نوع مقاله : پژوهشی اصیل
نویسندگان
1 گروه پرستاری، دانشکده علوم رفتاری و سلامت روان، دانشگاه علوم توانبخشی و سلامت اجتماعی، تهران، ایران.
2 استاد تمام ،مرکز تحقیقات سالمندی ،گروه آموزشی پرستاری ، دانشگاه علوم توانبخشی و سلامت اجتماعی،تهران،ایران.
3 گروه پرستاری، دانشگاه علوم توانبخشی و سلامت اجتماعی، تهران، ایران
4 دانشیار اپیدمیولوزی.مرکز تحقیقات عوامل اجتماعی موثر بر سلامت، دانشگاه علوم توانبخشی و سلامت اجتماعی , تهران,ایران
چکیده
کلیدواژهها
موضوعات
Introduction
In recent decades, advances in medical care, public health, and living conditions have substantially increased life expectancy, contributing to the rapid growth of the older adult population worldwide. As a result, gerontological research has increasingly shifted from merely extending lifespan to promoting healthy aging and improving quality of life (QoL). Among the psychological determinants of well-being in later life, perceptions of aging—defined as individuals’ beliefs, interpretations, and emotional responses toward the aging process—have received growing attention. Evidence suggests that more positive perceptions of aging are associated with greater psychological resilience, better health-related behaviors, and higher life satisfaction, whereas more negative perceptions are linked to depressive symptoms, anxiety, and reduced social participation.
Perceptions of aging do not develop in isolation; rather, they are shaped by environmental, social, and cultural contexts. Living environment may play a particularly important role, as urban older adults typically have greater access to healthcare services, recreational facilities, and educational opportunities, while rural older adults may benefit from stronger social cohesion and community support but encounter barriers related to limited infrastructure and fewer formal resources. Clarifying how these contextual differences relate to perceptions of aging and QoL can inform the design of context-sensitive policies and interventions aimed at reducing disparities and promoting well-being in later life.
Accordingly, the present study aimed to (1) compare the mean levels of perceptions of aging and QoL and (2) examine and compare the association between perceptions of aging and QoL among urban and rural older adults in Khoy County, Iran, in 2024.
Methods
This cross-sectional, descriptive-correlational study was conducted on 199 elderly individuals aged 60 years and older who attended urban and rural comprehensive health centers in Khoy County. A multistage systematic sampling method was used. First, two urban and two rural comprehensive health centers were selected, and then eligible older adults were systematically selected from the electronic health records of the selected centers. Inclusion criteria included being 60 years or older, willingness to participate, and the absence of diagnosed cognitive or psychiatric disorders. Data were collected using four validated instruments: a demographic questionnaire, the Abbreviated Mental Test (AMT) to screen cognitive status, the Aging Perceptions Questionnaire (APQ) to assess beliefs and attitudes toward aging, and the Older People’s Quality of Life Questionnaire (OPQOL-35) to evaluate multidimensional aspects of QoL including physical health, psychological well-being, social relationships, environment, and cultural-religious domains.
Data were analyzed using SPSS version 23. Descriptive statistics (mean, standard deviation) and inferential tests such as independent t-test, Mann–Whitney U test, chi-square, and Spearman correlation were employed. Statistical significance was set at p < 0.05.
Results
The study included 102 men (51.3%) and 97 women (48.7%) with a mean age of 71.12 ± 7.99 years. Urban elderly showed a significantly higher mean score in perception of aging (118.2 ± 22.82) than rural elderly (110.43 ± 20.18), indicating a more positive outlook toward the aging process among urban participants. Similarly, the total quality of life score was significantly greater in the urban group (117.59 ± 14.51) compared to the rural group (109.82 ± 13.84). Among the QoL subdomains, all dimensions except “culture and religion” demonstrated significantly higher scores among urban elderly.
Furthermore, a positive and statistically significant correlation was found between perception of aging and quality of life in both groups—stronger in urban (r = 0.413, p < 0.001) than in rural elderly (r = 0.268, p < 0.001). These findings suggest that individuals with a more positive view of aging also report higher satisfaction and well-being in different aspects of life. Differences between the two groups can be attributed to environmental conditions, access to social and healthcare resources, and economic stability.
Conclusion
This study highlights the crucial role of the perception of aging as a psychological determinant of quality of life in later life. The results demonstrate that urban elderly generally experience better QoL and a more positive perception of aging compared to their rural counterparts. Since attitude toward aging can be modified through education and supportive interventions, programs aimed at promoting a positive self-perception of aging may contribute to improved health outcomes and life satisfaction among older adults.
Health policymakers and geriatric care providers are recommended to design targeted interventions that strengthen elderly individuals’ self-concept and perception of aging, especially in rural areas where limited access to services may compromise overall well-being. Emphasizing the development of educational, social, and community-based initiatives can foster active, healthy aging and reduce urban–rural disparities in the quality of life among older adults.
Footnotes
Ethical approval
This study was approved by the Ethics Committee of the University of Social Welfare and Rehabilitation Sciences, Tehran, Iran (Ethics Code: IR.USWR.REC.1403.216). Written informed consent was obtained from all participants, and confidentiality of data was strictly maintained.
Funding
This research received no financial support from any governmental, academic, or private organization.
Authors’ contribution
M.A: Conceptualization, study design, data collection, analysis, and manuscript drafting.
F.M.S: Supervision, project guidance, and critical revision of the manuscript.
M.D.M: Consulting on theoretical framework and interpretation of findings.
M.N: Statistical consultation and data analysis.
All authors reviewed and approved the final version of the manuscript.
Conflict of interest
The authors declare no conflict of interest related to this study.