Association between social capital and physical activity among community-dwelling elderly in Wuhan, China

Social capital (SC) affects quality of life, sport behaviours and health in individual and community context. The aim was to analyse how sports activity (SA) contributes to SC accumulation in a post-transformation country. A combination of four longitudinal, nationwide datasets was used. Instrumental variable method was applied. Results show that in 19+ Poles, on a regional level, SA improves SC. This suggest that sports clubs and at least some types of sports infrastructure can constitute a valid tool for social policies aiming at improving social involvement. The self-triggering character of SA is a valuable asset for social impact regionally and beyond. It is important to estimate the changes in a long-term perspective, due to the inertness of the SC.

Section: Discussionsupporting

confidence: 91%

Do Sports Clubs Contribute to the Accumulation of Regional Social Capital?

Biernat

Nałęcz²,

Skrok

et al. 2020

“…This study found that, for the whole sample, only a lower BOC was related to a higher level of loneliness among Chinese widowed older people. BOC is a description of the size of the social network and the trust and help obtained from neighbors and friends [38]. It is understandable that Chinese people highly value relationships, which are also called "guanxi" in China.…”

Section: Discussionmentioning

confidence: 99%

“…In our study, personal social capital was evaluated by the Chinese version of the Personal Social Capital Scale (PSCS-16). The PSCS-16 has been proved to be reliable and valid in China [38,39]; it consists of 16 items and aims to measure the two key types of social capital, namely bonding social capital (BOC) and bridging social capital (BRC). There are four components used to assess BOC, namely network size, trustworthiness, resource ownership and reciprocity.…”

Section: Assessment Of Personal Social Capitalmentioning

confidence: 99%

Association between Personal Social Capital and Loneliness among Widowed Older People

Jiang

Hou

Hao

et al. 2020

Self Cite

To explore the association between the personal social capital and loneliness among the widowed older adults in China. Data from 1497 widowed older adults were extracted from China’s Health-Related Quality of Life Survey for Older Adults 2018. The Chinese version of the Personal Social Capital Scale (PSCS-16) was used to evaluate the participants’ status of bonding and bridging social capital (BOC and BRC). Loneliness was assessed by the short-form UCLA Loneliness Scale (ULS-8). Multiple linear regression models were established to examine the relationship between social capital and loneliness. The BOC and BRC of rural widowed older people were significantly lower than those of widowed older people in urban areas, while loneliness of rural widowed older people was higher than that of widowed older people in urban areas. The result of the final model showed that loneliness of rural participants was significantly associated with both BOC (B = 0.141, p = 0.001) and BRC (B = −0.116, p = 0.003). The loneliness of the urban widowed sample had no association with both BOC and BRC (p > 0.05). These findings suggested that more social support and compassionate care should be provided to enrich the personal social capital and thus to reduce loneliness of widowed older adults, especially those in rural areas.

“…Structural social capital (bonding, bridging, and linking) has a significant role in preventing depression [39]. In general, access to social capital could increase access to health information which in turn helps in sustaining positive health behaviours [40,41,42].…”

Section: Discussionmentioning

confidence: 99%

Diversity in the Factors Associated with ADL-Related Disability among Older People in Six Middle-Income Countries: A Cross-Country Comparison

Lestari

Kowal

et al. 2019

The low- and middle-income countries (LMICs) are experiencing rapid population ageing, yet knowledge about disability among older populations in these countries is scarce. This study aims to identify the prevalence and factors associated with disability among people aged 50 years and over in six LMICs. Cross-sectional data from the World Health Organization (WHO) Study on global AGEing and adult health Wave 1 (2007–2010) in China, Ghana, India, Mexico, the Russian Federation, and South Africa was used. Multivariable logistic regression analyses were undertaken to examine the association between sociodemographic factors, health behaviours, chronic conditions, and activities of daily living (ADL) disability. The prevalence of disability among older adults ranged from 16.2% in China to 55.7% in India. Older age, multimorbidity, and depression were the most common factors related to disability in all six countries. Gender was significant in China (OR = 1.14, 95% CI: 1.01–1.29), Ghana (OR = 1.22, 95% CI: 1.01–1.48) and India (OR = 1.65, 95% CI: 1.37–1.99). Having no access to social capital was significantly associated with ADL disability in China (OR = 2.57, 95% CI: 1.54–4.31) and South Africa (OR = 4.11, 95% CI: 1.79–9.43). Prevalence data is valuable in these six ageing countries, with important evidence on mitigating factors for each. Identifying determinants associated with ADL disability among older people in LMICs can inform how to best implement health prevention programmes considering different country-specific factors.