Citas bibligráficas
Robles, C., (2018). Indicadores antropométricos de obesidad como predictores de hipertensión arterial en adultos de dos centros de salud, Cusco-2018. [Tesis, Universidad Andina del Cusco]. https://hdl.handle.net/20.500.12557/1753
Robles, C., Indicadores antropométricos de obesidad como predictores de hipertensión arterial en adultos de dos centros de salud, Cusco-2018. [Tesis]. : Universidad Andina del Cusco; 2018. https://hdl.handle.net/20.500.12557/1753
@misc{renati/19023,
title = "Indicadores antropométricos de obesidad como predictores de hipertensión arterial en adultos de dos centros de salud, Cusco-2018.",
author = "Robles Mendoza, Crisbeth Madison",
publisher = "Universidad Andina del Cusco",
year = "2018"
}
Background: Obesity affects 650 million people, causing 2.8 million deaths each year. In 2016 it was found that the 36.5% Peruvians were obese. Likewise, the levels of arterial hypertension in Peru increased and for 2011 the prevalence of this disease was 23.3% according to the TORNASOL II study. One way to predict the onset of hypertension is using the anthropometric indicators of obesity. The most important indicator is the abdominal circumference and the waist- height index in both genders. In studies around the world in both women and men, the indicator with the highest prediction was the waist-height ratio, even better than the abdominal circumference. Methods: It was performed a prospective cross-sectional study with a sample of 342 patients from both Health Centers that met the inclusion criteria. To determine the best indicator of obesity, the ROC curve was used, determining the area under the AUC curve that was considered positive if it was greater than 0.5. The confidence interval will be 95%, taking it with a better discriminator if it did not contain the value of 0.5. The values obtained were statistically significant with a “p” value less than 0.05. Results: From the total patient it was obtained that 33.62% of the participants in the study had hypertension, in stage I they were 25.73% and in stage II 7.89%. It was found that the best anthropometric indicator of obesity as a predictor in both genders was the abdominal circumference with an AUC = 0.742 and an IC 95% [0.687 - 0.796] with a value of p = 0.000, followed by the waist-height ratio with an AUC = 0.733 with an IC 95% [0.678 - 0.789] and p = 0.000. In the case of males, none of the indicators had an AUC greater than0.5, considering them to have low discriminative value for hypertension. In the case of women, the best anthropometric indicator was the waist-height ratio with an AUC = 0.782 and a 95% CI [0.721 - 0.843] p = 0.000. Conclusions: In the present study it was evidenced that the best anthropometric indicator of obesity as a predictor of hypertension in both genders was the abdominal circumference followed by the waist-height ratio. In case of female, the best indicator was the waist-height ratio.
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