Volume 27, Issue 6 (1-2025)
J Arak Uni Med Sci 2025, 27(6): 337-343 |
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Amirzadeh-Iranagh J, Ghorbanzadeh S, Dadashzadeh-Sangary Y, Javanmard P. Relative Contribution to Predicting Components of Marital Satisfaction of Older Adults in Urmia City and Its Correlation with Lifestyle in the COVID-19 Pandemic: A Cross-Sectional Study. J Arak Uni Med Sci 2025; 27 (6) :337-343
URL: http://jams.arakmu.ac.ir/article-1-7790-en.html
URL: http://jams.arakmu.ac.ir/article-1-7790-en.html
1- Urmia University of Medical Sciences
2- Tehran university ,Yeganeh.d.s@gmail.com
3- Tehran university
2- Tehran university ,
3- Tehran university
Abstract: (623 Views)
Introduction: The growing increase in the elderly population requires more research to identify the health priorities of this group, especially in critical situations such as the COVID-19 pandemic. Therefore, the current study was conducted to determine the influential components of marital satisfaction and its relationship with lifestyle in Urmia City in 2021.
Methods: In this descriptive-analytical and cross-sectional correlational study, 220 married elderly living in Urmia were selected through cluster sampling. The Miler's life satisfaction and Haynes's marital satisfaction questionnaires were used in addition to the demographic questionnaire to collect data in this research. Data were analyzed using descriptive statistical tests (mean and standard deviation, frequency, and percentage) and analytical (Pearson correlation coefficients and multiple linear regression) at a significant level of P ≤ 0.05.
Results: A step-by-step multiple linear regression model also revealed that variables of lifestyle (ß = -0.364), age (ß = 0.425), number of children (ß = 0.143), occupation (ß = 0.425) and illness (ß = 3.608) - had the most considerable contribution in the sensitive prediction of marital satisfaction. The regression model excluded other demographic variables.
Conclusions: This study showed that lifestyle and demographic variables such as age, number of children, occupation, and illness have the greatest contribution in predicting marital satisfaction. Therefore, it seems necessary to design counseling services in comprehensive health centers for this group so that counselors can teach healthy lifestyles to older adults to improve marital relationships.
Methods: In this descriptive-analytical and cross-sectional correlational study, 220 married elderly living in Urmia were selected through cluster sampling. The Miler's life satisfaction and Haynes's marital satisfaction questionnaires were used in addition to the demographic questionnaire to collect data in this research. Data were analyzed using descriptive statistical tests (mean and standard deviation, frequency, and percentage) and analytical (Pearson correlation coefficients and multiple linear regression) at a significant level of P ≤ 0.05.
Results: A step-by-step multiple linear regression model also revealed that variables of lifestyle (ß = -0.364), age (ß = 0.425), number of children (ß = 0.143), occupation (ß = 0.425) and illness (ß = 3.608) - had the most considerable contribution in the sensitive prediction of marital satisfaction. The regression model excluded other demographic variables.
Conclusions: This study showed that lifestyle and demographic variables such as age, number of children, occupation, and illness have the greatest contribution in predicting marital satisfaction. Therefore, it seems necessary to design counseling services in comprehensive health centers for this group so that counselors can teach healthy lifestyles to older adults to improve marital relationships.
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