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  • 标题:Job Stress among Japanese Full-Time Occupational Physicians
  • 本地全文:下载
  • 作者:Takashi SHIMIZU ; Masanori HIRO ; Norio MISHIMA
  • 期刊名称:Journal of Occupational Health
  • 印刷版ISSN:1341-9145
  • 电子版ISSN:1348-9585
  • 出版年度:2002
  • 卷号:44
  • 期号:5
  • 页码:348-354
  • DOI:10.1539/joh.44.348
  • 出版社:Japan Society for Occupational Health
  • 摘要:The present study investigated job stress and the factors influencing job stress among Japanese full-time occupational physicians(OPs). In 2000 we mailed self-administrated questionnaires to 716 full-time OPs who were members of “Sanyu-kai”, an organization of Japanese full-time occupational physicians in enterprises. The questionnaires included gender, marital status, age, main type of company work, the number of full-time OPs, the number of employees served, duration of work, tenure in the present company, and job stress questions. The job stress questions consisted of 15 items which were decided after discussion among 10 experienced full-time OPs. Three hundred and thirty-three (47%) of the OPs returned sufficiently complete questionnaires for analysis. Factor analysis of the job stress questions extracted three components; low understanding of occupational health services, conflicts between OPs and their partners, and discrepancies between their routine work and occupational health services. Multiple logistic regression was performed to estimate the odds ratio (ORs) for high job stress associated with age, gender, marital status, main type of work, duration of work, tenure and the number of employees. Males had less stress than females (OR=0.37, 95%CI=0.19-0.70). The 20-39-yr-old OPs had more stress than over 59-yr-old OPs (OR=2.8, 95%CI=1.5-5.6). Compared with those serving over 5, 000 employees, the OPs serving 2, 500 employees or fewer had less stress (ORs=0.43-0.52, ps<0.05). Our results indicated that job stress among Japanese full-time OPs was influenced by gender, age and the number of employees served.
  • 关键词:Full-time occupational physician;Job stress;Factor analysis;Multiple logistic regression
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