Prediction of the hypertension risk in teenagers

Cardiology Journal
Piotr Wieniawski, Bozena Werner

Abstract

Creation of a hypertension risk stratification model and development of an algorithm to detect hypertension in teenagers. The study group consisted of 690 middle and high school students, aged 15-17 years, from the metropolitan area of Warsaw, Poland. Information concerning family history and presence of risk factors for cardiovascular disease was gathered. Three-time blood pressure measurements were taken during at least two separate visits, which were at least a week apart, using the auscultatory method, according to standard procedures. Anthropometric measurements included: body weight, height, arm, hip and abdominal circumference, skin-fold thickness measured on the rear surface of an arm, below the inferior angle of the scapula and at the belly. Following indexes were determined: body mass index (BMI), waist to hip ratio (WHR), waist to height ratio (WHtR), hip to height ratio. A logistic regression model, describing the risk of hypertension in adolescents aged 15-17 was invented. π ̂(x)=e^(g ̂(x))/(1+e^(g ̂(x)) ) where: g ̂(x) = -0.097 × height + 0.085 × weight + 7.764 × WHR + 1.312 × hypertens_1(=yes). Hypertens_1 means presence of hypertension among members of the closest family.The formula was created, allowing the pre...Continue Reading

Citations


❮ Previous
Next ❯

Related Concepts

Related Feeds

Cardiovascular Disease Pathophysiology

Cardiovascular disease involves several different processes that contribute to the pathological mechanism, including hyperglycemia, inflammation, atherosclerosis, hypertension and more. Vasculature stability plays a critical role in the development of the disease. Discover the latest research on cardiovascular disease pathophysiology here.

Related Papers

Revista Portuguesa De Cardiologia : Orgão Oficial Da Sociedade Portuguesa De Cardiologia = Portuguese Journal of Cardiology : an Official Journal of the Portuguese Society of Cardiology
Juliana Gomes MadrugaFernanda Scherer Adami
Wiadomości lekarskie : organ Polskiego Towarzystwa Lekarskiego
Maria DukalskaJustyna Dubiel
© 2022 Meta ULC. All rights reserved