The impact of preventive behaviors on self-rated health, depression symptoms, and daily functioning among middle-aged and elderly Chinese: An empirical study.

INTRODUCTION: With the intensifying issue of an aging population, the health of middle-aged and elderly individuals garners increased attention. Preventive behaviors are pivotal in enhancing life quality and extending healthy living. This study examines the effects of preventive behaviors on self-rated health, depression, and daily functioning among these populations. MATERIALS AND METHODS: Drawing on data from the China Health and Retirement Longitudinal Study (CHARLS), this research applies a panel ordered probability model to scrutinize the influence of preventive behaviors on health outcomes among middle-aged and elderly populations. It utilizes self-rated health, depression, and daily functioning as pivotal health indicators to assess the effects. RESULTS: Preventive behaviors exert a significant impact on self-assessed health and daily functioning among middle-aged and elderly populations. Engagement in social activities effectively reduces depression symptoms. Primary preventive measures, including physical and social activities, enhance health outcomes through medical consultations. Conversely, secondary preventive actions, such as undergoing physical examinations, facilitate early detection of diseases, enabling timely intervention and health advisories. It is noteworthy that individuals with higher incomes derive lesser benefits from these physical or social endeavors. CONCLUSION: Sociodemographic determinants such as age, income, and educational attainment significantly modulate the efficacy of preventive behaviors on the health outcomes of middle-aged and elderly populations. This research underscores the pivotal role of physical examination services within primary healthcare frameworks and advocates for the tailoring of health promotion strategies to the accessible social needs and engagements of economically and educationally disadvantaged seniors.

Do the Marital Statuses of Adult Offspring Affect Their Parent's Mental Health? Empirical Evidence from China.

Given the aging population, various issues pertaining to the elderly attract attention, including their mental health. Using data from the China Health and Retirement Longitudinal Survey (CHARLS), and adopting a propensity score matching (PSM) method, this study investigated the impact of offspring's marital statuses on their elderly parents' mental health. Parental depression was positively correlated with single and divorced/separated offspring aged 30 and above; this was not the case with widowed children. We then analyzed the heterogeneous influence of offspring's marital statuses on parents' mental health based on gender, region, and educational background, further expanding the research.

Income distribution and health: What do we know from Chinese data?

In the last four decades, the problem of income inequality has gradually become one of the most serious social problems in China at both the regional and individual levels. Recently, the central government announced that the main social contradiction is that between people's growing need for a better life and unbalanced and insufficient economic development. In this study, we analyse the effects of income distribution on individuals' health using a series of indicators of income distribution and different measures of individuals' health status. By utilizing data from the China Health and Nutrition Survey (CHNS) from 1989 to 2015, our empirical findings show that self-reported health (SRH), activities of daily living (ADLs), and diabetes mellitus appear to be negatively related to the income share of rich people when average income is equalized among counties, which indicates that individuals' health will deteriorate as the income share of rich people increases. In addition, our results show that there is an inverted U-shaped relationship between income inequality, as measured by the county-level Gini coefficient, and individuals' health status. We also find that income inequality affects health through the accessibility of healthcare facilities and public infrastructures and through hazardous health behaviours such as smoking and alcohol use. These findings suggest that reducing income inequality could be an important means of improving the overall health of China's population.

Deregulation and pricing of medical services: a policy experiment based in China.

BACKGROUND: Price regulation is a common constraint in Chinese hospitals. Based on a policy experiment conducted in China on the price deregulation of private nonprofit hospitals, this study empirically examines the impact of medical service price regulation on the pricing of medical services by hospitals. METHODS: Using the claim data of insured inpatients residing in a major Chinese city for the period 2010-2015, this study constructs a DID (difference-in-differences) model to compare the impact of price deregulation on medical expenditure and expenditure structure between public and private nonprofit hospitals. RESULTS: The empirical results based on micro data reveal that, price deregulated significantly increased the total expenditure per inpatient visit by 10.5%. In the itemized expenditure, the diagnostic test and drug expenditure per inpatient visit of private nonprofit hospitals decreased significantly, whereas the physician service expenditure per inpatient visit increased significantly. For expenditure structure, the proportions of drug expenditure and diagnostic test expenditure per inpatient visit significantly decreased by 5.7 and 3.1%, respectively. Furthermore, this paper also found that hospitals had larger price changes for dominant diseases than for non-dominant diseases. CONCLUSIONS: Under price regulation, medical service prices generally become lower than their costs. Therefore, after price deregulation, private nonprofit hospitals increase medical service prices above their cost and achieve the service premium increasing physician medical services. Further, although price deregulation causes patient expenditure to increase to a certain level, it optimizes the expenditure structure, as well.

The inequality of health-income effect in employed workers in China: a longitudinal study from China Family Panel Studies.

BACKGROUND: The relationship between health and income is an essential part of human capital research. The majority of current analyses using classical regression models show that health has a significant impact on income after controlling for the endogeneity of health due to the measurement error and reverse causality. Currently, the Chinese government implements various policies including health related policies to fiercely fight for the domestic poverty issues, and thus only estimating the average effect of health on income could underestimate the impact for low income population and will make policy makers neglect or not pay enough attention to the significant role of health in poverty alleviation. To study the effect of health on income for workers at different income quantiles, we apply the quantile regression method to a panel data from a Chinese household survey. Furthermore, we test the heterogeneity of this health-income effect for different subgroups of workers characterized by sex, registered residence, and residential area. Lastly, we provide an explanation on the possible mechanism of the health-income effect. METHODS: This study uses data from four waves of the China Family Panel Studies (CPFS)- a biennial longitudinal study spanning from 2012 to 2018. The final data used in the regression analysis includes a balanced sample of 19,540 person-year observations aged between 18 to 70 years, with complete information of demographic and social economic status characteristics, job information, and health status of individuals. We use lagged self-reported health to control the potential endogeneity problem caused by reverse causality between health and income. Our identification on heterogenous treatment effects relies on panel quantile regressions, which generate more information than the commonly used mean regression method, and hopefully could reveal the effects of health on income for workers with income distributed at a wide range of quantiles. In addition, we compare the results derived from panel quantile regressions and mean regressions. Finally, we added interaction terms between health and other independent variables to recover the influence channel of health on income. RESULTS: The regression estimates show that the effects of health on income are more pronounced for workers distributed on the lower ends of income spectrum, and the health-income effect decreases monotonically with the increase of income. The treatment effect is robust to alternative measures of health and seems to be more pronounced for females than males, for rural workers than their urban counterparts. Finally, we find that health not only directly affects worker's income but also has different effects on income for different occupation cohorts. CONCLUSIONS: This study provides a different perspective on the impact of individual health status on income, uncovering the heterogeneous effects of health deterioration on income reduction for workers with different incomes by using panel data and rather advanced statistical techniques- panel quantile regressions. At present, the Chinese government is making every effort to solve the problem of poverty and our findings suggest public policies on health and income protections should emphasize different needs of workers with different incomes and special attention should be paid to low-income workers who are much more financially fragile to health deterioration than other income groups.