posted on 2016-04-01, 10:19authored byMaria Ines Varela Silva, Barry Bogin, J. Andres Galvez-Sobral, Federico Dickinson, Susana Monserrat-RevilloSusana Monserrat-Revillo, Growth and 6 Development – Knowledge Integration (HBGDki) Initiative Healthy Birth
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.
Funding
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.
History
School
Sport, Exercise and Health Sciences
Published in
European Journal of Clinical Nutrition
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.
This work is made available according to the conditions of the Creative Commons Attribution (CC BY 4.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/
by/4.0/
Acceptance date
2016-03-21
Publication date
2016
Notes
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/