Long work hours and decreased glomerular filtration rate in the Korean working population

Occup Environ Med. 2020 Oct;77(10):699-705. doi: 10.1136/oemed-2020-106428. Epub 2020 Jun 23.

Abstract

Objectives: We studied the association between long working hours and decreased kidney function, which was determined using estimated glomerular filtration rate (eGFR), among the working population in South Korea.

Methods: We analysed nationally representative cross-sectional data for 20 851 Korean workers ≥20 years of age. A negative binomial regression model was used to test differences in the prevalence of chronic kidney disease (eGFR <60 mL/min/1.73 m2) among workers divided into groups according to weekly working hours (<30, 30-40, 41-51 and ≥52 hours/week). Multivariate linear regression analysis was performed to investigate the association between weekly working hours and eGFR, with adjustments made for age, sex/gender, income, education, shift work, occupation, smoking, alcohol use, hypertension, diabetes mellitus, body mass index, systolic blood pressure, fasting blood glucose and total serum cholesterol.

Results: A 1-hour increase in weekly working hours was associated with 0.057 mL/min/1.73 m2 (95% CI 0.005 to 0.109) decrease in eGFR among participants who worked ≥52 hours/week. Among participants without hypertension or diabetes, a 1-hour increase in weekly working hours was significantly associated with 0.248 and 0.209 mL/min/1.73 m2 decrease in eGFR among participants who worked 30-40 hours/week and 41-51 hours/week, respectively.

Conclusion: Long working hours are associated with decreased kidney function. We expect that our findings could call for more research regarding this association and provide policy-oriented perspectives.

Keywords: renal; workload.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Body Mass Index
  • Cross-Sectional Studies
  • Female
  • Glomerular Filtration Rate*
  • Humans
  • Linear Models
  • Male
  • Middle Aged
  • Nutrition Surveys
  • Republic of Korea
  • Risk Factors
  • Surveys and Questionnaires
  • Time Factors*
  • Workload / psychology
  • Workload / standards*
  • Workload / statistics & numerical data