BACKGROUND: The Study on Global Ageing and Adult Health (SAGE) aims to improve empirical understanding of health and well-being of adults in developing countries. We examine the role of self-rated health (SRH) in predicting mortality and assess how socio-demographic and other disability measures influence this association. METHODS: In 2007, a shortened SAGE questionnaire was administered to 5087 adults aged ≥50 years under the Health Demographic Surveillance System in rural Pune district, India. Respondents rated their own health with a single global question on SRH. Disability and well-being were assessed using the WHO Disability Assessment Schedule Index, Health State Score and quality-of-life score. Respondents were followed up every 6 months till June 2011. Any change in spousal support, migration or death during follow-up was updated in the SAGE dataset. RESULTS: In all, 410 respondents (8%) died in the 3-year follow-up period. Mortality risk was higher with bad/very bad SRH [hazard ratio (HR) in men: 3.06, 95% confidence interval (CI): 1.93-4.87; HR in women: 1.64, 95% CI: 0.94-2.86], independent of age, disability and other covariates. Disability measure (WHO Disability Assessment Schedule Index) and absence of spousal support were also associated with increased mortality risk. CONCLUSION: Our findings confirm an association between bad/very bad SRH and mortality for men, independent of age, socio-demographic factors and other disability measures, in a rural Indian population. This association loses significance in women when adjusted for disability. Our study highlights the strength of nesting cross-sectional surveys within the context of the Health Demographic Surveillance System in studying the role of SRH and mortality.
BACKGROUND: The Study on Global Ageing and Adult Health (SAGE) aims to improve empirical understanding of health and well-being of adults in developing countries. We examine the role of self-rated health (SRH) in predicting mortality and assess how socio-demographic and other disability measures influence this association. METHODS: In 2007, a shortened SAGE questionnaire was administered to 5087 adults aged ≥50 years under the Health Demographic Surveillance System in rural Pune district, India. Respondents rated their own health with a single global question on SRH. Disability and well-being were assessed using the WHO Disability Assessment Schedule Index, Health State Score and quality-of-life score. Respondents were followed up every 6 months till June 2011. Any change in spousal support, migration or death during follow-up was updated in the SAGE dataset. RESULTS: In all, 410 respondents (8%) died in the 3-year follow-up period. Mortality risk was higher with bad/very bad SRH [hazard ratio (HR) in men: 3.06, 95% confidence interval (CI): 1.93-4.87; HR in women: 1.64, 95% CI: 0.94-2.86], independent of age, disability and other covariates. Disability measure (WHO Disability Assessment Schedule Index) and absence of spousal support were also associated with increased mortality risk. CONCLUSION: Our findings confirm an association between bad/very bad SRH and mortality for men, independent of age, socio-demographic factors and other disability measures, in a rural Indian population. This association loses significance in women when adjusted for disability. Our study highlights the strength of nesting cross-sectional surveys within the context of the Health Demographic Surveillance System in studying the role of SRH and mortality.
Authors: Hanne Nybo; Hans Chr Petersen; David Gaist; Bernard Jeune; Kjeld Andersen; Matt McGue; James W Vaupel; Kaare Christensen Journal: J Am Geriatr Soc Date: 2003-10 Impact factor: 5.562
Authors: Annabel Q Patterson; Rachel E Culbreth; Rogers Kasirye; Senait Kebede; Jackson Bitarabeho; Monica H Swahn Journal: Glob Public Health Date: 2021-12-09
Authors: Wenhua Wang; Leiyu Shi; Aitian Yin; Zongfu Mao; Elizabeth Maitland; Stephen Nicholas; Xiaoyun Liu Journal: Int J Equity Health Date: 2015-11-30
Authors: F Xavier Gómez-Olivé; Margaret Thorogood; Philippe Bocquier; Paul Mee; Kathleen Kahn; Lisa Berkman; Stephen Tollman Journal: Int J Epidemiol Date: 2014-10 Impact factor: 7.196