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1 School of Physical and Health Education, Queen's University, Kingston, Ontario, Canada K7L 3N6; 2 Obesity Research Center, St. Luke's/Roosevelt Hospital, Columbia University, College of Physicians and Surgeons, New York, New York 10025; and 3 Clinical Nutrition Program, University of New Mexico, School of Medicine, Albuquerque, New Mexico 87131
The purpose of this study was to develop and cross-validate
predictive equations for estimating skeletal muscle (SM) mass using
bioelectrical impedance analysis (BIA). Whole body SM mass, determined
by magnetic resonance imaging, was compared with BIA measurements in a
multiethnic sample of 388 men and women, aged 18-86 yr, at two
different laboratories. Within each laboratory, equations for
predicting SM mass from BIA measurements were derived using the data of
the Caucasian subjects. These equations were then applied to the
Caucasian subjects from the other laboratory to cross-validate the BIA
method. Because the equations cross-validated (i.e., were not
different), the data from both laboratories were pooled to generate the
final regression equation
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body composition; prediction equation
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