Shift work and the relationship with metabolic syndrome in Chinese aged workers

PLoS One. 2015 Mar 11;10(3):e0120632. doi: 10.1371/journal.pone.0120632. eCollection 2015.

Abstract

Background: Shift work is indicated to be associated with adverse metabolic disorders. However, potential effects of shift work on metabolic syndrome (MetS) and its components have not been well established.

Methods: In total, 26,382 workers from Dongfeng-Tongji Cohort were included in this study. Information on shift work history was gathered through questionnaires and metabolic traits were measured. Logistic regression models were used to calculate the odds ratio (OR) and 95% confidence interval (CI) for long-term shift work related with MetS and each component, respectively. Further stratification analysis was performed to detect the differences on MetS between female and male shift workers.

Results: Long-term shift work was associated with MetS without adjusting for any confounders. Compared with the group of non-shift work, the multivariate-adjusted ORs (95%CI) of MetS associated with 1-10, 11-20, and ≥20y of shift work were 1.05 (0.95-1.16), 1.14 (1.03-1.26), 1.16 (1.01-1.31), respectively. In female workers, we found a dose-response relationship that every 10 years increase in shift work was associated with a 10% (95% CI: 1%-20%) elevated OR of MetS, while no significant dose-response trend was found among male workers. Furthermore, shift work duration was significantly associated with ORs of high blood pressure (1.07, 1.01-1.13), long waist circumference (1.10, 1.01-1.20) and high glucose levels (1.09, 1.04-1.15). No significant association was observed between shift work and low HDL cholesterol) and raised triglyceride levels.

Conclusions: Long-term shift work was associated with metabolic syndrome and the association might differ by gender in retired workers. Applicable intervention strategies are needed for prevention of metabolic disorders for shift workers.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • China
  • Cross-Sectional Studies
  • Female
  • Humans
  • Logistic Models
  • Male
  • Metabolic Syndrome / physiopathology*
  • Middle Aged
  • Occupational Diseases / physiopathology*
  • Odds Ratio
  • Retrospective Studies
  • Sex Factors
  • Surveys and Questionnaires
  • Work Schedule Tolerance / physiology*

Grants and funding

The authors gratefully acknowledge the financial support provided by the National Basic Research Program of China (2011CB503804); The 111 project; the Program for Changjiang Scholars; Innovative Research Team in University; China Medical Board 12–13; and Graduates' Innovation Fund of Huazhong University of Science & Technology. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.