China Health And Retirement Longitudinal Study Research Articles

Interacting and joint effects of triglyceride-glucose index and hypertension on stroke risk in middle-aged and older Chinese adults: a population-based prospective cohort study

BackgroundTriglyceride-glucose (TyG) index and hypertension were well-established risk factors for stroke. And TyG index was associated with hypertension. However, no prior study has investigated the interactive effects of the TyG index and hypertension on stroke. This study examined whether hypertension mediates associations of TyG index with incident stroke and the extent of interaction or joint relations of TyG index and hypertension with stroke in middle-aged and older Chinese adults.MethodsThe China Health and Retirement Longitudinal Study (CHARLS) is an ongoing nationally representative prospective cohort study initiated in 2011. This cohort study included 9,145 middle-aged and older Chinese adults without stroke at baseline. The eposures were TyG index and the logarithmized product of hypertension, as determined during the baseline health examination. The main outcome was self-reported physician-diagnosed stroke which followed up from June 1, 2011, to June 30, 2018.ResultsOf the 9,145 participants, 4,251 were men (46.5%); the mean (SD) age was 59.20 (9.33) years. During a median follow-up of 7.1 years, 637 (7.0%) participants developed stroke. In multivariable-adjusted models, the TyG index was significantly associated with the risk of hypertension [odds ratio (OR) per 1-SD increase, 1.29; 95% CI, 1.19–1.41] and stroke [hazard ratio (HR) per 1-SD increase, 1.16; 95% CI, 1.02–1.33]. Both multiplicative and additive interactions were observed between TyG index and hypertension on stroke (HR for multiplicative: 2.34, 95% CI, 1.57–3.48; Synergy index: 4.13, 95% CI, 2.73–6.25). Mediation analysis showed that 20.0% of the association between TyG index and stroke was mediated through hypertension.ConclusionsThis study suggests a synergistic effect of TyG index and hypertension on stroke, and a small proportion of the association between TyG index and stroke was mediated by hypertension, indicating the benefit of coordinated control strategies for both exposures.

The influence of residential Environment and residential experience on psychological depression in older adults: Evidence from China and Europe

This cross-national study examined the influence of residential environment and experience on depression in older adults in China and Europe to address existing research gaps. Using data from the China Health and Retirement Longitudinal Study (CHARLS) and Survey of Health, Ageing, and Retirement in Europe (SHARE) and employing ridge regression, it was found that residential environment and experience have a significant influence on older adults' depression. The influence of residential experience aligns with the sensitivity period hypothesis. The environment in which older adults live during specific age periods leaves an imprint on their psyche. This imprint is activated when specific environments are encountered in old age, thereby influencing the level of depression. This study examined how their influence on depression contributes to understanding older adults’ housing preferences and can guide housing-related policies.

Prospective association between social isolation, loneliness and lung function among Chinese middle-aged and older adults.

Previous research has highlighted a heightened occurrence of social isolation and loneliness in older adults diagnosed with chronic lung diseases. Nevertheless, there exists a dearth of studies that have explored the influence of impoverished social relationships on lung function. This study aimed to examine the longitudinal association between social isolation, loneliness and lung function over 4 years among middle-aged and older Chinese adults. This study employed two waves (2011 and 2015) of data from the China Health and Retirement Longitudinal Study (CHARLS). The analysis was limited to participants aged 45 years and above and stratified based on gender (3325 men and 3794 women). The measurement of peak expiratory flow (PEF) served as an indicator for assessing lung function. Lagged dependent variable regression models, accounting for covariates, were employed to explore the relationship between baseline social isolation and loneliness and the subsequent PEF. For women, social isolation was significantly associated with the decline in PEF at follow-up (β = -.06, p < .001) even after adjusting for all covariates; no significant correlation was observed between loneliness and PEF. Among men, there was no significant association found between either social isolation or loneliness and PEF. Social isolation is prospectively associated with worse lung function in middle-aged and older Chinese women but not men. The results highlight the importance of promoting social relationships in public health initiatives, especially in groups that are more vulnerable.

Optimal obesity- and lipid-related indices for predicting type 2 diabetes in middle-aged and elderly Chinese

To investigate the screening and predicting functions of obesity- and lipid-related indices for type 2 diabetes (T2D) in middle-aged and elderly Chinese, as well as the ideal predicted cut-off value. This study's data comes from the 2011 China Health and Retirement Longitudinal Study (CHARLS). A cross-sectional study design was used to investigate the relationship of T2D and 13 obesity- and lipid-related indices, including body mass index (BMI), waist circumference (WC), waist–height ratio (WHtR), visceral adiposity index (VAI), a body shape index (ABSI), body roundness index (BRI), lipid accumulation product (LAP), conicity index (CI), Chinese visceral adiposity index (CVAI), triglyceride- glucose index (TyG index) and its correlation index (TyG-BMI, TyG-WC, TyG-WHtR). The unadjusted and adjusted correlations between 13 indices and T2D were assessed using binary logistic regression analysis. The receiver operating characteristic curve (ROC) was used to determine the usefulness of anthropometric indices for screening for T2D and determining their cut‑off value, sensitivity, specificity, and area under the curve (AUC). The study comprised 9488 people aged 45 years or above in total, of whom 4354 (45.89%) were males and 5134 (54.11%) were females. Among them were 716 male cases of T2D (16.44%) and 870 female cases of T2D (16.95%). A total of 13 obesity- and lipid-related indices were independently associated with T2D risk after adjusted for confounding factors (P < 0.05). According to ROC analysis, the TyG index was the best predictor of T2D among males (AUC = 0.780, 95% CI 0.761, 0.799) and females (AUC = 0.782, 95% CI 0.764, 0.799). The AUC values of the 13 indicators were higher than 0.5, indicating that they have predictive values for T2D in middle-aged and elderly Chinese. The 13 obesity- and lipid-related indices can predict the risk of T2D in middle‑aged and elderly Chinese. Among 13 indicators, the TyG index is the best predictor of T2D in both males and females. TyG-WC, TyG-BMI, TyG-WHtR, LAP, and CVAI all outperformed BMI, WC, and WHtR in predicting T2D.

Availability of family care resources, bathing assistance and toileting assistance among older adults with functional limitations: an evidence-based study from China

BackgroundAn aging population has contributed to an increasing prevalence of functional limitations among older adults. Family support plays a crucial role in toileting and bathing assistance. Yet, the relationship between availability of family care resources and such actual assistance remains insufficiently explored. Our study aims to describe availability of family care resources and identify the association between availability of family care resources and toileting assistance or bathing assistance.MethodsThis study employed a cross-sectional analysis of data from the 2018 National Survey of the China Health and Retirement Longitudinal Study (CHARLS). The availability of family care resources was assessed using measurements of spouse availability, adult child availability, and living arrangement. Bathing assistance and toileting assistance were measured based on self-reported receipt of such assistance. Descriptive statistics were used to depict the overall and subgroup situation of availability of family care resources. Multivariable logistic models were employed to investigate the relationship between availability of family care resources and the receipt of toileting assistance or bathing assistance.ResultsAmong the sample of older adults with functional limitations, 69% had a spouse, 63% had at least one adult child, and 80% resided with family members. Among those with bathing disability, 13% reported lacking bathing assistance, and among those with toileting disability, 54% reported lacking toileting assistance.Participants with 1-2 adult children had lower odds of receiving toileting assistance (OR: 0.28, 95% CI: 0.09, 0.91, p= 0.034) compared to those with three or more adult children. Spouse availability and living arrangement did not exhibit statistically significant associations with toileting assistance. Participants without a spouse had lower odds of receiving bathing assistance (OR: 0.27, 95% CI: 0.09-0.78, p= 0.016) in comparison to those with a spouse; however, adult child availability and living arrangement did not display statistically significant associations with bathing assistance.ConclusionThe present findings suggest a gap in family commitment when it comes to assisting older adults with functional limitations in bathing/toileting. To address this, policymakers are encouraged to prioritize the implementation of proactive mechanisms for identifying family caregivers, alongside incentives to enhance their engagement in practical caregiving activities. Furthermore, it is crucial to emphasize the prioritization of affordable and easily accessible formal toileting/bathing assistance options for older adults who lack sufficient family care resources.

Obesity and lipid indices as predictors of depressive symptoms in middle-aged and elderly Chinese: insights from a nationwide cohort study

BackgroundDepressive symptoms are one of the most common psychiatric disorders, with a high lifetime prevalence rate among middle-aged and elderly Chinese. Obesity may be one of the risk factors for depressive symptoms, but there is currently no consensus on this view. Therefore, we investigate the relationship and predictive ability of 13 obesity- and lipid-related indices with depressive symptoms among middle-aged and elderly Chinese.MethodsThe data were obtained from The China Health and Retirement Longitudinal Study (CHARLS). Our analysis includes individuals who did not have depressive symptoms at the baseline of the CHARLS Wave 2011 study and were successfully follow-up in 2013 and 2015. Finally, 3790 participants were included in the short-term (from 2011 to 2013), and 3660 participants were included in the long-term (from 2011 to 2015). The average age of participants in short-term and long-term was 58.47 years and 57.88 years. The anthropometric indicators used in this analysis included non-invasive [e.g. waist circumference (WC), body mass index (BMI), and a body mass index (ABSI)], and invasive anthropometric indicators [e.g. lipid accumulation product (LAP), triglyceride glucose index (TyG index), and its-related indices (e.g. TyG-BMI, and TyG-WC)]. Receiver operating characteristic (ROC) analysis was used to examine the predictive ability of various indicators for depressive symptoms. The association of depressive symptoms with various indicators was calculated using binary logistic regression.ResultsThe overall incidence of depressive symptoms was 20.79% in the short-term and 27.43% in the long-term. In males, WC [AUC = 0.452], LAP [AUC = 0.450], and TyG-WC [AUC = 0.451] were weak predictors of depressive symptoms during the short-term (P < 0.05). In females, BMI [AUC = 0.468], LAP [AUC = 0.468], and TyG index [AUC = 0.466] were weak predictors of depressive symptoms during the long-term (P < 0.05). However, ABSI cannot predict depressive symptoms in males and females during both periods (P > 0.05).ConclusionThe research indicates that in the middle-aged and elderly Chinese, most obesity- and lipid-related indices have statistical significance in predicting depressive symptoms, but the accuracy of these indicators in prediction is relatively low and may not be practical predictors.

The relationship between sleeptime and depression among middle-aged and elderly Chinese participant during COVID-19 epidemic and non-epidemic phases

BackgroundThe global impact of the COVID-19 pandemic had significantly altered the daily routines of people worldwide. This study aimed to compare how sleeptime and depression among Chinese residents had differed between periods during and outside the epidemic. Furthermore, it delved into the interactive effect of age in this relationship.MethodUtilizing data from the China Health and Retirement Longitudinal Study (CHARLS) study in 2015 and the recently released data from 2020, which covered the pandemic period. Depression was assessed using Center for Epidemiologic Studies Depression Scale (CESD-10), considering a score of 10 or higher as indicative of depression. Participants were categorized based on age, specifically those aged 60 years and older. multivariate logistic regression and interaction analyses were employed to assess the interplay of age, supported by subgroup and sensitivity analyses to reinforce our findings.ResultsThe 2020 database comprised 19,331 participants, while the 2015 database had 10,507 participants. Our findings demonstrated a significant correlation between sleeptime and depression in both unadjusted models and models adjusted for all variables in both datasets (p&amp;lt;0.001). Upon stratifying by age and adjusting for relevant factors, we identified an interaction effect among age, sleeptime, and depression (p=0.004 for the interaction in the 2020 database, compared to 0.004 in 2015). The restricted cubic spline analysis in both datasets showcased a nonlinear relationship between sleeptime and depression.ConclusionsDuring both epidemic and non-epidemic periods in China, there existed a correlation between sleep duration and depression, which interacts with age.

Development and validation of a predictive model for the risk of sarcopenia in the older adults in China

BackgroundSarcopenia is a progressive age-related disease that can cause a range of adverse health outcomes in older adults, and older adults with severe sarcopenia are also at increased short-term mortality risk. The aim of this study was to construct and validate a risk prediction model for sarcopenia in Chinese older adults.MethodsThis study used data from the 2015 China Health and Retirement Longitudinal Study (CHARLS), a high-quality micro-level data representative of households and individuals aged 45 years and older adults in China. The study analyzed 65 indicators, including sociodemographic indicators, health-related indicators, and biochemical indicators.Results3454 older adults enrolled in the CHARLS database in 2015 were included in the final analysis. A total of 997 (28.8%) had phenotypes of sarcopenia. Multivariate logistic regression analysis showed that sex, Body Mass Index (BMI), Mean Systolic Blood Pressure (MSBP), Mean Diastolic Blood Pressure (MDBP) and pain were predictive factors for sarcopenia in older adults. These factors were used to construct a nomogram model, which showed good consistency and accuracy. The AUC value of the prediction model in the training set was 0.77 (95% CI = 0.75–0.79); the AUC value in the validation set was 0.76 (95% CI = 0.73–0.79). Hosmer–Lemeshow test values were P = 0.5041 and P = 0.2668 (both P > 0.05). Calibration curves showed significant agreement between the nomogram model and actual observations. ROC and DCA showed that the nomograms had good predictive properties.ConclusionsThe constructed sarcopenia risk prediction model, incorporating factors such as sex, BMI, MSBP, MDBP, and pain, demonstrates promising predictive capabilities. This model offers valuable insights for clinical practitioners, aiding in early screening and targeted interventions for sarcopenia in Chinese older adults.

The combined effect of handgrip strength and obesity phenotype on the risk of stroke in Chinese middle-aged and elderly: A cohort study

ObjectiveThe aim of this study was to investigate the combined effect of handgrip strength (HGS) and obesity phenotype on the risk of stroke in Chinese middle-aged and elderly people. MethodsThe data was used from the China Health and Retirement Longitudinal Study (CHARLS). Middle-aged and older adults who participated in surveys between 2011 and 2018 were included in the study. They were divided into 4 different types of obesity phenotypes based on obesity and metabolic status: metabolically healthy non-overweight/obesity (MHNO), metabolically healthy overweight/obesity (MHO), metabolically abnormal non-overweight/obesity (MANO), and metabolically abnormal overweight/obesity (MAO). The HGS level was divided into low and high groups according to the median values. Cox proportional risk regression model was used to analyze the joint effect of HGS and obesity phenotype on the risk of stroke among participants. ResultsA total of 7904 participants aged 58.89±9.08 years were included in this study. After adjusting for potential confounders, high HGS&MHO (HR=1.86, 95 % CI=1.12–3.09), high HGS&MANO (HR=2.01, 95 %CI=1.42–2.86), high HGS&MAO (HR=2.01, 95 % CI=1.37–2.93), low HGS&MHNO (HR=1.57, 95 % CI=1.00–2.46), low HGS&MHO (HR=2.09, 95 % CI=1.29–3.38), low HGS&MANO (HR=2.02, 95 % CI=1.35–3.03), and low HGS&MAO (HR=2.48, 95 % CI=1.72–3.58) group had significantly higher risks of stroke than the high HGS&MHNO group. ConclusionThe coexistence of metabolically unhealthy and low HGS can synergistically increase the risk of stroke in Chinese middle-aged and elderly people.

Digital exclusion and cognitive impairment in older people: findings from five longitudinal studies

ObjectivesOlder people are more likely to have digital exclusion, which is associated with poor health. This study investigated the relationship between digital exclusion and cognitive impairment in older adults from 23 countries across five longitudinal surveys.Design and measurementsDigital exclusion is defined as self-reported non-use of the Internet. We assessed cognitive impairment on three dimensions: orientation, memory, and executive function. We used generalized estimation equations fitting binary logistic regression with exchangeable correlations to study the relationship between digital exclusion and cognitive impairment, and apply the minimum sufficiently adjusted set of causally directed acyclic graphs as the adjusted variable.Setting and participantsWe pooled a nationally representative sample of older adults from five longitudinal studies, including the China Health and Retirement Longitudinal study (CHARLS), the English Longitudinal Study of Ageing (ELSA), the Health and Retirement Study (HRS), the Mexican Health and Ageing Study (MHAS) and the Survey of Health, Ageing and Retirement in European (SHARE).ResultsWe included 62,413 participants from five longitudinal studies. Digital exclusion varied by country, ranging from 21.69% (SHARE) in Denmark to 97.15% (CHARLS) in China. In the original model, digital exclusion was significantly associated with cognitive impairment in all five studies. In the adjusted model, these associations remained statistically significant: CHARLS (Odds ratio [OR] = 2.81, 95% confidence interval [CI] 1.84–4.28, ELSA (1.92 [1.70–2.18]), HRS(2.48[2.28–2.71), MHAS (1.92 [1.74–2.12]), and SHARE (2.60 [2.34–2.88]).ConclusionOur research shows that a significant proportion of older people suffer from digital exclusion, especially in China. Digital exclusion was positively correlated with cognitive impairment. These findings suggest that digital inclusion could be an important strategy to improve cognitive function and reduce the risk of cognitive impairment in older adults.

Joint association of TyG index and high sensitivity C-reactive protein with cardiovascular disease: a national cohort study

BackgroundBoth the triglyceride-glucose (TyG) index, as a surrogate marker of insulin resistance, and systemic inflammation are predictors of cardiovascular diseases; however, little is known about the coexposures and relative contributions of TyG index and inflammation to cardiovascular diseases. Using the nationally representative data from the China Health and Retirement Longitudinal Study (CHARLS), we conducted longitudinal analyses to evaluate the joint and mutual associations of the TyG index and high-sensitivity C-reactive protein (hsCRP) with cardiovascular events in middle-aged and older Chinese population.MethodsThis study comprised 8 658 participants aged at least 45 years from the CHARLS 2011 who are free of cardiovascular diseases at baseline. The TyG index was calculated as Ln [fasting triglyceride (mg/dL) × fasting glucose (mg/dL)/2]. Cardiovascular events were defined as the presence of physician-diagnosed heart disease and/or stroke followed until 2018.We performed adjusted Cox proportional hazards regression and mediation analyses.ResultsThe mean age of the participants was 58.6 ± 9.0 years, and 3988 (46.1%) were females. During a maximum follow-up of 7.0 years, 2606 (30.1%) people developed cardiovascular diseases, including 2012 (23.2%) cases of heart diseases and 848 (9.8%) cases of stroke. Compared with people with a lower TyG index (< 8.6 [median level]) and hsCRP < 1 mg/L, those concurrently with a higher TyG and hsCRP had the highest risk of overall cardiovascular disease (adjusted hazard ratio [aHR], 1.300; 95% CI 1.155–1.462), coronary heart disease (aHR, 1.294; 95% CI 1.130–1.481) and stroke (aHR, 1.333; 95% CI 1.093–1.628), which were predominant among those aged 70 years or below. High hsCRP significantly mediated 13.4% of the association between the TyG index and cardiovascular disease, while TyG simultaneously mediated 7.9% of the association between hsCRP and cardiovascular risk.ConclusionsThe findings highlight the coexposure effects and mutual mediation between the TyG index and hsCRP on cardiovascular diseases. Joint assessments of the TyG index and hsCRP should be underlined for the residual risk stratification and primary prevention of cardiovascular diseases, especially for middle-aged adults.

Association between the clustering of adverse childhood experiences and sleep quality in middle-aged and older Chinese adults

Objective: To examine the association between the clustering of adverse childhood experiences (ACEs) and sleep quality in middle-aged and older Chinese adults. Methods: Data were from the Life History Survey in 2014 and the third wave follow-up survey in 2015 of China Health and Retirement Longitudinal Study (CHARLS). A total of 10 824 participants aged 45 years and above were included in this study. According to the number of ACEs, the participants were divided into four groups: 0, 1, 2-3 and≥4 ACEs. The multivariate logistic regression model was used to analyze the association of ACEs clustering with inappropriate sleep duration and poor sleep quality in middle-aged and older adults. Results: Among the 10 824 participants with an average age of (60.83±9.06) years, 5 211 (48.14%) were males. About 6 111 participants (56.64%) had inappropriate sleep duration, and 3 640 participants (33.63%) had poor sleep quality. After adjusting for covariates including gender, age, residence, marital status, education, household consumption, BMI, smoking, drinking, and depression in adulthood, compared with the 0 ACE group, the risk of inappropriate sleep duration was significantly increased in the 2-3 ACEs group and≥4 ACEs group, while ORs (95%CIs) were 1.26 (1.12-1.41) and 1.43 (1.23-1.66), respectively. The risk of poor sleep quality in the 2-3 ACEs group and≥4 ACEs group was also significantly higher than that in the 0 ACE group, while ORs (95%CIs) were 1.28 (1.12-1.46) and 1.53 (1.29-1.80), respectively. Conclusion: ACEs clustering in childhood could negatively affect sleep duration and quality in middle-aged and older Chinese adults.

Association between threat-related adverse childhood experiences and chronic lung diseases in a middle and older aged population: A cross-sectional and longitudinal study in China

ObjectivesWe investigated the association between threat-related adverse childhood experiences (ACEs) and the risk of chronic lung diseases (CLDs). MethodsThe data used for this study were extracted from the China Health and Retirement Longitudinal Study (CHARLS), a nationally representative survey of respondents recruited from 450 villages/urban communities in 28 provinces. Threat-related ACEs were constructed using five adverse factors: household substance abuse, physical abuse, domestic violence, unsafe neighbourhood, and bullying). Participants were divided into three groups according to their number of threat-related ACEs at baseline and at follow-up. The association between threat-related ACEs and CLD prevalence in the cross-sectional study was calculated using logistic regression models. The association between threat-related ACEs and CLD onset was evaluated using Cox proportional regression models in the cohort study. Potential confounders were considered in both the cross-sectional and cohort studies. ResultsThe CLD prevalence in the total population, no exposure group, exposure to one threat-related ACE, and exposure to at least two threat-related ACEs were 10.07% (1320/13104), 9.20% (665/7232), 10.89% (421/3865), and 11.66% (234/2007), respectively. Exposure to one threat-related ACE (OR: 1.23, 95% CI: 1.07–1.41) and exposure to at least two threat-related ACEs (OR: 1.31, 95% CI: 1.11–1.55) were significantly associated with higher CLD prevalence rates. The cohort study included 11,645 participants. During the 7-year follow-up, 738 CLD incidents were identified. Similarly, exposure to one threat-related ACE (HR: 1.20, 95% CI: 1.01–1.43) and at least two threat-related ACEs (HR: 1.64, 95% CI: 1.35–2.00) were significantly associated with a higher CLD incidence risk. ConclusionsExposure to threat-related ACEs was significantly associated with a higher CLD prevalence risk and onset. It is crucial to identify individuals who have encountered childhood threats and prioritise the monitoring of their pulmonary function.

Construction of a machine learning-based risk prediction model for depression in middle-aged and elderly hypertensive people in China: a longitudinal study.

Hypertension is a common chronic disease that can trigger symptoms such as anxiety and depression. Therefore, it is essential to predict their risk of depression. The aim of this study is to find the best prediction model and provide effective intervention strategies for health professionals. The study subjects were 2733 middle-aged and older adults who participated in the China Health and Retirement Longitudinal Study (CHARLS) between 2018 and 2020. R software was used for Lasso regression analysis to screen the best predictor variables, and logistic regression, random forest and XGBoost models were constructed. Finally, the prediction efficiency of the three models was compared. In this study, 18 variables were included, and LASSO regression screened out 10 variables that were important for the establishment of the model. Among the three models, Logistic Regression model showed the best performance in various evaluation indicators. The prediction model based on machine learning can accurately assess the likelihood of depression in middle-aged and elderly patients with hypertension in the next three years. And by combining Logistic regression and nomograms, we were able to provide a clear interpretation of personalized risk predictions.

Four-years change of BMI and waist circumference are associated with metabolic syndrome in middle-aged and elderly Chinese

The purpose of the study was to determine whether changes in body mass index (BMI) and waist circumference (WC) in middle-aged and elderly Chinese are associated with metabolic syndrome. In this cohort investigation, 3697 middle-aged and elderly people aged 45 or over were recruited from the China Health and Retirement Longitudinal Study (CHARLS). The National Cholesterol Education Program Adult Treatment Panel III (2005) defined metabolic syndrome (MetS). With Cox regression analysis, we calculated hazard ratio (HR) and 95% confidence intervals (CIs) for MetS based on BMI-WC change categories. To assess the prevalence of MetS, the changes in BMI and WC levels were classified into four quartiles based on their relative and absolute changes. In subjects whose BMI and WC decreased (HR = 0.338; 95% CIs 0.264, 0.433) as well as those whose BMI increased and their WC decreased (HR = 0.375; 95% CIs 0.228, 0.499), metabolic syndrome risk was significantly lower compared with those with increases in both BMI and WC. Regarding the absolute changes in BMI, the lowest percentile of BMI was significantly lower in both males (HR = 0.302; 95% CIs 0.204, 0.448) and females (HR = 0.486; 95% CIs 0.354, 0.667) for the risk of metabolic syndrome. Similar results were observed in the absolute changes in WC, with the lowest quantile of WC having a significant impact on MetS risk in males (HR = 0.170; 95% CIs 0.107, 0.270) and females (HR = 0.303; 95% CIs 0.217, 0.424). The risk of metabolic syndrome was significantly associated with changes in BMI and WC in middle-aged and elderly Chinese. A reduced BMI and WC are associated with lower metabolic syndrome risks in middle-aged and elderly people.

Prevalence of Parkinson’s disease among adults aged 45 years and older in China: a cross-sectional study based on the China health and retirement longitudinal study

BackgroundIn recent decades, China has experienced a rapid increase in the number of elderly individuals and life expectancy, as well as industrialization, which is associated with an increased prevalence of Parkinson's disease (PD). However, inconsistent results have recently been reported. Therefore, this study aimed to investigate the prevalence and distribution characteristics of PD among individuals aged 45 years and older.MethodsUsing data from the China Health and Retirement Longitudinal Study (CHARLS), we attempted to estimate the prevalence of PD and its distribution characteristics among 19,034 individuals aged 45 years and older residing in 446 communities/villages within 27 provinces/autonomous regions/municipalities in mainland China. Cases were established based on a doctor's previous diagnosis. Crude and age-adjusted prevalence rates were calculated and stratified by age, sex, area of residence, education level, marital status, and geographic region. Logistic regression models were used to identify risk factors associated with PD.ResultsWe identified 178 patients with PD among 19,034 residents aged 45 years and older. The crude prevalence was 0.94%, and the age-adjusted prevalence was 0.82% for individuals aged 45 years and older. The prevalence of PD increased with age (P < 0.001). No significant differences were found in terms of sex, area of residence, or education level. Stratified by geographic region, the prevalence of PD was greater in North and Northwest China and lower in southern China (p < 0.001). Multiple regression analyses showed that age was a significant risk factor for PD.ConclusionThe prevalence of PD increased with age in the Chinese population.

A Modified Frailty Phenotype Used for Identifying Frailty in Health Care Practice: Validation Among Chinese Older Adults

ObjectivesThe study aimed to evaluate a simplified and practical frailty detection tool derived from the Fried frailty phenotype (FFP). This tool was developed to facilitate the identification of frail individuals in constrained settings, addressing the challenges posed by uncertain cutoffs of FFP indicators in prompt frailty assessment. DesignA longitudinal study and a cross-sectional study. Settings and ParticipantsA total of 1978 older adults aged 67.4 ± 6.16 years from the China Health and Retirement Longitudinal Study (CHARLS), and 972 older adults aged 72.8 ± 6.75 years from a pilot cross-sectional study conducted in Shanghai communities. MethodsFrailty was assessed according to the FFP criterion. A Chinese modified frailty phenotype (CMFP) was developed, incorporating specific cutoffs for grip strength and an alternative test for walk speed. The internal consistency reliability, the criterion, and predictive validity of the CMFP were evaluated. ResultsThe 5-time chair stand test (5t-CST) was significantly associated with the 2.5-m walk test (r = 0.373 in the CHARLS and 0.423 in the pilot study). Each element of the CMFP showed moderate to strong correlations with the total CMFP score and showed Cronbach's alpha of 0.303 and 0.358 in both populations. The Spearman's r and kappa values between the CMFP and the FFP were 0.795 and 0.663 in the CHARLS, and 0.676 and 0.537 in the pilot study. The areas under the curve (AUC) were 0.936 and 0.928 in the 2 studies, respectively. In addition, frailty assessed by the CMFP significantly predicted future incidence of outcomes, including all-cause mortality, activities of daily living (ADL)/instrumental ADL disability, hospitalization, and depression. Conclusions and ImplicationsThe study demonstrated the CMFP as a valid tool, particularly highlighting its excellent predictive ability on outcomes. The 5t-CST may act as a viable alternative test for assessing slowness. The CMFP can be systematically integrated into preclinical practice to identify frail individuals, especially within constrained spaces.

Associations of prediabetes and sleep duration, and inflammation as a mediator in the China Health and Retirement Longitudinal Study

ObjectiveThe objective of this study was to examine the relationship between sleep duration and prediabetes, as well as to evaluate the influence of inflammation in mediating this association. MethodsA total of 4632 participants from the China Health and Retirement Longitudinal Study (CHARLS) were included in this study, comprising both baseline and 4-year follow-up data. The prospective relationship between sleep duration and the risk of prediabetes was examined using logistic regression models. We used multinomial logistic regression to evaluate the impact of prediabetes on sleep duration changes over follow-up, assessing the role of C-reactive protein in the association using mediation analysis. ResultsParticipants with short sleep duration (<5 hours) had a higher risk of prediabetes (odds ratios=1.381 [95% CI: 1.028-1.857]) compared to those with normal sleep durations (7-8 hours). However, excessive sleep durations (≥9 hours) did not show a statistically significant association with prediabetes risk. Moreover, individuals at least 60years old who experienced short sleep durations exhibited a higher risk of prediabetes. Individuals with prediabetes were more likely to have shorter sleep duration than excessive sleep duration (relative risk ratios=1.280 [95% CI: 1.059-1.547]). The mediation analysis revealed a mediating effect of C-reactive protein on the association between prediabetes and reduced sleep duration. ConclusionsShort sleep duration was identified as a risk factor for the incidence of prediabetes. Conversely, prediabetes was found to contribute to shorter sleep duration rather than excessive sleep duration. Moreover, elevated levels of C-reactive protein may serve as a potential underlying mechanism that links prediabetes with shorter sleep.

Prevalence and risk factors associated with circadian syndrome in community-dwelling middle-aged to older adults: Based on health ecology model

ObjectivesTo explore the prevalence and risk factors associated with circadian syndrome (CricS) in community-dwelling middle-aged to older adults. MethodWe performed a cross-sectional analysis of 13,516 participants from the China Health and Retirement Longitudinal Study (CHARLS). We used logistic regression to compute the odds ratios (OR) and 95 % confidence intervals (Cls), using covariates derived through the health ecology model. ResultsThe overall prevalence of CricS was 31.5 % (25.0 % males and 37.1 % females). With controlling all covariates, social isolation (OR 1.164, 95%CI 1.033–1.310), irritable mood (OR 1.689, 95%CI 1.488–1.917), fear responses (OR 1.546, 95%CI 1.262–1.894), chronic disease (OR 1.577, 95%CI 1.392–1.788), and financial debt (OR 0.806, 95%CI 0.657–0.990) were significantly correlated with increased CricS risk in males, whereas CricS syndrome was significantly associated with age (OR 1.285, 95%CI 1.214–1.361), married (OR 1.258, 95%CI 1.089–1.452), current drinkers (OR 0.835, 95%CI 0.716–0.974), social isolation (OR 1.175, 95%CI 1.065–1.296), irritable mood (OR 1.346, 95%CI 1.210–1.497), fear responses (OR 1.202, 95%CI 1.047–1.378), chronic disease (OR 1.363, 95%CI 1.225–1.517), chronic pain (OR 1.177, 95%CI 1.058–1.309), and universal basic income (OR 0.742, 95%CI 0.611–0.900) in females. ConclusionCricS is common in middle-aged to older adults, and health behavior factors have an important impact on CricS. The potential predictors identified for CricS should be further studied to prevent the occurrence of adverse health events in the presenium stage.

Effects of indoor air pollution from household solid fuel use on the risk of gastrointestinal and liver diseases in middle aged and elderly adults

Solid fuels are widely used in China and increase the concentrations of indoor air pollutants. Nevertheless, there is limited longitudinal evidence linking solid fuel use and Gastrointestinal (GI) and liver diseases. This study aimed to prospectively investigate the association between household solid fuel use and the risk of GI and liver diseases in middle aged and elderly adults. This work was based on the China Health and Retirement Longitudinal Study (CHARLS). Longitudinal data incorporate with cross-sectional data were analyzed. Compared with individuals using clean fuel for cooking, solid fuel users were observed to have higher risk of GI diseases (OR in 2011, 2013, 2015, 2018 wave separately: 1.37, 95 % CI: 1.24–1.50, P < 0.001; 1.24, 95 % CI: 1.11–1.39, P < 0.001; 1.18, 95 % CI: 1.06–1.33, P < 0.001; 1.23, 95 % CI: 1.04–1.45, P < 0.05). The associations between solid fuel use and liver diseases were not significant in most of the groups. Participants transforming from solid to clean cooking fuels had lower risk of GI and liver diseases than persistent solid fuel users. Moreover, biomass cooking fuel users were at a significant higher risk of both liver and GI diseases compared with clean fuel users. Overall, household solid fuel use, especially for cooking, was related to higher risk of GI and liver diseases, while switching from solid to clean fuels could reduce this risk. Using biomass for cooking was identified to be more associated with the increasing risk of GI and liver diseases than cooking with coal.