131315 20240319081011.0 doi 10.1093/jamia/ocac108 sideral 130346 ART-2022-130346 eng Arriba Muñoz, Antonio de Universidad de Zaragoza (orcid)0000-0002-2865-5813 Automated growth monitoring app (GROWIN): a mobile Health (mHealth) tool to improve the diagnosis and early management of growth and nutritional disorders in childhood 2022 Access copy available to the general public Unrestricted Objective: To 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). Methods: We 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. Results: A 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/Conclusions: The 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. info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 6.4 2022 COMPUTER SCIENCE, INFORMATION SYSTEMS 30 / 158 = 0.19 2022 Q1 T1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 23 / 110 = 0.209 2022 Q1 T1 INFORMATION SCIENCE & LIBRARY SCIENCE 14 / 84 = 0.167 2022 Q1 T1 MEDICAL INFORMATICS 6 / 31 = 0.194 2022 Q1 T1 HEALTH CARE SCIENCES & SERVICES 10 / 106 = 0.094 2022 Q1 T1 2.44 2022 Health Informatics 2022 Q1 11.7 2022 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion García Castellanos, Maria Teresa Domínguez Cajal, Mercedes Beisti Ortego, Anunciacion Martínez Ruiz, Ignacio Universidad de Zaragoza (orcid)0000-0002-2887-2105 Labarta Aizpun, Jose Ignacio Universidad de Zaragoza (orcid)0000-0003-2832-2266 1011 670 Universidad de Zaragoza Dpto. Microb.Ped.Radio.Sal.Pú. Área Pediatría 5008 560 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Ingeniería Telemática 29, 9 (2022), 1508-1517 J. Am. Med. Inform. Assoc. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION 1067-5027 716476 http://zaguan.unizar.es/record/131315/files/texto_completo.pdf Postprint 1734922 http://zaguan.unizar.es/record/131315/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:131315 articulos driver 2024-03-18-15:09:21 ARTICLE