This study investigates the relationship between internalized stigmatization brought on by epicenter travel experiences and mental health problems (including anxiety, depression, and shame) during the period of the novel coronavirus disease emergency in China. The cross-sectional data were collected using the time-lag design to avoid the common method bias as much as possible. Regression results using structural equation modeling show that the internalized stigmatization of epicenter travel experiences may have positive relationships with mental health problems (i.e., anxiety, depression, and shame), and such relationships can be moderated by social support. Specifically, the positive relationships between internalized stigmatization and mental health problems are buffered/strengthened when social support is at a high/low level. The findings of this study suggest that, in this epidemic, people who have epicenter travel experience could be affected by internalized stigmatization, no matter whether they have ever got infected.
According to a survey in 2015, the population aged 65 and above has climbed to 140 million in China, accounting for 10.47% of the total population. 1 The population ageing in China develops rapidly with the implementation of family planning. 2 The extension of life expectancy and low birth rate further exacerbate this situation, with the population
Objective:
The practice of parallel multiple jobs has increasingly become a global trend. However, the effects of parallel multiple jobs on physical and mental health have not been well understood.
Method:
Data come from China Health and Retirement Longitudinal Study published by CHARLS in 2015. The agricultural population aged 45 years old and above are selected through stratified random sampling (N = 10,118). Robust regression method is used to give robust estimation.
Results:
U-shape relations are found. The modest increase in the number of parallel multiple jobs can alleviate the difficulty in physical activities functioning and can reduce mental health problems. However, these beneficial effects could turn detrimental with the number of parallel multiple jobs beyond the modest level, leading to work overload.
Conclusion:
Parallel multiple jobs could be considered a double edge sword for physical and mental health.
Background
The delayed retirement initiative and population aging have led to a growing group of late retirees. However, it remains unclear whether the existing employment-based health insurance system can effectively match the recently proposed initiative and support late retirees, especially those with pre-existing function limitations. Thus, this study aims to investigate the influencing mechanism of China’s Urban Employee Basic Medical Insurance (UEBMI), physical functioning limitation (PFL) and difficulty in instrumental activities of daily living (IADLs) on labour participation of late retirees in China.
Methods
This study uses data from the China Health and Retirement Longitudinal Study (CHARLS) survey, which tracks the quality of life among older adults in China (valid sample size = 5560).
Results
Empirical results show that China’s employment-based health insurance (i.e. UEBMI) and health conditions (i.e. PFL and difficulty in IADLs) are positively associated with late retirees’ withdrawal from late career participation. In addition, a higher level of difficulty in IADLs could strengthen the effect of PFL on late retirees’ withdrawal from late career participation, which could be further buffered by UEBMI beneficiary status.
Conclusion
In the formulation of delayed retirement policies, it is necessary to consider the influencing mechanism of the social health insurance system and health conditions on late career participation of older workers to ensure policy effectiveness.
Objective:
The effectiveness of air traffic restriction in containing the spread of infectious diseases is full of controversy in prior literature. In Jan. 2020, the Civil Aviation Administration of China (CAAC) announces air traffic restriction in response to the COVID-19 pandemic. This study is to empirically examine the policy effectiveness.
Method:
The data from two third-party platforms are used in this investigation. The COVID-19 data from DXY and the air traffic data from Airsavvi are matched to each other. The robust panel regression with controlling city effect and time effect is conducted.
Results:
The curvilinear relations are found between the air traffic restriction and the existing cases, and the recovery rate (quadratic term = 9.006 and -0.967, respectively). As the strength of air traffic restriction is growing, the negative effect (-8.146) of air traffic restriction on the existing cases and the positive effect (0.961) of air traffic restriction on the recovery rate, respectively, begin to be decreasing.
Conclusion:
On macro level, the air traffic restriction may help alleviate the growth of existing cases and help raise the recovery rate of COVID-19 in megacities of China, but these effects will both marginally recede as the restriction strength is intensifying.
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