Data from the National Health and Nutrition Examination Survey (NHANES) have been used to estimate the proportion of US adults who have high, moderate, and low fitness levels by body mass index (BMI) category. These data have also been used to construct categories for fitness. However, these categories are often weighted unevenly to be more inclusive in the moderate and high-fitness categories. PURPOSE: To cross-classify adults in the US population by fitness level and BMI, as well as fitness level and body composition, and to calculate the percentage of the population that can be classified as “fit but fat” using tertiles. METHODS: Three NHANES datasets covering six years (1999-2004) were included in this study, with a total of 6,648 records meeting the eligibility criteria. Fitness and body composition gender and age-specific percentile ranks were determined from norms published by the Cooper Clinic. A pair of matrices were created to report counts, means and standard errors by body composition level versus fitness level and BMI group versus fitness level. RESULTS: The BMI matrix showed that 32.9 ± 1.0% of the population was classified as overweight, and 24.9 ± 0.9% was classified as obese. Further, 9.9 ± 0.7% and 6.7 ± 0.5% of the overweight and obese groups respectively, were classified in the top one-third for fitness. The body composition matrix (based on percent body fat) showed that 18.1 ± 1.0% were categorized in the middle third, and 68.4 ± 1.3% were categorized in the lowest tertile (high percent body fat). Additionally, 6.6 ± 0.6% and 21.0 ± 0.9% of the overweight and obese groups respectively, were classified in the fittest tertile. CONCLUSIONS: These data support the notion that one can be “fit but fat,” but most are not. Further, there is a large discrepancy in defining “fat”. Two-thirds of the population was ranked below the 35th percentile in body composition (compared to 57.8% of the population qualifying as overweight or obese), and more of these individuals are of low fitness than in any other fitness category. These data further support the notion that BMI is a misleading classification and utilizing a more robust measure to qualify fatness may be necessary.
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