%0 Journal Article
%T ¨ªndices de obesidade central e fatores de risco cardiovascular na s¨ªndrome dos ov¨¢rios polic¨ªsticos
%A Costa
%A Eduardo Caldas
%A Soares
%A Elvira Maria Mafaldo
%A Lemos
%A Telma Maria Araujo Moura
%A Maranh£¿o
%A T¨¦cia Maria de Oliveira
%A Azevedo
%A George Dantas
%J Arquivos Brasileiros de Cardiologia
%D 2010
%I Sociedade Brasileira de Cardiologia - SBC
%R 10.1590/S0066-782X2010005000029
%X background: women with polycystic ovary syndrome (pcos) present a high prevalence of abdominal obesity, which is associated with an increased cardiovascular risk. objective: to verify the accuracy of the waist circumference (wc), waist-to-hip ratio (whr), waist-to-height ratio (whtr) and the conicity index (ci) in the detection of cardiovascular risk factors (cvrf) in women with pcos. methods: the present transversal study allocated 102 women (26.5 ¡À 5 years) with a diagnosis of pcos, according to the rotterdam criteria. total cholesterol (tc), triglycerides (tg), ldl-cholesterol (ldl-c), hdl-cholesterol (hdl-c), fasting glucose, glucose after the oral glucose tolerance test (ogtt) and blood pressure (bp) were evaluated in all patients, in addition to the anthropometric variables. results: the whtr was the marker that presented significant positive correlations with the highest number of cvrf (bp, tg and post-ogtt glucose), whereas there was a negative correlation with hdl-c. all the evaluated anthropometric markers were positively correlated with bp, whereas wc and whr also presented a positive correlation with tg. regarding the accuracy for the detection of cvrf, the anthropometric markers presented a sensibility > 60%, especially the whtr, which had a sensibility > 70%. conclusion: the whtr showed to be the most accurate anthropometric indicator for the prediction of cvrf. in this sense, we propose the inclusion of this easily-measured parameter in the clinical assessment for the screening of women with pcos and cvrf.
%K polycystic ovary syndrome [complications]
%K anthropometry
%K risk factors
%K cardiovascular disease
%K insulin resistance.
%U http://www.scielo.br/scielo.php?script=sci_abstract&pid=S0066-782X2010000500010&lng=en&nrm=iso&tlng=en