Unique and cumulative effects of lifestyle-related behaviors on depressive symptoms among Chinese adolescents.

BACKGROUND: It is well known that some lifestyle-related behaviors are related to depressive symptoms, but the unique and cumulative effects of lifestyle-related behaviors on depressive symptoms among Chinese adolescents are still controversial. AIMS: The aims of this study were to examine the unique and cumulative effects of lifestyle-related behaviors on depressive symptoms among Chinese adolescents, and explored the potential influences of gender difference on these associations. METHODS: We conducted a cross-sectional study among 3967 Chinese adolescents aged 11 to 19 from Jilin, China during September and October of 2018. Students reported their lifestyle factors including sleep duration, time spent on computer, time spent on television, time spent on homework, eating breakfast, smoking, drinking, physical activity, and outdoor activity. Depressive symptoms were measured using the Center for Epidemiologic Studies Depression Scale (CES-D). RESULTS: The prevalence of depressive symptoms was 28.2% among Chinese adolescents. Multivariate logistic regression analysis revealed that sleep duration <8 hour/day, time spent on homework ⩾3 hour/day, skipping breakfast, alcohol use, physical activity <3 days/week, and outdoor activity <2 hour/day were positively associated with depressive symptoms in both girls and boys. Time spent on computer ⩾2 hour/day was an independent risk predictor for depressive symptoms in males, while smoking only showed higher risk of depressive symptoms in females. There was an additive relationship between the lifestyle risk index scores and the risk of depressive symptoms for both genders, the relationship being strongest among females. CONCLUSION: The important role of lifestyle factors should be taking into consideration when create intervention programs to prevent and reduce depressive symptoms among adolescents. In addition, preventive interventions may need to focus on gender-informed approaches when targeting multiple lifestyle factors.

Prevalence of and factors related to anxiety and depression symptoms among married patients with gynecological malignancies in China.

OBJECTIVE: This study aims to investigate the prevalence of anxiety and depression among married patients with gynecological malignancies in China and then explores factors related to anxiety and depression. METHODS: A cross-sectional study was conducted from July 2016 to July 2017 in Jilin Province. A total of 394 married patients with gynecological malignancies completed the Hospital Anxiety and Depression Scale (HADS). Univariate analysis and multivariate logistic regression analysis were used to evaluate the association between influencing factors of anxiety and depression. Back propagation neural networks (BP neural networks) were used to examine the ranking of these influencing factors. RESULTS: The prevalence of anxiety and depression was 79.95% and 94.16% in married patients with gynecological malignancies. Multivariate logistic analysis revealed that patients' anxiety showed significant relationships with low income, frequency of chemotherapy, diagnostic results and low sleep quality(P < 0.05), and patients' depression showed significant relationships with low quality sleep and frequency of chemotherapy (P < 0.05). Using BP neural networks, the order of importance of these factors in influencing anxiety, from high to low, was determined to be sleep quality, frequency of chemotherapy, monthly income, diagnostic results, age and fertility demand. CONCLUSIONS: It is important to reduce anxiety and depression in these patients by improving sleep quality and clinical treatment.