Training App for Inhibitory Control Towards Food
FoodT-RCT
Testing FoodTraining (FoodT): A Mobile App to Train Inhibitory Control Towards Food and Augment Standard Treatment for People With Eating and Weight Disorders
1 other identifier
interventional
113
1 country
1
Brief Summary
The aim of this project is to test the feasibility, acceptability and clinical impact of a mobile app-based intervention (FoodTraining) to strengthen food-related inhibitory control over 4 weeks, in a sample of people with eating or weight disorders (i.e. obesity, binge-eating disorder (BED), or bulimia nervosa (BN)) receiving standard outpatient treatment (i.e., treatment as usual (TAU) encompassing guided self-help or psychotherapy, pharmacological therapy or diet). The training will be offered in addition to TAU (experimental group) and compared to TAU alone (control group). Participants will complete questionnaires to measure eating behaviour, eating disorder psychopathology, symptoms of anxiety, depression and stress, social functioning and quality of life at baseline, 4 and 8 weeks. They will also complete momentary assessments using a mobile application (FoodTracker) to report on food intake along with related thoughts, emotions, and behaviours and will wear small, non-invasive sensors to track real-time fluctuations in glucose levels for 15 days. Participants will also perform a food-related go-no go task and a food-related temporal discounting task at baseline, 4 and 8 weeks. Finally, this study will pilot the use of a semi-structured interview to characterise the history of weight, the appetite system, eating-related habits in the family and learning of eating behaviours and attitudes in people with eating or weight disorders.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Oct 2025
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
July 10, 2025
CompletedFirst Posted
Study publicly available on registry
July 20, 2025
CompletedStudy Start
First participant enrolled
October 1, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
March 1, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
March 1, 2027
ExpectedDecember 30, 2025
July 1, 2025
5 months
July 10, 2025
December 22, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Between-group differences (experimental vs. control group) in changes in tendency to eat in response to emotional eating
Emotional eating subscale of the Dutch Eating Behavior Questionnaire (DEBQ). Higher scores indicate a greater tendency to eat in response to internal emotional factors. Sum and mean of the scores for each subscale item: 1-2 = low level of that eating behaviour; 3 = medium level; 4-5 = high level.
baseline; 4-, and 8- week follow-up
Between-group differences (experimental vs. control group) in changes in uncontrolled eating behaviours
Uncontrolled Eating subscale of the Three-Factor Eating Questionnaire (TFEQ). Higher scores indicate greater levels of the behaviour (Cognitive Restraint = 0-21; Uncontrolled Eating = 0-16; Emotional Eating = 0-14).
baseline; 4-, and 8- weeks follow-up
Secondary Outcomes (20)
Between-group differences (experimental vs. control group) in changes in eating disorder psychopathology
baseline; 4-, and 8- weeks follow-up
Between-group differences (experimental vs. control group) in changes in frequency and severity of binge eating episodes
baseline; 4-, and 8- week follow-up
Between-group differences (experimental vs. control group) in liking of high calorie dense foods
baseline; 4-, and 8- weeks follow-up
Between-group differences (experimental vs. control group) in wanting of high calorie dense foods
baseline; 4-, and 8- weeks follow-up
Between-group differences (experimental vs. control group) in urge to eat high calorie dense foods
baseline; 4-, and 8- weeks follow-up
- +15 more secondary outcomes
Study Arms (2)
Experimental Condition (TAU + FoodTraining)
EXPERIMENTALParticipants in the experimental condition will be asked to perform a food-specific inhibitory control training delivered through the FoodTraining App once a day for the first week and three times a week for the remaining three weeks, for five minutes each time.
Control condition
ACTIVE COMPARATORParticipants in the control group will be offered access to the FoodTraining App at the end of the 8-week follow-up.
Interventions
Participants allocated to the control condition will not have access to the FoodTraining App during the active phase of the study (8 weeks), but will be offered the opportunity to access the app at the end of the 8-week follow-up period. This ensures that all participants, regardless of group allocation, will have the chance to benefit from the intervention once data collection is complete.
Participants will complete one training session per day for the first week and three sessions per week for the following three weeks (4 weeks in total). Each session lasts about 5 minutes and includes 3 blocks of stimuli presentation. In each block, 32 images (8 low-energy-dense foods, 8 high-energy-dense foods, 16 neutral objects) are presented for 1500ms with a 500ms interstimulus interval. One-hundred ms after the image presentation, a red or green circle appears. Participants will have to tap the image when a green circle appears ("go" trials) and inhibit a response when a red circle appears ("no-go" trials). Low-energy-dense foods are always paired with "go" trials, high-energy-dense foods with "no-go" trials, and neutral objects with either "go" or "no-go" trials. After each block, participants receive feedback on mean accuracy and reaction time. Participants can personalise the training by selecting up to three categories of high-energy-dense foods to include.
Eligibility Criteria
You may qualify if:
- BMI in the obesity range (\>30) or a clinician-formulated diagnosis of binge eating disorder or bulimia nervosa;
- knowledge of Italian or English;
- access to a mobile device (e.g. smartphone, tablet).
You may not qualify if:
- visual impairment not corrected by glasses
- a diagnosis of psychosis;
- intellectual disability.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of Padovalead
- University of Exetercollaborator
Study Sites (1)
Psychiatry Unit, University Hospital, Padova and Bariatric Unit, University Hospital, Padova
Padua, Padova, 35121, Italy
Related Publications (18)
Dakanalis A, Zanetti MA, Clerici M, Madeddu F, Riva G, Caccialanza R. Italian version of the Dutch Eating Behavior Questionnaire. Psychometric proprieties and measurement invariance across sex, BMI-status and age. Appetite. 2013 Dec;71:187-95. doi: 10.1016/j.appet.2013.08.010. Epub 2013 Aug 30.
PMID: 23994503BACKGROUNDSchiff S, Amodio P, Testa G, Nardi M, Montagnese S, Caregaro L, di Pellegrino G, Sellitto M. Impulsivity toward food reward is related to BMI: Evidence from intertemporal choice in obese and normal-weight individuals. Brain Cogn. 2016 Dec;110:112-119. doi: 10.1016/j.bandc.2015.10.001. Epub 2015 Oct 30.
PMID: 26525096BACKGROUNDPresseller EK, Parker MN, Zhang F, Manasse S, Juarascio AS. Continuous glucose monitoring as an objective measure of meal consumption in individuals with binge-spectrum eating disorders: A proof-of-concept study. Eur Eat Disord Rev. 2024 Jul;32(4):828-837. doi: 10.1002/erv.3094. Epub 2024 Apr 3.
PMID: 38568882BACKGROUNDRania M, Caroleo M, Carbone EA, Ricchio M, Pelle MC, Zaffina I, Condoleo F, de Filippis R, Aloi M, De Fazio P, Arturi F, Segura-Garcia C. Reactive hypoglycemia in binge eating disorder, food addiction, and the comorbid phenotype: unravelling the metabolic drive to disordered eating behaviours. J Eat Disord. 2023 Sep 19;11(1):162. doi: 10.1186/s40337-023-00891-z.
PMID: 37726785BACKGROUNDCornier MA. A review of current guidelines for the treatment of obesity. Am J Manag Care. 2022 Dec;28(15 Suppl):S288-S296. doi: 10.37765/ajmc.2022.89292.
PMID: 36525676BACKGROUNDCarbine KA, Muir AM, Allen WD, LeCheminant JD, Baldwin SA, Jensen CD, Kirwan CB, Larson MJ. Does inhibitory control training reduce weight and caloric intake in adults with overweight and obesity? A pre-registered, randomized controlled event-related potential (ERP) study. Behav Res Ther. 2021 Jan;136:103784. doi: 10.1016/j.brat.2020.103784. Epub 2020 Dec 8.
PMID: 33316579BACKGROUNDde Klerk MT, Smeets PAM, la Fleur SE. Inhibitory control as a potential treatment target for obesity. Nutr Neurosci. 2023 May;26(5):429-444. doi: 10.1080/1028415X.2022.2053406. Epub 2022 Mar 28.
PMID: 35343884BACKGROUNDKeeler JL, Chami R, Cardi V, Hodsoll J, Bonin E, MacDonald P, Treasure J, Lawrence N. App-based food-specific inhibitory control training as an adjunct to treatment as usual in binge-type eating disorders: A feasibility trial. Appetite. 2022 Jan 1;168:105788. doi: 10.1016/j.appet.2021.105788. Epub 2021 Oct 30.
PMID: 34728250BACKGROUNDCardi V, Meregalli V, Di Rosa E, Derrigo R, Faustini C, Keeler JL, Favaro A, Treasure J, Lawrence N. A community-based feasibility randomized controlled study to test food-specific inhibitory control training in people with disinhibited eating during COVID-19 in Italy. Eat Weight Disord. 2022 Oct;27(7):2745-2757. doi: 10.1007/s40519-022-01411-9. Epub 2022 Jun 6.
PMID: 35666376BACKGROUNDBottesi G, Ghisi M, Altoe G, Conforti E, Melli G, Sica C. The Italian version of the Depression Anxiety Stress Scales-21: Factor structure and psychometric properties on community and clinical samples. Compr Psychiatry. 2015 Jul;60:170-81. doi: 10.1016/j.comppsych.2015.04.005. Epub 2015 Apr 15.
PMID: 25933937BACKGROUNDCalugi S, Milanese C, Sartirana M, El Ghoch M, Sartori F, Geccherle E, Coppini A, Franchini C, Dalle Grave R. The Eating Disorder Examination Questionnaire: reliability and validity of the Italian version. Eat Weight Disord. 2017 Sep;22(3):509-514. doi: 10.1007/s40519-016-0276-6. Epub 2016 Apr 2.
PMID: 27039107BACKGROUNDMundt JC, Marks IM, Shear MK, Greist JH. The Work and Social Adjustment Scale: a simple measure of impairment in functioning. Br J Psychiatry. 2002 May;180:461-4. doi: 10.1192/bjp.180.5.461.
PMID: 11983645BACKGROUNDCepeda-Benito A, Gleaves DH, Fernandez MC, Vila J, Williams TL, Reynoso J. The development and validation of Spanish versions of the State and Trait Food Cravings Questionnaires. Behav Res Ther. 2000 Nov;38(11):1125-38. doi: 10.1016/s0005-7967(99)00141-2.
PMID: 11060941BACKGROUNDStunkard AJ, Messick S. The three-factor eating questionnaire to measure dietary restraint, disinhibition and hunger. J Psychosom Res. 1985;29(1):71-83. doi: 10.1016/0022-3999(85)90010-8.
PMID: 3981480BACKGROUNDGormally J, Black S, Daston S, Rardin D. The assessment of binge eating severity among obese persons. Addict Behav. 1982;7(1):47-55. doi: 10.1016/0306-4603(82)90024-7.
PMID: 7080884BACKGROUNDInnamorati M, Imperatori C, Manzoni GM, Lamis DA, Castelnuovo G, Tamburello A, Tamburello S, Fabbricatore M. Psychometric properties of the Italian Yale Food Addiction Scale in overweight and obese patients. Eat Weight Disord. 2015 Mar;20(1):119-27. doi: 10.1007/s40519-014-0142-3. Epub 2014 Jul 29.
PMID: 25069837BACKGROUNDFossati A, Di Ceglie A, Acquarini E, Barratt ES. Psychometric properties of an Italian version of the Barratt Impulsiveness Scale-11 (BIS-11) in nonclinical subjects. J Clin Psychol. 2001 Jun;57(6):815-28. doi: 10.1002/jclp.1051.
PMID: 11344467BACKGROUNDLabonte K, Nielsen DE. Measuring food-related inhibition with go/no-go tasks: Critical considerations for experimental design. Appetite. 2023 Jun 1;185:106497. doi: 10.1016/j.appet.2023.106497. Epub 2023 Mar 7.
PMID: 36893916BACKGROUND
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Valentina Cardi, PhD
Department of General Psychology, University of Padova, Padova, Italy
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- OUTCOMES ASSESSOR
- Masking Details
- Each participant will be assigned an identification code (ID-code) randomly generated by a computer. The outcome assessors will be blind to whether participants will be assigned to the experimental or control group.
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
July 10, 2025
First Posted
July 20, 2025
Study Start
October 1, 2025
Primary Completion
March 1, 2026
Study Completion (Estimated)
March 1, 2027
Last Updated
December 30, 2025
Record last verified: 2025-07
Data Sharing
- IPD Sharing
- Will not share
A plan will be established by the research team for data sharing following publication of the first manuscript