Impact of urban and rural residents medical insurance on self-rated health of residents in China: a panel study from the China family panel studies national baseline survey.

Objective: This study aimed to investigate the health performance of the Urban and Rural Residents Medical Insurance (URRMI) scheme in China and to make practical recommendations and scientific references for its full implementation in China. Methods: This is a panel study that uses data from the China Family Panel Studies from 2018 to 2020, which is separated into treated and control groups each year, utilizing the key approach of propensity score matching and difference-in-difference (PSM-DID). Using 1-to-1 k-nearest neighbor matching, we proportionate the baseline data. Using difference-in-difference model, we examine the mean treatment impact of the outcome variables. Using a 500-time random sample regression model, we validate the robustness of the model estimation. Results: The result was credible after matching, minimizing discrepancies. Good overall performance of self-rated health with an average Hukou status of, respectively, 0.8 and 0.4 in the treated and control group, primarily in rural and urban regions separately. The participation of URRMI significantly impacted self-rated health of residents, with a 0.456-unit improvement probabilities observed (p < 0.1). Additionally, the individuals are categorized into urban and rural, and those with urban hukou had a 0.311 expansion in the probability of having better health status compared to rural hukou (p < 0.05). Other factors, such as age, highest education, annual income, medical expenditure, hospital scale, clinic satisfaction, and napping, also impacted self-rated health. Moreover, elder individuals, higher education levels, and higher medical expenditure having a higher probability of improvement. The study utilized a placebo test to verify the robustness of the URRMI regression. The estimated coefficients showed that basic medical insurance did not significantly improve the health of insured residents under the URRMI scheme. Conclusion: The study demonstrates the crucial role of PSM-DID in determining the influence of URRMI on self-rated health status. It indicates that purchasing in URRMI has a favorable influence on the health of residents, advancing enhanced self-rated health effectiveness. It does, however, reveal geographical disparities in health, with urban dwellers faring far better than those who live in the suburb. Study suggests expanding URRMI coverage, narrowing urban-rural divide, increasing insurance subsidies, reforming laws, and developing effective advertising strategies.

Evidence From the China Family Panel Studies Survey on the Effect of Integrating the Basic Medical Insurance System for Urban and Rural Residents on the Health Equity of Residents: Difference-in-Differences Analysis.

BACKGROUND: The fragmentation of the medical insurance system is a major challenge to achieving health equity. In response to this problem, the Chinese government is pushing to establish the unified Urban and Rural Resident Basic Medical Insurance (URRBMI) system by integrating the New Rural Cooperative Medical Scheme and the Urban Resident Basic Medical Insurance. By the end of 2020, URRBMI had been implemented almost entirely across China. Has URRBMI integration promoted health equity for urban and rural residents? OBJECTIVE: This study aims to examine the effect of URRBMI integration on the health level of residents and whether the integration can contribute to reducing health disparities and promoting health equity. METHODS: We used the staggered difference-in-differences method based on the China Family Panel Studies survey from 2014 to 2018. Our study had a nationally representative sample of 27,408 individuals from 98 cities. We chose self-rated health as the measurement of health status. In order to more accurately discern whether the sample was covered by URRBMI, we obtained the exact integration time of URRBMI according to the official documents issued by local governments. Finally, we grouped the sample by urban and rural areas, regions, and household income to examine the impact of the integration on health equity. RESULTS: We found that overall, the URRBMI integration has improved the health level of Chinese residents (B=0.066, 95% CI 0.014-0.123; P=.01). In terms of health equity, the results showed that first, the integration has improved the health level of rural residents (B=0.070, 95% CI 0.012-0.128; P=.02), residents in western China (B=0.159, 95% CI 0.064-0.255; P<.001), and lower-middle-income groups (B=0.113, 95% CI 0.004-0.222, P=.04), so the integration has played a certain role in narrowing the health gap between urban and rural areas, different regions, and different income levels. Through further mechanism analysis, we found that the URRBMI integration reduced health inequity in China by facilitating access to higher-rated hospitals and increasing reimbursement rates for medical expenses. However, the integration did not improve the health of the central region and low-income groups, and the lack of access to health care for low-income groups was not effectively reduced. CONCLUSIONS: The role of URRBMI integration in promoting health equity among urban and rural residents was significant (P=.02), but in different regions and income groups, it was limited. Focusing on the rational allocation of medical resources between regions and increasing the policy tilt toward low-income groups could help improve the equity of health insurance integration.

The effect of urban-rural resident basic medical insurance on physical health of the rural older adult in China.

Introduction: Urban-Rural Resident Basic Medical Insurance (URRBMI) is an important system for effectively transferring disease risks to the rural older adult. As China experiences rapid aging, maintaining the physical health of the rural older adult is key to achieving the goal of healthy aging. Methods: The study explores the impact of URRBMI on physical health of the rural older adult in China using the Chinese Longitudinal Healthy Longevity Survey (CLHLS) data in 2018. Ordinary least square models were used to analyze the relationship between URRBMI and physical health of the rural older adult, and we used instrumental variable method to address the potential endogenous problem. Results: We find that URRBMI greatly improves physical health of the rural older adult. The heterogeneity analysis indicates that URRBMI contributes more significantly to the rural older adult in eastern areas and the advanced rural older adult. The results also suggested that URRBMI improves physical health of the rural older adult through increasing life satisfaction and enhancing the timeliness of medical services. Recommendations: This study implies that we need to further improve the participation rate, increase the actual reimbursement ratio and increase financial subsidies for URRBMI in central and western areas, and further integrate the distribution of medical resources to promote physical health of the rural older adult.

Effects of basic medical insurance integration on subjective wellbeing of residents in China: empirical evidence from a quasi-experiment.

Introduction: Enhancing the wellbeing of residents through universal health coverage (UHC) is a long-term policy goal for China. In 2016, China integrated the New Rural Cooperative Medical Scheme (NRCMS) and the Urban Resident Basic Medical Insurance (URBMI) into the Urban and Rural Resident Basic Medical Insurance (URRBMI) to address the problem of fragmentation. Objective: The objective of this study was to investigate whether the integration of basic medical insurance had an impact on the subjective wellbeing of Chinese residents. Methods: Using the China Household Finance Survey data of 2015 and 2019, we empirically estimated the influence of the integration of basic medical insurance on Chinese residents through the difference-in-difference method based on propensity score matching (PSM-DID). Results: Our findings indicate that the integration of basic medical insurance improved the subjective wellbeing of the insured population. Additionally, through heterogeneity testing, we validated that the integration increased the subjective wellbeing of residents from less developed regions in West China and rural areas, as well as those with older adult dependents. However, the subjective wellbeing of low-income groups, who were expected to benefit more from the URRBMI, did not improve significantly, at least in the short term. Conclusion: According to our research, the integration of basic medical insurance in China supports the country's objective of achieving equality and providing universal benefits for its residents. The introduction of the URRBMI has had a positive impact on the subjective wellbeing of insured individuals. This is particularly beneficial for disadvantaged groups in less developed regions, as well as for residents with older adult dependents. However, the subjective wellbeing of the middle-income group has improved significantly, whereas that of the low-income group, despite being the intended beneficiaries of the integration, did not show significant improvement. Recommendations: From a funding perspective, we recommend establishing a dynamic adjustment funding system that links residents' medical insurance funding standards with their disposable income. Regarding the utilization of the URRBMI, the benefit packages should be expanded, particularly by covering more outpatient services through risk pooling. We call for further research with additional data and continued efforts on improving wellbeing of residents, particularly for disadvantaged populations.

The association between Urban and Rural Resident Basic Medical Insurance and instrumental activity of daily living disability among middle-aged and older adults in China.

BACKGROUND: Previous studies have not investigated the association between medical insurance and instrumental activity of daily living (IADL) disability. To fulfill this research gap, this study aims to explore the association between Urban and Rural Resident Basic Medical Insurance (URRBMI) and IADL disability among middle-aged and older adults in China. METHODS: The data of this study were sourced from the 2018 wave of China Health and Retirement Longitudinal Study (CHARLS). Logit regression models were used to analyze the association between URRBMI and odds of suffering from IADL disability. Furthermore, we used IV-Probit regression model to address the potential endogeneity problem. Moreover, propensity score matching and generalized random forest model were employed to conduct robustness checks. RESULTS: The logit regression results reveal that URRBMI participation was significantly related to reduced odds of suffering from IADL disability by 39.86% after adjusting for the control variables (p < 0.01). The results of IV-Probit estimation show that URRBMI was an exogenous variable. Further robustness checks reported similar estimation results. The results of heterogeneity analysis reveal that URRBMI produced a statistically stronger effect on IADL disability for the older adults (OR = 0.5815, p < 0.01) when compared with the middle-aged adults (OR = 0.5690, p < 0.05). The results of impact channel analysis indicate that physical exercise was a channel involving the effect of URRBMI on IADL disability. CONCLUSION: This study finds that the middle-aged and older adults who were covered by URRBMI had a reduced possibility of suffering from IADL disability when compared with those without URRBMI. Furthermore, it is found that URRBMI produced a statistically stronger effect on IADL disability for the older adults when compared with the middle-aged adults. Moreover, we obtain evidence indicating that physical exercise was a channel involving the effect of URRBMI on IADL disability.

[The problems of rural health care and prospects of development].

Further reforming of the rural health care should be proceeded with special attention to availability of medical care in countryside.The purpose of the study is to develop on the basis of analysis of accounting data and research results recommendations for improving organizational forms of medical care to country dwellers. The exploration of peopleware and main performance indicators of medical organizations in rural areas was implemented.The statistical, analytical and sociological methods were applied. The reporting forms 47, 30, 12 of Federal statistical monitoring are analyzed.Results. The provision of population with medical personnel in rural municipalities in 2010-2018 increased from 12.5 to 14.5 per 10 thousand of rural population. The provision with paramedical personnel made up to 52.3%oo and during the same years indicator decreased from 55.4 to 52.3%oo. During the analysis period, 4241 feldsher obstetric posts were reduced and in 2018 their number made up to 33,350. The number of feldshers in rural areas decreased on 18.5%. In 2005-2018 number of central district hospitals and district hospitals decreased in 2.5 times. At that, provision of beds in municipalities of rural areas decreased from 49.6 to 38.8%oo. There significant winding up of district hospitals and their restructuring into branches of central district hospitals occurred. In 2018, remained only 47 out of them equipped with 1549 beds. Unfortunately, the reporting forms of the Ministry of Health of the Russian Federation do not account branches of central district hospitals. This information is to be included in accountability of the Ministry of Health.It is necessary to expand scope of authority of local government bodies in resolving medical and social problems in rural territories.

Construction and validation of a revised satisfaction index model for the Chinese urban and rural resident-based basic medical insurance scheme.

BACKGROUND: Quality is the most important factor in satisfaction. However, the existing satisfaction index model of urban and rural resident-based basic medical insurance scheme (SIM_URRBMI) lacks the segmentation of perceived quality elements, it couldn't provide a reference for quality improvement and satisfaction promotion. This study aims to construct a revised SIM_URRBMI that can accurately and detailly measure perceived quality and provide feasible and scientific suggestions for improving the satisfaction of urban and rural residents' basic medical insurance scheme (URRBMI) in China. METHODS: Based on the theoretical framework of the American Customer Satisfaction Index, the elements of perceived quality were refined through literature review and expert consultation, and a pool of alternative measurement variables was formed. A three-stage randomized stratified cluster sampling was adopted. The main decision makers of URRBMI in the families of primary school students in 8 primary schools in Changsha were selected. Both the classic test theory and the item response theory were used for measurement variables selection. The reliability and validity of the model were tested by partial least squares (PLS)-related methods. RESULTS: A total of 1909 respondents who had URRBMI for their children were investigated. The SIM_URRBMI1.0 consists of 11 latent variables and 28 measurement variables with good reliability and validity. Among the three explanatory variables of public satisfaction, perceived quality had the largest total effect (path coefficient) (0.737). The variable with the greatest effect among the five first-order latent variables on perceived quality was the quality of the medical insurance policy (0.472). CONCLUSIONS: The SIM_URRBMI1.0 consists of 28 measurement variables and 11 latent variables. It is a reliable, valid, and standard satisfaction measurement tool for URRBMI with good prediction ability for public satisfaction. In addition, the model provides an accurate evaluation of the perceived quality, which will greatly help with performance improvement diagnosis. The most critical aspects of satisfaction improvement are optimizing the scope and proportion of reimbursement as well as setting appropriate level of deductible and capitation of URRBMI.

Social Network, Cognition and Participation in Rural Health Governance.

Rural health governance is an important part of low-carbon green life, which is also related to the sustainable development and population health project in rural areas. Based on the survey data of 2343 rural residents in China, this study adopted a binary logistic regression model to explore the effects of rural residents' social network and cognition on their participation in rural health governance. The research results show that only less than 30% of the respondents participated in rural health governance, and the proportion of rural resident participating is not high. Both their social network and cognition have a significant impact on their participation in rural health governance. Introverted communication helps strengthen the connection between rural residents, form the network and structure of rural social communication, build emotional links and common interests, and form a common cultural understanding paradigm and action framework. The extraverted communication means that rural residents gradually break away from the social network of acquaintances, which is not conducive to building a rural community. Rural residents' understanding of behavior begins to deviate from rural culture, customs and emotional values, and the binding force of traditional culture is reduced, making it difficult to motivate them to participate in rural public life. Policy cognition can improve rural residents' recognition of the value and significance of health governance. Responsibility awareness is the internal driving force for rural residents to participate in health governance, which can also reduce the governance cost of rural managers. Based on this, increasing rural residents' introverted communication and cultivating their sense of responsibility are key to promoting their participation in rural health governance.

Rural population's preferences matter: a value set for the EQ-5D-3L health states for China's rural population.

PURPOSE: To develop an EQ-5D-3L social value set based on Chinese rural population's preferences using the time trade-off (TTO) method, and to compare the differences in preferences on health states between China urban and rural population. METHODS: Between Sep 2013 and Nov 2013, a total of 1201 participants were recruited from rural areas of five Chinese cities (Beijing, Chengdu, Guiyang, Nanjing, and Shenyang) using a quota sampling method. Each respondent valued 13 health states using the TTO, and a total of 97 EQ-5D-3L health states were directly valued for estimating the value set. Various models with different specifications were explored at both aggregate and individual levels. The final model was determined by a set of predefined selection criteria. FINDINGS: An ordinary least square model at the aggregate level included 10 dummy variables for specifying the level 2 and 3 for each dimension and an N3 term presenting any dimension on level 3 was selected as the final model. The final model provides a value set ranges from - 0.218 to 0.859. The predicted utility values were highly correlated with but consistently lower than that of the published Chinese EQ-5D-3L value set (for urban population). CONCLUSION: The availability of the China rural value set provides a set of social preferences weights for researchers and policy decision-makers for use in China rural area.

Equity in healthcare financing following the introduction of the unified residents' health insurance scheme in China.

This study sought to explore whether there are significant disparities in the financing of healthcare between urban and rural populations following the introduction in 2016 of the Urban and Rural Resident Basic Medical Insurance (URRBMI) scheme in China. We used household survey data from Heilongjiang province to estimate separate concentration curves in the financing burden and the resultant Kakwani indices (KIs) for urban and rural populations. This enabled the assessment of the progressivity (or otherwise) of this burden. The results show that in urban areas indirect taxes were proportional (KI = 0.0009, P = 0.8449), while indirect taxes in rural areas were progressive (KI = 0.0284, P = 0.0002). In both urban and rural areas, direct taxes were found to be progressive (urban: KI = 0.4628, P < 0.0001; rural: KI = 0.4087, P = 0.0064), while URRBMI was regressive (urban: KI = - 0.6236, P < 0.0001; rural: KI = - 0.4325, P < 0.0001). Out-of-pocket payments were proportional in urban areas (KI = - 0.0064, P = 0.7490); in contrast, they were regressive in rural areas (KI = - 0.1078, P = 0.0012). Overall, the burden of healthcare finance in urban China was found to be neither regressive nor progressive (KI = - 0.0142, P = 0. 1397), whereas in rural China it was found to be regressive (KI = - 0.1208, P < 0.0001). This result is driven by high reliance on regressive forms of funding, namely, fixed contributions to URRBMI, out-of-pocket costs and private health insurance. It is concluded that achieving equity in health financing in China will require strong measures to reduce the regressivity of financing, particularly for rural populations. This can be achieved through a shift towards means-adjusted URRBMI contributions, a greater reliance on tax-based financing and reducing the reliance on out-of-pocket payments and private health insurance.

Malignant tumors in farmers over 60 years old of the high-risk population in a town in Shanghai / 上海预防医学

Objective To screen for malignant tumors and high-risk factors in rural residents over 60 years old， so as to prevent and control the occurrence and development of tumors in the future. Methods The survey was conducted with reference to part of the questionnaire in the "Urban Cancer Early Diagnosis and Treatment Project and Evaluation of High-risk Populations". Clinical examinations included serum tumor marker detection， CT screening for lung cancer， occult blood （+） plus colonoscopy screening for colorectal cancer， and mammography screening. Individuals who were positive in the abovementioned clinical tests were defined as high-risk subjects. Results A total of 271 high-risk subjects （1.91%） were screened out of 14 161. Among the high-risk subjects， 71 cases of malignant tumors （26.19%） were found， with an incidence rate of 501.38 per 105. The top five tumors （63.38% of all diagnosed） were mainly concentrated in lung， upper digestive tract， blood system， urinary system， and rectum-colon. The proportion of malignant tumors detected by positive indicators was 61.54% of blood； 46.15% of carcinoembryonic antigen and carbohydrate antigen 125； 23.08% of alpha-fetoprotein； 16.66% of lung CT； and 3.09% of prostate PSA. The positive indicators in the high-risk subjects were mainly for the tumors in the prostate， lungs， liver， and CEA/CA125. The subjects with positive test indicators had lower average annual income in the last 5 years than the normal subject group （χ2=3.380， P=0.040）. The subjects with positive test indicators had higher proportion in family history of tumors than the normal group （χ2=2.596， P=0.046）. People in thehigh-risk group had a higher proportion than the normal group in suffering from hypertension， liver disease， gastrointestinal disease， respiratory system disease， and surgical treatment. Patients with high-risk tumors were found to have higher proportion than the normal group in showing pre-tumor clinical symptoms in the last 1 year. Study of the tumor-related risk factors found that the high-risk group had a higher proportion of high-fat/high-cholesterol diet， alcohol drinking， passive smoking， and personality depression. Conclusion High tumor risk factors have been identified in this population. It is necessary to strengthen the corresponding intervention and follow-up treatment of precancerous diseases in the future. We recommend the government to conduct tumor screening among high-risk groups to improve cost-effectiveness.

Iodine nutritional status, the prevalence of thyroid goiter and nodules in rural and urban residents: a cross-sectional study from Guangzhou, China.

OBJECTIVES: A variety of factors differed between rural and urban areas may further influence iodine status and thyroid structure. Hence, this study compared iodine nutrition, the prevalence of thyroid goiter, and nodules between rural and urban residents in Guangzhou, a southern coastal city of China. METHODS: A total of 1211 rural residents and 1305 urban residents were enrolled in this cross-sectional study. A questionnaire regarding personal characteristics was administered. Urinary iodine concentration (UIC) was examined. Ultrasonography of the thyroid was performed to evaluate thyroid goiter and nodules. Multiple logistic analysis was used to identify the potential associated factors. RESULTS: The median UIC was significantly lower in rural residents than in urban residents (120.80 µg/L vs 136.00 µg/L, P < 0.001). Although the coverage rate of iodized salt was much higher in rural residents than in urban residents (99.59% vs 97.29%, P < 0.001), the percentages of seafood intake (8.60% vs 29.29%, P < 0.001), iodine-containing drug consumption (0.33% vs 1.24%, P = 0.011), and iodine contrast medium injection (0.58% vs 1.87%, P = 0.004) were lower in rural residents than in urban residents. Both the prevalence of thyroid goiters and nodules was significantly higher in rural residents than in urban residents (goiter: 8.06% vs 1.20%, P < 0.001; nodules: 61.89% vs 55.04%, P = 0.023). Living in rural areas was associated with thyroid goiter (OR 5.114, 95% CI 2.893-9.040, P < 0.001). CONCLUSIONS: There were differences in iodine nutrition and the prevalence of thyroid goiter and nodules in rural and urban residents in Guangzhou. Differentiated and specialized monitoring is recommended in our area.

Do Social Pension Schemes Promote the Mental Health of Rural Middle-Aged and Old Residents? Evidence From China.

As China experiences rapid aging, the mental health of older rural adults has become a major public health concern. Among other social insurance programs, the New Rural Social Pension (NRSP) scheme was established to replace part of the income for old-age rural residents in China. This article employs survey data from the China Health and Retirement Longitudinal Study (CHARLS) in 2015 and 2018 to investigate the impact of a pension on depression in middle-aged and old residents. Our results show that the pension scheme not only reduces the depressive symptoms of the rural residents but keeps down the prevalence rate of depression. Among the subscribers of the pension scheme, the pensioners benefit more from enrolling in the pension scheme than the contributors in terms of depression alleviation. The impact of pension on depression displays heterogeneity; female residents, residents in central China, and/or those from lower income households are found to be positively affected. It is also confirmed that a pension scheme contributes to easing depression via reduced labor supply, better family support, and more consumption expenditure. JEL Classification: H55, I18, I38.

The association between Urban and Rural Resident Basic Medical Insurance and depressive symptoms among Chinese middle-aged and older adults: Evidence from the China Health and Retirement Longitudinal Study.

It is unclear that whether Urban and Rural Resident Basic Medical Insurance (URRBMI) is associated with depressive symptoms among middle-aged and older adults. To fulfill this research gap, this study aimed to investigate the association between URRBMI and depressive symptoms among the middle-aged and older adults in China. This data of this study was sourced from the 2018 wave of China Health and Retirement Longitudinal Study (CHARLS). Ordinary least squares (OLS) regression models were used to explore the association between URRBMI and depressive symptoms. Instrumental variable (IV) method was employed to address potential endogeneity problem which is caused by reverse causation and omitted variable bias. Propensity score matching (PSM) and doubly robust estimation were employed to conduct robustness checks. We provide robust evidence indicating that participation of URRBMI was significantly correlated with a reduced depression score. Moreover, we find that improving the utilization of inpatient and outpatient care may be important channels through which URRBMI relieved depressive symptoms.

The contribution of Urban and Rural Resident Basic Medical Insurance to income-related inequality in depression among middle-aged and older adults: Evidence from China.

OBJECTIVE: Previous studies have not investigated the contribution of medical insurance to income-related inequality in depressive symptoms. To fulfill this research gap, this study aimed to assess the contribution of Urban and Rural Resident Basic Medical Insurance (URRBMI) to income-related inequality in depressive symptoms among middle-aged and older adults in China. METHODS: The data of this study was obtained from the 2018 wave of China Health and Retirement Longitudinal Study (CHARLS). The data of Particulate Matter 2.5 (PM2.5) concentrations were sourced from Atmospheric Composition Analysis Group. Furthermore, concentration curve and concentration index were employed to measure the extent of income-related inequality in depressive symptoms. Moreover, decomposition method of concentration index was used to quantify the contribution of URRBMI to the income-related inequality in depressive symptoms. RESULTS: The concentration index values of depression occurrence and score were -0.1067 and -0.0712, respectively, indicating pro-rich inequality. The decomposition results reveal that the contribution rate of URRBMI to concentration index of depression occurrence was 18.88%, which indicates that it reduced the pro-rich inequality in depression occurrence. In addition, the contribution rate of URRBMI to concentration index of depression score was 3.55%, indicating that it relieved the pro-rich inequality in depression score. CONCLUSION: This study found pro-rich inequalities in depression occurrence and score which were reduced with the coverage of URRBMI. It is quite necessary to further expand the coverage of URRBMI.

Willingness of rural residents to pay for clean coal and stoves in winter: an empirical study from Zoucheng, Shandong.

Addressing climate change and improving air pollution have entered a critical period. Compared with the governance of industrial industries and transportation departments, the regulation of use of scattered coal, an important source of pollution burned by rural households for winter heating, has been relatively neglected. Promoting clean coal and stove products in rural areas is a major measure to mitigate winter pollution, and identifying the key factors influencing rural residents' willingness to pay (WtP) for clean coal and stoves is a prerequisite. This article uses the Tobit model to study the factors influencing rural residents in Zoucheng, Shandong Province, regarding their WtP for clean coal and clean stoves. The empirical analysis results are as follows: (1) The overall level of rural residents' WtP is low, and subsidies remain essential. The total respondent's average WtP for clean stoves was 271.33 yuan (RMB) per unit, and the average WtP for clean coal was 80.28 RMB per ton; the average WtP of the respondents with positive WtP for clean stoves was 321.48 RMB per unit, and the average WtP of the respondents with positive WtP for clean coal was 94.09 RMB per ton. (2) The order and direction of the factors affecting WtP for clean stove were as follows: self-interest values (-)>group norms (+)>past experience (+)>annual household income (+)>subsidy policy promotion (+)>income source (+)>household size (-). (3) The order and direction of the factors affecting the WtP for clean coal were as follows: heating necessity (+)>group norms (+)>past experience (+)>subsidy policy promotion (+)>annual household income (+)>income source (+). Finally, on the basis of the research findings, this paper proposes targeted policy implications to promote clean coal and stoves for the government and enterprises.

Association between fatty acid consumption and hypertension among rural residents in Hanzhong of Shaanxi Province / 西安交通大学学报(医学版)

【Objective】 To evaluate the associations of total fat and fatty acid consumption with the risk of hypertension among rural residents in Hanzhong, Shaanxi Province. 【Methods】 A cross-sectional survey on dietary status with a semi-quantitative food frequency questionnaire was conducted among rural residents aged between 18 and 80 years old in Hanzhong of Shaanxi. Multivariate log-binomial regression models and restricted cubic spline were used to explore the associations of dietary total fat, saturated fatty acid, polyunsaturated fatty acid and monounsaturated fatty acids with hypertension and as well as association between dose and response. 【Results】 A total of 2241 individuals were included, with 774 males and 1467 females. Monounsaturated fatty acid accounted for 51.9% of total dietary fat intake, while the other two fatty acids for 48.1%. The intake of dietary fat and any fatty acid in men was significantly in men higher than in women (P<0.001). Results of multivariable log-binomial regression indicated that after adjustment of energy, socio-demographic and lifestyles, the risk of hypertension reduced significantly in Q4 group, compared with that in Q1 (PR: 0.71, 95% CI: 0.54-0.92; P-trend: 0.022) in females. A nonlinear dose-response relationship between monounsaturated fatty acids and hypertension was detected by restricted cubic spline in women (Pnon-linear<0.01). No association was observed of total fat, saturated fatty acid and polyunsaturated fatty acid with hypertension regardless of the gender. 【Conclusion】 In women, increased consumption of monounsaturated fats might play a positive role in reducing the risk of hypertension. Further research is warranted to verify the rationality of causal inference and break-point.

Blood homocysteine level in Shanghai rural residents with high risk of stroke / 上海预防医学

Objective:To determine the blood level of homocysteine （Hcy） and its influencing factors among Shanghai rural residents with high risk of stroke and to verify if hyperhomocysteinemia （HHcy） is a main biomarker of stroke. Methods:With a clustered random sampling method， questionnaire survey and physical examination were conducted among 4 073 rural residents， aged 55 years and above， in Luojing community， Shanghai， in 2018. A total of 470 residents were at high-risk for stroke based on screening of plasma Hcy and other blood indicators. Multivariate logistic regression method was performed for data analysis. Results:The overall level of Hcy was （18.92±6.37）μmol/L， with （20.40±5.89）μmol/L for men and （17.87±2.12）μmol/L for women （t=5.431，P<0.001）. HHcy was detected in 78.94%（371/470） of the participants， in which 85.77%（235/274） were men and 69.39%（136/196） were women （χ2=12.400，P=0.001）. In the high-risk male group， subjects with smoking history， overweight or obesity， exercise frequency <1 h/d， and hypertension has a higher detection rate of HHcy than those without smoking history， normal body mass index， exercise frequency ≥1 h/d and without hypertension （χ2=11.340，8.170，8.200， and 12.400， respectively， all P<0.01）. However， there was no significant difference in HHcy detection rate in different age groups and between the patients with or without diabetes， and dyslipidemia（χ2=3.120，2.311， and 0.984， respectively， all P>0.05）. In the high-risk women group， HHcy detection rate increased with age （χ2=13.874，P<0.01）， and it was higher in participants with overweight or obesity， exercise frequency < 1 h/d， hypertension， and dyslipidemia（χ2=10.278， 13.840， 14.100， and 12.330， respectively， all P<0.01）. Unconditional logistic regression analysis showed that the factors affecting HHcy in the high-risk population of stroke include being male， smoking， hypertension， overweight and obesity. Conclusion:Screening of high-risk populations for stroke should include blood level of Hcy.

Impact of Credit Constraints from Formal Financial Institutions on Rural Residents' Health in China.

This is the first study in China that looks at the impact of credit constraints from formal financial institutions on Chinese rural residents' health. We use the Chinese Household Income Project (CHIP) data collected by the Annual Household Survey Office of Integration of Urban and Rural in the National Bureau of Statistics in 2014. We measure rural residents' health status with self-rated health assessment and the number of sick days in 2013. The results obtained from using the ordered probit model show that, in general, credit constraints from formal financial institutions significantly and negatively affect the self-rated health of Chinese rural residents. When an endogeneity issue is addressed using the instrumental variable (IV) approach, this paper's results are still robust. The results also show that the impact of credit constraints from formal financial institutions on rural residents' self-rated health is significant in male, female, married, and unmarried sub-groups. Further, we find that credit constraints from formal financial institutions impact rural residents' health through income and economic vulnerability. The findings have implications for preventing rural residents from falling into a health trap due to credit constraints from formal financial institutions.

Analysis of the effect of serious illness medical insurance on relieving the economic burden of rural residents in China: a case study in Jinzhai County.

BACKGROUND: In 2003, China established a New Rural Cooperative Medical System (NRCMS) for rural residents to alleviate the burden of medical expenses among rural residents. However, its reimbursement for high medical costs was insufficient. Therefore, China gradually established the Serious Illness Insurance System (SIMIS) based on NRCMS. After receiving payment through NRCMS, patients in rural areas who met the requirements of SIMIS policy would receive a second payment for their high medical expenses. This study aimed to analyze the effect of the implementation of SIMIS on alleviating the economic burden of rural residents in Jinzhai County. METHODS: The study used the inpatient reimbursement data of NRCMS in Jinzhai County, Anhui Province, from 2013 to 2016. We adopted descriptive and regression discontinuity (RD) methods to analyze the payment effect of SIMIS. The RD analysis targeted patients (n = 7353) whose annual serious illness expenses were between CNY 10,000 (1414 USD) and CNY 30,000 (4242 USD), whereas the descriptive analysis was used for data of the patients compensated by SIMIS (n = 2720). RESULTS: The results of RD showed that the actual medical insurance payment proportion increased by about 2.5% (lwald = 0.025, P < 0.01), inside medical insurance self-payment proportion increased by about 2% (lwald = 0.020, P < 0.10), and outside medical insurance self-payment proportion decreased by about 1.6% (lwald = - 0.016, P < 0.05). The descriptive results showed that patients with serious illnesses mostly chose to go to a hospital outside the county. The annual average number of hospitalizations was 3.64. The reimbursement mainly came from the NRCMS. The payment amount of SIMIS was relatively small, and the out-of-pocket medical expenses were still high. CONCLUSION: The medical technology level of Jinzhai County could not meet the needs of patients with seriously illnesses, the number of beneficiaries of SIMIS was small, and the ability to relieve the burden of medical expenses of the rural residents was insufficient. The high out-of-pocket expenses increased the possibility that only people with good economic conditions could benefit from the reimbursement of SIMIS, resulting in inequity.