Skip to main content
Have a personal or library account? Click to login
Explicit and Implicit Devaluation Effects of Food-Specific Response Inhibition Training Cover

Explicit and Implicit Devaluation Effects of Food-Specific Response Inhibition Training

Open Access
|Jan 2023

References

  1. Adams, R. C., Lawrence, N. S., Verbruggen, F., & Chambers, C. D. (2017). Training response inhibition to reduce food consumption: Mechanisms, stimulus specificity and appropriate training protocols. Appetite, 109, 1123. DOI: 10.1016/j.appet.2016.11.014
  2. Allen, M., Poggiali, D., Whitaker, K., Marshall, T., & Kievit, R. (2018). RainCloudPlots tutorials and codebase (v1.0) [Computer software]. Zenodo. DOI: 10.5281/zenodo.1402959
  3. Allen, M., Poggiali, D., Whitaker, K., Marshall, T., & Kievit, R. (2019). Raincloud plots: A multi-platform tool for robust data visualization [Version 1; peer review: 2 approved]. Wellcome Open Research, 4(63). DOI: 10.12688/wellcomeopenres.15191.1
  4. Allom, V., Mullan, B., & Hagger, M. (2016). Does inhibitory control training improve health behaviour? A meta-analysis. Health Psychology Review, 10(2), 168186. DOI: 10.1080/17437199.2015.1051078
  5. Best, M., Lawrence, N. S., Logan, G. D., McLaren, I. P. L., & Verbruggen, F. (2016). Should I stop or should I go? The role of associations and expectancies. Journal of Experimental Psychology: Human Perception and Performance, 42(1), 115137. DOI: 10.1037/xhp0000116
  6. Best, M., McLaren, I., & Verbruggen, F. (2019). Instructed and Acquired Contingencies in Response-Inhibition Tasks. Journal of Cognition, 2(1), 4. DOI: 10.5334/joc.53
  7. Blechert, J. (2019). Food-Pics_Extended—An Image Database for Experimental Research on Eating and Appetite: Additional Images, Normative Ratings and an Updated Review. Frontiers in Psychology, 10(307), 19. DOI: 10.3389/fpsyg.2019.00307
  8. 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, 4. DOI: 10.3389/fpsyg.2014.00617
  9. Bowditch, W. A., Verbruggen, F., & McLaren, I. P. L. (2016). Associatively mediated stopping: Training stimulus-specific inhibitory control. Learning & Behavior, 44(2), 162174. DOI: 10.3758/s13420-015-0196-8
  10. Chen, Z., Holland, R. W., Quandt, J., Dijksterhuis, A., & Veling, H. (2019). When mere action versus inaction leads to robust preference change. Journal of Personality and Social Psychology, 117(4), 721740. DOI: 10.1037/pspa0000158
  11. Chen, Z., Veling, H., de Vries, S. P., Bijvank, B. O., Janssen, I. M. C., Dijksterhuis, A., & Holland, R. W. (2018). Go/No-Go training changes food evaluation in both morbidly obese and normal-weight individuals. Journal of Consulting and Clinical Psychology, 86(12), 980990. DOI: 10.1037/ccp0000320
  12. 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), 16871701. DOI: 10.1037/xge0000236
  13. Chen, Z., Veling, H., Dijksterhuis, A., & Holland, R. W. (2018). Do impulsive individuals benefit more from food Go/No-Go training? Testing the role of inhibition capacity in the no-go devaluation effect. Appetite, 124, 99110. DOI: 10.1016/j.appet.2017.04.024
  14. Clark, L., Averbeck, B., Payer, D., Sescousse, G., Winstanley, C. A., & Xue, G. (2013). Pathological Choice: The Neuroscience of Gambling and Gambling Addiction. Journal of Neuroscience, 33(45), 1761717623. DOI: 10.1523/JNEUROSCI.3231-13.2013
  15. Davis, C., Patte, K., Levitan, R., Reid, C., Tweed, S., & Curtis, C. (2007). From motivation to behaviour: A model of reward sensitivity, overeating, and food preferences in the risk profile for obesity. Appetite, 48(1), 1219. DOI: 10.1016/j.appet.2006.05.016
  16. De Houwer, J. (2001). A Structural and Process Analysis of the Implicit Association Test. Journal of Experimental Social Psychology, 37(6), 443451. DOI: 10.1006/jesp.2000.1464
  17. Donders, F. C. (1969). On the speed of mental processes. Acta Psychologica, 30, 412431. DOI: 10.1016/0001-6918(69)90065-1
  18. Eagle, D. M., Bari, A., & Robbins, T. W. (2008). The neuropsychopharmacology of action inhibition: Cross-species translation of the stop-signal and go/no-go tasks. Psychopharmacology (Berl), 199(3), 439456. DOI: 10.1007/s00213-008-1127-6
  19. Fazio, R. H., & Olson, M. A. (2003). Implicit Measures in Social Cognition Research: Their Meaning and Use. Annual Review of Psychology, 54(1), 297327. DOI: 10.1146/annurev.psych.54.101601.145225
  20. Fazio, R. H., Sanbonmatsu, D. M., Powell, M. C., & Kardes, F. R. (1986). On the automatic activation of attitudes. Journal of Personality and Social Psychology, 50(2), 229238. DOI: 10.1037/0022-3514.50.2.229
  21. Grant, J. E., Derbyshire, K., Leppink, E., & Chamberlain, S. R. (2015). Obesity and gambling: Neurocognitive and clinical associations. Acta Psychiatrica Scandinavica, 131(5), 379386. DOI: 10.1111/acps.12353
  22. Greenwald, A. G., McGhee, D. E., & Schwartz, J. L. (1998). Measuring individual differences in implicit cognition: The implicit association test. Journal of Personality and Social Psychology, 74(6), 1464. DOI: 10.1037/0022-3514.74.6.1464
  23. Gronau, Q. F., Ly, A., & Wagenmakers, E.-J. (2018). Informed Bayesian T-Tests. ArXiv:1704.02479 [Stat]. http://arxiv.org/abs/1704.02479
  24. Guitart-Masip, M., Huys, Q. J. M., Fuentemilla, L., Dayan, P., Duzel, E., & Dolan, R. J. (2012). Go and no-go learning in reward and punishment: Interactions between affect and effect. Neuroimage, 62(1), 154166. DOI: 10.1016/j.neuroimage.2012.04.024
  25. Hermans, D., De Houwer, J., & Eelen, P. (2001). A time course analysis of the affective priming effect. Cognition and Emotion, 15(2), 143165. DOI: 10.1080/0269993004200033
  26. Herring, D. R., White, K. R., Jabeen, L. N., Hinojos, M., Terrazas, G., Reyes, S. M., Taylor, J. H., & Crites, S. L. (2013). On the automatic activation of attitudes: A quarter century of evaluative priming research. Psychological Bulletin, 139(5), 10621089. DOI: 10.1037/a0031309
  27. Hogarth, L., Dickinson, A., & Duka, T. (2010). The associative basis of cue-elicited drug taking in humans. Psychopharmacology, 208(3), 337351. DOI: 10.1007/s00213-009-1735-9
  28. Houben, K., & Giesen, J. C. A. H. (2018). Will work less for food: Go/No-Go training decreases the reinforcing value of high-caloric food. Appetite, 130, 7983. DOI: 10.1016/j.appet.2018.08.002
  29. Houben, K., Havermans, R. C., Nederkoorn, C., & Jansen, A. (2012). Beer à no-go: Learning to stop responding to alcohol cues reduces alcohol intake via reduced affective associations rather than increased response inhibition. Addiction, 107(7), 12801287. DOI: 10.1111/j.1360-0443.2012.03827.x
  30. Houben, K., & Jansen, A. (2011). Training inhibitory control. A recipe for resisting sweet temptations. Appetite, 56(2), 345349. DOI: 10.1016/j.appet.2010.12.017
  31. Houben, K., & Jansen, A. (2015). Chocolate equals stop: Chocolate-specific inhibition training reduces chocolate intake and go associations with chocolate. Appetite, 87, 318323. DOI: 10.1016/j.appet.2015.01.005
  32. Houben, K., Nederkoorn, C., Wiers, R. W., & Jansen, A. (2011). Resisting temptation: Decreasing alcohol-related affect and drinking behavior by training response inhibition. Drug and Alcohol Dependence, 116(1), 132136. DOI: 10.1016/j.drugalcdep.2010.12.011
  33. JASP Team. (2020). JASP (Version 0.14.1) [Computer software].
  34. Johannes, N., Buijzen, M., & Veling, H. (2021). Beyond inhibitory control training: Inactions and actions influence smartphone app use through changes in explicit liking. Journal of Experimental Psychology: General, 150(3), 431445. DOI: 10.1037/xge0000888
  35. 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, 1628. DOI: 10.1016/j.appet.2015.11.013
  36. Jones, A., Hardman, C. A., Lawrence, N., & Field, M. (2018). Cognitive training as a potential treatment for overweight and obesity: A critical review of the evidence. Appetite, 124, 5067. DOI: 10.1016/j.appet.2017.05.032
  37. Kees, J., Berry, C., Burton, S., & Sheehan, K. (2017). An analysis of data quality: Professional panels, student subject pools, and Amazon’s Mechanical Turk. Journal of Advertising, 46(1), 141155. DOI: 10.1080/00913367.2016.1269304
  38. Klauer, K. C., & Musch, J. (2003). Affective priming: Findings and theories. In J. Musch & K. C. Klauer (Eds.), The Psychology of Evaluation: Affective Processes in Cognition and Emotion. Lawrence Erlbaum.
  39. Lakens, D. (2013). Calculating and reporting effect sizes to facilitate cumulative science: A practical primer for t-Tests and ANOVAs. Frontiers in Psychology, 4. DOI: 10.3389/fpsyg.2013.00863
  40. Lamote, S., Hermans, D., Baeyens, F., & Eelen, P. (2004). An exploration of affective priming as an indirect measure of food attitudes. Appetite, 42(3), 279286. DOI: 10.1016/j.appet.2003.11.009
  41. Lappin, J. S., & Eriksen, C. W. (1966). Use of a delayed signal to stop a visual reaction-time response. Journal of Experimental Psychology, 72(6), 805811. DOI: 10.1037/h0021266
  42. Lawrence, N. S., O’Sullivan, J., Parslow, D., Javaid, M., Adams, R. C., Chambers, C. D., Kos, K., & Verbruggen, F. (2015). Training response inhibition to food is associated with weight loss and reduced energy intake. Appetite, 95, 1728. DOI: 10.1016/j.appet.2015.06.009
  43. Liu, H., Holland, R. W., Blechert, J., Quandt, J., & Veling, H. (2022). Devaluation of NoGo stimuli is both robust and fragile. Cognition & Emotion, 36(5), 876893. DOI: 10.1080/02699931.2022.2067132
  44. 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), 276291. DOI: 10.1037/0096-1523.10.2.276
  45. Masterton, S., Hardman, C. A., Boyland, E., Robinson, E., Makin, H. E., & Jones, A. (2022). Are commonly used lab-based measures of food value and choice predictive of self-reported real-world snacking? An ecological momentary assessment study. British Journal of Health Psychology (pp. 115). DOI: 10.1111/bjhp.12622
  46. Millisecond Software. (2016). Inquisit 5 [Computer software]. http://www.millisecond.com
  47. Millisecond Software. (2020). Inquisit 6 (6.1.1) [Computer software]. http://www.millisecond.com
  48. Newman, J. P., & Kosson, D. S. (1986). Passive avoidance learning in psychopathic and nonpsychopathic offenders. Journal of Abnormal Psychology, 95(3), 252256. DOI: 10.1037/0021-843X.95.3.252
  49. Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879903. DOI: 10.1037/0021-9010.88.5.879
  50. Porter, L., Bailey-Jones, C., Priudokaite, G., Allen, S., Wood, K., Stiles, K., Parvin, O., Javaid, M., Verbruggen, F., & Lawrence, N. S. (2018). From cookies to carrots; the effect of inhibitory control training on children’s snack selections. Appetite, 124, 111123. DOI: 10.1016/j.appet.2017.05.010
  51. Quandt, J., Holland, R. W., Chen, Z., & Veling, H. (2019). The role of attention in explaining the no-go devaluation effect: Effects on appetitive food items. Journal of Experimental Psychology: Human Perception and Performance, 45(8), 11191133. DOI: 10.1037/xhp0000659
  52. Quintana, D. S., & Williams, D. R. (2018). Bayesian alternatives for common null-hypothesis significance tests in psychiatry: A non-technical guide using JASP. BMC Psychiatry, 18(1), 178. DOI: 10.1186/s12888-018-1761-4
  53. R Core Team. (2017). R: A language and environment for statistical computing [Computer software]. https://www.R-project.org/
  54. Roefs, A., Herman, C. P., MacLeod, C. M., Smulders, F. T. Y., & Jansen, A. (2005). At first sight: How do restrained eaters evaluate high-fat palatable foods? Appetite, 44(1), 103114. DOI: 10.1016/j.appet.2004.08.001
  55. Roefs, A., Stapert, D., Isabella, L. A. S., Wolters, G., Wojciechowski, F., & Jansen, A. (2005). Early associations with food in anorexia nervosa patients and obese people assessed in the affective priming paradigm. Eating Behaviors, 6(2), 151163. DOI: 10.1016/j.eatbeh.2004.10.001
  56. Rothemund, Y., Preuschhof, C., Bohner, G., Bauknecht, H.-C., Klingebiel, R., Flor, H., & Klapp, B. F. (2007). Differential activation of the dorsal striatum by high-calorie visual food stimuli in obese individuals. NeuroImage, 37(2), 410421. DOI: 10.1016/j.neuroimage.2007.05.008
  57. Rouder, J. N., Speckman, P. L., Sun, D., Morey, R. D., & Iverson, G. (2009). Bayesian t-tests for accepting and rejecting the null hypothesis. Psychonomic Bulletin, 16, 225237. DOI: 10.3758/PBR.16.2.225
  58. RStudio Team. (2016). RStudio: Integrated development environment for R [Computer software]. RStudio, Inc. http://www.rstudio.com/
  59. Scholten, H., Granic, I., Chen, Z., Veling, H., & Luijten, M. (2019). Do smokers devaluate smoking cues after go/no-go training? Psychology & Health, 34(5), 609625. DOI: 10.1080/08870446.2018.1554184
  60. 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), 625630. DOI: 10.1038/nn.3673
  61. Schönbrodt, F. D., & Stefan, A. M. (2019). BFDA: An R package for Bayes factor design analysis (0.5.0) [Computer software]. https://github.com/nicebread/BFDA
  62. Schönbrodt, F. D., & Wagenmakers, E.-J. (2018). Bayes factor design analysis: Planning for compelling evidence. Psychonomic Bulletin & Review, 25, 128142. DOI: 10.3758/s13423-017-1230-y
  63. Schönbrodt, F. D., Wagenmakers, E.-J., Zehetleitner, M., & Perugini, M. (2017). Sequential hypothesis testing with Bayes factors: Efficiently testing mean differences. Psychological Methods, 22(2), 322339. DOI: 10.1037/met0000061
  64. Stefan, A. M., Gronau, Q. F., Schönbrodt, F. D., & Wagenmakers, E.-J. (2019). A tutorial on Bayes Factor Design Analysis using an informed prior. Behavior Research Methods, 51(3), 10421058. DOI: 10.3758/s13428-018-01189-8
  65. Stice, E., Figlewicz, D. P., Gosnell, B. A., Levine, A. S., & Pratt, W. E. (2013). The contribution of brain reward circuits to the obesity epidemic. Neuroscience and Biobehavioral Reviews, 37. DOI: 10.1016/j.neubiorev.2012.12.001
  66. 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, 1627. DOI: 10.1016/j.cpr.2016.06.005
  67. Stice, E., Yokum, S., Veling, H., Kemps, E., & Lawrence, N. S. (2017). Pilot test of a novel food response and attention training treatment for obesity: Brain imaging data suggest actions shape valuation. Behaviour Research and Therapy, 94, 6070. DOI: 10.1016/j.brat.2017.04.007
  68. 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 & Biobehavioral Reviews, 61, 132155. DOI: 10.1016/j.neubiorev.2015.12.008
  69. Tzavella, L., & Chambers, C. (2019). Go/no-go training & food priming effects [Pre-registered study protocol]. DOI: 10.17605/OSF.IO/C6Z53
  70. Tzavella, L., & Chambers, C. D. (2022). Response inhibition training and measures of explicit and implicit food valuation. Current Opinion in Behavioral Sciences, 48, 101230. DOI: 10.1016/j.cobeha.2022.101230
  71. Tzavella, L., Maizey, L., Lawrence, A. D., & Chambers, C. D. (2020). The affective priming paradigm as an indirect measure of food attitudes and related choice behaviour. Psychonomic Bulletin & Review, 27(6), 13971415. DOI: 10.3758/s13423-020-01764-1
  72. Veling, H., Aarts, H., & Stroebe, W. (2013a). Stop signals decrease choices for palatable foods through decreased food evaluation. Frontiers in Psychology, 4(875), 17. DOI: 10.3389/fpsyg.2013.00875
  73. Veling, H., Aarts, H., & Stroebe, W. (2013b). Using stop signals to reduce impulsive choices for palatable unhealthy foods. British Journal of Health Psychology, 18(2), 354368. DOI: 10.1111/j.2044-8287.2012.02092.x
  74. 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), 10131019. DOI: 10.1016/j.jesp.2008.03.004
  75. Veling, H., Lawrence, N. S., Chen, Z., van Koningsbruggen, G. M., & Holland, R. W. (2017). What Is Trained During Food Go/No-Go Training? A Review Focusing on Mechanisms and a Research Agenda. Current Addiction Reports, 4(1), 3541. DOI: 10.1007/s40429-017-0131-5
  76. 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, 102109. DOI: 10.1016/j.appet.2014.03.014
  77. Verbruggen, F., Best, M., Bowditch, W. A., Stevens, T., & McLaren, I. P. L. (2014). The inhibitory control reflex. Neuropsychologia, 65, 263278. DOI: 10.1016/j.neuropsychologia.2014.08.014
  78. Verbruggen, F., & Logan, G. D. (2008). Automatic and Controlled Response Inhibition: Associative Learning in the Go/No-Go and Stop-Signal Paradigms. Journal of Experimental Psychology: General, 137(4), 649672. DOI: 10.1037/a0013170
  79. Verhulst, F., Hermans, D., Baeyens, F., Spruyt, A., & Eelen, P. (2006). Determinants and predictive validity of direct and indirect measures of recently acquired food attitudes. Appetite, 46(2), 137143. DOI: 10.1016/j.appet.2005.11.004
  80. Versace, F., Engelmann, J. M., Jackson, E. F., Costa, V. D., Robinson, J. D., Lam, C. Y., Minnix, J. A., Brown, V. L., Wetter, D. W., & Cinciripini, P. M. (2011). Do brain responses to emotional images and cigarette cues differ? An fMRI study in smokers. European Journal of Neuroscience, 34(12), 20542063. DOI: 10.1111/j.1460-9568.2011.07915.x
  81. Waters, A. J., & Li, Y. (2008). Evaluating the utility of administering a reaction time task in an ecological momentary assessment study. Psychopharmacology, 197(1), 2535. DOI: 10.1007/s00213-007-1006-6
  82. Wentura, D., & Degner, J. (2010). A practical guide to sequential priming and related tasks. In B. Gawronski & B. K. Payne (Eds.), Handbook of implicit social cognition: Measurement theory, and applications (pp. 95116). Guilford Press.
  83. Wessel, J. R., O’Doherty, J. P., Berkebile, M. M., Linderman, D., & Aron, A. R. (2014). Stimulus devaluation induced by stopping action. Journal of Experimental Psychology: General, 143(6), 23162329. DOI: 10.1037/xge0000022
  84. Wessel, J. R., Tonnesen, A. L., & Aron, A. R. (2015). Stimulus devaluation induced by action stopping is greater for explicit value representations. Frontiers in Psychology, 6. DOI: 10.3389/fpsyg.2015.01640
DOI: https://doi.org/10.5334/joc.256 | Journal eISSN: 2514-4820
Language: English
Submitted on: May 10, 2022
Accepted on: Dec 19, 2022
Published on: Jan 17, 2023
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2023 Loukia Tzavella, Christopher D. Chambers, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.