Objective: This study aimed to examine the mediating effects of sleep quality in the association between beverages consumption and depressive symptoms in Chinese university students, and to provide a theoretical reference for preventing and reducing depression symptoms. Methods: This school-based cross-sectional survey was carried out among 4 624 university students from 2 universities in Anhui and Jiangxi provinces of China. The patient health questionnaire-9 items (PHQ-9) was used to assess depressive symptoms. The Pittsburgh sleep quality index（PSQI） was used to assess sleep quality, and a self-reported dietary frequency questionnaire was used to measure beverages consumption. The quantile regression model was used to association analysis, and the latent variable mediation model was used to analyze the mediation effect. Results: The positive rates of mild, moderate, moderate to severe and severe depression in 4 624 university students were 31.4%, 7.5%, 4.1% and 2.0%, respectively. There was a significant association between the beverages consumption score, the PSQI score, and the PHQ-9 score( P <0.01). The higher the quantile of the beverage consumption and PSQI score, the greater the regression coefficient ( β ), and a significant dose-response relationship was observed( P <0.01). In the latent variable mediation model of beverages consumption associated with depressive symptoms in Chinese university students, the mediating effect value of sleep quality was 0.12, and the ratio of mediating effect to total effect was 71.3%. Conclusion Our study demonstrates that poor sleep quality partially mediates the association between beverages consumption and depressive symptoms in Chinese university students.

Objective: To describe physical activity (PA) level of college students, and to examine the associations between PA and physical health and depression, so as to provide evidence for health promotion of college students. Methods: During June to July 2018, a cross-sectional survey was conducted among 4 624 college students from 2 universities in Anhui and Jiangxi provinces. The basic information was investigated by the questionnaire. PA was assessed by the International Physical Activity Questionnaire(IPAQ). Physical and mental health were evaluated by the 36-item Short Form Health Survey Questionnaire (SF-36) and the Center for Epidemiologic Studies Depression Scale(CES-D), respectively.Chi-square test was used to examine the differences between physical health and depression among college students with different demographic characteristics. The generalized linear model and binary logistic regression model were used to analyze the relationships between PA and physical health and depression. Results: The proportion of good, medium and poor physical health were 64.5%, 31.6% and 3.9%, respectively. The detection rate of depression was 34.1%. Compared to low PA group, physical health was negatively correlated with medium PA (OR=0.78, 95%CI=0.66-0.91) and high PA(OR=0.46, 95%CI=0.38-0.56). Binary logistic regression results showed that, depression was negatively associated with medium PA (OR=0.69, 95%CI=0.59-0.82) and high PA(OR=0.66, 95%CI=0.55-0.79)(P<0.05). Conclusion There is a significant association between PA and physical health and depression. Further longitudinal studies are needed to clarify the causal relationship between PA and physical and mental health.