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Correlates of metabolic syndrome among young Brazilian adolescents population

BACKGROUND: Findings available in literature indicate that metabolic syndrome (MetS) diagnosed in young ages tends to remain in adulthood. The aim of the study was to identify demographic, nutritional, anthropometric and behavioral correlates of MetS in a sample of adolescents from Dourados, Mato Gr...

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Autores principales: dos Santos, Michel Coutinho, de Castro Coutinho, Ana Paula Cicci, de Souza Dantas, Mônica, Yabunaka, Letícia Ayran Medina, Guedes, Dartagnan Pinto, Oesterreich, Silvia Aparecida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6035391/
https://www.ncbi.nlm.nih.gov/pubmed/29980231
http://dx.doi.org/10.1186/s12937-018-0371-9
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author dos Santos, Michel Coutinho
de Castro Coutinho, Ana Paula Cicci
de Souza Dantas, Mônica
Yabunaka, Letícia Ayran Medina
Guedes, Dartagnan Pinto
Oesterreich, Silvia Aparecida
author_facet dos Santos, Michel Coutinho
de Castro Coutinho, Ana Paula Cicci
de Souza Dantas, Mônica
Yabunaka, Letícia Ayran Medina
Guedes, Dartagnan Pinto
Oesterreich, Silvia Aparecida
author_sort dos Santos, Michel Coutinho
collection PubMed
description BACKGROUND: Findings available in literature indicate that metabolic syndrome (MetS) diagnosed in young ages tends to remain in adulthood. The aim of the study was to identify demographic, nutritional, anthropometric and behavioral correlates of MetS in a sample of adolescents from Dourados, Mato Grosso do Sul, Brazil. METHODOLOGY: This is a cross-sectional school-based study involving 274 participants aged 12–18 years (186 girls and 88 boys). Anthropometric measurements were performed and a questionnaire with structured questions was applied for data collection. MetS was identified according to criteria proposed by the International Diabetes Federation. Data were statistically treated using bivariate analysis and hierarchical multiple regression. RESULTS: The proportion of adolescents identified with MetS was equivalent to 4.7% [95% CI (3.6–6.0)]. Multivariate analysis showed that older age (OR = 1.22 [1.04–1.73]) and higher economic class (OR = 1.25 [1.07–1.96]) were significantly associated with MetS. Among behavioral factors, longer recreational screen time (OR = 1.26 [1.05–1.94]) and low fruits/vegetables intake (OR = 1.49 [1.23–2.41]) were independently associated with MetS. Likewise, excess body weight (OR = 1.52 [1.24–2.41]) was significantly associated with the outcome. CONCLUSION: The high proportion of adolescents with MetS and the identification of their correlates reinforce the need for early life style intervention and awareness programs in this population group.
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spelling pubmed-60353912018-07-09 Correlates of metabolic syndrome among young Brazilian adolescents population dos Santos, Michel Coutinho de Castro Coutinho, Ana Paula Cicci de Souza Dantas, Mônica Yabunaka, Letícia Ayran Medina Guedes, Dartagnan Pinto Oesterreich, Silvia Aparecida Nutr J Research BACKGROUND: Findings available in literature indicate that metabolic syndrome (MetS) diagnosed in young ages tends to remain in adulthood. The aim of the study was to identify demographic, nutritional, anthropometric and behavioral correlates of MetS in a sample of adolescents from Dourados, Mato Grosso do Sul, Brazil. METHODOLOGY: This is a cross-sectional school-based study involving 274 participants aged 12–18 years (186 girls and 88 boys). Anthropometric measurements were performed and a questionnaire with structured questions was applied for data collection. MetS was identified according to criteria proposed by the International Diabetes Federation. Data were statistically treated using bivariate analysis and hierarchical multiple regression. RESULTS: The proportion of adolescents identified with MetS was equivalent to 4.7% [95% CI (3.6–6.0)]. Multivariate analysis showed that older age (OR = 1.22 [1.04–1.73]) and higher economic class (OR = 1.25 [1.07–1.96]) were significantly associated with MetS. Among behavioral factors, longer recreational screen time (OR = 1.26 [1.05–1.94]) and low fruits/vegetables intake (OR = 1.49 [1.23–2.41]) were independently associated with MetS. Likewise, excess body weight (OR = 1.52 [1.24–2.41]) was significantly associated with the outcome. CONCLUSION: The high proportion of adolescents with MetS and the identification of their correlates reinforce the need for early life style intervention and awareness programs in this population group. BioMed Central 2018-07-06 /pmc/articles/PMC6035391/ /pubmed/29980231 http://dx.doi.org/10.1186/s12937-018-0371-9 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.
spellingShingle Research
dos Santos, Michel Coutinho
de Castro Coutinho, Ana Paula Cicci
de Souza Dantas, Mônica
Yabunaka, Letícia Ayran Medina
Guedes, Dartagnan Pinto
Oesterreich, Silvia Aparecida
Correlates of metabolic syndrome among young Brazilian adolescents population
title Correlates of metabolic syndrome among young Brazilian adolescents population
title_full Correlates of metabolic syndrome among young Brazilian adolescents population
title_fullStr Correlates of metabolic syndrome among young Brazilian adolescents population
title_full_unstemmed Correlates of metabolic syndrome among young Brazilian adolescents population
title_short Correlates of metabolic syndrome among young Brazilian adolescents population
title_sort correlates of metabolic syndrome among young brazilian adolescents population
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6035391/
https://www.ncbi.nlm.nih.gov/pubmed/29980231
http://dx.doi.org/10.1186/s12937-018-0371-9
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