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Culturally adapted mobile application for optimizing metabolic control in type 1 diabetes

A pilot study

Bibliographic Data

ID14966611
AuthorsJenny L Cepeda-Marte (Universidad Iberoamericana, Research Hub, Santo Domingo, Dominican Republic.), Jenny Cepeda-Marte (Universidad Iberoamericana, corresponding author), Arelis Moore de Peralta (0000-0001-7279-2308), Arelis Moore (Clemson University), Carlos B Ruiz-Matuk (0000-0003-2681-4953, Universidad Iberoamericana, Research Hub, Santo Domingo, Dominican Republic.), Daniela D Salado-Díaz (Universidad Iberoamericana, Research Hub, Santo Domingo, Dominican Republic.), Pablo Socias-Pappaterra (Universidad Iberoamericana, Research Hub, Santo Domingo, Dominican Republic.), Vivian W Y Ho-Sang (Universidad Iberoamericana, Research Hub, Santo Domingo, Dominican Republic.), Isabella Mella-Bonilla (Universidad Iberoamericana, Research Hub, Santo Domingo, Dominican Republic.)
Year2024
Volume48
Pages1
Publication date2024-09-16
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueRevista Panamericana de Salud Pública (JOURNAL)
Journal identifiersISSN: 1020-4989 • E-ISSN: 1680-5348
PublisherPan American Health Organization (PUBLISHER • US)
DOI10.26633/rpsp.2024.86
PMID39286660
OpenAlexW4402582116
LanguageEN
References cited29

Objective. To evaluate whether use of a culturally adapted mobile application (app) for adolescents with type 1 diabetes is associated with improved metabolic control. Methods. The Dominican Republic’s National Institute of Diabetes, Endocrinology, and Nutrition and the Learning to Live clinic recruited 23 pediatric participants for the study. Blood tests were performed before and after use of the app for a period of 3 months. Based on the user profile, participants were encouraged to use the app’s bolus insulin calculator after each meal. The app included a list of regionally and culturally specific foods, color-coded to indicate a high glycemic index (GI) as red; medium GI as yellow; and low GI as green. The color-coding was designed to assist participants in making healthier eating choices. Results. There were statistically significant improvements in lipid profile. Mean high-density lipoprotein values rose to acceptable levels, while low-density lipoproteins and triglyceride levels fell to the recommended values. The overall quality of life increased, although glycated hemoglobin levels showed no statistically significant changes. Conclusion. The findings of this study suggest that using this culturally tailored app can help young patients with type 1 diabetes to improve metabolic health

Control (management · Diabetes mellitus · Metabolic control analysis · Type 2 diabetes · Computer Science · Diabetes Management and Research · Diet, Metabolism, and Disease · Medicine · Mobile Health and mHealth Applications · Psychology · Artificial Intelligence · Endocrinology

  • Effect of smartphone apps on glycemic control in young patients with type 1 diabetes

    Open Access•Linhua Pi, Xiajie Shi et al.•Frontiers in Public Health•2023

  • Glycemic index, glycemic load, and chronic disease risk—a meta-analysis of observational studies

    Open Access•Alan W Barclay, Peter Petocz et al.•2008

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