An addiction-based mobile health weight loss intervention: Protocol of a randomized controlled trial
Open accessAbstract
Background The notion of obesity as an addictive process is controversial. However, studies show that between 5.9 and 30.7% of adolescents with obesity report food or eating addiction. Few weight management interventions have tested techniques based on addiction medicine principles.Methods This multi-center randomized control trial (RCT) is designed to test the effectiveness of a mobile health (mHealth) weight-loss intervention based on addiction principles, such as withdrawal and tolerance, in a sample of 180 adolescents (ages 14-18) recruited from four pediatric weight management clinics in Southern California. Akin to a Multiphase Optimization Strategy (MOST) design evaluating multicomponent behavioral interventions, we will compare the combination of an app + phone coaching (App+Coach) to app alone (App) and in-clinic multi-disciplinary (Clinic) intervention arms. The primary outcome is mean change in zBMI and %BMI p95 over 18 months. We hypothesize that youth who receive App+Coach will have a greater reduction in body weight over the 18-month study period at a lower cost than standard of care models. Secondary outcomes include adherence to treatment regimen, intervention satisfaction, effect of the intervention on metabolic factors and activity level. We will also explore potential moderators of intervention effectiveness such as addictive eating habits, self-regulation and executive functioning.Conclusions New and creative approaches are needed to address pediatric obesity. If successful, this RCT may provide an innovative and cost-effective mHealth approach, based on addiction methods, for weight loss among adolescents with overweight and obesity.
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Among adolescents with obesity (n = 18), an FA-informed mobile health (app) intervention reduced zBMI in a more cost-effective manner than the in-clinic intervention.
“Among adolescents with obesity (n = 18), an FA-informed mobile health (app) intervention reduced zBMI in a more cost-effective manner than the in-clinic intervention, and there is currently an RCT underway in a larger sample using this approach [229,230].”
From Separating the Signal from the Noise: How Psychiatric Diagnoses Can Help Discern Food Addiction from Dietary Restraint (2020) · cites this paper as [229]
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Cites
Barlow, S. E., & and the Expert Committee (2007) · Pediatrics · doi:10.1542/peds.2007-2329c · Cited by 4,497 · see citing works
TEST REVIEW behavior rating inventory of executive function.
Gioia, G. A., Isquith, P. K., Guy, S. C., & Kenworthy, L. (2000) · Child Neuropsychology · doi:10.1076/chin.6.3.235.3152 · Cited by 1,925 · see citing works
Behavior Rating Inventory for Executive Function
Gioia, G. A., Isquith, P. Κ., & Roth, R. M. (2017) · Springer eBooks · doi:10.1007/978-3-319-56782-2_1881-2 · Cited by 1,571 · see citing works
Preliminary validation of the Yale Food Addiction Scale
Gearhardt, A. N., Corbin, W. R., & Brownell, K. D. (2009) · Appetite · doi:10.1016/j.appet.2008.12.003 · Cited by 1,369 · see citing works
Styne, D. M., Arslanian, S. A., Connor, E. L., Farooqi, I. S., Murad, M. H., Silverstein, J. H., & Yanovski, J. A. (2017) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2016-2573 · Cited by 1,322 · see citing works
August, G. P., Caprio, S., Fennoy, I., Freemark, M., KAUFMAN, F. R., Lustig, R. H., Silverstein, J. H., Speiser, P., Styne, D. M., & Montori, V. M. (2008) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2007-2458 · Cited by 518 · see citing works
Evidence-Based Strategies in Weight-Loss Mobile Apps
Pagoto, S., Schneider, K., Jojic, M., DeBiasse, M., & Mann, D. (2013) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2013.04.025 · Cited by 325 · see citing works
Rose, T., Barker, M. E., Jacob, C. M., Morrison, L. G., Lawrence, W. T., Strömmer, S., Vogel, C., Woods‐Townsend, K., Farrell, D., Inskip, H. M., et al. (2017) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2017.05.024 · Cited by 319 · see citing works
Moilanen, K. L. (2006) · Journal of Youth and Adolescence · doi:10.1007/s10964-006-9107-9 · Cited by 300 · see citing works
Development of the Modified Yale Food Addiction Scale Version 2.0
LaFata, E. M., & Gearhardt, A. N. (2017) · European Eating Disorders Review · doi:10.1002/erv.2515 · Cited by 290 · see citing works
Majeed-Ariss, R., Baildam, E., Campbell, M., Chieng, A., Fallon, D., Hall, A., McDonagh, J. E., Stones, S. R., Thomson, W., & Swallow, V. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.5043 · Cited by 251 · see citing works
Nijs, I., Franken, I., & Muris, P. (2007) · Appetite · doi:10.1016/j.appet.2006.11.001 · Cited by 235 · see citing works
Freedman, D. S., Butte, N. F., Taveras, E. M., Lundeen, E. A., Blanck, H. M., Goodman, A. B., & Ogden, C. L. (2017) · Obesity · doi:10.1002/oby.21782 · Cited by 234 · see citing works
Preliminary validation of the Yale Food Addiction Scale for children
Gearhardt, A. N., Roberto, C. A., Seamans, M. J., Corbin, W. R., & Brownell, K. D. (2013) · Eating Behaviors · doi:10.1016/j.eatbeh.2013.07.002 · Cited by 204 · see citing works
The Neurobiology of “Food Addiction” and Its Implications for Obesity Treatment and Policy
Carter, A., Hendrikse, J. J., Lee, N., Yücel, M., Verdejo‐García, A., Andrews, Z. B., & Hall, W. (2016) · Annual Review of Nutrition · doi:10.1146/annurev-nutr-071715-050909 · Cited by 176 · see citing works
Monzavi, R., Dreimane, D., Geffner, M. E., Braun, S., Conrad, B., Klier, M., & KAUFMAN, F. R. (2006) · PEDIATRICS · doi:10.1542/peds.2005-1532 · Cited by 154 · see citing works
Long-term effects of adolescent obesity: time to act
Reinehr, T. (2017) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2017.147 · Cited by 119 · see citing works
Nguyen, B., Shrewsbury, V. A., O’Connor, J., Steinbeck, K. S., Hill, A. J., Shah, S., Kohn, M. R., Torvaldsen, S., & Baur, L. A. (2012) · International Journal of Obesity · doi:10.1038/ijo.2012.74 · Cited by 101 · see citing works
Pretlow, R. A. (2011) · Eating Disorders · doi:10.1080/10640266.2011.584803 · Cited by 90 · see citing works
Self-citationFreedman, D. S., Butte, N. F., Taveras, E. M., Goodman, A. B., Ogden, C. L., & Blanck, H. M. (2017) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2017.03.039 · Cited by 89 · see citing works
An addiction model-based mobile health weight loss intervention in adolescents with obesity
Vidmar, A. P., Pretlow, R., Borzutzky, C., Wee, C. P., Fox, D. S., Fink, C., & Mittelman, S. D. (2019) · Pediatric Obesity · doi:10.1111/ijpo.12464 · Cited by 76 · see citing works
Darling, K. E., & Sato, A. F. (2017) · Childhood Obesity · doi:10.1089/chi.2017.0038 · Cited by 75 · see citing works
Food craving as a mediator between addictive-like eating and problematic eating outcomes
Joyner, M. A., Gearhardt, A. N., & White, M. A. (2015) · Eating Behaviors · doi:10.1016/j.eatbeh.2015.07.005 · Cited by 74 · see citing works
Food addiction in children: Associations with obesity, parental food addiction and feeding practices
Burrows, T. L., Skinner, J. A., Joyner, M., Palmieri, J., Vaughan, K., & Gearhardt, A. N. (2017) · Eating Behaviors · doi:10.1016/j.eatbeh.2017.02.004 · Cited by 67 · see citing works
Treatment of Child/Adolescent Obesity Using the Addiction Model: A Smartphone App Pilot Study
Pretlow, R. A., Stock, C. M., Allison, S. C., & Roeger, L. S. (2015) · Childhood Obesity · doi:10.1089/chi.2014.0124 · Cited by 66 · see citing works
Self-citationCovolo, L., Ceretti, E., Moneda, M., Castaldi, S., & Gelatti, U. (2017) · Patient Education and Counseling · doi:10.1016/j.pec.2017.07.032 · Cited by 65 · see citing works
Food Addiction: A Barrier for Effective Weight Management for Obese Adolescents
Tompkins, C. L., Laurent, J. S., & Brock, D. W. (2017) · Childhood Obesity · doi:10.1089/chi.2017.0003 · Cited by 57 · see citing works
Dreimane, D., Safani, D., Mackenzie, M., Halvorson, M., Braun, S., Conrad, B., & KAUFMAN, F. R. (2006) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2006.05.017 · Cited by 53 · see citing works
Rouel, M., Raman, J., Hay, P., & Smith, E. (2016) · Eating Behaviors · doi:10.1016/j.eatbeh.2016.07.010 · Cited by 48 · see citing works
Much ado about norming: The Behavior Rating Inventory of Executive Function
Roth, R. M., Erdődi, L. A., McCulloch, L. J., & Isquith, P. Κ. (2014) · Child Neuropsychology · doi:10.1080/09297049.2014.897318 · Cited by 47 · see citing works
de Vet, E., de Ridder, D. T. D., Stok, F. M., Brunsø, K., Băban, A., & Gaspar, T. (2014) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-014-0106-z · Cited by 44 · see citing works
Rancourt, D., Jensen, C. D., Duraccio, K. M., Evans, E. W., Wing, R. R., & Jelalian, E. (2018) · Clinical Obesity · doi:10.1111/cob.12242 · Cited by 17 · see citing works
Dutton, G. R., Lewis, C. E., Cherrington, A., Pisu, M., Richman, J., Turner, T., & Phillips, J. M. (2018) · Contemporary Clinical Trials · doi:10.1016/j.cct.2018.07.015 · Cited by 8 · see citing works
The Presence of eHealth Support for Childhood Obesity Guidance
Deshpande, S., Rigby, M., & Blair, M. E. (2018) · Studies in health technology and informatics · doi:10.3233/978-1-61499-852-5-945 · Cited by 5 · see citing works
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Wiss, D., & Brewerton, T. (2020) · Nutrients · doi:10.3390/nu12102937 · Cited by 63 · see citing works
- Authors
- Vidmar, A. P., Salvy, S. J., Pretlow, R., Mittelman, S. D., Wee, C. P., Fink, C., Steven Fox, D., & Raymond, J. K.
- Affiliations
- University of Southern California (US)
- Cedars-Sinai Medical Center (US)
- University of California, Los Angeles (US)
- Saban Research Institute (US)
- Corresponding author
- Vidmar, Alaina P.
- ORCID
- Venue
- Contemporary Clinical Trials
- Publisher
- Elsevier BV
- Published
- 2019-03
- Volume
- 78
- Pages
- 11-19
- ISSN
- 1551-7144 (ISSN-L)
- PMC
- PMC8078064
- OpenAlex
- W2909774182
- Cited by
- 20
- References
- 34
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 2 · 2023: 2 · 2022: 4 · 2021: 4 · 2020: 3 · 2019: 1
- FWCI
- 4.09
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Contemporary Clinical Trials (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- Children's Hospital Los Angeles Biostatistics Core and NIH/NCRR SC-CTSI (UL1 TR000130)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Social Sciences › Psychology › Clinical Psychology › Eating Disorders and Behaviors
- Keywords
- adolescent obesity, mobile health, food addiction, mobile application, phone coaching, pediatric obesity management, body mass index, medication adherence, metabolic factors, physical activity, self-regulation, executive function, cost-effectiveness
- MeSH terms
- Self-Control, Food Addiction, Adolescent, Body Weight, California, Feeding Behavior, Female, Health Education, Humans, Male, Mentors, Patient Compliance, Research Design, Multicenter Studies as Topic, Randomized Controlled Trials as Topic, Single-Blind Method, Patient Satisfaction, Executive Function, Weight Reduction Programs, Mobile Applications, Pediatric Obesity
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