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Original Study
| Published: October 27, 2023
Psychosocial Factors as Predictors of Life Satisfaction of Elderly People
M.S. Student, Department of Clinical Psychology, University of Rajshahi, Rajshahi-6205, Bangladesh. Google Scholar More about the auther
Associate Professor, Department of Psychology, University of Rajshahi, Rajshahi-6205, Bangladesh. Google Scholar More about the auther
DIP: 18.01.069.20231104
DOI: 10.25215/1104.069
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.
Keywords
Life Satisfaction, Gender, Residence, Comorbidity, Spouse and elderly people
This is an Open Access Research distributed under the terms of the Creative Commons Attribution License (www.creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any Medium, provided the original work is properly cited.
© 2023, Mondal, A.H. & Siddique, N.E.A.
Received: October 12, 2023; Revision Received: October 24, 2023; Accepted: October 27, 2023
Article Overview
ISSN 2348-5396
ISSN 2349-3429
18.01.069.20231104
10.25215/1104.069
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Published in Volume 11, Issue 4, October-December, 2023