Background: Reliable obesity assessment is essential in evaluating the risk of cardiovascular risk factors (CRFs). Non-availability of clearly defined cutoffs 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 cutoff 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 cutoffs 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% cutoffs , which optimally differentiated normal from the risk groups. The associations between BF% and CRFs were determined by logistic regression models. Results: The cutoffs 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 cutoffs , the odds for developing CRFs ranged 2-4 times higher than those whose BF% was below the cutoffs. Conclusion: Controlling BF% below the thresholds indicating an increased health hazard may be instrumental in appreciably reducing overall exposure to developing cardiometabolic risk.