Forouzanfar MH, Alexander L, Anderson HR, Bachman VF, Biryukov S, Brauer M, et al. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990-2013: a systematic analysis for the global burden of disease study 2013. Lancet. 2015;386:2287–323.
World Health Organization [WHO]: WHO global report. Mortality attributable to tobacco. World Health Organization. 2012. http://www.who.int/tobacco/publications/surveillance/rep_mortality_attributable/en/. Accessed 12 Oct 2017.
U.S. National Cancer Institute and World Health Organisation. The economics of tobacco and tobacco control. National Cancer Institute tobacco control monograph 21. Geneva: World Health Organization; 2016.
Australian Institute of Health and Welfare [AIHW]. National Drug Strategy Household Survey 2016: detailed findings. AIHW. 2017. https://www.aihw.gov.au/getmedia/15db8c15-7062-4cde-bfa4-3c2079f30af3/21028.pdf.aspx?inline=true. Accessed 15 Oct 2017.
Greenhalgh EM, Bayly M, Winstanley MH. Chapter 1. Trends in the prevalence of smoking. In: Scollo MM, Winstanley MH, editors. Tobacco in Australia: facts and issues. Melbourne: Cancer Council Victoria; 2015.
Stead LF, Lancaster T. Combined pharmacotherapy and behavioural interventions for smoking cessation. Cochrane Database Syst Rev. 2012;10:1–118.
Cahill K, Stevens S, Perera R, Lancaster T. Pharmacological interventions for smoking cessation: an overview and network meta-analysis. Cochrane Database Syst Rev. 2013;31:1–50.
Lancaster T, Stead LF. Individual behavioural counselling for smoking cessation. Cochrane Database Syst Rev. 2005;18:1–50.
Stead LF, Lancaster T. Group behaviour therapy programmes for smoking cessation. Cochrane Database Syst Rev. 2005;18:1–76.
Stead LF, Koilpillai P, Lancaster T. Additional behavioural support as an adjunct to pharmacotherapy for smoking cessation. Cochrane Database Syst Rev. 2015;10:1–104.
Centers for Disease Control and Prevention. Quitting smoking among adults—United States, 2000–2015. Morb Mortal Wkly Rep. 2017;65:1457–64.
Balmford J, Borland R, Hammond D, Cummings KM. Adherence to and reasons for premature discontinuation from stop-smoking medications: data from the ITC four-country survey. Nicotine Tob Res. 2011;13:94–102.
Morphett K, Partridge B, Gartner C, Carter A, Hall W. Why don’t smokers want help to quit? A qualitative study of smokers’ attitudes towards assisted vs. unassisted quitting. Int J Environ Res Public Health. 2015;12:6591–607.
Vogt F, Hall S, Marteau TM. Understanding why smokers do not want to use nicotine dependence medications to stop smoking: qualitative and quantitative studies. Nicotine Tob Res. 2008;10:1405–13.
Pisinger C, Aadahl M, Toft U, Jørgensen T. Motives to quit smoking and reasons to relapse differ by socioeconomic status. Prev Med. 2011;52:48–52.
Villanti AC, Manderski MTB, Gundersen DA, Steinberg MB, Delnevo CD. Reasons to quit and barriers to quitting smoking in US young adults. Fam Pract. 2016;33:133–9.
Hughes JR, Solomon LJ, Naud S, Fingar JR, Helzer JE, Callas PW. Natural history of attempts to stop smoking. Nicotine Tob Res. 2014;16:1190–8.
Piasecki TM. Relapse to smoking. Clin Psychol Rev. 2006;26:196–215.
Spanier CA, Shiffman S, Maurer A, Reynolds W, Quick D. Rebound following failure to quit smoking: the effects of attributions and self-efficacy. Exp Clin Psychopharm. 1996;4:191–7.
Krishnan-Sarin S, Reynolds B, Duhig AM, Smith A, Liss T, McFetridge A, et al. Behavioral impulsivity predicts treatment outcome in a smoking cessation program for adolescent smokers. Drug Alcohol Depend. 2007;88:79–82.
Powell J, Dawkins L, West R, Powell J, Pickering A. Relapse to smoking during unaided cessation: clinical, cognitive and motivational predictors. Psychopharmacology. 2010;212:537–49.
Charles-Walsh K, Furlong L, Munro DG, Hester R. Inhibitory control dysfunction in nicotine dependence and the influence of short-term abstinence. Drug Alcohol Depend. 2014;143:81–6.
Smith JL, Mattick RP, Jamadar SD, Iredale JM. Deficits in behavioural inhibition in substance abuse and addiction: a meta-analysis. Drug Alcohol Depend. 2014;145:1–33.
Yin J, Yuan K, Feng D, Cheng J, Li Y, Cai C, et al. Inhibition control impairments in adolescent smokers: electrophysiological evidence from a go/NoGo study. Brain Imaging Behav. 2016;10:497–505.
Billieux J, Gay P, Rochat L, Khazaal Y, Zullino D, Van der Linden M. Lack of inhibitory control predicts cigarette smoking dependence: evidence from a non-deprived sample of light to moderate smokers. Drug Alcohol Depend. 2010;112:164–7.
Venugopalan V. Compulsion and control: prefrontal and mesolimbic systems in human addiction (doctoral dissertation). Quebec: McGill University; 2011.
Hyland A, Borland R, Li Q, Yong HH, McNeill A, Fong GT, et al. Individual-level predictors of cessation behaviours among participants in the international tobacco control (ITC) four country survey. Tob Control. 2006;15:iii813.
Vangeli E, Stapleton J, Smit ES, Borland R, West R. Predictors of attempts to stop smoking and their success in adult general population samples: a systematic review. Addiction. 2011;106:2110–21.
Jones A, Di Lemma LC, Robinson E, Christiansen P, Nolan S, Tudur-Smith C, Field M. Inhibitory control training for appetitive behaviour change: a meta-analytic investigation of mechanisms of action and moderators of effectiveness. Appetite. 2016;97:16–28.
Jones A, McGrath E, Houben K, Nederkoorn C, Robinson E, Field M. A comparison of three types of web-based inhibition training for the reduction of alcohol consumption in problem drinkers: study protocol. BMC Public Health. 2014;14:796–805.
Wright L, Lipszyc J, Dupuis A, Thayapararajah S, Schachar R. Response inhibition and psychopathology: a meta-analysis of go/no-go task performance. J Abnorm Psychol. 2014;123:429–39.
Verbruggen F, Logan GD. Response inhibition in the stop-signal paradigm. Trends Cogn Sci. 2008;12:418–24.
Allom V, Mullan B, Hagger M. Does inhibitory control training improve health behaviour? A meta-analysis. Health Psychol Rev. 2015;10:1–38.
Houben K, Havermans RC, Nederkoorn C, Jansen A. Beer à no-go: learning to stop responding to alcohol cues reduces alcohol intake via reduced affective associations rather than increased response inhibition. Addiction. 2012;107:1280–7.
Jones A, Field M. The effects of cue-specific inhibition training on alcohol consumption in heavy social drinkers. Exp Clin Psychopharmacol. 2013;21:8–16.
Lawrence NS, O’Sullivan J, Parslow D, Javaid M, Adams RC, Chambers CD, et al. Training response inhibition to food is associated with weight loss and reduced energy intake. Appetite. 2015;95:17–28.
Veling H, van Koningsbruggen GM, Aarts H, Stroebe W. Targeting impulsive processes of eating behavior via the internet. Effects on body weight. Appetite. 2014;78:102–9.
Veling H, Holland RW, van Knippenberg A. When approach motivation and behavioral inhibition collide: behavior regulation through stimulus devaluation. J Exp Soc Psychol. 2008;44:1013–9.
Houben K, Nederkoorn C, Wiers RW, Jansen A. Resisting temptation: decreasing alcohol-related affect and drinking behavior by training response inhibition. Drug Alcohol Depend. 2011;116(1–3).
Chen Z, Veling H, Dijksterhuis A, Holland RW. How does not responding to appetitive stimuli cause devaluation: evaluative conditioning or response inhibition? J Exp Psychol Gen. 2016;145:1687–701.
Veling H, Aarts H, Stroebe W. Stop signals decrease choices for palatable foods through decreased food evaluation. Front Psychol. 2013;4:1–7.
Veling H, Aarts H, Papies EK. Using stop signals to inhibit chronic dieters’ responses toward palatable foods. Behav Res Ther. 2011;49:771–80.
Veling H, Lawrence N, Chen Z, van Koningsbruggen GM, Holland RW. What is trained during food go/no-go training? A review focusing on mechanisms and a research agenda. Curr Addict Rep. 2017;4:35–41.
Pettiford J, Kozink RV, Lutz AM, Kollins SH, Rose JE, McClernon FJ. Increases in impulsivity following smoking abstinence are related to baseline nicotine intake and boredom susceptibility. Addict Behav. 2007;32:2351–7.
American Psychological Association [APA]. Diagnostic and statistical manual of mental disorders. 5th ed. Arlington: American Psychiatric Publishing; 2013.
Altman DG, Schulz KF. Concealing treatment allocation in randomised trials. BMJ. 2001;323:446–7.
Robinson SM, Sobell LC, Sobell MB, Leo GI. Reliability of the timeline Followback for cocaine, cannabis, and cigarette use. Psychol Addict Behav. 2014;28:154–62.
Sobell LC, Sobell MB. Timeline follow-Back: a technique for assessing self-reported alcohol consumption. In: Litten RZ, Allen JP, editors. Measuring alcohol consumption: psychosocial and biochemical methods. Totowa: Humana Press; 1992. p. 41–72.
Heatherton TF, Kozlowski LT, Frecker RC, Fagerström KO. The Fagerström test for nicotine dependence: a revision of the Fagerström tolerance questionnaire. Br J Addict. 1991;86:1119–27.
Payne TJ, Smith PO, McCracken LM, McSherry WC, Antony MM. Assessing nicotine dependence: a comparison of the Fagerström tolerance questionnaire (FTQ) with the Fagerström test for nicotine dependence (FTND) in a clinical sample. Addict Behav. 1994;19:307–17.
Singleton EG, Anderson LM, Heishman SJ. Reliability and validity of the tobacco craving questionnaire and validation of a craving-induction procedure using multiple measures of craving and mood. Addiction. 2003;98:1537–46.
West R, Ussher M. Is the ten-item questionnaire of smoking urges (QSU-brief) more sensitive to abstinence than shorter craving measures? Psychopharmacology. 2010;208:427–32.
Roster CA, Lucianetti L, Albaum G. Exploring slider vs. categorical response formats in web-based surveys. J Res Pract. 2015;11:1–20.
Cook C, Heath F, Thompson R, Thompson B. Score reliability in web - or internet based surveys: unnumbered graphical rating scales versus Likert-type scales. Educ Psychol Meas. 2001;6:697–706.
Henry JD, Crawford JR. The short-form version of the depression anxiety stress scales (DASS-21): construct validity and normative data in a large non-clinical sample. Br J Clin Psychol. 2005;44:227–39.
Page AC, Hooke GR, Morrison DL. Psychometric properties of the depression anxiety stress scales (DASS) in depressed clinical samples. Br J Clin Psychol. 2007;46:283–97.
Saunders JB, Aasland OG, Babor TF, De La Fuente JR, Grant M. Development of the alcohol use disorders identification test (AUDIT): WHO collaborative project on early detection of persons with harmful alcohol consumption-II. Addiction. 1993;88:791–804.
Reinert DF, Allen JP. The alcohol use disorders identification test: an update of research findings. Alcohol Clin Exp Res. 2007;31:185–99.
Patton JH, Stanford MS, Barratt ES. Factor structure of the Barratt impulsiveness scale. J Clin Psychol. 1995;51:768–74.
Spinella M. Normative data and a short form of the Barratt impulsiveness scale. Int J Neurosci. 2007;117:359–68.
Lappin JS, Eriksen CW. Use of a delayed signal to stop a visual reaction-time response. J Exp Psychol Gen. 1966;72:805–11.
Logan GD, Schachar RJ, Tannock R. Impulsivity and inhibitory control. Psychol Sci. 1997;8:60–4.
Houben K, Nederkoorn C, Jansen A. Eating on impulse: the relation between overweight and food-specific inhibitory control. Obesity. 2014;22:E6–8.
Field A. Discovering statistics using IBM SPSS statistics. 5th revised ed. London: Sage Publications Ltd; 2013.
Allison PD. Multiple imputation for missing data: a cautionary tale. Sociol Methods Res. 2000;28:301–9.
Horton NJ, Lipsitz SR. Multiple imputation in practice: comparison of software packages for regression models with missing variables. Am Stat. 2001;55:244–54.
Adams S, Mokrysz C, Attwood AS, Munafo MR. Resisting the urge to smoke: inhibitory control training in cigarette smokers. R Soc Open Sci. 2017;4:170045.
Stice E, Yokum S, Veling H, Kemps E, Lawrence NS. Pilot test of a novel food response and attention training treatment for obesity: brain imaging data suggest actions shape valuation. Behav Res Ther. 2017;94:60–70.
Adams RC, Lawrence NS, Verbruggen F, Chambers CD. Training response inhibition to reduce food consumption:mechanisms, stimulus specificity and appropriate training protocols. Appetite. 2016;109:11–23.
Abroms LC, Lee Westmaas J, Bontemps-Jones J, Ramani R, Mellerson J. A content analysis of popular smartphone apps for smoking cessation. Am J Prev Med. 2013;45:732–6.
Pexels: Untitled Image from Pixabay [Internet]. Uploaded 18 November 2016. Available from .https://pixabay.com/en/lake-forest-woods-person-bench-2611710/.
Studio Art: Close-up view of male hand take a pack of cigarettes [Internet]. Available from https://www.shutterstock.com/image-photo/closeup-view-male-hand-take-pack-281293961. Accessed 26 Feb 2016.
Khamiranon D: Cigarettes With A Soft-Focus Background Is Dark [Internet]. Accessed 26 Feb 2016. Available from https://www.shutterstock.com/image-photo/cigarettes-softfocus-background-dark-380941702