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.

Bidirectional and Dynamic Relationships Between Social Isolation and Loneliness Among Older Adults in China.

OBJECTIVES: This study aimed to investigate the bidirectional associations and temporal dynamics between social isolation (SI) and loneliness among older adults. DESIGN: This is a prospective cohort study. SETTING AND PARTICIPANTS: With the global phenomenon of population aging, there has been a significant increase in the prevalence of SI and loneliness among older adults. These factors exert substantial impacts on the health and well-being of this population. Consequently, it is imperative to implement more effective interventions targeting SI and combating loneliness in order to enhance the overall health and well-being of older adults. METHODS: Data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) were analyzed, focusing on individuals aged 65 and older. Generalized Cross-Lagged Modeling (GCLM) was used to assess these associations. RESULTS: The findings reveal significant cross-lagged effects between SI and loneliness over the course of 16 years. Higher levels of SI at 1 time point predict increased loneliness scores in subsequent periods, and greater levels of loneliness at 1 time point predict higher SI scores in future periods. Notably, the impact of SI on loneliness is found to be larger and more enduring compared to the influence of loneliness on SI. These cross-lagged effects persist over an extended period, indicating a long-term reciprocal relationship between SI and loneliness among older adults. CONCLUSIONS AND IMPLICATIONS: This study provides valuable insights into the bidirectional associations between SI and loneliness among older adults. Given that the effect of SI dominates, the findings suggest that public health strategies aimed at promoting health and well-being should prioritize interventions that enrich older adults' social networks. Emphasizing early interventions aimed at enhancing social networks is essential for promoting healthy aging and overall well-being.

Bidirectional Relationships and Mediating Effects Between Social Isolation, Loneliness, and Frailty in Chinese Older Adults.

Background and Objectives: Social isolation (SI) and loneliness are key factors that contribute to frailty among older adults. Current estimates regarding how frailty affects SI and loneliness and how SI and loneliness affect frailty may be flawed due to reverse causality. This study aimed to investigate the bidirectional relationships and mediating effects among SI, loneliness, and frailty among older adults in China. Research Design and Methods: The study analyzed data from 6 waves of the Chinese Longitudinal Healthy Longevity Survey conducted between 2002 and 2018. The sample included individuals aged 65 and older. The General Cross-Lagged Panel Model was used to account for confounding factors and reveal mediating effects. Results: Our findings specifically indicate a direct effect of SI on frailty, although suggesting that loneliness may indirectly affect frailty through its influence on SI. Additionally, frailty can lead to increased SI and loneliness. Discussion and Implications: SI and loneliness are strongly intertwined with frailty among older adults in China. To prevent the development of frailty, public health initiatives should prioritize reducing SI among older adults. Furthermore, efforts to decrease frailty levels can yield positive outcomes by mitigating both SI and loneliness among this population.

Bidirectional and dynamic relationships between social isolation and activities of daily living among older adults in China.

Background: Social isolation and disability in performing activities of daily living are increasingly recognised as significant public health concerns globally. We aimed to investigate their bidirectional associations and the related temporal dynamics in Chinese older adults. Methods: We retrieved data from the six waves of the Chinese Longitudinal Healthy Longevity Survey (2002-18) and used generalised cross-lagged modelling (GCLM) to assess the bidirectional associations between social isolation and disability in performing activities of daily living. Results: We found that higher levels of social isolation were predictive of increased scores in disabilities in performing activities of daily living. Conversely, disabilities in performing activities of daily living showed less predictive power in relation to social isolation. The temporal dynamics analysis indicated a peak in the bidirectional associations after approximately six years, followed by decreasing trends. Conclusions: Our results indicate that social isolation is dominant in the bidirectional relationship. Efforts focusing on reducing it can potentially minimise disabilities in performing activities of daily living among older adults. Reinstating preventive interventions beyond the six-year mark could help maintain their effectiveness.

Patterns of Social Isolation and Low Social Support and Frailty Trajectories Among Chinese Older Adults.

Objectives: This study aims to identify patterns of social isolation and low social support, and discover their associations with frailty trajectories among Chinese older adults. Methods: The paper used five waves of the Chinese Longitudinal Healthy Longevity Survey (CLHLS, 2005-2018). The latent class analysis, multi-trajectory modeling, and the multinomial logistic regression approaches were used to perform the analysis. Results: The paper identified five types of social isolation and low social support, and three typical frailty trajectories. Patterns of social isolation and low social support were associated with frailty trajectories among older adults. Conclusions: Distinct patterns of social isolation and low social support were significantly correlated with frailty trajectories. To improve frailty trajectories among older adults, interventions such as Healthy China 2030 should prioritize addressing the interplay between social isolation and low social support.

Dual trajectories of depression and social participation among Chinese older adults.

OBJECTIVES: This study aimed to investigate the dual trajectories of social participation (SP) and depression among older adults, and explore common factors that may influence both trajectories. METHODS: The study utilized data from four waves of the China Health and Retirement Longitudinal Study (CHARLS, 2011 to 2018). The dual-trajectory model was employed to estimate the dual trajectories of SP and depression. RESULTS: This study identified two SP and three depression trajectories. The results revealed that the reciprocal relationship between SP and depression trajectories is confirmed in all sub-groups of the dual trajectories. Our study identified six distinct sub-groups of individuals based on their SP and depression trajectories and some commen risk factors of SP and depression trajectories. CONCLUSIONS: Related intervention policies should consider the dual trajectories of SP and depression and focus on subgroups with high vulnerability, such as high depression but low SP. Additionally, attention should be given to addressing the common risk factors that underlie these trajectories.

Does long-term care insurance reduce the disability among middle-aged and older adults? Evidence from China.

This study aimed to examine whether the implementation of Long-Term Care Insurance (LTCI) policy could reduce the disability among middle-aged and older adults in China, and to test the heterogeneity of the effects. Data came from four waves of the China Health and Retirement Longitudinal Study (CHARLS, 2011 to 2018). The Difference-In-Differences (DID) method and the panel data fixed effect model were used to estimate the effect of implementation of LTCI policy on disability among individuals aged 45 years and above. The LTCI policy had a positive impact on reducing disability among middle-aged and older people. Females, younger adults, city dwellers, and individuals living alone benefited the most from LTCI policy. The results provided empirical evidence for the implementation of LTCI policy in China and other similar countries as China. The implementation of LTCI policy should also pay more attention to inequity of the effects on reducing disability among different demographic groups.

Age and cohort trends in disability among Chinese older adults.

Objective: This study aimed to examine age and cohort trends in disability among Chinese older adults and explore the disablement process factors that may explain the cohort trends in disability. Methods: This study used data from five waves of the Chinese Longitudinal Healthy Longevity Survey (CLHLS). A hierarchical logistic growth model was used to analyze the A-P-C effects and the contributors of cohort trends. Results: ADL, IADL, and FL among Chinese older adults showed increasing age and cohort trends. FL was more likely to result in IADL disability than ADL disability. Among the disablement process factors, gender, residence, education, health behavior, disease, and family income contributed to most of the cohort trends in disability. Conclusions: As older adults face increasing disability trends, it is necessary to distinguish age and cohort trends and develop more effective interventions according to relative contributors to prevent disability among them.

3-D health trajectories and related childhood predictors among older adults in China.

This study aimed to identify the multi-trajectories of 3-D health of older adults in China and to explore whether the childhood predictors are associated with 3-D health trajectory. Data came from five waves of the China Health and Retirement Longitudinal Study (CHARLS, 2011 to 2018). A multi-trajectory modeling approach was carried out to jointly estimate the trajectories of 3-D health. A multinomial regression model was used to investigate the relationships between childhood predictors and the joint trajectories. We identified three typical joint 3-D health trajectories. Female, childhood health, maternal and paternal educations, childhood friendships, family and neighborhood predictors could all affect 3-D health trajectories of older adults directly or indirectly through adult variables. The 3-D health trajectories showed increasing trends, thus the government should perform more interventions toward the childhood predictors for better health of older adults.