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Validation of Bioimpedance Analysis as a Measure of Change in Body Cell Mass as Estimated by Whole-Body Counting of Potassium in Adults

Gastrointestinal Division, Body Composition Unit, and Weight Control Unit, Department of Medicine, St Luke's-Roosevelt Hospital Center, College of Physicians and Surgeons, Columbia University, New York

Karen Rosenbaum, BA

Gastrointestinal Division, Body Composition Unit, and Weight Control Unit, Department of Medicine, St Luke's-Roosevelt Hospital Center, College of Physicians and Surgeons, Columbia University, New York

David B. Allison, PhD

Gastrointestinal Division, Body Composition Unit, and Weight Control Unit, Department of Medicine, St Luke's-Roosevelt Hospital Center, College of Physicians and Surgeons, Columbia University, New York

Jack Wang, MS

Gastrointestinal Division, Body Composition Unit, and Weight Control Unit, Department of Medicine, St Luke's-Roosevelt Hospital Center, College of Physicians and Surgeons, Columbia University, New York

Richard N. Pierson, Jr, MD

Gastrointestinal Division, Body Composition Unit, and Weight Control Unit, Department of Medicine, St Luke's-Roosevelt Hospital Center, College of Physicians and Surgeons, Columbia University, New York

Backgrouud: The body cell mass (BCM) is an important measure of macronutrient status, but measurements are difficult to obtain outside of sophisticated research laboratories. Bioimpedance analysis (BIA) is a simple technique that holds promise as a means of estimating body composition. The purpose of this study was to evaluate the ability of BIA to estimate changes in BCM as measured by whole body counting of ⁴⁰K (TBK). Methods: Paired studies of BCM, including both TBK and BIA, were compared in 87 human immunodeficiency virus-positive subjects and in 62 healthy, weight-stable control adults. Potential errors in the predictions were examined. Results: BCM change by TBK and BIA correlated closely (r = .755). After accounting for errors related to repeat measures of TBK, the correlation coefficient was .784, with a standard error of the estimate of 1.24 kg. The differences between predicted and measured BCM change were consistent with a normal distribution. However, there was a systematic error in prediction, with BIA under-predicting the magnitudes of both gains and losses in BCM by TBK. Conclusions: BIA is a useful surrogate for measuring changes in BCM in clinical circumstances. Because TBK assesses only intracellular potassium, whereas BIA reflects all intracellular cations, the underprediction of BCM change by BIA compared with TBK could be related to changes in intracellular potassium concentration as a result of malnutrition or its treatment. (Journal of Parenteral and Enteral Nutrition 23:345-349, 1999)

Journal of Parenteral and Enteral Nutrition, Vol. 23, No. 6, 345-349 (1999)
DOI: 10.1177/0148607199023006345


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