Optimal Body Fat Percentage Cut-Off Values in Predicting the Obesity-Related Cardiovascular Risk Factors: A Cross-Sectional Cohort Study

Pawel Macek,1,2 Malgorzata Biskup,1,3 Malgorzata Terek-Derszniak,3 Michal Stachura,4 Halina Krol,1,5 Stanislaw Gozdz,1,6 Marek Zak1 1Department of Physical Activity, Posturology, and Gerontology, Institute of Health Sciences, Collegium Medicum, The Jan Kochanowski University, Kielce, Poland; 2Depart...

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Autores principales:	Macek P, Biskup M, Terek-Derszniak M, Stachura M, Krol H, Gozdz S, Zak M
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2020
Materias:	obesity body fat percentage cardiovascular risk factor cut-off public health Specialties of internal medicine RC581-951
Acceso en línea:	https://doaj.org/article/4247f293b6674acd85b74ec7986cf6e2
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spelling	oai:doaj.org-article:4247f293b6674acd85b74ec7986cf6e22021-12-02T12:00:34ZOptimal Body Fat Percentage Cut-Off Values in Predicting the Obesity-Related Cardiovascular Risk Factors: A Cross-Sectional Cohort Study1178-7007https://doaj.org/article/4247f293b6674acd85b74ec7986cf6e22020-05-01T00:00:00Zhttps://www.dovepress.com/optimal-body-fat-percentage-cut-off-values-in-predicting-the-obesity-r-peer-reviewed-article-DMSOhttps://doaj.org/toc/1178-7007Pawel Macek,1,2 Malgorzata Biskup,1,3 Malgorzata Terek-Derszniak,3 Michal Stachura,4 Halina Krol,1,5 Stanislaw Gozdz,1,6 Marek Zak1 1Department of Physical Activity, Posturology, and Gerontology, Institute of Health Sciences, Collegium Medicum, The Jan Kochanowski University, Kielce, Poland; 2Department of Epidemiology and Cancer Control, Holycross Cancer Centre, Kielce, Poland; 3Department of Rehabilitation, Holycross Cancer Centre, Kielce, Poland; 4Department of Economics and Finance, Faculty of Law and Social Sciences, The Jan Kochanowski University, Kielce, Poland; 5Clinical Oncology Clinic, Holycross Cancer Centre, Kielce, Poland; 6Research and Education Department, Holycross Cancer Centre, Kielce, PolandCorrespondence: Marek ZakDepartment of Physical Activity, Posturology, and Gerontology, The Institute of Health Sciences, Collegium Medicum, The Jan Kochanowski University, ul. Zeromskiego 5, Kielce 25-369, PolandTel +48 41 349 69 09Fax +48 41 349 69 16Email mzak1@onet.euBackground: 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.Purpose: The study aimed to determine optimal cut-off points for BF%, with a view of predicting the CRFs related to obesity.Patients and Methods: The study involved 4735 (33.6% of men) individuals, the Polish-Norwegian Study (PONS) participants, aged 45– 64. BF% was measured with the aid of bioelectrical impedance analysis (BIA) method. The gender-specific cut-offs of BF% were found with respect to at least one CRF. A P-value approach, and receiver operating characteristic curve analyses were pursued for BF% cut-offs, which optimally differentiated normal from the risk groups. The associations between BF% and CRFs were determined by logistic regression models.Results: The cut-offs for BF% were established as 25.8% for men and 37.1% for women. With the exception of dyslipidemia, in men and women whose BF% was above the cut-offs, the odds for developing CRFs ranged 2– 4 times higher than those whose BF% was below the cut-offs.Conclusion: Controlling BF% below the thresholds indicating an increased health hazard may be instrumental in appreciably reducing overall exposure to developing cardio-metabolic risk.Keywords: obesity, body fat percentage, cardiovascular risk factor, cut-off, public healthMacek PBiskup MTerek-Derszniak MStachura MKrol HGozdz SZak MDove Medical Pressarticleobesitybody fat percentagecardiovascular risk factorcut-offpublic healthSpecialties of internal medicineRC581-951ENDiabetes, Metabolic Syndrome and Obesity: Targets and Therapy, Vol Volume 13, Pp 1587-1597 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	obesity body fat percentage cardiovascular risk factor cut-off public health Specialties of internal medicine RC581-951
spellingShingle	obesity body fat percentage cardiovascular risk factor cut-off public health Specialties of internal medicine RC581-951 Macek P Biskup M Terek-Derszniak M Stachura M Krol H Gozdz S Zak M Optimal Body Fat Percentage Cut-Off Values in Predicting the Obesity-Related Cardiovascular Risk Factors: A Cross-Sectional Cohort Study
description	Pawel Macek,1,2 Malgorzata Biskup,1,3 Malgorzata Terek-Derszniak,3 Michal Stachura,4 Halina Krol,1,5 Stanislaw Gozdz,1,6 Marek Zak1 1Department of Physical Activity, Posturology, and Gerontology, Institute of Health Sciences, Collegium Medicum, The Jan Kochanowski University, Kielce, Poland; 2Department of Epidemiology and Cancer Control, Holycross Cancer Centre, Kielce, Poland; 3Department of Rehabilitation, Holycross Cancer Centre, Kielce, Poland; 4Department of Economics and Finance, Faculty of Law and Social Sciences, The Jan Kochanowski University, Kielce, Poland; 5Clinical Oncology Clinic, Holycross Cancer Centre, Kielce, Poland; 6Research and Education Department, Holycross Cancer Centre, Kielce, PolandCorrespondence: Marek ZakDepartment of Physical Activity, Posturology, and Gerontology, The Institute of Health Sciences, Collegium Medicum, The Jan Kochanowski University, ul. Zeromskiego 5, Kielce 25-369, PolandTel +48 41 349 69 09Fax +48 41 349 69 16Email mzak1@onet.euBackground: 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.Purpose: The study aimed to determine optimal cut-off points for BF%, with a view of predicting the CRFs related to obesity.Patients and Methods: The study involved 4735 (33.6% of men) individuals, the Polish-Norwegian Study (PONS) participants, aged 45– 64. BF% was measured with the aid of bioelectrical impedance analysis (BIA) method. The gender-specific cut-offs of BF% were found with respect to at least one CRF. A P-value approach, and receiver operating characteristic curve analyses were pursued for BF% cut-offs, which optimally differentiated normal from the risk groups. The associations between BF% and CRFs were determined by logistic regression models.Results: The cut-offs for BF% were established as 25.8% for men and 37.1% for women. With the exception of dyslipidemia, in men and women whose BF% was above the cut-offs, the odds for developing CRFs ranged 2– 4 times higher than those whose BF% was below the cut-offs.Conclusion: Controlling BF% below the thresholds indicating an increased health hazard may be instrumental in appreciably reducing overall exposure to developing cardio-metabolic risk.Keywords: obesity, body fat percentage, cardiovascular risk factor, cut-off, public health
format	article
author	Macek P Biskup M Terek-Derszniak M Stachura M Krol H Gozdz S Zak M
author_facet	Macek P Biskup M Terek-Derszniak M Stachura M Krol H Gozdz S Zak M
author_sort	Macek P
title	Optimal Body Fat Percentage Cut-Off Values in Predicting the Obesity-Related Cardiovascular Risk Factors: A Cross-Sectional Cohort Study
title_short	Optimal Body Fat Percentage Cut-Off Values in Predicting the Obesity-Related Cardiovascular Risk Factors: A Cross-Sectional Cohort Study
title_full	Optimal Body Fat Percentage Cut-Off Values in Predicting the Obesity-Related Cardiovascular Risk Factors: A Cross-Sectional Cohort Study
title_fullStr	Optimal Body Fat Percentage Cut-Off Values in Predicting the Obesity-Related Cardiovascular Risk Factors: A Cross-Sectional Cohort Study
title_full_unstemmed	Optimal Body Fat Percentage Cut-Off Values in Predicting the Obesity-Related Cardiovascular Risk Factors: A Cross-Sectional Cohort Study
title_sort	optimal body fat percentage cut-off values in predicting the obesity-related cardiovascular risk factors: a cross-sectional cohort study
publisher	Dove Medical Press
publishDate	2020
url	https://doaj.org/article/4247f293b6674acd85b74ec7986cf6e2
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Optimal Body Fat Percentage Cut-Off Values in Predicting the Obesity-Related Cardiovascular Risk Factors: A Cross-Sectional Cohort Study

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