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Prediction of Body Fat in a Large Population of Moderately Overweight, Sedentary Females
Author(s) -
Sharp Kathy,
Nassar E,
Kerksick C,
Rasmussen C,
Kreider R
Publication year - 2006
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.20.5.lb84-c
Subject(s) - bioelectrical impedance analysis , overweight , medicine , population , body fat percentage , limits of agreement , fat mass , cohort , obesity , zoology , body mass index , nuclear medicine , biology , environmental health
The purpose of this study was to establish a feasible means of predicting fat percentage in sedentary, post menopausal, moderately overweight, healthy women. 198 sedentary, post menopausal, moderately overweight, healthy women (53.8±4.7y, 162.3±6.3cm, 87.2±12.9kg, 45.8±4.1%, 33.1±4.5 kg·m −2 ) completed baseline testing, which consisted of body mass assessment and fat percentage assessments with two separate handheld units and DEXA. This data was then used to establish a prediction equation for fat percentage via handheld bioelectrical impedance as related to fat percentage using DEXA. Stepwise, multiple regression was used with standard inclusion and exclusion criteria on all variables. Correlations were calculated to determine relationship between predicted and actual fat percentage values. A significant correlation was found between the two handheld units for body fat % (%BF) (r=0.992, p<0.01). A large sub‐sample of participants (n=198) was randomly selected to develop a prediction equation: %BF = 16.205 + (0.703 * handheld %BF) that was significantly correlated with DEXA %BF (r 2 =0.659, p<0.001). A random cross‐validation sample of 10 % (n=23) was removed from the original cohort to conduct an independent samples t‐test between the predicted and %BF, which was not significant (t= −1.279, p>0.05). In the cross‐validation sample, %BF was predicted within 2% for 65% of those selected. In conclusion, it appears that %FM can be accurately predicted from handheld BIA and a correction factor in a large sample of post menopausal, sedentary, moderately overweight, healthy females.