論文

査読有り
2013年2月

Shift Work and Diabetes Mellitus among Male Workers in Japan: Does the Intensity of Shift Work Matter?

ACTA MEDICA OKAYAMA
  • Katsuhiko Ika
  • ,
  • Etsuji Suzuki
  • ,
  • Toshiharu Mitsuhashi
  • ,
  • Soshi Takao
  • ,
  • Hiroyuki Doi

67
1
開始ページ
25
終了ページ
33
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.18926/AMO/49254
出版者・発行元
OKAYAMA UNIV MED SCHOOL

The purpose of this study was to examine the association between shift work and diabetes mellitus by separating shift workers according to the intensity of their shift work (seasonal shift work and continuous shift work). Between May and October 2009, we collected data from annual health checkups and questionnaires at a manufacturing company in Shizuoka, Japan. Questionnaires were returned by 1,601 workers (response rate: 96.2%, men/women = 1,314/287). Diabetes mellitus was defined as hemoglobin Alc >= 6.5% and fasting blood sugar >= 126 mg/dl. After exclusions, which included all the women and clerical workers because they did not work in shifts, we analyzed 475 skilled male workers. After adjusting for age, smoking status, frequency of alcohol consumption, and cohabitation status, odds ratios for diabetes mellitus were 0.98 (95% confidence interval [CI]: 0.28-4.81) and 2.10 (95% CI: 0.77-5.71) among seasonal shift workers and continuous shift workers, respectively, compared with non-shift workers. In an age-stratified analysis (< 45 years vs. >= 45 years), the association between continuous shift work and diabetes mellitus was more pronounced among older participants. Compared with non-shift workers, the risk of diabetes mellitus was increased among continuous shift workers, whereas its effect is limited among seasonal shift workers.

リンク情報
DOI
https://doi.org/10.18926/AMO/49254
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/23439506
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000316829900004&DestApp=WOS_CPL
ID情報
  • DOI : 10.18926/AMO/49254
  • ISSN : 0386-300X
  • PubMed ID : 23439506
  • Web of Science ID : WOS:000316829900004

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