No abstract available.
Logistic Models*

No abstract available.
Logistic Models*

Humans ; Logistic Models

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

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

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

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

PURPOSE: The study was performed to investigate the predictors associated transition with each stage of exercise behavior based to the Transtheoretical Model, and to provide basic data for exercise behavior programs for middle aged women. Methods: The subjects consisted of 434 women residing in B city by convenience sampling. The collected data were analyzed with multiple logistic regression using SPSS/WIN program. RESULTS: The predictors of transition from precontemplation to contemplation were consciousness raising(OR=2.095, 95% CI: 1.305-3.363), Reinforcement management(OR= 1.903, 95% CI: 1.107-3.271), Stimulus control (OR=2.176, 95% CI:1.239-3.820), Menstrual status (OR=5.327, 95% CI: 1.110-25.562). The predictors of transition from contemplation to preparation were Helping relationship(OR= 1.671, 95% CI: 1.065-2.662), Pros(OR=2.500, 95% CI: 1.254-4.982), Perceived Health status (OR=.178, 95% CI: .041-.770). The predictor of transition from preparation to action was Stimulus control(OR=1.918, 95% CI: 1.103- 3.336). The predictors of transition from action to maintenance were Consciousness raising(OR= 1.939, 95% CI: 1.031-3.647), Dramatic relief (OR=2.249, 95% CI: 1.025-4.931). CONCLUSIONS: Adequate examination on the factors, which can predict the transitional stages of change exercise behaviors among middle aged women, which is presented in this study. The results of this study will become the pillar of exercise intervention program planning and application.
Consciousness ; Female ; Humans ; Logistic Models ; Middle Aged*

PURPOSE: The purpose of this study was to investigate the effects of job stress and support from supervisors on depression of care givers in elderly care facilities. METHODS: Subjects were 191 care givers working in elderly care facilities in K-Province in Korea. Data were collected from self-administered questionnaires. Descriptive statistics, chi2 test, t-test, F-test, Pearson's and Spearman's correlation coefficients, and hierarchical multiple logistic regression with dummy variables were used for statistical analysis of data. RESULTS: Job stress measured with Korean Occupational Stress Scale was 56.16+/-5.88. Emotional and instrumental support from supervisors were 37.05+/-7.30 and 32.39+/-7.34, respectively. After controlling for general characteristics, job stress was significantly related to depression (OR: 1.07, 95% CI: 1.01~1.14). However, job stress became non-significant in the model that included instrumental support from supervisors. Not emotional but instrumental support from supervisors was significantly related to depression of care givers (OR: 0.93, 95% CI: 0.88~0.99). CONCLUSION: Results of this study suggest that job stress has negative effects and instrumental support from supervisors has protective effects on depression of care givers in elderly care facilities. Therefore, measures to increase instrumental support by supervisors should be developed to improve psychological health of care givers in elderly care facilities.
Aged* ; Caregivers* ; Depression* ; Humans ; Korea ; Logistic Models

BACKGROUND: This research was conducted with an aim of determining the association between employment status and self-rated health. METHODS: Using the data from the Third Korean Working Conditions Survey conducted in 2011, We included data from 34,783 respondents, excluding employers, self-employed workers, unpaid family workers, others. Self-rated health was compared according to employment status and a logistic regression analysis was performed. RESULTS: Among the 34,783 workers, the number of permanent and non-permanent workers was 27,564 (79.2 %) and 7,219 (20.8 %). The risk that the self-rated health of non-permanent workers was poor was 1.20 times higher when both socio-demographic factors, work environment and work hazards were corrected. CONCLUSIONS: In this study, perceived health was found to be worse in the non-permanent workers than permanent workers. Additional research should investigate whether other factors mediate the relationship between employment status and perceived health.
Employment* ; Humans ; Logistic Models ; Surveys and Questionnaires