Identification and Validation of New Anthropometric Techniques for Quantifying Body Composition

Abstract

This study validates estimates of body composition from bioelectrical impedance (RJL Model BIA-101) against corresponding estimates of body composition from densitometry in a sample of 177 young men and women, of whom 14% were black. Also, comparisons are made between measures of subcutaneous adipose tissue thickness using a portable ultrasound machine (EchoScan 1502) and Lange skinfold calipers in the same sample. In separate samples, measures of machine reliability were conducted between pairs of impedance machines and between pairs of ultrasound machines. In addition, tests were made of the possible effects of physiological noise factors on measures of impedance. Bioelectric impedance is highly reliable as are measures of subcutaneous adipose tissue with Lange skinfold calipers. Ultrasonic measures of subcutaneous adipose tissue are not reliable and do not improve predictions of body composition over that of corresponding skinfold measurements. Bioelectric impedance is not affected by physiological factors such as diet, time of day, exercise of the menstrual cycle. However, in those women who do not participate in some form of regular exercise, predictions of body composition from Stature/Resistance plus anthropometry do differ significantly from those of women who do exercise regularly. The addition of bioelectric impedance does improve the predictions of body composition from anthropometry alone compared to corresponding estimates from densitometry. Keywords: Total Body Fat; Percent Body Fat; Lean Body Mass; Ultrasound; Quantification.

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Document Details

Document Type
Technical Report
Publication Date
Oct 16, 1986
Accession Number
ADA178753

Entities

People

  • Alexander F. Roche
  • Shumei Guo
  • William C. Chumlea

Organizations

  • Wright State University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Adipose Tissue
  • Analysis Of Variance
  • Anthropology
  • Arm Bones
  • Body Composition
  • Body Weight
  • Data Mining
  • Data Science
  • Ethnic Groups
  • Information Processing
  • Information Science
  • Measurement
  • Medical Personnel
  • Regression Analysis
  • Subcutaneous Tissue
  • Surveys
  • Tissues

Readers

  • Exercise and Sports Science.
  • Regression Analysis.