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Background: The Chinese government has established a nationwide multiple-level medical insurance system. However, catastrophic health expenditure (CHE) causes great harm to the quality of life of households and pushes them into poverty. The objective of this paper is to assess the effect of medical insurance on CHE in China and compare the financial protection effects of different medical insurances. Methods: Panel data were obtained from China Family Panel Studies (CFPS) conducted in the years of 2012, 2014, and 2016. CHE incidence was measured by performing a headcount, and its intensity was estimated using overshoot and mean positive overshoot (MPO). In addition, concentration index (CI) was used to measure the degree of socioeconomic inequality of CHE occurrence. Furthermore, random effects panel Probit regression model was employed to assess the effect of medical insurance on CHE. Lastly, random effects panel Logit regression model was adopted to perform a robustness check. Results: From 2012 to 2016, the total CHE incidence jumped from 15.05% to 15.24%, and the CI in CHE changed from − 0.0076 to − 0.1512. Moreover, the total overshoot increased from 0.0333 to 0.0344, while the total MPO grew from 0.2213 to 0.2257. Furthermore, the global regression results show that residents covered by Supplementary Medical Insurance (SMI) were linked to a decreased probability of experiencing CHE. In addition, the regression results by gender indicate that SMI coverage for male residents had a significant effect on the prevention of CHE, while the effect was not significant for female residents. The regression results by health status show that SMI had a significant impact on reducing the likelihood of CHE occurrence for healthy residents, whilst the impact was not significant for unhealthy residents. Lastly, the robustness check results were consistent with those of previous findings. Conclusion: The results of this study suggest that CHE incidence and intensity became relatively higher among households. In addition, CHE occurrence was concentrated among the poorer households and the equality status worsened. Moreover, financial protection effects of the four medical insurance schemes against CHE varied significantly. Furthermore, the protection effect of SMI against CHE shows significant gender and health status disparities.

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Background and Aim: Health is viewed as a form of human capital and a necessary basis for people to realize capabilities. Moreover, socioeconomic inequality in health outcome widens income inequality and exacerbates social inequality. The aim of this study is to measure socioeconomic inequality in health outcomes among the elderly in China. Methods: The data used in this study were sourced from China Health and Retirement Longitudinal Study in 2015, including 5643 participants aged 60 and above. Concentration curve and concentration index were applied to measure the extent of socioeconomic inequality in health outcomes among older adults. Furthermore, the decomposition method of concentration index proposed by Wagstaff was employed to quantify each determinant's contribution to the measured socioeconomic inequality in health outcomes. Results: The concentration index of Activity of Daily Living Scale and Center of Epidemiological Survey-Depression Scale score were −0.0064 and −0.0158, respectively, indicating pro-rich inequality in physical and mental health among the elderly. The decomposition analysis revealed that household income (41.15%), aged 70-79 (17.37%), being male (8.38%), and living in urban area (5.78%) were key factors to explain the pro-rich inequality in physical health. Furthermore, the results also suggested that household income (68.41%), being male (17.55%), having junior high school education (10.67%), and living in urban area (6.49%) were key factors to explain the pro-rich inequality in mental health. Conclusion: This study revealed that there are pro-rich inequalities in physical and mental health among the elderly in China, and the degree of pro-rich inequality in mental health is higher than that in physical health. Moreover, the results also suggested that household income is the biggest contributor to socioeconomic inequality in physical and mental health. Furthermore, this study found that educational attainment makes a substantial contribution to socioeconomic inequality in health outcomes, while the contribution of health insurance to health inequality is limited.

The ongoing COVID-19 pandemic provides hotbed for hatred and violence, which could be especially true among college students, the most active users of internet and social media. Based on a national sample of Chinese college students ( N = 1,673), the present study aims to explore the clustered nature of stress coping strategies, as well as its associations with the participants’ stigmatizing attitude and cyberbullying behaviors towards people in Hubei Province, the place where the first COVID-19 case was reported and recognized as China’s epicenter of the pandemic. Four latent subgroups were first identified among the participants based on type and comparative adoption rate of their coping strategies, namely the emotional coping group, the inactive coping group, the support-seeking and positive coping group, and the independent and positive coping group. The significant associations between coping strategy patterns and stigmatizing attitude and cyberbullying behaviors were reported, respectively. The two were most likely to happen among the participants using emotional coping while the least likely among the independent and positive coping group. This study provides empirical supports for combating the secondary disasters of the pandemic, namely stigma and cyberbullying, by identifying the role of emotional and positive coping strategies.