A cross‐sectional study design was applied amongst a random sample (n = 10158) of Chinese adolescents. Self‐completed questionnaires, including demographic characteristics, Internet use situation, Youth Internet Addiction Test, Youth Social Support Rating Scale and Zung Self‐rating Depression Scale were utilized to examine the study objectives. Among the study population, the prevalence rate of Internet addiction was 10.4%, with 1038 (10.2%) moderately and 21 (0.2%) severely addicted to the Internet. Results from the multivariate logistic regression analyses suggested that a variety of related factors have significant effects on Internet addiction (parental control, per capita annual household income, academic performance, the access to Internet, online activities). The correlation coefficients showed that Internet addiction was negatively correlated with social support and positively associated with depression. Social support had a significant negative predictive effect on Internet addiction. The mediating effect of depression between social support and Internet addiction was remarkable.
This prospective study examined the longitudinal effects of psychological resilience on depression in a Chinese sample of left-behind children. A total of 386 left-behind children completed both a baseline and a 1-year follow-up survey. The prevalence of depression at the baseline and 1-year follow-up was 12.7 and 8.5 per cent, respectively. Multivariate analysis revealed that older age and baseline depressive symptoms were positively associated with follow-up depression, while psychological resilience and quality of life were negatively related to follow-up depression. Our findings provided preliminary evidence that higher psychological resilience was a significantly protective factor of developing depression among left-behind children.
Depressive symptoms and empty nest phenomenon of rural elderly people are both important public health issues, which should not be ignored. We aimed to estimate the prevalence of depressive symptoms and related factors of the empty nest elderly in rural China. We recruited 3182 eligible subjects and gathered data by face-to-face interview. Multivariate logistic regression models were used to explore the related factors of depressive symptoms. The present study showed that the prevalence of depressive symptoms significantly differed between empty nest old adults and non-empty nesters (24.1% vs. 19.0%). The elderly living alone had highest OR of depressive symptoms. Depressive symptoms of empty nest elderly was associated with sleep quality, economic status, pain, social support and ADL. While it was associated with gender, economic status, pain and PSMS in non-empty nest group. Number of chronic disease showed significant associations with depressive symptoms in the elderly living alone. Subjective support, support utilization and pain were positively associated with depressive symptoms in the elderly living with spouse. Sleep quality, economic status and ADL were common factors. Depressive symptoms obviously prevail among empty nest elderly than non-empty nesters. It reminded us that complementary social support from family and society is essential.
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