Social and Economic Factors Related to the Health Dimension of Successful Aging among Urban Dwelling Elderly in the Bangkok Metropolitan Area


  • Sarunya Wongkampun Nursing Science (Community Nurse Practitioner), Faculty of Public Health, Mahidol University
  • Weena Thiangtham Department of Public Health Nursing, Faculty of Public Health, Mahidol University
  • Plernpit Suwan-ampai Department of Public Health Nursing, Faculty of Public Health, Mahidol University


Successful Aging, PRECEDE-PROCEED, Social and economic, Urban-dwelling elderly


Thailand faces aged society since 2005. Successful aging has long been a goal in the field of gerontology for the elderly maintaining autonomy and independence as one grows older. This cross-sectional survey aimed to study the factors affecting the health dimensions of successful aging(Health-SA) among an urban dwelling elderly population in Bangkok using the PRECEDE Model.335 elders aged 60 years and older were randomly selected using multi-stage sampling. A structured interview questionnaire was applied to gather information. Data was analyzed using logistic regression analysis. The results of the study revealed that the prevalence of Health-SA among elderly in Bangkok was 17.3%. The Health-SA of females exceeded that of males (19.1% and 13.1%, respectively). Factors that were associated with Health-SA included predisposing factors: education(OR = 3.45, 95% CI = 1.62-7.34), income (OR = 3.03, 95% CI = 1.53-5.97), self-esteem (OR = 2.13, 95% CI = 1.16-3.94), perception of social environment (OR = 0.44, 95% CI = 0.25-0.79) and information technology skills (OR = 2.71, 95% CI = 1.45-5.09); enabling factors: empowering and vocational training/selling own product (OR = 2.47, 95% CI = 1.19-5.11), General public infrastructure is sloped path and handrail for the elderly (OR = 2.23, 95% CI = 1.13-4.41) and travel by private car(OR = 1.89, 95% CI = 1.05-3.40); and reinforcing factors: social support from social networks (OR = 2.32, 95% CI = 1.10-4.90). Stepwise multiple logistic regression analysis found 4 factors that could significantly predict predicting Health-SA (p-value < 0.05); which were information technology skills, sloped path and handrail for the elderly, self-esteem, and perception of social environment. Governmental agencies relatedto promoting health and well-being of the elderly should provide environmental management for the elderly and psychological promotion of self-esteem. Information technology skills are important since social media influences even the elderly these days.


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How to Cite

Wongkampun, S., Thiangtham, W., & Suwan-ampai, P. (2017). Social and Economic Factors Related to the Health Dimension of Successful Aging among Urban Dwelling Elderly in the Bangkok Metropolitan Area. Journal of Public Health Nursing, 31(3), 55–72. Retrieved from



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