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Metabolic Syndrome and Importance of Associated Variables in Children and Adolescents in Guabiruba - SC, Brazil
BACKGROUND: The risk factors that characterize metabolic syndrome (MetS) may be present in childhood and adolescence, increasing the risk of cardiovascular disease in adulthood. OBJECTIVE: Evaluate the prevalence of MetS and the importance of its associated variables, including insulin resistance (I...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Sociedade Brasileira de Cardiologia
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4523286/ https://www.ncbi.nlm.nih.gov/pubmed/25993484 http://dx.doi.org/10.5935/abc.20150040 |
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author | Rosini, Nilton Moura, Solange A. Z. Oppermann Rosini, Rodrigo Diegoli Machado, Marcos José da Silva, Edson Luiz |
author_facet | Rosini, Nilton Moura, Solange A. Z. Oppermann Rosini, Rodrigo Diegoli Machado, Marcos José da Silva, Edson Luiz |
author_sort | Rosini, Nilton |
collection | PubMed |
description | BACKGROUND: The risk factors that characterize metabolic syndrome (MetS) may be present in childhood and adolescence, increasing the risk of cardiovascular disease in adulthood. OBJECTIVE: Evaluate the prevalence of MetS and the importance of its associated variables, including insulin resistance (IR), in children and adolescents in the city of Guabiruba-SC, Brazil. METHODS: Cross-sectional study with 1011 students (6-14 years, 52.4% girls, 58.5% children). Blood samples were collected for measurement of biochemical parameters by routine laboratory methods. IR was estimated by the HOMA-IR index, and weight, height, waist circumference and blood pressure were determined. Multivariate logistic regression models were used to examine the associations between risk variables and MetS. RESULTS: The prevalence of MetS, IR, overweight and obesity in the cohort were 14%, 8.5%, 21% and 13%, respectively. Among students with MetS, 27% had IR, 33% were overweight, 45.5% were obese and 22% were eutrophic. IR was more common in overweight (48%) and obese (41%) students when compared with eutrophic individuals (11%; p = 0.034). The variables with greatest influence on the development of MetS were obesity (OR = 32.7), overweight (OR = 6.1), IR (OR = 4.4; p ≤ 0.0001 for all) and age (OR = 1.15; p = 0.014). CONCLUSION: There was a high prevalence of MetS in children and adolescents evaluated in this study. Students who were obese, overweight or insulin resistant had higher chances of developing the syndrome. |
format | Online Article Text |
id | pubmed-4523286 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Sociedade Brasileira de Cardiologia |
record_format | MEDLINE/PubMed |
spelling | pubmed-45232862015-08-07 Metabolic Syndrome and Importance of Associated Variables in Children and Adolescents in Guabiruba - SC, Brazil Rosini, Nilton Moura, Solange A. Z. Oppermann Rosini, Rodrigo Diegoli Machado, Marcos José da Silva, Edson Luiz Arq Bras Cardiol Original Articles BACKGROUND: The risk factors that characterize metabolic syndrome (MetS) may be present in childhood and adolescence, increasing the risk of cardiovascular disease in adulthood. OBJECTIVE: Evaluate the prevalence of MetS and the importance of its associated variables, including insulin resistance (IR), in children and adolescents in the city of Guabiruba-SC, Brazil. METHODS: Cross-sectional study with 1011 students (6-14 years, 52.4% girls, 58.5% children). Blood samples were collected for measurement of biochemical parameters by routine laboratory methods. IR was estimated by the HOMA-IR index, and weight, height, waist circumference and blood pressure were determined. Multivariate logistic regression models were used to examine the associations between risk variables and MetS. RESULTS: The prevalence of MetS, IR, overweight and obesity in the cohort were 14%, 8.5%, 21% and 13%, respectively. Among students with MetS, 27% had IR, 33% were overweight, 45.5% were obese and 22% were eutrophic. IR was more common in overweight (48%) and obese (41%) students when compared with eutrophic individuals (11%; p = 0.034). The variables with greatest influence on the development of MetS were obesity (OR = 32.7), overweight (OR = 6.1), IR (OR = 4.4; p ≤ 0.0001 for all) and age (OR = 1.15; p = 0.014). CONCLUSION: There was a high prevalence of MetS in children and adolescents evaluated in this study. Students who were obese, overweight or insulin resistant had higher chances of developing the syndrome. Sociedade Brasileira de Cardiologia 2015-07 /pmc/articles/PMC4523286/ /pubmed/25993484 http://dx.doi.org/10.5935/abc.20150040 Text en http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution NonCommercial License which permits unrestricted noncommercial use, distribution, and reproduction in any medium provided the original work is properly cited. |
spellingShingle | Original Articles Rosini, Nilton Moura, Solange A. Z. Oppermann Rosini, Rodrigo Diegoli Machado, Marcos José da Silva, Edson Luiz Metabolic Syndrome and Importance of Associated Variables in Children and Adolescents in Guabiruba - SC, Brazil |
title | Metabolic Syndrome and Importance of Associated Variables in Children and
Adolescents in Guabiruba - SC, Brazil |
title_full | Metabolic Syndrome and Importance of Associated Variables in Children and
Adolescents in Guabiruba - SC, Brazil |
title_fullStr | Metabolic Syndrome and Importance of Associated Variables in Children and
Adolescents in Guabiruba - SC, Brazil |
title_full_unstemmed | Metabolic Syndrome and Importance of Associated Variables in Children and
Adolescents in Guabiruba - SC, Brazil |
title_short | Metabolic Syndrome and Importance of Associated Variables in Children and
Adolescents in Guabiruba - SC, Brazil |
title_sort | metabolic syndrome and importance of associated variables in children and
adolescents in guabiruba - sc, brazil |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4523286/ https://www.ncbi.nlm.nih.gov/pubmed/25993484 http://dx.doi.org/10.5935/abc.20150040 |
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