Job Characteristics Associated With Self-Rated Fair or Poor Health Among U.S. Workers

Am J Prev Med. 2017 Aug;53(2):216-224. doi: 10.1016/j.amepre.2017.03.023. Epub 2017 May 8.

Abstract

Introduction: Approximately 60% of the U.S. adult population is employed. Many aspects of a person's job may influence health, but it is unclear which job characteristics are most strongly associated with health at a population level. The purpose of this study was to identify important associations between job characteristics and workers' self-rated health in a nationally representative survey of U.S. workers.

Methods: Data from the 2010 National Health Interview Survey were used to calculate weighted prevalence rates for self-reported fair/poor health for five categories of job characteristics: occupation; pay/benefits (economic); work organization; chemical/environmental hazards; and psychosocial factors. Backward elimination methods were used to build a regression model for self-reported health with the significant job characteristics, adjusting for sociodemographic variables and health behaviors. Data were collected in 2010 and analyzed in 2012-2016.

Results: After adjusting for covariates, workers were more likely to have fair/poor health if they were employed in business operations occupations (e.g., buyers, human resources workers, event planners, marketing specialists; adjusted prevalence ratio [APR]=1.85, 95% CI=1.19, 2.88); had no paid sick leave (APR=1.35, 95% CI=1.11, 1.63); worried about becoming unemployed (APR=1.43, 95% CI=1.22, 1.69); had difficulty combining work and family (APR=1.23, 95% CI=1.01, 1.49); or had been bullied/threatened on the job (APR=1.82, 95% CI=1.44, 2.29).

Conclusions: Occupation, lack of paid sick leave, and multiple psychosocial factors were associated with fair/poor health among U.S. workers at the population level in 2010. Public health professionals and employers should consider these factors when developing interventions to improve worker health.

MeSH terms

  • Adult
  • Aged
  • Female
  • Health Surveys / statistics & numerical data*
  • Humans
  • Male
  • Middle Aged
  • Occupational Exposure / adverse effects
  • Occupational Exposure / statistics & numerical data*
  • Occupational Health / statistics & numerical data*
  • Occupations / economics
  • Occupations / statistics & numerical data*
  • Psychology
  • Self Report
  • Sick Leave / statistics & numerical data*
  • Workplace / economics
  • Workplace / organization & administration
  • Workplace / statistics & numerical data
  • Young Adult