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

Authors

Hamid Kazemi Zahrani1,*, Ayoob Kamali2, Maryam Ghorbani1
1Dept. of psychology, Payam-e-Noor University, Tehran, Iran
2Dept. of Psychology, Faculty of Psychology & Educational Sciences, Isfahan University, Isfahan, Iran
*Corresponding Author: Corresponding author: Hamid Kazemi Zahrani, Dept. of psychology, Payam-e-Noor University, Tehran, Iran, Tel: +98 9134082088 Email: [email protected]

Journal of Kermanshah University of Medical Sciences:Vol. 18, issue 9; e74022
Published online:Dec 29, 2014
Article type:Research Article
Received:Jun 30, 2014
Accepted:Dec 09, 2014
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: https://doi.org/10.22110/jkums.v18i9.1860

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.

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Copyright

© 2014, Journal of Kermanshah University of Medical Sciences. This open-access article is available under the Creative Commons Attribution-NonCommercial 4.0 (CC BY-NC 4.0) International License (https://creativecommons.org/licenses/by-nc/4.0/), which allows for the copying and redistribution of the material only for noncommercial purposes, provided that the original work is properly cited.

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