Health quality survey of high-tech workers in Taiwan
| Autor: | CHUN-SHEN LI, 黎俊紳 |
|---|---|
| Rok vydání: | 2018 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 106 In order to understand the health status of workers in high-tech industries, this study explores the relationship between demographic variables and health status, estimates the possibilities of fatigue, burnout, stress or sleep quality of workers working in shift, and analyzes the relationship between fatigue, burnout, stress at work, quality of sleep and level of health. The characteristics and frequency of shifts in high-tech industries may have a potential impact on health. This study, based on literature review, collected suitable health scales and applied to workers aged between of 25 to 60 years (74 male and 126 female) from a high-tech factory in Northern Taiwan. Questionnaire was distributed to each worker that matched for workers’ sex and age. Five scales were used to differentiate fatigue, excessive degree of fatigue, stress level, health status and sleep quality. This study used Checklist Individual Strength (CIS), the Burnout and Stress Scale by Institute of Labor Occupational Safety and Health, 36-Item Short Form Survey (SF-36), Pittsburgh Sleep Quality Index (PSQI), in which a total of 200 reports were collected. Descriptive statistics, generalized linear models, Pearson correlation analysis, paired T test and decision tree analysis were used to analyze the data. The results shows that the overall fatigue and stress levels of the workers were normal and the excessive degree of fatigue was mild but with poor sleep quality (PSQI = 7.2), and general health (57.8), vitality (53.8), mental health (61 points) scored poorly among the participants. Excessive degree of fatigue, fatigue level, health status and sleep quality mostly affected by workplace stress that is mainly affected by health status. Compared with non-shift workers, job stress, health status, sleep quality, excessive degree of fatigue and fatigue level among shift workers were worse than those non-shift workers, in which the abnormal rate were also higher. The study suggests that the questionnaire can be simplified to improve its accuracy, moreover, increase the case numbers to improve the accuracy of questionnaire for health surveys. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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