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Validity of skinfold and girth based regression equations for the prediction of body composition in obese adults
Author(s) -
Seip Richard L.,
Weltman Arthur
Publication year - 1991
Publication title -
american journal of human biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.559
H-Index - 81
eISSN - 1520-6300
pISSN - 1042-0533
DOI - 10.1002/ajhb.1310030203
Subject(s) - hydrostatic weighing , classification of obesity , girth (graph theory) , skinfold thickness , population , mathematics , body adiposity index , body mass index , obesity , medicine , regression analysis , estimator , statistics , endocrinology , fat mass , body weight , combinatorics , environmental health
The validity of generalized and obese population‐specific body composition prediction equations for estimating percent fat was examined. Thirty‐eight clinically obese women (mean ± SD, % fat = 46.4 ± 5.2%, body mass = 97.2 ± 17.7 kg, age = 41.8 ± 13.3 years) and 16 clinically obese men (% fat = 39.2 ± 3.8%, body mass = 126.7 ± 24.6 kg, age = 43.0 ± 11.6 years) had % body fat estimated by hydrostatic weighing (with RV measured) and had a series of skinfold and girth‐based prediction equations applied to estimate % fat. The equations were chosen because they were said to be “generalized” or because they were “population specific” to obese samples of subjects. Results of the present study indicated that the majority of prediction equations were not valid estimators of % body fat in obese males and females. Of the equations that were valid estimators of % body fat (mean differences in % fat of < 3%, r ≥ 0.70, SE < 5%), all but one (Lohman, 1981) utilized girths as part of the prediction technique. It was concluded that generalized girth‐based equations could be utilized for prediction of % body fat in obese subjects.