Factors That Influence the Relationship Between Social Support and Health-Related Quality of Life of Older People Living in the Community

Association of smart elderly care and quality of life among older adults: the mediating role of social support

BACKGROUND

In the current context of ageing, the field of smart elderly care has gradually developed, contributing to the promotion of health among older adults. While the positive impact on health has been established, there is a scarcity of research examining its impact on the quality of life (QoL). This study aims to investigate the mediating role of social support in the relationship between smart elderly care and QoL among older adults.

METHODS

A total of 1313 older adults from Zhejiang Province, China, participated in the study. Questionnaires were used to collect data on participants' basic demographic information, smart elderly care, social support, and QoL. The descriptive analyses of the demographic characteristics and correlation analyses of the three variables were calculated. Indirect effects were tested using bootstrapped confidence intervals (CI).

RESULTS

The analysis revealed a positive association between smart elderly care and social support (β = 0.42, p < 0.01), as well as a positive correlation between social support and QoL (β = 0.65, p < 0.01). Notably, social support emerged as an important independent mediator (effect size = 0.28, 95% bootstrap CI 0.24 to 0.32) in the relationship between smart elderly care and QoL.

CONCLUSIONS

The results of this study underscore the importance of promoting the utilization of smart elderly care and improving multi-faceted social support for older adults, as these factors positively contribute to the overall QoL.

Association between Quality of Life, Confinement, and Sex in Adults: A Multigroup Structural Equation Analysis

The state of confinement during the COVID-19 pandemic affected the quality of life of the general population. This study aims to define and contrast an explanatory model of the quality of life in adults and to analyze the relationships between these variables based on the state of confinement and sex. A total of 872 people from Chile aged between 17 and 50 (M = 21.70 years; SD= 3.272), of both sexes (60.90% male and 39.1% female) participated in this research, of whom 46.6% were not confined when tested and 53.4% were confined, analyzing the quality of life. A model of multi-group structural equations was performed, which adjusted very well (χ2 = 559.577; DF = 38; p < 0.001; IFC = 0.934; NFI = 0.916; IFI = 0.934; RMSEA = 0.061). The results show a positive and direct relationship among all the variables studied and the structural equation model proposed according to confinement and sex reveals a good fit in all the evaluation indexes. Stress and sleep, personality, and introspection were the indicators with the greatest influence in the four models, followed by the family and friends indicator with a medium correlation strength, such as the health monitoring dimension, although this was not as influential in confined individuals. The main conclusions are that the best adjustments are obtained in confined adults and females, and the data show that the psychological indicators obtained (stress and sleep, personality, and introspection) have the greatest influence on adults in the four models proposed with regard to their quality of life.

Relationship between intrinsic capacity and health-related quality of life among community-dwelling older adults: the moderating role of social support

PURPOSE

To examine how social support might moderate the relationship between intrinsic capacity and health-related quality of life (HRQoL) based on the buffering model of social support.

METHODS

This was a cross-sectional study with a sample of 1181 Chinese community-dwelling older adults aged ≥ 60 years in 2016. Social support was assessed using the Social Support Rating Scale. Intrinsic capacity was assessed using the revised integrated care for older people screening tool. HRQoL was measured by the 12-item Short Form Health Survey. Hierarchical linear regression analysis was implemented to test the moderating effect of social support.

RESULTS

Support utilization attenuated the relationship between lower intrinsic capacity and poor physical HRQoL while subjective support attenuated the relationship between lower intrinsic capacity and poor mental HRQoL. However, objective support had no significant moderating effect on the relationship between intrinsic capacity and specific domains of HRQoL.

CONCLUSION

The moderating effects of social support on the association between intrinsic capacity and HRQoL vary by support types. Effective interventions should target the perception and utilization of available support among older adults with lower intrinsic capacity to maintain their physical and mental HRQoL.

Social factors of health-related quality of life in older adults: a multivariable analysis

PURPOSE

The objective of the analysis was to examine the relationships between sociodemographic, socioeconomic, psychosocial, and behavioural factors and both physical and mental health-related quality of life (HRQOL) in older adults.

METHODS

The analysis was based on recent cross-sectional data of 1687 community residents from a whole population postal survey of German adults aged 65 years and older (33% response rate, 52% female, mean age 76 years). HRQOL was assessed using the 36-Item Short Form Survey (SF-36v2). For a differentiated analysis, hierarchical multiple linear regressions were performed.

RESULTS

An internal health locus of control, physical activity, social support, and income were positively associated with physical HRQOL (Adj. R2 = 0.34; p < 0.001) and mental HRQOL (Adj. R2 = 0.18; p < 0.001), whereas an external health locus of control and age were negatively associated with both. Alcohol use and educational level were positively associated only with physical HRQOL, whilst female gender was negatively associated only with mental HRQOL.

CONCLUSION

Sociodemographic, socioeconomic, psychosocial, and behavioural factors were associated with physical and mental HRQOL. These results highlight the importance of social factors in HRQOL and provide approaches for policy and practice to develop and implement tailored health interventions for older adults. Our findings may be transferable to municipalities in metropolitan areas of high-income European countries.

CLINICAL TRIAL REGISTRATION

Not applicable.

Influence of perceived importance of the internet on life satisfaction and health of the older people: An analysis based on intermediary and moderating effects

With the global growth of the aging population, healthy aging and active aging has become an important goal for the future social development of all countries. The purpose of this study is to explore the potential relationships between the older people's perceived importance of the Internet, family atmosphere, behavioral independence, life satisfaction, and health. The data come from the China Family Panel Studies' fourth wave (2015-2016) and fifth wave (2017-2018) investigations. According to an analysis of data of 5,948 people over 60 years old performed using LISREL 8.8 software, the selected cases answered the same questions about the perceived importance of the Internet, life satisfaction, and health status in two waves of surveys. The results show that life satisfaction and self-rated health have cross influences, while at the same time both are persistent in the time baseline, and family atmosphere and behavioral independence play an important intermediary role. Therefore, strengthening parent-child interaction, promoting parent-child relationships, and improving behavioral independence can effectively improve the life satisfaction and health status of the older people.

Research on the Relationship between Chinese Elderly Health Status, Social Security, and Depression

(1) Background: To explore the relationship between health status, social security status, and the occurrence of depression in older adults and provide a basis for mental health care services for the elderly population; (2) Methods: This study used the 2018 China Health and Senior Care Tracking Survey (CHARLS) data to select 8383 older people aged over 60 years old as the research subjects. The two-category Logistic model was used to analyze the research problem; (3) Results: Older adults with depressive tendencies accounted for 34.1% of the total older adults. The incidence of depression among female older adults reached 41.51%. The risk of depression in the elderly population was 40.3% lower in males than in females (OR = 0.597, 95% CI: 0.539−0.662). Self-rated health status, physical disability, and receipt of pensions affected the incidence of depression in older adults (all p < 0.05); (4) Conclusions: Focus on and intervene in the mental status of elderly females and disabled elderly people. Provide mental and economic support and mental health care services to the elderly at the family and social levels. Promote the healthy development of the mental health of the elderly and promote active aging.

Socio-economic correlates of quality of life in single and married urban individuals: a Polish case study

Background

One of key current social trends is the increasing number of single people. It has multiple implications as single individuals often live and behave differently than those living in relationships. Marital status and socioeconomic status may also be significant quality of life factors for single persons. The aim of this study is to identify relationships between quality of life and selected indicators of socioeconomic status in single and married respondents from the Wrocław metropolitan area in Poland.

Methods

4460 respondents took part in the study (1828 single, 2632 married). The study was cross-sectional based on a diagnostic survey. Data was gathered on respondents’ sex, age, education, marital status, occupational status and financial situation as well as their quality of life and perceived health condition. Frequencies (f) and relative frequencies (rf) of categories of dependent and independent variables were determined. The chi-squared test (χ²) and odds ratio (OR) statistics were applied. The level of statistical significance was set at α = .05.

Results

A stochastic dependence (p ≤ .05) between marital status and perceived health condition and quality of life in the social domain was found among the respondents. Male sex, higher education, being an entrepreneur, college student or white-collar worker, and good financial status were associated with the highest assessments of quality of life and perceived health condition. The directions of quality of life modifications determined by socioeconomic status were similar in single and married urban respondents; however, the strength of these modifications was greater in the latter.

Conclusions

It is recommended to target respondents with public health programs aimed at lifestyle improvement, tailored to the needs of single and married individuals. Public policies directed at improving education and material situation of respondents are also worth considering, as they may be essential for modeling their quality of life. In addition, research on quality of life should be continued, which is particularly relevant in a pandemic situation.

Health-Related Quality of Life in Older Adults: Its Association with Health Literacy, Self-Efficacy, Social Support, and Health-Promoting Behavior

This cross-sectional study aimed to explore the relationships among sociodemographics, health literacy, self-efficacy, social support, health-promoting behavior, and health-related quality of life (HRQOL) in older adults. A total of 240 older adults aged >65 years were recruited from three community senior welfare centers in South Korea. Standardized self-administered questionnaires measuring sociodemographic characteristics, health literacy, social support, self-efficacy, health-promoting behavior, and health-related quality of life were distributed to older adults. Multiple regression analyses with stepwise selection was used to determine the factors affecting health-related quality of life. Factors affecting a higher physical component score of HRQOL were a higher comprehension level of and numeracy in health literacy, physical health-promoting behavior, perceived emotional-informational support, and a lesser number of comorbidities. Factors affecting a higher mental component score of HRQOL were a higher comprehension level of and numeracy in health literacy, self-efficacy, physical health-promoting behavior, perceived emotional-informational support, and a lesser number of comorbidities. To improve HRQOL among older adults, nursing interventions are required to measure health literacy, empower physical health-promoting behavior and self-efficacy, and enhance emotional-informational support from family or other resources.