Objectives: To investigate the prevalence and risk factors for poor mental health of Chinese university students during the Corona Virus Disease 2019 (COVID-19) pandemic. Method: Chinese nationwide on-line cross-sectional survey on university students, collected between February 12 th and 17 th , 2020. Primary outcome was prevalence of clinically-relevant posttraumatic stress disorder symptoms. Secondary outcomes on poor mental health included prevalence of clinically-relevant anxiety and depressive symptoms, while posttraumatic growth was considered as indicator of effective coping reaction. Results: Of 2,500 invited Chinese university students, 2,038 completed the survey. Prevalence of clinically-relevant PTSD, anxiety, and depressive symptoms, and post traumatic growth (PTG) was 30.8, 15.5, 23.3, and 66.9% respectively. Older age, knowing people who had been isolated, more ACEs, higher level of anxious attachment, and lower level of resilience all predicted primary outcome (all p < 0.01). Conclusions: A significant proportion of young adults exhibit clinically relevant posttraumatic stress disorder (PTSD), anxious or depressive symptoms, but a larger portion of individuals showed to effectively cope with COVID-19 pandemic. Interventions promoting resilience should be provided, even remotely, to those subjects with specific risk factors to develop poor mental health during COVID-19 or other pandemics with social isolation.

The novel coronavirus disease (COVID-19) pandemic and associated restrictive measures have implications for depressive symptoms (henceforth depression) of young people and risk may be associated with their reduced physical activity (PA) level. Therefore, we aimed to examine the association between depressive symptoms and PA among college students with different gender and gender role (masculinity traits and femininity traits) during the COVID-19 pandemic. Participants and Methods: Cross-sectional study included 628 healthy college students from nineteen different locations. The Center for Epidemiological Studies Depression Scales (CES-D), the International Physical Activity Questionnaire-Short Form (IPAQ-SF), and the 50-item Chinese Sex-Role Inventory (CSRI-50) were used to measure depressive symptoms, PA continuous (weekly metabolic equivalent minutes, MET-minutes/week) and categorical indicators (activity level category) and gender role, respectively. The statistical analyses were used in partial correlation analysis, t-test, one-way ANOVA, moderation model tests, and linear regression model tests. Results: Total of 34.72% participants had clinically relevant depression (16, CES-D scale). Total of 58.6% participants were classified as a "low" activity level for spending less time on PA. Depression significantly negatively correlated with MET-minutes/week in moderateintensity PA but not vigorous and walking scores. Of note, the depression-PA association was only moderated by the "low" activity level group in terms of categorical scores across gender groups. Participants with higher masculinity traits were less likely to have depression among all participants. Moreover, more recovered cases and fewer deaths could also predict the lower depression risk in the "high" activity level group. Conclusion: Moderate-intensity PA is beneficial for reducing depression risk among college students at a low activity level. College students with fewer masculinity traits (regardless of gender) are highly vulnerable to depression during the outbreak of COVID-19. Effective control of the COVID-19 pandemic seems critical to alleviating the burden of mental disorders of the public including depression.

Highlights Exposure to hypoxia impaired attentional ability, executive function, and memory function but not information processing. The effects of hypoxia on cognition were significantly moderated by sex and cognitive task type but not by other variables. Performing exercise under a hypoxia setting has significant effects on cognitive improvement, which was moderated by cognitive task type, exercise type, exercise intensity, training type, and hypoxia level.

The purpose of this study was to examine the associations of social support and self-efficacy with physical Activity (PA) and the mediating effect of self-efficacy on the relationship between social support and PA in Chinese adolescents. Participants included a total of 2341 Chinese adolescents (aged 12.75 ± 1.46 years). Self-reported instruments, including the physical activity questionnaire for adolescents, the social support revalued scale and the exercise self-efficacy scale, were used to measure physical activity, social support and exercise self-efficacy. Results showed that social support (r = 0.29, p < 0.05) and exercise self-efficacy (r = 0.43, p < 0.05) were significant and positive predictors of PA among Chinese adolescents, and exercise self-efficacy was a significant mediator in the relationship between social support and PA (standardized effect size = 0.15, p < 0.001). Such findings were evident with similar patterns in both male and female adolescents. The findings of this study have indicated the importance of social support and exercise self-efficacy on PA promotion in adolescents, which will aid the development of effective interventions in this population.

Background: Cognitive decline is age relevant and it can start as early as middle age. The decline becomes more obvious among older adults, which is highly associated with increased risk of developing dementia (e.g., Alzheimer’s disease). White matter damage was found to be related to cognitive decline through aging. The purpose of the current study was to compare the effects of Tai Chi (TC) versus walking on the brain white matter network among Chinese elderly women. Methods: A cross-sectional study was conducted where 42 healthy elderly women were included. Tai Chi practitioners (20 females, average age: 62.9 ± 2.38 years, education level 9.05 ± 1.8 years) and the matched walking participants (22 females, average age: 63.27 ± 3.58 years, educational level: 8.86 ± 2.74 years) underwent resting-state functional magnetic resonance imaging (rsfMRI) scans. Diffusion tensor imaging (DTI) and graph theory were employed to study the data, construct the white matter matrix, and compare the brain network attributes between the two groups. Results: Results from graph-based analyses showed that the small-world attributes were higher for the TC group than for the walking group (p < 0.05, Cohen’s d = 1.534). Some effects were significant (p < 0.001) with very large effect sizes. Meanwhile, the aggregation coefficient and local efficiency attributes were also higher for the TC group than for the walking group (p > 0.05). However, no significant difference was found between the two groups in node attributes and edge analysis. Conclusion: Regular TC training is more conducive to optimize the brain functioning and networking of the elderly. The results of the current study help to identify the mechanisms underlying the cognitive protective effects of TC.