A novel interactive mobile health support system for pediatric obesity treatment: a randomized controlled feasibility trial

Linnea Johansson, Emilia Hagman, Pernilla Danielsson, Linnea Johansson, Emilia Hagman, Pernilla Danielsson

Abstract

Background: In order to achieve improved weight status, behavioral pediatric obesity treatment is resource intensive. Mobile Health (mHealth) is more accessible than standard care but effective approaches are scarce. Therefore, the aim of this feasibility trial was to study trial design, mHealth usage, compliance, and acceptability of a novel mHealth approach in pediatric obesity treatment.

Methods: This six-month parallel two-arm feasibility trial took place at three pediatric outpatient clinics in Stockholm, Sweden. Participants, 5-12 years, starting obesity treatment were randomized to using an mHealth support system as an addition to standard care (intervention) or to standard care alone (control). The intervention included daily self-monitoring of weight transferred to a mobile application (app) used by parents, a website in which clinicians could track treatment progress, prespecified treatment goals for change in degree of obesity shown in the app and on the website, and text message interactions between clinicians and parents. The main outcome was description of feasibility. Height and weight were measured at baseline, three, and 6 months to explore changes in body mass index standard deviation score (BMI SDS).

Results: Of 40 children eligible for inclusion, 28 agreed to participate (54% girls) and were randomized to intervention (n = 15) or control (n = 13). Weight was measured at home regularly throughout the entire trial period by 12/15 children in the intervention group. Attendance at appointments were better in the intervention group (p = 0.024). Both parents and clinicians had a positive experience and found the mHealth support system accessible. At 6 months the intervention group had a greater reduction of 0.24 units in BMI SDS than standard care (- 0.23 vs. 0.01, p = 0.002).

Conclusions: The mHealth support system was a feasible and innovative treatment approach which, in addition to standard care, generated better treatment results than standard care alone. Future research should evaluate the treatment effects over a longer follow-up time in a larger study sample.

Trial registration: This trial was retrospectively registered at ClinicalTrials.gov , ID: NCT03380598 , on November 8, 2017.

Keywords: Feasibility; Mobile health; Obesity treatment; Pediatric obesity; Self-monitoring.

Conflict of interest statement

Professor Claude Marcus, one of the founders and shareholders of Health Support Sweden AB—which developed Provement—is a mentor who has no formal authority over the research group to which the authors belong. The authors have not received any funding from Health Support Sweden AB for this research, nor for any other work.

Figures

Fig. 1
Fig. 1
Illustration of the mHealth support system. Layout by Love Marcus. *BMI SDS = Body mass index standard deviation score
Fig. 2
Fig. 2
Participant flow chart for allocation and received treatment. Completers and non-completers for baseline and each follow-up are presented together with measured anthropometrics (height and weight) and parents’ response frequency to the questionnaires about their expectations and treatment experience. *BMI SDS = Body mass index standard deviation score
Fig. 3
Fig. 3
The weekly number of weights per month, for study completers using the mHealth support system (N = 12). The box illustrates the mean value(x) and the median (line) with the first and third quartile. The whiskers show the minimum and maximum values
Fig. 4
Fig. 4
Changes in BMI SDS from baseline to follow-up at three and 6 months for all study subjects (intervention n = 15, control n = 13).¤ Mean change in BMI SDS, with 95% confidence interval. *A p-value of < 0.05 was statistically significant. P-values are based on Student’s t-test

References

    1. Bygdell M, Ohlsson C, Celind J, Saternus J, Sonden A, Kindblom JM. The rise and the recent decline of childhood obesity in Swedish boys: the BEST cohort. Int J Obes. 2017;41(5):807–812. doi: 10.1038/ijo.2017.23.
    1. Hagman E, Danielsson P, Lindberg L, Marcus C. Paediatric obesity treatment during 14 years in Sweden: Lessons from the Swedish Childhood Obesity Treatment Register-BORIS. Pediatr Obes. 2020: .
    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(23):2427–2444. doi: 10.1001/jama.2017.0332.
    1. Oude Luttikhuis H, Baur L, Jansen H, Shrewsbury VA, O'Malley C, Stolk RP, et al.. Interventions for treating obesity in children. Cochrane Database Syst Rev. 2009(1): .
    1. Golan M, Kaufman V, Shahar DR. Childhood obesity treatment: targeting parents exclusively v. parents and children. Br J Nutr. 2006;95(5):1008–1015. doi: 10.1079/BJN20061757.
    1. Skelton JA, Beech BM. Attrition in paediatric weight management: a review of the literature and new directions. Obes Rev. 2011;12(5):273–281. doi: 10.1111/j.1467-789X.2010.00803.x.
    1. Marcin JP, Ellis J, Mawis R, Nagrampa E, Nesbitt TS, Dimand RJ. Using telemedicine to provide pediatric subspecialty care to children with special health care needs in an underserved rural community. Pediatrics. 2004;113(1 Pt 1):1–6. doi: 10.1542/peds.113.1.1.
    1. Forsell C, Gronowitz E, Larsson Y, Kjellberg BM, Friberg P, Mårild SJAP. Four-year outcome of randomly assigned lifestyle treatments in primary care of children with obesity. Acta Paediatrica (Oslo, Norway : 1992) 2019;108(4):718–724. doi: 10.1111/apa.14583.
    1. McKay FH, Cheng C, Wright A, Shill J, Stephens H, Uccellini M. Evaluating mobile phone applications for health behaviour change: a systematic review. J Telemed Telecare. 2018;24(1):22–30. doi: 10.1177/1357633X16673538.
    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(6):403–409. doi: 10.1111/ijpo.12002.
    1. Sharifi M, Dryden EM, Horan CM, Price S, Marshall R, Hacker K, et al. Leveraging text messaging and mobile technology to support pediatric obesity-related behavior change: a qualitative study using parent focus groups and interviews. J Med Internet Res. 2013;15(12):e272. doi: 10.2196/jmir.2780.
    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(5):347–355. 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(1):5–17. doi: 10.1111/jspn.12134.
    1. de Niet J, Timman R, Bauer S, van den Akker E, Buijks H, de Klerk C, et al. The effect of a short message service maintenance treatment on body mass index and psychological well-being in overweight and obese children: a randomized controlled trial. Pediatr Obes. 2012;7(3):205–219. doi: 10.1111/j.2047-6310.2012.00048.x.
    1. Germann JN, Kirschenbaum DS, Rich BH. Child and parental self-monitoring as determinants of success in the treatment of morbid obesity in low-income minority children. J Pediatr Psychol. 2007;32(1):111–121. doi: 10.1093/jpepsy/jsl007.
    1. Burke LE, Wang J, Sevick MA. Self-monitoring in weight loss: a systematic review of the literature. J Am Diet Assoc. 2011;111(1):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 (Silver Spring) 2007;15(12):3091–3096. doi: 10.1038/oby.2007.368.
    1. Yon BA, Johnson RK, Harvey-Berino J, Gold BC. The use of a personal digital assistant for dietary self-monitoring does not improve the validity of self-reports of energy intake. J Am Diet Assoc. 2006;106(8):1256–1259. doi: 10.1016/j.jada.2006.05.004.
    1. Prince SA, Adamo KB, Hamel ME, Hardt J, Gorber SC, Tremblay M. A comparison of direct versus self-report measures for assessing physical activity in adults: a systematic review. Int J Behav Nutr Phys Act. 2008;5(1):56. doi: 10.1186/1479-5868-5-56.
    1. Tsigilis N. Can secondary school students' self-reported measures of height and weight be trusted? An effect size approach. Eur J Pub Health. 2006;16(5):532–535. doi: 10.1093/eurpub/ckl050.
    1. Cole TJ, Lobstein T. Extended international (IOTF) body mass index cut-offs for thinness, overweight and obesity. Pediatr Obes. 2012;7(4):284–294. doi: 10.1111/j.2047-6310.2012.00064.x.
    1. Barlow SE. Expert committee recommendations regarding the prevention, assessment, and treatment of child and adolescent overweight and obesity: summary report. Pediatrics. 2007;120(Suppl 4):S164–S192. doi: 10.1542/peds.2007-2329C.
    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(9):1287–1298. doi: 10.1111/obr.12866.
    1. Wing RR, Tate DF, Gorin AA, Raynor HA, Fava JL. A self-regulation program for maintenance of weight loss. N Engl J Med. 2006;355(15):1563–1571. doi: 10.1056/NEJMoa061883.
    1. Turk MW, Elci OU, Wang J, Sereika SM, Ewing LJ, Acharya SD, et al. Self-monitoring as a mediator of weight loss in the SMART randomized clinical trial. Int J Behav Med. 2013;20(4):556–561. doi: 10.1007/s12529-012-9259-9.
    1. Bala N, Price SN, Horan CM, Gerber MW, Taveras EM. Use of Telehealth to enhance Care in a Family-Centered Childhood Obesity Intervention. Clin Pediatr (Phila) 2019;58(7):789–797. doi: 10.1177/0009922819837371.
    1. Cote MP, Byczkowski T, Kotagal U, Kirk S, Zeller M, Daniels S. Service quality and attrition: an examination of a pediatric obesity program. Int J Qual Health Care. 2004;16(2):165–173. doi: 10.1093/intqhc/mzh015.
    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(6):461–473. doi: 10.1089/chi.2014.0060.
    1. Armstrong S, Mendelsohn A, Bennett G, Taveras EM, Kimberg A, Kemper AR. Texting motivational interviewing: a randomized controlled trial of motivational interviewing text messages designed to augment childhood obesity treatment. Child Obes. 2018;14(1):4–10. doi: 10.1089/chi.2017.0089.
    1. Benn Y, Webb TL, Chang BP, Harkin B. What is the psychological impact of self-weighing? A meta-analysis. Health Psychol Rev. 2016;10(2):187–203. doi: 10.1080/17437199.2016.1138871.
    1. Shieh C, Knisely MR, Clark D, Carpenter JS. Self-weighing in weight management interventions: a systematic review of literature. Obes Res Clin Pract. 2016;10(5):493–519. doi: 10.1016/j.orcp.2016.01.004.
    1. Zheng Y, Klem ML, Sereika SM, Danford CA, Ewing LJ, Burke LE. Self-weighing in weight management: a systematic literature review. Obesity (Silver Spring) 2015;23(2):256–265. doi: 10.1002/oby.20946.
    1. Steinberg DM, Tate DF, Bennett GG, Ennett S, Samuel-Hodge C, Ward DS. Daily self-weighing and adverse psychological outcomes: a randomized controlled trial. Am J Prev Med. 2014;46(1):24–29. doi: 10.1016/j.amepre.2013.08.006.
    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(2):143–150. doi: 10.1037/hea0000689.
    1. Baker RC, Kirschenbaum DSJBT. Self-monitoring may be necessary for successful weight control. Behav Ther. 1993;24(3):377–394. doi: 10.1016/S0005-7894(05)80212-6.
    1. Direito A, Jiang Y, Whittaker R, Maddison R. Apps for IMproving FITness and increasing physical activity among young people: the AIMFIT pragmatic randomized controlled trial. J Med Internet Res. 2015;17(8):e210. doi: 10.2196/jmir.4568.
    1. Sardi L, Idri A, Fernandez-Aleman JL. A systematic review of gamification in e-health. J Biomed Inform. 2017;71:31–48. doi: 10.1016/j.jbi.2017.05.011.
    1. Ford AL, Hunt LP, Cooper A, Shield JP. What reduction in BMI SDS is required in obese adolescents to improve body composition and cardiometabolic health? Arch Dis Child. 2010;95(4):256–261. doi: 10.1136/adc.2009.165340.
    1. Elvsaas IKO, Giske L, Fure B, Juvet LK. Multicomponent lifestyle interventions for treating overweight and obesity in children and adolescents: a systematic review and meta-analyses. J Obes. 2017;2017:5021902. doi: 10.1155/2017/5021902.
    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. Hagman E, Danielsson P, Brandt L, Ekbom A, Marcus C. Association between impaired fasting glycaemia in pediatric obesity and type 2 diabetes in young adulthood. Nutr Diabetes. 2016;6(8):e227–e22e. doi: 10.1038/nutd.2016.34.
    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(3):e1003078. doi: 10.1371/journal.pmed.1003078.

Source: PubMed

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