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2 "absenteeism"
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Effects of Job Strains on Absenteeism from Work.
Bong Suk Cha, Sang Baek Koh, Sei Jin Chang, Hong Ryul Choi, Hyong Sik Kim
Korean J Prev Med. 1999;32(4):505-512.
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OBJECTIVES
The purpose of this study was to assess the relationship between job strains and absenteeism from work. METHODS: The study design was cross-sectional, and the study subjects consisted of 1,166 workers who were employed in the small-sized industries. A self administered questionnaire was used to measure the general characteristics, job characteristics(job demand, job control), and social support(coworker support, supervisor support) at work. The Job Content Questionnaire(JCQ) was used to assess job demand(2 items) and decision lattitude(10 items). Social support at work (10 items) was measured using JCQ. Sick absence was collected using self-report and were rechecked by the attendance record of their company. Odds ratios and 95% confidence intervals for the association between job strain and sick absence were estimated. The modifying effect of social support was evaluated by stratification. Logistic regression was used to estimate the relationship between job strain and sick absence. RESULTS: In the bivariate analysis, the variables related to sick absence were age, marital status, occupation, job demand. Four distinctly different kinds of level of job strain were generated by the combination of job demand and job control: low strain group, high strain group, active group, and passive group. The crude odds ratio of high job strain was 1.78(95% CI: 1.26-2.53), and those of active group and passive group were 1.33(95% CI: 1.07-1.66) and 1.13 (95% CI: 0.88-1.47), respectively. The odds ratio of high job strain after adjusting for age and occupation were still significant. The odds ratio of high job strain in low social support was 5.96(95% CI: 2.45-14.51), but that in high social support was 0.73(95% CI: 0.26-2.01). CONCLUSIONS: Job strain was associated with increased risk of absenteeism from work, and social support at work modified the association between job strain and sick absence.
Summary
A Study On The Factors Of Absenteeism Among The Manufacturing Workers.
Dong Bae Lee, Tae Yong Lee, Young Chae Cho, Young Soo Lee, Jang Kyun Oh, Am Park
Korean J Prev Med. 1993;26(4):574-586.
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This study was to examine the actual conditions and contributing factors of absenteeism in manufacturing workers. Subjects were 1,184 workers employed in Taejon city and the observation period for absenteeism was 3 months (June to August), 1992. We obtained the following results. 1. Percentage of the absentees among the studied subjects were 21.1% in gross absence and 6.9% in sickness absence. Gross absence rate of subjects was 1.2% and sickness absence rate was 0.5%. 2. In the group of absentees, mean days of absence was 2.8 days and those of sickness was 4.4 days. Mean days of sickness absence due to injury was higher than that of illness, but the total days of sickness absence was high in extremity injuries, trunk injury, general fatigue, head injury, musculoskeletal problem in that order. 3. Variables contributing to the absence were job classification, education level, working hours per day, exposure of noxious factor, worker classification. 4. In the group of absentees, variables influencing the gross absence rate were working atmosphere, body mass index, working environment, working hours per day but those of the sickness absence were working hours per day, education level and working atmosphere.
Summary

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