Psychosocial Factors as Predictors of Life Satisfaction of Elderly People

Abstract

The present Study was conducted to explore the effects of gender, residence, nature of comorbidity and status of spouse on life satisfaction of the respondents. Purposive sampling technique was followed to select 382 elderly people (210 elderly males and 172 elderly females) from Rajshahi and Joypurhat district. Bangla developed version of Satisfaction with life scale (Ilyas, 2001) were administered to measure life satisfaction of the respondents. Four hypotheses were proposed based on previous research. Obtained data were analysed by employing independent sample t-test and regression analysis with the help of IBM SPSS- 28 version. The results of the current study revealed that there is a significant effect of residence, gender, status of spouse and nature of comorbidity on life satisfaction of the participants. The strongest probable socioeconomic factors of life satisfaction in the elderly were identified using regression analysis. Results through regression revealed that the status of spouse is the best predictor for life satisfaction (25.3%, ρ < 0.05) of the participants.