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Prevalence of metabolic syndrome in adolescents based on three diagnostic definitions: a cross-sectional study
OBJECTIVE: There is no consensus as to the best criterion for the evaluation of metabolic syndrome (MS), impairing the estimation of its prevalence. This study aims to compare MS estimates using three recommended definitions for adolescents based on a cross-sectional study nested in the Consortium o...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Sociedade Brasileira de Endocrinologia e Metabologia
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665060/ https://www.ncbi.nlm.nih.gov/pubmed/37249462 http://dx.doi.org/10.20945/2359-3997000000634 |
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author | Melo, Dejane de Almeida dos Santos, Alcione Miranda Silveira, Victor Nogueira da Cruz Silva, Michele Bezerra Diniz, Alcides da Silva |
author_facet | Melo, Dejane de Almeida dos Santos, Alcione Miranda Silveira, Victor Nogueira da Cruz Silva, Michele Bezerra Diniz, Alcides da Silva |
author_sort | Melo, Dejane de Almeida |
collection | PubMed |
description | OBJECTIVE: There is no consensus as to the best criterion for the evaluation of metabolic syndrome (MS), impairing the estimation of its prevalence. This study aims to compare MS estimates using three recommended definitions for adolescents based on a cross-sectional study nested in the Consortium of Brazilian Birth Cohorts in São Luís, Maranhão. SUBJECTS AND METHODS: A total of 2,515 adolescents aged between 18 and 19 years were evaluated. The criteria of International Diabetes Federation (IDF) and National Cholesterol Education Program Panel III (NCEP-ATP) modified by Cook and cols. (2003) and De Ferranti and cols. (2004) defined SM. To compare the estimates of MS prevalence, the chi-square, Fisher’s exact and Cohen’s Kappa index tests were used. RESULTS: Among the 2,064 participants evaluated in the final sample. The prevalence of MS ranged from 4.2% (95% CI: 3.3-5.1) to 10.2% (95% CI: 8.8-11.4). When comparing the estimates of MS prevalence in the total sample and by sex, a statistically significant difference was observed. The agreement between the criteria ranged from 0.42 (CI 95%: 0.35-0.49) to 0.55 (CI 95%: 0.48-0.62) in the total sample, 0.33 (CI 95%: 0.24-0.42) to 0.59 (95%CI: 0.47-0.71) among boys and 0.39 (95% CI: 0.26-0.52) to 0.54 (95% CI: 0.44-0.64) among girls. CONCLUSION: Different criteria provide different estimates for the prevalence of MS in adolescents, reflecting the importance of establishing a consensus. |
format | Online Article Text |
id | pubmed-10665060 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Sociedade Brasileira de Endocrinologia e Metabologia |
record_format | MEDLINE/PubMed |
spelling | pubmed-106650602023-05-29 Prevalence of metabolic syndrome in adolescents based on three diagnostic definitions: a cross-sectional study Melo, Dejane de Almeida dos Santos, Alcione Miranda Silveira, Victor Nogueira da Cruz Silva, Michele Bezerra Diniz, Alcides da Silva Arch Endocrinol Metab Original Article OBJECTIVE: There is no consensus as to the best criterion for the evaluation of metabolic syndrome (MS), impairing the estimation of its prevalence. This study aims to compare MS estimates using three recommended definitions for adolescents based on a cross-sectional study nested in the Consortium of Brazilian Birth Cohorts in São Luís, Maranhão. SUBJECTS AND METHODS: A total of 2,515 adolescents aged between 18 and 19 years were evaluated. The criteria of International Diabetes Federation (IDF) and National Cholesterol Education Program Panel III (NCEP-ATP) modified by Cook and cols. (2003) and De Ferranti and cols. (2004) defined SM. To compare the estimates of MS prevalence, the chi-square, Fisher’s exact and Cohen’s Kappa index tests were used. RESULTS: Among the 2,064 participants evaluated in the final sample. The prevalence of MS ranged from 4.2% (95% CI: 3.3-5.1) to 10.2% (95% CI: 8.8-11.4). When comparing the estimates of MS prevalence in the total sample and by sex, a statistically significant difference was observed. The agreement between the criteria ranged from 0.42 (CI 95%: 0.35-0.49) to 0.55 (CI 95%: 0.48-0.62) in the total sample, 0.33 (CI 95%: 0.24-0.42) to 0.59 (95%CI: 0.47-0.71) among boys and 0.39 (95% CI: 0.26-0.52) to 0.54 (95% CI: 0.44-0.64) among girls. CONCLUSION: Different criteria provide different estimates for the prevalence of MS in adolescents, reflecting the importance of establishing a consensus. Sociedade Brasileira de Endocrinologia e Metabologia 2023-05-29 /pmc/articles/PMC10665060/ /pubmed/37249462 http://dx.doi.org/10.20945/2359-3997000000634 Text en https://creativecommons.org/licenses/by/4.0/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 work is properly cited. |
spellingShingle | Original Article Melo, Dejane de Almeida dos Santos, Alcione Miranda Silveira, Victor Nogueira da Cruz Silva, Michele Bezerra Diniz, Alcides da Silva Prevalence of metabolic syndrome in adolescents based on three diagnostic definitions: a cross-sectional study |
title | Prevalence of metabolic syndrome in adolescents based on three diagnostic definitions: a cross-sectional study |
title_full | Prevalence of metabolic syndrome in adolescents based on three diagnostic definitions: a cross-sectional study |
title_fullStr | Prevalence of metabolic syndrome in adolescents based on three diagnostic definitions: a cross-sectional study |
title_full_unstemmed | Prevalence of metabolic syndrome in adolescents based on three diagnostic definitions: a cross-sectional study |
title_short | Prevalence of metabolic syndrome in adolescents based on three diagnostic definitions: a cross-sectional study |
title_sort | prevalence of metabolic syndrome in adolescents based on three diagnostic definitions: a cross-sectional study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665060/ https://www.ncbi.nlm.nih.gov/pubmed/37249462 http://dx.doi.org/10.20945/2359-3997000000634 |
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