Influence Of Social Participation Research Articles

The influence of social participation and depressive symptoms on cognition among middle-aged and older adults

BackgroundThe global aging phenomenon has raised concerns about the cognitive abilities of older individuals. This study aimed to explore the relationship between social participation, depressive symptoms, and cognitive function among middle-aged and older adults. MethodsThis study utilized data from the China Longitudinal Study of Health and Retirement (CHARLS) from wave 1 to wave 4. We used linear regression and generalized estimation equations to investigate the correlation between social participation, depressive symptoms, and cognitive function. Moreover, three models were constructed by adjusting covariates, and we used the sobel test and bootstrap method to analyze the mediating effects of depressive symptoms on social activities and cognitive function. ResultsThe results of both linear regression and generalized estimation equation showed that social participation had a positive correlation with cognitive function (P < 0.05), and the impact of social participation on cognition increased with the number of social activity types. Meanwhile, depressive symptoms had a negative association with cognitive function (P < 0.05). Furthermore, there was no interaction between social participation and depressive symptoms on cognitive function. Finally, after adjusting the model, social participation could affect cognitive function by affecting depressive symptoms (P < 0.05). ConclusionThe study emphasizes the mediating role of depressive symptoms in the relationship between social participation and cognitive function. Notably, no interaction was observed between social participation and depressive symptoms. These findings highlight the potential of active social participation in reducing depressive symptoms and enhancing cognitive function in middle-aged and older adults.

A Chaotic Fish Swarm Algorithm-Based Model for Assessing the Mental Health Status of Older Adults

In this paper, the chaotic fish swarm algorithm is used to conduct in-depth research and analysis on the assessment of the mental health of the elderly. Firstly, the principle, search method, and characteristics of the harmonic search algorithm are analysed, and it is proposed to use the excellent local fine-tuning ability of the harmonic search algorithm to improve the local search accuracy of the artificial fish swarm algorithm. Then, the concept of chaos factor is introduced to improve the global search of the artificial fish swarm algorithm efficiency, using its global search capability without repeated traversal to form a new hybrid fish swarm algorithm. The comparison of experimental results shows that the improved algorithm can effectively guide the robot to avoid obstacles and quickly find the best path or a better path. The improved hybrid algorithm is more efficient and reliable than other algorithms in path planning and can handle more a complex environment model. When considering sample selection bias, ordinary least squares (OLS) regression may underestimate the extent to which social participation affects the mental health of older adults. Further research found that there is heterogeneity in the influence of social participation on the mental health of the elderly. In addition, different types of social participation have different effects on the mental health of the elderly. Simply making friends, physical exercise, and recreational participation in social activities can significantly improve the mental health of the elderly. The improvement is the strongest.

Influence of social participation and support on self-rated health among Chinese older adults: Mediating role of coping strategies

Influence of social participation and support on self-rated health among Chinese older adults: Mediating role of coping strategies

The Association between Social Participation and Loneliness of the Chinese Older Adults over Time-The Mediating Effect of Social Support.

Based on activity theory, this paper employed data from the 2013, 2015, and 2018 waves of the China Health and Retirement Longitudinal Survey, and adopted Hierarchical Linear Modeling and longitudinal mediation analysis to explore the temporal variation characteristics of loneliness and the influence of social participation on loneliness in Chinese Older Adults, as well as the mechanism of them. The study found that loneliness among older adults overall was at a moderate level from 2013 to 2018 and increased over time, which may be related to decreasing social participation from year to year. Decreased social participation was associated with increased loneliness over time (β = −0.060, p < 0.001) and lower social support (β = 0.109, p < 0.001), which was associated with more loneliness (β = −0.098, p < 0.001). In addition, social support played a significant mediating role in the realization of social participation in alleviating loneliness. Social participation can not only directly reduce loneliness, but also reduce loneliness by increasing social support.

Social participation and self-reported health in China: evidence from Chinese middle-aged and elderly adults

PurposeSocial participation (SP) has been shown to have a favorable impact on health status, particularly among elders in developed countries. However, empirical study is scarce for China. This study explores the relation between social participation (SP) and health status among middle-aged adults and elders in China when controlled socioeconomic characteristics of individuals.Design/methodology/approachThis paper employs an empirical study based on the data from a three-wave national longitudinal survey: the Chinese Health and Retirement Longitudinal Study (CHARLS) from 2011, 2013 to 2015. It collects data from 28,895 individuals aged 45–84. It uses lagged variable method (LV) to address the reverse causality problem, and the random-effects model or fixed-effect model to address the heterogeneity problem.FindingsThe paper finds the social participation positively affect self-reported health statistically. The influence of social participation on self-reported health flows through two channels: the improved mental health effect (SP-MH-SRH channel) and the increased income effect (SP-income-SRH channel). In comparison with the SAP-income-SRH channel, the influence of the SP-MH-SRH channel l is greater.Research limitations/implicationsFirst, the absence of other measures of volunteering, such as hours of social participation that are not available in the employed dataset. Second, even though the LV model and FE model are used in the paper, there may remain the endogeneity problem in the results. Third, the influences of formal and informal social participation should be distinguished in the future research.Social implicationsSocial participation may improve the self-reported health status. The influence of SP on health may be due to the improved mental health effect (SP-MH-SRH channel). In order to improve the mental and physical health status of middle-aged adults and elders the government should consider even more promotion of social participation.Originality/valueFirst, this paper focuses on the correlation between social participation and well-being (self-reported health) of middle-aged adults and elderly in China, the previous studies on the issue for China are scarce. Second, this paper uses the lagged variable method (LV) to address the reverse causal relation problem, and the fixed-effects model or the random-effects model to address the heterogeneity problem. Third, the two channels (the improved mental health effect and the increased income effect) are firstly investigated in this study.

장애노인의 사회참여가 일상생활만족도에 미치는 영향: 주관적 건강상태와 자아존중감의 매개효과

Objectives : The purpose of this study was to analyze the relationships among social participation, self-rated health status, self-esteem and daily life satisfaction of the elderly with disabilities. It especially focused on the mediating effects of self-rated health status and self-esteem on the relationship between social participation and daily life satisfaction. Methods : From the fifth panel survey of employment for the disabled, data for 518 elderly over age of 65 were analyzed with SPSS 22.0, SmartPLS 2.0 M3 and the Sobel test. Results : First, social participation of the elderly with disabilities had a positive influence on the self-rated health status and self-esteem. The direct effect of self-rated health status and self-esteem on daily life satisfaction was statistically significant. However, the influence of social participation on daily life satisfaction was not statistically significant. Second, the self-rated health status and self-esteem had a mediating effect on the relationship between social participation and daily life satisfaction. Conclusions : This study shows that it is important to provide an integrated social participation support program that coincides with a variety of social programs to elderly with disabilities.

The Influence of Social Participation on Quality of Life in the Elderly with Parkinson’s Disease

The Influence of Social Participation on Quality of Life in the Elderly with Parkinson’s Disease