Cover image of the article: Prediction of Addiction Potential in Youth According to Attachment Styles

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Prediction of Addiction Potential in Youth According to Attachment Styles

Authors

Leila Keikha1, Raziyeh Shahidi2, Zahra Nikmanesh3, Parviz Reza Mirlotfi4, Mahdieh Adroom5,*
1Department of Library, Zahedan University of Medical Sciences, Zahedan, Iran
2Department of Psychology, Birjand University, Birjand, Andorra
3Department of Psychology, Sistan and Balouchestan University,, Zahedan, Iran
4Department of Islamic Education , Zahedan University of Medical Science s, Zahedan, Iran
5Department of Psychology, Zahedan University of Medical Sciences , Zahedan, Iran
*Corresponding Author: Department of Psychology, Zahedan University of Medical Sciences , Zahedan, Iran Email: mahdiehadroom@yahoo.com

Zahedan Journal of Research in Medical Sciences:Vol. 16, issue 5; 89-91
Published online:May 18, 2013
Article type:Brief Report
Received:Dec 19, 2011
Accepted:Jan 05, 2012
How to Cite:Keikha L, Shahidi R, Nikmanesh Z, Mirlotfi PR, Adroom M. Prediction of Addiction Potential in Youth According to Attachment Styles. Zahedan J Res Med Sci. 2014;16(5):. doi:

Abstract

Background: The present study aim is to predict the psychological inclination to drug use in youths by studying their attachment styles.

Materials and Methods: The research sample includes male and female students of Zahedan Medical Science University with the average age of 19-24. The proportional cluster random sampling was used for selection of participant. The hypotheses were analyzed, using Pearson correlation method, regression analysis, one way variance analysis and t-test for two independent groups.

Results: The results indicated positive relationships among addiction aptitude and insecure-avoidant attachment style and negative relationship between addiction aptitude and secure attachment style.

Conclusions: It is necessary to focus training intervention and prevention on all students.

Highlights

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Copyright

© 2014, Author(s). This open-access article is available under the Creative Commons Attribution 4.0 (CC BY 4.0) International License (https://creativecommons.org/licenses/by/4.0/), which allows for unrestricted use, distribution, and reproduction in any medium, provided that the original work is properly cited.

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