<![CDATA[Background: Along with the increasing number of the elderly, there are many problems experienced by the elderly including not educated, do not get access to health, do not have old age insurance, and do not have social support from family or friends to care for them. Elderly people had high vulnerable risk to experience various psychological and physical problems. This study aimed to analyze the influence of biopsychosocial and contextual village social capital in the elderly.Subjects and Method: This was a cross sectional study conducted in Surakarta, Central Java, in December 2019. A sample of 200 elderly was selected by simple random sampling at the individual level and stratified simple random sampling at the village level. The dependent variable was quality of life. The independent variables were education, income, marital status, BMI, physical activity, locus of control, family support, social support, and social capital. The data was collected by questionnaire. The data were analyzed by a multiple logistic regression run on Stata 13Results: Quality of life improved by education ≥elementary school (b= 2.72; 95% CI= 0.17 to 5.26; p= 0.036), income ≥Rp 1,800,000 (b= 2.90; 95% CI= 0.71 to 5.10; p= 0.010), married (b= 2.37; 95% CI= 0.13 to 4.62; p= 0.038), BMI (b= 4.01; 95% CI= 1.50 to 6.53; p= 0.002), good physical activity (b= 2.26; 95 % CI= 0.33 to 4.20; p= 0.022), internal locus of control (b= 2.69; 95% CI= 0.41 to 4.98; p= 0.021), strong family support (b= 2.88; 95% CI= 0.48 to 5.28; p= 0.018), strong social support (b= 2.28; 95% CI= 0.02 to 4.55; p= 0.048), and good social capital (b= 2.30; 95% CI= 0.11 to 4.51; p= 0.040). Village had a contextual effect on the quality of life of elderly with intra-class correlation (ICC)= 40.52%.Conclusion: Quality of life improves by education ≥elementary school, high income, married, BMI, good physical activity, internal locus of control, strong family support, strong social support, and good social capital. Village has a contextual effect on the quality of life of elderly.Keywords: quality of life, biopsychosocial, elderly, multilevel analysisCorrespondence: Dwi Tour Kumalasari. Masters Program in Public Health, Universitas Sebelas Maret, Jl. Ir. Sutami 36A, Surakarta 57126, Central Java. Email: kumalasari.azzahra@gmail.com. Mobile: +6281216417536.Journal of Epidemiology and Public Health 5(1): 31-44https://doi.org/10.26911/jepublichealth.2020.05.01.04]]>
