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Article

Abstract

While several generalized regression equations exist for the prediction of body composition parameters in the normal adult population, the accuracy of these equations when applied to obese adults is uncertain. The present study examined the ability to predict body composition param- eters from girth measurements in obese men. One hundred twenty seven males with a body fat content of 30% or greater (as determined by hydro- static weighing at residual volume) were classified as obese (mean age = 46.8 ± 10.8 yrs, mean ht — 176.3 ± 6.5 cm, mean wt = 94.5 ± 13.2 kg, mean % body fat = 33.9 ± 3.2%, mean fat wt = 32.0 ±6.2 kg, mean lean body wt = 62.4 ± 8.4 kg). Girth measurements (cm) were taken at the following sites: chest, abdomen 1, abdomen 2, buttocks, and right thigh. Stepwise multiple regression analysis was applied to 84 randomly selected subjects with the following results (validation sample):Body Density = —0.00040 (mean abd) — 1.063, r = 0.50, Standard error of estimate = 0.0067 g/cc% Body Fat = 0.31457 (mean abd) — 0.10969 (wt) + 10.8336, r = 0.54, Standard error of estimate = 2.88% fatFat Wt = 0.22753 (wt) + 0.31341 (mean abd) - 22.608, r = 0.90, Standard error of estimate = 2.86 kgLean Body Wt = 0.77249 (wt) — 0.31353 (mean abd) + 22.620, r = 0.94, Standard error of estimate = 2.86 kgThese equations were cross validated on the remaining 43 subjects with the following cross validation results:Standard errorrof estimateBody Density0.380.006 g/cc% Body Fat0.442.50 % fatFat Wt0.902.67 kgLean Body Wt0.902.68 kgHence the use of girth measurements is a simple and practical method of estimating fat weight and lean weight in obese men.

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