No abstract available.
Logistic Models*

No abstract available.
Logistic Models*

Humans ; Logistic Models

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 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

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

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

OBJECTIVES: The aim of this study was to investigate the relationship between metabolic syndrome and cognitive functions among chronic schizophrenia patients. METHODS: The survey participants were 105(40 metabolic syndrome and 65 non-metabolic syndrome) chronic schizophrenia patients at Yang-san Hospital. Each score of cognitive test(A Korean version of the Consortium to Establish a Registry for Alzheimer's Disease Assessment Packet, stroop test), Positive and Negative Syndrome Scale, Hamilton rating scale for Depression were assessed. Statistical analysis of the relationship between various tests of A Korean version of the Consortium to Establish a Registry for Alzheimer's Disease Assessment Packet and metabolic syndrome were performed using ANCOVA and logistic regression. RESULTS: Schizophrenia patients with lower score on construction praxia were likely to be included in Metabolic syndrome group. However, there were no significant relationships in other tests between the two groups. CONCLUSION: This study found metabolic syndrome caused cognitive decline in chronic schizophrenia patients, especially Construction praxia. This study could be a basis to show metabolic syndrome has to be treated appropriately in schizophrenia patients and suggests the necessity of following longitudinal designed study.
Alzheimer Disease ; Depression ; Humans ; Logistic Models ; Schizophrenia*

PURPOSE: The purpose of this study is to discover the influence of the working conditions on women workers' occupational stress. METHODS: Descriptive method is used to identify women's stress depending on their general working features and conditions by conducting a survey of them in women-dominated service industries. SPSS 18.0 program is used for data analysis and descriptive statistics is presented with standard deviation, frequency and percentage. chi2-test is used as an analysis tool. To figure out factors that influence their stress, logistic regression analysis is used for general features and working conditions as independent variables, and occupational stress as a dependent variable. RESULTS: As a result, among the independent variables, employment status, weekly working hours, career, shiftwork, and work-family-balance are meaningful factors that influence their stress. Temporary workers' stress is 3.65 times higher (p<.001), and workers working over 48 hours a week have 1.97 times higher stress (p<.003). Workers with over 5 years' career are under 1.73 times higher stress (p<.046) and shift workers are under 3.51 times higher stress (p<.001). Work family balance results in 1.93 times higher stress (p<.009). CONCLUSION: It is necessary to seek how to prevent and manage women workers' stress considering features.
Employment ; Female ; Humans ; Logistic Models ; Statistics as Topic