Allom, Vanessa, Mullan, Barbara, & Hagger, Martin. (2016). Does inhibitory control training improve health behaviour? A meta-analysis. Health Psychology Review, 10(2), 168-186. doi: 10.1080/17437199.2015.1051078
Anokhin, A. P., & Golosheykin, S. . (2014). No-Go P3, a heritable neural marker of inhibitory control, prospectively predicts regular smoking in adolescents. International Journal of Psychophysiology, 94(2), 181. doi: http://dx.doi.org/10.1016/j.ijpsycho.2014.08.766
Ashare, R. L., Falcone, M., & Lerman, C. (2014). Cognitive function during nicotine withdrawal: Implications for nicotine dependence treatment. Neuropharmacology, 76 Pt B, 581-591. doi: 10.1016/j.neuropharm.2013.04.034
Ashare, R. L., & Hawk, L. W., Jr. (2012). Effects of smoking abstinence on impulsive behavior among smokers high and low in ADHD-like symptoms. Psychopharmacology (Berl), 219(2), 537-547. doi: 10.1007/s00213-011-2324-2
Ashare, R., Strasser, A. A., Wileyto, E. P., Cuevas, J., & Audrain-McGovern, J. (2014). Cognitive deficits specific to depression-prone smokers during abstinence. Exp Clin Psychopharmacol, 22(4), 323-331. doi: 10.1037/a0037072
Day, Anne M., Kahler, Christopher W., Metrik, Jane, Spillane, Nichea S., Tidey, Jennifer W., & Rohsenow, Damaris J. (2015). Working Memory Moderates the Association Between Smoking Urge and Smoking Lapse Behavior After Alcohol Administration in a Laboratory Analogue Task. Nicotine & Tobacco Research, 17(9), 1173-1177. doi: 10.1093/ntr/ntu259
Gorjian, Fatemeh, & Abdollahi, Mohammad Hossein. (2016). Comparison of Executive functions and the Cognitive estimation and Interpretation bias in patients with Social Anxiety disorder and normal individuals. Journal of Cognitive Psychology, 4(3), 41-50. [Persian].
Grenard, J. L., Ames, S. L., Wiers, R. W., Thush, C., Sussman, S., & Stacy, A. W. (2008). Working memory capacity moderates the predictive effects of drug-related associations on substance use. Psychol Addict Behav, 22(3), 426-432. doi: 10.1037/0893-164x.22.3.426
Gunn, Rachel L., & Finn, Peter R. (2015). Applying a dual process model of self-regulation: The association between executive working memory capacity, negative urgency, and negative mood induction on pre-potent response inhibition. Personality and Individual Differences, 75, 210-215. doi: http://dx.doi.org/10.1016/j.paid.2014.11.033
Harrison, E. L., Coppola, S., & McKee, S. A. (2009). Nicotine deprivation and trait impulsivity affect smokers' performance on cognitive tasks of inhibition and attention. Exp Clin Psychopharmacol, 17(2), 91-98. doi: 10.1037/a0015657
Heatherton, T. F., Kozlowski, L. T., Frecker, R. C., & Fagerstrom, K. O. (1991). The Fagerstrom Test for Nicotine Dependence: a revision of the Fagerstrom Tolerance Questionnaire. Br J Addict, 86(9), 1119-1127.
Heydari GhR. Good Time for Starting Smoking Cessation Programs. Pajoohandeh Journal. 2009;14(2):53-7. [Persian].
Hofmann, Wilhelm, Friese, Malte, & Wiers, Reinout W. (2008). Impulsive versus reflective influences on health behavior: a theoretical framework and empirical review. Health Psychology Review, 2(2), 111-137. doi: 10.1080/17437190802617668
hoseini, farhad, habibi, mojtaba, & radfar, farhad. (2015). Comparison of attachment style, perceived loneliness and mental health in smoker and nonsmoker Students. Scientific Journal Management System, 4(14), 45-61. [Persian].
Houben, K., & Jansen, A. (2015). Chocolate equals stop. Chocolate-specific inhibition training reduces chocolate intake and go associations with chocolate. Appetite, 87, 318-323. doi: 10.1016/j.appet.2015.01.005
Houben, K., Nederkoorn, C., Wiers, R. W., & Jansen, A. (2011). Resisting temptation: decreasing alcohol-related affect and drinking behavior by training response inhibition. Drug Alcohol Depend, 116(1-3), 132-136. doi: 10.1016/j.drugalcdep.2010.12.011
Jones, A., McGrath, E., Houben, K., Nederkoorn, C., Robinson, E., & Field, M. (2014). A comparison of three types of web-based inhibition training for the reduction of alcohol consumption in problem drinkers: study protocol. BMC Public Health, 14, 796. doi: 10.1186/1471-2458-14-796
Larsen, H., Kong, G., Becker, D., Cousijn, J., Boendermaker, W., Cavallo, D., . . . Wiers, R. (2014). Implicit motivational processes underlying smoking in american and dutch adolescents. Front Psychiatry, 5, 51. doi: 10.3389/fpsyt.2014.00051
Lerman, C., Gu, H., Loughead, J., Ruparel, K., Yang, Y., & Stein, E. A. (2014). Large-scale brain network coupling predicts acute nicotine abstinence effects on craving and cognitive function. JAMA Psychiatry, 71(5), 523-530. doi: 10.1001/jamapsychiatry.2013.4091
López-Torrecillas, F., Nieto-Ruiz, A., Velasco-Ortuño, S., Lara-Fernández, M., López-Quirantes, E. M., & Castillo-Fernández, E. (2014). The role of impulsivity in dropout from treatment for cigarette smoking. Comprehensive Psychiatry, 55(7), 1609-1613. doi: http://dx.doi.org/10.1016/j.comppsych.2014.06.004
Loughead, James, Wileyto, E. Paul, Ruparel, Kosha, Falcone, Mary, Hopson, Ryan, Gur, Ruben, & Lerman, Caryn. (2015). Working Memory-Related Neural Activity Predicts Future Smoking Relapse. Neuropsychopharmacology, 40(6), 1311-1320. doi: 10.1038/npp.2014.318
McClernon, F. Joseph, Addicott, Merideth A., & Sweitzer, Maggie M. (2015). Smoking Abstinence and Neurocognition: Implications for Cessation and Relapse. In D. J. K. Balfour & M. R. Munafò (Eds.), The Neurobiology and Genetics of Nicotine and Tobacco (pp. 193-227). Cham: Springer International Publishing.
Moallem, Nathasha R., & Ray, Lara A. (2012). Dimensions of impulsivity among heavy drinkers, smokers, and heavy drinking smokers: Singular and combined effects. Addictive Behaviors, 37(7), 871-874. doi: http://dx.doi.org/10.1016/j.addbeh.2012.03.002
Pettiford, Jasmine, Kozink, Rachel V., Lutz, Avery M., Kollins, Scott H., Rose, Jed E., & McClernon, F. Joseph. (2007). Increases in impulsivity following smoking abstinence are related to baseline nicotine intake and boredom susceptibility. Addictive Behaviors, 32(10), 2351-2357. doi: http://dx.doi.org/10.1016/j.addbeh.2007.02.004
Poorkord, Mahdi., & Abolghasemi, Abbas. (2013). The relationship of impulsivity, and behavioral inhibition and behavioral activation systems with tendency to substance abuse in adolescents. Scientific Journal Management System, 2(6), 5-17. [Persian].
Powell, J., Dawkins, L., West, R., Powell, J., & Pickering, A. (2010). Relapse to smoking during unaided cessation: clinical, cognitive and motivational predictors. Psychopharmacology (Berl), 212(4), 537-549. doi: 10.1007/s00213-010-1975-8
Ramezanzadeh, Fatemeh, Moradi, Alireza, & Mohammadkhani, Shahram. (2014). Effectiveness training emotion regulation skills in executive function and emotion regulation strategies of adolescents at risk. Journal of Cognitive Psychology, 2(2), 37-45. [Persian].
Stacy, A., & Wiers, R. W. (2010). Implicit cognition and addiction: a tool for explaining paradoxical behavior. Annu Rev Clin Psychol, 6. doi: 10.1146/annurev.clinpsy.121208.131444
Stippekohl, B., Winkler, M., Mucha, R. F., Pauli, P., Walter, B., Vaitl, D., & Stark, R. (2010). Neural responses to BEGIN- and END-stimuli of the smoking ritual in nonsmokers, nondeprived smokers, and deprived smokers. Neuropsychopharmacology, 35(5), 1209-1225. doi: 10.1038/npp.2009.227
Strack, F., & Deutsch, R. (2004). Reflective and impulsive determinants of social behavior. Pers Soc Psychol Rev, 8(3), 220-247. doi: 10.1207/s15327957pspr0803_1
Veling, H., van Koningsbruggen, G. M., Aarts, H., & Stroebe, W. (2014). Targeting impulsive processes of eating behavior via the internet. Effects on body weight. Appetite, 78, 102-109. doi: 10.1016/j.appet.2014.03.014
World Health Organization. Tobacco. (2016). Available from: http://www. who.int/mediacentre/factsheets/fs339/en/
World Health Organization. The Smoker’s Body. (2004). Available from: http://www.who.int/tobacco/publications/health_effects/smokers_body/en/