IntroductionDuring the COVID-19 outbreak, many citizens were asked to stay at home in self-quarantine, which can pose a significant challenge with respect to remaining physically active and maintaining mental health. This study aimed to evaluate the prevalence of inadequate physical activity, anxiety, and depression and to explore the relationship of physical activity with anxiety and depression symptoms among Chinese college students during quarantine.MethodUsing a web-based cross-sectional survey, we collected data from 1,396 Chinese college students. Anxiety and depression were assessed with the Self-Rating Anxiety Scale (SAS) and the Self-Rating Depression Scale (SDS), respectively. The data on physical activity were collected by types of physical activity and the International Physical Activity Questionnaire (IPAQ-SF).ResultsDuring the COVID-19 outbreak, about 52.3% of Chinese college students had inadequate physical activity. The rates of anxiety and depression symptoms were 31.0 and 41.8%, respectively. A high level of physical activity (β = −0.121, P < 0.001) was significantly closely associated with low anxiety, while a moderate (β = −0.095, P = 0.001), or high (β = −0.179, P < 0.001) level of physical activity was significantly closely associated with reduced depression after adjusting confounding demographic factors. Moreover, specific types of physical activity, such as stretching and resistance training, were negatively correlated with both anxiety and depression; doing household chores was negatively correlated with depression.ConclusionOur findings highlight specific levels and types of home-based physical activities that need to be taken into consideration to protect the mental health of college students during the COVID-19 epidemic.

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The objective of this study was to examine the urban-rural variations in the prevalence of overweight, hypertension, undiagnosed hypertension, and untreated hypertension among adults. The China Health and Nutrition Survey was used to study adults 25 to 65 years old. Logistic regression was used to obtain the odds ratios (ORs) after adjusting for demographic, socioeconomic, and lifestyle variables. Urban adults have a higher probability of being overweight (OR = 1.18, P < .01) and having hypertension (OR = 1.19, P < .1). After further controlling for lifestyle variables, the difference is not significant. Urban hypertensive adults are less likely to be undiagnosed (OR = 0.54, P < .001) and untreated (OR = 0.53, P < .001), even after controlling for socioeconomic and lifestyle variables, suggesting that there are other reasons for the urban-rural disparity of undiagnosed and untreated hypertension. This finding suggests that modifying lifestyles is critical in preventing urban adults from being overweight. Interventions targeting rural adults should promote the awareness and treatment of hypertension.