China Health Research Articles

Estimated GFR Decline is Causally Associated with Acute Pulmonary Embolism: A Nested Case-Control and Mendelian Randomization Study.

Renal dysfunction is highly prevalent among patients with pulmonary embolism (PE). This study combined population-based study and Mendelian randomization to observe the relationship between renal function and PE. A nested case-control study were performed using data of PE patients and controls were from two nationwide cohorts, the China pUlmonary thromboembolism REgistry Study (CURES) and China Health and Retirement Longitudinal Survey (CHARLS). Baseline characteristics were balanced using propensity score matching and inverse probability of treatment weighting. Restricted cubic spline models were applied for the relationship between estimated glomerular filtration rate (eGFR) decline and the risk of PE. Bidirectional two-sample Mendelian randomization (MR) analyses were performed using Genome-wide association study summary statistics for eGFR involving 1,201,909 individuals and for PE from the FinnGen consortium. The nested case-control study including 17,547 participants (6,322 PE patients) found that eGFR distribution was significantly different between PE patients and controls (P<0.001), PE patients had a higher proportion of eGFR<60 mL/min/1·73 m2. eGFR below 88 mL/min/1·73 m2 was associated with a steep elevation in PE risk. MR analyses indicated a potential causal effect of eGFR decline on PE (OR=4·26, 95%CI 2·07-8·79), with no evidence of horizontal pleiotropy and reverse causality. Our findings support the hypothesis that renal function decline contributes to an elevated PE risk. Together with the high prevalence of chronic kidney diseases globally, there arises the necessity for monitoring and modulation of renal function in effective PE prevention.

The impact of long-term care insurance on healthcare utilization and expenditures among middle-aged and older Chinese adults: a quasi-experiment study

BackgroundLong-term care insurance (LTCI) is essential to alleviate the challenges of rapid aging. Research on LTCI in developing countries is limited and conclusions remain controversial. This study aims to empirically evaluate how the LTCI pilot in selected cities influences healthcare utilization and expenditures among middle-aged and older Chinese adults.MethodsData was from 2013, 2015, and 2018 China Health and Retirement Longitudinal Study. 167 LTCI and 8225 non-LTCI group participants were identified. Propensity score matching difference-in-difference method was used to evaluate the net effect of LTCI. The robustness of the findings was tested using a placebo test.ResultsIn the pilot cities, around 17.8% of the population had LTCI coverage, with approximately 59.9% participating in urban employee medical insurance and 81.4% being urban residents. LTCI significantly reduced the monthly out-of-pocket outpatient expenditure by 313.764 yuan (P < 0.05), but had no significant effects on the inpatient utilization and expenditure. Further analysis of vulnerable subgroup revealed that LTCI decreased monthly outpatient visits frequency, total outpatient expenditure, and out-of-pocket outpatient expenditure by 0.523 times, 643.500 yuan, and 302.367 yuan, respectively (P < 0.05). Robustness tests confirmed the stability of these results.ConclusionsThe LTCI coverage rate has remained low. While LTCI has contributed to reducing outpatient utilization and expenditure, its impact on controlling inpatient-related outcomes is limited. It is recommended to broaden LTCI coverage beyond existing participants to encompass more vulnerable populations, and improve awareness and quality of LTCI services to achieve a significant effect on inpatient care.

Individual and joint effects of diabetes and depression on incident cardiovascular diseases and all-cause mortality: Results from a population-based cohort study

AimsTo assess the individual and joint effects of diabetes and depression on all-cause mortality and cardiovascular disease (CVD) in the middle-aged and elderly Chinese populations. Methods9105 individuals without CVD from the China Health and Retirement Longitudinal Study (CHARLS) were included and followed up for 9 years. Participants were divided into four comparative groups: diabetes alone, depression alone, both conditions, and neither condition. Multivariate binary logistic regression models were performed to compare the risks of all-cause mortality and CVD among the four groups. ResultsWhen compared to those without diabetes and depression, the multivariate adjusted odds ratios (aORs) for CVD in individuals who had diabetes only, depression only, and both diabetes and depression were 1.245 (95 % CI 1.023 to 1.515), 1.318 (95 % CI 1.171 to 1.485) and 1.722 (95 % CI 1.361 to 2.178), respectively. The aORs for all-cause mortality were 1.366 (95 % CI 1.035–1.804) for diabetes alone, 1.082 (95 % CI 0.916–1.279) for depression alone, and 1.590 (95 % CI 1.152–2.195) for both conditions when compared with those with neither condition. ConclusionsIndividuals with both diabetes and depression had greater risk of CVD and all-cause mortality when compared to those with diabetes or depression alone, or those without either condition.

Impact of medical-nursing combined policy pilot on hospitalization frequency of middle-aged and older patients with chronic diseases: a quasi-experimental study based on China Health and Retirement Longitudinal Study.

To address the growing burden of older adult care, the Chinese government has introduced a policy that integrates medical care with elder care, launching two batches of national pilot projects. A majority of the older adult population suffers from one or more chronic diseases, with many experiencing multiple chronic conditions, necessitating support from both elder care and medical services. Using panel data from the China Health and Retirement Longitudinal Study (CHARLS) spanning 2011 to 2020, this study employs the difference-in-difference (DID) model to analyze the impact of the integrated medical-nursing policy on the physical health of older patients with chronic diseases. The study found that the average annual number of hospitalizations for older individuals with one or more chronic diseases was 0.276. The integrated medical-nursing policy reduced hospitalizations by 0.0405. Additionally, the average annual hospitalization rate for older individuals with two or more chronic diseases was 0.339, higher than the former group. The integrated medical-nursing policy reduced hospitalizations by 0.0738 in this group. The pilot study demonstrates that the implementation of the integrated medical-nursing policy has significantly improved the physical health of older patients with chronic diseases. The government should promote these policies on a larger scale, explore various forms of integrated medical care, and provide more comprehensive medical and elder care services for older patients with chronic diseases.

Intraindividual Discordance Between Remnant Cholesterol and Low-Density Lipoprotein Cholesterol Associated With Incident Stroke: Results From 2 National Cohorts.

The atherogenic effect of remnant cholesterol is being increasingly acknowledged. This study aimed to explore the association of discordance between remnant cholesterol and low-density lipoprotein cholesterol with stroke onset using 2 Chinese national cohorts. We studied 11 139 participants from CHARLS (China Health and Retirement Longitudinal Study) and 5993 participants from CHNS (China Health and Nutrition Survey) aged 45 years or older. The discordance between remnant cholesterol and low-density lipoprotein cholesterol was defined using the difference in percentile units (>15 units). There were 988 (8.9%) and 128 (2.1%) stroke events reported during follow-up in the 2 cohorts. Elevated remnant cholesterol was significantly associated with a higher risk of total stroke in 2 cohorts. After adjusting for remnant cholesterol level, the discordantly high remnant cholesterol group was significantly associated with an increased stroke risk (CHARLS: subdistribution hazard ratio [sHR], 1.31 [95 CI, 1.10-1.55]; CHNS: sHR, 1.84 [95 CI, 1.15-3.08]) compared with the discordantly low group. Consistent results were shown even among those with optimal low-density lipoprotein cholesterol level. The discordance between remnant cholesterol and low-density lipoprotein cholesterol, representing the intraindividual discrepancy, is significantly associated with stroke onset among Chinese adults.

Education, urbanicity of residence, and cardiometabolic biomarkers among middle-aged and older populations in the US, Mexico, China, and India

BackgroundThe relationship between education and cardiometabolic biomarkers is contextually dependent on both inter-country and intra-country factors. This study aimed to examine educational differences in cardiometabolic biomarkers among middle-aged and older adults in the US, Mexico, China, and India, and whether this relationship is modified by urbanicity of residence. MethodsData were from contemporary cross-sectional waves of the US Health and Retirement Study (HRS; 2016/17, n = 19,608), the Mexican Health and Aging Study (MHAS; 2015, n = 12,356), the China Health and Retirement Longitudinal Study (CHARLS; 2015/16, n = 13,268), and the Longitudinal Aging Study in India (LASI; 2017/19, n = 47,838). To account for substantial variations in educational distribution across the four countries, we measured education attainment in two ways: by categorizing education levels into binary classifications (‘lower education: lower secondary education or below' vs. 'higher education: upper secondary education or above') to assess absolute education attainment, and by using within-country percentile ranks to capture relative education attainment. We assessed educational differences in four cardiometabolic biomarkers: body mass index (BMI), systolic blood pressure (SBP), glycated haemoglobin (HbA1c), and total cholesterol. We tested whether urbanicity of residence modified the relationship between education and these cardiometabolic biomarkers. ResultsThe proportion of individuals with higher education was 82.6% in the US, 15.6% in Mexico, 10.6% in China, and 16.8% in India. In the US, higher education was associated with lower SBP (−2.74 mmHg, 95% CI: −3.62, −1.86) and HbA1c (−0.14%, 95% CI: −0.20, −0.08), but higher total cholesterol (3.33 mg/dL, 95% CI: 1.41, 5.25). In Mexico, higher education was associated with lower BMI only (−0.51 kg/m2, 95% CI: −0.76, −0.26). In China, higher education was not associated with any biomarker. In India, higher education was associated with higher BMI (1.61 kg/m2, 95% CI: 1.49, 1.73), SBP (1.67 mmHg, 95% CI: 1.16, 2.18), and HbA1c (0.35%, 95% CI: 0.19, 0.51). The association between education and cardiometabolic biomarkers was modified by urbanicity in China and India but not in the US or Mexico. In both China and India, relationships between education and cardiometabolic biomarkers were stronger among rural residents compared to those among urban residents. Results based on relative education attainment showed similar patterns in terms of the direction of the effect estimates, despite some discrepancies in statistical significance. InterpretationThere is a complex relationship between education and cardiometabolic biomarkers across countries and by urbanicity of residence. This complexity underscores the importance of accounting for contextual factors when devising strategies to enhance cardiometabolic health in various settings.

Association between social media use and depressive symptoms in middle-aged and older Chinese adults

The burden of depressive symptoms among middle-aged and older Chinese during the COVID-19 pandemic is unclear, and the contribution of social media use to depressive symptoms in this population has not been studied. To address the gaps, we analyzed data from the China Health and Retirement Longitudinal Study, nationally representative biannual surveys among adults aged ≥45 years. Social media use and depressive symptoms were measured in the 2018 and 2020 surveys. We tested longitudinal associations between baseline (2018) social media activities and risk of depressive symptoms in two years among 9121 participants without depressive symptoms. We also evaluated whether social media activity could reduce depressive symptoms during this period among 5302 individuals with depressive symptoms at baseline. Depressive symptoms affected 36·0% of this population in 2020. Women, individuals living in rural areas, and residents of western China provinces were particularly affected. Among participants without depressive symptoms, engaging in social media activities at baseline was associated with a 24.0% (95% confidence interval [CI]: 10–36%) lower likelihood of developing depressive symptoms over the next two years. Among depressed participants, compared to individuals not using social media, those initiating three or more social media activities during this period had 1.24 (95% CI: 1.05–1.46) times higher chance of becoming non-depressed, and those using social media all the time were 1·36 (95% CI: 1·09–1·72) times more likely to become non-depressed. In conclusion, middle-aged and older Chinese adults have a substantial burden of depressive symptoms, and social media activities may help to prevent and reduce the symptoms.

Air pollution, healthcare use, and inequality: Evidence from China

This study provides the first investigation into the causal distributional effects of air pollution on healthcare utilization in China. Studies have addressed the average impact of air pollution in developed countries while overlooking its distributional effects in developing nations where inequality is evident. We obtained data from the China Health and Retirement Longitudinal Study and employed wind direction as an instrumental variable. The findings indicate that air pollution significantly increased inpatient care use among individuals aged 60 and above. Moreover, the study documents significant disparities between and within urban and rural populations. The mechanism analysis indicates that accessibility of healthcare services contributes to inequality. Contributing factors include China's Hukou system, health insurance system, and the distance to hospitals in rural areas. The findings indicate that air pollution intensifies health inequality in the developing world while suggesting that policies to increase healthcare equity could generate significant welfare benefits.

Patterns of intrinsic capacity trajectory and onset of activities of daily living disability among community-dwelling older adults.

Global population ageing has brought about new challenges for elderly care. Exploring intrinsic capacity (IC) over time, which is designed as a composite measure of an individual's physical and mental capabilities, is essential for promoting healthy ageing and preventing dependency, such as that emerging from disability in activities of daily living (ADL). We aimed to identify and examine the differences between classes of IC trajectory and onset of ADL disability. We conducted an observational study using data from three waves (2011-15) of the China Health and Retirement Longitudinal Study, comprising 2609 participants with 6034 observations. IC was measured by five domains, including locomotion, cognition, psychological, sensory capacities, and vitality. We used joint latent class modelling to identify distinct classes with similar patterns of IC trajectory and onset of ADL disability, as well as to explore the variation in IC trajectory and predict five-year risks of ADL disability considering the heterogeneity in the elderly population. The average baseline IC score was 7.15 (range: 0-15). We observed that IC scores slowly decreased with age, with 17.25% of participants developing ADL disability. We identified three classes of IC, which could be described as moderate health (class 1: n = 1634, 62.63%), at-risk (class 2: n = 716, 27.44%; had the highest risk of ADL disability), and optimal health (class 3: n = 259, 9.93%; had the lowest baseline risk of ADL disability). The probability of being in the moderate health class was decreased the most by emotional problems (odds ratio (OR) = 0.219; P < 0.001). Having a self-rated poor standard of living substantially reduced the chances of moderate (OR = 0.308; P = 0.001) and optimal health (OR = 0.110; P < 0.001). Observing IC trajectories and the onset of ADL disability can stratify the elderly into heterogeneous groups, as well as provide data for implementing person-centred care plans to reverse the trend and delay the adverse outcomes in clinical practice.

Associations between socioeconomic status and dynamic development of physical,psychological and cognitive degenerative multimorbidity among middle aged and older adults in China

Objective: To analyze the dynamic development of physical, psychological, and cognitive degenerative multimorbidity among middle-aged and older Chinese adults (≥45 years old) while estimating the longitudinal association between socioeconomic status (SES) and the progression of multimorbidity. Methods: Based on data from the China Health and Retirement Longitudinal Study (2011-2020), the Sankey diagram was used to show the dynamic development of physical, psychological, and cognitive degenerative multimorbidity from 2011 to 2020. SES was constructed based on the level of education and total household wealth. Logistic regression was used to estimate OR and 95%CI to evaluate the association between SES and the progression of multimorbidity. Results: Of the 5 393 participants included, 4 484 (83.14%) of them developed new diseases, and the prevalence of physical, psychological, and cognitive degenerative multimorbidity increased from 38.04% to 74.23%. Compared to those with no reported disorders at baseline, participants with psychological disorder (for newly developed physical-cognitive multimorbidity: OR=4.59,95%CI: 2.89-7.29), cognitive disorder (for newly developed physical-psychological multimorbidity: OR=2.24,95%CI: 1.40-3.60), or their multimorbidity at baseline were more likely to progress to physical, psychological, and cognitive degenerative multimorbidity. After adjusting covariates, individuals with low SES were more likely to develop physical diseases (OR=1.45, 95%CI: 1.11-1.89), cognitive disorder (OR=1.84, 95%CI: 1.16-2.91), physical-psychological multimorbidity (OR=1.87, 95%CI: 1.37-2.56), physical-cognitive multimorbidity (OR=3.58, 95%CI: 2.54-5.06), psychological-cognitive multimorbidity (OR=5.66, 95%CI: 3.04-10.55), and physical-psychological-cognitive multimorbidity (OR=3.21, 95%CI: 2.06-5.01) in comparison to those with high SES. There is a dose-response relationship between SES and the multimorbidity progression (all trend P<0.001). Conclusions: The prevalence of physical, psychological, and cognitive degenerative multimorbidity increased significantly among middle-aged and older Chinese adults. Lower SES was associated with multiple patterns of physical, psychological, and cognitive disorders progression.

Association of dietary patterns with serum uric acid and hyperuricemia in Chinese adults

Objective: To analyze the dietary patterns of Chinese adults and explore the relationship with serum uric acid (SUA) and hyperuricemia (HUA). Methods: A total of 9 358 adults were selected in the 2018 China Health and Nutrition Survey. Dietary intake data were collected by three consecutive 24-hour dietary recalls and weighing method. The social demographic information of the survey subjects was obtained through questionnaire surveys. The dietary patterns were extracted using factor analysis, and the relationship between dietary patterns and SUA was analyzed using multiple linear regression analysis. The correlation between HUA and dietary patterns was analyzed using logistic regression analysis models. Results: Four dietary patterns were identified: northern (high intakes of wheat, other cereals,and tubers); modern (high intakes of fruit, dairy, eggs, and nuts); southern (high intakes of rice and vegetables);animal food-wine (high intake of organ meats, seafood, and wine). The multiple linear regression analysis results showed that the northern pattern was negatively correlated with SUA (β=-0.438, 95%CI: -0.500--0.376); the modern pattern was negatively correlated with SUA (β=-0.134, 95%CI: -0.219--0.049); the southern model was significantly correlated with higher SUA (β=0.146, 95%CI: 0.079-0.214); the animal food-wine pattern was positively correlated with SUA (β=0.188, 95%CI: 0.123-0.252). Logistic regression analysis showed that compared with the northern model score Q1 group, the risk of developing HUA was reduced in Q3 and Q4 groups, with ORs values of 0.777 (95%CI: 0.650-0.929) and 0.509 (95%CI: 0.423-0.613), respectively; and compared with the modern model score Q1 group, the higher the scores in Q3 and Q4 groups, the HUA was lower, with ORs of 0.793 (95%CI: 0.660-0.953) and 0.768 (95%CI: 0.631-0.934), respectively. Compared with the animal food-wine pattern score Q1 group, the risk of developing HUA was increased in both Q3 and Q4 groups (Q3 group: OR=1.224, 95%CI: 1.012-1.480; Q4 group: OR=1.312, 95%CI: 1.086-1.584). Conclusions: Dietary patterns are associated with HUA. The northern and modern patterns are related to lower SUA levels and reduced risk of HUA, while the animal food-wine pattern increases the risk of HUA.

Impact of physical activity on life satisfaction among middle-aged and older adults in China: A longitudinal national study.

This study examined the impact of physical activity on life satisfaction in middle-aged and older adults in China. Utilizing longitudinal data from the China Health and Retirement Longitudinal Study (CHARLS) conducted in 2015 and 2018, a total of 6484 participants aged 45 or older were included in the analysis. Data were collected on sociodemographic, health, and lifestyle variables, physical activity, and life satisfaction. Physical activity was categorized into 3 levels: low (71%), moderate (25%), and high (4%). Ordinal logistic regression and subgroup analysis were used to examine the effect of baseline physical activity on life satisfaction, including the examination of interaction effects. After adjusting for age, gender, education, marriage, residence, smoking, alcohol use, depressive symptoms, and self-rated health at baseline (2015), compared to the moderate-intensity physical exercise group, those in the low-intensity group experienced significantly lower levels of life satisfaction on follow-up (2018). In the subgroup analyses, a significant negative effect of low-intensity physical activity on life satisfaction was found in all groups regardless of age, education, marital status, smoking, alcohol use, sleep duration, weight, presence of chronic diseases, or self-rated health. These results support the promotion of physical exercise to enhance life satisfaction among middle-aged and older adults in China.

The association between living alone and depressive symptoms in older adults population: evidence from the China Health and Retirement Longitudinal Study.

The goal of this research was to reveal the association between living alone and depressive symptoms in older adults. It also aims to explore the mediating role of social activity and adult children's relationship satisfaction. Ultimately, the study seeks to add to the body of knowledge for lowering the risk of depression among older people and promoting positive aging. Based on information from the 2020 China Health and Retirement Longitudinal Study, the ordinary least square (OLS) regression model and propensity score matching (PSM) were used to investigate the association between living alone and depressive symptoms in older adults and to explore possible heterogeneity in different groups. Utilizing the SPSS PROCESS macro application, the mediation model was constructed. The significance of the mediation effect was investigated using the Bootstrap technique. The average level of depressive symptoms of older people living alone (10.55 ± 6.962) was higher than that of older people who do not live alone (8.80 ± 6.363). The baseline regression analysis revealed a significant connection between living alone and the depressive symptoms of older people (β = 0.842, p < 0.001). The association between living alone and the level of depressive symptoms was significantly higher in those aged 60-74 years (β = 1.698, p < 0.001) than in those aged 75 and older (β = 0.953, p < 0.05). The association between living alone and depressive symptoms was significantly higher in rural older adults (β = 1.512, p < 0.001) than in urban older adults (β = 1.141, p < 0.001). Between living alone and the level of depressive symptoms experienced by older people, there was a substantial mediation impact on social engagement and adult children's relationship satisfaction, which contributed to 2.91 and 13.62% of the overall effect. For older age groups, living alone is associated with higher levels of depressive symptoms. This effect is stronger in older adults aged 60-74 or rural areas. In older age groups, the association between living alone and depressive symptoms is mediated by social activity and adult children's relationship satisfaction.

Insulin resistance and sarcopenia: a prognostic longitudinal link to stroke risk in middle-aged and elderly Chinese population

BackgroundStroke is the leading cause of death in middle-aged and elderly people in China. Insulin resistance (IR) and sarcopenia are both closely associated with metabolic diseases. However, the relationship between these two indicators and stroke has not been fully investigated. The aim of this study was to investigate the relationship between IR and sarcopenia and the risk of new-onset stroke.MethodsUsing longitudinal data from the China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2018, Cox proportional hazards models were used to determine the association between IR surrogate indicators and sarcopenia status with stroke incidence.ResultsIn the present study, during a median 7 years of follow-up, we included 7009 middle-aged and elderly residents, of whom 515 presented with stroke incidence. After adjustment for potential confounders, both baseline IR surrogates and sarcopenia independently predicted stroke risk. In addition, co-morbidities had a higher risk of stroke than other groups. The positive association between TyG-WC and sarcopenia on stroke risk was particularly significant [HR (95% CI): 2.03 (1.52, 2.70)]. In subgroups of different ages and sexes, the combination of IR and sarcopenia is associated with the highest risk of stroke.ConclusionsWe found that IR and sarcopenia synergistically increase the incidence of stroke in older adults. This finding provides new perspectives for stroke detection and intervention and highlights the importance of early detection and management of IR and sarcopenia in older adults.

Grip strength and depressive symptoms in Chinese middle-aged and older adults: the mediating effects of cognitive function.

This study investigates the associations and mediating pathways between grip strength, cognitive function, and depression in middle-aged and elderly individuals in China. Utilizing data from the 2011 China Health and Retirement Longitudinal Study (CHARLS), we employed logistic regression and mediation analysis to examine the relationships and mediating factors between grip strength, cognitive function, and depression, while adjusting for potential confounders. The study included 6,841 participants, of whom 1,734 (25.35%) exhibited symptoms of depression. Our findings indicate that weak grip strength is significantly associated with an increased risk of depression (OR: 1.57, 95% CI: 1.32-1.87) among the middle-aged and elderly population. Conversely, good cognitive function was found to be protective against depression (OR: 0.94, 95% CI: 0.93-0.95). Grip strength indirectly affected depression through cognitive function, accounting for 9.4% of the total effect (β = -0.008, 95% CI [-0.013, -0.004]). This mediating effect was 23.8% in men (β = -0.013, 95% CI [-0.020, -0.007]); and 23.2% in those aged 60 years and over (β = -0.015, 95% CI [-0.022, -0.009]). This study highlights that weak grip strength increases risk of depressive symptoms, and adequate cognitive function can mitigate the association between weak grip strength and an increased risk of depression among middle-aged and elderly individuals in China. Psychological care for elder adults with weak grip strength and poor cognitive function should be strengthened.

Determinants of Visual Impairment Among Chinese Middle-Aged and Older Adults: Risk Prediction Model Using Machine Learning Algorithms.

Visual impairment (VI) is a prevalent global health issue, affecting over 2.2 billion people worldwide, with nearly half of the Chinese population aged 60 years and older being affected. Early detection of high-risk VI is essential for preventing irreversible vision loss among Chinese middle-aged and older adults. While machine learning (ML) algorithms exhibit significant predictive advantages, their application in predicting VI risk among the general middle-aged and older adult population in China remains limited. This study aimed to predict VI and identify its determinants using ML algorithms. We used 19,047 participants from 4 waves of the China Health and Retirement Longitudinal Study (CHARLS) that were conducted between 2011 and 2018. To envisage the prevalence of VI, we generated a geographical distribution map. Additionally, we constructed a model using indicators of a self-reported questionnaire, a physical examination, and blood biomarkers as predictors. Multiple ML algorithms, including gradient boosting machine, distributed random forest, the generalized linear model, deep learning, and stacked ensemble, were used for prediction. We plotted receiver operating characteristic and calibration curves to assess the predictive performance. Variable importance analysis was used to identify key predictors. Among all participants, 33.9% (6449/19,047) had VI. Qinghai, Chongqing, Anhui, and Sichuan showed the highest VI rates, while Beijing and Xinjiang had the lowest. The generalized linear model, gradient boosting machine, and stacked ensemble achieved acceptable area under curve values of 0.706, 0.710, and 0.715, respectively, with the stacked ensemble performing best. Key predictors included hearing impairment, self-expectation of health status, pain, age, hand grip strength, depression, night sleep duration, high-density lipoprotein cholesterol, and arthritis or rheumatism. Nearly one-third of middle-aged and older adults in China had VI. The prevalence of VI shows regional variations, but there are no distinct east-west or north-south distribution differences. ML algorithms demonstrate accurate predictive capabilities for VI. The combination of prediction models and variable importance analysis provides valuable insights for the early identification and intervention of VI among Chinese middle-aged and older adults.

Long-term effects of establishing outpatient pooling funds on financial protection: Empirical evidence from a quasi-natural experiment in China.

A limited benefit package for outpatient care in Chinese universal health coverage led to high out-of-pocket outpatient payments, and even medical impoverishment. The outpatient pooling fund model was introduced in China's Urban Employee Basic Medical Insurance to reduce cost-sharing for outpatient care. This study attempts to examine the dynamic effects of the outpatient pooling scheme on financial risk protection for its enrollees. A total of 18,097 individual-level observations covering 52 prefectures were extracted from six waves of China Health and Nutrition Survey (2000-2015). The difference-in-differences model with multiple periods and event study were employed to investigate the dynamic effects of reform on catastrophic health expenditure (CHE) and impoverishing health expenditure (IHE) and potential mechanisms. Our results showed outpatient pooling scheme generated a significant effect on reducing the probability of incurring CHE (β=-0.004, 95% CI=-0.009 to -0.006) and IHE (β=-0.007, 95% CI=-0.012 to -0.001), especially for elderly people over 60years old. The realization of this effect may depend on the reduction of outpatient cost-sharing, increased outpatient care utilization, as well as decreased inpatient care utilization after reform. However, event study found the effectiveness of outpatient pooling reducing CHE and IHE occurrences appeared to be weak even insignificant in more recent years relative to the initial years of policy implementation. Establishing an outpatient pooling system iseffective to alleviate the financial risk caused by healthexpenditures in China. Optimising health service deliveryaimed at enhancing health insurance purchasing efficiencyare deemed imperative for sustaining the policy effectiveness.

Atherogenic index of plasma and obesity-related risk of stroke in middle-aged and older Chinese adults: a national prospective cohort study.

The association between the atherogenic index of plasma (AIP) and stroke risk is uncertain. Overweight and obese individuals frequently develop atherosclerosis, suggesting AIP may mediate the relationship between body mass index (BMI) and stroke risk. This study investigates whether AIP mediates the BMI-stroke association and evaluates the interaction effects of AIP and BMI on stroke risk in middle-aged and older Chinese adults. This study analyzes data from the China Health and Retirement Longitudinal Study (CHARLS), an ongoing nationally representative prospective cohort study that began in 2011. It includes 8598 middle-aged and older Chinese adults without stroke at baseline. A mediation analysis, employing a novel two-stage regression method, was conducted to evaluate the indirect effect of BMI on stroke through AIP. During a median follow-up of 7.1years, 615 (7.2%) participants developed a stroke. After adjusting for confounders, AIP was significantly associated with stroke risk (hazard ratio [HR] per 1-SD increase, 1.24; 95% CI 1.14-1.35). Mediation analysis indicated that compared to normal weight, obesity similarly raised stroke risk by 78.0% (HR 1.78, 95% CI 1.40-2.27), with 29.67% (95% CI 14.27-45.08%) of the association mediated through AIP (HR 1.15, 95% CI 1.08-1.23). No significant multiplicative or additive interactions were observed between BMI and AIP on stroke. This study found that the AIP appeared to be associated with stroke risk and mediates the association between obesity and stroke among middle-aged and older Chinese adults.

Weight-adjusted waist index and disability: a cohort study from CHARLS

BackgroundThe association between weight-adjusted waist index (WWI) and disability is unclear. This study aimed to assess the relationship between WWI and disability in middle-aged and elderly Chinese individuals and provide more predictive indicators for disability prevention.MethodsIn this study, 13,015 middle-aged and older adults aged 45 years and above who were surveyed in 2011 by the China Health and Aging Tracking Survey (CHARLS) database were selected, and 8344 respondents with complete data were included for cohort analysis after seven years of follow-up. Information on clinical demographic characteristics, anthropometric indices, assessment of disability, and related covariates were collected, and the presence or absence of disability was assessed by the disability scale. WWI was calculated by dividing the waist circumference (cm) by the square root of the body weight (kg). Cox proportional hazards model was used to analyze the association between WWI and disability after follow-up.ResultsOur study found that 2912 of 8344 participants had disability after seven years of follow-up, and disability incidence was approximately 34.9%. Age, sex, place of residence, chronic disease, depression, waist circumference, and WWI were significantly associated with disability in univariate analysis. Among them, there was a positive association between WWI as a continuous variable and incidence of disability (hazard ratio (HR) = 1.26, 95% CI: 1.22–1.31, p < 0.001). WWI was transformed into categorical variables using quartiles as cutoffs for disability regression analysis. After adjusting covariates, HR values in the 2nd, 3rd and 4th quantile showed an increasing trend compared with the 1st quantile, and the risk of disability among WWI subjects in the 4th quantile increased by 43% (95% CI: 1.24–1.64). P values for the trend test in the model were all < 0.001. In subgroup analyses, the positive association between WWI and risk of disability remained robust for sex, age, alcohol consumption, smoking status, education level, marital status, and place of residence after adjusting for all covariates considered in this study.ConclusionsWWI is a new and reliable obesity-related indicator that can be used for disability prevention. WWI can be detected and controlled for reducing the risk of disability.

Projections of Socioeconomic Costs for Individuals with Dementia in China 2020-2050: Modeling Study.

Previous estimates on future socioeconomic costs of dementia in China are inconsistent, and the main drivers of these costs are unclear. This study projected future socioeconomic costs (healthcare, formal social care, and informal care costs) and value of quality adjusted life years (QALYs) lost to dementia in China and assessed drivers of socioeconomic costs. Based on our prior projection on dementia cases to 2050 by a Markov model, we forecasted future socioeconomic costs and the value of QALYs from a societal perspective, utilizing the China Health and Retirement Longitudinal Study and the Chinese Longitudinal Healthy Longevity Survey. In our main analysis, dementia incidence increased by 2.9% annually, while sensitivity analyses considered a flat or 1.0% annual decrease in the temporal trend of dementia incidence. Furthermore, we decomposed socioeconomic costs changes (2018 US$) into population growth, population aging, dementia prevalence and average socioeconomic costs per case. The annual socioeconomic costs and value of QALYs lost to dementia will reach $1,233 billion and $702 billion by 2050. If dementia incidence stays constant or decreases by 1.0% annually, the costs and QALYs would respectively decrease by 34% or 43% in 2050. Informal care is currently, and projected to remain, the largest share of socioeconomic costs. Population aging and rising dementia prevalence will mainly drive the growth in socioeconomic costs through 2050. Dementia casts an increasingly large economic burden on Chinese society, mainly driven by fast aging population and growing dementia prevalence.