Key result
Waist-to-height ratio modestly predicts high blood pressure in older men but not women.
Why the study?
Anthropometric indicators of obesity have an unclear predictive capacity for high blood pressure in the elderly, and cutoff points for discrimination are not well established.
Cross-Sectional (n=300)
No
Effect estimate: AUC 0.61 (95% CI 0.51-0.71)
p-value: p=<0.0001
Anthropometric indices show modest predictive value for hypertension in older men only; hypothesis-generating and requires prospective validation before clinical use.
DOI: http://dx.doi.org/10.5007/1980-0037.2017v19n1p31 High blood pressure is a leading cause of mortality worldwide and a risk factor for several diseases. The aim of this study was to determine the predictive power of anthropometric indicators of obesity and establish their cutoff points as discriminators of hypertension and identify the anthropometric indicator of obesity that best discriminates high blood pressure in the elderly. This is a cross-sectional study with a sample of 300 older adults, 167 (56.5%) women. The following anthropometric indicators of obesity were measured: body mass index (BMI), waist circumference (WC), waist / height ratio (WHtR) and conicity index. Moreover, systolic and diastolic blood pressure measurements were collected. To identify hypertension predictors, the analysis of receiver operating curves (ROC) with 95% confidence interval was adopted. Subsequently, cutoff points with their respective sensitivities and specificities were identified. Analyses were carried out considering 5% significance level. It was observed that some anthropometric indicators of obesity showed area under the curve (AUC) significant with BMI = 0.60 (0.50 to 0.70); WHtR = 0.61 (0.51 to 0.71); conicity index = 0.58 (0.58 to 0.68) in men. The different cutoff points of anthropometric indicators with better predictive power and their respective sensitivities and specificities were identified. The best areas under the ROC curve were for BMI, WHtR and conicity index for men; however, such measures were not satisfactory to predict high blood pressure in women.
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Diniz et al. (2017) conducted a cross-sectional in High blood pressure (n=300). Anthropometric indicators of obesity (BMI, waist circumference, waist-to-height ratio, conicity index) was evaluated on Predictive power for high blood pressure (Area Under the ROC Curve - AUC) (AUC 0.61, 95% CI 0.51-0.71, p=<0.0001). Waist-to-height ratio (AUC 0.61), body mass index (AUC 0.60), and conicity index (AUC 0.58) were significant predictors of high blood pressure in older men, but not satisfactory in women.
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