Related Experiment Video
Updated: Mar 2, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Validity of skinfold and girth based regression equations for the prediction of body composition in obese adults
Richard L Seip1, Arthur Weltman1
1Exercise Physiology Laboratory, Memorial Gymnasium, University of Virginia, Charlottesville, Virginia 22903.
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.
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.
More Related Videos
06:48Author Spotlight: Advancements in 3D Optical Imaging for Comprehensive Body Composition Assessment in Modern Research
Published on: June 7, 2024
07:44Author Spotlight: Implementation of BIVA for Analyzing Disease Risk Factors in Patients with Low Body Cell Mass
Published on: July 14, 2023
Related Concept Videos
Drug Dosing in Renal Diseases: Estimation of Glomerular Filtration Rate Based on Serum Creatinine Concentration
Drug Dosing: Obese Patients
Obesity
Regression Toward the Mean
Pharmacokinetics in Obese Patients: Drug Absorption and Distribution
Hypodermis