Relationship among Physical Activity, Social Capital and Quality of Life in Elderly Participating in Physical Activity

ABSTRACT Background: Health-related quality of life (HRQoL) is a commonly used measure of health outcome. It reflects several dimensions of health, including physical, psychological, social, cognitive function, as well as general well-being, including in elderly population. The association between social capital and HRQoL in elderly has been rarely studied in Indonesia. The purpose of this study was to investigate the biopsychosocial factors influencing the quality of life of elderly using path analysis. Subjects and Method: A cross sectional study was conducted in Surakarta, Central Java, in December 2019. A sample of 200 elderly was selected by simple random sampling. The dependent variable was quality of life. The independent variables were education, income, marital status, body mass index (BMI), physical activity, locus of control, family support, peer support, social capital. The data were collected by questionnaire and analyzed by path analysis run on Stata 13. Results: Quality of life in elderly was directly increased by high physical activity (b= 2.01; 95% CI= 0.55 to 3.45; p= 0.007), education ≥Elementary school (b= 2.38; 95% CI= 0.79 to 3.97; p= 0.003), BMI 18.5 to 25 (b= 3.45; 95% CI= 1.60 to 5.30; p<0.001), income ≥Rp 1,800,000 (b= 2.96; 95% CI= 1.33 to 4.59; p<0.001), strong social capital (b= 2.01; 95% CI= 0.56 to 3.44; p= 0.006), married (b= 2.15; 95% CI= 0.63 to 3.67; p= 0.005), and internal locus of control (b= 2.29; 95% CI= 0.69 to 3.90; p= 0.005). Quality of life in elderly was directly increased by physical activity, education, peer support, social capital, and marital status. Conclusion: Quality of life in elderly is directly increased by high physical activity, education ≥Elementary school, BMI 18.5 to 25, income ≥Rp 1,800,000, strong social capital, married, and internal locus of control. Quality of life in elderly is directly increased by physical activity, education, peer support, social capital, and marital status. Keywords: quality of life, biopsychosocial, path analysis, elderly Correspondence: Dwi Tour Kumalasari. Masters Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java, Indonesia. Email: [email protected]. Mobile: +6281216417536. DOI: https://doi.org/10.26911/the7thicph.01.41

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Social capital associated with quality of life among late adults and elderly population in the Northeast of Thailand

F1000Research ◽

10.12688/f1000research.13954.1 ◽

2018 ◽

Vol 7 ◽

pp. 496

Author(s):

Kitti Prachuntasen ◽

Wongsa Laohasiriwong ◽

Amornrat Luenam

Keyword(s):

Quality Of Life ◽

Physical Activity ◽

Social Capital ◽

Health Services ◽

Mixed Model ◽

Linear Mixed Model ◽

Monthly Income ◽

Cross Sectional ◽

High Level

Background: Previous studies indicated that social capital (SC) has an influence on quality of life (QOL). However, there are limited studies on how SC might associate with QOL among late adults and elderly in Thailand. Methods: This cross-sectional study was conducted among 1,148 participants who were identified by multistage random sampling from 4 provinces in the Northeast of Thailand. A self – administered questionnaire was developed and used to assess cognitive social capital (CSC), structural social capital (SSC), accessibility to health services, and socioeconomic status (SES) and QOL. The Generalized Linear Mixed Model (GLMM) was used to determine the association between SC and QOL when controlling for other covariates. Results: Only 41.03% (95%CI: 38.17 to 43.94) of the participants had good QOL. About half (50.26%) had high level of CSC, whereas only 36.15% had high level of SSC. The multivariate analysis indicated that having high levels of CSC and SSC was associated with good QOL. Other factors that were associated with having good QOL were aged <60 years old, monthly income ≥15,000 baht, adequate income, adequate physical activity, lived in the municipality, and had high level of accessibility to health services. Conclusion: Less than half of late adults and elderly had good QOL and high level of SSC. About half had high level of CSC. Both CSC and SSC had influence on QOL as well as gender, age, monthly income, financial status, physical activity, residential area, and accessibility to health services.

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