Prevalence of endothelial nitric oxide synthase (ENOS) gene G894T polymorphism and its association with hypertension: a population-based study with Brazilian women.

INTRODUCTION: Hypertension is one of the most prevalent diseases in the world, accounting for millions of deaths each year. The reduction in the concentration of nitric oxide (NO) produced by the catalysis of endothelial nitric oxide synthase (eNOS) is associated with higher blood pressure (BP) levels. This reduction might be because of genetic polymorphisms. This study investigated the prevalence of the eNOS gene G894T polymorphism in women from northeast Brazil and its association with hypertension. MATERIAL AND METHODS: This cross-sectional study included 810 women (aged 19-49 years). Sociodemographic, health, anthropometric, and BP data were collected. Hypertension was defined according to the following criteria: systolic BP ≥ 140 mm Hg, diastolic BP ≥ 90 mm Hg, the regular use of antihypertensive medication, or some combination thereof. Epithelial cells from the cheek mucosa were obtained for DNA extraction. Genotyping was performed via real-time PCR. The measure of association was the prevalence ratio (PR) and its 95% CI as calculated via Poisson regression. RESULTS: The frequencies of the GG, GT, and TT genotypes were 57.1%, 35.7%, and 7.2%, respectively. For each of these genotypes, the prevalence of hypertension in women was 17.9%, 23.6%, and 34.4%, respectively. Relative to the GG genotype, the PRs after adjusting for cofounding factors were 1.24 (95% CI: 0.95-1.61, p = 0.11) for GT and 1.76 (95% CI: 1.16-2.67, p < 0.01) for TT. CONCLUSIONS: The T allele of the G894T polymorphisms is associated with hypertension in women. This may have implications for prevention and treatment.

Waist-to-height ratio is the best anthropometric predictor of hypertension: A population-based study with women from a state of northeast of Brazil.

The WHO recommends the use of some anthropometric parameters as a screening resource for individuals under cardiometabolic risk. However, in the validation of these indicators, Brazilian women were not included. These women have different anthropometric profile compared to women who integrated the samples of the validation studies. We aimed to verify the accuracy of anthropometric indicators as a resource for the screening of women with hypertension. A cross-sectional study, with a probability sample of 3143 women (20-49 years) from the state of Alagoas (northeast of Brazil), was carried out. Hypertension was identified by systolic blood pressure (SBP) ≥140 mm Hg and/or diastolic BP ≥90 mm Hg and/or regular use of antihypertensive drugs. The anthropometric indicators analyzed were BMI, waist circumference, waist-to-hip ratio, waist-to-height ratio (WHtR), body fat percentage, and conicity index. The accuracy definition of the indicators and the identification of best cut-off points were carried out on the basis of ROC curve analysis and Youden index, respectively. The prevalence of hypertension was 21.8%. All indicators used in hypertension identification had area under the ROC curve (AUC) >0.5. The WHtR with cut-off point of 0.54 was the best performance indicator (AUC = 0.72; P < 0.05; sensitivity = 67%, specificity = 66%). The WHtR with cut-off point of 0.54 has constituted the most accurate indicator in the screening of women with hypertension. In the absence of specific studies and considering the largest ethnic proximity and environmental/epidemiological similarity, the findings now obtained can be extended to women of other Brazilian states, especially those in the Northeastern region.