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Metabolic syndrome among children and adolescents in low and middle income countries: a systematic review and meta-analysis

BACKGROUND: Metabolic syndrome (MetS) is a clustering of cardiovascular risk factors, which is rising in the low and middle income countries (LMICs). There are various studies with inconsistent findings that are inconclusive for policy makers and program planners. Thus, this systematic review and me...

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Autores principales: Bitew, Zebenay Workneh, Alemu, Ayinalem, Ayele, Ermias Getaneh, Tenaw, Zelalem, Alebel, Anmut, Worku, Teshager
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7590497/
https://www.ncbi.nlm.nih.gov/pubmed/33117455
http://dx.doi.org/10.1186/s13098-020-00601-8
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author Bitew, Zebenay Workneh
Alemu, Ayinalem
Ayele, Ermias Getaneh
Tenaw, Zelalem
Alebel, Anmut
Worku, Teshager
author_facet Bitew, Zebenay Workneh
Alemu, Ayinalem
Ayele, Ermias Getaneh
Tenaw, Zelalem
Alebel, Anmut
Worku, Teshager
author_sort Bitew, Zebenay Workneh
collection PubMed
description BACKGROUND: Metabolic syndrome (MetS) is a clustering of cardiovascular risk factors, which is rising in the low and middle income countries (LMICs). There are various studies with inconsistent findings that are inconclusive for policy makers and program planners. Thus, this systematic review and meta-analysis aimed at estimating the pooled prevalence of MetS and its components in LMICs. METHODS: Electronic searches were conducted in international databases including PubMed, Web of Science, EMBASE (Elsevier), Scopus, CINAHL (EBSCOhost), Science direct (Elsevier), Food Science and Technology Abstracts (FSTA), Global Health and Medline, and other sources (World Cat, Google Scholar, and Google). The pooled estimates were computed in the random effect model. The pooled prevalence was computed using the three diagnostic methods (IDF, ATP III and de Ferranti). Publication bias was verified using funnel plot and Egger’s regression test. Subgroup and sensitivity analysis were performed to identify the possible sources of heterogeneity among the included studies. RESULT: In this study, 142,142 children and adolescents from 76 eligible articles were included to compute the pooled prevalence of MetS and its components in LMCIs. MeTs among overweight and obese population was computed from 20 articles with the pooled prevalence of 24.09%, 36.5%, and 56.32% in IDF, ATP III and de Ferranti criteria, respectively. Similarly, a total of 56 articles were eligible to compute the pooled prevalence of MetS in the general population of children and adolescents. Hence, Mets was found in 3.98% (IDF), 6.71% (ATP III) and 8.91% (de Ferranti) of study subjects. Regarding the components of MetS, abdominal obesity was the major component in overweight and obese population and low HDL-C was the most common component in the general population. This study also revealed that males were highly affected by MetS than females. CONCLUSION: This study illustrates that MetS among children and adolescents is an emerging public health challenge in LMICs, where the prevalence of obesity is on the move. Preventive strategies such as community and school based intervention need to be designed. Promoting physical activities and healthy eating behaviors could avert this problem.
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spelling pubmed-75904972020-10-27 Metabolic syndrome among children and adolescents in low and middle income countries: a systematic review and meta-analysis Bitew, Zebenay Workneh Alemu, Ayinalem Ayele, Ermias Getaneh Tenaw, Zelalem Alebel, Anmut Worku, Teshager Diabetol Metab Syndr Research BACKGROUND: Metabolic syndrome (MetS) is a clustering of cardiovascular risk factors, which is rising in the low and middle income countries (LMICs). There are various studies with inconsistent findings that are inconclusive for policy makers and program planners. Thus, this systematic review and meta-analysis aimed at estimating the pooled prevalence of MetS and its components in LMICs. METHODS: Electronic searches were conducted in international databases including PubMed, Web of Science, EMBASE (Elsevier), Scopus, CINAHL (EBSCOhost), Science direct (Elsevier), Food Science and Technology Abstracts (FSTA), Global Health and Medline, and other sources (World Cat, Google Scholar, and Google). The pooled estimates were computed in the random effect model. The pooled prevalence was computed using the three diagnostic methods (IDF, ATP III and de Ferranti). Publication bias was verified using funnel plot and Egger’s regression test. Subgroup and sensitivity analysis were performed to identify the possible sources of heterogeneity among the included studies. RESULT: In this study, 142,142 children and adolescents from 76 eligible articles were included to compute the pooled prevalence of MetS and its components in LMCIs. MeTs among overweight and obese population was computed from 20 articles with the pooled prevalence of 24.09%, 36.5%, and 56.32% in IDF, ATP III and de Ferranti criteria, respectively. Similarly, a total of 56 articles were eligible to compute the pooled prevalence of MetS in the general population of children and adolescents. Hence, Mets was found in 3.98% (IDF), 6.71% (ATP III) and 8.91% (de Ferranti) of study subjects. Regarding the components of MetS, abdominal obesity was the major component in overweight and obese population and low HDL-C was the most common component in the general population. This study also revealed that males were highly affected by MetS than females. CONCLUSION: This study illustrates that MetS among children and adolescents is an emerging public health challenge in LMICs, where the prevalence of obesity is on the move. Preventive strategies such as community and school based intervention need to be designed. Promoting physical activities and healthy eating behaviors could avert this problem. BioMed Central 2020-10-27 /pmc/articles/PMC7590497/ /pubmed/33117455 http://dx.doi.org/10.1186/s13098-020-00601-8 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
Bitew, Zebenay Workneh
Alemu, Ayinalem
Ayele, Ermias Getaneh
Tenaw, Zelalem
Alebel, Anmut
Worku, Teshager
Metabolic syndrome among children and adolescents in low and middle income countries: a systematic review and meta-analysis
title Metabolic syndrome among children and adolescents in low and middle income countries: a systematic review and meta-analysis
title_full Metabolic syndrome among children and adolescents in low and middle income countries: a systematic review and meta-analysis
title_fullStr Metabolic syndrome among children and adolescents in low and middle income countries: a systematic review and meta-analysis
title_full_unstemmed Metabolic syndrome among children and adolescents in low and middle income countries: a systematic review and meta-analysis
title_short Metabolic syndrome among children and adolescents in low and middle income countries: a systematic review and meta-analysis
title_sort metabolic syndrome among children and adolescents in low and middle income countries: a systematic review and meta-analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7590497/
https://www.ncbi.nlm.nih.gov/pubmed/33117455
http://dx.doi.org/10.1186/s13098-020-00601-8
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