Objectives Given the improvement in the personal and social health level of elderly people, the present study aimed to investigate the relationship of factors like lifestyle and social support with marital satisfaction in elderly people in Iran. Methods & Materials The present study employed a cross-sectional descriptive correlation method. The study population included 381 elderly people aged 60 years and above. They were selected from health care centers using random cluster sampling technique. The subjects were asked to complete the Erich's marital satisfaction questionnaire, lifestyle questionnaire, and social support questionnaire. The data collected was analyzed through descriptive and inferential statistics (Pearson Correlation Coefficient and Stepwise regression) using SPSS 21 software. Results The outcomes of stepwise regression analysis indicated that lifestyle and social support serve as significant predictors of marital satisfaction among the elderly people in Iran (R2=0.46). However, there was no significant difference (P>0.05) between the contribution of lifestyle and social support towards marital satisfaction. Conclusion Our findings suggested that social support and lifestyle are the key elements in maintaining the stability of marital satisfaction in the elderly people.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.