Against the backdrop of rapid urbanization and severe population aging, older adults living alone or with a spouse in China have become a special and vulnerable group that deserve more research attention. Based on a national sample of 3886 older adults (≥60 years old) living alone or with a spouse, we used multiple linear regression models to investigate the effect of children’s support on depression among older adults living alone or with a spouse in China. A comparative analysis was conducted to examine the differences between urban and rural areas. The results indicated that financial support from children was negatively correlated with depression among older adults living alone or with a spouse, especially in rural areas. Their children’s frequency of contact also significantly alleviated depression among non-cohabiting parents in rural areas, but not for the same types of parents living in urban areas. Compared with financial support, their children’s frequency of contact contributes more to decreasing depression among older adults living alone or with a spouse. The effect of their children’s support on depression is comparable to that of demographic characteristics, which are usually deemed as important factors in the psychological health of older adults. Moreover, we found that the marginal effects of self-rated health and pain were significant and much higher than other control variables, especially in the urban model.

Taking Beijing as a case, this paper conducted a survey to collect the characteristics of residents’ daily activities, including the mode of frequency and duration of travel, the type and environment of activities, and the duration and frequency of activities. We calculated the COVID-19 exposure risk of residents in different activities based on the exposure risk formula; the influencing factors of residents’ exposure risk were analyzed by regression analysis. The variance of residents’ COVID-19 exposure risk was calculated by coefficient of variation. The main conclusions are as follows: (1) There are differences in activity types of COVID-19 exposure risk, which are survival activity, daily activity and leisure activity from high to low. (2) There are differences in populations of COVID-19 exposure risk. Education level, occupation and income are the main factors affecting residents’ COVID-19 exposure risk. (3) There is internal inequity in the risk of COVID-19 exposure. The exposure risk was higher on work days than on rest days. Health inequities at work are highest on both work days and rest days. Among the different population characteristics, male, 31–40 years old, married, with a high school education, income level of 20,001–25,000 yuan, with a non-local rural hukou, rental housing, farmers, three generations or more living together have a greater degree of COVID-19 exposure risk.

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