Body mass index for predicting hyperglycemia and serum lipid changes in Brazilian adolescents

Detalhes bibliográficos
Autor(a) principal: Vieira, Ana Carolina R
Data de Publicação: 2009
Outros Autores: Alvarez, Marlene M, Kanaan, Salim, Sichieri, Rosely, Veiga, Gloria V
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 (&gt;150mg/dL), LDL-C (&gt;100mg/dL), serum triglycerides (&gt;100mg/dL), plasma glucose (&gt;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 (&gt;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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spelling 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 (&gt;150mg/dL), LDL-C (&gt;100mg/dL), serum triglycerides (&gt;100mg/dL), plasma glucose (&gt;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 (&gt;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 (&gt;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 (&gt;150mg/dL), LDL-C (&gt;100mg/dL), triglicérides (&gt;100mg/dL), glicose plasmática (&gt;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 (&gt;150mg/dL), LDL-C (&gt;100mg/dL), serum triglycerides (&gt;100mg/dL), plasma glucose (&gt;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 (&gt;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)
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instname_str Universidade de São Paulo (USP)
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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
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