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  • 标题:Night-shift work and risk of compromised visual acuity among the workers in an electronics manufacturing company
  • 本地全文:下载
  • 作者:Yu-Cheng Lin ; Yu-Cheng Lin ; Kuo-Jung Ho
  • 期刊名称:International Journal of Occupational Medicine and Environmental Health
  • 印刷版ISSN:1232-1087
  • 电子版ISSN:1896-494X
  • 出版年度:2018
  • 卷号:31
  • 期号:1
  • 页码:71-79
  • DOI:10.13075/ijomeh.1896.01020
  • 语种:English
  • 出版社:Walter de Gruyter GmbH
  • 摘要:Objectives To evaluate the association between night-shift work exposure and visual health, this cross-sectional study utilized visual acuity, a surrogate measure for visual function, as a parameter, and performed an analysis comparing visual acuity between daytime and nighttime employees in an electronics manufacturing company. Material and Methods Data of personal histories, occupational records, physical examinations and blood tests was obtained from the electronic health records of workers. The total of 8280 workers including 3098 women and 5182 men, wearing their own daily used eyeglasses, were included in the final analysis. The mean age of the sample population was 34.7 years old (standard deviation = 5.4 years). All workers were divided into 3 work categories – consistent daytime worker (CDW), day-shift worker (DSW) and night-shift worker (NSW). The check-up results of glasses-corrected visual acuity (c-VA) were utilized to classify individuals as good (≥ 1.2, both eyes) and inadequate (< 0.8, the better eye) c-VA. Results Consistent daytime workers had the highest rate of good c-VA (42.5% vs. 25.1% DSW and 21.1% NSW, p = 0.047). Night-shift workers had the highest rate of inadequate c-VA (CDW, DSW and NSW: 2.6%, 6.2%, and 7.6%, p = 0.03) among all employees. After controlling for covariates, NSW were found at an increased risk for inadequate c-VA (adjusted odds ratio (ORa) = 2.7, 95% confidence interval (CI): 2.0–3.6, vs. CDW), and less likely to have good c-VA (ORa = 0.4, 95% CI: 0.4–0.5, vs. CDW). Conclusions Night-shift work is moderately associated with compromised visual acuity of employees in this electronics manufacturing company. Int J Occup Med Environ Health 2018;31(1):71–79
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