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:: Volume 12, Issue 1 (6-2020) ::
JNKUMS 2020, 12(1): 9-17 Back to browse issues page
The Prediction Model of Domestic Violence Against Women Based on Alexithymia and Family Performance with Differentiation Mediation
Toktam Jafarzadeh , Ali Akbar Soleimanian , Mohammadr Mohammadpou
Abstract:   (175 Views)
Introduction: Domestic violence is the cause of most physical and psychological damages in women. The purpose of this study is to predict domestic violence against women based on Alexithymia and family performance by mediating differentiation in women visiting to comprehensive urban health services centers in Bojnourd. Methods: The present study is a structural type and the statistical population of all women visiting in 1335 number of people. The sample size was estimated to be 250 by Cochran formula. The sampling method was a single stage cluster method. In order to measure the research variables, domestic violence, Alexithymia, family performance, and family data were analyzed using Amos software, Self-assessment mediation test method, structural equation method, path analysis. Results: The findings showed that family performance with Alexithymia of women's differentiation is significant at a confidence level of 0.99. Conclusions: The results of this study showed that differentiation can play the mediation role in the prediction of domestic violence.
Keywords: Alexithymia Self-Differentiation Domestic Violence Family Performance
Full-Text [PDF 2279 kb]   (127 Downloads)    
Type of Study: Orginal Research | Subject: Basic Sciences
Received: 2020/06/28 | Accepted: 2020/06/28 | Published: 2020/06/28
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Ethics code: IR.IEU.BUJNOURD. AIC.1396.4



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Jafarzadeh T, Soleimanian A A, Mohammadpou M. The Prediction Model of Domestic Violence Against Women Based on Alexithymia and Family Performance with Differentiation Mediation. JNKUMS. 2020; 12 (1) :9-17
URL: http://journal.nkums.ac.ir/article-1-2005-en.html


Volume 12, Issue 1 (6-2020) Back to browse issues page
مجله دانشگاه علوم پزشکی خراسان شمالی Journal of North Khorasan University of Medical Sciences
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