Gender differences and occupational factors in the risk of obesity in the Italian working population.
Abstract Background Obesity is a multifactorial condition and a major risk factor associated with several non- communicable diseases, as cardiovascular diseases, and with a higher risk of premature death and disability. Sex-specific factors play a key role and must be taken into consideration in studying occupational factors associated to the risk of obesity. The aim of this study was to investigate gender differences in Body Mass Index in a large cohort representative of Italian workers and, correlating this index with several demographic and occupational variables to verify differences due to the gender and work in the risk of obesity. Methods We utilized data from INSuLa, a cross-sectional nationally representative survey of the Italian workers population conducted in 2013 by the Italian Workers’ Compensation Authority to investigate the health and safety at work. Analysis were run on a large sample of 8,000 Italian workers, aged from 16 to 64 years, representative of the Italian working population. Logistic regression models were carried out to assess gender differences in the association between occupational characteristics and Body Mass Index. We adjusted for age, education, variables related to health protection at work and chronic conditions and diseases. Results Findings showed several differences among males and females in the Body Mass Index due to exposure to several occupational factors, as occupational sector. Among the others, female shift workers were 1.32 times (95% CI = 1.11-1.57) more likely to be overweight or obese compared to normal workers, this association is maintained when controlling for confounders. A significant increase of 1.5-1.6 times in the likelihood of overweight or obesity was observed among women who worked 1-2 night shifts per week. Conclusions Gender-specific differences in studying occupational factors associated to the risk of obesity are useful in the view of characterizing the risk of obesity and contributing to the identification of workplace-targeted intervention strategies.