Cardiovascular diseases Archives - Revista Brasileira de Ginecologia e Obstetrícia

  • Original Article07-02-2008

    Anthropometric measures: predictors of non-transmissible chronic diseases in postmenopausal women in the Southeast region of Brazil

    Revista Brasileira de Ginecologia e Obstetrícia. 2008;30(4):182-189

    Abstract

    Original Article

    Anthropometric measures: predictors of non-transmissible chronic diseases in postmenopausal women in the Southeast region of Brazil

    Revista Brasileira de Ginecologia e Obstetrícia. 2008;30(4):182-189

    DOI 10.1590/S0100-72032008000400005

    Views146

    PURPOSE: to evaluate the anthropometric measures as predictors of cardiovascular and metabolic risk in non-transmissible chronic diseases in postmenopausal women. METHODS: a clinical and sectional study enrolling 120 sedentary postmenopausal women (amenorrhea for at least 12 months, age 45 to 70 years was conducted). Exclusion criteria included insulin-dependent diabetes and use of statins or hormone therapy within the preceding six months. Anthropometric indicators included: weight, height, body mass index (BMI=weight/height²), and waist circumference (WC). Metabolic profiles as total cholesterol (TC), HDL, LDL, triglycerides (TG), glycemia, and insulin were measured and the atherogenic index of plasma (AIP) and Homeostasis model assessment-insulin resistance (HOMA-IR) were calculated. One-way analysis of variance (ANOVA) and Odds Ratio (OR) were used in the statistical analysis. RESULTS: subjects were classified on average as overweight and showed central fat distribution. Overweight and obesity were observed in 76% and abdominal obesity in 87.3% of the patients. On average, TC, LDL and TG levels were higher than recommended in 67.8, 55.9 and 45.8% of the women, respectively, and HDL was low in 40.7%. Values of WC >88 cm were observed in 14.8% of women with normal weight, 62.5% overweight and 100% obesity p>0.05). On average, the values of AIP, TG, and HOMA-IR increased significantly along with values of BMI and WC, while decreased HDL (p<0.05). Among women with WC >88 cm, a risk association was observed with low HDL (OR=5.86; 95%CI=2.31-14.82), with higher TG (OR=2.61; 95%CI=1.18-5.78), with higher AIP (OR=3.42; 95%CI=1.19-9.78) and with IR (OR=3.63; 95%CI=1.27-10.36). There was a risk of low HDL (OR=3.1; 95%CI=1.44-6.85) with increased obesity (BMI>30 kg/m²). CONCLUSIONS: in the postmenopausal women, the simple measure of WC can predict cardiovascular and metabolic risk of non-transmissible chronic diseases.

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    This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • Original Article10-05-2007

    Correlation of high sensitivity C-reactive protein levels and clinical and laboratory parameters in polycystic ovary syndrome patients

    Revista Brasileira de Ginecologia e Obstetrícia. 2007;29(5):241-247

    Abstract

    Original Article

    Correlation of high sensitivity C-reactive protein levels and clinical and laboratory parameters in polycystic ovary syndrome patients

    Revista Brasileira de Ginecologia e Obstetrícia. 2007;29(5):241-247

    DOI 10.1590/S0100-72032007000500004

    Views108

    PURPOSE: to evaluate the ultra-sensitive C-Reactive Protein level (us-CRP) in patients with Polycystic Ovary Syndrome (PCOS), and the correlation of clinical and laboratory parameters with the us-CRP level. Methods: in this cross-sectional study, 46 women with Polycystic Ovary Syndrome, according to the Rotterdam criteria, and 44 control women have been included. Serum was analyzed for C reactive protein (CRP) levels. Body mass index (BMI), age, circumference waist, HOMA-IR, total, low and high density lipoprotein cholesterol, triglycerides, glucose, testosterone and insulin levels were correlated to CRP level through a linear regression model. RESULTS: PCOS patients not only were older and had higher BMI, but their waist circumference, fasting insulin, HOMA-IR, total and LDL cholesterol were also higher, as compared to the women from the control group. A significant difference was observed in the us-CRP level between the PCOS (2.7 mg/dL±2.17) the control (1.6 mg/dL±1.49) groups. When us-CRP levels were categorized as of low (<1.0 mg/L), moderate (1-3.0 mg/L) and high (3.0 mg/L) risk for cardiovascular episodes, only 28.3% women with PCOS had us-CRP levels defined as low, 34.8% as moderate and 37% as high risk. The prevalence of Metabolic Syndrome was higher in the women with PCOS (30.4%) than in the women from the control group (6.8%). Through a stepwise linear regression model, only waist circumference, presence of metabolic syndrome and age had a confounding effect in the relation between us-CRP and PCOS. After adjustment for confounding factors, PCOS showed an independent effect on us-CRP level. CONCLUSIONS: the us-CRP levels were higher in the PCOS women than in the healthy controls. By a regression model, PCOS showed an independent effect on us-CRP level.

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    This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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