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Title: Deep data science to prevent and treat growth faltering in Maya children
Authors: Varela Silva, Maria Ines
Bogin, Barry
Galvez Sobral, J. Andres
Dickinson, Federico
Monserrat-Revillo, Susana
Healthy Birth, Growth, and 6 Development – Knowledge Integration (HBGDki) Initiative
Keywords: Stunting
Neurocognitive development
Data sharing
Issue Date: 2016
Publisher: © Macmillan Publishers Limited
Citation: VARELA SILVA, M.I. ...et al., 2016. Deep data science to prevent and treat growth faltering in Maya children. European Journal of Clinical Nutrition, 70 (6), pp. 679-680.
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.
Description: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License, http://creativecommons.org/licenses/ by/4.0/
Sponsor: The authors are grateful for support from the Bill & Melinda Gates Foundation, the Universidad del Valle de Guatemala, and Centro de Investigación y de Estudios Avanzados (CINVESTAV), Unidad Mérida, Mexico.
Version: Published
DOI: 10.1038/ejcn.2016.63
URI: https://dspace.lboro.ac.uk/2134/20752
Publisher Link: http://dx.doi.org/10.1038/ejcn.2016.63
ISSN: 1476-5640
Appears in Collections:Published Articles (Sport, Exercise and Health Sciences)

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