[Study on the relationship between lifestyle and depression symptoms: a TCLSIH study]

Objective: To evaluate the relationship between lifestyle factors and depressive symptoms based on the TCLSIH cohort of 2013-2016 and provide evidence for the intervention on lifestyle in the prevention and treatment of depression in the future. Methods: A cross-sectional study was conducted in 24 256 persons by using a self-rating depression scale (SDS) to assess the depressive symptoms, and lifestyle questionnaire survey and physical examination were carried out. By using software SAS 9.3. The study subjects were divided into two groups: non-depression group (SDS score <45) and depression group (SDS score≥45), and the relationship between lifestyle factors and depressive symptoms was analyzed. Results: The study subjects in depression group accounted for 16.59%; the baseline survey showed that compared with non-depression group, the subjects in depression group had higher neutrophil count and lymphocyte count ratio (NLR), lower BMI, lower total energy intake, and lower physical activity level, and tended to take less plant food diet, more animal food diet and sweet food diet (P<0.000 1). In the depressive group, there were more smokers and less occasional drinkers (P<0.01), and there were more women, home-aloners, people with lower education levels, people with lower total household income, and less staff members, married and those who liked to contact relatives and friends, but the proportion of people who spent more than 5 hours daily for outdoor activities was higher. Multiple linear regression analysis results showed that being male, aged, NLR, smoking (OR=1.14, 95%CI: 1.03-1.26), quitting alcohol, being home-aloners, animal food diet (OR=1.41, 95%CI:1.35-1.46), sweet food diet (OR=1.17, 95%CI: 1.13-1.22), sleep time >7.5 h/d, outdoor activity time 3-5 h/d, outdoor activity time >5 h/d were positively correlated with depression (P<0.05). BMI(OR=0.98, 95%CI: 0.97-0.99), education level (OR=0.76, 95%CI: 0.70-0.82), being staff member, total household income (OR=0.63, 95%CI: 0.58-0.68), total energy intake, physical activity (OR=0.86, 95%CI: 0.84-0.89), married status, move contacts with relatives or friends were negatively related with depression (P<0.05). Conclusion: Lifestyle is closely related to the occurrence of depressive symptoms, and lifestyle intervention seems be a new way to prevent and treat depression.