» Articles » PMID: 36484235

An Addiction-based Digital Weight Loss Intervention: A Multi-centre Randomized Controlled Trial

Overview
Journal Pediatr Obes
Date 2022 Dec 9
PMID 36484235
Authors
Affiliations
Soon will be listed here.
Abstract

Objective: This randomized clinical trial tested the effectiveness of an addiction-based digital weight-loss intervention, focusing on withdrawal/abstinence from self-identified problem foods, snacking and excessive amounts at meals, and discomfort displacement, with and without coaching, compared to an in-person, multi-disciplinary, care model among adolescents with obesity. We hypothesized that the digital intervention with coaching would yield greater weight loss and lower delivery burden than the standard clinical arm, and greater participant engagement than the digital arm without coaching.

Methods: Adolescents were randomized to app intervention, with or without coaching, or in-person multidisciplinary obesity intervention for 6 months. The primary outcome was change in %BMI at weeks 12 and 24. A mixed-effects linear regression model was used to assess the association between change in %BMI and intervention arm. We were also interested in assessing delivery burden, participant engagement and evaluating the relationships between weight change and demographic characteristics, mood, executive function and eating behaviours.

Results: All adolescents (n = 161; BMI ≥95th%, age 16 ± 2.5 year; 47% Hispanic, 65% female, 59% publicly insured) lost weight over 24-weeks (-1.29%, [-1.82, -0.76], p < 0.0001), with no significant weight loss difference between groups (p = 0.3). Girls lost more weight than boys, whereas binge eating behaviour at baseline was associated with increase in %BMI when controlling for other covariates. There was no association between ethnicity, mood, timing of intervention in relation to the pandemic, or executive function and change in %BMI .

Conclusions: Contrary with our hypothesis, our results showed no difference in the change in BMI status between treatment arms. Since efficacy of this digital intervention was not inferior to in-person, multi-disciplinary care, this could offer a reasonable weight management option for clinicians, based on youth and family specific characteristics, such as accessibility, resources, and communication styles.

Clinical Trial Registration: ClinicalTrials.gov identifier: NCT035008353.

Citing Articles

The prognostic role of food addiction for weight loss treatment outcomes in individuals with overweight and obesity: A systematic review and meta-analysis.

Halbeisen G, Pahlenkemper M, Sabel L, Richardson C, Aguera Z, Fernandez-Aranda F Obes Rev. 2024; 26(2):e13851.

PMID: 39415327 PMC: 11711077. DOI: 10.1111/obr.13851.


Mobile health (m-health) smartphone interventions for adolescents and adults with overweight or obesity.

Metzendorf M, Wieland L, Richter B Cochrane Database Syst Rev. 2024; 2:CD013591.

PMID: 38375882 PMC: 10877670. DOI: 10.1002/14651858.CD013591.pub2.


The Impact of Intervention Design on User Engagement in Digital Therapeutics Research: Factorial Experiment With a Mixed Methods Study.

Lee H, Choi E, Shin J, Kim T, Oh J, Shin B JMIR Form Res. 2024; 8:e51225.

PMID: 38335015 PMC: 10891489. DOI: 10.2196/51225.

References
1.
Burrows T, Skinner J, Joyner M, Palmieri J, Vaughan K, Gearhardt A . Food addiction in children: Associations with obesity, parental food addiction and feeding practices. Eat Behav. 2017; 26:114-120. DOI: 10.1016/j.eatbeh.2017.02.004. View

2.
Alencar M, Johnson K, Gray V, Mullur R, Gutierrez E, Dionico P . Telehealth-Based Health Coaching Increases m-Health Device Adherence and Rate of Weight Loss in Obese Participants. Telemed J E Health. 2019; 26(3):365-368. PMC: 7071022. DOI: 10.1089/tmj.2019.0017. View

3.
Franklin E, Simpson V, Berthet-Miron M, Gupta O, Barlow S . A Pilot Study Evaluating a Binge-Eating Screener in Children: Development of the Children's Brief Binge-Eating Questionnaire in a Pediatric Obesity Clinic. Clin Pediatr (Phila). 2019; 58(10):1063-1071. DOI: 10.1177/0009922819863664. View

4.
Gill R, Karmali S, Hadi G, Al-Adra D, Shi X, Birch D . Predictors of attrition in a multidisciplinary adult weight management clinic. Can J Surg. 2012; 55(4):239-43. PMC: 3404143. DOI: 10.1503/cjs.035710. View

5.
Gearhardt A, Roberto C, Seamans M, Corbin W, Brownell K . Preliminary validation of the Yale Food Addiction Scale for children. Eat Behav. 2013; 14(4):508-12. PMC: 3817415. DOI: 10.1016/j.eatbeh.2013.07.002. View