Literature DB >> 32494175

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

Pawel Macek1,2, Malgorzata Biskup1,3, Malgorzata Terek-Derszniak3, Michal Stachura4, Halina Krol1,5, Stanislaw Gozdz1,6, Marek Zak1.   

Abstract

BACKGROUND: 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.
© 2020 Macek et al.

Entities:  

Keywords:  body fat percentage; cardiovascular risk factor; cut-off; obesity; public health

Year:  2020        PMID: 32494175      PMCID: PMC7229792          DOI: 10.2147/DMSO.S248444

Source DB:  PubMed          Journal:  Diabetes Metab Syndr Obes        ISSN: 1178-7007            Impact factor:   3.168


  43 in total

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