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open-access-imgOpen AccessPredict of marital satisfaction based on resilience and mental health among elderly
Author(s)
Fatemeh Sadat Izadi-Avanji,
Ali Hajibagheri,
Esmaeel Azizi Fini
Publication year2019
Publication title
majallah-i dānishgāh-i 'ulūm-i pizishkī-i shahīd ṣadūqī yazd/majallah-i dānishgāh-i 'ulūm-i pizishkī va khadamāt-i bihdāshtī-darmānī shahīd ṣadūqī yazd
Resource typeJournals
PublisherShahid Sadoughi University of Medical Sciences
Introduction: Marital satisfaction is one of the indicators of health and well-being in all age groups, although determinants of satisfaction among older couples are unclear. The aim of this study was to predict marital satisfaction based on resilience and mental health in the elderly population in Kashan. Methods: This descriptive-correlational study was carried out on 400 elderly covered by Kashan health centers in 2015. Sampling was done by multistage cluster sampling. The data were collected using marital satisfaction Enrique's Persian Questionnaire, Connor Davidson Resilience Questionnaire, and General Health Questionnaire. Data were analyzed using descriptive statistic and linear regression with stepwise method in SPSS Inc, Chicago, IL, and version 16. Results: The results showed that the resilience (β = 0.80, p <0.001) and mental health (β = -0.14, p <0.001) were predictors of marital satisfaction. These variables explained 78% of variance in marital satisfaction in the elderly (P<0.001). Conclusion: The study showed that resilience and mental health have closed relationship with marital satisfaction in the elderly. Therefore, it should help to improve the marital satisfaction and having a successful aging in the elderly by conducting educational interventions to increase resilience and promote mental health.
Subject(s)clinical psychology , cluster sampling , descriptive statistics , environmental health , gerontology , marital status , mathematics , medicine , mental health , population , psychiatry , psychological intervention , psychological resilience , psychology , social psychology , statistics
Language(s)English
eISSN2228-5741
pISSN2228-5733
DOI10.18502/ssu.v27i3.1189

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