» Articles » PMID: 27310979

Social Support and the Self-rated Health of Older People: A Comparative Study in Tainan Taiwan and Fuzhou Fujian Province

Overview
Specialty General Medicine
Date 2016 Jun 17
PMID 27310979
Citations 32
Authors
Affiliations
Soon will be listed here.
Abstract

The lack of social support in elderly populations incurs real societal costs and can lead to their poor health. The aim of this study is to investigate the self-rated health (SRH) and social support among older people as well as its associated factors.We conducted a cross-sectional study among 312 urban community-dwelling elderly aged 65 to 90 years in Tainan Taiwan and Fuzhou Fujian Province from March 2012 to October 2012. A Spearson correlation test, independent t test, a Pearson χ test, a linear regression analysis, and a multiple-level model were performed to analyze the results.The participants identified children as the most important source of objective and subjective support, followed by spouse and relatives. Tainan's elderly received more daily life assistance and emotional support, showed stronger awareness of the need to seek help, and maintained a higher frequency of social interactions compared with the elderly in Fuzhou. The mean objective support, subjective support, and support utilization scores as well as the overall social support among Tainan's elderly were significantly high compared with the scores among Fuzhou's elderly. Further, Tainan's elderly rated better SRH than Fuzhou's elderly. Correlation analysis showed that social support was significantly correlated with city, age, living conditions, marital status, and SRH. Multiple linear regression analysis, with social support as a dependent variable, retained the following independent predictors in the final regression model: city (4.792, 95% confidence interval [CI]: 3.068-6.516, P = 0.000), age (-0.805, 95% CI: -1.394 to -0.135, P = 0.013), marital status (-1.260, 95% CI: -1.891 to -0.629, P = 0.000), living conditions (4.069, 95% CI: 3.022-5.116, P = 0.000), and SRH -1.941, 95% CI: -3.194 to -0.688, P = 0.003). The multiple-level model showed that city would impact older people's social support (χ = 5.103, P < 0.001). Marital status (-2.133, 95% CI: -2.768 to -1.499, P = 0.000), education (1.697, 95% CI: 0.589-2.805 P = 0.003), living conditions (4.20, 95% CI: 1.762-6.638, P = 0.000), and SRH (-3.144, 95% CI: -4.502 to -1.727, P = 0.000) were the associated factors. Thus, city, age, marital status, education, living conditions, and SRH might be the associated factors for social support among older people.This study presents some feasible implications for social support improvement in China and in other nations worldwide.

Citing Articles

The relationship between smartphone addiction and sleep quality in older adults: the mediating role of loneliness and depression.

Lai H, Mei X, Huang S, Wu X, Liang J, Zhou L BMC Nurs. 2025; 24(1):253.

PMID: 40050901 PMC: 11884112. DOI: 10.1186/s12912-025-02883-7.


Care dependency in older stroke patients with comorbidities: a latent profile analysis.

Lin Q, Dong X, Huang T, Zhou H Front Aging Neurosci. 2024; 16:1366380.

PMID: 38863785 PMC: 11165196. DOI: 10.3389/fnagi.2024.1366380.


A study on the factors influencing the vulnerability of women of childbearing age to health poverty in rural western China.

Ma X, Hu Q, He J, Li C, Song M, Wang Y Sci Rep. 2024; 14(1):13219.

PMID: 38851773 PMC: 11162415. DOI: 10.1038/s41598-024-64070-z.


Developmental trajectory of care dependency in older stroke patients.

Lin Q, Dong X, Huang T, Zhou H Front Neurol. 2024; 15:1374477.

PMID: 38836003 PMC: 11148867. DOI: 10.3389/fneur.2024.1374477.


Social Support, Social Participation, and Life Accomplishment of Older Adult Residents of Assisted Living Facilities and Their Adjoining Communities.

Akosile C, Onyekwuluje C, Mgbeojedo U, Okoye E, Fabunmi A, Mong E Gerontol Geriatr Med. 2023; 9:23337214231218797.

PMID: 38146455 PMC: 10749526. DOI: 10.1177/23337214231218797.


References
1.
Kumar S, Calvo R, Avendano M, Sivaramakrishnan K, Berkman L . Social support, volunteering and health around the world: cross-national evidence from 139 countries. Soc Sci Med. 2012; 74(5):696-706. DOI: 10.1016/j.socscimed.2011.11.017. View

2.
Reeves A, Mckee M, Stuckler D . The attack on universal health coverage in Europe: recession, austerity and unmet needs. Eur J Public Health. 2015; 25(3):364-5. PMC: 4440451. DOI: 10.1093/eurpub/ckv040. View

3.
Meng T, Chen H . A multilevel analysis of social capital and self-rated health: evidence from China. Health Place. 2014; 27:38-44. DOI: 10.1016/j.healthplace.2014.01.009. View

4.
Wilkinson R . Socioeconomic determinants of health. Health inequalities: relative or absolute material standards?. BMJ. 1997; 314(7080):591-5. PMC: 2126067. DOI: 10.1136/bmj.314.7080.591. View

5.
Soler-Vila H, Garcia-Esquinas E, Leon-Munoz L, Lopez-Garcia E, Banegas J, Rodriguez-Artalejo F . Contribution of health behaviours and clinical factors to socioeconomic differences in frailty among older adults. J Epidemiol Community Health. 2015; 70(4):354-60. DOI: 10.1136/jech-2015-206406. View