Article

DEXA or BMI: clinical considerations for evaluating obesity in collegiate division I-A American football athletes.

Applied Exercise Science Laboratory, Texas A & M University, College Station, Texas 77843-4243, USA.
Clinical journal of sport medicine: official journal of the Canadian Academy of Sport Medicine (impact factor: 1.5). 07/2012; 22(5):436-8. DOI:10.1097/JSM.0b013e31825d5d65 pp.436-8
Source: PubMed

ABSTRACT To evaluate the relationship between body mass index (BMI) and %body fat (%Fat) in collegiate football athletes (FBA) compared with age-matched/gender-matched general population volunteers (comparison group, CG) and compare body composition and overweight/obese frequencies by BMI between FBA and CG.
Cross-sectional.
Two Division I-A (D-IA) universities in Texas. Integrative Health Technologies (San Antonio, Texas) laboratory.
Football athletes (n = 156, 20.0 ± 1.3 years, 185.6 ± 6.5cm, 103.3 ± 20.4 kg). Comparison group (n = 260, 21.5 ± 2.7 years, 179.0 ± 7.6 cm, 86.3 ± 20.9 kg).
Body mass index and bone densitrometry (DEXA) body composition were assessed. Regression was used to predict %Fat from BMI in CG and FBA. To compare %Fat, fat mass (FM), fat-free mass (FFM), and weight (WT) between CG, FBA, linemen, and non-linemen, 1 × 4 analysis of variance was used. Chi-square analysis was used to compare the frequency of BMI ≥25 between groups.
Body mass index differently predicted %Fat for CG (r = 0.643, SE = 6.258) and FBA (r =0.769, SE = 4.416). Body mass index cutoffs for overweight/obese corresponded to the following %Fat in each group [BMI ≥25 = 19.9% (CG) and 11.1% (FBA); BMI ≥30 = 27.3% (CG) and 20.2% (FBA)]. Football athletes had significantly higher WT, BMI, FFM, and frequency of BMI ≥25 with lower %Fat and FM than CG (α < 0.05). Linemen had the highest WT, BMI, FFM, %Fat, and frequency of BMI ≥25.
The relationship between BMI and %Fat differed between CG and FBA. Using current BMI thresholds for obesity in FBA may result in misleading inferences about health risk.

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Keywords

%body fat
 
age-matched/gender-matched general population volunteers
 
body composition
 
body mass index
 
bone densitrometry
 
Chi-square analysis
 
collegiate football athletes
 
Comparison group
 
current BMI thresholds
 
fat mass
 
fat-free mass
 
FFM
 
following %Fat
 
Football athletes
 
health risk
 
Integrative Health Technologies
 
lower %Fat
 
misleading inferences
 
overweight/obese corresponded
 
overweight/obese frequencies
 

Brad S Lambert