ISSN: 2222-6990
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This study mainly aims to calculate the socioeconomic determinants that predict older respondents. A total of n=310 respondent reported, and three Hos tested through Binary Logistic Regression Model 1-3, respectively. All Hos were rejected because all models fit and significant (p<0.05). Through Ho1 testing among older respondents involved in Civil Society Organisation (CSO), three predictor obtained – marital status, academic background and working status. Married status, secondary school and not-working status predicts less than 65.4 percent, 7.811-times and 3.275-time likelihood of older respondents involved in CSO (Model 1). The Ho2 tested among of older respondents in freshwater fisheries communities, two predictor obtained – marital status and academic background. Married status and secondary school predicts less than 72.4 percent and 8.276- time likelihood of older respondents in freshwater fisheries communities respectively (Model 2). The Ho3 test among of older respondents in brackishwater fisheries communities, two predictor obtained – academic background and working status. Secondary school and not working status predicts a 9.925-time and 5.566-times likelihood of older respondents in brackishwater fisheries communities respectively (Model 3). This study assumes that older respondents are active as they age. Hence, it is important to identify the socioeconomic backgrounds of active older women living in rural areas to develop effective programs and policies on active ageing.
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