Abdolmaleki F, Khalilzadeh Z, Kakavand A.
(2026). Prediction of Adults' Body-Image Attitudes Based on Nostalgia and Psychological Capital. Rooyesh. 15(2), 57-66.
URL: http://frooyesh.ir/article-1-6611-en.html
1- Master’s of Clinical Psychology, Department of Clinical Psychology, University of Tabriz, Tabriz, Iran.
2- Master’s of Clinical Psychology, Department of Clinical Psychology, Mara.C., Islamic Azad University, Marand, Iran.
3- Full Professor, Department of Psychology, Faculty of Social Sciences, Imam Khomeini International University, Qazvin, Iran. ar.kakavand@soc.ikiu.ac.ir , ar.kakavand@soc.ikiu.ac.ir
Abstract: (4 Views)
This study aimed to predict adults' body-image attitudes based on nostalgia and psychological capital. The present research employed a descriptive-correlational design. The statistical population consisted of female employees of Qazvin University of Medical Sciences in 2024, from whom a convenience sample of 240 individuals was selected. The instruments included the Nostalgia Inventory (NI; Batcho, 1995), the Multidimensional Body-Self Relations Questionnaire (MBSRQ; Cash, 1985), and the Psychological Capital Questionnaire (PCQ; Luthans et al., 2007). Data were analyzed using Pearson correlation and multiple regression tests. The findings indicated that all components of nostalgia and psychological capital had a significant positive relationship with body image (p < 0.01). Moreover, nostalgia and psychological capital together were able to predict the criterion variable, explaining 41.8% of the variance in body-image attitudes (p < 0.001). These results suggest that nostalgia and psychological capital play an important role in explaining and predicting body-image attitudes among adults and are significantly associated with more positive body-image attitudes. The findings may provide a foundation for designing psychological interventions and promoting mental health, particularly in improving attitudes toward body image.
Type of Article:
Research |
Subject:
General Psychology Received: 2025/09/26 | Accepted: 2025/10/1 | ePublished: 2026/04/29