Effect of an interactive mobile health support system and daily weight measurements for pediatric obesity treatment, a 1-year pragmatical clinical trial

Emilia Hagman, Linnea Johansson, Claude Kollin, Erik Marcus, Andreas Drangel, Love Marcus, Claude Marcus, Pernilla Danielsson, Emilia Hagman, Linnea Johansson, Claude Kollin, Erik Marcus, Andreas Drangel, Love Marcus, Claude Marcus, Pernilla Danielsson

Abstract

Background: Pediatric obesity lifestyle treatment is not always successful. Frequent clinical visits are of major importance to certify sufficient effect but are difficult due to the associated costs and the great demands on families. We hypothesized that an interactive digital support may reduce the need for frequent physical visits. The aim of the study was to assess 1-year weight outcome for patients using a digital support system compared with standard care.

Methods: An obesity lifestyle treatment with a digital support system was implemented in one clinic in Stockholm, Sweden. Measurements from a custom-made body scale without digits for daily home measurement of weights were transferred via Bluetooth to a mobile application, where BMI Z-score was calculated and presented graphically with an individualized weight loss target curve. An automatic transfer of data to the web-based clinic interface enables a close monitoring of treatment progress, and frequent written communication between the clinical staff and families via the application. One-year outcome was compared with a randomly retrieved, age and sex matched control group from the Swedish childhood obesity treatment register (BORIS), which received standard treatment at other clinics. Main outcome was change in BMI Z-score and missing data was imputed.

Results: 107 children were consecutively included to digi-physical treatment and 321 children to standard care. Age range 4.1-17.4 years (67% males). The attrition rate was 36% and 46% respectively, p = 0.08. After 1 year, the mean ± SD change in BMI Z-score in the treatment group was -0.30 ± 0.39 BMI Z-score units and in the standard care group -0.15 ± 0.28, p = 0.0002. The outcome was better for both sexes and all age groups in the digi-physical treated group.

Conclusion: A digital support system with a personalized weight-loss target curve and daily weight measurements shared by the family and the clinic is more effective than a standard care childhood obesity treatment.

Gov id: NCT04323215.

Conflict of interest statement

EH: None. LJ: PhD student with CM as co-supervisor. CK: Director of and stockholder of Martina Children’s Hospital AB. EM: Advisor for Evira AB. AD: Employed by and shareholder of Evira AB. LM: Employed by and shareholder of Evira AB. CM: Board member and shareholder of Evira AB. PD: None.

© 2022. The Author(s).

Figures

Fig. 1. Flowchart of the children treated…
Fig. 1. Flowchart of the children treated with digital support and children in standard care.
* I.e. patients not meeting the criterion for obesity at treatment initiation. ** BORIS—the Swedish Childhood Obesity Treatment Register.
Fig. 2. Illustration of the digital support…
Fig. 2. Illustration of the digital support system.
Family interface in mobile application shows graphic presentation of child’s individual target curve and progress. Clinic interface shows child’s absolute measures and progress in BMI Z-score and weight. Custom made scale, with hidden digits, transfer weight through Bluetooth.
Fig. 3. Treatment outcome.
Fig. 3. Treatment outcome.
Dark gray show outcome for the digital support group and light gray bars indicates standard care. Whiskers indicate standard error. A Mean BMI Z-score and standard error at baseline and 1 year. B Mean change in BMI Z-score, 1-year post treatment initiation, stratified for sex, age, and degree of obesity.
Fig. 4. Process measures for individuals receiving…
Fig. 4. Process measures for individuals receiving digital support.
Dark gray line indicates individuals remaining in treatment (left axis) and light gray line show average numbers of weekly weight measurements (right axis).

References

    1. Hagman E, Danielsson P, Elimam A, Marcus C. The effect of weight loss and weight gain on blood pressure in children and adolescents with obesity. Int J Obes. 2019;43:1988–94.. doi: 10.1038/s41366-019-0384-2.
    1. Lindberg L, Danielsson P, Persson M, Marcus C, Hagman E. Association of childhood obesity with risk of early all-cause and cause-specific mortality: A Swedish prospective cohort study. PLoS Med. 2020;17:e1003078. doi: 10.1371/journal.pmed.1003078.
    1. Lindberg L, Hagman E, Danielsson P, Marcus C, Persson M. Anxiety and depression in children and adolescents with obesity: a nationwide study in Sweden. BMC Med. 2020;18:30. doi: 10.1186/s12916-020-1498-z.
    1. Baker JL, Olsen LW, Sorensen TIA. Childhood body-mass index and the risk of coronary heart disease in adulthood. N Engl J Med. 2007;357:2329–37. doi: 10.1056/NEJMoa072515.
    1. Lindberg L, Persson M, Danielsson P, Hagman E, Marcus C. Obesity in childhood, socioeconomic status, and completion of 12 or more school years: a prospective cohort study. BMJ Open. 2021;11:e040432. doi: 10.1136/bmjopen-2020-040432.
    1. Ek A, Lewis Chamberlain K, Sorjonen K, Hammar U, Etminan Malek M, Sandvik P, et al. A Parent Treatment Program for Preschoolers With Obesity: A Randomized Controlled Trial. Pediatrics. 2019;144:e20183457.
    1. Mead E, Brown T, Rees K, Azevedo LB, Whittaker V, Jones D, et al. Diet, physical activity and behavioural interventions for the treatment of overweight or obese children from the age of 6 to 11 years. Cochrane Database Syst Rev. 2017;6:CD012651.
    1. Ells LJ, Rees K, Brown T, Mead E, Al-Khudairy L, Azevedo L, et al. Interventions for treating children and adolescents with overweight and obesity: an overview of Cochrane reviews. Int J Obes. 2018;42:1823–33.. doi: 10.1038/s41366-018-0230-y.
    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;317:2427–44. doi: 10.1001/jama.2017.0332.
    1. Gorin AA, Gokee LaRose J, Espeland MA, Tate DF, Jelalian E, Robichaud E, et al. Eating pathology and psychological outcomes in young adults in self-regulation interventions using daily self-weighing. Health Psychol. 2019;38:143–50.. doi: 10.1037/hea0000689.
    1. Burke LE, Wang J, Sevick MA. Self-monitoring in weight loss: a systematic review of the literature. J Am Diet Assoc. 2011;111:92–102. doi: 10.1016/j.jada.2010.10.008.
    1. Butryn ML, Phelan S, Hill JO, Wing RR. Consistent self-monitoring of weight: a key component of successful weight loss maintenance. Obesity. 2007;15:3091–6. doi: 10.1038/oby.2007.368.
    1. Park J, Park MJ, Seo YG. Effectiveness of Information and Communication Technology on Obesity in Childhood and Adolescence: Systematic Review and Meta-analysis. J Med Internet Res. 2021;23:e29003. doi: 10.2196/29003.
    1. Azevedo LB, Stephenson J, Ells L, Adu-Ntiamoah S, DeSmet A, Giles EL, et al. The effectiveness of e-health interventions for the treatment of overweight or obesity in children and adolescents: A systematic review and meta-analysis. Obes Rev. 2021:23:e13373.
    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;13:347–55.. doi: 10.1089/chi.2017.0038.
    1. Quelly SB, Norris AE, DiPietro JL. Impact of mobile apps to combat obesity in children and adolescents: A systematic literature review. J Spec Pediatr Nurs. 2016;21:5–17. doi: 10.1111/jspn.12134.
    1. Wang Y, Xue H, Huang Y, Huang L, Zhang D. A Systematic Review of Application and Effectiveness of mHealth Interventions for Obesity and Diabetes Treatment and Self-Management. Adv Nutr. 2017;8:449–62.. doi: 10.3945/an.116.014100.
    1. Flores Mateo G, Granado-Font E, Ferre-Grau C, Montana-Carreras X. Mobile Phone Apps to Promote Weight Loss and Increase Physical Activity: A Systematic Review and Meta-Analysis. J Med Internet Res. 2015;17:e253. doi: 10.2196/jmir.4836.
    1. Naets T, Vervoort L, Tanghe A, Braet C. Adherence and barriers in e-health self-control training for enhancing childhood multidisciplinary obesity treatment. Clin Psychol Psychother. 2020;27:42–51. doi: 10.1002/cpp.2405.
    1. DeSilva S, Vaidya SS. The Application of Telemedicine to Pediatric Obesity: Lessons from the Past Decade. Telemed J E Health. 2021;27:159–66. doi: 10.1089/tmj.2019.0314.
    1. Turner T, Spruijt-Metz D, Wen CK, Hingle MD. Prevention and treatment of pediatric obesity using mobile and wireless technologies: a systematic review. Pediatr Obes. 2015;10:403–9. doi: 10.1111/ijpo.12002.
    1. Johansson L, Hagman E, Danielsson P. A novel interactive mobile health support system for pediatric obesity treatment: a randomized controlled feasibility trial. BMC Pediatr. 2020;20:447. doi: 10.1186/s12887-020-02338-9.
    1. Hagman E, Danielsson P, Lindberg L, Marcus C, Committee BS. Paediatric obesity treatment during 14 years in Sweden: Lessons from the Swedish Childhood Obesity Treatment Register-BORIS. Pediatr Obes. 2020;15:e12626. doi: 10.1111/ijpo.12626.
    1. Ford I, Norrie J. Pragmatic Trials. N Eng J Med. 2016;375:454–63. doi: 10.1056/NEJMra1510059.
    1. Cole TJ, Lobstein T. Extended international (IOTF) body mass index cut-offs for thinness, overweight and obesity. Pediatr Obes. 2012;7:284–94. doi: 10.1111/j.2047-6310.2012.00064.x.
    1. Ministers NCo. Nordic Nutrition Recommendations 2012: Integrating nutrition and physical activity. 5 ed. Copenhagen: Nordisk Ministerråd; 2014.
    1. Danielsson P, Kowalski J, Ekblom O, Marcus C. Response of severely obese children and adolescents to behavioral treatment. Arch Pediatr Adolesc Med. 2012;166:1103–8. doi: 10.1001/2013.jamapediatrics.319.
    1. Hagman E, Hecht L, Marko L, Azmanov H, Groop L, Santoro N, et al. Predictors of responses to clinic-based childhood obesity care. Pediatr Diabet. 2018;19:1351–6. doi: 10.1111/pedi.12774.
    1. Kelly AS, Auerbach P, Barrientos-Perez M, Gies I, Hale PM, Marcus C, et al. A Randomized, Controlled Trial of Liraglutide for Adolescents with Obesity. N Eng J Med. 2020;382:2117–28.. doi: 10.1056/NEJMoa1916038.
    1. Olbers T, Beamish AJ, Gronowitz E, Flodmark CE, Dahlgren J, Bruze G, et al. Laparoscopic Roux-en-Y gastric bypass in adolescents with severe obesity (AMOS): a prospective, 5-year, Swedish nationwide study. Lancet Diabet Endocrinol. 2017;5:174–83. doi: 10.1016/S2213-8587(16)30424-7.
    1. Dhaliwal J, Nosworthy NM, Holt NL, Zwaigenbaum L, Avis JL, Rasquinha A, et al. Attrition and the management of pediatric obesity: an integrative review. Child Obes. 2014;10:461–73. doi: 10.1089/chi.2014.0060.
    1. Jebeile H, Gow ML, Baur LA, Garnett SP, Paxton SJ, Lister NB. Treatment of obesity, with a dietary component, and eating disorder risk in children and adolescents: A systematic review with meta-analysis. Obes Rev. 2019;20:1287–98. doi: 10.1111/obr.12866.

Source: PubMed

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