Predictors of Active Aging Among Community-Dwelling Older Adults in Qazvin City, Iran, ۲۰۲۳

Objective: This study aims to determine the predictive factors of active aging among older people in Qazvin City, Iran. Methods: This study, conducted in ۲۰۲۳, included individuals aged > ۶۰ years in Qazvin City. Participants were selected using cluster sampling in three zones of Qazvin City. Older adults were selected from mosques and parks in each zone. Data were collected using a demographic information checklist, an Iranian active aging questionnaire, a multidimensional scale of perceived social support  (MSPSS), and the World Health Organization disability assessment schedule (WHODAS ۲.۰). A multiple linear regression was performed using R software to detect predictors of active aging. Results: The average age of the patients was ۶۶.۷۸ ± ۶.۲۲ years. A total of ۱۷۸ patients (۶۱.۶%) were men  and ۲۰۷ (۷۱.۶%) were married. The average score for active aging was ۱۰۹.۱۸ ± ۲۴.۱۵, indicating a moderate level. Multiple regression analysis showed that sex, marital status, educational level, economic situation, job, perceived health, disability, and perceived social support were significant predictors of active aging. Conclusion: Based on our results, active aging among older adults was moderate. We suggest that health policymakers pay more attention to older individuals with low literacy, low income, disabilities, and health problems when planning active aging programs. Additionally, increasing intergenerational support is vital to encourage social participation among older adults.

کلیدواژه ها:

Aged ، Active ، Social support ، Disability ، Perceived health