Anthropometric measurements as a potential non-invasive alternative for the diagnosis of metabolic syndrome in adolescents
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Arquivos de Endocrinologia e Metabolismo (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-39972019000100030 |
Resumo: | ABSTRACT Objective: To identify which anthropometric measurement would be the best predictor of metabolic syndrome (MetS) in Brazilian adolescents. Subjects and methods: Cross-sectional study conducted on 222 adolescents (15-17 years) from a city in southern Brazil. Anthropometric, physical activity, blood pressure and biochemical parameters were investigated. MetS criteria were transformed into a continuous variable (MetS score). Linear regression analyses were performed to assess the associations of BMI, hip circumference, neck circumference (NC), triceps skinfold, subscapular skinfold and body fat percentage with MetS score. ROC curves were constructed to determine the cutoff for each anthropometric measurement. Results: The prevalence of MetS was 7.2%. Each anthropometric measurement was significantly (p < 0.001) associated with MetS score. After adjusting for potential confounding variables (age, sex, physical activity, and maternal education), the standardized coefficients of NC and body fat percentage appeared to have the strongest association (beta = 0.69 standard deviation) with MetS score. The regression of BMI provided the best model fit (adjusted R2 = 0.31). BMI predicted MetS with high sensitivity (100.0%) and specificity (86.4%). Conclusions: Our results suggest that BMI and NC are effective screening tools for MetS in adolescents. The early diagnosis of MetS combined with targeted lifestyle interventions in adolescence may help reduce the burden of cardiovascular diseases and diabetes in adulthood. |
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Anthropometric measurements as a potential non-invasive alternative for the diagnosis of metabolic syndrome in adolescentsAdolescentsmetabolic syndromeanthropometric measurementsneck circumferenceROC curveABSTRACT Objective: To identify which anthropometric measurement would be the best predictor of metabolic syndrome (MetS) in Brazilian adolescents. Subjects and methods: Cross-sectional study conducted on 222 adolescents (15-17 years) from a city in southern Brazil. Anthropometric, physical activity, blood pressure and biochemical parameters were investigated. MetS criteria were transformed into a continuous variable (MetS score). Linear regression analyses were performed to assess the associations of BMI, hip circumference, neck circumference (NC), triceps skinfold, subscapular skinfold and body fat percentage with MetS score. ROC curves were constructed to determine the cutoff for each anthropometric measurement. Results: The prevalence of MetS was 7.2%. Each anthropometric measurement was significantly (p < 0.001) associated with MetS score. After adjusting for potential confounding variables (age, sex, physical activity, and maternal education), the standardized coefficients of NC and body fat percentage appeared to have the strongest association (beta = 0.69 standard deviation) with MetS score. The regression of BMI provided the best model fit (adjusted R2 = 0.31). BMI predicted MetS with high sensitivity (100.0%) and specificity (86.4%). Conclusions: Our results suggest that BMI and NC are effective screening tools for MetS in adolescents. The early diagnosis of MetS combined with targeted lifestyle interventions in adolescence may help reduce the burden of cardiovascular diseases and diabetes in adulthood.Sociedade Brasileira de Endocrinologia e Metabologia2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-39972019000100030Archives of Endocrinology and Metabolism v.63 n.1 2019reponame:Arquivos de Endocrinologia e Metabolismo (Online)instname:Sociedade Brasileira de Endocrinologia e Metabologia (SBEM)instacron:SBEM10.20945/2359-3997000000100info:eu-repo/semantics/openAccessMastroeni,Silmara Salete de Barros SilvaMastroeni,Marco FabioEkwaru,John PaulSetayeshgar,SolmazVeugelers,Paul J.Gonçalves,Muryel de CarvalhoRondó,Patrícia Helen de Carvalhoeng2019-03-08T00:00:00Zoai:scielo:S2359-39972019000100030Revistahttps://www.aem-sbem.com/https://old.scielo.br/oai/scielo-oai.php||aem.editorial.office@endocrino.org.br2359-42922359-3997opendoar:2019-03-08T00:00Arquivos de Endocrinologia e Metabolismo (Online) - Sociedade Brasileira de Endocrinologia e Metabologia (SBEM)false |
dc.title.none.fl_str_mv |
Anthropometric measurements as a potential non-invasive alternative for the diagnosis of metabolic syndrome in adolescents |
title |
Anthropometric measurements as a potential non-invasive alternative for the diagnosis of metabolic syndrome in adolescents |
spellingShingle |
Anthropometric measurements as a potential non-invasive alternative for the diagnosis of metabolic syndrome in adolescents Mastroeni,Silmara Salete de Barros Silva Adolescents metabolic syndrome anthropometric measurements neck circumference ROC curve |
title_short |
Anthropometric measurements as a potential non-invasive alternative for the diagnosis of metabolic syndrome in adolescents |
title_full |
Anthropometric measurements as a potential non-invasive alternative for the diagnosis of metabolic syndrome in adolescents |
title_fullStr |
Anthropometric measurements as a potential non-invasive alternative for the diagnosis of metabolic syndrome in adolescents |
title_full_unstemmed |
Anthropometric measurements as a potential non-invasive alternative for the diagnosis of metabolic syndrome in adolescents |
title_sort |
Anthropometric measurements as a potential non-invasive alternative for the diagnosis of metabolic syndrome in adolescents |
author |
Mastroeni,Silmara Salete de Barros Silva |
author_facet |
Mastroeni,Silmara Salete de Barros Silva Mastroeni,Marco Fabio Ekwaru,John Paul Setayeshgar,Solmaz Veugelers,Paul J. Gonçalves,Muryel de Carvalho Rondó,Patrícia Helen de Carvalho |
author_role |
author |
author2 |
Mastroeni,Marco Fabio Ekwaru,John Paul Setayeshgar,Solmaz Veugelers,Paul J. Gonçalves,Muryel de Carvalho Rondó,Patrícia Helen de Carvalho |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Mastroeni,Silmara Salete de Barros Silva Mastroeni,Marco Fabio Ekwaru,John Paul Setayeshgar,Solmaz Veugelers,Paul J. Gonçalves,Muryel de Carvalho Rondó,Patrícia Helen de Carvalho |
dc.subject.por.fl_str_mv |
Adolescents metabolic syndrome anthropometric measurements neck circumference ROC curve |
topic |
Adolescents metabolic syndrome anthropometric measurements neck circumference ROC curve |
description |
ABSTRACT Objective: To identify which anthropometric measurement would be the best predictor of metabolic syndrome (MetS) in Brazilian adolescents. Subjects and methods: Cross-sectional study conducted on 222 adolescents (15-17 years) from a city in southern Brazil. Anthropometric, physical activity, blood pressure and biochemical parameters were investigated. MetS criteria were transformed into a continuous variable (MetS score). Linear regression analyses were performed to assess the associations of BMI, hip circumference, neck circumference (NC), triceps skinfold, subscapular skinfold and body fat percentage with MetS score. ROC curves were constructed to determine the cutoff for each anthropometric measurement. Results: The prevalence of MetS was 7.2%. Each anthropometric measurement was significantly (p < 0.001) associated with MetS score. After adjusting for potential confounding variables (age, sex, physical activity, and maternal education), the standardized coefficients of NC and body fat percentage appeared to have the strongest association (beta = 0.69 standard deviation) with MetS score. The regression of BMI provided the best model fit (adjusted R2 = 0.31). BMI predicted MetS with high sensitivity (100.0%) and specificity (86.4%). Conclusions: Our results suggest that BMI and NC are effective screening tools for MetS in adolescents. The early diagnosis of MetS combined with targeted lifestyle interventions in adolescence may help reduce the burden of cardiovascular diseases and diabetes in adulthood. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-39972019000100030 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2359-39972019000100030 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.20945/2359-3997000000100 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Endocrinologia e Metabologia |
publisher.none.fl_str_mv |
Sociedade Brasileira de Endocrinologia e Metabologia |
dc.source.none.fl_str_mv |
Archives of Endocrinology and Metabolism v.63 n.1 2019 reponame:Arquivos de Endocrinologia e Metabolismo (Online) instname:Sociedade Brasileira de Endocrinologia e Metabologia (SBEM) instacron:SBEM |
instname_str |
Sociedade Brasileira de Endocrinologia e Metabologia (SBEM) |
instacron_str |
SBEM |
institution |
SBEM |
reponame_str |
Arquivos de Endocrinologia e Metabolismo (Online) |
collection |
Arquivos de Endocrinologia e Metabolismo (Online) |
repository.name.fl_str_mv |
Arquivos de Endocrinologia e Metabolismo (Online) - Sociedade Brasileira de Endocrinologia e Metabologia (SBEM) |
repository.mail.fl_str_mv |
||aem.editorial.office@endocrino.org.br |
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1752122515835060224 |