Metabolic syndrome in women with polycystic ovary syndrome: prevalence, characteristics and predictors

Detalhes bibliográficos
Autor(a) principal: Marcondes,José Antonio M.
Data de Publicação: 2007
Outros Autores: Hayashida,Sylvia A.Y., Barcellos,Cristiano R.G., Rocha,Michelle P., Maciel,Gustavo A.R., Baracat,Edmund C.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Arquivos Brasileiros de Endocrinologia & Metabologia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-27302007000600012
Resumo: The aim of this study was to determine the prevalence of metabolic syndrome in women with polycystic ovary syndrome, as well as its characteristics and predictors. Seventh-three women, with body mass index of 30.4 ± 7.8 kg/m² and 25.0 ± 6.0 years old, subdivided according to body mass index, were studied retrospectively. There was no significant mean age difference among body mass index groups (p = 0.228). Prevalence of metabolic syndrome was 38.4%, with a null prevalence for normal (n = 18), 23.8% for overweight (n = 17), 62.9% for obese (n = 28), and 85.5% for morbidly obese women (n = 7). Women with metabolic syndrome were older than women without metabolic syndrome (27.3 ± 5.3 vs. 24.2 ± 4.6 vs. years old; p = 0.031) and presented a higher body mass index (36.3 ± 7.7 vs. 26.9 ± 5.4; p < 0.001). There was no difference for degree of hirsutism and menstrual patterns between women with and without metabolic syndrome (p = 0.593 and p = 0.119, respectively). Regarding laboratory parameters, DHEAS was lower (1,646 ± 1,007 vs. 2,594 ± 1,563; p = 0.007) and HOMA-IR were higher (9.9 ± 9.7 vs. 4.6 ± 4.7; p = 0.004) in women with metabolic syndrome (p = 0.031 and p < 0.001, respectively). The best predictors of metabolic syndrome were waist circumference > 88 cm, HDL-cholesterol < 50 mg/dL and triglycerides > 150 mg/dL.
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spelling Metabolic syndrome in women with polycystic ovary syndrome: prevalence, characteristics and predictorsPolycystic ovary syndromeMetabolic syndromeInsulin resistanceCardiovascular riskThe aim of this study was to determine the prevalence of metabolic syndrome in women with polycystic ovary syndrome, as well as its characteristics and predictors. Seventh-three women, with body mass index of 30.4 ± 7.8 kg/m² and 25.0 ± 6.0 years old, subdivided according to body mass index, were studied retrospectively. There was no significant mean age difference among body mass index groups (p = 0.228). Prevalence of metabolic syndrome was 38.4%, with a null prevalence for normal (n = 18), 23.8% for overweight (n = 17), 62.9% for obese (n = 28), and 85.5% for morbidly obese women (n = 7). Women with metabolic syndrome were older than women without metabolic syndrome (27.3 ± 5.3 vs. 24.2 ± 4.6 vs. years old; p = 0.031) and presented a higher body mass index (36.3 ± 7.7 vs. 26.9 ± 5.4; p < 0.001). There was no difference for degree of hirsutism and menstrual patterns between women with and without metabolic syndrome (p = 0.593 and p = 0.119, respectively). Regarding laboratory parameters, DHEAS was lower (1,646 ± 1,007 vs. 2,594 ± 1,563; p = 0.007) and HOMA-IR were higher (9.9 ± 9.7 vs. 4.6 ± 4.7; p = 0.004) in women with metabolic syndrome (p = 0.031 and p < 0.001, respectively). The best predictors of metabolic syndrome were waist circumference > 88 cm, HDL-cholesterol < 50 mg/dL and triglycerides > 150 mg/dL.Sociedade Brasileira de Endocrinologia e Metabologia2007-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0004-27302007000600012Arquivos Brasileiros de Endocrinologia &amp; Metabologia v.51 n.6 2007reponame:Arquivos Brasileiros de Endocrinologia & Metabologia (Online)instname:Sociedade Brasileira de Endocrinologia e Metabologia (SBEM)instacron:SBEM10.1590/S0004-27302007000600012info:eu-repo/semantics/openAccessMarcondes,José Antonio M.Hayashida,Sylvia A.Y.Barcellos,Cristiano R.G.Rocha,Michelle P.Maciel,Gustavo A.R.Baracat,Edmund C.eng2007-10-08T00:00:00Zoai:scielo:S0004-27302007000600012Revistahttps://www.aem-sbem.com/ONGhttps://old.scielo.br/oai/scielo-oai.php||abem-editoria@endocrino.org.br1677-94870004-2730opendoar:2007-10-08T00:00Arquivos Brasileiros de Endocrinologia & Metabologia (Online) - Sociedade Brasileira de Endocrinologia e Metabologia (SBEM)false
dc.title.none.fl_str_mv Metabolic syndrome in women with polycystic ovary syndrome: prevalence, characteristics and predictors
title Metabolic syndrome in women with polycystic ovary syndrome: prevalence, characteristics and predictors
spellingShingle Metabolic syndrome in women with polycystic ovary syndrome: prevalence, characteristics and predictors
Marcondes,José Antonio M.
Polycystic ovary syndrome
Metabolic syndrome
Insulin resistance
Cardiovascular risk
title_short Metabolic syndrome in women with polycystic ovary syndrome: prevalence, characteristics and predictors
title_full Metabolic syndrome in women with polycystic ovary syndrome: prevalence, characteristics and predictors
title_fullStr Metabolic syndrome in women with polycystic ovary syndrome: prevalence, characteristics and predictors
title_full_unstemmed Metabolic syndrome in women with polycystic ovary syndrome: prevalence, characteristics and predictors
title_sort Metabolic syndrome in women with polycystic ovary syndrome: prevalence, characteristics and predictors
author Marcondes,José Antonio M.
author_facet Marcondes,José Antonio M.
Hayashida,Sylvia A.Y.
Barcellos,Cristiano R.G.
Rocha,Michelle P.
Maciel,Gustavo A.R.
Baracat,Edmund C.
author_role author
author2 Hayashida,Sylvia A.Y.
Barcellos,Cristiano R.G.
Rocha,Michelle P.
Maciel,Gustavo A.R.
Baracat,Edmund C.
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Marcondes,José Antonio M.
Hayashida,Sylvia A.Y.
Barcellos,Cristiano R.G.
Rocha,Michelle P.
Maciel,Gustavo A.R.
Baracat,Edmund C.
dc.subject.por.fl_str_mv Polycystic ovary syndrome
Metabolic syndrome
Insulin resistance
Cardiovascular risk
topic Polycystic ovary syndrome
Metabolic syndrome
Insulin resistance
Cardiovascular risk
description The aim of this study was to determine the prevalence of metabolic syndrome in women with polycystic ovary syndrome, as well as its characteristics and predictors. Seventh-three women, with body mass index of 30.4 ± 7.8 kg/m² and 25.0 ± 6.0 years old, subdivided according to body mass index, were studied retrospectively. There was no significant mean age difference among body mass index groups (p = 0.228). Prevalence of metabolic syndrome was 38.4%, with a null prevalence for normal (n = 18), 23.8% for overweight (n = 17), 62.9% for obese (n = 28), and 85.5% for morbidly obese women (n = 7). Women with metabolic syndrome were older than women without metabolic syndrome (27.3 ± 5.3 vs. 24.2 ± 4.6 vs. years old; p = 0.031) and presented a higher body mass index (36.3 ± 7.7 vs. 26.9 ± 5.4; p < 0.001). There was no difference for degree of hirsutism and menstrual patterns between women with and without metabolic syndrome (p = 0.593 and p = 0.119, respectively). Regarding laboratory parameters, DHEAS was lower (1,646 ± 1,007 vs. 2,594 ± 1,563; p = 0.007) and HOMA-IR were higher (9.9 ± 9.7 vs. 4.6 ± 4.7; p = 0.004) in women with metabolic syndrome (p = 0.031 and p < 0.001, respectively). The best predictors of metabolic syndrome were waist circumference > 88 cm, HDL-cholesterol < 50 mg/dL and triglycerides > 150 mg/dL.
publishDate 2007
dc.date.none.fl_str_mv 2007-08-01
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dc.language.iso.fl_str_mv eng
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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 Arquivos Brasileiros de Endocrinologia &amp; Metabologia v.51 n.6 2007
reponame:Arquivos Brasileiros de Endocrinologia & Metabologia (Online)
instname:Sociedade Brasileira de Endocrinologia e Metabologia (SBEM)
instacron:SBEM
instname_str Sociedade Brasileira de Endocrinologia e Metabologia (SBEM)
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institution SBEM
reponame_str Arquivos Brasileiros de Endocrinologia & Metabologia (Online)
collection Arquivos Brasileiros de Endocrinologia & Metabologia (Online)
repository.name.fl_str_mv Arquivos Brasileiros de Endocrinologia & Metabologia (Online) - Sociedade Brasileira de Endocrinologia e Metabologia (SBEM)
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