…

  12. Economic and Demographic Predictors of Inclusive Education

    ERIC Educational Resources Information Center

    Cosier, Meghan E.; Causton-Theoharis, Julie

    2011-01-01

    This study investigated economic and demographic predictors of levels of inclusion of students with disabilities in 129 school districts. Multiple regression analysis was utilized to address the following research questions: (a) Is there a relationship between economic factors and percentage of highly included students with disabilities in general…

  13. Violent Behavior in Female Inmates: Possible Predictors

    ERIC Educational Resources Information Center

    Byrd, Patricia M.; Davis, Joanne L.

    2009-01-01

    Research findings have been equivocal regarding the relationship between experiencing trauma and exhibiting violent behavior in women. This study seeks to determine predictors of violent behavior in female inmates utilizing various conceptualizations of traumatic experiences. Results indicate a significant univariate relationship between…

  14. Psychological Predictors of Human Hardiness Formation

    ERIC Educational Resources Information Center

    Zeer, Evald F.; Yugova, Elena A.; Karpova, Natalia P.; Trubetskaya, Olga V.

    2016-01-01

    The relevance of the researched problem is conditioned by the growing social and psychological tension in the ever-changing post-industrial society and psychoemotional disorders affecting the human lifespan, developing on this background. The goal of the article is to disclose and analyse psychological predictors of hardiness formation,…

  15. Predictors of Undergraduate Student Binge Drinking

    ERIC Educational Resources Information Center

    Strano, Donald A.; Cuomo, Michael J.; Venable, Riley H.

    2004-01-01

    The relative importance of a number of predictors of binge drinking and of high- versus low-frequency binge drinking among undergraduate students was studied. Findings demonstrated that race, class, fraternity or sorority membership, use of other drugs in the past 30 days, positive alcohol expectancies, perception of minimal risk, perception that…

  16. Longitudinal Predictors of High School Completion

    ERIC Educational Resources Information Center

    Barry, Melissa; Reschly, Amy L.

    2012-01-01

    This longitudinal study examined predictors of dropout assessed in elementary school. Student demographic data, achievement, attendance, and ratings of behavior from the Behavior Assessment System for Children were used to predict dropout and completion. Two models, which varied on student sex and race, predicted dropout at rates ranging from 75%…

  17. Predictors of Homophobia in Female College Students.

    ERIC Educational Resources Information Center

    Basow, Susan A.; Johnson, Kelly

    2000-01-01

    Investigated how self-esteem, self-discrepancy, and gender-attribute importance related to homophobia in predominantly white college women, noting sex role attitudes, authoritarian attitudes, and extent of contact with homosexuals. The only significant predictor of homophobia was authoritarian attitudes. Other correlations included belief in sex…

  18. User Adaptive Text Predictor for Mentally Disabled Huntington's Patients.

    PubMed

    Gelšvartas, Julius; Simutis, Rimvydas; Maskeliūnas, Rytis

    2016-01-01

    This paper describes in detail the design of the specialized text predictor for patients with Huntington's disease. The main aim of the specialized text predictor is to improve the text input rate by limiting the phrases that the user can type in. We show that such specialized predictor can significantly improve text input rate compared to a standard general purpose text predictor. Specialized text predictor, however, makes it more difficult for the user to express his own ideas. We further improved the text predictor by using the sematic database to extract synonym, hypernym, and hyponym terms for the words that are not present in the training data of the specialized text predictor. This data can then be used to compute reasonable predictions for words that are originally not known to the text predictor.

  19. Family-Based Predictors of Adolescent Substance Use.

    ERIC Educational Resources Information Center

    Vakalahi, Halaevalu F.

    2002-01-01

    Examines family-based variables as predictors of adolescent substance use. Overall, this study supported prior research, indicating certain family variables as predictors of adolescent substance use. Sibling marijuana use, family involvement, and religious affiliation were predictors of adolescent tobacco use. Family involvement, sibling tobacco…

  20. Age Differences in Demographic Predictors of Retirement Investment Decisions

    ERIC Educational Resources Information Center

    Davis, Guyla D.; Chen, Yiwei

    2008-01-01

    Increased longevity coupled with inadequate savings makes retirement savings and investment research increasingly important. A policy-capturing method was used to examine the relative importance of 6 demographic predictors on the retirement investment decisions of 64 working adults. All predictors were significant predictors of the investment. In…

  1. Attitudinal and Normative Variables as Predictors of Cheating Behavior.

    ERIC Educational Resources Information Center

    Enker, Myrna S.

    1987-01-01

    Predictors of cheating behavior in American and Israeli society were studied. Predictors in American society were attitudes, normative beliefs, or both together; friends and classmates were stronger influences than families. In Israeli society, normative beliefs were the significant predictors, and family norms influenced cheating behavior. (VM)

  2. Praiseworthiness: predictors of positive interpersonal judgments.

    PubMed

    Ogletree, Shirley M; Covington, Jennifer A; Archer, Richard L

    2013-06-01

    Deterministic attitudes, information about a person's background, one's perceived similarity to a target person, and attributions of effort and ability may affect praiseworthiness. Two vignette studies with college student participants were conducted to consider this issue. Based on regression analyses, attributing achievement to effort was the strongest predictor of praiseworthiness across both studies. In addition, evidence for an augmenting effect of an impoverished background on praiseworthiness was found. In the first study, perceived similarity to the target individual and religious-philosophical determinism were also predictors of praiseworthiness, while belief in free will predicted praiseworthiness in the second study. Judgments of praiseworthiness may be tied to a number of factors; among the most important of these are overcoming an impoverished childhood background and the attributed effort required for success.

  3. Developmental predictors of fraction concepts and procedures.

    PubMed

    Jordan, Nancy C; Hansen, Nicole; Fuchs, Lynn S; Siegler, Robert S; Gersten, Russell; Micklos, Deborah

    2013-09-01

    Developmental predictors of children's fraction concepts and procedures at the end of fourth grade were investigated in a 2-year longitudinal study. Participants were 357 children who started the study in third grade. Attentive behavior, language, nonverbal reasoning, number line estimation, calculation fluency, and reading fluency each contributed uniquely to later conceptual understanding of fractions. Number line estimation, attentive behavior, calculation fluency, and working memory made unique contributions to acquisition of fraction arithmetic procedures. Notably, number line estimation made the largest independent contribution in both models. The results suggest that although there is considerable shared variance among the predictors, both general and number-related competencies are uniquely important for explaining why some children struggle with fractions. PMID:23506808

  4. Identifying predictors of survey mode preference.

    PubMed

    Smyth, Jolene D; Olson, Kristen; Millar, Morgan M

    2014-11-01

    To increase the likelihood of response, many survey organizations attempt to provide sample members with a mode they are thought to prefer. Mode assignment is typically based on conventional wisdom or results from mode choice studies that presented only limited options. In this paper we draw heavily on research and theory from the mode effects and the survey participation literatures to develop a framework for understanding what characteristics should predict mode preferences. We then test these characteristics using data from two different surveys. We find that measures of familiarity with and access to a mode are the strongest predictors of mode preference and measures of safety concerns, physical abilities, and normative concerns are unexpectedly weak predictors. Our findings suggest that variables that may exist on sample frames can be used to inform the assignment of "preferred" modes to sample members.

  5. An Analytical Satellite Orbit Predictor (ASOP)

    NASA Technical Reports Server (NTRS)

    1979-01-01

    The documentation and user's guide are presented for the analytical satellite orbit predictor computer program which is intended to be used for computation of near-earth orbits including those of the shuttle orbiter and its payloads. The Poincare-Similar elements used make it possible to compute near-earth orbits to within an accuracy of a few meters. Recursive equations are used instead of complicated formulas. Execution time is on the order of a few milliseconds.

  6. Crowdsourcing novel childhood predictors of adult obesity.

    PubMed

    Bevelander, Kirsten E; Kaipainen, Kirsikka; Swain, Robert; Dohle, Simone; Bongard, Josh C; Hines, Paul D H; Wansink, Brian

    2014-01-01

    Effective and simple screening tools are needed to detect behaviors that are established early in life and have a significant influence on weight gain later in life. Crowdsourcing could be a novel and potentially useful tool to assess childhood predictors of adult obesity. This exploratory study examined whether crowdsourcing could generate well-documented predictors in obesity research and, moreover, whether new directions for future research could be uncovered. Participants were recruited through social media to a question-generation website, on which they answered questions and were able to pose new questions that they thought could predict obesity. During the two weeks of data collection, 532 participants (62% female; age  =  26.5±6.7; BMI  =  29.0±7.0) registered on the website and suggested a total of 56 unique questions. Nineteen of these questions correlated with body mass index (BMI) and covered several themes identified by prior research, such as parenting styles and healthy lifestyle. More importantly, participants were able to identify potential determinants that were related to a lower BMI, but have not been the subject of extensive research, such as parents packing their children's lunch to school or talking to them about nutrition. The findings indicate that crowdsourcing can reproduce already existing hypotheses and also generate ideas that are less well documented. The crowdsourced predictors discovered in this study emphasize the importance of family interventions to fight obesity. The questions generated by participants also suggest new ways to express known predictors. PMID:24505310

  7. Crowdsourcing Novel Childhood Predictors of Adult Obesity

    PubMed Central

    Swain, Robert; Dohle, Simone; Bongard, Josh C.; Hines, Paul D. H.; Wansink, Brian

    2014-01-01

    Effective and simple screening tools are needed to detect behaviors that are established early in life and have a significant influence on weight gain later in life. Crowdsourcing could be a novel and potentially useful tool to assess childhood predictors of adult obesity. This exploratory study examined whether crowdsourcing could generate well-documented predictors in obesity research and, moreover, whether new directions for future research could be uncovered. Participants were recruited through social media to a question-generation website, on which they answered questions and were able to pose new questions that they thought could predict obesity. During the two weeks of data collection, 532 participants (62% female; age  =  26.5±6.7; BMI  =  29.0±7.0) registered on the website and suggested a total of 56 unique questions. Nineteen of these questions correlated with body mass index (BMI) and covered several themes identified by prior research, such as parenting styles and healthy lifestyle. More importantly, participants were able to identify potential determinants that were related to a lower BMI, but have not been the subject of extensive research, such as parents packing their children’s lunch to school or talking to them about nutrition. The findings indicate that crowdsourcing can reproduce already existing hypotheses and also generate ideas that are less well documented. The crowdsourced predictors discovered in this study emphasize the importance of family interventions to fight obesity. The questions generated by participants also suggest new ways to express known predictors. PMID:24505310

  8. Predictors of Microvascular Invasion in Hepatocellular Carcinoma.

    PubMed

    Yamashita, Yo-Ichi; Shirabe, Ken; Aishima, Shinichi; Maehara, Yoshihiko

    2015-09-01

    This chapter covers a range of important topics in the evaluation of the microvascular invasion (MVI) in hepatocellular carcinoma (HCC) before treatment. The malignant potential of HCC is reflected by the types of MVI such as portal venous (vp), hepatic vein (vv) or bile duct (b) infiltration. The identification of the type of MVI in HCC has a key role in decisions regarding the effective treatment of HCC. Here, we describe the possible and important predictors of MVI in HCC. PMID:26398341

  9. Predictors of Nutrition Information Comprehension in Adulthood

    PubMed Central

    Miller, Lisa M. Soederberg; Gibson, Tanja N.; Applegate, Elizabeth A.

    2009-01-01

    Objective The goal of the present study was to examine relationships among several predictors of nutrition comprehension. We were particularly interested in exploring whether nutrition knowledge or motivation moderated the effects of attention on comprehension across a wide age range of adults. Methods Ninety-three participants, ages 18 to 80, completed measures of nutrition knowledge and motivation and then read nutrition information (from which attention allocation was derived) and answered comprehension questions. Results In general, predictor variables were highly intercorrelated. However, knowledge, but not motivation, had direct effects on comprehension accuracy. In contrast, motivation influenced attention, which in turn influenced accuracy. Results also showed that comprehension accuracy decreased- and knowledge increased -with age. When knowledge was statistically controlled, age declines in comprehension increased. Conclusion Knowledge is an important predictor of nutrition information comprehension and its role increases in later life. Motivation is also important; however, its effects on comprehension differ from knowledge. Practice Implications Health educators and clinicians should consider cognitive skills such as knowledge as well as motivation and age of patients when deciding how to best convey health information. The increased role of knowledge among older adults suggests that lifelong educational efforts may have important payoffs in later life. PMID:19854605

  10. Predictors of employment after liver transplantation.

    PubMed

    Sahota, Amandeep; Zaghla, Hassan; Adkins, Rodney; Ramji, Alnoor; Lewis, Susan; Moser, Jennifer; Sher, Linda S; Fong, Tse-Ling

    2006-01-01

    Employment after orthotopic liver transplantation (OLT) indicates recipients' physical/psychosocial adjustment. Our aim was to determine clinical, socioeconomic and health-related quality of life parameters influencing employment after OLT. Questionnaire on demographics, medical conditions, alcohol and drug use before/after OLT, and a validated 12-Item Short Form Health Survey (SF-12) were mailed to 126 adult OLT patients. Stepwise logistic regression was conducted to identify best predictors of post-OLT employment. Among non-retirees, 49% were employed after OLT. The predictors of employment were: employment status, income, disability status before OLT and Model of End Stage Liver Disease score. These variables had prediction rate of 82%. Individuals working during the five yr prior to OLT were likely to return to work (p<0.0001), particularly those who held a job for >6 months prior to OLT (p<0.0001), income>$80 000 before OLT compared with <$30 000 (p=0.036). Patients receiving Social Security Insurance (SSI) payment for >or=6 months prior to OLT, were less likely to work (p=0.0005). Severity/duration of liver dysfunction prior to OLT did not correlate with employment. Sense of physical health was poorer in those employed after OLT than in unemployed (p=0.0003). Socioeconomic factors were the most important predictors of post-OLT employment. PMID:16842527

  11. Predictors of treatment preference for mandibular fracture

    PubMed Central

    Der-Martirosian, Claudia; Gironda, Melanie W.; Black, Edward E.; Belin, Thomas R.; Atchison, Kathryn A.

    2016-01-01

    Background Patient treatment preferences do not necessarily remain stable over time. Objective This study focuses on predictors of patient treatment choice and on the extent to which patients are willing to take risks by choosing surgical versus non-surgical treatment for mandibular fracture. Methods Surveys of African-American and Hispanic adults receiving treatment at King/Drew Medical Center for either a mandibular fracture (n = 98) or third-molar removal (n = 105) were used to investigate patterns of patient preference over the course of a 4-month study period using generalized estimating equations controlling for age, gender, income, and fracture versus third-molar patient. The study examined the effects of symptom rating and a “standard gamble” measure reflecting a patient’s willingness to accept scarring or nerve damage. This analysis is based on 169 patients who participated in four waves of data collection. Results The most salient predictor of patient treatment was the standard gamble measure at 1-month follow-up. Subjects with higher risk tolerance were more likely to select surgery versus jaw wiring. A higher likelihood of choosing surgery was associated with higher income and greater symptom severity. Fracture patients were more likely to select surgery compared with third-molar patients. Conclusions The significance of symptom severity 1-month post-surgery raises an important issue regarding the healing process. Moreover, the significance of standard gamble as a predictor of treatment choice for mandibular fracture should encourage other researchers to use this measure of willingness to accept risk when studying acute conditions such as jaw fracture. PMID:19694938

  12. A new predictor of cephalopelvic disproportion?

    PubMed

    Connolly, Geraldine; Naidoo, C; Conroy, R M; Byrne, P; McKenna, P

    2003-01-01

    Cephalopelvic disproportion (CPD) is a recognised obstetric problem with potential risk to both mother and infant. Identification of those mothers at risk of CPD is difficult and has concentrated in the past on such measurements as maternal shoe size and height. Our objective in this study was to examine new anthropomorphic parameters as indicators of CPD. This was a case controlled study of sixty consecutive women, and their partners, who had caesarean section performed for CPD and 60 case matched controls. Measurements included maternal and paternal head circumference, height, shoe-size, body mass index (BMI), infant weight and head circumference. Parity, gestation at delivery, and mode of onset of labour were recorded. Data were analysed using Stata Release 6. Prognostic factors were tested for association with CPD using conditional logic regression. The most important anthropomorphic risk factors for CPD were maternal head circumference in relation of height (P < 0.001), and paternal head to height ratio (P = 0.017). Head to height ratio is taken as the head circumference in centimeters divided by the height in metres. Body mass index was higher in CPD cases (maternal case mean = 27.1, control mean = 25.5; paternal case mean = 27.2, control mean = 26.2). Infant head circumference was not a predictor. Primiparity was an important independent predictor (P<0.001), regardless of the mode of onset of labour. Maternal or paternal shoe-size, induction of labour and gestation at delivery were not predictors. The risk profile for CPD which emerges is one of a tall father where both mother and father have large head-to-height ratios. PMID:12623477

  13. Predictors of Readmission after Inpatient Plastic Surgery

    PubMed Central

    Jain, Umang; Salgado, Christopher; Mioton, Lauren; Rambachan, Aksharananda

    2014-01-01

    Background Understanding risk factors that increase readmission rates may help enhance patient education and set system-wide expectations. We aimed to provide benchmark data on causes and predictors of readmission following inpatient plastic surgery. Methods The 2011 National Surgical Quality Improvement Program dataset was reviewed for patients with both "Plastics" as their recorded surgical specialty and inpatient status. Readmission was tracked through the "Unplanned Readmission" variable. Patient characteristics and outcomes were compared using chi-squared analysis and Student's t-tests for categorical and continuous variables, respectively. Multivariate regression analysis was used for identifying predictors of readmission. Results A total of 3,671 inpatient plastic surgery patients were included. The unplanned readmission rate was 7.11%. Multivariate regression analysis revealed a history of chronic obstructive pulmonary disease (COPD) (odds ratio [OR], 2.01; confidence interval [CI], 1.12-3.60; P=0.020), previous percutaneous coronary intervention (PCI) (OR, 2.69; CI, 1.21-5.97; P=0.015), hypertension requiring medication (OR, 1.65; CI, 1.22-2.24; P<0.001), bleeding disorders (OR, 1.70; CI, 1.01-2.87; P=0.046), American Society of Anesthesiologists (ASA) class 3 or 4 (OR, 1.57; CI, 1.15-2.15; P=0.004), and obesity (body mass index ≥30) (OR, 1.43; CI, 1.09-1.88, P=0.011) to be significant predictors of readmission. Conclusions Inpatient plastic surgery has an associated 7.11% unplanned readmission rate. History of COPD, previous PCI, hypertension, ASA class 3 or 4, bleeding disorders, and obesity all proved to be significant risk factors for readmission. These findings will help to benchmark inpatient readmission rates and manage patient and hospital system expectations. PMID:24665418

  14. Cognitive predictors of articulation in writing.

    PubMed

    Wormack, L

    1979-06-01

    Among 106 college students scores on a spontaneous 20-min. essay were regressed on referents of verbal and visual spatial ability. 26% of the variability in writing articulation among males was accounted for by the regression of graded writing scores against logical relations and embedded figures tests. 82% of the variability in writing ability among (females was accounted for by the regression of graded writing scores on visual closure, reading comprehension, spatial visualization, and embedded figures tests. The use of verbal and visual sptial referents as predictors of the degree of articulation in spontaneous writing samples consistent with sex-specific models of.cerebral lateralization was described.

  15. Predictors of Mortality in Paediatric Myocarditis

    PubMed Central

    Ansari, Mohammed Junaid; Mittal, Mahima; Kushwaha, K.P.

    2016-01-01

    Introduction Paediatric myocarditis can present as mild flu like symptoms to fulminent form. Early identification of the severity of illness and prioritization of intensive care is helpful especially in developing countries with limited resources. Aim To know the factors at admission that can predict mortality in paediatric myocarditis. Materials and Methods This was an observational study which enrolled children who presented with fever of acute onset (less than 15 days in duration), and were diagnosed as suspected myocarditis on the basis of clinical features, Troponin I and echocardiography, according to Expanded criteria for myocarditis in Paediatric ward at our institute over a period from August 2014 to December 2015. Their clinical features, cardiac biomarkers and echocardiography findings were compared between survivors and non-survivors. Statistical Analysis All statistical analysis was done using graphpad Prism 5 and SPSS statistical software. A Fisher exact p-value <0.05 was regarded as significant. Multivariate Logistic Regression was carried out to quantify the relationship between cardiac death and other predictor variables. The logistic coefficients for the predictor variables and their exponents, that is, log odds were calculated. Statistical significance of these predictor variables was interpreted by p-values. Results A 17.7% (n=11/62) patients of paediatric myocarditis died in this study. New York Heart Association (NYHA) class IV dyspnea (p=0.0115) and hypotension (p=0.0174) were more in patients who did not survive. The mean value of Troponin I was more in the non-survivor group (0.958 ± 1.13ng/ml); (p=0.0074). More number of patients who died had Brain Natriuretic Peptide (BNP) levels increased in their plasma (p=0.0087) with higher mean value (p=0.0175). LV ejection fraction was decreased markedly in non survivor group with mean value of 37±8.09 % as compared to survivor group with mean value of 46.6±10.5%, (p=0.0115). On multivariate

  16. Predictors of dominance in male Betta splendens.

    PubMed

    Bronstein, P M

    1985-03-01

    The formation of dominance/subordinancy relations in pairs of male Siamese fighting fish was examined in six experiments. Dominant animals typically were those fish that built the largest nests and that attacked an image of a live, displaying male most intensely prior to combat. However, pretest performance on an operant task and reaction to an animal's own mirror image were not useful predictors of subsequent dominance. These findings are consistent with the suggestion that domesticated Bettas have a territorial social strategy that includes both nest-building and fighting behaviors.

  17. Predictors of Functional Outcome Following Stroke.

    PubMed

    Harvey, Richard L

    2015-11-01

    Predicting functional outcome in stroke is challenging to most clinicians, partly because of the complexity of the condition and also because of the lack of validated prognostic models. The strongest predictors of functional outcome are age and motor function at stroke onset. There is a growing literature on predicting recovery of upper limb after stroke; however, literature on prediction of language recovery remains sparse. This review covers the current status of predicting functional outcome after stroke focusing on recovery of activities of daily living, ambulation, upper limb use, and aphasia. Use of clinical factors, imaging, and neurophysiological measures are discussed.

  18. Predictors of Symptoms Are Different From Predictors of Severe Exacerbations From Asthma in Children

    PubMed Central

    Tantisira, Kelan; Li, Lingling; Schuemann, Brooke; Weiss, Scott T.; Fuhlbrigge, Anne L.

    2011-01-01

    Background: Asthma therapy is typically prescribed and titrated based on patient or parent self-report of symptoms. No longitudinal studies have assessed the relationship between symptoms and severe asthma exacerbations in children. The goal of our study was (1) to assess the association of asthma symptoms with severe asthma exacerbations and (2) to compare predictors of persistent asthma symptoms and predictors of severe asthma exacerbations. Methods: The Childhood Asthma Management Program was a multicenter clinical trial of 1,041 children randomized to receive budesonide, nedocromil, or placebo (as-needed β-agonist). We conducted a post hoc analysis of diary cards that were completed by subjects on a daily basis to categorize subjects as having persistent vs intermittent symptoms. We defined a severe asthma exacerbation as an episode requiring ≥ 3 days use of oral corticosteroids, hospitalization, or ED visit due to asthma based on self-report at study visits every 4 months. Results: While accounting for longitudinal measures, having persistent symptoms from asthma was significantly associated with having severe asthma exacerbations. Predictors of having persistent symptoms compared with intermittent symptoms included not being treated with inhaled corticosteroids, lower FEV1/FVC ratio, and a lower natural logarithm of provocative concentration of methacholine producing a 20% decline in FEV1 (lnPC20). Predictors of having one or more severe asthma exacerbations included younger age, history of hospitalization or ED visit in the prior year, ≥ 3 days use of oral corticosteroids in the prior 3 months, lower FEV1/FVC ratio, lower lnPC20, and higher logarithm to the base 10 eosinophil count; treatment with inhaled corticosteroids was predictive of having no severe asthma exacerbations. Conclusions: Patients with persistent symptoms from asthma were more likely to experience severe asthma exacerbations. Nevertheless, demographic and laboratory predictors of

  19. Predictors of Genital Pain in Young Women

    PubMed Central

    Farmer, Melissa A.; Meston, Cindy M.

    2010-01-01

    Despite the high prevalence of genital pain in healthy young adult women, limited research has addressed genital pain during intercourse using contemporary models of multidimensional sexual function. The objectives of this study were threefold: (1) to identify differences in sexual functioning in women who experience genital pain compared to pain free women; (2) to identify predictors of sexual functioning in women with and without genital pain; and (3) to identify predictors of sexual satisfaction in women with and without genital pain. Sexually active female undergraduates (n = 651) were administered the Female Sexual Function Index and the Derogatis Sexual Functioning Inventory. We evaluated the sexual factors that impact the sexual function of women with any pain (including high and low pain groups) versus women with no history of pain. Women with genital pain reported greater rates of sexual dysfunction as compared to pain-free women; however, sexual functioning in the high versus low pain groups was distinguished primarily by vaginal lubrication. Women in the high pain group showed negative correlations between domains of sexual satisfaction and genital pain frequency and intensity that were not found in the low pain group. For pain-free women, intercourse played a strong role in sexual satisfaction, whereas non-intercourse sexual behavior was central to sexual satisfaction in women who reported pain. The evaluation of levels of genital pain may provide insight into the mechanisms underlying the impairment of sexual function, sexual behavior, and sexual satisfaction. PMID:17674182

  20. Predictors for readmission risk in schizophrenia.

    PubMed

    Mortensen, P B; Eaton, W W

    1994-02-01

    Readmission risk was assessed at the first and subsequent discharges in a total Danish national sample consisting of 8705 first admitted patients who had been discharged alive at least once with a diagnosis of schizophrenia. Predictors for readmission risk were identified using the Cox proportional hazards model. Following the first discharge, 19% of the surviving patients had not been readmitted after 10 years of follow-up. Readmission risk increased with the number of previous admissions. At the first discharge readmission risk decreased with increasing age and was significantly predicted by clinical subtype and gender. At later discharges (5th, 10th, and 15th) the effect of these variables gradually disappeared. At the 15th discharge readmissions were mainly predicted by the duration of the latest admission and discharge periods. Both the increase in readmission risk with the number of previous admissions and the evolving pattern of predictors for readmission risk are interpreted as supporting the existence of a smaller subpopulation among schizophrenic patients with frequent relapses. PMID:8208887

  1. Childhood Predictors of Young Adult Male Crime

    PubMed Central

    Ou, Suh-Ruu; Reynolds, Arthur J.

    2010-01-01

    The study sample was drawn from the Chicago Longitudinal Study (CLS), an ongoing investigation of a panel of low-income minority children (93% Black) growing up in high-poverty neighborhoods in Chicago. The study sample included 733 males who were active by age 26. Adult criminal records were collected through administrative records and supplemented with self-reports. Outcome measures included incarceration, conviction, and felony conviction by age 26. Probit regression was used to analyze the data. Findings indicated that common childhood predictors were AFDC participation by child’s age 3, negative home environment, maltreatment experience, trouble making behavior, and number of school moves. Unique predictors were mother unemployed by child’s age 3 for incarceration or jail, four or more children in household by child’s age 3 for felony conviction, and mother did not complete high school by child’s age 3 and social competence for both incarceration or jail and felony conviction. Implications on crime prevention were discussed. PMID:20657803

  2. Predictors of Neurocognitive Syndromes in Combat Veterans

    PubMed Central

    Roy, Michael J; Gill, Jessica; Leaman, Suzanne; Law, Wendy; Ndiongue, Rochelle; Taylor, Patricia; Kim, Hyung-Suk; Bieler, Gayle S; Garge, Nikhil; Rapp, Paul E; Keyser, David; Nathan, Dominic; Xydakis, Michael; Pham, Dzung; Wassermann, Eric

    2015-01-01

    Traumatic brain injury, depression and posttraumatic stress disorder (PTSD) are neurocognitive syndromes often associated with impairment of physical and mental health, as well as functional status. These syndromes are also frequent in military service members (SMs) after combat, although their presentation is often delayed until months after their return. The objective of this prospective cohort study was the identification of independent predictors of neurocognitive syndromes upon return from deployment could facilitate early intervention to prevent disability. We completed a comprehensive baseline assessment, followed by serial evaluations at three, six, and 12 months, to assess for new-onset PTSD, depression, or postconcussive syndrome (PCS) in order to identify baseline factors most strongly associated with subsequent neurocognitive syndromes. On serial follow-up, seven participants developed at least one neurocognitive syndrome: five with PTSD, one with depression and PTSD, and one with PCS. On univariate analysis, 60 items were associated with syndrome development at p < 0.15. Decision trees and ensemble tree multivariate models yielded four common independent predictors of PTSD: right superior longitudinal fasciculus tract volume on MRI; resting state connectivity between the right amygdala and left superior temporal gyrus (BA41/42) on functional MRI; and single nucleotide polymorphisms in the genes coding for myelin basic protein as well as brain-derived neurotrophic factor. Our findings require follow-up studies with greater sample size and suggest that neuroimaging and molecular biomarkers may help distinguish those at high risk for post-deployment neurocognitive syndromes. PMID:26251769

  3. [Predictors factors of refractory epilepsy in childhood].

    PubMed

    Fray, S; Ben Ali, N; Kchaou, M; Chebbi, S; Belal, S

    2015-10-01

    The aim of this study is to identify early predictors of refractory epilepsy. From 600 epileptic children followed for at least 2 years in the department of neurology of Charles Nicolle hospital of Tunis, were identified children with refractory epilepsy. Controls were children who responded well to antiepileptic drugs and who were seizure free for at least 2years. We collected anamnestic, clinical, neuropsychological and radiological data for all children. We identified 67 children with refractory epilepsy, representing 11.6% of the initial population. At diagnosis, the average age was 9.16 years. Some factors have been identified as predictors of drug resistance epilepsy: age of onset less than one year, partial and atonic seizure, combination of several types of attacks, presence of mental retardation and pyramidal syndrome, abnormal electroencephalogram especially focal abnormalities, spike, amplitude abnormalities, interhemispheric asymmetry; and resistance to first antiepileptic drug. Symptomatic epilepsy, especially if associated with radiological lesions such as hippocampal sclerosis and structural brain malformations, was highly correlated with drug resistance. Our study suggests that the initial presentation of epilepsy could predict long-term outcome to drug resistance epilepsy if a detailed analysis of anamnestic, clinical and complementary data is established.

  4. Predictors of Neurocognitive Syndromes in Combat Veterans.

    PubMed

    Roy, Michael J; Costanzo, Michelle; Gill, Jessica; Leaman, Suzanne; Law, Wendy; Ndiongue, Rochelle; Taylor, Patricia; Kim, Hyung-Suk; Bieler, Gayle S; Garge, Nikhil; Rapp, Paul E; Keyser, David; Nathan, Dominic; Xydakis, Michael; Pham, Dzung; Wassermann, Eric

    2015-07-01

    Traumatic brain injury, depression and posttraumatic stress disorder (PTSD) are neurocognitive syndromes often associated with impairment of physical and mental health, as well as functional status. These syndromes are also frequent in military service members (SMs) after combat, although their presentation is often delayed until months after their return. The objective of this prospective cohort study was the identification of independent predictors of neurocognitive syndromes upon return from deployment could facilitate early intervention to prevent disability. We completed a comprehensive baseline assessment, followed by serial evaluations at three, six, and 12 months, to assess for new-onset PTSD, depression, or postconcussive syndrome (PCS) in order to identify baseline factors most strongly associated with subsequent neurocognitive syndromes. On serial follow-up, seven participants developed at least one neurocognitive syndrome: five with PTSD, one with depression and PTSD, and one with PCS. On univariate analysis, 60 items were associated with syndrome development at p < 0.15. Decision trees and ensemble tree multivariate models yielded four common independent predictors of PTSD: right superior longitudinal fasciculus tract volume on MRI; resting state connectivity between the right amygdala and left superior temporal gyrus (BA41/42) on functional MRI; and single nucleotide polymorphisms in the genes coding for myelin basic protein as well as brain-derived neurotrophic factor. Our findings require follow-up studies with greater sample size and suggest that neuroimaging and molecular biomarkers may help distinguish those at high risk for post-deployment neurocognitive syndromes. PMID:26251769

  5. Predictors of Condom Use Among Mexican Adolescents

    PubMed Central

    Alvarez, Carmen; Villarruel, Antonia M.; Zhou, Yan; Gallegos, Esther

    2012-01-01

    Mexican adolescents continue to be at increased risk for HIV infection due to inconsistent condom use. The purpose of this study was to identify predictors of condom use intentions and condom use among Mexican adolescents who participated in a randomized control trial designed to test a sexual-risk reduction intervention. Data from sexually active adolescents 17 to 21 years (n = 157) of age who were assigned to the control group were analyzed 48 months post intervention. Regression analysis showed that positive attitudes toward condoms, subjective norms, and control beliefs significantly explained intention to use condoms (R2 = .75, p < .001). Attitudes toward condoms (β = .67, p < .001), technical skills (β = .13, p = .01), and condom use self-efficacy (β = .24, p < .001) were significant predictors of condom use intention. Compared to those who inconsistently used condoms, adolescents who used condoms consistently had greater intention to use condoms and greater impulse control. Findings suggest that attitudes and control beliefs should be further explored with Mexican adolescents in order to support consistent condom use. PMID:20949835

  6. Longitudinal Predictors of Institutionalization in Old Age

    PubMed Central

    Hajek, André; Brettschneider, Christian; Lange, Carolin; Posselt, Tina; Wiese, Birgitt; Steinmann, Susanne; Weyerer, Siegfried; Werle, Jochen; Pentzek, Michael; Fuchs, Angela; Stein, Janine; Luck, Tobias; Bickel, Horst; Mösch, Edelgard; Wagner, Michael; Jessen, Frank; Maier, Wolfgang; Scherer, Martin

    2015-01-01

    Objective To investigate time-dependent predictors of institutionalization in old age using a longitudinal approach. Methods In a representative survey of the German general population aged 75 years and older predictors of institutionalization were observed every 1.5 years over six waves. Conditional fixed-effects logistic regressions (with 201 individuals and 960 observations) were performed to estimate the effects of marital status, depression, dementia, and physical impairments (mobility, hearing and visual impairments) on the risk of admission to old-age home or nursing home. By exploiting the longitudinal data structure using panel econometric models, we were able to control for unobserved heterogeneity such as genetic predisposition and personality traits. Results The probability of institutionalization increased significantly with occurrence of widowhood, depression, dementia, as well as walking and hearing impairments. In particular, the occurrence of widowhood (OR = 78.3), dementia (OR = 154.1) and substantial mobility impairment (OR = 36.7) were strongly associated with institutionalization. Conclusion Findings underline the strong influence of loss of spouse as well as dementia on institutionalization. This is relevant as the number of old people (a) living alone and (b) suffering from dementia is expected to increase rapidly in the next decades. Consequently, it is supposed that the demand for institutionalization among the elderly will increase considerably. Practitioners as well as policy makers should be aware of these upcoming challenges. PMID:26658776

  7. Predictors of Mortality in Staphylococcus aureus Bacteremia

    PubMed Central

    Jensen, Slade O.; Vaska, Vikram L.; Espedido, Björn A.; Paterson, David L.; Gosbell, Iain B.

    2012-01-01

    Summary: Staphylococcus aureus bacteremia (SAB) is an important infection with an incidence rate ranging from 20 to 50 cases/100,000 population per year. Between 10% and 30% of these patients will die from SAB. Comparatively, this accounts for a greater number of deaths than for AIDS, tuberculosis, and viral hepatitis combined. Multiple factors influence outcomes for SAB patients. The most consistent predictor of mortality is age, with older patients being twice as likely to die. Except for the presence of comorbidities, the impacts of other host factors, including gender, ethnicity, socioeconomic status, and immune status, are unclear. Pathogen-host interactions, especially the presence of shock and the source of SAB, are strong predictors of outcomes. Although antibiotic resistance may be associated with increased mortality, questions remain as to whether this reflects pathogen-specific factors or poorer responses to antibiotic therapy, namely, vancomycin. Optimal management relies on starting appropriate antibiotics in a timely fashion, resulting in improved outcomes for certain patient subgroups. The roles of surgery and infectious disease consultations require further study. Although the rate of mortality from SAB is declining, it remains high. Future international collaborative studies are required to tease out the relative contributions of various factors to mortality, which would enable the optimization of SAB management and patient outcomes. PMID:22491776

  8. Predictors of food preferences in adult humans.

    PubMed

    Logue, A W; Smith, M E

    1986-06-01

    Predictors of preferences for a wide variety of foods were examined in 303 male and female human subjects ranging from 14-68 years of age. The subjects completed questionnaires which requested information on the subject's sex, age, thinness, sensation seeking and ethnic background, as well as on the subjects' food preferences. Largely consistent with previous studies, female subjects reported higher preferences for low-calorie foods, candy and wine, and lower preferences for meat, beer, spicy foods and milk. Younger subjects reported higher preferences for sweet foods and lower preferences for foods such as chili pepper that are considered acquired tastes. Thinner subjects tended to rate both sweet foods and meat lower than did other subjects. Preferences for spicy foods or foods likely to cause illness were positively correlated with sensation seeking while preferences for sweet or bland foods or foods unlikely to cause illness were negatively correlated with sensation seeking. Subjects for whom the primary cuisine on which they were raised was Oriental cuisine preferred alcoholic beverages and non-Oriental foods less than did other subjects. A factor analysis of the food preferences yielded ten factors including those for meat and potatoes, alcohol, spices and junk food. Data on predictors of food preferences can assist research on the determinants of food preferences, however much of the variance in food preferences remains to be explained.

  9. Predictors of weight reduction in obese children.

    PubMed

    Nuutinen, O; Knip, M

    1992-11-01

    The characteristics of successful and unsuccessful weight losers were studied in 48 obese children (relative weight > 120%) aged 6-15 years who were treated for 1 year and observed for another. Successful weight loss was defined as a decrease in relative weight of > or = 0.8 in the standard deviation score (SDS) at the end of the study. Thirty-two children were treated intensively, 16 with individual counselling and 16 in group therapy, while the remaining 16 children were treated conventionally in a school health care setting. Three children dropped out of the study. In 2 years, the relative body weight decreased by 1.7 SDS in those who were successful weight losers (n = 21, 47%), but remained unchanged in those who had been unsuccessful (n = 24). At baseline there were no differences between the two groups. At 1 year, the successful weight losers had lower body weight (P < 0.05), less lean body mass (0.05) and lower fasting concentrations of circulating insulin (P < 0.01) than the unsuccessful children did. A decrease in mothers' body mass index (BMI) and in documented energy intake over the first year as well as energy intake at 1 year were significant predictors of success at 2 years. The combination of these three predictors resulted in correct classification of about 3/4 of the cases as successful or unsuccessful weight losers. It appears, however, difficult to develop a clinically useful model for predicting the treatment outcome in obese children.

  10. Predictors of Metastatic Disease After Prostate Brachytherapy

    SciTech Connect

    Forsythe, Kevin; Burri, Ryan; Stone, Nelson; Stock, Richard G.

    2012-06-01

    Purpose: To identify predictors of metastatic disease after brachytherapy treatment for prostate cancer. Methods and Materials: All patients who received either brachytherapy alone (implant) or brachytherapy in combination with external beam radiation therapy for treatment of localized prostate cancer at The Mount Sinai Hospital between June 1990 and March 2007 with a minimum follow-up of 2 years were included. Univariate and multivariable analyses were performed on the following variables: risk group, Gleason score (GS), clinical T stage, pretreatment prostate-specific antigen level, post-treatment prostate-specific antigen doubling time (PSA-DT), treatment type (implant vs. implant plus external beam radiation therapy), treatment era, total biological effective dose, use of androgen deprivation therapy, age at diagnosis, and race. PSA-DT was analyzed in the following ordinate groups: 0 to 90 days, 91 to 180 days, 180 to 360 days, and greater than 360 days. Results: We included 1,887 patients in this study. Metastases developed in 47 of these patients. The 10-year freedom from distant metastasis (FFDM) rate for the entire population was 95.1%. Median follow-up was 6 years (range, 2-15 years). The only two significant predictors of metastatic disease by multivariable analyses were GS and PSA-DT (p < 0.001 for both variables). Estimated 10-year FFDM rates for GS of 6 or less, GS of 7, and GS of 8 or greater were 97.9%, 94.3%, and 76.1%, respectively (p < 0.001). Estimated FFDM rates for PSA-DT of 0 to 90 days, 91 to 180 days, 181 to 360 days, and greater than 360 days were 17.5%, 67.9%, 74%, and 94.8%, respectively (p < 0.001). Estimated 10-year FFDM rates for the low-, intermediate-, and high-risk groups were 98.6%, 96.2%, and 86.7%, respectively. A demographic shift to patients presenting with higher-grade disease in more recent years was observed. Conclusions: GS and post-treatment PSA-DT are both statistically significant independent predictors of metastatic

  11. Predictors of Sleep Quantity and Quality in College Students

    ERIC Educational Resources Information Center

    Davidson, Eric S.

    2012-01-01

    Whereas sleep is often thought of as a common health issue among college students, few, if any, researchers have comprehensively evaluated correlates and predictors of sleep quality and quantity within this population. Most often, studies of this type are used by researchers to assess particular categories of correlates and predictors (e.g.,…

  12. Kindergarten Predictors of Second versus Eighth Grade Reading Comprehension Impairments

    ERIC Educational Resources Information Center

    Adlof, Suzanne M.; Catts, Hugh W.; Lee, Jaehoon

    2010-01-01

    Multiple studies have shown that kindergarten measures of phonological awareness and alphabet knowledge are good predictors of reading achievement in the primary grades. However, less attention has been given to the early predictors of later reading achievement. This study used a modified best-subsets variable-selection technique to examine…

  13. Predictors of Complicated Grief: A Systematic Review of Empirical Studies

    ERIC Educational Resources Information Center

    Lobb, Elizabeth A.; Kristjanson, Linda J.; Aoun, Samar M.; Monterosso, Leanne; Halkett, Georgia K. B.; Davies, Anna

    2010-01-01

    A systematic review of the literature on predictors of complicated grief (CG) was undertaken with the aim of clarifying the current knowledge and to inform future planning and work in CG following bereavement. Predictors of CG prior to the death include previous loss, exposure to trauma, a previous psychiatric history, attachment style, and the…

  14. 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…

  15. Relations among Socioeconomic Status, Age, and Predictors of Phonological Awareness

    ERIC Educational Resources Information Center

    McDowell, Kimberly D.; Lonigan, Christopher J.; Goldstein, Howard

    2007-01-01

    Purpose: This study simultaneously examined predictors of phonological awareness within the framework of 2 theories: the phonological distinctness hypothesis and the lexical restructuring model. Additionally, age as a moderator of the relations between predictor variables and phonological awareness was examined. Method: This cross-sectional…

  16. Preschool Predictors of Narrative Writing Skills in Elementary School Children

    ERIC Educational Resources Information Center

    Hooper, Stephen R.; Roberts, Joanne E.; Nelson, Lauren; Zeisel, Susan; Kasambira Fannin, Danai

    2010-01-01

    This study examined the preschool predictors of elementary school narrative writing skills. The sample included 65 typically developing African American children, ranging in age from 5.0 to 5.5 years, and was 44.6% male. Targeted preschool predictors included measures of phonological processing, core language abilities, prereading skills, and…

  17. Age and Gender Differences in the Predictors of Adolescent Drinking.

    ERIC Educational Resources Information Center

    Barber, James G.; Bolitho, Floyd; Bertrand, Lorne D.

    1998-01-01

    Predictors of alcohol consumption were investigated across age and sex among junior and senior high school students (N=1,942). The dominant predictor for young boys was whether their friends drink; for girls it was related to interpersonal disorder. Peer pressure was important for older girls and continued dominant for boys. (EMK)

  18. Transfer of Training from Predictor to Conventional Displays. Interim Report.

    ERIC Educational Resources Information Center

    Wulfeck, J. W.

    Use of a predictor display has been shown to virtually transform the difficulty of a variety of complex, manual control pursuit tracking tasks to the level of those having relatively simple control requirements. With 15-minutes practice, naive operators are able to perform some complex tasks with a predictor display at accuracy levels previously…

  19. An Effect Size for Regression Predictors in Meta-Analysis

    ERIC Educational Resources Information Center

    Aloe, Ariel M.; Becker, Betsy Jane

    2012-01-01

    A new effect size representing the predictive power of an independent variable from a multiple regression model is presented. The index, denoted as r[subscript sp], is the semipartial correlation of the predictor with the outcome of interest. This effect size can be computed when multiple predictor variables are included in the regression model…

  20. Effects of Internship Predictors on Successful Field Experience.

    ERIC Educational Resources Information Center

    Beard, Fred; Morton, Linda

    1999-01-01

    Finds that a majority of advertising and public-relations interns found their internships successful. Indicates that successful internships depend on predictors given the least attention by school programs: quality of supervision was the most important single predictor variable, followed in importance by organizational practices/policies, positive…

  1. Predictors of Anxiety and Depression in Taiwanese Secondary Students.

    ERIC Educational Resources Information Center

    Hong, Zuway-R; Veach, Patricia McCarthy; Lawrenz, Frances

    This study investigated significant predictors of anxiety and depression in Taiwanese secondary students and the different functions of these predictors. Surveys were completed by 1,672 senior high school students in Taiwan. As part of a larger study, these students completed the Secondary Student Questionnaire (SSQ), an instrument developed by…

  2. Determining Predictor Importance in Hierarchical Linear Models Using Dominance Analysis

    ERIC Educational Resources Information Center

    Luo, Wen; Azen, Razia

    2013-01-01

    Dominance analysis (DA) is a method used to evaluate the relative importance of predictors that was originally proposed for linear regression models. This article proposes an extension of DA that allows researchers to determine the relative importance of predictors in hierarchical linear models (HLM). Commonly used measures of model adequacy in…

  3. Mean phase predictor for maximum a posteriori demodulator

    NASA Technical Reports Server (NTRS)

    Altes, Richard A. (Inventor)

    1996-01-01

    A system and method for optimal maximum a posteriori (MAP) demodulation using a novel mean phase predictor. The mean phase predictor conducts cumulative averaging over multiple blocks of phase samples to provide accurate prior mean phases, to be input into a MAP phase estimator.

  4. Psychological Predictors of Anabolic Steroid Use: An Exploratory Study.

    ERIC Educational Resources Information Center

    Schwerin, Michael J.; Corcoran, Kevin J.; LaFleur, Bonnie J.; Fisher, Leslee; Patterson, David; Olrich, Tracy

    1997-01-01

    Examined social physique anxiety, upper body esteem, social anxiety, and body dissatisfaction as possible predictors of anabolic steroid (AS) use. Results based on 185 AS-using bodybuilders and various control groups indicated that the upper body strength subscale of two measures, along with age, were significant predictors of AS use. (RJM)

  5. Developmental Spelling and Other Language Predictors of Reading Achievement.

    ERIC Educational Resources Information Center

    Robinson, Susan Smith

    A longitudinal study determined if children's invented spelling served as a viable predictor of reading achievement and compared the predictive value of assessing children's invented spelling relative to other notable predictors, such as letter names, letter sounds, a concept of a word, and phonemic awareness. Subjects, 52 kindergarten children…

  6. Beyond ORF: Student-Level Predictors of Reading Achievement

    ERIC Educational Resources Information Center

    Canto, Angela I.; Proctor, Briley E.

    2013-01-01

    This study explored student-level predictors of reading achievement among third grade regular education students. Predictors included student demographics (sex and socioeconomic status (SES), using free and reduced lunch as proxy for SES), direct observations of reading skills (oral reading fluency (ORF) and word decoding skill (nonsense word…

  7. Individual predictors of traumatic reactions in firefighters.

    PubMed

    Regehr, C; Hill, J; Glancy, G D

    2000-06-01

    Increasingly, theorists and researchers in the area of trauma are pointing to the importance of individual differences in resilience and vulnerability as key determinants of the intensity and duration of trauma-related symptoms. Determining the relative influence of individual predictors is important for the further development of theoretical models for understanding trauma responses and for the subsequent development of intervention strategies that are sensitive to individual differences. This study explores the influence of individual factors and social support on traumatic reactions in firefighters exposed to tragic events in the line of duty. A total of 164 Australian firefighters completed questionnaires targeting locus of control, self-efficacy, patterns of interpersonal relating, social support and level of emotional distress. Results indicate that individuals with feelings of insecurity, lack of personal control, and alienation from others were more likely to experience higher levels of depression and posttraumatic stress symptoms subsequent to exposure to traumatic events on the job.

  8. Individual predictors of traumatic reactions in firefighters.

    PubMed

    Regehr, C; Hill, J; Glancy, G D

    2000-06-01

    Increasingly, theorists and researchers in the area of trauma are pointing to the importance of individual differences in resilience and vulnerability as key determinants of the intensity and duration of trauma-related symptoms. Determining the relative influence of individual predictors is important for the further development of theoretical models for understanding trauma responses and for the subsequent development of intervention strategies that are sensitive to individual differences. This study explores the influence of individual factors and social support on traumatic reactions in firefighters exposed to tragic events in the line of duty. A total of 164 Australian firefighters completed questionnaires targeting locus of control, self-efficacy, patterns of interpersonal relating, social support and level of emotional distress. Results indicate that individuals with feelings of insecurity, lack of personal control, and alienation from others were more likely to experience higher levels of depression and posttraumatic stress symptoms subsequent to exposure to traumatic events on the job. PMID:10890341

  9. Predictors of telomere content in dragon lizards

    NASA Astrophysics Data System (ADS)

    Ballen, Cissy; Healey, Mo; Wilson, Mark; Tobler, Michael; Olsson, Mats

    2012-08-01

    Telomeres shorten as a consequence of DNA replication, in particular in cells with low production of telomerase and perhaps in response to physiological stress from exposure to reactive oxygen species, such as superoxide. This process of telomere attrition is countered by innate antioxidation, such as via the production of superoxide dismutase. We studied the inheritance of telomere length in the Australian painted dragon lizard ( Ctenophorus pictus) and the extent to which telomere length covaries with mass-corrected maternal reproductive investment, which reflects the level of circulating yolk precursor and antioxidant, vitellogenin. Our predictors of offspring telomere length explained 72 % of telomere variation (including interstitial telomeres if such are present). Maternal telomere length and reproductive investment were positively influencing offspring telomere length in our analyses, whereas flow cytometry-estimated superoxide level was negatively impacting offspring telomere length. We suggest that the effects of superoxide on hatchling telomere shortening may be partly balanced by transgenerational effects of vitellogenin antioxidation.

  10. Stable LPV realisation of the Smith predictor

    NASA Astrophysics Data System (ADS)

    Blanchini, Franco; Casagrande, Daniele; Miani, Stefano; Viaro, Umberto

    2016-07-01

    The paper is concerned with the control of a linear plant with an output delay. As is known, when the plant parameters do not vary in time, the transfer function approach can be used to find a high-performing controller with the Smith-predictor structure. Such an approach in the domain of the Laplace transform is not directly applicable in the time-variant case. Nevertheless, it is shown that the transfer function of the Smith controller valid for constant values of the parameters can be realised in such a way that closed-loop stability, as well as point-wise optimal performance, is ensured also when the parameters vary with time. The suggested technique is applied to the control of a heat exchanger whose varying parameters include a measurement delay.

  11. Multiresolution dynamic predictor based on neural networks

    NASA Astrophysics Data System (ADS)

    Tsui, Fu-Chiang; Li, Ching-Chung; Sun, Mingui; Sclabassi, Robert J.

    1996-03-01

    We present a multiresolution dynamic predictor (MDP) based on neural networks for multi- step prediction of a time series. The MDP utilizes the discrete biorthogonal wavelet transform to compute wavelet coefficients at several scale levels and recurrent neural networks (RNNs) to form a set of dynamic nonlinear models for prediction of the time series. By employing RNNs in wavelet coefficient space, the MDP is capable of predicting a time series for both the long-term (with coarse resolution) and short-term (with fine resolution). Experimental results have demonstrated the effectiveness of the MDP for multi-step prediction of intracranial pressure (ICP) recorded from head-trauma patients. This approach has applicability to quasi- stationary signals and is suitable for on-line computation.

  12. Masking mediated print defect visibility predictor

    NASA Astrophysics Data System (ADS)

    Jing, Xiaochen; Nachlieli, Hila; Shaked, Doron; Shiffman, Smadar; Allebach, Jan P.

    2012-01-01

    Banding is a well-known artifact produced by printing systems. It usually appears as lines perpendicular to the process direction of the print. Therefore, banding is an important print quality issue which has been analyzed and assessed by many researchers. However, little literature has focused on the study of the masking effect of content for this kind of print quality issue. Compared with other image and print quality research, our work is focused on the print quality of typical documents printed on a digital commercial printing press. In this paper, we propose a Masking Mediated Print Defect Visibility Predictor (MMPDVP) to predict the visibility of defects in the presence of customer content. The parameters of the algorithm are trained from ground-truth images that have been marked by subjects. The MMPDVP could help the press operator decide whether the print quality is acceptable for specific customer requirements. Ultimately, this model can be used to optimize the print-shop workflow.

  13. Predictors of Moral Disengagement in Sport.

    PubMed

    Shields, David Light; Funk, Christopher D; Bredemeier, Brenda Light

    2015-12-01

    Researchers have made productive use of Bandura's (1991) construct of moral disengagement (MD) to help explain why sport participants deviate from ethical ideals. In this study of intercollegiate athletes from diverse sports (N = 713), we examined MD in relation to other character-related variables: empathy, moral identity, moral attentiveness, and contesting orientations. We also examined whether moral attentiveness conforms to the pattern of "bracketed morality" found in moral reasoning (Shields & Bredemeier, 1995) and moral behavior (Kavussanu, Boardley, Sagar, & Ring, 2013). Results indicated that MD correlated positively with perceptual moral attentiveness and war contesting orientation; MD correlated negatively with empathy, moral identity, reflective moral attentiveness, and partnership contesting orientation. Results of hierarchical regression demonstrated that gender, contesting orientations, moral identity, and one form of moral attentiveness were significant predictors of MD. Finally, sport participants were found to be less morally attentive in sport than in everyday life.

  14. Multiple predictor smoothing methods for sensitivity analysis.

    SciTech Connect

    Helton, Jon Craig; Storlie, Curtis B.

    2006-08-01

    The use of multiple predictor smoothing methods in sampling-based sensitivity analyses of complex models is investigated. Specifically, sensitivity analysis procedures based on smoothing methods employing the stepwise application of the following nonparametric regression techniques are described: (1) locally weighted regression (LOESS), (2) additive models, (3) projection pursuit regression, and (4) recursive partitioning regression. The indicated procedures are illustrated with both simple test problems and results from a performance assessment for a radioactive waste disposal facility (i.e., the Waste Isolation Pilot Plant). As shown by the example illustrations, the use of smoothing procedures based on nonparametric regression techniques can yield more informative sensitivity analysis results than can be obtained with more traditional sensitivity analysis procedures based on linear regression, rank regression or quadratic regression when nonlinear relationships between model inputs and model predictions are present.

  15. Heteroscedasticity generated by errors in predictors

    SciTech Connect

    Downing, D.J.; Fedorov, V.V.; Nanstad, R.K.

    1995-11-01

    The heteroscedasticity or changing variance observed ``raw`` data may be the result of randomness or uncertainty in the predictor variables. As an example we consider ``Charpy Test`` experiments widely used to characterize the ductile-brittle toughness of steels such as those used for nuclear pressure vessels. While this type of experiment is of interest in itself, our main objective is to show that the use of a proper statistical technique may help to avoid the use of more complicated physical models to explain the heteroscedasticity of the observations. We also extend the existing method of regression analysis with errors in controllable variables to the case when the variances of the response and the controllable variables are both unknown.

  16. LACIE performance predictor FOC users manual

    NASA Technical Reports Server (NTRS)

    1976-01-01

    The LACIE Performance Predictor (LPP) is a computer simulation of the LACIE process for predicting worldwide wheat production. The simulation provides for the introduction of various errors into the system and provides estimates based on these errors, thus allowing the user to determine the impact of selected error sources. The FOC LPP simulates the acquisition of the sample segment data by the LANDSAT Satellite (DAPTS), the classification of the agricultural area within the sample segment (CAMS), the estimation of the wheat yield (YES), and the production estimation and aggregation (CAS). These elements include data acquisition characteristics, environmental conditions, classification algorithms, the LACIE aggregation and data adjustment procedures. The operational structure for simulating these elements consists of the following key programs: (1) LACIE Utility Maintenance Process, (2) System Error Executive, (3) Ephemeris Generator, (4) Access Generator, (5) Acquisition Selector, (6) LACIE Error Model (LEM), and (7) Post Processor.

  17. Early predictors of high school mathematics achievement.

    PubMed

    Siegler, Robert S; Duncan, Greg J; Davis-Kean, Pamela E; Duckworth, Kathryn; Claessens, Amy; Engel, Mimi; Susperreguy, Maria Ines; Chen, Meichu

    2012-07-01

    Identifying the types of mathematics content knowledge that are most predictive of students' long-term learning is essential for improving both theories of mathematical development and mathematics education. To identify these types of knowledge, we examined long-term predictors of high school students' knowledge of algebra and overall mathematics achievement. Analyses of large, nationally representative, longitudinal data sets from the United States and the United Kingdom revealed that elementary school students' knowledge of fractions and of division uniquely predicts those students' knowledge of algebra and overall mathematics achievement in high school, 5 or 6 years later, even after statistically controlling for other types of mathematical knowledge, general intellectual ability, working memory, and family income and education. Implications of these findings for understanding and improving mathematics learning are discussed.

  18. Design of the hybrid automated reliability predictor

    NASA Technical Reports Server (NTRS)

    Geist, R.; Trivedi, K.; Dugan, J. B.; Smotherman, M.

    1983-01-01

    The design of the Hybrid Automated Reliability Predictor (HARP), now under development at Duke University, is presented. The HARP approach to reliability prediction is characterized by a decomposition of the overall model into fault-occurrence and fault-handling sub-models. The fault-occurrence model is a non-homogeneous Markov chain which is solved analytically, while the fault-handling model is a Petri Net which is simulated. HARP provides automated analysis of sensitivity to uncertainties in the input parameters and in the initial state specifications. It then produces a predicted reliability band as a function of mission time, as well as estimates of the improvement (narrowing of the band) to be gained by a specified amount of reduction in uncertainty.

  19. Autoencoder-based identification of predictors of Indian monsoon

    NASA Astrophysics Data System (ADS)

    Saha, Moumita; Mitra, Pabitra; Nanjundiah, Ravi S.

    2016-10-01

    Prediction of Indian summer monsoon uses a number of climatic variables that are historically known to provide a high skill. However, relationships between predictors and predictand could be complex and also change with time. The present work attempts to use a machine learning technique to identify new predictors for forecasting the Indian monsoon. A neural network-based non-linear dimensionality reduction technique, namely, the sparse autoencoder is used for this purpose. It extracts a number of new predictors that have prediction skills higher than the existing ones. Two non-linear ensemble prediction models of regression tree and bagged decision tree are designed with identified monsoon predictors and are shown to be superior in terms of prediction accuracy. Proposed model shows mean absolute error of 4.5 % in predicting the Indian summer monsoon rainfall. Lastly, geographical distribution of the new monsoon predictors and their characteristics are discussed.

  20. Cognitive bias and irrational belief as predictors of avoidance.

    PubMed

    Warren, R; Zgourides, G; Jones, A

    1989-01-01

    Cognitive bias, i.e. overestimates of subjective probability and cost of catastrophic events, and irrational belief were explored as predictors of avoidance. Three groups-anxiety disordered clients, a mixed group of clinic outpatients, and normals--were administered several self-report inventories. Multiple regression analyses were used to investigate a modified version of the Agoraphobic Cognitions Questionnaire, the Belief Scale, and the Body Sensations Questionnaire as predictors of avoidance, as measured by the Mobility Inventory. It was hypothesized that frequency x probability x cost of catastrophic cognitions (and the occurrence of the events they represent) would be a better predictor of avoidance than frequency alone. It was also hypothesized that irrational thinking would be a significant predictor of avoidance. The results generally supported the hypotheses, with subjective probability emerging as a particularly potent predictor of avoidance. Theoretical and clinical implications are discussed. PMID:2930444

  1. The development of a Kalman filter clock predictor

    NASA Technical Reports Server (NTRS)

    Davis, John A.; Greenhall, Charles A.; Boudjemaa, Redoane

    2005-01-01

    A Kalman filter based clock predictor is developed, and its performance evaluated using both simulated and real data. The clock predictor is shown to possess a neat to optimal Prediction Error Variance (PEV) when the underlying noise consists of one of the power law noise processes commonly encountered in time and frequency measurements. The predictor's performance is the presence of multiple noise processes is also examined. The relationship between the PEV obtained in the presence of multiple noise processes and those obtained for the individual component noise processes is examined. Comparisons are made with a simple linear clock predictor. The clock predictor is used to predict future values of the time offset between pairs of NPL's active hydrogen masers.

  2. Evaluation of bedform predictors in tidal environments

    NASA Astrophysics Data System (ADS)

    Ferret, Y.; Ernstsen, V.; Lefebvre, A.; Winter, C.

    2012-04-01

    The seabed of coastal environments commonly exhibits a large range of complex mobile bedforms due to the interaction between hydrodynamics and sediment transport. Yet, no fundamental law has been identified which describes the initiation and development of these ubiquitous, flow and wave driven features. Thus, the prediction of bedform dimensions and dynamics is carried out using empirical relationships. In this study we evaluate some of these equations, based on a large data set consisting of high resolution multi-beam bathymetry, modelled hydrodynamics and sediment characteristics collected in the Jade Bay, and the Weser and the Elbe estuaries (German Bight, North Sea). More than 2000 individual bedforms were identified; they display a wide range of dimensions with heights ranging from 0.1 to 5 m and wavelengths between 10 and 300 m. They were used to test the classical relationships of Flemming (1988) and Francken et al. (2004) for the interdependency of length and height of individual bedforms. Taking into account all the data resulted in a large scatter, with weak correlations of averaged measured and predicted parameters (bedform height and length). However, applying a generalized extreme value method (which weights the Gaussian distribution of bedform height with the maximum frequency for every measured bedform length) in order to get the maximum density of bedform height, a strong dependency was identified (r2 = 0.76). Furthermore predictor equations that relate equilibrium flow and sediment characteristics to bedform dimensions and hydraulic roughness were tested (e.g. Yalin, 1964; Van Rijn, 1984). Results showed a significant scatter and limited reliability. Statistical analyses were used to accurately quantify the influence of the physical environment (depth, current velocity, grain size) on bedform morphologies in order to enhance the bedform predictors.

  3. Nutritional Predictors of Complications Following Radical Cystectomy

    PubMed Central

    Johnson, David C.; Riggs, Stephen B.; Nielsen, Matthew E.; Matthews, Jonathan E.; Woods, Michael E.; Wallen, Eric M.; Pruthi, Raj S.; Smith, Angela B.

    2016-01-01

    Purpose To determine the impact of preoperative nutritional status on the development of surgical complications following cystectomy using the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP). Methods We performed a retrospective review of the NSQIP 2005–2012 Participant Use Data Files. ACS-NSQIP collects data on 135 variables, including pre- and intraoperative data and 30-day post-operative complications and mortality on all major surgical procedures at participating institutions. Preoperative albumin (<3.5 or >3.5 g/dl), weight loss 6 months before surgery (>10%), and BMI were identified as nutritional variables within the database. The overall complication rate was calculated and predictors of complications were identified using multivariable logistic regression models. Results 1,213 patients underwent cystectomy for bladder cancer between 2005–2012. The overall 30-day complication rate was 55.1% (n=668). While 14.7% (n=102) had a preoperative albumin <3.5 g/dL, 3.4% had >10% weight loss in the 6 months prior to surgery, and the mean BMI was 28 kg/m2. After controlling for age, sex, medical comorbidities, medical resident involvement, operation year, operative time and prior operation, only albumin <3.5g/dl was a significant predictor of experiencing a postoperative complication (p=0.03). This remained significant when albumin was evaluated as a continuous variable (p=0.02) Conclusions Poor nutritional status measured by serum albumin is predictive of an increased rate of surgical complications following radical cystectomy. This finding supports the importance of preoperative nutritional status in this population and highlights the need for the development of effective nutritional interventions in the preoperative setting. PMID:25240535

  4. Predictors of Anxiety in Multiple Sclerosis

    PubMed Central

    Hartoonian, Narineh; Terrill, Alexandra L.; Beier, Meghan L.; Turner, Aaron P.; Day, Melissa A.; Alschuler, Kevin N.

    2014-01-01

    Purpose/Objectives The aims of this study were to (1) Identify the predictors of symptoms of anxiety, and (2) Evaluate the differential association of somatic and non-somatic symptoms of depression on anxiety over time in persons with multiple sclerosis (MS). Methods/Design Participants were 513 persons with MS who previously enrolled in a study exploring the experience of living with MS and completed a 4-month follow-up survey. The main outcome measure used was the Hospital Anxiety and Depression Scale-Anxiety (HADS-A). Demographic, disease-associated variables (time since onset of MS, EDSS, pain and fatigue), and time 1 psychological variables (somatic and non-somatic symptoms of depression) were entered into a hierarchical regression model to examine predictors at baseline for anxiety symptoms at time 2. Results Of the 513 participants in this study a large portion of the sample was white (92%), female (82%), and had relapsing-remitting MS (57%). After adjusting for demographic and disease related variables, anxiety (β <.001), employment (β =.07) and non-somatic depressive symptoms (β =.10) at baseline significantly predicted anxiety at time 2, ps<.05. Interactions revealed significant effects for time since onset of MS and somatic symptoms as well as time since onset and non-somatic symptoms, ps<.05. Non-somatic symptoms were more linked to anxiety early in the disease and somatic symptoms were more prominently linked to anxiety later in the disease. Conclusions Findings suggest that non-somatic symptoms of depression and employment predict anxiety in MS. The relationship between different aspects of depression and anxiety may change over the course of the disease. PMID:25496434

  5. Pulmonary Predictors of Incident Diabetes in Smokers

    PubMed Central

    Kinney, Gregory L.; Baker, Emma H.; Klein, Oana L.; Black-Shinn, Jennifer L.; Wan, Emily S.; Make, Barry; Regan, Elizabeth; Bowler, Russell P.; Lutz, Sharon M.; Young, Kendra A.; Duca, Lindsey M.; Washko, George R.; Silverman, Edwin K.; Crapo, James D.; Hokanson, John E.

    2016-01-01

    Background Diabetes mellitus and its complications are a large and increasing burden for health care worldwide. Reduced pulmonary function has been observed in diabetes (both type 1 and type 2), and this reduction is thought to occur prior to diagnosis. Other measures of pulmonary health are associated with diabetes, including lower exercise tolerance, greater dyspnea, lower quality of life (as measured by the St. George’s Respiratory Questionaire [SGRQ]) and susceptibility to lung infection and these measures may also predate diabetes diagnosis. Methods We examined 7080 participants in the COPD Genetic Epidemiology (COPDGene) study who did not report diabetes at their baseline visit and who provided health status updates during 4.2 years of longitudinal follow-up (LFU). We used Cox proportional hazards modeling, censoring participants at final LFU contact, reported mortality or report of incident diabetes to model predictors of diabetes. These models were constructed using known risk factors as well as proposed markers related to pulmonary health, forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), FEV1/FVC, respiratory exacerbations (RE), 6-minute walk distance (6MWD), pulmonary associated quality of life (as measured by the SGRQ), corticosteroid use, chronic bronchitis and dyspnea. Results Over 21,519 person years of follow-up, 392 of 7080 participants reported incident diabetes which was associated with expected predictors; increased body mass index (BMI), high blood pressure, high cholesterol and current smoking status. Age, gender and accumulated smoking exposure were not associated with incident diabetes. Additionally, preserved ratio with impaired spirometry (PRISm) pattern pulmonary function, reduced 6MWD and any report of serious pulmonary events were associated with incident diabetes. Conclusions This cluster of pulmonary indicators may aid clinicians in identifying and treating patients with pre- or undiagnosed diabetes. PMID

  6. Predictors of nocturnal oxyhemoglobin desaturation in COPD.

    PubMed

    Corda, Luciano; Novali, Mauro; Montemurro, Luigi Taranto; La Piana, Giuseppe Emanuele; Redolfi, Stefania; Braghini, Alessia; Modina, Denise; Pini, Laura; Tantucci, Claudio

    2011-12-15

    It would be useful to detect predictors of marked nocturnal oxyhemoglobin desaturation (NOD) among COPD patients, who do not have respiratory failure when awake and sleep apnea (SA). Stable COPD patients with awake Pa(O2) ≥ 60 mmHg and Pa(CO2) ≤ 45 mmHg underwent cardio-respiratory polysomnography to exclude SA and to assess NOD. The patients that spent more than 30% of night time with Sp(O2) < 90%, were defined desaturators (D), and the others non desaturators (ND). Pulmonary function testing was performed to determine lung volumes, maximal flow rates, lung diffusion capacity for carbon monoxide and maximal inspiratory and expiratory pressure (P(Imax) and P(Emax)). Negative expiratory pressure test was performed to assess tidal expiratory flow limitation. Supine pharyngometry was performed to determine upper airway size, shuttle walking test to assess exercise desaturation. Twenty-one patients were included in the study (18 male, age 66.0±7.2 years, Body Mass Index 25.9±4.4 kg/m(2), FEV(1) 47.2±16.4% pred., Pa(O2) 74.7±6.9 mmHg, Pa(CO2) 40.3±3.4 mmHg): 10 were D and 11 ND. Significant differences between the two groups were found in diurnal Pa(CO2) (D: 42.4±3.0 vs. ND: 38.3±2.6mmHg; p<0.01), diurnal Sp(O2) (D: 94.0±1.5 vs. ND: 95.9±0.9%; p<0.01), inspiratory capacity (IC) (D: 69.6±11.9 vs. ND: 87.0±17.7% pred.; p<0.05), and oro-pharyngeal junction area (OPJ) (D: 0.8±0.2 vs. ND: 1.2±0.3 cm(2); p<0.01). Among parameters related to marked NOD at the univariate analysis, [Formula: see text] and OPJ remained as independent predictors after stepwise multiple regression analysis. These findings indicate that previously unrecognized factors such as smaller upper airway caliber and lung dynamic hyperinflation are associated with marked NOD in stable COPD patients without daytime respiratory failure and SA. PMID:21864725

  7. Early Predictors of Hypocalcemia After Total Thyroidectomy

    PubMed Central

    Noureldine, Salem I.; Genther, Dane J.; Lopez, Michael; Agrawal, Nishant; Tufano, Ralph P.

    2015-01-01

    IMPORTANCE Postoperative hypocalcemia is common after total thyroidectomy, and perioperative monitoring of serum calcium levels is arguably the primary reason for overnight hospitalization. Confidently predicting which patients will not develop significant hypocalcemia may allow for a safe earlier discharge. OBJECTIVE To examine associations of patient characteristics with hypocalcemia, duration of hospitalization, and postoperative intact parathyroid hormone (IPTH) level after total thyroidectomy. DESIGN, SETTING, AND PARTICIPANTS Retrospective study of consecutive patients who underwent total thyroidectomy by a single high-volume surgeon between February 1, 2010, and November 30, 2012. Postoperative serum 25-hydroxyvitamin D (vitamin D), calcium, and IPTH levels were tested within 6 to 8 hours after surgery. Mild hypocalcemia was defined as any postoperative serum calcium level of less than 8.4 to 8.0 mg/dL. Significant hypocalcemia was defined as any postoperative serum calcium level of less than 8.0 mg/dL or the development of hypocalcemia-related symptoms. INTERVENTIONS Total thyroidectomy. MAIN OUTCOMES AND MEASURES Associations of patient demographic and clinical characteristics and laboratory values with postoperative mild and significant hypocalcemia were examined using univariate analysis, and independent predictors of hypocalcemia, duration of hospitalization, and IPTH level were determined using multivariate analysis. RESULTS Overall, 304 total thyroidectomies were performed. Mild and significant hypocalcemia occurred in 68 (22.4%) and 91 (29.9%) patients, respectively, of which the majority were female (P = .003). The development of significant hypocalcemia was associated with postoperative IPTH level (P < .001). On multivariate analysis, males had a decreased risk of developing mild (odds ratio, 0.37 [95% CI, 0.16–0.85]) and significant (odds ratio, 0.57 [95% CI, 0.09–0.78]) hypocalcemia. Every 10-pg/mL increase in postoperative IPTH level

  8. Predictors of Monomicrobial Necrotizing Soft Tissue Infections

    PubMed Central

    Guidry, Christopher A.; Horn, Christopher B.; Gilsdorf, Daniel; Davies, Stephen W.; Dietch, Zachary C.; Sawyer, Robert G.

    2015-01-01

    Abstract Background: Broad-spectrum antibiotic therapy is critical in the management of necrotizing soft tissue infections (NSTI) in the emergency setting. Clindamycin often is included empirically to cover monomicrobial gram-positive pathogens but probably is of little value for polymicrobial infections and is associated with significant side effects, including the induction of Clostridium difficile colitis. However, there have been no studies predicting monomicrobial infections prior to obtaining cultures. The purpose of this study was to identify independent predictors of monomicrobial NSTI where the use of clindamycin would be most beneficial. We hypothesized that monomicrobial infections are characterized by involvement of the upper extremities and fewer co-morbid diseases. Methods: We reviewed all cases of potential NSTI occurring between 1996 and 2013 in a single tertiary-care center. The infection was diagnosed by the finding of rapidly progressing necrotic fascia during debridement with positive cultures of tissue. Univariable analysis was performed using the Student t-, Wilcoxon rank sum, χ2, and Fisher exact tests as appropriate. Multivariable logistic regression was used to identify independent variables associated with outcomes. Results: A group of 151 patients with confirmed NSTI with complete data was used. Of the monomicrobial infections, 61.8% were caused by Group A streptococci, 20.1% by Staphylococcus aureus, and 12.7% by Escherichia coli. Of the polymicrobial infections, E. coli was involved 13.7% of the time, followed by Candida spp. at 12.9%, and Bacteroides fragilis at 11.3%. On univariable analysis, immunosuppression, upper extremity infection, and elevated serum sodium concentration were associated with monomicrobial infection, whereas morbid obesity and a perineal infection site were associated with polymicrobial infection. On multivariable analysis, the strongest predictor of monomicrobial infection was immunosuppression (odds ratio [OR

  9. Predictors of juveniles' noncompliance with probation requirements.

    PubMed

    NeMoyer, Amanda; Goldstein, Naomi E S; McKitten, Rhonda L; Prelic, Ana; Ebbecke, Jenna; Foster, Erika; Burkard, Casey

    2014-12-01

    Probation is the most common disposition for adjudicated youth, but little is known about which specific requirements are commonly imposed on juveniles, the requirements with which juveniles most often fail to comply, and how certain youth characteristics and/or imposed requirements might relate to probation noncompliance. An investigation of 120 archived files of youth represented by an urban public defender's office identified 29 probation requirements imposed on youth and 18 requirements with which youth commonly failed to comply. Results revealed that 52% of youth failed to comply with at least one probation requirement; prior probation noncompliance and race were both significantly associated with noncompliance in the examined probation disposition. In addition, the probability of probation noncompliance was significantly higher when youth received either of two substance-related probation requirements: drug tests or drug and alcohol counseling. Such results may prompt further investigation of juvenile probation-related predictors, identify areas of need for clinical service provision to foster successful completion of probation requirements, and help identify areas of potential biases among juvenile court personnel. PMID:24933176

  10. Surface Electrocardiogram Predictors of Sudden Cardiac Arrest

    PubMed Central

    Abdelghani, Samy A.; Rosenthal, Todd M.; Morin, Daniel P.

    2016-01-01

    Background: Heart disease is a major cause of death in industrialized nations, with approximately 50% of these deaths attributable to sudden cardiac arrest. If patients at high risk for sudden cardiac arrest can be identified, their odds of surviving fatal arrhythmias can be significantly improved through prophylactic implantable cardioverter defibrillator placement. This review summarizes the current knowledge pertaining to surface electrocardiogram (ECG) predictors of sudden cardiac arrest. Methods: We conducted a literature review focused on methods of predicting sudden cardiac arrest through noninvasive electrocardiographic testing. Results: Several electrocardiographic-based methods of risk stratification of sudden cardiac arrest have been studied, including QT prolongation, QRS duration, fragmented QRS complexes, early repolarization, Holter monitoring, heart rate variability, heart rate turbulence, signal-averaged ECG, T wave alternans, and T-peak to T-end. These ECG findings have shown variable effectiveness as screening tools. Conclusion: At this time, no individual ECG finding has been found to be able to adequately stratify patients with regard to risk for sudden cardiac arrest. However, one or more of these candidate surface ECG parameters may become useful components of future multifactorial risk stratification calculators.

  11. Use of postpartum care: predictors and barriers.

    PubMed

    DiBari, Jessica N; Yu, Stella M; Chao, Shin M; Lu, Michael C

    2014-01-01

    This study aimed to identify actual and perceived barriers to postpartum care among a probability sample of women who gave birth in Los Angeles County, California in 2007. Survey data from the 2007 Los Angeles Mommy and Baby (LAMB) study (N = 4,075) were used to identify predictors and barriers to postpartum care use. The LAMB study was a cross-sectional, population-based study that examined maternal and child health outcomes during the preconception, prenatal, and postpartum periods. Multivariable analyses identified low income, being separated/divorced and never married, trying hard to get pregnant or trying to prevent pregnancy, Medi-Cal insurance holders, and lack of prenatal care to be risk factors of postpartum care nonuse, while Hispanic ethnicity was protective. The most commonly reported barriers to postpartum care use were feeling fine, being too busy with the baby, having other things going on, and a lack of need. Findings from this study can inform the development of interventions targeting subgroups at risk for not obtaining postpartum care. Community education and improved access to care can further increase the acceptability of postpartum visits and contribute to improvements in women's health. Postpartum care can serve as a gateway to engage underserved populations in the continuum of women's health care. PMID:24693433

  12. Predictors of outcome of myasthenic crisis.

    PubMed

    Kalita, J; Kohat, A K; Misra, U K

    2014-07-01

    There is paucity of study on predictors of myasthenic crisis (MC), prolonged ventilation and their outcome, a reason why this study was undertaken. Sixty-four patients with myasthenia gravis (MG) were included whose median age was 45 (6-84) years. Their clinical treatment, presence of thymoma, anti-acetylcholine receptor antibody (AchRAb), thymectomy, comorbidities, offending drugs and occurrence of MC were noted. Patients needing prolonged ventilation (>15 days) were noted. Hospital mortality, MG quality of life (QOL) at discharge and thereafter annual hospital visit, admission, expenditure and work day loss were enquired. Fourteen (21.9 %) patients had MC within 1-120 (median 8.5) months of disease onset within a median follow-up of 48 (3-264) months. The precipitating factors were infection in six, surgery in five, tapering of drugs in two and reaction to iodinated contrast in one patient. Male gender, bulbar weakness, AchRAb, thymoma, surgery and comorbid illnesses were related to MC. Eight of them (57.1 %) needed prolonged ventilation. Half the patients with MC had recurrent crisis (2-4 attacks). Death was not related to MC although MC patients had worse QOL, higher annual treatment expenditure with frequent hospital visit and hospitalization. In conclusion, association of comorbid illness with MC and prolonged ventilation highlights the need of close follow-up and appropriate management.

  13. Predictors of attributional style change in children.

    PubMed

    Gibb, Brandon E; Alloy, Lauren B; Walshaw, Patricia D; Comer, Jonathan S; Shen, Gail H C; Villari, Annette G

    2006-06-01

    A number of studies have supported the hypothesis that negative attributional styles may confer vulnerability to the development of depression. The goal of this study was to explore factors that may contribute to the development of negative attributional styles in children. As hypothesized, elevated levels of depressive symptoms and hopelessness at the initial assessment predicted negative changes in children's attributional styles over the 6-month follow-up period. In addition, elevated levels of verbal victimization occurring between the 2 assessments, as well as that occurring in the 6 months preceding the initial assessment, prospectively predicted negative changes in children's attributional styles over the follow-up. Further, initial depressive symptoms and verbal victimization during the follow-up continued to significantly predict attributional style change even when the overlap among the predictors was statistically controlled. Contrary to the hypotheses, however, neither parent-reported levels of overall negative life events nor parents' attributions for their children's events predicted changes in children's attributional styles.

  14. Identification of Candidate Predictors of Lupus Flare.

    PubMed

    Crow, Mary K; Olferiev, Mikhail; Kirou, Kyriakos A

    2015-01-01

    Systemic lupus erythematosus, the prototype systemic autoimmune disease, is characterized by extensive self-reactivity, inflammation, and organ system damage. Sustained production of type I interferon is seen in many patients and contributes to immune dysregulation. Disease activity fluctuates with periods of relative quiescence or effective management by immunosuppressive drugs, followed by disease flares. Tissue damage accumulates over time, with kidneys and cardiovascular system particularly affected. Identification of the underlying molecular mechanisms that precede clinical exacerbations, allowing prediction of future flare, could lead to therapeutic interventions that prevent severe disease. We generated gene expression data from a longitudinal cohort of lupus patients, some showing at least one period of severe flare and others with relatively stable disease over the period of study. Candidate predictors of future clinical flare were identified based on analysis of differentially expressed gene transcripts between the flare and non-flare groups at a time when all patients had relatively quiescent clinical disease activity. Our results suggest the hypothesis that altered regulation of genome stability and nucleic acid fidelity may be important molecular precursors of future clinical flare, generating endogenous nucleic acid triggers that engage intracellular mechanisms that mimic a chronic host response to viral infection.

  15. Spirituality: an overlooked predictor of placebo effects?

    PubMed Central

    Kohls, Nikola; Sauer, Sebastian; Offenbächer, Martin; Giordano, James

    2011-01-01

    Empirical findings have identified spirituality as a potential health resource. Whereas older research has associated such effects with the social component of religion, newer conceptualizations propose that spiritual experiences and the intrapersonal effects that are facilitated by regular spiritual practice might be pivotal to understanding potential salutogenesis. Ongoing studies suggest that spiritual experiences and practices involve a variety of neural systems that may facilitate neural ‘top-down’ effects that are comparable if not identical to those engaged in placebo responses. As meaningfulness seems to be both a hallmark of spirituality and placebo reactions, it may be regarded as an overarching psychological concept that is important to engaging and facilitating psychophysiological mechanisms that are involved in health-related effects. Empirical evidence suggests that spirituality may under certain conditions be a predictor of placebo response and effects. Assessment of patients' spirituality and making use of various resources to accommodate patients' spiritual needs reflect our most current understanding of the physiological, psychological and socio-cultural aspects of spirituality, and may also increase the likelihood of eliciting self-healing processes. We advocate the position that a research agenda addressing responses and effects of both placebo and spirituality could therefore be (i) synergistic, (ii) valuable to each phenomenon on its own, and (iii) contributory to an extended placebo paradigm that is centred around the concept of meaningfulness. PMID:21576141

  16. Predictors of attributional style change in children.

    PubMed

    Gibb, Brandon E; Alloy, Lauren B; Walshaw, Patricia D; Comer, Jonathan S; Shen, Gail H C; Villari, Annette G

    2006-06-01

    A number of studies have supported the hypothesis that negative attributional styles may confer vulnerability to the development of depression. The goal of this study was to explore factors that may contribute to the development of negative attributional styles in children. As hypothesized, elevated levels of depressive symptoms and hopelessness at the initial assessment predicted negative changes in children's attributional styles over the 6-month follow-up period. In addition, elevated levels of verbal victimization occurring between the 2 assessments, as well as that occurring in the 6 months preceding the initial assessment, prospectively predicted negative changes in children's attributional styles over the follow-up. Further, initial depressive symptoms and verbal victimization during the follow-up continued to significantly predict attributional style change even when the overlap among the predictors was statistically controlled. Contrary to the hypotheses, however, neither parent-reported levels of overall negative life events nor parents' attributions for their children's events predicted changes in children's attributional styles. PMID:16619141

  17. Cognitive predictors of balance in Parkinson's disease.

    PubMed

    Fernandes, Ângela; Mendes, Andreia; Rocha, Nuno; Tavares, João Manuel R S

    2016-06-01

    Postural instability is one of the most incapacitating symptoms of Parkinson's disease (PD) and appears to be related to cognitive deficits. This study aims to determine the cognitive factors that can predict deficits in static and dynamic balance in individuals with PD. A sociodemographic questionnaire characterized 52 individuals with PD for this work. The Trail Making Test, Rule Shift Cards Test, and Digit Span Test assessed the executive functions. The static balance was assessed using a plantar pressure platform, and dynamic balance was based on the Timed Up and Go Test. The results were statistically analysed using SPSS Statistics software through linear regression analysis. The results show that a statistically significant model based on cognitive outcomes was able to explain the variance of motor variables. Also, the explanatory value of the model tended to increase with the addition of individual and clinical variables, although the resulting model was not statistically significant The model explained 25-29% of the variability of the Timed Up and Go Test, while for the anteroposterior displacement it was 23-34%, and for the mediolateral displacement it was 24-39%. From the findings, we conclude that the cognitive performance, especially the executive functions, is a predictor of balance deficit in individuals with PD. PMID:27147421

  18. Entrepreneurial stressors as predictors of entrepreneurial burnout.

    PubMed

    Wei, Xueyan; Cang, Shuangxin; Hisrich, Robert D

    2015-02-01

    Research on the effects of entrepreneurial stressors is limited, especially regarding its relation to the burnout that frequently occurs in the process of starting and growing a venture. The effect of the role of entrepreneurial stressors (workload, competitive comparison, demands-of-knowledge, managing responsibility, and resource requirements) on burnout (emotional exhaustion, depersonalization, and reduced personal accomplishment) was examined in a Chinese sample of entrepreneurs. Entrepreneurial stressors emerged as a significant predictor of burnout in the process of entrepreneurship in a sample of 289 entrepreneurs (63.8% men; M age = 26.2 yr.; 39.6% of their parents have been self-employed). The findings clarify the functional relationship between entrepreneurial stressors and burnout. Entrepreneurial stressors played multiple roles. Managing responsibility was an active contributor to the sense of achievement and to emotional exhaustion. Workload was an active contributor to emotional exhaustion. Demands-of-knowledge negatively affected three of the dimensions of burnout. Theoretical and practical implications for management of the effect of these relationships are discussed. PMID:25621666

  19. Entrepreneurial stressors as predictors of entrepreneurial burnout.

    PubMed

    Wei, Xueyan; Cang, Shuangxin; Hisrich, Robert D

    2015-02-01

    Research on the effects of entrepreneurial stressors is limited, especially regarding its relation to the burnout that frequently occurs in the process of starting and growing a venture. The effect of the role of entrepreneurial stressors (workload, competitive comparison, demands-of-knowledge, managing responsibility, and resource requirements) on burnout (emotional exhaustion, depersonalization, and reduced personal accomplishment) was examined in a Chinese sample of entrepreneurs. Entrepreneurial stressors emerged as a significant predictor of burnout in the process of entrepreneurship in a sample of 289 entrepreneurs (63.8% men; M age = 26.2 yr.; 39.6% of their parents have been self-employed). The findings clarify the functional relationship between entrepreneurial stressors and burnout. Entrepreneurial stressors played multiple roles. Managing responsibility was an active contributor to the sense of achievement and to emotional exhaustion. Workload was an active contributor to emotional exhaustion. Demands-of-knowledge negatively affected three of the dimensions of burnout. Theoretical and practical implications for management of the effect of these relationships are discussed.

  20. Surface Electrocardiogram Predictors of Sudden Cardiac Arrest

    PubMed Central

    Abdelghani, Samy A.; Rosenthal, Todd M.; Morin, Daniel P.

    2016-01-01

    Background: Heart disease is a major cause of death in industrialized nations, with approximately 50% of these deaths attributable to sudden cardiac arrest. If patients at high risk for sudden cardiac arrest can be identified, their odds of surviving fatal arrhythmias can be significantly improved through prophylactic implantable cardioverter defibrillator placement. This review summarizes the current knowledge pertaining to surface electrocardiogram (ECG) predictors of sudden cardiac arrest. Methods: We conducted a literature review focused on methods of predicting sudden cardiac arrest through noninvasive electrocardiographic testing. Results: Several electrocardiographic-based methods of risk stratification of sudden cardiac arrest have been studied, including QT prolongation, QRS duration, fragmented QRS complexes, early repolarization, Holter monitoring, heart rate variability, heart rate turbulence, signal-averaged ECG, T wave alternans, and T-peak to T-end. These ECG findings have shown variable effectiveness as screening tools. Conclusion: At this time, no individual ECG finding has been found to be able to adequately stratify patients with regard to risk for sudden cardiac arrest. However, one or more of these candidate surface ECG parameters may become useful components of future multifactorial risk stratification calculators. PMID:27660578

  1. Predictors of completed childhood vaccination in Bolivia

    PubMed Central

    Osetinsky, Brianna; Gaydos, Laura M; Leon, Juan S

    2015-01-01

    This project examines how access issues, ethnicity, and geographic region affect vaccination of children by two years of age in Bolivia. Bolivia’s rich variation in culture and geography results in unequal healthcare utilization even for basic interventions such as childhood vaccination. This study utilizes secondary data from the 2008 Demographic and Health Survey for Bolivia to examine predictors of vaccination completion in children by two years of age. Using logistic regression methods, we control for health system variables (difficulty getting to a health center and type of health center as well as demographic and socio-economic covariates). The results indicated that children whose parents reported distance as a problem in obtaining health care were less likely to have completed all vaccinations. Ethnicity was not independently statistically significant, however, in a sub-analysis, people from the Quechua ethnic group were more likely to report ‘distance as a problem in obtaining healthcare.’ Surprisingly, living in a rural environment has a protective effect on completed vaccinations. However, geographic region did predict significant differences in the probability that children would be fully vaccinated; children in the region with the lowest vaccination completion coverage were 80% less likely to have completed vaccination compared to children in the best performing region, which may indicate unequal access and utilization of health services nationally. Further study of regional differences, urbanicity, and distance as a healthcare access problem will help refine implications for the Bolivian health system. PMID:26609338

  2. Predictors of juveniles' noncompliance with probation requirements.

    PubMed

    NeMoyer, Amanda; Goldstein, Naomi E S; McKitten, Rhonda L; Prelic, Ana; Ebbecke, Jenna; Foster, Erika; Burkard, Casey

    2014-12-01

    Probation is the most common disposition for adjudicated youth, but little is known about which specific requirements are commonly imposed on juveniles, the requirements with which juveniles most often fail to comply, and how certain youth characteristics and/or imposed requirements might relate to probation noncompliance. An investigation of 120 archived files of youth represented by an urban public defender's office identified 29 probation requirements imposed on youth and 18 requirements with which youth commonly failed to comply. Results revealed that 52% of youth failed to comply with at least one probation requirement; prior probation noncompliance and race were both significantly associated with noncompliance in the examined probation disposition. In addition, the probability of probation noncompliance was significantly higher when youth received either of two substance-related probation requirements: drug tests or drug and alcohol counseling. Such results may prompt further investigation of juvenile probation-related predictors, identify areas of need for clinical service provision to foster successful completion of probation requirements, and help identify areas of potential biases among juvenile court personnel.

  3. Predictors of relationship power among drug-involved women.

    PubMed

    Campbell, Aimee N C; Tross, Susan; Hu, Mei-chen; Pavlicova, Martina; Nunes, Edward V

    2012-08-01

    Gender-based relationship power is frequently linked to women's capacity to reduce sexual risk behaviors. This study offers an exploration of predictors of relationship power, as measured by the multidimensional and theoretically grounded sexual relationship power scale, among women in outpatient substance abuse treatment. Linear models were used to test nine predictors (age, race/ethnicity, education, time in treatment, economic dependence, substance use, sexual concurrency, partner abuse, and sex role orientation) of relationship power among 513 women participating in a multi-site HIV risk reduction intervention study. Significant predictors of relationship control included having a non-abusive male partner, only one male partner, and endorsing traditional masculine (or both masculine and feminine) sex role attributes. Predictors of decision-making dominance were interrelated, with substance use × partner abuse and age × sex role orientation interactions. Results contribute to the understanding of factors which may influence relationship power and to their potential role in HIV sexual risk reduction interventions.

  4. Predictors of Teachers' Perceived Self-Competence in Classroom Management.

    ERIC Educational Resources Information Center

    Safran, Stephen P.; And Others

    1990-01-01

    Examined predictors of teachers' (N=182) management beliefs (the degree to which teachers believe they can personally manage a behavior). Found variables relating to greatest number of dependent measures were student academic achievement and socioeconomic status. (Author/ABL)

  5. Predictors of bone loss in revision total knee arthroplasty.

    PubMed

    Bloomfield, Michael R; Klika, Alison K; Lee, Ho H; Joyce, David M; Mehta, Priyesh; Barsoum, Wael K

    2010-03-01

    Revision total knee arthroplasty (RTKA) requires preoperative planning to enable the reconstruction of bony deficiencies. The objective of this project was to identify predictors of bone loss management at RTKA based on the preoperative failure mode and patient demographics known preoperatively. We retrospectively reviewed 245 consecutive RTKA procedures in which the same revision knee system was utilized. Patient demographic and treatment data were recorded, and locations of bone loss were identified based on the reconstructive management. We identified significant predictors for use of femoral augments at all four positions. Several predictors significantly predisposed to use of a thick (>19 mm) polyethylene; however, no predictors of tibial augments were significant. Although the reconstruction of bone loss is primarily based on the intraoperative assessment, these findings may provide additional information to help the surgeon prepare for difficult revision procedures. PMID:20812582

  6. Clinical predictors of therapeutic response to antipsychotics in schizophrenia.

    PubMed

    Carbon, Maren; Correll, Christoph U

    2014-12-01

    The search for clinical outcome predictors for schizophrenia is as old as the field of psychiatry. However, despite a wealth of large, longitudinal studies into prognostic factors, only very few clinically useful outcome predictors have been identified. The goal of future treatment is to either affect modifiable risk factors, or use nonmodifiable factors to parse patients into therapeutically meaningful subgroups. Most clinical outcome predictors are nonspecific and/or nonmodifiable. Nonmodifiable predictors for poor odds of remission include male sex, younger age at disease onset, poor premorbid adjustment, and severe baseline psychopathology. Modifiable risk factors for poor therapeutic outcomes that clinicians can act upon include longer duration of untreated illness, nonadherence to antipsychotics, comorbidities (especially substance-use disorders), lack of early antipsychotic response, and lack of improvement with non-clozapine antipsychotics, predicting clozapine response. It is hoped that this limited capacity for prediction will improve as pathophysiological understanding increases and/or new treatments for specific aspects of schizophrenia become available.

  7. Candidate Valence as a Predictor of Voter Preference.

    ERIC Educational Resources Information Center

    Andersen, Peter A.; Kibler, Robert J.

    1978-01-01

    Studies the effects of source valence, including source credibility, attraction, and homophyly, on voter preference in a Florida Democratic primary election campaign. Indicates that attitude homophyly is an excellent predictor of voter preference. (JMF)

  8. Predictors of Treatment Response in Pediatric Obsessive-Compulsive Disorder

    ERIC Educational Resources Information Center

    Ginsburg, Golda S.; Kingery, Julie Newman; Drake, Kelly L.; Grados, Marco A.

    2008-01-01

    The study examines predictors of treatment response in pediatric obsessive-compulsive disorder, which is a severe mental illness causing distress and impaired functioning. Summarized findings of psychosocial factors and medication interventions are presented.

  9. COSPAS-SARSAT Satellite Orbit Predictor. Volume 3

    NASA Technical Reports Server (NTRS)

    Friedman, Morton L.; Garrett, James

    1984-01-01

    The satellite orbit predictor is a graphical aid for determining the relationship between the satellite (SARSAT or COSPAS) orbit, antenna coverage of the spacecraft and coverage of the LUTs. The predictor allows the user to quickly visualize if a selected position will probably be detected and is composed of a base map and a satellite track overlay for each satellite. Additionally, a table of equator crossings for each satellite is included.

  10. COSPAS-SARSAT Satellite Orbit Predictor, Vol 4

    NASA Technical Reports Server (NTRS)

    Friedman, Morton L.; Garrett, James, Major

    1984-01-01

    The satellite orbit predictor is a graphical aid for determining the relationship between the satellite (SARSAT or COSPAS) orbit, antenna coverage of the spacecraft and coverage of the LUTs. The predictor allows the user to quickly visualize if a selected position will probably be detected and is composed of a base map and a satellite track overlay for each satellite. Additionally, a table of equator crossings for each satellite is included.

  11. Learning phenotype densities conditional on many interacting predictors

    PubMed Central

    Kessler, David C.; Taylor, Jack A.; Dunson, David B.

    2014-01-01

    Motivation: Estimating a phenotype distribution conditional on a set of discrete-valued predictors is a commonly encountered task. For example, interest may be in how the density of a quantitative trait varies with single nucleotide polymorphisms and patient characteristics. The subset of important predictors is not usually known in advance. This becomes more challenging with a high-dimensional predictor set when there is the possibility of interaction. Results: We demonstrate a novel non-parametric Bayes method based on a tensor factorization of predictor-dependent weights for Gaussian kernels. The method uses multistage predictor selection for dimension reduction, providing succinct models for the phenotype distribution. The resulting conditional density morphs flexibly with the selected predictors. In a simulation study and an application to molecular epidemiology data, we demonstrate advantages over commonly used methods. Availability and implementation: MATLAB code available at https://googledrive.com/host/0Bw6KIFB-k4IOOWQ0dFJtSVZxNE0/ktdctf.html Contact: dave.kessler@gmail.com PMID:24501099

  12. Establishing predictors for successfully planned endotracheal extubation

    PubMed Central

    Lai, Chih-Cheng; Chen, Chin-Ming; Chiang, Shyh-Ren; Liu, Wei-Lun; Weng, Shih-Feng; Sung, Mei-I; Hsing, Shu-Chen; Cheng, Kuo-Chen

    2016-01-01

    Abstract The aim of this study was to establish predictors for successfully planned extubation, which can be followed by medical personnel. The patients who were admitted to the adult intensive care unit of a tertiary hospital and met the following criteria between January 2005 and December 2014 were collected retrospectively: intubation > 48 hours; and candidate for extubation. The patient characteristics, including disease severity, rapid shallow breath index (RSBI), maximal inspiratory pressure (MIP), maximal expiratory pressure (MEP), cuff leak test (CLT) before extubation, and outcome, were recorded. The CLT was classified as 2+ with audible flow without a stethoscope, 1+ with audible flow using a stethoscope, and negative (N) with no audible flow, even with a stethoscope. Failure to extubate was defined as reintubation within 48 hours. In total, 6583 patients were enrolled and 403 patients (6.1%) had extubation failures. Male patients dominated the patient cohort (4261 [64.7%]). The mean age was 64.5±16.3 years. The overall in-hospital mortality rate was 11.3%. The extubation failure rate for females was greater than males (7.7% vs 5.3%, P < 0.001). The group of patients who failed extubation were older (66.7 ± 14.4 vs 64.3 ± 16.4, P = 0.002), had higher APACHE II scores (16.8 ± 7.6 vs 15.9 ± 7.8, P = 0.023), lower coma scales (10.3 ± 3.7 vs 10.8 ± 3.7, P = 0.07), a higher RSBI (69.9 ± 37.3 vs 58.6 ± 30.3, P < 0.001), a lower MIP, and MEP (−35.6 ± 15.3 vs −37.8 ± 14.6, P = 0.0001 and 49.6 ± 28.4 vs 58.6 ± 30.2, P < 0.001, respectively), and a higher mortality rate (25.6% vs 10.5%, P < 0.001) compared to the successful extubation group. Based on multivariate logistic regression, a CLT of 2+ (odds ratio [OR] = 2.07, P < 0.001), a MEP ≥ 55 cmH2O (OR = 1.73, P < 0.001), and a RSBI < 68 breath/min/ml (OR = 1.57, P < 0.001) were independent predictors for

  13. Final Report, Distillation Column Flooding Predictor

    SciTech Connect

    George E. Dzyacky

    2003-05-31

    The Flooding Predictor is an advanced process control strategy comprising a patented pattern-recognition methodology that identifies pre-flood patterns discovered to precede flooding events in distillation columns. The grantee holds a U.S. patent on the modeling system. The technology was validated at the Separations Research Program, The University of Texas at Austin under a grant from the U. S. Department of Energy, Inventions & Innovation Program. Distillation tower flooding occurs at abnormally high vapor and/or liquid rates. The loss in tray efficiencies is attributed to unusual behavior of liquid inventories inside the column leading to conditions of flooding of the space in between trays with liquid. Depending on the severity of the flood condition, consequences range from off spec products to equipment damage and tower shutdown. This non-intrusive pattern recognition methodology, processes signal data obtained from existing column instrumentation. Once the pattern is identified empirically, it is modeled and coded into the plant's distributed control system. The control system is programmed to briefly "unload" the tower each time the pattern appears. The unloading takes the form of a momentary reduction in column severity, e.g., decrease bottom temperature, reflux or tower throughput. Unloading the tower briefly at the pre-flood state causes long-term column operation to become significantly more stable - allowing an increase in throughput and/or product purity. The technology provides a wide range of value between optimization and flooding. When a distillation column is not running at capacity, it should be run in such a way ("pushed") that optimal product purity is achieved. Additional benefits include low implementation and maintenance costs, and a high level of console operator acceptance. The previous commercial applications experienced 98% uptime over a four-year period. Further, the technology is unique in its ability to distinguish between different

  14. Ayurvedic Doshas as Predictors of Sleep Quality

    PubMed Central

    Telles, Shirley; Pathak, Shivangi; Kumar, Ankur; Mishra, Prabhat; Balkrishna, Acharya

    2015-01-01

    Background The 3 Ayurvedic constitutional types or Doshas – vata, pitta, and kapha – are responsible for homeostasis and health. The doshas determine various functions, including sleep. According to the Ayurvedic texts, sleep is caused by increased kapha and insomnia by increased vata or pitta, which may follow physical or mental exertion, or disease. The present study was carried out to determine whether this relationship could be found using contemporary standardized questionnaires. Material/Methods In this cross-sectional single-group study, 995 persons participated (646 males; group average age ±S.D., 49.1±15.2 years). Participants were attending a 1-week residential yoga program in northern India. Participants were assessed for dosha scores using a Tridosha questionnaire and the quality of sleep in the preceding week was self-rated using a sleep rating questionnaire. Results Multiple linear regression analyses were used to determine if each dosha acted as a predictor of quality and quantity of sleep. Vata scores significantly predicted the time taken to fall asleep [p<0.01], and the feeling of being rested in the morning [p<0.001]; with higher vata scores being associated with a longer time to fall asleep and a lesser feeling of being rested in the morning. Kapha scores significantly predicted day-time somnolence [p<0.05] and the duration of day-time naps in minutes [p<0.05], with higher kapha scores being associated with longer day-time naps. Conclusions The results suggest that the doshas can influence the quality and quantity of sleep. PMID:25982247

  15. Predictors of selenium concentration in human toenails.

    PubMed

    Hunter, D J; Morris, J S; Chute, C G; Kushner, E; Colditz, G A; Stampfer, M J; Speizer, F E; Willett, W C

    1990-07-01

    To assess the validity of the selenium concentration in human toenails as a measure of selenium intake and to determine other correlates of toenail selenium level, the authors examined the predictors of toenail selenium within two subgroups of a large cohort study of US women. Mean toenail selenium was higher among 38 consumers of selenium supplements (0.904 micrograms/g, standard deviation (SD) 0.217) than among 96 nonusers (0.748 micrograms/g, SD 0.149; p less than 0.001), and a dose-response relation was observed among supplement users (Spearman's r = 0.32; p = 0.05). In a second subgroup of 677 women, selenium supplement use was also associated with higher mean toenail selenium (0.906 micrograms/g, SD 0.214, among 18 users and 0.801 micrograms/g, SD 0.148, among 659 nonusers; p = 0.02), and the dose-response relation was also significant (Spearman's r = 0.50; p = 0.03). The geographic variation in toenail selenium levels was consistent with the geographic distribution of selenium in forage crops. Toenail selenium declined with age and was significantly reduced among cigarette smokers (mean = 0.746, SD 0.124, among 146 current smokers and mean = 0.817, SD 0.159, among 311 never smokers; p less than 0.001) but was not materially affected by alcohol consumption. A dietary selenium score calculated from a food frequency questionnaire failed to predict toenail selenium level, demonstrating the suspected inability of diet questionnaires to measure individual selenium intake because of the highly variable selenium composition of different samples of the same food.(ABSTRACT TRUNCATED AT 250 WORDS)

  16. Mortality in Schizophrenia: Clinical and Serological Predictors

    PubMed Central

    Dickerson, Faith; Stallings, Cassie; Origoni, Andrea; Schroeder, Jennifer; Khushalani, Sunil; Yolken, Robert

    2014-01-01

    Persons with schizophrenia have a reduced life expectancy largely due to death from natural causes. Factors that have been previously associated with excess mortality include cigarette smoking and antipsychotic medication. The role of other environmental factors such as exposure to infectious agents has been the subject of only limited investigation. We prospectively assessed a cohort of persons with schizophrenia with a clinical evaluation and a blood sample from which antibodies to human herpes viruses and Toxoplasma gondii were measured. Mortality was determined with data from the National Death Index following a period of up to 11 years. We examined the role of demographic, serological, and clinical factors on mortality. A total of 25 (5%) of 517 persons died of natural causes. The standardized mortality ratio was 2.80 (95% CI 0.89, 6.38). After adjusting for age and gender, mortality from natural causes was predicted in separate models by cigarette smoking (relative risk [RR] = 4.66, P = .0029); lower cognitive score (RR = 0.96, P = .013); level of antibodies to Epstein–Barr virus (RR = 1.22, P = .0041) and to Herpes Simplex virus type 1 (RR = 1.19, P = .030); immunologic disease (RR = 3.14, P = .044); and genitourinary disease (RR = 2.70; P = .035). Because cigarette smoking confers an almost 5-fold risk of mortality, smoking cessation is an urgent priority. Having an elevated level of antibodies to Epstein–Barr virus and to Herpes Simplex virus type 1 are also significant predictors of death from natural causes. PMID:23943410

  17. Prospective Predictors of Patellofemoral Pain Syndrome

    PubMed Central

    Pappas, Evangelos; Wong-Tom, Wing M.

    2012-01-01

    Context: Patellofemoral pain syndrome (PFPS) is one of the most common overuse injuries. Objective: To assess the collective evidence of predisposing factors to PFPS. Data Sources: MEDLINE (1960–June 2010), EMBASE (1980–June 2010), and CINAHL (1982–June 2010). Study Selection: Studies were included if patients were asymptomatic at baseline testing (free of PFPS) and were prospectively followed for the development of the disorder. Only studies that assessed at least 1 variable that can be measured at a typical clinic were included. After duplicates were removed, 973 studies were assessed from their titles or abstracts, 20 from the full text, and from these, 7 met the inclusion criteria. Data Extraction: Data were extracted for age, weight, height, sample size, patient type (military vs civilian), follow-up periods, diagnostic methods, and diagnostic criteria. Means and standard deviations were extracted for all outcome variables. Results: Meta-analyses were performed for height, weight, leanness, Q angle, number of sit-ups, knee extension strength, and peak knee valgus angle during landing. Lower knee extension strength was the only variable that was predictive of PFPS (P < 0.01). Other variables that were identified as predictive of PFPS by single studies were vertical jump, push-ups, knee flexion and hip abduction strength, thumb-to-forearm flexibility, quadriceps and gastrocnemius flexibility, genu varum, navicular drop, knee valgus moment at initial contact during landing, social support, and palliative reaction. Conclusions: It appears that anthropometric variables are not associated with PFPS, while knee extension strength deficits appear to be predictors of PFPS. PMID:23016077

  18. Predictors of occupancy trend across spatial scale.

    PubMed

    Patten, Michael A; Smith-Patten, Brenda D

    2011-12-01

    Many explorations of extinction probability have had a global focus, yet it is unclear whether variables that explain the probability of extinction at large spatial extents are the same as those at small spatial extents. Thus, we used nearly annual presence-absence records for the most recent 40 years of a 110-year data set from Palenque, Mexico, an area with ongoing deforestation, to explore which of >200 species of birds have probabilities of extirpation that are likely to increase. We assessed associations between long-term trends in species presence (i.e., detection in a given year) and body size, geographic range size, diet, dependence on forest cover, taxonomy, and ecological specialization. Our response variable was the estimated slope of a weighted logistic regression for each species. We assessed the relative strength of each predictor by means of a model ranking scheme. Several variables associated with high extinction probability at global extents, such as large body size or small geographic range size, were not associated with occurrence of birds over time at our site. Body size was associated with species loss at Palenque, but occurrence trends of both very large and very small species, particularly the latter, have declined, or the species have been extirpated. We found no association between declining occurrence trend and geographic range size, yet decline correlated with whether a species depends on forest (mean occupancy trend =-0.0380, 0.0263, and 0.0186 for, respectively, species with high, intermediate, or low dependence on forest) and with complex combinations of diet and foraging strata (e.g., occurrence of canopy insectivores and terrestrial omnivores has increased, whereas occurrence of mid-level frugivores and terrestrial granivores has decreased). Our findings emphasize that analyses of local areas are necessary to explicate extirpation risk at various spatial extents.

  19. Therapeutic hypothermia after cardiac arrest: outcome predictors

    PubMed Central

    Leão, Rodrigo Nazário; Ávila, Paulo; Cavaco, Raquel; Germano, Nuno; Bento, Luís

    2015-01-01

    Objective The determination of coma patient prognosis after cardiac arrest has clinical, ethical and social implications. Neurological examination, imaging and biochemical markers are helpful tools accepted as reliable in predicting recovery. With the advent of therapeutic hypothermia, these data need to be reconfirmed. In this study, we attempted to determine the validity of different markers, which can be used in the detection of patients with poor prognosis under hypothermia. Methods Data from adult patients admitted to our intensive care unit for a hypothermia protocol after cardiac arrest were recorded prospectively to generate a descriptive and analytical study analyzing the relationship between clinical, neurophysiological, imaging and biochemical parameters with 6-month outcomes defined according to the Cerebral Performance Categories scale (good 1-2, poor 3-5). Neuron-specific enolase was collected at 72 hours. Imaging and neurophysiologic exams were carried out in the 24 hours after the rewarming period. Results Sixty-seven patients were included in the study, of which 12 had good neurological outcomes. Ventricular fibrillation and electroencephalographic theta activity were associated with increased likelihood of survival and improved neurological outcomes. Patients who had more rapid cooling (mean time of 163 versus 312 minutes), hypoxic-ischemic brain injury on magnetic resonance imaging or neuron-specific enolase > 58ng/mL had poor neurological outcomes (p < 0.05). Conclusion Hypoxic-ischemic brain injury on magnetic resonance imaging and neuron-specific enolase were strong predictors of poor neurological outcomes. Although there is the belief that early achievement of target temperature improves neurological prognoses, in our study, there were increased mortality and worse neurological outcomes with earlier target-temperature achievement. PMID:26761469

  20. Predictors of basic infantry training success.

    PubMed

    Snoddy, R O; Henderson, J M

    1994-09-01

    Because of shrinking resources, the United States military will be forced to carry out its mission in the future with maximum efficiency. Medical problems reduce the efficiency of the training of soldiers. Our project documents the medical problems that occurred in infantry basic trainees and tests easily obtainable information for its ability to predict the impact of medical problems on each trainee. The study involved 649 trainees undergoing a 13-week cycle of basic and advanced infantry training in one of three companies at the United States Army Infantry Training Center, Fort Benning, Georgia. The most common reason for sick call attendance among this group of trainees was upper respiratory infection. While medical illnesses were frequently seen, they did not cause a great deal of lost training time. Training injuries such as foot and lower leg overuse syndromes and patellofemoral knee pain were the primary causes of time lost. The average trainee made 1.58 +/- 1.61 visits to sick call during the cycle, with a total of 4.53 +/- 8.49 days of training time limited by profile. However, many trainees made no sick call visits and the majority of trainees lost no time due to medical problems. The strongest predictors of medical impact on training were a history of cigarette smoking and the initial performance of the trainee on the three events of the Army Physical Fitness Test. Based on the results of this study, we recommend that the military consider cigarette smoking as a negative factor in the selection of recruits and consider that recruits be required to meet some standard of fitness prior to induction.

  1. Psychosocial predictors of treatment outcome for trauma-affected refugees

    PubMed Central

    Sonne, Charlotte; Carlsson, Jessica; Bech, Per; Vindbjerg, Erik; Mortensen, Erik Lykke; Elklit, Ask

    2016-01-01

    Background The effects of treatment in trials with trauma-affected refugees vary considerably not only between studies but also between patients within a single study. However, we know little about why some patients benefit more from treatment, as few studies have analysed predictors of treatment outcome. Objective The objective of the study was to examine possible psychosocial predictors of treatment outcome for trauma-affected refugees. Method The participants were 195 adult refugees with posttraumatic stress disorder (PTSD) who were enrolled in a 6- to 7-month treatment programme at the Competence Centre for Transcultural Psychiatry (CTP), Denmark. The CTP Predictor Index used in the study included 15 different possible outcome predictors concerning the patients’ past, chronicity of mental health problems, pain, treatment motivation, prerequisites for engaging in psychotherapy, and social situation. The primary outcome measure was PTSD symptoms measured on the Harvard Trauma Questionnaire (HTQ). Other outcome measures included the Hopkins Symptom Check List-25, the WHO-5 Well-being Index, Sheehan Disability Scale, Hamilton Depression and Anxiety Scales, the somatisation scale of the Symptoms Checklist-90, Global Assessment of Functioning scales, and pain rated on visual analogue scales. The relations between treatment outcomes and the total score as well as subscores of the CTP Predictor Index were analysed. Results Overall, the total score of the CTP Predictor Index was significantly correlated to pre- to post treatment score changes on the majority of the ratings mentioned above. While employment status was the only single item significantly correlated to HTQ-score changes, a number of single items from the CTP Predictor Index correlated significantly with changes in depression and anxiety symptoms, but the size of the correlation coefficients were modest. Conclusions The total score of the CTP Predictor Index correlated significantly with outcomes on most

  2. Predictors of trips to food destinations

    PubMed Central

    2012-01-01

    Background Food environment studies have focused on ethnic and income disparities in food access. Few studies have investigated distance travelled for food and did not aim to inform the geographic scales at which to study the relationship between food environments and obesity. Further, studies have not considered neighborhood design as a predictor of food purchasing behavior. Methods Atlanta residents (N = 4800) who completed a travel diary and reported purchasing or consuming food at one of five food locations were included in the analyses. A total of 11,995 food-related trips were reported. Using mixed modeling to adjust for clustering of trips by participants and households, person-level variables (e.g. demographics), neighborhood-level urban form measures, created in GIS, and trip characteristics (e.g. time of day, origin and destination) were investigated as correlates of distance travelled for food and frequency of grocery store and fast food outlet trips. Results Mean travel distance for food ranged from 4.5 miles for coffee shops to 6.3 miles for superstores. Type of store, urban form, type of tour, day of the week and ethnicity were all significantly related to distance travelled for food. Origin and destination environment, type of tour, day of week, age, gender, income, ethnicity, vehicle access and obesity status were all significantly related to visiting a grocery store. Home neighborhood environment, day of week, type of tour, gender, income, education level, age, and obesity status were all significantly related to likelihood of visiting a fastfood outlet. Conclusions The present study demonstrated that people travel sizeable distances for food and this distance is related to urban. Results suggest that researchers need to employ different methods to characterize food environments than have been used to assess urban form in studies of physical activity. Food is most often purchased while traveling from locations other than home, so future studies

  3. Predictor symbology in computer-generated pictorial displays

    NASA Technical Reports Server (NTRS)

    Grunwald, A. J.

    1981-01-01

    The display under investigation, is a tunnel display for the four-dimensional commercial aircraft approach-to-landing under instrument flight rules. It is investigated whether more complex predictive information such as a three-dimensional perspective vehicle symbol, predicting the future vehicle position as well as future vehicle attitude angles, contributes to a better system response, and suitable predictor laws for the predictor motions, are formulated. Methods for utilizing the predictor symbol in controlling the forward velocity of the aircraft in four-dimensional approaches, are investigated. The simulator tests show, that the complex perspective vehicle symbol yields improved damping in the lateral response as compared to a flat two-dimensional predictor cross, but yields generally larger vertical deviations. Methods of using the predictor symbol in controlling the forward velocity of the vehicle are shown to be effective. The tunnel display with superimposed perspective vehicle symbol yields very satisfactory results and pilot acceptance in the lateral control but is found to be unsatisfactory in the vertical control, as a result of too large vertical path-angle deviations.

  4. A method for finding the optimal predictor indices for local wave climate conditions

    NASA Astrophysics Data System (ADS)

    Camus, Paula; Méndez, Fernando J.; Losada, Inigo J.; Menéndez, Melisa; Espejo, Antonio; Pérez, Jorge; Rueda, Ana; Guanche, Yanira

    2014-07-01

    In this study, a method to obtain local wave predictor indices that take into account the wave generation process is described and applied to several locations. The method is based on a statistical model that relates significant wave height with an atmospheric predictor, defined by sea level pressure fields. The predictor is composed of a local and a regional part, representing the sea and the swell wave components, respectively. The spatial domain of the predictor is determined using the Evaluation of Source and Travel-time of wave Energy reaching a Local Area (ESTELA) method. The regional component of the predictor includes the recent historical atmospheric conditions responsible for the swell wave component at the target point. The regional predictor component has a historical temporal coverage ( n-days) different to the local predictor component (daily coverage). Principal component analysis is applied to the daily predictor in order to detect the dominant variability patterns and their temporal coefficients. Multivariate regression model, fitted at daily scale for different n-days of the regional predictor, determines the optimum historical coverage. The monthly wave predictor indices are selected applying a regression model using the monthly values of the principal components of the daily predictor, with the optimum temporal coverage for the regional predictor. The daily predictor can be used in wave climate projections, while the monthly predictor can help to understand wave climate variability or long-term coastal morphodynamic anomalies.

  5. Slowing Down: Age-Related Neurobiological Predictors of Processing Speed

    PubMed Central

    Eckert, Mark A.

    2011-01-01

    Processing speed, or the rate at which tasks can be performed, is a robust predictor of age-related cognitive decline and an indicator of independence among older adults. This review examines evidence for neurobiological predictors of age-related changes in processing speed, which is guided in part by our source based morphometry findings that unique patterns of frontal and cerebellar gray matter predict age-related variation in processing speed. These results, together with the extant literature on morphological predictors of age-related changes in processing speed, suggest that specific neural systems undergo declines and as a result slow processing speed. Future studies of processing speed – dependent neural systems will be important for identifying the etiologies for processing speed change and the development of interventions that mitigate gradual age-related declines in cognitive functioning and enhance healthy cognitive aging. PMID:21441995

  6. Exploring the Predictors of Organizational Preparedness for Natural Disasters.

    PubMed

    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.

  7. Predictors of Childhood Anxiety: A Population-Based Cohort Study

    PubMed Central

    2015-01-01

    Background Few studies have explored predictors of early childhood anxiety. Objective To determine the prenatal, postnatal, and early life predictors of childhood anxiety by age 5. Methods Population-based, provincial administrative data (N = 19,316) from Manitoba, Canada were used to determine the association between demographic, obstetrical, psychosocial, medical, behavioral, and infant factors on childhood anxiety. Results Risk factors for childhood anxiety by age 5 included maternal psychological distress from birth to 12 months and 13 months to 5 years post-delivery and an infant 5-minute Apgar score of ≤7. Factors associated with decreased risk included maternal age < 20 years, multiparity, and preterm birth. Conclusion Identifying predictors of childhood anxiety is a key step to early detection and prevention. Maternal psychological distress is an early, modifiable risk factor. Future research should aim to disentangle early life influences on childhood anxiety occurring in the prenatal, postnatal, and early childhood periods. PMID:26158268

  8. Nativity and Health Disparities: Predictors of Immigrant Health.

    PubMed

    Danso, Kofi

    2016-01-01

    This study examines the differences in the social determinants of health and chronic health conditions of immigrants and nonimmigrants. The logistic regression results indicate that employment, education, poverty, residential status, and neighborhood safety have strong influence on the health of immigrants and native-born Americans; however, gender and place of residence are significant to only nonimmigrant health. For chronic health conditions, age and employment status are significant predictors for immigrants whereas race/ethnicity, age, gender, insurance coverage, and education are important predictors of chronic health conditions among nonimmigrants. Neighborhood safety, English proficiency, and marital status were not significant determinants of the health conditions of both subgroups. The study points to the importance of education, poverty/income, and neighborhood safety as essential determinants of immigrant and nonimmigrant health. However, there are variations in the health predictors for each group. PMID:26963922

  9. Verification of eye and skin color predictors in various populations.

    PubMed

    Pneuman, Amanda; Budimlija, Zoran M; Caragine, Theresa; Prinz, Mechthild; Wurmbach, Elisa

    2012-03-01

    Validation of testing methods is an essential feature in all scientific endeavors, but it is particularly important in forensics. Due to the sensitive nature of these investigations and the limited sample size it is crucial to validate all employed procedures. This includes novel forensic phenotypic DNA tests, to learn more of their capabilities and limitations before incorporating them as routine methods. Ideally, validations are performed on large sample sets that mimic real cases. Recently, three phenotypic predictors, two for eye colors and one for skin color have been published (Spichenok et al., 2011; Walsh et al., 2011). These predictors are well-defined by a selection of single nucleotide polymorphisms (SNPs) and unambiguous instructions on how to interpret the genotypes. These standardized approaches have the advantages that they can be applied in diverse laboratories leading to the same outcome and offer the opportunity for validation. For these tests to be used on the characterization of human remains, they should be validated on various populations to perform reliably without prior knowledge of ethnic origin. Here, in this study, these eye and skin color predictors were validated on new sample sets and it could be confirmed that they can be applied in various populations, including African-American, South Asian (dark), East Asian (light), European, and mixed populations. The outputs were either predictive or inconclusive. Predictions were then compared against the actual eye and skin colors of the tested individuals. The error-rates varied; they were low for the predictors that describe the eye and skin color exclusively (non-brown or non-blue and non-white or non-dark, respectively) and higher for the predictor that describes individual eye colors (blue, brown, and intermediate/green), because of uncertainties with the green eye color prediction. Our investigation deepens the insight for these predictors and adds new information.

  10. Corticosteroid therapy in ulcerative colitis: Clinical response and predictors

    PubMed Central

    Li, Jin; Wang, Fan; Zhang, Hong-Jie; Sheng, Jian-Qiu; Yan, Wen-Feng; Ma, Min-Xing; Fan, Ru-Ying; Gu, Fang; Li, Chuan-Feng; Chen, Da-Fan; Zheng, Ping; Gu, Yu-Pei; Cao, Qian; Yang, Hong; Qian, Jia-Ming; Hu, Pin-Jin; Xia, Bing

    2015-01-01

    AIM: To evaluate clinical response to initial corticosteroid (CS) treatment in Chinese ulcerative colitis patients (UC) and identify predictors of clinical response. METHODS: Four hundred and twenty-three UC patients who were initially treated with oral or intravenous CS from 2007 to 2011 were retrospectively reviewed at eight inflammatory bowel disease centers in China, and 101 consecutive cases with one-year follow-up were analyzed further for clinical response and predictors. Short-term outcomes within one month were classified as primary response and primary non-response. Long-term outcomes within one year were classified as prolonged CS response, CS dependence and secondary non-response. CS refractoriness included primary and secondary non-response. Multivariate analyses were performed to identify predictors associated with clinical response. RESULTS: Within one month, 95.0% and 5.0% of the cases were classified into primary response and non-response, respectively. Within one year, 41.6% of cases were assessed as prolonged CS response, while 49.5% as CS dependence and 4.0% as secondary non-response. The rate of CS refractoriness was 8.9%, while the cumulative rate of surgery was 6.9% within one year. After multivariate analysis of all the variables, tenesmus was found to be a negative predictor of CS dependence (OR = 0.336; 95%CI: 0.147-0.768; P = 0.013) and weight loss as a predictor of CS refractoriness (OR = 5.662; 95%CI: 1.111-28.857; P = 0.040). After one-month treatment, sustained high Sutherland score (≥ 6) also predicted CS dependence (OR = 2.347; 95%CI: 0.935-5.890; P = 0.014). CONCLUSION: Tenesmus was a negative predictor of CS dependence, while weight loss and sustained high Sutherland score were strongly associated with poor CS response. PMID:25780299

  11. Sex differences in predictors of ischemic stroke: current perspectives

    PubMed Central

    Samai, Alyana A; Martin-Schild, Sheryl

    2015-01-01

    Globally, stroke is a significant public health concern affecting more than 33 million individuals. Of growing importance are the differences between males and females in the predictors and overall risk of stroke. Given that women have a higher lifetime risk for stoke and account for more than half of all stroke deaths, sex-specific stroke risk factors merit investigation and may help target public health interventions. This review aims to discuss the current body of knowledge regarding sex-specific predictors of ischemic stroke including both modifiable and non-modifiable risk factors, as well as specific pathologies known to increase stroke risk. PMID:26251609

  12. Organized music instruction as a predictor of nursing student success.

    PubMed

    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.

  13. Can we automatically extract predictors from observational data?

    NASA Astrophysics Data System (ADS)

    Huang, Xin; Wang, Huaning

    2016-07-01

    Many statistical and machine learning methods have been used to build solar flare forecasting model. These methods rely on physical characteristics of an active region, for example, morphological classification of sunspots and magnetic field parameters of an active region. However, these predictors are correlated with each other and have limited forecasting ability. Here, we present a method which can automatically extract predictors and build a solar flare forecasting model from observational data. Comparing with the conventional model, we obtain the better forecasting performances in our testing dataset.

  14. Use of ARMA predictors in the differential encoding of images

    NASA Astrophysics Data System (ADS)

    Sayood, Khalid; Schekall, Stanley M.

    1988-11-01

    Differential pulse code modulation (DPCM) has long been a popular method of data compression for speech. It has not been as popular for images, partly because of its poor edge performance. This is true even for adaptive DPCM (ADPCM). Gibson (1980) provides a clue to the reason for this shortcoming. This analysis is used to motivate the design of backward adaptive ARMA predictors for use in differential encoding of images. Simulations using these predictors validate the approach, as these systems show significant objective gains as well as noticeable subjective improvements in the edge performance. An added advantage to using this approach is the improvement in noisy-channel performance.

  15. Educational Research in Educational Practice: Predictors of Use

    ERIC Educational Resources Information Center

    Lysenko, Larysa V.; Abrami, Philip C.; Dagenais, Christian; Janosz, Michel

    2014-01-01

    This study investigates the predictors of school practitioners' (N = 2,425) use of educational research. The suggested model explained significantly but modestly the infrequent use of educational research by practitioners. Of the four factors in the study, "opinions about research" had the most explanatory power. The results are…

  16. Predictors for the development of temporomandibular disorders in scuba divers.

    PubMed

    Lobbezoo, F; van Wijk, A J; Klingler, M C; Ruiz Vicente, E; van Dijk, C J; Eijkman, M A J

    2014-08-01

    The aim was to determine predictors for the development of complaints of temporomandibular disorders (TMD) in a large sample of Dutch scuba divers who were free of any TMD complaints before they started diving actively. Five-hundred and thirty-six scuba divers (mean ± SD age = 40.4 ± 11.9 years; 34.1% women) completed a specifically developed questionnaire, either online or on paper. Stepwise forward logistic regression analysis was performed to predict the presence of TMD pain, with several potential risk factors as predictors. Four hundred and eighty-five of the 536 respondents were free of any TMD pain before they started diving actively. In this sample, TMD pain was present in 214 persons (44.1%). Four predictors contributed significantly to the presence of TMD pain, viz., clenching (OR = 2.466), warm water (OR = 1.685), biting on the mouthpiece (OR = 1.598), and the quality rating of the mouthpiece (OR = 0.887, that is, a higher rating means a smaller odds of having TMD pain). TMD pain is a common complaint among scuba divers who were free of such complaints before they started diving actively. Clenching, biting on the mouthpiece, and a low rating of the mouthpiece are predictors for the presence of TMD pain in scuba divers, while diving in cold water serves as a protective factor for TMD pain.

  17. Predictor Implementation School/District Self-Assessment

    ERIC Educational Resources Information Center

    National Post-School Outcomes Center, 2013

    2013-01-01

    The checklist provided here is intended to provide schools, districts, or other stakeholders in secondary transition with a framework for determining the degree to which their program is implementing practices that are likely to lead to more positive post-school outcomes for students with disabilities. The predictor categories listed have been…

  18. Empirical Investigation of Predictors of Success in an MBA Programme

    ERIC Educational Resources Information Center

    Gupta, Atul; Turek, Joseph

    2015-01-01

    Purpose: The twofold purpose of this study was to determine if selected variables were predictors of: student performance in the MBA programme; and student performance on the MBA MFT exam. Design/methodology/approach: This study focuses on MBA graduates at a US university who have successfully completed the entire programme requirements. Real…

  19. Predictors of First-Year Retention in a Community College

    ERIC Educational Resources Information Center

    Mertes, Scott J.; Hoover, Richard E.

    2014-01-01

    Retention is a complex issue of great importance to community colleges. Several retention models have been developed to help explain this phenomenon. However, these models typically have used four-year college and university environments to build their foundations. Several researchers have attempted to identify predictor variables using…

  20. Clinical, laboratorial and radiographic predictors of Bordetella pertussis infection☆

    PubMed Central

    Bellettini, Camila Vieira; de Oliveira, Andressa Welter; Tusset, Cintia; Baethgen, Ludmila Fiorenzano; Amantéa, Sérgio Luís; Motta, Fabrizio; Gasparotto, Aline; Andreolla, Huander Felipe; Pasqualotto, Alessandro C.

    2014-01-01

    OBJECTIVE: To identify clinical, laboratorial and radiographic predictors for Bordetella pertussis infection. METHODS: This was a retrospective study, which analyzed medical records of all patients submitted to a molecular dignosis (qPCR) for B. pertussis from September 2011 to January 2013. Clinical and laboratorial data were reviewed, including information about age, sex, signs/symptoms, length of hospitalization, blood cell counts, imaging findings, coinfection with other respiratory pathogens and clinical outcome. RESULTS: 222 cases were revised. Of these, 72.5% had proven pertussis, and 60.9% were under 1 year old. In patients aging up to six months, independent predictors for B. pertussis infection were (OR 8.0, CI 95% 1.8-36.3; p=0.007) and lymphocyte count >104/µL (OR 10.0, CI 95% 1.8-54.5; p=0.008). No independent predictors of B. pertussis infection could be determined for patients older than six months. Co-infection was found in 21.4% of patients, of which 72.7% were up to six months of age. Adenovirus was the most common agent (40.9%). In these patients, we were not able to identify any clinical features to detect patients presenting with a respiratory co-infection, even though longer hospital stay was observed in patients with co-infections (12 vs. 6 days; p=0.009). CONCLUSIONS: Cyanosis and lymphocytosis are independent predictors for pertussis in children up to 6 months old. PMID:25510991

  1. Epistemological Predictors of Prospective Biology Teachers' Nature of Science Understandings

    ERIC Educational Resources Information Center

    Köseoglu, Pinar; Köksal, Mustafa Serdar

    2015-01-01

    The purpose of this study was to investigate epistemological predictors of nature of science understandings of 281 prospective biology teachers surveyed using the Epistemological Beliefs Scale Regarding Science and the Nature of Science Scale. The findings on multiple linear regression showed that understandings about definition of science and…

  2. Ten Years down the Road: Predictors of Driving Cessation

    ERIC Educational Resources Information Center

    Edwards, Jerri D.; Bart, Edward; O'Connor, Melissa L.; Cissell, Gayla

    2010-01-01

    Purpose: Recent prospective studies have found that cognition is a more salient predictor of driving cessation than physical performance or demographic factors among community-dwelling older adults. However, these studies have been limited to 5 years of follow-up. The current study used data from the Maryland Older Drivers Project to examine…

  3. Is Motivation a Predictor of Foreign Language Learning?

    ERIC Educational Resources Information Center

    Taguchi, Kazuyo

    2006-01-01

    This article reports an investigation into the factors that facilitate language learning. The first strand examines whether motivation is a predictor of as is widely accepted. In order to confirm this, Grade 10 students' motivation level was measured using two questions. Language gains were also measured and compared with the motivation level. The…

  4. Predictors of Specialized Inpatient Admissions for Adults with Intellectual Disability

    ERIC Educational Resources Information Center

    Modi, Miti; McMorris, Carly; Palucka, Anna; Raina, Poonam; Lunsky, Yona

    2015-01-01

    Individuals with intellectual disability (ID) have complex mental health needs and may seek specialized ID psychiatric services. This study reports on predictors of specialized inpatient admissions for 234 individuals with ID who received outpatient services at a psychiatric hospital. Overall, from 2007-2012, 55 of the 234 outpatients were triaged…

  5. Predictors of Autism Enrollment in Public School Systems

    ERIC Educational Resources Information Center

    Boswell, Katelyn; Zablotsky, Benjamin; Smith, Christopher

    2014-01-01

    With a number of disparities present in the diagnosis and treatment of children with autism spectrum disorders, the education system plays a crucial role in the provision of both these service elements. Based on school and federal census data, this article examines one state's public school autism enrollment and possible predictors of…

  6. Perceived Parenting Styles as Predictor of Internet Addiction in Adolescence

    ERIC Educational Resources Information Center

    Dogan, Huseyin; Bozgeyikli, Hasan; Bozdas, Canan

    2015-01-01

    This study examined the perceived parenting styles as predictors of Internet addiction in adolescence. The participants of the study were a total of 419 high school students including 238 girl and 181 boy students whose mean age was 16.5. Personal information form, "Internet Addiction Test" and "Perceived Parenting Style Scale"…

  7. Predictors of Employment and Postsecondary Education of Youth with Autism

    ERIC Educational Resources Information Center

    Migliore, Alberto; Timmons, Jaimie; Butterworth, John; Lugas, Jaime

    2012-01-01

    Using logistic and multiple regressions, the authors investigated predictors of employment and postsecondary education outcomes of youth with autism in the Vocational Rehabilitation Program. Data were obtained from the RSA911 data set, fiscal year 2008. Findings showed that the odds of gaining employment were greater for youth who received job…

  8. Predictors of Self-Assessed Health among Elderly Post Hospitalization.

    ERIC Educational Resources Information Center

    Lurie, Elinore; And Others

    Self-assessment of health incorporates both objective and subjective elements into a general state with implications for health-related behavior. To examine the predictors of self-assessed health in an elderly, post-hospitalization population, 73 adults, 65 years of age or older, were asked to assess the status of the condition for which they were…

  9. Predictors of Gender Inequalities in the Rank of Full Professor

    ERIC Educational Resources Information Center

    Heijstra, Thamar; Bjarnason, Thoroddur; Rafnsdóttir, Gudbjörg Linda

    2015-01-01

    This article examines whether age, work-related, and family-related predictors explain differences in the academic advancement of women and men in Iceland. Survey data were analyzed by binary logistic regression. The findings put that women climb the academic career ladder at a slower pace than men. This finding puts one of the widely known…

  10. Executive Functions as Predictors of Math Learning Disabilities

    ERIC Educational Resources Information Center

    Toll, Sylke W. M.; Van der Ven, Sanne H. G.; Kroesbergen, Evelyn H.; Van Luit, Johannes E. H.

    2011-01-01

    In the past years, an increasing number of studies have investigated executive functions as predictors of individual differences in mathematical abilities. The present longitudinal study was designed to investigate whether the executive functions shifting, inhibition, and working memory differ between low achieving and typically achieving children…

  11. Principal Components Analyses of Predictor Variables in Dental Education.

    ERIC Educational Resources Information Center

    Zullo, Thomas G.

    This study was undertaken to determine the degree of factorial invariance that exists in a battery of predictor variables commonly used in the selection of applicants for dental school. The following variables were used in the analyses performed: 13 subscores from the Dental Aptitude Test Battery, Overall QPA, Required Courses QPA, years of…

  12. The Pimsleur Battery as a Predictor of Student Performance.

    ERIC Educational Resources Information Center

    Curtin, Constance; And Others

    1983-01-01

    A study was undertaken of the predictive validity of the Pimsleur Language Aptitude Battery at a university high school. Correlations of foreign language final grades and total scores on the Pimsleur battery are presented. Reliance on the battery score as a simple predictor of foreign language achievement is not recommended. (MSE)

  13. Predictors for the development of temporomandibular disorders in scuba divers.

    PubMed

    Lobbezoo, F; van Wijk, A J; Klingler, M C; Ruiz Vicente, E; van Dijk, C J; Eijkman, M A J

    2014-08-01

    The aim was to determine predictors for the development of complaints of temporomandibular disorders (TMD) in a large sample of Dutch scuba divers who were free of any TMD complaints before they started diving actively. Five-hundred and thirty-six scuba divers (mean ± SD age = 40.4 ± 11.9 years; 34.1% women) completed a specifically developed questionnaire, either online or on paper. Stepwise forward logistic regression analysis was performed to predict the presence of TMD pain, with several potential risk factors as predictors. Four hundred and eighty-five of the 536 respondents were free of any TMD pain before they started diving actively. In this sample, TMD pain was present in 214 persons (44.1%). Four predictors contributed significantly to the presence of TMD pain, viz., clenching (OR = 2.466), warm water (OR = 1.685), biting on the mouthpiece (OR = 1.598), and the quality rating of the mouthpiece (OR = 0.887, that is, a higher rating means a smaller odds of having TMD pain). TMD pain is a common complaint among scuba divers who were free of such complaints before they started diving actively. Clenching, biting on the mouthpiece, and a low rating of the mouthpiece are predictors for the presence of TMD pain in scuba divers, while diving in cold water serves as a protective factor for TMD pain. PMID:24766672

  14. Counting and RAN: Predictors of Arithmetic Calculation and Reading Fluency

    ERIC Educational Resources Information Center

    Koponen, Tuire; Salmi, Paula; Eklund, Kenneth; Aro, Tuija

    2013-01-01

    This study examined whether counting and rapid automatized naming (RAN) could operate as significant predictors of both later arithmetic calculation and reading fluency. The authors also took an important step to clarify the cognitive mechanisms underlying these predictive relationships by controlling for the effect of phonological awareness and…

  15. Predictors of Achievement for Educable Mentally Retarded Children. Final Report.

    ERIC Educational Resources Information Center

    Bonfield, John R.

    A study of institutionalized educable mentally handicapped children (EMR's aged 6-7 to 12-6) was designed to evaluate the use of subtest combinations and learning tasks as predictors of achievement compared to single individual and group tests. Fifty-one subjects received a pretest battery of six individual tests, one group test, three learning…

  16. Children's Rorschach Scores as Predictors of Later Adjustment.

    ERIC Educational Resources Information Center

    Tuber, Steven B.

    1983-01-01

    Tested the hypothesis that Rorschach measures of object relations and thought organization could help predict later adjustment. Former patients (N=70) at a child residential treatment center were followed up as adults. Object relations measures were found to be effective discriminators and predictors of later rehospitalization for boys. (JAC)

  17. Cognitive Predictors of Children's Attitudes toward Alcohol and Cocaine.

    ERIC Educational Resources Information Center

    Bridges, Lisa J.; Sigelman, Carol K.; Brewster, Albert B.; Leach, Diane B.; Mack, Keisha L.; Rinehart, Cheryl S.; Sorongon, Alberto G.

    2003-01-01

    Examines age differences in, and associations among, children's attitudes and intentions regarding alcohol and cocaine use and possible cognitive underpinnings of such orientations. Attitudes and intentions were negative and became less negative with age for alcohol, but more negative with age for cocaine. The cognitive predictors contributed to…

  18. Predictors of Attrition and Achievement in a Tertiary Bridging Program

    ERIC Educational Resources Information Center

    Whannell, Robert

    2013-01-01

    This study examines the attrition and achievement of a sample of 295 students in an on-campus tertiary bridging program at a regional university. A logistic regression analysis using enrolment status, age and the number of absences from scheduled classes at week three of the semester as predictor variables correctly predicted 92.8 percent of…

  19. Rates and Predictors of Sexual Aggression Among Students and Nonstudents

    ERIC Educational Resources Information Center

    Buddie, Amy M.; Testa, Maria

    2005-01-01

    The authors compared rates and predictors of sexual aggression for women attending college with those of women from the same population who were not attending college. Because it has been suggested that less parental monitoring at college may be associated with risky behaviors that contribute to sexual aggression, they also compared rates and…

  20. Predictors of Burnout in Community College Faculty: A Regression Analysis

    ERIC Educational Resources Information Center

    Phronebarger, Andrea L.

    2014-01-01

    The present study was conducted in an effort to develop a model to predict "burnout" in community college faculty members using the demographic predictors of employment status, teaching load, age, teaching experience and gender. Originally termed by Herbert Freudenberger in 1974, burnout is a phenomenon that has been investigated in a…

  1. Predictors of Educational Attainment in the Chicago Longitudinal Study

    ERIC Educational Resources Information Center

    Ou, Suh-Ruu; Reynolds, Arthur J.

    2008-01-01

    The authors investigated a comprehensive set of predictors of high school completion and years of completed education for youth in the Chicago Longitudinal Study, an ongoing investigation of over 1500 low-income, minority children who grew up on high-poverty neighborhoods. The study sample included 1286 youth for whom educational attainment could…

  2. Predictors of Depression and Anxiety among International Students

    ERIC Educational Resources Information Center

    Sumer, Seda; Poyrazli, Senel; Grahame, Kamini

    2008-01-01

    The role of gender, age, race/ethnicity, length of stay, social support, and proficiency in English in the variance in depression and anxiety among international students revealed that social support was a significant predictor of depression and anxiety among international students. Age significantly contributed to the variance in anxiety, and…

  3. Predictors of Adult Attitudes toward Corporal Punishment of Children

    ERIC Educational Resources Information Center

    Gagne, Marie-Helene; Tourigny, Marc; Joly, Jacques; Pouliot-Lapointe, Joelle

    2007-01-01

    This study identifies predictors of favorable attitudes toward spanking. Analyses were performed with survey data collected from a representative sample of 1,000 adults from Quebec, Canada. According to this survey, a majority of respondents endorsed spanking, despite their recognition of potential harm associated with corporal punishment (CP) of…

  4. Change in Autism Classification with Early Intervention: Predictors and Outcomes

    ERIC Educational Resources Information Center

    Ben Itzchak, Esther; Zachor, Ditza A.

    2009-01-01

    The current study characterized stability and changes of autism diagnostic classification with intervention in very young children and examined pre-treatment predictors and post-intervention outcome. Sixty-eight children diagnosed with autism, aged 18-35 months (M = 25.4, SD = 4.0) participated in the study. Children underwent comprehensive…

  5. Early Predictors of Calculation Fluency in Second Grade

    ERIC Educational Resources Information Center

    Locuniak, Maria N.

    2010-01-01

    Calculation fluency weaknesses are a key characteristic of children with mathematics difficulties. The major aim of this dissertation was to uncover early predictors of calculation fluency weaknesses in second graders. Children's performance on number sense tasks in kindergarten along with general cognitive abilities, early literacy skills, and…

  6. Predictors of Psychological Distress among Infertility Clinic Patients.

    ERIC Educational Resources Information Center

    Morrow, Kelly A.; And Others

    1995-01-01

    Investigated predictors of psychological distress among infertility clinic patients. Analyses indicated that infertile men and women reported greater psychological distress than the general population. Self-blame and avoidance coping significantly predicted psychological distress among men and women. Increased age and childlessness added to…

  7. Socio-economic Predictors of Alienation among the Elderly.

    ERIC Educational Resources Information Center

    Durant, Thomas J., Jr.; Christian, Ollie

    1990-01-01

    Studied level of alienation and associations between socioeconomic variables and alienation in 200 older senior center clients. Found group isolation and powerlessness were more prevalent than personal isolation or normlessness; health, race, education, and income were strongest predictors of alienation; and older Blacks and those with lower…

  8. Adolescent Gambling: A Narrative Review of Behavior and Its Predictors

    ERIC Educational Resources Information Center

    Ariyabuddhiphongs, Vanchai

    2013-01-01

    This narrative review summarizes current knowledge on adolescent gambling for the period 1990-2010, assesses adolescent gambling behavior and person and environment predictors, and suggests directions for future research. The review includes 99 studies that identified their subjects as adolescents, children, youth, and students, and discusses…

  9. Predictors of Depressive Symptoms among Inpatient Substance Abusers

    ERIC Educational Resources Information Center

    Diaz, Naelys; Green, Diane; Horton, Eloise G.

    2009-01-01

    The existing literature indicates high comorbidity rates between depressive disorders and substance abuse disorders. Despite these elevated rates, there is limited empirical work devoted to understanding predictors of depressive symptoms among substance abusers. The aim of this study was to examine the effect of spirituality, believing in God's…

  10. Predictors of Familial Acculturative Stress in Asian American College Students

    ERIC Educational Resources Information Center

    Castillo, Linda G.; Zahn, Marion P.; Cano, Miguel A.

    2012-01-01

    The authors examined the predictors of familial acculturative stress in 85 Asian American college students. Participants were primarily 1st- and 2nd-generation U.S. citizens. Results showed that perceived acculturative family conflict and family intragroup marginalization were related to higher levels of familial acculturative stress for…

  11. Predictors of College Student Suicidal Ideation: Gender Differences

    ERIC Educational Resources Information Center

    Stephenson, Hugh; Pena-Shaff, Judith; Quirk, Priscilla

    2006-01-01

    There is a need to identify students at risk for suicide. Predictors of suicidality were examined separately for men and women in a college health survey of 630 students. Women reported higher levels of suicidal ideation than men in the previous year. Separate regression analyses for men and women accounted for significant amounts of the variance…

  12. Anxiety, Stress and Social Support: Prenatal Predictors of Obstetrical Outcomes.

    ERIC Educational Resources Information Center

    Nethercut, Gail; Adler, Nancy

    The role of anxiety, stress, and social support in predicting negative obstetrical outcomes was examined in a high-risk group of pregnant women. The predictor variables were assessed with separate self-report scales, including The Sarason Life Experience Survey, the Spielberger State/Trait Inventory, and a modified version of the Lazarus and Cohen…

  13. Individual, Family, and Peer predictors of Violence among Samoan Adolescents

    ERIC Educational Resources Information Center

    Stevens, Devan L.; Hardy, Sam A.

    2013-01-01

    This study explored individual, family, and peer predictors of involvement and psychological investment in fights among Samoan youth. Participants were 310 adolescents ages 13 through 19 living in Samoa. MANCOVAs compared those involved in fights with those not, and those more investing in fighting with those less invested. In terms of individual…

  14. Relational Aggression in Middle Childhood: Predictors and Adolescent Outcomes

    ERIC Educational Resources Information Center

    Spieker, Susan J.; Campbell, Susan B.; Vandergrift, Nathan; Pierce, Kim M.; Cauffman, Elizabeth; Susman, Elizabeth J.; Roisman, Glenn I.

    2012-01-01

    This study examined gender differences in the level and developmental course of relational aggression in middle childhood, as well as early predictors and outcomes of relational aggression, after controlling for concurrent physical aggression. Relational (RAgg) and Physical aggression (PAgg) scores for 558 boys and 545 girls at the ages of eight…

  15. Relative Strengths of Predictors of Middle School Girls' Suspendable Offenses

    ERIC Educational Resources Information Center

    Cavanaugh, Barbara Harlow

    2009-01-01

    This study determines the relative strength of predictors of school violence among a sample of 229 girls enrolled in a single middle school. The four-part questionnaire, comprising sociodemographic items, a school violence inventory, a self-esteem scale, and an attitudes toward violence scale, measured school violence in terms of suspendable…

  16. Predictors of Success for Academically Dismissed Students Following Readmission.

    ERIC Educational Resources Information Center

    Hall, Kathleen M.; Gahn, Wiley

    1994-01-01

    A study investigated the validity of six predictors of academic success after dismissal and reentry: grade point average (GPA) at dismissal, GPA at another school in the interim, composite college entrance examination score, semesters between dismissal and readmission, credits earned elsewhere after dismissal, and instructional level at dismissal.…

  17. Predictors of Home Based Long-Term Care Services.

    ERIC Educational Resources Information Center

    Luppens, Jean; And Others

    An attempt was made to determine predictors of service need, use, and outcome among chronically impaired adults and aged who were living in the community and using the home-based, long term care services of the Chronic Illness Center (CIC) of the Cuyahoga County Hospitals (Ohio). Randomly selected consumer service records (N=200) were coded for…

  18. Predictors of Sense of Belonging for Students with Psychological Conditions

    ERIC Educational Resources Information Center

    Mackie, Michele Matteo

    2013-01-01

    The purpose of this study was to develop a portrait of students with psychological conditions, to determine the predictors of sense of belonging for these students, and to draw comparisons between the collegiate experiences of students with, and those without, psychological conditions. Using data from the 2009 Multi-Institutional Study of…

  19. Predictors of Appraisal and Coping Dimensions in Myocardial Infarction Victims.

    ERIC Educational Resources Information Center

    Lee, Hyong Sil; Martin, Peter

    This study attempted to identify predictors of perception and coping after the occurrence of a myocardial infarction. Sixty males and 17 females who had suffered from a myocardial infarction within 3 months prior to the research were recruited from a hospital rehabilitation program. Subjects completed the Peri-Life Events Scale, the 16-PF…

  20. Comparison of Four Methods for Weighting Multiple Predictors.

    ERIC Educational Resources Information Center

    Aamodt, Michael G.; Kimbrough, Wilson W.

    1985-01-01

    Four methods were used to weight predictors associated with a Resident Assistant job: (1) rank order weights; (2) unit weights; (3) critical incident weights; and (4) regression weights. A cross-validation was also done. Most weighting methods were highly related. No method was superior in terms of protection from validity shrinkage. (GDC)

  1. Predictors of Organizational Commitment among Staff in Assisted Living

    ERIC Educational Resources Information Center

    Sikorska-Simmons, Elzbieta

    2005-01-01

    Purpose: This study examines the role of organizational culture, job satisfaction, and sociodemographic characteristics as predictors of organizational commitment among staff in assisted living. It is particularly important to examine organizational commitment, because of its close links to staff turnover. Design and Methods: Data were collected…

  2. Social Predictors of Sunscreen and Self-Tanning Product Use

    ERIC Educational Resources Information Center

    Mosher, Catherine E.; Danoff-Burg, Sharon

    2005-01-01

    This study investigated social predictors of sunscreen and self-tanning product use among 164 undergraduates. Immediate family members' sunscreen use predicted participants' facial sunscreen use while sunbathing but not their sunscreen use on other areas of the body. In addition, familial support of a tanned appearance was inversely associated…

  3. Predictors of Expressive Vocabulary Growth in Children with Autism

    ERIC Educational Resources Information Center

    Smith, Veronica; Mirenda, Pat; Zaidman-Zait, Anat

    2007-01-01

    Purpose: The purpose of this exploratory study was to examine the variability and predictors of expressive vocabulary development in children with autism and very delayed language. Method: This study involved 35 children with autism whose initial chronological ages were between 20 and 71 months and whose initial expressive vocabularies were less…

  4. Video Game Strategies as Predictors of Academic Achievement

    ERIC Educational Resources Information Center

    Hamlen, Karla R.

    2014-01-01

    The purpose of this study was to investigate relationships between strategies students use to overcome challenges in both video games and homework assignments, and whether or not these are predictors of academic performance in school. Data were collected through an online survey of students, primarily in middle and high school, assessing both…

  5. Paradigmatic Responding as a Predictor of First Grade Reading Achievement.

    ERIC Educational Resources Information Center

    Ceprano, Maria A.

    To ascertain whether paradigmatic performance on a word association test administered at the end of kindergarten is an effective predictor of reading achievement, 37 children were tested on the Syntagmatic-Paradigmatic Assessment (SPA) at the end of their kindergarten year. At the end of their first grade year, the children were administered a…

  6. Predictors of Racial Prejudice in White American Counseling Students

    ERIC Educational Resources Information Center

    Castillo, Linda G.; Conoley, Collie W.; King, Jennifer; Rollins, Dahl; Rivera, Saori; Veve, Mia

    2006-01-01

    This study extends the research on racial prejudice by combining previously identified predictors into 1 study to determine their relative importance in contributing to racial prejudice. Results revealed that White racial identity significantly predicted racial prejudice when demographic variables were controlled. Implications of reducing racial…

  7. Predictors of Sexual Aggression among Male Juvenile Offenders

    ERIC Educational Resources Information Center

    Yeater, Elizabeth A.; Lenberg, Kathryn L.; Bryan, Angela D.

    2012-01-01

    The purpose of this study was to conduct a longitudinal examination of predictors of sexual aggression among male juvenile offenders. Four hundred and four adolescent males between the ages of 14 and 17 years were recruited from juvenile probation offices to take part in a prospective study of substance use and sexual risk. At baseline,…

  8. Predictors of Running Away from Family Foster Care

    ERIC Educational Resources Information Center

    Nesmith, Andrea

    2006-01-01

    Running away is a frequent but little studied phenomenon among adolescents in foster care. Repeated running from care often leads to premature discharge and homelessness for youth. This article uses cumulative risk theory in the context of normative adolescent development to investigate predictors of running away from foster care. Results indicate…

  9. Early Temperamental and Family Predictors of Shyness and Anxiety

    ERIC Educational Resources Information Center

    Volbrecht, Michele M.; Goldsmith, H. Hill

    2010-01-01

    With a sample of 242 twins (135 girls, 107 boys) studied longitudinally, behavioral inhibition (BI) and inhibitory control (IC) measured at 3 years, as well as early and concurrent family process variables, were examined as predictors of shyness and of anxiety symptoms approximately 4 years later. Structured observational data from laboratory and…

  10. Predictors of Academic Success among College Students with Attention Disorders

    ERIC Educational Resources Information Center

    Kaminski, Patricia L.; Turnock, Patrick M.; Rosen, Lee A.; Laster, Stephanie A.

    2006-01-01

    The purposes of this study are (a) to identify coping resources that differentiate academically high-achieving college students with attention deficit hyperactivity disorder (ADHD) from their less academically successful ADHD peers, and (b) to use qualitative methods to initiate an investigation of other possible predictors of academic success…

  11. Evaluating Predictors of Outcome for Children in Psychotherapy.

    ERIC Educational Resources Information Center

    Bush, Rita Masden; And Others

    Most research in psychotherapy has focused on adult clients, while child psychotherapy has been comparatively neglected. To identify predictors of outcome in psychotherapy for children, the relationship between several client, therapist, and economic variables was examined. Subjects were 268 children and their families who had completed treatment…

  12. Neurocognitive Predictors of Reading Outcomes for Children with Reading Disabilities

    ERIC Educational Resources Information Center

    Frijters, Jan C.; Lovett, Maureen W.; Steinbach, Karen A.; Wolf, Maryanne; Sevcik, Rose A.; Morris, Robin D.

    2011-01-01

    This study reports on several specific neurocognitive process predictors of reading outcomes for a sample of 278 children with reading disabilities. Three categories of response (i.e., poor, average, and good) were formed via growth curve models of six reading outcomes. Two nested discriminant function analyses were conducted to evaluate the…

  13. Student Pathways at the University: Patterns and Predictors of Completion

    ERIC Educational Resources Information Center

    Tumen, Sarah; Shulruf, Boaz; Hattie, John

    2008-01-01

    This article outlines a longitudinal pathway analysis of student performance within educational institutions, so as to identify student profiles which describe those groups of students who are more likely to complete or leave a bachelor degree program, and to identify the predictors for these outcomes. The analyses are based on 7314 undergraduate…

  14. Predictors of Nonmedical ADHD Medication Use by College Students

    ERIC Educational Resources Information Center

    Rabiner, David L.; Anastopoulos, Arthur D.; Costello, E. Jane; Hoyle, Rick H.; Swartzwelder, H. Scott

    2010-01-01

    Objective: To identify the predictors of nonmedical ADHD medication use by college students. Participants: A total of 843 undergraduates attending one public or one private university in southeastern United States. Method: Students completed a Web-based survey inquiring about ADHD medication use during the first semester freshman of their year and…

  15. Showing the Love: Predictors of Student Loyalty to Undergraduate Institutions

    ERIC Educational Resources Information Center

    Vianden, Jörg; Barlow, Patrick J.

    2014-01-01

    This article advances the notion that undergraduates may be considered student-customers whose relationship with and loyalty to their institutions can be managed by college educators. The Student University Loyalty Instrument administered to 1,207 undergraduates at three comprehensive Midwestern institutions assessed the predictors of student…

  16. Child Maltreatment and the Justice System: Predictors of Court Involvement

    ERIC Educational Resources Information Center

    Sedlak, Andrea J.; Doueck, Howard J.; Lyons, Peter; Wells, Susan J.; Schultz, Dana; Gragg, Francis

    2005-01-01

    Objectives: Characteristics of the child victim, perpetrator, and maltreatment incident were used to examine predictors of court involvement in cases of serious child maltreatment. Method: Cases were drawn from those reported to: child protective services (n = 225), "sheriff's office" ( n = 225), "prosecutor's office" ( n = 60), "and dependency…

  17. Learner Characteristics as Predictors of Online Social Presence

    ERIC Educational Resources Information Center

    Mykota, David; Duncan, Randy

    2007-01-01

    In this study, the authors determined the individual learner characteristics of educators enrolled in online courses that influenced social presence (affective social communication). Findings reveal that the number of online courses taken, followed by computer-mediated communication proficiency, are significant predictors of social presence.…

  18. Maternal and Child Predictors of Preschool Children's Social Competence

    ERIC Educational Resources Information Center

    Diener, Marissa L.; Kim, Do-Yeong

    2004-01-01

    The present study examined child and maternal predictors of children's social competence in preschool. One hundred ten mothers and their preschool-aged children participated. Mothers completed parent reports of child temperament and self-regulation, and self-reports of maternal separation anxiety. Mothers' interactional style was coded from…

  19. Predictors of Life Satisfaction in Individuals with Intellectual Disabilities

    ERIC Educational Resources Information Center

    Miller, S. M.; Chan, F.

    2008-01-01

    Background: The purpose of this study was to examine factors that predict life satisfaction in individuals with intellectual disabilities (ID). Two groups of variables were studied: life skills (interpersonal, instrumental and leisure) and higher-order predictors (social support, self-determination and productivity). Method: Fifty-six participants…

  20. Comparison of Three Predictors of State Anxiety in Competitive Situations

    ERIC Educational Resources Information Center

    Martens, Rainer; Simon, Julie A.

    1976-01-01

    Research supports previous findings in which situation-specific anxiety trait instruments have been shown to be better predictors of behavior than general anxiety trait instruments or coaches' subjective ratings, and it support the predictive and construct validity of the Sport Competition Anxiety Test (SCAT). (MB)

  1. Attitudes, Values and Moral Reasoning as Predictors of Delinquency

    ERIC Educational Resources Information Center

    Tarry, Hammond; Emler, Nicholas

    2007-01-01

    Attitudes to institutional authority, strength of support for moral values and maturity of socio-moral reasoning have all been identified as potential predictors of adolescent delinquency. In a sample of 12-15-year-old boys (N = 789), after checking for effects of age, IQ, social background and ethnicity, self-reported delinquency was…

  2. Predictors of Parenting Stress for Abusive and Nonabusive Mothers

    ERIC Educational Resources Information Center

    McPherson, Andrea V.; Lewis, Kristen M.; Lynn, Amy E.; Haskett, Mary E.; Behrend, Tara S.

    2009-01-01

    We examined a model of parenting stress for abusive mothers (n = 80) and nonabusive mothers (n = 86) using linear regression analyses. Predictors in the model included (a) the degree to which mothers were bothered by child misbehavior, (b) mothers' general psychological functioning, and (c) observed child behavior during parent-child interactions.…

  3. Ecological Predictors of Substance Use in Middle School Students

    ERIC Educational Resources Information Center

    Suldo, Shannon M.; Mihalas, Stephanie; Powell, Heather; French, Rachel

    2008-01-01

    The current study examined important predictors of substance use during early adolescence. The authors hypothesized that adolescents' relationships with key adults (i.e., teachers and parents) influence their choices to use substances indirectly through links with their decisions regarding peer groups. A total of 461 middle school students from an…

  4. Beyond Health and Wealth: Predictors of Women's Retirement Satisfaction

    ERIC Educational Resources Information Center

    Price, Christine A.; Balaswamy, Shantha

    2009-01-01

    Despite empirical support for the positive effects of health and wealth on retirement satisfaction, alternative variables also play a key role in helping to shape women's assessment of retirement. In the present study, we explore personal and psychosocial predictors of women's retirement satisfaction while controlling for financial security and…

  5. Predictors of Adolescent Breakfast Consumption: Longitudinal Findings from Project EAT

    ERIC Educational Resources Information Center

    Bruening, Meg; Larson, Nicole; Story, Mary; Neumark-Sztainer, Dianne; Hannan, Peter

    2011-01-01

    Objective: To identify predictors of breakfast consumption among adolescents. Methods: Five-year longitudinal study Project EAT (Eating Among Teens). Baseline surveys were completed in Minneapolis-St. Paul schools and by mail at follow-up by youth (n = 800) transitioning from middle to high school. Linear regression models examined associations…

  6. Examining the Changing Influence of Predictors on Adolescent Alcohol Misuse

    ERIC Educational Resources Information Center

    Tyler, Kim A.; Stone, Rosalie Torres; Bersani, Bianca

    2007-01-01

    The purpose of this study was to examine whether the influence of key characteristics on adolescent alcohol misuse (i.e., maternal binge drinking, parenting, peers, school characteristics, and the adolescent's own behavior) change over time and whether predictors of adolescent alcohol misuse vary by gender and race/ethnicity. Using prospective,…

  7. Student Persistence Predictors and Community College Institutional Effectiveness

    ERIC Educational Resources Information Center

    Shelley, Jeffrey Lee

    2013-01-01

    The purpose of this study was to expand the literature on student persistence in community colleges through three research innovations. First, the literature on student persistence in community colleges was expanded by applying theory to the identification and testing of predictors. Second, it was expanded by validating retention prediction…

  8. Micro- and Macrosystem Predictors of High School Male Suicidal Behaviors

    ERIC Educational Resources Information Center

    Beck-Cross, Cathy; Cooper, Robyn

    2015-01-01

    Suicide is the third leading cause of death among young people ages 15 to 19 years, with male adolescents four times more likely to die than their female peers. This study used Bronfenbrenner's bioecological model to examine micro- and macrosystems as predictors of suicidal behaviors through responses by male adolescents (N = 9,910) to a statewide…

  9. Predictors of Heterosexual College Students' Attitudes toward LGBT People

    ERIC Educational Resources Information Center

    Woodford, Michael R.; Silverschanz, Perry; Swank, Eric; Scherrer, Kristin S.; Raiz, Lisa

    2012-01-01

    This study identifies the predictors of U.S. heterosexual undergraduate and graduate college students' attitudes toward lesbian, gay, bisexual, and transgender (LGBT) people as a group rather than toward individual identities. Findings suggest that affirming LGBT attitudes are most strongly associated with liberal political ideology and whether…

  10. Predictors of Future Performance in Architectural Design Education

    ERIC Educational Resources Information Center

    Roberts, A. S.

    2007-01-01

    The link between academic performance in secondary education and the subsequent performance of students studying architecture at university level is commonly questioned by educators and admissions tutors. This paper investigates the potential for using measures of cognitive style and spatial ability as predictors of future potential in…

  11. Predictors of Condom Use in Latino Migrant Day Laborers

    ERIC Educational Resources Information Center

    Organista, Kurt C.; Ehrlich, Samantha F.

    2008-01-01

    This article reports on predictors of condom use with casual female sex partners on the part of Latino migrant day laborers in the San Francisco Bay Area. Results come from a secondary analysis of data from a cross-sectional survey using convenience sampling to interview 290 sexually active adult, male, migrant Latino day laborers. Regression…

  12. Adulthood Predictors of Health Promoting Behavior in Later Aging

    ERIC Educational Resources Information Center

    Holahan, Carole K.; Suzuki, Rie

    2004-01-01

    This study investigated adulthood predictors of health-promoting behavior in later aging. The participants were 162 members of the Terman Study of the Gifted (Terman et al., 1925), who responded in 1999 at an average age of 86 to a mailout questionnaire which included questions concerning their positive health behavior. Adulthood variables were…

  13. Vietnamese Amerasians: Predictors of Distress and Self-Destructive Behavior.

    ERIC Educational Resources Information Center

    Bemak, Fred; Chung, Rita Chi-Ying

    1998-01-01

    Pre- and postmigration variables that predict psychological distress and self-destructive behavior for Vietnamese Amerasians (N=169) are examined, and implications for counseling discussed. Results may indicate that observing traumatic events is a greater predictor of psychological distress and self-destructive behavior than actually experiencing…

  14. Predictors of Postural Stability in Children with ADHD

    ERIC Educational Resources Information Center

    Ghanizadeh, Ahmad

    2011-01-01

    Objective: As children with ADHD who have more inattention problems are more frequently with fine motor problems, it is not clear whether postural balance problems are associated with different subtypes of ADHD. This study investigates the predictors of postural stability in children with ADHD considering the covariant factors of age, gender, and…

  15. Predictor selection for downscaling GCM data with LASSO

    NASA Astrophysics Data System (ADS)

    Hammami, Dorra; Lee, Tae Sam; Ouarda, Taha B. M. J.; Lee, Jonghyun

    2012-09-01

    Over the last 10 years, downscaling techniques, including both dynamical (i.e., the regional climate model) and statistical methods, have been widely developed to provide climate change information at a finer resolution than that provided by global climate models (GCMs). Because one of the major aims of downscaling techniques is to provide the most accurate information possible, data analysts have tried a number of approaches to improve predictor selection, which is one of the most important steps in downscaling techniques. Classical methods such as regression techniques, particularly stepwise regression (SWR), have been employed for downscaling. However, SWR presents some limits, such as deficiencies in dealing with collinearity problems, while also providing overly complex models. Thus, the least absolute shrinkage and selection operator (LASSO) technique, which is a penalized regression method, is presented as another alternative for predictor selection in downscaling GCM data. It may allow for more accurate and clear models that can properly deal with collinearity problems. Therefore, the objective of the current study is to compare the performances of a classical regression method (SWR) and the LASSO technique for predictor selection. A data set from 9 stations located in the southern region of Québec that includes 25 predictors measured over 29 years (from 1961 to 1990) is employed. The results indicate that, due to its computational advantages and its ease of implementation, the LASSO technique performs better than SWR and gives better results according to the determination coefficient and the RMSE as parameters for comparison.

  16. Predictors of Early Termination in a University Counseling Training Clinic

    ERIC Educational Resources Information Center

    Lampropoulos, Georgios K.; Schneider, Mercedes K.; Spengler, Paul M.

    2009-01-01

    Despite the existence of counseling dropout research, there are limited predictive data for counseling in training clinics. Potential predictor variables were investigated in this archival study of 380 client files in a university counseling training clinic. Multinomial logistic regression, predictive discriminant analysis, and classification and…

  17. Predictors of Academic Procrastination in Asian International College Students

    ERIC Educational Resources Information Center

    Lowinger, Robert Jay; Kuo, Ben C. H.; Song, Hyun-A.; Mahadevan, Lakshmi; Kim, Eunyoung; Liao, Kelly Yu-Hsin; Chang, Catherine Y.; Kwon, Kyong-Ah; Han, Suejung

    2016-01-01

    This study examined the relationships among acculturative stress, coping styles, self-efficacy, English language proficiency, and various demographic characteristics as predictors of procrastination behavior in Asian International students (N = 255) studying in the United States. Results of multiple logistic regression indicated that a collective…

  18. Childhood and Adolescent Predictors of Early Adult Career Pathways.

    ERIC Educational Resources Information Center

    Wiesner, Margit; Vondracek, Fred W.; Capaldi, Deborah M.; Porfeli, Erik

    2003-01-01

    Data from the longitudinal Oregon Youth Study for 202 at-risk young men discerned 4 career pathways: long-term unemployment, short-term unemployment, full employment, college education. Long-term unemployment was associated with lowest education attainment and personal adjustment during childhood/adolescence. Most important predictors of pathways…

  19. Intergenerational Family Predictors of the Black-White Achievement Gap

    ERIC Educational Resources Information Center

    Mandara, Jelani; Varner, Fatima; Greene, Nereira; Richman, Scott

    2009-01-01

    The authors examined intergenerational family predictors of the Black-White achievement gap among 4,406 adolescents from the National Longitudinal Survey of Youth. An intergenerational model of the process by which family factors contribute to the achievement gap was also tested. The results showed that the ethnic gaps in socioeconomic status…

  20. The Comparison of Predictors of Death Obsession within Two Cultures

    ERIC Educational Resources Information Center

    Abdel-Khalek, Ahmed M.; Maltby, John

    2008-01-01

    The objective of the study was to compare various predictors of death obsession (i.e., anxiety, optimism, pessimism), and self-ratings of religiosity, physical health, mental health, happiness, and satisfaction with life, among 2 samples of college students recruited from two different cultures: Kuwait (n = 271) and United Kingdom (n = 205). The…

  1. Confidence: The Best Non-Cognitive Predictor of Academic Achievement?

    ERIC Educational Resources Information Center

    Stankov, Lazar; Morony, Suzanne; Lee, Yim Ping

    2014-01-01

    Recent efforts to identify non-cognitive predictors of academic achievement and school success have largely focused on self-constructs such as self-efficacy, self-concept and anxiety that are measured with respect to a specific domain (e.g. mathematics). We extend the measurement of the non-cognitive realm in education to incorporate both social…

  2. Predictors of Obesity Bias among Exercise Science Students

    ERIC Educational Resources Information Center

    Langdon, Jody; Rukavina, Paul; Greenleaf, Christy

    2016-01-01

    The purpose of the present study was to investigate particular psychosocial predictors of obesity bias in prehealth professionals, which include the internalization of athletic and general body ideals, perceived media pressure and information, and achievement goal orientations. Exercise science undergraduate students (n = 242) filled out a survey…

  3. Predictors of Early versus Later Spelling Development in Danish

    ERIC Educational Resources Information Center

    Nielsen, Anne-Mette Veber; Juul, Holger

    2016-01-01

    The present study examined phoneme awareness, phonological short term memory, letter knowledge, rapid automatized naming (RAN), and visual-verbal paired associate learning (PAL) as longitudinal predictors of spelling skills in an early phase (Grade 2) and a later phase (Grade 5) of development in a sample of 140 children learning to spell in the…

  4. Predictors of Developmental Outcomes for Infants Who Are Medically Fragile.

    ERIC Educational Resources Information Center

    Smith, Timothy B.; Boyce, Glenna C.

    This paper presents results of a preliminary study which evaluated medical birth data as potential predictors of developmental outcome, and developed and tested an instrument designed for this purpose. Forty low birthweight children, all of whom had experienced neonatal intraventricular hemorrhage, were evaluated at school age (66 months) on the…

  5. Neurophysiological predictor of SMR-based BCI performance.

    PubMed

    Blankertz, Benjamin; Sannelli, Claudia; Halder, Sebastian; Hammer, Eva M; Kübler, Andrea; Müller, Klaus-Robert; Curio, Gabriel; Dickhaus, Thorsten

    2010-07-15

    Brain-computer interfaces (BCIs) allow a user to control a computer application by brain activity as measured, e.g., by electroencephalography (EEG). After about 30years of BCI research, the success of control that is achieved by means of a BCI system still greatly varies between subjects. For about 20% of potential users the obtained accuracy does not reach the level criterion, meaning that BCI control is not accurate enough to control an application. The determination of factors that may serve to predict BCI performance, and the development of methods to quantify a predictor value from psychological and/or physiological data serve two purposes: a better understanding of the 'BCI-illiteracy phenomenon', and avoidance of a costly and eventually frustrating training procedure for participants who might not obtain BCI control. Furthermore, such predictors may lead to approaches to antagonize BCI illiteracy. Here, we propose a neurophysiological predictor of BCI performance which can be determined from a two minute recording of a 'relax with eyes open' condition using two Laplacian EEG channels. A correlation of r=0.53 between the proposed predictor and BCI feedback performance was obtained on a large data base with N=80 BCI-naive participants in their first session with the Berlin brain-computer interface (BBCI) system which operates on modulations of sensory motor rhythms (SMRs). PMID:20303409

  6. Predictors of Academic Success for University Students in Special Programs.

    ERIC Educational Resources Information Center

    Sedlacek, William E.; Brooks, Glenwood C., Jr.

    The purpose of this study was to examine intellectual (standardized tests and high school grades) and nonintellectual (attitudes, personality, and the like) predictors of success for students in special programs for culturally different students. Ninety-five freshmen enrolled in a special program at the University of Maryland, 90 of whom were…

  7. Using Dominance Analysis to Determine Predictor Importance in Logistic Regression

    ERIC Educational Resources Information Center

    Azen, Razia; Traxel, Nicole

    2009-01-01

    This article proposes an extension of dominance analysis that allows researchers to determine the relative importance of predictors in logistic regression models. Criteria for choosing logistic regression R[superscript 2] analogues were determined and measures were selected that can be used to perform dominance analysis in logistic regression. A…

  8. Concurrent and Longitudinal Predictors of Calculation Skills in Preschoolers

    ERIC Educational Resources Information Center

    Tobia, Valentina; Bonifacci, Paola; Marzocchi, Gian Marco

    2016-01-01

    Early calculation abilities in preschoolers are predictive of mathematics achievement in subsequent grades (e.g., Jordan et al. 2009). Two studies were conducted to evaluate concurrent and longitudinal predictors of early calculation skills. In the first study, 102 preschoolers (57.8% female; mean age?=?60.57?±?8.66 months) were given vocabulary,…

  9. Epidemiological predictors of metabolic syndrome in urban West Bengal, India

    PubMed Central

    Chakraborty, Sasthi Narayan; Roy, Sunetra Kaviraj; Rahaman, Md Abdur

    2015-01-01

    Introduction: Metabolic syndrome is one of the emerging health problems of the world. Its prevalence is high in urban areas. Though pathogenesis is complex, but the interaction of obesity, sedentary lifestyle, dietary, and genetic factors are known as contributing factors. Community-based studies were very few to find out the prevalence or predictors of the syndrome. Objectives: To ascertain the prevalence and epidemiological predictors of metabolic syndrome. Materials and Methods: A total of 690 study subjects were chosen by 30 clusters random sampling method from 43 wards of Durgapur city. Data were analyzed in SPSS version 20 software and binary logistic regression was done to find out statistical significance of the predictors. Results: Among 32.75% of the study population was diagnosed as metabolic syndrome according to National Cholesterol Education Program Adult Treatment Panel III definition with a modification for Asia Pacific cut-off of waist circumference. Odds were more among females (2.43), upper social class (14.89), sedentary lifestyle (17.00), and positive family history. Conclusion: The overall prevalence of metabolic syndrome was high in urban areas of Durgapur. Increased age, female gender, higher social status, sedentary lifestyle, positive family history, and higher education were the statistically significant predictors of metabolic syndrome. PMID:26985412

  10. Joint probabilistic-logical refinement of multiple protein feature predictors

    PubMed Central

    2014-01-01

    Background Computational methods for the prediction of protein features from sequence are a long-standing focus of bioinformatics. A key observation is that several protein features are closely inter-related, that is, they are conditioned on each other. Researchers invested a lot of effort into designing predictors that exploit this fact. Most existing methods leverage inter-feature constraints by including known (or predicted) correlated features as inputs to the predictor, thus conditioning the result. Results By including correlated features as inputs, existing methods only rely on one side of the relation: the output feature is conditioned on the known input features. Here we show how to jointly improve the outputs of multiple correlated predictors by means of a probabilistic-logical consistency layer. The logical layer enforces a set of weighted first-order rules encoding biological constraints between the features, and improves the raw predictions so that they least violate the constraints. In particular, we show how to integrate three stand-alone predictors of correlated features: subcellular localization (Loctree [J Mol Biol 348:85–100, 2005]), disulfide bonding state (Disulfind [Nucleic Acids Res 34:W177–W181, 2006]), and metal bonding state (MetalDetector [Bioinformatics 24:2094–2095, 2008]), in a way that takes into account the respective strengths and weaknesses, and does not require any change to the predictors themselves. We also compare our methodology against two alternative refinement pipelines based on state-of-the-art sequential prediction methods. Conclusions The proposed framework is able to improve the performance of the underlying predictors by removing rule violations. We show that different predictors offer complementary advantages, and our method is able to integrate them using non-trivial constraints, generating more consistent predictions. In addition, our framework is fully general, and could in principle be applied to a vast

  11. Predictors of business return in New Orleans after Hurricane Katrina.

    PubMed

    Lam, Nina S N; Arenas, Helbert; Pace, Kelley; LeSage, James; Campanella, Richard

    2012-01-01

    We analyzed the business reopening process in New Orleans after Hurricane Katrina, which hit the region on August 29, 2005, to better understand what the major predictors were and how their impacts changed through time. A telephone survey of businesses in New Orleans was conducted in October 2007, 26 months after Hurricane Katrina. The data were analyzed using a modified spatial probit regression model to evaluate the importance of each predictor variable through time. The results suggest that the two most important reopening predictors throughout all time periods were the flood depth at the business location and business size as represented by its wages in a logarithmic form. Flood depth was a significant negative predictor and had the largest marginal effects on the reopening probabilities. Smaller businesses had lower reopening probabilities than larger ones. However, the nonlinear response of business size to the reopening probability suggests that recovery aid would be most effective for smaller businesses than for larger ones. The spatial spillovers effect was a significant positive predictor but only for the first nine months. The findings show clearly that flood protection is the overarching issue for New Orleans. A flood protection plan that reduces the vulnerability and length of flooding would be the first and foremost step to mitigate the negative effects from climate-related hazards and enable speedy recovery. The findings cast doubt on the current coastal protection efforts and add to the current debate of whether coastal Louisiana will be sustainable or too costly to protect from further land loss and flooding given the threat of sea-level rise. Finally, a plan to help small businesses to return would also be an effective strategy for recovery, and the temporal window of opportunity that generates the greatest impacts would be the first 6∼9 months after the disaster.

  12. A New Perspective for the Calibration of Computational Predictor Models.

    SciTech Connect

    Crespo, Luis Guillermo

    2014-11-01

    This paper presents a framework for calibrating computational models using data from sev- eral and possibly dissimilar validation experiments. The offset between model predictions and observations, which might be caused by measurement noise, model-form uncertainty, and numerical error, drives the process by which uncertainty in the models parameters is characterized. The resulting description of uncertainty along with the computational model constitute a predictor model. Two types of predictor models are studied: Interval Predictor Models (IPMs) and Random Predictor Models (RPMs). IPMs use sets to characterize uncer- tainty, whereas RPMs use random vectors. The propagation of a set through a model makes the response an interval valued function of the state, whereas the propagation of a random vector yields a random process. Optimization-based strategies for calculating both types of predictor models are proposed. Whereas the formulations used to calculate IPMs target solutions leading to the interval value function of minimal spread containing all observations, those for RPMs seek to maximize the models' ability to reproduce the distribution of obser- vations. Regarding RPMs, we choose a structure for the random vector (i.e., the assignment of probability to points in the parameter space) solely dependent on the prediction error. As such, the probabilistic description of uncertainty is not a subjective assignment of belief, nor is it expected to asymptotically converge to a fixed value, but instead it is a description of the model's ability to reproduce the experimental data. This framework enables evaluating the spread and distribution of the predicted response of target applications depending on the same parameters beyond the validation domain (i.e., roll-up and extrapolation).

  13. Predictors of business return in New Orleans after Hurricane Katrina.

    PubMed

    Lam, Nina S N; Arenas, Helbert; Pace, Kelley; LeSage, James; Campanella, Richard

    2012-01-01

    We analyzed the business reopening process in New Orleans after Hurricane Katrina, which hit the region on August 29, 2005, to better understand what the major predictors were and how their impacts changed through time. A telephone survey of businesses in New Orleans was conducted in October 2007, 26 months after Hurricane Katrina. The data were analyzed using a modified spatial probit regression model to evaluate the importance of each predictor variable through time. The results suggest that the two most important reopening predictors throughout all time periods were the flood depth at the business location and business size as represented by its wages in a logarithmic form. Flood depth was a significant negative predictor and had the largest marginal effects on the reopening probabilities. Smaller businesses had lower reopening probabilities than larger ones. However, the nonlinear response of business size to the reopening probability suggests that recovery aid would be most effective for smaller businesses than for larger ones. The spatial spillovers effect was a significant positive predictor but only for the first nine months. The findings show clearly that flood protection is the overarching issue for New Orleans. A flood protection plan that reduces the vulnerability and length of flooding would be the first and foremost step to mitigate the negative effects from climate-related hazards and enable speedy recovery. The findings cast doubt on the current coastal protection efforts and add to the current debate of whether coastal Louisiana will be sustainable or too costly to protect from further land loss and flooding given the threat of sea-level rise. Finally, a plan to help small businesses to return would also be an effective strategy for recovery, and the temporal window of opportunity that generates the greatest impacts would be the first 6∼9 months after the disaster. PMID:23133530

  14. Predictors of intention to use condoms among Chinese college students.

    PubMed

    Guo, Ruiling; McAleese, Willis J; Appleby, Karen M; Guo, Jianhui; Zhang, Wei; Huang, Yi; Peterson, Teri

    2014-08-01

    China is experiencing one of the fastest growing human immunodeficiency virus (HIV) epidemics in the world. Condom use is consistently low among Chinese college students. The purpose of this study was to identify the predictors that determine the intention to use condoms among Chinese college students applying the theory of planned behavior (TPB). A non-probability convenience sample of 433 participants was drawn from three universities in Central, Eastern, and Southwestern China, respectively. An anonymous written questionnaire was self-administered. Data were collected and analyzed descriptively and statistically using Predictive Analytical Software 19.0. Multiple linear regression was performed to identify the predictors among 402 participants with non-missing data. Eighteen percent (78/433) of the participants reported being sexually active in the past 6 months. The percentage of times these individuals reported using condoms during intercourse was 38.19%. Intention to use condoms was statistically significantly (R(2) = 50.4%) predicted by attitudes (β = 0.213), subjective norms (β = 0.259), and perceived behavior control (PBC) (β = 0.332). All predictors were statistically significant at the 0.001 level (p < 0.001). PBC was the strongest predictor of intention to use condoms. The study findings indicated that the TPB could be used as a framework to determine the predictors of intention to use condoms among the Chinese college students. It is recommended that the HIV education programs should increase the intention to use condoms through promoting positive attitudes, subjective norms and PBC of condom use in Chinese college students.

  15. Calibration of Predictor Models Using Multiple Validation Experiments

    NASA Technical Reports Server (NTRS)

    Crespo, Luis G.; Kenny, Sean P.; Giesy, Daniel P.

    2015-01-01

    This paper presents a framework for calibrating computational models using data from several and possibly dissimilar validation experiments. The offset between model predictions and observations, which might be caused by measurement noise, model-form uncertainty, and numerical error, drives the process by which uncertainty in the models parameters is characterized. The resulting description of uncertainty along with the computational model constitute a predictor model. Two types of predictor models are studied: Interval Predictor Models (IPMs) and Random Predictor Models (RPMs). IPMs use sets to characterize uncertainty, whereas RPMs use random vectors. The propagation of a set through a model makes the response an interval valued function of the state, whereas the propagation of a random vector yields a random process. Optimization-based strategies for calculating both types of predictor models are proposed. Whereas the formulations used to calculate IPMs target solutions leading to the interval value function of minimal spread containing all observations, those for RPMs seek to maximize the models' ability to reproduce the distribution of observations. Regarding RPMs, we choose a structure for the random vector (i.e., the assignment of probability to points in the parameter space) solely dependent on the prediction error. As such, the probabilistic description of uncertainty is not a subjective assignment of belief, nor is it expected to asymptotically converge to a fixed value, but instead it casts the model's ability to reproduce the experimental data. This framework enables evaluating the spread and distribution of the predicted response of target applications depending on the same parameters beyond the validation domain.

  16. Atmospheric predictors for major floods in the Negev Desert, Israel

    NASA Astrophysics Data System (ADS)

    Kahana, Ron; Ziv, Baruch; Dayan, Uri; Enzel, Yehouda

    2004-07-01

    The study examines the ability of a set of atmospheric variables to predict major floods in the Negev Desert in the southern part of Israel. The two dominant synoptic types, which contributed over 70% of the major floods during 1965-94 in that region, were examined. These are: the active Red Sea trough (ARST), a surface trough along the Red Sea, combined with a pronounced upper trough; and the Syrian low (SL), an intense Mediterranean cyclone centred over Syria.For each synoptic type, a set of atmospheric variables (predictors) was chosen to reflect its unique atmospheric features, and a prediction score was calculated as the ratio between the number of flood-producing storms and the total number of events in which all the variables exceeded their threshold values.The prediction score for the ARST type is 86%. Moreover, the predictors identify the major flood dates without any false date (100%) for 4 of the 5 months in which major floods of this type had occurred. Most of the predictors are found at the 500 hPa level, and the most powerful is the v/u ratio, which represents the southerly wind component and is responsible for the transport of moist tropical air masses (essential for convection) toward the Middle East. The prediction score for the SL type is 73%. The intensity and structure of the surface cyclone are found to be most powerful predictors, although the importance of geopotential height at 500 hPa indicates that these types of flood depend on the combined effect of several factors. Transforming these remarkably high scores into a high-skill operational forecast of major floods in the Negev requires reliable forecast models to supply the desired variables with reasonable accuracy. It seems that the current operational models, together with our derived predictors, have the potential to yield a successful forecast of major floods 2 days in advance.

  17. Predictors of Business Return in New Orleans after Hurricane Katrina

    PubMed Central

    Lam, Nina S. N.; Arenas, Helbert; Pace, Kelley; LeSage, James; Campanella, Richard

    2012-01-01

    We analyzed the business reopening process in New Orleans after Hurricane Katrina, which hit the region on August 29, 2005, to better understand what the major predictors were and how their impacts changed through time. A telephone survey of businesses in New Orleans was conducted in October 2007, 26 months after Hurricane Katrina. The data were analyzed using a modified spatial probit regression model to evaluate the importance of each predictor variable through time. The results suggest that the two most important reopening predictors throughout all time periods were the flood depth at the business location and business size as represented by its wages in a logarithmic form. Flood depth was a significant negative predictor and had the largest marginal effects on the reopening probabilities. Smaller businesses had lower reopening probabilities than larger ones. However, the nonlinear response of business size to the reopening probability suggests that recovery aid would be most effective for smaller businesses than for larger ones. The spatial spillovers effect was a significant positive predictor but only for the first nine months. The findings show clearly that flood protection is the overarching issue for New Orleans. A flood protection plan that reduces the vulnerability and length of flooding would be the first and foremost step to mitigate the negative effects from climate-related hazards and enable speedy recovery. The findings cast doubt on the current coastal protection efforts and add to the current debate of whether coastal Louisiana will be sustainable or too costly to protect from further land loss and flooding given the threat of sea-level rise. Finally, a plan to help small businesses to return would also be an effective strategy for recovery, and the temporal window of opportunity that generates the greatest impacts would be the first 6∼9 months after the disaster. PMID:23133530

  18. Predictors of intention to use condoms among Chinese college students.

    PubMed

    Guo, Ruiling; McAleese, Willis J; Appleby, Karen M; Guo, Jianhui; Zhang, Wei; Huang, Yi; Peterson, Teri

    2014-08-01

    China is experiencing one of the fastest growing human immunodeficiency virus (HIV) epidemics in the world. Condom use is consistently low among Chinese college students. The purpose of this study was to identify the predictors that determine the intention to use condoms among Chinese college students applying the theory of planned behavior (TPB). A non-probability convenience sample of 433 participants was drawn from three universities in Central, Eastern, and Southwestern China, respectively. An anonymous written questionnaire was self-administered. Data were collected and analyzed descriptively and statistically using Predictive Analytical Software 19.0. Multiple linear regression was performed to identify the predictors among 402 participants with non-missing data. Eighteen percent (78/433) of the participants reported being sexually active in the past 6 months. The percentage of times these individuals reported using condoms during intercourse was 38.19%. Intention to use condoms was statistically significantly (R(2) = 50.4%) predicted by attitudes (β = 0.213), subjective norms (β = 0.259), and perceived behavior control (PBC) (β = 0.332). All predictors were statistically significant at the 0.001 level (p < 0.001). PBC was the strongest predictor of intention to use condoms. The study findings indicated that the TPB could be used as a framework to determine the predictors of intention to use condoms among the Chinese college students. It is recommended that the HIV education programs should increase the intention to use condoms through promoting positive attitudes, subjective norms and PBC of condom use in Chinese college students. PMID:24390740

  19. Student- and Instruction-Level Predictors of Narrative Writing in Third-Grade Students

    ERIC Educational Resources Information Center

    Olinghouse, Natalie G.

    2008-01-01

    This study examined the student-level and instruction-level predictors of narrative writing fluency and quality. Participants included 120 third-grade students from 13 classrooms. Student predictors included measures of reading, handwriting, spelling, IQ, grammatical understanding, and gender. Instructional predictors focused on the amount of time…

  20. Situational and Intrapersonal Predictors of School and Life Satisfaction of Elementary School Students

    ERIC Educational Resources Information Center

    Drost, Amy Linden

    2012-01-01

    This study examined predictors of school and life satisfaction of fifth-grade students. Two situational predictor variables (school climate and school stress) and two intrapersonal predictor variables (locus of control and academic self-concept) were examined. It was hypothesized that positive school climate, low levels of school stress, internal…

  1. Predictors of early continence following robot-assisted radical prostatectomy

    PubMed Central

    Lavigueur-Blouin, Hugo; Noriega, Alina Camacho; Valdivieso, Roger; Hueber, Pierre-Alain; Bienz, Marc; Alhathal, Naif; Latour, Mathieu; Trinh, Quoc-Dien; El-Hakim, Assaad; Zorn, Kevin C.

    2015-01-01

    Introduction: Functional outcomes after robot-assisted radical prostatectomy (RARP) greatly influence patient quality of life. Data regarding predictors of early continence, especially 1 month following RARP, are limited. Previous reports mainly address immediate or 3-month postoperative continence rates. We examine preoperative predictors of pad-free continence recovery at the first follow-up visit 1 month after RARP. Methods: Between January 2007 and January 2013, preoperative and follow-up data were prospectively collected for 327 RARP patients operated on by 2 fellowship-trained surgeons (AEH and KCZ). Patient and operative characteristics included age, body mass index (BMI), staging, preoperative prostate-specific antigen (PSA), prostate weight, International Prostate Symptom Score (IPSS), Sexual Health Inventory for Men (SHIM) score and type of nerve-sparing performed. Continence was defined by 0-pad usage at 1 month follow-up. Univariate and multivariate logistic regression models were used to assess for predictors of early continence. Results: Overall, 44% of patients were pad-free 1 month post-RARP. In multivariate regression analysis, age (odds ratio [OR] 0.946, confidence interval [CI] 95%: 0.91, 0.98) and IPSS (OR: 0.953, CI 95%: 0.92, 0.99) were independent predictors of urinary continence 1 month following RARP. Other variables (BMI, staging, preoperative PSA, SHIM score, prostate weight and type of nerve-sparing) were not statistically significant predictors of early continence. Limitations of this study include missing data for comorbidities, patient use of pelvic floor exercises and patient maximal activity. Moreover, patient-reported continence using a 0-pad usage definition represents a semiquantitative and subjective measurement. Conclusion: In a broad population of patients who underwent RARP at our institution, 44% of patients were pad-free at 1 month. Age and IPSS were independent predictors of early continence after surgery. Men of advanced

  2. Predictors of Revision Surgery After Primary Anterior Cruciate Ligament Reconstruction

    PubMed Central

    Yabroudi, Mohammad A.; Björnsson, Haukur; Lynch, Andrew D.; Muller, Bart; Samuelsson, Kristian; Tarabichi, Majd; Karlsson, Jón; Fu, Freddie H.; Harner, Christopher D.; Irrgang, James J.

    2016-01-01

    Background: Revision anterior cruciate ligament (ACL) reconstruction surgery occurs in 5% to 15% of individuals undergoing ACL reconstruction. Identifying predictors for revision ACL surgery is of essence in the pursuit of creating adequate prevention programs and to identify individuals at risk for reinjury and revision. Purpose: To determine predictors of revision ACL surgery after failed primary ACL reconstruction. Study Design: Case-control study; Level of evidence, 3. Methods: A total of 251 participants (mean age ± SD, 26.1 ± 9.9 years) who had undergone primary ACL reconstruction 1 to 5 years earlier completed a comprehensive survey to determine predictors of revision ACL surgery at a mean 3.4 ± 1.3 years after the primary ACL reconstruction. Potential predictors that were assessed included subject characteristics (age at the time of surgery, time from injury to surgery, sex, body mass index, preinjury activity level, return to sport status), details of the initial injury (mechanism; concomitant injury to other ligaments, menisci, and cartilage), surgical details of the primary reconstruction (Lachman and pivot shift tests under anesthesia, graft type, femoral drilling technique, reconstruction technique), and postoperative course (length of rehabilitation, complications). Univariate and multivariate logistic regression analyses were performed to identify factors that predicted the need for revision ACL surgery. Results: Overall, 21 (8.4%) subjects underwent revision ACL surgery. Univariate analysis showed that younger age at the time of surgery (P = .003), participation in sports at a competitive level (P = .023), and double-bundle ACL reconstruction (P = .024) predicted increased risk of revision ACL surgery. Allograft reconstructions also demonstrated a trend toward greater risk of revision ACL surgery (P = .076). No other variables were significantly associated with revision ACL surgery. Multivariate analysis revealed that revision ACL surgery was

  3. Predictors of adult attitudes toward corporal punishment of children.

    PubMed

    Gagné, Marie-Hélène; Tourigny, Marc; Joly, Jacques; Pouliot-Lapointe, Joëlle

    2007-10-01

    This study identifies predictors of favorable attitudes toward spanking. Analyses were performed with survey data collected from a representative sample of 1,000 adults from Quebec, Canada. According to this survey, a majority of respondents endorsed spanking, despite their recognition of potential harm associated with corporal punishment (CP) of children. The prediction model of attitudes toward spanking included demographics, experiencing or witnessing various forms of family violence and abuse in childhood, and perceived frequency of physical injuries resulting from CP. Spanking was the most reported childhood experience (66.4%), and most violence and abuse predictors were significantly and positively correlated. Older respondents who were spanked in childhood and who believed that spanking never or seldom results in physical injuries were the most in favor of spanking. On the other hand, respondents who reported more severe physical violence or psychological abuse in childhood were less in favor of spanking. Findings are discussed in terms of prevention of CP and family coercion cycle.

  4. Morphometric features as tribal predictors in north-western Amazonia.

    PubMed

    Milton, K

    1983-01-01

    Multivariate analyses of variance were carried out on stature and weight of 50 adults (25 males, 25 females) from each of two linguistically distinct groups, Maku and Tukanoan, living sympatrically in north-western Amazonia. Results showed significant intertribal differences, with Maku (sylvan hunter-gatherers) being both shorter and lighter than their Tukanoan (riparian fisher-gardeners) conspecifics. Classification with a linear discrimination function achieved 80% accuracy. Stature or weight were equally good predictors of group for men, but for women weight rather than stature was a more powerful predictor. These data offer support for the view that some factor(s) associated with life within the equatorial forest environment appear to select for generally small body physique in humans. PMID:6638939

  5. Encke-Beta Predictor for Orion Bum Targeting and Guidance

    NASA Technical Reports Server (NTRS)

    Robinson, Shane; Scarritt, Sara; Goodman, John L.

    2016-01-01

    The state vector prediction algorithm selected for Orion on-board targeting and guidance is known as the Encke-Beta method. Encke-Beta uses a universal anomaly (beta) as the independent variable, valid for circular, elliptical, parabolic, and hyperbolic orbits. The variable, related to the change in eccentric anomaly, results in integration steps that cover smaller arcs of the trajectory at or near perigee, when velocity is higher. Some burns in the EM-1 and EM-2 mission plans are much longer than burns executed with the Apollo and Space Shuttle vehicles. Burn length, as well as hyperbolic trajectories, has driven the use of the Encke-Beta numerical predictor by the predictor/corrector guidance algorithm in place of legacy analytic thrust and gravity integrals.

  6. Predictors of CBT outcome in older adults with GAD.

    PubMed

    Hundt, Natalie E; Amspoker, Amber B; Kraus-Schuman, Cynthia; Cully, Jeffrey A; Rhoades, Howard; Kunik, Mark E; Stanley, Melinda A

    2014-12-01

    The current study is a secondary analysis of data from a randomized controlled trial of CBT for late-life GAD (Stanley et al., 2014) which provided an opportunity to examine predictors of outcome among those who received CBT. Participants were 150 older adults who were randomized to receive 10 sessions of CBT. Completer analyses found that homework completion, number of sessions attended, lower worry severity, lower depression severity, and recruitment site predicted 6-month worry outcome on the PSWQ-A, whereas homework completion, credibility of the therapy, lower anxiety severity, and site predicted 6-month anxiety outcome on the STAI-T. In intent-to-treat multivariate analyses, however, only initial worry and anxiety severity, site, and number of sessions completed predicted treatment outcome. These results are largely consistent with predictors of outcome in younger adults and suggest that lower initial symptom severity and variables consistent with greater engagement in treatment predict outcome. PMID:25445074

  7. Illicit substance use among adolescents: a matrix of prospective predictors.

    PubMed

    Petraitis, J; Flay, B R; Miller, T Q; Torpy, E J; Greiner, B

    1998-11-01

    This paper reviews findings from 58 prospective studies of illicit substance use (ISU) among adolescents. It arranges 384 findings according to three types of influence (viz., social, attitudinal, and intrapersonal) and four levels of influence (viz., ultimate, distal, proximal, and immediate). The bulk of evidence reconfirms the importance of several predictors of ISU (e.g., intentions and prior substance-related behavior, friendship patterns and peer behaviors, absence of supportive parents, psychological temperament), reveals that a few variables thought to be well-established predictors may not be (e.g., parental behaviors, parental permissiveness, depression, low self-esteem), and uncovers several variables where findings were either sparse or inconsistent (e.g., the role of public policies concerning ISU, mass media depictions of ISU, certain parenting styles, affective states, perceptions of parental disapproval for ISU, and substance-specific refusal skills). Directions for future research are discussed. PMID:9818990

  8. Prevalence and predictors of posttraumatic growth in accidentally injured patients.

    PubMed

    Wang, Yanbo; Wang, Hongbiao; Wang, Ji; Wu, Jing; Liu, Xiaohong

    2013-03-01

    This study examined prevalence and predictors of posttraumatic growth in 180 accidentally injured patients of mainland China in their convalescence stage, investigating its relationships with demographic and accidental injury variables, personality, posttraumatic stress disorder (PTSD) symptoms, and coping styles. Our results showed that posttraumatic growth (PTG) presented mostly in the domain of Relating to Others and indicated that PTG was significantly related to marital status, educational level, personality, coping styles, and PTSD symptoms. Avoidance of PTSD symptoms, Openness to experience, and positive coping were significant predictors of PTG. The findings emphasize that when promoting PTG of accidentally injured patients, healthcare providers should facilitate patients utilizing personal resources, understand PTG coexists with PTSD symptoms, and adjust interventions based on the coping styles the patients have adopted.

  9. Predictors of body dissatisfaction in a Hispanic college student sample.

    PubMed

    Blow, Julie; Cooper, Theodore V

    2014-01-01

    This study assessed the impact of demographic, mood, acculturation, weight, and accurate weight feedback on body dissatisfaction and satisfaction. One hundred and sixty Hispanic college students completed measures assessing depressive symptoms, acculturation, affect, and body image. Participants were randomized to receive immediate or delayed weight feedback. Three multiple regression analyses assessed predictors of body dissatisfaction, body weight and fitness happiness, and perceived attractiveness. A hierarchical regression model assessed body dissatisfaction after receiving feedback. Results indicate that greater body dissatisfaction was associated with females, greater depressive symptomatology, and higher weight. Body weight and fitness happiness was associated with males and greater positive affect. Perceived attractiveness was related to smoking, greater positive affect, and greater importance placed on weight. Body dissatisfaction was not impacted by accurate weight feedback. Studies assessing the impact of these predictors in weight loss and/or body acceptance interventions are warranted, particularly in Hispanic college students. PMID:24411740

  10. Predictors of substance abuse treatment participation among homeless adults.

    PubMed

    Ibabe, Izaskun; Stein, Judith A; Nyamathi, Adeline; Bentler, Peter M

    2014-03-01

    The current study focuses on the relationships among a trauma history, a substance use history, chronic homelessness, and the mediating role of recent emotional distress in predicting drug treatment participation among adult homeless people. We explored the predictors of participation in substance abuse treatment because enrolling and retaining clients in substance abuse treatment programs is always a challenge particularly among homeless people. Participants were 853 homeless adults from Los Angeles, California. Using structural equation models, findings indicated that trauma history, substance use history and chronicity of homelessness were associated, and were significant predictors of greater recent emotional distress. The most notable result was that recent emotional distress predicted less participation in current substance abuse treatment (both formal and self-help) whereas a substance use history alone predicted significantly more participation in treatment. Implications concerning treatment engagement and difficulties in obtaining appropriate dual-diagnosis services for homeless mentally distressed individuals are discussed. PMID:24238716

  11. Defense Mechanisms in Adolescence as Predictors of Adult Personality Disorders.

    PubMed

    Strandholm, Thea; Kiviruusu, Olli; Karlsson, Linnea; Miettunen, Jouko; Marttunen, Mauri

    2016-05-01

    Our study examines whether defense styles and separate defenses in depressed adolescent outpatients predict adult personality disorders (PDs). We obtained data from consecutive adolescent outpatients who participated in the Adolescent Depression Study at baseline and at the 8-year follow-up (N = 140). Defense styles were divided into mature, neurotic, image-distorting, and immature and a secondary set of analyses were made with separate defenses as predictors of a PD diagnosis. Neurotic, image-distorting, and immature defense styles in adolescence were associated with adulthood PDs. Neurotic defense style associated with cluster B diagnosis and image-distorting defense style associated with cluster A diagnosis. Separate defenses of displacement, isolation, and reaction formation were independent predictors of adult PD diagnosis even after adjusting for PD diagnosis in adolescence. Defense styles and separate defenses predict later PDs and could be used in the focusing of treatment interventions for adolescents.

  12. Academic predictors of success in a nursing program.

    PubMed

    Wolkowitz, Amanda A; Kelley, Jeffrey A

    2010-09-01

    The academic content areas that best predict success early in a nursing program affect admission and placement decisions in nursing programs nationwide. The purpose of this research was to apply a multiple regression model to student test scores to determine the relative strength of science, mathematics, reading, and English content areas in predicting early nursing school success. Using a standardized nursing entrance examination, the subtest scores of these four academic areas for 4,105 registered nurse students were used as the predictors in the regression model. Performance on a standardized Fundamentals of Nursing assessment was the criterion variable. Results confirmed those found in the majority of the literature indicating that science is both a statistically significant predictor and the strongest of the four content areas in the prediction of early nursing program success.

  13. Illicit substance use among adolescents: a matrix of prospective predictors.

    PubMed

    Petraitis, J; Flay, B R; Miller, T Q; Torpy, E J; Greiner, B

    1998-11-01

    This paper reviews findings from 58 prospective studies of illicit substance use (ISU) among adolescents. It arranges 384 findings according to three types of influence (viz., social, attitudinal, and intrapersonal) and four levels of influence (viz., ultimate, distal, proximal, and immediate). The bulk of evidence reconfirms the importance of several predictors of ISU (e.g., intentions and prior substance-related behavior, friendship patterns and peer behaviors, absence of supportive parents, psychological temperament), reveals that a few variables thought to be well-established predictors may not be (e.g., parental behaviors, parental permissiveness, depression, low self-esteem), and uncovers several variables where findings were either sparse or inconsistent (e.g., the role of public policies concerning ISU, mass media depictions of ISU, certain parenting styles, affective states, perceptions of parental disapproval for ISU, and substance-specific refusal skills). Directions for future research are discussed.

  14. Personal predictors of spectator aggression at little league baseball games.

    PubMed

    Hennessy, Dwight A; Schwartz, Stephen

    2007-01-01

    Parents from two baseball leagues completed questionnaires regarding their likelihood of engaging in various aggressive behaviors (yelling, swearing, shoving, fighting, humiliating) toward targets at youth baseball games (other spectators, umpires, coaches, other players, their child). Overall, the likelihood of all forms of aggression was very low, particularly physical aggression and swearing. Hierarchical entry stepwise regressions were calculated to determine predictors of yelling and humiliating using demographics, trait aggression, anger, hostility, and vengeance as predictors. Parents with greater hostility reported a greater likelihood of humiliating a child's teammate, while those with elevated trait anger reported a greater likelihood of yelling at other spectators. Finally, parents with a more vengeful attitude reported a greater likelihood of humiliating umpires.

  15. Longitudinal Predictors of Bipolar Spectrum Disorders: A Behavioral Approach System (BAS) Perspective

    PubMed Central

    Alloy, Lauren B.; Abramson, Lyn Y.; Urosevic, Snezana; Bender, Rachel E.; Wagner, Clara A.

    2009-01-01

    We review longitudinal predictors, primarily psychosocial, of the onset, course, and expression of bipolar spectrum disorders. We organize our review along a proximal – distal continuum, discussing the most proximal (i.e., prodromes) predictors of bipolar episodes first, then recent environmental (i.e., life events) predictors of bipolar symptoms and episodes next, followed by more distal psychological (i.e., cognitive styles) predictors, and ending with the most distal temperament (i.e., Behavioral Approach System sensitivity) predictors. We then present a theoretical model, the Behavioral Approach System (BAS) dysregulation model, for understanding and integrating the role of these predictors of bipolar spectrum disorders. Finally, we consider the implications of the reviewed longitudinal predictors for future research and psychosocial treatments of bipolar disorders. PMID:20161008

  16. Prevalence and predictors of adult hypertension in Kabul, Afghanistan

    PubMed Central

    2014-01-01

    Background The prevalence of hypertension is rising worldwide with an estimated one billion people now affected globally and is of near epidemic proportions in many parts of South Asia. Recent turmoil has until recently precluded estimates in Afghanistan so we sought, therefore, to establish both prevalence predictors in our population. Methods We conducted a cross-sectional study of adults ≥40 years of age in Kabul from December 2011-March 2012 using a multistage sampling method. Additional data on socioeconomic and lifestyle factors were collected as well as an estimate of glycaemic control. Bivariate and multivariable analyses were undertaken to explore the association between hypertension and potential predictors. Results A total of 1183 adults (men 396, women 787) of ≥ 40years of age were assessed. The prevalence of hypertension was 46.2% (95% CI 43.5 – 49.3). Independent predictors of hypertension were found to be: age ≥50 (OR = 3.86, 95% CI: 2.86 – 5.21); illiteracy (OR = 1.90, 1.05 – 1.90); the consumption of rice >3 times per week (OR = 1.43, 1.07 – 1.91); family history of diabetes (OR = 2.20, 1.30 – 3.75); central obesity (OR = 1.67, 1.23 – 2.27); BMI ≥ 30 Kg/meter squared (OR = 2.08, 1.50 – 2.89). The consumption of chicken and fruit more than three times per week were protective with ORs respectively of 0.73 (0.55-0.97) and 0.64 (0.47 – 0.86). Conclusions Hypertension is a major public health problem in Afghan adults. We have identified a number of predictors which have potential for guiding interventions. PMID:24754870

  17. Comparison and validation of genomic predictors for anticancer drug sensitivity

    PubMed Central

    Papillon-Cavanagh, Simon; De Jay, Nicolas; Hachem, Nehme; Olsen, Catharina; Bontempi, Gianluca; Aerts, Hugo J W L; Quackenbush, John; Haibe-Kains, Benjamin

    2013-01-01

    Background An enduring challenge in personalized medicine lies in selecting the right drug for each individual patient. While testing of drugs on patients in large trials is the only way to assess their clinical efficacy and toxicity, we dramatically lack resources to test the hundreds of drugs currently under development. Therefore the use of preclinical model systems has been intensively investigated as this approach enables response to hundreds of drugs to be tested in multiple cell lines in parallel. Methods Two large-scale pharmacogenomic studies recently screened multiple anticancer drugs on over 1000 cell lines. We propose to combine these datasets to build and robustly validate genomic predictors of drug response. We compared five different approaches for building predictors of increasing complexity. We assessed their performance in cross-validation and in two large validation sets, one containing the same cell lines present in the training set and another dataset composed of cell lines that have never been used during the training phase. Results Sixteen drugs were found in common between the datasets. We were able to validate multivariate predictors for three out of the 16 tested drugs, namely irinotecan, PD-0325901, and PLX4720. Moreover, we observed that response to 17-AAG, an inhibitor of Hsp90, could be efficiently predicted by the expression level of a single gene, NQO1. Conclusion These results suggest that genomic predictors could be robustly validated for specific drugs. If successfully validated in patients’ tumor cells, and subsequently in clinical trials, they could act as companion tests for the corresponding drugs and play an important role in personalized medicine. PMID:23355484

  18. Predictors of Prenatal Empowerment Among Iranian Pregnant Women

    PubMed Central

    Borghei, Narjes Sadat; Taghipour, Ali; Roudsari, Robab Latifnejad; Keramat, Afsaneh; Noghabi, Hadi Jabbari

    2016-01-01

    Introduction Considering that empowering expectant mothers is an important issue to maintain a healthy pregnancy, this study was conducted to evaluate the predictors of empowerment among Iranian pregnant women. Methods This cross sectional study was conducted in Golestan, North of Iran in 2015. A total number of 161 pregnant women were selected through random cluster sampling from urban health centers, using PASS software. The socio-political, educational, and mental-financial predictors of empowerment were measured using a self-structured questionnaire during pregnancy and was analyzed by a linear regression model using SPSS version 16. Results The findings of linear regression showed that educational dimension of empowerment had the highest coefficient in the regression model, on total empowerment (βeta standardized coefficient [β]=0.696 with DW=1.830 and means error=0). The total empowerment score of pregnant women was controlled by individual factors such as the age of marriage (β-0.228), employment (β-0.210), and educational factors such as participation in prenatal education classes (β-0.246), and moral issues such as sense of spiritual support (β-0.217). Conclusion By recognizing and observing predictors of empowerment during pregnancy, health care providers can increase women’s power over their pregnancy. Educational predictors of empowerment were the most important factors to empower women during pregnancy. The objective of childbirth education classes, therefore, should shift from simply giving information to women, towards giving them appropriate knowledge in order to provide them with empowerment during pregnancy. PMID:27790351

  19. Predictors of Successful Clinical Performance in Associate Degree Nursing Students.

    PubMed

    Rice, Eileen

    2015-01-01

    The purpose of this study was to explore self-efficacy and emotional intelligence (EI) as predictors for successful clinical performance in nursing students. Students (n = 56) from 5 associate degree in nursing (ADN) schools in 2 Northeastern states participated in the study. Findings demonstrated significant relationships among EI, self-efficacy, and student-rated clinical competence. The findings from this study support the importance of fostering clinical self-efficacy and building EI abilities in ADN students. PMID:25628244

  20. Avoiding DWI Among Bar-room Drinkers: Strategies and Predictors

    PubMed Central

    Caudill, Barry D.; Rogers, John W.; Howard, Jan; Frissell, Kevin C.; Harding, Wayne M.

    2010-01-01

    We examined the prevalence and predictors of 11strategies to avoid driving when feeling intoxicated among 561 bar-room patrons in two medium-sized Maryland communities. Logistic regression analyses identified demographic, behavioral, and attitudinal predictors of avoidance strategies and interactions among predictors. Overall, 89% reported one or more DWI avoidance actions in the past year, and 38% reported driving intoxicated during that time. Average frequencies of avoidance behavior and intoxicated driving increased significantly as drinking level increased. However, the higher the drinking level, the smaller the ratio of avoidance actions to DWI experiences, highlighting the vulnerability of heavy drinkers who had driven intoxicated. Using a sober driver or one who allegedly drank less than the respondent were the most popular and frequent strategies, but paying for a cab, walking, and using a bus or free cab were relatively unpopular. Higher drinking levels predicted significantly higher odds of using avoidance approaches, as did intoxicated driving. Confidence in driving safely when intoxicated was positively related to drinking level and intoxicated driving, but it tended to predict lower odds of avoidance actions. Similarly, marital status, age, gender, and location influenced the odds of avoidance behaviors. Interventions should be strategically tailored to exploit or counter drinker predilections among avoidance options. PMID:22879742

  1. Predictors of Suicide Attempts in Clinically Depressed Korean Adolescents

    PubMed Central

    Kwon, Ahye; Song, Jungeun; Yook, Ki-Hwan; Jon, Duk-In; Jung, Myung Hun; Hong, Narei; Hong, Hyun Ju

    2016-01-01

    We examined predictors of suicide attempts in clinically depressed adolescents in Korea and gender differences in suicidal behavior. In total, 106 adolescents diagnosed with depressive disorder were recruited in South Korea. We assessed various variables that might affect suicide attempts, and used a structured interview for the diagnosis of depression and comorbidities and to evaluate suicidality. Demographic and clinical characteristics of the subjects were compared between suicide attempt and non-suicide attempt groups and we examined significant predictors of suicide attempts. Gender differences in suicidal ideation and suicidal behavior were also analyzed. Among 106 depressed participants, 50 (47.2%) adolescents were classified in the suicide attempt group. Generally, the suicide attempt and non-suicide attempt group shared similar clinical characteristics. The suicide attempt group had more females, more major depressive disorder diagnoses, more depressive episodes, and higher suicidal ideation than the non-suicide attempt group. Suicidal ideation was the only significant predictor of suicidal attempt, regardless of gender. Higher suicidal ideation frequency scores and more non-suicidal self-injurious behaviors were shown in the female suicide attempt group than the male suicide attempt group. It is recommended that suicidal ideation be assessed regularly and managed rigorously to decrease suicide risks in depressive adolescents. PMID:27776392

  2. Predictors of Energy Compensation during Exercise Interventions: A Systematic Review

    PubMed Central

    Riou, Marie-Ève; Jomphe-Tremblay, Simon; Lamothe, Gilles; Stacey, Dawn; Szczotka, Agnieszka; Doucet, Éric

    2015-01-01

    Weight loss from exercise-induced energy deficits is usually less than expected. The objective of this systematic review was to investigate predictors of energy compensation, which is defined as body energy changes (fat mass and fat-free mass) over the total amount of exercise energy expenditure. A search was conducted in multiple databases without date limits. Of 4745 studies found, 61 were included in this systematic review with a total of 928 subjects. The overall mean energy compensation was 18% ± 93%. The analyses indicated that 48% of the variance of energy compensation is explained by the interaction between initial fat mass, age and duration of exercise interventions. Sex, frequency, intensity and dose of exercise energy expenditure were not significant predictors of energy compensation. The fitted model suggested that for a shorter study duration, lower energy compensation was observed in younger individuals with higher initial fat mass (FM). In contrast, higher energy compensation was noted for younger individuals with lower initial FM. From 25 weeks onward, energy compensation was no longer different for these predictors. For studies of longer duration (about 80 weeks), the energy compensation approached 84%. Lower energy compensation occurs with short-term exercise, and a much higher level of energy compensation accompanies long-term exercise interventions. PMID:25988763

  3. Lossless coding using predictors and VLCs optimized for each image

    NASA Astrophysics Data System (ADS)

    Matsuda, Ichiro; Shirai, Noriyuki; Itoh, Susumu

    2003-06-01

    This paper proposes an efficient lossless coding scheme for still images. The scheme utilizes an adaptive prediction technique where a set of linear predictors are designed for a given image and an appropriate predictor is selected from the set block-by-block. The resulting prediction errors are encoded using context-adaptive variable-length codes (VLCs). Context modeling, or adaptive selection of VLCs, is carried out pel-by-pel and the VLC assigned to each context is designed on a probability distribution model of the prediction errors. In order to improve coding efficiency, a generalized Gaussian function is used as the model for each context. Moreover, not only the predictors but also parameters of the probability distribution models are iteratively optimized for each image so that a coding rate of the prediction errors can have a minimum. Experimental results show that the proposed coding scheme attains comparable coding performance to the state-of-the-art TMW scheme with much lower complexity in the decoding process.

  4. Predictors of Chain Acquisition among Independent Dialysis Facilities

    PubMed Central

    Pozniak, Alyssa S; Hirth, Richard A; Banaszak-Holl, Jane; Wheeler, John R C

    2010-01-01

    Objective To determine the predictors of chain acquisition among independent dialysis providers. Data Sources Retrospective facility-level data combined from CMS Cost Reports, Medical Evidence Forms, Annual Facility Surveys, and claims for 1996–2003. Study Design Independent dialysis facilities' probability of acquisition by a dialysis chain (overall and by chain size) was estimated using a discrete time hazard rate model, controlling for financial and clinical performance, practice patterns, market factors, and other facility characteristics. Data Collection The sample includes all U.S. freestanding dialysis facilities that report not being chain affiliated for at least 1 year between 1997 and 2003. Principal Findings Above-average costs and better quality outcomes are significant determinants of dialysis chain acquisition. Facilities in larger markets were more likely to be acquired by a chain. Furthermore, small dialysis chains have different acquisition strategies than large chains. Conclusions Dialysis chains appear to employ a mix of turn-around and cream-skimming strategies. Poor financial health is a predictor of chain acquisition as in other health care sectors, but the increased likelihood of chain acquisition among higher quality facilities is unique to the dialysis industry. Significant differences among predictors of acquisition by small and large chains reinforce the importance of using a richer classification for chain status. PMID:20148985

  5. Identifying predictors of time-inhomogeneous viral evolutionary processes

    PubMed Central

    Bielejec, Filip; Baele, Guy; Rodrigo, Allen G.; Suchard, Marc A.; Lemey, Philippe

    2016-01-01

    Various factors determine the rate at which mutations are generated and fixed in viral genomes. Viral evolutionary rates may vary over the course of a single persistent infection and can reflect changes in replication rates and selective dynamics. Dedicated statistical inference approaches are required to understand how the complex interplay of these processes shapes the genetic diversity and divergence in viral populations. Although evolutionary models accommodating a high degree of complexity can now be formalized, adequately informing these models by potentially sparse data, and assessing the association of the resulting estimates with external predictors, remains a major challenge. In this article, we present a novel Bayesian evolutionary inference method, which integrates multiple potential predictors and tests their association with variation in the absolute rates of synonymous and non-synonymous substitutions along the evolutionary history. We consider clinical and virological measures as predictors, but also changes in population size trajectories that are simultaneously inferred using coalescent modelling. We demonstrate the potential of our method in an application to within-host HIV-1 sequence data sampled throughout the infection of multiple patients. While analyses of individual patient populations lack statistical power, we detect significant evidence for an abrupt drop in non-synonymous rates in late stage infection and a more gradual increase in synonymous rates over the course of infection in a joint analysis across all patients. The former is predicted by the immune relaxation hypothesis while the latter may be in line with increasing replicative fitness during the asymptomatic stage. PMID:27774306

  6. Predictor-Corrector Entry Guidance for Reusable Launch Vehicles

    NASA Technical Reports Server (NTRS)

    Youssef, Hussein; Chowdhry, Rajiv; Lee, Howard; Zimmerman, Curtis; Brandon, Larry (Technical Monitor)

    2001-01-01

    An online entry guidance algorithm has been developed using a predictor-corrector approach. The algorithm is designed for the Reusable Launch Vehicle (RLV) and is demonstrated by using, the X-33 model. The objective of the design is to handle widely dispersed entry conditions and deliver the vehicle at the Terminal Area Energy Management (TAEM) interface box within an acceptable tolerance and without violating any of the vehicle physical constraints. Combination of several control variables is used in testing the performance and computational requirement of the algorithm. The control variables are the bank angle, angle-of-attack and the time for roll reversal. The bank angle and angle-of-attack profiles are the nominal profiles plus the perturbations in each direction. The initial guess of the bank profile is a 45 degrees bank angle with reversal at 360 seconds from liftoff. A six-element state vector is propagated to the TAEM interface box through the integration of the equations of motion (EOM). Altitude, heading and range errors are computed between the desired and the achieved state at the TAEM interface. These errors are used to correct the initial guess of the control variables. This process is repeated until the errors meet an acceptable level at the TAEM interface. Several numerical optimization methods are used to evaluate the convergent property of the predictor-predictor methodology. Successful results are demonstrated using the X-33 model.

  7. Motor coordination as predictor of physical activity in childhood.

    PubMed

    Lopes, V P; Rodrigues, L P; Maia, J A R; Malina, R M

    2011-10-01

    This study considers relationships among motor coordination (MC), physical fitness (PF) and physical activity (PA) in children followed longitudinally from 6 to 10 years. It is hypothesized that MC is a significant and primary predictor of PA in children. Subjects were 142 girls and 143 boys. Height, weight and skinfolds; PA (Godin-Shephard questionnaire); MC (Körperkoordination Test für Kinder); and PF (five fitness items) were measured. Hierarchical linear modeling with MC and PF as predictors of PA was used. The retained model indicated that PA at baseline differed significantly between boys (48.3 MET/week) and girls (40.0 MET/week). The interaction of MC and 1 mile run/walk had a positive influence on level of PA. The general trend for a decrease in PA level across years was attenuated or amplified depending on initial level of MC. The estimated rate of decline in PA was negligible for children with higher levels of MC at 6 years, but was augmented by 2.58 and 2.47 units each year, respectively, for children with low and average levels of initial MC. In conclusion MC is an important predictor of PA in children 6-10 years of age.

  8. On the uncertainty of individual prediction because of sampling predictors.

    PubMed

    Shen, Changyu; Li, Xiaochun

    2016-05-30

    Prediction of an outcome for a given unit based on prediction models built on a training sample plays a major role in many research areas. The uncertainty of the prediction is predominantly characterized by the subject sampling variation in current practice, where prediction models built on hypothetically re-sampled units yield variable predictions for the same unit of interest. It is almost always true that the predictors used to build prediction models are simply a subset of the entirety of factors related to the outcome. Following the frequentist principle, we can account for the variation because of hypothetically re-sampled predictors used to build the prediction models. This is particularly important in medicine where the prediction has important and sometime life-death consequences on a patient's health status. In this article, we discuss some rationale along this line in the context of medicine. We propose a simple approach to estimate the standard error of the prediction that accounts for the variation because of sampling both subjects and predictors under logistic and Cox regression models. A simulation study is presented to support our argument and demonstrate the performance of our method. The concept and method are applied to a real data set. Copyright © 2015 John Wiley & Sons, Ltd. PMID:26712471

  9. RISK INDICATORS AND RISK PREDICTORS OF DENTAL CARIES IN SCHOOLCHILDREN

    PubMed Central

    Tagliaferro, Elaine Pereira da Silva; Ambrosano, Gláucia Maria Bovi; Meneghim, Marcelo de Castro; Pereira, Antonio Carlos

    2008-01-01

    The purpose of this study was to identify risk indicators of high caries level at baseline (HCLB) based on cross-sectional data and predictors of high caries increment (HCI) based on a 7-year-follow-up examination in 6-8-year-old schoolchildren. Two hundred and six schoolchildren were examined in 1997 and in 2004 by the same two calibrated dentists, in Piracicaba, Brazil. At baseline, dental caries, presence of sealants, fluorosis, and oral hygiene status were recorded. The children's parents completed a questionnaire concerning socioeconomic level, fluoride use, dental service utilization, dietary and oral hygiene habits. HCLB and HCI were defined considering the upper quartile of the total caries experience distribution (dmfs+DMFS) and caries increment distribution, respectively. Logistic regression models were adjusted estimating the Odds Ratio (OR), 95% confidence intervals and p-values. Having white spot lesions (OR=5.25) was found to be a risk indicator of HCLB. Schoolchildren with dental fluorosis (OR=0.17) or those who brushed the teeth more than two times a day (OR=0.37) presented less probability of HCLB. The predictors of HCI were: dmfs>0 (OR=2.68) and mothers' educational level up to 8 years of schooling (OR=2.87). Clinical and socioeconomic variables were found to be risk indicators and/or predictors of dental caries in schoolchildren. PMID:19082400

  10. Predictors of Atrial Fibrillation Recurrence in Hyperthyroid and Euthyroid Patients

    PubMed Central

    Gürdoğan, Muhammet; Ari, Hasan; Tenekecioğlu, Erhan; Arı, Selma; Bozat, Tahsin; Koca, Vedat; Melek, Mehmet

    2016-01-01

    Background Atrial fibrillation (AF) is the most common arrhythmia in adults, and is encountered in 10-15% of the patients with hyperthyroidism. Unless euthyroidism is restored, pharmacological or electrical cardioversion is controversial in patients with AF who remain hyperthyroid. Objective The aim of this study was to assess the efficacy of electrical cardioversion and predictors of AF recurrence in hyperthyroid and euthyroid patients. Methods The study included 33 hyperthyroid (21 males) and 48 euthyroid (17 males) patients with persistent AF. The patients were sedated with intravenous midazolam before undergoing electrical cardioversion delivered by synchronized biphasic shocks. Rates of AF recurrence were recorded. Results Mean follow-up was 23.63 ± 3.74 months in the hyperthyroid group and 22.78 ± 3.15 months in the euthyroid group (p = 0.51). AF recurred in 14 (43.8%) and 21 (44.7%) patients in each group, respectively (p = 0.93). Multivariate regression analysis in each group showed that AF duration was the only predictor of AF recurrence, with odds ratios of 1.38 (95% confidence interval [CI] = 1.05 - 1.82, p = 0.02) in the hyperthyroid group and 1.42 (95% CI = 1.05 - 1.91, p= 0.02) in the euthyroid group. Conclusion Rates of long-term AF recurrence were similar in successfully cardioverted hyperthyroid and euthyroid patients. The only predictor of AF recurrence in both groups was AF duration. PMID:26815460

  11. Predictors of the peak width for networks with exponential links

    USGS Publications Warehouse

    Troutman, B.M.; Karlinger, M.R.

    1989-01-01

    We investigate optimal predictors of the peak (S) and distance to peak (T) of the width function of drainage networks under the assumption that the networks are topologically random with independent and exponentially distributed link lengths. Analytical results are derived using the fact that, under these assumptions, the width function is a homogeneous Markov birth-death process. In particular, exact expressions are derived for the asymptotic conditional expectations of S and T given network magnitude N and given mainstream length H. In addition, a simulation study is performed to examine various predictors of S and T, including N, H, and basin morphometric properties; non-asymptotic conditional expectations and variances are estimated. The best single predictor of S is N, of T is H, and of the scaled peak (S divided by the area under the width function) is H. Finally, expressions tested on a set of drainage basins from the state of Wyoming perform reasonably well in predicting S and T despite probable violations of the original assumptions. ?? 1989 Springer-Verlag.

  12. Kernel Averaged Predictors for Spatio-Temporal Regression Models.

    PubMed

    Heaton, Matthew J; Gelfand, Alan E

    2012-12-01

    In applications where covariates and responses are observed across space and time, a common goal is to quantify the effect of a change in the covariates on the response while adequately accounting for the spatio-temporal structure of the observations. The most common approach for building such a model is to confine the relationship between a covariate and response variable to a single spatio-temporal location. However, oftentimes the relationship between the response and predictors may extend across space and time. In other words, the response may be affected by levels of predictors in spatio-temporal proximity to the response location. Here, a flexible modeling framework is proposed to capture such spatial and temporal lagged effects between a predictor and a response. Specifically, kernel functions are used to weight a spatio-temporal covariate surface in a regression model for the response. The kernels are assumed to be parametric and non-stationary with the data informing the parameter values of the kernel. The methodology is illustrated on simulated data as well as a physical data set of ozone concentrations to be explained by temperature. PMID:24010051

  13. Predictors of Nursing Home Residents' Time to Hospitalization

    PubMed Central

    O'Malley, A James; Caudry, Daryl J; Grabowski, David C

    2011-01-01

    Objectives To model the predictors of the time to first acute hospitalization for nursing home residents, and accounting for previous hospitalizations, model the predictors of time between subsequent hospitalizations. Data Sources Merged file from New York State for the period 1998–2004 consisting of nursing home information from the minimum dataset and hospitalization information from the Statewide Planning and Research Cooperative System. Study Design Accelerated failure time models were used to estimate the model parameters and predict survival times. The models were fit to observations from 50 percent of the nursing homes and validated on the remaining observations. Principal Findings Pressure ulcers and facility-level deficiencies were associated with a decreased time to first hospitalization, while the presence of advance directives and facility staffing was associated with an increased time. These predictors of the time to first hospitalization model had effects of similar magnitude in predicting the time between subsequent hospitalizations. Conclusions This study provides novel evidence suggesting modifiable patient and nursing home characteristics are associated with the time to first hospitalization and time to subsequent hospitalizations for nursing home residents. PMID:20849556

  14. Survey and Method for Determination of Trajectory Predictor Requirements

    NASA Technical Reports Server (NTRS)

    Rentas, Tamika L.; Green, Steven M.; Cate, Karen Tung

    2009-01-01

    A survey of air-traffic-management researchers, representing a broad range of automation applications, was conducted to document trajectory-predictor requirements for future decision-support systems. Results indicated that the researchers were unable to articulate a basic set of trajectory-prediction requirements for their automation concepts. Survey responses showed the need to establish a process to help developers determine the trajectory-predictor-performance requirements for their concepts. Two methods for determining trajectory-predictor requirements are introduced. A fast-time simulation method is discussed that captures the sensitivity of a concept to the performance of its trajectory-prediction capability. A characterization method is proposed to provide quicker, yet less precise results, based on analysis and simulation to characterize the trajectory-prediction errors associated with key modeling options for a specific concept. Concept developers can then identify the relative sizes of errors associated with key modeling options, and qualitatively determine which options lead to significant errors. The characterization method is demonstrated for a case study involving future airport surface traffic management automation. Of the top four sources of error, results indicated that the error associated with accelerations to and from turn speeds was unacceptable, the error associated with the turn path model was acceptable, and the error associated with taxi-speed estimation was of concern and needed a higher fidelity concept simulation to obtain a more precise result

  15. Predictors of uncontrolled hypertension in the Stroke Belt.

    PubMed

    Dave, Gaurav J; Bibeau, Daniel L; Schulz, Mark R; Aronson, Robert E; Ivanov, Louise L; Black, Adina; Spann, Lapronda

    2013-08-01

    Inadequate control of high systolic blood pressure in older adults has been largely attributable to poor control of overall hypertension (HTN). The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure (JNC 7) guidelines emphasize the importance of controlling isolated systolic HTN in older adults. The study examined demographics, self-reported health information, and clinical measures as predictors of uncontrolled HTN among individuals taking antihypertensive medications. The Community Initiative to Eliminate Stroke, a stroke risk factor screening and prevention project, collected data in two North Carolina counties. Statistical modeling of predictors included odds ratios (ORs) and logistic regression analyses. Of the 2663 participants, 43.5% and 22.8% had uncontrolled systolic and diastolic HTN, respectively. African Americans were more likely to have uncontrolled systolic (60%) or diastolic HTN (70.9%) compared with whites (40% and 29.1%, respectively). Participants 55 years and older were more likely to have uncontrolled systolic HTN compared with younger individuals. Regression analyses showed that race (OR, 1.239; P=.00), age (OR, 1.683; P=.00), and nonadherence with medications (OR, 2.593; P=.00) were significant predictors of uncontrolled systolic HTN. Future interventions should focus on improving management of isolated systolic HTN in older adults and African Americans to increase overall control of HTN. PMID:23889718

  16. On the uncertainty of individual prediction because of sampling predictors.

    PubMed

    Shen, Changyu; Li, Xiaochun

    2016-05-30

    Prediction of an outcome for a given unit based on prediction models built on a training sample plays a major role in many research areas. The uncertainty of the prediction is predominantly characterized by the subject sampling variation in current practice, where prediction models built on hypothetically re-sampled units yield variable predictions for the same unit of interest. It is almost always true that the predictors used to build prediction models are simply a subset of the entirety of factors related to the outcome. Following the frequentist principle, we can account for the variation because of hypothetically re-sampled predictors used to build the prediction models. This is particularly important in medicine where the prediction has important and sometime life-death consequences on a patient's health status. In this article, we discuss some rationale along this line in the context of medicine. We propose a simple approach to estimate the standard error of the prediction that accounts for the variation because of sampling both subjects and predictors under logistic and Cox regression models. A simulation study is presented to support our argument and demonstrate the performance of our method. The concept and method are applied to a real data set. Copyright © 2015 John Wiley & Sons, Ltd.

  17. Predictors of aspiration pneumonia: how important is dysphagia?

    PubMed

    Langmore, S E; Terpenning, M S; Schork, A; Chen, Y; Murray, J T; Lopatin, D; Loesche, W J

    1998-01-01

    Aspiration pneumonia is a major cause of morbidity and mortality among the elderly who are hospitalized or in nursing homes. Multiple risk factors for pneumonia have been identified, but no study has effectively compared the relative risk of factors in several different categories, including dysphagia. In this prospective outcomes study, 189 elderly subjects were recruited from the outpatient clinics, inpatient acute care wards, and the nursing home care center at the VA Medical Center in Ann Arbor, Michigan. They were given a variety of assessments to determine oropharyngeal and esophageal swallowing and feeding status, functional status, medical status, and oral/dental status. The subjects were followed for up to 4 years for an outcome of verified aspiration pneumonia. Bivariate analyses identified several factors as significantly associated with pneumonia. Logistic regression analyses then identified the significant predictors of aspiration pneumonia. The best predictors, in one or more groups of subjects, were dependent for feeding, dependent for oral care, number of decayed teeth, tube feeding, more than one medical diagnosis, number of medications, and smoking. The role that each of the significant predictors might play was described in relation to the pathogenesis of aspiration pneumonia. Dysphagia was concluded to be an important risk for aspiration pneumonia, but generally not sufficient to cause pneumonia unless other risk factors are present as well. A dependency upon others for feeding emerged as the dominant risk factor, with an odds ratio of 19.98 in a logistic regression model that excluded tube-fed patients.

  18. Predictors of Serum Chlorinated Pesticide Concentrations among Prepubertal Russian Boys

    PubMed Central

    Williams, Paige L.; Burns, Jane S.; Sergeyev, Oleg; Korrick, Susan A.; Lee, Mary M.; Birnbaum, Linda S.; Revich, Boris; Altshul, Larisa M.; Patterson, Donald G.; Turner, Wayman E.; Hauser, Russ

    2013-01-01

    Background: Few studies have evaluated predictors of childhood exposure to organochlorine pesticides (OCPs), a class of lipophilic persistent chemicals. Objectives: Our goal was to identify predictors of serum OCP concentrations—hexachlorobenzene (HCB), β-hexachlorocyclohexane (β-HCH), and p,p-dichlorodiphenyldichloroethylene (p,p´-DDE)—among boys in Chapaevsk, Russia. Methods: Between 2003 and 2005, 499 boys 8–9 years of age were recruited in a prospective cohort. The initial study visit included a physical examination; blood collection; health, lifestyle, and food-frequency questionnaires; and determination of residential distance from a local factory complex that produced HCB and β-HCH. Fasting serum samples were analyzed for OCPs at the U.S. Centers for Disease Control and Prevention. General linear regression models were used to identify predictors of the boys’ serum HCB, β-HCH, and p,p´-DDE concentrations. Results: Among 355 boys with OCP measurements, median serum HCB, β-HCH, and p,p´-DDE concentrations were 158, 167, and 284 ng/g lipid, respectively. Lower body mass index, longer breastfeeding duration, and local dairy consumption were associated with higher concentrations of OCPs. Boys who lived < 2 km from the factory complex had 64% (95% CI: 37, 96) and 57% (95% CI: 32, 87) higher mean HCB and β-HCH concentrations, respectively, than boys who lived ≥ 5 km away. Living > 3 years in Chapaevsk predicted higher β-HCH concentrations, and having parents who lacked a high school education predicted higher p,p´-DDE concentrations. Conclusions: Among this cohort of prepubertal Russian boys, predictors of serum OCPs included consumption of local dairy products, longer local residence, and residential proximity to the local factory complex. Citation: Lam T, Williams PL, Burns JS, Sergeyev O, Korrick SA, Lee MM, Birnbaum LS, Revich B, Altshul LM, Patterson DG Jr, Turner WE, Hauser R. 2013. Predictors of serum chlorinated pesticide concentrations

  19. Predictors of treatment failure and mortality in native septic arthritis.

    PubMed

    Maneiro, Jose R; Souto, Alejandro; Cervantes, Evelin C; Mera, Antonio; Carmona, Loreto; Gomez-Reino, Juan J

    2015-11-01

    The aims of this study are to analyse the characteristics of septic arthritis stratified by age and to identify the predictors of treatment failure and mortality in septic arthritis. A retrospective single-centre study was conducted in patients with native septic arthritis between 1994 and 2012. The primary outcome was treatment failure. Secondary outcomes included mortality, complications, endocarditis, bacteraemia, hospital readmission and the duration of the hospital stay. Logistic regression analyses with a propensity score were performed to identify the predictors of response and mortality. Additional analyses were performed according to age and the initial treatment (surgery or conservative). A total of 186 patients were studied. The median (interquartile range) age was 64 (46, 74) years, and the percentage of male patients was 68.9%. A logistic regression analysis showed that Staphylococcus aureus infection [OR 2.39 (1.20-4.77), p = 0.013], endocarditis [OR 4.74 (1.16-19.24), p = 0.029] and the involvement of joints difficult to access with needle drainage [OR 2.33 (1.06-5.11), p = 0.034] predict treatment failure and that age [OR 1.27 (1.07 = 1.50), p = 0.005], the leucocyte count at baseline [OR 1.01 (1.00-1.02), p = 0.023], bacteraemia [OR 27.66 (1.39-551.20), p = 0.030], diabetes mellitus [OR 15.33 (1.36-172.67), p = 0.027] and chronic renal failure [OR 81.27 (3.32-1990.20), p = 0.007] predict mortality. No significant differences in treatment failure by age were found. In septic arthritis, the predictors of mortality and the predictors of treatment failure differ. The predictors of treatment failure concern local factors and systemic complications, whereas conditions related to the host's immune competence, such as age and comorbidities that hamper the host's response, predict mortality.

  20. Locus of Control & Motivation Strategies for Learning Questionnaire: Predictors of Student Success on the ATI Comprehensive Predictor Exam & NCLEX-RN Examination

    ERIC Educational Resources Information Center

    Carpenter, Jane H.

    2011-01-01

    The two purposes of this study were to determine whether locus of control (LOC) was predictive of how a student would perform on the ATI Comprehensive Predictor Exam and the NCLEX-RN, and if the Motivated Strategies for Learning Questionnaire (MSLQ) provided information that would help determine predictors of success on these two exams. The study…

  1. Differential prediction and the use of multiple predictors: the omitted variables problem.

    PubMed

    Sackett, Paul R; Laczo, Roxanne M; Lippe, Zachary P

    2003-12-01

    Moderated regression is widely used to examine differential prediction by race or gender. When using multiple predictors in a selection system, guidance as to whether differential prediction analysis should be conducted on each predictor individually, or on the set of predictors in combination, is lacking. Analyzing predictors individually creates the possibility of an omitted variable problem. Army Project A data were used to examine differential prediction by race with the use of personality measures for 79 predictor-criterion combinations. Traditional analysis indicated predictive bias by intercept in 45 instances and by slope in 7 instances; the inclusion of an Armed Services Vocational Aptitude Battery general factor as an additional predictor changed the conclusion in 32 cases for the intercept and in 3 cases for the slope.

  2. Vertically integrated moisture flux convergence as a predictor of thunderstorms

    NASA Astrophysics Data System (ADS)

    van Zomeren, Jeroen; van Delden, Aarnout

    2007-02-01

    Vertically Integrated Moisture Flux Convergence (VIMFC) alone and in combination with the lifted stability index of the most unstable layer (SMUL) is evaluated as a thunderstorm predictor. By using six-hourly standard pressure weather analysis data from the European Centre for Medium-range Weather Forecasts (ECMWF) during 30 days in the summers of 1992 and 1994 containing several severe weather events along with quiescent events in northwestern Europe 17,206 events are obtained. The location and time of a lightning discharge are obtained from the Arrival Time Difference (ATD) sferics lightning location system from the UK Meteorological Office. Using the Heidke Skill Score (HEIDKE) to determine the best threshold we conclude that VIMFC alone, does not perform well as a dichotomous thunderstorm predictor compared to the stability index. However, the Thundery Case Probability (TCP) tested as function of VIMFC results in a high correlation with thunderstorms. By combining SMUL and VIMFC the surplus value as a thunderstorm predictor of VIMFC was established. TCP percentages up to 95% were found in an unstable environment with high positive values of VIMFC. In a marginally unstable environment with a high positive VIMFC the thunderstorm probability is higher than in a very unstable environment with no or negative VIMFC. These results are illustrated with a study of the case of the disastrous flash flood at Vaison-La-Romaine (southeastern France) on September 22, 1992. Although latent instability was present in a large area surrounding Vaison-La-Romaine, nearly all and especially the most severe thunderstorm activity occurred within the smaller area with positive VIMFC and latent instability.

  3. Serum Predictors of Percent Lean Mass in Young Adults.

    PubMed

    Lustgarten, Michael S; Price, Lori L; Phillips, Edward M; Kirn, Dylan R; Mills, John; Fielding, Roger A

    2016-08-01

    Lustgarten, MS, Price, LL, Phillips, EM, Kirn, DR, Mills, J, and Fielding, RA. Serum predictors of percent lean mass in young adults. J Strength Cond Res 30(8): 2194-2201, 2016-Elevated lean (skeletal muscle) mass is associated with increased muscle strength and anaerobic exercise performance, whereas low levels of lean mass are associated with insulin resistance and sarcopenia. Therefore, studies aimed at obtaining an improved understanding of mechanisms related to the quantity of lean mass are of interest. Percent lean mass (total lean mass/body weight × 100) in 77 young subjects (18-35 years) was measured with dual-energy x-ray absorptiometry. Twenty analytes and 296 metabolites were evaluated with the use of the standard chemistry screen and mass spectrometry-based metabolomic profiling, respectively. Sex-adjusted multivariable linear regression was used to determine serum analytes and metabolites significantly (p ≤ 0.05 and q ≤ 0.30) associated with the percent lean mass. Two enzymes (alkaline phosphatase and serum glutamate oxaloacetate aminotransferase) and 29 metabolites were found to be significantly associated with the percent lean mass, including metabolites related to microbial metabolism, uremia, inflammation, oxidative stress, branched-chain amino acid metabolism, insulin sensitivity, glycerolipid metabolism, and xenobiotics. Use of sex-adjusted stepwise regression to obtain a final covariate predictor model identified the combination of 5 analytes and metabolites as overall predictors of the percent lean mass (model R = 82.5%). Collectively, these data suggest that a complex interplay of various metabolic processes underlies the maintenance of lean mass in young healthy adults. PMID:23774283

  4. Significant predictors of patients' uncertainty in primary brain tumors.

    PubMed

    Lin, Lin; Chien, Lung-Chang; Acquaye, Alvina A; Vera-Bolanos, Elizabeth; Gilbert, Mark R; Armstrong, Terri S

    2015-05-01

    Patients with primary brain tumors (PBT) face uncertainty related to prognosis, symptoms and treatment response and toxicity. Uncertainty is correlated to negative mood states and symptom severity and interference. This study identified predictors of uncertainty during different treatment stages (newly-diagnosed, on treatment, followed-up without active treatment). One hundred eighty six patients with PBT were accrued at various points in the illness trajectory. Data collection tools included: a clinical checklist/a demographic data sheet/the Mishel Uncertainty in Illness Scale-Brain Tumor Form. The structured additive regression model was used to identify significant demographic and clinical predictors of illness-related uncertainty. Participants were primarily white (80 %) males (53 %). They ranged in age from 19-80 (mean = 44.2 ± 12.6). Thirty-two of the 186 patients were newly-diagnosed, 64 were on treatment at the time of clinical visit with MRI evaluation, 21 were without MRI, and 69 were not on active treatment. Three subscales (ambiguity/inconsistency; unpredictability-disease prognoses; unpredictability-symptoms and other triggers) were different amongst the treatment groups (P < .01). However, patients' uncertainty during active treatment was as high as in newly-diagnosed period. Other than treatment stages, change of employment status due to the illness was the most significant predictor of illness-related uncertainty. The illness trajectory of PBT remains ambiguous, complex, and unpredictable, leading to a high incidence of uncertainty. There was variation in the subscales of uncertainty depending on treatment status. Although patients who are newly diagnosed reported the highest scores on most of the subscales, patients on treatment felt more uncertain about unpredictability of symptoms than other groups. Due to the complexity and impact of the disease, associated symptoms, and interference with functional status, comprehensive assessment of patients

  5. Concurrent Psychosocial Predictors of Sun Safety Among Middle School Youth*

    PubMed Central

    Andreeva, Valentina A.; Reynolds, Kim D.; Buller, David B.; Chou, Chih-Ping; Yaroch, Amy L.

    2010-01-01

    BACKGROUND Sun-induced skin damage, which increases skin cancer risk, is initiated in early life and promoted through later sun exposure patterns. If sun safety determinants are well understood and addressed during the school years, skin cancer incidence might be reduced. This study tested psychosocial influences on youth’s sun safety and assessed their strength within and across gender and ethnicity in a sample of 1782 middle school students. METHODS Predictors included sunburn and skin cancer knowledge, tanning attitudes, peer norms, and barriers regarding sun exposure and were assessed with a self-administered, validated questionnaire. The hypothesized relationships were tested with structural equation models and confirmed with multilevel regression. RESULTS Across gender and ethnicity, knowledge emerged as an important sun safety predictor with both direct and indirect effects mediated through tanning attitudes. The relationship with barriers did not reach statistical significance within any of the subgroups, possibly due to measurement limitations. An indirect effect of peer norms on sun safety, mediated through tanning attitudes, was confirmed only among girls. Also, an indication that peer norms operate differently within the ethnic groups was found, since this predictor had a statistically significantly stronger relationship with sun safety among non-Hispanics. CONCLUSIONS Youth’s sun safety is a multifactorial practice, partially determined by ethnicity- and gender-based standards. In order to ensure health-promoting school environments, needed are multicomponent programs where peer norms and knowledge are salient and where sun safety is addressed individually and together with other health risk behaviors. PMID:18611212

  6. Predictors of stroke in patients undergoing cardiac surgery

    PubMed Central

    dos Santos, Handerson Nunes; Magedanz, Ellen Hettwer; Guaragna, João Carlos Vieira da Costa; dos Santos, Natalia Nunes; Albuquerque, Luciano Cabral; Goldani, Marco Antonio; Petracco, João Batista; Bodanese, Luiz Carlos

    2014-01-01

    Objective To determine the risk factors related to the development of stroke in patients undergoing cardiac surgery. Methods A historical cohort study. We included 4626 patients aged > 18 years who underwent coronary artery bypass surgery, heart valve replacement surgery alone or heart valve surgery combined with coronary artery bypass grafting between January 1996 and December 2011. The relationship between risk predictors and stroke was assessed by logistic regression model with a significance level of 0.05. Results The incidence of stroke was 3% in the overall sample. After logistic regression, the following risk predictors for stroke were found: age 50-65 years (OR=2.11 - 95% CI 1.05-4.23 - P=0.036) and age >66 years (OR=3.22 - 95% CI 1.6-6.47 - P=0.001), urgent and emergency surgery (OR=2.03 - 95% CI 1.20-3.45 - P=0.008), aortic valve disease (OR=2.32 - 95% CI 1.18-4.56 - P=0.014), history of atrial fibrillation (OR=1.88 - 95% CI 1.05-3.34 - P=0.032), peripheral artery disease (OR=1.81 - 95% CI 1.13-2.92 - P=0.014), history of cerebrovascular disease (OR=3.42 - 95% CI 2.19-5.35 - P<0.001) and cardiopulmonary bypass time > 110 minutes (OR=1.71 - 95% CI 1.16-2.53 - P=0.007). Mortality was 31.9% in the stroke group and 8.5% in the control group (OR=5.06 - 95% CI 3.5-7.33 - P<0.001). Conclusion The study identified the following risk predictors for stroke after cardiac surgery: age, urgent and emergency surgery, aortic valve disease, history of atrial fibrillation, peripheral artery disease, history of cerebrovascular disease and cardiopulmonary bypass time > 110 minutes. PMID:25140462

  7. Predictors of serum polychlorinated biphenyl concentrations in Anniston residents

    PubMed Central

    Pavuk, M.; Olson, J.R.; Wattigney, W.A.; Dutton, N.D.; Sjödin, A.; Shelton, C.; Turner, W.E.; Bartell, S.M.; Bartell, S.; Carpenter, D.O.; Cash, J.; Foushee, R.; Percy, A.; Frumkin, H.; Lavender, M.; Moysich, K.; Olson, J.; Pavuk, M.; Rosenbaum, P.; Silverstone, A.; Weinstock, R.; Shelton, C.

    2015-01-01

    The Anniston Community Health Survey was a community-based cross-sectional study of Anniston, Alabama, residents who live in close proximity to a former PCB production facility to identify factors associated with serum PCB levels. The survey comprises 765 Anniston residents who completed a questionnaire interview and provided a blood sample for analysis in 2005–2007. Several reports based on data from the Anniston survey have been previously published, including associations between PCB exposure and diabetes and blood pressure. In this study we examine demographic, behavioral, dietary, and occupational characteristics of Anniston survey participants as predictors of serum PCB concentrations. Of the 765 participants, 54% were White and 45% were African-American; the sample was predominantly female (70%), with a mean age of 55 years. Serum PCB concentrations varied widely between participants (range for sum of 35 PCBs: 0.11–170.4 ng/g wet weight). Linear regression models with stepwise selection were employed to examine factors associated with serum PCBs. Statistically significant positive associations were observed between serum PCB concentrations and age, race, residential variables, current smoking, and local fish consumption, as was a negative association with education level. Age and race were the most influential predictors of serum PCB levels. A small age by sex interaction was noted, indicating that the increase in PCB levels with age was steeper for women than for men. Significant interaction terms indicated that the associations between PCB levels and having ever eaten locally raised livestock and local clay were much stronger among African-Americans than among White participants. In summary, demographic variables and past consumption of locally produced foods were found to be the most important predictors of PCB concentrations in residents living in the vicinity of a former PCB manufacturing facility. PMID:25115605

  8. Predictors of Self-Medication Behavior: A Systematic Review

    PubMed Central

    SHAGHAGHI, Abdolreza; ASADI, Marzieh; ALLAHVERDIPOUR, Hamid

    2014-01-01

    Abstract Background Self-medication with over the counter (OTC) and non OTC drugs may provoke serious consequences for users and societies. Recognition of its predictors therefore, is pivotal in plans to hinder the aggregating behavior. This study aimed to identify possibly all predictors of self-medication and the range of its prevalence among different populations. Methods Medline, Amed, Scopus, Medlib, SID, Pub Med, Science Direct, and super searcher of Google Scholar were scrutinized using “self-medication”, “self-prescription” and “self-treatment” key words without a time limit with special focus on Iranian studies. Authors independently assessed the title, abstract and full text of identified articles for inclusion and any disagreement was resolved with consensus. Results The range of reported self-medication in the 70 included publications was 8.5-98.0%. Having a minor illness (15 studies), health care costs (9 studies), lack of adequate time to visit a physician (11 studies), prior experience (7 studies) in using a drug and long waiting time to visit a qualified practitioner (5 studies) were most frequently reported reasons of self-medication. Conclusion The observed diversity in the reported prevalence and reasons of self-medication among different sub-groups of populations (e.g. males vs. females) and between developed and developing countries highlights the importance of explanatory behavioral chain analysis of self-medication in different population groups and countries. Even within a single country, predictors of this harmful practice could be inconsistent. Lack of sufficient quality re-search to identify precipitating factors of self-medication in developing countries is paramount. PMID:26060736

  9. Third molar development: measurements versus scores as age predictor.

    PubMed

    Thevissen, P W; Fieuws, S; Willems, G

    2011-10-01

    Human third molar development is widely used to predict chronological age of sub adult individuals with unknown or doubted age. For these predictions, classically, the radiologically observed third molar growth and maturation is registered using a staging and related scoring technique. Measures of lengths and widths of the developing wisdom tooth and its adjacent second molar can be considered as an alternative registration. The aim of this study was to verify relations between mandibular third molar developmental stages or measurements of mandibular second molar and third molars and age. Age related performance of stages and measurements were compared to assess if measurements added information to age predictions from third molar formation stage. The sample was 340 orthopantomograms (170 females, 170 males) of individuals homogenously distributed in age between 7 and 24 years. Mandibular lower right, third and second molars, were staged following Gleiser and Hunt, length and width measurements were registered, and various ratios of these measurements were calculated. Univariable regression models with age as response and third molar stage, measurements and ratios of second and third molars as predictors, were considered. Multivariable regression models assessed if measurements or ratios added information to age prediction from third molar stage. Coefficients of determination (R(2)) and root mean squared errors (RMSE) obtained from all regression models were compared. The univariable regression model using stages as predictor yielded most accurate age predictions (males: R(2) 0.85, RMSE between 0.85 and 1.22 year; females: R(2) 0.77, RMSE between 1.19 and 2.11 year) compared to all models including measurements and ratios. The multivariable regression models indicated that measurements and ratios added no clinical relevant information to the age prediction from third molar stage. Ratios and measurements of second and third molars are less accurate age predictors

  10. Predictors of enduring clinical distress in women with breast cancer.

    PubMed

    Lo-Fo-Wong, Deborah N N; de Haes, Hanneke C J M; Aaronson, Neil K; van Abbema, Doris L; den Boer, Mathilda D; van Hezewijk, Marjan; Immink, Marcelle; Kaptein, Ad A; Menke-Pluijmers, Marian B E; Reyners, Anna K L; Russell, Nicola S; Schriek, Manon; Sijtsema, Sieta; van Tienhoven, Geertjan; Sprangers, Mirjam A G

    2016-08-01

    To date, little is known about enduring clinical distress as measured with the commonly used distress thermometer. We therefore used the distress thermometer to examine: (a) the prevalence of enduring clinical distress, distress-related problems, and subsequent wish for referral of women with breast cancer, and (b) sociodemographic, clinical, and psychosocial predictors of enduring clinical distress. The study had a multicenter, prospective, observational design. Patients with primary breast cancer completed a questionnaire at 6 and 15 months postdiagnosis. Medical data were retrieved from chart reviews. Enduring clinical distress was defined as heightened distress levels over time. The prevalence of enduring clinical distress, problems, and wish for referral was examined with descriptive analyses. Associations between predictors and enduring clinical distress were examined with multivariate analyses. One hundred sixty-four of 746 patients (22 %) reported having enduring clinical distress at 6 and 15 months postdiagnosis. Of these, 10 % wanted to be referred for care. Fatigue was the most frequently reported problem by patients with and without clinical distress, at both time points. Lack of muscle strength (OR = 1.82, 95 % CI 1.12-2.98), experience of a low level of life satisfaction (OR = 0.77, 95 % CI 0.67-0.89), more frequent cancer worry (OR = 1.40, 95 % CI 1.05-1.89), and neuroticism (OR = 1.09, 95 % CI 1.00-1.18) were predictors of enduring clinical distress. In conclusion, one in five women with breast cancer develops enduring clinical distress. Oncologists, nurse practitioners, and cancer nurses are advised to use single-item questions about distress and distress-related problems to ensure timely detection of high-risk patients. Providers should also routinely assess fatigue and its causes, as fatigue is the most frequently reported distress-related problem over time. PMID:27417105

  11. Left Ventricular Strain as Predictor of Chronic Aortic Regurgitation

    PubMed Central

    Park, Sun Hee; Yang, Young Ae; Kim, Kyu Yeon; Park, Sang Mi; Kim, Hong Nyun; Kim, Jae Hee; Jang, Se Yong; Bae, Myung Hwan; Lee, Jang Hoon

    2015-01-01

    Background It is not well known about the implication of left ventricular (LV) strain as a predictor for mortality in patients with chronic aortic regurgitation (AR). The purpose of this study was to investigate whether global longitudinal strain measured by two-dimensional speckle-tracking echocardiography could predict long-term outcome in patients with chronic AR. Methods This is a single center non-randomized retrospective observational study. The patients with chronic AR from January 2002 to December 2012 were retrospectively enrolled. Following patients were excluded; combined other significant valvular disease, previous heart surgery, aortic disease, congenital heart disease, acute AR and young age under 18 years old. Finally, 60 patients were analyzed and the LV global strain rate was measured on apical four chamber image (GS-4CH). Results During 64 months follow-up duration, 16 patients (26.7%) were deceased and 38 patients (63.3%) underwent aortic valve replacement (AVR). Deceased group was older (69 years old vs. 51 years old, p < 0.001) and had lower longitudinal strain (-12.05 ± 3.72% vs. -15.66 ± 4.35%, p = 0.005). Kaplan-Meier survival curve stratified by GS-4CH showed a trend of different event rate (log rank p = 0.001). On multivariate analysis by cox proportional hazard model adjusting for age, sex, body surface area, history of atrial fibrillation, blood urea nitrogen, LV dilatation, LV ejection fraction and AVR, decreased GS-4CH proved to be an independent predictor of mortality in patients with chronic AR (hazard ratio 1.313, 95% confidence interval 1.010-1.706, p = 0.042). Conclusion GS-4CH may be a useful predictor of mortality in patient with chronic AR. PMID:26140149

  12. Optimizing long intrinsic disorder predictors with protein evolutionary information.

    PubMed

    Peng, Kang; Vucetic, Slobodan; Radivojac, Predrag; Brown, Celeste J; Dunker, A Keith; Obradovic, Zoran

    2005-02-01

    Protein existing as an ensemble of structures, called intrinsically disordered, has been shown to be responsible for a wide variety of biological functions and to be common in nature. Here we focus on improving sequence-based predictions of long (>30 amino acid residues) regions lacking specific 3-D structure by means of four new neural-network-based Predictors Of Natural Disordered Regions (PONDRs): VL3, VL3H, VL3P, and VL3E. PONDR VL3 used several features from a previously introduced PONDR VL2, but benefitted from optimized predictor models and a slightly larger (152 vs. 145) set of disordered proteins that were cleaned of mislabeling errors found in the smaller set. PONDR VL3H utilized homologues of the disordered proteins in the training stage, while PONDR VL3P used attributes derived from sequence profiles obtained by PSI-BLAST searches. The measure of accuracy was the average between accuracies on disordered and ordered protein regions. By this measure, the 30-fold cross-validation accuracies of VL3, VL3H, and VL3P were, respectively, 83.6 +/- 1.4%, 85.3 +/- 1.4%, and 85.2 +/- 1.5%. By combining VL3H and VL3P, the resulting PONDR VL3E achieved an accuracy of 86.7 +/- 1.4%. This is a significant improvement over our previous PONDRs VLXT (71.6 +/- 1.3%) and VL2 (80.9 +/- 1.4%). The new disorder predictors with the corresponding datasets are freely accessible through the web server at http://www.ist.temple.edu/disprot.

  13. Serum Predictors of Percent Lean Mass in Young Adults.

    PubMed

    Lustgarten, Michael S; Price, Lori L; Phillips, Edward M; Kirn, Dylan R; Mills, John; Fielding, Roger A

    2016-08-01

    Lustgarten, MS, Price, LL, Phillips, EM, Kirn, DR, Mills, J, and Fielding, RA. Serum predictors of percent lean mass in young adults. J Strength Cond Res 30(8): 2194-2201, 2016-Elevated lean (skeletal muscle) mass is associated with increased muscle strength and anaerobic exercise performance, whereas low levels of lean mass are associated with insulin resistance and sarcopenia. Therefore, studies aimed at obtaining an improved understanding of mechanisms related to the quantity of lean mass are of interest. Percent lean mass (total lean mass/body weight × 100) in 77 young subjects (18-35 years) was measured with dual-energy x-ray absorptiometry. Twenty analytes and 296 metabolites were evaluated with the use of the standard chemistry screen and mass spectrometry-based metabolomic profiling, respectively. Sex-adjusted multivariable linear regression was used to determine serum analytes and metabolites significantly (p ≤ 0.05 and q ≤ 0.30) associated with the percent lean mass. Two enzymes (alkaline phosphatase and serum glutamate oxaloacetate aminotransferase) and 29 metabolites were found to be significantly associated with the percent lean mass, including metabolites related to microbial metabolism, uremia, inflammation, oxidative stress, branched-chain amino acid metabolism, insulin sensitivity, glycerolipid metabolism, and xenobiotics. Use of sex-adjusted stepwise regression to obtain a final covariate predictor model identified the combination of 5 analytes and metabolites as overall predictors of the percent lean mass (model R = 82.5%). Collectively, these data suggest that a complex interplay of various metabolic processes underlies the maintenance of lean mass in young healthy adults.

  14. Biological predictors of pharmacological therapy in anxiety disorders

    PubMed Central

    Maron, Eduard; Nutt, David

    2015-01-01

    At least one third of patients with anxiety disorders do not adequately respond to available pharmacological treatment. The reason that some patients with anxiety disorders respond well, but others not, to the same classes of medication is not yet fully understood. It is suggested that several biological factors may influence treatment mechanisms in anxiety and therefore could be identified as possible biomarkers predicting treatment response. In this review, we look at current evidence exploring different types of treatment predictors, including neuroimaging, genetic factors, and blood-related measures, which could open up novel perspectives in clinical management of patients with anxiety disorders. PMID:26487811

  15. Certain death: ten predictors of hospital information system failure.

    PubMed

    Freed, David H

    2006-01-01

    Management is surprised when big investments in hospital information technology fail to produce expected results. Although failure appears to be sudden, it is actually the cumulative result of many subtle acts of omission by multiple parties over an extended period. Unfortunately, many senior managers recognize, but few confront the early warning signals of impending disaster. This article outlines 10 common predictors of hospital information system failure plus effective antidotes in each case. A carefully defined project outcome, appropriate project governance structure, and rigorous adherence to a structured systems development methodology are particularly critical management tools for assuring return on investment. PMID:16501379

  16. Heart Rate Turbulence as Risk-Predictor after Myocardial Infarction

    PubMed Central

    Zuern, Christine S.; Barthel, Petra; Bauer, Axel

    2011-01-01

    Heart rate turbulence (HRT) is the baroreflex-mediated short-term oscillation of cardiac cycle lengths after spontaneous ventricular premature complexes. HRT is composed of a brief heart rate acceleration followed by a gradual heart rate deceleration. In high risk patients after myocardial infarction (MI) HRT is blunted or diminished. Since its first description in 1999 HRT emerged as one of the most potent risk factors after MI. Predictive power of HRT has been studied in more than 10,000 post-infarction patients. This review is intended to provide an overview of HRT as risk-predictor after MI. PMID:22180744

  17. Predictors of Parental Mediation Regarding Children's Smartphone Use.

    PubMed

    Hwang, Yoori; Jeong, Se-Hoon

    2015-12-01

    Children's addiction to smartphones has become a serious issue, and parental mediation could help prevent children's problematic use of smartphones. This research examined the factors that predict and explain parents' intention to mediate children's behavior over smartphone use. Based on a survey of 460 parents of elementary school students, we found that parental mediation was predicted by (a) parent's own addiction to smartphones, (b) perceived severity of smartphone addiction, and (c) personality traits such as neuroticism, openness, and agreeableness. To the best of our knowledge, this study is the first to examine the predictors of parental mediation regarding children's smartphone addiction, and the findings suggest some strategies to increase parental mediation. PMID:26544162

  18. Biological predictors of pharmacological therapy in anxiety disorders.

    PubMed

    Maron, Eduard; Nutt, David

    2015-09-01

    At least one third of patients with anxiety disorders do not adequately respond to available pharmacological treatment. The reason that some patients with anxiety disorders respond well, but others not, to the same classes of medication is not yet fully understood. It is suggested that several biological factors may influence treatment mechanisms in anxiety and therefore could be identified as possible biomarkers predicting treatment response. In this review, we look at current evidence exploring different types of treatment predictors, including neuroimaging, genetic factors, and blood-related measures, which could open up novel perspectives in clinical management of patients with anxiety disorders.

  19. Predictors of Parental Mediation Regarding Children's Smartphone Use.

    PubMed

    Hwang, Yoori; Jeong, Se-Hoon

    2015-12-01

    Children's addiction to smartphones has become a serious issue, and parental mediation could help prevent children's problematic use of smartphones. This research examined the factors that predict and explain parents' intention to mediate children's behavior over smartphone use. Based on a survey of 460 parents of elementary school students, we found that parental mediation was predicted by (a) parent's own addiction to smartphones, (b) perceived severity of smartphone addiction, and (c) personality traits such as neuroticism, openness, and agreeableness. To the best of our knowledge, this study is the first to examine the predictors of parental mediation regarding children's smartphone addiction, and the findings suggest some strategies to increase parental mediation.

  20. LACIE performance predictor final operational capability program description, volume 3

    NASA Technical Reports Server (NTRS)

    1976-01-01

    The requirements and processing logic for the LACIE Error Model program (LEM) are described. This program is an integral part of the Large Area Crop Inventory Experiment (LACIE) system. LEM is that portion of the LPP (LACIE Performance Predictor) which simulates the sample segment classification, strata yield estimation, and production aggregation. LEM controls repetitive Monte Carlo trials based on input error distributions to obtain statistical estimates of the wheat area, yield, and production at different levels of aggregation. LEM interfaces with the rest of the LPP through a set of data files.

  1. Logistic regression when binary predictor variables are highly correlated.

    PubMed

    Barker, L; Brown, C

    Standard logistic regression can produce estimates having large mean square error when predictor variables are multicollinear. Ridge regression and principal components regression can reduce the impact of multicollinearity in ordinary least squares regression. Generalizations of these, applicable in the logistic regression framework, are alternatives to standard logistic regression. It is shown that estimates obtained via ridge and principal components logistic regression can have smaller mean square error than estimates obtained through standard logistic regression. Recommendations for choosing among standard, ridge and principal components logistic regression are developed. Published in 2001 by John Wiley & Sons, Ltd.

  2. Predictors and outcomes of elder-care-based interrole conflict.

    PubMed

    Barling, J; MacEwen, K E; Kelloway, E K; Higginbottom, S F

    1994-09-01

    The authors propose and test a model of the predictors and outcomes of the role conflicts experienced by individuals simultaneously holding full-time employment and providing care for elderly parents. It is proposed that interrole conflict is predicted by physical and psychological involvement in elder care and predicts both partial absenteeism from work and psychological strain. In turn, psychological strain predicts marital interactions. Data from 141 full-time employees from 2 universities provided strong support for the proposed mediational model using LISREL VII. In contrast, 2 alternative models were not supported by the data.

  3. Calmodulin inhibition: a possible predictor of metal-ion toxicity

    SciTech Connect

    Williams, M.W.; Turner, J.E.; Hsie, A.W.

    1986-01-01

    A correlation between CE/sub 50/, the metal-ion concentration which reduces the cloning efficiency of CHO cells by 50%, and IC/sub 50/, the metal-ion concentration that produces an inhibition of calmodulin activity of 50%, is reported for 10 divalent metal ions. It is thus suggested that IC/sub 50/ might be used as a predictor of metal-ion toxicity in CHO cells. Arguments are presented to support the extrapolation of these results to other pollutants and to other biological species.

  4. Predictors of Hearing Protection Use in Construction Workers

    PubMed Central

    Edelson, Jane; Neitzel, Richard; Meischke, Hendrika; Daniell, William; Sheppard, Lianne; Stover, Bert; Seixas, Noah

    2009-01-01

    Objectives: Although noise-induced hearing loss is completely preventable, it remains highly prevalent among construction workers. Hearing protection devices (HPDs) are commonly relied upon for exposure reduction in construction, but their use is complicated by intermittent and highly variable noise, inadequate industry support for hearing conservation, and lax regulatory enforcement. Methods: As part of an intervention study designed to promote HPD use in the construction industry, we enrolled a cohort of 268 construction workers from a variety of trades at eight sites and evaluated their use of HPDs at baseline. We measured HPD use with two instruments, a questionnaire survey and a validated combination of activity logs with simultaneous dosimetry measurements. With these measurements, we evaluated potential predictors of HPD use based on components of Pender's revised health promotion model (HPM) and safety climate factors. Results: Observed full-shift equivalent noise levels were above recommended limits, with a mean of 89.8 ± 4.9 dBA, and workers spent an average of 32.4 ± 18.6% of time in each shift above 85 dBA. We observed a bimodal distribution of HPD use from the activity card/dosimetry measures, with nearly 80% of workers reporting either almost never or almost always using HPDs. Fair agreement (kappa = 0.38) was found between the survey and activity card/dosimetry HPD use measures. Logistic regression models identified site, trade, education level, years in construction, percent of shift in high noise, and five HPM components as important predictors of HPD use at the individual level. Site safety climate factors were also predictors at the group level. Conclusions: Full-shift equivalent noise levels on the construction sites assessed were well above the level at which HPDs are required, but usage rates were quite low. Understanding and predicting HPD use differs by methods used to assess use (survey versus activity card/dosimetry). Site, trade, and

  5. Algorithmic properties of the midpoint predictor-corrector time integrator.

    SciTech Connect

    Rider, William J.; Love, Edward; Scovazzi, Guglielmo

    2009-03-01

    Algorithmic properties of the midpoint predictor-corrector time integration algorithm are examined. In the case of a finite number of iterations, the errors in angular momentum conservation and incremental objectivity are controlled by the number of iterations performed. Exact angular momentum conservation and exact incremental objectivity are achieved in the limit of an infinite number of iterations. A complete stability and dispersion analysis of the linearized algorithm is detailed. The main observation is that stability depends critically on the number of iterations performed.

  6. Cross-cultural similarities in the predictors of reading acquisition.

    PubMed

    McBride-Chang, Catherine; Kail, Robert V

    2002-01-01

    Measures of Chinese character/English word recognition, phonological awareness, speeded naming, visual-spatial skill, and processing speed were administered to 190 kindergarten students in Hong Kong and 128 kindergarten and grade 1 students in the United States. Across groups, the strongest predictor of reading itself was phonological awareness; visual processing did not predict reading. For both groups, speed of processing strongly predicted speeded naming, visual processing, and phonological awareness. Despite diversities of culture, language, and orthography to be learned, models of early reading development were remarkably similar across cultures and first and second language orthographies.

  7. A predictor-corrector scheme for vortex identification

    NASA Technical Reports Server (NTRS)

    Singer, Bart A.; Banks, David C.

    1994-01-01

    A new algorithm for identifying and characterizing vortices in complex flows is presented. The scheme uses both the vorticity and pressure fields. A skeleton line along the center of a vortex is produced by a two-step predictor-corrector scheme. The technique uses the vector field to move in the direction of the skeleton line and the scalar field to correct the location in the plane perpendicular to the skeleton line. A general vortex cross section can be concisely defined with five parameters at each point along the skeleton line. The details of the method and examples of its use are discussed.

  8. The comparison of predictors of death obsession within two cultures.

    PubMed

    Abdel-Khalek, Ahmed M; Maltby, John

    2008-01-01

    The objective of the study was to compare various predictors of death obsession (i.e., anxiety, optimism, pessimism), and self-ratings of religiosity, physical health, mental health, happiness, and satisfaction with life, among 2 samples of college students recruited from two different cultures: Kuwait (n = 271) and United Kingdom (n = 205). The findings suggest that anxiety, among both samples, pessimism among the Kuwait sample, and (un) happiness among the U.K. sample, might provide a good theoretical and empirical context with which to better understand the causes and consequences of death obsession.

  9. Predictors of Clergy's Ability to Fulfill a Suicide Prevention Gatekeeper Role.

    PubMed

    Mason, Karen; Geist, Monica; Kuo, Richard; Marshall, Day; Wines, James D

    2016-03-01

    Catholic, Jewish and Protestant clergy (n = 801) completed a survey to identify predictors of clergy's ability to fulfill a suicide gatekeeper role. Exploratory backward stepwise regression identified predictors of risk identification including suicide knowledge, religion, conducting suicide funerals, having an attitude that people have a right to die, age, and race. Predictors of ability to intervene include suicide knowledge, training, religion, right to die attitude, and ethnicity. Recommendations include more suicide training and clergy self-care.

  10. Short report: Predictors of severe disease in melioidosis patients in Kuala Lumpur, Malaysia.

    PubMed

    Mohd Roslani, Ardita Dewi Roslani; Tay, Sun Tee; Puthucheary, Savithri D; Rukumani, Devi V; Sam, I-Ching

    2014-12-01

    The predictors of severe disease or death were determined for 85 melioidosis patients in Kuala Lumpur, Malaysia. Most of the patients were male, > 40 years old, and diabetic. Severe disease or death occurred in 28 (32.9%) cases. Lower lymphocyte counts and positive blood cultures were significant independent predictors of severe disease, but age, presentations with pneumonia, inappropriate empirical antibiotics, or flagellin types of the infecting isolates were not. Knowledge of local predictors of severe disease is useful for clinical management.

  11. Predictors of Clergy's Ability to Fulfill a Suicide Prevention Gatekeeper Role.

    PubMed

    Mason, Karen; Geist, Monica; Kuo, Richard; Marshall, Day; Wines, James D

    2016-03-01

    Catholic, Jewish and Protestant clergy (n = 801) completed a survey to identify predictors of clergy's ability to fulfill a suicide gatekeeper role. Exploratory backward stepwise regression identified predictors of risk identification including suicide knowledge, religion, conducting suicide funerals, having an attitude that people have a right to die, age, and race. Predictors of ability to intervene include suicide knowledge, training, religion, right to die attitude, and ethnicity. Recommendations include more suicide training and clergy self-care. PMID:26956748

  12. Personal investment predictors of adolescent motivational orientation toward exercise.

    PubMed

    Tappe, M K; Duda, J L; Menges-Ehrnwald, P

    1990-09-01

    The primary purpose of this study was to determine the relationship between the psychosocial components of Personal Investment Theory and exercise behavior among 237 adolescents. Specifically, the adolescents' personal incentives for exercise, perceptions of sense of self, and perceived options for exercise were examined as predictors of physical activity level. A secondary purpose was to determine the interdependence between the components reflecting personal investment and self-reported exercise behavior separately by gender and activity level. Multiple regression analysis revealed that the personal investment variables accounted for 19% of the variance in exercise behavior among male adolescents and 25% of the variance in exercise behavior among female adolescents. Discriminant analysis correctly classified 76.5% of the males and 71.8% of the females as well as 80.4% of high-active adolescents and 73.3% of low-active adolescents on the basis of the three meaning components. Further, the results indicated that the significant predictors of exercise behavior varied as a function of gender as well as the adolescents' level of physical activity.

  13. Predictors of institutional delivery in Sodo town, Southern Ethiopia

    PubMed Central

    Woldie, Mirkuzie; Tafese, Fikru

    2013-01-01

    Background Women are more liable to die during or following delivery than during pregnancy but use of both delivery services and post-partum care is low. Objective To find out the prevalence and predictors of institutional delivery in Wolaita Sodo (Sodo) town, southern Ethiopia. Methods A cross-sectional study was used to look at 844 women who had given birth in the previous five years in Sodo town. The study employed a multistage-sampling scheme. Codes were given for all identified women in selected kebeles (neighbourhoods) and a simple random-sampling technique was used after generating random numbers using the Statistical Package for Social Sciences (SPSS). SPSS was then used to carry out binary- and multiple logistic regressions. A 95% CI for the odds ratio was applied to judge the presence of relationships between variables. Results The prevalence of institutional delivery-service utilisation in Sodo town was 62.2%. Husband educational status, parity, number of antenatal clinic visits, perceived quality of care and knowledge regarding pregnancy danger signs were independent predictors of utilisation of institutional delivery services. Conclusion Institutional delivery service utilisation in Sodo town was much higher than the national figure. Findings in this study showed that promotion of antenatal care, involvement of men in maternal healthcare, provision of health education regarding the danger signs of pregnancy and improvement of service quality are recommended in order to sustain or even improve the current level of utilisation in the town.

  14. Motivational factors and negative affectivity as predictors of alcohol craving.

    PubMed

    Pombo, Samuel; Luísa Figueira, M; Walter, Henriette; Lesch, Otto

    2016-09-30

    Craving is thought to play an important role in alcohol use disorders. The recent inclusion of "craving" as a formal diagnostic symptom calls for further investigation of this subjective phenomenon with multiple dimensions. Considering that alcohol-dependent patients compensate negative physical/emotional states with alcohol, the aim of this study is to investigate alcohol craving and its correlation with drinking measures and affective personality dimensions. A sample of 135 alcohol-dependent patients (104 males and 31 females) was collected from a clinical setting. Subjects self-rated their cravings (Penn Alcohol Craving Scale) and the stage of change. Several personality scales were also administered. Craving was related to drinking status, abstinence time, age, and taking steps. After controlling for these conditions, psychological characteristics related to low self-concept, neuroticism, cyclothymic affective temperament, depression, and hostility were found to be predictors of craving in sober alcohol-dependent patients. Our results support craving as a component of the phenomenology of alcohol dependence and highlight the presence of unpleasant feelings as predictors of craving in sober alcohol-dependent patients without co-occurring psychiatric conditions. The predisposition to experience negative emotions may induce a stronger craving response and increase the likelihood of a first drink and a subsequent loss of control. PMID:27367491

  15. Predicting Performance in Higher Education Using Proximal Predictors.

    PubMed

    Niessen, A Susan M; Meijer, Rob R; Tendeiro, Jorge N

    2016-01-01

    We studied the validity of two methods for predicting academic performance and student-program fit that were proximal to important study criteria. Applicants to an undergraduate psychology program participated in a selection procedure containing a trial-studying test based on a work sample approach, and specific skills tests in English and math. Test scores were used to predict academic achievement and progress after the first year, achievement in specific course types, enrollment, and dropout after the first year. All tests showed positive significant correlations with the criteria. The trial-studying test was consistently the best predictor in the admission procedure. We found no significant differences between the predictive validity of the trial-studying test and prior educational performance, and substantial shared explained variance between the two predictors. Only applicants with lower trial-studying scores were significantly less likely to enroll in the program. In conclusion, the trial-studying test yielded predictive validities similar to that of prior educational performance and possibly enabled self-selection. In admissions aimed at student-program fit, or in admissions in which past educational performance is difficult to use, a trial-studying test is a good instrument to predict academic performance.

  16. Anthropometry as a predictor of high speed performance.

    PubMed

    Caruso, J F; Ramey, E; Hastings, L P; Monda, J K; Coday, M A; McLagan, J; Drummond, J

    2009-07-01

    To assess anthropometry as a predictor of high-speed performance, subjects performed four seated knee- and hip-extension workouts with their left leg on an inertial exercise trainer (Impulse Technologies, Newnan GA). Workouts, done exclusively in either the tonic or phasic contractile mode, entailed two one-minute sets separated by a 90-second rest period and yielded three performance variables: peak force, average force and work. Subjects provided the following anthropometric data: height, weight, body mass index, as well as total, upper and lower left leg lengths. Via multiple regression, anthropometry attempted to predict the variance per performance variable. Anthropometry explained a modest (R2=0.27-0.43) yet significant degree of variance from inertial exercise trainer workouts. Anthropometry was a better predictor of peak force variance from phasic workouts, while it accounted for a significant degree of average force and work variance solely from tonic workouts. Future research should identify variables that account for the unexplained variance from high-speed exercise performance.

  17. Predictors of drug treatment completion among parole violators.

    PubMed

    Zanis, David A; Coviello, Donna M; Lloyd, Jacqueline J; Nazar, Barry L

    2009-06-01

    This study examined the predictors of treatment completion among 380 state parole violators consecutively admitted to a comprehensive 12-month drug treatment program in lieu of reincarceration. Offenders were placed on intensive parole supervision throughout the 12-month treatment protocol and received three months of residential substance abuse treatment followed by nine months of outpatient counseling. Overall 123 (32.4%) of the offenders completed the 12-month treatment protocol. The primary reason for noncompletion was a positive drug screen. Bivariate analyses were performed to determine independent predictors of program completion. Four variables (age, past 30-day heroin use, total months incarcerated, and significant problems with mother) from the baseline Addiction Severity Index were found to be correlated with treatment completion (p <.10). These factors and other demographics (race, marital status, education) and variables found predictive of program completion in previous studies were entered into a multiple logistic regression model. Overall the final model found that only two factors--older age (p < .03) and no heroin use in the past 30 days (p < .02) significantly predicted treatment completion. These findings suggest that among parolees with moderate to extensive criminal justice histories younger individuals and those with recent heroin use respond less favorably to comprehensive substance abuse treatment services and intensive parole supervision.

  18. Predictors of Patient Satisfaction with Tertiary Hospitals in Korea

    PubMed Central

    Ham, Hye-Sook; Peck, Eun Hee; Moon, Hee Soo; Yeom, Hye-A

    2015-01-01

    This study examined the general and system-related predictors of outpatient satisfaction with tertiary health care institutions in Korea. A cross-sectional descriptive study design was employed. The subjects were 1,194 outpatients recruited from 29 outpatient clinics of a university medical center in Korea. Measurements included 5 outpatient service domains (i.e., doctor service, nurse service, technician service, convenience, and physical environment of facility) and patient satisfaction. Of the five domains, nurse service was the domain with the highest mean score (M = 4.21) and convenience was the domain with the lowest mean score (M = 3.77). The most significant predictor of patient satisfaction was the constructs of convenience (β = 0.21). The results of this study suggest that the concept of patient satisfaction with health care institutions in modern hospitals reflects an integrative process that includes not only the concerned health care personnel but also improved convenience such as user-friendly reservation system and comfortable waiting areas. PMID:25722886

  19. Predictors of engagement in first-episode psychosis.

    PubMed

    Casey, Daniel; Brown, Luke; Gajwani, Ruchika; Islam, Zoebia; Jasani, Rubina; Parsons, Helen; Tah, Priya; Birchwood, Max; Singh, Swaran P

    2016-08-01

    Engagement with psychiatric services is critical for ensuring successful outcomes in patients experiencing a first episode of psychosis (FEP). However, it is not known how sociodemographic factors and patient beliefs about the causes of mental illness affect engagement. This study explored predictors of engagement in a cohort of 103 FEP patients presenting to an early-intervention service. Beliefs that mental illness is caused by social stress or thinking odd thoughts predicted higher engagement scores. Patients with no qualifications were found to have higher engagement scores than those educated to a higher level. Ethnicity, gender, age and socioeconomic factors were not significantly correlated with engagement scores. Duration of untreated illness (DUI) significantly predicted higher engagement scores, but only for values >1220days. Duration of untreated psychosis (DUP) was not a significant predictor of patient engagement scores. Patient beliefs about the causes of mental illness are an important factor to be taken into consideration and may represent a target of interventions to increase engagement in FEP.

  20. MetAmyl: A METa-Predictor for AMYLoid Proteins

    PubMed Central

    Emily, Mathieu; Talvas, Anthony; Delamarche, Christian

    2013-01-01

    The aggregation of proteins or peptides in amyloid fibrils is associated with a number of clinical disorders, including Alzheimer's, Huntington's and prion diseases, medullary thyroid cancer, renal and cardiac amyloidosis. Despite extensive studies, the molecular mechanisms underlying the initiation of fibril formation remain largely unknown. Several lines of evidence revealed that short amino-acid segments (hot spots), located in amyloid precursor proteins act as seeds for fibril elongation. Therefore, hot spots are potential targets for diagnostic/therapeutic applications, and a current challenge in bioinformatics is the development of methods to accurately predict hot spots from protein sequences. In this paper, we combined existing methods into a meta-predictor for hot spots prediction, called MetAmyl for METapredictor for AMYLoid proteins. MetAmyl is based on a logistic regression model that aims at weighting predictions from a set of popular algorithms, statistically selected as being the most informative and complementary predictors. We evaluated the performances of MetAmyl through a large scale comparative study based on three independent datasets and thus demonstrated its ability to differentiate between amyloidogenic and non-amyloidogenic polypeptides. Compared to 9 other methods, MetAmyl provides significant improvement in prediction on studied datasets. We further show that MetAmyl is efficient to highlight the effect of point mutations involved in human amyloidosis, so we suggest this program should be a useful complementary tool for the diagnosis of these diseases. PMID:24260292

  1. Predictors of malaria in febrile children in Sokoto, Nigeria

    PubMed Central

    Singh, Sanjay; Madaki, Aboi J.K.; Jiya, Nma M.; Singh, Rupashree; Thacher, Tom D.

    2014-01-01

    Background: Presumptive diagnosis of malaria is widespread, even where microscopy is available. As fever is very nonspecific, this often leads to over diagnosis, drug wastage and loss of opportunity to consider alternative causes of fever, hence the need to improve on the clinical diagnosis of malaria. Materials and Methods: In a prospective cross-sectional comparative study, we examined 45 potential predictors of uncomplicated malaria in 800 febrile children (0-12 years) in Sokoto, Nigeria. We developed a clinical algorithm for malaria diagnosis and compared it with a validated algorithm, Olaleye's model. Results: Malaria was confirmed in 445 (56%). In univariate analysis, 13 clinical variables were associated with malaria. In multivariate analysis, vomiting (odds ratio, OR 2.6), temperature ≥ 38.5°C (OR 2.2), myalgia (OR 1.8), weakness (OR 1.9), throat pain (OR 1.8) and absence of lung crepitations (OR 5.6) were independently associated with malaria. In children over age 3 years, any 3 predictors had a sensitivity of 82% and specificity of 47% for malaria. An Olaleye score ≥ 5 had a sensitivity of 62% and a specificity of 51%. Conclusion: In hyperendemic areas, the sensitivity of our algorithm may permit presumptive diagnosis of malaria in children. Algorithm positive cases can be presumptively treated, and negative cases can undergo parasitological testing to determine need for treatment. PMID:25538366

  2. Predictors of Inpatient Utilization among Veterans with Dementia

    PubMed Central

    Godwin, Kyler M.; Morgan, Robert O.; Walder, Annette; Bass, David M.; Judge, Katherine S.; Wilson, Nancy; Snow, A. Lynn; Kunik, Mark E.

    2014-01-01

    Dementia is prevalent and costly, yet the predictors of inpatient hospitalization are not well understood. Logistic and negative binomial regressions were used to identify predictors of inpatient hospital utilization and the frequency of inpatient hospital utilization, respectively, among veterans. Variables significant at the P < 0.15 level were subsequently analyzed in a multivariate regression. This study of veterans with a diagnosis of dementia (n = 296) and their caregivers found marital status to predict hospitalization in the multivariate logistic model (B = 0.493, P = 0.029) and personal-care dependency to predict hospitalization and readmission in the multivariate logistic model and the multivariate negative binomial model (B = 1.048, P = 0.007, B = 0.040, and P = 0.035, resp.). Persons with dementia with personal-care dependency and spousal caregivers have more inpatient admissions; appropriate care environments should receive special care to reduce hospitalization. This study was part of a larger clinical trial; this trial is registered with ClinicalTrials.gov NCT00291161. PMID:24982674

  3. Empathy and values as predictors of care development.

    PubMed

    Juujärvi, Soile; Myyry, Liisa; Pesso, Kaija

    2012-10-01

    This study investigates values and affective empathy as predictors for care-based moral development. Fifty-three students from a university of applied sciences were interviewed with Skoe's Ethic of Care Interview at the beginning of their studies and two years later. Value priorities were measured by Schwartz et al.'s Portrait Value Questionnaire, empathy variables by Davis' Interpersonal Reactivity Index, and feelings of sympathy were rated using a real-life moral conflict. The results showed that students in care-oriented fields progressed in care reasoning. Real-life sympathy and the value of self-direction positively predicted development in care reasoning, whereas personal distress was a negative predictor. The results indicate that care-based moral development is more closely connected with affective empathy than personal values. Individuals who feel empathy for others, and who prefer independent thinking and action, achieve the greatest gains in care development. In conclusion, educators should encourage students' empathy and moral reasoning in authentic moral conflicts.

  4. Psychosocial predictors of weight loss by race and sex.

    PubMed

    Jerome, G J; Myers, V H; Young, D R; Matthews-Ewald, M R; Coughlin, J W; Wingo, B C; Ard, J D; Champagne, C M; Funk, K L; Stevens, V J; Brantley, P J

    2015-12-01

    This paper examined the psychosocial predictors of weight loss among race and sex subgroups. Analyses included overweight and obese participants from the PREMIER study, a previously published randomized trial that examined the effects of two multi-component lifestyle interventions on blood pressure among pre-hypertensive and stage 1 hypertensive adults. Both intervention conditions received behavioural recommendations for weight loss and group sessions. Weight and psychosocial measures of self-efficacy and social support for diet and exercise were assessed at baseline and at 6 months. There were 157 African-American (AA) women, 46 AA men, 203 non-AA women and 182 non-AA men with an average age of 50 years and average body mass index of 34 at baseline. Multiple predictor regression models were performed individually by race and sex subgroup. Among AA women, increases in diet self-efficacy were associated with weight loss. Among AA men, increases in diet-related social support and self-efficacy, along with increases in family support to exercise, were associated with weight loss (all Ps <0.05). Among non-AA women, increases in friends' support to exercise and exercise-related self-efficacy were associated with weight loss, and among non-AA men only increases in diet self-efficacy were associated with weight loss (all Ps <0.05). These results emphasize the need for targeted interventions based on race and sex to optimize the impact of lifestyle-based weight loss programmes.

  5. Predictors of individual differences in acute response to ozone exposure

    SciTech Connect

    McDonnell, W.F.; Muller, K.E.; Bromberg, P.A.; Shy, C.M. )

    1993-04-01

    The purpose of this study was to identify personal characteristics that predict individual differences in acute FEV1 response to ozone exposure. Response and predictor data were collected on 290 white male volunteers 18 to 32 yr of age who were each exposed to one of six concentrations of ozone between 0.0 and 0.40 part per million. The sample was divided into an exploratory sample of 96 and a confirmatory sample of 194 subjects. Exploratory analysis indicated that ozone, age, and several other variables explained a significant proportion of the variance in response. In the confirmatory sample, only age and ozone concentration predicted FEV1 decrement. For the combined sample ozone explained 31% of the variance, with age accounting for an additional 4%. The model predicted a decreasing response with increasing age for all nonzero ozone concentrations. For exposure to 0.40 ppm, the model predicts decrements in FEV1 of 1.07 and 0.47 L for 18- and 30-yr-old subjects, respectively. We concluded that for white male subjects age was a significant predictor of response, with older subjects being less responsive to ozone. Furthermore, we demonstrated that exploratory analysis without control of type I statistical error rates may result in apparent findings that cannot be replicated.

  6. Predictors of Lethality in Severe Leptospirosis in Urban Brazil

    PubMed Central

    Spichler, Anne S.; Vilaça, Pedro J.; Athanazio, Daniel A.; Albuquerque, Jose O. M.; Buzzar, Marcia; Castro, Bronislawa; Seguro, Antonio; Vinetz, Joseph M.

    2009-01-01

    To ascertain prognostic factors associated with fatal outcomes in severe leptospirosis, a retrospective case-control study was done using population-based surveillance data. Centralized death certificate reporting of leptospirosis mortality was combined with details of patients’ hospitalizations, which were obtained from hospitals representing all sectors of São Paulo city. Among identified leptospirosis cases, 89 lethal cases and 281 survivor cases were analyzed. Predictors of death included age > 40 years, development of oliguria, platelet count < 70,000/µL, creatinine > 3 mg/dL, and pulmonary involvement. The latter was the strongest risk factor with an estimated odds ratio of 6.0 (95% confidence interval: 3.0–12.0). Serologic findings with highest titer against Leptospira interrogans serovar Copenhageni did not show significant differences between survivors and non-survivors. Lung involvement was an important predictor of death in leptospirosis in São Paulo, of relevance in leptospirosis-endemic regions where this complication is common. PMID:19052303

  7. Predictors of Birth Weight and Gestational Age Among Adolescents

    PubMed Central

    Harville, Emily W.; Madkour, Aubrey Spriggs; Xie, Yiqiong

    2012-01-01

    Although pregnant adolescents are at high risk of poor birth outcomes, the majority of adolescents go on to have full-term, healthy babies. Data from the National Longitudinal Study of Adolescent Health, a longitudinal study of a nationally representative sample of adolescents in grades 7–12 in the United States who were surveyed from 1994–1995 through 2008, were used to examine the epidemiology of preterm birth and low birth weight within this population. Outcomes of pregnancies were reported by participants in the fourth wave of data collection (when participants were 24–32 years of age); data were compared between female participants who reported a first singleton livebirth at less than 20 years of age (n = 1,101) and those who were 20 years of age or older (n = 2,846). Multivariable modeling was used to model outcomes; predictors included demographic characteristics and maternal health and behavior. Among black adolescents, low parental educational levels and older age at pregnancy were associated with higher birth weight, whereas low parental educational levels and being on birth control when one got pregnant were associated with higher gestational age. In nonblack adolescents, lower body mass index was associated with lower birth weight, whereas being unmarried was associated with lower gestational age. Predictors of birth outcomes may differ by age group and social context. PMID:23035139

  8. An adaptive real-time disruption predictor for ASDEX Upgrade

    NASA Astrophysics Data System (ADS)

    Cannas, B.; Fanni, A.; Pautasso, G.; Sias, G.; Sonato, P.

    2010-07-01

    In this paper, a neural predictor has been built using plasma discharges selected from two years of ASDEX Upgrade experiments, from July 2002 to July 2004. In order to test the real-time prediction capability of the system, its performance has been evaluated using discharges coming from different experimental campaigns, from June 2005 to July 2007. All disruptions that occurred in the chosen experimental campaigns were included with the exception of those occurring in the ramp-up phase, in the ramp-down phase (if the disruption does not happen in the first 100 ms), those caused by massive gas injection and disruptions following vertical displacement events. The large majority of selected disruptions are of the cooling edge type and typically preceded by the growth of tearing modes, degradation of the thermal confinement and enhanced plasma radiation. A very small percentage of them happen at large beta after a short precursor phase. For each discharge, seven plasma diagnostic signals have been selected from numerous signals available in real-time. During the training procedure, a self-organizing map has been used to reduce the database size in order to improve the training of the neural network. Moreover, an optimization procedure has been performed to discriminate between safe and pre-disruptive phases. The prediction success rate has been further improved, performing an adaptive training of the network whenever a missed alarm is triggered by the predictor.

  9. Application of Mechanical Ventilation Weaning Predictors After Elective Cardiac Surgery

    PubMed Central

    Silva, Mayara Gabrielle Barbosa e; Borges, Daniel Lago; Costa, Marina de Albuquerque Gonçalves; Baldez, Thiago Eduardo Pereira; da Silva, Luan Nascimento; Oliveira, Rafaella Lima; Ferreira, Teresa de Fátima Ramos; Albuquerque, Renato Adams Matos

    2015-01-01

    OBJECTIVE To test several weaning predictors as determinants of successful extubation after elective cardiac surgery. METHODS The study was conducted at a tertiary hospital with 100 adult patients undergoing elective cardiac surgery from September to December 2014. We recorded demographic, clinical and surgical data, plus the following predictive indexes: static compliance (Cstat), tidal volume (Vt), respiratory rate (f), f/ Vt ratio, arterial partial oxygen pressure to fraction of inspired oxygen ratio (PaO2/FiO2), and the integrative weaning index (IWI). Extubation was considered successful when there was no need for reintubation within 48 hours. Sensitivity (SE), specificity (SP), positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (LR+), and negative likelihood ratio (LR-) were used to evaluate each index. RESULTS The majority of the patients were male (60%), with mean age of 55.4±14.9 years and low risk of death (62%), according to InsCor. All of the patients were successfully extubated. Tobin Index presented the highest SE (0.99) and LR+ (0.99), followed by IWI (SE=0.98; LR+ =0.98). Other scores, such as SP, NPV and LR-were nullified due to lack of extubation failure. CONCLUSION All of the weaning predictors tested in this sample of patients submitted to elective cardiac surgery showed high sensitivity, highlighting f/Vt and IWI. PMID:26934398

  10. Predictors of Using Mental Health Services After Sexual Assault

    PubMed Central

    Price, Matthew; Davidson, Tatiana M.; Ruggiero, Kenneth J.; Acierno, Ron; Resnick, Heidi S.

    2014-01-01

    Sexual assault increases the risk for psychopathology. Despite the availability of effective interventions, relatively few victims who need treatment receive care in the months following an assault. Prior work identified several factors associated with utilizing care, including ethnicity, insurance, and posttraumatic stress disorder (PTSD) symptoms. Few studies, however, have examined predictors of treatment utilization prospectively from the time of assault. The present study hypothesized that White racial status, younger age, being partnered, having health insurance, having previously received mental health treatment, and having more PTSD and depression symptoms would predict utilization of care in the 6 months postassault. This was examined in a sample of 266 female sexual assault victims with an average age of 26.2 years, of whom 62.0% were White and 38.0% were African American assessed at 1.5 and 6 months postassault. Available information on utilizing care varied across assessments (1.5 months, n = 214; 3 months, n = 126; 6 months, n = 204). Significant predictors included having previously received mental health treatment (OR = 4.09), 1 day depressive symptoms (OR = 1.06), and having private insurance (OR = 2.24) or Medicaid (OR = 2.19). Alcohol abuse and prior mental health care were associated with a substantial increase in treatment utilization (OR = 4.07). The findings highlight the need to help victims at risk obtain treatment after sexual assault. PMID:24852357

  11. Predictors of spirituality at the end of life

    PubMed Central

    Mystakidou, Kyriaki; Tsilika, Eleni; Prapa, Efi; Smyrnioti, Marilena; Pagoropoulou, Anna; Lambros, Vlahos

    2008-01-01

    ABSTRACT OBJECTIVE To assess the relationship between spirituality and hopelessness, desire for hastened death, and clinical and disease-related characteristics among patients with advanced cancer, and to investigate predictors of spirituality. Spiritual well-being is thought to have a beneficial effect on patients’ response to illness. DESIGN Patients were asked to complete 4 questionnaires: the Greek version of the Spiritual Involvement and Beliefs Scale, the Greek version of the Schedule of Attitudes toward Hastened Death, the Beck Hopelessness Scale, and a questionnaire on demographics. SETTING A palliative care unit in Athens, Greece. PARTICIPANTS A total of 91 patients with advanced cancer. MAIN OUTCOME MEASURES Associations between scores on the Spiritual Involvement and Beliefs scale and scores on the Schedule of Attitudes toward Hastened Death scale and the Beck Hopelessness scale, and demographic characteristics. RESULTS Statistically significant associations were found between spirituality and sex of patients (P = .001) and spirituality and stronger hopelessness (r = 0.252, P = .016). In multivariate analyses, stronger hopelessness, male sex, younger age, and receiving chemotherapy were found to be the strongest predictors of being spiritual. CONCLUSION Demographic and clinical characteristics and stronger hopelessness appeared to have statistically significant relationships with spirituality. Interventions to improve patients’ spiritual well-being should take these relationships into account. PMID:19074719

  12. Incidence and predictors of smokeless tobacco use among US youth.

    PubMed Central

    Tomar, S L; Giovino, G A

    1998-01-01

    OBJECTIVES: The purpose of this study was to provide estimates of the cumulative incidence of initiation of smokeless tobacco use in a cohort of young persons and to explore sociodemographic, environmental, behavioral, and personal predictors of experimentation with and regular use of snuff or chewing tobacco. METHODS: The data for this cohort study were derived from the 1989 Teenage Attitudes and Practices Survey and its 1993 follow-up. The study included 7830 young people 11 through 19 years of age at baseline. RESULTS: During the 4 years, 12.7% of participants (20.9% of male participants) first tried smokeless tobacco, and 4.0% (8.0% of male participants) became self-classified regular users. This suggests that, each year, approximately 824000 young people in the United States 11 to 19 years of age experiment with smokeless tobacco and about 304 000 become regular users. Cumulative incidence was highest for male non-Hispanic Whites. Predictors of regular use included age, geographic region, cigarette smoking, participation in organized sports, and perceived friends' approval or indifference. CONCLUSIONS: Public health approaches to preventing use of smokeless tobacco should include development of skills for responding to pressures to use tobacco. PMID:9584028

  13. Gene-Expression-Based Predictors for Breast Cancer.

    PubMed

    Gupta, Arjun; Mutebi, Miriam; Bardia, Aditya

    2015-10-01

    An important and often complicated management decision in early stage hormone receptor (HR)-positive breast cancer relates to the use of adjuvant systemic chemotherapy. Although traditional clinicopathologic markers exist, tremendous progress has been achieved in the field of predictive biomarkers and genomics with both prognostic and predictive capabilities to identify patients who will potentially benefit from additional therapy. The use of these genomic tests in the neoadjuvant setting is also being studied and may lead to these tests providing clinical benefit even earlier in the disease course. Landmark articles published in the last few years have expanded our knowledge of breast cancer genomics to an unprecedented level, and mutational analysis via next-generation sequencing methods allows the identification of molecular targets for novel targeted therapeutic agents and clinical trials testing efficacy of targeted therapies, such as PI3K inhibitors, in addition to endocrine therapy for HR-positive breast cancer, are ongoing. We provide an in-depth review on the role of gene expression-based predictors in early stage breast cancer and an overview of future directions, including next-generation sequencing. Over the coming years, we anticipate a significant increase in utilization of genomic-based predictors for individualized selection and duration of endocrine therapy with and without genotype-driven targeted therapy, and a major decrease in the use of chemotherapy, possibly even leading to a chemotherapy-free road for early stage HR-positive breast cancer. PMID:26215189

  14. Predictors of multi-organ dysfunction in heatstroke

    PubMed Central

    Varghese, G; John, G; Thomas, K; Abraham, O; Mathai, D

    2005-01-01

    Background: Heatstroke is a medical emergency that results from failure of thermoregulatory mechanism coupled with an exaggerated acute phase response, causing an elevation in core body temperature that rises above 40°C, producing multi-organ dysfunction. It carries a high mortality rate, and in survivors, a risk of permanent neurological damage. Objective: To investigate predictors of multiple organ dysfunction syndrome in patients presenting with heatstroke. Methods: We investigated 28 patients admitted to a hospital in southern India during the period January 1998 to December 2001. Using a standard form, we collected data on the patients' characteristics, laboratory data, and outcome, and compared those with multiple organ dysfunction with those without such dysfunction. Results: We found that more than three quarters of the studied patients developed multiple organ dysfunction, with the most common dysfunction being respiratory failure. Among the selected predictors, metabolic acidosis 14 of 16 patients, 87.5%; p = 0.011, elevated CPK 17 of 19 patients, 89.5%; p = 0.005, and liver enzymes elevated more than twice the normal (11 of 18 patients, 61%; p = 0.02) had the highest correlation with dysfunction of two or more organs. Conclusions: The high mortality observed in heatstroke is secondary to multi-organ dysfunction, and among the various parameters assessed, high levels of CPK (>1000 IU/l), metabolic acidosis, and elevated liver enzymes are predictive. Aggressive measures to lower the body temperature with other supportive therapy could substantially reduce the mortality. PMID:15735266

  15. Independent Predictors of Delay in Emergence From General Anesthesia

    PubMed Central

    Maeda, Shigeru; Tomoyasu, Yumiko; Higuchi, Hitoshi; Ishii-Maruhama, Minako; Egusa, Masahiko; Miyawaki, Takuya

    2015-01-01

    Some patients with intellectual disabilities spend longer than others in emergence from ambulatory general anesthesia for dental treatment. Although antiepileptic drugs and anesthetics might be involved, an independent predictor for delay of the emergence remains unclear. Thus, a purpose of this study is to identify independent factors affecting the delay of emergence from general anesthesia. This was a retrospective cohort study in dental patients with intellectual disabilities. Patients in need of sedative premedication were removed from participants. The outcome was time until emergence from general anesthesia. Stepwise multivariate regression analysis was used to extract independent factors affecting the outcome. Antiepileptic drugs and anesthetic parameters were included as predictor variables. The study included 102 cases. Clobazam, clonazepam, and phenobarbital were shown to be independent determinants of emergence time. Parameters relating to anesthetics, patients' backgrounds, and dental treatment were not independent factors. Delay in emergence time in ambulatory general anesthesia is likely to be related to the antiepileptic drugs of benzodiazepine or barbiturates in patients with intellectual disability. PMID:25849468

  16. Neo-piagetian predictors of achievement in physical science

    NASA Astrophysics Data System (ADS)

    Roth, Wolff-Michael

    This article examines the predictive value of the cognitive variables of developmental level, mental capacity, cognitive style, short-term storage space, and numerical inductive reasoning for student achievement in college science. Achievement was analyzed for each of the categories of pure recall, computational, complex items, and total score of a midterm exam as well as for the composite score on a final exam. The sample for this study consisted of a class of 32 nonscience majors enrolled in Physical Science I at the University of Southern Mississippi. The results showed that developmental level was the single best predictor of achievement. Short-term storage space and mental capacity were significant predictors of achievement for computational and complex items, but, as expected from theoretical considerations, not for pure recall items. The degree of field dependence did not well predict performance on pure recall or computational items. The results also indicate that mental capacity and field dependence do not contribute significantly to the variance if developmental level is held constant. The pattern of the predictive power of numerical inductive reasoning parallels, in magnitude, that of mental capacity. The results of this study and its implications indicate that the construct of short-term storage space has great potential to guide classroom practice and the development of instructional materials. A strategy is outlined that would guide curriculum planners and classroom teachers in the development of materials which would allow students to develop complex problem-solving behaviors.

  17. Clinical Predictors of Acute Kidney Injury Following Snake Bite Envenomation

    PubMed Central

    Dharod, Mrudul V; Patil, Tushar B; Deshpande, Archana S; Gulhane, Ragini V; Patil, Mangesh B; Bansod, Yogendra V

    2013-01-01

    Background: Snake bite envenomation is a major public health concern in developing countries. Acute kidney injury (AKI) is as important cause of mortality in patients with vasculotoxic snake bite. Aims: This study was to evaluate the clinical profile of snake bite patients and to determine the predictors of developing AKI following snake bite. Materials and Methods: Two hundred and eighty-one patients with snake envenomation were included. Eighty-seven patients developed AKI (Group A) and 194 (Group B) did not. History, examination findings and investigations results were recorded and compared between the two groups. Results: In group A, 61 (70.11%) patients were male and in group B, 117 (60.30%) patients were male. Out of 281 patients, 232 had cellulitis, 113 had bleeding tendencies, 87 had oliguria, 76 had neuroparalysis, and 23 had hypotension at presentation. After multivariate analysis, bite to hospital time (P = 0.016), hypotension (P = 0.000), albuminuria (P = 0.000), bleeding time (P = 0.000), prothrombin time (P = 0.000), hemoglobin (P = 0.000) and total bilirubin (P = 0.010) were significant independent predictors of AKI. Conclusions: AKI developed in 30.96% of patients with snake bite, leading to mortality in 39.08% patients. Factors associated with AKI are bite to hospital time, hypotension, albuminuria, prolonged bleeding time, prolonged prothrombin time, low hemoglobin and a high total bilirubin. PMID:24350071

  18. Predictors of clinical pain intensity in patients with fibromyalgia syndrome.

    PubMed

    Staud, Roland

    2004-08-01

    Central changes in pain processing have been previously reported in patients with fibromyalgia syndrome. These changes include decreased thresholds to mechanical and thermal stimuli (allodynia) and central sensitization, both of which are fundamental to the generation of clinical pain. Therefore, psychophysical measures of central pain processing may be useful predictors of clinical pain intensity of fibromyalgia syndrome patients. Previous studies of fibromyalgia syndrome patients have shown statistically significant correlations of psychophysical test results with clinical pain intensity. The tests used to characterize this important relationship were dependent on spinal cord pain mechanisms and included temporal summation of pain or wind-up and wind-up after-sensations. Particularly, the magnitude of wind-up after-sensations appeared to be one of the best predictors for clinical pain intensity of fibromyalgia syndrome patients (27%). Furthermore, the combination of tender point count, negative affect, and wind-up after-sensations accounted for approximately 50% of the variance in clinical pain intensity of fibromyalgia syndrome patients. Therefore, wind-up after-sensations, tender point count, and negative affect not only seem to represent relevant pain mechanisms but also strongly emphasize their importance for fibromyalgia syndrome pain.

  19. Predicting Performance in Higher Education Using Proximal Predictors

    PubMed Central

    Niessen, A. Susan M.; Meijer, Rob R.; Tendeiro, Jorge N.

    2016-01-01

    We studied the validity of two methods for predicting academic performance and student-program fit that were proximal to important study criteria. Applicants to an undergraduate psychology program participated in a selection procedure containing a trial-studying test based on a work sample approach, and specific skills tests in English and math. Test scores were used to predict academic achievement and progress after the first year, achievement in specific course types, enrollment, and dropout after the first year. All tests showed positive significant correlations with the criteria. The trial-studying test was consistently the best predictor in the admission procedure. We found no significant differences between the predictive validity of the trial-studying test and prior educational performance, and substantial shared explained variance between the two predictors. Only applicants with lower trial-studying scores were significantly less likely to enroll in the program. In conclusion, the trial-studying test yielded predictive validities similar to that of prior educational performance and possibly enabled self-selection. In admissions aimed at student-program fit, or in admissions in which past educational performance is difficult to use, a trial-studying test is a good instrument to predict academic performance. PMID:27073859

  20. Are competition and extrinsic motivation reliable predictors of academic cheating?

    PubMed

    Orosz, Gábor; Farkas, Dávid; Roland-Lévy, Christine

    2013-01-01

    Previous studies suggest that extrinsic motivation and competition are reliable predictors of academic cheating. The aim of the present questionnaire study was to separate the effects of motivation- and competition-related variables on academic cheating by Hungarian high school students (N = 620, M = 264, F = 356). Structural equation modeling showed that intrinsic motivation has a negative effect, and amotivation has a positive indirect effect on self-reported academic cheating. In contrast, extrinsic motivation had no significant effect. Indirect positive influence on cheating, based on some characteristics of hypercompetition, was also found, whereas attitudes toward self-developmental competition had a mediated negative influence. Neither constructive nor destructive competitive classroom climate had a significant impact on academic dishonesty. Acceptance of cheating and guilt has significant and direct effect on self-reported cheating. In comparison with them, the effects of motivational and competition-related variables are relatively small, even negligible. These results suggest that extrinsic motivation and competition are not amongst the most reliable predictors of academic cheating behavior.

  1. Gyrification brain abnormalities as predictors of outcome in anorexia nervosa.

    PubMed

    Favaro, Angela; Tenconi, Elena; Degortes, Daniela; Manara, Renzo; Santonastaso, Paolo

    2015-12-01

    Gyrification brain abnormalities are considered a marker of early deviations from normal developmental trajectories and a putative predictor of poor outcome in psychiatric disorders. The aim of this study was to explore cortical folding morphology in patients with anorexia nervosa (AN). A MRI brain study was conducted on 38 patients with AN, 20 fully recovered patients, and 38 healthy women. Local gyrification was measured with procedures implemented in FreeSurfer. Vertex-wise comparisons were carried out to compare: (1) AN patients and healthy women; (2) patients with a full remission at a 3-year longitudinal follow-up assessment and patients who did not recover. AN patients exhibited significantly lower gyrification when compared with healthy controls. Patients with a poor 3-year outcome had significantly lower baseline gyrification when compared to both healthy women and patients with full recovery at follow-up, even after controlling for the effects of duration of illness and gray matter volume. No significant correlation has been found between gyrification, body mass index, amount of weight loss, onset age, and duration of illness. Brain gyrification significantly predicted outcome at follow-up even after controlling for the effects of duration of illness and other clinical prognostic factors. Although the role of starvation in determining our findings cannot be excluded, our study showed that brain gyrification might be a predictor of outcome in AN. Further studies are needed to understand if brain gyrification abnormalities are indices of early neurodevelopmental alterations, the consequence of starvation, or the interaction between both factors.

  2. Neurocognitive predictors of social cognition in remitted schizophrenia.

    PubMed

    Mehta, Urvakhsh Meherwan; Bhagyavathi, Haralahalli D; Thirthalli, Jagadisha; Kumar, Keshav J; Gangadhar, Bangalore N

    2014-10-30

    Knowledge of how specific neurocognition (NC) abilities predict social cognition (SC) in schizophrenia has potential to guide novel integrated cognitive-remediation therapies. The scope of studies conducted in this field is limited as they have not examined a comprehensive set of SC domains and they employ small sample sizes of heterogeneous patient groups. We studied a broad range of NC (sustained attention, processing speed, verbal/visual memory and visual processing/encoding, cognitive flexibility and planning) and SC [different levels of theory of mind (ToM)], attributional bias, emotion recognition and social perception] abilities in 170 remitted schizophrenia patients. Multivariate regression analyses revealed attention and planning as predictors of 1st order ToM. Memory encoding was the strongest predictor of 2nd order ToM. Faux-pas recognition, social perception and emotion recognition were influenced by a combination of cognitive flexibility and memory encoding abilities. Overall, NC predicted anywhere between ~4% and 40% of variance observed in specific SC sub-dimensions of attributional bias (4%), 1st order (19%) and 2nd order (12%) theory of mind, faux-pas recognition (28%), social perception (29%) and emotion recognition (39%). Individual SC abilities are predicted by distinctive as well as shared NC abilities. These findings have important implications for integrated cognitive remediation. PMID:24953420

  3. Workplace stress among psychiatric nurses. Prevalence, distribution, correlates, & predictors.

    PubMed

    Robinson, J Renée; Clements, Karen; Land, Colleen

    2003-04-01

    Vicarious trauma and burnout are serious manifestations of workplace stress. Both can have substantial consequences for health care professionals, health services, and consumers. This article reports results of a study examining the prevalence, distribution, correlates, and predictors of vicarious trauma and burnout among registered psychiatric nurses (RPNs). A survey was distributed to all practicing RPNs in Manitoba, Canada (N = 1,015). The survey contained the Maslach Burnout Inventory, the Traumatic Stress Institute Belief Scale (i.e., a measure of vicarious trauma), and a section on symptoms of posttraumatic stress disorder (PTSD). The RPNs were found to be experiencing high levels of emotional exhaustion (i.e., high burnout) and even higher levels of personal accomplishment (i.e., low burnout). No significant differences were found between respondents' total scores on the Traumatic Stress Institute Belief Scale and instrument norms for mental health care professionals. Predictors of burnout and vicarious trauma also are presented in this article. Stress experienced by RPNs, as well as strengths on which to build, clearly are evident in the study results. Strategies for reduction in workplace stress may benefit psychiatric nurses, clients, and health services. PMID:12698821

  4. The predictors of survival in Chinese amyotrophic lateral sclerosis patients.

    PubMed

    Wei, Qianqian; Chen, Xueping; Zheng, Zhenzhen; Guo, Xiaoyan; Huang, Rui; Cao, Bei; Zeng, Yan; Shang, Huifang

    2015-06-01

    Amyotrophic lateral sclerosis (ALS) is a rapidly progressive neurodegenerative disease, so it is important to explore the survival factors for ALS. Our aim was to evaluate the predictors of survival in Chinese ALS patients. A total of 1049 sporadic ALS patients were enrolled. Kaplan-Meier curves were used to compare survival time. Cox proportional hazards function and the hazard ratio were used to identify adjusted prognostic predictors. Results showed that the mean age of onset was 52.6 ± 12.0 years. During follow-up, 155 patients (14.8%) were lost and 378 patients were deceased. Median survival was 33 months for the deceased patients. In the adjusted Cox proportional hazard model, age of onset, diagnosis delay, rate of disease progression, and non-invasive positive pressure ventilation (NIPPV) treatment had an effect on survival in ALS. In conclusion, our study provides information on survival factors for Chinese ALS patients. Although the onset age of Chinese ALS patients is earlier than that of Caucasian patients, survival factors, including the age of onset, diagnostic delay, rate of disease progression, and NIPPV treatment, are similar.

  5. Face and body: independent predictors of women's attractiveness.

    PubMed

    Bleske-Rechek, April; Kolb, Carolyn M; Stern, Amy Steffes; Quigley, Katherine; Nelson, Lyndsay A

    2014-10-01

    Women's faces and bodies are both thought to provide cues to women's age, health, fertility, and personality. To gain a stronger understanding of how these cues are utilized, we investigated the degree to which ratings of women's faces and bodies independently predicted ratings of women's full-body attractiveness. Women came into the lab not knowing they would be photographed. In Study 1 (N = 84), we photographed them in their street clothes; in Study 2 (N = 74), we photographed women in a solid-colored two-piece swimsuit that revealed their body shape, body size, and breast size. We cropped each woman's original photo into an additional face-only photo and body-only photo; then, independent sets of raters judged women's pictures. When dressed in their original clothes, women's face-only ratings were better independent predictors of full-body attractiveness ratings than were their body-only ratings. When cues displayed in women's bodies were made conspicuous by swimsuits, ratings of faces and bodies were similarly strong predictors of full-body attractiveness ratings. Moreover, women's body mass index and waist-to-hip ratio were tied to ratings of women's body attractiveness, with waist-to-hip ratio more important among women wearing swimsuits than among women wearing their original clothes. These results suggest that perceivers attend to cues of women's health, fertility, and personality to the extent that they are visible. PMID:24830907

  6. Biomarkers of ovarian reserve as predictors of reproductive potential.

    PubMed

    Steiner, Anne Z

    2013-11-01

    The size of the oocyte pool, the ovarian reserve, can determine a woman's reproductive stage. Chronologic age, anti-Müllerian hormone (AMH) levels, early follicular phase follicle-stimulating hormone levels, and early follicular phase inhibin B levels are correlated with ovarian reserve. Therefore, these biomarkers of ovarian reserve should serve as predictors of reproductive potential. Clinical and epidemiologic studies suggest that historical and laboratory biomarkers of ovarian reserve are associated with natural and treatment-related fertility. However, controversy remains as to their ability to predict reproductive potential. For infertile women undergoing assisted reproductive technology treatment, these biomarkers tend to be highly specific but not sensitive for cycle failure (nonpregnancy). While these biomarkers are being used as "fertility tests" in the general population, their value as predictors of unassisted fertility is still uncertain. Among laboratory biomarkers, AMH appears to have the most promise; however, further studies are needed to refine cutoff values and to determine test characteristics in the prediction of natural fertility or infertility in the general population.

  7. Necrotizing fasciitis: epidemiology and clinical predictors for amputation

    PubMed Central

    Khamnuan, Patcharin; Chongruksut, Wilaiwan; Jearwattanakanok, Kijja; Patumanond, Jayanton; Tantraworasin, Apichat

    2015-01-01

    Background Necrotizing fasciitis, a relatively uncommon infection involving the skin, subcutaneous tissue, and fascia, is a rapidly progressive soft tissue infection and a medical and surgical urgency. Delayed debridement, with subsequent huge soft tissue loss is associated with loss of limb and infection and is the most common cause of mortality. The purpose of this work is to describe the epidemiology of necrotizing fasciitis and to identify the clinical characteristics that may be used to predict amputation in routine clinical practice. Methods Retrospective cohort study data were collected from three general hospitals located in the Chiang Rai, Kamphaeng Phet, and Phayao provinces in northern Thailand. Epidemiologic data for all patients with a surgically confirmed diagnosis of necrotizing fasciitis between 2009 and 2012 were collected. Medical records and reviews were retrieved from inpatient records, laboratory reports, and registers. Clinical predictors for amputation were analyzed by multivariable risk regression. Results A total of 1,507 patients with a diagnosis of necrotizing fasciitis were classified as being with amputation (n=127, 8.4%) and without amputation (n=1,380, 91.6%). The most common causative Gram-positive and Gram-negative pathogens were Streptococcus pyogenes (33.3% in the amputation group and 40.8% in the non-amputation group) and Escherichia coli (25% in the amputation group and 17.1% in the non-amputation group). Predictive factors for amputation included gangrene (risk ratio [RR] 4.77, 95% confidence interval [CI] 2.70–8.44), diabetes mellitus (RR 3.08, 95% CI 1.98–4.78), skin necrosis (RR 2.83, 95% CI 2.52–3.18), soft tissue swelling (RR 1.76, 95% CI 1.24–2.49), and serum creatinine values ≥1.6 mg/dL on admission (RR 1.71, 95% CI 1.38–2.12). All data were analyzed using the multivariable risk regression generalized linear model. Conclusion The most causative pathogens were S. pyogenes and E. coli. Clinical predictors for

  8. 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)

  9. Examining Ethnic Differences in Predictors of Female Adolescent Smoking in Rural Virginia

    ERIC Educational Resources Information Center

    Huebner, Angela J.; Shettler, Lauren; Matheson, Jennifer L.; Meszaros, Peggy S.; Piercy, Fred P.; Davis, Sean D.

    2006-01-01

    We examined the salience of multiple ecological factors (individual, family, peer, school, and community) as differential predictors of smoking for adolescent African-Americans and Whites in a sample of 2,029 7th-12th grade girls from a Mid-Atlantic southeastern state. Hierarchical regression analyses revealed that significant predictors of…

  10. Early Mastery Motivation as a Predictor of Executive Function in Young Adults with Developmental Disabilities

    ERIC Educational Resources Information Center

    Hauser-Cram, Penny; Woodman, Ashley Cynthia; Heyman, Miriam

    2014-01-01

    The role of early childhood mastery motivation as a predictor of executive function 20 years later was examined in a sample of 39 individuals who had early diagnosed developmental disabilities. Multilevel modeling was used to analyze predictors of accuracy and response time on a Flanker task measuring executive function. As predicted, participants…

  11. Predictors of Outcome for Children Receiving Intensive Behavioral Intervention in a Large, Community-Based Program

    ERIC Educational Resources Information Center

    Perry, Adrienne; Cummings, Anne; Geier, Jennifer Dunn; Freeman, Nancy L.; Hughes, Susan; Managhan, Tom; Reitzel, Jo-Ann; Williams, Janis

    2011-01-01

    This study reports on predictors of outcome in 332 children, aged 2-7 years, enrolled in the community-based Intensive Behavioral Intervention (IBI) program in Ontario, Canada. Data documenting children's progress were reported in an earlier publication (Perry et al., 2008). The present paper explores the degree to which four predictors (measured…

  12. Channel Error Propagation In Predictor Adaptive Differential Pulse Code Modulation (DPCM) Coders

    NASA Astrophysics Data System (ADS)

    Devarajan, Venkat; Rao, K. R.

    1980-11-01

    New adaptive differential pulse code modulation (ADPCM) coders with adaptive prediction are proposed and compared with existing non-adaptive DPCM coders, for processing composite National Television System Commission (NTSC) television signals. Comparisons are based on quantitative criteria as well as subjective evaluation of the processed still frames. The performance of the proposed predictors is shown to be independent of well-designed quantizers and better than existing predictors in such critical regions of the pictures as edges ind contours. Test data consists of four color images with varying levels of activity, color and detail. The adaptive predictors, however, are sensitive to channel errors. Propagation of transmission noise is dependent on the type of prediction and on location of noise i.e., whether in an uniform region or in an active region. The transmission error propagation for different predictors is investigated. By introducing leak in predictor output and/or predictor function it is shown that this propagation can be significantly reduced. The combination predictors not only attenuate and/or terminate the channel error propagation but also improve the predictor performance based on quantitative evaluation such as essential peak value and mean square error between the original and reconstructed images.

  13. Personality Typologies as a Predictor of Being a Successful Elementary School Principal

    ERIC Educational Resources Information Center

    Mendiburu, John G.

    2010-01-01

    Purpose: The purpose of this study was to examine personality typologies as a predictor of being a successful elementary school principal. Methodology: A post-hoc analysis design was used to describe the personality typologies as a predictor of being a successful elementary school principal. Eighteen principals were selected to participate in…

  14. Teacher Self-Efficacy as a Long-Term Predictor of Instructional Quality in the Classroom

    ERIC Educational Resources Information Center

    Künsting, Josef; Neuber, Victoria; Lipowsky, Frank

    2016-01-01

    In this longitudinal study, we examined teachers' self-efficacy as a long-term predictor of their mastery goal orientation and three dimensions of instructional quality: supportive classroom climate, effective classroom management, and cognitive activation. Mastery goal orientation was also analyzed as a predictor of instructional quality.…

  15. The Cognitive Predictors of Computational Skill with Whole versus Rational Numbers: An Exploratory Study

    ERIC Educational Resources Information Center

    Seethaler, Pamela M.; Fuchs, Lynn S.; Star, Jon R.; Bryant, Joan

    2011-01-01

    The purpose of the present study was to explore the 3rd-grade cognitive predictors of 5th-grade computational skill with rational numbers and how those are similar to and different from the cognitive predictors of whole-number computational skill. Students (n=688) were assessed on incoming whole-number calculation skill, language, nonverbal…

  16. Predictors of College Retention and Performance between Regular and Special Admissions

    ERIC Educational Resources Information Center

    Kim, Johyun

    2015-01-01

    This predictive correlational research study examined the effect of cognitive, demographic, and socioeconomic variables as predictors of regular and special admission students' first-year GPA and retention among a sample of 7,045 students. Findings indicated high school GPA and ACT scores were the two most effective predictors of regular and…

  17. Effect of a Predictor Instrument on Learning to Land a Simulated Jet Trainer. Final Report.

    ERIC Educational Resources Information Center

    Smith, Russell L.; And Others

    The study investigates the potential utility of a predictor instrument in the training of manual control operators in aircraft simulators. Various predictor display design configurations were presented to subjects during training trials on an aircraft approach to landing task. Subsequently, subjects were tested on trials devoid of the predictor…

  18. Examination of Predictors and Moderators for Self-Help Treatments of Binge-Eating Disorder

    ERIC Educational Resources Information Center

    Masheb, Robin M.; Grilo, Carlos M.

    2008-01-01

    Predictors and moderators of outcomes were examined in 75 overweight patients with binge-eating disorder (BED) who participated in a randomized clinical trial of guided self-help treatments. Age variables, psychiatric and personality disorder comorbidity, and clinical characteristics were tested as predictors and moderators of treatment outcomes.…

  19. High School and College Grades: Is Past Performance a Predictor of Future Performance?

    ERIC Educational Resources Information Center

    Fletcher, John T.; Halpin, Gerald; Halpin, Glennelle

    Whether a set of predictor variables could be identified from pre-enrollment and post-enrollment data that would differentiate students who advance to a major in engineering from those who do not was studied with students at Auburn University, Alabama. Also studied was whether predictors could be isolated that would identify students likely to…

  20. Predictors of Enrollment and Retention in a Preventive Parenting Intervention for Divorced Families

    ERIC Educational Resources Information Center

    Winslow, Emily B.; Bonds, Darya; Wolchik, Sharlene; Sandler, Irwin; Braver, Sanford

    2009-01-01

    Participation rates in parenting programs are typically low, severely limiting the public health significance of these interventions. We examined predictors of parenting program enrollment and retention in a sample of 325 divorced mothers. Predictors included intervention timing and maternal reports of child, parent, family, and sociocultural risk…

  1. Predictors of Responsible Behavior in Members of Three Wisconsin Conservation Organizations.

    ERIC Educational Resources Information Center

    Sivek, Daniel J.; Hungerford, Harold

    1990-01-01

    Three different organizations were surveyed and the results compared to the responses of a sample of Sierra Clubs to investigate predictors of responsible environmental behavior. Perceived skill in using environmental action strategies, level of environmental sensitivity, and locus of control were identified as the most important predictors. (CW)

  2. Predictors of Bullying and Victimization in Childhood and Adolescence: A Meta-Analytic Investigation

    ERIC Educational Resources Information Center

    Cook, Clayton R.; Williams, Kirk R.; Guerra, Nancy G.; Kim, Tia E.; Sadek, Shelly

    2010-01-01

    Research on the predictors of 3 bully status groups (bullies, victims, and bully victims) for school-age children and adolescents was synthesized using meta-analytic procedures. The primary purpose was to determine the relative strength of individual and contextual predictors to identify targets for prevention and intervention. Age and how…

  3. Prevalence and Predictors of Change in Adult-Child Primary Caregivers

    ERIC Educational Resources Information Center

    Szinovacz, Maximiliane E.; Davey, Adam

    2013-01-01

    Family caregiving research is increasingly contextual and dynamic, but few studies have examined prevalence and predictors of change in primary caregivers, those with the most frequent contact with healthcare professionals. We identified prevalence and predictors of 2-year change in primary adult-child caregivers. Data pooled from the 1992-2000…

  4. Predictors and Moderators of Treatment Outcome in the Pediatric Obsessive Compulsive Treatment Study (POTS I)

    ERIC Educational Resources Information Center

    Garcia, Abbe Marrs; Sapyta, Jeffrey J.; Moore, Phoebe S.; Freeman, Jennifer B.; Franklin, Martin E.; March, John S.; Foa, Edna B.

    2010-01-01

    Objective: To identify predictors and moderators of outcome in the first Pediatric OCD Treatment Study (POTS I) among youth (N = 112) randomly assigned to sertraline, cognitive behavioral therapy (CBT), both sertraline and CBT (COMB), or a pill placebo. Method: Potential baseline predictors and moderators were identified by literature review. The…

  5. Changes in Situational and Dispositional Factors as Predictors of Job Satisfaction

    ERIC Educational Resources Information Center

    Keller, Anita C.; Semmer, Norbert K.

    2013-01-01

    Arguably, job satisfaction is one of the most important variables with regard to work. When explaining job satisfaction, research usually focuses on predictor variables in terms of levels but neglects growth rates. Therefore it remains unclear how potential predictors evolve over time and how their development affects job satisfaction. Using…

  6. Investigation of Remedial Education Course Scores as a Predictor of Introduction-Level Course Performances

    ERIC Educational Resources Information Center

    Ulmer, Ward; Means, Darris R.; Cawthon, Tony W.; Kristensen, Sheryl A.

    2016-01-01

    This study explores whether performance in remedial English and remedial math is a predictor of success in a college-level introduction English or college-level math class; and whether demographic variables increase the likelihood of remedial English and remedial math as a predictor of success in a college-level introduction English or…

  7. 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…

  8. Pre-Veterinary Medical Grade Point Averages as Predictors of Academic Success in Veterinary College.

    ERIC Educational Resources Information Center

    Julius, Marcia F.; Kaiser, Herbert E.

    1978-01-01

    A five-year longitudinal study was designed to find the best predictors of academic success in veterinary school at Kansas State University and to set up a multiple regression formula to be used in selecting students. The preveterinary grade point average was found to be the best predictor. (JMD)

  9. Symptom, Family, and Service Predictors of Children's Psychiatric Rehospitalization within One Year of Discharge.

    ERIC Educational Resources Information Center

    Blader, Joseph C.

    2004-01-01

    Objective: To investigate predictors of readmission to inpatient psychiatric treatment for children aged 5 to 12 discharged from acute-care hospitalization. Method: One hundred nine children were followed for 1 year after discharge from inpatient care. Time to rehospitalization was the outcome of interest. Predictors of readmission, examined via…

  10. Adolescent Mothers and Depression: Predictors of Resilience and Risk through the Toddler Years

    ERIC Educational Resources Information Center

    Eshbaugh, Elaine M.

    2006-01-01

    This study investigated predictors of depression in 278 African-American, 206 European-American, and 122 Hispanic teen mothers approximately 36 months after the birth while controlling for depression 14 months after the birth. Predictor variables were age, ethnicity, mastery, knowledge of development, and parental distress. Younger teens were not…

  11. Comparing Predictors in Multivariate Regression Models: An Extension of Dominance Analysis

    ERIC Educational Resources Information Center

    Azen, Razia; Budescu, David V.

    2006-01-01

    Dominance analysis (DA) is a method used to compare the relative importance of predictors in multiple regression. DA determines the dominance of one predictor over another by comparing their additional R[squared] contributions across all subset models. In this article DA is extended to multivariate models by identifying a minimal set of criteria…

  12. Gender Role Attitudes, Religion, and Spirituality as Predictors of Domestic Violence Attitudes in White College Students

    ERIC Educational Resources Information Center

    Berkel, LaVerne A.; Vandiver, Beverly J.; Bahner, Angela D.

    2004-01-01

    In this study we investigated gender role attitudes, religion, and spirituality as predictors of beliefs about violence against women in a sample of 316 White college students. Results indicated that gender role attitudes were the best overall predictor of domestic violence beliefs. Spirituality also contributed to the models for men and women.…

  13. Predictors of children's active commuting to school: An observational evaluation in 5 U.S. communities

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Few reports examined long term predictors of children's active commuting to school (walking or cycling to school, ACS). The purpose of this study was to identify predictors of ACS over 1 school year among a sample of children with relatively high rates of ACS. Parents were surveyed in September 201...

  14. "Turn that Thing off!" Parent and Adolescent Predictors of Proactive Media Monitoring

    ERIC Educational Resources Information Center

    Padilla-Walker, Laura M.; Coyne, Sarah M.

    2011-01-01

    Though much research has focused on the positive outcomes of parents' monitoring of adolescents' media use, few studies have examined predictors of parents' media monitoring. Accordingly, the current study was designed to assess both parent and child predictors of proactive media monitoring during adolescence. Participants consisted of 478…

  15. Identifying Predictors of Social Functioning in College Students: A Meta-Analysis

    ERIC Educational Resources Information Center

    Beard, Jennifer Blair

    2011-01-01

    This meta-analysis draws studies from the literature on college student persistence, need theories, and positive psychology in investigating the strongest predictors of social functioning in college students in the United States and Canada. The predictor categories included background characteristics, measures of personality, mental health…

  16. Comparing species distribution models constructed with different subsets of environmental predictors

    USGS Publications Warehouse

    Bucklin, David N.; Basille, Mathieu; Benscoter, Allison M.; Brandt, Laura A.; Mazzotti, Frank J.; Romañach, Stephanie S.; Speroterra, Carolina; Watling, James I.

    2014-01-01

    Our results indicate that additional predictors have relatively minor effects on the accuracy of climate-based species distribution models and minor to moderate effects on spatial predictions. We suggest that implementing species distribution models with only climate predictors may provide an effective and efficient approach for initial assessments of environmental suitability.

  17. Predictors of First-Year Student Retention in the Community College

    ERIC Educational Resources Information Center

    Fike, David S.; Fike, Renea

    2008-01-01

    This study analyzed predictors of fall-to-spring and fall-to-fall retention for 9,200 first-time-in-college students who enrolled in a community college over a four-year period. Findings highlight the impact of developmental education programs and internet-based courses on student persistence. Additional predictors include financial aid, parents'…

  18. Self-Efficacy and Self-Concept as Predictors of College Students' Academic Performance

    ERIC Educational Resources Information Center

    Choi, Namok

    2005-01-01

    Social cognitive theory suggests that self-constructs are better predictors when the specificity levels of self-constructs (as predictors) and the criterion variable closely correspond. In this study it was examined whether self-constructs measured at an intermediate level of specificity better correspond with the criterion variable (course…

  19. Predictors of Academic Achievement for Elementary Teacher Education Students in Turkey

    ERIC Educational Resources Information Center

    Buyukozturk, Sener

    2004-01-01

    Studies examining the important predictors of academic achievement of elementary teacher education students help us to understand the predictors of student achievement. These studies (House, 2000b; Ting & Bryant, 2001; Zheng, Saunders, Shelley, & Whalen, 2002)focus on the relationship between academic achievement and a number of cognitive as well…

  20. Predictors of Student Commitment at Two-Year and Four-Year Institutions

    ERIC Educational Resources Information Center

    Strauss, Linda C.; Volkwein, J. Fredericks

    2004-01-01

    The research presented in this article examines the predictors of institutional commitment of first-year students at 28 two-year and 23 four-year public institutions. Previous research has demonstrated that institutional commitment is a strong predictor of college students' intent to persist, and ultimately student persistence itself (Braxton,…

  1. Predictors of social cognition in patients with schizophrenia.

    PubMed

    Mirabilio, Daniela; Di Tommaso, Silvia; Riccardi, Ilaria; Marinelli, Massimo; Daneluzzo, Enrico; Stratta, Paolo; D'Albenzio, Luigi; Rossi, Alessandro

    2006-12-01

    The goal of this study is to explore neurocognitive, clinical and community functioning variables in order to predict "social reasoning" in a sample of patients with a diagnosis of schizophrenic disorder. Cognitive and community functioning, and social reasoning have been evaluated, together with the Positive and Negative Syndromes Scale (PANSS) and DSM-IV Global Assessment of Functioning (GAF), in a sample of 46 patients who met the DSM-IV criteria for schizophrenia. Our findings show that global functioning as reflected by GAF is the strongest predictor of the social reasoning as evaluated by the Wason's Selection Task (WST). Other community functioning variables such as the Life Skills Profile (LSP) sub-scores do not provide significant prediction of social reasoning. Similarly, neurocognitive measures, in terms of attention and contextual reasoning, have no predictive effect on social reasoning. Our findings show that social cognition should be considered as an additional cognitive domain more related to functional outcome.

  2. Short-term load forecasting with local ANN predictors

    SciTech Connect

    Drezga, I.; Rahman, S.

    1999-08-01

    A new technique for artificial neural network (ANN) based short-term load forecasting (STLF) is present in this paper. The technique implemented active selection of training data, employing the k-nearest neighbors concept. A novel concept of pilot simulation was used to determine the number of hidden units for the ANNs. The ensemble of local ANN predictors was used to produce the final forecast, whereby the iterative forecasting procedure used a simple average of ensemble ANNs. Results obtained using data from two US utilities showed forecasting accuracy comparable to those using similar techniques. Excellent forecasts for one-hour-ahead and five-days-ahead forecasting, robust behavior for sudden and large weather changes, low maximum errors and accurate peak-load predictions are some of the findings discussed in the paper.

  3. A new modified Smith predictor: the concept, design and tuning.

    PubMed

    Vrecko, D; Vrancić, D; Juricić, D; Strmcnik, S

    2001-01-01

    The paper presents a new modified Smith predictor (MSP) for processes with a long time delay. The MSP appears as an extension of the double controller-scheme (DCS) proposed by Tian and Gao. The important feature of the MSP is that the trade-off between disturbance rejection and robustness to variations in process parameters can be adjusted by means of a single free parameter. The main contribution of the paper concerns tuning of the MSP, which relies on a combination of magnitude optimum criterion with process parameterisation based on multiple integrals of the open-loop step response. In a simulation study the performance of the MSP is compared with that of two known controllers for time delay systems, i.e. DCS of Tian and Gao and Hägglund's predictive PI controller. The results show the advantage of the MSP compared to the two other controllers.

  4. Predictors of smoking cessation in a sample of Italian smokers.

    PubMed

    Persico, A M

    1992-06-01

    In this study we identify several pretreatment characteristics which predict abstinence at 6 months. Moreover, the persistence of withdrawal discomfort and of an increased frequency of night awakenings during the first month of abstinence, together with a tendency to "slip" during Weeks II-IV, strongly predicted relapse. Our results suggest that: 1) Predictors of outcome cannot be automatically extended from one cultural context to another; 2) a careful assessment of certain variables, made while the patient is still under treatment, provides significant prognostic hints; 3) ex-smokers' sleeping and dreaming function has been ignored by the literature, whereas they may well be involved into the maintenance of the drug-free state. PMID:1612820

  5. Predictors of rape: findings from the National Survey of Adolescents.

    PubMed

    Elwood, Lisa S; Smith, Daniel W; Resnick, Heidi S; Gudmundsdottir, Berglind; Amstadter, Ananda B; Hanson, Rochelle F; Saunders, Benjamin E; Kilpatrick, Dean G

    2011-04-01

    The current report examines data for 872 female adolescents obtained during the initial and follow-up interviews of the National Survey of Adolescents, a nationally representative sample. Lifetime prevalence of violence exposure reported was 12% and 13% for sexual assault, 19% and 10% for physical assault/punishment, and 33% and 26% for witnessing violence at Waves I and II, respectively. Racial/ethnic status, posttraumatic stress disorder (PTSD), childhood sexual abuse (CSA), and family drug problems emerged as significant predictors of new rape. Each of the PTSD symptom clusters significantly predicted new rape and analyses supported the mediational role of PTSD between CSA and new rape. African American or other racial identity was associated with lower risk.

  6. Making Professional Decisions in Research: Measurement and Key Predictors.

    PubMed

    Antes, Alison L; Chibnall, John T; Baldwin, Kari A; Tait, Raymond C; Vander Wal, Jillon S; DuBois, James M

    2016-01-01

    The professional decision-making in research (PDR) measure was administered to 400 National Institutes of Health (NIH)-funded and industry-funded investigators, along with measures of cynicism, moral disengagement, compliance disengagement, impulsivity, work stressors, knowledge of responsible conduct of research (RCR), and socially desirable response tendencies. Negative associations were found for the PDR and measures of cynicism, moral disengagement, and compliance disengagement, while positive associations were found for the PDR and RCR knowledge and positive urgency, an impulsivity subscale. PDR scores were not related to socially desirable responding, or to measures of work stressors and the remaining impulsivity subscales. In a multivariate logistic regression analysis, lower moral disengagement scores, higher RCR knowledge, and identifying the United States as one's nation of origin emerged as key predictors of stronger performance on the PDR. The implications of these findings for understanding the measurement of decision-making in research and future directions for research and RCR education are discussed.

  7. A predictor-corrector technique for visualizing unsteady flow

    NASA Technical Reports Server (NTRS)

    Banks, David C.; Singer, Bart A.

    1995-01-01

    We present a method for visualizing unsteady flow by displaying its vortices. The vortices are identified by using a vorticity-predictor pressure-corrector scheme that follows vortex cores. The cross-sections of a vortex at each point along the core can be represented by a Fourier series. A vortex can be faithfully reconstructed from the series as a simple quadrilateral mesh, or its reconstruction can be enhanced to indicate helical motion. The mesh can reduce the representation of the flow features by a factor of one thousand or more compared with the volumetric dataset. With this amount of reduction it is possible to implement an interactive system on a graphics workstation to permit a viewer to examine, in three dimensions, the evolution of the vortical structures in a complex, unsteady flow.

  8. Analyzing profiles, predictors, and consequences of student engagement dispositions.

    PubMed

    Lawson, Michael A; Masyn, Katherine E

    2015-02-01

    Drawing from a nationally representative sample of 12,760 students attending public high schools in the United States, this study used latent class analysis (LCA) to analyze profiles, predictors, and consequences of student engagement dispositions. A student engagement disposition is an umbrella concept. It encompasses students' identification with school together with their academic competencies and overall educational aspirations. Six subpopulation profiles of engagement dispositions were culled from the data using LCA. These profiles included students who possessed "model student" attributes as well as others whose school experiences reflected ambivalence and disidentification. Where practice and policy are concerned, findings regarding the characteristics and consequences of each profile can be used by researchers, practitioners, and policy makers to facilitate tailored intervention planning as well as more nuanced policy development.

  9. Cholesteatoma in children, predictors and calculation of recurrence rates.

    PubMed

    Stangerup, S E; Drozdziewicz, D; Tos, M

    1999-10-01

    The aim of the study was to evaluate the long-term recurrence rate after surgery for acquired cholesteatoma in children, to search for predictors of recurrency and to analyse the impact of the applied statistical method on the outcome of the results. During a 15-year period, 114 children underwent first-time surgery for acquired cholesteatoma. The patients were re-evaluated with a median observation time of 5.8 years, range 1-16 years. Recurrence of cholesteatoma developed in 27 ears. The cumulated total recurrence rate was 24% using standard incidence rate calculation, applying Kaplan-Meier survival analysis the recurrence rate was 33%. Recurrent disease occurred significantly more frequent in children < 8 years, with negative preoperative Valsalva, ossicular resorption and with large cholesteatomas. In conclusion, young children with poor Eustachian tube function, large cholesteatoma and erosion of the ossicular chain, are at special risk of recurrence and should be observed several years after surgery. PMID:10577779

  10. Psychosocial predictors of drive for muscularity in male collegiate athletes.

    PubMed

    Galli, Nick; Petrie, Trent; Reel, Justine J; Greenleaf, Christy; Carter, Jennifer E

    2015-06-01

    The purpose of this study was to examine the simultaneous relation of general and sport-specific pressures about body weight and shape, negative affect, and body satisfaction to drive for muscularity (DM) in male collegiate athletes. Participants were 183 male athletes who were drawn from three NCAA Division I institutions and represented 17 different sports. As hypothesized, after controlling for BMI and sport type, sport-specific pressures, negative affect, and body satisfaction were significant predictors, and accounted for 15-34% of the variance in muscularity-oriented body image and muscularity behaviors; general pressures however were not significantly related. These findings offer insight into the personal and social antecedents of DM in male athletes, and serve as a starting point for future research on DM in this population.

  11. ANTECEDENT VERSUS CONSEQUENT EVENTS AS PREDICTORS OF PROBLEM BEHAVIOR

    PubMed Central

    Camp, Erin M; Iwata, Brian A; Hammond, Jennifer L; Bloom, Sarah E

    2009-01-01

    Comparisons of results from descriptive and functional analyses of problem behavior generally have shown poor correspondence. Most descriptive analyses have focused on relations between consequent events and behavior, and it has been noted that attention is a common consequence for problem behavior even though it may not be a functional reinforcer. Because attention may be prescribed simply as a means of stopping serious problem behavior, it is possible that naturally occurring antecedent events (establishing operations) might be better predictors of problem behavior than consequences. We conducted descriptive and functional analyses of the problem behaviors of 7 participants. Conditional probabilities based on combined antecedent and consequent events showed correspondence with the functional analysis data for 4 of the 7 participants, but antecedent events were no better than consequent events in identifying the function of problem behavior. PMID:19949538

  12. Predictors of increased body mass index in Chinese children.

    PubMed

    Chen, Jyu-Lin; Wall, Denise; Kennedy, Christine; Unnithan, Viswanath; Yeh, Chao-Hsing

    2007-01-01

    A longitudinal study design was used to examine factors related to change of body mass index (BMI) over a 1-year period in 307 Chinese children, aged 7 and 8 years, in Taiwan. Standardized instruments were used to measure the children's food intake, physical activity/inactivity, and physical fitness, as well as maternal BMI. Results suggested that a high baseline BMI, poor aerobic capacity, and a high maternal BMI were significantly correlated with increased BMI at 12 months' follow-up. A higher baseline BMI, an overweight mother, increased television viewing and computer time, and poorer aerobic capacity were identified as predictors for weight gain in children (F=207.67; P<.001; adjusted R(2)=0.752). These findings suggest that health care providers need to include the family in children's health care visits and incorporate an assessment of maternal weight status and children's BMI status, activity levels, and aerobic capacity into patient care and education.

  13. Predictors of adherence to antihypertensive medication in northern United Arab Emirates.

    PubMed

    Bader, R J K; Koprulu, F; Hassan, N A G M; Ali, A A A; Elnour, A A

    2015-08-27

    This study aimed to assess the predictors of non-adherence to antihypertensive medications in northern United Arab Emirates. In a cross-sectional, multicentre study in Ajman Emirate, 250 patients with hypertension were randomly selected from outpatient clinics. Participants answered an interview questionnaire about sociodemographic and clinical data and completed the Morisky medication adherence scale. Non-adherence to antihypertensive medication was reported by 45.6% of patients. Sociodemographic predictors of non-adherence were sex and number of children. Therapy-related predictors of adherence were hospital admissions, number and cost of medications, medication perceived effectiveness and use of traditional remedies. Patient-related predictors of non-adherence were forgetfulness, method of identifying medication and poor awareness of hypertension complications. Health-care-related predictors were regular follow up at clinics, education and counselling, frequency of changing medication by physicians and awareness of physicians' instructions.

  14. Predictors of functional status in patients with early rheumatoid arthritis

    PubMed Central

    Jansen, L; van Schaardenburg, D; van der Horst-Bru..., I E; Bezemer, P; Dijkmans, B

    2000-01-01

    OBJECTIVE—To find disease parameters that can predict the functional capacity of patients with early rheumatoid arthritis (RA) at the first visit to the rheumatologist and one year after entry.
METHODS—Patients referred to the outpatients clinic between 1995 and 1996, with a symptom duration of less than three years and fulfilling the American Rheumatism Association 1987 revised criteria for RA within one year after entry were included. Assessments of the duration of morning stiffness, the Disease Activity Score (DAS: a composite score based on erythrocyte sedimentation rate (ESR), number of painful and swollen joints and patient global assessment), pain (Visual Analogue Scale), the Arthritis Impact Measurement Scale (AIMS) and the Health Assessment Questionnaire (HAQ) were performed every three months. Possible predictors of the HAQ at entry and after one year were analysed by logistic regression.
RESULTS—133 patients were included in the study. The median duration of complaints was three months (range 0-35) and the median HAQ score at entry was 1.12 (range 0-3). There was no correlation between duration of complaints and the HAQ at entry (r = 0.01). An HAQ score under the 50th percentile at entry could be predicted correctly for 74% of the patients by entry DAS and C reactive protein concentration, and at one year could be predicted correctly for 73% of the patients by entry HAQ and pain score.
CONCLUSION—Disease activity is strongly correlated with a lower functional capacity at entry, whereas disease duration is not. The functional status at entry is a good predictor for functional status at one year. Severity rather than duration of arthritis prompts referral in this cohort.

 PMID:10700432

  15. Predictors of sociocultural adjustment among sojourning Malaysian students in Britain.

    PubMed

    Swami, Viren

    2009-08-01

    The process of cross-cultural migration may be particularly difficult for students travelling overseas for further or higher education, especially where qualitative differences exist between the home and host nations. The present study examined the sociocultural adjustment of sojourning Malaysian students in Britain. Eighty-one Malay and 110 Chinese students enrolled in various courses answered a self-report questionnaire that examined various aspects of sociocultural adjustment. A series of one-way analyses of variance showed that Malay participants experienced poorer sociocultural adjustment in comparison with their Chinese counterparts. They were also less likely than Chinese students to have contact with co-nationals and host nationals, more likely to perceive their actual experience in Britain as worse than they had expected, and more likely to perceive greater cultural distance and greater discrimination. The results of regression analyses showed that, for Malay participants, perceived discrimination accounted for the greatest proportion of variance in sociocultural adjustment (73%), followed by English language proficiency (10%) and contact with host nationals (4%). For Chinese participants, English language proficiency was the strongest predictor of sociocultural adjustment (54%), followed by expectations of life in Britain (18%) and contact with host nationals (3%). By contrast, participants' sex, age, and length of residence failed to emerge as significant predictors for either ethnic group. Possible explanations for this pattern of findings are discussed, including the effects of Islamophobia on Malay-Muslims in Britain, possible socioeconomic differences between Malay and Chinese students, and personality differences between the two ethnic groups. The results are further discussed in relation to practical steps that can be taken to improve the sociocultural adjustment of sojourning students in Britain. PMID:22029555

  16. Advanced Electrocardiographic Predictors of Sudden Death in Familial Dysautonomia

    NASA Technical Reports Server (NTRS)

    Solaimanzadeh, I.; Schlegel, T. T.; Greco, E. C.; DePalma, J. L.; Starc, V.; Marthol, H.; Tutaj, M.; Buechner, S.; Axelrod, F. B.; Hilz, M. J.

    2007-01-01

    To identify accurate predictors for the risk of sudden death in patients with familial dysautonomia (FD). Ten-minute resting high-fidelity 12-lead ECGs were obtained from 14 FD patients and 14 age/gender-matched healthy subjects. Multiple conventional and advanced ECG parameters were studied for their ability to predict sudden death in FD over a subsequent 4.5-year period, including multiple indices of linear and non-linear heart rate variability (HRV); QT variability; waveform complexity; high frequency QRS; and derived Frank-lead parameters. Four of the 14 FD patients died suddenly during the follow-up period, usually with concomitant pulmonary disorder. The presence of low vagally-mediated HRV was the ECG finding most predictive of sudden death. Concomitant left ventricular hypertrophy and other ECG abnormalities such as increased QTc and JTc intervals, spatial QRS-T angles, T-wave complexity, and QT variability were also present in FD patients, suggesting that structural heart disease is fairly common in FD. Although excessive or unopposed cardiac vagal (relative to sympathetic) activity has been postulated as a contributor to sudden death in FD, the presence of low vagally-mediated HRV was paradoxically the best predictor of sudden death. However, we suggest that low vagally-mediated HRV be construed not as a direct cause of sudden death in FD, but rather as an effect of concurrent pathological processes, especially hypoxia due to pulmonary disorders and sleep apnea, that themselves increase the risk of sudden death in FD and simultaneously diminish HRV. We speculate that adenosine may play a role in sudden death in FD, possibly independently of vagal activity, and that adenosine inhibitors such as theophylline might therefore be useful as prophylaxis in this disorder.

  17. Smokeless tobacco use in Urban Indian women: Prevalence and predictors

    PubMed Central

    Mishra, Gauravi A.; Kulkarni, Sheetal V.; Gupta, Subhadra D.; Shastri, Surendra S.

    2015-01-01

    Context: India is the second largest consumer of tobacco. Tobacco consumption in nonsmoking forms is culturally accepted even among women. Aims: This study aimed at understanding the patterns and predictors of smokeless tobacco (SLT) use among the urban low-socioeconomic women in Mumbai, India. Materials and Methods: This is a cross-sectional community-based survey of tobacco usage among women residing in seven low-socioeconomic communities in suburbs of Mumbai, India. Staff for the study was recruited, trained, clusters selected, accurately mapped, households identified, meetings held with community leaders, and household surveys conducted. Women using tobacco were invited to participate in the detailed survey and interviewed to document the various sociodemographic factors and in depth information on tobacco use. The data were computerized and analyzed. Results: About 22.30% of the total female population consumed tobacco, mainly in the smokeless forms, with only 0.50% of the tobacco users using smoked tobacco. Masheri was the most common form of tobacco used, followed by chewing tobacco. The median frequency of use of different tobacco products varied from 2 to 4 per day. The mean age at initiation of tobacco was 26.23 years. According to the results of univariate and multivariate logistic regression analysis, illiterate women, with advancing age, belonging to Hindu, Muslim, or Buddhist communities, who were either manual laborers or housewives, divorced or separated, and speaking Marathi were at higher risk of being tobacco user. Conclusion: Patterns and predictors of SLT use among women have been identified in the present study. This will guide in planning prevention and control strategies. PMID:26681842

  18. Predictors of Heavy Stethoscope Contamination Following a Physical Examination.

    PubMed

    Tschopp, Clément; Schneider, Alexis; Longtin, Yves; Renzi, Gesuele; Schrenzel, Jacques; Pittet, Didier

    2016-06-01

    BACKGROUND The degree of bacterial contamination of stethoscopes can vary significantly following a physical examination. OBJECTIVE To conduct a prospective study to investigate the impact of various environmental and patient characteristics on stethoscope contamination. METHODS Following a standardized examination, the levels of bacterial contamination of 4 regions of the physicians' hands and 2 sections of the stethoscopes, and the presence of different pathogenic bacteria, were assessed. Predictors of heavy stethoscope contamination were identified through multivariate logistic regression. RESULTS In total, 392 surfaces were sampled following examination of 56 patients. The microorganisms most frequently recovered from hands and stethoscopes were Enterococcus spp. (29% and 20%, respectively) and Enterobacteriaceae (16% and 7%, respectively). Staphylococcus aureus (either methicillin susceptible or resistant), extended-spectrum β-lactamase-producing Enterobacteriaceae, and Acinetobacter baumannii were recovered from 4%-9% of the samples from either hands or stethoscopes. There was a correlation between the likelihood of recovering these pathogens from the stethoscopes vs from the physicians' hands (ρ=0.79; P=.04). The level of patient's skin contamination was an independent predictor of contamination of the stethoscope diaphragm (adjusted odds ratio [aOR], 1.001; P=.007) and tube (aOR, 1.001; P=.003). Male sex (aOR, 28.24; P=.01) and reception of a bed bath (aOR, 7.52; P=.048) were also independently associated with heavy tube contamination. CONCLUSIONS Stethoscope contamination following a single physical examination is not negligible and is associated with the level of contamination of the patient's skin. Prevention of pathogen dissemination is needed. Infect Control Hosp Epidemiol 2016;37:673-679.

  19. Dissolved organic carbon and its potential predictors in eutrophic lakes.

    PubMed

    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. PMID:27318445

  20. Environmental Predictors of Ice Seal Presence in the Bering Sea

    PubMed Central

    Miksis-Olds, Jennifer L.

    2014-01-01

    Ice seals overwintering in the Bering Sea are challenged with foraging, finding mates, and maintaining breathing holes in a dark and ice covered environment. Due to the difficulty of studying these species in their natural environment, very little is known about how the seals navigate under ice. Here we identify specific environmental parameters, including components of the ambient background sound, that are predictive of ice seal presence in the Bering Sea. Multi-year mooring deployments provided synoptic time series of acoustic and oceanographic parameters from which environmental parameters predictive of species presence were identified through a series of mixed models. Ice cover and 10 kHz sound level were significant predictors of seal presence, with 40 kHz sound and prey presence (combined with ice cover) as potential predictors as well. Ice seal presence showed a strong positive correlation with ice cover and a negative association with 10 kHz environmental sound. On average, there was a 20–30 dB difference between sound levels during solid ice conditions compared to open water or melting conditions, providing a salient acoustic gradient between open water and solid ice conditions by which ice seals could orient. By constantly assessing the acoustic environment associated with the seasonal ice movement in the Bering Sea, it is possible that ice seals could utilize aspects of the soundscape to gauge their safe distance to open water or the ice edge by orienting in the direction of higher sound levels indicative of open water, especially in the frequency range above 1 kHz. In rapidly changing Arctic and sub-Arctic environments, the seasonal ice conditions and soundscapes are likely to change which may impact the ability of animals using ice presence and cues to successfully function during the winter breeding season. PMID:25229453

  1. Predictors of Heavy Stethoscope Contamination Following a Physical Examination.

    PubMed

    Tschopp, Clément; Schneider, Alexis; Longtin, Yves; Renzi, Gesuele; Schrenzel, Jacques; Pittet, Didier

    2016-06-01

    BACKGROUND The degree of bacterial contamination of stethoscopes can vary significantly following a physical examination. OBJECTIVE To conduct a prospective study to investigate the impact of various environmental and patient characteristics on stethoscope contamination. METHODS Following a standardized examination, the levels of bacterial contamination of 4 regions of the physicians' hands and 2 sections of the stethoscopes, and the presence of different pathogenic bacteria, were assessed. Predictors of heavy stethoscope contamination were identified through multivariate logistic regression. RESULTS In total, 392 surfaces were sampled following examination of 56 patients. The microorganisms most frequently recovered from hands and stethoscopes were Enterococcus spp. (29% and 20%, respectively) and Enterobacteriaceae (16% and 7%, respectively). Staphylococcus aureus (either methicillin susceptible or resistant), extended-spectrum β-lactamase-producing Enterobacteriaceae, and Acinetobacter baumannii were recovered from 4%-9% of the samples from either hands or stethoscopes. There was a correlation between the likelihood of recovering these pathogens from the stethoscopes vs from the physicians' hands (ρ=0.79; P=.04). The level of patient's skin contamination was an independent predictor of contamination of the stethoscope diaphragm (adjusted odds ratio [aOR], 1.001; P=.007) and tube (aOR, 1.001; P=.003). Male sex (aOR, 28.24; P=.01) and reception of a bed bath (aOR, 7.52; P=.048) were also independently associated with heavy tube contamination. CONCLUSIONS Stethoscope contamination following a single physical examination is not negligible and is associated with the level of contamination of the patient's skin. Prevention of pathogen dissemination is needed. Infect Control Hosp Epidemiol 2016;37:673-679. PMID:27198604

  2. Overjet as a predictor of sagittal skeletal relationships.

    PubMed

    Zupancic, S; Pohar, M; Farcnik, F; Ovsenik, Maja

    2008-06-01

    Skeletal relationships in the sagittal plane do not always correspond with dental relationships. The aim of this study was to determine in which type of malocclusion the correlation between overjet and skeletal sagittal parameters assessed by lateral cephalogram analysis is the highest. The extent to which overjet can predict skeletal relationships in the sagittal plane was also assessed. Eighty-three subjects fulfilled the inclusion criteria (40 males and 43 females, mean age 16.3 +/- 4.3 years). Overjet was measured on study casts and sagittal skeletal relationships were analysed on lateral cephalograms. ANB angle, Wits appraisal, and convexity at point A were determined. Mean values and standard deviations of measured parameters were calculated for Class I, Class II division 1, and Class III malocclusion subjects. Correlation between overjet measured on study casts and sagittal skeletal parameters measured on lateral cephalogram was calculated. Overjet as a predictor of skeletal relationships was assessed by means of linear regression analysis. A statistically significant positive correlation (P < 0.01) was found between the values of overjet and ANB (r = 0.690), overjet and Wits appraisal (r = 0.750), and overjet and convexity at point A (r = 0.608) when assessing the whole sample. When linear regression between overjet and cephalometric parameters was assessed separately in Class I, Class II division 1, and Class III malocclusion subjects, the percentage of variability was statistically significant in just four pairs. The findings show that overjet is a good predictor of sagittal relationship only in subjects with a Class II division 1 malocclusion.

  3. Dissolved organic carbon and its potential predictors in eutrophic lakes.

    PubMed

    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.

  4. Predictors of Pain among Head and Neck Cancer Patients

    PubMed Central

    Shuman, Andrew G.; Terrell, Jeffrey E.; Light, Emily; Wolf, Gregory T.; Bradford, Carol R.; Chepeha, Douglas; Jiang, Yunyun; McLean, Scott; Ghanem, Tamer A.; Duffy, Sonia A.

    2014-01-01

    Objective Pain is a strong contributor to cancer patients’ quality of life. The objective of this study was to determine predictors of pain 1 year after the diagnosis of head and neck cancer. Design Prospective, multi-site cohort study. Setting Three academically-affiliated medical centers. Patients Previously untreated patients with carcinoma of the upper aerodigestive tract (n=374). Main Outcome Measures Participants were surveyed pre-treatment and 1 year thereafter. Multivariate analyses were conducted to determine predictors of the SF-36 bodily pain score 1 year after diagnosis. Results The mean SF-36 bodily pain score at 1 year was 65, compared to 61 at diagnosis (p=.004), compared to 75 among population norms (lower scores indicate worse pain). Variables independently associated with pain included pre-treatment pain score (p<0.001), less education (p=0.02), neck dissection (p=0.001), feeding tube (p=0.05), xerostomia (p<0.001), depressive symptoms (p<0.001), taking more pain medication (p<0.001), less physical activity (p=.02), and poor sleep quality (p=0.006). Current smoking and problem drinking were marginally significant (p=0.07 and 0.08, respectively). Conclusions Aggressive pain management may be indicated for head and neck cancer patients who undergo neck dissections, complain of xerostomia, require feeding tubes, and have medical comorbidities. Treatment of modifiable risk factors such as depression, poor sleep quality, tobacco and alcohol abuse may also reduce pain and improve quality of life among head and neck cancer patients. PMID:23165353

  5. Predictors of Utilization of a Novel Smoking Cessation Smartphone App

    PubMed Central

    Zeng, Emily Y.; Vilardaga, Roger; Heffner, Jaimee L.; Mull, Kristin E.

    2015-01-01

    Abstract Background: Understanding the characteristics of high and low utilizers of smartphone applications (apps) for smoking cessation would inform development of more engaging and effective apps, yet no studies to date have addressed this critical question. Informed by prior research on predictors of cessation Web site utilization, this study examines the degree to which baseline demographic factors (gender, age, and education), smoking-related factors (smoking level and friends' smoking), and psychological factors (depression and anxiety) are predictive of utilization of a smartphone app for smoking cessation called SmartQuit. Materials and Methods: Data came from 98 participants randomized to SmartQuit as part of a pilot trial from March to May 2013. We used negative binomial count regressions to examine the relationship between user characteristics and utilization of the app over an 8-week treatment period. Results: Lower education (risk ratio [RR]=0.492; p=0.021), heavier smoking (RR=0.613; p=0.033), and depression (RR=0.958; p=0.017) prospectively predicted lower app utilization. Women (RR=0.320; p=0.022), those with lower education (RR=0.491; p=0.013), and heavier smokers (RR=0.418; p=0.039) had lower utilization of app features known to predict smoking cessation. Conclusions: Many of the predictors of utilization of smoking cessation apps are the same as those of cessation Web sites. App-delivered smoking cessation treatment effectiveness could be enhanced by focusing on increasing engagement of women, those with lower education, heavy smokers, and those with current depressive symptoms. PMID:26171733

  6. Environmental predictors of ice seal presence in the Bering Sea.

    PubMed

    Miksis-Olds, Jennifer L; Madden, Laura E

    2014-01-01

    Ice seals overwintering in the Bering Sea are challenged with foraging, finding mates, and maintaining breathing holes in a dark and ice covered environment. Due to the difficulty of studying these species in their natural environment, very little is known about how the seals navigate under ice. Here we identify specific environmental parameters, including components of the ambient background sound, that are predictive of ice seal presence in the Bering Sea. Multi-year mooring deployments provided synoptic time series of acoustic and oceanographic parameters from which environmental parameters predictive of species presence were identified through a series of mixed models. Ice cover and 10 kHz sound level were significant predictors of seal presence, with 40 kHz sound and prey presence (combined with ice cover) as potential predictors as well. Ice seal presence showed a strong positive correlation with ice cover and a negative association with 10 kHz environmental sound. On average, there was a 20-30 dB difference between sound levels during solid ice conditions compared to open water or melting conditions, providing a salient acoustic gradient between open water and solid ice conditions by which ice seals could orient. By constantly assessing the acoustic environment associated with the seasonal ice movement in the Bering Sea, it is possible that ice seals could utilize aspects of the soundscape to gauge their safe distance to open water or the ice edge by orienting in the direction of higher sound levels indicative of open water, especially in the frequency range above 1 kHz. In rapidly changing Arctic and sub-Arctic environments, the seasonal ice conditions and soundscapes are likely to change which may impact the ability of animals using ice presence and cues to successfully function during the winter breeding season.

  7. Antecedent Predictors of Children's Initiation of Sipping/Tasting Alcohol

    PubMed Central

    Donovan, John E; Molina, Brooke S G

    2014-01-01

    Background Sipping or tasting alcohol is one of the earliest alcohol-use behaviors in which young children engage, yet there is relatively little research on this behavior. Previous cross-sectional analyses determined that child sipping or tasting is associated with the child's attitude toward sipping and with a family environment supportive of alcohol use, but not with variables reflecting psychosocial proneness for problem behavior as formulated in Problem Behavior Theory (Jessor and Jessor, Problem Behavior and Psychosocial Development: A Longitudinal Study of Youth, 1977, Academic Press, New York). This study extended these analyses longitudinally to identify antecedent predictors of the childhood initiation of sipping or tasting alcohol in a multiwave study. Methods A sample of 452 children (238 girls) aged 8 or 10 and their families was drawn from Allegheny County, PA, using targeted-age directory sampling and random digit dialing procedures. Children were interviewed using computer-assisted interviews. Antecedent variables collected at baseline (Wave 1) were examined as predictors of the initiation of sipping/tasting alcohol in childhood (before age 12) among Wave 1 abstainers (n = 286). Results Ninety-four children initiated sipping/tasting alcohol in a nonreligious context between baseline and turning age 12. Initiation of sipping/tasting did not generally relate to baseline variables reflecting psychosocial proneness for problem behavior. Instead, as found in the previous cross-sectional analyses, the variables most predictive of initiating sipping/tasting were perceived parents' approval for child sipping, parents' reported approval for child sipping, parents' current drinking status, and children's attitudes toward sipping/tasting alcohol. Conclusions These longitudinal analyses replicate the earlier cross-sectional results. Young children's sipping/tasting of alcohol reflects parental modeling of drinking and parental approval of child sipping and

  8. Random generalized linear model: a highly accurate and interpretable ensemble predictor

    PubMed Central

    2013-01-01

    Background Ensemble predictors such as the random forest are known to have superior accuracy but their black-box predictions are difficult to interpret. In contrast, a generalized linear model (GLM) is very interpretable especially when forward feature selection is used to construct the model. However, forward feature selection tends to overfit the data and leads to low predictive accuracy. Therefore, it remains an important research goal to combine the advantages of ensemble predictors (high accuracy) with the advantages of forward regression modeling (interpretability). To address this goal several articles have explored GLM based ensemble predictors. Since limited evaluations suggested that these ensemble predictors were less accurate than alternative predictors, they have found little attention in the literature. Results Comprehensive evaluations involving hundreds of genomic data sets, the UCI machine learning benchmark data, and simulations are used to give GLM based ensemble predictors a new and careful look. A novel bootstrap aggregated (bagged) GLM predictor that incorporates several elements of randomness and instability (random subspace method, optional interaction terms, forward variable selection) often outperforms a host of alternative prediction methods including random forests and penalized regression models (ridge regression, elastic net, lasso). This random generalized linear model (RGLM) predictor provides variable importance measures that can be used to define a “thinned” ensemble predictor (involving few features) that retains excellent predictive accuracy. Conclusion RGLM is a state of the art predictor that shares the advantages of a random forest (excellent predictive accuracy, feature importance measures, out-of-bag estimates of accuracy) with those of a forward selected generalized linear model (interpretability). These methods are implemented in the freely available R software package randomGLM. PMID:23323760

  9. Regular smokeless tobacco use is not a reliable predictor of smoking onset when psychosocial predictors are included in the model.

    PubMed

    O'Connor, Richard J; Flaherty, Brian P; Quinio Edwards, Beth; Kozlowski, Lynn T

    2003-08-01

    Tomar analyzed the CDC's Teenage Attitudes and Practices Survey (TAPS) and reported smokeless tobacco may act as a starter product for or gateway to cigarettes. Regular smokeless tobacco users at baseline were said to be 3.45 times more likely than never users of smokeless tobacco to become cigarette smokers after 4 years (95% CI=1.84-6.47). However, this analysis did not take into account well-known psychosocial predictors of smoking initiation. We reanalyzed TAPS to assess whether including psychosocial predictors of smoking affected the smokeless tobacco gateway effect. Experimenting with smoking, OR=2.09 (95% CI=1.51-2.90); below average school performance, OR=9.32 (95% CI=4.18-20.77); household members smoking, OR=1.49 (95% CI=1.13-1.95); frequent depressive symptoms, OR=2.19 (95% CI=1.25-3.84); fighting, OR=1.48 (95% CI=1.08-2.03); and motorcycle riding, OR=1.42 (95% CI=1.06-1.91) diminished the effect of both regular, OR=1.68 (95% CI=.83-3.41), and never regular smokeless tobacco use, OR=1.41 (95% CI=.96-2.05), to be statistically unreliable. Analyzing results from a sample of true never smokers (never a single puff) showed a similar pattern of results. Our results indicate that complex multivariate models are needed to evaluate recruitment to smoking and single factors that are important in that process. Tomar's analysis should not be used as reliable evidence that smokeless tobacco may be a starter product for cigarettes.

  10. Improving flood wave predictors by meta-learning

    NASA Astrophysics Data System (ADS)

    Neruda, M.; Neruda, R.; Srejber, J.

    2012-04-01

    Improving flood wave predictors by meta-learning Roman Neruda, Jan Srejber, Martin Neruda Institute of Computer Science, Academy of Sciences of the Czech Republic, Prague, CZ Czech Hydrometeorological Institute, Usti nad Labem, CZ Faculty of Environment, University of J. E. Purkyne, Usti nad Labem, CZ The main goal of this work is to improve real time flood warning system operated by the Czech Hydrometeorological Institute (CHMI) in a very sensitive part of Northern Bohemia, the Smeda River basin. This area has been subject to several flash floods during last decade, and thus it is important to model and predict the dynamics of the flood wave. Following the operational reality we reformulated the traditional time series prediction problem as either a runoff regression problem, or a classification of water level values into predefined decisive water level thresholds. Moreover, in contrast to our previous work [1,2], the modelled system utilizes data from three subsequent runoff gauges, namely Bily Potok, Frydlant and Visnova. The distance between them is 15 km and 12 km, respectively. The watershed area is 180 km2. Together with flood wave time series we utilized relevant precipitation totals from Hejnice rain gauge. While it is difficult to forecast the time of occurrence and the extent of floods, it is possible to predict fairly accurately the movement of the flood wave along a river [3]. Several methods are available for the flood wave propagation forecasting in general. Two simple hydrometric methods based on the extrapolation of the discharge difference and discharge-travel time are in use in CHMI. On a similar base, the neural model is created whose inputs are historical runoff values in the first two gauges, and an output is a classification of predicted water level (or runoff prediction) in the third gauge. Number of previous runoff values depends on the shape of a flood wave. It has been shown that during the training phase of neural models that setting of

  11. Hyperhomocysteinemia as an Early Predictor of Erectile Dysfunction

    PubMed Central

    Giovannone, Riccardo; Busetto, Gian Maria; Antonini, Gabriele; De Cobelli, Ottavio; Ferro, Matteo; Tricarico, Stefano; Del Giudice, Francesco; Ragonesi, Giulia; Conti, Simon L.; Lucarelli, Giuseppe; Gentile, Vincenzo; De Berardinis, Ettore

    2015-01-01

    Abstract Erectile dysfunction (ED) is inability to achieve and maintain an erection to permit satisfactory sexual activity. Homocysteine (Hcys) is a sulfur-containing amino acid synthesized from the essential amino acid methionine. Experimental models have elucidated the role of hyperhomocysteinemia (HHcys) as a strong and independent predictor for atherosclerosis progression and impaired cavernosal perfusion. The aim of this study is to investigate the serum levels of Hcys in our cohort of patients with ED, to compare these values with these of control population and to examine Hcys as a predictive marker for those patients who are beginning to complain mild–moderate ED. A total of 431 patients were enrolled in the study. The whole cohort was asked to complete the International Index of Erectile Function (IIEF) questionnaire. The study population was divided in 3 main groups: Group A: 145 patients with no ED serving as a control group; Group B: 145 patients with mild or mild–moderate ED; Group C: 141 patients with moderate or severe ED. Each participant underwent blood analysis. All patients underwent baseline and dynamic penile Doppler ultrasonography. We found in our cohort mean Hcys plasma concentrations significantly higher than the cut-off point in both groups B and C (18.6 ± 4.7 and 28.38 ± 7.8, respectively). Mean IIEF score was 27.9 ± 1.39, 19.5 ± 2.6, and 11.1 ± 2.5 for groups A, B, and C, respectively (P < 0.0001). In the penile Doppler ultrasonography studies, a high significant inverse correlation was detected between the mean values of the 10th minute's peak-systolic velocity (PSV) and Hcys levels for the groups B and C. This establishes a dose-dependent association between Hcys and ED. Furthermore, we showed that Hcys was an earlier predictor of ED than Doppler studies, as the Hcys increase was present in patients with mild ED even before abnormal Doppler values. PMID:26426624

  12. Predictors of Blood Trihalomethane Concentrations in NHANES 1999–2006

    PubMed Central

    Dhingra, Radhika; Blount, Benjamin C.; Steenland, Kyle

    2014-01-01

    Background: Trihalomethanes (THMs) are water disinfection by-products that have been associated with bladder cancer and adverse birth outcomes. Four THMs (bromoform, chloroform, bromodichloromethane, dibromochloromethane) were measured in blood and tap water of U.S. adults in the National Health and Nutrition Examination Survey (NHANES) 1999–2006. THMs are metabolized to potentially toxic/mutagenic intermediates by cytochrome p450 (CYP) 2D6 and CYP2E1 enzymes. Objectives: We conducted exploratory analyses of blood THMs, including factors affecting CYP2D6 and CYP2E1 activity. Methods: We used weighted multivariable regressions to evaluate associations between blood THMs and water concentrations, survey year, and other factors potentially affecting THM exposure or metabolism (e.g., prescription medications, cruciferous vegetables, diabetes, fasting, pregnancy, swimming). Results: From 1999 to 2006, geometric mean blood and water THM levels dropped in parallel, with decreases of 32%–76% in blood and 38%–52% in water, likely resulting, in part, from the lowering of the total THM drinking water standard in 2002–2004. The strongest predictors of blood THM levels were survey year and water concentration (n = 4,232 total THM; n = 4,080 bromoform; n = 4,582 chloroform; n = 4,374 bromodichloromethane; n = 4,464 dibromochloromethane). We detected statistically significant inverse associations with diabetes and eating cruciferous vegetables in all but the bromoform model. Medications did not consistently predict blood levels. Afternoon/evening blood samples had lower THM concentrations than morning samples. In a subsample (n = 230), air chloroform better predicted blood chloroform than water chloroform, suggesting showering/bathing was a more important source than drinking. Conclusions: We identified several factors associated with blood THMs that may affect their metabolism. The potential health implications require further study. Citation: Riederer AM, Dhingra R

  13. Identifying predictors of physics item difficulty: A linear regression approach

    NASA Astrophysics Data System (ADS)

    Mesic, Vanes; Muratovic, Hasnija

    2011-06-01

    Large-scale assessments of student achievement in physics are often approached with an intention to discriminate students based on the attained level of their physics competencies. Therefore, for purposes of test design, it is important that items display an acceptable discriminatory behavior. To that end, it is recommended to avoid extraordinary difficult and very easy items. Knowing the factors that influence physics item difficulty makes it possible to model the item difficulty even before the first pilot study is conducted. Thus, by identifying predictors of physics item difficulty, we can improve the test-design process. Furthermore, we get additional qualitative feedback regarding the basic aspects of student cognitive achievement in physics that are directly responsible for the obtained, quantitative test results. In this study, we conducted a secondary analysis of data that came from two large-scale assessments of student physics achievement at the end of compulsory education in Bosnia and Herzegovina. Foremost, we explored the concept of “physics competence” and performed a content analysis of 123 physics items that were included within the above-mentioned assessments. Thereafter, an item database was created. Items were described by variables which reflect some basic cognitive aspects of physics competence. For each of the assessments, Rasch item difficulties were calculated in separate analyses. In order to make the item difficulties from different assessments comparable, a virtual test equating procedure had to be implemented. Finally, a regression model of physics item difficulty was created. It has been shown that 61.2% of item difficulty variance can be explained by factors which reflect the automaticity, complexity, and modality of the knowledge structure that is relevant for generating the most probable correct solution, as well as by the divergence of required thinking and interference effects between intuitive and formal physics knowledge

  14. Clinical predictors of lacunar syndrome not due to lacunar infarction

    PubMed Central

    2010-01-01

    Background Lacunar syndrome not due to lacunar infarct is poorly characterised. This single centre, retrospective study was conducted to describe the clinical characteristics of patients with lacunar syndrome not due to lacunar infarct and to identify clinical predictors of this variant of lacunar stroke. Methods A total of 146 patients with lacunar syndrome not due to lacunar infarction were included in the "Sagrat Cor Hospital of Barcelona Stroke Registry" during a period of 19 years (1986-2004). Data from stroke patients are entered in the stroke registry following a standardized protocol with 161 items regarding demographics, risk factors, clinical features, laboratory and neuroimaging data, complications and outcome. The characteristics of these 146 patients with lacunar syndrome not due to lacunar infarct were compared with those of the 733 patients with lacunar infarction. Results Lacunar syndrome not due to lacunar infarct accounted for 16.6% (146/879) of all cases of lacunar stroke. Subtypes of lacunar syndromes included pure motor stroke in 63 patients, sensorimotor stroke in 51, pure sensory stroke in 14, atypical lacunar syndrome in 9, ataxic hemiparesis in 5 and dysarthria-clumsy hand in 4. Valvular heart disease, atrial fibrillation, sudden onset, limb weakness and sensory symptoms were significantly more frequent among patients with lacunar syndrome not due to lacunar infarct than in those with lacunar infarction, whereas diabetes was less frequent. In the multivariate analysis, atrial fibrillation (OR = 4.62), sensorimotor stroke (OR = 4.05), limb weakness (OR = 2.09), sudden onset (OR = 2.06) and age (OR = 0.96) were independent predictors of lacunar syndrome not due to lacunar infarct. Conclusions Although lacunar syndromes are highly suggestive of small deep cerebral infarctions, lacunar syndromes not due to lacunar infarcts are found in 16.6% of cases. The presence of sensorimotor stroke, limb weakness and sudden onset in a patient with atrial

  15. Predictors of HIV enacted stigma among Chilean women

    PubMed Central

    Cianelli, Rosina; Villlegas, Natalia; De Oliveira, Giovanna; Hires, Kimberly; Gattamorta, Karina; Ferrer, Lilian; Peragallo, Nilda

    2015-01-01

    Aims and objectives To investigate if socio-demographic factors, religiosity, HIV-related knowledge, Marianismo, history of having been tested for HIV, knowing someone who died of AIDS and HIV risk perception were predictive factors to HIV enacted stigma predictors among Chilean women. Background HIV infection is the number one cause of death among women during their reproductive years. In Chile, studies with people living with HIV demonstrate the existence of HIV-related stigma. However, limited evidence is available about the underlying causes of HIV enacted stigma that results in stigmatisation and discrimination. Design The current cross-sectional study is a secondary analysis of data collected to assess the impact of an HIV prevention intervention (Mano a Mano-Mujer) designed for Chilean women. A quasi-experimental design was used in the original study. Methods This study was conducted in two communities in Santiago, Chile. The sample for this study consisted of 496 Chileans between ages 18–49. Descriptive statistics and multiple regression were used for the analysis. Results Participants in the study reported high levels (77·8%) of HIV enacted stigma. Higher levels of HIV-related knowledge were associated with lower levels of HIV enacted stigma. Women with higher education had lower levels of HIV enacted stigma than women with elementary education. In addition, greater levels of marianismo (cultural belief that women should be passive, faithful, and devoted to family) were associated with higher HIV enacted stigma scores. Conclusions The findings reflected the presence of HIV enacted stigma among Chilean women. Identifying the significant predictors of HIV enacted stigma can help the nursing community to design HIV prevention interventions that include the reduction in HIV enacted stigma. HIV evidence-based prevention interventions should incorporate contents related to stigma to contribute to prevent HIV enacted stigma at individual and community levels

  16. The predictors of foot ulceration in patients with rheumatoid arthritis.

    PubMed

    Firth, Jill; Waxman, Robin; Law, Graham; Nelson, E Andrea; Helliwell, Philip; Siddle, Heidi; Otter, Simon; Butters, Violet; Baker, Lesley; Hryniw, Rosemary; Bradley, Sarah; Loughrey, Lorraine; Alcacer-Pitarch, Begonya; Davies, Samantha; Tranter, Jennifer

    2014-05-01

    This study was conducted to determine the predictors of foot ulceration occurring in patients with rheumatoid arthritis (RA) without diabetes. A multi-centre case control study was undertaken; participants were recruited from eight sites (UK). Cases were adults diagnosed with RA (without diabetes) and the presence of a validated foot ulcer, defined as a full thickness skin defect occurring in isolation on / below the midline of the malleoli and requiring > 14 days to heal. Controls met the same criteria but were ulcer naive. Clinical examination included loss of sensation (10g monofilament); ankle-brachial pressure index (ABPI); forefoot deformity (Platto); plantar pressures (PressureStat); RA disease activity (36 swollen/tender joint counts) and the presence of vasculitis. History taking included past ulceration/foot surgery; current medication and smoking status. Participants completed the Health Assessment Questionnaire (HAQ) and Foot Impact Scale. A total of 83 cases with 112 current ulcers and 190 ulcer naïve controls participated. Cases were significantly older (mean age 71 years; 95 % confidence interval [CI], 69-73 vs. 62 years, 60-64) and had longer RA disease duration (mean 22 years; 19-25 vs. 15, 13-17). Univariate analysis showed that risk of ulceration increases with loss of sensation; abnormality of ABPI and foot deformity. Plantar pressures and joint counts were not significant predictors. HAQ score and history of foot surgery were strongly associated with ulceration (odds ratio [OR] = 1.704, 95 % CI 1.274-2.280 and OR = 2.256, 95 % CI 1.294-3.932). Three cases and two controls presented with suspected cutaneous vasculitis. In logistic regression modelling, ABPI (OR = 0.04; 95 % CI, 0.01-0.28) forefoot deformity (OR = 1.14; 95 % CI, 1.08-1.21) and loss of sensation (OR = 1.22; 95 % CI, 1.10-1.36) predicted risk of ulceration. In patients with RA, ABPI, forefoot deformity and loss of sensation predict risk of ulceration

  17. Predictors of Change in Substance Abuse Status in Soldiers

    PubMed Central

    Mehrazmay, Alireza; Karambakhsh, Alireza; Salesi, Mahmood; Heydari, Mostafa; Ahmadi, Khodabakhsh

    2015-01-01

    Background: Military service is a stressful task that influences the life style of army personnel. Several factors can make soldiers less capable of coping with stressful events; so they may try to start drug abuse or increase in the amount or diversity of substance abuse. Understanding factors responsible for this misbehavior among soldiers is crucial for their commanders to modify these factors. Objectives: This study aimed to determine the predictors of change in substance abuse status in soldiers. Patients and Methods: This cross-sectional research was conducted to evaluate the substance abuse status among Iranian soldiers in 2010. The target population was the soldiers who had spent at least 3 months of their military service. Cluster sampling was done from army service garrisons in 12 provinces in Iran. A total of 3960 soldiers were selected with different levels of education and age. Data gathering was done with demographic questionnaires, Texas Christian university (TCU) drug screen II and ASI questionnaire (fifth edition). Four types of dependent variables were defined: “improvement”, “without change”, “deterioration”, and “severe deterioration”. Backward ordinal regression analysis was done and P values, OR, and SE were calculated by SPSS19 software. Results: Totally, 6.7% of soldiers improved, 82% remained without change, 6.1% deteriorated, and 5.2% severely deteriorated with regard to their substance abuse. Modifiable predictors were distance from home lower than 200 km (OR =1.54), bad relationship with commanders (OR = 1.88), service place dissatisfaction (OR = 1.39), and always feeling lonely (OR = 1.83). Non-modifiable factors were alcohol use within family and friends (P = 0.000); psychiatric drug use history (OR = 1.72); suicidal attempt history (OR = 1.31); divorce, separation, and extramarital contact (P = 0.001); unemployment (P = 0.019); leisure time dissatisfaction (P = 0.004); living alone (OR = 2.43); and substance abuse

  18. Predictors of Indoor Radon Concentrations in Pennsylvania, 1989–2013

    PubMed Central

    Casey, Joan A.; Ogburn, Elizabeth L.; Rasmussen, Sara G.; Irving, Jennifer K.; Pollak, Jonathan; Locke, Paul A.

    2015-01-01

    Background Radon is the second-leading cause of lung cancer worldwide. Most indoor exposure occurs by diffusion of soil gas. Radon is also found in well water, natural gas, and ambient air. Pennsylvania has high indoor radon concentrations; buildings are often tested during real estate transactions, with results reported to the Department of Environmental Protection (PADEP). Objectives We evaluated predictors of indoor radon concentrations. Methods Using first-floor and basement indoor radon results reported to the PADEP between 1987 and 2013, we evaluated associations of radon concentrations (natural log transformed) with geology, water source, building characteristics, season, weather, community socioeconomic status, community type, and unconventional natural gas development measures based on drilled and producing wells. Results Primary analysis included 866,735 first measurements by building, with the large majority from homes. The geologic rock layer on which the building sat was strongly associated with radon concentration (e.g., Axemann Formation, median = 365 Bq/m3, IQR = 167–679 vs. Stockton Formation, median = 93 Bq/m3, IQR = 52–178). In adjusted analysis, buildings using well water had 21% higher concentrations (β = 0.191, 95% CI: 0.184, 0.198). Buildings in cities (vs. townships) had lower concentrations (β = –0.323, 95% CI: –0.333, –0.314). When we included multiple tests per building, concentrations declined with repeated measurements over time. Between 2005 and 2013, 7,469 unconventional wells were drilled in Pennsylvania. Basement radon concentrations fluctuated between 1987 and 2003, but began an upward trend from 2004 to 2012 in all county categories (p < 0.001), with higher levels in counties having ≥ 100 drilled wells versus counties with none, and with highest levels in the Reading Prong. Conclusions Geologic unit, well water, community, weather, and unconventional natural gas development were associated with indoor radon

  19. Predictor Variables for Marathon Race Time in Recreational Female Runners

    PubMed Central

    Schmid, Wiebke; Knechtle, Beat; Knechtle, Patrizia; Barandun, Ursula; Rüst, Christoph Alexander; Rosemann, Thomas; Lepers, Romuald

    2012-01-01

    Purpose We intended to determine predictor variables of anthropometry and training for marathon race time in recreational female runners in order to predict marathon race time for future novice female runners. Methods Anthropometric characteristics such as body mass, body height, body mass index, circumferences of limbs, thicknesses of skin-folds and body fat as well as training variables such as volume and speed in running training were related to marathon race time using bi- and multi-variate analysis in 29 female runners. Results The marathoners completed the marathon distance within 251 (26) min, running at a speed of 10.2 (1.1) km/h. Body mass (r=0.37), body mass index (r=0.46), the circumferences of thigh (r=0.51) and calf (r=0.41), the skin-fold thicknesses of front thigh (r=0.38) and of medial calf (r=0.40), the sum of eight skin-folds (r=0.44) and body fat percentage (r=0.41) were related to marathon race time. For the variables of training, maximal distance ran per week (r=− 0.38), number of running training sessions per week (r=− 0.46) and the speed of the training sessions (r= − 0.60) were related to marathon race time. In the multi-variate analysis, the circumference of calf (P=0.02) and the speed of the training sessions (P=0.0014) were related to marathon race time. Marathon race time might be partially (r 2=0.50) predicted by the following equation: Race time (min)=184.4 + 5.0 x (circumference calf, cm) –11.9 x (speed in running during training, km/h) for recreational female marathoners. Conclusions Variables of both anthropometry and training were related to marathon race time in recreational female marathoners and cannot be reduced to one single predictor variable. For practical applications, a low circumference of calf and a high running speed in training are associated with a fast marathon race time in recreational female runners. PMID:22942994

  20. Identifying Predictors of Childhood Anaemia in North-East India

    PubMed Central

    Goswami, Sankar; Dey, Tanujit

    2013-01-01

    The objective of this study is to examine the factors that influence the occurrence of childhood anaemia in North-East India by exploring dataset of the Reproductive and Child Health-II Survey (RCH-II). The study population consisted of 10,137 children in the age-group of 0-6 year(s) from North-East India to explore the predictors of childhood anaemia by means of different background characteristics, such as place of residence, religion, household standard of living, literacy of mother, total children ever born to a mother, age of mother at marriage. Prevalence of anaemia among children was taken as a polytomous variable. The predicted probabilities of anaemia were established via multinomial logistic regression model. These probabilities provided the degree of assessment of the contribution of predictors in the prevalence of childhood anaemia. The mean haemoglobin concentration in children aged 0-6 year(s) was found to be 11.85 g/dL, with a standard deviation of 5.61 g/dL. The multiple logistic regression analysis showed that rural children were at greater risk of severe (OR=2.035; p=0.003) and moderate (OR=1.23; p=0.003) anaemia. All types of anaemia (severe, moderate, and mild) were more prevalent among Hindu children (OR=2.971; p=0.000), (OR=1.195; p=0.010), and (OR=1.201; p=0.011) than among children of other religions whereas moderate (OR=1.406; p=0.001) and mild (OR=1.857; p=0.000) anaemia were more prevalent among Muslim children. The fecundity of the mother was found to have significant effect on anaemia. Women with multiple children were prone to greater risk of anaemia. The multiple logistic regression analysis also confirmed that children of literate mothers were comparatively at lesser risk of severe anaemia. Mother's age at marriage had a significant effect on anaemia of their children as well. PMID:24592587

  1. Predictors of Antiretroviral Treatment Failure in an Urban HIV Clinic

    PubMed Central

    Robbins, Gregory K.; Daniels, Brock; Zheng, Hui; Chueh, Henry; Meigs, James B.; Freedberg, Kenneth A.

    2008-01-01

    Background Predictors of antiretroviral treatment (ART) failure are not well characterized for heterogeneous clinic populations. Methods A retrospective analysis was conducted of HIV-infected patients followed in an urban HIV clinic with an HIV RNA measurement ≤400 copies/mL on ART between January 1, 2003, and December 31, 2004. The primary endpoint was treatment failure, defined as virologic failure (≥1 HIV RNA measurement >400 copies/mL), unsanctioned stopping of ART, or loss to follow-up. Prior ART adherence and other baseline patient characteristics, determined at the time of the first suppressed HIV RNA load on or after January 1, 2003, were extracted from the electronic health record (EHR). Predictors of failure were assessed using proportional hazards modeling. Results Of 829 patients in the clinic, 614 had at least 1 HIV RNA measurement ≤400 copies/mL during the study period. Of these, 167 (27.2%) experienced treatment failure. Baseline characteristics associated with treatment failure in the multivariate model were: poor adherence (hazard ratio [HR] = 3.44; 95% confidence interval [CI]: 2.34 to 5.05), absolute neutrophil count <1000/mm3 (HR = 2.90, 95% CI: 1.26 to 6.69), not suppressed on January 1, 2003 (HR = 2.69, 95% CI: 1.78 to 4.07) or <12 months of suppression (HR = 1.64, 95% CI: 1.10 to 2.45), CD4 count <200 cells/mm3 (HR = 1.90, 95% CI: 1.31 to 2.76), nucleoside-only regimen (HR = 1.75, 95% CI: 1.08 to 2.82), prior virologic failure (HR = 1.70, 95% CI: 1.22 to 2.39) and ≥1 missed visit in the prior year (HR = 1.56, 95% CI: 1.13 to 2.16). Conclusions More than one quarter of patients in a heterogeneous clinic population had treatment failure over a 2-year period. Prior ART adherence and other EHR data readily identify patient characteristics that could trigger specific interventions to improve ART outcomes. PMID:17106280

  2. Gender Differences in Predictors of Treatment Attrition with High Dose Naltrexone in Cocaine and Alcohol Dependence

    PubMed Central

    Suh, Jesse J.; Pettinati, Helen M.; Kampman, Kyle M.; O’Brien, Charles P.

    2008-01-01

    Recently, we reported that naltrexone at 150mg/day significantly decreased cocaine and alcohol use for men, but not women with co-occurring cocaine and alcohol dependence. The present study is an exploratory investigation of predictors that explain the different gender response to naltrexone, with a particular focus on differential predictors of treatment attrition. No significant predictors were associated with treatment discontinuation in men. Women, however, were more likely to discontinue treatment when reporting severe pre-treatment psychiatric problems, or nausea while in treatment. Further research on the impact of pre-treatment and in-treatment gender differences with naltrexone is warranted. PMID:19034737

  3. Texture video-assisted motion vector predictor for depth map coding

    NASA Astrophysics Data System (ADS)

    Liu, Xiaoxian; Chang, Yilin; Li, Zhibin; Huo, Junyan

    2011-08-01

    A texture video-assisted motion vector predictor for depth map coding is proposed in this letter. Based on the analyses of motion similarity between texture videos and their corresponding depth maps, the proposed approach uses the motion vectors of texture videos and the median predictor jointly to determine the optimal predicted motion vector for depth map coding by employing a rate-distortion (R-D) criterion. Experimental results demonstrate that compared with the median predictor utilized in H.264/AVC, the proposed method can save the maximum and average bit rate as high as 4.89% and 3.68%, respectively, while guaranteeing the quality of synthesized virtual views.

  4. Regional Distribution Models with Lack of Proximate Predictors: Africanized Honeybees Expanding North

    NASA Technical Reports Server (NTRS)

    Jarnevich, Catherine S.; Esaias, Wayne E.; Ma, Peter L. A.; Morisette, Jeffery T.; Nickeson, Jaime E.; Stohlgren, Thomas J.; Holcombe, Tracy R.; Nightingale, Joanne M.; Wolfe, Robert E.; Tan, Bin

    2014-01-01

    Species distribution models have often been hampered by poor local species data, reliance on coarse-scale climate predictors and the assumption that species-environment relationships, even with non-proximate predictors, are consistent across geographical space. Yet locally accurate maps of invasive species, such as the Africanized honeybee (AHB) in North America, are needed to support conservation efforts. Current AHB range maps are relatively coarse and are inconsistent with observed data. Our aim was to improve distribution maps using more proximate predictors (phenology) and using regional models rather than one across the entire range of interest to explore potential differences in drivers.

  5. Predictors of early change in bulimia nervosa after a brief psychoeducational therapy.

    PubMed

    Fernàndez-Aranda, Fernando; Alvarez-Moya, Eva M; Martínez-Viana, Cristina; Sànchez, Isabel; Granero, Roser; Penelo, Eva; Forcano, Laura; Peñas-Lledó, Eva

    2009-06-01

    We aimed to examine baseline predictors of treatment response in bulimic patients. 241 seeking-treatment females with bulimia nervosa completed an exhaustive assessment and were referred to a six-session psychoeducational group. Regression analyses of treatment response were performed. Childhood obesity, lower frequency of eating symptomatology, lower body mass index, older age, and lower family's and patient's concern about the disorder were predictors of poor abstinence. Suicidal ideation, alcohol abuse, higher maximum BMI, higher novelty seeking and lower baseline purging frequency predicted dropouts. Predictors of early symptom changes and dropouts were similar to those identified in longer CBT interventions.

  6. Regional distribution models with lack of proximate predictors: Africanized honeybees expanding north

    USGS Publications Warehouse

    Jarnevich, Catherine S.; Esaias, Wayne E.; Ma, Peter L.A.; Morisette, Jeffery T.; Nickeson, Jaime E.; Stohlgren, Thomas J.; Holcombe, Tracy R.; Nightingale, Joanne M.; Wolfe, Robert E.; Tan, Bin

    2014-01-01

    Species distribution models have often been hampered by poor local species data, reliance on coarse-scale climate predictors and the assumption that species–environment relationships, even with non-proximate predictors, are consistent across geographical space. Yet locally accurate maps of invasive species, such as the Africanized honeybee (AHB) in North America, are needed to support conservation efforts. Current AHB range maps are relatively coarse and are inconsistent with observed data. Our aim was to improve distribution maps using more proximate predictors (phenology) and using regional models rather than one across the entire range of interest to explore potential differences in drivers.

  7. A sequence-based hybrid predictor for identifying conformationally ambivalent regions in proteins

    PubMed Central

    2009-01-01

    Background 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. Results 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

  8. Brain Functional and Structural Predictors of Language Performance.

    PubMed

    Skeide, Michael A; Brauer, Jens; Friederici, Angela D

    2016-05-01

    The relation between brain function and behavior on the one hand and the relation between structural changes and behavior on the other as well as the link between the 2 aspects are core issues in cognitive neuroscience. It is an open question, however, whether brain function or brain structure is the better predictor for age-specific cognitive performance. Here, in a comprehensive set of analyses, we investigated the direct relation between hemodynamic activity in 2 pairs of frontal and temporal cortical areas, 2 long-distance white matter fiber tracts connecting each pair and sentence comprehension performance of 4 age groups, including 3 groups of children between 3 and 10 years as well as young adults. We show that the increasing accuracy of processing complex sentences throughout development is correlated with the blood-oxygen-level-dependent activation of 2 core language processing regions in Broca's area and the posterior portion of the superior temporal gyrus. Moreover, both accuracy and speed of processing are correlated with the maturational status of the arcuate fasciculus, that is, the dorsal white matter fiber bundle connecting these 2 regions. The present data provide compelling evidence for the view that brain function and white matter structure together best predict developing cognitive performance. PMID:25770126

  9. Nonpolitical images evoke neural predictors of political ideology.

    PubMed

    Ahn, Woo-Young; Kishida, Kenneth T; Gu, Xiaosi; Lohrenz, Terry; Harvey, Ann; Alford, John R; Smith, Kevin B; Yaffe, Gideon; Hibbing, John R; Dayan, Peter; Montague, P Read

    2014-11-17

    Political ideologies summarize dimensions of life that define how a person organizes their public and private behavior, including their attitudes associated with sex, family, education, and personal autonomy. Despite the abstract nature of such sensibilities, fundamental features of political ideology have been found to be deeply connected to basic biological mechanisms that may serve to defend against environmental challenges like contamination and physical threat. These results invite the provocative claim that neural responses to nonpolitical stimuli (like contaminated food or physical threats) should be highly predictive of abstract political opinions (like attitudes toward gun control and abortion). We applied a machine-learning method to fMRI data to test the hypotheses that brain responses to emotionally evocative images predict individual scores on a standard political ideology assay. Disgusting images, especially those related to animal-reminder disgust (e.g., mutilated body), generate neural responses that are highly predictive of political orientation even though these neural predictors do not agree with participants' conscious rating of the stimuli. Images from other affective categories do not support such predictions. Remarkably, brain responses to a single disgusting stimulus were sufficient to make accurate predictions about an individual subject's political ideology. These results provide strong support for the idea that fundamental neural processing differences that emerge under the challenge of emotionally evocative stimuli may serve to structure political beliefs in ways formerly unappreciated.

  10. Psychoacoustic abilities as predictors of vocal emotion recognition.

    PubMed

    Globerson, Eitan; Amir, Noam; Golan, Ofer; Kishon-Rabin, Liat; Lavidor, Michal

    2013-11-01

    Prosodic attributes of speech, such as intonation, influence our ability to recognize, comprehend, and produce affect, as well as semantic and pragmatic meaning, in vocal utterances. The present study examines associations between auditory perceptual abilities and the perception of prosody, both pragmatic and affective. This association has not been previously examined. Ninety-seven participants (49 female and 48 male participants) with normal hearing thresholds took part in two experiments, involving both prosody recognition and psychoacoustic tasks. The prosody recognition tasks included a vocal emotion recognition task and a focus perception task requiring recognition of an accented word in a spoken sentence. The psychoacoustic tasks included a task requiring pitch discrimination and three tasks also requiring pitch direction (i.e., high/low, rising/falling, changing/steady pitch). Results demonstrate that psychoacoustic thresholds can predict 31% and 38% of affective and pragmatic prosody recognition scores, respectively. Psychoacoustic tasks requiring pitch direction recognition were the only significant predictors of prosody recognition scores. These findings contribute to a better understanding of the mechanisms underlying prosody recognition and may have an impact on the assessment and rehabilitation of individuals suffering from deficient prosodic perception.

  11. PREDICTORS OF DISCORDANCE BETWEEN PERCEIVED AND OBJECTIVE NEIGHBORHOOD DATA

    PubMed Central

    Bailey, Erin J.; Malecki, Kristen C.; Engelman, Corinne D.; Walsh, Matthew C.; Bersch, Andrew J.; Martinez-Donate, Ana P.; Peppard, Paul E.; Nieto, F. Javier

    2014-01-01

    Purpose Pathways by which the social and built environments affect health can be influenced by differences between perception and reality. This discordance is an important for understanding health impacts of the built environment. This study examines associations between perceived and objective measures of 12 non-residential destinations, as well as previously unexplored sociodemographic, lifestyle, neighborhood and urbanicity predictors of discordance. Methods Perceived neighborhood data were collected from participants of the Survey of the Health of Wisconsin (SHOW), using a self-administered questionnaire. Objective data were collected using the Wisconsin Assessment of the Social and Built Environment, an audit-based instrument assessing built environment features around each participant’s residence. Results Overall, there was relatively high agreement, ranging from 50% for proximity to parks to >90% for golf courses. Education, positive neighborhood perceptions, and rurality were negatively associated with discordance. Associations between discordance and depression, disease status, and lifestyle factors appeared to be modified by urbanicity level. Conclusions These data show perceived and objective neighborhood environment data are not interchangeable and the level of discordance is associated with or modified by individual and neighborhood factors, including level of urbanicity. These results suggest that consideration should be given to including both types of measures in future studies. PMID:24467991

  12. Predictors of static balance in ambulatory persons with multiple sclerosis.

    PubMed

    Fry, Donna K; Huang, Min H; Rodda, Becky J

    2016-03-01

    People with multiple sclerosis (MS) experience a high rate of falls and have decreased static and dynamic balance. The purpose of this study was to determine best predictors of static standing balance, as measured by a single limb stance (SLS) timed test, in ambulatory persons with MS (PwMS) from among commonly used medical and rehabilitation clinical tests. Ambulatory PwMS participated in a single test session. Medical exam data gathered included the Function System (FS) neurologic exam and Expanded Disability Status Score (EDSS). A variety of commonly administered rehabilitation clinical tests addressing static balance, dynamic balance, gait endurance, functional lower extremity strength, abdominal and respiratory muscle strength were completed. Descriptive statistics, Pearson product moment correlations, and forward step-wise linear regressions were calculated. Twenty-eight ambulatory PwMS completed this study. Mean age was 54.74 years. Mean SLS score was 14.6 s. Pyramidal, sensory, bowel/bladder, and visual FS scores and the EDSS were significantly correlated with SLS. Maximal step length scores were significantly correlated with SLS at P less than 0.05 and the Functional Stair Test (FST) and 6-min walk test were correlated with SLS at P less than 0.10. Medical exam data EDSS and FS sensory explain 72.1% of the variance in SLS scores. Rehabilitation exam data FS sensory and FST explain 68.8% of the variance. The FS sensory, EDSS, and FST together explain 73.3% of the variance. PMID:26579696

  13. Ecology and drug use: universal predictors across time and place.

    PubMed

    Brook, Judith S; Brook, David W; Kats, Nataliya; Arencibia-Mireles, Orlando; Finch, Stephen J

    2009-06-01

    The interrelation of ecological and psychosocial risk factors and adolescent marijuana use is examined in this three-sample longitudinal data analysis. Participants included (a) white children from the northeast of the USA, (b) African-American and Puerto Rican adolescents from New York City, and (c) adolescents living in Colombia, South America. Adolescents were interviewed in their homes. Independent measures were from the ecological, personality, peer, and family domains. Logistic regression analysis showed that the majority of ecological variables was related to adolescent marijuana use. Hierarchical regression analysis demonstrated that the ecological domain was directly and indirectly related to adolescent marijuana use (via the family, peer, and personality domains). Intervention programs should focus on adolescents' unique ecological settings while targeting universal risk factors (e.g., low ego integration, low parental identification) which predict adolescents' marijuana use. Similarities among the ecological predictors of adolescents' marijuana use in three samples, across time and place, allow a more universal approach to the prevention of substance use. PMID:19708421

  14. Psychological predictors of opportunistic snacking in the absence of hunger.

    PubMed

    Fay, Stephanie H; White, Melanie J; Finlayson, Graham; King, Neil A

    2015-08-01

    Increased frequency of eating in the absence of homeostatic need, notably through snacking, is an important contributor to overconsumption and may be facilitated by increased availability of palatable food in the obesogenic environment. Opportunistic initiation of snacking is likely to be subject to individual differences, although these are infrequently studied in laboratory-based research paradigms. This study examined psychological factors associated with opportunistic initiation of snacking, and predictors of intake in the absence of homeostatic need. Fifty adults (mean age 34.5years, mean BMI 23.9kg/m(2), 56% female) participated in a snack taste test in which they ate a chocolate snack to satiation, after which they were offered an unanticipated opportunity to initiate a second eating episode. Trait and behavioural measures of self control, sensitivity to reward, dietary restraint and disinhibited eating were taken. Results showed that, contrary to expectations, those who initiated snacking were better at inhibitory control compared with those who did not initiate. However, amongst participants who initiated snacking, intake (kcal) was predicted by higher food reward sensitivity, impulsivity and BMI. These findings suggest that snacking initiation in the absence of hunger is an important contributor to overconsumption. Consideration of the individual differences promoting initiation of eating may aid in reducing elevated eating frequency in at-risk individuals.

  15. Predictors of employer satisfaction: technical and non-technical skills.

    PubMed

    Danielson, Jared A; Wu, Tsui-Feng; Fales-Williams, Amanda J; Kirk, Ryan A; Preast, Vanessa A

    2012-01-01

    Employers of 2007-2009 graduates from Iowa State University College of Veterinary Medicine were asked to respond to a survey regarding their overall satisfaction with their new employees as well as their new employees' preparation in several technical and non-technical skill areas. Seventy-five responses contained complete data and were used in the analysis. Four technical skill areas (data collection, data interpretation, planning, and taking action) and five non-technical skill areas (interpersonal skills, ability to deal with legal issues, business skills, making referrals, and problem solving) were identified. All of the skill area subscales listed above had appropriate reliability (Cronbach's alpha>0.70) and were positively and significantly correlated with overall employer satisfaction. Results of two simultaneous regression analyses indicated that of the four technical skill areas, taking action is the most salient predictor of employer satisfaction. Of the five non-technical skill areas, interpersonal skills, business skills, making referrals, and problem solving were the most important skills in predicting employer satisfaction. Hierarchical regression analysis revealed that all technical skills explained 25% of the variation in employer satisfaction; non-technical skills explained an additional 42% of the variation in employer satisfaction.

  16. [Definition of predictors of a complicated course in acute pancreatitis].

    PubMed

    Uhl, W; Müller, C; Büchler, M W

    1998-01-01

    It is of utmost importance to assess the severity of acute pancreatitis immediately in order to identify patients with severe or necrotising disease who can benefit from early intensive care therapy. Additionally, in face of new therapeutic concepts (e.g., antibiotic therapy) and for the evaluation of new drugs (e.g. PAF antagonist) patients should be staged as soon as possible into mild and severe disease. At hospital admission it is not possible to assess the severity on a clinical basis. The "gold standard" up to now has been imaging procedures (contrast-enhanced CT and MRI) which should be preserved for the severe cases to estimate the extent of pancreatic necrosis. The ideal predictor in blood/urine should be objective, reliable, cheap, easy to measure, and available every time and should have on hospital admission a high efficacy and independence from other diseases. As single factors there are a variety of mediators of the "systemic inflammatory response syndrome" which are elevated in this disease (C-reactive protein, antiproteases, enzyme activation peptides, PMN-elastase, complement factors, interleukines and chemokines, etc.). Among all these prognostic indicators, C-reactive protein is now the best analyzed parameter. However, one should take into account that its highest efficacy is reached 3-4 days after onset of disease.

  17. Relational Aggression in Middle Childhood: Predictors and Adolescent Outcomes

    PubMed Central

    Spieker, Susan J.; Campbell, Susan B.; Vandergrift, Nathan; Pierce, Kim M.; Cauffman, Elizabeth; Susman, Elizabeth J.; Roisman, Glenn I.

    2012-01-01

    This study examined gender differences in the level and developmental course of relational aggression in middle childhood, as well as early predictors and outcomes of relational aggression, after controlling for concurrent physical aggression. Relational (RAgg) and Physical aggression (PAgg) scores for 558 boys and 545 girls at ages 8–11 in the NICHD Study of Early Child Care and Youth Development (SECCYD) were created by combining the highest rating for each item across mother and teacher reports. Longitudinal analyses were conducted using Latent Curve Models of RAgg with PAgg as a time-varying covariate, with all parameters allowed to vary by gender. Boys and girls had different growth parameters of RAgg. Girls’ RAgg intercept was higher and the slope was not different from zero; boys’ RAgg intercept was lower and the slope declined. Mother-child conflict in early childhood predicted RAgg intercept for both boys and girls, but maternal harsh control and sensitivity were also uniquely predictive for girls, whereas center care was uniquely predictive for boys. RAgg intercept predicted adolescent self-reports of depression for girls and delinquency and risk-taking for both boys and girls; the magnitude of the association with risk-taking was significantly greater for boys. PMID:22665946

  18. Early Temperamental and Family Predictors of Shyness and Anxiety

    PubMed Central

    Volbrecht, Michele M.; Goldsmith, H. Hill

    2011-01-01

    With a sample of 242 twins (135 girls, 107 boys) studied longitudinally, behavioral inhibition (BI) and inhibitory control (IC) measured at 3 years, as well as early and concurrent family process variables, were examined as predictors of shyness and of anxiety symptoms approximately four years later. Structured observational data from laboratory and home contexts were used in conjunction with parent and experimenter ratings. A key goal was to extend previous findings of the positive relationship between early BI and anxiety development by incorporating the consideration of IC and family process variables. Using hierarchical linear modeling with REML estimation to adjust for twin dependency, early BI (b =.37, p <.01), IC (b =.14, p <.05), and concurrent lower family stress (b = −.22, p <.05), predicted shyness during middle childhood. Findings were similar for parent-rated and laboratory-based shyness measures. Anxiety symptoms were predicted by BI (b =.14, p <.05), early negative family affect (b =.20, p <.05), and family stress in middle childhood (b =.26, p <.05). These findings clarify the relative importance of temperament and family factors in the development of both shyness and anxiety symptoms during childhood. PMID:20822232

  19. Is Approximate Number Precision a Stable Predictor of Math Ability?

    PubMed Central

    Libertus, Melissa E.; Feigenson, Lisa; Halberda, Justin

    2013-01-01

    Previous research shows that children’s ability to estimate numbers of items using their Approximate Number System (ANS) predicts later math ability. To more closely examine the predictive role of early ANS acuity on later abilities, we assessed the ANS acuity, math ability, and expressive vocabulary of preschoolers twice, six months apart. We also administered attention and memory span tasks to ask whether the previously reported association between ANS acuity and math ability is ANS-specific or attributable to domain-general cognitive skills. We found that early ANS acuity predicted math ability six months later, even when controlling for individual differences in age, expressive vocabulary, and math ability at the initial testing. In addition, ANS acuity was a unique concurrent predictor of math ability above and beyond expressive vocabulary, attention, and memory span. These findings of a predictive relationship between early ANS acuity and later math ability add to the growing evidence for the importance of early numerical estimation skills. PMID:23814453

  20. Predictors of participation in preventive health examinations in Austria

    PubMed Central

    2013-01-01

    Background Preventive health check-ups in Austria are offered free of charge to all insured adults (98% of the population) and focus on early detection of chronic diseases, primary prevention, and health counseling. The study aims to explore predictors of compliance with the recommended interval of preventive health check-up performance. Methods Source of data was the Austrian Health Interview Survey 2006/07 (15,474 subjects). Participation in a preventive health examination during the last three years was used as dependent variable. Socio-demographic and health-related characteristics were used as independent variables in a multivariate logistic regression analysis. Results Results show that 41.6% of men and 41.8% of women had attended a preventive health check-up within the last three years. In multivariate analysis, subjects ≥40 years, with higher education, higher income or born in Austria were significantly more likely to attend a preventive health check-up. Furthermore, a chronic disease was associated with a higher attendance rate (OR: 1.21; CI: 1.07-1.36 in men; OR: 1.19; CI: 1.06-1.33 in women). Conclusions Attendance rates for health check-ups in the general Austrian population are comparatively high but not equally distributed among subgroups. Health check-ups must increase among people at a young age, with a lower socio-economic status, migration background and in good health. PMID:24308610

  1. Graft-versus-host disease treatment: predictors of survival.

    PubMed

    Levine, John E; Logan, Brent; Wu, Juan; Alousi, Amin M; Ho, Vincent; Bolaños-Meade, Javier; Weisdorf, Daniel

    2010-12-01

    Acute graft-versus-host disease (aGVHD) following allogeneic hematopoietic cell transplant (HCT) is the major reason for nonrelapse mortality (NRM), and thus is a major determinant of long-term survival. Clinical trials of new aGVHD treatments are needed to identify approaches that will ultimately improve upon HCT survival. At present, it is not clear how quickly response to GVHD treatment needs to be established to reliably categorize patients at high risk for death or to promptly identify those who might benefit from alternate treatment. Therefore, we analyzed time to response from onset of aGVHD treatment in 180 patients who were enrolled on a national, randomized, phase II aGVHD treatment clinical trial whose initial treatment of GVHD consisted of high-dose steroids plus a second immunosuppressive agent. The aim of this analysis was to determine whether time to aGVHD treatment response predicts patient outcomes, especially survival. We used response at 14, 28, and 56 days from initiation of aGVHD treatment to categorize patients for NRM and survival. Multivariate analyses and specificity/sensitivity analyses identified that day 28 response (complete or partial response) best categorized patients by NRM and survival at 9 months from start of aGVHD treatment. If verified as a reliable predictor of late outcomes following other aGVHD treatment approaches, day 28 response should serve as a standard early endpoint for future trials of aGVHD therapy.

  2. Predictors of severity and necrosis in acute pancreatitis.

    PubMed

    Papachristou, Georgios I; Whitcomb, David C

    2004-12-01

    C-reactive protein remains the single standard biochemical marker for predicting the severity of AP. Because the combination of clinical-physiological scores and CRP provide good information at 48 hours, research has focused on the predictive ability of various markers when applied in the initial 24 hours after admission to the hospital. After detailed review of the literature, the authors conclude that there is no single tool that serves as the optimal predictor of severity. There are, however, data that support the use of certain tests to improve upon the clinician's early predictive ability on the subsequent course of AP. These include an APACHE II score greater than 7 and IL-6 at the time of admission, and urine TAP, urine trypsinogen-2, and serum PMN elastase at 24 hours (Table 4). These markers only will be able to help the clinician's predictive ability if they can be performed locally and if the results can be available ina timely manner. Future research should focus on promising markers such as procalcitonin, IL-8, IL-I ra, sTNFR, CAPAP, PLA-2, novel markers, and the combined use of more than one marker. The conventional research approach in predicting severity used in the last 15 years has limitations and appears to have reached its maximal potential. Novel conceptions and approaches, such as identification of genetic polymorphisms that predispose to severe course and complications of AP or other approaches are needed for a quantum step forward.

  3. Application of Interval Predictor Models to Space Radiation Shielding

    NASA Technical Reports Server (NTRS)

    Crespo, Luis G.; Kenny, Sean P.; Giesy,Daniel P.; Norman, Ryan B.; Blattnig, Steve R.

    2016-01-01

    This paper develops techniques for predicting the uncertainty range of an output variable given input-output data. These models are called Interval Predictor Models (IPM) because they yield an interval valued function of the input. This paper develops IPMs having a radial basis structure. This structure enables the formal description of (i) the uncertainty in the models parameters, (ii) the predicted output interval, and (iii) the probability that a future observation would fall in such an interval. In contrast to other metamodeling techniques, this probabilistic certi cate of correctness does not require making any assumptions on the structure of the mechanism from which data are drawn. Optimization-based strategies for calculating IPMs having minimal spread while containing all the data are developed. Constraints for bounding the minimum interval spread over the continuum of inputs, regulating the IPMs variation/oscillation, and centering its spread about a target point, are used to prevent data over tting. Furthermore, we develop an approach for using expert opinion during extrapolation. This metamodeling technique is illustrated using a radiation shielding application for space exploration. In this application, we use IPMs to describe the error incurred in predicting the ux of particles resulting from the interaction between a high-energy incident beam and a target.

  4. Anterior cruciate ligament reconstruction and rehabilitation: predictors of functional outcome

    PubMed Central

    DELLA VILLA, FRANCESCO; RICCI, MARGHERITA; PERDISA, FRANCESCO; FILARDO, GIUSEPPE; GAMBERINI, JACOPO; CAMINATI, DANIELE; DELLA VILLA, STEFANO

    2015-01-01

    Surgical reconstruction of an injured anterior cruciate ligament (ACL) leads to full recovery of function and sports activity in a high percentage of cases. The aim of the present study was to analyze variables related to the patient, the surgical technique and the post-surgical rehabilitation methods, seeking to identify predictors of outcome and recovery time after ACL reconstruction. One hundred and four patients (81 M, 23 F) undergoing a step-based rehabilitation protocol after ACL reconstruction were evaluated. 43.2% of them had an isolated ACL lesion, whereas 56.8% had one or more concurrent injuries. Data relating to personal characteristics, surgery and post-operative management were collected and analyzed for correlation. Clinical outcome was evaluated with IKDC subjective score and the Tegner score, and the time to reach full recovery was noted as well. Young patients with a higher pre-injury Tegner activity level or who practice sport at professional level, no concurrent capsular lesions and no postoperative knee bracing had better clinical results and took shorter time to recover. Also, a higher percentage of on-the-field rehabilitation sessions, and absence of significant muscle strength deficits at the first knee isokinetic test emerged as rehabilitation-related factors leading to a better post-surgical outcome. Personal, surgical and rehabilitation factors should be considered in order to optimize patient management and maximize the expected results. Further studies are needed to find the strongest factors in different patients. Level of evidence Level IV, retrospective study. PMID:26904523

  5. Baseline predictors of central aortic blood pressure: a PEAR substudy.

    PubMed

    Rosenwasser, Rebecca F; Shah, Niren K; Smith, Steven M; Wen, Xuerong; Gong, Yan; Gums, John G; Nichols, Wilmer W; Chapman, Arlene B; Boerwinkle, Eric; Johnson, Julie; Epstein, Benjamin

    2014-03-01

    Elevated central systolic blood pressure (BP) increases the risk of cardiovascular events and appears superior to peripheral BP for long term risk prediction. The objective of this study was to identify demographic and clinical factors associated with central pressures in patients with uncomplicated hypertension. We prospectively examined peripheral BP, central aortic BP, and arterial wall properties and wave reflection in 57 subjects with uncomplicated essential hypertension in the Pharmacogenomic Evaluation of Antihypertensive Responses (PEAR) Study. Significant predictors of central SBP included height, smoking status, heart rate (HR), and peripheral systolic BP (SBP), while central diastolic BP (DBP) was explained by peripheral DBP and HR. These variables accounted for nearly all of the variability in central SBP and central DBP (R(2) = 0.94 and R(2) = 0.98, respectively). Central pulse pressure variability was largely explained by gender, ex-smoking status, HR, peripheral SBP, and peripheral DBP (R(2) = 0.94). Central augmented pressure had a direct relationship with smoking status, peripheral SBP, and duration of hypertension, whereas it was indirectly related to height, HR, and peripheral DBP. Easily obtainable demographic and clinical factors are associated with central pressures in essential hypertensive persons. These relationships should be considered in future studies to improve assessment of BP to reduce cardiovascular risk and mortality.

  6. Novel risk predictor for thrombus deposition in abdominal aortic aneurysms

    NASA Astrophysics Data System (ADS)

    Nestola, M. G. C.; Gizzi, A.; Cherubini, C.; Filippi, S.; Succi, S.

    2015-10-01

    The identification of the basic mechanisms responsible for cardiovascular diseases stands as one of the most challenging problems in modern medical research including various mechanisms which encompass a broad spectrum of space and time scales. Major implications for clinical practice and pre-emptive medicine rely on the onset and development of intraluminal thrombus in which effective clinical therapies require synthetic risk predictors/indicators capable of informing real-time decision-making protocols. In the present contribution, two novel hemodynamics synthetic indicators, based on a three-band decomposition (TBD) of the shear stress signal, are introduced. Extensive fluid-structure computer simulations of patient-specific scenarios confirm the enhanced risk-prediction capabilities of the TBD indicators. In particular, they permit a quantitative and accurate localization of the most likely thrombus deposition in realistic aortic geometries, where previous indicators would predict healthy operation. The proposed methodology is also shown to provide additional information and discrimination criteria on other factors of major clinical relevance, such as the size of the aneurysm.

  7. Nanoparticle Surface Affinity as a Predictor of Trophic Transfer.

    PubMed

    Geitner, Nicholas K; Marinakos, Stella M; Guo, Charles; O'Brien, Niall; Wiesner, Mark R

    2016-07-01

    Nanoscale materials, whether natural, engineered, or incidental, are increasingly acknowledged as important components in large, environmental systems with potential implications for environmental impact and human health. Mathematical models are a useful tool for handling the rapidly increasing complexity and diversity of these materials and their exposure routes. Presented here is a mathematical model of trophic transfer driven by nanomaterial surface affinity for environmental and biological surfaces, developed in tandem with an experimental functional assay for determining these surface affinities. We found that nanoparticle surface affinity is a strong predictor of uptake through predation in a simple food web consisting of the algae Chlorella vulgaris and daphnid Daphnia magna. The mass of nanoparticles internalized by D. magna through consuming nanomaterial-contaminated algae varied linearly with surface-attachment efficiency. Internalized quantities of gold nanoparticles in D. magna ranged from 8.3 to 23.6 ng/mg for nanoparticle preparations with surface-attachment efficiencies ranging from 0.07 to 1. This model, coupled with the functional-assay approach, may provide a useful screening tool for existing materials as well as a predictive model for their development. PMID:27249534

  8. A rapid, reproducible, noninvasive predictor of liver graft survival

    PubMed Central

    Zarrinpar, Ali; Lee, Coney; Noguchi, Emily; Yersiz, Hasan; Agopian, Vatche G.; Kaldas, Fady M.; Farmer, Douglas G.; Busuttil, Ronald W.

    2016-01-01

    Background Clinical and laboratory criteria are not reliable predictors of deceased donor liver graft quality. Intraoperative assessment of experienced surgeons is the gold standard. Standardizing and quantifying this assessment is especially needed now that regional sharing is the rule. We prospectively evaluated a novel, simple, rapid, noninvasive, quantitative measure of liver function performed before graft procurement. Materials and methods Using a portable, finger-probe–based device, indocyanine green plasma disappearance rates (ICG-PDR) were measured in adult brain-dead donors in the local donor service area before organ procurement. Results were compared with graft function and outcomes. Both donor and recipient teams were blinded to ICG-PDR measurements. Results Measurements were performed on 53 consecutive donors. Eleven liver grafts were declined by all centers because of quality; the other 42 grafts were transplanted. Logistic regression analysis showed ICG-PDR to be the only donor variable to be significantly associated with 7-d graft survival. Donor risk index, donor age, and transaminase levels at peak or procurement were not significantly associated with 7-d graft survival. Conclusions We report the successful use of a portable quantitative means of measuring liver function and its association with graft survival. These data warrant further exploration in a variety of settings to evaluate acceptable values for donated liver grafts. PMID:25940156

  9. Vagal Flexibility: A Physiological Predictor of Social Sensitivity

    PubMed Central

    Muhtadie, Luma; Akinola, Modupe; Koslov, Katrina; Mendes, Wendy Berry

    2015-01-01

    This research explores vagal flexibility— dynamic modulation of cardiac vagal control—as an individual-level physiological index of social sensitivity. In 4 studies, we test the hypothesis that individuals with greater cardiac vagal flexibility, operationalized as higher cardiac vagal tone at rest and greater cardiac vagal withdrawal (indexed by a decrease in respiratory sinus arrhythmia) during cognitive or attentional demand, perceive social-emotional information more accurately and show greater sensitivity to their social context. Study 1 sets the foundation for this investigation by establishing that vagal flexibility can be elicited consistently in the laboratory and reliably over time. Study 2 demonstrates that vagal flexibility has different associations with psychological characteristics than does vagal tone, and that these characteristics are primarily social in nature. Study 3 links individual differences in vagal flexibility with accurate detection of social and emotional cues depicted in still facial images. Study 4 demonstrates that individuals with greater vagal flexibility respond to dynamic social feedback in a more context-sensitive manner than do individuals with less vagal flexibility. Specifically, compared with their less flexible counterparts, individuals with greater vagal flexibility, when assigned to receive negative social feedback, report more shame, show more pronounced blood pressure responses, and display less sociable behavior, but when receiving positive social feedback display more sociable behavior. Taken together, these findings suggest that vagal flexibility is a useful individual difference physiological predictor of social sensitivity, which may have implications for clinical, developmental, and health psychologists. PMID:25545841

  10. Predictors of employer satisfaction: technical and non-technical skills.

    PubMed

    Danielson, Jared A; Wu, Tsui-Feng; Fales-Williams, Amanda J; Kirk, Ryan A; Preast, Vanessa A

    2012-01-01

    Employers of 2007-2009 graduates from Iowa State University College of Veterinary Medicine were asked to respond to a survey regarding their overall satisfaction with their new employees as well as their new employees' preparation in several technical and non-technical skill areas. Seventy-five responses contained complete data and were used in the analysis. Four technical skill areas (data collection, data interpretation, planning, and taking action) and five non-technical skill areas (interpersonal skills, ability to deal with legal issues, business skills, making referrals, and problem solving) were identified. All of the skill area subscales listed above had appropriate reliability (Cronbach's alpha>0.70) and were positively and significantly correlated with overall employer satisfaction. Results of two simultaneous regression analyses indicated that of the four technical skill areas, taking action is the most salient predictor of employer satisfaction. Of the five non-technical skill areas, interpersonal skills, business skills, making referrals, and problem solving were the most important skills in predicting employer satisfaction. Hierarchical regression analysis revealed that all technical skills explained 25% of the variation in employer satisfaction; non-technical skills explained an additional 42% of the variation in employer satisfaction. PMID:22433741

  11. Hybrid automated reliability predictor integrated work station (HiREL)

    NASA Technical Reports Server (NTRS)

    Bavuso, Salvatore J.

    1991-01-01

    The Hybrid Automated Reliability Predictor (HARP) integrated reliability (HiREL) workstation tool system marks another step toward the goal of producing a totally integrated computer aided design (CAD) workstation design capability. Since a reliability engineer must generally graphically represent a reliability model before he can solve it, the use of a graphical input description language increases productivity and decreases the incidence of error. The captured image displayed on a cathode ray tube (CRT) screen serves as a documented copy of the model and provides the data for automatic input to the HARP reliability model solver. The introduction of dependency gates to a fault tree notation allows the modeling of very large fault tolerant system models using a concise and visually recognizable and familiar graphical language. In addition to aiding in the validation of the reliability model, the concise graphical representation presents company management, regulatory agencies, and company customers a means of expressing a complex model that is readily understandable. The graphical postprocessor computer program HARPO (HARP Output) makes it possible for reliability engineers to quickly analyze huge amounts of reliability/availability data to observe trends due to exploratory design changes.

  12. Hypomineralized Second Primary Molars as Predictor of Molar Incisor Hypomineralization.

    PubMed

    Negre-Barber, A; Montiel-Company, J M; Boronat-Catalá, M; Catalá-Pizarro, M; Almerich-Silla, J M

    2016-01-01

    Molar incisor hypomineralization (MIH) is a developmental defect of dental enamel that shares features with hypomineralized second primary molars (HSPM). Prior to permanent tooth eruption, second primary molars could have predictive value for permanent molar and incisor hypomineralization. To assess this possible relationship, a cross-sectional study was conducted in a sample of 414 children aged 8 and 9 years from the INMA cohort in Valencia (Spain). A calibrated examiner (linear-weighted Kappa 0.83) performed the intraoral examinations at the University of Valencia between November 2013 and 2014, applying the diagnostic criteria for MIH and HSPM adopted by the European Academy of Paediatric Dentistry. 100 children (24.2%) presented MIH and 60 (14.5%) presented HSPM. Co-occurrence of the two defects was observed in 11.1% of the children examined. The positive predictive value was 76.7% (63.9-86.6) and the negative predictive value 84.7% (80.6-88.3). The positive likelihood ratio (S/1-E) was 10.3 (5.9-17.9) and the negative likelihood ratio (1-S/E) 0.57 (0.47-0.68). The odds ratio was 18.2 (9.39-35.48). It was concluded that while the presence of HSPM can be considered a predictor of MIH, indicating the need for monitoring and control, the absence of this defect in primary dentition does not rule out the appearance of MIH. PMID:27558479

  13. Frontal Cortical Atrophy as a Predictor of Poststroke Apathy.

    PubMed

    Mihalov, Ján; Mikula, Peter; Budiš, Jaroslav; Valkovič, Peter

    2016-07-01

    The aim of the study was to identify associations between the symptoms of poststroke apathy and sociodemographic, stroke-related (severity of stroke, degree of disability, and performance in activities of daily living), and radiological correlates. We determined the degree of cortical and subcortical brain atrophy, the severity of white matter and basal ganglia lesions on baseline computed tomography (CT) scans, and the localization of acute ischemia on control CT or magnetic resonance imaging scans in subacute stages of stroke. During follow-up examinations, in addition to the assessment of apathy symptoms using the Apathy Scale, we also evaluated symptoms of depression and anxiety using the Hospital Anxiety and Depression Scale. The study included 47 consecutive patients with acute ischemic stroke. Correlates significantly associated with apathy, determined at baseline and during follow-up, were entered into the "predictive" and "associative" multiple regression models, respectively. Frontal cortical atrophy and symptoms of depression were most strongly associated with poststroke apathy symptoms. In order to model an interrelation between both cortical atrophy and white matter lesions and aging, we supplemented 2 additional "predictive" models using interaction variables, whereby we confirmed the role of frontal cortical atrophy as a predictor of poststroke apathy also as a function of the increasing age of patients. PMID:27056065

  14. Manifest dream content as a possible predictor of suicidality.

    PubMed

    Glucksman, Myron L

    2014-12-01

    The prediction of suicidal intent remains a clinical problem. This presentation illustrates that a distinction may be made between the manifest dream reports of patients who are potentially or acutely suicidal and those who are not. A review of the literature reveals that the manifest dream reports of clinically depressed, non-suicidal individuals differ from those who are depressed and acutely suicidal. The former contain themes of loss, disappointment, rejection, helplessness, hopelessness, failure, and death. The latter contain themes of dying, death, destruction, and violence directed toward the dreamer or others, as well as hopelessness and helplessness. The author collected manifest dream reports from three clinically depressed, non-suicidal patients and three clinically depressed, potentially or acutely suicidal patients. There are apparent differences between the themes of manifest dream reports in the clinically depressed, non-suicidal patients and the clinically depressed, potentially or acutely suicidal patients. The former contain themes of death, loss, rejection, vulnerability, hopelessness, and helplessness. The latter contain themes of active harm or violence (specifically toward the dreamer), dying or being dead, aloneness, vulnerability, hopelessness, and helplessness. Clinical cases and corresponding manifest dream reports are presented. Although this is a preliminary study, it is possible that manifest dream content may be used as one of the predictors of suicidality, in conjunction with latent dream content, diagnosis, life circumstance, and clinical status. PMID:25494585

  15. Predictors of psychostimulant use by long-distance truck drivers.

    PubMed

    Williamson, Ann

    2007-12-01

    Two national cross-sectional surveys of fatigue and its effects in long-distance road transport in Australia showed that stimulant use was a common feature of this industry. Between one in five and one in three drivers reported using stimulants at least sometimes, and a significant proportion reported stimulant use as a most helpful fatigue management strategy. This study reanalyzed the surveys with the aim of identifying predictors of stimulant drug use by drivers. The surveys were administered in 1991 (n = 970) and 1998 (n = 1,007) by interview and self-administration. Logistic regression analysis conducted separately for each survey showed that stimulant drug use was twice as likely for drivers who had the greatest problem in managing fatigue and was two to three times more likely for drivers paid on a payment-by-results or contingency-payment basis. Younger, less experienced drivers were also more likely to take drugs. This analysis demonstrates the involvement of external factors, especially productivity-based payment systems, in stimulant drug use by truck drivers; findings were confirmed in two separate surveys conducted 7 years apart. Results highlight the important role of economic and organizational factors in occupational health and safety problems. PMID:17716982

  16. Breast reconstruction following conservative mastectomies: predictors of complications and outcomes

    PubMed Central

    Voineskos, Sophocles H.; Frank, Simon G.

    2015-01-01

    Breast reconstruction can be performed using a variety of techniques, most commonly categorized into an alloplastic approach or an autologous tissue method. Both strategies have certain risk factors that influence reconstructive outcomes and complication rates. In alloplastic breast reconstruction, surgical outcomes and complication rates are negatively impacted by radiation, smoking, increased body mass index (BMI), hypertension, and prior breast conserving therapy. Surgical factors such as the type of implant material, undergoing immediate breast reconstruction, and the use of fat grafting can improve patient satisfaction and aesthetic outcomes. In autologous breast reconstruction, radiation, increased BMI, certain previous abdominal surgery, smoking, and delayed reconstruction are associated with higher complication rates. Though a pedicled transverse rectus abdominis myocutaneous (TRAM) flap is the most common type of flap used for autologous breast reconstruction, pedicled TRAMs are more likely to be associated with fat necrosis than a free TRAM or deep inferior epigastric perforator (DIEP) flap. Fat grafting can also be used to improve aesthetic outcomes in autologous reconstruction. This article focuses on factors, both patient and surgical, that are predictors of complications and outcomes in breast reconstruction. PMID:26645003

  17. LigandRNA: computational predictor of RNA-ligand interactions.

    PubMed

    Philips, Anna; Milanowska, Kaja; Lach, Grzegorz; Bujnicki, Janusz M

    2013-12-01

    RNA molecules have recently become attractive as potential drug targets due to the increased awareness of their importance in key biological processes. The increase of the number of experimentally determined RNA 3D structures enabled structure-based searches for small molecules that can specifically bind to defined sites in RNA molecules, thereby blocking or otherwise modulating their function. However, as of yet, computational methods for structure-based docking of small molecule ligands to RNA molecules are not as well established as analogous methods for protein-ligand docking. This motivated us to create LigandRNA, a scoring function for the prediction of RNA-small molecule interactions. Our method employs a grid-based algorithm and a knowledge-based potential derived from ligand-binding sites in the experimentally solved RNA-ligand complexes. As an input, LigandRNA takes an RNA receptor file and a file with ligand poses. As an output, it returns a ranking of the poses according to their score. The predictive power of LigandRNA favorably compares to five other publicly available methods. We found that the combination of LigandRNA and Dock6 into a "meta-predictor" leads to further improvement in the identification of near-native ligand poses. The LigandRNA program is available free of charge as a web server at http://ligandrna.genesilico.pl.

  18. Predictors for Early Identification of Hepatitis C Virus Infection

    PubMed Central

    Tsai, Mei-Hua; Lin, Kuei-Hsiang; Lin, Kuan-Tsou; Hung, Chi-Ming; Cheng, Hung-Shiang; Tyan, Yu-Chang; Huang, Hui-Wen; Sanno-Duanda, Bintou; Yang, Ming-Hui; Yuan, Shyng-Shiou; Chu, Pei-Yu

    2015-01-01

    Hepatitis C virus (HCV) infection can cause permanent liver damage and hepatocellular carcinoma, and deaths related to HCV deaths have recently increased. Chronic HCV infection is often undiagnosed such that the virus remains infective and transmissible. Identifying HCV infection early is essential for limiting its spread, but distinguishing individuals who require further HCV tests is very challenging. Besides identifying high-risk populations, an optimal subset of indices for routine examination is needed to identify HCV screening candidates. Therefore, this study analyzed data from 312 randomly chosen blood donors, including 144 anti-HCV-positive donors and 168 anti-HCV-negative donors. The HCV viral load in each sample was measured by real-time polymerase chain reaction method. Receiver operating characteristic curves were used to find the optimal cell blood counts and thrombopoietin measurements for screening purposes. Correlations with values for key indices and viral load were also determined. Strong predictors of HCV infection were found by using receiver operating characteristics curves to analyze the optimal subsets among red blood cells, monocytes, platelet counts, platelet large cell ratios, and mean corpuscular hemoglobin concentrations. Sensitivity, specificity, and area under the receiver operator characteristic curve (P < 0.0001) were 75.6%, 78.5%, and 0.859, respectively. PMID:26413522

  19. Dieting and restrained eating as prospective predictors of weight gain.

    PubMed

    Lowe, Michael R; Doshi, Sapna D; Katterman, Shawn N; Feig, Emily H

    2013-09-02

    Research in normal weight individuals paradoxically suggests that measures of attempted eating restriction might represent robust predictors of weight gain. This review examined the extent to which measures of dieting (e.g., self-reported weight loss dieting in the past year) and dietary restraint (e.g., the Cognitive Restraint scale from the Three-Factor Eating Questionnaire) have prospectively predicted weight change. We located and reviewed 25 prospective studies containing 40 relevant comparisons. Studies were limited to those in which participants were non-obese (with a mean BMI between 18.5 and 30) and averaged at least 12 years old. Neither measure predicted future weight loss. Fifteen of the 20 comparisons (75%) that examined measures of dieting significantly predicted future weight gain whereas only 1 of 20 (5%) that examined restrained eating measures did so. Two plausible explanations for these findings are that: (1) dieters and restrained eaters do not differ in terms of an underlying proneness toward weight gain, but restrained eating represents a more effective means of preventing it; and (2) normal weight individuals who diet do so because they are resisting a powerful predisposition toward weight gain which dieting ultimately fails to prevent. Recent dieting in non-obese individuals may be a valuable proxy of susceptibility to weight gain. This easily assessed characteristic could identify individuals for whom obesity prevention interventions would be particularly appropriate.

  20. Sorption: Equilibrium partitioning and QSAR development using molecular predictors

    SciTech Connect

    Means, J.C.

    1994-12-31

    Sorption of chemical contaminants to sediments and soils has long been a subject of intensive investigation and QSAR development. Progressing the development of organic carbon-normalized, equilibrium partition constants (Koc) have greatly advanced the prediction of environmental fate. Integration of observed experimental results with thermodynamic modeling of compound behavior, based upon concepts of phase activities and fugacity have placed these QSARs on a firm theoretical base. An increasing spectrum of compound properties such as solubility, chemical activity, molecular surface area and other molecular topological indices have been evaluated for their utility as predictors of sorption properties. Questions concerning the effects of nonequilibrium states, hysteresis or irreversibility in desorption kinetics and equilibria, and particle-concentrations effects upon equilibrium constants as they affect fate predictions remain areas of contemporary investigation. These phenomena are considered and reviewed. The effects of modifying factors such as the effects of salinity or the presence of co-solvents may alter predicted fate of a compound. Competitive sorption with mobile microparticulate or colloidal phases may also impact OSAR predictions. Research on the role of both inorganic and organic-rich colloidal phases as a modifying influence on soil/sediment equilibrium partitioning theory is summarized.