Retirement Resources as a Predictor of Quality of Life: A Cross-Sectional Study

Document Type : Original Article

Authors

1 Student research committee, Department of Health Education and Promotion, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran

2 Research Center for Health Sciences, Institute of Health, Department of Health Promotion, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran

3 Department of Epidemiology and Biostatistics, School of Public Health, Isfahan University of Medical Sciences, Isfahan, Iran

4 Research Center for Psychiatry and Behavioral Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.

Abstract
Introduction: Retirement is a fundamental transition in the life cycle that can affect various dimensions of quality of life. Retirement resources—physical-financial, social, and mental assets—determine an individual’s capacity to adapt to new conditions. This study aimed to investigate the relationship between retirement resources and retirees' quality of life.Methods: This cross-sectional study was conducted on retired people from the education sector and the oil industry. Data were collected using the World Health Organization Quality of Life Questionnaire, Elderly Version (WHOQOL-Old) and the Retirement Resources Inventory. Sampling was carried out using a systematic random method. Data were analyzed using independent t-tests, analysis of variance, Pearson’s correlation coefficient, and multivariate linear regression.Results: The mean (±SD) quality of life score was 88.78±12.00, and the mean score of retirement resources was 122.97±12.71. The quality of life of oil industry retirees was significantly higher than that of education sector retirees (p=0.032). Men reported a higher quality of life than women (p=0.024). Quality of life also differed significantly according to marital status (p=0.006). A positive and significant correlation was found between quality of life and total retirement resources (r=0.554, p<0.001), physical-financial resources (r=0.416, p<0.001), social resources (r=0.355, p<0.001), and mental resources (r=0.529, p<0.001). Multivariate regression analysis showed that retirement resources significantly explained the variance in quality of life (F=27.77, R²=0.324, p<0.001). Among them, mental resources (β=0.403, p<0.001) and physical-financial resources (β=0.214, p=0.003) were significant predictors of quality of life.Conclusion: The findings suggest designing interventions to enhance quality of life and retirement resources through appropriate strategies, such as empowering retirees in the areas of resilience, meaning in life, and approaches to improve physical and economic well-being.

Keywords