Measurement and Predictors of Resilience Among Community-Dwelling Elderly in Kashan, Iran: A Cross-Sectional Study


1 1Trauma Nursing Research Center, Kashan University of Medical Sciences, Kashan, IR Iran

2 2School of Nursing and Midwifery, Kashan University of Medical Sciences, Kashan, IR Iran

3 3Department of Biostatistics and Public Health, Faculty of Health, Kashan University of Medical Sciences, Kashan, IR Iran


Background As the ability to cope with challenging conditions, resilience results in personal growth and development after experiencing tragic conditions. There are limited studies regarding resilience and its associated factors in elderly patients in Iran. Given that the cultural, social, religious characteristics might affect the level of resilience, we conducted the present study among an elderly population in Kashan. Objectives This study aimed to evaluate the resilience and its associated factors among elderly in Kashan City, Iran. Methods A cross-sectional study was conducted on 500 individuals who were selected through a two-stage randomized cluster sampling methods among elderly residents of 8 urban health care facilities in Kashan, Iran. Data collection was performed using a five-part instrument including a demographics questionnaire and abbreviated mental test scale, the Connor-Davidson resilience scale, Rosenberg self-esteem scale, and general health questionnaire28. Data were analyzed using descriptive statistics, chi-square test, t-test, analysis of variance and multivariate regression analysis. Results A significant direct association was found between resilience and the self-esteem scores (r = 0.461, P < 0.001). Conversely, an indirect correlation was found between resilience and mental health scores (r = - 0.510, P < 0.001). Regression analysis showed that self-esteem and mental health could explain 32% of the variance of resilience in older adults. Significant relationships were found between resilience and variables such as age, sex, marital status, income, job, education, and life arrangement (P < 0.05). Conclusions Several factors including personal characteristics, self-esteem and mental health of the elderly can affect their resilience. Choosing some strategies to modify and improve some of the influencing variables may be effective in increasing the resilience in older adults.