No abstract available.
Logistic Models*

No abstract available.
Logistic Models*

Humans ; Logistic Models

OBJECTIVES: The purpose of this study was to examine the occupational risk factors associated with musculoskeletal symptoms in public workers. METHODS: In November 2010, 544 participants anwered a survey that included questions on the participants' general characteristics, job-related factors, health-related behaviors, and psychosocial stress. We measured the relationship of risk factors to musculoskeletal symptoms using a logistic regression analysis. RESULTS: After adjusting for general characteristics, factors associated with occupational musculoskeletal symptoms were gender (OR=2.858, 95% CI=1.701~4.801), unnatural posture (OR=2.386, 95% CI=1.308~4.354), psychosocial stress (OR=4.051, 95% CI=1.336~12.282) and sleep quality (OR=1.672, 95% CI=1.052~2.660). CONCLUSIONS: These findings suggest that psychosocial stress levels and physical environment (especially in professions requiring an unnatural posture) are related to musculoskeletal symptoms in public workers.
Logistic Models ; Posture ; Risk Factors

PURPOSE: The purpose of this study was to examine the concordance between a checklist's categories of professor recommendation letters and characteristics of the self-introduction letter. METHODS: Checklists of professor recommendation letters were analyzed and classified into cognitive, social, and affective domains. Simple correlation was performed to determine whether the characteristics of the checklists were concordant with those of the self-introduction letter. The difference in ratings of the checklists by pass or fail grades was analyzed by independent sample t-test. Logistic regression analysis was performed to determine whether a pass or fail grade was influenced by ratings on the checklists. RESULTS: The Cronbach alpha value of the checklists was 0.854. Initiative, as an affective domain, in the professor's recommendation letter was highly ranked among the six checklist categories. Self-directed learning in the self-introduction letter was influenced by a pass or fail grade by logistic regression analysis (p<0.05). Successful applicants received higher ratings than those who failed in every checklist category, particularly in problem-solving ability, communication skills, initiative, and morality (p<0.05). CONCLUSION: There was a strong correlation between cognitive and affective characteristics in the professor recommendation letters and the sum of all characteristics in the self-introduction letter.
Checklist ; Learning ; Logistic Models ; Morals

This study was conducted to investigate sleep qualifies of manufacturing workers. The data were collected from the 479 manufacturing factory workers who were most 3 shift workers. The results obtained were as follows. The prevalence rate of sleep disorder was 32.8%, rate of difficulty in initiating sleep was 11.9%, that of difficulty in maintaining sleep was 6.1%, and that of early morning awakening was 6.9%. DisoTdeTs of difficulty in maintaining sleep was low in the age group of twenties and high in thirties. The gloup of sedative or alcohol use before sleep induction shewed high Prevalence Tate of sleep disorder. The group of satisfying for job or family had the lower rate of sleep disorder than the unsatisfying group. The rate of sleep disorder were low in the group of day sleeping, no physical pain. The variables such as day sleep, physical pain and job tenure showed statistical significance in the logistic regression of sleep disorder.
Humans ; Logistic Models ; Plants* ; Prevalence

OBJECTIVE: This study was performed to evaluate relationship of burdened work and musculoskeletal symptoms in small-to-medium sized enterprises. METHOD: After a questionnaire survey was administered to 9,950 workers in 122 workplace, 7,626 workers(76.6%) were finally selected for the study analysis. Industrial hygienists visited 122 small-to-medium sized enterprises to investigate the presence of burdened works within the workplace. The selection of jobs with significant burden was based on the Ministry of Labor's recent notification in 11 types of job description associated with musculoskeletal disorders. The subjects of this study were then divided into three categories. 1) non-burdened white collar workers, 2) non-burdened blue collar workers, and 3) burdened workers (include some VDT workers). Multiple logistic regression was used to evaluate the relationship between burdened work and musculoskeletal symptoms. RESULTS: The burdened workers reported significantly more musculoskeletal symptoms than non-burdened white collar workers and non-burdened blue collar workers(OR:1.57, 95% CI: 1.314-1.875). There was no significant difference in reports of musculoskeletal symptoms between non-burdened white and blue collar workers. CONCLUSION: To prevent or diminish musculoskeletal disorders in small-to-medium sized enterprises, we need to better manage burdened works.
Job Description ; Logistic Models ; Questionnaires

PURPOSE: The purpose of this study was to identify the influencing factors on the single and recurrent falls in community-dwelling older women. METHODS: Seventy eight volunteers aged over 65 were included in the study. The participants experienced at least one fall within the past one year. Data were measured on each participant from May 2007 to September 2007, collected using structured researcher-administered sheets and measuring their physical strengths and analyzed by descriptive statistics, t-test, chi-square test, Mann-Whitney U test and logistic regression analysis. RESULTS: The prevalence of recurrent falls were 53.8%. The level of education(Z = -2.455, p = .014) and the presence of spouse(chi-square = 4.843, p = .044) showed significant differences between the single-fall group and the recurrent-fall group in the study. Significantly predicting factor on the recurrent falls was the level of education and the variable explained 20.1% of variants in the occurrence of recurrent falls. CONCLUSION: Although a variety of factors affected the single fall in the elderly women, the level of education and the presence of spouse proved to be the significant factors in their recurrent falls. These factors proven to be significant as the result of this should be reflected in the development of effective programs for preventing the elderly from recurrent falls.
Aged ; Female ; Humans ; Logistic Models ; Prevalence ; Spouses

OBJECTIVE: Preliminary data indicate that predominant positive symptoms are predictive of subsequent treatment response, while negative and cognitive symptoms are associated with poor outcome. Purpose of the present study was to investigate the relation between the predominant clinical dimension, duration of illness and acute antipsychotic response in a sample of schizophrenic inpatients. METHODS: Fifty-one schizophrenic inpatients, receiving an antipsychotic mono-therapy, were dimensionally assessed at the admission in the Acute Psychiatric Unit of the University of Milan. Treatment response was selected as parameter of outcome and defined as a reduction >50% of baseline total The Positive and Negative Syndrome Scale (PANSS) score. Demographic and clinical variables between responders and non-responders were compared using one-way analysis of variance for continuous variables and chi2 test for dichotomous ones. Binary logistic regression was performed to find if dimensional scores and duration of illness were associated with acute antipsychotic response. RESULTS: A longer duration of illness was found in non-responders respect to responders (15.61 years vs. 8.28 years)(F=4.98, p=0.03). Higher scores on PANSS positive sub-scale (OR=1.3, p=0.03), lower scores on cognitive PANSS scores (OR=0.75, p=0.05) and shorter duration of illness (OR=0.93, p=0.04) were found to be predictive of acute antipsychotic response. CONCLUSION: These preliminary results show that a long duration of illness as well as a more severe cognitive impairment is predictive of treatment non-response, indicating a worse outcome for chronic patients with predominant cognitive symptoms.
Humans ; Inpatients ; Logistic Models ; Neurobehavioral Manifestations ; Schizophrenia

BACKGROUND: The aims of this study were to develop and internally and externally validate a prognostic model that can predict the benefit and harm of thrombolysis in patients with acute ischemic stroke and that may be used promptly in an emergency setting. METHODS: The data of a consecutive series of patients who were hospitalized to Seoul National University Bundang Hospital within 12 hours of stroke onset between January 2004 and March 2008 and with relevant ischemic lesions on diffusion-weighted MRI were used to develop and internally validate the prognostic model. The external validation was performed using the data of patients from five participating centers of the Clinical Research Center for Stroke that had been collected between April 2008 and September 2009. The score on the modified Rankin Disability Scale at 3 months was selected to determine the efficacy outcome, and the occurrence of symptomatic hemorrhagic transformation was used to evaluate the safety outcome. Prognostic models were constructed with logistic regression, and both internal and external validations were performed. RESULTS: The discriminative abilities of the efficacy model (C statistic=0.880) and the safety prognostic model (C statistic=0.864) were confirmed. External validation of both models revealed remarkably little degradation in the discrimination power (C statistic=0.835 and 0.822 for the efficacy and safety models, respectively). CONCLUSIONS: This study shows that the efficacy and safety prognostic models developed with basic clinical variables were reliably validated with independent data. Both models may be helpful to clinicians in the emergency setting to identify patients who would benefit from thrombolysis.
Discrimination (Psychology) ; Emergencies ; Humans ; Logistic Models ; Stroke