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Overweight and obesity of school-age children in El Salvador according to two international systems: a population-based multilevel and spatial analysis

BACKGROUND: The World Health Organization (WHO-2007) and the International Obesity Task Force (IOTF-Cole) systems assess child weight status. However, derived estimations often differ. We aimed to a) compare the prevalence of overweight and obesity, b) analyze individual and contextual factors assoc...

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Autores principales: Pérez, Wilton, Melgar, Paul, Garcés, Ana, de Marquez, Ana Daysi, Merino, Gerardo, Siu, Carolina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7227092/
https://www.ncbi.nlm.nih.gov/pubmed/32410611
http://dx.doi.org/10.1186/s12889-020-08747-w
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author Pérez, Wilton
Melgar, Paul
Garcés, Ana
de Marquez, Ana Daysi
Merino, Gerardo
Siu, Carolina
author_facet Pérez, Wilton
Melgar, Paul
Garcés, Ana
de Marquez, Ana Daysi
Merino, Gerardo
Siu, Carolina
author_sort Pérez, Wilton
collection PubMed
description BACKGROUND: The World Health Organization (WHO-2007) and the International Obesity Task Force (IOTF-Cole) systems assess child weight status. However, derived estimations often differ. We aimed to a) compare the prevalence of overweight and obesity, b) analyze individual and contextual factors associated with child weight using multilevel analysis and c) explore the spatial distribution of overweight and obesity using both classification systems. METHODS: We used data from the 2015/2016 National School Height and Weight Census in El Salvador. Information on 111,991 children aged 6.0–9.9 years attending the first grade was analyzed. Body mass index Z-score (BMIZ), overweight and obesity were defined with both classification systems. Weighted kappa was used to measure agreement. Child, school and municipal potential determinants of BMIZ were examined by multilevel analysis. Municipal spatial clustering of overweight and obesity was tested using Moran’s Index and Getis-ord Gi* statistics. RESULTS: The combined prevalence of overweight and obesity was higher according to the WHO system than the IOTF (30.4% vs 23.1%). The weighted kappa was 0.83. Boys, children attending urban schools, children attending private schools, and children residing in municipalities with high human development index had higher BMIZ than their counterparts. The Moran’s indexes were positives and significant. Clusters of high prevalence (above the national prevalence) of overweight and obesity were found in 29 municipalities using the WHO and IOTF systems. For obesity, 28 and 23 municipalities in clusters of high prevalence were detected using the WHO and IOTF criteria, respectively. CONCLUSIONS: Overweight and obesity is high among school-age children in El Salvador. The prevalence of overweight and obesity was higher when using the WHO system, as compared to the IOTF system. Irrespective of the classification system, the multilevel and spatial analysis derived similar interpretations. These results support the need for national preventive interventions with targeting strategies to reduce overweight and obesity in school-age children.
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spelling pubmed-72270922020-05-27 Overweight and obesity of school-age children in El Salvador according to two international systems: a population-based multilevel and spatial analysis Pérez, Wilton Melgar, Paul Garcés, Ana de Marquez, Ana Daysi Merino, Gerardo Siu, Carolina BMC Public Health Research Article BACKGROUND: The World Health Organization (WHO-2007) and the International Obesity Task Force (IOTF-Cole) systems assess child weight status. However, derived estimations often differ. We aimed to a) compare the prevalence of overweight and obesity, b) analyze individual and contextual factors associated with child weight using multilevel analysis and c) explore the spatial distribution of overweight and obesity using both classification systems. METHODS: We used data from the 2015/2016 National School Height and Weight Census in El Salvador. Information on 111,991 children aged 6.0–9.9 years attending the first grade was analyzed. Body mass index Z-score (BMIZ), overweight and obesity were defined with both classification systems. Weighted kappa was used to measure agreement. Child, school and municipal potential determinants of BMIZ were examined by multilevel analysis. Municipal spatial clustering of overweight and obesity was tested using Moran’s Index and Getis-ord Gi* statistics. RESULTS: The combined prevalence of overweight and obesity was higher according to the WHO system than the IOTF (30.4% vs 23.1%). The weighted kappa was 0.83. Boys, children attending urban schools, children attending private schools, and children residing in municipalities with high human development index had higher BMIZ than their counterparts. The Moran’s indexes were positives and significant. Clusters of high prevalence (above the national prevalence) of overweight and obesity were found in 29 municipalities using the WHO and IOTF systems. For obesity, 28 and 23 municipalities in clusters of high prevalence were detected using the WHO and IOTF criteria, respectively. CONCLUSIONS: Overweight and obesity is high among school-age children in El Salvador. The prevalence of overweight and obesity was higher when using the WHO system, as compared to the IOTF system. Irrespective of the classification system, the multilevel and spatial analysis derived similar interpretations. These results support the need for national preventive interventions with targeting strategies to reduce overweight and obesity in school-age children. BioMed Central 2020-05-14 /pmc/articles/PMC7227092/ /pubmed/32410611 http://dx.doi.org/10.1186/s12889-020-08747-w Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Pérez, Wilton
Melgar, Paul
Garcés, Ana
de Marquez, Ana Daysi
Merino, Gerardo
Siu, Carolina
Overweight and obesity of school-age children in El Salvador according to two international systems: a population-based multilevel and spatial analysis
title Overweight and obesity of school-age children in El Salvador according to two international systems: a population-based multilevel and spatial analysis
title_full Overweight and obesity of school-age children in El Salvador according to two international systems: a population-based multilevel and spatial analysis
title_fullStr Overweight and obesity of school-age children in El Salvador according to two international systems: a population-based multilevel and spatial analysis
title_full_unstemmed Overweight and obesity of school-age children in El Salvador according to two international systems: a population-based multilevel and spatial analysis
title_short Overweight and obesity of school-age children in El Salvador according to two international systems: a population-based multilevel and spatial analysis
title_sort overweight and obesity of school-age children in el salvador according to two international systems: a population-based multilevel and spatial analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7227092/
https://www.ncbi.nlm.nih.gov/pubmed/32410611
http://dx.doi.org/10.1186/s12889-020-08747-w
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