Volume 13, Issue 4 (Autumn-In Press 2025)                   Iran J Health Sci 2025, 13(4): 6-6 | Back to browse issues page

Ethics code: IR.ZAUMS.REC.1403.150


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Khosravi S, Yadegary M A, Aliabadi A, Arbabisarjou A, Ansari H. Relationship Between Depression and Daily Activities Among Older Adults in Zahedan, Iran: A Cross-Sectional Study in 2024. Iran J Health Sci 2025; 13 (4) :6-6
URL: http://jhs.mazums.ac.ir/article-1-1039-en.html
Department of Biostatistics and Epidemiology, Health Promotion Research Center, School of Health, Zahedan University of Medical Sciences, Zahedan, Iran , Ansarih88@gmail.com
Abstract:   (40 Views)
Background and purpose: The inability to perform daily activities can have detrimental effects such as reduced quality of life and reduced social participation, and is a risk factor for anxiety and depression. Therefore, this study this study aimed to" determining depression and its relationship with activities of daily living (ADL) and instrumental activities of daily living(IADL) among older adults in Zahedan 2024 ".
Materials and methods: This cross-sectional study was conducted on 324 elderly individuals aged 60 and above in Zahedan in 2024. Sampling was performed using a cluster and multi-stage method. Data were collected using the Geriatric Depression Scale–15 (GDS-15), ADL, and IADL questionnaire. Depression categories were defined by GDS-15 scores: 0-4(normal), 5-9(moderate), and 10-15(severe). Analysis was conducted using STATA.17 with chi-square test, Pearson correlation coefficient, and linear regression tests. A significance level of 0.05 was considered.
Results: The Mean±SD age was 70.84±18.8 (60 to 99 years). In terms of depression, 100(34%) had moderate and severe depression. In terms of performing ADL and IADL, 30(9.3%) and 159(49.1%) had dependence, respectively. Statistical analysis showed that depression has a significant negative correlation with ADL (r=-0.493, P<0.001) and IADL (r=-0.544, P<0.01). indicating higher depression levels are associated with lower functional independence. Regression analysis further identified ADL/IADL performance, gender, marital status, education, and socioeconomic status as significant predictors of depression, explaining 58% of the variance (R² =0.58, p<0.05).
Conclusion: The findings demonstrate that independence in ADL and IADL, along with some socio-demographic factors play a crucial role in predicting depression among older adults. Therefore, by creating a supportive environment and providing appropriate opportunities, the quality of life of the elderly can be improved, their sense of satisfaction and happiness can be increased, and depression can be reduced.
     
Type of Study: Original Article | Subject: Geriatrics

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