Deep data science to prevent and treat growth faltering in Maya children.

Bibliographic Collection: 
CARTA-Inspired Publication
Publication Type: Journal Article
Authors: Varela-Silva, MI; Bogin, B; Sobral, JA; Dickinson, F; Monserrat-Revillo, S; Healthy Birth, Growth, and Development – Knowledge Integration (HBGDki) Initiative
Year of Publication: 2016
Journal: Eur J Clin Nutr
Volume: 70
Number: 6
Pagination: 679-80
Date Published: Jun
Publication Language: eng
ISBN Number: 0954-3007
Accession Number: 27094624
Abstract:

The Maya people are descended from the indigenous inhabitants of southern Mexico, Guatemala and adjacent regions of Central America. In Guatemala, 50% of infants and children are stunted (very low height-for-age), and some rural Maya regions have >70% children stunted. A large, longitudinal, intergenerational database was created to (1) provide deep data to prevent and treat somatic growth faltering and impaired neurocognitive development, (2) detect key dependencies and predictive relations between highly complex, time-varying, and interacting biological and cultural variables and (3) identify targeted multifactorial intervention strategies for field testing and validation. Contributions to this database included data from the Universidad del Valle de Guatemala Longitudinal Study of Child and Adolescent Development, child growth and intergenerational studies among the Maya in Mexico and studies about Maya migrants in the United States.

Author Address:

School of Sport, Exercise & Health Sciences, Loughborough University, Loughborough, UK. Centro de Investigaciones Educativas, Universidad del Valle de Guatemala, Guatemala City, Guatemala. Department of Human Ecology, Cinvestav-IPN, Mérida, Mexico. School of Sport, Exercise & Health Sciences, Loughborough University, Loughborough, UK.

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