Social transition and health inequality in China: an age-period-cohort analysis

Social transition, socioeconomic status and self-rated health in China: evidence from a national cross-sectional survey (CGSS)

Background

Social transition is one of the multi-level mechanisms that influence health disparities. However, it has received less attention as one of the non-traditional social determinants of health. A few studies have examined China's social transition and its impact on health inequality in self-rated health (SRH). Therefore, this study explores the impact of China's market-oriented reforms-social transition and socioeconomic status (SES)-on residents' SRH.

Methods

Using the cross-sectional data from the Chinese General Social Survey (CGSS) in 2017, we analyzed the effects of social transition and SES on the SRH of Chinese residents using the RIF (Recentered influence function) method. The RIF decomposition method investigated health differences among different populations and their determinants.

Results

Social transition and SES have significant positive effects on the SRH of Chinese residents. The correlation between SES and the SRH of Chinese residents is moderated by social transition, implying that social transition can weaken the correlation between SES and the SRH of Chinese residents. The impacts of SES and social transition on SRH vary across populations.

Conclusion

Promoting social transition and favoring disadvantaged groups with more resources are urgently needed to promote equitable health outcomes.

Labour-Market Characteristics and Self-Rated Health: Evidence from the China Health and Retirement Longitudinal Study

In the face of labour-force ageing, understanding labour-market characteristics and the health status of middle-aged and older workers is important for sustainable social and economic development. Self-rated health (SRH) is a widely-used instrument to detect health problems and predict mortality. This study investigated labour-market characteristics that may have an impact on the SRH among Chinese middle-aged and older workers, using data from the national baseline wave of the China Health and Retirement Longitudinal Study. The analytical sample included 3864 individuals who at the time held at least one non-agricultural job. Fourteen labour-market characteristics were clearly defined and investigated. Multiple logistic regression models of the associations of each labour-market characteristic with SRH were estimated. Seven labour-market characteristics were associated with higher odds of poor SRH when controlled for age and sex. Employment status and earned income remained significantly associated with poor SRH, when controlling for all the sociodemographic factors and health behaviours. Doing unpaid work in family businesses is associated with 2.07 (95% CI, 1.51-2.84) times probability of poor SRH, compared with employed individuals. Compared with more affluent individuals (highest quintile of earned income), people in the fourth and fifth quintiles had 1.92 (95% CI, 1.29-2.86) times and 2.72 (95% CI, 1.83-4.02) times higher chance, respectively, of poor SRH. In addition, residence type and region were important confounders. Measures improving adverse working conditions should be taken to prevent future risk of impaired health among the Chinese middle-aged and older workforce.

The trend in quality of life of Chinese population: analysis based on population health surveys from 2008 to 2020

BACKGROUND

Quality of life (QoL) is one of the most important indicators for evaluating an individual's overall health status. However, evidence exploring the trend in QoL of the Chinese population is still lacking. This study aimed to investigate the trend in QoL of the Chinese population measured by the EQ-5D from 2008 to 2020, as well as compare the changing trends in QoL categorized by populations with different socio-demographic characteristics.

METHODS

Data were obtained from the 2008, 2013, and 2020 waves of the Health Services Surveys conducted in Tianjin, China. Respondents completed the EQ-5D (EQ-5D-3L in 2008 and 2013 and EQ-5D-5L in 2020) through face-to-face interviews or self-administration. Responses of the EQ-5D-3L in 2008 and 2013 were mapped onto the EQ-5D-5L responses, and then converted to utility values using the Chinese value set. The trend in QoL was explored by comparing the percentage of any reported problems on each EQ-5D dimension and the corresponding utility values across the three waves. Subgroup analyses were performed to compare trends in utility values stratified by socio-demographic indicators. The effect of the time variable (year) on utility values was assessed by multiple linear regression analyses using the pooled data.

RESULTS

By analyzing and comparing the three waves of the data (N = 25,939 in the 2008 wave, N = 22,138 in 2013, and N = 19,177 in 2020), an upward trend was observed in the percentages of reporting problems on all five dimensions (p < 0.001), resulting in a decreasing trend in utility values (2008: 0.948, 2013: 0.942, 2020: 0.939, p < 0.001). Utility values declined more over time among the female, the elder, the recipients of medical assistance, the widowed, the unemployed, and respondents with primary or lower education. The effect of the year (Coef. for 2013 = - 0.009, p < 0.001; Coef. for 2020 = - 0.010, p < 0.001) confirmed the downward trend in the utility values.

CONCLUSIONS

The overall QoL of the Chinese population decreased over the period from 2008 to 2020. The QoL of the disadvantaged or vulnerable populations in terms of socioeconomic characteristics declined more over time.

Influence of college education on happiness: A quasi-experimental study based on higher education expansion in China

Previous studies have documented a positive association between college education and happiness. However, the endogeneity of college education attainment is rarely examined, and a more robust link between college education and happiness needs to be built. Based on the Chinese General Social Survey data of 2017, the present study used the quasi-experiment of China's higher education expansion started in 1999 to construct a fuzzy regression discontinuity design to examine the causal association between college education and happiness. It is observed that college education indeed improved Chinese happiness, but this positive association was stronger in males than in females. Further, college education was observed to improve happiness by improving individual political status, perceived personal status, health and family social status, but not by increasing personal income. Accordingly, the government should continue to promote the development of higher education, and the fairness of higher education development deserves more attention to reduce population disparities in happiness.

Income-related health inequality in urban China (1991-2015): The role of homeownership and housing conditions

Unprecedented economic growth has been experienced over the several decades worldwide, but such rapid economic growth wasn't accompanied by equally-substantial improvement in health, especially health inequalities between the rich and poor. This study examines the role of housing in income-related health inequalities (income-health gradient) in urban China. We here analyze 1991-2015 China Health and Nutrition Survey data to ask how housing affects income-related health inequalities in urban China. We find pro-poor inequalities in self-reported bad health but pro-rich inequalities in objective bad health (general overweight/obesity, central obesity and high blood pressure). Housing conditions serve to reduce the health gradient, especially for objective health. On the contrary, homeownership exacerbates the health gradient. Improving housing conditions thus appears to be an effective way of reducing the income-health gradient in urban China.

Historical Trends in Incidence of Breast Cancer in Shanghai, Hong Kong and Los Angeles, 1973-2012: A Joinpoint and Age-Period-Cohort Analysis

Objectives: This study aimed to estimate the long-term trends of breast cancer incidence in Shanghai, Hong Kong, and Los Angeles (LA).

Methods: Data were obtained from Cancer Incidence in Five Continents (CI5plus) database. The average annual percent change (AAPC) was conducted by joinpoint regression analysis, and the age, period and cohort effects were estimated by age-period-cohort (APC) analysis.

Results: The age-standardized incidence rates (ASIRs) in LA were higher than Shanghai and Hong Kong. During 1988–2012, the ASIRs significantly decreased in white women in LA (AAPC = −0.6%, 95% CI: −0.9% to −0.4%) while increased in Shanghai (2.5%: 2.1%–2.9%) and Hong Kong (2.2%: 2.0%–2.5%). The APC analysis revealed significantly increased effects of age and period, and decreased effect of birth cohort.

Conclusion: Although age and cohort effects were relatively strong, the period effect may be the key factor affecting trends of incidence, which may be caused by increasing exposures to carcinogens and risk factors. Therefore, more effective measures should be carried out promptly to protect high-risk populations such as elder women, to avoid exposures to risk factors of breast cancer.

Private Healthcare Expenditure in China: A Regional Comparative Analysis

Private (out-of-pocket) healthcare expenditure (PHCE) is a complex phenomenon that is shaped by many different factors. In this paper, we analyzed the influencing factors of PHCE in China, with a specific focus on regional differences. We found that old-age dependency ratio, income, and education have significant impacts on PHCE in all regions, whereas public HCE, number of beds in medical institutions, and economic development levels have significant impacts only in some regions. The results indicate that the government should pay attention to regional inequality and implement targeted adjustments for improving the health service system. In particular, we recommend: (1) monitoring regional inequality in PHCE and other healthcare issues to unmask geographical differences in healthcare interventions; (2) adopting regional-specific policy measures—the government should divert some resources from eastern to western and central regions to increasing the support for public health undertakings and improve the quality of the local health services while providing matching medical resources by targeting the needs of the residents; (3) paying more attention to the healthcare demand of the elderly population; and (4) improving the education level of residents to improve public health and avoid high PHCE.

Will Innovation of Pharmaceutical Manufacturing Improve Perceived Health?

By taking 22 OECD countries from 2010 to 2017 as sample, we study the effect of pharmaceutical manufacturing innovation on perceived health by using the panel Tobit model from the entire sample and sub-samples, respectively, as well as analyze their transmission channels by adding moderating effect. Based on the above, we get the following results: first, the pharmaceutical manufacturing innovation 4 years ago has a positive influence on perceived health, which means the improvement of perceived health is closely related to pharmaceutical manufacturing innovation 4 years ago. Second, pharmaceutical manufacturing innovation has a heterogeneous impact on perceived health, which, including the size and direction of the impact effect, is mainly reflected in different pharmaceutical manufacturing innovation levels, population aging degrees, and education levels. Third, income level can positively regulate the impact of pharmaceutical manufacturing innovation on perceived health.