LAUSR

OBJECTIVES To examine work characteristics in relation to body mass index (BMI) and risk of obesity. METHODS We analyzed data from 1150 participants working 20+ h week-1 from the 2014 National NIOSH Quality of Work Life Survey, based on a representative sample of US workers. We used multiple linear regression for BMI and multiple logistic regression for obesity to estimate associations with 19 different work characteristics plus one set of occupational categories controlling for age, gender, race/ethnicity, education, marital status, job physical exertion, and television watching. RESULTS We found significant positive linear associations between BMI and night shift (versus day shift) schedule (B = 2.28, P = 0.008) and blue-collar (versus management/professional) work (B = 1.75, P = 0.008). Night shift schedule [odds ratio (OR) = 2.19, P = 0.029], sales/office work (OR = 1.55, P = 0.040), and blue-collar work (OR = 2.63, P = 0.006) were associated with increased risk of obesity versus 'healthy weight'. No other statistically significant associations between work characteristics and BMI or obesity were observed. CONCLUSIONS Night shift schedule and blue-collar work were related to increased BMI and obesity risk in US workers in 2014. Identifying risk factors in blue-collar work and redesigning jobs to reduce those risk factors, and reducing night shift work, could play a role in reducing the prevalence of obesity in the USA.