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Socio-Demographic Correlates Explaining the Longevity of Graying Population in a Traditional Society

Growing interest in the field population ageing lead to the study of factors related to the increase in survival of elderly population. Aging is a continuing process which involves genetic, socio-demographic, economic and environmental covariates. The planning of future elderly healthcare strongly depends on these factors. Among the various factors responsible for the human longevity, a few sociodemographic factors namely sex, place of residence, education, personal income, health rate, marital status, occupation status, caste, and leisure time activity have been identified. By applying hazard model, an attempt has been made to estimate the relative risk of survivability. This study uses the data collected in a survey conducted in 1998 to study the socio-demographic profiles of elderly population in Assam. Applying the hazard regression model, we found the evidence that covariate sex, personal income, marital status, and occupation are highly significant. Covariate like place of residence, education and caste are not found significant and when these covariate are excluded all covariate except place of residence are found significant. Among them females, elderly having personal income, married elderly, re-employed or still active elderly are found to be highly significant for living