Body mass index for predicting hyperglycemia and serum lipid changes in Brazilian adolescents
Autor(a) principal: | |
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Data de Publicação: | 2009 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista de Saúde Pública |
Texto Completo: | https://www.revistas.usp.br/rsp/article/view/32566 |
Resumo: | OBJECTIVE: To determine the best cut-offs of body mass index for identifying alterations of blood lipids and glucose in adolescents. METHODS: A probabilistic sample including 577 adolescent students aged 12-19 years in 2003 (210 males and 367 females) from state public schools in the city of Niterói, Southeastern Brazil, was studied. The Receiver Operating Characteristic curve was used to identify the best age-adjusted BMI cut-off for predicting high levels of serum total cholesterol (>150mg/dL), LDL-C (>100mg/dL), serum triglycerides (>100mg/dL), plasma glucose (>100mg/dL) and low levels of HDL-C (< 45mg/dL). Four references were used to calculate sensitivity and specificity of BMI cut-offs: one Brazilian, one international and two American. RESULTS: The most prevalent metabolic alterations (>50%) were: high total cholesterol and low HDL-C. BMI predicted high levels of triglycerides in males, high LDL-C in females, and high total cholesterol and the occurrence of three or more metabolic alterations in both males and females (areas under the curve range: 0.59 to 0.67), with low sensitivity (57%-66%) and low specificity (58%-66%). The best BMI cut-offs for this sample (20.3 kg/m² to 21.0 kg/m²) were lower than those proposed in the references studied. CONCLUSIONS: Although BMI values lower than the International cut-offs were better predictor of some metabolic abnormalities in Brazilian adolescents, overall BMI is not a good predictor of these abnormalities in this population. |
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Body mass index for predicting hyperglycemia and serum lipid changes in Brazilian adolescents Índice de masa corporal para predecir hiperglicemia y alteraciones lipídicas en adolescentes brasileros Índice de massa corporal para predizer hiperglicemia e alterações lipídicas em adolescentes brasileiros AdolescenteÍndice de Massa CorporalSensibilidade e EspecificidadeFatores de RiscoHiperglicemiaHiperlipidemiasTécnicas de Diagnóstico e ProcedimentosAdolescenteÍndice de Masa CorporalSensibilidad y EspecificidadFactores de RiesgoHiperglucemiaHiperlipidemiasTécnicas y Procedimientos DiagnósticosAdolescentBody Mass IndexRisk FactorsSensitivity and SpecificityHyperglycemiaHyperlipidemiasDiagnostic Techniques and Procedures OBJECTIVE: To determine the best cut-offs of body mass index for identifying alterations of blood lipids and glucose in adolescents. METHODS: A probabilistic sample including 577 adolescent students aged 12-19 years in 2003 (210 males and 367 females) from state public schools in the city of Niterói, Southeastern Brazil, was studied. The Receiver Operating Characteristic curve was used to identify the best age-adjusted BMI cut-off for predicting high levels of serum total cholesterol (>150mg/dL), LDL-C (>100mg/dL), serum triglycerides (>100mg/dL), plasma glucose (>100mg/dL) and low levels of HDL-C (< 45mg/dL). Four references were used to calculate sensitivity and specificity of BMI cut-offs: one Brazilian, one international and two American. RESULTS: The most prevalent metabolic alterations (>50%) were: high total cholesterol and low HDL-C. BMI predicted high levels of triglycerides in males, high LDL-C in females, and high total cholesterol and the occurrence of three or more metabolic alterations in both males and females (areas under the curve range: 0.59 to 0.67), with low sensitivity (57%-66%) and low specificity (58%-66%). The best BMI cut-offs for this sample (20.3 kg/m² to 21.0 kg/m²) were lower than those proposed in the references studied. CONCLUSIONS: Although BMI values lower than the International cut-offs were better predictor of some metabolic abnormalities in Brazilian adolescents, overall BMI is not a good predictor of these abnormalities in this population. OBJETIVO: Determinar los mejores puntos de corte del índice de masa corporal (IMC) para identificar alteraciones en el perfil lipémico y glicérico en adolescentes. MÉTODOS: Fueron evaluados 577 adolescentes de 12 a 19 años (210 niños y 367 niñas) en una muestra probabilística de estudiantes de escuelas estaduales de la ciudad de Niteroi, Sureste de Brasil, en 2003. Fue utilizada una curva Receiver Operating Characteristic para identificar el mejor punto de corte, ajustado a la edad, para predecir valores elevados de colesterol total sérico (=150mg/dL), LDL-C (=100mg/dL), triglicéridos (=100mg/dL), glicosis plasmática (>100mg/dL) y bajos valores de HDL-C ( OBJETIVO: Determinar os melhores pontos de corte do índice de massa corporal (IMC) para identificar alterações no perfil lipêmico e glicêmico em adolescentes. MÉTODOS: Foram avaliados 577 adolescentes de 12 a 19 anos (210 meninos e 367 meninas) em uma amostra probabilística de estudantes de escolas estaduais da cidade de Niterói (RJ), em 2003. Foi utilizada a curva Receiver Operating Characteristic para identificar o melhor ponto de corte, ajustado para idade, para predizer valores elevados de colesterol total sérico (>150mg/dL), LDL-C (>100mg/dL), triglicérides (>100mg/dL), glicose plasmática (>100mg/dL) e baixos valores de HDL-C (Universidade de São Paulo. Faculdade de Saúde Pública2009-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/rsp/article/view/3256610.1590/S0034-89102008005000062Revista de Saúde Pública; Vol. 43 No. 1 (2009); 44-52 Revista de Saúde Pública; Vol. 43 Núm. 1 (2009); 44-52 Revista de Saúde Pública; v. 43 n. 1 (2009); 44-52 1518-87870034-8910reponame:Revista de Saúde Públicainstname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/rsp/article/view/32566/34893Copyright (c) 2017 Revista de Saúde Públicainfo:eu-repo/semantics/openAccessVieira, Ana Carolina RAlvarez, Marlene MKanaan, SalimSichieri, RoselyVeiga, Gloria V2012-07-09T01:48:13Zoai:revistas.usp.br:article/32566Revistahttps://www.revistas.usp.br/rsp/indexONGhttps://www.revistas.usp.br/rsp/oairevsp@org.usp.br||revsp1@usp.br1518-87870034-8910opendoar:2012-07-09T01:48:13Revista de Saúde Pública - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Body mass index for predicting hyperglycemia and serum lipid changes in Brazilian adolescents Índice de masa corporal para predecir hiperglicemia y alteraciones lipídicas en adolescentes brasileros Índice de massa corporal para predizer hiperglicemia e alterações lipídicas em adolescentes brasileiros |
title |
Body mass index for predicting hyperglycemia and serum lipid changes in Brazilian adolescents |
spellingShingle |
Body mass index for predicting hyperglycemia and serum lipid changes in Brazilian adolescents Vieira, Ana Carolina R Adolescente Índice de Massa Corporal Sensibilidade e Especificidade Fatores de Risco Hiperglicemia Hiperlipidemias Técnicas de Diagnóstico e Procedimentos Adolescente Índice de Masa Corporal Sensibilidad y Especificidad Factores de Riesgo Hiperglucemia Hiperlipidemias Técnicas y Procedimientos Diagnósticos Adolescent Body Mass Index Risk Factors Sensitivity and Specificity Hyperglycemia Hyperlipidemias Diagnostic Techniques and Procedures |
title_short |
Body mass index for predicting hyperglycemia and serum lipid changes in Brazilian adolescents |
title_full |
Body mass index for predicting hyperglycemia and serum lipid changes in Brazilian adolescents |
title_fullStr |
Body mass index for predicting hyperglycemia and serum lipid changes in Brazilian adolescents |
title_full_unstemmed |
Body mass index for predicting hyperglycemia and serum lipid changes in Brazilian adolescents |
title_sort |
Body mass index for predicting hyperglycemia and serum lipid changes in Brazilian adolescents |
author |
Vieira, Ana Carolina R |
author_facet |
Vieira, Ana Carolina R Alvarez, Marlene M Kanaan, Salim Sichieri, Rosely Veiga, Gloria V |
author_role |
author |
author2 |
Alvarez, Marlene M Kanaan, Salim Sichieri, Rosely Veiga, Gloria V |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Vieira, Ana Carolina R Alvarez, Marlene M Kanaan, Salim Sichieri, Rosely Veiga, Gloria V |
dc.subject.por.fl_str_mv |
Adolescente Índice de Massa Corporal Sensibilidade e Especificidade Fatores de Risco Hiperglicemia Hiperlipidemias Técnicas de Diagnóstico e Procedimentos Adolescente Índice de Masa Corporal Sensibilidad y Especificidad Factores de Riesgo Hiperglucemia Hiperlipidemias Técnicas y Procedimientos Diagnósticos Adolescent Body Mass Index Risk Factors Sensitivity and Specificity Hyperglycemia Hyperlipidemias Diagnostic Techniques and Procedures |
topic |
Adolescente Índice de Massa Corporal Sensibilidade e Especificidade Fatores de Risco Hiperglicemia Hiperlipidemias Técnicas de Diagnóstico e Procedimentos Adolescente Índice de Masa Corporal Sensibilidad y Especificidad Factores de Riesgo Hiperglucemia Hiperlipidemias Técnicas y Procedimientos Diagnósticos Adolescent Body Mass Index Risk Factors Sensitivity and Specificity Hyperglycemia Hyperlipidemias Diagnostic Techniques and Procedures |
description |
OBJECTIVE: To determine the best cut-offs of body mass index for identifying alterations of blood lipids and glucose in adolescents. METHODS: A probabilistic sample including 577 adolescent students aged 12-19 years in 2003 (210 males and 367 females) from state public schools in the city of Niterói, Southeastern Brazil, was studied. The Receiver Operating Characteristic curve was used to identify the best age-adjusted BMI cut-off for predicting high levels of serum total cholesterol (>150mg/dL), LDL-C (>100mg/dL), serum triglycerides (>100mg/dL), plasma glucose (>100mg/dL) and low levels of HDL-C (< 45mg/dL). Four references were used to calculate sensitivity and specificity of BMI cut-offs: one Brazilian, one international and two American. RESULTS: The most prevalent metabolic alterations (>50%) were: high total cholesterol and low HDL-C. BMI predicted high levels of triglycerides in males, high LDL-C in females, and high total cholesterol and the occurrence of three or more metabolic alterations in both males and females (areas under the curve range: 0.59 to 0.67), with low sensitivity (57%-66%) and low specificity (58%-66%). The best BMI cut-offs for this sample (20.3 kg/m² to 21.0 kg/m²) were lower than those proposed in the references studied. CONCLUSIONS: Although BMI values lower than the International cut-offs were better predictor of some metabolic abnormalities in Brazilian adolescents, overall BMI is not a good predictor of these abnormalities in this population. |
publishDate |
2009 |
dc.date.none.fl_str_mv |
2009-02-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.revistas.usp.br/rsp/article/view/32566 10.1590/S0034-89102008005000062 |
url |
https://www.revistas.usp.br/rsp/article/view/32566 |
identifier_str_mv |
10.1590/S0034-89102008005000062 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.revistas.usp.br/rsp/article/view/32566/34893 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2017 Revista de Saúde Pública info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2017 Revista de Saúde Pública |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade de São Paulo. Faculdade de Saúde Pública |
publisher.none.fl_str_mv |
Universidade de São Paulo. Faculdade de Saúde Pública |
dc.source.none.fl_str_mv |
Revista de Saúde Pública; Vol. 43 No. 1 (2009); 44-52 Revista de Saúde Pública; Vol. 43 Núm. 1 (2009); 44-52 Revista de Saúde Pública; v. 43 n. 1 (2009); 44-52 1518-8787 0034-8910 reponame:Revista de Saúde Pública instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Revista de Saúde Pública |
collection |
Revista de Saúde Pública |
repository.name.fl_str_mv |
Revista de Saúde Pública - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
revsp@org.usp.br||revsp1@usp.br |
_version_ |
1800221788542599168 |