Skip to main content
Top
Published in: BMC Public Health 1/2018

Open Access 01-12-2018 | Study protocol

A randomised controlled trial examining the efficacy of smoking-related response inhibition training in smokers: a study protocol

Authors: Petra K. Staiger, Melissa J. Hayden, Karen Guo, Laura K. Hughes, Jason Bos, Natalia S. Lawrence

Published in: BMC Public Health | Issue 1/2018

Login to get access

Abstract

Background

Smoking is one of the leading preventable causes of illness and premature death worldwide. Despite a variety of effective treatments, relapse rates remain high, and novel, innovative interventions are needed in order to reduce the global prevalence of smoking. Research has indicated that deficits in the ability to inhibit a response (referred to as response inhibition) is a predictor of relapse and subsequently, targeting this potentially modifiable risk factor may lead to improvements in smoking outcomes. Indeed, in recent years, stimulus-specific response inhibition training has emerged as a potentially efficacious intervention to reduce unwanted/unhealthy behaviours such as alcohol and unhealthy food consumption. As such, the present trial is the first to evaluate the real-world efficacy of response inhibition smoking training (INST) in a sample of adult heavy smokers.

Methods/design

This randomised controlled trial will recruit nicotine dependent smokers aged between 18 and 60 using social media and advertisements in Victoria, Australia. The sample target was 150 to account for drop out and non-adherence. Once informed consent has been obtained, participants complete a range of baseline measures during a face to face interview. Participants are randomly allocated to one of two online training conditions: an intervention training group (INST), which requires participants to exercise response inhibition towards smoking-related stimuli; or an active control group, which requires participants to exercise response inhibition towards household items and does not include any smoking-related stimuli. They complete the first training session during the interview to ensure the training protocol is clear. Both groups are instructed to complete a further 13 training sessions (1 per day) at home on their computer and follow-up phone calls will be conducted at three time points: post-intervention, one-month and three months. The primary outcomes are: a) rates of smoking cessation and; b) reduction in the quantity of average daily smoking at post-intervention, one and three months follow-up.

Discussion

There is a pressing need to develop novel and innovative smoking interventions. If proven to be effective, INST could make a highly cost-effective contribution to improvements in smoking intervention outcomes.

Trial registration

The trial was prospectively registered with the Australian New Zealand Clinical Trials Registry 17th February 2017. Trial ID: ACTRN12617000252​314.
Appendix
Available only for authorised users
Literature
1.
go back to reference 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.CrossRef 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.CrossRef
3.
go back to reference 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. 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.
5.
go back to reference 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. 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.
6.
go back to reference Stead LF, Lancaster T. Combined pharmacotherapy and behavioural interventions for smoking cessation. Cochrane Database Syst Rev. 2012;10:1–118. Stead LF, Lancaster T. Combined pharmacotherapy and behavioural interventions for smoking cessation. Cochrane Database Syst Rev. 2012;10:1–118.
7.
go back to reference 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. 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.
8.
go back to reference Lancaster T, Stead LF. Individual behavioural counselling for smoking cessation. Cochrane Database Syst Rev. 2005;18:1–50. Lancaster T, Stead LF. Individual behavioural counselling for smoking cessation. Cochrane Database Syst Rev. 2005;18:1–50.
9.
go back to reference Stead LF, Lancaster T. Group behaviour therapy programmes for smoking cessation. Cochrane Database Syst Rev. 2005;18:1–76. Stead LF, Lancaster T. Group behaviour therapy programmes for smoking cessation. Cochrane Database Syst Rev. 2005;18:1–76.
10.
go back to reference 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. 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.
11.
go back to reference Centers for Disease Control and Prevention. Quitting smoking among adults—United States, 2000–2015. Morb Mortal Wkly Rep. 2017;65:1457–64.CrossRef Centers for Disease Control and Prevention. Quitting smoking among adults—United States, 2000–2015. Morb Mortal Wkly Rep. 2017;65:1457–64.CrossRef
12.
go back to reference 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.CrossRef 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.CrossRef
13.
go back to reference 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.CrossRef 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.CrossRef
14.
go back to reference 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.CrossRef 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.CrossRef
15.
go back to reference 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.CrossRef 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.CrossRef
16.
go back to reference 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.CrossRef 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.CrossRef
17.
go back to reference 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.CrossRef 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.CrossRef
18.
19.
go back to reference 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.CrossRef 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.CrossRef
20.
go back to reference 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.CrossRef 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.CrossRef
21.
go back to reference 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.CrossRef 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.CrossRef
22.
go back to reference 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.CrossRef 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.CrossRef
23.
go back to reference 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.CrossRef 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.CrossRef
24.
go back to reference 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.CrossRef 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.CrossRef
25.
go back to reference 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.CrossRef 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.CrossRef
26.
go back to reference Venugopalan V. Compulsion and control: prefrontal and mesolimbic systems in human addiction (doctoral dissertation). Quebec: McGill University; 2011. Venugopalan V. Compulsion and control: prefrontal and mesolimbic systems in human addiction (doctoral dissertation). Quebec: McGill University; 2011.
27.
go back to reference 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. 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.
28.
go back to reference 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.CrossRef 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.CrossRef
29.
go back to reference 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.CrossRef 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.CrossRef
30.
go back to reference 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.CrossRef 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.CrossRef
31.
go back to reference 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.CrossRef 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.CrossRef
32.
go back to reference Verbruggen F, Logan GD. Response inhibition in the stop-signal paradigm. Trends Cogn Sci. 2008;12:418–24.CrossRef Verbruggen F, Logan GD. Response inhibition in the stop-signal paradigm. Trends Cogn Sci. 2008;12:418–24.CrossRef
33.
go back to reference Allom V, Mullan B, Hagger M. Does inhibitory control training improve health behaviour? A meta-analysis. Health Psychol Rev. 2015;10:1–38. Allom V, Mullan B, Hagger M. Does inhibitory control training improve health behaviour? A meta-analysis. Health Psychol Rev. 2015;10:1–38.
34.
go back to reference 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.CrossRef 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.CrossRef
35.
go back to reference 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.CrossRef 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.CrossRef
36.
go back to reference 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.CrossRef 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.CrossRef
37.
go back to reference 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.CrossRef 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.CrossRef
38.
go back to reference 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.CrossRef 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.CrossRef
39.
go back to reference 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).CrossRef 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).CrossRef
40.
go back to reference 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.CrossRef 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.CrossRef
41.
go back to reference Veling H, Aarts H, Stroebe W. Stop signals decrease choices for palatable foods through decreased food evaluation. Front Psychol. 2013;4:1–7.CrossRef Veling H, Aarts H, Stroebe W. Stop signals decrease choices for palatable foods through decreased food evaluation. Front Psychol. 2013;4:1–7.CrossRef
42.
go back to reference Veling H, Aarts H, Papies EK. Using stop signals to inhibit chronic dieters’ responses toward palatable foods. Behav Res Ther. 2011;49:771–80.CrossRef Veling H, Aarts H, Papies EK. Using stop signals to inhibit chronic dieters’ responses toward palatable foods. Behav Res Ther. 2011;49:771–80.CrossRef
43.
go back to reference 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.CrossRef 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.CrossRef
44.
go back to reference 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.CrossRef 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.CrossRef
45.
go back to reference American Psychological Association [APA]. Diagnostic and statistical manual of mental disorders. 5th ed. Arlington: American Psychiatric Publishing; 2013.CrossRef American Psychological Association [APA]. Diagnostic and statistical manual of mental disorders. 5th ed. Arlington: American Psychiatric Publishing; 2013.CrossRef
46.
go back to reference Altman DG, Schulz KF. Concealing treatment allocation in randomised trials. BMJ. 2001;323:446–7.CrossRef Altman DG, Schulz KF. Concealing treatment allocation in randomised trials. BMJ. 2001;323:446–7.CrossRef
47.
go back to reference 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.CrossRef 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.CrossRef
48.
go back to reference 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.CrossRef 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.CrossRef
49.
go back to reference 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.CrossRef 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.CrossRef
50.
go back to reference 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.CrossRef 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.CrossRef
51.
go back to reference 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.CrossRef 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.CrossRef
52.
go back to reference 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.CrossRef 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.CrossRef
53.
go back to reference Roster CA, Lucianetti L, Albaum G. Exploring slider vs. categorical response formats in web-based surveys. J Res Pract. 2015;11:1–20. Roster CA, Lucianetti L, Albaum G. Exploring slider vs. categorical response formats in web-based surveys. J Res Pract. 2015;11:1–20.
54.
go back to reference 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.CrossRef 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.CrossRef
55.
go back to reference 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.CrossRef 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.CrossRef
56.
go back to reference 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.CrossRef 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.CrossRef
57.
go back to reference 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.CrossRef 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.CrossRef
58.
go back to reference Reinert DF, Allen JP. The alcohol use disorders identification test: an update of research findings. Alcohol Clin Exp Res. 2007;31:185–99.CrossRef Reinert DF, Allen JP. The alcohol use disorders identification test: an update of research findings. Alcohol Clin Exp Res. 2007;31:185–99.CrossRef
59.
go back to reference Patton JH, Stanford MS, Barratt ES. Factor structure of the Barratt impulsiveness scale. J Clin Psychol. 1995;51:768–74.CrossRef Patton JH, Stanford MS, Barratt ES. Factor structure of the Barratt impulsiveness scale. J Clin Psychol. 1995;51:768–74.CrossRef
60.
go back to reference Spinella M. Normative data and a short form of the Barratt impulsiveness scale. Int J Neurosci. 2007;117:359–68.CrossRef Spinella M. Normative data and a short form of the Barratt impulsiveness scale. Int J Neurosci. 2007;117:359–68.CrossRef
61.
go back to reference Lappin JS, Eriksen CW. Use of a delayed signal to stop a visual reaction-time response. J Exp Psychol Gen. 1966;72:805–11.CrossRef Lappin JS, Eriksen CW. Use of a delayed signal to stop a visual reaction-time response. J Exp Psychol Gen. 1966;72:805–11.CrossRef
62.
go back to reference Logan GD, Schachar RJ, Tannock R. Impulsivity and inhibitory control. Psychol Sci. 1997;8:60–4.CrossRef Logan GD, Schachar RJ, Tannock R. Impulsivity and inhibitory control. Psychol Sci. 1997;8:60–4.CrossRef
63.
go back to reference Houben K, Nederkoorn C, Jansen A. Eating on impulse: the relation between overweight and food-specific inhibitory control. Obesity. 2014;22:E6–8.CrossRef Houben K, Nederkoorn C, Jansen A. Eating on impulse: the relation between overweight and food-specific inhibitory control. Obesity. 2014;22:E6–8.CrossRef
64.
go back to reference Field A. Discovering statistics using IBM SPSS statistics. 5th revised ed. London: Sage Publications Ltd; 2013. Field A. Discovering statistics using IBM SPSS statistics. 5th revised ed. London: Sage Publications Ltd; 2013.
65.
go back to reference Allison PD. Multiple imputation for missing data: a cautionary tale. Sociol Methods Res. 2000;28:301–9.CrossRef Allison PD. Multiple imputation for missing data: a cautionary tale. Sociol Methods Res. 2000;28:301–9.CrossRef
66.
go back to reference Horton NJ, Lipsitz SR. Multiple imputation in practice: comparison of software packages for regression models with missing variables. Am Stat. 2001;55:244–54.CrossRef Horton NJ, Lipsitz SR. Multiple imputation in practice: comparison of software packages for regression models with missing variables. Am Stat. 2001;55:244–54.CrossRef
67.
go back to reference 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.CrossRef 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.CrossRef
68.
go back to reference 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.CrossRef 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.CrossRef
69.
go back to reference 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.CrossRef 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.CrossRef
70.
go back to reference 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.CrossRef 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.CrossRef
Metadata
Title
A randomised controlled trial examining the efficacy of smoking-related response inhibition training in smokers: a study protocol
Authors
Petra K. Staiger
Melissa J. Hayden
Karen Guo
Laura K. Hughes
Jason Bos
Natalia S. Lawrence
Publication date
01-12-2018
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2018
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-018-6109-y

Other articles of this Issue 1/2018

BMC Public Health 1/2018 Go to the issue