مجله رویش روا‌ن‌شناسی از دادن گواهی‌های کاغذی معذور است. لطفا تقاضا نکنید. همه گواهی ها در صفحه شخصی کاربران موجود است.

year 14, Issue 6 (summer 2025 2025)                   Rooyesh 2025, 14(6): 111-120 | Back to browse issues page

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Sadeghi Firouzabadi A, Ansari Shahidi M, Tajeri B, Moradmanesh F. (2025). Prediction of treatment adherence based on personality traits and motivation in patients with high blood pressure. Rooyesh. 14(6), 111-120.
URL: http://frooyesh.ir/article-1-6178-en.html
1- PhD Student, Department of psychology, Na.c., Islamic Azad university, Najafabad, Iran.
2- Assistant Professor, Department of Health Psychology, Na.C., Islamic Azad University, Najafabad, Iran. , Dransarishahidi@gmail.com
3- Assistant Professor, Department of Psychology, Karaj Branch, Islamic Azad University, Karaj, Iran.
4- Assistant professor, department of psychology, Dezful Campus, Islamic Azad University, Dezful, Iran.
Abstract:   (3 Views)

The present study aimed to predict treatment adherence based on personality traits and motivation in patients with hypertension. The research method was descriptive-correlational. The study population consisted of individuals with hypertension in Hamadan city in 2024, from whom 384 participants were selected using purposive sampling. The research instruments included the Morisky Medication Adherence Scale (2008, MMAS), the NEO Five-Factor Inventory (Costa & McCrae, 1992, NEO-FFI), and the Intrinsic Motivation Inventory (McAuley et al., 1989, IMI). Data analysis was performed using simultaneous regression analysis. The results showed that the personality traits of neuroticism, extraversion, openness to experience, agreeableness, and conscientiousness, as well as motivation, together explained 17% of the variance in treatment adherence (P<0.05). Based on these findings, it can be concluded that personality traits and motivation play an important role in predicting treatment adherence in patients with hypertension.

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Type of Article: Research | Subject: General Psychology
Received: 2025/04/16 | Accepted: 2025/04/30 | ePublished: 2025/09/1

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