This study explored pandemic-related social support profiles and investigated their relationships with depressive symptoms among Chinese parents during the COVID-19 pandemic. The hypotheses were evaluated in an online cross-sectional survey of 1286 parents. Latent profile analysis identified two profiles of received social support (isolated and integrated support). Three convergent profiles (high, moderate, and low support) and one divergent profile were found in perceived social support. The results revealed that the distribution of age, region, income and educational level varied across these profiles. Only the “high” (β = −0.11, p < 0.01) and “divergent” (β = −0.12, p < 0.01) profiles of perceived social support were negatively associated with parents’ depressive symptoms. These findings highlight the importance of developing better-targeted intervention programs aimed at optimizing the allocation and improving the quantity and quality of supportive resources for parents.

The Coronavirus Disease 2019 (COVID-19) pandemic has caused numerous unexpected changes for families and societies, which have likely contributed to higher amounts of stress for most parents. This study aimed to examine the relationship between burnout and mental health among parents during the COVID-19. Pandemic exposure and household factors (e.g., family structure, family function) were examined as moderators. An online cross-sectional survey recruiting 1,209 adults was conducted from April 21st to April 28th, 2020 during the COVID-19 lockdown in China. The multivariable linear regression analysis was employed to test the association between burnout, household factors, and mental health among parents. Findings suggested that for parents with a young child, poorer mental health was related to a higher level of burnout (β = 0.220, P < 0.001) and greater exposure to the pandemic. Mothers of a single and/or young child had considerably poorer mental health. Moreover, the relationship between mental health and burnout among parents was significantly moderated by epidemic exposure (β = 2.561, P < 0.001), family structure (number of children: β = −1.257, P < 0.001; first child age: β=-1.116, P < 0.001) and family function (β = −0.574, P < 0.05). This study indicated that burnout symptoms were significantly associated with worse mental health among parents in China. Besides, exposure to the pandemic, family structure, and family function was found to moderate the association between burnout and mental health among parents. Therefore, the present study stressed enhanced access to mental health resources and emotional supports for parents during a public crisis to reduce the deleterious effects of burnout.

： Post-traumatic stress disorder (PTSD) has negative effects on children's development, even into adulthood. However, traditional diagnostic methods are difficult to quickly, objectively and accurately identify and diagnose PTSD in children. Machine learning, as an emerging method to deal with a large number of variables and data, has gradually

Internet addiction among high school students is an emerging public health issue in China. The objective of this study was to investigate the association between internet addiction and quality of life, as well as the mediation effect of social support in such an association, among Chinese rural high school students. A total of 1277 high school students (mean age: 17.35 years; standard deviation: 1.39 years) from three rural high schools in the province of Henan in China were recruited. Internet addiction was measured by the Young's Internet Addiction Scale, quality of life was assessed with a 16-item Quality of Life Questionnaire, and social support was evaluated by the Multidimensional Scale of Perceived Social Support. This study revealed that the prevalence rate of internet addiction was 11.51% among the participants. Internet addiction was negatively associated with overall quality of life (beta = -0.06, p < 0.001) and its four dimensions (mental beta = -0.09, p < 0.001, physical beta = -0.09, p < 0.001, social beta = -0.05, p = 0.04, and cultural beta = -0.060, p = 0.012). The study also confirmed that social support from families, friends, and significant others mediates the negative association between internet indication and quality of life.