Implicit process interventions in eating behaviour: a meta-analysis examining mediators and moderators

References

• Adams, R. C. (2014). Training response inhibition to reduce food consumption. Retrieved from http://orca.cf.ac.uk/70025/2/2015adamsphd.pdf
   Google Scholar
• Adriaanse, M. A., Vinkers, C. D. W., De Ridder, D. T. D., Hox, J. J., & De Wit, J. B. F. (2011). Do implementation intentions help to eat a healthy diet? A systematic review and meta-analysis of the empirical evidence. Appetite, 56(1), 183–193. doi: 10.1016/J.APPET.2010.10.012
   PubMed Web of Science ®Google Scholar
• Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. doi: 10.1016/0749-5978(91)90020-T
   Web of Science ®Google Scholar
• Allom, V., & Mullan, B. (2015). Two inhibitory control training interventions designed to improve eating behaviour and determine mechanisms of change. Appetite, 89, 282–290. doi: 10.1016/j.appet.2015.02.022
   PubMed Web of Science ®Google Scholar
• Allom, V., Mullan, B., & Hagger, M. S. (2016). Does inhibitory control training improve health behaviour? A meta-analysis. Health Psychology Review, 10(2), 168–186. doi: 10.1080/17437199.2015.1051078
   PubMed Web of Science ®Google Scholar
• Ames, S. L., Wurpts, I. C., Pike, J. R., MacKinnon, D. P., Reynolds, K. R., & Stacy, A. W. (2016). Self-regulation interventions to reduce consumption of sugar-sweetened beverages in adolescents. Appetite, 105, 652–662. doi:10.1016/j.appet.2016.06.036
   PubMed Web of Science ®Google Scholar
• Bargh, J. A. (1994). The four horsemen of automaticity: Awareness, intention, efficiency, and control in social cognition. In R. S. Wyer & T. K. Skrull (Eds.), Handbook of social cognition (pp. 1–40). Hills: Erlbaum.
   Google Scholar
• Becker, D., Jostmann, N. B., & Holland, R. W. (2017). Does approach bias modification really work in the eating domain? A commentary on Kakoschke et al. (2017). Addictive Behaviors. doi: 10.1016/j.addbeh.2017.02.025
   Web of Science ®Google Scholar
• Becker, D., Jostmann, N. B., Wiers, R. W., & Holland, R. W. (2015). Approach avoidance training in the eating domain: Testing the effectiveness across three single session studies. Appetite, 85, 58–65. doi:10.1016/j.appet.2014.11.017
   PubMed Web of Science ®Google Scholar
• Blechert, J., Meule, A., Busch, N. A., & Ohla, K. (2014). Food-pics: an image database for experimental research on eating and appetite. Frontiers in Psychology, 5, 1. doi:10.3389/fpsyg.2014.00617
   PubMed Web of Science ®Google Scholar
• Bongers, P., Houben, K., & Jansen, A. (2018). Double up! Examining the effects of adding inhibition training to food cue exposure in chocolate-loving female students. Appetite, 121, 154–162. doi:10.1016/j.appet.2017.11.096
   PubMed Web of Science ®Google Scholar
• Brignell, C., Griffiths, T., Bradley, B. P., & Mogg, K. (2009). Attentional and approach biases for pictorial food cues. Influence of external eating. Appetite, 52(2), 299–306. doi: 10.1016/j.appet.2008.10.007
   PubMed Web of Science ®Google Scholar
• Carbine, K. A., Christensen, E., LeCheminant, J. D., Bailey, B. W., Tucker, L. A., & Larson, M. J. (2017). Testing food-related inhibitory control to high- and low-calorie food stimuli: Electrophysiological responses to high-calorie food stimuli predict calorie and carbohydrate intake. Psychophysiology, 54(7), 982–997. doi: 10.1111/psyp.12860
   PubMed Web of Science ®Google Scholar
• Carter, E. C., Schönbrodt, F. D., Gervais, W. M., & Hilgard, J. (2018). Correcting for bias in psychology: A comparison of meta-analytic methods. Retrieved from osf.io/rf3ys
   Google Scholar
• Chen, Z., Veling, H., Dijksterhuis, A., & Holland, R. W. (2016). How does not responding to appetitive stimuli cause devaluation: Evaluative conditioning or response inhibition? Journal of Experimental Psychology: General, 145(12), 1687–1701. doi: 10.1037/xge0000236
   PubMed Web of Science ®Google Scholar
• Coburn, K. M., & Vevea, J. L. (2017). Estimating weight-function models for publication bias. Retrieved from https://cran.r-project.org/package=weightr
   Google Scholar
• Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Earlbaum Associates.
   Google Scholar
• DerSimonian, R., & Laird, N. (1986). Meta-analysis in clinical trials. Statistics in Medicine, 188, 177–188. doi: 10.1016/0197-2456(86)90046-2
   Google Scholar
• Dickson, H., Kavanagh, D. J., & MacLeod, C. (2016). The pulling power of chocolate: Effects of approach–avoidance training on approach bias and consumption. Appetite, 99, 46–51. doi:10.1016/j.appet.2015.12.026
   PubMed Web of Science ®Google Scholar
• Dreisbach, G., & Fischer, R. (2015). Conflicts as aversive signals for control adaptation. Current Directions in Psychological Science, 24(4), 255–260. doi: 10.1177/0963721415569569
   Web of Science ®Google Scholar
• Duval, S. (2005). The trim and fill method. In H. R. Rothstein, A. J. Sutton, & M. Borenstein (Eds.), Publication bias in meta-analysis: Prevention, assessment and adjustments (pp. 127–144). Chichester: John Wiley & Sons.
   Google Scholar
• Duval, S., & Tweedie, R. (2000). Trim and fill: A simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis, 56 biometrics §. International Biometric Society. Retrieved from http://www.jstor.org/stable/2676988
   PubMed Web of Science ®Google Scholar
• Eder, A. B., Elliot, A. J., & Harmon-Jones, E. (2013). Approach and avoidance motivation: Issues and advances. Emotion Review. doi: 10.1177/1754073913477990
   Web of Science ®Google Scholar
• Eder, A. B., Müsseler, J., & Hommel, B. (2012). The structure of affective action representations: Temporal binding of affective response codes. Psychological Research, 76(1), 111–118. doi: 10.1007/s00426-011-0327-6
   PubMed Web of Science ®Google Scholar
• Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997). Bias in meta-analysis detected by a simple, graphical test. BMJ, 315(7109), 629–634. doi: 10.1136/bmj.315.7109.629
   PubMed Web of Science ®Google Scholar
• Ferentzi, H., Scheibner, H., Wiers, R., Becker, E. S., Lindenmeyer, J., Beisel, S., & Rinck, M. (2018). Retraining of automatic action tendencies in individuals with obesity: A randomized controlled trial. Appetite, 126, 66–72. doi:10.1016/j.appet.2018.03.016
   PubMed Web of Science ®Google Scholar
• Fishbach, A., & Shah, J. Y. (2006). Self-control in action: Implicit dispositions toward goals and away from temptations. Journal of Personality and Social Psychology, 90(5), 820–832. doi:10.1037/0022-3514.90.5.820
   PubMed Web of Science ®Google Scholar
• Fishbein, M., & Ajzen, I. (2010). Predicting and changing behavior: The reasoned action approach. New York: Psychology Press, Taylor & Francis. doi: 10.4324/9780203937082
   Google Scholar
• Folkvord, F., Veling, H., & Hoeken, H. (2016). Targeting implicit approach reactions to snack food in children: Effects on intake. Health Psychology, 35(8), 919–922. doi:10.1037/hea0000365
   PubMed Web of Science ®Google Scholar
• Friese, M., & Hofmann, W. (2009). Control me or I will control you: Impulses, trait self-control, and the guidance of behavior. Journal of Research in Personality, 43(5), 795–805. doi: 10.1016/j.jrp.2009.07.004
   Web of Science ®Google Scholar
• Gardner, B., Abraham, C., Lally, P., & de Bruijn, G. J. (2012). Towards parsimony in habit measurement: Testing the convergent and predictive validity of an automaticity subscale of the self-report habit index. International Journal of Behavioral Nutrition and Physical Activity, 9(1), 102. doi: 10.1186/1479-5868-9-102
   PubMed Web of Science ®Google Scholar
• Greenwald, A. G., Mcghee, D. E., & Schwartz, J. L. K. (1998). Measuring individual differences in implicit cognition: The implicit association test. Journal of Personality and Social Psychology, 74, 1464–1480. Retrieved from http://faculty.fortlewis.edu/burke_b/Senior/BLINKreplication/IAT.pdf
   PubMed Web of Science ®Google Scholar
• Greenwald, A. G., Poehlman, T. A., Uhlmann, E. L., & Banaji, M. R. (2009). Understanding and using the implicit association test: III. Meta-analysis of predictive validity. Journal of Personality and Social Psychology, 97(1), 17–41. doi: 10.1037/a0015575
   PubMed Web of Science ®Google Scholar
• Hagger, M. S., Trost, N., Keech, J., Chan, D. K. C., & Hamilton, K. (2017). Predicting sugar consumption: Application of an integrated dual-process, dual-phase model. Appetite. doi: 10.1016/j.appet.2017.04.032
   Web of Science ®Google Scholar
• Hahn, A., & Gawronski, B. (2017). Implicit social cognition. In J. T. Wixted (Ed.), The Stevens’ handbook of experimental psychology and cognitive neuroscience (4th ed., pp. 395–427). New York, NY: Wiley. doi: 10.1016/B978-0-08-097086-8.24066-X
   Google Scholar
• Havermans, R. C., Giesen, J. C. A. H., Houben, K., & Jansen, A. (2011). Weight, gender, and snack appeal. Eating Behaviors, 12(2), 126–130. doi: 10.1016/j.eatbeh.2011.01.010
   PubMed Web of Science ®Google Scholar
• Higgins, J. P., Deeks, J., & Altman, D. (2011). Chapter 16: Special topics in statistics. In J. P. T. Higgins & S. Green (Eds.), Cochrane handbook for systematic reviews of interventions ( Version 5.). The Cochrane Collaboration. Retrieved from www.handbook.cochrane.org
   Google Scholar
• Higgins, J. P., & Thompson, S. G. (2002). Quantifying heterogeneity in a meta-analysis. Statistics in Medicine, 21(11), 1539–1558. doi: 10.1002/sim.1186
   PubMed Web of Science ®Google Scholar
• Hill, J. O., Catenacci, V., & Wyatt, H. R. (2005). Obesity: Overview of an epidemic. Psychiatric Clinics of North America, 28, 1–23. doi: 10.1016/j.psc.2004.09.010
   PubMed Web of Science ®Google Scholar
• Hofmann, W., Adriaanse, M., Vohs, K. D., & Baumeister, R. F. (2014). Dieting and the self-control of eating in everyday environments: An experience sampling study. British Journal of Health Psychology, 19(3), 523–539. doi: 10.1111/bjhp.12053
   PubMed Web of Science ®Google Scholar
• Hofmann, W., De Houwer, J., Perugini, M., Baeyens, F., & Crombez, G. (2010). Evaluative conditioning in humans: A meta-analysis. Psychological Bulletin, 136(3), 390–421. doi:10.1037/a0018916
   PubMed Web of Science ®Google Scholar
• Hofmann, W., & Friese, M. (2008). Impulses got the better of me: Alcohol moderates the influence of implicit attitudes toward food cues on eating behavior. Journal of Abnormal Psychology, 117(2), 420–427. doi: 10.1037/0021-843X.117.2.420
   PubMed Web of Science ®Google Scholar
• Hofmann, W., Friese, M., & Roefs, A. (2009). Three ways to resist temptation: The independent contributions of executive attention, inhibitory control, and affect regulation to the impulse control of eating behavior. Journal of Experimental Social Psychology, 45(2), 431–435. doi: 10.1016/j.jesp.2008.09.013
   Web of Science ®Google Scholar
• Hofmann, W., Gschwendner, T., Friese, M., Wiers, R. W., & Schmitt, M. (2008). Working memory capacity and self-regulatory behavior: Toward an individual differences perspective on behavior determination by automatic versus controlled processes. Journal of Personality and Social Psychology, 95(4), 962–977. doi: 10.1037/a0012705
   PubMed Web of Science ®Google Scholar
• Hollands, G. J., Marteau, T. M., Fletcher, P. C., Hollands, G. J., Marteau, T. M., & Non, P. C. F. (2016). Non-conscious processes in changing health- related behaviour: A conceptual analysis and framework. Health Psychology Review, 7199, 14. doi: 10.1080/17437199.2015.1138093
   Google Scholar
• Hollands, G. J., Prestwich, A., & Marteau, T. M. (2011). Using aversive images to enhance healthy food choices and implicit attitudes: An experimental test of evaluative conditioning. Health Psychology, 30(2), 195–203. doi: 10.1037/a0022261
   PubMed Web of Science ®Google Scholar
• Houben, K., & Jansen, A. (2011). Training inhibitory control. A recipe for resisting sweet temptations. Appetite, 56(2), 345–349. doi:10.1016/j.appet.2010.12.017
   PubMed Web of Science ®Google Scholar
• 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
   PubMed Web of Science ®Google Scholar
• Huedo-Medina, T. B., Sánchez-Meca, J., Marín-Martínez, F., & Botella, J. (2006). Assessing heterogeneity in meta-analysis: Q statistic or I2 index? Psychological Methods, 11(2), 193–206. doi: 10.1037/1082-989X.11.2.193
   PubMed Web of Science ®Google Scholar
• Jones, A., Di Lemma, L. C.G., Robinson, E., Christiansen, P., Nolan, S., Tudur-Smith, C., & Field, M. (2016). Inhibitory control training for appetitive behaviour change: A meta-analytic investigation of mechanisms of action and moderators of effectiveness. Appetite, 97, 16–28. doi:10.1016/j.appet.2015.11.013
   PubMed Web of Science ®Google Scholar
• Jones, A., Di Lemma, L. C. G. G., Robinson, E., Christiansen, P., Nolan, S., Tudur-Smith, C., & Field, M. (2016). Inhibitory control training for appetitive behaviour change: A meta-analytic investigation of mechanisms of action and moderators of effectiveness. Appetite, 97, 16–28. doi: 10.1016/j.appet.2015.11.013
   PubMed Web of Science ®Google Scholar
• Jones, A., Hardman, C. A., Lawrence, N., & Field, M. (2017, May). Cognitive training as a potential treatment for overweight and obesity: A critical review of the evidence. Appetite. doi: 10.1016/j.appet.2017.05.032
   Web of Science ®Google Scholar
• Jones, A., McGrath, E., Robinson, E., Houben, K., Nederkoorn, C., & Field, M. (2018). A randomized controlled trial of inhibitory control training for the reduction of alcohol consumption in problem drinkers. Journal of Consulting and Clinical Psychology, 86(12), 991–1004. doi: 10.1037/ccp0000312
   PubMed Web of Science ®Google Scholar
• Kakoschke, N., Kemps, E., & Tiggemann, M. (2015). Combined effects of cognitive bias for food cues and poor inhibitory control on unhealthy food intake. Appetite, 87, 358–364. doi: 10.1016/j.appet.2015.01.004
   PubMed Web of Science ®Google Scholar
• Kakoschke, N., Kemps, E., & Tiggemann, M. (2017a). Approach bias modification training and consumption: A review of the literature. Addictive Behaviors, 64, 21–28. doi: 10.1016/j.addbeh.2016.08.007
   PubMed Web of Science ®Google Scholar
• Kakoschke, N., Kemps, E., & Tiggemann, M. (2017b). Impulsivity moderates the effect of approach bias modification on healthy food consumption. Appetite, 117, 117–125. doi: 10.1016/j.appet.2017.06.019
   PubMed Web of Science ®Google Scholar
• Kawakami, K., Phills, C. E., Steele, J. R., & Dovidio, J. F. (2007). (Close) distance makes the heart grow fonder: Improving implicit racial attitudes and interracial interactions through approach behaviors. Journal of Personality and Social Psychology, 92(6), 957–971. doi: 10.1037/0022-3514.92.6.957
   PubMed Web of Science ®Google Scholar
• Keatley, D., Clarke, D. D., & Hagger, M. S. (2012). Investigating the predictive validity of implicit and explicit measures of motivation on condom use, physical activity and healthy eating. Psychology & Health, 27(5), 550–569. doi: 10.1080/08870446.2011.605451
   PubMed Web of Science ®Google Scholar
• Kemps, E., & Tiggemann, M. (2014). Approach bias for food cues in obese individuals. Psychology & Health, 0446, 1–25. doi: 10.1080/08870446.2014.974605
   Google Scholar
• Kemps, E., Tiggemann, M., & Hollitt, S. (2014). Biased attentional processing of food cues and modification in obese individuals. Health Psychology, 33(11), 1391–1401. doi: 10.1037/hea0000069
   PubMed Web of Science ®Google Scholar
• Lakens, D. (2013). Calculating and reporting effect sizes to facilitate cumulative science: A practical primer for t-tests and ANOVAs. Frontiers in Psychology, 4, 863. doi: 10.3389/fpsyg.2013.00863
   PubMed Web of Science ®Google Scholar
• Lally, P., & Gardner, B. (2013, May). Promoting habit formation. Health Psychology Review. doi: 10.1080/17437199.2011.603640
   Web of Science ®Google Scholar
• Lawrence, N. S., O’Sullivan, J., Parslow, D., Javaid, M., Adams, R. C., Chambers, C. D., … Verbruggen, F. (2015). Training response inhibition to food is associated with weight loss and reduced energy intake. Appetite, 95, 17–28.
   PubMed Web of Science ®Google Scholar
• Lawrence, N. S., Verbruggen, F., Morrison, S., Adams, R. C., & Chambers, C. D. (2015). Stopping to food can reduce intake. Effects of stimulus-specificity and individual differences in dietary restraint. Appetite, 85, 91–103. doi:10.1016/j.appet.2014.11.006
   PubMed Web of Science ®Google Scholar
• Lebens, H., Roefs, A., Martijn, C., Houben, K., Nederkoorn, C., & Jansen, A. (2011). Making implicit measures of associations with snack foods more negative through evaluative conditioning. Eating Behaviors, 12(4), 249–253. doi: 10.1016/j.eatbeh.2011.07.001
   PubMed Web of Science ®Google Scholar
• Lender, A., Meule, A., Rinck, M., Brockmeyer, T., & Blechert, J. (2018). Measurement of food-related approach–avoidance biases: Larger biases when food stimuli are task relevant. Appetite, 125, 42–47. doi: 10.1016/j.appet.2018.01.032
   PubMed Web of Science ®Google Scholar
• Lin, P. Y., Wood, W., & Monterosso, J. (2016). Healthy eating habits protect against temptations. Appetite, 103, 432–440.
   PubMed Web of Science ®Google Scholar
• Loeber, S., Grosshans, M., Herpertz, S. C. S., Kiefer, F., & Herpertz, S. C. S. (2013). Hunger modulates behavioral disinhibition and attention allocation to food-associated cues in normal-weight controls. Appetite, 71, 32–39. doi: 10.1016/j.appet.2013.07.008
   PubMed Web of Science ®Google Scholar
• Logan, G. D., Cowan, W. B., & Davis, K. A. (1984). On the ability to inhibit simple and choice reaction time responses: A model and a method. Journal of Experimental Psychology: Human Perception and Performance, 10(2), 276–291. doi: 10.1037/0096-1523.10.2.276
   PubMed Web of Science ®Google Scholar
• Maas, J., Keijsers, G. P. J., Rinck, M., Tanis, J., & Becker, E. S. (2015). Does a Dieting Goal Affect Automatic Cognitive Processes and Their Trainability? Cognitive Therapy and Research, 39(3), 378–389. doi:10.1007/s10608-014-9658-0
   Web of Science ®Google Scholar
• Machulska, A., Zlomuzica, A., Rinck, M., Assion, H.-J., & Margraf, J. (2016). Approach bias modification in inpatient psychiatric smokers. Journal of Psychiatric Research, 76, 44–51. doi: 10.1016/j.jpsychires.2015.11.015
   PubMed Web of Science ®Google Scholar
• McEachan, R., Taylor, N., Harrison, R., Lawton, R., Gardner, P., & Conner, M. (2016). Meta-analysis of the reasoned action approach (RAA) to understanding health behaviors. Annals of Behavioral Medicine, 50(4), 592–612. doi: 10.1007/s12160-016-9798-4
   PubMed Web of Science ®Google Scholar
• Michie, S., Abraham, C., Whittington, C., McAteer, J., & Gupta, S. (2009). Effective techniques in healthy eating and physical activity interventions: A meta-regression. Health Psychology, 28(6), 690–701. doi: 10.1037/a0016136
   PubMed Web of Science ®Google Scholar
• Michie, S., Richardson, M., Johnston, M., Abraham, C., Francis, J., Hardeman, W., … Wood, C. E. (2013). The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: Building an international consensus for the reporting of behavior change interventions. Annals of Behavioral Medicine, 46(1), 81–95. doi: 10.1007/s12160-013-9486-6
   PubMed Web of Science ®Google Scholar
• Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & The PRISMA Group. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Medicine, 6(7), e1000097. doi: 10.1371/journal.pmed1000097
   PubMed Web of Science ®Google Scholar
• Nederkoorn, C., Houben, K., Hofmann, W., Roefs, A., & Jansen, A. (2010). Control yourself or just eat what you like? Weight gain over a year is predicted by an interactive effect of response inhibition and implicit preference for snack foods. Health Psychology, 29(4), 389–393. doi: 10.1037/a0019921
   PubMed Web of Science ®Google Scholar
• Porter, L., Bailey-Jones, C., Priudokaite, G., Allen, S., Wood, K., Stiles, K., & Parvin, O. (2018). From cookies to carrots; the effect of inhibitory control training on children's snack selections. Appetite, 124, 111–123. doi:10.1016/j.appet.2017.05.010
   PubMed Web of Science ®Google Scholar
• R Core Team. (2017). R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing. Retrieved from https://www.r-project.org/
   Google Scholar
• Rebar, A. L., Dimmock, J. A., Jackson, B., Rhodes, R. E., Kates, A., Starling, J., & Vandelanotte, C. (2016). A systematic review of the effects of non-conscious regulatory processes in physical activity. Health Psychology Review, 7199, 1–86. doi: 10.1080/17437199.2016.1183505
   Google Scholar
• Riley, R. D. (2009). Multivariate meta-analysis: The effect of ignoring within-study correlation. Journal of the Royal Statistical Society: Series A (Statistics in Society), 172(4), 789–811. doi: 10.1111/j.1467-985X.2008.00593.x
   Web of Science ®Google Scholar
• Riley, R. D., Abrams, K. R., Lambert, P. C., Sutton, A. J., & Thompson, J. R. (2007). An evaluation of bivariate random-effects meta-analysis for the joint synthesis of two correlated outcomes. Statistics in Medicine, 26(1), 78–97. doi: 10.1002/sim.2524
   PubMed Web of Science ®Google Scholar
• Riley, R. D., Abrams, K. R., Sutton, A. J., Lambert, P. C., & Thompson, J. R. (2007). Bivariate random-effects meta-analysis and the estimation of between-study correlation. BMC Medical Research Methodology, 7, 3. doi: 10.1186/1471-2288-7-3
   PubMed Web of Science ®Google Scholar
• Schonberg, T., Bakkour, A., Hover, A. M., Mumford, J. A., Nagar, L., Perez, J., & Poldrack, R. A. (2014). Changing value through cued approach: An automatic mechanism of behavior change. Nature Neuroscience, 17(4), 625–630. doi: 10.1038/nn.3673
   PubMed Web of Science ®Google Scholar
• Schumacher, S. E., Kemps, E., & Tiggemann, M. (2016). Bias modification training can alter approach bias and chocolate consumption. Appetite, 96, 219–224. doi: 10.1016/j.appet.2015.09.014
   PubMed Web of Science ®Google Scholar
• Sharbanee, J. M., Hu, L., Stritzke, W. G. K., Wiers, R. W., Rinck, M., & MacLeod, C. (2014). The effect of approach/avoidance training on alcohol consumption is mediated by change in alcohol action tendency. PLoS ONE, 9(1), e85855. doi: 10.1371/journal.pone.0085855
   PubMed Web of Science ®Google Scholar
• Shaw, J. A., Forman, E. M., Espel, H. M., Butryn, M. L., Herbert, J. D., Lowe, M. R., & Nederkoorn, C. (2016). Can evaluative conditioning decrease soft drink consumption? Appetite, 105, 60–70. doi:10.1016/j.appet.2016.05.016
   PubMed Web of Science ®Google Scholar
• Stice, E., Lawrence, N. S., Kemps, E., & Veling, H. (2016). Training motor responses to food: A novel treatment for obesity targeting implicit processes. Clinical Psychology Review, 49, 16–27. doi: 10.1016/j.cpr.2016.06.005
   PubMed Web of Science ®Google Scholar
• Strack, F., & Deutsch, R. (2004). Reflective and impulsive determinants of social behavior. Personality and Social Psychology Review, 8(3), 220–247. doi: 10.1207/s15327957pspr0803_1
   PubMed Web of Science ®Google Scholar
• Thornton, A., & Lee, P. (2000). Publication bias in meta-analysis: Its causes and consequences. Journal of Clinical Epidemiology, 53, 207–216. Retrieved from https://www.jclinepi.com/article/S0895-4356(99)00161-4/pdf
   PubMed Web of Science ®Google Scholar
• Turton, R., Bruidegom, K., Cardi, V., Hirsch, C. R., & Treasure, J. (2016). Novel methods to help develop healthier eating habits for eating and weight disorders: A systematic review and meta-analysis. Neuroscience and Biobehavioral Reviews, 61, 132–155. doi: 10.1016/j.neubiorev.2015.12.008
   PubMed Web of Science ®Google Scholar
• van Koningsbruggen, G. M., Veling, H., Stroebe, W., & Aarts, H. (2014). Comparing two psychological interventions in reducing impulsive processes of eating behaviour: Effects on self-selected portion size. British Journal of Health Psychology, 19(4), 767–782. doi: 10.1111/bjhp.12075
   PubMed Web of Science ®Google Scholar
• van’t Riet, J., Sijtsema, S. J., Dagevos, H., & de Bruijn, G. J. (2011). The importance of habits in eating behaviour. An overview and recommendations for future research. Appetite. doi: 10.1016/j.appet.2011.07.010
   PubMed Web of Science ®Google Scholar
• Veenstra, E. M., & de Jong, P. J. (2012). Attentional bias in restrictive eating disorders. Stronger attentional avoidance of high-fat food compared to healthy controls? Appetite, 58(1), 133–140. doi: 10.1016/J.APPET.2011.09.014
   PubMed Web of Science ®Google Scholar
• Veling, H., Aarts, H., & Papies, E. K. (2011). Using stop signals to inhibit chronic dieters’ responses toward palatable foods. Behaviour Research and Therapy, 49(11), 771–780. doi:10.1016/j.brat.2011.08.005
   PubMed Web of Science ®Google Scholar
• Veling, H., Aarts, H., & Stroebe, W. (2013). Using stop signals to reduce impulsive choices for palatable unhealthy foods. British Journal of Health Psychology, 18(2), 354–368. doi: 10.1111/j.2044-8287.2012.02092.x
   PubMed Web of Science ®Google Scholar
• Veling, H., Holland, R. W., & van Knippenberg, A. (2008). When approach motivation and behavioral inhibition collide: Behavior regulation through stimulus devaluation. Journal of Experimental Social Psychology, 44(4), 1013–1019. doi: 10.1016/j.jesp.2008.03.004
   Web of Science ®Google Scholar
• Veling, H., van Koningsbruggen, G. M. 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
   PubMed Web of Science ®Google Scholar
• Verbeken, S., Braet, C., Naets, T., Houben, K., & Boendermaker, W. (2018). Computer training of attention and inhibition for youngsters with obesity: A pilot study. Appetite, 123, 439–447. doi:10.1016/j.appet.2017.12.029
   PubMed Web of Science ®Google Scholar
• Verbruggen, F., & Logan, G. D. (2008). Response inhibition in the stop-signal paradigm. Trends in Cognitive Sciences, 12(11), 418–424. doi: 10.1016/J.TICS.2008.07.005
   PubMed Web of Science ®Google Scholar
• Verbruggen, F., & Logan, G. D. (2009). Automaticity of cognitive control: Goal priming in response-inhibition paradigms. Journal of Experimental Psychology: Learning, Memory, and Cognition, 35(5), 1381–1388. doi: 10.1037/a0016645
   PubMed Web of Science ®Google Scholar
• Vevea, J. L., & Hedges, L. V. (1995). A general linear model for estimating effect size in the presence of publication bias. Psychometrika, 60(3), 419–435. doi: 10.1007/BF02294384
   Web of Science ®Google Scholar
• Viechtbauer, W. (2010). Conducting meta-analyses in R with the metafor package. Journal of Statistical Software, 36(3), 1–48. doi: 10.1103/PhysRevB.91.121108
   Web of Science ®Google Scholar
• Vilà, I., Carrero, I., & Redondo, R. (2017). Reducing fat intake using implementation intentions: A meta-analytic review. British Journal of Health Psychology, 22(2), 281–294. doi: 10.1111/bjhp.12230
   PubMed Web of Science ®Google Scholar
• Wang, Y., Wang, G., Zhang, D., Wang, L., Cui, X., Zhu, J., & Fang, Y. (2017). Learning to dislike chocolate: Conditioning negative attitudes toward chocolate and its effect on chocolate consumption. Frontiers in Psychology, 8, 1468. doi: 10.3389/fpsyg.2017.01468
   PubMed Web of Science ®Google Scholar
• Warschburger, P., Gmeiner, M., Morawietz, M., & Rinck, M. (2018). Evaluation of an approach-avoidance training intervention for children and adolescents with obesity: A randomized placebo-controlled prospective trial. European Eating Disorders Review, 26(5), 472–482. doi:10.1002/erv.v26.5
   PubMed Web of Science ®Google Scholar
• Werthmann, J., Jansen, A., & Roefs, A. (2015). Worry or craving? A selective review of evidence for food-related attention biases in obese individuals, eating-disorder patients, restrained eaters and healthy samples. Proceedings of the Nutrition Society, 74, 99–114. doi: 10.1017/S0029665114001451
   PubMed Web of Science ®Google Scholar
• Westerterp, K. R., & Goris, A. H. C. (2002). Validity of the assessment of dietary intake: Problems of misreporting. Current Opinion in Clinical Nutrition and Metabolic Care, 5(5), 489–493. doi: 10.1097/00075197-200209000-00006
   PubMed Web of Science ®Google Scholar
• Wiers, R. W., Eberl, C., Rinck, M., Becker, E. S., & Lindenmeyer, J. (2011). Retraining automatic action tendencies changes alcoholic patients’ approach bias for alcohol and improves treatment outcome. Psychological Science, 22(4), 490–497. doi: 10.1177/0956797611400615
   PubMed Web of Science ®Google Scholar
• Wiers, R. W., Gladwin, T. E., Hofmann, W., Salemink, E., & Ridderinkhof, K. R. (2013). Cognitive bias modification and cognitive control training in Addiction and related Psychopathology. Clinical Psychological Science, 1(2), 192–212. doi: 10.1177/2167702612466547
   Google Scholar
• World Health Organization. (2015). WHO; Overweight and obesity. Retrieved from http://www.who.int/gho/ncd/risk_factors/overweight/en/
   Google Scholar
• Woud, M. L., Becker, E. S., & Rinck, M. (2008). Implicit evaluation bias induced by approach and avoidance. Cognition and Emotion, 22(6), 1187–1197. doi: 10.1080/02699930801906843
   Web of Science ®Google Scholar