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

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 th...

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Detalles Bibliográficos
Autores principales: Hagman, Emilia, Johansson, Linnea, Kollin, Claude, Marcus, Erik, Drangel, Andreas, Marcus, Love, Marcus, Claude, Danielsson, Pernilla
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9314258/
https://www.ncbi.nlm.nih.gov/pubmed/35641569
http://dx.doi.org/10.1038/s41366-022-01146-8
Descripción
Sumario: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. CLINICALTRIAL.GOV ID: NCT04323215