Parents’ Primary Professional Sources of Parenting Advice Moderate Predictors of Parental Attitudes toward Corporal Punishment

Science.gov (United States)

Taylor, Catherine A.; McKasson, Sarah; Hoy, Guenevere; DeJong, William

2016-01-01

Despite the risk it poses to children’s mental and physical health, approval and use of corporal punishment (CP) remains high in the United States. Informed by the Theory of Planned Behavior, we examined potential predictors of attitudes supportive of CP while assessing the moderating effects of parents’ (N=500) chosen primary professional source of advice regarding child discipline: pediatricians (47.8%), religious leaders (20.8%), mental health professionals (MHPs) (n=18.4%), or other identified professionals (13.0%). We conducted a random-digit-dial telephone survey among parents ages 18 and over within New Orleans, LA. The main outcome measure was derived from the Attitudes Toward Spanking scale (ATS). The main “predictors” were: perceived injunctive norms (i.e., perceived approval of CP by professionals; and by family and friends), perceived descriptive norms of family and friends regarding CP, and expected outcomes of CP use. We used multivariate OLS models to regress ATS scores on the predictor variables for each subset of parents based on their chosen professional source of advice. Perceived approval of CP by professionals was the strongest predictor of parental attitudes supportive of CP, except for those seeking advice from MHPs. Perceived injunctive and descriptive norms of family and friends were important, but only for those seeking advice from pediatricians or religious leaders. Positive expected outcomes of CP mattered, but only for those seeking advice from religious leaders or MHPs. In conclusion, the strength and relevance of variables predicting attitudes toward CP varied according to the professional from which the parent was most likely to seek advice. PMID:28529440

Intra-individual variability as a predictor of learning

Directory of Open Access Journals (Sweden)

Matija Svetina

2004-05-01

Full Text Available Learning is one of the most important aspects of children's behaviour. A new theory that emerged from evolutionary principles and information-processing models assumes learning to be run by two basic mechanisms: variability and selection. The theory is based on the underlying assumption that intra-individual variability of strategies that children use to solve a problem, is a core mechanism of learning change. This assumption was tested in the case of multiple classification (MC task. 30 6-year-old children were tested for intelligence, short-term memory, and MC. Procedure followed classical pre-test/learning/post-test scheme. Amount of learning was measured through percentage of correct answers before and after learning sessions, whereas intra-individual variability was assessed through children's explanations of their answers on MC problems. The results yielded intra-individual variability to explain learning changes beyond inter-individual differences in intelligence or short-term memory. Although the results rose some new questions to be considered in further research, the data supported the hypothesis of intra-individual variability as predictor of learning change.

Predictor Variables for Marathon Race Time in Recreational Female Runners

OpenAIRE

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-varia...

Standardized FDG uptake as a prognostic variable and as a predictor of incomplete cytoreduction in primary advanced ovarian cancer

DEFF Research Database (Denmark)

Risum, Signe; Jakobsen, Annika Loft; Høgdall, Claus

2011-01-01

Abstract Introduction. In patients with advanced ovarian cancer undergoing preoperative PET/CT, we investigated the prognostic value of SUV in the primary tumor and we evaluated the value of SUV for predicting incomplete primary cytoreduction (macroscopic residual tumor). Material and methods. From...... debulking (no macroscopic residual tumor); median SUV(max) was 13.5 (range 2.5-39.0). Median follow-up was 30.2 months. At follow-up 57% (34/60) were alive and 43% (26/60) had died from ovarian cancer. SUV(max) in patients alive was not statistically different from SUV(max) in dead patients (p=0.......69), and SUV(max) was not correlated with the amount of residual tumor after surgery (p=0.19). Using univariate Cox regression analysis, residual tumor was a significant prognostic variable (p=0.001); SUV(max) was not a statistically significant prognostic variable (p=0.86). Discussion. FDG uptake (SUV...

Predictor variables for a half marathon race time in recreational male runners.

Science.gov (United States)

Rüst, Christoph Alexander; Knechtle, Beat; Knechtle, Patrizia; Barandun, Ursula; Lepers, Romuald; Rosemann, Thomas

2011-01-01

The aim of this study was to investigate predictor variables of anthropometry, training, and previous experience in order to predict a half marathon race time for future novice recreational male half marathoners. Eighty-four male finishers in the 'Half Marathon Basel' completed the race distance within (mean and standard deviation, SD) 103.9 (16.5) min, running at a speed of 12.7 (1.9) km/h. After multivariate analysis of the anthropometric characteristics, body mass index (r = 0.56), suprailiacal (r = 0.36) and medial calf skin fold (r = 0.53) were related to race time. For the variables of training and previous experience, speed in running of the training sessions (r = -0.54) were associated with race time. After multivariate analysis of both the significant anthropometric and training variables, body mass index (P = 0.0150) and speed in running during training (P = 0.0045) were related to race time. Race time in a half marathon might be partially predicted by the following equation (r(2) = 0.44): Race time (min) = 72.91 + 3.045 * (body mass index, kg/m(2)) -3.884 * (speed in running during training, km/h) for recreational male runners. To conclude, variables of both anthropometry and training were related to half marathon race time in recreational male half marathoners and cannot be reduced to one single predictor variable.

Parental Decisional Regret after Primary Distal Hypospadias Repair: Family and Surgery Variables, and Repair Outcomes.

Science.gov (United States)

Ghidini, Filippo; Sekulovic, Sasa; Castagnetti, Marco

2016-03-01

Decisional regret is defined as distress after making a health care choice and can be an issue for parents electing distal hypospadias repair for their sons. We assessed the influence on decisional regret of variables related to the family, surgery and outcomes. Charts for 372 patients undergoing primary distal hypospadias repair between 2005 and 2012 were reviewed, and validated questionnaires, including the Decisional Regret Scale, Pediatric Penile Perception Score and Dysfunctional Voiding and Incontinence Scoring System, were administered to parents. Data were available for 172 of 372 families (response rate 46.2%). Of 323 parents 128 (39.6%) presented with moderately strong decisional regret, with good agreement within couples. Predictors of decisional regret included intermediate parental educational level (OR 3.19, 95% CI 1.52-6.69), patient not being the first born (OR 2.01, 95% CI 1.07-3.78), family history of hypospadias (OR 4.42, 95% CI 1.96-9.97), initial desire to avoid surgery (OR 2.07, 95% CI 1.04-4.12), younger age at followup (OR 0.81, 95% CI 0.72-0.91), presence of lower urinary tract symptoms (OR 4.92, 95% CI 1.53-15.81) and lower Pediatric Penile Perception Score (OR 0.86, 95% CI 0.75-0.99). Decisional regret was unrelated to parental desire to avoid circumcision, surgical variables, development of complications and duration of followup. Decisional regret is a problem in a significant proportion of parents electing distal hypospadias repair for their sons. In our experience family variables seemed to be predictors of decisional regret, while surgical variables did not. Predictors of decisional regret included worse parental perception of penile appearance and the presence of lower urinary tract symptoms. However, the latter could be unrelated to surgery. Irrespective of the duration of followup, decisional regret seems decreased in parents of older patients. Copyright © 2016 American Urological Association Education and Research, Inc

The behaviour of random forest permutation-based variable importance measures under predictor correlation.

Science.gov (United States)

Nicodemus, Kristin K; Malley, James D; Strobl, Carolin; Ziegler, Andreas

2010-02-27

Random forests (RF) have been increasingly used in applications such as genome-wide association and microarray studies where predictor correlation is frequently observed. Recent works on permutation-based variable importance measures (VIMs) used in RF have come to apparently contradictory conclusions. We present an extended simulation study to synthesize results. In the case when both predictor correlation was present and predictors were associated with the outcome (HA), the unconditional RF VIM attributed a higher share of importance to correlated predictors, while under the null hypothesis that no predictors are associated with the outcome (H0) the unconditional RF VIM was unbiased. Conditional VIMs showed a decrease in VIM values for correlated predictors versus the unconditional VIMs under HA and was unbiased under H0. Scaled VIMs were clearly biased under HA and H0. Unconditional unscaled VIMs are a computationally tractable choice for large datasets and are unbiased under the null hypothesis. Whether the observed increased VIMs for correlated predictors may be considered a "bias" - because they do not directly reflect the coefficients in the generating model - or if it is a beneficial attribute of these VIMs is dependent on the application. For example, in genetic association studies, where correlation between markers may help to localize the functionally relevant variant, the increased importance of correlated predictors may be an advantage. On the other hand, we show examples where this increased importance may result in spurious signals.

Predictor variables for marathon race time in recreational female runners.

Science.gov (United States)

Schmid, Wiebke; Knechtle, Beat; Knechtle, Patrizia; Barandun, Ursula; Rüst, Christoph Alexander; Rosemann, Thomas; Lepers, Romuald

2012-06-01

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. 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. 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. 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.

Reliability, reference values and predictor variables of the ulnar sensory nerve in disease free adults.

Science.gov (United States)

Ruediger, T M; Allison, S C; Moore, J M; Wainner, R S

2014-09-01

The purposes of this descriptive and exploratory study were to examine electrophysiological measures of ulnar sensory nerve function in disease free adults to determine reliability, determine reference values computed with appropriate statistical methods, and examine predictive ability of anthropometric variables. Antidromic sensory nerve conduction studies of the ulnar nerve using surface electrodes were performed on 100 volunteers. Reference values were computed from optimally transformed data. Reliability was computed from 30 subjects. Multiple linear regression models were constructed from four predictor variables. Reliability was greater than 0.85 for all paired measures. Responses were elicited in all subjects; reference values for sensory nerve action potential (SNAP) amplitude from above elbow stimulation are 3.3 μV and decrement across-elbow less than 46%. No single predictor variable accounted for more than 15% of the variance in the response. Electrophysiologic measures of the ulnar sensory nerve are reliable. Absent SNAP responses are inconsistent with disease free individuals. Reference values recommended in this report are based on appropriate transformations of non-normally distributed data. No strong statistical model of prediction could be derived from the limited set of predictor variables. Reliability analyses combined with relatively low level of measurement error suggest that ulnar sensory reference values may be used with confidence. Copyright © 2014 Elsevier Masson SAS. All rights reserved.

Distribution and predictors of wing shape and size variability in three sister species of solitary bees.

Directory of Open Access Journals (Sweden)

Simon Dellicour

Full Text Available Morphological traits can be highly variable over time in a particular geographical area. Different selective pressures shape those traits, which is crucial in evolutionary biology. Among these traits, insect wing morphometry has already been widely used to describe phenotypic variability at the inter-specific level. On the contrary, fewer studies have focused on intra-specific wing morphometric variability. Yet, such investigations are relevant to study potential convergences of variation that could highlight micro-evolutionary processes. The recent sampling and sequencing of three solitary bees of the genus Melitta across their entire species range provides an excellent opportunity to jointly analyse genetic and morphometric variability. In the present study, we first aim to analyse the spatial distribution of the wing shape and centroid size (used as a proxy for body size variability. Secondly, we aim to test different potential predictors of this variability at both the intra- and inter-population levels, which includes genetic variability, but also geographic locations and distances, elevation, annual mean temperature and precipitation. The comparison of spatial distribution of intra-population morphometric diversity does not reveal any convergent pattern between species, thus undermining the assumption of a potential local and selective adaptation at the population level. Regarding intra-specific wing shape differentiation, our results reveal that some tested predictors, such as geographic and genetic distances, are associated with a significant correlation for some species. However, none of these predictors are systematically identified for the three species as an important factor that could explain the intra-specific morphometric variability. As a conclusion, for the three solitary bee species and at the scale of this study, our results clearly tend to discard the assumption of the existence of a common pattern of intra-specific signal

Distribution and predictors of wing shape and size variability in three sister species of solitary bees.

Science.gov (United States)

Dellicour, Simon; Gerard, Maxence; Prunier, Jérôme G; Dewulf, Alexandre; Kuhlmann, Michael; Michez, Denis

2017-01-01

Morphological traits can be highly variable over time in a particular geographical area. Different selective pressures shape those traits, which is crucial in evolutionary biology. Among these traits, insect wing morphometry has already been widely used to describe phenotypic variability at the inter-specific level. On the contrary, fewer studies have focused on intra-specific wing morphometric variability. Yet, such investigations are relevant to study potential convergences of variation that could highlight micro-evolutionary processes. The recent sampling and sequencing of three solitary bees of the genus Melitta across their entire species range provides an excellent opportunity to jointly analyse genetic and morphometric variability. In the present study, we first aim to analyse the spatial distribution of the wing shape and centroid size (used as a proxy for body size) variability. Secondly, we aim to test different potential predictors of this variability at both the intra- and inter-population levels, which includes genetic variability, but also geographic locations and distances, elevation, annual mean temperature and precipitation. The comparison of spatial distribution of intra-population morphometric diversity does not reveal any convergent pattern between species, thus undermining the assumption of a potential local and selective adaptation at the population level. Regarding intra-specific wing shape differentiation, our results reveal that some tested predictors, such as geographic and genetic distances, are associated with a significant correlation for some species. However, none of these predictors are systematically identified for the three species as an important factor that could explain the intra-specific morphometric variability. As a conclusion, for the three solitary bee species and at the scale of this study, our results clearly tend to discard the assumption of the existence of a common pattern of intra-specific signal/structure within the

A study of the effect of measurement error in predictor variables in nondestructive assay

International Nuclear Information System (INIS)

Burr, Tom L.; Knepper, Paula L.

2000-01-01

It is not widely known that ordinary least squares estimates exhibit bias if there are errors in the predictor variables. For example, enrichment measurements are often fit to two predictors: Poisson-distributed count rates in the region of interest and in the background. Both count rates have at least random variation due to counting statistics. Therefore, the parameter estimates will be biased. In this case, the effect of bias is a minor issue because there is almost no interest in the parameters themselves. Instead, the parameters will be used to convert count rates into estimated enrichment. In other cases, this bias source is potentially more important. For example, in tomographic gamma scanning, there is an emission stage which depends on predictors (the 'system matrix') that are estimated with error during the transmission stage. In this paper, we provide background information for the impact and treatment of errors in predictors, present results of candidate methods of compensating for the effect, review some of the nondestructive assay situations where errors in predictors occurs, and provide guidance for when errors in predictors should be considered in nondestructive assay

Genetic and Psychosocial Predictors of Aggression: Variable Selection and Model Building With Component-Wise Gradient Boosting.

Science.gov (United States)

Suchting, Robert; Gowin, Joshua L; Green, Charles E; Walss-Bass, Consuelo; Lane, Scott D

2018-01-01

Rationale : Given datasets with a large or diverse set of predictors of aggression, machine learning (ML) provides efficient tools for identifying the most salient variables and building a parsimonious statistical model. ML techniques permit efficient exploration of data, have not been widely used in aggression research, and may have utility for those seeking prediction of aggressive behavior. Objectives : The present study examined predictors of aggression and constructed an optimized model using ML techniques. Predictors were derived from a dataset that included demographic, psychometric and genetic predictors, specifically FK506 binding protein 5 (FKBP5) polymorphisms, which have been shown to alter response to threatening stimuli, but have not been tested as predictors of aggressive behavior in adults. Methods : The data analysis approach utilized component-wise gradient boosting and model reduction via backward elimination to: (a) select variables from an initial set of 20 to build a model of trait aggression; and then (b) reduce that model to maximize parsimony and generalizability. Results : From a dataset of N = 47 participants, component-wise gradient boosting selected 8 of 20 possible predictors to model Buss-Perry Aggression Questionnaire (BPAQ) total score, with R 2 = 0.66. This model was simplified using backward elimination, retaining six predictors: smoking status, psychopathy (interpersonal manipulation and callous affect), childhood trauma (physical abuse and neglect), and the FKBP5_13 gene (rs1360780). The six-factor model approximated the initial eight-factor model at 99.4% of R 2 . Conclusions : Using an inductive data science approach, the gradient boosting model identified predictors consistent with previous experimental work in aggression; specifically psychopathy and trauma exposure. Additionally, allelic variants in FKBP5 were identified for the first time, but the relatively small sample size limits generality of results and calls for

Occurrence and predictors of pressure ulcers during primary in-patient spinal cord injury rehabilitation

NARCIS (Netherlands)

Verschueren, J. H. M.; Post, M. W. M.; de Groot, S.; van der Woude, L. H. V.; van Asbeck, F. W. A.; Rol, M.

Study design: Multicenter prospective cohort study. Objectives: To determine the occurrence and predictors for pressure ulcers in patients with spinal cord injury (SCI) during primary in-patient rehabilitation. Setting: Eight Dutch rehabilitation centres with specialized SCI units. Methods: The

Predictor variables for half marathon race time in recreational female runners

OpenAIRE

Knechtle, Beat; Knechtle, Patrizia; Barandun, Ursula; Rosemann, Thomas; Lepers, Romuald

2011-01-01

INTRODUCTION: The relationship between skin-fold thickness and running performance has been investigated from 100 m to the marathon distance, except the half marathon distance. OBJECTIVE: To investigate whether anthropometry characteristics or training practices were related to race time in 42 recreational female half marathoners to determine the predictor variables of half-marathon race time and to inform future novice female half marathoners. METHODS: Observational field study at the ‘Half ...

Primary caregivers of schizophrenia outpatients: burden and predictor variables.

Science.gov (United States)

Grandón, Pamela; Jenaro, Cristina; Lemos, Serafín

2008-04-15

This article explores family burden in relation to relatives' coping strategies and social networks, as well as in relation to the patients' severity of positive and negative symptoms. Data on the severity of symptoms (Positive and Negative Syndrome Scale for Schizophrenia [PANSS]), social functioning (Social Functioning Scale [SFS]), caregivers burden (Interview on Objective and Subjective Family Burden or Entrevista de Carga Familiar Objetiva y Subjetiva [ECFOS]), coping skills (Family Coping Questionnaire [FCQ]), and social support (Social Network Questionnaire [SNQ]) were gathered from a randomized sample of 101 Chilean outpatients and their primary caregivers, mostly mothers. Low levels of burden were typically found, with the exception of moderate levels on general concerns for the ill relative. A hierarchical regression analysis with four blocks showed that clinical characteristics, such as higher frequency of relapses, more positive symptoms and lower independence-performance, together with lower self-control attributed to the patient, decrease in social interests, and less affective support, predict burden. The results support the relevance of psychoeducational interventions where families' needs are addressed.

Predictor variables for a half marathon race time in recreational male runners

Directory of Open Access Journals (Sweden)

Rüst CA

2011-08-01

Full Text Available Christoph Alexander Rüst1, Beat Knechtle1,2, Patrizia Knechtle2, Ursula Barandun1, Romuald Lepers3, Thomas Rosemann11Institute of General Practice and Health Services Research, University of Zurich, Zurich, Switzerland; 2Gesundheitszentrum St Gallen, St Gallen, Switzerland; 3INSERM U887, University of Burgundy, Faculty of Sport Sciences, Dijon, FranceAbstract: The aim of this study was to investigate predictor variables of anthropometry, training, and previous experience in order to predict a half marathon race time for future novice recreational male half marathoners. Eighty-four male finishers in the ‘Half Marathon Basel’ completed the race distance within (mean and standard deviation, SD 103.9 (16.5 min, running at a speed of 12.7 (1.9 km/h. After multivariate analysis of the anthropometric characteristics, body mass index (r = 0.56, suprailiacal (r = 0.36 and medial calf skin fold (r = 0.53 were related to race time. For the variables of training and previous experience, speed in running of the training sessions (r = –0.54 were associated with race time. After multivariate analysis of both the significant anthropometric and training variables, body mass index (P = 0.0150 and speed in running during training (P = 0.0045 were related to race time. Race time in a half marathon might be partially predicted by the following equation (r2 = 0.44: Race time (min = 72.91 + 3.045 * (body mass index, kg/m2 –3.884 * (speed in running during training, km/h for recreational male runners. To conclude, variables of both anthropometry and training were related to half marathon race time in recreational male half marathoners and cannot be reduced to one single predictor variable.Keywords: anthropometry, body fat, skin-folds, training, endurance

Genetic and Psychosocial Predictors of Aggression: Variable Selection and Model Building With Component-Wise Gradient Boosting

Directory of Open Access Journals (Sweden)

Robert Suchting

2018-05-01

Full Text Available Rationale: Given datasets with a large or diverse set of predictors of aggression, machine learning (ML provides efficient tools for identifying the most salient variables and building a parsimonious statistical model. ML techniques permit efficient exploration of data, have not been widely used in aggression research, and may have utility for those seeking prediction of aggressive behavior.Objectives: The present study examined predictors of aggression and constructed an optimized model using ML techniques. Predictors were derived from a dataset that included demographic, psychometric and genetic predictors, specifically FK506 binding protein 5 (FKBP5 polymorphisms, which have been shown to alter response to threatening stimuli, but have not been tested as predictors of aggressive behavior in adults.Methods: The data analysis approach utilized component-wise gradient boosting and model reduction via backward elimination to: (a select variables from an initial set of 20 to build a model of trait aggression; and then (b reduce that model to maximize parsimony and generalizability.Results: From a dataset of N = 47 participants, component-wise gradient boosting selected 8 of 20 possible predictors to model Buss-Perry Aggression Questionnaire (BPAQ total score, with R2 = 0.66. This model was simplified using backward elimination, retaining six predictors: smoking status, psychopathy (interpersonal manipulation and callous affect, childhood trauma (physical abuse and neglect, and the FKBP5_13 gene (rs1360780. The six-factor model approximated the initial eight-factor model at 99.4% of R2.Conclusions: Using an inductive data science approach, the gradient boosting model identified predictors consistent with previous experimental work in aggression; specifically psychopathy and trauma exposure. Additionally, allelic variants in FKBP5 were identified for the first time, but the relatively small sample size limits generality of results and calls for

Patient-centered variables in primary and team nursing.

Science.gov (United States)

Hamera, E; O'Connell, K A

1981-03-01

Patient-centered variables and their relationship to primary and team nursing have rarely been studied. In the present study the investigation focused on the following patient-centered variables: nurturance received, patient involvement, and frequency of nurse-patient contacts. Baseline observational data were collected on 12 adult medical patients experiencing team nursing care. A primary nursing care approach was then implemented on the same nursing unit, and 6 months later 12 patients were observed under this system. Patients were directly observed 24 hours a day for 5 days of hospitalization and audiotaped, using a specimen record method. This method produced transcripts that were coded for nurturance, involvement, and nurse-patient contacts. Results of the study showed that there were no differences between primary and team nursing care groups in the number of contacts, nurturance, or patient involvement with all nursing personnel or with professional nurses. However, when the primary group was adjusted to include only those patients for whom primary nursing care was fully implemented, the primary group received more nurturance (p less than .05) and had a tendency to be more active involved than did the team group (p less than .10). These findings indicate that the institution of primary nursing care is related to increased quality of nursing care.

Sleep characteristics as predictor variables of stress systems markers in insomnia disorder.

Science.gov (United States)

Floam, Samantha; Simpson, Norah; Nemeth, Emese; Scott-Sutherland, Jennifer; Gautam, Shiva; Haack, Monika

2015-06-01

This study investigates the extent to which sleep characteristics serve as predictor variables for inflammatory, hypothalamic-pituitary-adrenal and autonomic systems markers. Twenty-nine participants with a diagnosis of insomnia disorder based on the Diagnostic Statistical Manual of Mental Disorders, Fifth Edition (age 25.3 ± 1.6 years, insomnia duration 6.6 ± 0.8 years) and 19 healthy control sleepers (age 25.4 ± 1.4 years) underwent a 2-week at-home evaluation keeping a sleep diary and wearing an actigraph, followed by a visit to the Research Center to measure blood pressure, and collect blood and urine samples. The actigraphy- and diary-based variables of sleep duration, sleep-onset latency, wake after sleep onset and sleep fragmentation/number of night-time awakenings were averaged and entered as dependent variables in regression analyses. Composite scores were calculated for the autonomic (blood pressure, norepinephrine), inflammatory (monocyte counts, interleukin-6, C-reactive protein) and hypothalamic-pituitary-adrenal systems (cortisol), and used as predictor variables in regression models. Compared with controls, individuals with insomnia had a shorter sleep duration (P insomnia disorder, cortisol is upregulated and associated with actigraphy- and diary-based wake after sleep onset, suggesting that wake after sleep onset may serve as a marker to identify individuals at increased risks for disorders associated with a hyperactive hypothalamic-pituitary-adrenal system. The absence of autonomic and pro-inflammatory changes (interleukin-6, C-reactive protein), despite a substantial decrease in actigraphic sleep duration, may relate to a higher resilience to the adverse biological consequences of insomnia in this young age group. © 2014 European Sleep Research Society.

Achievable data rate in spectrum-sharing channels with variable-rate variable-power primary users

KAUST Repository

Yang, Yuli; Aï ssa, Sonia

2012-01-01

In this work, we propose a transmission strategy for secondary users (SUs) within a cognitive radio network where primary users (PUs) exploit variable-rate variable-power modulation. By monitoring the PU's transmissions, the SU adjusts its transmit

Predictors of long-term change of a physical activity promotion programme in primary care.

Science.gov (United States)

Sanchez, Alvaro; Grandes, Gonzalo; Ortega Sánchez-Pinilla, Ricardo; Torcal, Jesus; Montoya, Imanol

2014-02-04

Further research is needed to improve the evidence regarding determinants of physical activity (PA) as a crucial step to plan higher effective intervention strategies. The goal of the present study is to identify socio-demographic and clinical characteristics of primary care (PHC) insufficiently active patients that are associated with longitudinal changes in the level of physical activity. Longitudinal analysis of baseline socio-demographic and clinical predictors of physical activity change in insufficiently active PHC patients who participated in a PA-promoting multi-centre randomized clinical trial conducted from October 2003 through March 2006. The primary outcome measure was the self-reported physical activity assessed with the 7-day Physical Activity Recall (PAR), at baseline, 6, 12 and 24 months. Baseline covariates included sex, age, social class, anthropometric measures and other cardiovascular risk factors or associated diseases (Diabetes, HTA, tobacco use, etc.), and stage of readiness to change PA. Generalized linear mixed models were used to estimate longitudinal association of studied variables on PA change over the three follow-up measurements. A total of 3691 patients (85% of the 4317 recruited in the trial) with at least one follow-up measurement were included in the longitudinal analysis. At baseline, analysed patients (mean age: 50.6 years; 64.6% women) devoted 34.7 minutes and 2.36 metabolic equivalent hours per week (MET.h/week) to moderate and vigorous physical activity. Older age, male gender, higher social class, lower BMI, diagnosis of diabetes or hypertension, and measurement season were significant predictors of PA longitudinal change. The effect of baseline readiness to change on PA dose was modified by time, showing a positive gradient in favour of those with more readiness to change that increases significantly at 12 and 24 months (p-value interaction < .0001). Identified baseline characteristics such as readiness to change and

Prevalence, predictors, and perceived effectiveness of complementary, alternative and integrative medicine in adult-onset primary dystonia.

Science.gov (United States)

Fleming, Brandy M; Schwab, Emiko L; Nouer, Simonne S; Wan, Jim Y; LeDoux, Mark S

2012-09-01

Complementary and Alternative Medicine (CAM) use is on the rise in both the US and Europe, despite questions about its safety and effectiveness, and lack of national standards. We aimed to determine the prevalence and predictors of CAM and integrative medicine use (CAM-I) and perceived effectiveness compared to the standard treatment of botulinum toxin injections in patients with adult-onset primary dystonia. This was a retrospective questionnaire study of 389 dystonia patients examining the effects age, gender, education level and number of affected anatomical regions on botulinum toxin and CAM-I use and their perceived effectiveness. 53% (208) of patients reported CAM-I use, while 90% (349) used the standard treatment (botulinum toxin), and 48% used both. Education was the only significant predictor of CAM-I use - individuals with bachelor's degrees were more likely to try CAM-I whereas those with high school diplomas were less likely. The mean effectiveness rate for botulinum toxin injections (59%) significantly exceeded that for CAM-I (28%, p effectiveness and expense of CAM-I treatments for dystonia and other neurological disorders given that CAM-I use is steadily increasing, there is great variability in what is classified as CAM-I, and the effectiveness of some modalities may be significantly less than conventional medical treatments. Copyright © 2012 Elsevier Ltd. All rights reserved.

Socioeconomic, emotional, and physical execution variables as predictors of cognitive performance in a Spanish sample of middle-aged and older community-dwelling participants.

Science.gov (United States)

González, Mari Feli; Facal, David; Juncos-Rabadán, Onésimo; Yanguas, Javier

2017-10-01

Cognitive performance is not easily predicted, since different variables play an important role in the manifestation of age-related declines. The objective of this study is to analyze the predictors of cognitive performance in a Spanish sample over 50 years from a multidimensional perspective, including socioeconomic, affective, and physical variables. Some of them are well-known predictors of cognition and others are emergent variables in the study of cognition. The total sample, drawn from the "Longitudinal Study Aging in Spain (ELES)" project, consisted of 832 individuals without signs of cognitive impairment. Cognitive function was measured with tests evaluating episodic and working memory, visuomotor speed, fluency, and naming. Thirteen independent variables were selected as predictors belonging to socioeconomic, emotional, and physical execution areas. Multiple linear regressions, following the enter method, were calculated for each age group in order to study the influence of these variables in cognitive performance. Education is the variable which best predicts cognitive performance in the 50-59, 60-69, and 70-79 years old groups. In the 80+ group, the best predictor is objective economic status and education does not enter in the model. Age-related decline can be modified by the influence of educational and socioeconomic variables. In this context, it is relevant to take into account how easy is to modify certain variables, compared to others which depend on each person's life course.

Predictor variables for a half marathon race time in recreational male runners

OpenAIRE

Rüst, C A; Knechtle, B; Knechtle, P; Barandun, U; Lepers, R; Rosemann, T

2011-01-01

Christoph Alexander Rüst1, Beat Knechtle1,2, Patrizia Knechtle2, Ursula Barandun1, Romuald Lepers3, Thomas Rosemann11Institute of General Practice and Health Services Research, University of Zurich, Zurich, Switzerland; 2Gesundheitszentrum St Gallen, St Gallen, Switzerland; 3INSERM U887, University of Burgundy, Faculty of Sport Sciences, Dijon, FranceAbstract: The aim of this study was to investigate predictor variables of anthropometry, training, and previous experience in order to ...

Predictor variables of addiction to training in Spanish master athletes

Directory of Open Access Journals (Sweden)

Antonio Zarauz Sancho

2013-07-01

Full Text Available In the last fifteen years has been in Spain a very significant increase in people over 35 years practicing Athletics at federative level. The aim of this study is to know their addiction to training and relationships with different variables of this training and athletic history. Also, get a sufficiently robust predictive models by sex, taking their addiction to these variables. Valuable descriptive data and training habits and athletic history were obtained, and that the addiction in Spanish master athletes have average levels, with the pleasure and relaxation subscale (positive and desirable that obtains higher values, and abstinence and craving subscale (negative and undesirable which gets lower. Both correlations as in the regression analysis, only one variant has been analyzed to be related or be predictive of addiction or any of its subscales. Due to these results it is necessary to further investigate this population in future research about your addiction to training including psychological variables as predictors of it (motivation, perception and beliefs about the causes of success, intrinsic satisfaction, etc. to explainmore fully his addiction to training, especially in the case of men.

Spatial modelling of marine organisms in Forsmark and Oskarshamn. Including calculation of physical predictor variables

Energy Technology Data Exchange (ETDEWEB)

Carlen, Ida; Nikolopoulos, Anna; Isaeus, Martin (AquaBiota Water Research, Stockholm (SE))

2007-06-15

GIS grids (maps) of marine parameters were created using point data from previous site investigations in the Forsmark and Oskarshamn areas. The proportion of global radiation reaching the sea bottom in Forsmark and Oskarshamn was calculated in ArcView, using Secchi depth measurements and the digital elevation models for the respective area. The number of days per year when the incoming light exceeds 5 MJ/m2 at the bottom was then calculated using the result of the previous calculations together with measured global radiation. Existing modelled grid-point data on bottom and pelagic temperature for Forsmark were interpolated to create surface covering grids. Bottom and pelagic temperature grids for Oskarshamn were calculated using point measurements to achieve yearly averages for a few points and then using regressions with existing grids to create new maps. Phytoplankton primary production in Forsmark was calculated using point measurements of chlorophyll and irradiance, and a regression with a modelled grid of Secchi depth. Distribution of biomass of macrophyte communities in Forsmark and Oskarshamn was calculated using spatial modelling in GRASP, based on field data from previous surveys. Physical parameters such as those described above were used as predictor variables. Distribution of biomass of different functional groups of fish in Forsmark was calculated using spatial modelling based on previous surveys and with predictor variables such as physical parameters and results from macrophyte modelling. All results are presented as maps in the report. The quality of the modelled predictions varies as a consequence of the quality and amount of the input data, the ecology and knowledge of the predicted phenomena, and by the modelling technique used. A substantial part of the variation is not described by the models, which should be expected for biological modelling. Therefore, the resulting grids should be used with caution and with this uncertainty kept in mind. All

Spatial modelling of marine organisms in Forsmark and Oskarshamn. Including calculation of physical predictor variables

International Nuclear Information System (INIS)

Carlen, Ida; Nikolopoulos, Anna; Isaeus, Martin

2007-06-01

GIS grids (maps) of marine parameters were created using point data from previous site investigations in the Forsmark and Oskarshamn areas. The proportion of global radiation reaching the sea bottom in Forsmark and Oskarshamn was calculated in ArcView, using Secchi depth measurements and the digital elevation models for the respective area. The number of days per year when the incoming light exceeds 5 MJ/m2 at the bottom was then calculated using the result of the previous calculations together with measured global radiation. Existing modelled grid-point data on bottom and pelagic temperature for Forsmark were interpolated to create surface covering grids. Bottom and pelagic temperature grids for Oskarshamn were calculated using point measurements to achieve yearly averages for a few points and then using regressions with existing grids to create new maps. Phytoplankton primary production in Forsmark was calculated using point measurements of chlorophyll and irradiance, and a regression with a modelled grid of Secchi depth. Distribution of biomass of macrophyte communities in Forsmark and Oskarshamn was calculated using spatial modelling in GRASP, based on field data from previous surveys. Physical parameters such as those described above were used as predictor variables. Distribution of biomass of different functional groups of fish in Forsmark was calculated using spatial modelling based on previous surveys and with predictor variables such as physical parameters and results from macrophyte modelling. All results are presented as maps in the report. The quality of the modelled predictions varies as a consequence of the quality and amount of the input data, the ecology and knowledge of the predicted phenomena, and by the modelling technique used. A substantial part of the variation is not described by the models, which should be expected for biological modelling. Therefore, the resulting grids should be used with caution and with this uncertainty kept in mind. All

Treatment processes and demographic variables as predictors of dropout from trauma-focused cognitive behavioral therapy (TF-CBT) for youth.

Science.gov (United States)

Yasinski, Carly; Hayes, Adele M; Alpert, Elizabeth; McCauley, Thomas; Ready, C Beth; Webb, Charles; Deblinger, Esther

2018-05-22

Premature dropout is a significant concern in trauma-focused psychotherapy for youth. Previous studies have primarily examined pre-treatment demographic and symptom-related predictors of dropout, but few consistent findings have been reported. The current study examined demographic, symptom, and in-session process variables as predictors of dropout from Trauma-Focused Cognitive Behavioral Therapy (TF-CBT) for youth. Participants were a diverse sample of Medicaid-eligible youth (ages 7-17; n = 108) and their nonoffending caregivers (n = 86), who received TF-CBT through an effectiveness study in a community setting. In-session process variables were coded from audio-recorded sessions, and these and pre-treatment demographic variables and symptom levels were examined as predictors of dropout prior to receiving an adequate dose of TF-CBT (parents or relatives. No other demographic or symptom-related factors predicted dropout. These findings highlight the importance of addressing avoidance and therapeutic relationship difficulties in early sessions of TF-CBT to help reduce dropout, and they have implications for improving efforts to disseminate evidence-based trauma-focused treatments. Copyright © 2018 Elsevier Ltd. All rights reserved.

Moderation analysis with missing data in the predictors.

Science.gov (United States)

Zhang, Qian; Wang, Lijuan

2017-12-01

The most widely used statistical model for conducting moderation analysis is the moderated multiple regression (MMR) model. In MMR modeling, missing data could pose a challenge, mainly because the interaction term is a product of two or more variables and thus is a nonlinear function of the involved variables. In this study, we consider a simple MMR model, where the effect of the focal predictor X on the outcome Y is moderated by a moderator U. The primary interest is to find ways of estimating and testing the moderation effect with the existence of missing data in X. We mainly focus on cases when X is missing completely at random (MCAR) and missing at random (MAR). Three methods are compared: (a) Normal-distribution-based maximum likelihood estimation (NML); (b) Normal-distribution-based multiple imputation (NMI); and (c) Bayesian estimation (BE). Via simulations, we found that NML and NMI could lead to biased estimates of moderation effects under MAR missingness mechanism. The BE method outperformed NMI and NML for MMR modeling with missing data in the focal predictor, missingness depending on the moderator and/or auxiliary variables, and correctly specified distributions for the focal predictor. In addition, more robust BE methods are needed in terms of the distribution mis-specification problem of the focal predictor. An empirical example was used to illustrate the applications of the methods with a simple sensitivity analysis. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Predictors for oral cancer in Brazil

OpenAIRE

Isabella Lima Arrais RIBEIRO; Johnys Berton Medeiros da NÓBREGA; Ana Maria Gondim VALENÇA; Ricardo Dias de CASTRO

2017-01-01

Abstract Introduction The incidence of lip, oral cavity and oropharynx cancer in Brazil is one of the highest worldwide. Objective This study aimed to identify predictors for oral cancer in Brazil between 2010 and 2013. Method Through a time series study in which 14,959 primary head and neck cancer diagnoses were evaluated. The variables of interest were gender, age, race, education level, family history of cancer, alcohol consumption, smoking, and previous cancer diagnosis. The outcome va...

Bagging Weak Predictors

DEFF Research Database (Denmark)

Lukas, Manuel; Hillebrand, Eric

Relations between economic variables can often not be exploited for forecasting, suggesting that predictors are weak in the sense that estimation uncertainty is larger than bias from ignoring the relation. In this paper, we propose a novel bagging predictor designed for such weak predictor variab...

Psychosocial Variables as Predictors of School Adjustment of Gifted Students with Learning Disabilities in Nigeria

Science.gov (United States)

Fakolade, O. A.; Oyedokun, S. O.

2015-01-01

The paper considered several psychosocial variables as predictors of school adjustment of 40 gifted students with learning disabilities in Junior Secondary School in Ikenne Local Government Council Area of Ogun State, Nigeria. Purposeful random sampling was employed to select four schools from 13 junior secondary schools in the area, six…

Identification of imaging predictors discriminating different primary liver tumours in patients with chronic liver disease on gadoxetic acid-enhanced MRI: a classification tree analysis

International Nuclear Information System (INIS)

Park, Hyun Jeong; Jang, Kyung Mi; Kang, Tae Wook; Song, Kyoung Doo; Kim, Seong Hyun; Kim, Young Kon; Cha, Dong Ik; Kim, Joungyoun; Goo, Juna

2016-01-01

To identify predictors for the discrimination of intrahepatic cholangiocarcinoma (IMCC) and combined hepatocellular-cholangiocarcinoma (CHC) from hepatocellular carcinoma (HCC) for primary liver cancers on gadoxetic acid-enhanced MRI among high-risk chronic liver disease (CLD) patients using classification tree analysis (CTA). A total of 152 patients with histopathologically proven IMCC (n = 40), CHC (n = 24) and HCC (n = 91) were enrolled. Tumour marker and MRI variables including morphologic features, signal intensity, and enhancement pattern were used to identify tumours suspicious for IMCC and CHC using CTA. On CTA, arterial rim enhancement (ARE) was the initial splitting predictor for assessing the probability of tumours being IMCC or CHC. Of 43 tumours that were classified in a subgroup on CTA based on the presence of ARE, non-intralesional fat, and non-globular shape, 41 (95.3 %) were IMCCs (n = 29) or CHCs (n = 12). All 24 tumours showing fat on MRI were HCCs. The CTA model demonstrated sensitivity of 84.4 %, specificity of 97.8 %, and accuracy of 92.3 % for discriminating IMCCs and CHCs from HCCs. We established a simple CTA model for classifying a high-risk group of CLD patients with IMCC and CHC. This model may be useful for guiding diagnosis for primary liver cancers in patients with CLD. (orig.)

Personal And Organisational Variables As Predictors Of Unethical ...

African Journals Online (AJOL)

It was hypothesized that gender, family size, age, reward system, length of service and job security are not viable predictors of unethical behaviour in workplace environments. Results showed that gender, family size, job insecurity and perceived underpayment are viable predictors of unethical behaviour. Male employees ...

[Predictors of mean blood glucose control and its variability in diabetic hospitalized patients].

Science.gov (United States)

Sáenz-Abad, Daniel; Gimeno-Orna, José Antonio; Sierra-Bergua, Beatriz; Pérez-Calvo, Juan Ignacio

2015-01-01

This study was intended to assess the effectiveness and predictors factors of inpatient blood glucose control in diabetic patients admitted to medical departments. A retrospective, analytical cohort study was conducted on patients discharged from internal medicine with a diagnosis related to diabetes. Variables collected included demographic characteristics, clinical data and laboratory parameters related to blood glucose control (HbA1c, basal plasma glucose, point-of-care capillary glucose). The cumulative probability of receiving scheduled insulin regimens was evaluated using Kaplan-Meier analysis. Multivariate regression models were used to select predictors of mean inpatient glucose (MHG) and glucose variability (standard deviation [GV]). The study sample consisted of 228 patients (mean age 78.4 (SD 10.1) years, 51% women). Of these, 96 patients (42.1%) were treated with sliding-scale regular insulin only. Median time to start of scheduled insulin therapy was 4 (95% CI, 2-6) days. Blood glucose control measures were: MIG 181.4 (SD 41.7) mg/dL, GV 56.3 (SD 22.6). The best model to predict MIG (R(2): .376; P<.0001) included HbA1c (b=4.96; P=.011), baseline plasma glucose (b=.056; P=.084), mean capillary blood glucose in the first 24hours (b=.154; P<.0001), home treatment (versus oral agents) with basal insulin only (b=13.1; P=.016) or more complex (pre-mixed insulin or basal-bolus) regimens (b=19.1; P=.004), corticoid therapy (b=14.9; P=.002), and fasting on admission (b=10.4; P=.098). Predictors of inpatient blood glucose control which should be considered in the design of DM management protocols include home treatment, HbA1c, basal plasma glucose, mean blood glucose in the first 24hours, fasting, and corticoid therapy. Copyright © 2014 SEEN. Published by Elsevier España, S.L.U. All rights reserved.

Psychosocial predictors of the onset of anxiety disorders in women: Results from a prospective 3-year longitudinal study

Science.gov (United States)

Calkins, Amanda W.; Otto, Michael W.; Cohen, Lee S.; Soares, Claudio N.; Vitonis, Alison F.; Hearon, Bridget A.; Harlow, Bernard L.

2009-01-01

In a prospective, longitudinal, population-based study of 643 women participating in the Harvard Study of Moods and Cycles we examined whether psychosocial variables predicted a new or recurrent onset of an anxiety disorder. Presence of anxiety disorders was assessed every six months over three years via structured clinical interviews. Among individuals who had a new episode of anxiety, we confirmed previous findings that history of anxiety, increased anxiety sensitivity (the fear of anxiety related sensations), and increased neuroticism were significant predictors. We also found trend level support for assertiveness as a predictor of anxiety onset. However, of these variables, only history of anxiety and anxiety sensitivity provided unique prediction. We did not find evidence for negative life events as a predictor of onset of anxiety either alone or in interaction with other variables in a diathesis-stress model. These findings from a prospective longitudinal study are discussed in relation to the potential role of such predictors in primary or relapse prevention efforts. PMID:19699609

Variables that predict academic procrastination behavior in prospective primary school teachers

Directory of Open Access Journals (Sweden)

Asuman Seda SARACALOĞLU

2016-04-01

Full Text Available This study aimed to examine the variables predicting academic procrastination behavior of prospective primary school teachers and is conducted using the correlational survey model. The study group is composed of 294 undergraduate students studying primary school teaching programs in faculties of education at Adnan Menderes, Pamukkale, and Muğla Sıtkı Koçman Universities in Turkey. The data collection instruments used were the Procrastination Assessment Scale Students (PASS, Academic Self-Efficacy Scale (ASES, and Academic Motivation Scale (AMS. While analyzing the gathered data, descriptive analysis techniques were utilized. Moreover, while analyzing the data, power of variables namely reasons of academic procrastination, academic motivation, and academic efficacy to predict prospective primary school teachers’ academic procrastination tendencies were tested. For that purpose, stepwise regression analysis was employed. It was found that nearly half of the prospective primary school teachers displayed no academic procrastination behavior. Participants’ reasons for procrastination were fear of failure, laziness, taking risks, and rebellion against control. An average level significant correlation was found between participants’ academic procrastination and other variables. As a result, it was identified that prospective primary school teachers had less academic procrastination than reported in literature and laziness, fear of failure, academic motivation predicted academic procrastination.

Hypomineralized Second Primary Molars as Predictor of Molar Incisor Hypomineralization

Science.gov (United States)

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

Annual and short-term variability in primary productivity by phytoplankton and correlated abiotic factors in the Jurumirim Reservoir (São Paulo, Brazil

Directory of Open Access Journals (Sweden)

R. Henry

Full Text Available The annual variability of the photosynthetic production (PP by phytoplankton in the lacustrine zone of the Jurumirim Reservoir (São Paulo, Brazil was evaluated in a three-year study to identify recurrent patterns and their causes. Variability in PP was measured daily during two periods of the year (the dry and rainy seasons. An analysis of the PP data failed to identify a recurrent pattern, since the PP values showed no correlation with hydrological factors (rainfall, water level and discharge, and washout nor, apparently, with the water’s nutritional conditions. A principal component analysis revealed that the PP and assimilation ratio were higher when the PO4(3- and N-NH4+ contents were low and the Z EU/Z MIX ratios were at their highest. Areal primary productivity can be predicted based on the ratio between the maximum volumetric productivity and the coefficient of vertical extinction of light. However, the biomass integrated for Z EU was a poor predictor of areal primary productivity. No correlation was found between water temperature and areal and maximum volumetric productivity. Thus, the three-year PP study indicated that the variability pattern is typically chaotic. As for the short-term measurements, the PP was found to be higher in the dry season than in the rainy, although both seasons showed an areal PP variability of 35 to 40%. This pattern was attributed to the daily variation in the nutritional conditions and the magnitude of light penetrating through the water, combined with the mixing of phytoplanktonic cells. A comment about the relationship between primary production by phytoplankton and fish yield is also briefly discussed here.

FIRE: an SPSS program for variable selection in multiple linear regression analysis via the relative importance of predictors.

Science.gov (United States)

Lorenzo-Seva, Urbano; Ferrando, Pere J

2011-03-01

We provide an SPSS program that implements currently recommended techniques and recent developments for selecting variables in multiple linear regression analysis via the relative importance of predictors. The approach consists of: (1) optimally splitting the data for cross-validation, (2) selecting the final set of predictors to be retained in the equation regression, and (3) assessing the behavior of the chosen model using standard indices and procedures. The SPSS syntax, a short manual, and data files related to this article are available as supplemental materials from brm.psychonomic-journals.org/content/supplemental.

Prevalence and predictors associated with intestinal infections by protozoa and helminths in southern Brazil.

Science.gov (United States)

Casavechia, Maria Teresinha Gomes; Lonardoni, Maria Valdrinez Campana; Venazzi, Eneide Aparecida Sabaini; Campanerut-Sá, Paula Aline Zanetti; da Costa Benalia, Hugo Rafael; Mattiello, Matheus Felipe; Menechini, Pedro Victor Lazaretti; Dos Santos, Carlos Aparecido; Teixeira, Jorge Juarez Vieira

2016-06-01

Approximately 2 billion people are infected with soil-transmitted helminths worldwide, mainly in tropical and subtropical areas. This research aimed to investigate the prevalence and predictors associated with parasitic infections in primary health care. A cross-sectional study was performed with a large random sample to identify the prevalence and predictors associated with parasitic infections in primary health care in Marialva, southern Brazil, from April 2011 to September 2013. Stool samples from 775 individuals were analyzed for the presence of protozoan cysts, helminth eggs, and larvae. The overall prevalence of intestinal parasites was 13.94 %, and the prevalence of protozoa and helminths was 15.1 and 2.9 %, respectively. The predictor variables that were associated with intestinal parasites were male gender odds ratio (OR) 1.60, 95 % confidence interval (CI 1.10-2.40) and the absence of a kitchen garden (OR 2.28, 95 % CI, 1.08-4.85). Positive associations were found between Giardia duodenalis and individuals aged ≤18 with high risk (OR 19.0, 95 % CI 2.16-167.52), between Endolimax nana and the absence of a kitchen garden (p < 0.01), and between Trichuris trichiura and the presence of a kitchen garden (p = 0.014). Polyparasitism was present in 27.27 % of infected individuals. Our findings confirmed a relatively low prevalence in primary care, compared to international standards, despite the rare publications in the area. As variables, male gender and the absence of a kitchen garden stood out as important predictors. It is highly relevant that the health conditions of the population comply with consistent standards.

Ambulatory blood pressure monitoring-derived short-term blood pressure variability in primary hyperparathyroidism.

Science.gov (United States)

Concistrè, A; Grillo, A; La Torre, G; Carretta, R; Fabris, B; Petramala, L; Marinelli, C; Rebellato, A; Fallo, F; Letizia, C

2018-04-01

Primary hyperparathyroidism is associated with a cluster of cardiovascular manifestations, including hypertension, leading to increased cardiovascular risk. The aim of our study was to investigate the ambulatory blood pressure monitoring-derived short-term blood pressure variability in patients with primary hyperparathyroidism, in comparison with patients with essential hypertension and normotensive controls. Twenty-five patients with primary hyperparathyroidism (7 normotensive,18 hypertensive) underwent ambulatory blood pressure monitoring at diagnosis, and fifteen out of them were re-evaluated after parathyroidectomy. Short-term-blood pressure variability was derived from ambulatory blood pressure monitoring and calculated as the following: 1) Standard Deviation of 24-h, day-time and night-time-BP; 2) the average of day-time and night-time-Standard Deviation, weighted for the duration of the day and night periods (24-h "weighted" Standard Deviation of BP); 3) average real variability, i.e., the average of the absolute differences between all consecutive BP measurements. Baseline data of normotensive and essential hypertension patients were matched for age, sex, BMI and 24-h ambulatory blood pressure monitoring values with normotensive and hypertensive-primary hyperparathyroidism patients, respectively. Normotensive-primary hyperparathyroidism patients showed a 24-h weighted Standard Deviation (P blood pressure higher than that of 12 normotensive controls. 24-h average real variability of systolic BP, as well as serum calcium and parathyroid hormone levels, were reduced in operated patients (P blood pressure variability is increased in normotensive patients with primary hyperparathyroidism and is reduced by parathyroidectomy, and may potentially represent an additional cardiovascular risk factor in this disease.

Emotional distress and self-reported quality of life among primary ...

African Journals Online (AJOL)

Objectives: To investigate emotional symptoms and domain quality of life (QOL) among primary caregivers of stroke survivors and to determine survivor-related and caregiver-related predictors of these variables. Design: A cross-sectional study. Setting: Medical units of the two major hospitals of the Obafemi Awolowo ...

Achievable data rate in spectrum-sharing channels with variable-rate variable-power primary users

KAUST Repository

Yang, Yuli

2012-08-01

In this work, we propose a transmission strategy for secondary users (SUs) within a cognitive radio network where primary users (PUs) exploit variable-rate variable-power modulation. By monitoring the PU\\'s transmissions, the SU adjusts its transmit power based on the gap between the PU\\'s received effective signal-to-noise power ratio (SNR) and the lower SNR boundary for the modulation mode that is being used in the primary link. Thus, at the SU\\'s presence, the PU\\'s quality of service (QoS) is guaranteed without increasing its processing complexity thanks to no interference cancellation required in the PU\\'s operation. To demonstrate the advantage of our proposed transmission strategy, we analyze the secondary user\\'s achievable data rate by taking into account different transmission capabilities for the secondary transmitter. The corresponding numerical results not only prove the validity of our derivations but also provide a convenient tool for the network design with the proposed transmission strategy. © 2012 IEEE.

Efficient conservative ADER schemes based on WENO reconstruction and space-time predictor in primitive variables

Science.gov (United States)

Zanotti, Olindo; Dumbser, Michael

2016-01-01

We present a new version of conservative ADER-WENO finite volume schemes, in which both the high order spatial reconstruction as well as the time evolution of the reconstruction polynomials in the local space-time predictor stage are performed in primitive variables, rather than in conserved ones. To obtain a conservative method, the underlying finite volume scheme is still written in terms of the cell averages of the conserved quantities. Therefore, our new approach performs the spatial WENO reconstruction twice: the first WENO reconstruction is carried out on the known cell averages of the conservative variables. The WENO polynomials are then used at the cell centers to compute point values of the conserved variables, which are subsequently converted into point values of the primitive variables. This is the only place where the conversion from conservative to primitive variables is needed in the new scheme. Then, a second WENO reconstruction is performed on the point values of the primitive variables to obtain piecewise high order reconstruction polynomials of the primitive variables. The reconstruction polynomials are subsequently evolved in time with a novel space-time finite element predictor that is directly applied to the governing PDE written in primitive form. The resulting space-time polynomials of the primitive variables can then be directly used as input for the numerical fluxes at the cell boundaries in the underlying conservative finite volume scheme. Hence, the number of necessary conversions from the conserved to the primitive variables is reduced to just one single conversion at each cell center. We have verified the validity of the new approach over a wide range of hyperbolic systems, including the classical Euler equations of gas dynamics, the special relativistic hydrodynamics (RHD) and ideal magnetohydrodynamics (RMHD) equations, as well as the Baer-Nunziato model for compressible two-phase flows. In all cases we have noticed that the new ADER

Experience of primary care among homeless individuals with mental health conditions.

Directory of Open Access Journals (Sweden)

Joya G Chrystal

Full Text Available The delivery of primary care to homeless individuals with mental health conditions presents unique challenges. To inform healthcare improvement, we studied predictors of favorable primary care experience among homeless persons with mental health conditions treated at sites that varied in degree of homeless-specific service tailoring. This was a multi-site, survey-based comparison of primary care experiences at three mainstream primary care clinics of the Veterans Administration (VA, one homeless-tailored VA clinic, and one tailored non-VA healthcare program. Persons who accessed primary care service two or more times from July 2008 through June 2010 (N = 366 were randomly sampled. Predictor variables included patient and organization characteristics suggested by the patient perception model developed by Sofaer and Firminger (2005, with an emphasis on mental health. The primary care experience was assessed with the Primary Care Quality-Homeless (PCQ-H questionnaire, a validated survey instrument. Multiple regression identified predictors of positive experiences (i.e. higher PCQ-H total score. Significant predictors of a positive experience included a site offering tailored service design, perceived choice among providers, and currently domiciled status. There was an interaction effect between site and severe psychiatric symptoms. For persons with severe psychiatric symptoms, a homeless-tailored service design was significantly associated with a more favorable primary care experience. For persons without severe psychiatric symptoms, this difference was not significant. This study supports the importance of tailored healthcare delivery designed for homeless persons' needs, with such services potentially holding special relevance for persons with mental health conditions. To improve patient experience among the homeless, organizations may want to deliver services that are tailored to homelessness and offer a choice of providers.

Experience of Primary Care among Homeless Individuals with Mental Health Conditions

Science.gov (United States)

Chrystal, Joya G.; Glover, Dawn L.; Young, Alexander S.; Whelan, Fiona; Austin, Erika L.; Johnson, Nancy K.; Pollio, David E.; Holt, Cheryl L.; Stringfellow, Erin; Gordon, Adam J.; Kim, Theresa A.; Daigle, Shanette G.; Steward, Jocelyn L.; Kertesz, Stefan G

2015-01-01

The delivery of primary care to homeless individuals with mental health conditions presents unique challenges. To inform healthcare improvement, we studied predictors of favorable primary care experience among homeless persons with mental health conditions treated at sites that varied in degree of homeless-specific service tailoring. This was a multi-site, survey-based comparison of primary care experiences at three mainstream primary care clinics of the Veterans Administration (VA), one homeless-tailored VA clinic, and one tailored non-VA healthcare program. Persons who accessed primary care service two or more times from July 2008 through June 2010 (N = 366) were randomly sampled. Predictor variables included patient and organization characteristics suggested by the patient perception model developed by Sofaer and Firminger (2005), with an emphasis on mental health. The primary care experience was assessed with the Primary Care Quality-Homeless (PCQ-H) questionnaire, a validated survey instrument. Multiple regression identified predictors of positive experiences (i.e. higher PCQ-H total score). Significant predictors of a positive experience included a site offering tailored service design, perceived choice among providers, and currently domiciled status. There was an interaction effect between site and severe psychiatric symptoms. For persons with severe psychiatric symptoms, a homeless-tailored service design was significantly associated with a more favorable primary care experience. For persons without severe psychiatric symptoms, this difference was not significant. This study supports the importance of tailored healthcare delivery designed for homeless persons’ needs, with such services potentially holding special relevance for persons with mental health conditions. To improve patient experience among the homeless, organizations may want to deliver services that are tailored to homelessness and offer a choice of providers. PMID:25659142

Investigating personal, cognitive and organizational variables as predictors of unsafe behaviors among line workers in an industrial company

Directory of Open Access Journals (Sweden)

A. Neissi

2013-08-01

 .Conclusion: The results of this study showed the importance of safety competency, prevention focus, safety rules and procedures, safety efficiency and consciousness as predictors of unsafe work behaviors. Therefore, it is recommended to rely on these variables in the safety training courses and also in selecting people for high risk environments.

Predictors of relational continuity in primary care: patient, provider and practice factors.

Science.gov (United States)

Kristjansson, Elizabeth; Hogg, William; Dahrouge, Simone; Tuna, Meltem; Mayo-Bruinsma, Liesha; Gebremichael, Goshu

2013-05-31

Continuity is a fundamental tenet of primary care, and highly valued by patients; it may also improve patient outcomes and lower cost of health care. It is thus important to investigate factors that predict higher continuity. However, to date, little is known about the factors that contribute to continuity. The purpose of this study was to analyse practice, provider and patient predictors of continuity of care in a large sample of primary care practices in Ontario, Canada. Another goal was to assess whether there was a difference in the continuity of care provided by different models of primary care. This study is part of the larger a cross-sectional study of 137 primary care practices, their providers and patients. Several performance measures were evaluated; this paper focuses on relational continuity. Four items from the Primary Care Assessment Tool were used to assess relational continuity from the patient's perspective. Multilevel modeling revealed several patient factors that predicted continuity. Older patients and those with chronic disease reported higher continuity, while those who lived in rural areas, had higher education, poorer mental health status, no regular provider, and who were employed reported lower continuity. Providers with more years since graduation had higher patient-reported continuity. Several practice factors predicted lower continuity: number of MDs, nurses, opening on weekends, and having 24 hours a week or less on-call. Analyses that compared continuity across models showed that, in general, Health Service Organizations had better continuity than other models, even when adjusting for patient demographics. Some patients with greater health needs experience greater continuity of care. However, the lower continuity reported by those with mental health issues and those who live in rural areas is concerning. Furthermore, our finding that smaller practices have higher continuity suggests that physicians and policy makers need to consider

Acute and subacute stent thrombosis after primary percutaneous coronary intervention for ST-segment elevation myocardial infarction : incidence, predictors and clinical outcome

NARCIS (Netherlands)

Hesstermans, A. A. C. M.; van Werkum, J. W.; Zwart, B.; van der Heyden, J. A.; Kelder, J. C.; Breet, N. J.; van't Hof, A. W. J.; Koolen, J. J.; Brueren, B. R. G.; Zijlstra, F.; ten Berg, J. M.; Dambrink, Jan Hendrik Everwijn

2010-01-01

Background: Early coronary stent thrombosis occurs most frequent after primary percutaneous coronary intervention (PCI) for ST-segment elevation myocardial infarction (STEMI). Objectives: To identify the specific predictors of, respectively, acute and subacute stent thrombosis in patients after

Case-Mix Variables and Predictors for Outcomes of Laparoscopic Hysterectomy: A Systematic Review.

Science.gov (United States)

Driessen, Sara R C; Sandberg, Evelien M; la Chapelle, Claire F; Twijnstra, Andries R H; Rhemrev, Johann P T; Jansen, Frank Willem

2016-01-01

The assessment of surgical quality is complex, and an adequate case-mix correction is missing in currently applied quality indicators. The purpose of this study is to give an overview of all studies mentioning statistically significant associations between patient characteristics and surgical outcomes for laparoscopic hysterectomy (LH). Additionally, we identified a set of potential case-mix characteristics for LH. This systematic review was conducted according to the Meta-Analysis of Observational Studies in Epidemiology guidelines. We searched PubMed and EMBASE from January 1, 2000 to August 1, 2015. All articles describing statistically significant associations between patient characteristics and adverse outcomes of LH for benign indications were included. Primary outcomes were blood loss, operative time, conversion, and complications. The methodologic quality of the included studies was assessed using the Newcastle-Ottawa Quality Assessment Scale. The included articles were summed per predictor and surgical outcome. Three sets of case-mix characteristics were determined, stratified by different levels of evidence. Eighty-five of 1549 identified studies were considered eligible. Uterine weight and body mass index (BMI) were the most mentioned predictors (described, respectively, 83 and 45 times) in high quality studies. For longer operative time and higher blood loss, uterine weight ≥ 250 to 300 g and ≥500 g and BMI ≥ 30 kg/m(2) dominated as predictors. Previous operations, adhesions, and higher age were also considered as predictors for longer operative time. For complications and conversions, the patient characteristics varied widely, and uterine weight, BMI, previous operations, adhesions, and age predominated. Studies of high methodologic quality indicated uterine weight and BMI as relevant case-mix characteristics for all surgical outcomes. For future development of quality indicators of LH and to compare surgical outcomes adequately, a case

Investigation of Primary School Teachers' Conflict Resolution Skills in Terms of Different Variable

Science.gov (United States)

Bayraktar, Hatice Vatansever; Yilmaz, Kamile Özge

2016-01-01

In this study, it is aimed to determine the level of conflict resolution skills of primary school teachers and whether they vary by different variables. The study was organised in accordance with the scanning model. The universe of the study consists of primary school teachers working at 14 primary schools, two from each of the seven geographical…

Short-term to seasonal variability in factors driving primary productivity in a shallow estuary: Implications for modeling production

Science.gov (United States)

Canion, Andy; MacIntyre, Hugh L.; Phipps, Scott

2013-10-01

The inputs of primary productivity models may be highly variable on short timescales (hourly to daily) in turbid estuaries, but modeling of productivity in these environments is often implemented with data collected over longer timescales. Daily, seasonal, and spatial variability in primary productivity model parameters: chlorophyll a concentration (Chla), the downwelling light attenuation coefficient (kd), and photosynthesis-irradiance response parameters (Pmchl, αChl) were characterized in Weeks Bay, a nitrogen-impacted shallow estuary in the northern Gulf of Mexico. Variability in primary productivity model parameters in response to environmental forcing, nutrients, and microalgal taxonomic marker pigments were analysed in monthly and short-term datasets. Microalgal biomass (as Chla) was strongly related to total phosphorus concentration on seasonal scales. Hourly data support wind-driven resuspension as a major source of short-term variability in Chla and light attenuation (kd). The empirical relationship between areal primary productivity and a combined variable of biomass and light attenuation showed that variability in the photosynthesis-irradiance response contributed little to the overall variability in primary productivity, and Chla alone could account for 53-86% of the variability in primary productivity. Efforts to model productivity in similar shallow systems with highly variable microalgal biomass may benefit the most by investing resources in improving spatial and temporal resolution of chlorophyll a measurements before increasing the complexity of models used in productivity modeling.

Some psychosocial predictors of anxiety disorder in epilepsy ...

African Journals Online (AJOL)

This study was designed to expose the variables or predictors that mediate in anxiety disorders among epileptics in Nigeria. Such variables or predictors are age, level of social support and perceived level of stigmatization were examined with reference to their roles in causing anxiety disorder among epileptics in Nigeria.

The variable Jung as a predictor of mortality in patients with pulmonary edema.

Science.gov (United States)

Jung, Robert; Ivanović, Vladimir; Potić, Zoran; Panić, Gordana; Petrović, Milovan; Pavlović, Katica; Cemerlić-Adjić, Nada; Baskot, Branislav

2013-09-01

In our Intensive Coronary Care Unit (CCU) a specific scoring system named the AMIS_NS was developed both for prediction of mortality in patients with acute myocardial infarction and for evaluation of the quality of work. One of the most important variables of the AMIS_NS system is the variable Jung which stands for the interrelationship unified mortality predictors. The variable includes all the values of systolic blood pressure, heart rate and age, without limiting values for any of these. The cutoff value is 2.08. The patients with the lower variable value account for a significantly higher mortality. Data on the actual infarction are not necessitated now for this variable. The aim of this study was to assess the significance of the variable Jung in non-infarction patients with acute pulmonary edema. In a 24-month period out of 2,223 patients there were 1,087 and 1,136 patients with and without acute myocardial infarction, respectively. There was the subgroup without myocardial infarction of 312 (84.1%) patients admitted with the diagnosis of pulmonary edema. The subgroup with myocardial infarction consisted of 59 (15.9%) patients who were admitted for acute myocardial infarction and pulmonary edema which developed immediately after admission or during hospitalization in the CCU. For all the patients a uniform questionnaire was fulfilled on admission. Data were put into the personal computer. The variable "Jung" was used: (systolic bloog pressure/heart rate x age) x 100. RESULTS. Regarding sex, there was no difference in mortality, so that males and females were regarded as a whole. Previous myocardial infarction was equally registered in both groups. The investigated persons had less percent of mortality and a significantly higher systemic pressure as well as higher value of the variable Jung. There was no statistically significant difference in the heart rate between the two groups. In both groups of deceased patients the variable Jung (1.5 vs 1.6) was

A clinical algorithm for triaging patients with significant lymphadenopathy in primary health care settings in Sudan

Directory of Open Access Journals (Sweden)

Eltahir A.G. Khalil

2013-06-01

Full Text Available Background: Tuberculosis is a major health problem in developing countries. The distinction between tuberculous lymphadenitis, non-specific lymphadenitis and malignant lymph node enlargement has to be made at primary health care levels using easy, simple and cheap methods. Objective: To develop a reliable clinical algorithm for primary care settings to triage cases ofnon-specific, tuberculous and malignant lymphadenopathies. Methods: Calculation of the odd ratios (OR of the chosen predictor variables was carried out using logistic regression. The numerical score values of the predictor variables were weighed against their respective OR. The performance of the score was evaluated by the ROC (ReceiverOperator Characteristic curve. Results: Four predictor variables; Mantoux reading, erythrocytes sedimentation rate (ESR,nocturnal fever and discharging sinuses correlated significantly with TB diagnosis and were included in the reduced model to establish score A. For score B, the reduced model included Mantoux reading, ESR, lymph-node size and lymph-node number as predictor variables for malignant lymph nodes. Score A ranged 0 to 12 and a cut-off point of 6 gave a best sensitivity and specificity of 91% and 90% respectively, whilst score B ranged -3 to 8 and a cut-off point of3 gave a best sensitivity and specificity of 83% and 76% respectively. The calculated area underthe ROC curve was 0.964 (95% CI, 0.949 – 0.980 and -0.856 (95% CI, 0.787 ‑ 0.925 for scores Aand B respectively, indicating good performance. Conclusion: The developed algorithm can efficiently triage cases with tuberculous andmalignant lymphadenopathies for treatment or referral to specialised centres for furtherwork-up.

Psychological Predictor Variables of Emotional Maladjustment in Infertility: Analysis of the Moderating role of Gender

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Isabel M. Ramírez-Uclés

2015-01-01

Full Text Available El objeto del estudio es determinar si las variables ansiedad-estado, ansiedad-rasgo, afecto positivo, afecto negativo, alexitimia y recursos adaptativos (personales e interpersonales pueden predecir el desajuste emocional en personas infértiles, analizando el posible papel modulador del sexo en dicho desajuste. Participaron en el estudio 101 personas con un diagnóstico de infertilidad (51 hombres y 50 mujeres que respondieron a una batería de pruebas psicológicas (DERA, Cuestionario de Desajuste Emocional y Recursos Adaptativos en Infertilidad, Inventario de Ansiedad Estado-Rasgo [STAI], PANAS, Escala de Afectos Positivos y Negativos y TAS-20 [Escala de Alexitimia de Toronto]. Los efectos moduladores, parciales y de interacción de las variables se analizaron mediante un análisis de regresión de orden jerárquico. El modelo resultante explica el 71.1% de la varianza total, constituyendo el sexo una importante variable moduladora, mientras las variables ansiedad-rasgo, ansiedad-estado, afecto negativo y bajos recursos interpersonales actúan como importantes predictores del desajuste emocional en personas infértiles. Los resultados pueden ayudar en la elección de apoyos y tratamientos psicológicos y adecuados para alcanzar el ajuste emocional en hombres y mujeres infértiles.

Nonlinear Forecasting With Many Predictors Using Kernel Ridge Regression

DEFF Research Database (Denmark)

Exterkate, Peter; Groenen, Patrick J.F.; Heij, Christiaan

This paper puts forward kernel ridge regression as an approach for forecasting with many predictors that are related nonlinearly to the target variable. In kernel ridge regression, the observed predictor variables are mapped nonlinearly into a high-dimensional space, where estimation of the predi...

Predictors of recurrence in affective disorder. A case register study

DEFF Research Database (Denmark)

Kessing, Lars Vedel; Andersen, Per Kragh; Mortensen, P.B.

1998-01-01

BACKGROUND: The risk of recurrence in affective disorder is affected by socio-demographic variables such as gender, age at onset and marital status and by illness related factors as the length of previous episodes and the total duration of the illness. The present study investigated how the effect...... of these variables changed with the progression of the illness. METHOD: Using survival analysis, the risk of recurrence was estimated in a case register study including all hospital admissions with primary affective disorder in Denmark during 1971-1993. RESULTS: Totally, 20350 first admission patients had been...... disorder socio-demographic variables such as gender, age at onset and marital status act as risk factors for further recurrence. Later, however, the illness itself seem to follow its own rhythm regardless of prior predictors. LIMITATION: The data relate to re-admissions rather than recurrence...

In Pursuit of the Elusive Elixir: Predictors of First Grade Reading.

Science.gov (United States)

Porter, Robin

Multivariate sets of predictor variables including both cognitive and social variables, different types of preschool experiences, and family environment variables were used to predict the first-grade reading achievement of 144 first-grade boys and girls. Measures for the predictor variables had been taken at school entry and at the end of the…

Joint High-Dimensional Bayesian Variable and Covariance Selection with an Application to eQTL Analysis

KAUST Repository

Bhadra, Anindya

2013-04-22

We describe a Bayesian technique to (a) perform a sparse joint selection of significant predictor variables and significant inverse covariance matrix elements of the response variables in a high-dimensional linear Gaussian sparse seemingly unrelated regression (SSUR) setting and (b) perform an association analysis between the high-dimensional sets of predictors and responses in such a setting. To search the high-dimensional model space, where both the number of predictors and the number of possibly correlated responses can be larger than the sample size, we demonstrate that a marginalization-based collapsed Gibbs sampler, in combination with spike and slab type of priors, offers a computationally feasible and efficient solution. As an example, we apply our method to an expression quantitative trait loci (eQTL) analysis on publicly available single nucleotide polymorphism (SNP) and gene expression data for humans where the primary interest lies in finding the significant associations between the sets of SNPs and possibly correlated genetic transcripts. Our method also allows for inference on the sparse interaction network of the transcripts (response variables) after accounting for the effect of the SNPs (predictor variables). We exploit properties of Gaussian graphical models to make statements concerning conditional independence of the responses. Our method compares favorably to existing Bayesian approaches developed for this purpose. © 2013, The International Biometric Society.

Technological Capability's Predictor Variables

Directory of Open Access Journals (Sweden)

Fernanda Maciel Reichert

2011-03-01

Full Text Available The aim of this study was to identify the factors that influence in configuration of the technological capability of companies in sectors with medium-low technological intensity. To achieve the goal proposed in this article a survey was carried out. Based on the framework developed by Lall (1992 which classifies firms in basic, intermediate and advanced level of technological capability; it was found that the predominant technological capability is intermediate, with 83.7% of respondent companies (plastics companies in Brazil. It is believed that the main contribution of this study is the finding that the dependent variable named “Technological Capability” can be explained at a rate of 65% by six variables: development of new processes; selection of the best equipment supplier; sales of internally developed new technology to third parties; design and manufacture of equipment; study of the work methods and perform inventory control; and improvement of product quality.

FUNCTIONAL ABILITIES AS PREDICTORS OF PREADOSLESCENT STUDENTS’ ATHLETIC RESULTS OUTCOME

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Miroljub Ivanović

2011-09-01

Full Text Available Aim of this research has been directed to the functional abilities relation testing (as predictors and athletic results (as criterion of students, who are VII and VIII grade of primary school (Χ= 13, 9 years; SD = 1, 17. The research has been conducted in Valjevo during November 2010. on the sample of 108 examinees. Variables’ sample has been assembled from 3 tests for functional abilities (maximal oxygen consumption, pulse frequency and vital lungs capacity evaluation and 4 athletic disciplines (high jump, long jump, shot put and 60 meters low start sprint from current physical education curriculum. Crombah-alfa coefficient values indicate to satisfactory reliability of applied instruments. In data processing canonical correlation analysis and multiple regression analysis have been used. Achieved canonical correlation analysis results showed that functional abilities set is statistically and significantly related to criterion variables set (R=.67, manifesting one canonical factor on the level p<.03. Achieved determination coefficient (R² = .43 indicates to functional abilities prognostic significance of explained variance 46% criterion. Using hierarchy regression model following statistically significant beta coefficient of functional abilities as partial predictors of athletics outcome have been determined: I for vital lungs capacity- high jump (β = .67, p < .01, II for vital lungs capacity- long jump (β = .55, p < .01, III for vital lungs capacity and pulse frequency- shot put (β =.-.34, p < .01; β =.42, p < .02 and IV for vital lungs capacity- 60 meters sprint (β = .-.39. Regression equation calculation of other applied functional abilities preadolescents’ predictor variables has not statistically and significantly contributed to univariance prediction of criterion variable variance

Assessing predictors of intention to prescribe sick leave among primary care physicians using the theory of planned behaviour.

Science.gov (United States)

Swarna Nantha, Yogarabindranath; Wee, Lei Hum; Chan, Caryn Mei-Hsien

2018-01-16

Providing sickness certification is a decision that primary care physicians make on a daily basis. The majority of sickness certification studies in the literature involve a general assessment of physician or patient behaviour without the use of a robust psychological framework to guide research accuracy. To address this deficiency, this study utilized the Theory of Planned Behaviour (TPB) to specifically gauge the intention and other salient predictors related to sickness certification prescribing behaviour amongst primary care physicians. A cross-sectional study was conducted among N = 271 primary care physicians from 86 primary care practices throughout two states in Malaysia. Questionnaires used were specifically developed based on the TPB, consisting of both direct and indirect measures related to the provision of sickness leave. Questionnaire validity was established through factor analysis and the determination of internal consistency between theoretically related constructs. The temporal stability of the indirect measures was determined via the test-retest correlation analysis. Structural equation modelling was conducted to determine the strength of predictors related to intentions. The mean scores for intention to provide patients with sickness was low. The Cronbach α value for the direct measures was good: overall physician intent to provide sick leave (0.77), physician attitude towards prescribing sick leave for patients (0.77) and physician attitude in trusting the intention of patients seeking sick leave (0.83). The temporal stability of the indirect measures of the questionnaire was satisfactory with significant correlation between constructs separated by an interval of two weeks (p sick leave to patients. An integrated behavioural model utilizing the TPB could help fully explain the complex act of providing sickness leave to patients. Findings from this study could assist relevant agencies to facilitate the creation of policies that may help

Importance of predictor variables for models of chemical function

Data.gov (United States)

U.S. Environmental Protection Agency — Importance of random forest predictors for all classification models of chemical function. This dataset is associated with the following publication: Isaacs , K., M....

Predictors of the success and failure of emergency pelvic artery embolisation for primary postpartum haemorrhage: a 12-year review.

Science.gov (United States)

Lai, Billy Ming Hei; Shum, John Sing Fai; Chu, Chi Yeung; Lo, Sherwin Shing Wai; Lau, Kam Ying

2017-05-01

This study aimed to identify predictors of the outcome and clinical efficacy of emergency pelvic artery embolisation (PAE) for primary postpartum haemorrhage (PPH) and to assess the post-embolisation fertility of PAE patients in a regional hospital setting. A 12-year retrospective study of patients undergoing emergency PAE was conducted at a regional acute general hospital. Clinical and procedural parameters, clinical outcomes and post-embolisation pregnancy success rates were analysed. There were 47,221 deliveries at the hospital during the study period, of which 33 patients required urgent PAE for primary PPH. The technical success rate of embolisation was 97.0% (n = 32). Clinically adequate haemostasis was achieved by a single embolisation procedure in 24 (72.7%) patients; the remaining eight eventually required surgery to achieve cessation of bleeding. Among the parameters studied, multivariate logistic regression analysis showed that pre-embolisation platelet count (p = 0.036) and maternal age (p = 0.019) were the only significant independent predictors of embolisation failure. Only two patients successfully conceived after PAE, although one of them had an ectopic pregnancy. Emergency PAE is an effective measure to arrest life-threatening bleeding in patients with primary PPH. As low pre-embolisation platelet count and advanced maternal age are associated with higher odds of embolisation failure, careful post-embolisation monitoring may be required for such patients. Embolisation also allows subsequent pregnancy. However, further studies are required to assess the outcomes of post-embolisation pregnancies. Copyright: © Singapore Medical Association

Predictors of non-participation in cervical screening in Denmark.

Science.gov (United States)

Kristensson, Jenny Hansen; Sander, Bente Braad; von Euler-Chelpin, My; Lynge, Elsebeth

2014-04-01

The aims of this study were to identify demographic and socio-economic predictors of non-participation in cervical screening in Denmark, and to evaluate the influence of health care use on screening participation. A population based register study was undertaken using data from the Central Population Register, the national Patobank, and Statistics Denmark. The study included women aged 25-54 years on 1st of January 2002, living in Denmark during the next 5 years, and without a history of total hysterectomy, N=1,052,447. Independent variables included age, civil status, nationality, level of education, and use of health care. Associations with non-participation in screening were determined with logistic regression. Main predictors of non-participation were limited or no contact with dental services (odds ratio (OR)=2.36), general practitioners (OR=1.75), and high age (OR=1.98). Other important factors for non-participation were primary school education only (OR=1.53), not being married (OR=1.49), and foreign nationality (OR=1.32). A 2-1.5-fold difference in non-participation in cervical screening in Denmark was found across various population sub-groups. Increased screening compliance among women with primary school education only, and limited or no use of primary health care services in general could potentially diminish the current social inequalities in cervical cancer incidence, and thus decrease the overall high incidence of this disease in Denmark. Copyright © 2014 Elsevier Ltd. All rights reserved.

Predictors of fecal incontinence and related quality of life after a total mesorectal excision with primary anastomosis for patients with rectal cancer

NARCIS (Netherlands)

Walma, Marieke S; Kornmann, Verena N N; Boerma, Djamila; de Roos, Marnix A J; van Westreenen, Henderik L

PURPOSE: After total mesorectal excision (TME) with primary anastomosis for patients with rectal cancer, the quality of life (QoL) may be decreased due to fecal incontinence. This study aimed to identify predictors of fecal incontinence and related QoL. METHODS: Patients who underwent TME with

Predictors of health related quality of life in older people with non-communicable diseases attending three primary care clinics in Malaysia.

Science.gov (United States)

Sazlina, S G; Zaiton, A; Nor Afiah, M Z; Hayati, K S

2012-05-01

To determine the health related quality of life and its predictive factors among older people with non-communicable diseases attending primary care clinics. Cross-sectional study. Three public primary care clinics in a district in Selangor, Malaysia. Registered patients aged 55 years and above. A face-to-face interview was conducted using a validated questionnaire of Medical Outcome Study 36-item short form health survey (SF-36). The outcome measure was the health related quality of life (HRQoL) and other factors measured were socio demography, physical activity, social support (Duke-UNC Functional Social Support Questionnaire), and presence of non-communicable diseases. A total of 347 participants had non-communicable diseases which included hypertension (41.8%), type 2 diabetes (33.7%), asthma (4.8%), hyperlipidaemia (1.7%), coronary heart disease (1.2%), and osteoarthritis (0.2%). Age ≥ 65 years old (OR =2.23; 95%CI=1.42, 3.50), single (OR=1.75; 95%CI=1.06,2.90), presence of co-morbid condition (OR=1.66; 95%CI=1.06, 2.61), and poorer social support (OR=2.11; 95%CI=1.27, 3.51; p=0.002) were significant predictors of poorer physical component of HRQoL . In predicting lower mental health component of HRQoL, the significant predictors were women (OR=2.28; 95%CI=1.44, 3.62), Indian ethnicity (OR=1.86; 95%CI=1.08, 3.21) and poorer social support (OR=2.71; 95%CI=1.63, 4.51). No interactions existed between these predictors. Older people with non-communicable diseases were susceptible to lower health related quality of life. Increasing age, single, presence of co-morbid conditions, and poorer social support were predictors of lower physical health component of HRQoL. While the older women, Indian ethnicity and poorer social support reported lower mental health component of HRQoL.

Predictors of intelligence at the age of 5: family, pregnancy and birth characteristics, postnatal influences, and postnatal growth.

Science.gov (United States)

Eriksen, Hanne-Lise Falgreen; Kesmodel, Ulrik Schiøler; Underbjerg, Mette; Kilburn, Tina Røndrup; Bertrand, Jacquelyn; Mortensen, Erik Lykke

2013-01-01

Parental education and maternal intelligence are well-known predictors of child IQ. However, the literature regarding other factors that may contribute to individual differences in IQ is inconclusive. The aim of this study was to examine the contribution of a number of variables whose predictive status remain unclarified, in a sample of basically healthy children with a low rate of pre- and postnatal complications. 1,782 5-year-old children sampled from the Danish National Birth Cohort (2003-2007) were assessed with a short form of the Wechsler Preschool and Primary Scale of Intelligence - Revised. Information on parental characteristics, pregnancy and birth factors, postnatal influences, and postnatal growth was collected during pregnancy and at follow-up. A model including study design variables and child's sex explained 7% of the variance in IQ, while parental education and maternal IQ increased the explained variance to 24%. Other predictors were parity, maternal BMI, birth weight, breastfeeding, and the child's head circumference and height at follow-up. These variables, however, only increased the explained variance to 29%. The results suggest that parental education and maternal IQ are major predictors of IQ and should be included routinely in studies of cognitive development. Obstetrical and postnatal factors also predict IQ, but their contribution may be of comparatively limited magnitude.

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

Science.gov (United States)

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…

Predictors of Medication Adherence and Blood Pressure Control among Saudi Hypertensive Patients Attending Primary Care Clinics: A Cross-Sectional Study.

Directory of Open Access Journals (Sweden)

Sarah M Khayyat

Full Text Available To assess the level of medication adherence and to investigate predictors of medication adherence and blood pressure control among hypertensive patients attending primary healthcare clinics in Makkah, Saudi Arabia.Hypertensive patients meeting the eligibility criteria were recruited from eight primary care clinics between January and May 2016 for this study. The patients completed Arabic version of Morisky Medication Adherence Scale (MMAS-8, an eight-item validated, self-reported measure to assess medication adherence. A structured data collection form was used to record patients' sociodemographic, medical and medication data.Two hundred and four patients, of which 71.6% were females, participated in the study. Patients' mean age was 59.1 (SD 12.2. The mean number of medication used by patients was 4.4 (SD 1.89. More than half (110; 54% of the patients were non-adherent to their medications (MMAS score 65 years (OR 2.0 [95% CI: 1.0-4.2; P = 0.04], and being diabetic (OR 0.25 [95% CI: 0.1-0.6; P = 0.04] were found to be independent predictors of medication adherence.Medication adherence is alarmingly low among hypertensive patients attending primary care clinics in Saudi Arabia which may partly explain observed poor blood pressure control. There is a clear need to educate patients about the importance of medication adherence and its impact on improving clinical outcomes. Future research should identify barriers to medication adherence among Saudi hypertensive patients.

Seasonality in trauma admissions - Are daylight and weather variables better predictors than general cyclic effects?

Science.gov (United States)

Røislien, Jo; Søvik, Signe; Eken, Torsten

2018-01-01

Trauma is a leading global cause of death, and predicting the burden of trauma admissions is vital for good planning of trauma care. Seasonality in trauma admissions has been found in several studies. Seasonal fluctuations in daylight hours, temperature and weather affect social and cultural practices but also individual neuroendocrine rhythms that may ultimately modify behaviour and potentially predispose to trauma. The aim of the present study was to explore to what extent the observed seasonality in daily trauma admissions could be explained by changes in daylight and weather variables throughout the year. Retrospective registry study on trauma admissions in the 10-year period 2001-2010 at Oslo University Hospital, Ullevål, Norway, where the amount of daylight varies from less than 6 hours to almost 19 hours per day throughout the year. Daily number of admissions was analysed by fitting non-linear Poisson time series regression models, simultaneously adjusting for several layers of temporal patterns, including a non-linear long-term trend and both seasonal and weekly cyclic effects. Five daylight and weather variables were explored, including hours of daylight and amount of precipitation. Models were compared using Akaike's Information Criterion (AIC). A regression model including daylight and weather variables significantly outperformed a traditional seasonality model in terms of AIC. A cyclic week effect was significant in all models. Daylight and weather variables are better predictors of seasonality in daily trauma admissions than mere information on day-of-year.

Natural circulation under variable primary mass inventories at BETHSY facility

International Nuclear Information System (INIS)

Bazin, P.; Clement, P.; Deruaz, R.

1989-01-01

BETHSY is a high pressure integral test facility which models a 3 loop Framatome PWR with the intent of studying PWR accidents. The BETHSY programme includes both accident transients and tests under successive steady state conditions. So far, tests of the latter type have been especially devoted to situations where natural circulation takes place in the primary coolant system (PCS). Tests 4.1a and 4.1a TC, the results of which are introduced, deal with PCS natural circulation patterns and related heat transport mechanisms under two different core power levels (2 and 5% of nominal power), variable primary mass inventory (100% to 30-40% according to core power) and at two different steam generator liquid levels (standard value and 1 meter). (orig.)

Predictors of primary care referrals to a vascular disease prevention lifestyle program among participants in a cluster randomised trial.

Science.gov (United States)

Passey, Megan E; Laws, Rachel A; Jayasinghe, Upali W; Fanaian, Mahnaz; McKenzie, Suzanne; Powell-Davies, Gawaine; Lyle, David; Harris, Mark F

2012-08-03

Cardiovascular disease accounts for a large burden of disease, but is amenable to prevention through lifestyle modification. This paper examines patient and practice predictors of referral to a lifestyle modification program (LMP) offered as part of a cluster randomised controlled trial (RCT) of prevention of vascular disease in primary care. Data from the intervention arm of a cluster RCT which recruited 36 practices through two rural and three urban primary care organisations were used. In each practice, 160 eligible high risk patients were invited to participate. Practices were randomly allocated to intervention or control groups. Intervention practice staff were trained in screening, motivational interviewing and counselling and encouraged to refer high risk patients to a LMP involving individual and group sessions. Data include patient surveys; clinical audit; practice survey on capacity for preventive care; referral records from the LMP. Predictors of referral were examined using multi-level logistic regression modelling after adjustment for confounding factors. Of 301 eligible patients, 190 (63.1%) were referred to the LMP. Independent predictors of referral were baseline BMI ≥ 25 (OR 2.87 95%CI:1.10, 7.47), physical inactivity (OR 2.90 95%CI:1.36,6.14), contemplation/preparation/action stage of change for physical activity (OR 2.75 95%CI:1.07, 7.03), rural location (OR 12.50 95%CI:1.43, 109.7) and smaller practice size (1-3 GPs) (OR 16.05 95%CI:2.74, 94.24). Providing a well-structured evidence-based lifestyle intervention, free of charge to patients, with coordination and support for referral processes resulted in over 60% of participating high risk patients being referred for disease prevention. Contrary to expectations, referrals were more frequent from rural and smaller practices suggesting that these practices may be more ready to engage with these programs. ACTRN12607000423415.

What variables should be considered in allocating Primary health care Pharmaceutical budgets to districts in Uganda?

Science.gov (United States)

Mujasi, Paschal N; Puig-Junoy, Jaume

2015-01-01

A key policy question for the government of Uganda is how to equitably allocate primary health care pharmaceutical budgets to districts. This paper seeks to identify variables influencing current primary health care pharmaceutical expenditure and their usefulness in allocating prospective pharmaceutical budgets to districts. This was a cross sectional, retrospective observational study using secondary administrative data. We collected data on the value of pharmaceuticals procured by primary health care facilities in each district from National Medical Stores for the financial year 2011/2012. The dependent variable was expressed as per capita district pharmaceutical expenditure. By reviewing literature we identified 26 potential explanatory variables. They include supply, need and demand, and health system organization variables that may influence the demand and supply of health services and the corresponding pharmaceutical expenditure. We collected secondary data for these variables for all the districts in Uganda (n = 112). We performed econometric analysis to estimate parameters of various regression models. There is a significant correlation between per capita district pharmaceutical expenditure and total district population, rural poverty, access to drinking water and outpatient department (OPD) per capita utilisation.(P Uganda (Adjusted R(2) = 0.528). All variables in the model are significant (p Uganda are: district outpatient department attendance per capita, total district population, total number of government health facilities in the district and the district human poverty index.

Changes in Situational and Dispositional Factors as Predictors of Job Satisfaction

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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…

Relationships between Teacher Organizational Commitment, Psychological Hardiness and Some Demographic Variables in Turkish Primary Schools

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Sezgin, Ferudun

2009-01-01

Purpose: The purpose of this paper is to examine the relationships between teachers' organizational commitment perceptions and both their psychological hardiness and some demographic variables in a sample of Turkish primary schools. Design/methodology/approach: A total of 405 randomly selected teachers working at primary schools in Ankara…

Net primary productivity of subalpine meadows in Yosemite National Park in relation to climate variability

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Peggy E. Moore; Jan W. van Wagtendonk; Julie L. Yee; Mitchel P. McClaran; David N. Cole; Neil K. McDougald; Matthew L. Brooks

2013-01-01

Subalpine meadows are some of the most ecologically important components of mountain landscapes, and primary productivity is important to the maintenance of meadow functions. Understanding how changes in primary productivity are associated with variability in moisture and temperature will become increasingly important with current and anticipated changes in climate....

Predictors of intelligence at the age of 5: family, pregnancy and birth characteristics, postnatal influences, and postnatal growth.

Directory of Open Access Journals (Sweden)

Hanne-Lise Falgreen Eriksen

Full Text Available Parental education and maternal intelligence are well-known predictors of child IQ. However, the literature regarding other factors that may contribute to individual differences in IQ is inconclusive. The aim of this study was to examine the contribution of a number of variables whose predictive status remain unclarified, in a sample of basically healthy children with a low rate of pre- and postnatal complications. 1,782 5-year-old children sampled from the Danish National Birth Cohort (2003-2007 were assessed with a short form of the Wechsler Preschool and Primary Scale of Intelligence - Revised. Information on parental characteristics, pregnancy and birth factors, postnatal influences, and postnatal growth was collected during pregnancy and at follow-up. A model including study design variables and child's sex explained 7% of the variance in IQ, while parental education and maternal IQ increased the explained variance to 24%. Other predictors were parity, maternal BMI, birth weight, breastfeeding, and the child's head circumference and height at follow-up. These variables, however, only increased the explained variance to 29%. The results suggest that parental education and maternal IQ are major predictors of IQ and should be included routinely in studies of cognitive development. Obstetrical and postnatal factors also predict IQ, but their contribution may be of comparatively limited magnitude.

Predictor variables for half marathon race time in recreational female runners

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Beat Knechtle

2011-01-01

Full Text Available INTRODUCTION: The relationship between skin-fold thickness and running performance has been investigated from 100 m to the marathon distance, except the half marathon distance. OBJECTIVE: To investigate whether anthropometry characteristics or training practices were related to race time in 42 recreational female half marathoners to determine the predictor variables of half-marathon race time and to inform future novice female half marathoners. METHODS: Observational field study at the 'Half Marathon Basel' in Switzerland. RESULTS: In the bivariate analysis, body mass (r = 0.60, body mass index (r = 0.48, body fat (r = 0.56, skin-fold at pectoral (r = 0.61, mid-axilla (r = 0.69, triceps (r = 0.49, subscapular (r = 0.61, abdominal (r = 0.59, suprailiac (r = 0.55 medial calf (r = 0.53 site, and speed of the training sessions (r = -0.68 correlated to race time. Mid-axilla skin-fold (p = 0.04 and speed of the training sessions (p = 0.0001 remained significant after multi-variate analysis. Race time in a half marathon might be predicted by the following equation (r² = 0.71: Race time (min = 166.7 + 1.7x (mid-axilla skin-fold, mm - 6.4x (speed in training, km/h. Running speed during training was related to skinfold thickness at mid-axilla (r = -0.31, subscapular (r = -0.38, abdominal (r = -0.44, suprailiacal (r = -0.41, the sum of eight skin-folds (r = -0.36 and percent body fat (r = -0.31. CONCLUSION: Anthropometric and training variables were related to half-marathon race time in recreational female runners. Skin-fold thicknesses at various upper body locations were related to training intensity. High running speed in training appears to be important for fast half-marathon race times and may reduce upper body skin-fold thicknesses in recreational female half marathoners.

Predictor variables for half marathon race time in recreational female runners.

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Knechtle, Beat; Knechtle, Patrizia; Barandun, Ursula; Rosemann, Thomas; Lepers, Romuald

2011-01-01

The relationship between skin-fold thickness and running performance has been investigated from 100 m to the marathon distance, except the half marathon distance. To investigate whether anthropometry characteristics or training practices were related to race time in 42 recreational female half marathoners to determine the predictor variables of half-marathon race time and to inform future novice female half marathoners. Observational field study at the 'Half Marathon Basel' in Switzerland. In the bivariate analysis, body mass (r = 0.60), body mass index (r = 0.48), body fat (r = 0.56), skin-fold at pectoral (r = 0.61), mid-axilla (r = 0.69), triceps (r = 0.49), subscapular (r = 0.61), abdominal (r = 0.59), suprailiac (r = 0.55) medial calf (r = 0.53) site, and speed of the training sessions (r = -0.68) correlated to race time. Mid-axilla skin-fold (p = 0.04) and speed of the training sessions (p = 0.0001) remained significant after multi-variate analysis. Race time in a half marathon might be predicted by the following equation (r² = 0.71): Race time (min) = 166.7 + 1.7x (mid-axilla skin-fold, mm) - 6.4x (speed in training, km/h). Running speed during training was related to skinfold thickness at mid-axilla (r = -0.31), subscapular (r = -0.38), abdominal (r = -0.44), suprailiacal (r = -0.41), the sum of eight skin-folds (r = -0.36) and percent body fat (r = -0.31). Anthropometric and training variables were related to half-marathon race time in recreational female runners. Skin-fold thicknesses at various upper body locations were related to training intensity. High running speed in training appears to be important for fast half-marathon race times and may reduce upper body skin-fold thicknesses in recreational female half marathoners.

Cognitive and clinical predictors of functional capacity in patients with first episode schizophrenia

DEFF Research Database (Denmark)

Vesterager, Lone; Christensen, Torben Ø; Olsen, Birthe B

2012-01-01

The predictors of functional capacity in first episode schizophrenia among seven separable cognitive domains and clinical variables are unknown.......The predictors of functional capacity in first episode schizophrenia among seven separable cognitive domains and clinical variables are unknown....

Attitudinal Variables Affecting Education Reforms and Quality of Primary Education in Uganda

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Nyenje, Aida; Nkata, James

2016-01-01

This paper establishes the extent to which attitudinal variables affect the education reforms and subsequently the quality of primary education in Uganda. The paper is based on the views of a wide spectrum of different education stakeholders including: policy analysts, Members of Parliament (MPs), education officers, Headteachers, teaching staff,…

Recurrent Primary Spontaneous Pneumothorax is Common Following Chest Tube and Conservative Treatment

DEFF Research Database (Denmark)

Olesen, Winnie Hedevang; Lindahl-Jacobsen, Rune; Katballe, Niels

2016-01-01

INTRODUCTION: Previous studies on primary spontaneous pneumothorax reported variable recurrence rates, but they were based on heterogeneous patient populations including secondary pneumothorax. We investigated young patients with primary spontaneous pneumothorax exclusively and used a national...... registry to track readmissions and calculate independent predictors of recurrence. METHODS: A prospective cohort study of consecutive young patients who were admitted over a 5-year period with their first episode of primary spontaneous pneumothorax and treated conservatively with a chest tube. Baseline...... characteristics were obtained from questionnaires presented on admittance. All patients were discharged with fully expanded lungs on chest radiography. Patient charts were identified in the national electronic patient registry for detailed information on readmissions due to recurrent spontaneous pneumothorax...

Prediction of primary vs secondary hypertension in children.

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Baracco, Rossana; Kapur, Gaurav; Mattoo, Tej; Jain, Amrish; Valentini, Rudolph; Ahmed, Maheen; Thomas, Ronald

2012-05-01

Despite current guidelines, variability exists in the workup of hypertensive children due to physician preferences. The study evaluates primary vs secondary hypertension diagnosis from investigations routinely performed in hypertensive children. This retrospective study included children 5 to 19 years with primary and secondary hypertension. The proportions of abnormal laboratory and imaging tests were compared between primary and secondary hypertension groups. Risk factors for primary vs secondary hypertension were evaluated by logistic regression and likelihood function analysis. Patients with secondary hypertension were younger (5-12 years) and had a higher proportion of abnormal creatinine, renal ultrasound, and echocardiogram findings. There was no significant difference in abnormal results of thyroid function, urine catecholamines, plasma renin, and aldosterone. Abnormal renal ultrasound findings and age were predictors of secondary hypertension by regression and likelihood function analysis. Children aged 5 to 12 years with abnormal renal ultrasound findings and high diastolic blood pressures are at higher risk for secondary hypertension that requires detailed evaluation. © 2012 Wiley Periodicals, Inc.

Patient experience of access to primary care: identification of predictors in a national patient survey.

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Kontopantelis, Evangelos; Roland, Martin; Reeves, David

2010-08-28

The 2007/8 GP Access Survey in England measured experience with five dimensions of access: getting through on the phone to a practice, getting an early appointment, getting an advance appointment, making an appointment with a particular doctor, and surgery opening hours. Our aim was to identify predictors of patient satisfaction and experience with access to English primary care. 8,307 English general practices were included in the survey (of 8,403 identified). 4,922,080 patients were randomly selected and contacted by post and 1,999,523 usable questionnaires were returned, a response rate of 40.6%. We used multi-level logistic regressions to identify patient, practice and regional predictors of patient satisfaction and experience. After controlling for all other factors, younger people, and people of Asian ethnicity, working full time, or with long commuting times to work, reported the lowest levels of satisfaction and experience of access. For people in work, the ability to take time off work to visit the GP effectively eliminated the disadvantage in access. The ethnic mix of the local area had an impact on a patient's reported satisfaction and experience over and above the patient's own ethnic identity. However, area deprivation had only low associations with patient ratings. Responses from patients in small practices were more positive for all aspects of access with the exception of satisfaction with practice opening hours. Positive reports of access to care were associated with higher scores on the Quality and Outcomes Framework and with slightly lower rates of emergency admission. Respondents in London were the least satisfied and had the worst experiences on almost all dimensions of access. This study identifies a number of patient groups with lower satisfaction, and poorer experience, of gaining access to primary care. The finding that access is better in small practices is important given the increasing tendency for small practices to combine into larger

Patient experience of access to primary care: identification of predictors in a national patient survey

Directory of Open Access Journals (Sweden)

Kontopantelis Evangelos

2010-08-01

Full Text Available Abstract Background The 2007/8 GP Access Survey in England measured experience with five dimensions of access: getting through on the phone to a practice, getting an early appointment, getting an advance appointment, making an appointment with a particular doctor, and surgery opening hours. Our aim was to identify predictors of patient satisfaction and experience with access to English primary care. Methods 8,307 English general practices were included in the survey (of 8,403 identified. 4,922,080 patients were randomly selected and contacted by post and 1,999,523 usable questionnaires were returned, a response rate of 40.6%. We used multi-level logistic regressions to identify patient, practice and regional predictors of patient satisfaction and experience. Results After controlling for all other factors, younger people, and people of Asian ethnicity, working full time, or with long commuting times to work, reported the lowest levels of satisfaction and experience of access. For people in work, the ability to take time off work to visit the GP effectively eliminated the disadvantage in access. The ethnic mix of the local area had an impact on a patient's reported satisfaction and experience over and above the patient's own ethnic identity. However, area deprivation had only low associations with patient ratings. Responses from patients in small practices were more positive for all aspects of access with the exception of satisfaction with practice opening hours. Positive reports of access to care were associated with higher scores on the Quality and Outcomes Framework and with slightly lower rates of emergency admission. Respondents in London were the least satisfied and had the worst experiences on almost all dimensions of access. Conclusions This study identifies a number of patient groups with lower satisfaction, and poorer experience, of gaining access to primary care. The finding that access is better in small practices is important given

Predictors of public support for nutrition-focused policy, systems and environmental change strategies in Los Angeles County, 2013.

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Robles, Brenda; Kuo, Tony

2017-01-13

Since 2010, federal and local agencies have invested broadly in a variety of nutrition-focused policy, systems and environmental change (PSE) initiatives in Los Angeles County (LAC). To date, little is known about whether the public supports such efforts. We address this gap in the literature by examining predictors of support for a variety of PSEs. Voters residing in LAC (n=1007) were randomly selected to participate in a cross-sectional telephone survey commissioned by the LAC Department of Public Health. The survey asked questions about attitudes towards the obesity epidemic, nutrition knowledge and behaviours, public opinions about changing business practices/government policies related to nutrition, and sociodemographics. A factor analysis informed outcome variable selection (ie, type of PSEs). Multivariable regression analyses were performed to examine predictors of public support. Predictors in the regression models included (primary regressor) community economic hardship; (control variables) political affiliation, sex, age, race and income; and (independent variables) perceptions about obesity, perceived health and weight status, frequency reading nutrition labels, ease of finding healthy and unhealthy foods, and food consumption behaviours (ie, fruit and vegetables, non-diet soda, fast-food and sit-down restaurant meals). 3 types of PSE outcome variables were identified: promotional/incentivising, limiting/restrictive and business practices. Community economic hardship was not found to be a significant predictor of public support for any of the 3 PSE types. However, Republican party affiliation, being female and perceiving obesity as a serious health problem were. These findings have implications for public health practice and community planning in local health jurisdictions. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Predictors of primary care referrals to a vascular disease prevention lifestyle program among participants in a cluster randomised trial

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Passey Megan E

2012-08-01

Full Text Available Abstract Background Cardiovascular disease accounts for a large burden of disease, but is amenable to prevention through lifestyle modification. This paper examines patient and practice predictors of referral to a lifestyle modification program (LMP offered as part of a cluster randomised controlled trial (RCT of prevention of vascular disease in primary care. Methods Data from the intervention arm of a cluster RCT which recruited 36 practices through two rural and three urban primary care organisations were used. In each practice, 160 eligible high risk patients were invited to participate. Practices were randomly allocated to intervention or control groups. Intervention practice staff were trained in screening, motivational interviewing and counselling and encouraged to refer high risk patients to a LMP involving individual and group sessions. Data include patient surveys; clinical audit; practice survey on capacity for preventive care; referral records from the LMP. Predictors of referral were examined using multi-level logistic regression modelling after adjustment for confounding factors. Results Of 301 eligible patients, 190 (63.1% were referred to the LMP. Independent predictors of referral were baseline BMI ≥ 25 (OR 2.87 95%CI:1.10, 7.47, physical inactivity (OR 2.90 95%CI:1.36,6.14, contemplation/preparation/action stage of change for physical activity (OR 2.75 95%CI:1.07, 7.03, rural location (OR 12.50 95%CI:1.43, 109.7 and smaller practice size (1–3 GPs (OR 16.05 95%CI:2.74, 94.24. Conclusions Providing a well-structured evidence-based lifestyle intervention, free of charge to patients, with coordination and support for referral processes resulted in over 60% of participating high risk patients being referred for disease prevention. Contrary to expectations, referrals were more frequent from rural and smaller practices suggesting that these practices may be more ready to engage with these programs. Trial registration ACTRN

Analysis of Primary School Student's Science Learning Anxiety According to Some Variables

Science.gov (United States)

Karakaya, Ferhat; Avgin, Sakine Serap; Kumperli, Ethem

2016-01-01

On this research, it is analyzed if the science learning anxiety level shows difference according to variables which are gender, grade level, science lesson grade, mother education, father education level. Scanning Design is used for this study. Research working group is consisted of 294 primary school from 6th, 7th and 8th graders on 2015-2016…

Predictors of persistent pain after total knee arthroplasty: a systematic review and meta-analysis.

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Lewis, G N; Rice, D A; McNair, P J; Kluger, M

2015-04-01

Several studies have identified clinical, psychosocial, patient characteristic, and perioperative variables that are associated with persistent postsurgical pain; however, the relative effect of these variables has yet to be quantified. The aim of the study was to provide a systematic review and meta-analysis of predictor variables associated with persistent pain after total knee arthroplasty (TKA). Included studies were required to measure predictor variables prior to or at the time of surgery, include a pain outcome measure at least 3 months post-TKA, and include a statistical analysis of the effect of the predictor variable(s) on the outcome measure. Counts were undertaken of the number of times each predictor was analysed and the number of times it was found to have a significant relationship with persistent pain. Separate meta-analyses were performed to determine the effect size of each predictor on persistent pain. Outcomes from studies implementing uni- and multivariable statistical models were analysed separately. Thirty-two studies involving almost 30 000 patients were included in the review. Preoperative pain was the predictor that most commonly demonstrated a significant relationship with persistent pain across uni- and multivariable analyses. In the meta-analyses of data from univariate models, the largest effect sizes were found for: other pain sites, catastrophizing, and depression. For data from multivariate models, significant effects were evident for: catastrophizing, preoperative pain, mental health, and comorbidities. Catastrophizing, mental health, preoperative knee pain, and pain at other sites are the strongest independent predictors of persistent pain after TKA. © The Author 2014. Published by Oxford University Press on behalf of the British Journal of Anaesthesia. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Control Method for Variable Speed Wind Turbines to Support Temporary Primary Frequency Control

DEFF Research Database (Denmark)

Wang, Haijiao; Chen, Zhe; Jiang, Quanyuan

2014-01-01

This paper develops a control method for variable speed wind turbines (VSWTs) to support temporary primary frequency control of power system. The control method contains two parts: (1) up-regulate support control when a frequency drop event occurs; (2) down-regulate support control when a frequen...

Seasonality in trauma admissions – Are daylight and weather variables better predictors than general cyclic effects?

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Søvik, Signe; Eken, Torsten

2018-01-01

Background Trauma is a leading global cause of death, and predicting the burden of trauma admissions is vital for good planning of trauma care. Seasonality in trauma admissions has been found in several studies. Seasonal fluctuations in daylight hours, temperature and weather affect social and cultural practices but also individual neuroendocrine rhythms that may ultimately modify behaviour and potentially predispose to trauma. The aim of the present study was to explore to what extent the observed seasonality in daily trauma admissions could be explained by changes in daylight and weather variables throughout the year. Methods Retrospective registry study on trauma admissions in the 10-year period 2001–2010 at Oslo University Hospital, Ullevål, Norway, where the amount of daylight varies from less than 6 hours to almost 19 hours per day throughout the year. Daily number of admissions was analysed by fitting non-linear Poisson time series regression models, simultaneously adjusting for several layers of temporal patterns, including a non-linear long-term trend and both seasonal and weekly cyclic effects. Five daylight and weather variables were explored, including hours of daylight and amount of precipitation. Models were compared using Akaike’s Information Criterion (AIC). Results A regression model including daylight and weather variables significantly outperformed a traditional seasonality model in terms of AIC. A cyclic week effect was significant in all models. Conclusion Daylight and weather variables are better predictors of seasonality in daily trauma admissions than mere information on day-of-year. PMID:29425210

Predictors of COPD in symptomatic smokers and ex-smokers seen in primary care

DEFF Research Database (Denmark)

Tupper, Oliver Djurhuus; Kjeldgaard, Peter; Løkke, Anders

2018-01-01

Even in subjects at high risk of chronic obstructive pulmonary disease (COPD), the diagnosis is often missed due to lack of awareness of symptoms and risk factors. The objective of this study was to identify predictors of a diagnosis of COPD in symptomatic current and ex-smokers seen in a primary....... Multivariate logistic regression analysis revealed that increasing age 50-59 years (OR 2.4, 95% CI 1.8-3.3), 60-69 years (OR 4.1, 95% CI 3.1-5.5), ≥70 years (OR 5.7, 95% CI 4.2-7.8), BMI smoker (OR 1.2, 95% CI 1.01-1.5), self-reported dyspnoea (OR 1.7, 95% CI 1.......4-2.0), wheeze (OR 1.9, 95% CI 1.5-2.3) and sputum (OR 1.4, 95% CI 1.1-1.7) were associated with a significantly higher risk of being diagnosed with COPD. No association was found between gender, cough and recurrent respiratory tract infections and a diagnosis of COPD. Among symptomatic smokers and ex-smokers...

Gender and distance influence performance predictors in young swimmers

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Paulo Victor Mezzaroba

2013-12-01

Full Text Available Predictors of performance in adult swimmers are constantly changing during youth especially because the training routine begins even before puberty in the modality. Therefore this study aimed to determine the group of parameters that best predict short and middle swimming distance performances of young swimmers of both genders. Thirty-three 10-to 16-years-old male and female competitive swimmers participated in the study. Multiple linear regression (MLR was used considering mean speed of maximum 100, 200 and 400 m efforts as dependent variables, and five parameters groups as possible predictors (anthropometry, body composition, physiological and biomechanical parameters, chronological age/pubic hair. The main results revealed explanatory powers of almost 100% for both genders and all performances, but with different predictors entered in MLR models of each parameter group or all variables. Thus, there are considerable differences in short and middle swimming distance, and males and females predictors that should be considered in training programs.

Coronary artery ectasia, an independent predictor of no-reflow after primary PCI for ST-elevation myocardial infarction.

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Schram, H C F; Hemradj, V V; Hermanides, R S; Kedhi, E; Ottervanger, J P

2018-04-25

The no-reflow phenomenon is a serious complication after primary percutaneous coronary intervention (PCI) for ST-elevation Myocardial Infarction (STEMI). Coronary artery ectasia (CAE) may increase the risk of no-reflow, however, only limited data is available on the potential impact of CAE. The aim of this study was to determine the potential association between CAE and no-reflow after primary PCI. A case control study was performed based on a prospective cohort of STEMI patients from January 2000 to December 2011. All patients with TIMI 0-1 flow post primary PCI, in the absence of dissection, thrombus, spasm or high-grade residual stenosis, were considered as no-reflow case. Control subjects were two consecutive STEMI patients after each case, with TIMI flow ≥2 after primary PCI. CAE was defined as dilatation of an arterial segment to a diameter at least 1.5 times that of the adjacent normal coronary artery. In the no-reflow group, frequency of CAE was significantly higher (33.8% vs 3.9%, p PCI (91% vs 71% p = 0.03), less often anterior STEMI (3% vs 37%, p PCI with stenting (47% vs 74%, p = 0.003). After multivariate analysis, CAE remained a strong and independent predictor of no-reflow (OR 13.9, CI 4.7-41.2, p PCI for STEMI. Future studies should assess optimal treatment. Copyright © 2017 Elsevier B.V. All rights reserved.

Predictors of pre-game anxiety dysphoria among teenage soccer ...

African Journals Online (AJOL)

Predictors of pre-game anxiety dysphoria among teenage soccer players. ... The result confirmed a significant composite effect of the dependent variable on the independent variables (0.87637, 74.49548, ... AJOL African Journals Online.

Cognitive and attitudinal predictors related to graphing achievement among pre-service elementary teachers

Science.gov (United States)

Szyjka, Sebastian P.

The purpose of this study was to determine the extent to which six cognitive and attitudinal variables predicted pre-service elementary teachers' performance on line graphing. Predictors included Illinois teacher education basic skills sub-component scores in reading comprehension and mathematics, logical thinking performance scores, as well as measures of attitudes toward science, mathematics and graphing. This study also determined the strength of the relationship between each prospective predictor variable and the line graphing performance variable, as well as the extent to which measures of attitude towards science, mathematics and graphing mediated relationships between scores on mathematics, reading, logical thinking and line graphing. Ninety-four pre-service elementary education teachers enrolled in two different elementary science methods courses during the spring 2009 semester at Southern Illinois University Carbondale participated in this study. Each subject completed five different instruments designed to assess science, mathematics and graphing attitudes as well as logical thinking and graphing ability. Sixty subjects provided copies of primary basic skills score reports that listed subset scores for both reading comprehension and mathematics. The remaining scores were supplied by a faculty member who had access to a database from which the scores were drawn. Seven subjects, whose scores could not be found, were eliminated from final data analysis. Confirmatory factor analysis (CFA) was conducted in order to establish validity and reliability of the Questionnaire of Attitude Toward Line Graphs in Science (QALGS) instrument. CFA tested the statistical hypothesis that the five main factor structures within the Questionnaire of Attitude Toward Statistical Graphs (QASG) would be maintained in the revised QALGS. Stepwise Regression Analysis with backward elimination was conducted in order to generate a parsimonious and precise predictive model. This

Variable Selection via Partial Correlation.

Science.gov (United States)

Li, Runze; Liu, Jingyuan; Lou, Lejia

2017-07-01

Partial correlation based variable selection method was proposed for normal linear regression models by Bühlmann, Kalisch and Maathuis (2010) as a comparable alternative method to regularization methods for variable selection. This paper addresses two important issues related to partial correlation based variable selection method: (a) whether this method is sensitive to normality assumption, and (b) whether this method is valid when the dimension of predictor increases in an exponential rate of the sample size. To address issue (a), we systematically study this method for elliptical linear regression models. Our finding indicates that the original proposal may lead to inferior performance when the marginal kurtosis of predictor is not close to that of normal distribution. Our simulation results further confirm this finding. To ensure the superior performance of partial correlation based variable selection procedure, we propose a thresholded partial correlation (TPC) approach to select significant variables in linear regression models. We establish the selection consistency of the TPC in the presence of ultrahigh dimensional predictors. Since the TPC procedure includes the original proposal as a special case, our theoretical results address the issue (b) directly. As a by-product, the sure screening property of the first step of TPC was obtained. The numerical examples also illustrate that the TPC is competitively comparable to the commonly-used regularization methods for variable selection.

Predictors for half-year outcome of impairment in daily life for back pain patients referred for physiotherapy: a prospective observational study.

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Sven Karstens

Full Text Available BACKGROUND AND OBJECTIVE: From observational studies, there is only sparse information available on the predictors of development of impairment in daily life for patients receiving physiotherapy. Therefore, our aim was to identify factors which predict impairment in daily life for patients with back pain 6 months after receiving physiotherapy. METHODS: We conducted a prospective cohort study with 6-month follow-up. Patients were enrolled for treatment in private physiotherapy practices. Patients with a first physiotherapy referral because of thoracic or low back pain, aged 18 to 65 years were included. Primary outcome impairment was measured utilising the 16-item version of the Musculoskeletal Function Assessment Questionnaire. Therapy was documented on a standardized form. Baseline scores for impairment in daily life, symptom characteristics, sociodemographic and psychosocial factors, physical activity, nicotine consumption, intake of analgesics, comorbidity and delivered primary therapy approach were investigated as possible predictors. Univariate and multiple linear regression analyses were performed. RESULTS: A total of 792 patients participated in the study (59% female, mean age 44.4 (SD 11.4, with 6-month follow-up results available from 391 patients. In univariate analysis 17 variables reached significance. In multiple linear regression identified predictors were: impairment in daily life before therapy, mental disorders, duration of the complaints, self-prognosis on work ability, rheumatoid arthritis, age, form of stress at work and physical activity. The variables explain 34% of variance (adjusted R(2, p<0.001. CONCLUSIONS: With minimal information available from observational studies on the predictors of development of back problems for physiotherapy patients, this study adds new knowledge for forming appropriate referral guidelines. Impairment in daily life before therapy, mental disorder as comorbidity and the duration of the

Exploratory regression analysis: a tool for selecting models and determining predictor importance.

Science.gov (United States)

Braun, Michael T; Oswald, Frederick L

2011-06-01

Linear regression analysis is one of the most important tools in a researcher's toolbox for creating and testing predictive models. Although linear regression analysis indicates how strongly a set of predictor variables, taken together, will predict a relevant criterion (i.e., the multiple R), the analysis cannot indicate which predictors are the most important. Although there is no definitive or unambiguous method for establishing predictor variable importance, there are several accepted methods. This article reviews those methods for establishing predictor importance and provides a program (in Excel) for implementing them (available for direct download at http://dl.dropbox.com/u/2480715/ERA.xlsm?dl=1) . The program investigates all 2(p) - 1 submodels and produces several indices of predictor importance. This exploratory approach to linear regression, similar to other exploratory data analysis techniques, has the potential to yield both theoretical and practical benefits.

Primary Squamous Cell Carcinoma of the Thyroid: A Population-Based Analysis.

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Au, Joshua K; Alonso, Jose; Kuan, Edward C; Arshi, Armin; St John, Maie A

2017-07-01

Objectives To analyze the epidemiology and describe the prognostic indicators of patients with primary squamous cell carcinoma of the thyroid. Study Design and Setting Retrospective cohort study based on a national database. Methods The US National Cancer Institute's SEER registry (Surveillance, Epidemiology, and End Results) was reviewed for patients with primary squamous cell carcinoma of the thyroid from 1973 to 2012. Study variables included age, sex, race, tumor size, tumor grade, regional and distant metastases, and treatment modality. Survival measures included overall survival (OS) and disease-specific survival (DSS). Results A total of 199 cases of primary squamous cell carcinoma of the thyroid were identified. Mean age at diagnosis was 68.1 years; 58.3% were female; and 79.4% were white. Following diagnosis, 46.3% of patients underwent surgery; 55.7%, radiation therapy; and 45.8%, surgery with radiation therapy. Kaplan-Meier analysis demonstrated OS and DSS of 16% and 21% at 5 years, respectively. Median survival after diagnosis was 9.1 months. Multivariate Cox regression analysis showed that predictors of OS and DSS included age ( P Squamous cell carcinoma of the thyroid is a rare malignancy with a very poor prognosis. Surgical resection confers an overall survival benefit. Age, tumor grade, and tumor size are predictors of OS and DSS.

Can You Hack It? Validating Predictors for IT Boot Camps

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Gear, Courtney C.

Given the large number of information technology jobs open and lack of qualified individuals to fill them, coding boot camps have sprung up in response to this skill gap by offering a specialized training program in an accelerated format. This fast growth has created a need to measure these training programs and understand their effectiveness. In the present study, a series of analyses examined whether specific or combinations of predictors were valid for training performance in this coding academy. Self-rated, daily efficacy scores were used as outcome variables of training success and correlation results showed a positive relationship with efficacy scores and the logic test score as a predictor. Exploratory analyses indicated a Dunning-Kruger effect where students with lower education levels experience higher overall mood during the training program. Limitations of the study included small sample size, severe range restriction in predictor scores, lack of variance in predictor scores, and low variability in training program success. These limitations made identifying jumps between training stages difficult to identify. By identifying which predictors matter most for each stage of skill acquisition, further research should consider more objective variables such as instructor scores which can serve as a guideline to better asses what stage learners join at and how to design curriculum and assignments accordingly (Honken, 2013).

Primary tumor location as a predictor of the benefit of palliative resection for colorectal cancer with unresectable metastasis.

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Zhang, Rong-Xin; Ma, Wen-Juan; Gu, Yu-Ting; Zhang, Tian-Qi; Huang, Zhi-Mei; Lu, Zhen-Hai; Gu, Yang-Kui

2017-07-27

It is still under debate that whether stage IV colorectal cancer patients with unresectable metastasis can benefit from primary tumor resection, especially for asymptomatic colorectal cancer patients. Retrospective studies have shown controversial results concerning the benefit from surgery. This retrospective study aims to evaluate whether the site of primary tumor is a predictor of palliative resection in asymptomatic stage IV colorectal cancer patients. One hundred ninety-four patients with unresectable metastatic colorectal cancer were selected from Sun Yat-sen University Cancer Center Database in the period between January 2007 and December 2013. All information was carefully reviewed and collected, including the treatment, age, sex, carcinoembryonic antigen, site of tumor, histology, cancer antigen 199, number of liver metastases, and largest diameter of liver metastasis. The univariate and multivariate analyses were used to detect the relationship between primary tumor resection and overall survival of unresectable stage IV colorectal cancer patients. One hundred twenty-five received palliative resection, and 69 received only chemotherapy. Multivariate analysis indicated that primary tumor site was one of the independent factors (RR 0.569, P = 0.007) that influenced overall survival. For left-side colon cancer patients, primary tumor resection prolonged the median overall survival time for 8 months (palliative resection vs. no palliative resection: 22 vs. 14 months, P = 0.009); however, for right-side colon cancer patients, palliative resection showed no benefit (12 vs. 10 months, P = 0.910). This study showed that left-side colon cancer patients might benefit from the primary tumor resection in terms of overall survival. This result should be further explored in a prospective study.

Temporal predictors of health-related quality of life in elderly people with diabetes: results of a German cohort study.

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Maatouk, Imad; Wild, Beate; Wesche, Daniela; Herzog, Wolfgang; Raum, Elke; Müller, Heiko; Rothenbacher, Dietrich; Stegmaier, Christa; Schellberg, Dieter; Brenner, Hermann

2012-01-01

The aim of the study was to determine predictors that influence health-related quality of life (HRQOL) in a large cohort of elderly diabetes patients from primary care over a follow-up period of five years. At the baseline measurement of the ESTHER cohort study (2000-2002), 1375 out of 9953 participants suffered from diabetes (13.8%). 1057 of these diabetes patients responded to the second-follow up (2005-2007). HRQOL at baseline and follow-up was measured using the SF-12; mental component scores (MCS) and physical component scores (PCS) were calculated; multiple linear regression models were used to determine predictors of HRQOL at follow-up. As possible predictors for HRQOL, the following baseline variables were examined: treatment with insulin, glycated hemoglobin (HbA1c), number of diabetes related complications, number of comorbid diseases, Body-Mass-Index (BMI), depression and HRQOL. Regression analyses were adjusted for sociodemographic variables and smoking status. 1034 patients (97.8%) responded to the SF-12 both at baseline and after five years and were therefore included in the study. Regression analyses indicated that significant predictors of decreased MCS were a lower HRQOL, a higher number of diabetes related complications and a reported history of depression at baseline. Complications, BMI, smoking and HRQOL at baseline significantly predicted PCS at the five year follow-up. Our findings expand evidence from previous cross-sectional data indicating that in elderly diabetes patients, depression, diabetes related complications, smoking and BMI are temporally predictive for HRQOL.

Pre-performance Physiological State: Heart Rate Variability as a Predictor of Shooting Performance.

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Ortega, E; Wang, C J K

2018-03-01

Heart rate variability (HRV) is commonly used in sport science for monitoring the physiology of athletes but not as an indicator of physiological state from a psychological perspective. Since HRV is established to be an indicator of emotional responding, it could be an objective means of quantifying an athlete's subjective physiological state before competition. A total of 61 sport shooters participated in this study, of which 21 were novice shooters, 19 were intermediate shooters, and 21 were advanced level shooters. HRV, self-efficacy, and use of mental skills were assessed before they completed a standard shooting performance task of 40 shots, as in a competition qualifying round. The results showed that HRV was significantly positively correlated with self-efficacy and performance and was a significant predictor of shooting performance. In addition, advanced shooters were found to have significantly lower average heart rate before shooting and used more self-talk, relaxation, imagery, and automaticity compared to novice and intermediate shooters. HRV was found to be useful in identifying the physiological state of an athlete before competing, and as such, coaches and athletes can adopt practical strategies to improve the pre-performance physiological state as a means to optimize performance.

Predictors of serious bacterial infections in pediatric burn patients with fever.

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Vyles, David; Sinha, Madhumita; Rosenberg, David I; Foster, Kevin N; Tran, Melissa; Drachman, David

2014-01-01

To determine predictors of serious bacterial infections in pediatric burn patients with fever (core temp ≥38.5°C), the authors conducted a retrospective review of medical records of pediatric (0-18 years) patients admitted to the Arizona Burn Center between 2008 and 2011 with greater than 5% TBSA and inpatient hospitalization for ≥72 hours. The study group comprised patients with a febrile episode during their inpatient stay. Serious bacterial infection (the primary outcome variable) was defined as: bacteremia, urinary tract infection, meningitis (blood, urine, or cerebrospinal fluid culture positive for a pathogen respectively), pneumonia, line, and wound infection. A generalized estimating equation analysis was done to predict the presence or absence of serious bacterial infection. Of 1082 pediatric burn patients hospitalized during the study period, 353 met the study eligibility criteria. A total of 108 patients (30.6%) had at least one fever episode (fever group). No difference in demographic characteristics was noted between the fever and no-fever groups; significant differences were observed for: third-degree TBSA, second-degree TBSA, total operating room visits, length of stay, Injury Severity Score, and death. A total of 47.2% of the patients had one or more episodes of fever with serious bacterial infection. In a generalized estimating equation predictive model, presence of a central line, second-, and third-degree TBSA were predictive of serious bacterial infection in burn patients with fever. In this study, individual clinical variables such as tachypnea and tachycardia were not predictive of serious bacterial infections, but the presence of a central line, and larger TBSA were significant predictors of serious bacterial infections. Younger age (P =.08) and ventilator support (P =.057) also approached significance as predictors of serious bacterial infections.

Predictors of dental visits among primary school children in the rural Australian community of Lithgow.

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John, James Rufus; Mannan, Haider; Nargundkar, Subrat; D'Souza, Mario; Do, Loc Giang; Arora, Amit

2017-04-11

Regular dental attendance is significant in maintaining and improving children's oral health and well-being. This study aims to determine the factors that predict and influence dental visits in primary school children residing in the rural community of Lithgow, New South Wales (NSW), Australia. All six primary schools of Lithgow were approached to participate in a cross-sectional survey prior to implementing water fluoridation in 2014. Children aged 6-13 years (n = 667) were clinically examined for their oral health status and parents were requested to complete a questionnaire on fluoride history, diet, last dental visit, and socio-demographic characteristics. Multiple logistic regression analyses were employed to examine the independent predictors of a 6-monthly and a yearly dental visit. Overall, 53% of children visited a dentist within six months and 77% within twelve months. In multiple logistic regression analyses, age of the child and private health insurance coverage were significantly associated with both 6-monthly and twelve-month dental visits. In addition, each serve of chocolate consumption was significantly associated with a 27% higher odds (OR = 1.27, 95% CI: 1.05-1.54) of a 6-monthly dental visit. It is imperative that the socio-demographic and dietary factors that influence child oral health must be effectively addressed when developing the oral health promotion policies to ensure better oral health outcomes.

Motivation for change as a predictor of treatment response for dysthymia.

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Frías Ibáñez, Álvaro; González Vallespí, Laura; Palma Sevillano, Carol; Farriols Hernando, Núria

2016-05-01

Dysthymia constitutes a chronic, mild affective disorder characterized by heterogeneous treatment effects. Several predictors of clinical response and attendance have been postulated, although research on the role of the psychological variables involved in this mental disorder is still scarce. Fifty-four adult patients, who met criteria for dysthymia completed an ongoing naturalistic treatment based on the brief interpersonal psychotherapy (IPT-B), which was delivered bimonthly over 16 months. As potential predictor variables, the therapeutic alliance, coping strategies, perceived self-efficacy, and motivation for change were measured at baseline. Outcome variables were response to treatment (Clinical Global Impression and Beck’s Depression Inventory) and treatment attendance. Stepwise multiple linear regression analyses revealed that higher motivation for change predicted better response to treatment. Moreover, higher motivation for change also predicted treatment attendance. Therapeutic alliance was not a predictor variable of neither clinical response nor treatment attendance. These preliminary findings support the adjunctive use of motivational interviewing (MI) techniques in the treatment of dysthymia. Further research with larger sample size and follow-up assessment is warranted.

Teacher and Child Predictors of Achieving IEP Goals of Children with Autism

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Ruble, Lisa; McGrew, John H.

2013-01-01

It is encouraging that children with autism show a strong response to early intervention, yet more research is needed for understanding the variability in responsiveness to specialized programs. Treatment predictor variables from 47 teachers and children who were randomized to receive the COMPASS intervention (Ruble et al. in The collaborative model for promoting competence and success for students with ASD. Springer, New York, 2012a) were analyzed. Predictors evaluated agai...

Sleep and academic performance in undergraduates: a multi-measure, multi-predictor approach.

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Gomes, Ana Allen; Tavares, Jos; de Azevedo, Maria Helena P

2011-11-01

The present study examined the associations of sleep patterns with multiple measures of academic achievement of undergraduate university students and tested whether sleep variables emerged as significant predictors of subsequent academic performance when other potential predictors, such as class attendance, time devoted to study, and substance use are considered. A sample of 1654 (55% female) full-time undergraduates 17 to 25 yrs of age responded to a self-response questionnaire on sleep, academics, lifestyle, and well-being that was administered at the middle of the semester. In addition to self-reported measures of academic performance, a final grade for each student was collected at the end of the semester. Univariate analyses found that sleep phase, morningness/eveningness preference, sleep deprivation, sleep quality, and sleep irregularity were significantly associated with at least two academic performance measures. Among 15 potential predictors, stepwise multiple regression analysis identified 5 significant predictors of end-of-semester marks: previous academic achievement, class attendance, sufficient sleep, night outings, and sleep quality (R(2)=0.14 and adjusted R(2)=0.14, F(5, 1234)= 40.99, p academic achievement and the remaining sleep variables as well as the academic, well-being, and lifestyle variables lost significance in stepwise regression. Together with class attendance, night outings, and previous academic achievement, self-reported sleep quality and self-reported frequency of sufficient sleep were among the main predictors of academic performance, adding an independent and significant contribution, regardless of academic variables and lifestyles of the students.

Primary coronary angioplasty in 9,434 patients during acute myocardial infarction: predictors of major in- hospital adverse events from 1996 to 2000 in Brazil

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Mattos Luiz Alberto

2002-01-01

Full Text Available OBJECTIVE: To verify the results after the performance of primary coronary angioplasty in Brazil in the last 4 years. METHODS: During the first 24 hours of acute myocardial infarction onset, 9,434 (12.2% patients underwent primary PTCA. We analyzed the success and occurrence of major in-hospital events, comparing them over the 4-year period. RESULTS: Primary PTCA use increased compared with that of all percutaneous interventions (1996=10.6% vs. 2000=13.1%; p<0.001. Coronary stent implantation increased (1996=20% vs. 2000=71.9%; p<0.001. Success was greater (1998=89.5% vs. 1999=92.5%; p<0.001. Reinfarction decreased (1998=3.9% vs. 99=2.4% vs. 2000=1.5%; p<0.001 as did emergency bypass surgery (1996=0.5% vs. 2000=0.2%; p=0.01. In-hospital deaths remained unchanged (1996=5.7% vs. 2000=5.1%, p=0.53. Balloon PTCA was one of the independent predictors of a higher rate of unsuccessful procedures (odds ratio 12.01 [CI=95%] 1.58-22.94, and stent implantation of lower mortality rates (odds ratio 4.62 [CI=95%] 3.19-6.08. CONCLUSION: The success rate has become progressively higher with a significant reduction in reinfarction and urgent bypass surgery, but in-hospital death remains nearly unchanged. Coronary stenting was a predictor of a lower death rate, and balloon PTCA was associated with greater procedural failure.

Psychometric and demographic predictors of the perceived risk of terrorist threats and the willingness to pay for terrorism risk management programs.

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Mumpower, Jeryl L; Shi, Liu; Stoutenborough, James W; Vedlitz, Arnold

2013-10-01

A 2009 national telephone survey of 924 U.S. adults assessed perceptions of terrorism and homeland security issues. Respondents rated severity of effects, level of understanding, number affected, and likelihood of four terrorist threats: poisoned water supply; explosion of a small nuclear device in a major U.S. city; an airplane attack similar to 9/11; and explosion of a bomb in a building, train, subway, or highway. Respondents rated perceived risk and willingness to pay (WTP) for dealing with each threat. Demographic, attitudinal, and party affiliation data were collected. Respondents rated bomb as highest in perceived risk but gave the highest WTP ratings to nuclear device. For both perceived risk and WTP, psychometric variables were far stronger predictors than were demographic ones. OLS regression analyses using both types of variables to predict perceived risk found only two significant demographic predictors for any threat--Democrat (a negative predictor for bomb) and white male (a significant positive predictor for airline attack). In contrast, among psychometric variables, severity, number affected, and likelihood were predictors of all four threats and level of understanding was a predictor for one. For WTP, education was a negative predictor for three threats; no other demographic variables were significant predictors for any threat. Among psychometric variables, perceived risk and number affected were positive predictors of WTP for all four threats; severity and likelihood were predictors for three; level of understanding was a significant predictor for two. © 2013 Society for Risk Analysis.

Discrimination, acculturation and other predictors of depression among pregnant Hispanic women.

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Walker, Janiece L; Ruiz, R Jeanne; Chinn, Juanita J; Marti, Nathan; Ricks, Tiffany N

2012-01-01

The purpose of our study was to examine the effects of socioeconomic status, acculturative stress, discrimination, and marginalization as predictors of depression in pregnant Hispanic women. A prospective observational design was used. Central and Gulf coast areas of Texas in obstetrical offices. A convenience sample of 515 pregnant, low income, low medical risk, and self-identified Hispanic women who were between 22-24 weeks gestation was used to collect data. The predictor variables were socioeconomic status, discrimination, acculturative stress, and marginalization. The outcome variable was depression. Education, frequency of discrimination, age, and Anglo marginality were significant predictors of depressive symptoms in a linear regression model, F (6, 458) = 8.36, Pdiscrimination was the strongest positive predictor of increased depressive symptoms. It is important that health care providers further understand the impact that age and experiences of discrimination throughout the life course have on depressive symptoms during pregnancy.

Predictors of depression stigma

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Jorm Anthony F

2008-04-01

Full Text Available Abstract Background To investigate and compare the predictors of personal and perceived stigma associated with depression. Method Three samples were surveyed to investigate the predictors: a national sample of 1,001 Australian adults; a local community sample of 5,572 residents of the Australian Capital Territory and Queanbeyan aged 18 to 50 years; and a psychologically distressed subset (n = 487 of the latter sample. Personal and Perceived Stigma were measured using the two subscales of the Depression Stigma Scale. Potential predictors included demographic variables (age, gender, education, country of birth, remoteness of residence, psychological distress, awareness of Australia's national depression initiative beyondblue, depression literacy and level of exposure to depression. Not all predictors were used for all samples. Results Personal stigma was consistently higher among men, those with less education and those born overseas. It was also associated with greater current psychological distress, lower prior contact with depression, not having heard of a national awareness raising initiative, and lower depression literacy. These findings differed from those for perceived stigma except for psychological distress which was associated with both higher personal and higher perceived stigma. Remoteness of residence was not associated with either type of stigma. Conclusion The findings highlight the importance of treating the concepts of personal and perceived stigma separately in designing measures of stigma, in interpreting the pattern of findings in studies of the predictors of stigma, and in designing, interpreting the impact of and disseminating interventions for stigma.

Predictors of outcome and methodological issues in children with acute lymphoblastic leukaemia in El Salvador.

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Bonilla, Miguel; Gupta, Sumit; Vasquez, Roberto; Fuentes, Soad L; deReyes, Gladis; Ribeiro, Raul; Sung, Lillian

2010-12-01

Most children with cancer live in low-income countries (LICs) where risk factors in paediatric acute lymphoblastic leukaemia (ALL) developed in high-income countries may not apply. We describe predictors of survival for children in El Salvador with ALL. We included patients El Salvador-Guatemala-Honduras II protocol. Demographic, disease-related, socioeconomic and nutritional variables were examined as potential predictors of event-free survival (EFS) and overall survival (OS). 260/443 patients (58.7%) were classified as standard risk. Standard- and high-risk 5-year EFS were 56.3 ± 4.5% and 48.6 ± 5.5%; 5-year OS were 77.7 ± 3.8% and 61.9 ± 5.8%, respectively. Among standard-risk children, socioeconomic variables such as higher monthly income (hazard ratio [HR] per $100 = 0.84 [95% confidence interval (CI) 0.70-0.99; P=0.04]) and parental secondary education (HR = 0.49, 95% CI 0.29-0.84; P = 0.01) were associated with better EFS. Among high-risk children, higher initial white blood cell (HR per 10×10(9)/L = 1.03, 95% CI 1.02-1.05; P<0.001) predicted worse EFS; socioeconomic variables were not predictive. The difference in EFS and OS appeared related to overestimating OS secondary to poor follow-up after abandonment/relapse. Socioeconomic variables predicted worse EFS in standard-risk children while disease-related variables were predictive in high-risk patients. Further studies should delineate pathways through which socioeconomic status affects EFS in order to design effective interventions. EFS should be the primary outcome in LIC studies. Copyright © 2010 Elsevier Ltd. All rights reserved.

Predictor variables of happiness and its connection with risk and protective factors for health

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Maite eGaraigordobil

2015-08-01

Full Text Available Great thinkers, philosophers, scientists, and artists from History have often been concerned about one of the most important elements of life: happiness. The study had four goals: 1 To analyze possible differences in feelings of happiness as a function of sex and age; 2 To explore the relations of happiness with risk factors (psychopathological symptoms, behavior problems and protective factors (self-concept-self-esteem, cooperative behavior, social skills for health; 3 To identify predictor variables of happiness; and 4 To explore whether self-esteem mediates the relationship between happiness and psychopathological symptoms. The sample comprised 286 adolescents (14-16 years old. The study used a descriptive, correlational, and cross-sectional methodology. Seven assessment instruments were administered. The ANOVAs confirm that there are no sex differences, but happiness decreases as age increases. Pearson coefficients show that adolescents with more feelings of happiness had fewer psychopathological symptoms (somatization, obsession-compulsion, interpersonal sensitivity, depression, anxiety, hostility, phobic anxiety, paranoid ideation, psychoticism…, fewer behavioral problems (school-academic, antisocial behavior, shyness-withdrawal, psychopathological, psychosomatic, high social adaptation, high self-concept/self-esteem, many cooperative behaviors, many appropriate social skills, and few negative social skills (inappropriate assertiveness, impulsiveness, jealousy-withdrawal. Multiple regression analysis identified five variables predicting happiness: high self-concept, few symptoms of depression, many cooperative behaviors, high self-esteem, and low psychoticism. Results showed a partial mediational effect of self-esteem in the relation between happiness and psychopathological symptoms. The discussion focuses on the importance of implementing programs to promote feelings of happiness, as well as protective factors for health (self

Predictor variables of happiness and its connection with risk and protective factors for health

Science.gov (United States)

Garaigordobil, Maite

2015-01-01

Great thinkers, philosophers, scientists, and artists from History have often been concerned about one of the most important elements of life: happiness. The study had four goals: (1) To analyze possible differences in feelings of happiness as a function of sex and age; (2) To explore the relations of happiness with risk factors (psychopathological symptoms, behavior problems) and protective factors (self-concept-self-esteem, cooperative behavior, social skills) for health; (3) To identify predictor variables of happiness; and (4) To explore whether self-esteem mediates the relationship between happiness and psychopathological symptoms. The sample comprised 286 adolescents (14–16 years old). The study used a descriptive, correlational, and cross-sectional methodology. Seven assessment instruments were administered. The ANOVAs confirm that there are no sex differences, but happiness decreases as age increases. Pearson coefficients show that adolescents with more feelings of happiness had fewer psychopathological symptoms (somatization, obsession–compulsion, interpersonal sensitivity, depression, anxiety, hostility, phobic anxiety, paranoid ideation, psychoticism…), fewer behavioral problems (school-academic, antisocial behavior, shyness-withdrawal, psychopathological, psychosomatic), high social adaptation, high self-concept/self-esteem, many cooperative behaviors, many appropriate social skills, and few negative social skills (inappropriate assertiveness, impulsiveness, jealousy-withdrawal). Multiple regression analysis identified five variables predicting happiness: high self-concept, few symptoms of depression, many cooperative behaviors, high self-esteem, and low psychoticism. Results showed a partial mediational effect of self-esteem in the relation between happiness and psychopathological symptoms. The discussion focuses on the importance of implementing programs to promote feelings of happiness, as well as protective factors for health (self

Cognitive and emotional predictors of episodic and dispositional forgiveness

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Mróz Justyna

2017-06-01

Full Text Available The study examined the importance of cognitive (positive orientation, basic hope and emotional (positive and negative affectivity, emotional control variables for state and trait forgiveness. One hundred and thirty nine participants completed six inventories in Polish version: HFS (Thompson et al., 2005, TRIM (McCullough et al., 1998, P-Scale (Caprara et al., 2012, BHI-12 (Trzebiński & Zięba, 2003a, SUPIN (Polish version of PANAS; Watson, Clark, & Tellegen, 1988, CECS (Watson & Greer, 1983. Results showed that dispositional forgiveness (general and positive was associated with cognitive and emotional predictors, whereas episodic forgiveness primarily with certain emotional variables. In addition, the results indicated that emotional predictors merely participate in the process of reducing unforgiveness, whereas cognitive and emotional variables were shown to be necessary for full forgiveness.

Temporal predictors of health-related quality of life in elderly people with diabetes: results of a German cohort study.

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Imad Maatouk

Full Text Available BACKGROUND: The aim of the study was to determine predictors that influence health-related quality of life (HRQOL in a large cohort of elderly diabetes patients from primary care over a follow-up period of five years. METHODS AND RESULTS: At the baseline measurement of the ESTHER cohort study (2000-2002, 1375 out of 9953 participants suffered from diabetes (13.8%. 1057 of these diabetes patients responded to the second-follow up (2005-2007. HRQOL at baseline and follow-up was measured using the SF-12; mental component scores (MCS and physical component scores (PCS were calculated; multiple linear regression models were used to determine predictors of HRQOL at follow-up. As possible predictors for HRQOL, the following baseline variables were examined: treatment with insulin, glycated hemoglobin (HbA1c, number of diabetes related complications, number of comorbid diseases, Body-Mass-Index (BMI, depression and HRQOL. Regression analyses were adjusted for sociodemographic variables and smoking status. 1034 patients (97.8% responded to the SF-12 both at baseline and after five years and were therefore included in the study. Regression analyses indicated that significant predictors of decreased MCS were a lower HRQOL, a higher number of diabetes related complications and a reported history of depression at baseline. Complications, BMI, smoking and HRQOL at baseline significantly predicted PCS at the five year follow-up. CONCLUSIONS: Our findings expand evidence from previous cross-sectional data indicating that in elderly diabetes patients, depression, diabetes related complications, smoking and BMI are temporally predictive for HRQOL.

Predictors of tonic immobility during traumatic events

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Arturo Bados

2015-10-01

Full Text Available Tonic immobility (TI is a possible reaction to danger that is facilitated by intense fear, physical restraint and perceived inability to escape. Other variables that could affect TI, such as the type and characteristics of traumatic events and personal characteristics have been little or no studied. The present study evaluated the power of these variables to predict TI in a sample of 273 college students who had experienced at least one traumatic event. Of the sample, 7.7% and 13.2% responded with TI according to the two stricter definitions adopted. Most of the variables were significantly associated with TI in univariate analyses. However, in a multiple regression analysis, only certain features of the events (occurrence of physical/sexual abuse, number of different types of events experienced and certain reactions to them (perception of how traumatic were the events, severe fear response were significant predictors of TI. Since these predictors explained only 25% of the variance, the influence of other variables -such as neuroticism, negative affectivity and perceived lack of personal control or resources to cope with traumatic events- should be investigated.

Insight, rumination, and self-reflection as predictors of well-being.

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Harrington, Rick; Loffredo, Donald A

2011-01-01

Dispositional private self-focused attention variables such as insight, internal self-awareness (ISA), and self-reflectiveness (SR) have been found to relate to well-being. The present study sought to determine which dispositional private self-focused attention variables have the most predictive power for subjective well-being as measured by the Satisfaction With Life Scale (E. Diener, R. A. Emmons, R. J. Larsen, & S. Griffin, 1985) and for a eudaemonic form of well-being as measured by the Psychological Well-Being Scale (C. D. Ryff, 1989). A total of 121 college student participants completed an online version of the Self-Consciousness Scale-Revised, the Rumination-Reflection Questionnaire, the Self-Reflection and Insight Scale, the Satisfaction With Life Scale, and the Psychological WellBeing Scale. Results of a multivariate regression analysis using the Self-Consciousness Scale-Revised's (M. F. Scheier & C. S. Carver, 1985) subfactors of SR and ISA, the Rumination-Reflection Questionnaire's (P. D. Trapnell & J. D. Campbell, 1999) subscales of Rumination and Reflection, and the Self-Reflection and Insight Scale's (A. M. Grant, J. Franklin, & P. Langford, 2002) Self-Reflection and Insight subscales revealed that the Insight subscale was the only statistically significant predictor (a positive predictor) for all 6 dimensions of psychological well-being. Insight was also the only significant positive predictor for satisfaction with life. The Rumination subscale was a significant negative predictor for 3 dimensions of psychological well-being, and the Reflection subscale was a significant positive predictor for 1 dimension. Implications of dispositional self-awareness variables and their relation to dimensions of well-being are discussed.

Emotion Understanding, Social Competence and School Achievement in Children from Primary School in Portugal

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Maria da Glória Franco

2017-08-01

Full Text Available This study analyzes the relationship between emotion understanding and school achievement in children of primary school, considering age, gender, fluid intelligence, mother’s educational level and social competence. In this study participated 406 children of primary school. The instruments used were the Test of Emotion Comprehension, Colored Progressive Matrices of Raven, Socially Action and Interpersonal Problem Solving Scale. The structural equation model showed the relationship between the emotion understanding and school performance depends on a mediator variable that in the context of the study was designated social competence. Age appear as an explanatory factor of the differences found, the mother’s educational level only predicts significantly social emotional competence, fluid intelligence is a predictor of emotion understanding, school achievement and social emotional competence. Regarding the influence of sex, emotional understanding does not emerge as a significant predictor of social emotional competence in girls or boys. Multiple relationships between the various factors associated with school achievement and social emotional competence are discussed as well as their implications in promoting child development and school success.

Sternal wound complications after primary isolated myocardial revascularization: the importance of the post-operative variables.

NARCIS (Netherlands)

Noyez, L.; Druten, J.A.M. van; Mulder, J.; Schroen, A.M.; Skotnicki, S.H.; Brouwer, R.

2001-01-01

OBJECTIVE: Select pre-, peri-, and post-operative variables, predictive for sternal wound complications (SWC), in a clinical setting. METHODS: We analyzed pre-, peri-, and post-operative data of 3815 patients who underwent a primary isolated bypass grafting. 100 patients (2.6%) had post-operative

Personality variables as predictors of early non-metastatic colorectal cancer patients' psychological distress and health-related quality of life: a one-year prospective study.

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Hyphantis, Thomas; Paika, Vassiliki; Almyroudi, Augoustina; Kampletsas, Eleftherios O; Pavlidis, Nicholas

2011-05-01

We aimed to assess the course of early non-metastatic colorectal cancer patients' psychological distress and health-related quality of life (HRQOL) and to identify relevant clinical and psychological predictors during a one-year period. Of the 144 early non-metastatic colorectal cancer patients initially assessed for psychological distress symptoms (SCL-90-R), HRQOL (WHOQOL-BREF), sense of coherence (SOC), defense mechanisms (LSI) and hostility (HDHQ), 84 (58.3%) completed the one-year follow-up. Mean (SD) age was 65.1 (9.8) years and 67.4% were male. Mean (SD) disease duration was 1.7 (2.2) years, with 49.3% being diagnosed within the last six months. In 75.0% the site was at colon and in 25.0% at rectum; 2.1% had stage I, 59.0% stage II and 38.9% stage III disease. Paranoid ideation, psychoticism, interpersonal sensitivity, anxiety and depressive symptoms increased significantly over the one-year period of the study and most of the HRQOL components were significantly decreased over the same period. Men were at greater risk for further developing depressive symptomatology. Low SOC was independent predictor of depression, while hostility independently predicted anxiety, interpersonal sensitivity and psychoticism symptoms. General psychological distress and low SOC were independent predictors of HRQOL, while repression was also an independent predictor of Physical HRQOL. In early non-metastatic colorectal cancer patients, psychological distress symptoms are increased and HRQOL is decreased over one-year period. Symptoms of psychological distress are strong predictors of HRQOL, while personality variables can also predict psychological distress symptoms' increase and HRQOL decrease over time, and this could be relevant to psychological interventions. Copyright © 2010 Elsevier Inc. All rights reserved.

Evaluating the performance of different predictor strategies in regression-based downscaling with a focus on glacierized mountain environments

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Hofer, Marlis; Nemec, Johanna

2016-04-01

This study presents first steps towards verifying the hypothesis that uncertainty in global and regional glacier mass simulations can be reduced considerably by reducing the uncertainty in the high-resolution atmospheric input data. To this aim, we systematically explore the potential of different predictor strategies for improving the performance of regression-based downscaling approaches. The investigated local-scale target variables are precipitation, air temperature, wind speed, relative humidity and global radiation, all at a daily time scale. Observations of these target variables are assessed from three sites in geo-environmentally and climatologically very distinct settings, all within highly complex topography and in the close proximity to mountain glaciers: (1) the Vernagtbach station in the Northern European Alps (VERNAGT), (2) the Artesonraju measuring site in the tropical South American Andes (ARTESON), and (3) the Brewster measuring site in the Southern Alps of New Zealand (BREWSTER). As the large-scale predictors, ERA interim reanalysis data are used. In the applied downscaling model training and evaluation procedures, particular emphasis is put on appropriately accounting for the pitfalls of limited and/or patchy observation records that are usually the only (if at all) available data from the glacierized mountain sites. Generalized linear models and beta regression are investigated as alternatives to ordinary least squares regression for the non-Gaussian target variables. By analyzing results for the three different sites, five predictands and for different times of the year, we look for systematic improvements in the downscaling models' skill specifically obtained by (i) using predictor data at the optimum scale rather than the minimum scale of the reanalysis data, (ii) identifying the optimum predictor allocation in the vertical, and (iii) considering multiple (variable, level and/or grid point) predictor options combined with state

Predictor sort sampling and one-sided confidence bounds on quantiles

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Steve Verrill; Victoria L. Herian; David W. Green

2002-01-01

Predictor sort experiments attempt to make use of the correlation between a predictor that can be measured prior to the start of an experiment and the response variable that we are investigating. Properly designed and analyzed, they can reduce necessary sample sizes, increase statistical power, and reduce the lengths of confidence intervals. However, if the non- random...

Socio-cultural predictors of reading literacy in fourth graders in Lima, Peru

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Morales Silva, S.L.; Verhoeven, L.T.W.; Leeuwe, J.F.J. van

2008-01-01

This study investigates socio-cultural cognitive literacy predictors for reading literacy (RL), tested in 314 fourth graders from two different levels of social economic status in Lima, Peru. The following variables were tested as predictors: word decoding, vocabulary, motivation to read, reading

Componentes principais como preditores no mapeamento digital de classes de solos Principal components as predictor variables in digital mapping of soil classes

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Alexandre ten Caten

2011-07-01

Full Text Available Tecnologias disponíveis para a observação da Terra oferecem uma grande gama de informações sobre componentes ambientais que, por estarem relacionadas com a formação dos solos, podem ser usadas como variáveis preditoras no Mapeamento Digital de Solos (MDS. No entanto, modelos com um grande número de preditores, bem como a existência de multicolinearidade entre os dados, podem ser ineficazes no mapeamento de classes e propriedades do solo. O objetivo deste estudo foi empregar a Análise de Componentes Principais (ACP visando a selecionar e diminuir o número de preditores na regressão logística múltipla multinomial (RLMM utilizada no mapeamento de classes de solos. Nove covariáveis ambientais, ligadas ao fator de formação relevo, foram derivadas de um Modelo Digital de Elevação e denominadas variáveis originais, estas foram submetidas à ACP e transformadas em Componentes Principais (CP. As RLMM foram desenvolvidas utilizando-se atributos de terreno e as CP como variáveis explicativas. O mapa de solos gerado a partir de três CP (65,6% da variância original obteve um índice kappa de 37,3%, inferior aos 48,5% alcançado pelo mapa de solos gerado a partir de todas as nove variáveis originais.Available technologies for Earth observation offer a wide range of predictors relevant to Digital Soil Mapping (DSM. However, models with a large number of predictors, as well as, the existence of multicollinearity among the data, may be ineffective in the mapping of classes and soil properties. The aim of this study was to use the Principal Component Analysis (PCA to reduce the number of predictors in the multinomial logistic regression (MLR used in soil mapping. Nine environmental covariates, related to the relief factor of soil formation, were derived from a digital elevation model and named the original variables, which were submitted to PCA and transformed into principal components (PC. The MLR were developed using the terrain

Predictors of Primary Breast Abscesses and Recurrence

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Bharat, Ankit; Gao, Feng; Aft, Rebecca L.; Gillanders, William E.; Eberlein, Timothy J.

2014-01-01

Background We investigated the patients and microbiological risk factors that predispose to the development of primary breast abscesses and subsequent recurrence. Methods Patients with a primary breast abscess requiring surgical therapy between January 1, 2000 and December 31, 2006 were reviewed. Recurrent breast abscess was defined by the need for repeated drainage within 6 months. Patient characteristics were compared to the general population and between groups. Results A total of 89 patients with a primary breast abscess were identified; 12 (14%) were lactational and 77 (86%) were nonlactational. None of the lactational abscesses recurred, whereas 43 (57%) of the nonlactational abscesses did so (P breast abscess were predominantly African American (64% vs. 12%), had higher rates of obesity (body mass index > 30: 43% vs. 22%), and were tobacco smokers (45% vs, 23%) (P breast abscesses had a higher incidence of mixed bacteria (20.5% vs. 8.9%), anaerobes (4.5% vs. 0%), and Proteus (9.1% vs. 4.4%) but lower incidence of Staphylococcus (4.6% vs. 24.4%) (P breast abscess include African American race, obesity, and tobacco smoking. Patients with recurrent breast abscesses are more likely to be smokers and have mixed bacterial and anaerobic infections. Broader antibiotic coverage should be considered for the higher risk groups. PMID:19669231

Ethnic Variables and Negative Life Events as Predictors of Depressive Symptoms and Suicidal Behaviors in Latino College Students: On the Centrality of "Receptivo a los Demás"

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Chang, Edward C.; Yu, Elizabeth A.; Yu, Tina; Kahle, Emma R.; Hernandez, Viviana; Kim, Jean M.; Jeglic, Elizabeth L.; Hirsch, Jameson K.

2016-01-01

In the present study, we examined ethnic variables (viz., multigroup ethnic identity and other group orientation) along with negative life events as predictors of depressive symptoms and suicidal behaviors in a sample of 156 (38 male and 118 female) Latino college students. Results of conducting hierarchical regression analyses indicated that the…

Coping responses as predictors of satisfaction with life amongst a ...

African Journals Online (AJOL)

All participants completed the Coping Responses Inventory – Adult Version, as well as the Satisfaction with Life Scale. Initially, Pearson product-moment correlation coefficients were calculated to examine the relationship between the predictor variables (coping responses) and the criterion variable(satisfaction with life).

Predictors of Urgent Findings on Abdominopelvic CT in Patients with Crohn's Disease Presenting to the Emergency Department.

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Jung, Yoon Suk; Park, Dong Il; Hong, Sung Noh; Kim, Eun Ran; Kim, Young Ho; Cheon, Jae Hee; Eun, Chang Soo; Han, Dong Soo; Lee, Chang Kyun; Kim, Jae Hak; Huh, Kyu Chan; Yoon, Soon Man; Song, Hyun Joo; Shin, Jeong Eun; Jeon, Seong Ran

2015-04-01

Patients with Crohn's disease (CD) are frequently exposed to diagnostic radiation, mainly as a result of abdominopelvic computed tomography (APCT) examinations. However, there are limited data on the impact of APCT on clinical management in this population. To investigate clinical predictors of urgent findings on APCT in patients with CD who presented to the emergency department (ED). A retrospective study was performed among patients with CD presenting to 11 EDs with a gastrointestinal complaint. The primary outcome, OPAN (obstruction, perforation, abscess, or non-CD-related urgent findings), included new or worsening CD-related urgent findings or non-CD-related urgent findings that required urgent or emergency treatment. Variables with P 100 beats/min (OR 2.33, 95 % CI 1.10-4.93), leukocyte count >10,000/mm(3) (OR 4.38, 95 % CI 2.10-9.13), and CRP >2.5 mg/dL (OR 3.11, 95 % CI 1.23-7.86) were identified as the independent predictors of OPAN, whereas biologic agent use (OR 0.37; 95 % CI 0.15-0.90) was identified as the negative predictor in patients with CD. Only 39 % of the APCTs performed in the ED among patients with CD showed urgent findings. Stricturing or penetrating disease, tachycardia, leukocytosis, and high CRP level were predictors of urgent CT findings, while biologic agent use was a negative predictor. To reduce unnecessary radiation exposure, the selection process for CD patients referred for APCT must be improved.

Bias in random forest variable importance measures: Illustrations, sources and a solution

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Hothorn Torsten

2007-01-01

Full Text Available Abstract Background Variable importance measures for random forests have been receiving increased attention as a means of variable selection in many classification tasks in bioinformatics and related scientific fields, for instance to select a subset of genetic markers relevant for the prediction of a certain disease. We show that random forest variable importance measures are a sensible means for variable selection in many applications, but are not reliable in situations where potential predictor variables vary in their scale of measurement or their number of categories. This is particularly important in genomics and computational biology, where predictors often include variables of different types, for example when predictors include both sequence data and continuous variables such as folding energy, or when amino acid sequence data show different numbers of categories. Results Simulation studies are presented illustrating that, when random forest variable importance measures are used with data of varying types, the results are misleading because suboptimal predictor variables may be artificially preferred in variable selection. The two mechanisms underlying this deficiency are biased variable selection in the individual classification trees used to build the random forest on one hand, and effects induced by bootstrap sampling with replacement on the other hand. Conclusion We propose to employ an alternative implementation of random forests, that provides unbiased variable selection in the individual classification trees. When this method is applied using subsampling without replacement, the resulting variable importance measures can be used reliably for variable selection even in situations where the potential predictor variables vary in their scale of measurement or their number of categories. The usage of both random forest algorithms and their variable importance measures in the R system for statistical computing is illustrated and

Personal and organizational predictors of workplace sexual harassment of women by men.

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Dekker, I; Barling, J

1998-01-01

The authors investigated the predictors of workplace sexual harassment in 278 male university faculty and staff (M age = 45 years). Workplace variables (perceptions of organizational sanctions against harassment and perceptions of a sexualized workplace) and personal variables (adversarial sexual beliefs, sexual harassment beliefs, perspective taking, and self-esteem) were studied as predictors of sexualized and gender harassment. Social desirability was controlled. Both organizational variables and beliefs about sexual harassment predicted gender harassment and sexualized harassment. Perspective taking, adversarial sexual beliefs, and sexual harassment beliefs moderated the effects of perceived organizational sanctions against harassment on sexualized harassment. Findings are discussed as they relate to organizational efforts to reduce or prevent sexual harassment.

Time interval between primary radiotherapy and salvage laryngectomy: a predictor of pharyngocutaneous fistula formation.

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Scotton, William J; Nixon, I J; Pezier, T F; Cobb, R; Joshi, A; Urbano, T Guerrero; Oakley, R; Jeannon, J P; Simo, R S

2014-08-01

Salvage laryngectomy (SL) is associated with high levels of morbidity. Rates of pharyngocutaneous fistulae (PCF) are as high as 35 % in some series. Patients at highest risk of such complications may be candidates for altered surgical management in terms of additional tissue transfer, or delayed tracheoesophageal puncture. This study investigates the relationship between the time from primary radiotherapy (RT) to salvage surgery and the development of PCF. 26 consecutive patients who underwent SL between 2000 and 2010 were identified from our institutional database. Demographic, staging, treatment and complication data were collected. Subgroup analysis was performed using the Student's t test or Mann-Whitney U test for continuous variables and either Chi-squared test or Fisher's Exact test for categorical variables. 26 patients underwent SL between October 2003 and July 2010. Of these, 15 (58 %) developed a PCF. On analysis of the time between pre-operative RT and surgery, a significant difference was seen, with a mean time of 19.5 months in those who developed a PCF versus 47.0 months in those who did not (p = 0.02). Patient characteristics, treatment, and pathology results were comparable between the two groups. There was no significant difference in distribution of the other covariates between the PCF and non-PCF groups. We reported a high rate of PCF and identified an association between PCF and a short time from primary treatment to salvage surgery. Identifying factors associated with higher rates of post-operative morbidity allows surgeons to adapt surgical planning in an attempt to minimize rates of PCF.

Predictors of Burnout Syndrome Among Healthcare Workers in Hospitals

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Janine Kieling Monteiro

2016-06-01

Full Text Available This research aims at identifying sociodemographic and laboral predictors of burnout syndrome in 182 health workers in the hospital setting. It uses a questionnaire, Maslach Burnout Inventory, and a working context scale. In the analysis of the data a multiple regression analysis was employed. Interviewees' considering their profession as stressful was the most revealing variable with regards to the Emotional Exhaustion dimension and the low level of Professional Efficacy. As predictor variables to Cynicism the research points to negative working environments, stress upon dealing with male patients. The risk profile for burnout syndrome includes higher schooled professionals, old-timers and those who perceive their job, work scale, type and quantity of patients as stressing factors.

Clinical predictors of outcome in patients with inflammatory dilated cardiomyopathy.

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Konstantinos Karatolios

Full Text Available The study objectives were to identify predictors of outcome in patients with inflammatory dilated cardiomyopathy (DCMi.From 2004 to 2008, 55 patients with biopsy-proven DCMi were identified and followed up for 58.2±19.8 months. Predictors of outcome were identified in a multivariable analysis with a Cox proportional hazards analysis. The primary endpoint was a composite of death, heart transplantation and hospitalization for heart failure or ventricular arrhythmias.For the primary endpoint, a QTc interval >440msec (HR 2.84; 95% CI 1.03-7.87; p = 0.044, a glomerular filtration rate (GFR 440msec, a GFR<60ml/min/1.73m2 and worsening of NYHA classification during follow-up were univariate predictors of adverse prognosis. In contrast, NYHA classification at baseline, left ventricular ejection fraction, atrial fibrillation, treatment with digitalis or viral genome detection were not related to outcome. After multivariable analysis, a GFR <60ml/min/1.73m2 remained independently associated with adverse outcome.

Sociocultural predictors of motor development of athletes from ...

African Journals Online (AJOL)

Sociocultural predictors of motor development of athletes from Botswana, Lesotho and Swaziland. ... variables as they influenced the athletes' motor skill development. The social situations, family and the schools were found to significantly ...

Extreme intrafamilial variability of Saudi brothers with primary hyperoxaluria type 1

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Alfadhel M

2012-08-01

Full Text Available Majid Alfadhel,1 Khalid A Alhasan,2 Mohammed Alotaibi,3 Khalid Al Fakeeh41Division of Genetics, Department of Pediatrics, King Saud bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Riyadh, Saudi Arabia; 2Division of Nephrology Department of Pediatrics, King Saud University King Khalid University Hospital, Riyadh, Saudi Arabia; 3Department of Radiology, King Saud bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Riyadh, Saudi Arabia; 4Division of Nephrology, Department of Pediatrics, King Saud bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Riyadh, Saudi ArabiaBackground: Primary hyperoxaluria type 1 (PH1 is characterized by progressive renal insufficiency culminating in end-stage renal disease, and a wide range of clinical features related to systemic oxalosis in different organs. It is caused by autosomal recessive deficiency of alanine:glyoxylate aminotransferase due to a defect in AGXT gene.Case report: Two brothers (one 6 months old; the other 2 years old presented with acute renal failure and urinary tract infection respectively. PH1 was confirmed by high urinary oxalate level, demonstration of oxalate crystals in bone biopsy, and pathogenic homozygous known AGXT gene mutation. Despite the same genetic background, same sex, and shared environment, the outcome of the two siblings differs widely. While one of them died earlier with end-stage renal disease and multiorgan failure caused by systemic oxalosis, the older brother is pyridoxine responsive with normal development and renal function.Conclusion: Clinicians should be aware of extreme intrafamilial variability of PH1 and international registries are needed to characterize the genotype-phenotype correlation in such disorder.Keywords: primary hyperoxaluria, oxalosis, PH1, intrafamilial variability

Executive Functions as Predictors of School Performance and Social Relationships: Primary and Secondary School Students.

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Zorza, Juan Pablo; Marino, Julián; Acosta Mesas, Alberto

2016-05-12

This study examined the relationship between executive functions (EFs) and school performance in primary and secondary school students aged 8 to 13 years (N = 146, M = 10.4, 45.8% girls). EFs were evaluated using the Trail Making Test (TMT), Verbal Fluency (VF), and the Stroop Test. Students' GPAs and teachers' assessment of academic skills were used to measure school performance. To evaluate the students' social behavior, participants were asked to rate all their classmates' prosocial behavior and nominate three students with whom they preferred to do school activities; teachers also provided evaluations of students' social skills. EF measures explained 41% (p = .003, f 2 = .694) of variability in school performance and 29% (p = .005, f 2 = .401) of variance in social behavior in primary school students. The predictive power of EFs was found to be lower for secondary school students, although the TMT showed significant prediction and explained 13% (p = .004, f 2 = .149) of variance in school performance and 15% (p = .008, f 2 = .176) in peer ratings of prosocial behavior. This paper discusses the relevance of EFs in the school environment and their different predictive power in primary and secondary school students.

Predictors of outcome for cognitive behaviour therapy in binge eating disorder.

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Lammers, Mirjam W; Vroling, Maartje S; Ouwens, Machteld A; Engels, Rutger C M E; van Strien, Tatjana

2015-05-01

The aim of this naturalistic study was to identify pretreatment predictors of response to cognitive behaviour therapy in treatment-seeking patients with binge eating disorder (BED; N = 304). Furthermore, we examined end-of-treatment factors that predict treatment outcome 6 months later (N = 190). We assessed eating disorder psychopathology, general psychopathology, personality characteristics and demographic variables using self-report questionnaires. Treatment outcome was measured using the bulimia subscale of the Eating Disorder Inventory 1. Predictors were determined using hierarchical linear regression analyses. Several variables significantly predicted outcome, four of which were found to be both baseline predictors of treatment outcome and end-of-treatment predictors of follow-up: Higher levels of drive for thinness, higher levels of interoceptive awareness, lower levels of binge eating pathology and, in women, lower levels of body dissatisfaction predicted better outcome in the short and longer term. Based on these results, several suggestions are made to improve treatment outcome for BED patients. Copyright © 2015 John Wiley & Sons, Ltd and Eating Disorders Association.

Predictors for half-year outcome of impairment in daily life for back pain patients referred for physiotherapy: a prospective observational study.

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Karstens, Sven; Hermann, Katja; Froböse, Ingo; Weiler, Stephan W

2013-01-01

From observational studies, there is only sparse information available on the predictors of development of impairment in daily life for patients receiving physiotherapy. Therefore, our aim was to identify factors which predict impairment in daily life for patients with back pain 6 months after receiving physiotherapy. We conducted a prospective cohort study with 6-month follow-up. Patients were enrolled for treatment in private physiotherapy practices. Patients with a first physiotherapy referral because of thoracic or low back pain, aged 18 to 65 years were included. Primary outcome impairment was measured utilising the 16-item version of the Musculoskeletal Function Assessment Questionnaire. Therapy was documented on a standardized form. Baseline scores for impairment in daily life, symptom characteristics, sociodemographic and psychosocial factors, physical activity, nicotine consumption, intake of analgesics, comorbidity and delivered primary therapy approach were investigated as possible predictors. Univariate and multiple linear regression analyses were performed. A total of 792 patients participated in the study (59% female, mean age 44.4 (SD 11.4), with 6-month follow-up results available from 391 patients. In univariate analysis 17 variables reached significance. In multiple linear regression identified predictors were: impairment in daily life before therapy, mental disorders, duration of the complaints, self-prognosis on work ability, rheumatoid arthritis, age, form of stress at work and physical activity. The variables explain 34% of variance (adjusted R(2), pphysiotherapy patients, this study adds new knowledge for forming appropriate referral guidelines. Impairment in daily life before therapy, mental disorder as comorbidity and the duration of the complaints can be named as outstanding factors. The results of this study can be used to facilitate comparison of patient therapy goals with the prognosis in everyday practice.

Predictors of posttreatment drinking outcomes in patients with alcohol dependence.

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Flórez, Gerardo; Saiz, Pilar A; García-Portilla, Paz; De Cos, Francisco J; Dapía, Sonia; Alvarez, Sandra; Nogueiras, Luis; Bobes, Julio

2015-01-01

This cohort study examined how predictors of alcohol dependence treatment outcomes work together over time by comparing pretreatment and posttreatment predictors. A sample of 274 alcohol-dependent patients was recruited and assessed at baseline, 6 months after treatment initiation (end of the active intervention phase), and 18 months after treatment initiation (end of the 12-month research follow-up phase). At each assessment point, the participants completed a battery of standardized tests [European Addiction Severity Index (EuropASI), Obsessive Compulsive Drinking Scale (OCDS), Alcohol Timeline Followback (TLFB), Fagerström, and International Personality Disorder Examination (IPDE)] that measured symptom severity and consequences; biological markers of alcohol consumption were also tested at each assessment point. A sequential strategy with univariate and multivariate analyses was used to identify how pretreatment and posttreatment predictors influence outcomes up to 1 year after treatment. Pretreatment variables had less predictive power than posttreatment ones. OCDS scores and biological markers of alcohol consumption were the most significant variables for the prediction of posttreatment outcomes. Prior pharmacotherapy treatment and relapse prevention interventions were also associated with posttreatment outcomes. The findings highlight the positive impact of pharmacotherapy during the first 6 months after treatment initiation and of relapse prevention during the first year after treatment and how posttreatment predictors are more important than pretreatment predictors.

Predictor-Year Subspace Clustering Based Ensemble Prediction of Indian Summer Monsoon

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Moumita Saha

2016-01-01

Full Text Available Forecasting the Indian summer monsoon is a challenging task due to its complex and nonlinear behavior. A large number of global climatic variables with varying interaction patterns over years influence monsoon. Various statistical and neural prediction models have been proposed for forecasting monsoon, but many of them fail to capture variability over years. The skill of predictor variables of monsoon also evolves over time. In this article, we propose a joint-clustering of monsoon years and predictors for understanding and predicting the monsoon. This is achieved by subspace clustering algorithm. It groups the years based on prevailing global climatic condition using statistical clustering technique and subsequently for each such group it identifies significant climatic predictor variables which assist in better prediction. Prediction model is designed to frame individual cluster using random forest of regression tree. Prediction of aggregate and regional monsoon is attempted. Mean absolute error of 5.2% is obtained for forecasting aggregate Indian summer monsoon. Errors in predicting the regional monsoons are also comparable in comparison to the high variation of regional precipitation. Proposed joint-clustering based ensemble model is observed to be superior to existing monsoon prediction models and it also surpasses general nonclustering based prediction models.

Facebook Addiction: Onset Predictors.

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Biolcati, Roberta; Mancini, Giacomo; Pupi, Virginia; Mugheddu, Valeria

2018-05-23

Worldwide, Facebook is becoming increasingly widespread as a communication platform. Young people especially use this social networking site daily to maintain and establish relationships. Despite the Facebook expansion in the last few years and the widespread acceptance of this social network, research into Facebook Addiction (FA) is still in its infancy. Hence, the potential predictors of Facebook overuse represent an important matter for investigation. This study aimed to deepen the understanding of the relationship between personality traits, social and emotional loneliness, life satisfaction, and Facebook addiction. A total of 755 participants (80.3% female; n = 606) aged between 18 and 40 (mean = 25.17; SD = 4.18) completed the questionnaire packet including the Bergen Facebook Addiction Scale, the Big Five, the short version of Social and Emotional Loneliness Scale for Adults, and the Satisfaction with Life Scale. A regression analysis was used with personality traits, social, family, romantic loneliness, and life satisfaction as independent variables to explain variance in Facebook addiction. The findings showed that Conscientiousness, Extraversion, Neuroticism, and Loneliness (Social, Family, and Romantic) were strong significant predictors of FA. Age, Openness, Agreeableness, and Life Satisfaction, although FA-related variables, were not significant in predicting Facebook overuse. The risk profile of this peculiar behavioral addiction is also discussed.

Intellective and Non-Intellective Predictors of Academic Achievement at a Filipino University.

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Watkins, David; Astilla, Estela

1980-01-01

A follow-up study of 1,149 freshmen at a major Filipino university showed that intellective measures were only moderately successful predictors of college grade point average. However, the nonintellective variables considered were (with the possible exception of level of scholastic expectation) of little value as predictors of college performance.…

Variables associated with lung congestion as assessed by chest ultrasound in diabetics undergoing hemodialysis

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Paulo Roberto Santos

Full Text Available Abstract Introduction: Ultrasound is an emerging method for assessing lung congestion but is still seldom used. Lung congestion is an important risk of cardiac events and death in end-stage renal disease (ESRD patients on hemodialysis (HD. Objective: We investigated possible variables associated with lung congestion among diabetics with ESRD on HD, using chest ultrasound to detect extracellular lung water. Methods: We studied 73 patients with diabetes as the primary cause of ESRD, undergoing regular HD. Lung congestion was assessed by counting the number of B lines detected by chest ultrasound. Hydration status was assessed by bioimpedance analysis and cardiac function by echocardiography. The collapse index of the inferior vena cava (IVC was measured by ultrasonography. All patients were classified according to NYHA score. Correlations of the number of B lines with continuous variables and comparisons regarding the number of B lines according to categorical variables were performed. Multivariate linear regression was used to test the variables as independent predictors of the number of B lines. Results: None of the variables related to hydration status and cardiac function were associated with the number of B lines. In the multivariate analysis, only the IVC collapse index (b = 45.038; p < 0.001 and NYHA classes (b = 13.995; p = 0.006 were independent predictors of the number of B lines. Conclusion: Clinical evaluation based on NYHA score and measurement of the collapsed IVC index were found to be more reliable than bioimpedance analysis to predict lung congestion.

Encke-Beta Predictor for Orion Burn Targeting and Guidance

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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.

Modified Smith-predictor multirate control utilizing secondary process measurements

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Rolf Ergon

2007-01-01

Full Text Available The Smith-predictor is a well-known control structure for industrial time delay systems, where the basic idea is to estimate the non-delayed process output by use of a process model, and to use this estimate in an inner feedback control loop combined with an outer feedback loop based on the delayed estimation error. The model used may be either mechanistic or identified from input-output data. The paper discusses improvements of the Smith-predictor for systems where also secondary process measurements without time delay are available as a basis for the primary output estimation. The estimator may then be identified also in the common case with primary outputs sampled at a lower rate than the secondary outputs. A simulation example demonstrates the feasibility and advantages of the suggested control structure.

Lifestyle and gallstone disease: Scope for primary prevention

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Sandeep Sachdeva

2011-01-01

Full Text Available Objective : To study the antecedent risk factors in the causation of gallstone disease in a hospital-based case control study. Materials and Methods: Cases (n = 150 from all age groups and both sexes with sonographically proven gallstones were recruited over a duration of 3 months from the surgical wards of a tertiary care teaching hospital. Modes of presentation were also noted among cases. Age- and sex-matched controls (n = 150 were chosen from among ward inmates admitted for other reasons. Univariate and multivariate logistic regression analyses were performed for selected sociodemographic, dietary, and lifestyle-related variables. Results : Females had a higher prevalence of gallstone disease than males (P 60 years was relatively more susceptible (28%. Prepubertal age group was least afflicted (3.3%. Univariate analysis revealed multiparity, high fat, refined sugar, and low fiber intakes to be significantly associated with gallstones. Sedentary habits, recent stress, and hypertension were also among the significant lifestyle-related factors. High body mass index and waist hip ratios, again representing unhealthy lifestyles, were the significant anthropometric covariates. However, only three of these, viz., physical inactivity, high saturated fats, and high waist hip ratio emerged as significant predictors on stepwise logistic regression analysis (P < 0.05. Conclusion : Gallstone disease is frequent among females and elderly males. Significant predictor variables are abdominal adiposity, inadequate physical activity, and high intake of saturated fats; thus representing high risk lifestyles and yet amenable to primary prevention.

Small cell carcinoma of the head and neck: A comparative study by primary site based on population data.

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Kuan, Edward C; Alonso, Jose E; Tajudeen, Bobby A; Arshi, Armin; Mallen-St Clair, Jon; St John, Maie A

2017-08-01

Small cell carcinoma (SmCC) of the head and neck is an extremely rare neuroendocrine malignancy. In this study, we describe the incidence and determinants of survival of patients with SmCC of the head and neck between the years of 1973 and 2012 using the Surveillance, Epidemiology, and End Results database as differed by primary site. Retrospective, population-based cohort study. A total of 237 cases of SmCC of the head and neck were identified, which was divided into sinonasal primaries (n = 82) and all other head and neck primaries (n = 155). Clinicopathologic and epidemiologic variables were analyzed as predictors of overall survival (OS) and disease-specific survival (DSS) based on the Kaplan-Meier method. More than half of sinonasal primaries presented with Kadish stage C or D. On multivariate analysis, surgery was the only independent predictor of improved DSS (P = .008) for sinonasal primaries; in contrast, radiation therapy was a favorable prognosticator for OS (P = .007) and DSS (P = .043) in extrasinonasal sites. Comparison of survival between sinonasal primaries and all other sites demonstrated that sinonasal SmCC had uniformly better OS (P = .002) and DSS (P = .006). SmCC in the head and neck remains rare, and sinonasal primaries appear to have improved survival compared to other sites. Based on these results, optimal treatment for sinonasal SmCC appears to be surgical therapy, whereas radiation therapy is the preferred treatment for SmCC of other primary sites, particularly the larynx. 4. Laryngoscope, 127:1785-1790, 2017. © 2016 The American Laryngological, Rhinological and Otological Society, Inc.

Short-Term Blood Pressure Variability Relates to the Presence of Subclinical Brain Small Vessel Disease in Primary Hypertension.

Science.gov (United States)

Filomena, Josefina; Riba-Llena, Iolanda; Vinyoles, Ernest; Tovar, José L; Mundet, Xavier; Castañé, Xavier; Vilar, Andrea; López-Rueda, Antonio; Jiménez-Baladó, Joan; Cartanyà, Anna; Montaner, Joan; Delgado, Pilar

2015-09-01

Blood pressure (BP) variability is associated with stroke risk, but less is known about subclinical cerebral small vessel disease (CSVD). We aimed to determine whether CSVD relates to short-term BP variability independently of BP levels and also, whether they improve CSVD discrimination beyond clinical variables and office BP levels. This was a cohort study on asymptomatic hypertensives who underwent brain magnetic resonance imaging and 24-hour ambulatory BP monitoring. Office and average 24-hour, daytime and nighttime BP levels, and several metrics of BP variability (SD, weighted SD, coefficient of variation, and average real variability [ARV]) were calculated. Definition of CSVD was based on the presence of lacunar infarcts and white matter hyperintensity grades. Multivariate analysis and integrated discrimination improvement were performed to assess whether BP variability and levels were independently associated with CSVD and improved its discrimination. Four hundred eighty-seven individuals participated (median age, 64; 47% women). CSVD was identified in 18.9%, related to age, male sex, diabetes mellitus, use of treatment, ambulatory BP monitoring-defined BP levels, and ARV of systolic BP at any period. The highest prevalence (33.7%) was found in subjects with both 24-hour BP levels and ARV elevated. BP levels at any period and ARV (24 hours and nocturnal) emerged as independent predictors of CSVD, and discrimination was incrementally improved although not to a clinically significant extent (integrated discrimination improvement, 5.31%, 5.17% to 5.4%). Ambulatory BP monitoring-defined BP levels and ARV of systolic BP relate to subclinical CSVD in hypertensive individuals. © 2015 American Heart Association, Inc.

Adolescent Mothers and Depression: Predictors of Resilience and Risk through the Toddler Years

Science.gov (United States)

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…

Teacher and child predictors of achieving IEP goals of children with autism.

Science.gov (United States)

Ruble, Lisa; McGrew, John H

2013-12-01

It is encouraging that children with autism show a strong response to early intervention, yet more research is needed for understanding the variability in responsiveness to specialized programs. Treatment predictor variables from 47 teachers and children who were randomized to receive the COMPASS intervention (Ruble et al. in The collaborative model for promoting competence and success for students with ASD. Springer, New York, 2012a) were analyzed. Predictors evaluated against child IEP goal attainment included child, teacher, intervention practice, and implementation practice variables based on an implementation science framework (Dunst and Trivette in J Soc Sci 8:143-148, 2012). Findings revealed one child (engagement), one teacher (exhaustion), two intervention quality (IEP quality for targeted and not targeted elements), and no implementation quality variables accounted for variance in child outcomes when analyzed separately. When the four significant variables were compared against each other in a single regression analysis, IEP quality accounted for one quarter of the variance in child outcomes.

Psychosocial predictors of treatment outcome for trauma-affected refugees

DEFF Research Database (Denmark)

Sonne, Charlotte; Carlsson, Jessica; Bech, Per

2016-01-01

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...

Heteroscedasticity generated by errors in predictors

Energy Technology Data Exchange (ETDEWEB)

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.

Self-Concept among Primary School Students According to Gender and Academic Achievement Variables in Jordan

Science.gov (United States)

Al-Srour, Nadia Hayel; Al-Ali, Safa Mohammad

2013-01-01

The aim of this study is to explore the level of self-concept among primary school students according to gender and academic achievement variables in Amman. A random sample was chosen from fourth, fifth and sixth grades in private schools in Amman city. The sample of the study consisted of (365) male and female students, (177) males and (188)…

Primary care, depression, and anxiety: exploring somatic and emotional predictors of mental health status in adolescents.

Science.gov (United States)

Dumont, Ian P; Olson, Ardis L

2012-01-01

A growing body of research points to regular, comprehensive mental health screening in primary care practices as an effective tool, but a thorough and efficient approach is not yet widely used. The purpose of this report is to describe the pattern of mental health-related concerns, protective and social risk factors reported by adolescents during routine well-child visits in primary care settings, and their occurrence among teens that screen positive for either depression or anxiety with brief validated measures. A personal digital assistant-based questionnaire was administered as part of clinical care to adolescents 11 to 18 years old (N = 2184) attending preventive well-child visits in 13 pediatric and family medicine primary care practices in a northern New England practice-based research network over 18 months (2008 to 2009). Depressive and anxiety-related symptoms were assessed using the 2-question versions of the Patient Health Questionnaire and Generalized Anxiety Disorder scale, respectively. Analyses determined the role that the protective and social risk factors played in determining who screens positive for depression and anxiety. In the fully adjusted model, risk factors that were significant (P stress (AOR, 3.59); anger (AOR, 1.94); and worries about family alcohol and drug use (AOR, 2.69). Among protective factors, that is, those that reduce the risk of depression, age (AOR, 0.87 for younger patients); having parents who listen (AOR, 0.34); and having more assets (AOR, 0.65) were significant. Significant predictors of screening positive for anxiety included substance use (AOR, 1.97); stress (AOR, 6.10); anger (AOR, 2.31); trouble sleeping (AOR, 1.75), and the sex of the adolescent (AOR, 1.87 for girls). Although having parents who listen was still a significant protective factor for anxiety (AOR, 2.26), other assets were not significant. Comprehensive primary care mental health screening that considers both anxiety and depression while including

The VALUE perfect predictor experiment: evaluation of temporal variability

Czech Academy of Sciences Publication Activity Database

Maraun, D.; Huth, Radan; Gutiérrez, J. M.; Martín, D. S.; Dubrovský, Martin; Fischer, A.; Hertig, E.; Soares, S. M. M.; Bartholy, J.; Pongrácz, R.; Widmann, M.; Casado, M. J.; Ramos, P.; Bedia, J.

(2017) ISSN 0899-8418 R&D Projects: GA MŠk LD12029 Institutional support: RVO:68378289 Keywords : regional climate * downscaling * evaluation * validation * temporal variability * spells * interannual variability * long-term trends Subject RIV: DG - Athmosphere Sciences, Meteorology Impact factor: 3.760, year: 2016 http://onlinelibrary.wiley.com/doi/10.1002/joc.5222/abstract

Cognitive predictors of adaptive functioning in children with symptomatic epilepsy.

Science.gov (United States)

Kerr, Elizabeth N; Fayed, Nora

2017-10-01

The current study sought to understand the contribution of the attention and working memory challenges experienced by children with active epilepsy without an intellectual disability to adaptive functioning (AF) while taking into account intellectual ability, co-occurring brain-based psychosocial diagnoses, and epilepsy-related variables. The relationship of attention and working memory with AF was examined in 76 children with active epilepsy with intellectual ability above the 2nd percentile recruited from a tertiary care center. AF was measured using the Scales of Independent Behavior-Revised (SIB-R) and compared with norm-referenced data. Standardized clinical assessments of attention span, sustained attention, as well as basic and more complex working memory were administered to children. Commonality analysis was used to investigate the importance of the variables with respect to the prediction of AF and to construct parsimonious models to elucidate the factors most important in explaining AF. Seventy-one percent of parents reported that their child experienced mild to severe difficulties with overall AF. Similar proportions of children displayed limitations in domain-specific areas of AF (Motor, Social/Communication, Person Living, and Community Living). The reduced models for Broad and domain-specific AF produced a maximum of seven predictor variables, with little loss in overall explained variance compared to the full models. Intellectual ability was a powerful predictor of Broad and domain-specific AF. Complex working memory was the only other cognitive predictor retained in each of the parsimonious models of AF. Sustained attention and complex working memory explained a large amount of the total variance in Motor AF. Children with a previously diagnosed comorbidity displayed lower Social/Communication, Personal Living, and Broad AF than those without a diagnosis. At least one epilepsy-related variable appeared in each of the reduced models, with age of

Feminist identity as a predictor of eating disorder diagnostic status.

Science.gov (United States)

Green, Melinda A; Scott, Norman A; Riopel, Cori M; Skaggs, Anna K

2008-06-01

Passive Acceptance (PA) and Active Commitment (AC) subscales of the Feminist Identity Development Scale (FIDS) were examined as predictors of eating disorder diagnostic status as assessed by the Questionnaire for Eating Disorder Diagnoses (Q-EDD). Results of a hierarchical regression analysis revealed PA and AC scores were not statistically significant predictors of ED diagnostic status after controlling for diagnostic subtype. Results of a multiple regression analysis revealed FIDS as a statistically significant predictor of ED diagnostic status when failing to control for ED diagnostic subtype. Discrepancies suggest ED diagnostic subtype may serve as a moderator variable in the relationship between ED diagnostic status and FIDS. (c) 2008 Wiley Periodicals, Inc.

Predictors of Male Condom Utilization in Plateau State, Nigeria

African Journals Online (AJOL)

2017-10-26

Oct 26, 2017 ... State. The predictors of condom use are level of wealth, being unmarried, and primary level of .... barriers. However, condom cost, gender inequality, ..... Kamal and Huda in India,[32] using the 2006 Indian DHS, found that ...

Extracorporeal Membrane Oxygenation for Adult Community-Acquired Pneumonia: Outcomes and Predictors of Mortality.

Science.gov (United States)

Ramanathan, Kollengode; Tan, Chuen Seng; Rycus, Peter; MacLaren, Graeme

2017-05-01

Extracorporeal membrane oxygenation is a rescue therapy used to support severe cardiorespiratory failure. Data on outcomes from severe community-acquired pneumonia in adults receiving rescue extracorporeal membrane oxygenation are mainly confined to single-center experiences or specific pathogens. We examined data from the Extracorporeal Life Support Organisation registry to identify risk factors for poor outcomes in adult patients with community-acquired pneumonia. Retrospective data analysis. Extracorporeal Life Support Organization Registry database. We collected deidentified data on adult patients (> 18 yr) receiving extracorporeal membrane oxygenation for community-acquired pneumonia between 2002 and 2012. Patients with incomplete data or brain death were excluded. The primary outcome measure was in-hospital mortality. Other measurements included demographic information, pre-extracorporeal membrane oxygenation mechanical ventilation and biochemical variables, inotrope requirements, extracorporeal membrane oxygenation mode, duration, and complications. Initial univariate analysis assessed potential associations between survival and various pre-extracorporeal membrane oxygenation and extracorporeal membrane oxygenation factors. Variables with p values of less than 0.1 were considered for logistic regression analysis to identify predictors of mortality. None. One thousand fifty-five patients, who satisfied inclusion criteria, were included in the final analysis. There was an increase in the number of patients cannulated per annum over the 10-year period studied. Univariate analysis identified pre-extracorporeal membrane oxygenation and extracorporeal membrane oxygenation variables associated with high mortality. Further multiple regression analysis identified certain pre-extracorporeal membrane oxygenation factors as predictors of mortality, including duration of mechanical ventilation prior to extracorporeal membrane oxygenation, lower arterial pressure, fungal

Predictors of First-Year Sultan Qaboos University Students' Grade Point Average

Science.gov (United States)

Alkhausi, Hussain Ali; Al-Yahmadi, Hamad; Al-Kalbani, Muna; Clayton, David; Al-Barwani, Thuwayba; Al-Sulaimani, Humaira; Neisler, Otherine; Khan, Mohammad Athar

2015-01-01

This study investigated predictors of first-year university grade point average (GPA) using academic and nonacademic variables. Data were collected from 1511 Omani students selected conveniently from the population of students entering Sultan Qaboos University (SQU) in Fall 2010. Variables considered in the analysis were general education diploma…

Predictors of Availing Maternal Health Schemes: A community based study in Gujarat, India

Directory of Open Access Journals (Sweden)

Kranti Suresh Vora

2014-06-01

Full Text Available Background: India continues to face challenges in improving key maternal health indicators with about 1/3rd of global maternal deaths happening in India. Utilization of health care services is an important issue in India with significant proportion of home deliveries and majority of mothers not receiving adequate antenatal care. Mortality among poor rural women is the highest with lowest utilization. To make maternal healthcare more equitable, numerous schemes such as Janani Suraksha Yojana, Chiranjeevi Yojana, Kasturba Poshan Sahay Yojana have been introduced. Studies suggest that utilization of such schemes by target population is low and there is a need to understand factors affecting maternal health care utilization in the context of these schemes. Current community based study was done in rural Gujarat to understand characteristics of women who utilize such schemes and predictors of utilization. Methodology: Data collection was done in two districts of Gujarat from June to August, 2013 as a pilot phase of MATIND project. Community based cross-sectional study included 827 households and socio-demographic details of 1454 women of 15-49 years age groups were collected. 265 mothers, who had delivered after 1st January, 2013 are included in the regression analyses. The data analysis carried out with R version 3.0.1 software.  Results: The analysis indicates socioeconomic variables such as caste, maternal variables such as education and health system variables such as use of government facility are important predictors of maternal health scheme utilization. Results suggest that socioeconomic and health system factors are the best predictors for availing scheme. Conclusion: Health system variables along with individual level variables are important predictors for availing maternal health schemes. The study indicates the need to examine all levels of predictors for utilizing government health schemes to maximize the benefit for underserved

First-grade cognitive abilities as long-term predictors of reading comprehension and disability status.

Science.gov (United States)

Fuchs, Douglas; Compton, Donald L; Fuchs, Lynn S; Bryant, V Joan; Hamlett, Carol L; Lambert, Warren

2012-01-01

In a sample of 195 first graders selected for poor reading performance, the authors explored four cognitive predictors of later reading comprehension and reading disability (RD) status. In fall of first grade, the authors measured the children's phonological processing, rapid automatized naming (RAN), oral language comprehension, and nonverbal reasoning. Throughout first grade, they also modeled the students' reading progress by means of weekly Word Identification Fluency (WIF) tests to derive December and May intercepts. The authors assessed their reading comprehension in the spring of Grades 1-5. With the four cognitive variables and the WIF December intercept as predictors, 50.3% of the variance in fifth-grade reading comprehension was explained: 52.1% of this 50.3% was unique to the cognitive variables, 13.1% to the WIF December intercept, and 34.8% was shared. All five predictors were statistically significant. The same four cognitive variables with the May (rather than December) WIF intercept produced a model that explained 62.1% of the variance. Of this amount, the cognitive variables and May WIF intercept accounted for 34.5% and 27.7%, respectively; they shared 37.8%. All predictors in this model were statistically significant except RAN. Logistic regression analyses indicated that the accuracy with which the cognitive variables predicted end-of-fifth-grade RD status was 73.9%. The May WIF intercept contributed reliably to this prediction; the December WIF intercept did not. Results are discussed in terms of a role for cognitive abilities in identifying, classifying, and instructing students with severe reading problems.

An Investigation on Primary School Teachers’ Perceptions of Effective Citizenship Proficiency byCertain Variables

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Halil İbrahim SAĞLAM

2012-11-01

Full Text Available Citizenship can be defined as political belonging to the state. Citizenship consists of relationships between the state and the individuals. In order to maintain the relationships between the state and the citizens wholesomely, it is necessary to fulfill rights and responsibilities mutually. Thanks to this fact, citizenship education has become common interest of whole humanity. In this sense; primary education is a crucial step in developing citizenship consciousness. The fact that students in this level are proned to pattern themselves after their teacher and that teacher are perceived as professionalists followed by society further increase the significance of effective citizenship proficiency levels of teachers. Consequently, determining effective citizenship proficiency levels of the teachers who work in primary education constitutes the main purpose of this study. In addition, it is aimed to determine whether the teachers’ gender, field of study, marital status, length of service, whether they prefer teaching profession willingfully and whether they are pleased with teachership or not lead to differentiation in their “effective proficiency levels”.The purpose of this study is to reveal primary school teachers’ effective citizenship proficiencies. The study employed a 23-item inventory of effective citizenship proficiencies, which consisted of two sub-dimensions, namely “citizenship values” and “citizenship knowledge and skills”. The inner consistency coefficient of the inventory is 0.89. The study was conducted on a total of 214 teachers, 108 of them being female (50.5% and the remaining 106 of them (49.5% being male, during the Spring Term of the Educational Year 2010-2011. The level of significance for data analysis was accepted as 0.50. The data were analyzed in accordance with the sub-dimensions. Firstly, the normality of the distribution of the variables was studied through the Kolmogorov-Smirnov test in an attempt to

A Case for Including Atmospheric Thermodynamic Variables in Wind Turbine Fatigue Loading Parameter Identification

International Nuclear Information System (INIS)

Kelley, Neil D.

1999-01-01

This paper makes the case for establishing efficient predictor variables for atmospheric thermodynamics that can be used to statistically correlate the fatigue accumulation seen on wind turbines. Recently, two approaches to this issue have been reported. One uses multiple linear-regression analysis to establish the relative causality between a number of predictors related to the turbulent inflow and turbine loads. The other approach, using many of the same predictors, applies the technique of principal component analysis. An examination of the ensemble of predictor variables revealed that they were all kinematic in nature; i.e., they were only related to the description of the velocity field. Boundary-layer turbulence dynamics depends upon a description of the thermal field and its interaction with the velocity distribution. We used a series of measurements taken within a multi-row wind farm to demonstrate the need to include atmospheric thermodynamic variables as well as velocity-related ones in the search for efficient turbulence loading predictors in various turbine-operating environments. Our results show that a combination of vertical stability and hub-height mean shearing stress variables meet this need over a period of 10 minutes

Predictors of major postoperative cardiac complications in a surgical ICU.

Science.gov (United States)

Maia, Paula C; Abelha, Fernando J

2008-03-01

Cardiovascular complications are associated with increased mortality and morbidity during the postoperative period, resulting in longer hospital stay and higher treatment costs. The aim of this study was to identify predictors of major postoperative cardiac complications. 187 patients undergoing noncardiac surgery, admitted to a surgical intensive care unit (ICU) between November 2004 and April 2005. Variables recorded were age, gender, American Society of Anesthesiologists (ASA) physical status, type and magnitude of surgery, mortality, ICU and hospital length of stay (LOS), Simplified Acute Physiology Score II (SAPS II), cardiac troponin I (cTnI) at postoperative day 0, 1, 2 and 3, history of hypertension, hyperlipidemia, Revised Cardiac Risk Index (RCRI) score, major cardiac events (MCE): acute myocardial infarction (AMI), pulmonary edema (PE), ventricular fibrillation (VF) or primary cardiac arrest (PCA). Correlations between variables and MCE were made by univariate analysis by simple logistic regression with odds ratio (OR) and 95% confidence interval (95% CI). Total of 14 MCE: 9 AMI, 1 VF, 4 PE. Significant risk factors for MCE were high-risk surgery (OR 8.26, 95% CI 1.76-38.85, p = 0.008), RCRI > or = 2 (OR 4.0, 95% CI 1.22-13.16, p = 0.022), admission cTnI (OR 1.46, 95% CI 1.07-1.99, p = 0.018); day 1 cTnI (OR 1.75, 95% CI 1.27-2.41, p = 0.001); day 2 cTnI (OR 2.23, 95% CI 1.24-3.98, p = 0.007), SAPS II (OR 1.08, 95% CI 1.04-1.12, p or = 2, cTnI levels and SAPS II were predictors of postoperative MCE. Patients with MCE had longer ICU stay and higher mortality rate.

Psychosocial predictors of treatment outcome for trauma-affected refugees

DEFF Research Database (Denmark)

Sonne, Charlotte; Carlsson, Jessica; Bech, Per

2016-01-01

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...

Subjective and Objective Measures of Dryness Symptoms in Primary Sjögren's Syndrome: Capturing the Discrepancy.

Science.gov (United States)

Bezzina, Oriana M; Gallagher, Peter; Mitchell, Sheryl; Bowman, Simon J; Griffiths, Bridget; Hindmarsh, Victoria; Hargreaves, Ben; Price, Elizabeth J; Pease, Colin T; Emery, Paul; Lanyon, Peter; Bombardieri, Michele; Sutcliffe, Nurhan; Pitzalis, Costantino; Hunter, John; Gupta, Monica; McLaren, John; Cooper, Anne M; Regan, Marian; Giles, Ian P; Isenberg, David A; Saravanan, Vadivelu; Coady, David; Dasgupta, Bhaskar; McHugh, Neil J; Young-Min, Steven A; Moots, Robert J; Gendi, Nagui; Akil, Mohammed; MacKay, Kirsten; Ng, W Fai; Robinson, Lucy J

2017-11-01

To develop a novel method for capturing the discrepancy between objective tests and subjective dryness symptoms (a sensitivity scale) and to explore predictors of dryness sensitivity. Archive data from the UK Primary Sjögren's Syndrome Registry (n = 688) were used. Patients were classified on a scale from -5 (stoical) to +5 (sensitive) depending on the degree of discrepancy between their objective and subjective symptoms classes. Sensitivity scores were correlated with demographic variables, disease-related factors, and symptoms of pain, fatigue, anxiety, and depression. Patients were on average relatively stoical for both types of dryness symptoms (mean ± SD ocular dryness -0.42 ± 2.2 and -1.24 ± 1.6 oral dryness). Twenty-seven percent of patients were classified as sensitive to ocular dryness and 9% to oral dryness. Hierarchical regression analyses identified the strongest predictor of ocular dryness sensitivity to be self-reported pain and that of oral dryness sensitivity to be self-reported fatigue. Ocular and oral dryness sensitivity can be classified on a continuous scale. The 2 symptom types are predicted by different variables. A large number of factors remain to be explored that may impact symptom sensitivity in primary Sjögren's syndrome, and the proposed method could be used to identify relatively sensitive and stoical patients for future studies. © 2016, The Authors. Arthritis Care & Research published by Wiley Periodicals, Inc. on behalf of American College of Rheumatology.

Predictors of renal scar in children with urinary infection and vesicoureteral reflux.

Science.gov (United States)

Soylu, Alper; Demir, Belde Kasap; Türkmen, Mehmet; Bekem, Ozlem; Saygi, Murat; Cakmakçi, Handan; Kavukçu, Salih

2008-12-01

We evaluated the predictors of renal scar in children with urinary tract infections (UTIs) having primary vesicoureteral reflux (VUR). Data of patients who were examined by dimercaptosuccinic acid (DMSA) scintigraphy between 1995 and 2005 were evaluated retrospectively. Gender, age, reflux grade, presence/development of scarring, breakthrough UTIs, and resolution of reflux, were recorded. The relation of gender, age and VUR grade to preformed scarring and the relation of gender, age, VUR grade, presence of preformed scarring, number of breakthrough UTIs and reflux resolution to new scarring were assessed. There were 138 patients [male/female (M/F) 53/85]. Multivariate analysis showed that male gender [odds ratio (OR) 2.5], age > or = 27 months in girls (OR 4.2) and grades IV-V reflux (OR 12.4) were independent indicators of renal scarring. On the other hand, only the presence of previous renal scarring was found to be an independent indicator for the development of new renal scar (OR 13.4). In conclusion, while the most predictive variables for the presence of renal scarring among children presenting with a UTI were male gender, age > or = 27 months in girls, and grades IV-V reflux, the best predictor of new scar formation was presence of previous renal scarring.

A statistical-dynamical scheme for reconstructing ocean forcing in the Atlantic. Part I: weather regimes as predictors for ocean surface variables

Energy Technology Data Exchange (ETDEWEB)

Cassou, Christophe; Minvielle, Marie; Terray, Laurent [CERFACS/CNRS, Climate Modelling and Global Change Team, Toulouse (France); Perigaud, Claire [JPL-NASA, Ocean Science Element, Pasadena, CA (United States)

2011-01-15

The links between the observed variability of the surface ocean variables estimated from reanalysis and the overlying atmosphere decomposed in classes of large-scale atmospheric circulation via clustering are investigated over the Atlantic from 1958 to 2002. Daily 500 hPa geopotential height and 1,000 hPa wind anomaly maps are classified following a weather-typing approach to describe the North Atlantic and tropical Atlantic atmospheric dynamics, respectively. The algorithm yields patterns that correspond in the extratropics to the well-known North Atlantic-Europe weather regimes (NAE-WR) accounting for the barotropic dynamics, and in the tropics to wind classes (T-WC) representing the alteration of the trades. 10-m wind and 2-m temperature (T2) anomaly composites derived from regime/wind class occurrence are indicative of strong relationships between daily large-scale atmospheric circulation and ocean surface over the entire Atlantic basin. High temporal correlation values are obtained basin-wide at low frequency between the observed fields and their reconstruction by multiple linear regressions with the frequencies of occurrence of both NAE-WR and T-WC used as sole predictors. Additional multiple linear regressions also emphasize the importance of accounting for the strength of the daily anomalous atmospheric circulation estimated by the combined distances to all regimes centroids in order to reproduce the daily to interannual variability of the Atlantic ocean. We show that for most of the North Atlantic basin the occurrence of NAE-WR generally sets the sign of the ocean surface anomaly for a given day, and that the inter-regime distances are valuable predictors for the magnitude of that anomaly. Finally, we provide evidence that a large fraction of the low-frequency trends in the Atlantic observed at the surface over the last 50 years can be traced back, except for T2, to changes in occurrence of tropical and extratropical weather classes. All together, our

Demographic, Medical, and Psychosocial Predictors of Pregnancy Anxiety.

Science.gov (United States)

Dunkel Schetter, Christine; Niles, Andrea N; Guardino, Christine M; Khaled, Mona; Kramer, Michael S

2016-09-01

Pregnancy anxiety is associated with risk of preterm birth and an array of other birth, infant, and childhood outcomes. However, previous research has not helped identify those pregnant women at greatest risk of experiencing this specific, contextually-based affective condition. We examined associations between demographic, medical, and psychosocial factors and pregnancy anxiety at 24-26 weeks of gestation in a prospective, multicentre cohort study of 5271 pregnant women in Montreal, Canada. Multivariate analyses indicated that higher pregnancy anxiety was independently related to having an unintended pregnancy, first birth, higher medical risk, and higher perceived risk of complications. Among psychosocial variables, higher pregnancy anxiety was associated with lower perceived control of pregnancy, lower commitment to the pregnancy, more stressful life events, higher perceived stress, presence of job stress, lower self-esteem and more social support. Pregnancy anxiety was also higher in women who had experienced early income adversity and those who did not speak French as their primary language. Psychosocial variables explained a significant amount of the variance in pregnancy anxiety independently of demographic and medical variables. Women with pregnancy-related risk factors, stress of various kinds, and other psychosocial factors experienced higher pregnancy anxiety in this large Canadian sample. Some of the unique predictors of pregnancy anxiety match those of earlier US studies, while others point in new directions. Screening for high pregnancy anxiety may be warranted, particularly among women giving birth for the first time and those with high-risk pregnancies. © 2016 John Wiley & Sons Ltd.

Predictors of Stress in Nigerian Executives | Adeoye | Nigerian ...

African Journals Online (AJOL)

Eight major predictor variables of workload, role, career prospects, organizational structure and climate, interpersonal relations, environment, home and private life were tested using simple regression analysis. Also, public and private sector executives were compared on the basis of age and working experience. All results ...

Study on predictors of health outcome in patients attending hypertension intervention programme in Malaysia.

OpenAIRE

Wahab, Rasidah Abd.

2008-01-01

The aim of this study is to explore predictor of health outcomes among Malaysian hypertensive patients attending a standard hypertension intervention programme. Among the psychological predictors studied are illness perception, health locus of control, and self-efficacy. Quality of life, anxiety and depression and demographic variables are among the predictors included in the study. Two series of studies were conducted to answer the research question formulated for each study. Study 1 aims to...

Primary Tumor Site as a Predictor of Treatment Outcome for Definitive Radiotherapy of Advanced-Stage Oral Cavity Cancers

International Nuclear Information System (INIS)

Lin, Chien-Yu; Wang, Hung-Ming; Kang, Chung-Jan; Lee, Li-Yu; Huang, Shiang-Fu; Fan, Kang-Hsing; Chen, Eric Yen-Chao

2010-01-01

Purpose: To evaluate the outcome of definitive radiotherapy (RT) for oral cavity cancers and to assess prognostic factors. Methods and Materials: Definitive RT was performed on 115 patients with oral cavity cancers at Stages III, IVA, and IVB, with a distribution of 6%, 47%, and 47%, respectively. The median dose of RT was 72Gy (range, 62-76Gy). Cisplatin-based chemotherapy was administered to 95% of the patients. Eleven patients underwent salvage surgery after RT failure. Results: Eight-eight (76.5%) patients responded partially and 23 (20%) completely; of the patients who responded, 18% and 57%, respectively, experienced a durable effect of treatment. The 3-year overall survival, disease-specific survival, and progression-free survival were 22%, 27%, and 25%, respectively. The 3-year PFS rates based on the primary tumor sites were as follows: Group I (buccal, mouth floor, and gum) 51%, Group II (retromolar and hard palate) 18%, and Group III (tongue and lip) 6% (p < 0.0001). The 3-year progression-free survival was 41% for N0 patients and 19% for patients with N+ disease (p = 0.012). The T stage and RT technique did not affect survival. The patients who underwent salvage surgery demonstrated better 3-year overall survival and disease-specific survival (53% vs. 19%, p = 0.015 and 53% vs. 24%, p = 0.029, respectively). Subsite group, N+, and salvage surgery were the only significant prognostic factors for survival after multivariate analysis. Conclusion: The primary tumor site and neck stage are prognostic predictors in advanced-stage oral cancer patients who received radical RT. The primary tumor extension and RT technique did not influence survival.

HIV Infection Status as a Predictor of Hepatitis C Virus RNA Testing in Primary Care

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Yartel, Anthony K.; Morgan, Rebecca L.; Rein, David B.; Brown, Kimberly Ann; Kil, Natalie B.; Massoud, Omar I.; Fallon, Michael B.; Smith, Bryce D.

2015-01-01

Introduction Receipt of hepatitis C virus (HCV) RNA testing following a positive HCV antibody (anti-HCV+) test result to establish current infection is a quality indicator for HCV-related care. This study examines HIV infection status as a predictor of HCV RNA test receipt after an anti-HCV+ result in the primary care setting. Methods Electronic medical records of anti-HCV+ patients from a multisite retrospective study of patients aged ≥18 years who utilized one or more primary care outpatient services during 2005–2010 were analyzed in 2014. A multivariable logistic regression model examined the independent relationships between patient characteristics and receipt of HCV RNA testing. Results Among 1,115 anti-HCV+ patients, 133 (11.9%) were also HIV-positive. Of these, 77.4% (n=103) underwent HCV RNA testing to determine current infection status. By contrast, 66.7% (n=654/980) of anti-HCV+ patients who were HIV-negative received HCV RNA testing. Following multivariable adjustment, the odds of receiving HCV RNA testing were higher among anti-HCV+ patients who were also HIV-positive (AOR=1.9, 95% CI=1.2, 3.0), compared with their HIV-negative counterparts. Elevated alanine aminotransferase level was also associated with receipt of HCV RNA testing (AOR=1.9, 95% CI=1.4, 2.4). Black race was associated with decreased odds of receiving HCV RNA testing (AOR=0.7, 95% CI=0.5, 1.0). Conclusions HIV infection status is independently associated with the likelihood of receiving HCV RNA testing following an anti-HCV+ result. One quarter of anti-HCV+ patients who were also HIV-positive and one third of their HIV-negative counterparts, respectively, did not receive testing to establish active HCV infection, which is imperative for appropriate care and treatment. PMID:25896194

Prediction of dementia in primary care patients.

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Frank Jessen

Full Text Available BACKGROUND: Current approaches for AD prediction are based on biomarkers, which are however of restricted availability in primary care. AD prediction tools for primary care are therefore needed. We present a prediction score based on information that can be obtained in the primary care setting. METHODOLOGY/PRINCIPAL FINDINGS: We performed a longitudinal cohort study in 3.055 non-demented individuals above 75 years recruited via primary care chart registries (Study on Aging, Cognition and Dementia, AgeCoDe. After the baseline investigation we performed three follow-up investigations at 18 months intervals with incident dementia as the primary outcome. The best set of predictors was extracted from the baseline variables in one randomly selected half of the sample. This set included age, subjective memory impairment, performance on delayed verbal recall and verbal fluency, on the Mini-Mental-State-Examination, and on an instrumental activities of daily living scale. These variables were aggregated to a prediction score, which achieved a prediction accuracy of 0.84 for AD. The score was applied to the second half of the sample (test cohort. Here, the prediction accuracy was 0.79. With a cut-off of at least 80% sensitivity in the first cohort, 79.6% sensitivity, 66.4% specificity, 14.7% positive predictive value (PPV and 97.8% negative predictive value of (NPV for AD were achieved in the test cohort. At a cut-off for a high risk population (5% of individuals with the highest risk score in the first cohort the PPV for AD was 39.1% (52% for any dementia in the test cohort. CONCLUSIONS: The prediction score has useful prediction accuracy. It can define individuals (1 sensitively for low cost-low risk interventions, or (2 more specific and with increased PPV for measures of prevention with greater costs or risks. As it is independent of technical aids, it may be used within large scale prevention programs.

Analysis of T cell receptor alpha beta variability in lymphocytes infiltrating melanoma primary tumours and metastatic lesions

DEFF Research Database (Denmark)

Schøller, J; thor Straten, P; Jakobsen, Annette Birck

1994-01-01

The T cell receptor (TCR) alpha beta variable (V) gene family usage of tumour-infiltrating lymphocytes (TIL) in four different primary human malignant melanomas and their corresponding metastatic lesions was characterized using a recently developed method based on the reverse-transcription-couple......The T cell receptor (TCR) alpha beta variable (V) gene family usage of tumour-infiltrating lymphocytes (TIL) in four different primary human malignant melanomas and their corresponding metastatic lesions was characterized using a recently developed method based on the reverse...... usage of the TCR V gene families V alpha 4, V alpha 5, V alpha 22 and V beta 8, whereas the V beta 3 gene family appeared to be expressed together with HLA-A1. Other highly expressed V gene families, apparently not restricted to either HLA-A1 or -A2, were V alpha 1 (expressed in three of four primary...... tumours) and V alpha 21 (expressed in two of four tumours). We found no evidence suggesting any correlations between the haplotypes HLA-A1 and -A2 and preferential V gene family expression in the metastatic lesions, and the only common feature was V alpha 8, which was found to be highly expressed in two...

Application of Artificial Neural Networks (ANNs for Weight Predictions of Blue Crabs (Callinectes sapidus RATHBUN, 1896 Using Predictor Variables

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C. TURELI BILEN

2011-10-01

Full Text Available An evaluation of the performance of artificial networks (ANNs to estimate the weights of blue crab (Callinectes sapidus catches in Yumurtalık Cove (Iskenderun Bay that uses measured predictor variables is presented, including carapace width (CW, sex (male, female and female with eggs, and sampling month. Blue crabs (n=410 were collected each month between 15 September 1996 and 15 May 1998. Sex, CW, and sampling month were used and specified in the input layer of the network. The weights of the blue crabs were utilized in the output layer of the network. A multi-layer perception architecture model was used and was calibrated with the Levenberg Marguardt (LM algorithm. Finally, the values were determined by the ANN model using the actual data. The mean square error (MSE was measured as 3.3, and the best results had a correlation coefficient (R of 0.93. We compared the predictive capacity of the general linear model (GLM versus the Artificial Neural Network model (ANN for the estimation of the weights of blue crabs from independent field data. The results indicated the higher performance capacity of the ANN to predict weights compared to the GLM (R=0.97 vs. R=0.95, raw variable when evaluated against independent field data.

A Longitudinal Study of Work After Retirement: Examining Predictors of Bridge Employment, Continued Career Employment, and Retirement.

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Bennett, Misty M; Beehr, Terry A; Lepisto, Lawrence R

2016-09-01

Older employees are increasingly accepting bridge employment, which occurs when older workers take employment for pay after they retire from their main career. This study examined predictors of workers' decisions to engage in bridge employment versus full retirement and career employment. A national sample of 482 older people in the United States was surveyed regarding various work-related and nonwork related predictors of retirement decisions, and their retirement status was measured 5 years later. In bivariate analyses, both work-related variables (career goal achievement and experienced pressure to retire) and nonwork-related variables (psychological distress and traditional gender role orientation) predicted taking bridge employment, but in multinomial logistic regression, only nonwork variables had unique effects. Few predictors differentiated the bridge employed and fully retired groups. Nonwork variables were salient in making the decision to retire, and bridge employment may be conceptually more similar to full retirement than to career employment. © The Author(s) 2016.

Predictores Para la Selección de Cadetes en Instituciones Militares Predictors for the Selection of Cadets in Military Institutions

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Alejandro Castro Solano

2005-05-01

Full Text Available En el marco de una investigación más amplia sobre predictores de éxito en el entrenamiento de cadetes militares argentinos, se presentan dos estudios. El primero analiza seis cohortes de egresados de una institución militar (1997-2003, atendiendo a la variabilidad en el rendimiento en su educación superior, relacionándolo con variables sociodemográficas (educación y ocupación parentales y estatus de pariente de militar. Los resultados indican que los promedios generales de carrera observan una tendencia descendente en el tiempo. El rendimiento militar muestra menor variabilidad, en tanto que los rendimientos académico y militar aparecen ligados al nivel educativo parental. En el segundo estudio se analiza la cohorte de ingresantes 2003, incluyéndose predictores tales como datos biográficos, valores, rasgos de personalidad y motivación. Cinco de las categorías consideradas discriminaban entre los grupos de cadetes con alto y bajo rendimiento: factores cognitivos relacionados con el rendimiento previo, la orientación vocacional y ciertos rasgos de liderazgo. Por otra parte, quienes obtenían calificaciones bajas en su primer año de estudios militares exhibían mayor motivación extrínseca, menor motivación intrínseca, estaban menos orientados al logro y su valor hegemónico era el poder.In the frame of a larger research on predictors of success in trainig of Argentinian military cadets, two studies are introduced. The first one analyzes six cohorts of graduates from a military educative institution (1997-2003, taking into account the variability in the achievement exhibited during their higher education, relating it to demographics variables (parental education and occupation and the status of being a military's relative. Results show academic averages are descending in a period of six years. Military achievement shows less variability, while both academic and military achievement seem to be associated to parental education. The

Predictors of Iranian women's intention to first papanicolaou test practice: An application of protection motivation theory.

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Dehdari, T; Hassani, L; Shojaeizadeh, D; Hajizadeh, E; Nedjat, S; Abedini, M

2016-01-01

Given the importance of papanicolaou (Pap) test in the early detection and timely treatment of cervical cancer, present study was designed to determine predictors of a sample of Iranian women's intention to first Pap test practice based on the protection motivation theory (PMT) variables. In this cross-sectional study, a total of 240 women referral to the 30 primary health care clinics were selected. They completed a developed scale based on PMT variables including intention, perceived vulnerability and severity, fear, response costs, response efficacy and self-efficacy. Path analysis was used to determine the association between predictive factors and intention. The results showed that PMT had goodness of fit with a χ2/df = 2.37, df = 28, P= 0.001 and RMSEA = 0.076. PMT explained 42% of the variance in women's intention to get first Pap smear test. Self-efficacy (b = 0.55, Ptheory-based educational interventions associated with Pap testing among women.

Seasonal variability of mixed layer in the central Arabian Sea and its implication on nutrients and primary productivity

Digital Repository Service at National Institute of Oceanography (India)

PrasannaKumar, S.; Narvekar, J.

-1 Seasonal variability of mixed layer in the central Arabian Sea and its implication on nutrients and primary productivity S. Prasanna Kumar and Jayu Narvekar National Institute of Oceanography, Dona Paula, Goa-403 004, India... on a 2? x 4? grids up to a depth of 500m. Monthly mean temperature and salinity data were used to calculate the sigma-t values (UNESCO, 1981). We also used nitrate, chlorophyll a and primary productivity data in the upper 120m water column...

Physical violence between intimate partners during pregnancy and postpartum: a prediction model for use in primary health care facilities.

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Moraes, Claudia L; Tavares da Silva, Tatiana de S; Reichenheim, Michael E; Azevedo, Gustavo L; Dias Oliveira, Alessandra S; Braga, José U

2011-09-01

This article offers a simple predictive model of physical intimate partner violence (PIPV) to be used by primary health care (PHC) professionals. The sample comprised 811 mothers of children economic, demographic and life style variables were considered as potential predictors. Maternal age education of 2 children under 5, tobacco smoking, alcohol misuse and illicit drug use by the mother and/or partner, and perception of baby's ill-health were identified as predictors of PIPV. The model-projected prevalence of PIPV for pregnancy and/or postpartum was just 10.1% in the absence of these characteristics, whereas this increased to 96.4% when all the seven characteristics were present. Child, maternal and family characteristics greatly increase the likelihood of PIPV and could be used together as screening indicators. © 2011 Blackwell Publishing Ltd.

Teacher and Child Predictors of Achieving IEP Goals of Children with Autism

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Ruble, Lisa; McGrew, John H.

2013-01-01

It is encouraging that children with autism show a strong response to early intervention, yet more research is needed for understanding the variability in responsiveness to specialized programs. Treatment predictor variables from 47 teachers and children who were randomized to receive the COMPASS intervention (Ruble et al. in "The…

Selecting predictors for discriminant analysis of species performance: an example from an amphibious softwater plant.

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Vanderhaeghe, F; Smolders, A J P; Roelofs, J G M; Hoffmann, M

2012-03-01

Selecting an appropriate variable subset in linear multivariate methods is an important methodological issue for ecologists. Interest often exists in obtaining general predictive capacity or in finding causal inferences from predictor variables. Because of a lack of solid knowledge on a studied phenomenon, scientists explore predictor variables in order to find the most meaningful (i.e. discriminating) ones. As an example, we modelled the response of the amphibious softwater plant Eleocharis multicaulis using canonical discriminant function analysis. We asked how variables can be selected through comparison of several methods: univariate Pearson chi-square screening, principal components analysis (PCA) and step-wise analysis, as well as combinations of some methods. We expected PCA to perform best. The selected methods were evaluated through fit and stability of the resulting discriminant functions and through correlations between these functions and the predictor variables. The chi-square subset, at P < 0.05, followed by a step-wise sub-selection, gave the best results. In contrast to expectations, PCA performed poorly, as so did step-wise analysis. The different chi-square subset methods all yielded ecologically meaningful variables, while probable noise variables were also selected by PCA and step-wise analysis. We advise against the simple use of PCA or step-wise discriminant analysis to obtain an ecologically meaningful variable subset; the former because it does not take into account the response variable, the latter because noise variables are likely to be selected. We suggest that univariate screening techniques are a worthwhile alternative for variable selection in ecology. © 2011 German Botanical Society and The Royal Botanical Society of the Netherlands.

Incidence and predictors of permanent pacemaker implantation following treatment with the repositionable Lotus™ transcatheter aortic valve.

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Zaman, Sarah; McCormick, Liam; Gooley, Robert; Rashid, Hashrul; Ramkumar, Satish; Jackson, Damon; Hui, Samuel; Meredith, Ian T

2017-07-01

To determine the incidence and predictors of permanent pacemaker (PPM) requirement following transcatheter aortic valve replacement (TAVR) with the mechanically expanded Lotus TM Valve System (Boston Scientific). Pacemaker implantation is the most common complication following TAVR. Predictors of pacing following TAVR with the Lotus valve have not been systematically assessed. Consecutive patients with severe aortic stenosis who underwent Lotus valve implantation were prospectively recruited at a single-centre. Patients with a pre-existing PPM were excluded. Baseline ECG, echocardiographic and multiple detector computed tomography as well as procedural telemetry and depth of implantation were independently analyzed in a blinded manner. The primary endpoint was 30-day incidence of pacemaker requirement (PPM implantation or death while pacing-dependent). Multivariate analysis was performed to identify independent predictors of the primary endpoint. A total of 104 consecutive patients underwent TAVR with the Lotus valve with 9/104 (9%) with a pre-existing PPM excluded. New or worsened procedural LBBB occurred in 78%. Thirty-day incidence of the primary pacing endpoint was 28%. The most common indication for PPM implantation was complete heart block (CHB) (69%). Independent predictors of the primary endpoint included pre-existing RBBB (hazard ratio [HR] 2.8, 95% CI 1.1-7.0; P = 0.032) and depth of implantation below the noncoronary cusp (NCC) (HR 2.4, 95% CI 1.0-5.7; P = 0.045). Almost a third of Lotus valve recipients require pacemaker implantation within 30 days. The presence of pre-existing RBBB and the depth of prosthesis implantation below the NCC were significant pacing predictors. © 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

Investigation of Remedial Education Course Scores as a Predictor of Introduction-Level Course Performances

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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…

Non-intellectual predictors of achievement in mathematics

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Milošević Nikoleta M.

2003-01-01

Full Text Available Findings presented herein are a part of a large international study of primary school final grade student achievement in mathematics and science (TIMSS 2003. Studies were also conducted on the degree of correlation between student family socioeconomic status, mathematical self-concept and achievement in mathematics. Pilot studies, whose findings are discussed comprised 112 seventh-grade students. "Family socioeconomic status" was defined by variables such as the number of family members, economically disadvantaged/affluent home, and parental educational status. "Mathematical self-concept" was defined as one of the more narrow domains of academic self-concept. "Achievement in mathematics" was measured by the test assessing two dimensions of knowledge of mathematics: content and cognitive skills. The analyses of partial correlations indicate that the most significant predictors of achievement in mathematics test are as follows mathematical self-concept, mother’s educational status and some indicators of family socioeconomic status (access to the Internet, number of household members, number of books available at home. Concerning the correlation found between family characteristics and mathematical self-concept and achievement in mathematics, the developers of current changes in mathematics teaching should not disregard the findings of this study.

Predictors of treatment dropout in self-guided web-based interventions for depression: an 'individual patient data' meta-analysis.

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Karyotaki, E; Kleiboer, A; Smit, F; Turner, D T; Pastor, A M; Andersson, G; Berger, T; Botella, C; Breton, J M; Carlbring, P; Christensen, H; de Graaf, E; Griffiths, K; Donker, T; Farrer, L; Huibers, M J H; Lenndin, J; Mackinnon, A; Meyer, B; Moritz, S; Riper, H; Spek, V; Vernmark, K; Cuijpers, P

2015-10-01

It is well known that web-based interventions can be effective treatments for depression. However, dropout rates in web-based interventions are typically high, especially in self-guided web-based interventions. Rigorous empirical evidence regarding factors influencing dropout in self-guided web-based interventions is lacking due to small study sample sizes. In this paper we examined predictors of dropout in an individual patient data meta-analysis to gain a better understanding of who may benefit from these interventions. A comprehensive literature search for all randomized controlled trials (RCTs) of psychotherapy for adults with depression from 2006 to January 2013 was conducted. Next, we approached authors to collect the primary data of the selected studies. Predictors of dropout, such as socio-demographic, clinical, and intervention characteristics were examined. Data from 2705 participants across ten RCTs of self-guided web-based interventions for depression were analysed. The multivariate analysis indicated that male gender [relative risk (RR) 1.08], lower educational level (primary education, RR 1.26) and co-morbid anxiety symptoms (RR 1.18) significantly increased the risk of dropping out, while for every additional 4 years of age, the risk of dropping out significantly decreased (RR 0.94). Dropout can be predicted by several variables and is not randomly distributed. This knowledge may inform tailoring of online self-help interventions to prevent dropout in identified groups at risk.

Predictors of English Health Literacy among U.S. Hispanic Immigrants: The importance of language, bilingualism and sociolinguistic environment

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Holly E. Jacobson

2016-03-01

Full Text Available In the United States, data confirm that Spanish-speaking immigrants are particularly affected by the negative health outcomes associated with low health literacy. Although the literature points to variables such as age, educational background and language, only a few studies have investigated the factors that may influence health literacy in this group. Similarly, the role that bilingualism and/or multilingualism play in health literacy assessment continues to be an issue in need of further research. The purpose of this study was to examine the predictors of English health literacy among adult Hispanic immigrants whose self-reported primary language is Spanish, but who live and function in a bilingual community. It also explored issues related to the language of the instrument. An analysis of data collected through a randomized controlled study was conducted. Results identified English proficiency as the strongest predictor of health literacy (p < 0.001. The results further point to the importance of primary and secondary language in the assessment of heath literacy level. This study raises many questions in need of further investigation to clarify how language proficiency and sociolinguistic environment affect health literacy in language minority adults; proposes language approaches that may be more appropriate for measuring health literacy in these populations; and recommends further place-based research to determine whether the connection between language proficiency and health is generalizable to border communities.

Cognitive potential and its predictors in children from a rural district of pakistan

International Nuclear Information System (INIS)

Gilani, I.

2017-01-01

Effective interventions are available to reduce cognitive deficit currently estimated to affect more than 200 million children under 5 years of age in developing countries. However, developing world's investment is negligible in this regard mainly because of non-existent global indicators to monitor progress with respect to the childhood cognitive development. Intelligence Quotient (IQ) or Full Scale Intelligence Quotient (FSIQ) is an indicator of the cognitive development. This study was designed to assess cognitive potential of 6-7 years old children from a rural district of Pakistan by calculating their FSIQ. Predictors of the FSIQ were also determined. Method: This cross-sectional research was carried out in 40 rural Union Councils (UCs) of 2 sub-districts in district Rawalpindi utilizing simple random sampling technique. Wechsler Pre-school and Primary Scale of Intelligence (WPPSI-IV) was administered to 6-7 years old children (n=300) for measuring their FSIQ. Results: FSIQ of rural Pakistani children, relative to the normative sample, was found to be in the category of low-average. Findings of multiple regression analysis concluded grade/class of the child as the most influential predictor of the FSIQ followed by the level of mother's and then father's education. Conclusion: FSIQ of the rural Pakistani children, relative to the normative sample, was found to be in the category of low-average. Predictors of the FSIQ, seen in this research, were school grades and non-educated parents of the children warranting future research on the contribution of environmental influences to the variability in cognitive potential. (author)

Predictors of long-term effect from education and exercise in patients with knee and hip pain

DEFF Research Database (Denmark)

Skou, Søren Thorgaard; Simonsen, Mikkel Elstrup; Odgaard, Anders

2014-01-01

in pain (p self-efficacy at three months (Beta = 0.304) was a predictor of one-year improvement in EQ-5D (p = 0.01). CONCLUSION: The identified predictors highlight the importance of combining education and exercise. This study indicates that good long-term treatment results...... baseline to one year were dependent variables in regression analyses, while changes from baseline to 3 months and absolute results at three months in physical performance (30-second chair stand test) and self-efficacy were predictor variables. RESULTS: A total of 79/82 patients completed the one......-year follow-up. Improvements in pain and EQ-5D at three months were maintained at one year (p self-efficacy from baseline to three months (Beta = -0.369) and 30-second chair stand test (Beta = -0.251) and self-efficacy at three months (Beta = -0.492) were predictors of one-year improvement...

Predictors of physical activity change among adults using observational designs.

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Rhodes, Ryan E; Quinlan, Alison

2015-03-01

Regular physical activity (PA) is foundational to human health, yet most people are inactive. A sound understanding of the determinants of PA may be instructive for building interventions and/or identifying critical target groups to promote PA. Most research on PA correlates has been biased by cross-sectional or passive prospective designs that fail to examine within-person analysis of PA change. The purpose of this review was to collect and appraise the available literature on the predictors of PA change conceived broadly in terms of increases/decreases from baseline assessment as well as specifically in terms of adoption and maintenance. Eligible studies were from English, peer-reviewed published articles that examined predictors of natural change of PA over 3 months + using observational (non-experimental) data in adult samples. Searches were performed from June 2012 to January 2014 in eight databases. Sixty-seven independent data-sets, from 12 countries, primarily of medium quality/risk of bias, were identified with 26 correlates spanning demographic, behavioral, intra-individual, inter-individual, and environmental categories. Only intention and the onset of motherhood could reliably predict overall PA change. Among datasets configured to predict PA adoption, affective judgments and behavioral processes of change were the only reliable predictors, although both only have a small number of available studies. There were no reliable predictors of maintenance when compared to PA relapse. The results underscore the importance of individual-level motivation and behavioral regulation in PA change, but also denote critical social variables. These findings, however, are constrained by PA measurement bias and limited studies that employed time-varying covariation between predictor variables and PA.

Identification of fall predictors in the active elderly population from the routine medical records of general practitioners.

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Lastrucci, Vieri; Lorini, Chiara; Rinaldi, Giada; Bonaccorsi, Guglielmo

2018-03-01

Aim To evaluate the possibility of determining predictors of falls in the active community-dwelling elderly from the routine medical records of the general practitioners (GPs). Time constraints and competing demands in the clinical encounters frequently undermine fall-risk evaluation. In the context of proactive primary healthcare, quick, and efficient tools for a preliminary fall-risk assessment are needed in order to overcome these barriers. The study included 1220 subjects of 65 years of age or older. Data were extracted from the GPs' patient records. For each subject, the following variables were considered: age, gender, diseases, and pharmacotherapy. Univariate and multivariable analyses have been conducted to identify the independent predictors of falls. Findings The mean age of the study population was 77.8±8.7 years for women and 74.9±7.3 years for men. Of the sample, 11.6% had experienced one or more falls in the previous year. The risk of falling was found to increase significantly (P<0.05) with age (OR=1.03; 95% CI=1.01-1.05), generalized osteoarthritis (OR=2.01; 95% CI=1.23-3.30), tinnitus (OR=4.14; 95% CI=1.25-13.74), cognitive impairment (OR=4.12; 95% CI=2.18-7.80), and two or more co-existing diseases (OR=5.4; 95% CI=1.68-17.39). Results suggest that it is possible to identify patients at higher risk of falling by going through the current medical records, without adding extra workload on the health personnel. In the context of proactive primary healthcare, the analysis of fall predictors from routine medical records may allow the identification of which of the several known and hypothesized risk factors may be more relevant for developing quick and efficient tools for a preliminary fall-risk assessment.

Modeling tissue contamination to improve molecular identification of the primary tumor site of metastases

DEFF Research Database (Denmark)

Vincent, Martin; Perell, Katharina; Nielsen, Finn Cilius

2014-01-01

with any predictor model. The usability of the model is illustrated on primary tumor site identification of liver biopsies, specifically, on a human dataset consisting of microRNA expression measurements of primary tumor samples, benign liver samples and liver metastases. For a predictor trained on primary...... tumor and benign liver samples, the contamination model decreased the test error on biopsies from liver metastases from 77 to 45%. A further reduction to 34% was obtained by including biopsies in the training data....

Predictors of Immigrant Children's School Achievement: A Comparative Study

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Moon, Sung Seek; Kang, Suk-Young; An, Soonok

2009-01-01

This paper examines the predictors and indicators of immigrant children's school achievement, using the two of the most predominant groups of American immigrants (103 Koreans and 100 Mexicans). Regression analyses were conducted to determine which independent variables (acculturation, parenting school involvement, parenting style, parent…

Predictors of Racial Prejudice in White American Counseling Students

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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…

Assessing predictors of science grades and career goals in university undergraduates

Science.gov (United States)

Patanella, Daniel Francis

The utility of traditional predictors of both science grades and career goals (SAT and GPA) was compared to psychological predictors such as Piagetian stage (as measured by the Group Assessment of Logical Thinking), sex-role schema (as measured by the Bem Sex-Role Inventory, and self-schema in students enrolled in either psychology classes (n = 123) or biology classes (n = 56). While the overall predictive ability of the model was high (R = .73), the strongest predictors of grade in science class were traditional variables and not psychological ones as predicted. Prediction of career goal, while more modest (R = .19), was best served by the psychological variable of self-schema. Subsequent analyses indicated that Piagetian stage was best conceptualized as a mediating variable and that sex-role schema as measured played almost no role in either grade or career goal, as well as verifying the internal validity of the self-schema measure used. Biology students were more likely to possess a science self-schema than psychology students (chi2 (1,179) = 7.34, p < .01) and outperformed psychology students on the Piagetian questions (t(177) = 3.01, p < .01). Response latency was recorded for all participants' answer to the Piagetian questions; contrary to prediction however, the inclusion of response latency did not add to the predictive ability of the Piagetian measure used.

Predictors of Happiness and Emotional Intelligence in Secondary Education

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Federico Pulido Acosta

2018-01-01

Full Text Available This study analyzed predictors of happiness and emotional intelligence taking into account age, sex, culture and status and the relationship among these variables. 811 persons participated; 71.6% were Muslims and 28.4% Christians, with 46.1% males and 53.9% females. One questionnaire was used to evaluate happiness and another to evaluate emotional intelligence. The results indicate that predictors of happiness are age, culture, status and sex, while those of emotional intelligence are age, culture and sex. The study found that there is a statistically significant and direct correlation between happiness and emotional intelligence.

Predictors and Outcomes of Burnout in Primary Care Physicians.

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Rabatin, Joseph; Williams, Eric; Baier Manwell, Linda; Schwartz, Mark D; Brown, Roger L; Linzer, Mark

2016-01-01

To assess relationships between primary care work conditions, physician burnout, quality of care, and medical errors. Cross-sectional and longitudinal analyses of data from the MEMO (Minimizing Error, Maximizing Outcome) Study. Two surveys of 422 family physicians and general internists, administered 1 year apart, queried physician job satisfaction, stress and burnout, organizational culture, and intent to leave within 2 years. A chart audit of 1795 of their adult patients with diabetes and/or hypertension assessed care quality and medical errors. Women physicians were almost twice as likely as men to report burnout (36% vs 19%, P stress (P work conditions (P work control (P work-life balance (P burnout, care quality, and medical errors. Burnout is highly associated with adverse work conditions and a greater intention to leave the practice, but not with adverse patient outcomes. Care quality thus appears to be preserved at great personal cost to primary care physicians. Efforts focused on workplace redesign and physician self-care are warranted to sustain the primary care workforce. © The Author(s) 2015.

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

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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.

Variables that Predict Serve Efficacy in Elite Men's Volleyball with Different Quality of Opposition Sets.

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Valhondo, Álvaro; Fernández-Echeverría, Carmen; González-Silva, Jara; Claver, Fernando; Moreno, M Perla

2018-03-01

The objective of this study was to determine the variables that predicted serve efficacy in elite men's volleyball, in sets with different quality of opposition. 3292 serve actions were analysed, of which 2254 were carried out in high quality of opposition sets and 1038 actions were in low quality of opposition sets, corresponding to a total of 24 matches played during the Men's European Volleyball Championships held in 2011. The independent variables considered in this study were the serve zone, serve type, serving player, serve direction, reception zone, receiving player and reception type; the dependent variable was serve efficacy and the situational variable was quality of opposition sets. The variables that acted as predictors in both high and low quality of opposition sets were the serving player, reception zone and reception type. The serve type variable only acted as a predictor in high quality of opposition sets, while the serve zone variable only acted as a predictor in low quality of opposition sets. These results may provide important guidance in men's volleyball training processes.

Conventional heart rate variability analysis of ambulatory electrocardiographic recordings fails to predict imminent ventricular fibrillation

Science.gov (United States)

Vybiral, T.; Glaeser, D. H.; Goldberger, A. L.; Rigney, D. R.; Hess, K. R.; Mietus, J.; Skinner, J. E.; Francis, M.; Pratt, C. M.

1993-01-01

OBJECTIVES. The purpose of this report was to study heart rate variability in Holter recordings of patients who experienced ventricular fibrillation during the recording. BACKGROUND. Decreased heart rate variability is recognized as a long-term predictor of overall and arrhythmic death after myocardial infarction. It was therefore postulated that heart rate variability would be lowest when measured immediately before ventricular fibrillation. METHODS. Conventional indexes of heart rate variability were calculated from Holter recordings of 24 patients with structural heart disease who had ventricular fibrillation during monitoring. The control group consisted of 19 patients with coronary artery disease, of comparable age and left ventricular ejection fraction, who had nonsustained ventricular tachycardia but no ventricular fibrillation. RESULTS. Heart rate variability did not differ between the two groups, and no consistent trends in heart rate variability were observed before ventricular fibrillation occurred. CONCLUSIONS. Although conventional heart rate variability is an independent long-term predictor of adverse outcome after myocardial infarction, its clinical utility as a short-term predictor of life-threatening arrhythmias remains to be elucidated.

Drivers’ Age, Gender, Driving Experience, and Aggressiveness as Predictors of Aggressive Driving Behaviour

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Perepjolkina Viktorija

2011-12-01

Full Text Available Recent years have seen a growing interest in the problem of aggressive driving. In the presentstudy two demographic variables (gender and age, two non-psychological driving-experiencerelated variables (annual mileage and legal driving experience in years and aggressiveness asa personality trait (including behavioural and affective components as psychological variableof individual differences were examined as potential predictors of aggressive driving. The aimof the study was to find out the best predictors of aggressive driving behaviour. The study wasbased on an online survey, and 228 vehicle drivers in Latvia participated in it. The questionnaireincluded eight-item Aggressive Driving Scale (Bone & Mowen, 2006, short Latvian versionof the Buss-Perry Aggression Questionnaire (AQ; Buss & Perry, 1992, and questions gainingdemographic and driving experience information. Gender, age and annual mileage predictedaggressive driving: being male, young and with higher annual driving exposure were associatedwith higher scores on aggressive driving. Dispositional aggressiveness due to anger componentwas a significant predictor of aggressive diving score. Physical aggression and hostility wereunrelated to aggressive driving. Altogether, the predictors explained a total of 28% of thevariance in aggressive driving behaviour. Findings show that dispositional aggressiveness,especially the anger component, as well as male gender, young age and higher annual mileagehas a predictive validity in relation to aggressive driving. There is a need to extend the scope ofpotential dispositional predictors pertinent to driving aggression.

Predictors of Persistent Axial Neck Pain After Cervical Laminoplasty.

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Kimura, Atsushi; Shiraishi, Yasuyuki; Inoue, Hirokazu; Endo, Teruaki; Takeshita, Katsushi

2018-01-01

Retrospective analysis of prospective data. The aim of this study was to reveal baseline predictors of persistent postlaminoplasty neck pain. Axial neck pain is one of the most common complications after cervical laminoplasty; however, baseline predictors of persistent postlaminoplasty neck pain are unclear. We analyzed data from 156 patients who completed a 2-year follow-up after double-door laminoplasty for degenerative cervical myelopathy. Patients rated the average intensity of axial neck pain in the last month using an 11-point numerical rating scale preoperatively and at the 2-year follow-up. The dependent variable was the presence of moderate-to-severe neck pain (numerical rating scale ≥4) at the 2-year follow-up. The independent variables included patient characteristics, baseline radiological parameters, surgical variables, baseline axial neck pain intensity, and baseline functions, which were measured by the Japanese Orthopaedic Association score and the Short Form-36 survey (SF-36). Logistic regression analysis was performed to identify independent predictors of moderate-to-severe neck pain after laminoplasty. At the 2-year follow-up, 51 patients (32%) had moderate-to-severe neck pain, and 106 patients (68%) had no or mild pain. Univariate analysis revealed that the ratio of cervical anterolisthesis, ratio of current smoking, baseline neck pain intensity, and baseline SF-36 Mental Component Summary differed significantly between the groups. Multivariate logistic regression analysis showed that independent predictors of moderate-to-severe neck pain at the 2-year follow-up include the presence of anterolisthesis, current smoking, moderate-to-severe baseline neck pain, and lower SF-36 Mental Component Summary. The presence of anterolisthesis and moderate-to-severe baseline neck pain were also associated with significantly poorer physical function after surgery. The presence of anterolisthesis was associated not only with the highest odds ratio of

Predictors of WAIS-R vocabulary in late life: Differences by race.

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Morin, Ruth T; Midlarsky, Elizabeth

2017-11-01

Vocabulary scores tend to be significantly related to education in heterogeneous groups of older adults, even after controlling for confounding variables. However, there may be other factors that impinge on cognitive functioning for certain demographic groups, particularly those whose educational opportunities were limited, and who may have experienced considerable stress as a result of their minority status. This study sought to explore possible predictors of vocabulary scores among African American and White older adults. In this study, samples of African American (N = 165) and White (N = 146) community-dwelling older adults reported their level of education, perceived health status, and number of stressful life events, and were administered the Wechsler Adult Intelligence Scale-Revised (WAIS-R) Vocabulary subtest. Among the White participants, level of education was the only significant predictor of vocabulary score after controlling for perceived health and exposure to stress. Among African American participants, education was also a significant predictor of vocabulary score. However perceived health and number of stressful life events were also significantly predictors of vocabulary score. Findings indicate that for certain cohorts of older adults, especially those who may have experienced stressful life circumstances and health disparities as a result of racial inequality, education may not be the only variable that predicts verbal intelligence. The importance of investigating cognitive functioning within a broader sociocultural context is discussed.

Predictors of nurses' experience of verbal abuse by nurse colleagues.

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Keller, Ronald; Krainovich-Miller, Barbara; Budin, Wendy; Djukic, Maja

Between 45% and 94% of registered nurses (RNs) experience verbal abuse, which is associated with physical and psychological harm. Although several studies examined predictors of RNs' verbal abuse, none examined predictors of RNs' experiences of verbal abuse by RN colleagues. To examine individual, workplace, dispositional, contextual, and interpersonal predictors of RNs' reported experiences of verbal abuse from RN colleagues. In this secondary analysis, a cross-sectional design with multiple linear regression analysis was used to examine the effect of 23 predictors on verbal abuse by RN colleagues in a sample of 1,208 early career RNs. Selected variables in the empirical intragroup conflict model explained 23.8% of variance in RNs' experiences of verbal abuse by RN colleagues. A number of previously unstudied factors were identified that organizational leaders can monitor and develop or modify policies to prevent early career RNs' experiences of verbal abuse by RN colleagues. Copyright © 2017 Elsevier Inc. All rights reserved.

Energy saving opportunity with variable speed drive in primary air-handling unit

International Nuclear Information System (INIS)

Li, J.S.M.

2007-01-01

Air conditioners used in the court buildings in Kowloon City, Hong Kong were retrofitted with variable speed drives in the primary air handling unit (PAU) in an effort to reduce energy consumption. The initial effect of this retrofit was investigated along with the feasibility of using a carbon dioxide (CO 2 ) based demand control ventilation to reduce energy consumption while optimizing indoor air quality. The air flow in most air conditioning fans is either constant or controlled by motorized inlet guide vanes. Although this controls the flow and may reduce the load on the fan, this constriction adds an energy loss, resulting in inefficient operation. Variable speed drives should be used on the PAU in order to maintain system efficiency. As the speed of the fans are reduced, the flow will decrease proportionally, while the power required by the fan will reduce the cube of the speed. Therefore, if the fresh air supply can be controlled by reducing the speed of the fan motor, then flow control would be more efficient. The energy saving associated with variable fresh air supply flow rate was evaluated along with the cost to building owners. This paper presented the results of the potential energy and cost savings associated with this retrofit, and included implementation cost and pay back period. It was estimated that about 20 per cent of power consumption and electricity costs can be saved per year, with a simple payback period of 2 years. 7 refs., 3 tabs., 3 figs

Multiresponse semiparametric regression for modelling the effect of regional socio-economic variables on the use of information technology

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Wibowo, Wahyu; Wene, Chatrien; Budiantara, I. Nyoman; Permatasari, Erma Oktania

2017-03-01

Multiresponse semiparametric regression is simultaneous equation regression model and fusion of parametric and nonparametric model. The regression model comprise several models and each model has two components, parametric and nonparametric. The used model has linear function as parametric and polynomial truncated spline as nonparametric component. The model can handle both linearity and nonlinearity relationship between response and the sets of predictor variables. The aim of this paper is to demonstrate the application of the regression model for modeling of effect of regional socio-economic on use of information technology. More specific, the response variables are percentage of households has access to internet and percentage of households has personal computer. Then, predictor variables are percentage of literacy people, percentage of electrification and percentage of economic growth. Based on identification of the relationship between response and predictor variable, economic growth is treated as nonparametric predictor and the others are parametric predictors. The result shows that the multiresponse semiparametric regression can be applied well as indicate by the high coefficient determination, 90 percent.

Predictors of Satisfaction With Doctor and Nurse Communication: A National Study.

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McFarland, Daniel C; Johnson Shen, Megan; Holcombe, Randall F

2017-10-01

Prior research indicates that effective communication between medical providers and patients is associated with a number of positive patient outcomes, yet little research has examined how ecological factors (e.g., hospital size, local demographics) influence patients' reported satisfaction with doctor and nurse communication. Given the current emphasis on improving patient satisfaction in hospitals across the United States, understanding these factors is critical to interpreting patient satisfaction and improving patient-centered communication, particularly in diverse and dense populations. As such, this study examined county-level data including population density, population diversity, and hospital structural factors as predictors of patient satisfaction with doctor and nurse communication. Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS), U.S. Census data, and number of hospital beds were obtained from publicly available Hospital Compare, U.S. Census, and American Hospital Directory websites, respectively. Multivariate regression modeling was performed for the individual dimensions of HCAHPS scores assessing doctor and nurse communication. Standardized partial regression coefficients were used to assess strengths of county-level predictors. County-level factors accounted for 30% and 16% of variability in patient satisfaction with doctor and nurse communication, respectively. College education (β = 0.45) and White ethnicity (β = 0.25) most strongly predicted a favorable rating of doctor and nurse communication, respectively. Primary language (non-English speaking; β = -0.50) most strongly predicted an unfavorable rating of doctor communication, while number of hospital beds (β = -0.16) and foreign-born (β = -0.16) most strongly predicted an unfavorable rating of nurse communication. County-level predictors should be considered when interpreting patient satisfaction with doctor and nurse communication and designing

The role of family bio-social variables in depression in a resource-constrained environment: A cross-sectional study of ambulatory adult patients in a primary care clinic in Eastern Nigerian

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Gabriel Uche Pascal Iloh

2018-01-01

Full Text Available Background: Depression is a family and public health condition that has negative consequences for the victim, family, friends, and society with significant socio-family dysfunction, especially when it is undiagnosed. Aim: The present study was aimed at determining the role of family bio-social variables in depression among ambulatory adult patients in a primary care clinic in the Eastern Nigerian. Materials and Methods: A clinic-based cross-sectional descriptive study was carried out on 400 adult patients in a primary care clinic in Nigeria. Data were collected using Patient Health Questionnaire-9, Family Assessment Device, Multidimensional Scale of Perceived Social Support and Brief Family Relationship Scale. Results: The age of the study participants ranged from 18 to 78 years. There were 40.5% of male and 59.5% of female. The prevalence of depression was 48.5% with the most common pattern being mild depression (32.3%. Depression was significantly associated with unhealthy family functioning (P = 0.002, low-acuity family support (P = 0.039, family with least cohesion (P = 0.044, least expressiveness (P = 0.013, and most conflict (P = 0.013. The most significant predictor of depression was unhealthy family functioning (Odds ratio = 3.14 [1.82–3.77]; P = 0.001. Depressed patients who had unhealthy family functioning were three times more likely to experience depressive illness compared to their counterparts who were from healthy functional family. Conclusion: Depression occurred among the study participants and was significantly associated with unhealthy family functioning, low family support, least family cohesion and expressiveness and most family conflict. Assessment of family biosocial factors should be part of the reason for encounter during consultation to unravel family variables that positively or negatively influence depression.

Sleep and Academic Performance in Undergraduates: A Multi-measure, Multi-predictor Approach

OpenAIRE

Gomes, Ana Allen; Tavares, José; de Azevedo, Maria Helena P.

2011-01-01

The present study examined the associations of sleep patterns with multiple measures of academic achievement of undergraduate university students and tested whether sleep variables emerged as significant predictors of subsequent academic performance when other potential predictors, such as class attendance, time devoted to study, and substance use are considered. A sample of 1654 (55% female) full-time undergraduates 17 to 25 yrs of age responded to a self-response questionnaire on sleep, aca...

Urinary phthalate metabolites and their biotransformation products: predictors and temporal variability among men and women

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Meeker, John D.; Calafat, Antonia M.; Hauser, Russ

2012-01-01

Most epidemiology studies investigating potential adverse health effects in relation to phthalates measure the urinary concentration of the free plus glucuronidated species of phthalate metabolites (i.e., total concentration) to estimate exposure. However, the free species may represent the biologically relevant dose. In this study, we collected 943 urine samples from 112 men and 157 women and assessed the between- and within-person variability and predictors of a) the free and total urinary concentrations of phthalate metabolites, and b) the percentage of free phthalate metabolites (a potential phenotypic indicator of individual susceptibility). We also explored the proportion of urinary di-(2-ethylhexyl) phthalate (DEHP) metabolites contributed to by the bioactive mono-2-ethylhexyl phthalate (MEHP), considered a possible indicator of susceptibility to phthalate exposure. The percentage of phthalate metabolites present in the free form were less stable over time than the total metabolite concentration, and, therefore, it is not likely a useful indicator of metabolic susceptibility. Thus, the added costs and effort involved in the measurement of free in addition to total metabolite concentrations in large-scale studies may not be justified. Conversely, the proportion of DEHP metabolites contributed to by MEHP was more stable within individuals over time and may be a promising indicator of susceptibility if time of day of sample collection is carefully considered. PMID:22354176

Predictors of Sunburn Risk Among Florida Residents.

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Arutyunyan, Sergey; Alfonso, Sarah V; Hernandez, Nilda; Favreau, Tracy; Fernández, M Isabel

2017-03-01

The incidence of skin cancer, the most common type of cancer in the United States, is increasing. Sunburn is a major modifiable risk factor for skin cancer, and its prevalence among the US population is high. To identify predictors of having had a red or painful sunburn in the past 12 months among people living in Florida. Florida residents were recruited from public places and online. They were asked to complete an anonymous cross-sectional survey that assessed demographic information, dermatologic history, as well as knowledge, attitude, and behavior factors associated with sunburn. A total of 437 participants whose data were complete for all variables were included in the multivariate analysis. In multivariate logistic regression, younger age (18-29 years) was the most significant predictor of sunburn (OR, 15.26; 95% CI, 5.97-38.98; PSunburn prevention programs that osteopathic physicians can readily implement in clinical practice are urgently needed, particularly for young adult patients. This study identified 7 predictors of sunburn in Florida residents. With additional research findings, promoting attitude change toward sun protection may be a viable strategy.

Clinical Trials With Large Numbers of Variables: Important Advantages of Canonical Analysis.

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Cleophas, Ton J

2016-01-01

Canonical analysis assesses the combined effects of a set of predictor variables on a set of outcome variables, but it is little used in clinical trials despite the omnipresence of multiple variables. The aim of this study was to assess the performance of canonical analysis as compared with traditional multivariate methods using multivariate analysis of covariance (MANCOVA). As an example, a simulated data file with 12 gene expression levels and 4 drug efficacy scores was used. The correlation coefficient between the 12 predictor and 4 outcome variables was 0.87 (P = 0.0001) meaning that 76% of the variability in the outcome variables was explained by the 12 covariates. Repeated testing after the removal of 5 unimportant predictor and 1 outcome variable produced virtually the same overall result. The MANCOVA identified identical unimportant variables, but it was unable to provide overall statistics. (1) Canonical analysis is remarkable, because it can handle many more variables than traditional multivariate methods such as MANCOVA can. (2) At the same time, it accounts for the relative importance of the separate variables, their interactions and differences in units. (3) Canonical analysis provides overall statistics of the effects of sets of variables, whereas traditional multivariate methods only provide the statistics of the separate variables. (4) Unlike other methods for combining the effects of multiple variables such as factor analysis/partial least squares, canonical analysis is scientifically entirely rigorous. (5) Limitations include that it is less flexible than factor analysis/partial least squares, because only 2 sets of variables are used and because multiple solutions instead of one is offered. We do hope that this article will stimulate clinical investigators to start using this remarkable method.

Precipitation and Carbon-Water Coupling Jointly Control the Interannual Variability of Global Land Gross Primary Production

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Zhang, Yao; Xiao, Xiangming; Guanter, Luis; Zhou, Sha; Ciais, Philippe; Joiner, Joanna; Sitch, Stephen; Wu, Xiaocui; Nabel, Julian; Dong, Jinwei;

Modelo estructural predictor de la salud mental y física en mujeres A structural equation model for predictors of mental and physical health in women

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Mónica Teresa González Ramírez

2008-02-01

Full Text Available OBJETIVO: Valorar la capacidad predictora del estrés, el apoyo social y la autoestima respecto de la salud mental y física del individuo mediante ecuaciones estructurales, integrando modelos parciales estimados anteriormente, lo que permite simplificar los efectos entre las variables. MÉTODOS: La muestra estudiada abarcó 283 mujeres con hijos. Todas las participantes residían en el municipio de General Escobedo, estado de Nuevo León, México. Las encuestas se realizaron en el segundo semestre de 2003, en los domicilios, utilizando cuestionarios de autoevaluación para valorar cada una de las variables incluidas en el modelo. Cada participante respondió a los cuestionarios en una sola sesión. Los resultados se analizaron con el programa AMOS 5.0, empleando el método de máxima verosimilitud, comúnmente utilizado en los modelos de ecuaciones estructurales. RESULTADOS: Los resultados obtenidos indican un ajuste aceptable en el modelo propuesto (ji2/gl = 3,03, GFI (índice de bondad del ajuste = 0,894, AGFI (índice de bondad del ajuste corregido = 0,848, RMSEA (error de aproximación cuadrático medio = 0,08, IFI (índice de ajuste incremental = 0,910. La varianza explicada es del 31,9% respecto del estrés, del 27,4% respecto de la salud física y del 72,1% respecto de la salud mental. CONCLUSIONES: El apoyo social y la autoestima son predictores del estrés; la edad y el estrés, predictores de la salud física; y el estrés, la autoestima y la salud física, predictores de la salud mental.OBJECTIVE: To measure the extent to which stress, social support, and self-esteem are predictors of an individual's mental and physical health. Structural equations were integrated with previously-estimated partial models, which simplify the relationships among variables. METHODS: The study sample included 283 women with children. All of the participants resided in the municipality of General Escobedo, state of Nuevo León, Mexico. The surveys were

Radon in indoor air of primary schools: determinant factors, their variability and effective dose.

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Madureira, Joana; Paciência, Inês; Rufo, João; Moreira, André; de Oliveira Fernandes, Eduardo; Pereira, Alcides

2016-04-01

Radon is a radioactive gas, abundant in granitic areas, such as in the city of Porto at the north-east of Portugal. This gas is a recognized carcinogenic agent, being appointed by the World Health Organization as the leading cause of lung cancer after smoking. The aim of this preliminary survey was to determine indoor radon concentrations in public primary schools, to analyse the main factors influencing their indoor concentration levels and to estimate the effective dose in students and teachers in primary schools. Radon concentrations were measured in 45 classrooms from 13 public primary schools located in Porto, using CR-39 passive radon detectors for about 2-month period. In all schools, radon concentrations ranged from 56 to 889 Bq/m(3) (mean = 197 Bq/m(3)). The results showed that the limit of 100 Bq/m(3) established by WHO IAQ guidelines was exceeded in 92 % of the measurements, as well as 8 % of the measurements exceeded the limit of 400 Bq/m(3) established by the national legislation. Moreover, the mean annual effective dose was calculated as 1.25 mSv/y (ranging between 0.58 and 3.07 mSv/y), which is below the action level (3-10 mSv). The considerable variability of radon concentration observed between and within floors indicates a need to monitor concentrations in several rooms for each floor. A single radon detector for each room can be used, provided that the measurement error is considerably lower than variability of radon concentration between rooms. The results of the present survey will provide useful baseline data for adopting safety measures and dealing effectively with radiation emergencies. In particular, radon remediation techniques should be used in buildings located in the highest radon risk areas of Portugal. The results obtained in the current study concerning radon levels and their variations will be useful to optimize the design of future research surveys.

Loneliness in old age: Psychosocial and health predictors

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Karen Kaasa

2009-10-01

Full Text Available  Study objectives  Design  Main results  17% (CI 12.5–23.0 of the respondents answered yes. A significant correlation was demonstratedbetween a feeling of loneliness and low self-perceived health, low vision and poor hearing, low activity of dailylife (ADL function, loss of a spouse, low social network, no hobbies and possession of a safety alarm. After amultiple regression analysis of the significant variables, the remaining variables as predictors for lonelinessincluded: number of social contacts, self-perceived health, using hearing aid and having a safety alarm.: : The information is obtained from a survey conducted among 232 inhabitants in this age group in the municipalityof Tønsberg, its Northern District. The interview data are composed of the responses from 202 elderlypeople living in a house or apartment (non-institutionalized to the question «do you generally feel lonely?».The purpose of this article is to study the prevalence of loneliness in a group of elderly peopleover 80 years old and the sociodemographic, health-related and social predictors for experiencing loneliness.ABSTRACT:

Personality, organizational stress, and attitudes toward work as prospective predictors of professional burnout in hospital nurses

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Hudek-Knežević, Jasna; Kalebić Maglica, Barbara; Krapić, Nada

2011-01-01

Aim To examine to what extent personality traits (extraversion, agreeableness, conscientiousness, neuroticism, and openness), organizational stress, and attitudes toward work and interactions between personality and either organizational stress or attitudes toward work prospectively predict 3 components of burnout. Methods The study was carried out on 118 hospital nurses. Data were analyzed by a set of hierarchical regression analyses, in which personality traits, measures of organizational stress, and attitudes toward work, as well as interactions between personality and either organizational stress or attitudes toward work were included as predictors, while 3 indices of burnout were measured 4 years later as criteria variables. Results Personality traits proved to be significant but weak prospective predictors of burnout and as a group predicted only reduced professional efficacy (R2 = 0.10), with agreeableness being a single negative predictor. Organizational stress was positive, affective-normative commitment negative predictor, while continuance commitment was not related to any dimension of burnout. We found interactions between neuroticism as well as conscientiousness and organizational stress, measured as role conflict and work overload, on reduced professional efficacy (βNRCWO = -0.30; ßcRCWO = -0.26). We also found interactions between neuroticism and affective normative commitment (β = 0.24) and between openness and continuance commitment on reduced professional efficacy (β = -0.23), as well as interactions between conscientiousness and continuance commitment on exhaustion. Conclusion Although contextual variables were strong prospective predictors and personality traits weak predictors of burnout, the results suggested the importance of the interaction between personality and contextual variables in predicting burnout. PMID:21853549

Predictors of physical performance and functional ability in people 50+ with and without fibromyalgia.

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Jones, C Jessie; Rutledge, Dana N; Aquino, Jordan

2010-07-01

The purposes of this study were to determine whether people with and without fibromyalgia (FM) age 50 yr and above showed differences in physical performance and perceived functional ability and to determine whether age, gender, depression, and physical activity level altered the impact of FM status on these factors. Dependent variables included perceived function and 6 performance measures (multidimensional balance, aerobic endurance, overall functional mobility, lower body strength, and gait velocity-normal or fast). Independent (predictor) variables were FM status, age, gender, depression, and physical activity level. Results indicated significant differences between adults with and without FM on all physical-performance measures and perceived function. Linear-regression models showed that the contribution of significant predictors was in expected directions. All regression models were significant, accounting for 16-65% of variance in the dependent variables.

a Latent Variable Path Analysis Model of Secondary Physics Enrollments in New York State.

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Sobolewski, Stanley John

The Percentage of Enrollment in Physics (PEP) at the secondary level nationally has been approximately 20% for the past few decades. For a more scientifically literate citizenry as well as specialists to continue scientific research and development, it is desirable that more students enroll in physics. Some of the predictor variables for physics enrollment and physics achievement that have been identified previously includes a community's socioeconomic status, the availability of physics, the sex of the student, the curriculum, as well as teacher and student data. This study isolated and identified predictor variables for PEP of secondary schools in New York. Data gathered by the State Education Department for the 1990-1991 school year was used. The source of this data included surveys completed by teachers and administrators on student characteristics and school facilities. A data analysis similar to that done by Bryant (1974) was conducted to determine if the relationships between a set of predictor variables related to physics enrollment had changed in the past 20 years. Variables which were isolated included: community, facilities, teacher experience, number of type of science courses, school size and school science facilities. When these variables were isolated, latent variable path diagrams were proposed and verified by the Linear Structural Relations computer modeling program (LISREL). These diagrams differed from those developed by Bryant in that there were more manifest variables used which included achievement scores in the form of Regents exam results. Two criterion variables were used, percentage of students enrolled in physics (PEP) and percent of students enrolled passing the Regents physics exam (PPP). The first model treated school and community level variables as exogenous while the second model treated only the community level variables as exogenous. The goodness of fit indices for the models was 0.77 for the first model and 0.83 for the second

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

Science.gov (United States)

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…

Individual predictors of adolescents’ vocational interest stabilities

OpenAIRE

Hirschi, Andreas

2010-01-01

The study investigated the predictive utility of interest profile differentiation, coherence, elevation, congruence, and vocational identity commitment and career maturity (career planning and exploration) on the 10-month interest stability of 292 Swiss eighth-grade students: profile, rank, and level stabilities were assessed. Controlling for socio-demographic and vocational interest type variables, measures of differentiated and coherent vocational interests were significant predictors of pr...

Predictors of agitation in critically ill adults.

Science.gov (United States)

Burk, Ruth S; Grap, Mary Jo; Munro, Cindy L; Schubert, Christine M; Sessler, Curtis N

2014-09-01

Agitation in critically ill adults is a frequent complication of hospitalization and results in multiple adverse outcomes. Potential causes of agitation are numerous; however, data on factors predictive of agitation are limited. To identify predictors of agitation by examining demographic and clinical characteristics of critically ill patients. A medical record review was performed. Documentation of agitation was indicated by scores on the Richmond Agitation-Sedation Scale or the use of an agitation keyword. Records of 200 patients from 1 medical and 1 surgical intensive care unit were used for the study. Risk factors were determined for 2 points in time: admission to the intensive care unit and within 24 hours before the first episode of agitation. Data on baseline demographics, preadmission risk factors, and clinical data were collected and were evaluated by using logistic multivariable regression to determine predictors of agitation. Predictors of agitation on admission to intensive care were history of use of illicit substances, height, respiratory and central nervous system subscores on the Sequential Organ Failure Assessment, and use of restraints. Predictors of agitation within 24 hours before the onset of agitation were history of psychiatric diagnosis, height, score on the Sequential Organ Failure Assessment, ratio of Pao2 to fraction of inspired oxygen less than 200, serum pH, percentage of hours with restraints, percentage of hours of mechanical ventilation, pain, and presence of genitourinary catheters. Predictors of agitation on admission and within 24 hours before the onset of agitation were primarily clinical variables. ©2014 American Association of Critical-Care Nurses.

Predictors of success in selective laser trabeculoplasty for primary open angle glaucoma in Chinese

Directory of Open Access Journals (Sweden)

Lee JW

2014-09-01

Full Text Available Jacky WY Lee,1,2 Catherine CL Liu,3 Jonathan CH Chan,4 Raymond LM Wong,5 Ian YH Wong,2 Jimmy SM Lai2 1The Department of Ophthalmology, Caritas Medical Centre, Hong Kong, SAR, People’s Republic of China; 2The Department of Ophthalmology, The University of Hong Kong, Hong Kong, SAR, People’s Republic of China; 3Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong, SAR, People’s Republic of China; 4The Department of Ophthalmology, Queen Mary Hospital, Hong Kong, SAR, People’s Republic of China; 5The Department of Ophthalmology and Visual Sciences, Hong Kong Eye Hospital, Hong Kong, SAR, People’s Republic of China Purpose: To determine the predictors of success for adjuvant selective laser trabeculoplasty (SLT in Chinese primary open angle glaucoma (POAG patients. Methods: This prospective study recruited Chinese subjects with unilateral or bilateral POAG currently taking medication to reduce intraocular pressure (IOP. All subjects received a single session of 360° SLT treatment and continued their medications for 1 month. SLT success was defined as IOP reduction ≥20% at 1 month. The following covariates were analyzed in both groups via univariate and multivariate analyses: age, sex, lens status, initial IOPs, post-SLT IOPs, number and type of medications, SLT shots and energy, and pre-SLT investigations.Results: In 51 eyes of 33 POAG subjects, the success rate of SLT was 47.1%. Certain groups of patients were associated with greater success using univariate analysis. These groups included the following: older age (coefficient =0.1; OR: 1.1; P=0.0003, a higher pre-SLT IOP (coefficient =0.3; OR: 1.3; P=0.0005, using four types of antiglaucoma medication (coefficient =2.1; OR: 8.4; P=0.005, a greater degree of spherical equivalent (coefficient =2.1; OR: 8.4; P=0.005, and the use of a topical carbonic anhydrase inhibitor (coefficient =1.7; OR: 6.0; P=0.003. None of the covariates were significant using

Variables that Predict Serve Efficacy in Elite Men’s Volleyball with Different Quality of Opposition Sets

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Valhondo, Álvaro; Fernández-Echeverría, Carmen; González-Silva, Jara; Claver, Fernando; Moreno, M. Perla

2018-01-01

Abstract The objective of this study was to determine the variables that predicted serve efficacy in elite men’s volleyball, in sets with different quality of opposition. 3292 serve actions were analysed, of which 2254 were carried out in high quality of opposition sets and 1038 actions were in low quality of opposition sets, corresponding to a total of 24 matches played during the Men’s European Volleyball Championships held in 2011. The independent variables considered in this study were the serve zone, serve type, serving player, serve direction, reception zone, receiving player and reception type; the dependent variable was serve efficacy and the situational variable was quality of opposition sets. The variables that acted as predictors in both high and low quality of opposition sets were the serving player, reception zone and reception type. The serve type variable only acted as a predictor in high quality of opposition sets, while the serve zone variable only acted as a predictor in low quality of opposition sets. These results may provide important guidance in men’s volleyball training processes. PMID:29599869

Social connectedness and self-esteem: predictors of resilience in mental health among maltreated homeless youth.

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Dang, Michelle T

2014-03-01

The purpose of this cross-sectional study was to explore social connectedness and self-esteem as predictors of resilience among homeless youth with histories of maltreatment. Connectedness variables included family connectedness, school connectedness, and affiliation with prosocial peers. The sample included 150 homeless youth aged 14 to 21 (mean age = 18 years) with the majority being an ethnic minority. Participants completed surveys using audio-CASI. Results revealed that youth with higher levels of social connectedness and self-esteem reported lower levels of psychological distress. When all predictor variables were controlled in the analysis, self-esteem remained significant for predicting better mental health.

Variable selection by lasso-type methods

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Sohail Chand

2011-09-01

Full Text Available Variable selection is an important property of shrinkage methods. The adaptive lasso is an oracle procedure and can do consistent variable selection. In this paper, we provide an explanation that how use of adaptive weights make it possible for the adaptive lasso to satisfy the necessary and almost sufcient condition for consistent variable selection. We suggest a novel algorithm and give an important result that for the adaptive lasso if predictors are normalised after the introduction of adaptive weights, it makes the adaptive lasso performance identical to the lasso.

Cortical integrity of the inferior alveolar canal as a predictor of paresthesia after third-molar extraction.

Science.gov (United States)

Park, Wonse; Choi, Ji-Wook; Kim, Jae-Young; Kim, Bong-Chul; Kim, Hyung Jun; Lee, Sang-Hwy

2010-03-01

Paresthesia is a well-known complication of extraction of mandibular third molars (MTMs). The authors evaluated the relationship between paresthesia after MTM extraction and the cortical integrity of the inferior alveolar canal (IAC) by using computed tomography (CT). The authors designed a retrospective cohort study involving participants considered, on the basis of panoramic imaging, to be at high risk of experiencing injury of the inferior alveolar nerve who subsequently underwent CT imaging and extraction of the MTMs. The primary predictor variable was the contact relationship between the IAC and the MTM as viewed on a CT image, classified into three groups: group 1, no contact; group 2, contact between the MTM and the intact IAC cortex; group 3, contact between the MTM and the interrupted IAC cortex. The secondary predictor variable was the number of CT image slices showing the cortical interruption around the MTM. The outcome variable was the presence or absence of postoperative paresthesia after MTM extraction. The study sample comprised 179 participants who underwent MTM extraction (a total of 259 MTMs). Their mean age was 23.6 years, and 85 (47.5 percent) were male. The overall prevalence of paresthesia was 4.2 percent (11 of 259 teeth). The prevalence of paresthesia in group 3 (involving an interrupted IAC cortex) was 11.8 percent (10 of 85 cases), while for group 2 (involving an intact IAC cortex) and group 1 (involving no contact) it was 1.0 percent (1 of 98 cases) and 0.0 percent (no cases), respectively. The frequency of nerve damage increased with the number of CT image slices showing loss of cortical integrity (P=.043). The results of this study indicate that loss of IAC cortical integrity is associated with an increased risk of experiencing paresthesia after MTM extraction.

Psychosocial predictors of human papillomavirus vaccination intentions for young women 18 to 26: religiosity, morality, promiscuity, and cancer worry.

Science.gov (United States)

Krakow, Melinda M; Jensen, Jakob D; Carcioppolo, Nick; Weaver, Jeremy; Liu, Miao; Guntzviller, Lisa M

2015-01-01

To determine whether five psychosocial variables, namely, religiosity, morality, perceived promiscuity, cancer worry frequency, and cancer worry severity, predict young women's intentions to receive the human papillomavirus (HPV) vaccination. Female undergraduate students (n=408) completed an online survey. Questions pertaining to hypothesized predictors were analyzed through bivariate correlations and hierarchical regression equations. Regressions examined whether the five psychosocial variables of interest predicted intentions to vaccinate above and beyond controls. Proposed interactions among predictor variables were also tested. Study findings supported cancer worry as a direct predictor of HPV vaccination intention, and religiosity and sexual experience as moderators of the relationship between concerns of promiscuity reputation and intentions to vaccinate. One dimension of cancer worry (severity) emerged as a particularly robust predictor for this population. This study provides support for several important, yet understudied, factors contributing to HPV vaccination intentions among college-aged women: cancer worry severity and religiosity. Future research should continue to assess the predictive contributions of these variables and evaluate how messages and campaigns to increase HPV vaccination uptake can utilize religious involvement and worry about cancer to promote more effectively HPV vaccination as a cancer prevention strategy. Copyright © 2015 Jacobs Institute of Women's Health. Published by Elsevier Inc. All rights reserved.

Serial position effects are sensitive predictors of conversion from MCI to Alzheimer's disease dementia.

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Egli, Simone C; Beck, Irene R; Berres, Manfred; Foldi, Nancy S; Monsch, Andreas U; Sollberger, Marc

2014-10-01

It is unclear whether the predictive strength of established cognitive variables for progression to Alzheimer's disease (AD) dementia from mild cognitive impairment (MCI) varies depending on time to conversion. We investigated which cognitive variables were best predictors, and which of these variables remained predictive for patients with longer times to conversion. Seventy-five participants with MCI were assessed on measures of learning, memory, language, and executive function. Relative predictive strengths of these measures were analyzed using Cox regression models. Measures of word-list position-namely, serial position scores-together with Short Delay Free Recall of word-list learning best predicted conversion to AD dementia. However, only serial position scores predicted those participants with longer time to conversion. Results emphasize that the predictive strength of cognitive variables varies depending on time to conversion to dementia. Moreover, finer measures of learning captured by serial position scores were the most sensitive predictors of AD dementia. Copyright © 2014 The Alzheimer's Association. Published by Elsevier Inc. All rights reserved.

Prevalence and predictors of hyperprolactinemia in subclinical hypothyroidism.

Science.gov (United States)

Sharma, Lokesh Kumar; Sharma, Neera; Gadpayle, Adesh Kisanji; Dutta, Deep

2016-11-01

Hyperprolactinemia has been reported in 0-57% of primary hypothyroidism. Data on hyperprolactinemia in subclinical hypothyroidism (ScH) is scant and inconsistent. This study aimed to determine the prevalence and predictors of hyperprolactinemia in ScH. Consecutive patients diagnosed to have normal thyroid function, ScH or overt primary hypothyroidism underwent serum prolactin, gonadotropins, testosterone and estradiol estimation. Patients with pregnancy, pituitary adenomas, secondary hypothyroidism, hyperthyroidism, comorbid states and drug-induced hyperprolactinemia were excluded. From initially screened 4950 patients, hormonal data from 2848 individuals who fulfilled all criteria were analyzed. The occurrence of hyperprolactinemia (females:males) was highest in primary hypothyroidism (42.95%:39.53%) (n=192), followed by ScH (35.65%:31.61%) (n=770) and euthyroid individuals (2.32%:2.02%) (n=1886) (P10mIU/L (females: males) was 25.56%:20.73%, 49.07%:50% and 61.43%:35.71% respectively (Phypothyroidism. In females, testosterone was lowest in patients with primary hypothyroidism. In males, serum estradiol was significantly higher, and testosterone significantly lower in men with ScH and primary hypothyroidism. Regression analysis revealed serum TSH followed by free T 4 , to be best predictors of serum prolactin in both sexes. Hyperprolactinemia is common in ScH, especially in those with TSH>7.5mIU/L. ROC analysis confirmed that TSH≥7.51mIU/L in females and ≥8.33mIU/L in males had a sensitivity of ≈50% with a very high specificity of >90% in detecting hyperprolactinemia. Prolactin screening may be warranted in ScH with TSH>7.5mIU/L, and may form an indication for treating ScH. Copyright © 2016 European Federation of Internal Medicine. Published by Elsevier B.V. All rights reserved.

Predictors of Home Deliveries in Rakai District, Uganda | Nuwaha ...

African Journals Online (AJOL)

In order to identify independent predictors for home delivery, 211 women from 21 clusters, who had a delivery in the previous one year, were interviewed in Rakai District, Uganda, from June 2 to 30, 1997. Mothers answered questions regarding socio-economic, local, reproductive and self-efficacy variables and whether ...

Inadequate Response to Therapy as a Predictor of Suicide.

Science.gov (United States)

Dahlsgaard, Katherine K.; Beck, Aaron T.; Brown, Gregory K.

1998-01-01

The role of response to cognitive therapy as a predictor of suicide was investigated by comparing 17 outpatients with mood disorders who committed suicide with 17 matched patients who did not commit suicide. Significant differences were found on several variables including higher levels of hopelessness at termination of therapy. (Author/EMK)

Predictors of functional and clinical outcome in early-onset first-episode psychosis: the child and adolescent first episode of psychosis (CAFEPS) study.

Science.gov (United States)

Parellada, Mara; Castro-Fornieles, Josefina; Gonzalez-Pinto, Ana; Pina-Camacho, Laura; Moreno, Dolores; Rapado-Castro, Marta; Otero, Soraya; de la Serna, Elena; Moreno, Carmen; Baeza, Inmaculada; Graell, Montserrat; Arango, Celso

2015-11-01

The objective of this study was to study baseline clinical and biological predictors of 2-year outcome in a cohort of children and adolescents with a first episode of psychosis. Standard instruments were used to evaluate symptoms and functioning in 110 children and adolescents (mean age = 15.47 years) with first episode of psychosis at admission (between 2003 and 2005) and after 2-year follow-up. Clinical assessments included diagnostic assessment to yield DSM-IV diagnosis, developmental, premorbid, and past-year data, together with structural neuroimaging and other biological parameters (genetics and oxidative stress). Eighty-three subjects had assessments at baseline (including the Strauss-Carpenter Outcome Scale [SCOS]) and at 2-year follow-up. Association and multistep regression analyses were conducted to show correlates and predictors of primary outcome measures: functional outcome (Children's Global Assessment Scale [CGAS]), improvement (CGAS change), and primary negative symptoms (Proxy for the Deficit Syndrome Scale). The SCOS predicted 27.46% (P < .001) of the variance in CGAS score at 2 years. Baseline severity (measured by CGAS) predicted 30.9% (P < .001) of CGAS improvement after 2 years, and SCOS total score predicted an added 24.1% (P < .001). A diagnosis of nonaffective psychosis, primary negative symptoms, and less white matter at baseline predicted more primary negative symptoms at follow-up. The prediction of functional outcome was not increased by genetic, oxidative stress, or neurostructural markers. Baseline clinical assessments have a better predictive value than biological assessments for 2-year follow-up functioning of children and adolescents with a first episode of psychosis. Patients with primary negative symptoms at baseline continue to have negative symptoms 2 years later, and neurostructural markers predict these. Clinicians must still rely on clinical variables to judge the functional prognosis of early-onset first psychotic episodes

Of Dutch courage and mobile chimneys: Pattern and predictors of ...

African Journals Online (AJOL)

Previous studies in Nigeria have associated alcohol and tobacco use among students with certain socioeconomic and educational achievement variables, albeit its determinants among university students remain largely unknown. This study examined current patterns and predictors of alcohol and tobacco use with a model ...

Predictors of Early Termination in a University Counseling Training Clinic

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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…

Organisationally relevant variables and Keyes's Mental Health Continuum Scale: An exploratory study

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Deo J.W. Strümpfer

2009-09-01

Full Text Available In an exploratory study on a sample of convenience (n = 165, 11 self-report variables with presumed organisational  relevance were  related,  as  predictors,  to  the  three  subscores  and  summed  score of  the Keyes  (2005a, 2005b; 2007 Mental Health Continuum  scale  (long  form. Keyes's  scale was administered five to seven days after the first set of scales. The predictor scores were reduced to three factorial scores, labelled positive orientation, negative orientation and positive striving. When classified thus, the predictor variables showed significant and meaningful relationships with some or all of the Keyes subscores and the total score, although few reached medium effect sizes.

Test of variables of attention (TOVA as a predictor of early attention complaints, an antecedent to dementia

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Eric R Braverman

2010-10-01

males with a significant number of ADD complaints, individuals whose scores were significantly deviant or borderline (SDB on TOVA, had a significantly greater number of attention complaints compared with normals for omissions (P < 0.02, response time (P < 0.015, and variability (P < 0.005, but not commissions (P > 0.50. For males, the mean scores for auditory, visual, immediate, and working memory scores as measured by the WMS-III were significantly greater for normals versus SDBs on the TOVA subtest, ie, omission (P < 0.01 and response time (P < 0.05, but not variability or commissions. The means for auditory, visual, and immediate memory scores were significantly greater for normals versus SDBs for variability (P < 0.045 only. In females, the mean scores for visual and working memory scores were significantly greater for normals versus SDBs for omissions (P < 0.025. The number of SDB TOVA quarters was a significant predictor for “impaired” or “normal” group membership for visual memory (P < 0.015, but not for the other three WMS-III components. For males, the partial correlation between the number of attention complaints and the number of SDB TOVA quarters was also significant (r = 0.251, P < 0.005. For the 152 females with a significant number of attention complaints, no significant differences between SDBs and normals were observed (P > 0.15. This is the first report, to our knowledge, which provides evidence that TOVA is an accurate predictor of early attention complaints and memory impairments in a clinical setting. This finding is more robust for males than for females between the ages of 40 and 90 years.Keywords: attention complaints, dementia, TOVA, Wechsler Memory Scale

Predictors of student success in entry-level science courses

Science.gov (United States)

Singh, Mamta K.

Although the educational evaluation process is useful and valuable and is supported by the Higher Education Act, a strong research base for program evaluation of college entry-level science courses is still lacking. Studies in science disciplines such as, biology, chemistry, and physics have addressed various affective and demographic factors and their relationships to student achievement. However, the literature contains little information that specifically addresses student biology content knowledge skills (basics and higher order thinking skills) and identifies factors that affect students' success in entry-level college science courses. These gate-keeping courses require detailed evaluation if the goal of an institution is to increase students' performance and success in these courses. These factors are, in fact, a stepping stone for increasing the number of graduates in Science, Technology, Engineering, and Mathematics (STEM) majors. The present study measured students' biology content knowledge and investigated students' performance and success in college biology, chemistry, and physics entry-level courses. Seven variables---gender, ethnicity, high school Grade Point Average (GPA), high school science, college major, school financial aid support, and work hours were used as independent variables and course final performance as a dichotomous dependent variable. The sample comprised voluntary student participants in entry-level science courses. The study attempted to explore eight research questions. Content knowledge assessments, demographic information analysis, multiple regression analysis, and binary logistic regression analysis were used to address research questions. The results suggested that high school GPA was a consistently good predictor of students' performance and success in entry-level science courses. Additionally, high school chemistry was a significant predictor variable for student success in entry-level biology and chemistry courses

Daily affect variability and context-specific alcohol consumption.

Science.gov (United States)

Mohr, Cynthia D; Arpin, Sarah; McCabe, Cameron T

2015-11-01

Research explored the effects of variability in negative and positive affect on alcohol consumption, specifying daily fluctuation in affect as a critical form of emotion dysregulation. Using daily process methodology allows for a more objective calculation of affect variability relative to traditional self-reports. The present study models within-person negative and positive affect variabilities as predictors of context-specific consumption (i.e. solitary vs. social drinking), controlling for mean levels of affect. A community sample of moderate-to-heavy drinkers (n = 47; 49% women) from a US metropolitan area reported on affect and alcohol consumption thrice daily for 30 days via a handheld electronic interviewer. Within-person affect variability was calculated using daily standard deviations in positive and negative affect. Within person, greater negative and positive variabilities are related to greater daily solitary and social consumption. Across study days, mean levels of negative and positive affect variabilities related to greater social consumption between persons; yet, aggregated negative affect variability was related to less solitary consumption. Results affirm affect variability as a unique predictor of alcohol consumption, independent of mean affect levels. Yet, it is important to differentiate social context of consumption, as well as type of affect variability, particularly at the between-person level. These distinctions help clarify inconsistencies in the self-medication literature regarding associations between average levels of affect and consumption. Importantly, consistent within-person relationships for both variabilities support arguments that both negative and positive affect variabilities are detrimental and reflect an inability to regulate emotional experience. © 2015 Australasian Professional Society on Alcohol and other Drugs.

Job stressors, personality and burnout in primary school teachers.

Science.gov (United States)

Kokkinos, Constantinos M

2007-03-01

Teaching is considered a highly stressful occupation. Burnout is a negative affective response occurring as a result of chronic work stress. While the early theories of burnout focused exclusively on work-related stressors, recent research adopts a more integrative approach where both environmental and individual factors are studied. Nevertheless, such studies are scarce with teacher samples. The present cross-sectional study sought to investigate the association between burnout, personality characteristics and job stressors in primary school teachers from Cyprus. The study also investigates the relative contribution of these variables on the three facets of burnout - emotional exhaustion, depersonalization and reduced personal accomplishment. A representative sample of 447 primary school teachers participated in the study. Teachers completed measures of burnout, personality and job stressors along with demographic and professional data. Surveys were delivered by courier to schools, and were distributed at faculty meetings. Results showed that both personality and work-related stressors were associated with burnout dimensions. Neuroticism was a common predictor of all dimensions of burnout although in personal accomplishment had a different direction. Managing student misbehaviour and time constraints were found to systematically predict dimensions of burnout. Teachers' individual characteristics as well as job related stressors should be taken into consideration when studying the burnout phenomenon. The fact that each dimension of the syndrome is predicted by different variables should not remain unnoticed especially when designing and implementing intervention programmes to reduce burnout in teachers.

Recurrent Primary Spontaneous Pneumothorax is Common Following Chest Tube and Conservative Treatment.

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Olesen, Winnie Hedevang; Lindahl-Jacobsen, Rune; Katballe, Niels; Sindby, Jesper Eske; Titlestad, Ingrid Louise; Andersen, Poul Erik; Licht, Peter Bjørn

2016-09-01

Previous studies on primary spontaneous pneumothorax reported variable recurrence rates, but they were based on heterogeneous patient populations including secondary pneumothorax. We investigated young patients with primary spontaneous pneumothorax exclusively and used a national registry to track readmissions and calculate independent predictors of recurrence. A prospective cohort study of consecutive young patients who were admitted over a 5-year period with their first episode of primary spontaneous pneumothorax and treated conservatively with a chest tube. Baseline characteristics were obtained from questionnaires presented on admittance. All patients were discharged with fully expanded lungs on chest radiography. Patient charts were identified in the national electronic patient registry for detailed information on readmissions due to recurrent spontaneous pneumothorax. We included 234 patients. Male/female = ratio 5/1. After a median observation period of 3.6 years (range 1-6 years), recurrent pneumothorax was observed in 54 %. Ipsilateral recurrence was the most common (79 %) but 30 % also experienced contralateral pneumothorax during the study period. Females had a significantly higher age at debut (p pneumothorax in younger patients with their first episode had a much higher recurrence rate than previously reported. Every doctor who treats patients with primary spontaneous pneumothorax should be aware and patients informed.

Physiological and behavioral indices of emotion dysregulation as predictors of outcome from cognitive behavioral therapy and acceptance and commitment therapy for anxiety.

Science.gov (United States)

Davies, Carolyn D; Niles, Andrea N; Pittig, Andre; Arch, Joanna J; Craske, Michelle G

2015-03-01

Identifying for whom and under what conditions a treatment is most effective is an essential step toward personalized medicine. The current study examined pre-treatment physiological and behavioral variables as predictors and moderators of outcome in a randomized clinical trial comparing cognitive behavioral therapy (CBT) and acceptance and commitment therapy (ACT) for anxiety disorders. Sixty individuals with a DSM-IV defined principal anxiety disorder completed 12 sessions of either CBT or ACT. Baseline physiological and behavioral variables were measured prior to entering treatment. Self-reported anxiety symptoms were assessed at pre-treatment, post-treatment, and 6- and 12-month follow-up from baseline. Higher pre-treatment heart rate variability was associated with worse outcome across ACT and CBT. ACT outperformed CBT for individuals with high behavioral avoidance. Subjective anxiety levels during laboratory tasks did not predict or moderate treatment outcome. Due to small sample sizes of each disorder, disorder-specific predictors were not tested. Future research should examine these predictors in larger samples and across other outcome variables. Lower heart rate variability was identified as a prognostic indicator of overall outcome, whereas high behavioral avoidance was identified as a prescriptive indicator of superior outcome from ACT versus CBT. Investigation of pre-treatment physiological and behavioral variables as predictors and moderators of outcome may help guide future treatment-matching efforts. Copyright © 2014 Elsevier Ltd. All rights reserved.

Religiousness as a Predictor of Alcohol Use in High School Students.

Science.gov (United States)

Park, Hae-Seong; Bauer, Scott; Oescher, Jeffrey

2001-01-01

Examines the relationship between religiousness and alcohol use of adolescents based on a sample of high school seniors. Results provide support for examining religiousness variables as predictors of alcohol use patterns of adolescents. (Contains 16 references and 4 tables.) (GCP)

Psychological predictors of outcome after gastric banding for morbid obesity

NARCIS (Netherlands)

Larsen, J.K.

2004-01-01

Obesity has become a major public health problem in Western societies. Although surgery is considered the treatment of choice in morbid obesity, the outcome is variable and weight regain may occur in the long-term postoperative period. The aim of this thesis was to examine psychological predictors

A Study on Variables that Affect Class Scores of Primary Education Students in Placement Test

OpenAIRE

Yavuz, Mustafa

2010-01-01

This study aims to determine the variables that predict class scores which are obtained by adding 70 % of the Placement Test (PT) scores of the primary education sixth and seventh grade students who took it for the first time in the 2007-2008 academic year within the framework of the system of passing to secondary education reorganized by the MNE, 25 % of their end-of-the-year passing grades. The study is of general survey model. The study group consists of students who took the PT in the 200...

Estimating water equivalent snow depth from related meteorological variables

International Nuclear Information System (INIS)

Steyaert, L.T.; LeDuc, S.K.; Strommen, N.D.; Nicodemus, M.L.; Guttman, N.B.

1980-05-01

Engineering design must take into consideration natural loads and stresses caused by meteorological elements, such as, wind, snow, precipitation and temperature. The purpose of this study was to determine a relationship of water equivalent snow depth measurements to meteorological variables. Several predictor models were evaluated for use in estimating water equivalent values. These models include linear regression, principal component regression, and non-linear regression models. Linear, non-linear and Scandanavian models are used to generate annual water equivalent estimates for approximately 1100 cooperative data stations where predictor variables are available, but which have no water equivalent measurements. These estimates are used to develop probability estimates of snow load for each station. Map analyses for 3 probability levels are presented

Predictors of change and continuity in home care for dementia patients

NARCIS (Netherlands)

Vernooy-Dassen, M.J.F.J.; Felling, A.J.A.; Persoon, J.M.G.

1997-01-01

Objective. To investigate predictors of change in the sense of competence of primary caregivers and continuity in home care for dementia patients. Design. A prospective longitudinal study with a follow-up period of 10 months. Setting. Dementia patients living in the community selected by Dutch

Investigating Nigerian primary school teachers’ preparedness to adopt personal response system in ESL classroom

Directory of Open Access Journals (Sweden)

Alaba Olaoluwakotansibe Agbatogun

2012-03-01

Full Text Available This study investigated the extent to which computer literacy dimensions (computer general knowledge, documents and documentations, communication and surfing as well as data inquiry, computer use and academic qualification as independent variables predicted primary school teachers’ attitude towards the integration of Personal Response System in English as a second language (ESL classroom. Seventeen (17 Nigerian primary school teachers trained on why and how to effectively use Personal Response System (PRS in ESL classrooms was the sample for the study. Data for the study were gathered through the use of Clickers Attitude Questionnaire (CAQ, Teachers’ Computer Literacy Questionnaire (TCLQ and Computer Use Questionnaire (CUQ. Descriptive statistics such as simple percentage, mean and standard deviation, and inferential statistics such as Pearson Product Moment Correlation Coefficient, and Multiple regression were used for data analysis at 0.05 significance level. The results show that the teachers’ computer literacy was more in the areas of documents and documentation as well as communication and surfing than in general knowledge and data inquiry. Further findings of the study indicated that general computer knowledge, documents and documentation, communication and surfing, and data inquiry combined to contribute to the prediction of teachers’ attitude towards the integration of PRS. Relatively, documents and documentation dimension was the potent predictor, while data inquiry was not a significant predictor of the outcome variable. Similarly, computer use, computer literacy and academic qualification jointly contributed to the prediction of the teachers’ attitude towards the integration of PRS in ESL classroom. Meanwhile, computer use made the most significant contribution to the prediction of teachers’ attitude towards PRS integration, while academic qualification did not make any significant contribution to the teachers’ attitude

Investigating Nigerian Primary School Teachers’ Preparedness to Adopt Personal Response System in ESL Classroom

Directory of Open Access Journals (Sweden)

Alaba Olaoluwakotansibe Agbatogun

2012-03-01

Full Text Available This study investigated the extent to which computer literacy dimensions (computer general knowledge, documents and documentations, communication and surfing as well as data inquiry, computer use and academic qualification as independent variables predicted primary school teachers’ attitude towards the integration of Personal Response System in English as a second language (ESL classroom. Seventeen (17 Nigerian primary school teachers trained on why and how to effectively use Personal Response System (PRS in ESL classrooms was the sample for the study. Data for the studywere gathered through the use of Clickers Attitude Questionnaire (CAQ, Teachers’ Computer Literacy Questionnaire (TCLQ and Computer Use Questionnaire (CUQ. Descriptive statistics such as simplepercentage, mean and standard deviation, and inferential statistics such as Pearson Product Moment Correlation Coefficient, and Multiple regression were used for data analysis at 0.05 significance level.The results show that the teachers’ computer literacy was more in the areas of documents and documentation as well as communication and surfing than in general knowledge and data inquiry. Further findings of the study indicated that general computer knowledge, documents anddocumentation, communication and surfing, and data inquiry combined to contribute to the prediction of teachers’ attitude towards the integration of PRS. Relatively, documents and documentation dimension was the potent predictor, while data inquiry was not a significant predictor of the outcome variable. Similarly, computer use, computer literacy and academic qualification jointly contributed to the prediction of the teachers’ attitude towards the integration of PRS in ESL classroom. Meanwhile, computer use made the most significant contribution to the prediction of teachers’ attitude towards PRS integration, while academic qualification did not make any significantcontribution to the teachers’ attitude

HOW NORMAL IS VARIABLE, OR HOW VARIABLE IS NORMAL

NARCIS (Netherlands)

TOUWEN, BCL

Variability is an important property of the central nervous system, and it shows characteristic changes during infancy and childhood. The large amount of variations in the performance of sensomotor functions in infancy is called indiscriminate or primary variability. During toddling age the child

Reading instead of reasoning? Predictors of arithmetic skills in children with cochlear implants.

Science.gov (United States)

Huber, Maria; Kipman, Ulrike; Pletzer, Belinda

2014-07-01

The aim of the present study was to evaluate whether the arithmetic achievement of children with cochlear implants (CI) was lower or comparable to that of their normal hearing peers and to identify predictors of arithmetic achievement in children with CI. In particular we related the arithmetic achievement of children with CI to nonverbal IQ, reading skills and hearing variables. 23 children with CI (onset of hearing loss in the first 24 months, cochlear implantation in the first 60 months of life, atleast 3 years of hearing experience with the first CI) and 23 normal hearing peers matched by age, gender, and social background participated in this case control study. All attended grades two to four in primary schools. To assess their arithmetic achievement, all children completed the "Arithmetic Operations" part of the "Heidelberger Rechentest" (HRT), a German arithmetic test. To assess reading skills and nonverbal intelligence as potential predictors of arithmetic achievement, all children completed the "Salzburger Lesetest" (SLS), a German reading screening, and the Culture Fair Intelligence Test (CFIT), a nonverbal intelligence test. Children with CI did not differ significantly from hearing children in their arithmetic achievement. Correlation and regression analyses revealed that in children with CI, arithmetic achievement was significantly (positively) related to reading skills, but not to nonverbal IQ. Reading skills and nonverbal IQ were not related to each other. In normal hearing children, arithmetic achievement was significantly (positively) related to nonverbal IQ, but not to reading skills. Reading skills and nonverbal IQ were positively correlated. Hearing variables were not related to arithmetic achievement. Children with CI do not show lower performance in non-verbal arithmetic tasks, compared to normal hearing peers. Copyright © 2014. Published by Elsevier Ireland Ltd.

Preschool Predictors of Kindergarten Language Outcomes

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Anne Walk

2015-01-01

Full Text Available The aim of the present study is to explore a variety of cognitive and social variables which are most relevant to children’s linguistic success in an educational setting. The study examines kindergarten English language outcomes in classrooms containing monolingual English speaking children and bilingual children who speak English and one other language. Data from the National Center for Early Development and Learning Multistate Study of Pre-Kindergarten (2001-2003 regarding classroom and student characteristics were used for bilingual (N = 120 and monolingual (N = 534 children. Hierarchical regression analysis (Study 1 and path analysis (Study 2 were conducted to determine the cognitive and social variables present in preschool that are most predictive of English skills in kindergarten. The results of the studies demonstrate that social variables were important for both monolingual and bilingual children. Personality variables were more predictive for monolingual children, whereas teacher relationship variables were more important for bilingual children. Simple and routine adult interaction was predictive of English skills in both groups, which may indicate the importance of implicit learning over explicit instruction in early language acquisition. The present studies found different predictors of English language skills for monolingual and bilingual kindergarteners.

High school achievement as a predictor for university performance

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Meshkani Z

2004-07-01

Full Text Available Background: The high-school grade point average ( GPA-H and university entrance examination can predict the university achievement and Purpose. To examine the predictive value of GPA-H for GPA-U Methods: In this cross sectional study, the subjects were 240 medical students at basic science phase of their medical education. Data were collected by a questionnaire, consisting of questions measuring factual background variable and 10 Llikert-type questions measuring attitude. The multiple regression analysis was used. Results: The analysis showed that student GPA were a better predictor for educational achievement of medical students than rank on university entrance exam and students with high GPA have not been on probation at all. Also parent's education and occupation influence the students' attitudes toward their medical study. Conclusion: High-school GPA is a predictor for university GPA .This may warrant further investigation into criteria of medical university entrance exam. Keywords: UNIVERSITY ACHIEVEMENT, HIGH-SCHOOL GPA, UNIVERSITY SUCCESS, PREDICTOR

Vigorous physical activity predicts higher heart rate variability among younger adults.

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May, Richard; McBerty, Victoria; Zaky, Adam; Gianotti, Melino

2017-06-14

Baseline heart rate variability (HRV) is linked to prospective cardiovascular health. We tested intensity and duration of weekly physical activity as predictors of heart rate variability in young adults. Time and frequency domain indices of HRV were calculated based on 5-min resting electrocardiograms collected from 82 undergraduate students. Hours per week of both moderate and vigorous activity were estimated using the International Physical Activity Questionnaire. In regression analyses, hours of vigorous physical activity, but not moderate activity, significantly predicted greater time domain and frequency domain indices of heart rate variability. Adjusted for weekly frequency, greater daily duration of vigorous activity failed to predict HRV indices. Future studies should test direct measurements of vigorous activity patterns as predictors of autonomic function in young adulthood.

Predictors of yoga use among internal medicine patients.

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Cramer, Holger; Lauche, Romy; Langhorst, Jost; Paul, Anna; Michalsen, Andreas; Dobos, Gustav

2013-07-13

Yoga seems to be an effective means to cope with a variety of internal medicine conditions. While characteristics of yoga users have been investigated in the general population, little is known about predictors of yoga use and barriers to yoga use in internal medicine patients. The aim of this cross-sectional analysis was to identify sociodemographic, clinical, and psychological predictors of yoga use among internal medicine patients. A cross-sectional analysis was conducted among all patients being referred to a Department of Internal and Integrative Medicine during a 3-year period. It was assessed whether patients had ever used yoga for their primary medical complaint, the perceived benefit, and the perceived harm of yoga practice. Potential predictors of yoga use including sociodemographic characteristics, health behavior, internal medicine diagnosis, general health status, mental health, satisfaction with health, and health locus of control were assessed; and associations with yoga use were tested using multiple logistic regression analysis. Odds ratios (OR) with 95% confidence intervals (CI) were calculated for significant predictors. Of 2486 participants, 303 (12.19%) reported having used yoga for their primary medical complaint. Of those, 184 (60.73%) reported benefits and 12 (3.96%) reported harms due to yoga practice. Compared to yoga non-users, yoga users were more likely to be 50-64 years old (OR = 1.45; 95%CI = 1.05-2.01; P = 0.025); female (OR = 2.45; 95%CI = 1.45-4.02; P internal health locus of control (OR = 1.92; 95%CI = 1.38-2.67; P internal integrative medicine patient population and was commonly perceived as beneficial. Yoga use was not associated with the patients' specific diagnosis but with sociodemographic factors, mental health, and health locus of control. To improve adherence to yoga practice, it should be considered that male, younger, and anxious patients and those with low internal health locus of control might be less intrinsically

Suppressor Variables: The Difference between "Is" versus "Acting As"

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Ludlow, Larry; Klein, Kelsey

2014-01-01

Correlated predictors in regression models are a fact of life in applied social science research. The extent to which they are correlated will influence the estimates and statistics associated with the other variables they are modeled along with. These effects, for example, may include enhanced regression coefficients for the other variables--a…

Probabilistic Electricity Price Forecasting Models by Aggregation of Competitive Predictors

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Claudio Monteiro

2018-04-01

Full Text Available This article presents original probabilistic price forecasting meta-models (PPFMCP models, by aggregation of competitive predictors, for day-ahead hourly probabilistic price forecasting. The best twenty predictors of the EEM2016 EPF competition are used to create ensembles of hourly spot price forecasts. For each hour, the parameter values of the probability density function (PDF of a Beta distribution for the output variable (hourly price can be directly obtained from the expected and variance values associated to the ensemble for such hour, using three aggregation strategies of predictor forecasts corresponding to three PPFMCP models. A Reliability Indicator (RI and a Loss function Indicator (LI are also introduced to give a measure of uncertainty of probabilistic price forecasts. The three PPFMCP models were satisfactorily applied to the real-world case study of the Iberian Electricity Market (MIBEL. Results from PPFMCP models showed that PPFMCP model 2, which uses aggregation by weight values according to daily ranks of predictors, was the best probabilistic meta-model from a point of view of mean absolute errors, as well as of RI and LI. PPFMCP model 1, which uses the averaging of predictor forecasts, was the second best meta-model. PPFMCP models allow evaluations of risk decisions based on the price to be made.

Dominant role of plant physiology in trend and variability of gross primary productivity in North America

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Zhou, Sha; Zhang, Yao; Ciais, Philippe; Xiao, Xiangming; Luo, Yiqi; Caylor, Kelly K.; Huang, Yuefei; Wang, Guangqian

2017-02-01

Annual gross primary productivity (GPP) varies considerably due to climate-induced changes in plant phenology and physiology. However, the relative importance of plant phenology and physiology on annual GPP variation is not clear. In this study, a Statistical Model of Integrated Phenology and Physiology (SMIPP) was used to evaluate the relative contributions of maximum daily GPP (GPPmax) and the start and end of growing season (GSstart and GSend) to annual GPP variability, using a regional GPP product in North America during 2000-2014 and GPP data from 24 AmeriFlux sites. Climatic sensitivity of the three indicators was assessed to investigate the climate impacts on plant phenology and physiology. The SMIPP can explain 98% of inter-annual variability of GPP over mid- and high latitudes in North America. The long-term trend and inter-annual variability of GPP are dominated by GPPmax both at the ecosystem and regional scales. During warmer spring and autumn, GSstart is advanced and GSend delayed, respectively. GPPmax responds positively to summer temperature over high latitudes (40-80°N), but negatively in mid-latitudes (25-40°N). This study demonstrates that plant physiology, rather than phenology, plays a dominant role in annual GPP variability, indicating more attention should be paid to physiological change under futher climate change.

Baseline Predictors for Success Following Strategy-Based Cognitive Remediation Group Training in Schizophrenia.

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Farreny, Aida; Aguado, Jaume; Corbera, Silvia; Ochoa, Susana; Huerta-Ramos, Elena; Usall, Judith

2016-08-01

Our aim was to examine predictive variables associated with the improvement in cognitive, clinical, and functional outcomes after outpatient participation in REPYFLEC strategy-based Cognitive Remediation (CR) group training. In addition, we investigated which factors might be associated with some long-lasting effects at 6 months' follow-up. Predictors of improvement after CR were studied in a sample of 29 outpatients with schizophrenia. Partial correlations were computed between targeted variables and outcomes of response to explore significant associations. Subsequently, we built linear regression models for each outcome variable and predictors of improvement. The improvement in negative symptoms at posttreatment was linked to faster performance in the Trail Making Test B. Disorganization and cognitive symptoms were related to changes in executive function at follow-up. Lower levels of positive symptoms were related to durable improvements in life skills. Levels of symptoms and cognition were associated with improvements following CR, but the pattern of resulting associations was nonspecific.

Predictors of English Health Literacy among U.S. Hispanic Immigrants: The importance of language, bilingualism and sociolinguistic environment

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Hund, Lauren; Soto Mas, Francisco

2016-01-01

In the United States, data confirm that Spanish-speaking immigrants are particularly affected by the negative health outcomes associated with low health literacy. Although the literature points to variables such as age, educational background and language, only a few studies have investigated the factors that may influence health literacy in this group. Similarly, the role that bilingualism and/or multilingualism play in health literacy assessment continues to be an issue in need of further research. The purpose of this study was to examine the predictors of English health literacy among adult Hispanic immigrants whose self-reported primary language is Spanish, but who live and function in a bilingual community. It also explored issues related to the language of the instrument. An analysis of data collected through a randomized controlled study was conducted. Results identified English proficiency as the strongest predictor of health literacy (p sociolinguistic environment affect health literacy in language minority adults; proposes language approaches that may be more appropriate for measuring health literacy in these populations; and recommends further place-based research to determine whether the connection between language proficiency and health is generalizable to border communities. PMID:27127416

Predictors of English Health Literacy among U.S. Hispanic Immigrants: The importance of language, bilingualism and sociolinguistic environment.

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Jacobson, Holly E; Hund, Lauren; Soto Mas, Francisco

In the United States, data confirm that Spanish-speaking immigrants are particularly affected by the negative health outcomes associated with low health literacy. Although the literature points to variables such as age, educational background and language, only a few studies have investigated the factors that may influence health literacy in this group. Similarly, the role that bilingualism and/or multilingualism play in health literacy assessment continues to be an issue in need of further research. The purpose of this study was to examine the predictors of English health literacy among adult Hispanic immigrants whose self-reported primary language is Spanish, but who live and function in a bilingual community. It also explored issues related to the language of the instrument. An analysis of data collected through a randomized controlled study was conducted. Results identified English proficiency as the strongest predictor of health literacy (p sociolinguistic environment affect health literacy in language minority adults; proposes language approaches that may be more appropriate for measuring health literacy in these populations; and recommends further place-based research to determine whether the connection between language proficiency and health is generalizable to border communities.

Haptoglobin phenotype is not a predictor of recurrence free survival in high-risk primary breast cancer patients

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Harris Nathan

2008-12-01

Full Text Available Abstract Background Better breast cancer prognostication may improve selection of patients for adjuvant therapy. We conducted a retrospective follow-up study in which we investigated sera of high-risk primary breast cancer patients, to search for proteins predictive of recurrence free survival. Methods Two sample sets of high-risk primary breast cancer patients participating in a randomised national trial investigating the effectiveness of high-dose chemotherapy were analysed. Sera in set I (n = 63 were analysed by surface enhanced laser desorption ionisation time-of-flight mass spectrometry (SELDI-TOF MS for biomarker finding. Initial results were validated by analysis of sample set II (n = 371, using one-dimensional gel-electrophoresis. Results In sample set I, the expression of a peak at mass-to-charge ratio 9198 (relative intensity ≤ 20 or > 20, identified as haptoglobin (Hp alpha-1 chain, was strongly associated with recurrence free survival (global Log-rank test; p = 0.0014. Haptoglobin is present in three distinct phenotypes (Hp 1-1, Hp 2-1, and Hp 2-2, of which only individuals with phenotype Hp 1-1 or Hp 2-1 express the haptoglobin alpha-1 chain. As the expression of the haptoglobin alpha-1 chain, determined by SELDI-TOF MS, corresponds to the phenotype, initial results were validated by haptoglobin phenotyping of the independent sample set II by native one-dimensional gel-electrophoresis. With the Hp 1-1 phenotype as the reference category, the univariate hazard ratio for recurrence was 0.87 (95% CI: 0.56 – 1.34, p = 0.5221 and 1.03 (95% CI: 0.65 – 1.64, p = 0.8966 for the Hp 2-1 and Hp 2-2 phenotypes, respectively, in sample set II. Conclusion In contrast to our initial results, the haptoglobin phenotype was not identified as a predictor of recurrence free survival in high-risk primary breast cancer in our validation set. Our initial observation in the discovery set was probably the result of a type I error (i.e. false positive

Selecting candidate predictor variables for the modelling of post ...

African Journals Online (AJOL)

Objectives: The objective of this project was to determine the variables most likely to be associated with post- .... (as defined subjectively by the research team) in global .... ed on their lack of knowledge of wealth scoring tools. ... HIV serology.

Predictive Variables of Success for Latino Enrollment in Higher Education

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Sanchez, Jafeth E.; Usinger, Janet; Thornton, Bill W.

2015-01-01

It is necessary to better understand the unique variables that serve as predictors of Latino students' postsecondary enrollment and success. Impacts of various variables were examined among 850 Latino and Caucasian students (76% and 24% of the sample, respectively). Gender, ethnicity, perceived affordability, high school grade point average, and…

Psychosocial predictors of treatment outcome for trauma-affected refugees

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Charlotte Sonne

2016-05-01

Full Text Available 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

Predictors of Intrusive Sexual Behaviors in Preschool-Aged Children.

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Smith, Tyler J; Lindsey, Rebecca A; Bohora, Som; Silovsky, Jane F

2018-04-10

Intrusive sexual behaviors (ISBs) are a specific type of problematic sexual behavior characterized by the invasive nature of the acts (e.g., touching others' private parts, attempting intercourse; Friedrich, 1997). The limited amount of research on ISBs has focused on sexual abuse history as the primary predictor. However, Friedrich, Davies, Feher, and Wright (2003) found that ISBs in children up to age 12 were related to four broad conceptual factors: (a) exposure to sexual content, (b) exposure to violent behavior, (c) family adversity, and (d) child vulnerabilities. The current study sought to replicate Friedrich's study using a clinical sample of 217 preschool-aged children (ages two to six). Results supported variables from within the child vulnerabilities construct (externalizing behaviors, β EXT  = 0.032, p = 0.001), post-traumatic stress disorder (PTSD) criteria met (β PTSD  = 0.177, p = 0.02), and an inverse relationship with age (β AGE  = -0.206, p = 0.024). These results highlight the importance of considering childhood behavioral patterns and reactivity to traumatic events as correlates of ISBs in young children.

Demographic, psychometric, and case progression information as predictors of return-to-work in teachers undergoing occupational rehabilitation.

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Young, A E; Russell, J

1995-12-01

Occupational stress is a significant problem and is of particular concern for educational organizations. It was the aim of the current project to identify variables that could predict return-to-work outcomes in a group of teachers who had taken leave for a work-related stress condition. Demographic, psychometric, and case progression data were collected for 119 teachers who had taken Workers' Compensation Leave and were participating in a rehabilitation program. The participants' return to work outcomes were followed-up at least 12 months after they initially left their workplace. Hierarchical discriminant function analysis indicated that 84.62% of the cases could be correctly classified as either "returning to work" or "not returning to work due to illness." The main predictor variables were: if the individual had attempted to return to work within 505 days of injury, the individual's health behaviors, the sex of the individual, and the type of school in which he or she was employed (primary or secondary). It is suggested that the derived model could be further developed and used to predict return to work from stress-related illnesses.

[Study of obesity in a rural children population and its relationship with anthropometric variables].

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Vaquero-Álvarez, Manuel; Romero-Saldaña, Manuel; Valle-Alonso, Joaquin; Llorente Cantarero, Francisco Jesús; Blancas-Sánchez, Isabel María; Fonseca Del Pozo, Francisco Javier

2018-05-19

To know the prevalence of obesity in primary and secondary school students, and to evaluate the diagnostic accuracy of anthropometric variables for its detection. Cross-sectional study. Rural area of Córdoba. In the year 2014. Student population. A stratified sampling was performed according to age, gender and educational centers. A total of 323 students from 6 to 16 years were included in the study, all parents had signed informed consent. The prevalence of obesity was determined and sociodemographic, anthropometric, physical condition and dietary predictor variables were collected. A binary logistic regression was performed determining crude and adjusted Odds Ratio (OR) values, ROC curves were obtained and cut-off values were determined, calculating the sensitivity, specificity and Youden index. The prevalence of overweight and obesity was 26.2% and 22.3%, respectively. Only 15.2% of school children had an optimal Mediterranean diet. The waist-height ratio (WtHR) was the predictive variable with the highest adjusted OR 7.1 (4.3-11.6) and the largest area under the curve 0.954 (0.928-0.979), from a global cut-off value to discriminate obesity of 0.507. This gave a sensitivity of 90% and specificity of 87.2%. The high prevalence of obesity, the low-medium adherence to the Mediterranean diet and the low physical fitness make this population a priority target for the prevention of future cardiovascular events. The WtHR has been the best anthropometric predictor of obesity, recommending its use for the diagnosis of obesity in children at the expense of body mass index. Copyright © 2018 The Authors. Publicado por Elsevier España, S.L.U. All rights reserved.

Primary caregivers of in-home oxygen-dependent children: predictors of stress based on characteristics, needs and social support.

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Wang, Kai-Wei K; Lin, Hung-Ching; Lee, Chin-Ting; Lee, Kuo-Sheng

2016-07-01

To identify the predictors of primary caregivers' stress in caring for in-home oxygen-dependent children by examining the association between their levels of stress, caregiver needs and social support. Increasing numbers of primary caregivers of oxygen-dependent children experience caregiving stress that warrants investigation. The study used a cross-sectional design with three psychometric scales - Modified-Parenting Stress Index, Caregiver Needs Scale and Social Support Index. The data collected during 2010-2011 were from participants who were responsible for their child's care that included oxygen therapy for ≧6 hours/day; the children's ages ranged from 3 months-16 years. Descriptive statistics and multivariable linear regression were used. A total of 104 participants (M = 34, F = 70) were recruited, with an average age of 39·7 years. The average age of the oxygen-dependent children was 6·68 years and their daily use of oxygen averaged 11·39 hours. The caregivers' overall levels of stress were scored as high and information needs were scored as the highest. The most available support from family and friends was emotional support. Informational support was mostly received from health professionals, but both instrumental and emotional support were important. Levels of stress and caregiver needs were significantly correlated. Multivariable linear regression analyses identified three risk factors predicting stress, namely, the caregiver's poor health status, the child's male gender and the caregiver's greater financial need. To support these caregivers, health professionals can maintain their health status and provide instrumental, emotional, informational and financial support. © 2016 John Wiley & Sons Ltd.

Predictors of Secondary Traumatic Stress among Children's Advocacy Center Forensic Interviewers

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Bonach, Kathryn; Heckert, Alex

2012-01-01

This study examined various predictor variables that were hypothesized to impact secondary traumatic stress in forensic interviewers (n = 257) from children's advocacy centers across the United States. Data were examined to investigate the relationship between organizational satisfaction, organizational buffers, and job support with secondary…

Pharmacogenetic Predictors of Methylphenidate Dose-Response in Attention-Deficit/Hyperactivity Disorder

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Froehlich, Tanya E.; Epstein, Jeffery N.; Nick, Todd G.; Melguizo Castro, Maria S.; Stein, Mark A.; Brinkman, William B.; Graham, Amanda J.; Langberg, Joshua M.; Kahn, Robert S.

2011-01-01

Objective: Because of significant individual variability in attention-deficit/hyperactivity disorder (ADHD) medication response, there is increasing interest in identifying genetic predictors of treatment effects. This study examined the role of four catecholamine-related candidate genes in moderating methylphenidate (MPH) dose-response. Method:…

Examining Postsecondary Education Predictors and Participation for Students with Learning Disabilities

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Joshi, Gauri S.; Bouck, Emily C.

2017-01-01

Given the history of poor postschool outcomes for students with disabilities, researchers repeatedly sought to demonstrate the links between predictor variables and postschool outcomes for students with disabilities. This secondary data analysis used the National Longitudinal Transition Study-2 to examine the relationship between postsecondary…

Una metodología para la predicción espacial de una variable escalar georeferenciada basada en su información y la de una variable funcional / A methodology for the spatial prediction of a scalar variable geographically referenced based on its information and a functional variable

OpenAIRE

Herrera Pérez, Luis Antonio

2012-01-01

En geoestadística se resuelve el problema de predicción espacial de una variable aleatoria, vector aleatorio o variable aleatoria funcional cuando se tiene la información de un proceso estocástico (o campo aleatorio) univariado, multivariado o funcional, respectivamente. En este trabajo se combinan algunas técnicas geoestadísticas multivariadas y funcionales con el objetivo de proponer un predictor espacial de una variable aleatoria escalar cuando se dispone simultáneamente de realizaciones d...

Predictors of Readmission after Inpatient Plastic Surgery

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Umang Jain

2014-03-01

Full Text Available 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.

In-school service predictors of employment for individuals with intellectual disability.

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Park, Jiyoon; Bouck, Emily

2018-04-17

Although there are many secondary data analyses of the National Longitudinal Transition Study-2 (NLTS-2) to investigate post-school outcome for students with disabilities, there has been a lack of research with in-school service predictors and post-school outcome for students with specific disability categories. This study was a secondary data analysis of NLTS-2 to investigate the relationship between current employment status and in-school services for individuals with intellectual disability. Statistical methods such as descriptive statistics and logistic regression were used to analyze NLTS-2 data set. The main findings included that in-school services were correlated with current employment status, and that primary disability (i.e., mild intellectual disability and moderate/severe intellectual disability) was associated with current employment status. In-school services are critical in predicting current employment for individuals with intellectual disability. Also, data suggest additional research is needed to investigate various in-school services and variables that could predict employment differences between individuals with mild and moderate/severe intellectual disability. Copyright © 2018 Elsevier Ltd. All rights reserved.

Investigation of basic cognitive predictors of reading and spelling abilities in Tunisian third-grade primary school children.

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Batnini, Soulef; Uno, Akira

2015-06-01

This study investigated first the main cognitive abilities; phonological processing, visual cognition, automatization and receptive vocabulary in predicting reading and spelling abilities in Arabic. Second, we compared good/poor readers and spellers to detect the characteristics of cognitive predictors which contribute to identifying reading and spelling difficulties in Arabic speaking children. A sample of 116 Tunisian third-grade children was tested on their abilities to read and spell, phonological processing, visual cognition, automatization and receptive vocabulary. For reading, phonological processing and automatization uniquely predicted Arabic word reading and paragraph reading abilities. Automatization uniquely predicted Arabic non-word reading ability. For spelling, phonological processing was a unique predictor for Arabic word spelling ability. Furthermore, poor readers had significantly lower scores on the phonological processing test and slower reading times on the automatization test as compared with good readers. Additionally, poor spellers showed lower scores on the phonological processing test as compared with good spellers. Visual cognitive processing and receptive vocabulary were not significant cognitive predictors of Arabic reading and spelling abilities for Tunisian third grade children in this study. Our results are consistent with previous studies in alphabetic orthographies and demonstrate that phonological processing and automatization are the best cognitive predictors in detecting early literacy problems. We suggest including phonological processing and automatization tasks in screening tests and in intervention programs may help Tunisian children with poor literacy skills overcome reading and spelling difficulties in Arabic. Copyright © 2014 The Japanese Society of Child Neurology. Published by Elsevier B.V. All rights reserved.

Self-rated health supersedes patient satisfaction with service quality as a predictor of survival in prostate cancer.

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Gupta, Digant; Patel, Kamal; Lis, Christopher G

2015-09-04

We have previously reported that higher patient satisfaction (PS) with service quality is associated with favorable survival outcomes in a variety of cancers. However, we argued that patients with greater satisfaction might be the ones with better self-rated health (SRH), a recognized predictor of cancer survival. We therefore investigated whether SRH can supersede patient satisfaction as a predictor of survival in prostate cancer. Nine hundred seventeen prostate cancer treated at four Cancer Treatment Centers of America(®) hospitals between July 2011 and March 2013. PS was measured on a 7-point scale ranging from "completely dissatisfied" to "completely satisfied". SRH was measured on a 7-point scale ranging from "very poor" to "excellent". Both were dichotomized into two categories: top box response (7) versus all others (1-6). Patient survival was the primary end point. Cox regression was used to evaluate the association between PS and survival controlling for covariates. The response rate for this study was 72%. Majority of patients (n = 517) had stage II disease. Seven hundred eighty-seven (85.8%) patients were "completely satisfied". Three hundred nineteen (34.8%) patients had "excellent" SRH. There was a weak but significant correlation between satisfaction and SRH (Kendall's tau b = 0.18; p < 0.001). On univariate analysis, "completely satisfied" patients had a significantly lower risk of mortality (HR = 0.46; 95% CI: 0.25-0.85; p = 0.01). Similarly, patients with "excellent" SRH had a significantly lower risk of mortality (HR = 0.25; 95% CI: 0.11-0.58; p = 0.001). On multivariate analysis, SRH was found to be a significant predictor of survival (HR = 0.31; 95% CI: 0.12-0.79; p = 0.01) while patient satisfaction was not (HR = 0.76; 95% CI: 0.40-1.5; p = 0.40). SRH supersedes patient satisfaction with service quality as a predictor of survival in prostate cancer. SRH should be used as a control variable in analyses involving patient satisfaction as a

Modeling Linguistic Variables With Regression Models: Addressing Non-Gaussian Distributions, Non-independent Observations, and Non-linear Predictors With Random Effects and Generalized Additive Models for Location, Scale, and Shape

Directory of Open Access Journals (Sweden)

Christophe Coupé

2018-04-01

Full Text Available As statistical approaches are getting increasingly used in linguistics, attention must be paid to the choice of methods and algorithms used. This is especially true since they require assumptions to be satisfied to provide valid results, and because scientific articles still often fall short of reporting whether such assumptions are met. Progress is being, however, made in various directions, one of them being the introduction of techniques able to model data that cannot be properly analyzed with simpler linear regression models. We report recent advances in statistical modeling in linguistics. We first describe linear mixed-effects regression models (LMM, which address grouping of observations, and generalized linear mixed-effects models (GLMM, which offer a family of distributions for the dependent variable. Generalized additive models (GAM are then introduced, which allow modeling non-linear parametric or non-parametric relationships between the dependent variable and the predictors. We then highlight the possibilities offered by generalized additive models for location, scale, and shape (GAMLSS. We explain how they make it possible to go beyond common distributions, such as Gaussian or Poisson, and offer the appropriate inferential framework to account for ‘difficult’ variables such as count data with strong overdispersion. We also demonstrate how they offer interesting perspectives on data when not only the mean of the dependent variable is modeled, but also its variance, skewness, and kurtosis. As an illustration, the case of phonemic inventory size is analyzed throughout the article. For over 1,500 languages, we consider as predictors the number of speakers, the distance from Africa, an estimation of the intensity of language contact, and linguistic relationships. We discuss the use of random effects to account for genealogical relationships, the choice of appropriate distributions to model count data, and non-linear relationships

Modeling Linguistic Variables With Regression Models: Addressing Non-Gaussian Distributions, Non-independent Observations, and Non-linear Predictors With Random Effects and Generalized Additive Models for Location, Scale, and Shape.

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Coupé, Christophe

2018-01-01

As statistical approaches are getting increasingly used in linguistics, attention must be paid to the choice of methods and algorithms used. This is especially true since they require assumptions to be satisfied to provide valid results, and because scientific articles still often fall short of reporting whether such assumptions are met. Progress is being, however, made in various directions, one of them being the introduction of techniques able to model data that cannot be properly analyzed with simpler linear regression models. We report recent advances in statistical modeling in linguistics. We first describe linear mixed-effects regression models (LMM), which address grouping of observations, and generalized linear mixed-effects models (GLMM), which offer a family of distributions for the dependent variable. Generalized additive models (GAM) are then introduced, which allow modeling non-linear parametric or non-parametric relationships between the dependent variable and the predictors. We then highlight the possibilities offered by generalized additive models for location, scale, and shape (GAMLSS). We explain how they make it possible to go beyond common distributions, such as Gaussian or Poisson, and offer the appropriate inferential framework to account for 'difficult' variables such as count data with strong overdispersion. We also demonstrate how they offer interesting perspectives on data when not only the mean of the dependent variable is modeled, but also its variance, skewness, and kurtosis. As an illustration, the case of phonemic inventory size is analyzed throughout the article. For over 1,500 languages, we consider as predictors the number of speakers, the distance from Africa, an estimation of the intensity of language contact, and linguistic relationships. We discuss the use of random effects to account for genealogical relationships, the choice of appropriate distributions to model count data, and non-linear relationships. Relying on GAMLSS, we

Latitude of residence and position in time zone are predictors of cancer incidence, cancer mortality, and life expectancy at birth.

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Borisenkov, Mikhail F

2011-03-01

According to the hypothesis of circadian disruption, external factors that disturb the function of the circadian system can raise the risk of malignant neoplasm and reduce life span. Recent work has shown that the functionality of the circadian system is dependent not only on latitude of residence but also on the region's position in the time zone. The purpose of the present research was to examine the influence of latitude and time zone on cancer incidence, cancer mortality, and life expectancy at birth. A stepwise multiple regression analysis was carried out on residents of 59 regions of the European part of the Russian Federation (EPRF) using age-standardized parameters (per 100,000) of cancer incidence (CI), cancer mortality (CM), and life expectancy at birth (LE, yrs) as dependent variables. The geographical coordinates (latitude and position in the time zone) of the regions were used as independent variables, controlling for the level of economic development in the regions. The same analysis was carried out for LE in 31 regions in China. Latitude was the strongest predictor of LE in the EPRF population; it explained 48% and 45% of the variability in LE of women and men, respectively. Position within the time zone accounted for an additional 4% and 3% variability of LE in women and men, respectively. The highest values for LE were observed in the southeast of the EPRF. In China, latitude was not a predictor of LE, whereas position in the time zone explained 15% and 18% of the LE variability in women and men, respectively. The highest values of LE were observed in the eastern regions of China. Both latitude and position within the time zone were predictors for CI and CM of the EPRF population. Latitude was the best predictor of stomach CI and CM; this predictor explained 46% and 50% of the variability, respectively. Position within the time zone was the best predictor of female breast CM; it explained 15% of the variability. In most cases, CI and CM increased

Predictors of psychological resilience amongst medical students following major earthquakes.

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Carter, Frances; Bell, Caroline; Ali, Anthony; McKenzie, Janice; Boden, Joseph M; Wilkinson, Timothy; Bell, Caroline

2016-05-06

To identify predictors of self-reported psychological resilience amongst medical students following major earthquakes in Canterbury in 2010 and 2011. Two hundred and fifty-three medical students from the Christchurch campus, University of Otago, were invited to participate in an electronic survey seven months following the most severe earthquake. Students completed the Connor-Davidson Resilience Scale, the Depression, Anxiety and Stress Scale, the Post-traumatic Disorder Checklist, the Work and Adjustment Scale, and the Eysenck Personality Questionnaire. Likert scales and other questions were also used to assess a range of variables including demographic and historical variables (eg, self-rated resilience prior to the earthquakes), plus the impacts of the earthquakes. The response rate was 78%. Univariate analyses identified multiple variables that were significantly associated with higher resilience. Multiple linear regression analyses produced a fitted model that was able to explain 35% of the variance in resilience scores. The best predictors of higher resilience were: retrospectively-rated personality prior to the earthquakes (higher extroversion and lower neuroticism); higher self-rated resilience prior to the earthquakes; not being exposed to the most severe earthquake; and less psychological distress following the earthquakes. Psychological resilience amongst medical students following major earthquakes was able to be predicted to a moderate extent.

Predictors of hope among women with breast cancer during chemotherapy

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Alessandra Cristina Sartore Balsanelli

Full Text Available Abstract OBJECTIVE Identifying the predictors of hope in patients with breast cancer during chemotherapy treatment. METHOD A prospective longitudinal study. The sample was composed of 122 women who responded to the instruments of hope, anxiety and depression, coping, fatigue, religiosity and self-esteem in the first and last cycle of chemotherapy. These variables were used in adjusting the logistic regression model that characterized multivariate statistics, allowing identification of predictor variables. RESULT The increase of hope at the end of chemotherapy treatment was statistically significant (p = 0.012. The delay in undergoing treatment from the onset of breast cancer symptoms, Karnofsky Performance Status, depression, self-esteem and pain were characterized as factors being associated to hope by univariate analysis. Among the variables analyzed, pain was the only predicting factor of hope. CONCLUSION Pain was the predicting factor in this sample. Hope increased during treatment and revealed the following associated factors: Karnofsky Performance Status, delay in starting the treatment, depression, self-esteem and pain. This study brought forth a multidisciplinary contribution, allowing for understanding the factors that can influence hope and presenting support to nursing care. The data evidenced conditions of improvement or worsening of hope, which requires interdisciplinary attention in Oncology.

Empirical Investigation of Predictors of Success in an MBA Programme

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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…

Environmental Literacy in Madeira Island (Portugal): The Influence of Demographic Variables

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Spinola, Hélder

2016-01-01

Demographic factors are among those that influence environmental literacy and, particularly, environmentally responsible behaviours, either directly or due to an aggregation effect dependent on other types of variables. Present study evaluates a set of demographic variables as predictors for environmental literacy among 9th grade students from…

An Examination of Predictor Variables for Problematic Internet Use

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Bulut Serin, Nerguz

2011-01-01

This study examines problematic Internet use among university students in terms of gender, while also gauging the impact of personality traits, life satisfaction and loneliness variables on problematic Internet use. A total of 411 university students studying Education in North Cyprus participated in the study. The participants were selected using…

Models of Marine Fish Biodiversity: Assessing Predictors from Three Habitat Classification Schemes.

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Yates, Katherine L; Mellin, Camille; Caley, M Julian; Radford, Ben T; Meeuwig, Jessica J

2016-01-01

Prioritising biodiversity conservation requires knowledge of where biodiversity occurs. Such knowledge, however, is often lacking. New technologies for collecting biological and physical data coupled with advances in modelling techniques could help address these gaps and facilitate improved management outcomes. Here we examined the utility of environmental data, obtained using different methods, for developing models of both uni- and multivariate biodiversity metrics. We tested which biodiversity metrics could be predicted best and evaluated the performance of predictor variables generated from three types of habitat data: acoustic multibeam sonar imagery, predicted habitat classification, and direct observer habitat classification. We used boosted regression trees (BRT) to model metrics of fish species richness, abundance and biomass, and multivariate regression trees (MRT) to model biomass and abundance of fish functional groups. We compared model performance using different sets of predictors and estimated the relative influence of individual predictors. Models of total species richness and total abundance performed best; those developed for endemic species performed worst. Abundance models performed substantially better than corresponding biomass models. In general, BRT and MRTs developed using predicted habitat classifications performed less well than those using multibeam data. The most influential individual predictor was the abiotic categorical variable from direct observer habitat classification and models that incorporated predictors from direct observer habitat classification consistently outperformed those that did not. Our results show that while remotely sensed data can offer considerable utility for predictive modelling, the addition of direct observer habitat classification data can substantially improve model performance. Thus it appears that there are aspects of marine habitats that are important for modelling metrics of fish biodiversity that are

Statistical methods and regression analysis of stratospheric ozone and meteorological variables in Isfahan

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Hassanzadeh, S.; Hosseinibalam, F.; Omidvari, M.

2008-04-01

Data of seven meteorological variables (relative humidity, wet temperature, dry temperature, maximum temperature, minimum temperature, ground temperature and sun radiation time) and ozone values have been used for statistical analysis. Meteorological variables and ozone values were analyzed using both multiple linear regression and principal component methods. Data for the period 1999-2004 are analyzed jointly using both methods. For all periods, temperature dependent variables were highly correlated, but were all negatively correlated with relative humidity. Multiple regression analysis was used to fit the meteorological variables using the meteorological variables as predictors. A variable selection method based on high loading of varimax rotated principal components was used to obtain subsets of the predictor variables to be included in the linear regression model of the meteorological variables. In 1999, 2001 and 2002 one of the meteorological variables was weakly influenced predominantly by the ozone concentrations. However, the model did not predict that the meteorological variables for the year 2000 were not influenced predominantly by the ozone concentrations that point to variation in sun radiation. This could be due to other factors that were not explicitly considered in this study.

Hospitalizations for ambulatory care sensitive conditions and quality of primary care: their relation with socioeconomic and health care variables in the Madrid regional health service (Spain).

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Magán, Purificación; Alberquilla, Angel; Otero, Angel; Ribera, José Manuel

2011-01-01

Hospitalizations for ambulatory care sensitive conditions (ACSH) have been proposed as an indirect indicator of the effectiveness and quality of care provided by primary health care. To investigate the association of ACSH rates with population socioeconomic factors and with characteristics of primary health care. Cross-sectional, ecologic study. Using hospital discharge data, ACSH were selected from the list of conditions validated for Spain. All 34 health districts in the Region of Madrid, Spain. Individuals aged 65 years or older residing in the region of Madrid between 2001 and 2003, inclusive. Age- and gender-adjusted ACSH rates in each health district. The adjusted ACSH rate per 1000 population was 35.37 in men and 20.45 in women. In the Poisson regression analysis, an inverse relation was seen between ACSH rates and the socioeconomic variables. Physician workload was the only health care variable with a statistically significant relation (rate ratio of 1.066 [95% CI; 1.041-1.091]). These results were similar in the analyses disaggregated by gender. In the multivariate analyses that included health care variables, none of the health care variables were statistically significant. ACSH may be more closely related with socioeconomic variables than with characteristics of primary care activity. Therefore, other factors outside the health system must be considered to improve health outcomes in the population.

Examining Predictors of Help Giving Toward People With a Mental Illness

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Alyssia Rossetto

2014-05-01

Full Text Available Little is known about factors influencing helping behaviors toward a person with mental illness. This study explored a range of predictors of helping intentions and behaviors using data from a national survey of Australian adults. Participants (n = 6,019 were randomly assigned one of six vignettes and asked how they would help the character if it was someone they knew and cared about, and asked whether and how they had helped a person in real life with a similar problem. Responses were scored using a system based on the Mental Health First Aid action plan. Regression analyses examined predictors of high helping scores in relation to type of disorder and respondent demographics, mental health literacy, and experiences with mental illness. Predictors of harmful responses and seeking advice on how to help appropriately were also assessed. Significant predictors varied by vignette, with the only consistent predictor being female gender. Participants aged under 30 provided less helpful responses to people with social phobia. Mental health literacy variables were inconsistently related to helping, whereas more stigmatizing attitudes significantly predicted harmful responses and poor helping scores. Targeting males and young people may improve rates of helpful responses. Education campaigns aiming to reduce stigma and increase knowledge of schizophrenia may also minimize potentially harmful actions.

Assessing the accuracy and stability of variable selection methods for random forest modeling in ecology.

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Fox, Eric W; Hill, Ryan A; Leibowitz, Scott G; Olsen, Anthony R; Thornbrugh, Darren J; Weber, Marc H

2017-07-01

Random forest (RF) modeling has emerged as an important statistical learning method in ecology due to its exceptional predictive performance. However, for large and complex ecological data sets, there is limited guidance on variable selection methods for RF modeling. Typically, either a preselected set of predictor variables are used or stepwise procedures are employed which iteratively remove variables according to their importance measures. This paper investigates the application of variable selection methods to RF models for predicting probable biological stream condition. Our motivating data set consists of the good/poor condition of n = 1365 stream survey sites from the 2008/2009 National Rivers and Stream Assessment, and a large set (p = 212) of landscape features from the StreamCat data set as potential predictors. We compare two types of RF models: a full variable set model with all 212 predictors and a reduced variable set model selected using a backward elimination approach. We assess model accuracy using RF's internal out-of-bag estimate, and a cross-validation procedure with validation folds external to the variable selection process. We also assess the stability of the spatial predictions generated by the RF models to changes in the number of predictors and argue that model selection needs to consider both accuracy and stability. The results suggest that RF modeling is robust to the inclusion of many variables of moderate to low importance. We found no substantial improvement in cross-validated accuracy as a result of variable reduction. Moreover, the backward elimination procedure tended to select too few variables and exhibited numerous issues such as upwardly biased out-of-bag accuracy estimates and instabilities in the spatial predictions. We use simulations to further support and generalize results from the analysis of real data. A main purpose of this work is to elucidate issues of model selection bias and instability to ecologists interested in

Prognostic factors for short-term improvement in acute and persistent musculoskeletal pain consulters in primary care

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Bolton Jennifer E

2011-11-01

Full Text Available Abstract Background Given the costs associated with the management of musculoskeletal pain in primary care, predicting the course of these conditions remains a research priority. Much of the research into prognostic indicators however considers musculoskeletal conditions in terms of single pain sites whereas in reality, many patients present with pain in more than one site. The aim of this study was to identify prognostic factors for early improvement in primary care consulters with acute and persistent musculoskeletal conditions across a range of pain sites. Methods Consecutive patients with a new episode of musculoskeletal pain completed self-report questionnaires at baseline, and then again at the 4/5th treatment visit, and if they were still consulting, at the 10th visit. The outcome was defined as patient self-report improvement sufficient to make a meaningful difference. Independent predictors of outcome were identified using multivariate regression analyses. Results Acute (th visit. Several variables at baseline were associated with improvement at the 4/5th visit, but the predictive models were weak and unable to discriminate between patients who were improved and those who were not. In contrast, it was possible to elicit a predictive model for improvement later on at the 10th visit, but only in patients with persistent pain. Being employed, reporting a decline in work fear-avoidance behaviour at the 4/5th visit, and being better by the 4/5th visit, were all independently associated with improvement. This model accounted for 34.3% (p Conclusions We were unable to identify baseline characteristics that predicted early outcome in musculoskeletal pain patients. However, early self-reported improvement and decline in work fear-avoidance behaviour as predictors of later improvement highlighted the importance of speedy recovery in persistent musculoskeletal pain consulters. Our findings reinforce the elusive nature of baseline predictors, and

Significant Predictors for Effectiveness of Blended Learning in a Language Course

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Wichadee, Saovapa

2018-01-01

A wide variety of technologies combined with traditional classroom methods can make learning easier in the digital age. This paper studied undergraduate students' learning performance and satisfaction after they had studied in a blended setting and investigated if variables of learner characteristics and course features would be predictors for…

Are competition and extrinsic motivation reliable predictors of academic cheating?

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Gábor eOrosz

2013-02-01

Full Text Available 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 towards 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.

Are competition and extrinsic motivation reliable predictors of academic cheating?

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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.

Neural predictors of sensorimotor adaptation rate and savings.

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Cassady, Kaitlin; Ruitenberg, Marit; Koppelmans, Vincent; Reuter-Lorenz, Patricia; De Dios, Yiri; Gadd, Nichole; Wood, Scott; Riascos Castenada, Roy; Kofman, Igor; Bloomberg, Jacob; Mulavara, Ajitkumar; Seidler, Rachael

2018-04-01

In this study, we investigate whether individual variability in the rate of visuomotor adaptation and multiday savings is associated with differences in regional gray matter volume and resting-state functional connectivity. Thirty-four participants performed a manual adaptation task during two separate test sessions, on average 9 days apart. Functional connectivity strength between sensorimotor, dorsal cingulate, and temporoparietal regions of the brain was found to predict the rate of learning during the early phase of the adaptation task. In contrast, default mode network connectivity strength was found to predict both the rate of learning during the late adaptation phase and savings. As for structural predictors, greater gray matter volume in temporoparietal and occipital regions predicted faster early learning, whereas greater gray matter volume in superior posterior regions of the cerebellum predicted faster late learning. These findings suggest that the offline neural predictors of early adaptation may facilitate the cognitive aspects of sensorimotor adaptation, supported by the involvement of temporoparietal and cingulate networks. The offline neural predictors of late adaptation and savings, including the default mode network and the cerebellum, likely support the storage and modification of newly acquired sensorimotor representations. © 2017 Wiley Periodicals, Inc.

Enhanced risk prediction model for emergency department use and hospitalizations in patients in a primary care medical home.

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Takahashi, Paul Y; Heien, Herbert C; Sangaralingham, Lindsey R; Shah, Nilay D; Naessens, James M

2016-07-01

With the advent of healthcare payment reform, identifying high-risk populations has become more important to providers. Existing risk-prediction models often focus on chronic conditions. This study sought to better understand other factors to improve identification of the highest risk population. A retrospective cohort study of a paneled primary care population utilizing 2010 data to calibrate a risk prediction model of hospital and emergency department (ED) use in 2011. Data were randomly split into development and validation data sets. We compared the enhanced model containing the additional risk predictors with the Minnesota medical tiering model. The study was conducted in the primary care practice of an integrated delivery system at an academic medical center in Rochester, Minnesota. The study focus was primary care medical home patients in 2010 and 2011 (n = 84,752), with the primary outcome of subsequent hospitalization or ED visit. A total of 42,384 individuals derived the enhanced risk-prediction model and 42,368 individuals validated the model. Predictors included Adjusted Clinical Groups-based Minnesota medical tiering, patient demographics, insurance status, and prior year healthcare utilization. Additional variables included specific mental and medical conditions, use of high-risk medications, and body mass index. The area under the curve in the enhanced model was 0.705 (95% CI, 0.698-0.712) compared with 0.662 (95% CI, 0.656-0.669) in the Minnesota medical tiering-only model. New high-risk patients in the enhanced model were more likely to have lack of health insurance, presence of Medicaid, diagnosed depression, and prior ED utilization. An enhanced model including additional healthcare-related factors improved the prediction of risk of hospitalization or ED visit.

Predictors of Swimming Ability among Children and Adolescents in the United States

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Jennifer Pharr

2018-02-01

Full Text Available Swimming is an important source of physical activity and a life skill to prevent drowning. However, little research has been conducted to understand predictors of swimming ability. The purpose of this study was to understand factors that predict swimming ability among children and adolescents in the United States (US. This was a cross-sectional survey conducted between February and April of 2017 across five geographically diverse cities. Participants were accessed through the Young Christian Men’s Association (YMCA and included parents of children aged 4–11 years old and adolescents aged 12–17 years old. Independent t-test, analysis of variance (ANOVA, and univariate and multivariate analyses were conducted. Several factors were significant (p ≤ 0.05 predictors of swimming ability and explained 53% of the variance in swimming ability. Variables that were positively associated with swimming ability included: ability of parent(s to swim, child/adolescent age, a best friend who enjoys swimming, water-safety knowledge, pool open all year, and encouragement to swim from parent(s. Variables that were negatively associated with swimming ability included: fear of drowning, being African American, and being female. Interventions and programs to improve the swimming ability of children and adolescents could be developed with these predictors in mind.

Patient Characteristics and Patient Behavior as Predictors of Outcome in Cognitive Therapy and Exposure Therapy for Hypochondriasis.

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Richtberg, Samantha; Jakob, Marion; Höfling, Volkmar; Weck, Florian

2017-06-01

Psychotherapy for hypochondriasis has greatly improved over the last decades and cognitive-behavioral treatments are most promising. However, research on predictors of treatment outcome for hypochondriasis is rare. Possible predictors of treatment outcome in cognitive therapy (CT) and exposure therapy (ET) for hypochondriasis were investigated. Characteristics and behaviors of 75 patients were considered as possible predictors: sociodemographic variables (sex, age, and cohabitation); psychopathology (pretreatment hypochondriacal symptoms, comorbid mental disorders, and levels of depression, anxiety, and somatic symptoms); and patient in-session interpersonal behavior. Severity of pretreatment hypochondriacal symptoms, comorbid mental disorders, and patient in-session interpersonal behavior were significant predictors in multiple hierarchical regression analyses. Interactions between the predictors and the treatment (CT or ET) were not found. In-session interpersonal behavior is an important predictor of outcome. Furthermore, there are no specific contraindications to treating hypochondriasis with CT or ET. © 2016 Wiley Periodicals, Inc.

Phenobarbital for Neonatal Seizures: Response Rate and Predictors of Refractoriness.

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Spagnoli, Carlotta; Seri, Stefano; Pavlidis, Elena; Mazzotta, Silvia; Pelosi, Annalisa; Pisani, Francesco

2016-10-01

Background Phenobarbital is the first-line choice for neonatal seizures treatment, despite a response rate of approximately 45%. Failure to respond to acute anticonvulsants is associated with poor neurodevelopmental outcome, but knowledge on predictors of refractoriness is limited. Objective To quantify response rate to phenobarbital and to establish variables predictive of its lack of efficacy. Methods We retrospectively evaluated newborns with electrographically confirmed neonatal seizures admitted between January 1999 and December 2012 to the neonatal intensive care unit of Parma University Hospital (Italy), excluding neonates with status epilepticus. Response was categorized as complete (cessation of clinical and electrographic seizures after phenobarbital administration), partial (reduction but not cessation of electrographic seizures with the first bolus, response to the second bolus), or absent (no response after the second bolus). Multivariate analysis was used to identify independent predictors of refractoriness. Results Out of 91 newborns receiving phenobarbital, 57 (62.6%) responded completely, 15 (16.5%) partially, and 19 (20.9%) did not respond. Seizure type (p = 0.02), background electroencephalogram (EEG; p ≤ 0.005), and neurologic examination (p  ≤  0.005) correlated with response to phenobarbital. However, EEG (p  ≤  0.02) and seizure type (p  ≤  0.001) were the only independent predictors. Conclusion Our results suggest a prominent role of neurophysiological variables (background EEG and electrographic-only seizure type) in predicting the absence of response to phenobarbital in high-risk newborns. Georg Thieme Verlag KG Stuttgart · New York.

Neuron-Specific Enolase as a Predictor of Death or Poor Neurological Outcome After Out-of-Hospital Cardiac Arrest and Targeted Temperature Management at 33°C and 36°C

DEFF Research Database (Denmark)

Stammet, Pascal; Collignon, Olivier; Hassager, Christian

2015-01-01

levels were assessed in blood samples obtained 24, 48, and 72 h after return of spontaneous circulation. The primary outcome was neurological outcome at 6 months using the cerebral performance category score. RESULTS: NSE was a robust predictor of neurological outcome in a baseline variable......-adjusted model, and target temperature did not significantly affect NSE values. Median NSE values were 18 ng/ml versus 35 ng/ml, 15 ng/ml versus 61 ng/ml, and 12 ng/ml versus 54 ng/ml for good versus poor outcome at 24, 48, and 72 h, respectively (p ... with areas under the receiver-operating curve of 0.85 and 0.86, respectively. High NSE cutoff values with false positive rates ≤5% and tight 95% confidence intervals were able to reliably predict outcome. CONCLUSIONS: High, serial NSE values are strong predictors of poor outcome after OHCA. Targeted...

Clinical predictors of central sleep apnea evoked by positive airway pressure titration.

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Moro, Marilyn; Gannon, Karen; Lovell, Kathy; Merlino, Margaret; Mojica, James; Bianchi, Matt T

2016-01-01

Treatment-emergent central sleep apnea (TECSA), also called complex apnea, occurs in 5%-15% of sleep apnea patients during positive airway pressure (PAP) therapy, but the clinical predictors are not well understood. The goal of this study was to explore possible predictors in a clinical sleep laboratory cohort, which may highlight those at risk during clinical management. We retrospectively analyzed 728 patients who underwent PAP titration (n=422 split-night; n=306 two-night). Demographics and self-reported medical comorbidities, medications, and behaviors as well as standard physiological parameters from the polysomnography (PSG) data were analyzed. We used regression analysis to assess predictors of binary presence or absence of central apnea index (CAI) ≥5 during split-night PSG (SN-PSG) versus full-night PSG (FN-PSG) titrations. CAI ≥5 was present in 24.2% of SN-PSG and 11.4% of FN-PSG patients during titration. Male sex, maximum continuous positive airway pressure, and use of bilevel positive airway pressure were predictors of TECSA, and rapid eye movement dominance was a negative predictor, for both SN-PSG and FN-PSG patients. Self-reported narcotics were a positive predictor of TECSA, and the time spent in stage N2 sleep was a negative predictor only for SN-PSG patients. Self-reported history of stroke and the CAI during the diagnostic recording predicted TECSA only for FN-PSG patients. Clinical predictors of treatment-evoked central apnea spanned demographic, medical history, sleep physiology, and titration factors. Improved predictive models may be increasingly important as diagnostic and therapeutic modalities move away from the laboratory setting, even as PSG remains the gold standard for characterizing primary central apnea and TECSA.

Classroom Implications of Recent Research into Literacy Development: From Predictors to Assessment

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Shapiro, Laura R.; Hurry, Jane; Masterson, Jackie; Wydell, Taeko N.; Doctor, Estelle

2009-01-01

We outline how research into predictors of literacy underpins the development of increasingly accurate and informative assessments. We report three studies that emphasize the crucial role of speech and auditory skills on literacy development throughout primary and secondary school. Our first study addresses the effects of early childhood middle…

The Barthel index as predictor of handicap in stroke survivors: a ...

African Journals Online (AJOL)

Results: After adjusting for other variables, the multivariable analysis showed that handicap in stroke is significantly associated with the Barthel index (p<0.05) and atrial fibrillation (p<0.05). Conclusion: Barthel index is an important predictor of handicap following stroke. Atrial fibrillation should also be considered in the ...

Beyond Financial Need: Predictors of Student Loans and Student Loan Attitudes

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Norvilitis, Jill M.; Bat, Meghan J.

2016-01-01

Although public concern about student loan debt has been increasing, little research has examined predictors of debt beyond financial need or demographic factors. The present study explored the role of several psychological and attitudinal variables in student loan debt among 189 college students. Results indicate that loan initiative and loan…

A Systematic Review of Predictors of, and Reasons for, Adherence to Online Psychological Interventions.

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Beatty, Lisa; Binnion, Claire

2016-12-01

A key issue regarding the provision of psychological therapy in a self-guided online format is low rates of adherence. The aim of this systematic review was to assess both quantitative and qualitative data on the predictors of adherence, as well as participant reported reasons for adhering or not adhering to online psychological interventions. Database searches of PsycINFO, Medline, and CINAHL identified 1721 potentially relevant articles published between 1 January 2000 and 25 November 2015. A further 34 potentially relevant articles were retrieved from reference lists. Articles that reported predictors of, or reasons for, adherence to an online psychological intervention were included. A total of 36 studies met the inclusion criteria. Predictors assessed included demographic, psychological, characteristics of presenting problem, and intervention/computer-related predictors. Evidence suggested that female gender, higher treatment expectancy, sufficient time, and personalized intervention content each predicted higher adherence. Age, baseline symptom severity, and control group allocation had mixed findings. The majority of assessed variables however, did not predict adherence. Few clear predictors of adherence emerged overall, and most results were either mixed or too preliminary to draw conclusions. More research of predictors associated with adherence to online interventions is warranted.

Predictors of intelligence at the age of 5

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Eriksen, Hanne-Lise Falgreen; Kesmodel, Ulrik Schiøler; Underbjerg, Mette

2013-01-01

- Revised. Information on parental characteristics, pregnancy and birth factors, postnatal influences, and postnatal growth was collected during pregnancy and at follow-up. A model including study design variables and child's sex explained 7% of the variance in IQ, while parental education and maternal IQ...... are major predictors of IQ and should be included routinely in studies of cognitive development. Obstetrical and postnatal factors also predict IQ, but their contribution may be of comparatively limited magnitude....

Socio-Demographic Indicators, Intelligence, and Locus of Control as Predictors of Adult Financial Well-Being

Directory of Open Access Journals (Sweden)

Adrian Furnham

2017-04-01

Full Text Available The current study investigated a longitudinal data set of 4790 adults examining a set of socio-demographic and psychological factors that influence adult financial well-being. Parental social status (at birth, childhood intelligence and self-esteem (at age 10, locus of control (at age 16, psychological distress (age 30, educational qualifications (age 34, current occupation, weekly net income, house ownership status, and number of rooms (all measured at age 38 years were examined. Structural Equation Modelling showed that childhood intelligence, locus of control, education and occupation were all independent predictors of adult financial well-being for both men and women. Parental social status and psychological distress were also significant predictors of the outcome variable for men, but not for women. Whereas for women, in comparison to men, the effects of current occupation and childhood intelligence on the outcome variable appeared to be stronger. The strongest predictor of adult financial well-being was current occupational prestige, followed by educational achievement. The gender deferential of financial well-being indicators and its implications are discussed.

Coping Strategies as Predictors and Mediators of Disability-Related Variables and Psychosocial Adaptation: An Exploratory Investigation.

Science.gov (United States)

Livneh, Hanoch; Wilson, Lisa M.

2003-01-01

Examines the relationships among four predictors (functional limitations, perceived visibility of condition, and two disability-associated affective responses-anxiety and depression), coping strategies, and two outcome measures of psychosocial adaptation to disability. Findings suggest that coping strategies add significantly to the variance in…

THE PREDICTOR FACTORS OF EMERGENCY NURSES' PERFORMANCES TO THE PROFESSIONAL SERVICES EXCELLENCE

Directory of Open Access Journals (Sweden)

Rina Annisa

2017-10-01

Full Text Available Emergency nurses’ performances remains long standing determinates of quality services rendered for patients admitted to get emergency treatments in the hospitals. It has been viewed as a dimension of professional services excellence. The purpose of this study focused on the predictive correlation of five predictors; namely human resources management, transformational leadership, incentives, hospital structure, and job rotation on the emergency nurses’ performance. This descriptive quantitative study used total sampling technique of 100 nurses in the Emergency Department, in four Government Hospital in Banjarmasin, Bajarbaru, and Martapura. All data obtained by administering questionnaires to the participances. The analytical procedure of multiple linear regression was utilized to determine the predicting strength correlation between the dependent and the independent variables. The result of Pearson product‑moment correlation coefficients revealed that positive correlation established between emergency nurses’ performances and human resources management, transformational leadership, incentives, hospital structure, and job rotation, as the independent variables. The summary of multiple linear regression analysis of all independent variables indicated that incentives was the most strongly predictor to the emergency nurses’ performances.

Development and validation of a prediction model for long-term sickness absence based on occupational health survey variables

DEFF Research Database (Denmark)

Roelen, Corné; Thorsen, Sannie; Heymans, Martijn

2018-01-01

LTSA during follow-up. Results: The 15-predictor model was reduced to a 9-predictor model including age, gender, education, self-rated health, mental health, prior LTSA, work ability, emotional job demands, and recognition by the management. Discrimination by the 9-predictor model was significant (AUC...... population. Implications for rehabilitation Long-term sickness absence risk predictions would enable healthcare providers to refer high-risk employees to rehabilitation programs aimed at preventing or reducing work disability. A prediction model based on health survey variables discriminates between...... employees at high and low risk of long-term sickness absence, but discrimination was not practically useful. Health survey variables provide insufficient information to determine long-term sickness absence risk profiles. There is a need for new variables, based on the knowledge and experience...

Crossing safety barriers: influence of children's morphological and functional variables.

Science.gov (United States)

Cordovil, Rita; Vieira, Filomena; Barreiros, João

2012-05-01

Thirty-three children between 3 and 6 years of age were asked to climb four different types of safety barriers. Morphological and functional variables of the children, which were expected to influence climbing or passing through skills, were collected. The influence of those variables on children's success rate and time to cross was tested. No barrier offered a total restraining efficacy. The horizontal bars barrier was crossed by 97% of the children. In the group of children that succeeded in crossing the four barriers, mean time to cross the most difficult barrier was 15 s. Age was the best predictor for success in crossing most barriers but morphology and strength were important predictors of time to cross. The influence of anthropometric variables in time to cross was dependent upon the characteristics of the barrier. A good design of safety barriers should consider children's age, morphology and strength. Copyright © 2011 Elsevier Ltd and The Ergonomics Society. All rights reserved.

RS-WebPredictor

DEFF Research Database (Denmark)

Zaretzki, J.; Bergeron, C.; Huang, T.-W.

2013-01-01

Regioselectivity-WebPredictor (RS-WebPredictor) is a server that predicts isozyme-specific cytochrome P450 (CYP)-mediated sites of metabolism (SOMs) on drug-like molecules. Predictions may be made for the promiscuous 2C9, 2D6 and 3A4 CYP isozymes, as well as CYPs 1A2, 2A6, 2B6, 2C8, 2C19 and 2E1....... RS-WebPredictor is the first freely accessible server that predicts the regioselectivity of the last six isozymes. Server execution time is fast, taking on average 2s to encode a submitted molecule and 1s to apply a given model, allowing for high-throughput use in lead optimization projects.......Availability: RS-WebPredictor is accessible for free use at http://reccr.chem.rpi.edu/ Software/RS-WebPredictor....

Predictors of 30-day readmission following pancreatic surgery: A retrospective review.

Science.gov (United States)

Amodu, Leo I; Alexis, Jamil; Soleiman, Aron; Akerman, Meredith; Addison, Poppy; Iurcotta, Toni; Rilo, Horacio L Rodriguez

2018-04-22

Pancreatectomies have been identified as procedures with an increased risk of readmission. In surgical patients, readmissions within 30 days of discharge are usually procedure-related. We sought to determine predictors of 30-day readmission following pancreatic resections in a large healthcare system. We retrospectively collected information from the records of 383 patients who underwent pancreatic resections from 2004-2013. To find the predictors of readmission in the 30 days after discharge, we performed a univariate screen of possible variables using the Fisher's exact test for categorical variables and the Mann-Whitney U test for continuous variables. Multivariate analysis was used to determine the independent factors. Fifty-eight (15.1%) patients were readmitted within 30 days of discharge. Of the patients readmitted, the most common diagnoses at readmission were sepsis (17.2%), and dehydration (8.6%). Multivariate logistic regression found that the development of intra-abdominal fluid collections (OR = 5.32, P readmission within 30 days of discharge. Our data demonstrate that factors predictive of 30-day readmission are a combination of patient characteristics and the development of post-operative complications. Targeted interventions may be used to reduce the risk of readmission. Copyright © 2018. Published by Elsevier B.V.

Risk Factors and Predictors of Significant Chondral Surface Change From Primary to Revision Anterior Cruciate Ligament Reconstruction: A MOON and MARS Cohort Study.

Science.gov (United States)

Magnussen, Robert A; Borchers, James R; Pedroza, Angela D; Huston, Laura J; Haas, Amanda K; Spindler, Kurt P; Wright, Rick W; Kaeding, Christopher C; Allen, Christina R; Anderson, Allen F; Cooper, Daniel E; DeBerardino, Thomas M; Dunn, Warren R; Lantz, Brett A; Mann, Barton; Stuart, Michael J; Albright, John P; Amendola, Annunziato; Andrish, Jack T; Annunziata, Christopher C; Arciero, Robert A; Bach, Bernard R; Baker, Champ L; Bartolozzi, Arthur R; Baumgarten, Keith M; Bechler, Jeffery R; Berg, Jeffrey H; Bernas, Geoffrey A; Brockmeier, Stephen F; Brophy, Robert H; Bush-Joseph, Charles A; Butler, J Brad; Campbell, John D; Carey, James L; Carpenter, James E; Cole, Brian J; Cooper, Jonathan M; Cox, Charles L; Creighton, R Alexander; Dahm, Diane L; David, Tal S; Flanigan, David C; Frederick, Robert W; Ganley, Theodore J; Garofoli, Elizabeth A; Gatt, Charles J; Gecha, Steven R; Giffin, James Robert; Hame, Sharon L; Hannafin, Jo A; Harner, Christopher D; Harris, Norman Lindsay; Hechtman, Keith S; Hershman, Elliott B; Hoellrich, Rudolf G; Hosea, Timothy M; Johnson, David C; Johnson, Timothy S; Jones, Morgan H; Kamath, Ganesh V; Klootwyk, Thomas E; Levy, Bruce A; Ma, C Benjamin; Maiers, G Peter; Marx, Robert G; Matava, Matthew J; Mathien, Gregory M; McAllister, David R; McCarty, Eric C; McCormack, Robert G; Miller, Bruce S; Nissen, Carl W; O'Neill, Daniel F; Owens, Brett D; Parker, Richard D; Purnell, Mark L; Ramappa, Arun J; Rauh, Michael A; Rettig, Arthur C; Sekiya, Jon K; Shea, Kevin G; Sherman, Orrin H; Slauterbeck, James R; Smith, Matthew V; Spang, Jeffrey T; Svoboda, Steven J; Taft, Timothy N; Tenuta, Joachim J; Tingstad, Edwin M; Vidal, Armando F; Viskontas, Darius G; White, Richard A; Williams, James S; Wolcott, Michelle L; Wolf, Brian R; York, James J

2018-03-01

Articular cartilage health is an important issue following anterior cruciate ligament (ACL) injury and primary ACL reconstruction. Factors present at the time of primary ACL reconstruction may influence the subsequent progression of articular cartilage damage. Larger meniscus resection at primary ACL reconstruction, increased patient age, and increased body mass index (BMI) are associated with increased odds of worsened articular cartilage damage at the time of revision ACL reconstruction. Case-control study; Level of evidence, 3. Subjects who had primary and revision data in the databases of the Multicenter Orthopaedics Outcomes Network (MOON) and Multicenter ACL Revision Study (MARS) were included. Reviewed data included chondral surface status at the time of primary and revision surgery, meniscus status at the time of primary reconstruction, primary reconstruction graft type, time from primary to revision ACL surgery, as well as demographics and Marx activity score at the time of revision. Significant progression of articular cartilage damage was defined in each compartment according to progression on the modified Outerbridge scale (increase ≥1 grade) or >25% enlargement in any area of damage. Logistic regression identified predictors of significant chondral surface change in each compartment from primary to revision surgery. A total of 134 patients were included, with a median age of 19.5 years at revision surgery. Progression of articular cartilage damage was noted in 34 patients (25.4%) in the lateral compartment, 32 (23.9%) in the medial compartment, and 31 (23.1%) in the patellofemoral compartment. For the lateral compartment, patients who had >33% of the lateral meniscus excised at primary reconstruction had 16.9-times greater odds of progression of articular cartilage injury than those with an intact lateral meniscus ( P < .001). For the medial compartment, patients who had <33% of the medial meniscus excised at the time of the primary reconstruction

Level of access to social capital and its predictors among rural ...

African Journals Online (AJOL)

Level of access to social capital and its predictors among rural farming households ... The combined effects of all the variables explained 98.21% of the total variation in social capital ... This will consolidate and deepen interaction among members, and enable them build greater trust, and enjoy benefits of social networks in ...

Electricity curtailment behaviors in Greek households: Different behaviors, different predictors

International Nuclear Information System (INIS)

Botetzagias, Iosif; Malesios, Chrisovaladis; Poulou, Dimitra

2014-01-01

Highlights: • We study the self-reported energy (electricity) curtailment behaviors of Greek households (N=285). • We find that the curtailment behaviors are distinct and should be studied/analyzed separately. • ‘Age’, ‘Gender’ and ‘Perceived Behavioral Control’ are statistically significant predictors of most behaviors. • The demographic/structural and the psychological predictors contribute significantly explain the variance of the behaviors. • The cluster of moral predictors does not contribute statistically significantly to the explained variance. - Abstract: This paper argues that electricity ‘curtailment’ behaviors (i.e. frequent and/or low cost or free energy saving behaviors) in households are distinct from one another and they thus should be analyzed and promoted. We test this claim with data from telephone interviews with Greek households in the capital city of Athens (N=285), analyzing the impact of a number of demographical/structural, psychological (based on the Theory of Planned Behavior) and moral (based on norms’ activation) predictors though hierarchical binary logistic regression modeling. We find that that each electricity curtailment behavior depends on a different mix of predictors with ‘Age’, ‘Gender’ and ‘Perceived Behavioral Control’ being statistically significant for most behaviors. Overall, the psychological and the demographical/structural clusters of variables substantially contribute to the explained variance of electricity curtailment behaviors. The moral cluster's contribution is not statistically significant since moral concerns are largely interwoven in the psychological constructs

Predictors of Mental Health Resilience in Children who Have Been Parentally Bereaved by AIDS in Urban South Africa.

Science.gov (United States)

Collishaw, Stephan; Gardner, Frances; Lawrence Aber, J; Cluver, Lucie

2016-05-01

Children parentally bereaved by AIDS experience high rates of mental health problems. However, there is considerable variability in outcomes, and some show no mental health problems even when followed over time. Primary aims were to identify predictors of resilient adaptation at child, family and community levels within a group of AIDS-orphaned children, and to consider their cumulative influence. A secondary aim was to test whether predictors were of particular influence among children orphaned by AIDS relative to non-orphaned and other-orphaned children. AIDS-orphaned (n = 290), other-orphaned (n = 163) and non-orphaned (n = 202) adolescents living in informal settlements in Cape Town, South Africa were assessed on two occasions 4 years apart (mean age 13.5 years at Time 1, range = 10-19 years). Self-report mental health screens were used to operationalise resilience in AIDS-orphaned children as the absence of clinical-range symptoms of PTSD, anxiety, depression, conduct problems, and suicidality. A quarter of AIDS-orphaned children (24 %) showed no evidence of mental health problems at either wave. Child physical health, better caregiving quality, food security, better peer relationship quality, and lower exposure to community violence, bullying or stigma at baseline predicted sustained resilience. There were cumulative influences across predictors. Associations with mental health showed little variation by child age or gender, or between orphaned and non-orphaned children. Mental health resilience is associated with multiple processes across child, family and community levels of influence. Caution is needed in making causal inferences.

Stability of Parental Nurturance as a Salient Predictor of Self-Esteem.

Science.gov (United States)

Buri, John R.

In the recent past there has been a growing interest in the investigation of the self. A primary area of investigation has revolved around the question of the stability of the self-concept. This study investigated parental nurturance as a stable predictor of self-esteem across adolescent and young adult age groups. Subjects (N=784) were students…

Primary Stenting Is Not Necessary in Benign Central Venous Stenosis.

Science.gov (United States)

Rangel, Lynsey E; Lyden, Sean P; Clair, Daniel G

2018-01-01

The aim of this study is to evaluate central venous stenosis (CVS) etiologies and presentation within a vascular surgery practice. We evaluated endovascular treatment modalities and the patency rates of our interventions. Five-year retrospective review of endovascular intervention for CVS. Patient demographics, medical comorbidities, and variables were collected including etiology, indwelling device, previous upper extremity (UE) deep venous thrombosis, long-term UE indwelling device (defined as >30 days), malignancy status, hypercoagulable disorders, history of radiation or mediastinal fibrosis or masses, and anticoagulation and/or antiplatelet therapy. Follow-up variables included symptoms, imaging, and anticoagulation and/or antiplatelet utilization. Living patients without recent follow-up were contacted with a telephone survey regarding current symptoms. Patency was evaluated by imaging or clinically by recurrence of signs or symptoms through January 2016. A total of 61 patients underwent attempted endovascular CVS interventions from January 2007 to 2013. Forty-seven (83%) patients had successful interventions. There were 22 (36%) end-stage renal disease (ESRD) patients. The primary etiology in 79% of patients was benign CVS secondary to an indwelling device. Eighty-nine percent of the interventions were primary angioplasty (PTA). The overall primary patency rates at 6, 12, and 24 months were 49%, 34%, and 24%, respectively. Secondary patency rates at 6, 12, and 24 months were 97%, 93%, and 88%, respectively. There were no statistical differences in demographics or outcomes in patients treated successfully with PTA or those requiring stenting. There was no statistical difference in the patency rates between ESRD and non-ESRD patients. Previous interventions were not a predictor of loss of patency. Our study supported the rising trend of benign CVS predominantly secondary to indwelling devices. We demonstrated acceptable secondary patency with PTA alone

Primary tumor site is a useful predictor of cetuximab efficacy in the third-line or salvage treatment of KRAS wild-type (exon 2 non-mutant) metastatic colorectal cancer: a nationwide cohort study

International Nuclear Information System (INIS)

Chen, Kuo-Hsing; Shao, Yu-Yun; Chen, Ho-Min; Lin, Yu-Lin; Lin, Zhong-Zhe; Lai, Mei-Shu; Cheng, Ann-Lii; Yeh, Kun-Huei

2016-01-01

Previous studies have shown left-sided colorectal cancer (LCRC) and right-sided colorectal cancer (RCRC) exhibit different molecular and clinicopathological features. We explored the association between the primary tumor site and cetuximab efficacy in KRAS wild-type colorectal cancer (CRC). This study enrolled a cohort of patients, who had received cetuximab treatment after two or more lines of chemotherapy for KRAS wild-type (exon 2 nonmutant) metastatic CRC, from the databases of Taiwan Cancer Registry (2004–2010) and National Health Insurance (2004–2011). Survival data were obtained from the National Death Registry. Time to treatment discontinuation (TTD) and overall survival (OS) after the start of cetuximab treatment were compared between patients with LCRC (splenic flexure to rectum) and RCRC (cecum to hepatic flexure). A total of 969 CRC patients were enrolled. Among them, 765 (78.9 %) and 136 (14.0 %) patients had LCRC and RCRC, respectively. Patients with LCRC, compared to patients with RCRC, had longer TTD (median, 4.59 vs. 2.75 months, P = .0005) and OS (median, 12.62 vs. 8.07 months, P < .0001) after the start of cetuximab treatment. Multivariate analysis revealed a right-sided primary tumor site was an independent predictor of shorter TTD (adjusted hazard ratio [HR] = 1.32, using the LCRC group as a reference, 95 % confidence interval: 1.08–1.61, P = .0072) and OS (adjusted HR = 1.45, 95 % CI: 1.18–1.78, P = .0003). Our findings demonstrate that a left-sided primary tumor site is a useful predictor of improved cetuximab efficacy in the third-line or salvage treatment of KRAS wild-type (exon 2 nonmutant) metastatic CRC

Distribution, variability, and predictors of urinary bisphenol A levels in 50 North Carolina adults over a six-week monitoring period.

Science.gov (United States)

Morgan, Marsha K; Nash, Maliha; Barr, Dana Boyd; Starr, James M; Scott Clifton, M; Sobus, Jon R

2018-03-01

Bisphenol A (BPA) is commonly manufactured to make polycarbonate plastics and epoxy resins for use in consumer products and packaged goods. BPA has been found in several different types of environmental media (e.g., food, dust, and air). Many cross-sectional studies have frequently detected BPA concentrations in adult urine samples. However, limited data are available on the temporal variability and important predictors of urinary BPA concentrations in adults. In this work, the major objectives were to: 1) quantify BPA levels in duplicate-diet solid food, drinking water, hard floor surface wipe, and urine samples (first-morning void [FMV], bedtime, and 24-h) collected from adults over a six-week monitoring period; 2) determine the temporal variability of urinary BPA levels using concentration, specific gravity (SG) adjusted, creatinine (CR) adjusted, and excretion rate values, and; 3) examine associations between available study factors and urinary BPA concentrations. In 2009-2011, a convenience sample of 50 adults was recruited from residential settings in North Carolina. The participants completed diaries and collected samples during weeks 1, 2, and/or 6 of a six-week monitoring period. BPA was detected in 38%, 4%, and 99% of the solid food (n=775), drinking water (n=50), and surface wipe samples (n=138), respectively. Total BPA (free plus conjugated) was detected in 98% of the 2477 urine samples. Median urinary BPA levels were 2.07ng/mL, 2.20ng/mL-SG, 2.29ng/mg, and 2.31ng/min for concentration, SG-adjusted, CR-adjusted, and excretion rate values, respectively. The intraclass correlation coefficient (ICC) estimates for BPA showed poor reproducibility (≤0.35) for all urine sample types and methods over a day, week, and six weeks. CR-adjusted bedtime voids collected over six-weeks required the fewest, realistic number of samples (n=11) to obtain a reliable biomarker estimate (ICC=0.80). Results of linear mixed-effects models showed that sex, race, season, and CR

[Cost analysis of radiotherapy provided in inpatient setting -  testing potential predictors for a new prospective payment system].

Science.gov (United States)

Sedo, J; Bláha, M; Pavlík, T; Klika, P; Dušek, L; Büchler, T; Abrahámová, J; Srámek, V; Slampa, P; Komínek, L; Pospíšil, P; Sláma, O; Vyzula, R

2014-01-01

As a part of the development of a new prospective payment model for radiotherapy we analyzed data on costs of care provided by three comprehensive cancer centers in the Czech Republic. Our aim was to find a combination of variables (predictors) which could be used to sort hospitalization cases into groups according to their costs, with each group having the same reimbursement rate. We tested four variables as possible predictors -  number of fractions, stage of disease, radiotherapy technique and diagnostic group. We analyzed 7,440 hospitalization cases treated in three comprehensive cancer centers from 2007 to 2011. We acquired data from the I COP database developed by Institute of Biostatistics and Analyses of Masaryk University in cooperation with oncology centers that contains records from the National Oncological Registry along with data supplied by healthcare providers to insurance companies for the purpose of retrospective reimbursement. When comparing the four variables mentioned above we found that number of fractions and radiotherapy technique were much stronger predictors than the other two variables. Stage of disease did not prove to be a relevant indicator of cost distinction. There were significant differences in costs among diagnostic groups but these were mostly driven by the technique of radiotherapy and the number of fractions. Within the diagnostic groups, the distribution of costs was too heterogeneous for the purpose of the new payment model. The combination of number of fractions and radiotherapy technique appears to be the most appropriate cost predictors to be involved in the prospective payment model proposal. Further analysis is planned to test the predictive value of intention of radiotherapy in order to determine differences in costs between palliative and curative treatment.

Native language predictors of foreign language proficiency and foreign language aptitude.

Science.gov (United States)

Sparks, Richard L; Patton, Jon; Ganschow, Leonore; Humbach, Nancy; Javorsky, James

2006-06-01

Fifty-four students were tested at specific time intervals over 10 years to determine best native language (NL) predictors of oral and written foreign language (FL) proficiency and FL aptitude. All participants completed two years of Spanish, French, or German. Each was administered measures of NL literacy, oral language, and cognitive ability in elementary school. A measure of FL aptitude was administered at the beginning of ninth grade and FL proficiency was evaluated at the end of the 10th grade. Among the variables, NL literacy measures were the best predictors of FL proficiency, and NL achievement and general (verbal) intelligence were strong predictors of FL aptitude. Results suggest that indices of NL literacy as early as first grade are related to FL proficiency and FL aptitude nine and 10 years later. Findings provide strong support for connections between L1 and L2 skills, and for speculation that "lower level" skills in phonological processing are important for written language development and oral proficiency in a FL.

Client Predictors of Short-term Psychotherapy Outcomes among Asian and White American Outpatients

Science.gov (United States)

Kim, Jin E.; Zane, Nolan W.; Blozis, Shelley A.

2015-01-01

Purpose To examine predictors of psychotherapy outcomes, focusing on client characteristics that are especially salient for culturally diverse clients. Method Sixty clients (31 women; 27 White Americans, 33 Asian Americans) participated in this treatment study. Client characteristics were measured at pre-treatment, and outcomes were measured post-fourth session via therapist ratings of functioning and symptomatology. Regression analyses were utilized to test for predictors of outcomes, and bootstrap analyses were utilized to test for mediators. Results Higher levels of somatic symptoms predicted lower psychosocial functioning at post-treatment. Avoidant coping style predicted more negative symptoms and more psychological discomfort. Non-English language preference predicted worse outcomes; this effect was mediated by an avoidant coping style. Conclusions Language preference, avoidant coping style, and somatic symptoms predicted treatment outcome in a culturally diverse sample. Findings suggest that race/ethnicity-related variables may function through mediating proximal variables to affect outcomes. PMID:22836681

Predictors in Internet-delivered cognitive behavior therapy and behavioral stress management for severe health anxiety.

Science.gov (United States)

Hedman, Erik; Andersson, Erik; Lekander, Mats; Ljótsson, Brjánn

2015-01-01

Severe health anxiety can be effectively treated with exposure-based Internet-delivered cognitive behavior therapy (ICBT), but information about which factors that predict outcome is scarce. Using data from a recently conducted RCT comparing ICBT (n = 79) with Internet-delivered behavioral stress management (IBSM) (n = 79) the presented study investigated predictors of treatment outcome. Analyses were conducted using a two-step linear regression approach and the dependent variable was operationalized both as end state health anxiety at post-treatment and as baseline-to post-treatment improvement. A hypothesis driven approach was used where predictors expected to influence outcome were based on a previous predictor study by our research group. As hypothesized, the results showed that baseline health anxiety and treatment adherence predicted both end state health anxiety and improvement. In addition, anxiety sensitivity, treatment credibility, and working alliance were significant predictors of health anxiety improvement. Demographic variables, i.e. age, gender, marital status, computer skills, educational level, and having children, had no significant predictive value. We conclude that it is possible to predict a substantial proportion of the outcome variance in ICBT and IBSM for severe health anxiety. The findings of the present study can be of high clinical value as they provide information about factors of importance for outcome in the treatment of severe health anxiety. Copyright © 2014 Elsevier Ltd. All rights reserved.

Predictors of Healthcare Service Utilization for Mental Health Reasons

Directory of Open Access Journals (Sweden)

Marie-Josée Fleury

2014-10-01

Full Text Available This study was designed to identify: (1 predictors of 12-month healthcare service utilization for mental health reasons, framed by the Andersen model, among a population cohort in an epidemiological catchment area; and (2 correlates associated with healthcare service utilization for mental health reasons among individuals with and without mental disorders respectively. Analyses comprised univariate, bivariate, and multiple regression analyses. Being male, having poor quality of life, possessing better self-perception of physical health, and suffering from major depressive episodes, panic disorder, social phobia, and emotional problems predicted healthcare service utilization for mental health reasons. Among individuals with mental disorders, needs factors (psychological distress, impulsiveness, emotional problems, victim of violence, and aggressive behavior and visits to healthcare professionals were associated with healthcare service utilization for mental health reasons. Among individuals without mental disorders, healthcare service utilization for mental health reasons is strongly associated with enabling factors such as social support, income, environmental variables, and self-perception of the neighborhood. Interventions facilitating social cohesion and social solidarity in neighborhood settings may reduce the need to seek help among individuals without mental disorders. Furthermore, in their capacity as frontline professionals, general practitioners should be more sensitive in preventing, detecting, and treating mental disorders in routine primary care.

Guided parent-delivered cognitive behavioral therapy for childhood anxiety: Predictors of treatment response.

Science.gov (United States)

Thirlwall, Kerstin; Cooper, Peter; Creswell, Cathy

2017-01-01

Guided Parent-delivered Cognitive Behaviour Therapy (GPD-CBT) is a brief, effective treatment for childhood anxiety disorders, however not all children respond favourably. To examine predictors of response to GPD-CBT. Parents of 125 children (7-12 years) with an anxiety disorder received GPD-CBT over 2.6 or 5.3h. Recovery was measured post treatment and six months later. Younger children and those with primary Generalised Anxiety Disorder (GAD) improved more post treatment, but older children and those without primary GAD had better outcomes at six month follow up. Fewer children allocated to 2.6h had recovered post treatment compared to those allocated to the 5.2h intervention, but did not differ significantly six months later. The identification of predictors of short and longer-term treatment outcomes can guide treatment decisions following this low-intensity approach. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Posttreatment attrition and its predictors, attrition bias, and treatment efficacy of the anxiety online programs.

Science.gov (United States)

Al-Asadi, Ali M; Klein, Britt; Meyer, Denny

2014-10-14

Although relatively new, the field of e-mental health is becoming more popular with more attention given to researching its various aspects. However, there are many areas that still need further research, especially identifying attrition predictors at various phases of assessment and treatment delivery. The present study identified the predictors of posttreatment assessment completers based on 24 pre- and posttreatment demographic and personal variables and 1 treatment variable, their impact on attrition bias, and the efficacy of the 5 fully automated self-help anxiety treatment programs for generalized anxiety disorder (GAD), social anxiety disorder (SAD), panic disorder with or without agoraphobia (PD/A), obsessive-compulsive disorder (OCD), and posttraumatic stress disorder (PTSD). A complex algorithm was used to diagnose participants' mental disorders based on the criteria of the Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition, Text Revision; DSM-IV-TR). Those who received a primary or secondary diagnosis of 1 of 5 anxiety disorders were offered an online 12-week disorder-specific treatment program. A total of 3199 individuals did not formally drop out of the 12-week treatment cycle, whereas 142 individuals formally dropped out. However, only 347 participants who completed their treatment cycle also completed the posttreatment assessment measures. Based on these measures, predictors of attrition were identified and attrition bias was examined. The efficacy of the 5 treatment programs was assessed based on anxiety-specific severity scores and 5 additional treatment outcome measures. On average, completers of posttreatment assessment measures were more likely to be seeking self-help online programs; have heard about the program from traditional media or from family and friends; were receiving mental health assistance; were more likely to learn best by reading, hearing and doing; had a lower pretreatment Kessler-6 total score; and were older

Automated computer-based CT stratification as a predictor of outcome in hypersensitivity pneumonitis

International Nuclear Information System (INIS)

Jacob, Joseph; Mak, S.M.; Mok, W.; Hansell, D.M.; Bartholmai, B.J.; Rajagopalan, S.; Karwoski, R.; Della Casa, G.; Sugino, K.; Walsh, S.L.F.; Wells, A.U.

2017-01-01

Hypersensitivity pneumonitis (HP) has a variable clinical course. Modelling of quantitative CALIPER-derived CT data can identify distinct disease phenotypes. Mortality prediction using CALIPER analysis was compared to the interstitial lung disease gender, age, physiology (ILD-GAP) outcome model. CALIPER CT analysis of parenchymal patterns in 98 consecutive HP patients was compared to visual CT scoring by two radiologists. Functional indices including forced vital capacity (FVC) and diffusion capacity for carbon monoxide (DLco) in univariate and multivariate Cox mortality models. Automated stratification of CALIPER scores was evaluated against outcome models. Univariate predictors of mortality included visual and CALIPER CT fibrotic patterns, and all functional indices. Multivariate analyses identified only two independent predictors of mortality: CALIPER reticular pattern (p = 0.001) and DLco (p < 0.0001). Automated stratification distinguished three distinct HP groups (log-rank test p < 0.0001). Substitution of automated stratified groups for FVC and DLco in the ILD-GAP model demonstrated no loss of model strength (C-Index = 0.73 for both models). Model strength improved when automated stratified groups were combined with the ILD-GAP model (C-Index = 0.77). CALIPER-derived variables are the strongest CT predictors of mortality in HP. Automated CT stratification is equivalent to functional indices in the ILD-GAP model for predicting outcome in HP. (orig.)

Automated computer-based CT stratification as a predictor of outcome in hypersensitivity pneumonitis

Energy Technology Data Exchange (ETDEWEB)

Jacob, Joseph; Mak, S.M.; Mok, W.; Hansell, D.M. [Royal Brompton and Harefield NHS Foundation Trust, Department of Radiology, Royal Brompton Hospital, London (United Kingdom); Bartholmai, B.J. [Mayo Clinic Rochester, Division of Radiology, Rochester, MN (United States); Rajagopalan, S.; Karwoski, R. [Mayo Clinic Rochester, Biomedical Imaging Resource, Rochester, MN (United States); Della Casa, G. [Universita degli Studi di Modena e Reggio Emilia, Modena, Emilia-Romagna (Italy); Sugino, K. [Toho University Omori Medical Centre, Tokyo (Japan); Walsh, S.L.F. [Kings College Hospital, London (United Kingdom); Wells, A.U. [Royal Brompton and Harefield NHS Foundation Trust, Interstitial Lung Disease Unit, Royal Brompton Hospital, London (United Kingdom)

2017-09-15

Hypersensitivity pneumonitis (HP) has a variable clinical course. Modelling of quantitative CALIPER-derived CT data can identify distinct disease phenotypes. Mortality prediction using CALIPER analysis was compared to the interstitial lung disease gender, age, physiology (ILD-GAP) outcome model. CALIPER CT analysis of parenchymal patterns in 98 consecutive HP patients was compared to visual CT scoring by two radiologists. Functional indices including forced vital capacity (FVC) and diffusion capacity for carbon monoxide (DLco) in univariate and multivariate Cox mortality models. Automated stratification of CALIPER scores was evaluated against outcome models. Univariate predictors of mortality included visual and CALIPER CT fibrotic patterns, and all functional indices. Multivariate analyses identified only two independent predictors of mortality: CALIPER reticular pattern (p = 0.001) and DLco (p < 0.0001). Automated stratification distinguished three distinct HP groups (log-rank test p < 0.0001). Substitution of automated stratified groups for FVC and DLco in the ILD-GAP model demonstrated no loss of model strength (C-Index = 0.73 for both models). Model strength improved when automated stratified groups were combined with the ILD-GAP model (C-Index = 0.77). CALIPER-derived variables are the strongest CT predictors of mortality in HP. Automated CT stratification is equivalent to functional indices in the ILD-GAP model for predicting outcome in HP. (orig.)

Measurement error and timing of predictor values for multivariable risk prediction models are poorly reported.

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Whittle, Rebecca; Peat, George; Belcher, John; Collins, Gary S; Riley, Richard D

2018-05-18

Measurement error in predictor variables may threaten the validity of clinical prediction models. We sought to evaluate the possible extent of the problem. A secondary objective was to examine whether predictors are measured at the intended moment of model use. A systematic search of Medline was used to identify a sample of articles reporting the development of a clinical prediction model published in 2015. After screening according to a predefined inclusion criteria, information on predictors, strategies to control for measurement error and intended moment of model use were extracted. Susceptibility to measurement error for each predictor was classified into low and high risk. Thirty-three studies were reviewed, including 151 different predictors in the final prediction models. Fifty-one (33.7%) predictors were categorised as high risk of error, however this was not accounted for in the model development. Only 8 (24.2%) studies explicitly stated the intended moment of model use and when the predictors were measured. Reporting of measurement error and intended moment of model use is poor in prediction model studies. There is a need to identify circumstances where ignoring measurement error in prediction models is consequential and whether accounting for the error will improve the predictions. Copyright © 2018. Published by Elsevier Inc.

Body image flexibility: A predictor and moderator of outcome in transdiagnostic outpatient eating disorder treatment.

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Pellizzer, Mia L; Waller, Glenn; Wade, Tracey D

2018-04-01

Predictors of attrition and predictors and moderators of outcome were explored in a transdiagnostic sample of patients who received ten-session cognitive behavioral therapy (CBT-T) for nonunderweight eating disorders. Body image flexibility, a protective positive body image construct, was hypothesized to be a significant moderator. Data from two case series were combined to form a sample of 78 participants who received CBT-T. Baseline measures of body image, negative affect, personality, and motivation (readiness to change and self-efficacy) were included as potential predictors. Global eating disorder psychopathology at each assessment point (baseline, mid- and post-treatment, 1- and 3-month follow-up) was the outcome variable. Predictors of attrition were assessed using logistic regression, and multilevel modeling was applied for predictors and moderators of outcome. Body image flexibility emerged as the strongest predictor and moderator of global eating disorder psychopathology, followed by body image avoidance. Body checking, negative affect, personality beliefs, and self-efficacy were significant predictors of global eating disorder psychopathology. Higher body image flexibility predicted lower global eating disorder psychopathology at every assessment point. Further research is required to replicate findings and explore the benefit of focusing on positive body image in treatment. © 2018 Wiley Periodicals, Inc.

Downscaling reanalysis data to high-resolution variables above a glacier surface (Cordillera Blanca, Peru)

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Hofer, Marlis; Mölg, Thomas; Marzeion, Ben; Kaser, Georg

2010-05-01

Recently initiated observation networks in the Cordillera Blanca provide temporally high-resolution, yet short-term atmospheric data. The aim of this study is to extend the existing time series into the past. We present an empirical-statistical downscaling (ESD) model that links 6-hourly NCEP/NCAR reanalysis data to the local target variables, measured at the tropical glacier Artesonraju (Northern Cordillera Blanca). The approach is particular in the context of ESD for two reasons. First, the observational time series for model calibration are short (only about two years). Second, unlike most ESD studies in climate research, we focus on variables at a high temporal resolution (i.e., six-hourly values). Our target variables are two important drivers in the surface energy balance of tropical glaciers; air temperature and specific humidity. The selection of predictor fields from the reanalysis data is based on regression analyses and climatologic considerations. The ESD modelling procedure includes combined empirical orthogonal function and multiple regression analyses. Principal component screening is based on cross-validation using the Akaike Information Criterion as model selection criterion. Double cross-validation is applied for model evaluation. Potential autocorrelation in the time series is considered by defining the block length in the resampling procedure. Apart from the selection of predictor fields, the modelling procedure is automated and does not include subjective choices. We assess the ESD model sensitivity to the predictor choice by using both single- and mixed-field predictors of the variables air temperature (1000 hPa), specific humidity (1000 hPa), and zonal wind speed (500 hPa). The chosen downscaling domain ranges from 80 to 50 degrees west and from 0 to 20 degrees south. Statistical transfer functions are derived individually for different months and times of day (month/hour-models). The forecast skill of the month/hour-models largely depends on

Growth hormone responsiveness: peak stimulated growth hormone levels and other variables in idiopathic short stature (ISS): data from the National Cooperative Growth Study.

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Moore, Wayne V; Dana, Ken; Frane, James; Lippe, Barbara

2008-09-01

In children with idiopathic short stature (ISS), growth hormone (GH) response to a provocative test will be inversely related to the first year response to hGH and be a variable accounting for a degree of responsiveness. Because high levels of GH are a characteristic of GH insensitivity, such as in Laron syndrome, it is possible that a high stimulated GH is associated with a lower first year height velocity among children diagnosed as having ISS. We examined the relationship between the peak stimulated GH levels in 3 ISS groups; GH >10 -40 ng/mL and the first year growth response to rhGH therapy. We also looked at 8 other predictor variables (age, sex, height SDS, height age, body mass index (BMI), bone age, dose, and SDS deficit from target parental height. Multiple regression analysis with the first year height as the dependent variable and peak stimulated GH was the primary endpoint. The predictive value of adding each of the other variables was then assessed. Mean change in height velocity was similar among the three groups, with a maximum difference among the groups of 0.6 cm/yr. There was a small but statistically significant correlation (r=-0.12) between the stimulated GH and first year height velocity. The small correlation between first year growth response and peak GH is not clinically relevant in defining GH resistance. No cut off level by peak GH could be determined to enhance the usefulness of this measure to predict response. Baseline age was the only clinically significant predictor, R-squared, 6.4%. All other variables contributed less than an additional 2% to the R-squared.

Preoperative predictors of returning to work following primary total knee arthroplasty.

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Styron, Joseph F; Barsoum, Wael K; Smyth, Kathleen A; Singer, Mendel E

2011-01-05

There is little in the literature to guide clinicians in advising patients regarding their return to work following a primary total knee arthroplasty. In this study, we aimed to identify which factors are important in estimating a patient's time to return to work following primary total knee arthroplasty, how long patients can anticipate being off from work, and the types of jobs to which patients are able to return following primary total knee arthroplasty. A prospective cohort study was performed in which patients scheduled for a primary total knee arthroplasty completed a validated questionnaire preoperatively and at four to six weeks, three months, and six months postoperatively. The questionnaire assessed the patient's occupational physical demands, ability to perform job responsibilities, physical status, and motivation to return to work as well as factors that may impact his or her recovery and other workplace characteristics. Two survival analysis models were constructed to evaluate the time to return to work either at least part-time or full-time. Acceleration factors were calculated to indicate the relative percentage of time until the patient returned to work. The median time to return to work was 8.9 weeks. Patients who reported a sense of urgency about returning to work were found to return in half the time taken by other employees (acceleration factor = 0.468; p mental health scores (acceleration factor = 0.891), higher physical function scores (acceleration factor = 0.809), higher Functional Comorbidity Index scores (acceleration factor = 0.914), and a handicap accessible workplace (acceleration factor = 0.736). A slower return to work was associated with having less pain preoperatively (acceleration factor = 1.132), having a more physically demanding job (acceleration factor = 1.116), and receiving Workers' Compensation (acceleration factor = 4.360). Although the physical demands of a patient's job have a moderate influence on the patient's ability

El estrato socioeconómico como factor predictor del uso constante de condón en adolescentes Socioeconomic strata as a predictor factor for consistent condom use among adolescents

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Ramiro Caballero Hoyos

2001-12-01

Full Text Available OBJETIVO: El estrato socioeconómico juega un rol importante en las desigualdades en salud. En México, la prevalencia más alta de casos de SIDA se encuentra en población de estratos más bajos. El propósito de lo estudio fue describir el estrato socioeconómico (ajustado por variables psicosociales, situacionales y demográficas como un factor predictor del uso consistente del condón, en adolescentes. MÉTODOS: Se incluyó en el estudio una muestra de una encuesta previa aplicada a 1.410 adolescentes de 15 a 19 años y estratificada por edad, género y estrato socioeconómico de Guadalajara, México. El análisis fue aplicado sobre los 251 adolescentes que reportaron actividad sexual. El análisis estadístico se realizó mediante Ji Cuadrada, t-test, ANOVA y regresión logística. RESULTADOS: La frecuencia de uso consistente de condón fue 30,7% y hubo una prevalencia de uso irregular. El estrato socioeconómico alto fue el principal predictor (OR= 11,1, CI95%= 2,6-47,6. Otros predictores significativos fueron el género masculino, el soporte de los pares y el nivel alto de conocimientos sobre VIH/SIDA. CONCLUSIÓN: El estrato socioeconómico es un importante factor predictor del uso consistente del condón.INTRODUCTION: Socioeconomic level plays an important role in health inequalities. In Mexico, the highest prevalence of AIDS cases is among individuals of lower socioeconomic level. The purpose of the study was to describe the socioeconomic level (adjusted for psychosocial, situational and demographic variables as a predictor factor for the consistent condom use among adolescents of Guadalajara, Mexico. METHODS: A sample of 1,410 adolescents, aged 15 to 19 years, drawn from a previous survey stratified by age, gender and socioeconomic strata was included in the study. Analysis was performed in 251 adolescents who reported sexual activity. Statistical analysis was performed using Chi-square, t-test, ANOVA, and logistic regression. RESULTS

Predictors of Smoking Reduction and Cessation in a Cohort of Danish Moderate and Heavy Smokers

DEFF Research Database (Denmark)

Godtfredsen, Nina; Prescott, E.; Osler, Merete

2001-01-01

daily tobacco consumption of 10 g or more. Using multivariate logistic regression, subjects who reported reduced smoking or who reported smoking cessation were compared with subjects who continued the habit unchanged. RESULTS: After 5 years 13% of the men and 9% of the women had reduced their tobacco...... function and a tobacco consumption of 15-24 g/day. Additional determinants of smoking reduction and cessation such as inhalation habits and sociodemographic variables differed by gender. CONCLUSIONS: Several predictors of smoking reduction and cessation were identified, indicating that these subgroups......BACKGROUND: The aim of this study was to examine the extent and gender distribution of unassisted tobacco reduction and cessation in a cohort of moderate and heavy smokers and to identify possible predictor variables associated with these changes in smoking behavior. METHODS: This was a prospective...

What Good Predictors of Marijuana Use Are Good For: A Synthesis of Research.

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Derzon, James H.; Lipsey, Mark W.

1999-01-01

Analyzes correlates of marijuana use based on 3,690 effect sizes coded from 86 prospective longitudinal studies. Summarizes findings on strength of relationships for categorizing predictor variables, and implications of these relationships. Findings are relevant for intervention programmers and policymakers since they identify characteristics of…

Dissolved organic carbon and its potential predictors in eutrophic lakes.

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Toming, Kaire; Kutser, Tiit; Tuvikene, Lea; Viik, Malle; Nõges, Tiina

2016-10-01

Understanding of the true role of lakes in the global carbon cycle requires reliable estimates of dissolved organic carbon (DOC) and there is a strong need to develop remote sensing methods for mapping lake carbon content at larger regional and global scales. Part of DOC is optically inactive. Therefore, lake DOC content cannot be mapped directly. The objectives of the current study were to estimate the relationships of DOC and other water and environmental variables in order to find the best proxy for remote sensing mapping of lake DOC. The Boosted Regression Trees approach was used to clarify in which relative proportions different water and environmental variables determine DOC. In a studied large and shallow eutrophic lake the concentrations of DOC and coloured dissolved organic matter (CDOM) were rather high while the seasonal and interannual variability of DOC concentrations was small. The relationships between DOC and other water and environmental variables varied seasonally and interannually and it was challenging to find proxies for describing seasonal cycle of DOC. Chlorophyll a (Chl a), total suspended matter and Secchi depth were correlated with DOC and therefore are possible proxies for remote sensing of seasonal changes of DOC in ice free period, while for long term interannual changes transparency-related variables are relevant as DOC proxies. CDOM did not appear to be a good predictor of the seasonality of DOC concentration in Lake Võrtsjärv since the CDOM-DOC coupling varied seasonally. However, combining the data from Võrtsjärv with the published data from six other eutrophic lakes in the world showed that CDOM was the most powerful predictor of DOC and can be used in remote sensing of DOC concentrations in eutrophic lakes. Copyright © 2016 Elsevier Ltd. All rights reserved.

Do Assault-Related Variables Predict Response to Cognitive Behavioral Treatment for PTSD?

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Hembree, Elizabeth A.; Street, Gordon P.; Riggs, David S.; Foa, Edna B.

2004-01-01

This study examined the hypothesis that variables such as history of prior trauma, assault severity, and type of assault, previously found to be associated with natural recovery, would also predict treatment outcome. Trauma-related variables were examined as predictors of posttreatment posttraumatic stress disorder (PTSD) severity in a sample of…

Empirical downscaling of atmospheric key variables above a tropical glacier surface (Cordillera Blanca, Peru)

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Hofer, M.; Kaser, G.; Mölg, T.; Juen, I.; Wagnon, P.

2009-04-01

Glaciers in the outer tropical Cordillera Blanca (Peru, South America) are of major socio-economic importance, since glacier runoff represents the primary water source during the dry season, when little or no rainfall occurs. Due to their location at high elevations, the glaciers moreover provide important information about climate change in the tropical troposphere, where measurements are sparse. This study targets the local reconstruction of air temperature, specific humidity and wind speed above the surface of an outer tropical glacier from NCEP/NCAR reanalysis data as large scale predictors. Since a farther scope is to provide input data for process based glacier mass balance modelling, the reconstruction pursues a high temporal resolution. Hence an empirical downscaling scheme is developed, based on a few years' time series of hourly observations from automatic weather stations, located at the glacier Artesonraju and nearby moraines (Northern Cordillera Blanca). Principal component and multiple regression analyses are applied to define the appropriate spatial downscaling domain, suitable predictor variables, and the statistical transfer functions. The model performance is verified using an independent data set. The best predictors are lower tropospheric air temperature and specific humidity, at reanalysis model grid points that represent the Bolivian Altiplano, located in the South of the Cordillera Blanca. The developed downscaling model explaines a considerable portion (more than 60%) of the diurnal variance of air temperature and specific humidity at the moraine stations, and air temperature above the glacier surface. Specific humidity above the glacier surface, however, can be reconstructed well in the seasonal, but not in the required diurnal time resolution. Wind speed can only be poorly determined by the large scale predictors (r² lower than 0.3) at both sites. We assume a complex local interaction between valley and glacier wind system to be the main

Depression Treatment Preferences in Older Primary Care Patients

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Gum, Amber M.; Arean, Patricia A.; Hunkeler, Enid; Tang, Lingqi; Katon, Wayne; Hitchcock, Polly; Steffens, David C.; Dickens, Jeanne; Unutzer, Jurgen

2006-01-01

Purpose: For depressed older primary care patients, this study aimed to examine (a) characteristics associated with depression treatment preferences; (b) predictors of receiving preferred treatment; and (c) whether receiving preferred treatment predicted satisfaction and depression outcomes. Design and Methods: Data are from 1,602 depressed older…

Neurocognitive functioning as an intermediary variable between psychopathology and insight in schizophrenia.

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Hwang, Samuel Suk-Hyun; Ahn, Yong Min; Kim, Yong Sik

2015-12-30

Based on the neuropsychological deficit model of insight in schizophrenia, we constructed exploratory prediction models for insight, designating neurocognitive measures as the intermediary variables between psychopathology and insight into patients with schizophrenia. The models included the positive, negative, and autistic preoccupation symptoms as primary predictors, and activation symptoms as an intermediary variable for insight. Fifty-six Korean patients, in the acute stage of schizophrenia, completed the Positive and Negative Syndrome Scale, as well as a comprehensive neurocognitive battery of tests at the baseline, 8-weeks, and 1-year follow-ups. Among the neurocognitive measures, the Korean Wechsler Adult Intelligence Scale (K-WAIS) picture arrangement, Controlled Oral Word Association Test (COWAT) perseverative response, and the Continuous Performance Test (CPT) standard error of reaction time showed significant correlations with the symptoms and the insight. When these measures were fitted into the model as intermediaries between the symptoms and the insight, only the perseverative response was found to have a partial mediating effect - both cross-sectionally, and in the 8-week longitudinal change. Overall, the relationship between insight and neurocognitive functioning measures was found to be selective and weak. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Multivariable and Bayesian Network Analysis of Outcome Predictors in Acute Aneurysmal Subarachnoid Hemorrhage: Review of a Pure Surgical Series in the Post-International Subarachnoid Aneurysm Trial Era.

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Zador, Zsolt; Huang, Wendy; Sperrin, Matthew; Lawton, Michael T

2018-06-01

Following the International Subarachnoid Aneurysm Trial (ISAT), evolving treatment modalities for acute aneurysmal subarachnoid hemorrhage (aSAH) has changed the case mix of patients undergoing urgent surgical clipping. To update our knowledge on outcome predictors by analyzing admission parameters in a pure surgical series using variable importance ranking and machine learning. We reviewed a single surgeon's case series of 226 patients suffering from aSAH treated with urgent surgical clipping. Predictions were made using logistic regression models, and predictive performance was assessed using areas under the receiver operating curve (AUC). We established variable importance ranking using partial Nagelkerke R2 scores. Probabilistic associations between variables were depicted using Bayesian networks, a method of machine learning. Importance ranking showed that World Federation of Neurosurgical Societies (WFNS) grade and age were the most influential outcome prognosticators. Inclusion of only these 2 predictors was sufficient to maintain model performance compared to when all variables were considered (AUC = 0.8222, 95% confidence interval (CI): 0.7646-0.88 vs 0.8218, 95% CI: 0.7616-0.8821, respectively, DeLong's P = .992). Bayesian networks showed that age and WFNS grade were associated with several variables such as laboratory results and cardiorespiratory parameters. Our study is the first to report early outcomes and formal predictor importance ranking following aSAH in a post-ISAT surgical case series. Models showed good predictive power with fewer relevant predictors than in similar size series. Bayesian networks proved to be a powerful tool in visualizing the widespread association of the 2 key predictors with admission variables, explaining their importance and demonstrating the potential for hypothesis generation.

NUTRITION-RELATED PREDICTORS OF SLEEP DURATION IN HEMODIALYSIS PATIENTS

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Jerrilynn Burrowes

2012-06-01

At baseline, mean SD was 7.8±2.4 hrs; 33%, 43% and 24% of subjects were in the short, medium and long sleep groups, respectively. In univariate analysis, dietary protein intake, serum albumin, appetite, and QOL measures (mental component score [MCS] and physical component score [PCS] were significant predictors of SD. In multivariate analysis, age (P=0.008, race (White vs. Black (P=0.001, appetite on dialysis days (DD (P=0.0001, MCS and PCS (P<0.0001, respectively were also significant predictors of SD. Younger patients and those with good appetite on DD were more likely to sleep less, whereas Blacks and those with higher MCS and PCS were more likely to sleep more. Of the nutrition variables, higher protein intake and better appetite were associated with long vs. short SD in univariate analysis. In multivariate analysis, appetite on DD was the only variable predictive of SD. The odds ratio (95% CI of having a good appetite for those in the short SD group compared to the medium and long SD groups was 0.81 (0.72, 0.92 and 0.86 (0.78, 0.95, respectively. Further research on SD and appetite and the potential effects of short sleep on inflammation needs to be done in MHD patients.

Effects of Treating Primary Aldosteronism on Renal Function.

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Kramers, Bart J; Kramers, Cornelis; Lenders, Jacques W M; Deinum, Jaap

2017-03-01

Longstanding primary aldosteronism (PA) has deleterious effects on renal function, often masked until treatment (adrenalectomy or spironolactone) is initiated. It has been suggested that PA causes relative glomerular hyperfiltration, explaining the decline in estimated glomerular filtration rate (eGFR) after treatment. In this retrospective study, the authors retrieved the clinical characteristics and eGFR of 134 PA patients before and 6 months after treatment. Using multiple regression analysis, the predictors for eGFR decline and the predictors of ultimately attained renal function in 113 patients was assessed. eGFR declined by 15.3±14.2 (range 19-63) mL/min, independent predictors were pretreatment plasma aldosterone, eGFR, plasma renin, and plasma potassium. Independent predictors of ultimately attained eGFR after treatment were pretreatment plasma aldosterone, age, eGFR, and plasma potassium. Our findings lend support to the hypothesis that higher aldosterone levels cause relative glomerular hyperfiltration. The severity of pretreatment aldosterone excess is the most important risk factor for renal function decline. ©2016 Wiley Periodicals, Inc.

Gender differences in the variables of exercise treadmill test in type ...

African Journals Online (AJOL)

Background: Exercise capacity, like some other variables of exercise stress test, is a strong predictor of cardiovascular and overall ..... plan, and guide cardiac rehabilitation. .... peripheral vascular disease, peripheral neuropathy, physical ...

Multinomial logistic regression modelling of obesity and overweight among primary school students in a rural area of Negeri Sembilan

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Ghazali, Amirul Syafiq Mohd; Ali, Zalila; Noor, Norlida Mohd; Baharum, Adam [Pusat Pengajian Sains Matematik, Universiti Sains Malaysia, 11800 USM, Pulau Pinang, Malaysia amirul@unisel.edu.my, zalila@cs.usm.my, norlida@usm.my, adam@usm.my (Malaysia)

2015-10-22

Multinomial logistic regression is widely used to model the outcomes of a polytomous response variable, a categorical dependent variable with more than two categories. The model assumes that the conditional mean of the dependent categorical variables is the logistic function of an affine combination of predictor variables. Its procedure gives a number of logistic regression models that make specific comparisons of the response categories. When there are q categories of the response variable, the model consists of q-1 logit equations which are fitted simultaneously. The model is validated by variable selection procedures, tests of regression coefficients, a significant test of the overall model, goodness-of-fit measures, and validation of predicted probabilities using odds ratio. This study used the multinomial logistic regression model to investigate obesity and overweight among primary school students in a rural area on the basis of their demographic profiles, lifestyles and on the diet and food intake. The results indicated that obesity and overweight of students are related to gender, religion, sleep duration, time spent on electronic games, breakfast intake in a week, with whom meals are taken, protein intake, and also, the interaction between breakfast intake in a week with sleep duration, and the interaction between gender and protein intake.

Multinomial logistic regression modelling of obesity and overweight among primary school students in a rural area of Negeri Sembilan

International Nuclear Information System (INIS)

Ghazali, Amirul Syafiq Mohd; Ali, Zalila; Noor, Norlida Mohd; Baharum, Adam

2015-01-01

Multinomial logistic regression is widely used to model the outcomes of a polytomous response variable, a categorical dependent variable with more than two categories. The model assumes that the conditional mean of the dependent categorical variables is the logistic function of an affine combination of predictor variables. Its procedure gives a number of logistic regression models that make specific comparisons of the response categories. When there are q categories of the response variable, the model consists of q-1 logit equations which are fitted simultaneously. The model is validated by variable selection procedures, tests of regression coefficients, a significant test of the overall model, goodness-of-fit measures, and validation of predicted probabilities using odds ratio. This study used the multinomial logistic regression model to investigate obesity and overweight among primary school students in a rural area on the basis of their demographic profiles, lifestyles and on the diet and food intake. The results indicated that obesity and overweight of students are related to gender, religion, sleep duration, time spent on electronic games, breakfast intake in a week, with whom meals are taken, protein intake, and also, the interaction between breakfast intake in a week with sleep duration, and the interaction between gender and protein intake

Acute Predictors of Social Integration Following Mild Stroke.

Science.gov (United States)

Wise, Frances M; Harris, Darren W; Olver, John H; Davis, Stephen M; Disler, Peter B

2018-04-01

Despite an acknowledged need to accurately predict stroke outcome, there is little empirical evidence regarding acute predictors of participation restriction post stroke. The current study examines prediction of social integration following mild stroke, using combinations of acute poststroke factors. In a prospective, longitudinal study, a cohort of 60 stroke survivors was followed up at 6 months post stroke. Hierarchical multiple regression analyses were employed to evaluate the value of acute poststroke variables in predicting social integration at 6 months post stroke. A combination of age, number of comorbidities, stroke severity, social support factors, and general self-efficacy in the acute poststroke period accounted for 42% of the variance in 6-month social integration. The largest amount of variance (20%) was explained by inclusion of social support factors, including number and types of support. Post hoc analysis was conducted to establish whether marital status was the mediating variable through which early poststroke social support factors exerted influence upon subsequent social integration. The new combination of acute variables accounted for 48% of the variance in 6-month social integration. Results suggested that subjects with partners perceived higher levels of functional social support and lower levels of participation restriction. Stroke survivors with partners may receive greater amounts of companionship and encouragement from their partners, which enhances self-esteem and confidence. Such individuals are possibly more able to participate in and maintain relationships, thus improving social integration. Social support factors, mediated via marital status, are the strongest predictors of subsequent social integration following mild stroke. Copyright © 2018 National Stroke Association. Published by Elsevier Inc. All rights reserved.

Depression and Anxiety Screens as Predictors of 8-Year Incidence of Myocardial Infarction and Stroke in Primary Care Patients.

Science.gov (United States)

Stewart, Jesse C; Hawkins, Misty A W; Khambaty, Tasneem; Perkins, Anthony J; Callahan, Christopher M

2016-06-01

Because depression and anxiety are typically studied in isolation, our purpose was to examine the relative importance of these overlapping emotional factors in predicting incident cardiovascular disease (CVD). We examined depression and anxiety screens, and their individual items, as predictors of incident hard CVD events, myocardial infarction, and stroke for 8 years in a diverse sample of 2041 older primary care patients initially free of CVD. At baseline, participants completed self-report depression and anxiety screens. Data regarding CVD events were obtained from an electronic medical record system and the Centers for Medicare and Medicaid Services analytic files. During follow-up, 683 (33%) experienced a CVD event. Cox proportional hazards models-adjusted for demographic and CVD risk factors-revealed that a positive anxiety screen, but not a positive depression screen, was associated with an increased risk of a hard CVD event in separate models (Years 0-3: anxiety hazard ratio [HR] = 1.54, 95% confidence interval [CI] = 1.21-1.96, p anxiety HR = 0.99, CI = 0.81-1.21), p = .93; depression HR = 1.10, CI = 0.88-1.36, p = .41), as well as when entered into the same model (Years 0-3: anxiety HR = 1.53, CI = 1.20-1.95, p anxiety HR = 0.99, CI = 0.80-1.21, p = .99; depression HR = 1.03, CI = 0.82-1.29, p = .82). Analyses examining individual items and secondary outcomes showed that the anxiety-CVD association was largely driven by the feeling anxious item and the myocardial infarction outcome. Anxiety, especially feeling anxious, is a unique risk factor for CVD events in older adults, independent of conventional risk factors and depression. Anxiety deserves increased attention as a potential factor relevant to CVD risk stratification and a potential target of CVD primary prevention efforts.

Is parenting style a predictor of suicide attempts in a representative sample of adolescents?

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2014-01-01

Background Suicidal ideation and suicide attempts are serious but not rare conditions in adolescents. However, there are several research and practical suicide-prevention initiatives that discuss the possibility of preventing serious self-harm. Profound knowledge about risk and protective factors is therefore necessary. The aim of this study is a) to clarify the role of parenting behavior and parenting styles in adolescents’ suicide attempts and b) to identify other statistically significant and clinically relevant risk and protective factors for suicide attempts in a representative sample of German adolescents. Methods In the years 2007/2008, a representative written survey of N = 44,610 students in the 9th grade of different school types in Germany was conducted. In this survey, the lifetime prevalence of suicide attempts was investigated as well as potential predictors including parenting behavior. A three-step statistical analysis was carried out: I) As basic model, the association between parenting and suicide attempts was explored via binary logistic regression controlled for age and sex. II) The predictive values of 13 additional potential risk/protective factors were analyzed with single binary logistic regression analyses for each predictor alone. Non-significant predictors were excluded in Step III. III) In a multivariate binary logistic regression analysis, all significant predictor variables from Step II and the parenting styles were included after testing for multicollinearity. Results Three parental variables showed a relevant association with suicide attempts in adolescents – (all protective): mother’s warmth and father’s warmth in childhood and mother’s control in adolescence (Step I). In the full model (Step III), Authoritative parenting (protective: OR: .79) and Rejecting-Neglecting parenting (risk: OR: 1.63) were identified as significant predictors (p < .001) for suicidal attempts. Seven further variables were interpreted to be

Individualism-Collectivism, Social-Network Orientation, and Acculturation as Predictors of Attitudes toward Seeking Professional Psychological Help among Chinese Americans.

Science.gov (United States)

Tata, Shiraz Piroshaw; Leong, Frederick T. L.

1994-01-01

Used several culturally based variables (individualism-collectivism, social support attitudes, acculturation) and gender to predict patterns of help-seeking attitudes among Chinese American college students (n=219). Each of the independent variables was found to be a significant predictor of attitudes toward seeking professional psychological…

Predictors of antibiotic prescription in respiratory tract infections by ambulatory care practitioners Predictores de la prescripción de antibióticos en infecciones del tracto respiratorio por médicos de atención ambulatoria

Directory of Open Access Journals (Sweden)

Mireya Aznar

2005-12-01

Full Text Available The use of antibiotics in viral respiratory infections (common cold, acute rhinosinusitis and acute bronchitis promotes the emergence and spread of resistant bacteria. Studies have found that antibiotics are prescribed for 50-70% of respiratory tract infections, despite the fact that most of them have a viral etiology. The objective of the study was to determine predictors of antibiotic use in acute respiratory infections. It was conducted as a cross-sectional study on physicians' practices for antibiotic use. The subjects were internists and otolaryngologists of adult patients in an ambulatory setting in Buenos Aires. The instrument was a questionnaire with 20 clinical vignettes that included relevant variables for making decisions regarding antibiotic use in acute respiratory infections. The vignettes were constructed with a fractional factorial design with nine clinical variables. The absolute and relative weight of each clinical variable that predicted antibiotic use were calculated for each individual practitioner using multiple linear regression. The predictors with the greatest absolute weight in the decision to prescribe antibiotics were nasal discharge and cough (24% and 21% of total weight. The correlation between predictors and individual physician answers was high (r² = 0.73. The mean probability and the rate of antibiotic prescription were both about 50%. Predictors of antibiotic use for acute respiratory infections among ambulatory physicians in this sample differ from internationally accepted guidelines. The likelihood of prescribing antibiotics for these illnesses is high. Wider implementation of management guidelines for acute respiratory infections could improve cost effective antibiotic use and decrease the development of antibiotic resistance.El uso excesivo de antibióticos promueve la aparición y diseminación de bacterias resistentes. Se ha encontrado una tasa de prescripción de antibióticos en infecciones

Predictors of the number of under-five malnourished children in Bangladesh: application of the generalized poisson regression model.

Science.gov (United States)

Islam, Mohammad Mafijul; Alam, Morshed; Tariquzaman, Md; Kabir, Mohammad Alamgir; Pervin, Rokhsona; Begum, Munni; Khan, Md Mobarak Hossain

2013-01-08

Malnutrition is one of the principal causes of child mortality in developing countries including Bangladesh. According to our knowledge, most of the available studies, that addressed the issue of malnutrition among under-five children, considered the categorical (dichotomous/polychotomous) outcome variables and applied logistic regression (binary/multinomial) to find their predictors. In this study malnutrition variable (i.e. outcome) is defined as the number of under-five malnourished children in a family, which is a non-negative count variable. The purposes of the study are (i) to demonstrate the applicability of the generalized Poisson regression (GPR) model as an alternative of other statistical methods and (ii) to find some predictors of this outcome variable. The data is extracted from the Bangladesh Demographic and Health Survey (BDHS) 2007. Briefly, this survey employs a nationally representative sample which is based on a two-stage stratified sample of households. A total of 4,460 under-five children is analysed using various statistical techniques namely Chi-square test and GPR model. The GPR model (as compared to the standard Poisson regression and negative Binomial regression) is found to be justified to study the above-mentioned outcome variable because of its under-dispersion (variance variable namely mother's education, father's education, wealth index, sanitation status, source of drinking water, and total number of children ever born to a woman. Consistencies of our findings in light of many other studies suggest that the GPR model is an ideal alternative of other statistical models to analyse the number of under-five malnourished children in a family. Strategies based on significant predictors may improve the nutritional status of children in Bangladesh.

Management Styles, Mediating Variables, and Stress among HRD Professionals.

Science.gov (United States)

Lind, Susan L.; Otte, Fred L.

1994-01-01

Data from 355 valid responses from 1,000 human resource professionals showed that specific variables predicted stress according to the management style of respondents' managers (authoritative, benevolent, consultative, participative). Self-esteem, locus of control, and Type A behavior were consistent predictors. (SK)

Land surface temperature downscaling using random forest regression: primary result and sensitivity analysis

Science.gov (United States)

Pan, Xin; Cao, Chen; Yang, Yingbao; Li, Xiaolong; Shan, Liangliang; Zhu, Xi

2018-04-01

The land surface temperature (LST) derived from thermal infrared satellite images is a meaningful variable in many remote sensing applications. However, at present, the spatial resolution of the satellite thermal infrared remote sensing sensor is coarser, which cannot meet the needs. In this study, LST image was downscaled by a random forest model between LST and multiple predictors in an arid region with an oasis-desert ecotone. The proposed downscaling approach was evaluated using LST derived from the MODIS LST product of Zhangye City in Heihe Basin. The primary result of LST downscaling has been shown that the distribution of downscaled LST matched with that of the ecosystem of oasis and desert. By the way of sensitivity analysis, the most sensitive factors to LST downscaling were modified normalized difference water index (MNDWI)/normalized multi-band drought index (NMDI), soil adjusted vegetation index (SAVI)/ shortwave infrared reflectance (SWIR)/normalized difference vegetation index (NDVI), normalized difference building index (NDBI)/SAVI and SWIR/NDBI/MNDWI/NDWI for the region of water, vegetation, building and desert, with LST variation (at most) of 0.20/-0.22 K, 0.92/0.62/0.46 K, 0.28/-0.29 K and 3.87/-1.53/-0.64/-0.25 K in the situation of +/-0.02 predictor perturbances, respectively.

The spatial distribution of known predictors of autism spectrum disorders impacts geographic variability in prevalence in central North Carolina

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Hoffman Kate

2012-10-01

Full Text Available Abstract Background The causes of autism spectrum disorders (ASD remain largely unknown and widely debated; however, evidence increasingly points to the importance of environmental exposures. A growing number of studies use geographic variability in ASD prevalence or exposure patterns to investigate the association between environmental factors and ASD. However, differences in the geographic distribution of established risk and predictive factors for ASD, such as maternal education or age, can interfere with investigations of ASD etiology. We evaluated geographic variability in the prevalence of ASD in central North Carolina and the impact of spatial confounding by known risk and predictive factors. Methods Children meeting a standardized case definition for ASD at 8 years of age were identified through records-based surveillance for 8 counties biennially from 2002 to 2008 (n=532. Vital records were used to identify the underlying cohort (15% random sample of children born in the same years as children with an ASD, n=11,034, and to obtain birth addresses. We used generalized additive models (GAMs to estimate the prevalence of ASD across the region by smoothing latitude and longitude. GAMs, unlike methods used in previous spatial analyses of ASD, allow for extensive adjustment of individual-level risk factors (e.g. maternal age and education when evaluating spatial variability of disease prevalence. Results Unadjusted maps revealed geographic variation in surveillance-recognized ASD. Children born in certain regions of the study area were up to 1.27 times as likely to be recognized as having ASD compared to children born in the study area as a whole (prevalence ratio (PR range across the study area 0.57-1.27; global P=0.003. However, geographic gradients of ASD prevalence were attenuated after adjusting for spatial confounders (adjusted PR range 0.72-1.12 across the study area; global P=0.052. Conclusions In these data, spatial variation of ASD

Variable Selection in Time Series Forecasting Using Random Forests

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Hristos Tyralis

2017-10-01

Full Text Available Time series forecasting using machine learning algorithms has gained popularity recently. Random forest is a machine learning algorithm implemented in time series forecasting; however, most of its forecasting properties have remained unexplored. Here we focus on assessing the performance of random forests in one-step forecasting using two large datasets of short time series with the aim to suggest an optimal set of predictor variables. Furthermore, we compare its performance to benchmarking methods. The first dataset is composed by 16,000 simulated time series from a variety of Autoregressive Fractionally Integrated Moving Average (ARFIMA models. The second dataset consists of 135 mean annual temperature time series. The highest predictive performance of RF is observed when using a low number of recent lagged predictor variables. This outcome could be useful in relevant future applications, with the prospect to achieve higher predictive accuracy.

The predictors of quality of life in women with polycystic ovarian syndrome.

Science.gov (United States)

Aliasghari, Fatemeh; Mirghafourvand, Mojgan; Charandabi, Sakineh Mohammad-Alizadeh; Lak, Tahereh Behroozi

2017-06-01

Polycystic ovarian syndrome (PCOS) is one of the most common endocrine disorder that may be effective in reducing the quality of life. This study aimed to determine the predictors of quality of life in women with PCOS. This cross-sectional study was conducted on 174 women with PCOS who attended in public and private fertility clinics in Urmia (West Azerbaijan, Iran), 2015. The data were collected through the questionnaires of sociodemographic and obstetrics characteristics, quality of life and Beck depression inventory-II. Multivariate linear regression was used to estimate the effect rate of the independent variables (depression and sociodemographic characteristics) on the dependent variable (quality of life). In this study, the mean (standard deviation) of total score of the quality of life was obtained, 45.8 (11.3) in the range 0-100. The highest and lowest mean scores were in the subdomains of weight and hirsutism. The variables of depression, body mass index, woman's job, menstrual cycle intervals, and sexual satisfaction were predictors of the quality of life in women with PCOS. Because of various effective factors on quality of life in these women such as depression, necessary strategies must be implemented to control these factors and improve the quality of life. © 2017 John Wiley & Sons Australia, Ltd.

Factores predictores del consumo de tabaco entre adolescentes del Colegio Universitario Santiago de Cali, 2005

OpenAIRE

Yamileth Ortiz-Gómez; Jorge Martín Rodríguez-Hernández

2009-01-01

Objetivos: Identificar los factores predictores del consumo de tabaco entre los adolescentes del Colegio Santiago de Cali. Materiales y métodos: Estudio transversal con una muestra de 286 adolescentes matriculados y activos de grado 6 a 9 en el año lectivo 2005. A partir de la prevalencia del consumo de tabaco, se estimaron diferencias para las variables independientes con Ji2 y valores P. Los factores predictores fueron establecidos con un modelo logístico no condicional, previa evaluación d...

Isolation of primary microglia from the human post-mortem brain: effects of ante- and post-mortem variables.

Science.gov (United States)

Mizee, Mark R; Miedema, Suzanne S M; van der Poel, Marlijn; Adelia; Schuurman, Karianne G; van Strien, Miriam E; Melief, Jeroen; Smolders, Joost; Hendrickx, Debbie A; Heutinck, Kirstin M; Hamann, Jörg; Huitinga, Inge

2017-02-17

Microglia are key players in the central nervous system in health and disease. Much pioneering research on microglia function has been carried out in vivo with the use of genetic animal models. However, to fully understand the role of microglia in neurological and psychiatric disorders, it is crucial to study primary human microglia from brain donors. We have developed a rapid procedure for the isolation of pure human microglia from autopsy tissue using density gradient centrifugation followed by CD11b-specific cell selection. The protocol can be completed in 4 h, with an average yield of 450,000 and 145,000 viable cells per gram of white and grey matter tissue respectively. This method allows for the immediate phenotyping of microglia in relation to brain donor clinical variables, and shows the microglia population to be distinguishable from autologous choroid plexus macrophages. This protocol has been applied to samples from over 100 brain donors from the Netherlands Brain Bank, providing a robust dataset to analyze the effects of age, post-mortem delay, brain acidity, and neurological diagnosis on microglia yield and phenotype. Our data show that cerebrospinal fluid pH is positively correlated to microglial cell yield, but donor age and post-mortem delay do not negatively affect viable microglia yield. Analysis of CD45 and CD11b expression showed that changes in microglia phenotype can be attributed to a neurological diagnosis, and are not influenced by variation in ante- and post-mortem parameters. Cryogenic storage of primary microglia was shown to be possible, albeit with variable levels of recovery and effects on phenotype and RNA quality. Microglial gene expression substantially changed due to culture, including the loss of the microglia-specific markers, showing the importance of immediate microglia phenotyping. We conclude that primary microglia can be isolated effectively and rapidly from human post-mortem brain tissue, allowing for the study of the

[Oxygen peak consumption is a better predictor of cardiovascular risk than handgrip strength in older Chilean women].

Science.gov (United States)

Farías-Valenzuela, Claudio; Pérez-Luco, Cristian; Ramírez-Campillo, Rodrigo; Álvarez, Cristian; Castro-Sepúlveda, Mauricio

Handgrip strength (HS) and peak oxygen consumption (Vo2peak) are powerful predictors of cardiovascular risk, although it is unknown which of the two variables is the better predictor. The objective of the following study was to relate HS and Vo2peak to cardiovascular risk markers in older Chilean women. Physically active adult women (n=51; age, 69±4.7years) participated in this study. The HS and Vo2peak were evaluated and related to the anthropometric variables of body mass, body mass index (BMI), waist circumference (WC), hip circumference (HC), waist ratio (WR), and waist height ratio (WHR), as well as with the cardiovascular variables systolic (SBP) and diastolic (DBP) and cardiac recovery in one minute (RHR1). A multilinear regression model was used for the analysis of the associated variables (Pcardiovascular risk markers associated (Pcardiovascular risk markers, Vo2peak offers greater associative power with these cardiovascular risk factors. Copyright © 2017 SEGG. Publicado por Elsevier España, S.L.U. All rights reserved.

Clients' perception of the quality of primary health service and its ...

African Journals Online (AJOL)

This study assessed perceived quality of primary health care and identified predictors in the ... Outcome measured were patients' satisfaction with doctors and nurses' ... using regression analyses with p-value < 0.005 considered significant.

Stepwise latent class models for explaining group-level putcomes using discrete individual-level predictors

NARCIS (Netherlands)

Bennink, Margot; Croon, M.A.; Vermunt, J.K.

2015-01-01

Explaining group-level outcomes from individual-level predictors requires aggregating the individual-level scores to the group level and correcting the group-level estimates for measurement errors in the aggregated scores. However, for discrete variables it is not clear how to perform the

Socioeconomic predictors of human papillomavirus vaccination among girls in the Danish childhood immunization program

DEFF Research Database (Denmark)

Slåttelid Schreiber, Selma Marie; Juul, Kirsten Egebjerg; Dehlendorff, Christian

2015-01-01

to identify socioeconomic predictors of initiation and completion of HPV vaccination. METHODS: Girls born in 1996-1997 and their guardians were identified through the Danish Civil Registration System. Information on socioeconomic variables and HPV vaccination status was obtained by linkage to Statistics...

Shared and unique predictors of post-traumatic growth and distress.

Science.gov (United States)

Dekel, Sharon; Mandl, Christine; Solomon, Zahava

2011-03-01

This prospective longitudinal study compared pretraumatic, peritraumatic, and post-traumatic predictors of post-traumatic growth (PTG) and post-traumatic stress disorder (PTSD). A total of 103 Israeli former prisoners of the Yom Kippur War were followed over 30 years. Sociodemographic variables, trauma exposure, reactions in captivity, world assumptions, social support, and personality factors were assessed in 1991, and PTG and PTSD symptoms in 2003. Hierarchical regression modeling showed that although some predictors, namely, loss of control and active coping during captivity, predicted both PTG and PTSD, others predicted one outcome and not the other. Self-controllability predicted PTG while sociodemographic factors predicted PTSD when controlling for PTSD and PTG, respectively. The findings indicate that salutary and pathogenic trauma outcomes share some but not all precursors, underscoring their multifaceted relationship. © 2010 Wiley Periodicals, Inc.

A Poisson regression approach to model monthly hail occurrence in Northern Switzerland using large-scale environmental variables

Science.gov (United States)

Madonna, Erica; Ginsbourger, David; Martius, Olivia

2018-05-01

In Switzerland, hail regularly causes substantial damage to agriculture, cars and infrastructure, however, little is known about its long-term variability. To study the variability, the monthly number of days with hail in northern Switzerland is modeled in a regression framework using large-scale predictors derived from ERA-Interim reanalysis. The model is developed and verified using radar-based hail observations for the extended summer season (April-September) in the period 2002-2014. The seasonality of hail is explicitly modeled with a categorical predictor (month) and monthly anomalies of several large-scale predictors are used to capture the year-to-year variability. Several regression models are applied and their performance tested with respect to standard scores and cross-validation. The chosen model includes four predictors: the monthly anomaly of the two meter temperature, the monthly anomaly of the logarithm of the convective available potential energy (CAPE), the monthly anomaly of the wind shear and the month. This model well captures the intra-annual variability and slightly underestimates its inter-annual variability. The regression model is applied to the reanalysis data back in time to 1980. The resulting hail day time series shows an increase of the number of hail days per month, which is (in the model) related to an increase in temperature and CAPE. The trend corresponds to approximately 0.5 days per month per decade. The results of the regression model have been compared to two independent data sets. All data sets agree on the sign of the trend, but the trend is weaker in the other data sets.

Primary Tumor Volume Is an Important Predictor of Clinical Outcomes Among Patients With Locally Advanced Squamous Cell Cancer of the Head and Neck Treated With Definitive Chemoradiotherapy

International Nuclear Information System (INIS)

Strongin, Anna; Yovino, Susannah; Taylor, Rodney; Wolf, Jeffrey; Cullen, Kevin; Zimrin, Ann; Strome, Scott; Regine, William; Suntharalingam, Mohan

2012-01-01

Purpose: The tumor volume has been established as a significant predictor of outcomes among patients with head-and-neck cancer undergoing radiotherapy alone. The present study attempted to add to the existing data on tumor volume as a prognostic factor among patients undergoing chemoradiotherapy. Methods and Materials: A total of 78 patients who had undergone definitive chemoradiotherapy for Stage III-IV squamous cell cancer of the hypopharynx, oropharynx, and larynx were identified. The primary tumor volumes were calculated from the treatment planning computed tomography scans, and these were correlated to the survival and tumor control data obtained from the retrospective analysis. Results: The interval to progression correlated with the primary tumor volume (p = .007). The critical cutoff point for the tumor volume was identified as 35 cm 3 , and patients with a tumor volume 3 had a significantly better prognosis than those with a tumor volume >35 cm 3 at 5 years (43% vs. 71%, p = .010). Longer survival was also correlated with smaller primary tumor volumes (p = .022). Similarly, patients with a primary tumor volume 3 had a better prognosis in terms of both progression-free survival (61% vs. 33%, p = .004) and overall survival (84% vs. 41%, p = 3 larger than tumors without locoregional failure (p = .028) and 27.1-cm 3 larger than tumors that recurred as distant metastases (p = .020). Conclusion: The results of our study have shown that the primary tumor volume is a significant prognostic factor in patients with advanced cancer of the head and neck undergoing definitive chemoradiotherapy and correlated with the treatment outcomes better than the T or N stage.

Fear of childbirth and obstetrical events as predictors of postnatal symptoms of depression and post-traumatic stress disorder.

Science.gov (United States)

Fairbrother, Nichole; Woody, Sheila R

2007-12-01

This prospective study examined psychological and obstetrical predictors of enduring postpartum symptoms of depression and post-traumatic stress disorder. Contrary to prediction, prenatal fear of childbirth did not significantly predict symptoms of depression or post-traumatic stress disorder at one month postpartum, but anxiety sensitivity was an unexpected predictor that merits further investigation. Several obstetrical and neonatal variables significantly predicted symptoms of post-traumatic disorder, but not depression.

Predictors of Preoperative Program Non-Completion in Adolescents Referred for Bariatric Surgery.

Science.gov (United States)

Brode, Cassie; Ratcliff, Megan; Reiter-Purtill, Jennifer; Hunsaker, Sanita; Helmrath, Michael; Zeller, Meg

2018-04-23

Factors contributing to adolescents' non-completion of bariatric surgery, defined as self-withdrawal during the preoperative phase of care, independent of program or insurance denial, are largely unknown. Recent adolescent and adult bariatric surgery literature indicate that psychological factors and treatment withdrawal play a role; however, for adolescents, additional age-salient (family/caregiver) variables might also influence progression to surgery. The present study examined demographic, psychological, and family/caregiver variables as predictors of whether adolescents completed surgery ("completers") or withdrew from treatment ("non-completers"). Adolescents were from a bariatric surgery program within a pediatric tertiary care hospital. A retrospective chart review was conducted of consecutive patients who completed bariatric surgery psychological intake evaluations from September 2009 to April 2013. Data involving completer (n = 61) versus non-completer (n = 65) status were analyzed using two-tailed independent t tests, Chi-squared tests, and logistic regressions. Forty-three percent of adolescents completed surgery, similar to adult bariatric samples. Significantly more males were non-completers (p adolescents (p = 0.06). No other demographic, psychological, or caregiver/family variables were significant predictors of non-completion. These findings indicate that demographic variables, rather than psychological or family factors, were associated with the progression to or withdrawal from surgery. Further assessment is needed to determine specific reasons for completing or withdrawing from treatment, particularly for males and older adolescents, to improve clinical care and reduce attrition.

25-Hydroxy vitamin-D, obesity, and associated variables as predictors of breast cancer risk and tamoxifen benefit in NSABP-P1.

Science.gov (United States)

Amir, Eitan; Cecchini, Reena S; Ganz, Patricia A; Costantino, Joseph P; Beddows, Samantha; Hood, Nicola; Goodwin, Pamela J

2012-06-01

Observational studies suggest that host factors are associated with breast cancer risk. The influence of obesity, vitamin-D status, insulin resistance, inflammation, and elevated adipocytokines in women at high risk of breast cancer is unknown. The NSABP-P1 trial population was used for a nested case-control study. Cases were drawn from those who developed invasive breast cancer and controls selected from unaffected participants (≤4 per case) matched for age, race, 5 year Gail score, and geographic location of clinical center as a surrogate for latitude. Fasting serum banked at trial enrolment was assayed for 25-hydroxy vitamin-D (25OHD), insulin, leptin (adipocytokine), and C-reactive protein (CRP, marker of inflammation). Logistic regression was used to test for associations between study variables and the risk of invasive breast cancer. Two hundred and thirty-one cases were matched with 856 controls. Mean age was 54, and 49% were premenopausal. There were negative correlations for 25OHD with body mass index (BMI), insulin, CRP, and leptin. BMI ≥ 25 kg/m(2) was associated with higher breast cancer risk (odds ratio [OR] 1.45, p = 0.02) and tamoxifen treatment was associated with lower risk (OR = 0.44, p continuous variables, 25OHD, insulin, CRP, and leptin levels were not associated with breast cancer risk (all p > 0.34). In this high risk population, higher BMI was associated with a greater breast cancer risk. Serum levels of 25OHD, insulin, CRP, and leptin were not independent predictors of either breast cancer risk or tamoxifen benefit.

Social Process Variables Affecting Reading Performance in Delayed Readers.

Science.gov (United States)

Lorton, Mary; Kukuk, Christopher

1978-01-01

Examines the relationship between 14 social process variables and the reading performances of 180 slow learners, ages 7-15. Finds that two of those factors (brith trauma and being held back in school) emerge as predictors of reading comprehension, word recognition, and spelling. (RL)

Observer variability of absolute and relative thrombus density measurements in patients with acute ischemic stroke

NARCIS (Netherlands)

E.M.M. Santos (Emilie M.); A.J. Yoo (Albert J.); L.F.M. Beenen (Ludo); O.A. Berkhemer (Olvert); M.D. Den Blanken (Mark D.); C. Wismans (Carrie); W.J. Niessen (Wiro); C.B. Majoie (Charles); H. Marquering (Henk)

2016-01-01

textabstractIntroduction: Thrombus density may be a predictor for acute ischemic stroke treatment success. However, only limited data on observer variability for thrombus density measurements exist. This study assesses the variability and bias of four common thrombus density measurement methods by

Predictors of Hospitalization among Children on ART in Ethiopia: a Cohort study.

Science.gov (United States)

Haileamlak, Abraham; Hagos, Tesfalem; Abebe, Workeabeba; Abraham, Loko; Asefa, Henok; Teklu, Alula M

2017-02-01

Substantial progress has been made in the management of pediatric HIV infection in Ethiopia with the implementation of mother-to-child-prevention programs. Since the introduction of HAART in 2005, mortality among HIV-infected children has reduced while the rate of hospitalization was expected to rise. The purpose of this study, therefore, was to assess predictors of hospitalization in children on ART in seven university referral hospitals in Ethiopia. A prospective cohort study design was employed on children age 0-18 years as part of a multisite observational study. ART-experienced eligible and ART-naïve children with HIV/AIDS were enrolled into the Advanced Clinical Monitoring (ACM) till December 31, 2012 were included. From the database, information on hospitalization and other independent variables were extracted. Analysis was done using both SPSS for Windows version 16.0 and STATA. Descriptive analyses and modeling was done using logistic regression. Of the 405 children on ART (174 experienced, 231 naive), 86 (20.7%) were hospitalized for various reasons; two children were excluded since they were hospitalized for unrelated conditions (appendicitis and burn). Fifty one (60.7%) of the eighty four admitted children were hospitalized in the first six months of ART initiation. Of the independent variables, only the presence of opportunistic infections and duration on ART were significantly associated with hospitalization both on bi-variable and multivariable analyses (P-value ART increased by one month, the risk of hospitalization decreased by 5.4%, which is statistically significant (P hospitalized increased by 35.2% (P = 0.002). Of the individual opportunistic infections, pneumonia was found to be the only predictor of hospitalization (P-value = 0.002). This study showed that nearly two-third of the hospitalization was within 6 months of initiation of ART; and presence of OI and duration on ART were the only predictors of hospitalization.

Beyond a climate-centric view of plant distribution: edaphic variables add value to distribution models.

Science.gov (United States)

Beauregard, Frieda; de Blois, Sylvie

2014-01-01

Both climatic and edaphic conditions determine plant distribution, however many species distribution models do not include edaphic variables especially over large geographical extent. Using an exceptional database of vegetation plots (n = 4839) covering an extent of ∼55,000 km2, we tested whether the inclusion of fine scale edaphic variables would improve model predictions of plant distribution compared to models using only climate predictors. We also tested how well these edaphic variables could predict distribution on their own, to evaluate the assumption that at large extents, distribution is governed largely by climate. We also hypothesized that the relative contribution of edaphic and climatic data would vary among species depending on their growth forms and biogeographical attributes within the study area. We modelled 128 native plant species from diverse taxa using four statistical model types and three sets of abiotic predictors: climate, edaphic, and edaphic-climate. Model predictive accuracy and variable importance were compared among these models and for species' characteristics describing growth form, range boundaries within the study area, and prevalence. For many species both the climate-only and edaphic-only models performed well, however the edaphic-climate models generally performed best. The three sets of predictors differed in the spatial information provided about habitat suitability, with climate models able to distinguish range edges, but edaphic models able to better distinguish within-range variation. Model predictive accuracy was generally lower for species without a range boundary within the study area and for common species, but these effects were buffered by including both edaphic and climatic predictors. The relative importance of edaphic and climatic variables varied with growth forms, with trees being more related to climate whereas lower growth forms were more related to edaphic conditions. Our study identifies the potential

Development and validation of a prediction model for long-term sickness absence based on occupational health survey variables.

Science.gov (United States)

Roelen, Corné; Thorsen, Sannie; Heymans, Martijn; Twisk, Jos; Bültmann, Ute; Bjørner, Jakob

2018-01-01

The purpose of this study is to develop and validate a prediction model for identifying employees at increased risk of long-term sickness absence (LTSA), by using variables commonly measured in occupational health surveys. Based on the literature, 15 predictor variables were retrieved from the DAnish National working Environment Survey (DANES) and included in a model predicting incident LTSA (≥4 consecutive weeks) during 1-year follow-up in a sample of 4000 DANES participants. The 15-predictor model was reduced by backward stepwise statistical techniques and then validated in a sample of 2524 DANES participants, not included in the development sample. Identification of employees at increased LTSA risk was investigated by receiver operating characteristic (ROC) analysis; the area-under-the-ROC-curve (AUC) reflected discrimination between employees with and without LTSA during follow-up. The 15-predictor model was reduced to a 9-predictor model including age, gender, education, self-rated health, mental health, prior LTSA, work ability, emotional job demands, and recognition by the management. Discrimination by the 9-predictor model was significant (AUC = 0.68; 95% CI 0.61-0.76), but not practically useful. A prediction model based on occupational health survey variables identified employees with an increased LTSA risk, but should be further developed into a practically useful tool to predict the risk of LTSA in the general working population. Implications for rehabilitation Long-term sickness absence risk predictions would enable healthcare providers to refer high-risk employees to rehabilitation programs aimed at preventing or reducing work disability. A prediction model based on health survey variables discriminates between employees at high and low risk of long-term sickness absence, but discrimination was not practically useful. Health survey variables provide insufficient information to determine long-term sickness absence risk profiles. There is a need for

Plant Water Content is the Best Predictor of Drought-induced Mortality

Science.gov (United States)

Sapes, G.; Roskilly, B.; Dobrowski, S.; Sala, A.

2017-12-01

Predicting drought-induced forest mortality remains extremely challenging. Recent research has shown that both plant hydraulics and stored non-structural carbohydrates (NSC) interact during drought-induced mortality. The strong interaction between these two variables and the fact that they are both difficult to measure render drought-induced plant mortality extremely difficult to monitor and predict. A variable that is easier to measure and that integrates hydraulic transport and carbohydrate dynamics may, therefore, improve our ability to monitor and predict mortality. Here, we tested whether plant water content is such an integrator variable and, therefore, a better predictor of mortality under drought. We subjected 250 two-year-old ponderosa pine seedlings to drought until they died in a greenhouse experiment. Periodically during the dry down, we measured percent loss of hydraulic conductivity (PLC), NSC concentration (starch and soluble sugars), and tissue volumetric water content (VWC) in roots, stems and leaves. At each measurement time, a separate set of seedlings were re-watered to estimate the probability of mortality at the population level. Linear models were used to explore whether PLC and NSC were linked to VWC and to determine which of the three variables predicted mortality the best. As expected, plants lost hydraulic conductivity in stems and roots during the dry down. Starch concentrations also decreased in all organs as the drought proceeded. In contrast, soluble sugars increased in stems and roots, consistent with the conversion of stored NSCs into osmotically active compounds. Models containing both PLC and NSC concentrations as predictors of VWC were highly significant in all organs and at the whole plant level, indicating that water content is influenced by both PLC and NSCs. PLC, NSC, and VWC explained mortality across organs and at the whole plant level, but VWC was the best predictor (R2 = 0.99). Our results indicate that plant water

Are competition and extrinsic motivation reliable predictors of academic cheating?

OpenAIRE

Gábor eOrosz; Gábor eOrosz; Gábor eOrosz; Dávid eFarkas; Dávid eFarkas; Dávid eFarkas; Christine eRoland-Levy

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,...

Spectral analyses of systolic blood pressure and heart rate variability and their association with cognitive performance in elderly hypertensive subjects.

Science.gov (United States)

Santos, W B; Matoso, J M D; Maltez, M; Gonçalves, T; Casanova, M; Moreira, I F H; Lourenço, R A; Monteiro, W D; Farinatti, P T V; Soares, P P; Oigman, W; Neves, M F T; Correia, M L G

2015-08-01

Systolic hypertension is associated with cognitive decline in the elderly. Altered blood pressure (BP) variability is a possible mechanism of reduced cognitive performance in elderly hypertensives. We hypothesized that altered beat-to-beat systolic BP variability is associated with reduced global cognitive performance in elderly hypertensive subjects. In exploratory analyses, we also studied the correlation between diverse discrete cognitive domains and indices of systolic BP and heart rate variability. Disproving our initial hypothesis, we have shown that hypertension and low education, but not indices of systolic BP and heart rate variability, were independent predictors of lower global cognitive performance. However, exploratory analyses showed that the systolic BP variability in semi-upright position was an independent predictor of matrix reasoning (B = 0.08 ± .03, P-value = 0.005), whereas heart rate variability in semi-upright position was an independent predictor of the executive function score (B = -6.36 ± 2.55, P-value = 0.02). We conclude that myogenic vascular and sympathetic modulation of systolic BP do not contribute to reduced global cognitive performance in treated hypertensive subjects. Nevertheless, our results suggest that both systolic BP and heart rate variability might be associated with modulation of frontal lobe cognitive domains, such as executive function and matrix reasoning.

Media and Life Dissatisfaction as Predictors of Body Dissatisfaction

Directory of Open Access Journals (Sweden)

Melissa Bittencourt Jaeger

2015-08-01

Full Text Available Body dissatisfaction can contribute to social, occupational and recreational losses, constituting a risk factor to health. This study aimed to evaluate the predictors of body dissatisfaction regarding demographic variables, media and life satisfaction among university students. The sample consisted of 321 participants older than 18 years. Body dissatisfaction, life dissatisfaction and media messages internalization were evaluated by Escala de Silhuetas para Adultos Brasileiros, Subjective Well-Being Scale and Sociocultural Attitudes Towards Appearance Questionnaire-3, respectively. Data were collected by an online survey tool (SurveyMonkey® and were analyzed using multiple linear regression. It was found that body dissatisfaction was positively related to inaccuracy in the perception of body size, Body Mass Index, life dissatisfaction, media messages internalization and television exposure. These findings evidence the importance of these predictors in the dynamics of body dissatisfaction, which support the development of preventive and treatment interventions.

Erectile dysfunction is a strong predictor of poor quality of life in men with Type 2 diabetes mellitus.

Science.gov (United States)

Malavige, L S; Jayaratne, S D; Kathriarachchi, S T; Sivayogan, S; Ranasinghe, P; Levy, J C

2014-06-01

To identify predictors of poor quality of life among men with diabetes from a comprehensive set of sexual, clinical, socio-economic and lifestyle variables. This was a cross-sectional observational-study of 253 men with Type 2 diabetes, randomly selected from a clinic in Colombo, Sri Lanka. Erectile dysfunction was assessed using the five-item International Index of Erectile Function and quality of life was assessed using the Sri Lankan version of the 36-item short form health survey questionnaire and the disease-specific Psychological Impact of Erectile Dysfunction scale. The presence of premature ejaculation, reduced libido, socio-demographic and lifestyle data was obtained using an interviewer-administered questionnaire. Significant predictors of quality of life were identified by stepwise multivariate linear regression models for short form-36 subscales, summary scales and two scales of Psychological Impact of Erectile Dysfunction. Significant predictors on the physical summary scale of the 36-item short form were erectile dysfunction (β = 7.93, 95% CI 3.70-12.17, P 27.5 kg/m(2) (β = 9.12, 95% CI 1.38-17.44, P strong predictor of poor generic and disease-specific quality of life among other sexual and clinical variables in men with diabetes. © 2014 The Authors. Diabetic Medicine © 2014 Diabetes UK.

Predictors of outcomes in outpatients with anorexia nervosa - Results from the ANTOP study.

Science.gov (United States)

Wild, Beate; Friederich, Hans-Christoph; Zipfel, Stephan; Resmark, Gaby; Giel, Katrin; Teufel, Martin; Schellberg, Dieter; Löwe, Bernd; de Zwaan, Martina; Zeeck, Almut; Herpertz, Stephan; Burgmer, Markus; von Wietersheim, Jörn; Tagay, Sefik; Dinkel, Andreas; Herzog, Wolfgang

2016-10-30

This study aimed to determine predictors of BMI and recovery for outpatients with anorexia nervosa (AN). Patients were participants of the ANTOP (Anorexia Nervosa Treatment of Out-Patients) trial and randomized to focal psychodynamic therapy (FPT), enhanced cognitive behavior therapy (CBT-E), or optimized treatment as usual (TAU-O). N=169 patients participated in the one-year follow-up (T4). Outcomes were the BMI and global outcome (recovery/partial syndrome/full syndrome) at T4. We examined the following baseline variables as possible predictors: age, BMI, duration of illness, subtype of AN, various axis I diagnoses, quality of life, self-esteem, and psychological characteristics relevant to AN. Linear and logistic regression analyses were conducted to identify the predictors of the BMI and global outcome. The strongest positive predictor for BMI and recovery at T4 was a higher baseline BMI of the patients. Negative predictors for BMI and recovery were a duration of illness >6 years and a lifetime depression diagnosis at baseline. Additionally, higher bodily pain was significantly associated with a lower BMI and self-esteem was a positive predictor for recovery at T4. A higher baseline BMI and shorter illness duration led to a better outcome. Further research is necessary to investigate whether or not AN patients with lifetime depression, higher bodily pain, and lower self-esteem may benefit from specific treatment approaches. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Variables Predicting Foreign Language Reading Comprehension and Vocabulary Acquisition in a Linear Hypermedia Environment

Science.gov (United States)

Akbulut, Yavuz

2007-01-01

Factors predicting vocabulary learning and reading comprehension of advanced language learners of English in a linear multimedia text were investigated in the current study. Predictor variables of interest were multimedia type, reading proficiency, learning styles, topic interest and background knowledge about the topic. The outcome variables of…

Predictors of 30-day readmission after aneurysmal subarachnoid hemorrhage: a case-control study.

Science.gov (United States)

Greenberg, Jacob K; Guniganti, Ridhima; Arias, Eric J; Desai, Kshitij; Washington, Chad W; Yan, Yan; Weng, Hua; Xiong, Chengjie; Fondahn, Emily; Cross, DeWitte T; Moran, Christopher J; Rich, Keith M; Chicoine, Michael R; Dhar, Rajat; Dacey, Ralph G; Derdeyn, Colin P; Zipfel, Gregory J

2017-06-01

OBJECTIVE Despite persisting questions regarding its appropriateness, 30-day readmission is an increasingly common quality metric used to influence hospital compensation in the United States. However, there is currently insufficient evidence to identify which patients are at highest risk for readmission after aneurysmal subarachnoid hemorrhage (SAH). The objective of this study was to identify predictors of 30-day readmission after SAH, to focus preventative efforts, and to provide guidance to funding agencies seeking to risk-adjust comparisons among hospitals. METHODS The authors performed a case-control study of 30-day readmission among aneurysmal SAH patients treated at a single center between 2003 and 2013. To control for geographic distance from the hospital and year of treatment, the authors randomly matched each case (30-day readmission) with approximately 2 SAH controls (no readmission) based on home ZIP code and treatment year. They evaluated variables related to patient demographics, socioeconomic characteristics, comorbidities, presentation severity (e.g., Hunt and Hess grade), and clinical course (e.g., need for gastrostomy or tracheostomy, length of stay). Conditional logistic regression was used to identify significant predictors, accounting for the matched design of the study. RESULTS Among 82 SAH patients with unplanned 30-day readmission, the authors matched 78 patients with 153 nonreadmitted controls. Age, demographics, and socioeconomic factors were not associated with readmission. In univariate analysis, multiple variables were significantly associated with readmission, including Hunt and Hess grade (OR 3.0 for Grade IV/V vs I/II), need for gastrostomy placement (OR 2.0), length of hospital stay (OR 1.03 per day), discharge disposition (OR 3.2 for skilled nursing vs other disposition), and Charlson Comorbidity Index (OR 2.3 for score ≥ 2 vs 0). However, the only significant predictor in the multivariate analysis was discharge to a skilled

The prevalence and predictors of severe depression among the elderly in Malaysia.

Science.gov (United States)

Rashid, Abdul; Tahir, Ibrahim

2015-03-01

The population of Malaysia is relatively young, due to this there is a dearth in research conducted among the elderly especially relating to depression. The aim of this study is to determine the prevalence and the predictors of severe depression among the elderly in Malaysia. A sample of 2005 older adults randomly selected from the Penang State government's list of elderly receiving aid participated in the study. The Geriatric Depression Scale was used to screen for depression. Socio-demographic, social support, disease, functional and other factors were looked at as possible predictor variables. The prevalence of severe depression was 19.2 %. Indians (aOR = 2.0), being married (aOR = 10.5), widowed & divorced (aOR = 5.2), having poor (aOR = 2.7) or moderate social support (aOR = 2.7), having no one (aOR = 2.9), relatives (aOR = 2.3) or religious figures & others (aOR = 1.9) as compared to a spouse as a source of emotional support, feeling extremely lonely (aOR = 3.4), not socially active (aOR = 2.3), cognitively impaired (aOR 2.5), activities limited due to illness or disability (aOR = 1.6) and poor sleep quality (aOR = 3.6) were significant predictor variables. The prevalence of severe depression was high. It is pertinent that older adults, especially those with risk factors identified in this study be screened for depression at every opportunity.

Observer variability of absolute and relative thrombus density measurements in patients with acute ischemic stroke

NARCIS (Netherlands)

Santos, Emilie M. M.; Yoo, Albert J.; Beenen, Ludo F.; Berkhemer, Olvert A.; den Blanken, Mark D.; Wismans, Carrie; Niessen, Wiro J.; Majoie, Charles B.; Marquering, Henk A.; Fransen, Puck S. S.; Beumer, Debbie; van den Berg, Lucie A.; Lingsma, Hester F.; Schonewille, Wouter J.; Vos, Jan Albert; Nederkoorn, Paul J.; Wermer, Marieke J. H.; van Walderveen, Marianne A. A.; Staals, Julie; Hofmeijer, Jeannette; van Oostayen, Jacques A.; Lycklama à Nijeholt, Geert J.; Boiten, Jelis; Brouwer, Patrick A.; Emmer, Bart J.; de Bruijn, Sebastiaan F.; van Dijk, Lukas C.; Kappelle, L. Jaap; Lo, Rob H.; van Dijk, Ewoud J.; de Vries, Joost; de Kort, Paul L. M.; van den Berg, Jan S. P.; A A M van Hasselt, Boudewijn; Aerden, Leo A. M.; Dallinga, René J.; Visser, Marieke C.; Bot, Joseph C. J.; Vroomen, Patrick C.; Eshghi, Omid; Schreuder, Tobien H. C. M. L.; Heijboer, Roel J. J.; Keizer, Koos; Tielbeek, Alexander V.; Hertog, Heleen M. Den; Gerrits, Dick G.; van den Berg-Vos, Renske M.; Karas, Giorgos B.; Steyerberg, Ewout W.; Flach, H. Zwenneke; Sprengers, Marieke E. S.; Jenniskens, Sjoerd F. M.; van den Berg, René; Koudstaal, Peter J.; van Zwam, Wim H.; Roos, Yvo B. W. E. M.; van der Lugt, Aad; van Oostenbrugge, Robert J.; Dippel, Diederik W. J.

2016-01-01

Thrombus density may be a predictor for acute ischemic stroke treatment success. However, only limited data on observer variability for thrombus density measurements exist. This study assesses the variability and bias of four common thrombus density measurement methods by expert and non-expert

Observer variability of absolute and relative thrombus density measurements in patients with acute ischemic stroke

NARCIS (Netherlands)

Santos, E.M.; Yoo, A.J.; Beenen, L.F.; Berkhemer, O.A.; Blanken, M.D. den; Wismans, C.; Niessen, W.J.; Majoie, C.B.; Marquering, H.A.; Dijk, E.J. van; et al.,

2016-01-01

INTRODUCTION: Thrombus density may be a predictor for acute ischemic stroke treatment success. However, only limited data on observer variability for thrombus density measurements exist. This study assesses the variability and bias of four common thrombus density measurement methods by expert and

Intracranial tumors in infants: long-term functional outcome, survival, and its predictors.

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Pillai, Shibu; Metrie, Mary; Dunham, Christopher; Sargent, Michael; Hukin, Juliette; Steinbok, Paul

2012-04-01

Intracranial tumors are rare in the first year of life. This study evaluates survival rates and functional outcomes of survivors at least 5 years after diagnosis and the predictors of this outcome. A retrospective chart review of all infants with a primary intracranial tumor was carried out. Radiology and pathology were re-reviewed. Outcome was assessed at 5 years or more after diagnosis using Bloom's categories (Bloom 1-2 = good outcome, the rest = poor outcome) and late effects severity scoring. Age, tumor location, size, extent of tumor resection, type of adjuvant therapy given, and WHO grade of tumor histology were evaluated as predictors of outcome. Among 35 infants, 20 (57%) survived, with 12 (34%) having a good outcome. Deficits among the survivors included neurological dysfunction in 14 (70%), visual impairment in 9 (45%), endocrine dysfunction in 5 (25%), and auditory disability in 3 (15%). Ten of the 20 survivors were either attending regular school or were engaged in a skilled job. At presentation, older age and an infratentorial location of the tumor are predictors of poor outcome. After histopathological diagnosis, the WHO grading of tumor is the only independent predictor of survival (p = 0.002) and functional outcome (p brain tumors (34%) had a good functional outcome and approximately a quarter of them (28%) were able to attend regular school or take up a skilled job. After tissue diagnosis, histological grade of tumor is the only independent predictor associated with outcome.

Introduction to statistical modelling 2: categorical variables and interactions in linear regression.

Science.gov (United States)

Lunt, Mark

2015-07-01

In the first article in this series we explored the use of linear regression to predict an outcome variable from a number of predictive factors. It assumed that the predictive factors were measured on an interval scale. However, this article shows how categorical variables can also be included in a linear regression model, enabling predictions to be made separately for different groups and allowing for testing the hypothesis that the outcome differs between groups. The use of interaction terms to measure whether the effect of a particular predictor variable differs between groups is also explained. An alternative approach to testing the difference between groups of the effect of a given predictor, which consists of measuring the effect in each group separately and seeing whether the statistical significance differs between the groups, is shown to be misleading. © The Author 2013. Published by Oxford University Press on behalf of the British Society for Rheumatology. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Clinical predictors of central sleep apnea evoked by positive airway pressure titration

Directory of Open Access Journals (Sweden)

Moro M

2016-07-01

Full Text Available Marilyn Moro,1 Karen Gannon,1 Kathy Lovell,1 Margaret Merlino,1 James Mojica,2 Matt T Bianchi,1,3 1Neurology Department, 2Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, USA; 3Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA Purpose: Treatment-emergent central sleep apnea (TECSA, also called complex apnea, occurs in 5%–15% of sleep apnea patients during positive airway pressure (PAP therapy, but the clinical predictors are not well understood. The goal of this study was to explore possible predictors in a clinical sleep laboratory cohort, which may highlight those at risk during clinical management.Methods: We retrospectively analyzed 728 patients who underwent PAP titration (n=422 split night; n=306 two-night. Demographics and self-reported medical comorbidities, medications, and behaviors as well as standard physiological parameters from the polysomnography (PSG data were analyzed. We used regression analysis to assess predictors of binary presence or absence of central apnea index (CAI ≥5 during split PSG (SN-PSG versus full-night PSG (FN-PSG titrations.Results: CAI ≥5 was present in 24.2% of SN-PSG and 11.4% of FN-PSG patients during titration. Male sex, maximum continuous positive airway pressure, and use of bilevel positive airway pressure were predictors of TECSA, and rapid eye movement dominance was a negative predictor, for both SN-PSG and FN-PSG patients. Self-reported narcotics were a positive predictor of TECSA, and the time spent in stage N2 sleep was a negative predictor only for SN-PSG patients. Self-reported history of stroke and the CAI during the diagnostic recording predicted TECSA only for FN-PSG patients.Conclusion: Clinical predictors of treatment-evoked central apnea spanned demographic, medical history, sleep physiology, and titration factors. Improved predictive models may be increasingly important as diagnostic and therapeutic modalities move away from the

Two pragmatic trials of treatment for shoulder disorders in primary care: generalisability, course, and prognostic indicators

NARCIS (Netherlands)

Thomas, E.; Windt-Mens, van der D.A.W.M.; Hay, E.M.; Smidt, N.; Dziedzic, K.; Bouter, L.M.; Croft, P.R.

2005-01-01

OBJECTIVE: To investigate predictors of long term prognosis in patients treated for shoulder pain in primary care. METHODS: Data were taken from two pragmatic randomised clinical trials investigating the effectiveness of conservative treatments for shoulder pain presenting to primary care. Shoulder

Predictors of Suicide Attempts in Clinically Depressed Korean Adolescents

Science.gov (United States)

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

Differential Predictors of Pain and Disability in Patients with Whiplash Injuries

Directory of Open Access Journals (Sweden)

Michael JL Sullivan

2002-01-01

Full Text Available The psychological predictors of pain and disability were examined in a sample of people who sustained whiplash injuries during rear-end motor vehicle accidents. Sixty-five patients referred to a specialty pain clinic with a diagnosis of whiplash injury completed measures of depression, anxiety, catastrophizing, pain and perceived disability. Regression analysis revealed that psychological variables accounted for 18% of the variance in pain ratings. The magnification subscale of the Pain Catastrophizing Scale was the only variable that contributed significant, unique variance to the prediction of pain. Psychological variables accounted for 37% of the variance in perceived disability scores. In the latter analysis, however, none of the independent variables contributed significant, unique variance to the prediction of perceived disability. Psychological variables accounted for significant variance in disability ratings, even when controlling for pain intensity. Discussion focuses on the need to draw clearer distinctions between determinants of pain and disability, and directions for interventions aimed at minimizing disability following whiplash injury are suggested.

The Effect of Religion on Candidate Preference in the 2008 and 2012 Republican Presidential Primaries.

Science.gov (United States)

Bradberry, Leigh A

2016-01-01

Thanks to the work of politics and religion scholars, we now know a lot about the relationship between religion and voting in American presidential general elections. However, we know less about the influence of religion on individual vote choice in presidential primaries. This article fills that gap by exploring the relationship between religion and candidate preference in the 2008 and 2012 Republican primaries. Using pre-Super Tuesday surveys conducted by the Pew Research Center, I find that the Republican candidate who most explicitly appealed to religious voters (Mike Huckabee in 2008 and Rick Santorum in 2012) was the preferred candidate of Republican respondents who attended religious services at the highest levels, and that as attendance increased, so did the likelihood of preferring that candidate. I also find that identification as a born again Christian mattered to candidate preference. Specifically, born again Christians were more likely than non-born again Christians to prefer Huckabee to Mitt Romney, John McCain and Ron Paul in 2008, and Santorum to Romney in 2012. Although ideology was not the primary subject of this article, I find that ideology was also a statistically significant predictor of Republican candidate preference in both 2008 and 2012. This robust finding reinforces scholars' prior work on the importance of ideology in explaining presidential primary vote choice. The overall findings of the paper provide evidence that religion variables can add to our understanding of why voters prefer one candidate over another in presidential primaries.

The value of reproductive tract scoring as a predictor of fertility and production outcomes in beef heifers.

Science.gov (United States)

Holm, D E; Thompson, P N; Irons, P C

2009-06-01

In this study, 272 beef heifers were studied from just before their first breeding season (October 15, 2003), through their second breeding season, and until just after they had weaned their first calves in March, 2005. This study was performed concurrently with another study testing the economic effects of an estrous synchronization protocol using PG. Reproductive tract scoring (RTS) by rectal palpation was performed on the group of heifers 1 d before the onset of their first breeding season. The effect of RTS on several fertility and production outcomes was tested, and the association of RTS with the outcomes was compared with that of other input variables such as BW, age, BCS, and Kleiber ratio using multiple or univariable linear, logistic, or Cox regression. Area under the curve for receiver operating characteristic analysis was used to compare the ability of different input variables to predict pregnancy outcome. After adjustment for BW and age, RTS was positively associated with pregnancy rate to the 50-d AI season (P Reproductive tract scoring was a better predictor of fertility than was Kleiber ratio and similar in its prediction of calf weaning weight. It was concluded from this study that RTS is a predictor of heifer fertility, compares well with other traits used as a predictor of production outcomes, and is likely to be a good predictor of lifetime production of the cow.

Using the Theory of Planned Behavior to Identify Predictors of Oral Hygiene: A Collection of Unique Behaviors.

Science.gov (United States)

Brein, Daniel J; Fleenor, Thomas J; Kim, Soo-Woo; Krupat, Edward

2016-03-01

This study aims to identify predictors of performed oral hygiene behaviors (OHBs) based on the Theory of Planned Behavior (TPB), oral health knowledge, and demographic factors. Using a questionnaire, 381 participants in three general dental offices and one hospital dental department in York, Pennsylvania, were surveyed regarding performed OHB, attitudes, subjective norms, perceived behavioral control, oral health knowledge, income, age, and sex. Three unique elements of OHB were identified for analysis: brushing, interdental cleaning, and tongue cleaning. Regression analysis revealed that attitude was the strongest predictor of brushing behavior, followed by oral health knowledge, perceived behavior control, subjective norms, and income. Perceived behavior control was the strongest predictor of interdental cleaning, followed by increased age and attitude. Female sex was the strongest predictor of tongue cleaning, followed by subjective norms, decreased age, and perceived behavior control. Respectively, these three groups of predictive variables explained 22.5% of brushing behavior, 22.7% of interdental cleaning behavior, and 9.5% of tongue cleaning behavior. The present findings highlight the utility of viewing OHB as a set of unique behaviors with unique predictive variables and provide additional support for use of TPB in predicting OHB. Periodontal practitioners should consider the strong associations of attitude and perceived behavioral control with brushing and interdental cleaning behaviors when designing interventional efforts to improve patient home care.

Developing models to predict 8th grade students' achievement levels on timss science based on opportunity-to-learn variables

Science.gov (United States)

Whitford, Melinda M.

Science educational reforms have placed major emphasis on improving science classroom instruction and it is therefore vital to study opportunity-to-learn (OTL) variables related to student science learning experiences and teacher teaching practices. This study will identify relationships between OTL and student science achievement and will identify OTL predictors of students' attainment at various distinct achievement levels (low/intermediate/high/advanced). Specifically, the study (a) address limitations of previous studies by examining a large number of independent and control variables that may impact students' science achievement and (b) it will test hypotheses of structural relations to how the identified predictors and mediating factors impact on student achievement levels. The study will follow a multi-stage and integrated bottom-up and top-down approach to identify predictors of students' achievement levels on standardized tests using TIMSS 2011 dataset. Data mining or pattern recognition, a bottom-up approach will identify the most prevalent association patterns between different student achievement levels and variables related to student science learning experiences, teacher teaching practices and home and school environments. The second stage is a top-down approach, testing structural equation models of relations between the significant predictors and students' achievement levels according.

Body shape indices are predictors for estimating fat-free mass in male athletes

Science.gov (United States)

Aoki, Toru; Komori, Daisuke; Oyamada, Kazuyuki; Murata, Kensuke; Fujita, Eiji; Akamine, Takuya; Urita, Yoshihisa; Yamamoto, Masayoshi

2018-01-01

It is unknown whether body size and body shape parameters can be predictors for estimating whole body fat-free mass (FFM) in male athletes. This study aimed to investigate whether body size and shape variables can be predictors for FFM in male athletes. Using a whole-body dual-energy X-ray absorptiometry scanner, whole body fat mass (FM) and FFM were determined in 132 male athletes and 14 sedentary males. The sample was divided into two groups: validation (N = 98) and cross-validation (N = 48) groups. Body height (BH), body mass (BM), and waist circumference at immediately above the iliac crest (W) were measured. BM-to-W and W-to-BH ratios were calculated as indices of body shapes. Stepwise multiple regression analysis revealed that BM/W and W/BH were selected as explainable variables for predicting FFM. The equation developed in the validation group was FFM (kg) = 0.883 × BM/W (kg/m) + 43.674 × W/BH (cm/cm)– 41.480 [R2 = 0.900, SEE (%SEE) = 2.3 kg (3.8%)], which was validated in the cross-validation group. Thus, the current results demonstrate that an equation using BM/W and W/BH as independent variables is applicable for predicting FFM in male athletes. PMID:29346452

Defect occurrence, detection, location and characterization; essential variables of the LBB concept application to primary piping

Energy Technology Data Exchange (ETDEWEB)

Crutzen, S.; Koble, T.D.; Lemaitre, P. [and others

1997-04-01

Applications of the Leak Before Break (LBB) concept involve the knowledge of flaw presence and characteristics. In Service Inspection is given the responsibility of detecting flaws of a determined importance to locate them precisely and to classify them in broad families. Often LBB concepts application imply the knowledge of flaw characteristics such as through wall depth; length at the inner diameter (ID) or outer diameter (OD) surface; orientation or tilt and skew angles; branching; surface roughness; opening or width; crack tip aspect. Besides detection and characterization, LBB evaluations consider important the fact that a crack could be in the weld material or in the base material or in the heat affected zone. Cracks in tee junctions, in homogenous simple welds and in elbows are not considered in the same way. Essential variables of a flaw or defect are illustrated, and examples of flaws found in primary piping as reported by plant operators or service vendors are given. If such flaw variables are important in the applications of LBB concepts, essential is then the knowledge of the performance achievable by NDE techniques, during an ISI, in detecting such flaws, in locating them and in correctly evaluating their characteristics.

Modeling Daily Rainfall Conditional on Atmospheric Predictors: An application to Western Greece

Science.gov (United States)

Langousis, Andreas; Kaleris, Vassilios

2013-04-01

Due to its intermittent and highly variable character, daily precipitation is the least well reproduced hydrologic variable by both General Circulation Models (GCMs) and Limited Area Models (LAMs). To that extent, several statistical procedures (usually referred to as downscaling schemes) have been suggested to generate synthetic rainfall time series conditional on predictor variables that are descriptive of the atmospheric circulation at the mesoscale. In addition to be more accurately simulated by GCMs and LAMs, large-scale atmospheric predictors are important indicators of the local weather. Currently used downscaling methods simulate rainfall series using either stable statistical relationships (usually referred to as transfer functions) between certain characteristics of the rainfall process and mesoscale atmospheric predictor variables, or simple stochastic schemes (e.g. properly transformed autoregressive models) with parameters that depend on the large-scale atmospheric conditions. The latter are determined by classifying large-scale circulation patterns into broad categories of weather states, using empirical or theoretically based classification schemes, and modeled by resampling from those categories; a process usually referred to as weather generation. In this work we propose a statistical framework to generate synthetic rainfall timeseries at a daily level, conditional on large scale atmospheric predictors. The latter include the mean sea level pressure (MSLP), the magnitude and direction of upper level geostrophic winds, and the 500 hPa geopotential height, relative vorticity and divergence. The suggested framework operates in continuous time, avoiding the use of transfer functions, and weather classification schemes. The suggested downscaling approach is validated using atmospheric data from the ERA-Interim archive (see http://www.ecmwf.int/research/era/do/get/index), and daily rainfall data from Western Greece, for the 14-year period from 01 October

Lymph node density as a prognostic predictor in patients with betel nut-related oral squamous cell carcinoma.

Science.gov (United States)

Chang, Wei-Chin; Lin, Chun-Shu; Yang, Cheng-Yu; Lin, Chih-Kung; Chen, Yuan-Wu

2018-04-01

Lymph node metastasis in oral squamous cell carcinoma (OSCC) is a poor prognostic factor. The histopathologic stage (e.g., pN) is used to evaluate the severity of lymph node metastasis; however, the current staging system insufficiently predicts survival and recurrence. We investigated clinical outcomes and lymph node density (LND) in betel nut-chewing individuals. We retrospectively analyzed 389 betel nut-exposed patients with primary OSCC who underwent surgical resection in 2002-2015. The prognostic significance of LND was evaluated by overall survival (OS) and disease-free survival (DFS) using the Kaplan-Meier method. Kaplan-Meier analyses showed that the 5-year OS and DFS rates in all patients were 60.9 and 48.9%, respectively. Multivariate analysis showed that variables independently prognostic for OS were aged population (hazard ratio [HR] = 1.6, 95% confidence interval [95% CI] = 1.1-2.5; P = .025), and cell differentiation classification (HR = 2.4, 95% CI = 1.4-4.2; P = .002). In pathologic N-positive patients, a receiver operating characteristic (ROC) curve for OS was used and indicated the best cutoff of 0.05, and the multivariate analysis showed that LND was an independent predictor of OS (HR = 2.2, 95% CI = 1.3-3.7; P = .004). Lymph node density, at a cutoff of 0.05, was an independent predictor of OS and DFS. OS and DFS underwent multiple analyses, and LND remained significant. The pathologic N stage had no influence in the OS analysis. LND is a more reliable predictor of survival in betel nut-chewing patients for further post operation adjuvant treatment, such as reoperation or adjuvant radiotherapy.

Social anxiety symptoms in alcohol-dependent outpatients: prevalence, severity and predictors

OpenAIRE

Yoshimi, Nicoli Tamie; Campos, Luana Moraes; Simão, Maria Odete; Torresan, Ricardo Cezar; Torres, Albina Rodrigues

2016-01-01

ABSTRACT Objectives High rates of comorbidity between social anxiety disorder (SAD) and alcohol use disorders have been reported, but the predictors of this comorbidity are poorly known and most studies involve primary SAD samples. The aims were to estimate the prevalence and severity of SAD symptoms among alcohol-dependent patients and to investigate sociodemographic and clinical factors associated with SAD comorbidity, including suicidal behaviors. Methods A cross-sectional study with 5...

A Latent-Variable Causal Model of Faculty Reputational Ratings.

Science.gov (United States)

King, Suzanne; Wolfle, Lee M.

A reanalysis was conducted of Saunier's research (1985) on sources of variation in the National Research Council (NRC) reputational ratings of university faculty. Saunier conducted a stepwise regression analysis using 12 predictor variables. Due to problems with multicollinearity and because of the atheoretical nature of stepwise regression,…

Guidelines for the Investigation of Mediating Variables in Business Research

OpenAIRE

MacKinnon, David P.; Coxe, Stefany; Baraldi, Amanda N.

2011-01-01

Business theories often specify the mediating mechanisms by which a predictor variable affects an outcome variable. In the last 30 years, investigations of mediating processes have become more widespread with corresponding developments in statistical methods to conduct these tests. The purpose of this article is to provide guidelines for mediation studies by focusing on decisions made prior to the research study that affect the clarity of conclusions from a mediation study, the statistical mo...

Neutrophil-to-lymphocyte ratio as a predictor of worsening renal function in diabetic patients (3-year follow-up study).

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Azab, Basem; Daoud, Jacques; Naeem, Fahad Ben; Nasr, Rabih; Ross, Jennifer; Ghimire, Pratima; Siddiqui, Ayesha; Azzi, Nadine; Rihana, Nancy; Abdallah, Marie; Azzi, Nassif; Patel, Parishram; Kleiner, Morton; El-Sayegh, Suzanne

2012-01-01

Previous studies have demonstrated the role of inflammation in diabetic nephropathy (DN). Neutrophil to lymphocyte ratio (NLR) rather than other white cell parameters was found to be a useful inflammatory marker to predict adverse outcomes in medical and surgical conditions. Nevertheless, the value of NLR in predicting DN has not been elucidated. An observational study included 338 diabetic patients, who were followed at our clinic between 2007 and 2009. We arranged our patients into tertiles according to their 2007 NLR. The primary outcome was continuous decrease of GFR >12 mL/min between 2007 and 2009 with the last GFR <60 mL/min. The lowest NLR tertile had fewer patients (2.7%) with primary outcome (i.e., worsening renal function) compared with middle and highest NLR tertiles, which had more patients with primary outcomes (8.7% and 11.5%, respectively) with a significant p-value 0.0164. When other potential confounders were individually analyzed with NLR tertile, the NLR tertiles remained a significant predictor of poor GFR outcome in the presence of other variables (hemoglobin A1C, systolic blood pressure, diastolic blood pressure, age, and congestive heart failure with p-values 0.018, 0.019, 0.017, 0.033, and 0.022, respectively). NLR predicted the worsening of the renal function in diabetic patients. Further studies are needed to confirm this result.

Predictors of Hearing Protection Use Among Industrial Workers.

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Tantranont, Kunlayanee; Codchanak, Nuntanat

2017-08-01

Promoting the use of hearing protection devices (HPDs) can prevent noise-induced hearing loss (NIHL) among workers who are exposed to excessive noise. In the present study, the authors examine factors that may explain HPD use among industrial workers from 15 manufacturing plants in Thailand. Participants consisted of 268 randomly selected workers exposed to harmful noise levels for which routine HPD use was required. Logistic regression analysis of study variables revealed the most powerful predictors of HPD use were perceived hearing status ( b = 0.66, p workers to use HPDs regularly.

A clinical prediction rule for detecting major depressive disorder in primary care : the PREDICT-NL study

NARCIS (Netherlands)

Zuithoff, Nicolaas P A; Vergouwe, Yvonne; King, Michael; Nazareth, Irwin; Hak, Eelko; Moons, Karel G M; Geerlings, Mirjam I

BACKGROUND: Major depressive disorder often remains unrecognized in primary care. OBJECTIVE: Development of a clinical prediction rule using easily obtainable predictors for major depressive disorder in primary care patients. METHODS: A total of 1046 subjects, aged 18-65 years, were included from

Prevalence and Religious Predictors of Healing Prayer Use in the USA: Findings from the Baylor Religion Survey.

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Levin, Jeff

2016-08-01

Using data from the 2010 Baylor Religion Survey (N = 1714), this study investigates the prevalence and religious predictors of healing prayer use among US adults. Indicators include prayed for self (lifetime prevalence = 78.8 %), prayed for others (87.4 %), asked for prayer (54.1 %), laying-on-of-hands (26.1 %), and participated in a prayer group (53.0 %). Each was regressed onto eight religious measures, and then again controlling for sociodemographic variables and health. While all religious measures had net effects on at least one healing prayer indicator, the one consistent predictor was a four-item scale assessing a loving relationship with God. Higher scores were associated with more frequent healing prayer use according to every measure, after controlling for all other religious variables and covariates.

Molecular Classification Substitutes for the Prognostic Variables Stage, Age, and MYCN Status in Neuroblastoma Risk Assessment

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Carolina Rosswog

2017-12-01

Full Text Available BACKGROUND: Current risk stratification systems for neuroblastoma patients consider clinical, histopathological, and genetic variables, and additional prognostic markers have been proposed in recent years. We here sought to select highly informative covariates in a multistep strategy based on consecutive Cox regression models, resulting in a risk score that integrates hazard ratios of prognostic variables. METHODS: A cohort of 695 neuroblastoma patients was divided into a discovery set (n = 75 for multigene predictor generation, a training set (n = 411 for risk score development, and a validation set (n = 209. Relevant prognostic variables were identified by stepwise multivariable L1-penalized least absolute shrinkage and selection operator (LASSO Cox regression, followed by backward selection in multivariable Cox regression, and then integrated into a novel risk score. RESULTS: The variables stage, age, MYCN status, and two multigene predictors, NB-th24 and NB-th44, were selected as independent prognostic markers by LASSO Cox regression analysis. Following backward selection, only the multigene predictors were retained in the final model. Integration of these classifiers in a risk scoring system distinguished three patient subgroups that differed substantially in their outcome. The scoring system discriminated patients with diverging outcome in the validation cohort (5-year event-free survival, 84.9 ± 3.4 vs 63.6 ± 14.5 vs 31.0 ± 5.4; P < .001, and its prognostic value was validated by multivariable analysis. CONCLUSION: We here propose a translational strategy for developing risk assessment systems based on hazard ratios of relevant prognostic variables. Our final neuroblastoma risk score comprised two multigene predictors only, supporting the notion that molecular properties of the tumor cells strongly impact clinical courses of neuroblastoma patients.

Molecular Classification Substitutes for the Prognostic Variables Stage, Age, and MYCN Status in Neuroblastoma Risk Assessment.

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Rosswog, Carolina; Schmidt, Rene; Oberthuer, André; Juraeva, Dilafruz; Brors, Benedikt; Engesser, Anne; Kahlert, Yvonne; Volland, Ruth; Bartenhagen, Christoph; Simon, Thorsten; Berthold, Frank; Hero, Barbara; Faldum, Andreas; Fischer, Matthias

2017-12-01

Current risk stratification systems for neuroblastoma patients consider clinical, histopathological, and genetic variables, and additional prognostic markers have been proposed in recent years. We here sought to select highly informative covariates in a multistep strategy based on consecutive Cox regression models, resulting in a risk score that integrates hazard ratios of prognostic variables. A cohort of 695 neuroblastoma patients was divided into a discovery set (n=75) for multigene predictor generation, a training set (n=411) for risk score development, and a validation set (n=209). Relevant prognostic variables were identified by stepwise multivariable L1-penalized least absolute shrinkage and selection operator (LASSO) Cox regression, followed by backward selection in multivariable Cox regression, and then integrated into a novel risk score. The variables stage, age, MYCN status, and two multigene predictors, NB-th24 and NB-th44, were selected as independent prognostic markers by LASSO Cox regression analysis. Following backward selection, only the multigene predictors were retained in the final model. Integration of these classifiers in a risk scoring system distinguished three patient subgroups that differed substantially in their outcome. The scoring system discriminated patients with diverging outcome in the validation cohort (5-year event-free survival, 84.9±3.4 vs 63.6±14.5 vs 31.0±5.4; P<.001), and its prognostic value was validated by multivariable analysis. We here propose a translational strategy for developing risk assessment systems based on hazard ratios of relevant prognostic variables. Our final neuroblastoma risk score comprised two multigene predictors only, supporting the notion that molecular properties of the tumor cells strongly impact clinical courses of neuroblastoma patients. Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

Procrastination and predictor variables among a group of dental students in Turkey.

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Atalayin, Cigdem; Balkis, Murat; Tezel, Huseyin; Kayrak, Gul

2018-07-01

The aim of this study was to assess the prevalence of procrastination among a group of Turkish dental students and to determine the predictors and consequences of procrastination. A total number of 273 females and 179 males (aged between 18 and 28) were included in the study. Tuckman procrastination scale, Academic Life Satisfaction Scale, Concern over Mistake Scale, Poor Time Management Scale, Self-Doubt Scale, Irrational Beliefs about Studying Scale, Positive and Negative Affect Schedule and Life Satisfaction Scale were used to gather data. Results indicated that 50% of participants were more likely to procrastinate their academic assignments or tasks. Procrastination score did not differ according to gender. The findings suggested that procrastinating students had a higher level of poor time management, self-doubt and irrational beliefs about studying, and poor academic performance and well-being than their non-procrastinating counterparts. Preventive strategies are necessary to overcome procrastination which affects the academic achievement, satisfaction, and well-being of dental students.

Predictors of Discharge to Home after Thrombolytic Treatment in Right Hemisphere Infarct Patients

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E-I. Ruuskanen

2010-01-01

Full Text Available Background The aim of the study was to assess the association between thrombolysis and length of hospital stay after right hemisphere (RH infarct, and to identify which cognitive functions were predictive of discharge. Methods The study group consisted of 75 acute RH patients. Thirty-three patients had thrombolysis. Neuropsychologicalexaminations were performed within 11 days of stroke onset. The cognitive predictors were visual neglect, visual memory, visual search and reasoning and visuoconstructive abilities. The outcome variable was time from stroke to discharge to home. Results Thrombolysis emerged as a statistically significant predictor of discharge time in patients with moderate/severe stroke (NIHSS ≥5. In the total series of patients and in patients with mild stroke (NIHSS <5, thrombolysiswas not significantly associated with discharge time. Milder visuoconstructive defects shortened the hospital stay of the whole patient group and of patients with moderate/severe stroke. In all patient groups, independence in activitiesof daily living (ADL was a significant single predictor of a shorter hospital stay. The best combination of predictors for discharge was independence in ADL in the total series of patients and in patients with mild stroke, and thrombolysis and independence in ADL in patients with moderate/severe stroke. Conclusions Thrombolytic treatment was a significant predictor of earlier discharge to home in patients with moderate/severe RH infarct, while cognitive functions had less predictive power.

Are Competition and Extrinsic Motivation Reliable Predictors of Academic Cheating?

OpenAIRE

Orosz, G?bor; Farkas, D?vid; Roland-L?vy, 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,...

Gender differences in the predictors of physical activity among assisted living residents.

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Chen, Yuh-Min; Li, Yueh-Ping; Yen, Min-Ling

2015-05-01

To explore gender differences in the predictors of physical activity (PA) among assisted living residents. A cross-sectional design was adopted. A convenience sample of 304 older adults was recruited from four assisted living facilities in Taiwan. Two separate simultaneous multiple regression analyses were conducted to identify the predictors of PA for older men and women. Independent variables entered into the regression models were age, marital status, educational level, past regular exercise participation, number of chronic diseases, functional status, self-rated health, depression, and self-efficacy expectations. In older men, a junior high school or higher educational level, past regular exercise participation, better functional status, better self-rated health, and higher self-efficacy expectations predicted more PA, accounting for 61.3% of the total variance in PA. In older women, better self-rated health, lower depression, and higher self-efficacy expectations predicted more PA, accounting for 50% of the total variance in PA. Predictors of PA differed between the two genders. The results have crucial implications for developing gender-specific PA interventions. Through a clearer understanding of gender-specific predictors, healthcare providers can implement gender-sensitive PA-enhancing interventions to assist older residents in performing sufficient PA. © 2015 Sigma Theta Tau International.

Predictors of patient dependence in mild-to-moderate Alzheimer's disease.

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Benke, Thomas; Sanin, Günter; Lechner, Anita; Dal-Bianco, Peter; Ransmayr, Gerhard; Uranüs, Margarete; Marksteiner, Josef; Gaudig, Maren; Schmidt, Reinhold

2015-01-01

Patient dependence has rarely been studied in mild-to-moderate Alzheimer's disease (AD). To identify factors which predict patient dependence in mild-to-moderate AD. We studied 398 non-institutionalized AD patients (234 females) of the ongoing Prospective Registry on Dementia (PRODEM) in Austria. The Dependence Scale (DS) was used to assess patient dependence. Patient assessment comprised functional abilities, neuropsychiatric symptoms and cognitive functions. A multiple linear regression analysis was performed to identify predictors of patient dependence. AD patients were mildly-to-moderately impaired (mean scores and SDs were: CDR 0.84 ± 0.43; DAD 74.4 ± 23.3, MMSE = 22.5 ± 3.6). Psychopathology and caregiver burden were in the low range (mean NPI score 13.2, range 0 to 98; mean ZBI score 18, range 0-64). Seventy five percent of patients were classified as having a mild level of patient dependence (DS sum score 0 to 6). Patient dependence correlated significantly and positively with age, functional measures, psychopathology and depression, disease duration, and caregiver burden. Significant negative, but low correlations were found between patient dependence, cognitive variables, and global cognition. Activities of daily living, patient age, and disease severity accounted for 63% of variance in patient dependence, whereas cognitive variables accounted for only 11%. Dependence in this cohort was mainly related to age and functional impairment, and less so to cognitive and neuropsychiatric variables. This differs from studies investigating patients in more advanced disease stages which found abnormal behavior and impairments of cognition as main predictors of patient dependence.

Predictors of Career Adaptability Skill among Higher Education Students in Nigeria

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Amos Shaibu Ebenehi

2016-12-01

Full Text Available This paper examined predictors of career adaptability skill among higher  education students in Nigeria. A sample of 603 higher education students randomly selected from six colleges of education in Nigeria participated in this study.  A set of self-reported questionnaire was used for data collection, and multiple linear regression analysis was used to analyze the data.  Results indicated that 33.3% of career adaptability skill was explained by the model.  Four out of the five predictor variables significantly predicted career adaptability skill among higher education students in Nigeria.  Among the four predictors, career self-efficacy sources was the most statistically significant predictor of career adaptability skill among higher education students in Nigeria, followed by personal goal orientation, career future concern, and perceived social support respectively.  Vocational identity did not statistically predict career adaptability skill among higher education students in Nigeria.  The study suggested that similar study should be replicated in other parts of the world in view of the importance of career adaptability skill to the smooth transition of graduates from school to the labor market.  The study concluded by requesting stakeholders of higher institutions in Nigeria to provide career exploration database for the students, and encourage career intervention program in order to enhance career adaptability skill among the students.

Predictors of response to cognitive behaviour therapy for obsessive-compulsive disorder

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Michael Kyrios

2015-01-01

Full Text Available La respuesta al tratamiento psicológico para el Trastorno Obsesivo-Compulsivo (TOC es variable, y las tasas de abandono y recaída son preocupantes. Mientras los estudios que analizan la reducción de los síntomas son favorables, los resultados son menos alentadores cuando estos se definen en términos de cambio clínicamente significativo. Existe poco conocimiento de lo que predice el resultado del tratamiento. Este estudio examinó predictores demográficos, sintomáticos y cognitivos de los resultados en 79 participantes en terapia cognitivo-conductual individualizada para el TOC. Después de investigar las diferencias entre los que completaron el tratamiento y no lo finalizaron, se analizó la respuesta al tratamiento según la definición de gravedad post-tratamiento de los síntomas y el cambio clínicamente fiable, así como predictores de la respuesta al tratamiento. Los que completaron el tratamiento eran menos propensos a presentar comorbilidad. Baja intensidad de síntomas en el pre-tratamiento y mayor perfeccionismo/intolerancia a la incertidumbre fueron los mejores predictores de los resultados. Los cambios en las creencias obsesivas se asociaron con el cambio sintomático, aunque sólo perfeccionismo/intolerancia a la incertidumbre fue predictor del cambio posttratamiento.

Clinical predictors of challenging atrioventricular node ablation procedure for rate control in patients with atrial fibrillation.

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Polin, Baptiste; Behar, Nathalie; Galand, Vincent; Auffret, Vincent; Behaghel, Albin; Pavin, Dominique; Daubert, Jean-Claude; Mabo, Philippe; Leclercq, Christophe; Martins, Raphael P

2017-10-15

Atrioventricular node (AVN) ablation is usually a simple procedure but may sometimes be challenging. We aimed at identifying pre-procedural clinical predictors of challenging AVN ablation. Patients referred for AVN ablation from 2009 to 2015 were retrospectively included. Baseline clinical data, procedural variables and outcomes of AVN ablation were collected. A "challenging procedure" was defined 1) total radiofrequency delivery to get persistent AVN block≥400s, 2) need for left-sided arterial approach or 3) failure to obtain AVN ablation. 200 patients were included (71±10years). A total of 37 (18.5%) patients had "challenging" procedures (including 9 failures, 4.5%), while 163 (81.5%) had "non-challenging" ablations. In multivariable analysis, male sex (Odds ratio (OR)=4.66, 95% confidence interval (CI): 1.74-12.46), body mass index (BMI, OR=1.08 per 1kg/m 2 , 95%CI 1.01-1.16), operator experience (OR=0.40, 95%CI 0.17-0.94), and moderate-to-severe tricuspid regurgitation (TR, OR=3.65, 95%CI 1.63-8.15) were significant predictors of "challenging" ablations. The proportion as a function of number of predictors was analyzed (from 0 to 4, including male sex, operator inexperience, a BMI>23.5kg/m 2 and moderate-to-severe TR). There was a gradual increase in the risk of "challenging" procedure with the number of predictors by patient (No predictor: 0%; 1 predictor: 6.3%; 2 predictors: 16.5%; 3 predictors: 32.5%; 4 predictors: 77.8%). Operator experience, male sex, higher BMI and the degree of TR were independent predictors of "challenging" AVN ablation procedure. The risk increases with the number of predictors by patient. Copyright © 2017. Published by Elsevier B.V.

Family and Cultural Predictors of Depression among Samoan American Middle and High School Students

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Yeh, Christine J.; Borrero, Noah E.; Tito, Patsy

2013-01-01

This study investigated family intergenerational conflict and collective self-esteem as predictors of depression in a sample of 128 Samoan middle and high school students. Simultaneous regression analyses revealed that each independent variable significantly contributed to an overall model that accounted for 13% of the variance in depression.…

Predictors of change in life skills in schizophrenia after cognitive remediation.

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Kurtz, Matthew M; Seltzer, James C; Fujimoto, Marco; Shagan, Dana S; Wexler, Bruce E

2009-02-01

Few studies have investigated predictors of response to cognitive remediation interventions in patients with schizophrenia. Predictor studies to date have selected treatment outcome measures that were either part of the remediation intervention itself or closely linked to the intervention with few studies investigating factors that predict generalization to measures of everyday life-skills as an index of treatment-related improvement. In the current study we investigated the relationship between four measures of neurocognitive function, crystallized verbal ability, auditory sustained attention and working memory, verbal learning and memory, and problem-solving, two measures of symptoms, total positive and negative symptoms, and the process variables of treatment intensity and duration, to change on a performance-based measure of everyday life-skills after a year of computer-assisted cognitive remediation offered as part of intensive outpatient rehabilitation treatment. Thirty-six patients with schizophrenia or schizoaffective disorder were studied. Results of a linear regression model revealed that auditory attention and working memory predicted a significant amount of the variance in change in performance-based measures of everyday life skills after cognitive remediation, even when variance for all other neurocognitive variables in the model was controlled. Stepwise regression revealed that auditory attention and working memory predicted change in everyday life-skills across the trial even when baseline life-skill scores, symptoms and treatment process variables were controlled. These findings emphasize the importance of sustained auditory attention and working memory for benefiting from extended programs of cognitive remediation.

Macrosomia Predictors in Infants Born to Cuban Mothers with Gestational Diabetes.

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Cruz, Jeddú; Grandía, Raiden; Padilla, Liset; Rodríguez, Suilbert; Hernández García, Pilar; Lang Prieto, Jacinto; Márquez-Guillén, Antonio

2015-07-01

INTRODUCTION Fetal macrosomia is the most important complication in infants of women with diabetes, whether preconceptional or gestational. Its occurrence is related to certain maternal and fetal conditions and negatively affects maternal and perinatal outcomes. The definitive diagnosis is made at birth if a newborn weighs >4000 g. OBJECTIVE Identify which maternal and fetal conditions could be macrosomia predictors in infants born to Cuban mothers with gestational diabetes. METHODS A case-control study comprising 236 women with gestational diabetes who bore live infants (118 with macrosomia and 118 without) was conducted in the América Arias University Maternity Hospital, Havana, Cuba, during 2002-2012. The dependent variable was macrosomia (birth weight >4000 g). Independent maternal variables included body mass index at pregnancy onset, overweight or obesity at pregnancy onset, gestational age at diabetes diagnosis, pregnancy weight gain, glycemic control, triglycerides and cholesterol. Fetal variables examined included third-semester fetal abdominal circumference, estimated fetal weight at ≥28 weeks (absolute and percentilized by Campbell and Wilkin, and Usher and McLean curves). Chi square was used to compare continuous variables (proportions) and the student t test (X ± SD) for categorical variables, with significance threshold set at p gestational diabetes diagnosis, total fasting cholesterol and hypercholesterolemia. The highest OR for macrosomia were for maternal hypertriglyceridemia (OR 4.80, CI 2.34-9.84), third-trimester fetal abdominal circumference >75th percentile (OR 7.54, CI 4.04-14.06), and estimated fetal weight >90th percentile by Campbell and Wilkin curves (OR 4.75, CI 1.42-15.84) and by Usher and McLean curves (OR 8.81, CI 4.25-18.26). CONCLUSIONS Most variables assessed were predictors of macrosomia in infants of mothers with gestational diabetes. They should therefore be taken into account for future studies and for patient management

Loving and Leaving Public Health: Predictors of Intentions to Quit Among State Health Agency Workers.

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Liss-Levinson, Rivka; Bharthapudi, Kiran; Leider, Jonathon P; Sellers, Katie

2015-01-01

State health agencies play a critical role in protecting and promoting the health and well-being of the people they serve. To be effective, they must maintain a highly skilled, diverse workforce of sufficient size and with proper training. The goal of this study was to examine demographics, job and workplace environment characteristics, job satisfaction, and reasons for initially joining the public health workforce as predictors of an employee's intentions to leave an organization within the next year. This study used a cross-sectional design. Respondents were selected on the basis of a stratified sampling approach, with 5 geographic (paired Health and Human Services [HHS] regions) as the primary strata. Balanced repeated replication was used as a resampling method for variance estimation. A logistic regression model was used to examine the correlates of intentions to leave one's organization within the next year. The independent variables included several measures of satisfaction, perceptions about the workplace environment, initial reasons for joining public health, gender, age, education, salary, supervisory status, program area, and paired HHS region. The sample for this study consisted of 10,246 permanently employed state health agency central office employees who responded to the Public Health Workforce Interests and Needs Survey (PH WINS). Considering leaving one's organization within the next year. Being a person of color, living in the West (HHS regions 9 and 10), and shorter tenure in one's current position were all associated with higher odds of intentions to leave an organization within the next year. Conversely, greater employee engagement, organizational support, job satisfaction, organization satisfaction, and pay satisfaction were all significant predictors of lower intentions to leave one's organization within the next year. Results from this study suggest several variables related to demographics, job characteristics, workplace environment, and

Work-home interface stress: an important predictor of emotional exhaustion 15 years into a medical career

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HERTZBERG, Tuva Kolstad; RØ, Karin Isaksson; VAGLUM, Per Jørgen Wiggen; MOUM, Torbjørn; RØVIK, Jan Ole; GUDE, Tore; EKEBERG, Øivind; TYSSEN, Reidar

2015-01-01

The importance of work-home interface stress can vary throughout a medical career and between genders. We studied changes in work-home interface stress over 5 yr, and their prediction of emotional exhaustion (main dimension of burn-out), controlled for other variables. A nationwide doctor cohort (NORDOC; n=293) completed questionnaires at 10 and 15 yr after graduation. Changes over the period were examined and predictors of emotional exhaustion analyzed using linear regression. Levels of work-home interface stress declined, whereas emotional exhaustion stayed on the same level. Lack of reduction in work-home interface stress was an independent predictor of emotional exhaustion in year 15 (β=−0.21, p=0.001). Additional independent predictors were reduction in support from colleagues (β=0.11, p=0.04) and emotional exhaustion at baseline (β=0.62, pseparate analyses, significant adjusted predictors were lack of reduction in work-home interface stress among women, and reduction of collegial support and lack of reduction in working hours among men. Thus, change in work-home interface stress is a key independent predictor of emotional exhaustion among doctors 15 yr after graduation. Some gender differences in predictors of emotional exhaustion were found. PMID:26538002

Predictors of Self-Directed Learning for Low-Qualified Employees: A Multi-Level Analysis