Developing and validating a Chinese multimorbidity-weighted index for middle-aged and older community-dwelling individuals

Association between possible sarcopenia, all-cause mortality, and adverse health outcomes in community-dwelling older adults in China

The relationship between possible sarcopenia and mortality remains ambiguous within Asian populations. To clarify this, we investigated the association in older adults residing in Chinese communities. Utilizing data from the China Health and Retirement Longitudinal Study, this population-based cohort study included individuals aged ≥ 60 years, followed from 2011 to 2012 through 2020. Possible sarcopenia was defined in accordance with the Asian Working Group on Sarcopenia 2019 criteria, and Cox proportional hazards regression was used to analyze its impact on mortality, while exploratory analyses were conducted to investigate the associations of possible sarcopenia with chronic diseases, functional independence, and hospitalization frequency. The study encompassed 5,160 participants (median age: 66 years), nearly half of whom (48.8%) were identified with possible sarcopenia. Over a 9-year follow-up period, there were 1216 recorded deaths. Analysis indicated that individuals with possible sarcopenia faced a significantly elevated mortality risk compared to their counterparts (HR: 1.79, 95% CI: 1.58-2.03; P < 0.001). Further, subgroup analyses confirmed a strong association between possible sarcopenia and all-cause mortality across various subgroups, including those related to sex, obesity status, and living environment. Additionally, exploratory analyses revealed that possible sarcopenia was significantly associated with an increased likelihood of heart disease (OR = 1.18, 95% CI: 1.03-1.34, P = 0.014) and stroke (OR = 1.41, 95% CI: 1.19-1.68, P < 0.001), as well as reduced functional independence (β = -0.17, 95% CI: -0.24--0.10, P < 0.001). Possible sarcopenia was also associated with a higher frequency of hospitalizations at baseline (Exp(β) = 1.50, 95% CI: 1.25-1.81, P < 0.001), although this association was no longer significant during the follow-up period. In conclusion, in Chinese community-dwelling older adults, possible sarcopenia was associated with an increased risk of all-cause mortality, several chronic diseases, and functional dependence. Thus, alleviating or preventing possible sarcopenia may improve health outcomes and extend the lifespan of these individuals.

Reciprocal Relations of Social Isolation and Multimorbidity in Chinese Elderly

INTRODUCTION

This study aims to investigate the bidirectional associations between social isolation (SI) and multimorbidity among Chinese older adults.

METHODS

Data from six waves of the Chinese Longitudinal Healthy Longevity Survey spanning from 2002 to 2018 were analyzed. A General Cross-Lagged Model was employed in 2023 to investigate the temporal interrelationships between SI and multimorbidity among individuals aged 65 years and older.

RESULTS

In the short-term, significant bidirectional associations between SI and multimorbidity were found. Higher levels of SI at a given time point were associated with increased multimorbidity scores in the future, while greater levels of multimorbidity at a given time were associated with higher future SI scores. In the long-term, it is more likely that initial multimorbidity affect SI rather than initial SI affecting multimorbidity.

CONCLUSIONS

This study contributes to the understanding of the bidirectional associations between SI and multimorbidity among Chinese older adults, highlighting that initial multimorbidity was associated with future SI.

Validity of the Chinese multimorbidity-weighted index in measuring disease burden using health check-ups data in primary care

BACKGROUND

As multimorbidity becomes common that imposes a considerable burden to patients, but the extent to which widely-used multimorbidity indexes can be applied to quantify disease burden using primary care data in China is not clear. We applied the Chinese Multimorbidity-Weighted Index (CMWI) to health check-ups data routinely collected among older adults by primary care, to examine its validity in measuring multimorbidity associated risks of disability and mortality in annual follow-ups.

METHODS

The study utilized data from annual health check-ups of older adults, which included information on individual age, sex, and 14 health conditions at primary care in a district of Guangzhou, Guangdong, China. The risk of CMWI for mortality was analysed in a total sample of 45,009 persons 65 years and older between 2014 and 2020 (average 2.70-year follow-up), and the risk for disability was in a subsample of 18,320 older adults free of physical impairment in 2019 and followed-up in 2020. Risk of death and disability were assessed with Cox proportional hazard regression and binary logistic regression, respectively, with both models adjusted for age and sex variables. The model fit was assessed by the Akaike information criterion (AIC), and C-statistic or the area under the receiver operating characteristic curve (AUC).

RESULTS

One unit increase in baseline-CMWI (Median= 1.70, IQR: 1.30-3.00) was associated with higher risk in subsequent disability (OR = 1.12, 95%CI = 1.05,1.20) and mortality (OR = 1.18, 95%CI = 1.14, 1.22). Participants in the top tertile of CMWI had 99% and 152% increased risks of disability and mortality than their counterparts in the bottom tertile. Model fit was satisfied with adequate AUC (0.84) or C-statistic (0.76) for both outcomes.

CONCLUSIONS

CMWI, calculated based on primary care's routine health check-ups data, provides valid estimates of disability and mortality risks in older adults. This validated tool can be used to quantity and monitor older patients' health risks in primary care.

WeChat usage and preservation of cognitive functions in middle-aged and older Chinese adults: indications from a nationally representative survey, 2018-2020

PURPOSE

To investigate the associations between the most popular social media platform WeChat usage and cognitive performance among the middle-aged and older Chinese population using data from a nationally representative survey.

METHODS

In total, 17,472 participants (≥ 45 years old) from the China Health and Retirement Longitudinal Study (CHARLS, Wave 4, 2018) were analyzed. Cognitive performance including episodic memory and executive function was assessed using Mini-Mental Status Examination (MMSE). Other confounding variables included socio-economic characteristics, medical status, and lifestyle-related information. Multiple linear regression models were used to test the association between cognitive performance and WeChat usage by introducing covariates hierarchically. Subgroup analyses of age and gender were conducted to estimate the robustness of the primary findings.

RESULTS

After adjusting for multiple confounders across all linear models, WeChat usage is significantly associated with executive function, episodic memory, and global cognitive performance (all p values<0.05). Such results remained robust in subgroup analyses, stratified by age and gender, and also verified according to longitudinal analyses. Compared to 'Chat-only' users who only used WeChat for online interpersonal communication, further usage of WeChat functions such as using 'Moments' appeared to be significantly associated with better cognitive performance, especially for episodic memory.

CONCLUSION

Social media usage is significantly and positively associated with better cognitive performance among the middle-aged and older Chinese population. Along with point-to-point messaging, using 'Moments' and extended social media platform functions may correlate to better cognitive performance.

Reciprocal and Dynamic Associations between Social Isolation, Loneliness, and Disability among Chinese Older Adults

OBJECTIVES

This study aimed to examine reciprocal and dynamic associations between Social Isolation (SI), loneliness, and disability among Chinese older adults.

DESIGN

This is a prospective cohort study.

SETTING AND PARTICIPANTS

The global trend of population aging has resulted in a significant rise in the prevalence of disabilities, SI, and loneliness among older adults. These factors can severely impact the health and well-being of older adults. Therefore, it is crucial to implement more efficient interventions aimed at reducing disabilities, addressing SI, and combating loneliness among older adults in order to improve their overall health and well-being.

METHODS

Using a large, nationally representative sample spanning 16 years, we employed the general cross-lagged panel model to explore the relationships among 50,348 older adults with a mean age of 81.83 at baseline. Disability was measured by a comprehensive index tool that incorporated multiple dimensions. SI was measured using an SI index, and loneliness was evaluated using a single-item measure.

RESULTS

SI emerged as a stronger predictor of disability than loneliness. Longitudinal analysis revealed accumulative disadvantages in the association between SI and disability. Additionally, disability was found to contribute to increased SI and loneliness. However, our study did not detect any variance in the strength of the cross-lagged effects between social isolation and disability.

CONCLUSIONS AND IMPLICATIONS

The findings suggest that reducing SI is crucial for reducing disability among older adults. Initiating early interventions to minimize initial SI could aid in preventing later-life disability. Additionally, addressing disabilities may positively impact the reduction of loneliness and SI within this population.

The bidirectional relationship between activities of daily living and frailty during short-and long-term follow-up period among the middle-aged and older population: findings from the Chinese nationwide cohort study

Objective

Frailty and activities of daily living (ADL) disability are common conditions among older population. Studies on the bidirectional relationship between frailty and ADL are limited. The current study examined the cross-sectional and longitudinal associations between frailty and ADL in middle-aged and older Chinese individuals.

Methods

The data was collected through the China Health and Retirement Longitudinal Study (CHARLS), conducted in 2011, 2013, and 2015, encompassing 17,284 individuals aged ≥45 years. We excluded individuals without follow-up data. 2,631 participants finished the baseline survey. The definition of ADL disability encompasses difficulty in engaging in either basic activities of daily living (BADL) or instrumental activities of daily living (IADL). Frailty was assessed according to the Fried criteria. Logistic regression was utilized to examine odds ratios (ORs) and 95% confidence intervals (CIs) for assessing the cross-sectional relationships between ADL with frailty at baseline. The prediction effects were explored using Cox proportional hazards analysis, testing hazard ratios (HRs) and 95%CIs.

Results

In cross-sectional analysis, BADL [OR = 6.660 (4.519-9.815)], IADL [OR = 5.950 (4.490-7.866)], and ADL [OR = 5.658 (4.278-7.483)] exhibited significant associations with frailty; frailty demonstrated significant associations with BADL [OR = 6.741 (4.574-9.933)], IADL [OR = 6.042 (4.555-8.016)] and ADL [OR = 5.735 (4.333-7.591)]. In longitudinal analysis, IADL and ADL were significantly associated with frailty in participants without baseline frailty in the short-term period [IADL: HR = 1.971 (1.150-3.379), ADL: HR = 1.920 (1.146-3.215)], IADL exhibited a significant association with frailty in the long-term period [HR = 2.056 (1.085-3.895)]. There was no significant link observed between frailty and an elevated risk of disability onset in BADL, IADL and ADL during the short-term period. When considering the long-term perspective, frailty exhibited a significant association with an elevated risk of disability onset in BADL [HR= 1.820 (1.126-2.939)] and IADL [HR = 1.724 (1.103-2.694)].

Conclusion

In middle-aged and older adults, ADL and IADL disability predicted frailty after 2-year follow-up, IADL disability predicted frailty after 4-year follow-up. Moreover, frailty did not predict BADL, IADL and ADL disability after 2-year follow-up. However, frailty predicted BADL and IADL disability after 4-year follow-up.

Comparing a new multimorbidity index with other multimorbidity measures for predicting disability trajectories

BACKGROUND

The optimal multimorbidity measures for predicting disability trajectories are not universally agreed upon. We developed a multimorbidity index among middle-aged and older community-dwelling Chinese adults and compare its predictive ability of disability trajectories with other multimorbidity measures.

METHODS

This study included 17,649 participants aged ≥50 years from the China Health and Retirement Longitudinal Survey 2011-2018. Two disability trajectory groups were estimated using the total disability score differences calculated between each follow-up visit and baseline. A weighted index was constructed using logistic regression models for disability trajectories based on the training set (70 %). The index and the condition count were used, along with the pattern identified by the latent class analysis to measure multimorbidity at baseline. Logistic regression models were used in the training set to examine associations between each multimorbidity measure and disability trajectories. C-statistics, integrated discrimination improvements, and net reclassification indices were applied to compare the performance of different multimorbidity measures in predicting disability trajectories in the testing set (30 %).

RESULTS

In the newly developed multimorbidity index, the weights of the chronic conditions varied from 1.04 to 2.55. The multimorbidity index had a higher predictive performance than the condition count. The condition count performed better than the multimorbidity pattern in predicting disability trajectories.

LIMITATION

Self-reported chronic conditions.

CONCLUSIONS

The multimorbidity index may be considered an ideal measurement in predicting disability trajectories among middle-aged and older community-dwelling Chinese adults. The condition count is also suggested due to its simplicity and superior predictive performance.

Multimorbidity, healthy lifestyle, and the risk of cognitive impairment in Chinese older adults: a longitudinal cohort study

BACKGROUND

Evidence on the association between multimorbidity and cognitive impairment in Chinese older population is limited. In addition, whether a healthy lifestyle can protect cognitive function in multimorbid older population remains unknown.

METHODS

A total of 6116 participants aged ≥ 65 years from the Chinese Longitudinal Healthy Longevity Survey were followed up repeatedly. The number of coexisting chronic diseases was used for assessing multimorbidity and cardiometabolic multimorbidity. Three lifestyle statuses (unhealthy, intermediate, and healthy) were defined based on a lifestyle score covering smoking, alcohol drinking, body mass index, outdoor activities, and dietary pattern. Cognitive impairment was defined as the Mini-Mental State Examination score < 24. A modified Poisson regression model with robust error variance was used to assess the associations between multimorbidity, healthy lifestyle, and cognitive impairment.

RESULTS

During a median follow-up period of 5.8 years, 1621 incident cases of cognitive impairment were identified. The relative risk (RR) of cognitive impairment associated with heavy multimorbidity burden (≥ 3 conditions) was 1.39 (95% confidence interval: 1.22-1.59). This association declined with age, with RRs being 3.08 (1.78-5.31), 1.40 (1.04-1.87), and 1.19 (1.01-1.40) in subjects aged < 70 years, ≥ 70 and < 80 years, and ≥ 80 years, respectively (P for interaction = 0.001). Compared to unhealthy lifestyle, a healthy lifestyle was related to an approximately 40% reduced risk of cognitive impairment regardless of multimorbidity burden. Among the 5 lifestyle factors assessed, daily outdoor activities and a healthy dietary pattern showed convincing protective effects on cognitive function.

CONCLUSIONS

The relationship between multimorbidity and cognitive impairment is age-dependent but remains significant in the population aged 80 years or older. A healthy lifestyle may protect cognitive function regardless of the multimorbidity burden. These findings highlight the importance of targeting individuals with heavy multimorbidity burden and promoting a heathy lifestyle to prevent cognitive impairment in Chinese older population.

Taking precautions in advance: a lower level of activities of daily living may be associated with a higher likelihood of memory-related diseases

Introduction

Memory-related diseases (MDs) pose a significant healthcare challenge globally, and early detection is essential for effective intervention. This study investigates the potential of Activities of Daily Living (ADL) as a clinical diagnostic indicator for MDs. Utilizing data from the 2018 national baseline survey of the China Health and Retirement Longitudinal Study (CHARLS), encompassing 10,062 Chinese individuals aged 45 or older, we assessed ADL using the Barthel Index (BI) and correlated it with the presence of MDs. Statistical analysis, supplemented by machine learning algorithms (Support Vector Machine, Decision Tree, and Logistic Regression), was employed to elucidate the relationship between ADL and MDs.

Background

MDs represent a significant public health concern, necessitating early detection and intervention to mitigate their impact on individuals and society. Identifying reliable clinical diagnostic signs for MDs is imperative. ADL have garnered attention as a potential marker. This study aims to rigorously analyze clinical data and validate machine learning algorithms to ascertain if ADL can serve as an indicator of MDs.

Methods

Data from the 2018 national baseline survey of the China Health and Retirement Longitudinal Study (CHARLS) were employed, encompassing responses from 10,062 Chinese individuals aged 45 or older. ADL was assessed using the BI, while the presence of MDs was determined through health report questions. Statistical analysis was executed using SPSS 25.0, and machine learning algorithms, including Support Vector Machine (SVM), Decision Tree Learning (DT), and Logistic Regression (LR), were implemented using Python 3.10.2.

Results

Population characteristics analysis revealed that the average BI score for individuals with MDs was 70.88, significantly lower than the average score of 87.77 in the control group. Pearson's correlation analysis demonstrated a robust negative association (r = -0.188, p < 0.001) between ADL and MDs. After adjusting for covariates such as gender, age, smoking status, drinking status, hypertension, diabetes, and dyslipidemia, the negative relationship between ADL and MDs remained statistically significant (B = -0.002, β = -0.142, t = -14.393, 95% CI = -0.002, -0.001, p = 0.000). The application of machine learning models further confirmed the predictive accuracy of ADL for MDs, with area under the curve (AUC) values as follows: SVM-AUC = 0.69, DT-AUC = 0.715, LR-AUC = 0.7. Comparative analysis of machine learning outcomes with and without the BI underscored the BI's role in enhancing predictive abilities, with the DT model demonstrating superior performance.

Conclusion

This study establishes a robust negative correlation between ADL and MDs through comprehensive statistical analysis and machine learning algorithms. The results validate ADL as a promising diagnostic indicator for MDs, with enhanced predictive accuracy when coupled with the Barthel Index. Lower levels of ADL are associated with an increased likelihood of developing memory-related diseases, underscoring the clinical relevance of ADL assessment in early disease detection.

Self-rated health, interviewer-rated health, and objective health, their changes and trajectories over time, and the risk of mortality in Chinese adults

Background

Self-rated health (SRH), interviewer-rated health (IRH), and objective health reflect the overall health status from different aspects. This study aimed to investigate the associations of SRH, IRH, and objective health with mortality among Chinese older adults.

Methods

This study used data from the 2008 (baseline), 2011, 2014 and 2018 waves of the Chinese Longitudinal Healthy Longevity Survey. SRH and IRH were evaluated by questionnaire. Objective health was evaluated by the Chinese multimorbidity-weighted index (CMWI), which incorporated 14 diagnosed chronic diseases. SRH, IRH, and CMWI were assessed as: (1) baseline levels; (2) longitudinal changes by subtracting the values obtained in 2008 from the corresponding values in 2014; (3) trajectories by Group-Based Trajectory Modeling, respectively. The Cox proportional hazards model was used to explore the associations of baseline SRH, IRH, and CMWI, their changes, and trajectories with mortality.

Results

A total of 13,800 participants were included at baseline (2008). The baseline SRH ([hazard ratio] 0.93, [95% confidence interval] 0.91-0.96), IRH (0.84, 0.81-0.87), and CMWI (0.99, 0.98-1.00) in 2008 were significantly associated with 10-year mortality (2008 to 2018). Among 3,610 participants, the changes of SRH (0.93, 0.87-0.98), IRH (0.77, 0.71-0.83), and CMWI (0.97, 0.95-0.99) from 2008 to 2014 were significantly associated with 4-year mortality (2014-2018). The trajectories were divided into "high SRH/IRH/CMWI" and "low and declining SRH/IRH/CMWI." Compared with "low and declining SRH/IRH/CMWI," "high SRH" (0.58, 0.48-0.70), "high IRH" (0.66, 0.55-0.80), and "high CMWI" (0.74, 0.61-0.89) from 2008 to 2014 were significantly associated with 4-year mortality (2014-2018).

Conclusion

Baseline SRH, IRH, and CMWI, their changes and trajectories are all associated with mortality in Chinese older adults. It is possibly necessary to promote the use of cost-effective indicators in primary medical institutions to improve the health management of the older adults.

The prevalence, incidence, and persistence of self-reported visual impairment among Chinese population with diabetes mellitus: evaluation from a nationally representative survey, 2015-2018

Aims

Our aim was to investigate the prevalence, incidence, and persistence of visual impairment (VI) and their correlates among the Chinese population with diabetes mellitus (DM) over 3 years.

Materials and methods

The China Health and Retirement Longitudinal Survey is the first nationally representative longitudinal survey of the Chinese population. A cross-sectional analysis of prevalent VI in 2015 consisted of 2,173 participants with DM. A longitudinal observation of incident and persistent VI consisted of 1,633 participants from 2015 to 2018. Risk factors of VI were identified via univariate and multivariate logistic regression analyses.

Results

Among our study population with DM, 11.8% reported VI in 2015, 4.5% had persistent VI from 2015 to 2018, and 8.9% developed VI in 2018. Factors identified to be correlated to VI (p < 0.05) were older age, being a woman, lower educational attainment, living in a rural area, application of DM medication and non-pharmacological treatment, receiving DM-related tests, use of spectacles, and poorer health status.

Conclusion

This most recent national data provides a baseline for future public health initiatives on VI among the Chinese population with DM. With multiple risk factors identified, these could provide concurrent targets for various public health strategies and interventions with the aim of reducing the burden of VI among the population with DM in China.

Effects of family multi-generational relationship on multimorbidity and healthy life expectancy for second generations: insight from the China Health and Retirement Longitudinal Study

OBJECTIVE

In the context of aging, Chinese families consisting of more than three generations (grandparents, parents, children) are the norm. The second generation (parents) and other family members may establish a downward (contact only with children) or two-way multi-generational relationship (contact with children and grandparents). These multi-generational relationships may have the potential effect on multimorbidity burden and healthy life expectancy in the second generation, but less is known about the direction and intensity of this effect. This study aims to explore this potential effect.

METHODS

We obtained longitudinal data from the China Health and Retirement Longitudinal Study from 2011 to 2018, which included 6,768 people. Cox proportional hazards regression was used to assess the association between multi-generational relationships and the number of multimorbidity. The Markov multi-state transition model was used to analyze the relationship between multi-generational relationships and the severity of multimorbidity. The multistate life table was used to calculate healthy life expectancy for different multi-generational relationships.

RESULTS

The risk of multimorbidity in two-way multi-generational relationship was 0.830 (95% CIs: 0.715, 0.963) times higher than that in downward multi-generational relationship. For mild multimorbidity burden, downward and two-way multi-generational relationship may prevent aggravation of burden. For severe multimorbidity burden, two-way multi-generational relationship may aggravate the burden. Compared with two-way multi-generational relationship, the second generations with downward multi-generational relationship has a higher healthy life expectancy at all ages.

CONCLUSION

In Chinese families with more than three generations, the second generations with severe multimorbidity burden may aggravate the condition by providing support to elderly grandparents, and the support provided by offspring to the second generations plays a vital positive role in improving the quality of life and narrowing the gap between healthy life expectancy and life expectancy.

Do Sensory Impairments Portend Cognitive Decline in Older Chinese Adults? Longitudinal Evidence from a Nationally Representative Survey, 2011-2018

Previous studies on longitudinal sensory-cognition association are limited and have yielded inconsistent conclusions in western and developed countries. The present study obtained data from the China Health and Retirement Longitudinal Survey (CHARLS, 2011−2018) and aimed to investigate the longitudinal effects of sensory impairments including single vision impairment (SVI), single hearing impairment (SHI), and dual sensory impairment (DSI) on cognitive decline in middle-aged and older Chinese population. In total, 11,122 participants accomplished all 4 interviews over 8 years and were included. Cognitive performances were assessed using Mini-Mental Status Examination (MMSE) and self-reported sensory status were accepted as well. Confounding variables included age, sex, educational level, marital status, medical, and lifestyle related information. The impact of sensory impairment on cognitive decline over time was assessed using linear mixed-effects models (LMM). After being adjusted for multiple confounders, SVI/SHI/DSI were all shown to be significantly associated with executive functions, episodic memory impairment, and global cognitive decline over 8 years (all p < 0.05). Such associations become less significant among female and relatively younger populations (45−59 years old). Single vision and hearing impairments, along with dual sensory impairment, are all independently associated with subsequent cognitive decline among middle-aged and older Chinese populations over 8 years of longitudinal observation.

Adherence to Annual Fundus Exams among Chinese Population with Diagnosed Diabetes

Adherence to annual fundus examinations in the Chinese population with diabetes and its correlates have not been investigated. The present study obtained data for the first nationally representative survey in China, China Health and Retirement Longitudinal Survey (CHARLS), which collected a wide range of data every 2 years, including demographic, socioeconomic, medical and lifestyle-related information. The adherence rates to annual fundus exams across four waves (2011−2018) were assessed. Univariate and multivariable logistic regressions were used to determine factors associated with adherence. The adherence rates to annual fundus examinations of ou study population were 23.6% in 2011, 15.3% in 2013, 17.5% in 2015 and 21.5% in 2018, respectively. Consistent results over four waves showed that non-adherent patients had a relatively lower educational level, insufficient diabetes medication use, fewer non-medication treatments and irregular physical examination compared to those who were adherent to the annual fundus exam (all p values < 0.05). These variables were further identified as factors associated with adherence according to univariate and multivariate logistic regression analyses (all p values < 0.05). The present study provides explicit evidence that the adherence rate to annual fundus examinations among Chinese population with diabetes is worryingly low. Insufficient educational attainment, especially specific diabetes education, has a negative impact on patients’ adherence to clinical guideline for eye health.