988368
چهارشنبه 7 آذر 1403
چکیده: (252 مشاهده)
Objectives
This study determined the predictive factors of active aging among older adults in Qazvin, Iran.
Methods
This cross-sectional study was undertaken in 2023 on individuals aged 60 and above in Qazvin, Iran. We selected participants using the cluster sampling method in three zones within Qazvin City. Older adults were selected from mosques and parks in each zone. Data were gathered through a demographic information checklist, the Iranian Active Aging Questionnaire, the Multidimensional Perceived Social Support Scale, and the World Health Organization Disability Assessment Schedule. The multiple linear regression was run by R software to detect predictors of active aging.
Results
The mean age of the patients was 66.78± 6.22 years old. Most were male (n=178, 61.6%) and married (n=207, 71.6%). The average score for active aging was 109.18±24.15, indicating a moderate level. The multiple regression analysis showed that gender, marital status, education level, economic situation, job, perceived health, disability, and perceived social support were significant predictors of active aging.
Conclusions
Based on our results, active aging among older adults was at a moderate level. We suggest that health policymakers pay more attention to older individuals with low literacy, low income, disabilities, and health problems in planning for active aging programs. Additionally, increasing intergenerational support is vital in encouraging social participation among older adults.
Keywords: Aged, active, social support, disability, perceived health.
This study determined the predictive factors of active aging among older adults in Qazvin, Iran.
Methods
This cross-sectional study was undertaken in 2023 on individuals aged 60 and above in Qazvin, Iran. We selected participants using the cluster sampling method in three zones within Qazvin City. Older adults were selected from mosques and parks in each zone. Data were gathered through a demographic information checklist, the Iranian Active Aging Questionnaire, the Multidimensional Perceived Social Support Scale, and the World Health Organization Disability Assessment Schedule. The multiple linear regression was run by R software to detect predictors of active aging.
Results
The mean age of the patients was 66.78± 6.22 years old. Most were male (n=178, 61.6%) and married (n=207, 71.6%). The average score for active aging was 109.18±24.15, indicating a moderate level. The multiple regression analysis showed that gender, marital status, education level, economic situation, job, perceived health, disability, and perceived social support were significant predictors of active aging.
Conclusions
Based on our results, active aging among older adults was at a moderate level. We suggest that health policymakers pay more attention to older individuals with low literacy, low income, disabilities, and health problems in planning for active aging programs. Additionally, increasing intergenerational support is vital in encouraging social participation among older adults.
Keywords: Aged, active, social support, disability, perceived health.
