An addiction model-based mobile health weight loss intervention in adolescents with obesity

A P Vidmar, R Pretlow, C Borzutzky, C P Wee, D S Fox, C Fink, S D Mittelman, A P Vidmar, R Pretlow, C Borzutzky, C P Wee, D S Fox, C Fink, S D Mittelman

Abstract

Background: Clinical approaches to treating childhood obesity can be expensive and poorly reimbursed, and often produce suboptimal results. It has been theorized that overeating may have addictive qualities, and a sizable number of adolescents with obesity endorse addictive habits. Interestingly, few weight management interventions have tested techniques founded in addiction medicine principles. We therefore performed a pilot study of an addiction model based mHealth weight loss intervention in adolescents.

Methods: Adolescents with obesity were recruited from an multidisciplinary weight management clinic (EMPOWER). Adolescents without significant obesity comorbidities, who exhibited signs of addictive eating, based on the Yale Food Addiction Scale, were enrolled in a pilot study of an interactive, addiction-based, weight loss smartphone app with coaching (https://ichgcp.net/clinical-trials-registry/NCT02689154" title="See in ClinicalTrials.gov">NCT02689154). The app was designed to help subjects omit problem foods, avoid snacking and reduce meal size. A contemporary cohort of adolescents who completed the EMPOWER program were evaluated. Feasibility of recruitment, adherence, retention rates, BMI change and cost of intervention were examined.

Results: Eighteen participants were recruited to app intervention. App participants had higher retention (100% vs. 37%) and lower total cost per patient ($855.15 vs. $1428.00) than the EMPOWER clinic participants. App participants exhibited a significant decrease in zBMI and %BMIp95 over the 6 months (p < 0.001 and p = 0.001), which was comparable to the age-matched EMPOWER program completers (p = 0.31 and p = 0.06).

Conclusions: An addiction medicine-based mHealth intervention targeted for adolescents was feasible to implement, resulted in high retention and adherence rates, and reduced zBMI and %BMIp95 in a more cost-effective manner than an in-clinic intervention.

Keywords: Eating addiction; food addiction; mobile health; obesity; paediatrics; weight loss.

Conflict of interest statement

Dr Pretlow is the CEO of eHealth International, Inc. and owner and developer of the app used in the study. The additional authors (Vidmar, Borzutzky, Wee, Fox, Fink and Mittelman) have no financial relationships or conflict of interest relevant to this article to disclose.

© 2018 The Authors. Pediatric Obesity published by John Wiley & Sons Ltd on behalf of World Obesity Federation.

Figures

Figure 1
Figure 1
CONSORT diagram.
Figure 2
Figure 2
A. Attendance at scheduled face‐to‐face visits at 3 and 6 months of App (black bars) and EMPOWER (grey bars) participants. B. Mean change in BMI Z‐score across intervention period between App (black circles) and EMPOWER (black triangles). Data represent mean ± stdev changed compared to baseline (* p < 0.001). App participants exhibited a comparable decline in zBMI from baseline to 6 month follow up compared to EMPOWER (coef = −0.02, 95%CI = −0.04, 0.01, p = 0.316). C. Mean change in %BMIp95 across intervention period between App (black circles) and EMPOWER (black triangles). Data represent mean ± stdev changed compared to baseline (* p < 0.001). App participants exhibited a comparable decline in %BMIp95 from baseline to 6‐month follow‐up compared to EMPOWER (coef = −2.04, 95%CI = −4.16, 0.08, p = 0.059).

References

    1. Schulte EM, Potenza MN, Gearhardt AN. A commentary on the “eating addiction” versus “food addiction” perspectives on addictive‐like food consumption. Appetite 2016; 115: 9–15.
    1. Burrows T, Skinner J, Joyner MA, Palmieri J, Vaughan K, Gearhardt AN. Food addiction in children: associations with obesity, parental food addiction and feeding practices. Eat Behav 2017; 26: 114–120.
    1. van Bloemendaal L, Veltman DJ, Ten Kulve JS, et al Brain reward‐system activation in response to anticipation and consumption of palatable food is altered by glucagon‐like peptide‐1 receptor activation in humans. Diabetes Obes Metab 2015; 17: 878–886.
    1. Kalon E, Hong JY, Tobin C, Schulte T. Psychological and neurobiological correlates of food addiction. Int Rev Neurobiol 2016; 129: 85–110.
    1. Tompkins CL, Laurent J, Brock DW. Food addiction: a barrier for effective weight management for obese adolescents. Child Obes 2017; 13: 462–469.
    1. Schulte EM, Jacques‐Tiura AJ, Gearhardt AN, Naar S. Food addiction prevalence and concurrent validity in african american adolescents with obesity. Psychol Addict Behav 2017. 10.1037/adb0000325.
    1. Mies GW, Treur JL, Larsen JK, Halberstadt J, Pasman JA, Vink JM. The prevalence of food addiction in a large sample of adolescents and its association with addictive substances. Appetite 2017; 118: 97–105.
    1. Styne DM, Arslanian SA, Connor EL, et al Pediatric obesity‐assessment, treatment, and prevention: an endocrine society clinical practice guideline. J Clin Endocrinol Metab 2017; 102: 709–757.
    1. O'Connor EA, Evans CV, Burda BU, Walsh ES, Eder M, Lozano P. Screening for obesity and intervention for weight management in children and adolescents: evidence report and systematic review for the US Preventive Services Task Force. JAMA 2017; 317: 2427–2444.
    1. Darling KE, Sato AF. Systematic review and meta‐analysis examining the effectiveness of mobile health technologies in using self‐monitoring for pediatric weight management. Child Obes 2017; 33: 131–139.
    1. Covolo L, Ceretti E, Moneda M, Castaldi S, Gelatti U. Does evidence support the use of mobile phone apps as a driver for promoting healthy lifestyles from a public health perspective? A systematic review of Randomized Control Trials. Patient Educ Couns 2017; 100: 2231–2243.
    1. Chen JL, Guedes CM, Cooper BA, Lung AE. Short‐term efficacy of an innovative mobile phone technology‐based intervention for weight management for overweight and obese adolescents: pilot study. Interact J Med Res 2017; 6: e12.
    1. Fleischman A, Hourigan SE, Lyon HN, et al Creating an integrated care model for childhood obesity: a randomized pilot study utilizing telehealth in a community primary care setting. Clin Obes 2016; 6: 380–388.
    1. Majeed‐Ariss R, Baildam E, Campbell M, et al Apps and adolescents: a systematic review of adolescents' use of mobile phone and tablet apps that support personal management of their chronic or long‐term physical conditions. J Med Internet Res 2015; 17: e287.
    1. Nezami B, Ward DS, Lytle LA, et al A mHealth randomized controlled trial to reduce sugar‐sweetended beverage intake in pre‐school aged children. Pediatr Obes 2017; 45: 576–582.
    1. Pretlow RA, Stock CM, Allison S, Roeger L. Treatment of child/adolescent obesity using the addiction model: a smartphone app pilot study. Child Obes 2015; 11: 248–259.
    1. Pretlow RA. Addiction to highly pleasurable food as a cause of the childhood obesity epidemic: a qualitative Internet study. Eat Disord 2011; 19: 295–307.
    1. Schulte EM, Gearhardt AN. Development of the modified Yale Food Addiction Scale Version 2.0. Eur Eat Disord Rev 2017; 25: 302–308.
    1. Gearhardt AN, Roberto CA, Seamans MJ, Corbin WR, Brownell KD. Preliminary validation of the Yale Food Addiction Scale for children. Eat Behav 2013; 14: 508–512.
    1. Meule A, Hermann T, Kubler A. Food addiction in overweight and obese adolescents seeking weight‐loss treatment. Eur Eat Disord Rev 2015; 23: 193–198.
    1. Freedman DS, Butte NF, Taveras EM, et al BMI z‐scores are a poor indicator of adiposity among 2‐ to 19‐year‐olds with very high BMIs, NHANES 1999‐2000 to 2013‐2014. Obesity (Silver Spring) 2017; 25: 739–746.
    1. Pursey KM, Collins CE, Stanwell P, Burrows TL. The stability of ‘food addiction’ as assessed by the Yale Food Addiction Scale in a non‐clinical population over 18‐months. Appetite 2016; 96: 533–538.
    1. Walpole B, Dettmer E, Morrongiello B, McCrindle B, Hamilton J. Motivational interviewing as an intervention to increase adolescent self‐efficacy and promote weight loss: methodology and design. BMC Public Health 2011; 11: 459.
    1. Rice KG, Jumamil RB, Jabour SM, Cheng JK. Role of health coaches in pediatric weight management. Clin Pediatr (Phila) 2017; 56: 162–170.
    1. Bohlin A, Hagman E, Klaesson S, Danielsson P. Childhood obesity treatment: telephone coaching is as good as usual care in maintaining weight loss—a randomized controlled trial. Clin Obes 2017; 7: 199–205.
    1. Yackobovitch‐Gavan M, Linhard W, Nagelberg N, et al Intervention for childhood obesity based on parents only or parents and child compared with follow‐up alone. Pediatr Obes 2018; 21: 45–53.

Source: PubMed

3
Suscribir