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Targeting binge eating in bulimia nervosa and binge eating disorder using inhibitory control training and implementation intentions: a feasibility trial

Published online by Cambridge University Press:  27 July 2020

Rayane Chami
Affiliation:
Section of Eating Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
Valentina Cardi*
Affiliation:
Section of Eating Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK Department of General Psychology, University of Padova, Padova, Italy
Natalia Lawrence
Affiliation:
School of Psychology, University of Exeter, Exeter, UK
Pamela MacDonald
Affiliation:
Section of Eating Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
Katie Rowlands
Affiliation:
Section of Eating Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
John Hodsoll
Affiliation:
Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
Janet Treasure
Affiliation:
Section of Eating Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
*
Author for correspondence: Valentina Cardi, E-mail: valentina.cardi@kcl.ac.uk

Abstract

Background

This trial examined the feasibility, acceptability, and effect sizes of clinical outcomes of an intervention that combines inhibitory control training (ICT) and implementation intentions (if-then planning) to target binge eating and eating disorder psychopathology.

Methods

Seventy-eight adult participants with bulimia nervosa or binge eating disorder were randomly allocated to receive food-specific, or general, ICT and if-then planning for 4 weeks.

Results

Recruitment and retention rates at 4 weeks (97.5% and 79.5%, respectively) met the pre-set cut-offs. The pre-set adherence to the intervention was met for the ICT sessions (84.6%), but not for if-then planning (53.4%). Binge eating frequency and eating disorder psychopathology decreased in both intervention groups at post-intervention (4 weeks) and follow-up (8 weeks), with moderate to large effect sizes. There was a tendency for greater reductions in binge eating frequency and eating disorders psychopathology (i.e. larger effect sizes) in the food-specific intervention group. Across both groups, ICT and if-then planning were associated with small-to-moderate reductions in high energy-dense food valuation (post-intervention), food approach (post-intervention and follow-up), anxiety (follow-up), and depression (follow-up). Participants indicated that both interventions were acceptable.

Conclusions

The study findings reveal that combined ICT and if-then planning is associated with reductions in binge eating frequency and eating disorder psychopathology and that the feasibility of ICT is promising, while improvements to if-then planning condition may be needed.

Type
Original Article
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press

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Footnotes

*

Joint first authors.

References

Adriaanse, M. A., Vinkers, C. D., De Ridder, D. T., Hox, J. J., & De Wit, J. B. (2011). Do implementation intentions help to eat a healthy diet? A systematic review and meta-analysis of the empirical evidence. Appetite, 56(1), 183193.10.1016/j.appet.2010.10.012CrossRefGoogle ScholarPubMed
Allom, V., Mullan, B., & Hagger, M. (2016). Does inhibitory control training improve health behaviour? A meta-analysis. Health Psychology Review, 10(2), 168186.CrossRefGoogle ScholarPubMed
Aulbach, M., Knittle, K. P., van Beurden, S., Haukkala, A., & Lawrence, N. (2020). Is more better and how much is enough? Dose-response relationships in app-based food Go/No-Go training. Preprint online: https://psyarxiv.com/nqax3/.Google Scholar
Boswell, R. G., & Kober, H. (2016). Food cue reactivity and craving predict eating and weight gain: A meta-analytic review. Obesity Reviews, 17(2), 159177.10.1111/obr.12354CrossRefGoogle ScholarPubMed
Camp, B., & Lawrence, N. S. (2019). Giving pork the chop: Response inhibition training to reduce meat intake. Appetite, 141, 104315. doi: 10.1016/j.appet.2019.06.007CrossRefGoogle ScholarPubMed
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.CrossRefGoogle ScholarPubMed
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, 16871701.CrossRefGoogle ScholarPubMed
Cohen, J. (1988). The effect size index: d. Statistical power analysis for the behavioral sciences, 2(1).Google Scholar
Davis, C. (2013). Compulsive overeating as an addictive behaviour: Overlap between food addiction and binge eating disorder. Current Obesity Reports, 2(2), 171178.CrossRefGoogle Scholar
Dawe, S., & Loxton, N. J. (2004). The role of impulsivity in the development of substance use and eating disorders. Neuroscience & Biobehavioral Reviews, 28(3), 343351.CrossRefGoogle ScholarPubMed
Eldridge, S. M., Chan, C. L., Campbell, M. J., Bond, C. M., Hopewell, S., Thabane, L., & Lancaster, G. A. (2016). CONSORT 2010 Statement: Extension to randomised pilot and feasibility trials. BMJ, 355, i5239.CrossRefGoogle ScholarPubMed
Fairburn, C. G. (2008). Cognitive behavior therapy and eating disorders. New York: Guilford Press.Google ScholarPubMed
Fernandez-Aranda, F., Jimenez-Murcia, S., Santamaría, J. J., Giner-Bartolomé, C., Mestre-Bach, G., Granero, R., … Konstantas, D. (2015). The use of videogames as complementary therapeutic tool for cognitive behavioral therapy in bulimia nervosa patients. Cyberpsychology, Behavior, and Social Networking, 18(12), 744751.CrossRefGoogle ScholarPubMed
First, M. B. (2014). Structured clinical interview for the DSM (SCID). In Cautin, R. L., & Lilienfeld, S. O. (Eds.), The Encyclopedia of Clinical Psychology (pp. 16). Hoboken, NJ: John Wiley & Sons, Inc.Google Scholar
Giel, K. E., Teufel, M., Junne, F., Zipfel, S., & Schag, K. (2017). Food-related impulsivity in obesity and binge eating disorder – a systematic update of the evidence. Nutrients, 9(11), 1170.10.3390/nu9111170CrossRefGoogle Scholar
Hay, P. (2013). A systematic review of evidence for psychological treatments in eating disorders: 2005–2012. International Journal of Eating Disorders, 46(5), 462469.CrossRefGoogle ScholarPubMed
Houben, K., & Giesen, J. C. (2018). Will work less for food: Go/No-Go training decreases the reinforcing value of high-caloric food. Appetite, 130, 7983.CrossRefGoogle ScholarPubMed
Houben, K., & Jansen, A. (2011). Training inhibitory control. A recipe for resisting sweet temptations. Appetite, 56(2), 345349.CrossRefGoogle ScholarPubMed
Houben, K., & Jansen, A. (2015). Chocolate equals stop. Chocolate-specific inhibition training reduces chocolate intake and go associations with chocolate. Appetite, 87, 318323.10.1016/j.appet.2015.01.005CrossRefGoogle Scholar
Hunot, C., Fildes, A., Croker, H., Llewellyn, C. H., Wardle, J., & Beeken, R. J. (2016). Appetitive traits and relationships with BMI in adults: Development of the adult eating behaviour questionnaire. Appetite, 105, 356363.CrossRefGoogle ScholarPubMed
Johnson, D., Deterding, S., Kuhn, K. A., Staneva, A., Stoyanov, S., & Hides, L. (2016). Gamification for health and wellbeing: A systematic review of the literature. Internet Interventions, 6, 89106.CrossRefGoogle ScholarPubMed
Jones, A., Di Lemma, L. C., 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.CrossRefGoogle ScholarPubMed
Julious, S. A. (2005). Sample size of 12 per group rule of thumb for a pilot study. Pharmaceutical Statistics: The Journal of Applied Statistics in the Pharmaceutical Industry, 4(4), 287291.CrossRefGoogle Scholar
Kakoschke, N., Hawker, C., Castine, B., de Courten, B., & Verdejo-Garcia, A. (2018). Smartphone-based cognitive bias modification training improves healthy food choice in obesity: A pilot study. European Eating Disorders Review, 26(5), 526532.CrossRefGoogle ScholarPubMed
Kliemann, N., Beeken, R. J., Wardle, J., & Johnson, F. (2016). Development and validation of the self-regulation of eating behaviour questionnaire for adults. International Journal of Behavioral Nutrition and Physical Activity, 13(1), 87.CrossRefGoogle ScholarPubMed
Kroenke, K., Spitzer, R. L., & Williams, J. B. (2001). The PHQ-9: Validity of a brief depression severity measure. Journal of General Internal Medicine, 16(9), 606613.CrossRefGoogle ScholarPubMed
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. https://doi.org/10.3389/fpsyg.2013.00863.CrossRefGoogle Scholar
Lancaster, G. A., Dodd, S., & Williamson, P. R. (2004). Design and analysis of pilot studies: Recommendations for good practice. Journal of Evaluation in Clinical Practice, 10(2), 307312.CrossRefGoogle ScholarPubMed
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, 1728.CrossRefGoogle ScholarPubMed
Lawrence, N. S., Van Beurden, S., Javaid, M., & Mostazir, M. M. (2018). Mass dissemination of web and smartphone-delivered food response inhibition training to reduce unhealthy snacking. Appetite, 130, 309.CrossRefGoogle Scholar
Manasse, S. M., Goldstein, S. P., Wyckoff, E., Forman, E. M., Juarascio, A. S., Butryn, M. L., … Nederkoorn, C. (2016). Slowing down and taking a second look: Inhibitory deficits associated with binge eating are not food-specific. Appetite, 196, 555559.CrossRefGoogle Scholar
Preuss, H., Pinnow, M., Schnicker, K., & Legenbauer, T. (2017). Improving inhibitory control abilities (ImpulsE) – a promising approach to treat impulsive eating? European Eating Disorders Review, 25, 533543. doi: doi: 10.1002/erv.2544CrossRefGoogle ScholarPubMed
Schag, K., Schönleber, J., Teufel, M., Zipfel, S., & Giel, K. (2013). Food-related impulsivity in obesity and binge eating disorder–a systematic review. Obesity Reviews, 14(6), 477495.CrossRefGoogle ScholarPubMed
Schmidt, U., Treasure, J., & Alexander, J. (2015). Getting better bite by bite: A survival kit for sufferers of bulimia nervosa and binge eating disorders. London and New York: Routledge.CrossRefGoogle Scholar
Sim, J., & Lewis, M. (2012). The size of a pilot study for a clinical trial should be calculated in relation to considerations of precision and efficiency. Journal of Clinical Epidemiology, 65(3), 301308.CrossRefGoogle ScholarPubMed
Smith, K. E., Mason, T. B., Johnson, J. S., Lavender, J. M., & Wonderlich, S. A. (2018). A systematic review of reviews of neurocognitive functioning in eating disorders: The state-of-the-literature and future directions. International Journal of Eating Disorders, 51(8), 798821.CrossRefGoogle ScholarPubMed
Smithson, M. (2001). Correct confidence intervals for various regression effect sizes and parameters: The importance of noncentral distributions in computing intervals. Educational and Psychological Measurement, 61(4), 605632.CrossRefGoogle Scholar
Spitzer, R. L., Kroenke, K., Williams, J. B., & Löwe, B. (2006). A brief measure for assessing generalized anxiety disorder: The GAD-7. Archives of Internal Medicine, 166(10), 10921097.CrossRefGoogle ScholarPubMed
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.CrossRefGoogle ScholarPubMed
Svaldi, J., Naumann, E., Trentowska, M., & Schmitz, F. (2014). General and food-specific inhibitory deficits in binge eating disorder. International Journal of Eating Disorders, 47(5), 534542.CrossRefGoogle ScholarPubMed
Ten Have, T. R., Normand, S. T., Marcus, S. M., Hendricks Brown, C., Lavori, P., & Duan, N. (2008). Intent-to-treat vs. non-intent-to-treat analyses under treatment non-adherence in mental health randomized trials. Psychiatric Annals, 38(12), 772783.10.3928/00485713-20081201-10CrossRefGoogle ScholarPubMed
Thabane, L., Hopewell, S., Lancaster, G. A., Bond, C. M., Coleman, C. L., Campbell, M. J., & Eldridge, S. M. (2016). Methods and processes for development of a CONSORT extension for reporting pilot randomized controlled trials. Pilot and Feasibility Studies, 2(1), 25.CrossRefGoogle ScholarPubMed
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.CrossRefGoogle ScholarPubMed
Turton, R., Nazar, B. P., Burgess, E. E., Lawrence, N. S., Cardi, V., Treasure, J., & Hirsch, C. R. (2018). To go or not to go: A proof of concept study testing food-specific inhibition training for women with eating and weight disorders. European Eating Disorders Review, 26(1), 1121.CrossRefGoogle ScholarPubMed
van Koningsbruggen, G. M., Veling, H., Stroebe, W., & Aarts, H. (2017). Comparing two psychological interventions in reducing impulsive processes of eating behaviour: Effects on self-selected portion size. British Journal of Health Psychology, 19, 767782.CrossRefGoogle Scholar
Veling, H., Aarts, H., & Stroebe, W. (2013). Stop signals decrease choices for palatable foods through decreased food evaluation. Frontiers in Psychology, 4, 875.CrossRefGoogle ScholarPubMed
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.CrossRefGoogle ScholarPubMed
Vilà, I., Carrero, I., & Redondo, R. (2017). Reducing fat intake using implementation intentions: A meta-analytic review. British Journal of Health Psychology, 22(2), 281294.CrossRefGoogle ScholarPubMed
Vos, T., & Mathers, C. D. (2000). The burden of mental disorders: A comparison of methods between the Australian burden of disease studies and the global burden of disease study. Bulletin of the World Health Organization, 78, 427438.Google ScholarPubMed
Wilson, G. T., Grilo, C. M., & Vitousek, K. M. (2007). Psychological treatment of eating disorders. American Psychologist, 62(3), 199.CrossRefGoogle ScholarPubMed
Wu, M., Hartmann, M., Skunde, M., Herzog, W., & Friederich, H. C. (2013). Inhibitory control in bulimic-type eating disorders: A systematic review and meta-analysis. PLoS One, 8(12), e83412.CrossRefGoogle ScholarPubMed
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