Working overtime and risk factors for coronary heart disease: a propensity score analysis based in the J-SHINE (Japanese Study of Stratification, Health, Income, and Neighborhood) study

Am J Ind Med. 2015 Feb;58(2):229-37. doi: 10.1002/ajim.22409.

Abstract

Background: Evidence on the causal relationship between working overtime and the risk of coronary heart disease is limited.

Methods: We surveyed 2355 workers in Japan and conducted propensity-matched logistic regression analysis, using propensity-matched 438 pairs, to evaluate the associations between working overtime (more than 50 hr per week) and coronary risk factors: physical inactivity, cigarette smoking, sleep deprivation (<5 hr/day), psychological stress, overweight/obesity, and excessive alcohol consumption. The exposure and outcomes were self-reported.

Results: Among 2355 workers, 476 participants worked overtime. Propensity-matched analysis revealed that the associations between working overtime and sleep deprivation (odds ratios (OR) and 95% confidence intervals: 2.33, 1.39-3.88) and high stress (2.13, 1.60-2.82). The associations between working overtime and physical inactivity, current smoking, and overweight/obesity were not statistically significant. Excessive alcohol consumption was inversely associated with working overtime.

Conclusions: Working overtime was positively associated with two coronary risk factors: sleep deprivation and increased psychological stress.

Keywords: cigarette smoking; excessive alcohol consumption; obesity; overweight; physical inactivity; psychological stress; sleep deprivation.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Alcohol Drinking / adverse effects
  • Coronary Disease / epidemiology*
  • Coronary Disease / etiology
  • Cross-Sectional Studies
  • Female
  • Humans
  • Japan / epidemiology
  • Logistic Models
  • Male
  • Middle Aged
  • Motor Activity
  • Odds Ratio
  • Overweight / complications
  • Propensity Score
  • Risk Factors
  • Self Report
  • Sleep Deprivation / complications
  • Smoking / adverse effects
  • Stress, Psychological / complications
  • Time Factors
  • Workload / statistics & numerical data*