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Current dichotomous metrics obscure trends in severe and extreme child growth failure
Historically, the prevalence of child growth failure (CGF) has been tracked dichotomously as the proportion of children more than 2 SDs below the median of the World Health Organization growth standards. However, this conventional “thresholding” approach fails to recognize child growth as a spectrum...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9122330/ https://www.ncbi.nlm.nih.gov/pubmed/35594349 http://dx.doi.org/10.1126/sciadv.abm8954 |
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author | Fitzgerald, Ryan Manguerra, Helena Arndt, Michael B. Gardner, William M. Chang, Ya-Yin Zigler, Bethany Taylor, Heather Jean Bienhoff, Kelly Smith, David L. Murray, Christopher J. L. Hay, Simon I. Reiner, Robert C. Kassebaum, Nicholas J. |
author_facet | Fitzgerald, Ryan Manguerra, Helena Arndt, Michael B. Gardner, William M. Chang, Ya-Yin Zigler, Bethany Taylor, Heather Jean Bienhoff, Kelly Smith, David L. Murray, Christopher J. L. Hay, Simon I. Reiner, Robert C. Kassebaum, Nicholas J. |
author_sort | Fitzgerald, Ryan |
collection | PubMed |
description | Historically, the prevalence of child growth failure (CGF) has been tracked dichotomously as the proportion of children more than 2 SDs below the median of the World Health Organization growth standards. However, this conventional “thresholding” approach fails to recognize child growth as a spectrum and obscures trends in populations with the highest rates of CGF. Our analysis presents the first ever estimates of entire distributions of HAZ, WHZ, and WAZ for each of 204 countries and territories from 1990 to 2020 for children less than 5 years old by age group and sex. This approach reflects the continuous nature of CGF, allows us to more comprehensively assess shrinking or widening disparities over time, and reveals otherwise hidden trends that disproportionately affect the most vulnerable populations. |
format | Online Article Text |
id | pubmed-9122330 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-91223302022-06-01 Current dichotomous metrics obscure trends in severe and extreme child growth failure Fitzgerald, Ryan Manguerra, Helena Arndt, Michael B. Gardner, William M. Chang, Ya-Yin Zigler, Bethany Taylor, Heather Jean Bienhoff, Kelly Smith, David L. Murray, Christopher J. L. Hay, Simon I. Reiner, Robert C. Kassebaum, Nicholas J. Sci Adv Social and Interdisciplinary Sciences Historically, the prevalence of child growth failure (CGF) has been tracked dichotomously as the proportion of children more than 2 SDs below the median of the World Health Organization growth standards. However, this conventional “thresholding” approach fails to recognize child growth as a spectrum and obscures trends in populations with the highest rates of CGF. Our analysis presents the first ever estimates of entire distributions of HAZ, WHZ, and WAZ for each of 204 countries and territories from 1990 to 2020 for children less than 5 years old by age group and sex. This approach reflects the continuous nature of CGF, allows us to more comprehensively assess shrinking or widening disparities over time, and reveals otherwise hidden trends that disproportionately affect the most vulnerable populations. American Association for the Advancement of Science 2022-05-20 /pmc/articles/PMC9122330/ /pubmed/35594349 http://dx.doi.org/10.1126/sciadv.abm8954 Text en Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Social and Interdisciplinary Sciences Fitzgerald, Ryan Manguerra, Helena Arndt, Michael B. Gardner, William M. Chang, Ya-Yin Zigler, Bethany Taylor, Heather Jean Bienhoff, Kelly Smith, David L. Murray, Christopher J. L. Hay, Simon I. Reiner, Robert C. Kassebaum, Nicholas J. Current dichotomous metrics obscure trends in severe and extreme child growth failure |
title | Current dichotomous metrics obscure trends in severe and extreme child growth failure |
title_full | Current dichotomous metrics obscure trends in severe and extreme child growth failure |
title_fullStr | Current dichotomous metrics obscure trends in severe and extreme child growth failure |
title_full_unstemmed | Current dichotomous metrics obscure trends in severe and extreme child growth failure |
title_short | Current dichotomous metrics obscure trends in severe and extreme child growth failure |
title_sort | current dichotomous metrics obscure trends in severe and extreme child growth failure |
topic | Social and Interdisciplinary Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9122330/ https://www.ncbi.nlm.nih.gov/pubmed/35594349 http://dx.doi.org/10.1126/sciadv.abm8954 |
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