Supplementary material for <G. Kong et al.> <Re-training automatic action tendencies to approach cigarettes among adolescent smokers: a pilot study> <The American Journal of Drug and Alcohol Abuse> <2015> Data preparation Following a standard procedure in bias assessment tasks (see 1,2–5), we removed reaction times (RTs) below 200 ms, over 2000 ms and more than 3 SD above and below the mean on the SAAT to correct for outliers. Approximately, 5.3% of American data and 5.5% of Dutch data were removed, which is within the normal range (1–8%; 6–8). The average RT accuracy of the analytic sample was 92% (SD = 71%). Internal reliability of the S-AAT at baseline was examined separately by site and image type by calculating the Cronbach’s α using the bias scores for each image. Reliability of the smoking bias (20 items, American: α = 0.57; Dutch: α = 0.53) and neutral bias (20 items, American: α = 0.54, Dutch: α = 0.21) was fairly poor, but was in line with previous research (9) and was not unusual for tests assessing cognitive bias using reaction-time based assessments (10,11). Supplementary Table 1. Repeated-measures ANOVA of smoking and neutral approach tendencies/biases at baseline and threemonth follow up as a function of treatment condition (treatment vs. sham) and site (USA vs. NL), separated by baseline smoking bias (approach vs. avoidance). Between sbjects Treatment Condition (treatment vs. sham) Site (USA vs. NL) Within subjects Smoke Bias Score Smoke Bias × Site Smoke Bias × Treatment Condition Neutral Bias Score Neutral Bias × Site Neutral Bias × Treatment Condition Smoking Approach Bias (n = 17) F p η2 Smoking Avoidance Bias (n = 18) F p η2 0.20 3.72 0.66 0.08 0.02 0.22 0.05 9.98 0.82 0.007 0.004 0.42 4.71 1.27 0.19 0.12 1.86 0.09 0.05 0.28 0.67 0.74 0.20 0.77 0.27 0.09 0.01 0.01 0.13 0.01 2.18 4.55 0.20 3.19 1.43 0.02 0.16 0.05 0.66 0.10 0.25 0.89 0.14 0.25 0.01 0.19 0.09 0.002 References 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. Cousijn J, Goudriaan AE, Wiers RW. Reaching out toward cannabis: Approach-bias in heavy cannabis users predicts changes in cannais use. Addiction 2011;106:1667–1674. Mogg K, Field M, Bradley B. Attentional and approach biases for smoking cues in smokers: an investigation of competing theoretical views of addiction. Psychopharmacology 2005;180:333–341. Bradley BP, Mogg K, Wright T, Field M. Attentional bias in drug dependence: vigilance for cigarette-related cues in smokers. Psychol Addict Behav 2003;17:66–72. Mogg K, Bradley BP, Field M, De Houwer J. Eye movements to smoking-related pictures in smokers: relationship between attentional biases and implicit and explicit measures of stimulus valence. Addiction 2003;98:825–836. Watson P, de Wit S, Cousijn J, Hommel B, Wiers RW. Motivational mechanisms underlying the approach bias to cigarettes. J Experim Soc Psychopathol 2013;4:250–262. Christiansen P, Cole JC, Field M. Ego depletion increases ad-lib alcohol consumption: Investigating cognitive mediators and moderators. Exp Clin Psychopharm 2012;20:118– 128. Field M, Caren R, Fernie G, De Houwer J. Alcohol approach tendencies in heavy drinkers: Comparison of effects in a relevant stimulus-response compatibility task and an approach/avoidance Simon task. Psychol Addict Behav 2011;25:697–701. Kersbergen I, Woud ML, Field M. The validity of different measures of automatic alcohol action tendencies. Psychol Addict Behav 2014. Cousijn J, Luijten M, Wiers RW. Mechanisms underlying alcohol-approach action tendencies: the role of emotional primes and drinking motives. Front Psychiatry 2014;5:44. Ataya AF, Adams S, E. M, Cooper RM, Attwood AS, Munafo MR. Internal reliability of measures of substance-related cognitive bias. Drug Alcohol Depen 2012;121:148–151. Brown HM, Eley TC, Broeren S, MacLeod C, Rinck M, Hadwin JA, Lester KJ. Psychometric properties of reaction time based experimental paradigms measuring anxiety-related information-processing biases in children. J Anxiety Disord 2014;28:97– 107.