Establishment of a Latin American dataset to enable the construction of gestational weight gain charts for adolescents.

Autor: Benjumea Rincón MV; University of Antioquia, Medellín, Colombia., Restrepo-Mesa SL; Research Group on Food and Human Nutrition, School of Nutrition and Dietetics, University of Antioquia, Medellin, Colombia., Bousquet Carrilho TR; Josué de Castro Nutrition Institute, Nutritional Epidemiology Observatory, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil., Kac G; Josué de Castro Nutrition Institute, Nutritional Epidemiology Observatory, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil., Atalah Samur E; Faculty of Medicine, University of Chile, Santiago, Chile., Cano Pulgarín JS; University of Antioquia, Medellín, Colombia., Estrada Restrepo A; Research Group on Demographics and Health, School of Nutrition and Dietetics, University of Antioquia, Medellín, Colombia., Santa Escobar CD; University of Antioquia, Medellín, Colombia.
Jazyk: angličtina
Zdroj: PloS one [PLoS One] 2024 Jan 26; Vol. 19 (1), pp. e0296981. Date of Electronic Publication: 2024 Jan 26 (Print Publication: 2024).
DOI: 10.1371/journal.pone.0296981
Abstrakt: Gestational weight gain is an important indicator for monitoring nutritional status during pregnancy. However, there are no gestational weight gain references created for adolescents or national datasets to enable the construction of such graphs up to date. This manuscript aims to describe the creation of a Latin American dataset to construct gestational weight gain references for adolescents aged 10-19 years old. Gestational weight gain data from studies conducted in nine countries (Argentina, Brazil, Chile, Colombia, Mexico, Panama, Paraguay, Peru, and Uruguay) collected between 2003 and 2021 were harmonized. Data on height, weight, and gestational age in at least two gestational trimesters were included. Pregnant adolescents should be free of diseases that could affect weight, and newborns should weigh between 2,500-4,000 g and be free of congenital malformations. The final dataset included 6,414 individuals after data cleaning. Heterogeneity between the countries was assessed by calculating standardized site differences for GWG and z scores of height-for-age. Several imputation procedures were tested, and approximately 10% of the first-trimester weights were imputed. The prevalence of individuals with underweight (1.5%) and obesity (5.3%) was low, which may lead to problems when modeling the curves for such BMI categories. Maternal height and gestational weight gain did not show significant differences by country, according to the standardized site differences. A harmonized dataset of nine countries with imputed data in the first trimester of pregnancy was prepared to construct Latin American gestational weight gain curves for adolescents.
Competing Interests: The authors have declared that no competing interests exist.
(Copyright: © 2024 Benjumea Rincón et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Databáze: MEDLINE
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