logo
Volume 10, Issue 6 (1-2013)                   RBS 2013, 10(6): 411-420 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

حدادي کوهسار ع ا, غباري بناب ب ق. Prediction of symptoms based on the concept of God among medical students. RBS 2013; 10 (6) :411-420
URL: http://rbs.mui.ac.ir/article-1-274-en.html
1- دانشيار، گروه روان‌شناسي، دانشكده روان‌شناسي و علوم تربيتي، دانشگاه تهران، تهران، ايران
Abstract:   (1584 Views)
Aim and Background: The concept of God concept is transferred to individuals by means of cultural and theological media. It is a conceptual understanding of people about the attributes of God and is closely associated with their mental health. The aim of the current study was to predict symptoms based on the concept of God in Iranian medical students. Methods and Materials: In this correlational study, 289 students from Tehran University of Medical Sciences were selected through proportional stratified sampling God Concept&nbsp;Adjective Checklist&nbsp; and Symptoms Checklist 90-Revised were administered to collect data. Data was then analyzed by Pearson&rsquo;s correlation coefficient and multiple regression analysis. Findings: Symptoms of college students can be predicted by their God concept. Moreover, male and female students with a positive God concept had fewer symptoms than students with a negative God concept (P < 0.01). Conclusions: Result of the study indicated that symptoms can be predicted from their God concept, thus mental health of individuals is associated with their mental health status. Theoretical implication and practical application of the finding are discussed in the original paper.
Full-Text [PDF 278 kb]   (395 Downloads)    
Type of Study: Research | Subject: General
Received: 2020/02/8 | Published: 2013/01/15

Add your comments about this article : Your username or Email:
CAPTCHA

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.