A community-based feasibility randomized controlled study to test food-specific inhibitory control training in people with disinhibited eating during COVID-19 in Italy

Valentina Cardi1,2, Valentina Meregalli3,4, Elisa Di Rosa2, Rossella Derrigo, Chiara Faustini2, Johanna Louise Keeler1, Angela Favaro3,4, Janet Treasure1, Natalia Lawrence5
1Section of Eating Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
2Department of General Psychology, University of Padova, Padua, Italy
3Department of Neurosciences, University of Padua, Padua, Italy
4Padua Neuroscience Center, University of Padua, Padua, Italy
5School of Psychology, University of Exeter, Exeter, UK

Tóm tắt

The aim of this study was to expand the evidence on the feasibility and impact of food-specific inhibitory control training in a community sample of people with disinhibited eating. Recruitment and data collection were conducted during the COVID-19 outbreak, in Italy. Ninety-four adult individuals with disinhibited eating were randomised to one of two conditions: App-based food-specific inhibitory control training or waiting list. Participants were assessed at baseline, end of intervention (2 weeks following baseline) and follow-up (one week later). The assessment measures included questionnaires about eating behaviour and mood. Seventy-three percent of the sample reported a diagnosis of binge eating disorder, and 20.4% a diagnosis of bulimia nervosa. Retention rates were 77% and 86% for the food-specific inhibitory control training and the waiting list conditions, respectively. Almost half of the participants allocated to the training condition completed the “recommended” dose of training (i.e., 10 or more sessions). Those in the training condition reported lower levels of wanting for high-energy dense foods (p < 0.05), a trend for lower levels of perceived hunger (p = 0.07), and lower levels of depression (p < 0.05). Binge eating symptoms, disinhibition, wanting for high-energy dense foods, stress and anxiety were significantly lower at end of intervention, compared to baseline (p < .05). Findings corroborated the feasibility of food-specific inhibitory control training, and its impact on high-energy dense foods liking. The study expands the evidence base for food-specific inhibitory control training by highlighting its impact on perceived hunger and depression. The mechanisms underlying these effects remain to be clarified. Level I, Evidence obtained from at least one properly designed randomized controlled trials; systematic reviews and meta-analyses; experimental studies.

Tài liệu tham khảo

van Hoeken D, Hoek HW (2020) Review of the burden of eating disorders: mortality, disability, costs, quality of life, and family burden. Curr Opin Psychiatry 33:521–527. https://doi.org/10.1097/YCO.0000000000000641 Södersten P, Brodin U, Sjöberg J, Zandian M, Bergh C (2019) Treatment outcomes for eating disorders in Sweden: data from the national quality registry. BMJ Open 9:. https://doi.org/10.1136/BMJOPEN-2018-024179 Frostad S, Danielsen YS, Rekkedal GA, Jevne C, Dalle Grave R, Rø Ø, Kessler U (2018) Implementation of enhanced cognitive behaviour therapy (CBT-E) for adults with anorexia nervosa in an outpatient eating-disorder unit at a public hospital. J Eat Disord 6:. https://doi.org/10.1186/S40337-018-0198-Y Jenkins PE, Morgan C, Houlihan C (2019) Outpatient CBT for underweight patients with eating disorders: effectiveness within a national health service (NHS) eating disorders service. Behav Cogn Psychother 47:217–229. https://doi.org/10.1017/S1352465818000449 Linardon J, Wade TD (2018) How many individuals achieve symptom abstinence following psychological treatments for bulimia nervosa? A meta-analytic review. Int J Eat Disord 51:287–294. https://doi.org/10.1002/EAT.22838 Taquet M, Geddes JR, Luciano S, Harrison PJ (2021) Incidence and outcomes of eating disorders during the COVID-19 pandemic. Br J Psychiatry. https://doi.org/10.1192/BJP.2021.105 di Renzo L, Gualtieri P, Pivari F, Soldati L, Attinà A, Cinelli G, Cinelli G, Leggeri C, Caparello G, Barrea L, Scerbo F, Esposito E, de Lorenzo A (2020) Eating habits and lifestyle changes during COVID-19 lockdown: an Italian survey. J Transl Med 18:. https://doi.org/10.1186/S12967-020-02399-5 Cecchetto C, Aiello M, Gentili C, Ionta S, Osimo SA (2021) Increased emotional eating during COVID-19 associated with lockdown, psychological and social distress. Appetite 160:. https://doi.org/10.1016/J.APPET.2021.105122 Cardi V, Albano G, Gentili C, Sudulich L (2021) The impact of emotion regulation and mental health difficulties on health behaviours during COVID19. J Psychiatr Res 143:409–415. https://doi.org/10.1016/J.JPSYCHIRES.2021.10.001 Nightingale BA, Cassin SE (2019) Disordered eating among individuals with excess weight: a review of recent research. Curr Obes Rep 8:112–127. https://doi.org/10.1007/S13679-019-00333-5 American Psychiatric Association (2013) Diagnostic and Statistical Manual of Mental Disorders. American Psychiatric Association Haedt-Matt AA, Keel PK, Racine SE, Burt SA, Hu JY, Boker S, Neale M, Klump KL (2014) Do emotional eating urges regulate affect? Concurrent and prospective associations and implications for risk models of binge eating. Int J Eat Disord 47:874–877. https://doi.org/10.1002/EAT.22247 Fairburn CG, Cooper Z, Shafran R (2003) Cognitive behaviour therapy for eating disorders: a “transdiagnostic” theory and treatment. Behav Res Ther 41:509–528. https://doi.org/10.1016/S0005-7967(02)00088-8 Racine SE, Horvath SA (2018) Emotion dysregulation across the spectrum of pathological eating: comparisons among women with binge eating, overeating, and loss of control eating. Eat Disord 26:13–25. https://doi.org/10.1080/10640266.2018.1418381 Schulte EM, Gearhardt AN (2021) Attributes of the food addiction phenotype within overweight and obesity. Eat Weight Disord 26:2043–2049. https://doi.org/10.1007/S40519-020-01055-7 Gearhardt AN, Corbin WR, Brownell KD (2009) Preliminary validation of the yale food addiction scale. Appetite 52:430–436. https://doi.org/10.1016/J.APPET.2008.12.003 Meule A, Kübler A (2012) Food cravings in food addiction: the distinct role of positive reinforcement. Eat Behav 13:252–255. https://doi.org/10.1016/J.EATBEH.2012.02.001 Joyner MA, Gearhardt AN, White MA (2015) Food craving as a mediator between addictive-like eating and problematic eating outcomes. Eat Behav 19:98–101. https://doi.org/10.1016/J.EATBEH.2015.07.005 Byrne ME, Shank LM, Altman DR, Swanson TN, Ramirez E, Moore NA, Rubin SG, LeMay-Russell S, Parker MN, Kaufman RE, Yang SB, Torres SL, Brady SM, Kelly NR, Tanofsky-Kraff M, Yanovski JA (2021) Inhibitory control and negative affect in relation to food intake among youth. Appetite 156:. https://doi.org/10.1016/J.APPET.2020.104858 van Malderen E, Kemps E, Verbeken S, Goossens L (2021) Food for mood: experimentally induced negative affect triggers loss of control over eating in adolescents with low inhibitory control. Int J Eat Disord 54:388–398. https://doi.org/10.1002/EAT.23422 Dohle S, Diel K, Hofmann W (2018) Executive functions and the self-regulation of eating behavior: a review. Appetite 124:4–9. https://doi.org/10.1016/J.APPET.2017.05.041 Lavagnino L, Arnone D, Cao B, Soares JC, Selvaraj S (2016) Inhibitory control in obesity and binge eating disorder: a systematic review and meta-analysis of neurocognitive and neuroimaging studies. Neurosci Biobehav Rev 68:714–726. https://doi.org/10.1016/J.NEUBIOREV.2016.06.041 Rosenbaum DL, White KS (2015) The relation of anxiety, depression, and stress to binge eating behavior. J Health Psychol 20:887–898. https://doi.org/10.1177/1359105315580212 Allom V, Mullan B, Hagger M (2016) Does inhibitory control training improve health behaviour? A meta-analysis. Health Psychol Rev 10:168–186. https://doi.org/10.1080/17437199.2015.1051078 Aulbach MB, Knittle K, Haukkala A (2019) Implicit process interventions in eating behaviour: a meta-analysis examining mediators and moderators. Health Psychol Rev 13:179–208. https://doi.org/10.1080/17437199.2019.1571933 Keeler JL, Chami R, Cardi V, Hodsoll J, Bonin E, MacDonald P, Treasure J, Lawrence N (2022) App-based food-specific inhibitory control training as an adjunct to treatment as usual in binge-type eating disorders: A feasibility trial. Appetite 168:. https://doi.org/10.1016/J.APPET.2021.105788 Chami R, Cardi V, Lawrence N, Macdonald P, Rowlands K, Hodsoll J, Treasure J (2020) Targeting binge eating in bulimia nervosa and binge eating disorder using inhibitory control training and implementation intentions: a feasibility trial. Psychol Med. https://doi.org/10.1017/S0033291720002494 Polivy J, Herman CP (2020) Overeating in Restrained and Unrestrained Eaters. Front Nutr 7:. https://doi.org/10.3389/FNUT.2020.00030 Lancaster GA, Dodd S, Williamson PR (2004) Design and analysis of pilot studies: recommendations for good practice. J Eval Clin Pract 10:307–312. https://doi.org/10.1111/J.2002.384.DOC.X 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. J Clin Epidemiol 65:301–308. https://doi.org/10.1016/J.JCLINEPI.2011.07.011 Lawrence NS, van Beurden S, Javaid M, Mostazir MM (2018) Mass dissemination of web and smartphone-delivered food response inhibition training to reduce unhealthy snacking. Appetite 130:309. https://doi.org/10.1016/J.APPET.2018.05.207 Gormally J, Black S, Daston S, Rardin D (1982) The assessment of binge eating severity among obese persons. Addict Behav 7:47–55. https://doi.org/10.1016/0306-4603(82)90024-7 Stunkard AJ, Messick S (1985) The three-factor eating questionnaire to measure dietary restraint, disinhibition and hunger. J Psychosom Res 29:71–83. https://doi.org/10.1016/0022-3999(85)90010-8 Henry JD, Crawford JR (2005) 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 44:227–239. https://doi.org/10.1348/014466505X29657 Blechert J, Meule A, Busch NA, Ohla K (2014) Food-pics: an image database for experimental research on eating and appetite. Front Psychol 5:. https://doi.org/10.3389/FPSYG.2014.00617 Bates D, Mächler M, Bolker B, Walker S (2015) Fitting Linear Mixed-Effects Models Using lme4. Journal of Statistical Software 67:. https://doi.org/10.18637/jss.v067.i01 Hartig F (2022) DHARMa: Residual Diagnostics for Hierarchical (Multi-Level / Mixed) Regression Models. R package version 0.4.5. http://florianhartig.github.io/DHARMa/ Barr DJ, Levy R, Scheepers C, Tily HJ (2013) Random effects structure for confirmatory hypothesis testing: keep it maximal. J Mem Lang 68:255–278. https://doi.org/10.1016/J.JML.2012.11.001 Hothorn T, Bretz F, Westfall P (2008) Simultaneous inference in general parametric models. Biom J 50:346–363. https://doi.org/10.1002/BIMJ.200810425 Marcus MD, Wing RR, Hopkins J (1988) Obese binge eaters: affect, cognitions, and response to behavioural weight control. J Consult Clin Psychol 56:433–439. https://doi.org/10.1037//0022-006X.56.3.433 Marchesini G, Cuzzolaro M, Mannucci E, Dalle Grave R, Gennaro M, Tomasi F, Barantani EG, Melchionda N (2004) Weight cycling in treatment-seeking obese persons: data from the QUOVADIS study. Int J Obes Relat Metab Disord 28:1456–1462. https://doi.org/10.1038/SJ.IJO.0802741 Lovibond SH, Lovibond PF (1996) Manual for the depression anxiety stress scales., 2nd ed. Psychology Foundation of Australia Loeber S, Grosshans M, Korucuoglu O, Vollmert C, Vollstädt-Klein S, Schneider S, Wiers RW, Mann K, Kiefer F (2012) Impairment of inhibitory control in response to food-associated cues and attentional bias of obese participants and normal-weight controls. Int J Obes (Lond) 36:1334–1339. https://doi.org/10.1038/IJO.2011.184 Reents J, Seidel AK, Wiesner CD, Pedersen A (2020) The Effect of Hunger and Satiety on Mood-Related Food Craving. Front Psychol 11:. https://doi.org/10.3389/FPSYG.2020.568908 Eichin KN, Georgii C, Arend A-K, van Dyck Z, Blechert J (2022) (Mouse cursor)-Tracking food decisions in binge eating disorder reveals preference for high-energy foods and a role of BMI. Appetite 170:105890. https://doi.org/10.1016/J.APPET.2021.105890 Jones A, di Lemma LCG, 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. https://doi.org/10.1016/J.APPET.2015.11.013 Lawrence NS, Verbruggen F, Morrison S, Adams RC, Chambers CD (2015) Stopping to food can reduce intake. Effects of stimulus-specificity and individual differences in dietary restraint. Appetite 85:91–103. https://doi.org/10.1016/J.APPET.2014.11.006 Camp B, Lawrence NS (2019) Giving pork the chop: Response inhibition training to reduce meat intake. Appetite 141:104315. https://doi.org/10.1016/j.appet.2019.06.007 Adams RC, Button KS, Hickey L, Morrison S, Smith A, Bolus W, Coombs E, Randolph S, Hunt R, Kim D, Chambers CD, Lawrence NS (2021) Food-related inhibitory control training reduces food liking but not snacking frequency or weight in a large healthy adult sample. Appetite 167:105601. https://doi.org/10.1016/j.appet.2021.105601 Najberg H, Rigamonti M, Mouthon M, Spierer L (2021) Modifying food items valuation and weight with gamified executive control training. Royal Society Open Science 8:191288. https://doi.org/10.1098/rsos.191288 Machulska A, Rinck M, Klucken T, Kleinke K, Wunder J-C, Remeniuk O, Margraf J (2022) “Push it!” or “Hold it!”? A comparison of nicotine-avoidance training and nicotine-inhibition training in smokers motivated to quit. Psychopharmacology 239:105–121. https://doi.org/10.1007/S00213-021-06058-5 Cardi V, Leppanen J, Treasure J (2015) The effects of negative and positive mood induction on eating behaviour: a meta-analysis of laboratory studies in the healthy population and eating and weight disorders. Neurosci Biobehav Rev 57:299–309. https://doi.org/10.1016/J.NEUBIOREV.2015.08.011 Haedt-Matt AA, Keel PK (2011) Revisiting the affect regulation model of binge eating: a meta-analysis of studies using ecological momentary assessment. Psychol Bull 137:660–681. https://doi.org/10.1037/A0023660 Linardon J, Shatte A, Messer M, Firth J, Fuller-Tyszkiewicz M (2020) E-mental health interventions for the treatment and prevention of eating disorders: an updated systematic review and meta-analysis. J Consult Clin Psychol 88:994–1007. https://doi.org/10.1037/CCP0000575 Yim SH, Schmidt U (2019) Experiences of computer-based and conventional self-help interventions for eating disorders: a systematic review and meta-synthesis of qualitative research. Int J Eat Disord 52:1108–1124. https://doi.org/10.1002/EAT.23142 What Can We Learn About Psychopathology and Treatment? A Systematic Review. Curr Psychiatry Rep 23:. https://doi.org/10.1007/S11920-021-01294-0