Open Access<p>Optimal Body Fat Percentage Cut-Off Values in Predicting the Obesity-Related Cardiovascular Risk Factors: A Cross-Sectional Cohort Study</p>
Author(s) -
Paweł Macek,
Małgorzata Biskup,
Małgorzata Terek-Derszniak,
Michał Stachura,
Halina Król,
Stanisław Góźdż,
Marek Žák
Publication year - 2020
Publication title -
diabetes, metabolic syndrome and obesity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.853
H-Index - 43
ISSN - 1178-7007
DOI - 10.2147/dmso.s248444
Subject(s) - bioelectrical impedance analysis , medicine , obesity , dyslipidemia , logistic regression , crfs , odds ratio , receiver operating characteristic , body mass index , cohort , risk factor , conditional random field , natural language processing , computer science
Reliable obesity assessment is essential in evaluating the risk of cardiovascular risk factors (CRFs). Non-availability of clearly defined cut-offs for body fat percentage (BF%), as well as a widespread application of surrogate measures for obesity assessment, may result in incorrect prediction of cardio-metabolic risk.