The primary purpose of the study was to determine if measured LBM could be used as a more powerful predictor of BMR than could surface area (SA) as calculated by the formula of DuBois and DuBois (1916). It was also of interest to develop a prediction equation for BMR using multiple regression analysis. Data from 82 women and 76 men were included in the study. Pearson product-moment correlations indicated that LBM was a better predictor for BMR than SA on either of the principal SA prediction equations, those of Aub and DuBois (1917) and Harris and Benedict (1919). Age, sex, and fat weight were not found to contribute significantly to prediction when included by multiple regression analyses. Linear equations for BMR as a function of LBM were developed for each sex. Tables based on these equations were also generated as a quick reference for clinicians.
| Identifer | oai:union.ndltd.org:unt.edu/info:ark/67531/metadc503992 |
| Date | 05 1900 |
| Creators | Lachenbruch, Charles |
| Contributors | Patton, Robert W., Swigger, Kathleen M. |
| Publisher | North Texas State University |
| Source Sets | University of North Texas |
| Language | English |
| Detected Language | English |
| Type | Thesis or Dissertation |
| Format | vii, 141 leaves : ill., Text |
| Rights | Public, Lachenbruch, Charles, Copyright, Copyright is held by the author, unless otherwise noted. All rights reserved. |
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