Sara E Luckhaupt1, Toni Alterman2, Jia Li2, Geoffrey M Calvert2. 1. Division of Surveillance, Hazard Evaluations and Field Studies, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, Ohio. Electronic address: sluckhaupt@cdc.gov. 2. Division of Surveillance, Hazard Evaluations and Field Studies, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Cincinnati, Ohio.
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. Published by Elsevier Inc.
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. Published by Elsevier Inc.
Authors: Sara L Tamers; Ron Goetzel; Kevin M Kelly; Sara Luckhaupt; Jeannie Nigam; Nicolaas P Pronk; Diane S Rohlman; Sherry Baron; Lisa M Brosseau; Tim Bushnell; Shelly Campo; Chia-Chia Chang; Adele Childress; L Casey Chosewood; Thomas Cunningham; Linda M Goldenhar; Terry T-K Huang; Heidi Hudson; Laura Linnan; Lee S Newman; Ryan Olson; Ronald J Ozminkowski; Laura Punnett; Anita Schill; Juliann Scholl; Glorian Sorensen Journal: J Occup Environ Med Date: 2018-11 Impact factor: 2.162