Journal of Kermanshah University of Medical Sciences
Peer-reviewed Medical Quarterly
Outline
Predictive model of nicotine dependence based on mental health indicators and self-concept
Authors
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.
References
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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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