Retirement Longitudinal Study Research Articles

The Associations Between Social Support From Adult Children (SSAC) and the Risk of Later-Life Depression (LLD) Among Rural Older Individuals: A Longitudinal Study Based on 2011 to 2018 China Health and Retirement Longitudinal Study Data.

This study was designed to investigate the implications of perceived social support from adult children (SSAC) on the incidence of later-life depression (LLD) among rural older adults in China. A total of 1762 participants without depressive symptoms and aged ≥60years at baseline were recruited from three waves (2011, 2013, and 2015) of the China Health and Retirement Longitudinal Study (CHARLS) and followed up until 2018. After following-up for 2-7years (average 4.6years), a total of 746 participants (43.2%) were identified with LLD and the overall incidence of LLD was 128.5 per 1000 person-years. Univariate and multiple Cox regression analysis consistently indicated that receiving living care support was the sole form of SSAC that may significantly reduce the risk of LLD in rural older adults in China (HR: 0.81, 95% CI: 0.70-0.95, p = .008). These results may be of assistance in comprehensively understanding the role of SSAC in the mental health of older adults.

How Does Digital Inclusive Finance Affect Household Financial Vulnerability?

ABSTRACT Based on the China Health and Retirement Longitudinal Study (CHARLS) three-wave data (2013, 2015, and 2018), this paper constructs a panel Probit model to investigate the impact of digital inclusive finance on household financial vulnerability. The empirical results show that the development of digital inclusive finance can significantly reduce household financial vulnerability. For 1% increase in digital inclusive finance, the probability of household financial vulnerability decreases by 7.0%. The results are robust after addressing endogeneity issues and altering regression models, the dependent variable, and the independent variable. Through the influencing mechanism tests, this paper finds that digital inclusive finance reduces the financial vulnerability of households by reducing credit constraints, promoting entrepreneurship, and increasing risky asset holdings. The heterogeneous effects show that the vulnerability-mitigation effect of digital inclusive finance is more significant in better-educated and younger households and in urban and developed areas.

Association of handgrip strength and risk of cardiovascular disease: a population-based cohort study

BackgroundHandgrip strength (HGS) is a simple and non-invasive measure of muscle strength, which has been proposed as a potential predictor of cardiovascular disease (CVD) risk. However, the association between HGS and CVD risk in the Chinese population remains underexplored. This study aims to investigate the relationship between handgrip strength and the risk of cardiovascular disease using data from the 2015–2018 China Health and Retirement Longitudinal Study (CHARLS).MethodsWe included 9369 participants aged 45 years and older from the CHARLS dataset. HGS was measured using a dynamometer, and the average of three measurements for each hand was recorded. Participants were categorized into quartile based on their HGS levels. The primary outcome was the incidence of CVD, including heart diseases, and stroke, obtained through self-reports and verified by medical records. Cox proportional hazards models were used to estimate hazard ratio (HR) and 95% confidence interval (95% CI) for the association between HGS and CVD risk, and using restricted cubic spline to construct a linear relationship, adjusting for potential covariates including demographic factors, lifestyle factors, body composition, and health status. The robustness of the results was determined by stratified analysis.ResultsDuring a mean follow-up of 3 years, 1198 CVD events were reported, including 851 heart diseases and 427 strokes. After multivariate adjustment, the HR and 95% CI corresponding to CVD risk for participants in the HGS 2nd, 3rd, and 4th quartiles compared with those in the lowest quartile were 0.824 (95% CI: 0.692–0.981), 0.756 (95% CI: 0.614–0.929), 0.625 (95% CI: 0.484–0.807) (Pfor trend: <0.001), respectively. All subgroups analyzed found similar results. For CVD components, HGS was similarly linearly associated with heart disease, and had an inverted U-shape relationship with the risk of stroke, with a potential threshold of 23.16 kg.ConclusionsHigher HGS was significantly associated with decreased risk of CVD, including heart disease and stroke, in middle-aged and older adults, suggesting that HGS may be a promising measurable predictor of CVD in this population.

The combined effects of heatwaves, air pollution and greenery on the risk of frailty: a national cohort study

The associations between heatwaves and frailty, as well as the joint effects of heatwaves with air pollution and greenery, are currently unknown. This study leverages data from the China Health and Retirement Longitudinal Study (CHARLS), which collected information from 6,400 older adults between 2011 and 2018. Our outcome variable was frailty, as measured by the frailty index (FI > 0.21). Heatwaves were defined based on maximum temperature, incorporating four thresholds (≥ 97.5%, 97.5%, 92.5%, and 90%) and three durations (≥ 2, 3, and 4 days). These variables were considered as time-varying variables, representing the one-year exposure preceding survival events. Fine particulate matter (PM2.5) and greenery (normalized difference vegetation index (NDVI)) were utilized as indicators of air pollution and greenery exposure, respectively, and were treated as time-varying indicators concurrent with heatwaves.Time-varying Cox proportional hazards models were employed to assess the independent effects, as well as the multiplicative and additive interactions of heatwaves, air pollution, and greenery on the risk of frailty. These effects were quantified using hazard ratios (HRs), a traditional product term representing the ratio of HRs, and the relative excess risk due to interaction (RERI). Our findings indicate that heatwaves are associated with an increased risk of frailty, with HRs ranging from 1.035 (95% CI: 1.006–1.064) to 1.063 (95% CI: 1.028–1.101). We observed both a positive multiplicative interaction (HRs > 1) and an additive interaction (RERI > 0) between high level PM2.5 concentration, lack of greenery, and heatwaves. This study reveals that the combined effects exacerbate the adverse impact of heatwaves on the risk of frailty. Moreover, the combined effects of heatwaves, air pollution, and greenery exposure on frailty risk vary across age, gender, and educational attainment.

The triglyceride glucose related index is an indicator of Sarcopenia

The triglyceride glucose (TyG) related index, a metric used to evaluate assessing insulin resistance (IR), has received limited attention in its association with sarcopenia. Our study aims to explore the predictive potential of the TyG index for sarcopenia. This study utilized data from the China Health and Retirement Longitudinal Study, a nationally representative, community-based cohort study, including a sample size of 10,537 participants aged 45 years and older. Associations between TyG related index and sacopenia was explored using multivariate logistic regression. Analysis of the predictive value of TyG related index for sarcopenia using receiver-operating characteristic curve (ROC). We evaluated the correlation between the TyG related index and the risk of sarcopenia using Cox proportional hazards models. Additionally, we utilized restricted cubic spline (RCS) regression analyses to explore the connections between the TyG-related index and sarcopenia. Logistic regression analysis showed an association between TyG (OR 0.961[0.955,0.968], P < 0.001), TyG-body mass index (TyG-BMI) (OR 0.872[0.867,0.878], P < 0.001), TyG- waist circumference (TyG-WC) (OR 0.896[0.890,0.902], P < 0.001) and sarcopenia. The results of the ROC analysis indicated that the area under the curve values for TyG, TyG-BMI, and TyG-WC were 0.659, 0.903, and 0.819, respectively. Compared to those without sarcopenia, patients with sarcopenia had a 37.7% (HR 0.623[0.502,0.774], P < 0.001), 4.8% (HR 0.952[0.947,0.958], P < 0.001), and 0.4% (HR 0.996[0.995,0.996], P < 0.001) lower risk with increasing TyG, TyG-BMI, and TyG-WC, respectively. RCS results show nonlinear relationship between TyG-BMI (P < 0.001) and TyG-WC (P < 0.001) and risk of sarcopenia. We observed a correlation between the TyG-related index and sarcopenia, with the TyG-BMI index demonstrating strong predictive capability for sarcopenia.

Specific depressive symptoms, body mass index and diabetes in middle-aged and older Chinese adults: Analysis of data from the China Health and Retirement Longitudinal Study (CHARLS)

BackgroundThis study examined the association between specific depressive symptoms and incident diabetes, and whether overweight or obesity mediates this relationship among middle-aged and older adults in China. MethodsIn a nationally representative prospective cohort study of 11,893 middle-aged and older Chinese adults without baseline diabetes, we used Cox models to assess the association between depressive symptoms and diabetes. The quantile g-computation (qgcomp) model evaluated the contribution of 10 specific depressive symptoms to diabetes risk, and a two-stage regression method explored the mediation effect of overweight or obesity. ResultsOver a median follow-up of 7.1 years, 1,314 cases of diabetes were identified. Elevated depressive symptoms were associated with increased diabetes risk (HR 1.23; 95 % CI 1.09–1.38). Eight out of 10 depressive symptoms were significantly associated to diabetes, with loneliness (weight = 18 %; HR 1.23; 95 % CI 1.10–1.39), restless sleep (weight = 17 %; HR 1.16; 95 % CI 1.04–1.29), and bother (weight = 15 %; HR 1.19; 95 % CI 1.07–1.33) being the primary contributors. Mediation analysis showed that overweight and obesity reduced the depression-diabetes risk association by 8.21 % and 12.61 %, respectively. LimitationsDiagnosis of diabetes was self-reported. ConclusionsEight out of ten specific depressive symptoms were associated to diabetes, overweight and obesity may partially mitigate the effect of depressive symptoms on diabetes among middle-aged and older adults in China. Clinical implicationsOur results highlight the importance of tailoring diabetes prevention and management strategies according to specific depressive symptoms among middle-aged and older adults in China.

Estimated glucose disposal rate, high sensitivity C-reactive protein and cardiometabolic multimorbidity in middle-aged and older Chinese adults: A nationwide prospective cohort study

AimTo explore the separate and joint association of estimated glucose disposal rate (eGDR) and high-sensitivity C-reactive protein (hsCRP) with cardiometabolic multimorbidity (CMM). MethodsA total of 6900 participants aged 45 years or older with available data on eGDR and hsCRP and without cardiometabolic diseases at baseline from the China Health and Retirement Longitudinal Study were included. CMM was defined as the coexistence of two or more cardiometabolic diseases, including heart diseases, stroke, and diabetes. ResultsDuring a median follow-up of 9.0 years, 464 (6.7 %) participants developed CMM. Low eGDR and high hsCRP separately and jointly increased the risk of CMM. The adjusted hazard ratio (HR) was 1.67 (95 % confidence interval [CI] 1.33–2.09) for low eGDR versus high eGDR, 1.43 (95 % CI 1.12–1.82) for high hsCRP versus low hsCRP) and 2.40 (95 % CI 1.77–3.27) for low eGDR plus high hsCRP versus high eGDR plus low hsCRP. The C-statistic, discriminatory power and risk reclassification significantly improved with the addition of combined eGDR and hsCRP for CMM (P < 0.001). ConclusionsLow eGDR and high hsCRP were individually and jointly associated with increased risk of incident CMM. The findings highlighted the importance of joint evaluation of eGDR and hsCRP for primary prevention of CMM.

Association between changes in depressive symptoms and risk of anemia: from the China Health and Retirement longitudinal study

BackgroundPrevious studies have reported that anemia was associated with depression, but the association between changes in depressive symptoms and the risk of anemia was unclear. This study aimed to explore whether changes in depressive symptoms were associated with anemia among the middle-aged and elderly adults.MethodsA total of 6112 patients aged 45 years and older from the China Health and Retirement Longitudinal Study (CHARLS) were included in this analysis. Elevated Depression Symptoms (EDS) was defined as the Center for Epidemiological Studies Depression Scale-10 score ≥ 10. Depression status was defined as no depressive symptom [no EDS at Wave 1 (2011–2012) and Wave 2 (2013–2014)], decreasing depressive symptoms (EDS at Wave 1, no EDS at Wave 2), increasing depressive symptoms (no EDS at Wave 1, EDS at Wave 2), persistent depressive symptoms (EDS at Wave 1 and Wave 2). Multivariable logistic regression analyses were conducted to estimate the relationships between depressive symptoms and the changes and risk of anemia.ResultsDuring the follow-up of Wave 1 and Wave 3 (2015–2016), 906 participants (14.82%) developed anemia, the multivariable-adjusted odds ratio for the depressive symptom compared with the no depressive symptom was 1.24 (95% CI, 1.12–1.58) for anemia. From Wave 2 to Wave 3, there were 828 participants (14.62%) diagnosed with anemia. Compared to participants with no depressive symptom, those with persistent depressive symptoms during Wave 1 and Wave 2 had the significantly elevated risk of anemia (odds ratio 1.44, 95% CI 1.21–1.84).ConclusionsThe present study demonstrated that baseline depressive symptoms and changes in depressive symptoms were associated with increased risks of anemia.

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.

Negative wealth shocks and subsequent depressive symptoms and trajectories in middle-aged and older adults in the USA, England, China, and Mexico: a population-based, multinational, and longitudinal study.

The association between negative wealth shocks and depression among middle-aged and older individuals remains unclear. Our study aimed to assess the association between negative wealth shocks and depression and its trajectories, and to explore cross-national differences in these associations. Our sample included 21 999 participants, of which 9519 were from the Health and Retirement Study (2012-2020), 4936 from the English Longitudinal Study of Ageing (2012-2020), 2520 from the China Health and Retirement Longitudinal Study (2011-2020), and 5024 from the Mexican Health and Aging Study (2012-2021). We used latent class trajectory models to identify depressive trajectories, alongside mixed-model logistic regression and multinomial logistic regression to evaluate associations. In the USA (OR 1.73, 95% CI 1.40-2.16), England (OR 1.71, 95% CI 1.09-2.70), and China (OR 1.38, 95% CI 1.09-1.75), negative wealth shocks were associated with subsequent depressive symptoms, but not in Mexico (OR 1.06, 95% CI 0.86-1.29). Additionally, negative wealth shocks were associated with several depressive trajectories in the USA and China. This association occurred only in increasing-decreasing trajectory in England, while no significant association was found across any trajectory in Mexico. Negative wealth shocks were associated with subsequent depressive symptoms, with significant associations observed in some specific depressive trajectories. These associations exhibited cross-national differences, underscoring the importance of considering country-specific contexts when addressing the mental health impacts of wealth shocks.

Effects of activity participation and cognitive levels on depression in middle-aged and older adults with chronic illness: a national cross-sectional study.

The world population is rapidly aging, and depression mainly affects middle-aged and older adults with chronic diseases and cognitive impairments. The sample for this study was obtained from the China Health and Retirement Longitudinal Study (CHARLS) public database. The sample size for inclusion was 12,767. There were 6,773 females and 5,994 males, with an overall low level of education. This study aims to provide a theoretical and practical reference basis for the clinical non-pharmacological treatment of depression in middle-aged and older adults (age ≥ 50 years) with chronic diseases. Additionally, the study seeks to promote the development of mental health interventions for middle-aged and older adults (age ≥ 50 years) with chronic diseases, ultimately enhancing the sense of well-being and quality of life for this demographic. Cognitive functioning and depressive symptoms of the study participants were assessed using the Mini-Mental State Examination Scale (MMSE) and the short version of the Center for Epidemiological Studies Depression Scale (CESD-10). Binary logistic regression results showed that among middle-aged and older adults (age ≥ 50 years) with chronic diseases, participation in physical activity [OR = 1.397; 95% CI (1.181-1.651); p < 0.05] was more effective than participation in social activities [OR = 0.997; 95% CI (0.924-1.076); p < 0.05] for preventing depression. Those with cognitive impairment [OR = 1.206; 95% CI (1.089-1.335); p < 0.05] were more likely to experience depression than those without cognitive impairment. Activity participation (physical activity and social activity) had a more significant effect on mild and moderate depression compared to no depression, and cognitive level had a more pronounced effect on moderate depression [OR = 1.491; 95% CI (1.278-1.740); p < 0.05] and major depression [OR = 2.231; 95% CI (1.282-3.884); p < 0.05]. Within the specific cohort of middle-aged and older adults (age ≥ 50 years) with chronic diseases, both activity participation and cognitive level exert a significant influence on the prevention and intervention of depression. Engagement in physical activity, participation in social activities, and enhanced cognitive functioning emerged as protective factors against depression. Therefore, the policy-maker should strengthen the prevention and treatment of depression in a comprehensive manner through the promotion of physical and social activities and the enhancement of cognitive level, so as to safeguard the mental health of middle-aged and older adults with chronic diseases.

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.

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.

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.

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.

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.

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.