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


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

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


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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