Predictive model of nicotine dependence based on mental health indicators and self-concept

AUTHORS

Hamid Kazemi Zahrani 1 , * , Ayoob Kamali 2 , Maryam Ghorbani 1

1 Dept. of psychology, Payam-e-Noor University, Tehran, Iran

2 Dept. of Psychology, Faculty of Psychology & Educational Sciences, Isfahan University, Isfahan, Iran

How to Cite: Kazemi Zahrani H, Kamali A, Ghorbani M. Predictive model of nicotine dependence based on mental health indicators and self-concept, J Kermanshah Univ Med Sci. 2014 ; 18(9):e74022. doi: 10.22110/jkums.v18i9.1860.

ARTICLE INFORMATION

Journal of Kermanshah University of Medical Sciences: 18 (9); e74022
Published Online: December 29, 2014
Article Type: Original Article
Received: June 30, 2014
Accepted: December 09, 2014
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Abstract

Background: The purpose of this research was to investigate the predictive power of anxiety, depression, stress and self-concept dimensions (Mental ability, job efficiency, physical attractiveness, social skills, and deficiencies and merits) as predictors of nicotine dependency among university students in Isfahan.

Methods: In this correlational study, 110 male nicotine-dependent students at Isfahan University were selected by convenience sampling. All samples were assessed by Depression Anxiety Stress Scale (DASS), self-concept test and Nicotine Dependence Syndrome Scale. Data were analyzed by Pearson correlation and stepwise regression.

Results: The result showed that anxiety had the highest strength to predict nicotine dependence. In addition, the self-concept and its dimensions predicted only 12% of the variance in nicotine dependence, which was not significant.

Conclusion: Emotional processing variables involved in mental health
play an important role in presenting a model to predict students’ dependence on nicotine more than identity variables such as different dimensions of self-concept.

Keywords

Self-concept mental health nicotine dependence

© 2014, Journal of Kermanshah University of Medical Sciences. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/) which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly cited.

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