Investigation of obesity and its related factors among Chinese medical staff: a cross-sectional pilot study.

Abstract

Background: Many studies have covered the prevalence of obesity in different populations. However, studies on the prevalence and predictors of obesity among medical staff are lacking. The aim of our study is to investigate the prevalence of obesity among medical staff and to identify the related predictors.

Methods: Using a snowballing recruitment strategy in the form of an electronic questionnaire, a cross-sectional survey was conducted among 1201 medical staff from cooperative hospitals between January and March 2022. We designed a questionnaire to investigate the participants' demographic, lifestyle, diet, physical activity, and work status.

Results: The overall prevalence of obesity was 8.5%, with males (13.7%) having a greater incidence than females (5.7%) (p < 0.001). Multiple logistic regression analyses showed that alcohol drinking (OR, 2.34; 95% CI 1.23-4.42, p = 0.01), sugar-sweetened beverages consumed > 3/week (OR, 2.50; 95% CI 1.02-6.15, p = 0.046), and working a night shift > 1/week (OR, 2.17; 95% CI 1.02-4.61, p = 0.043) were independent predictive factors for obesity in men. For women, having midnight snack having midnight snack (OR, 2.93;95% CI 1.24-6.96, p = 0.015), good sleep quality (OR, 4.47; 95% CI 1.10-21.70, p = 0.038), and working a night shift > 1/week (OR, 3.62; 95% CI 1.73-7.57, p = 0.001) were independently associated with obesity.

Conclusions: Obesity presented a low prevalence among medical staff. Alcohol drinking, drinking sugar-sweetened beverages > 3/week, and night shift > 1/week predicted a higher risk of obesity in males. In females, having midnight snack, good sleep quality, and night shift > 1/week were independently associated with obesity.

Level of evidence: V, descriptive study.