Evidence map›Paper›PMID 35799406›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2022

Automated growth monitoring app (GROWIN): a mobile Health (mHealth) tool to improve the diagnosis and early management of growth and nutritional disorders in childhood.

Antonio de Arriba Muñoz, María Teresa García Castellanos, Mercedes Domínguez Cajal, Anunciación Beisti Ortego, Ignacio Martínez Ruiz, José Ignacio Labarta Aizpún

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Article in Journal of the American Medical Informatics Association : JAMIA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Antonio de Arriba MuñozPediatric Endocrinology, Hospital Universitario Miguel Servet, Zaragoza, Spain.
María Teresa García CastellanosPediatric Endocrinology, Hospital Universitario Miguel Servet, Zaragoza, Spain.
Mercedes Domínguez CajalPediatric Endocrinology, Hospital Universitario Miguel Servet, Zaragoza, Spain.
Anunciación Beisti OrtegoPediatric Endocrinology, Hospital Universitario Miguel Servet, Zaragoza, Spain.
Ignacio Martínez RuizInstituto Universitario de Investigación de Ingeniería de Aragón (I3A), Zaragoza University, Zaragoza, Spain.
José Ignacio Labarta AizpúnPediatric Endocrinology, Hospital Universitario Miguel Servet, Zaragoza, Spain.

Funding

MERCK
6 · The paper itself

Abstract

objectiveTo assess the functionality and feasibility of the GROWIN app for promoting early detection of growth disorders in childhood, supporting early interventions, and improving children's lifestyle by analyzing data collected over 3 years (2018-2020).

methodsWe retrospectively assessed the growth parameters (height, weight, body mass index [BMI], abdominal circumference) entered by users (caregivers/parents) in the GROWIN app. We also analyzed the potential health problems detected and the messages/recommendations the app showed. Finally, we assessed the possible impact/benefit of the app on the growth of the children.

resultsA total of 21 633 users (Spanish [65%], Latin American [30%], and others [5%]) entered 10.5 ± 8.3 measurements (0-15 y old). 1200 recommendations were for low height and 550 for low weight. 1250 improved their measurements. A specialist review was recommended in 500 patients due to low height. 2567 nutrition tests were run. All children with obesity (n = 855, BMI: 27.8 kg/m2 [2.25 SD]) completed the initial test with a follow-up of ≥1 year. Initial results (score: 8.1) showed poor eating habits (fast food, commercially baked goods, candy, etc.), with >90% not having breakfast. After 3-6 months, BMI decreased ≥1 point, and test scores increased ≥2 points. This benefit was maintained beyond 1 year and was correlated with an improvement in BMI (r = -.65, P = .01). DISCUSSION/

conclusionsThe GROWIN app represents an innovative automated solution for families to monitor growth. It allows the early detection of abnormal growth indicators during childhood and adolescence, promoting early interventions. Additionally, in children with obesity, an improvement in healthy nutritional habits and a decrease in BMI were observed.

Indexed as

Mobile ApplicationsTelemedicineAdolescentBody Mass IndexChildHumansObesityRetrospective Studiesdigital technologiesearly diagnosisgrowth monitoringmHealth applicationobesityprevention

Identifiers

PMID35799406
PMCPMC9382383

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.