Gender differences in the association between lifestyle behaviors and mental health among psychiatrists in China

Abstract

IntroductionMental health symptoms are common among health professionals and the influence of lifestyle behaviors on psychiatrists' mental health is insufficiently understood. Based on a nationwide sample, we aimed to survey the lifestyle behaviors and mental health status among psychiatrists, and to identify the co-occurrence and gender differences in lifestyle behaviors. MethodsData were collected through an anonymous questionnaire among psychiatrists in China. Depression, Anxiety and Stress Scale – 21 (DASS-21) was used to evaluate mental health symptoms. Latent class analysis (LCA) was used to explore the co-occurrence of lifestyle behaviors. The multivariate logistic regression model was used to examine the effects of demographic and lifestyle factors. Results4520 psychiatrists were included in the analysis with 11.5 % of them reporting smoking, 10 % reporting alcohol misuse, 35.2 % reporting physical inactivity, and 23.1 % reporting insomnia. The prevalence of depression, anxiety and stress symptoms were 29.2 %, 34.5 %, and 12.2 %, respectively. Significant gender differences were found in smoking (P < 0.001), alcohol misuse (P < 0.001), and physical inactivity (P < 0.001), but not in insomnia. Based on these four high-risk health behaviors above, three lifestyle behavior clusters with huge gender differences were identified through the LCA. Accordingly, the unhealthy lifestyle classes, though defined differently for males and females, were significantly associated with depression, anxiety, and stress. ConclusionsThe co-occurrence and significant gender differences in multiple lifestyle behaviors exist in this group, highlighting the need for gender-specific comprehensive interventions against mental health symptoms and the urgency of promoting their well-being.