Reducing the time period of steady state does not affect the accuracy of energy expenditure measurements by indirect calorimetry
Contribuinte(s) |
G. C. Sieck |
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Data(s) |
01/07/2004
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Resumo |
Achievement of steady state during indirect calorimetry measurements of resting energy expenditure (REE) is necessary to reduce error and ensure accuracy in the measurement. Steady state is often defined as 5 consecutive min (5-min SS) during which oxygen consumption and carbon dioxide production vary by +/-10%. These criteria, however, are stringent and often difficult to satisfy. This study aimed to assess whether reducing the time period for steady state (4-min SS or 3-min SS) produced measurements of REE that were significantly different from 5-min SS. REE was measured with the use of open-circuit indirect calorimetry in 39 subjects, of whom only 21 (54%) met the 5-min SS criteria. In these 21 subjects, median biases in REE between 5-min SS and 4-min SS and between 5-min SS and 3-min SS were 0.1 and 0.01%, respectively. For individuals, 4-min SS measured REE within a clinically acceptable range of +/-2% of 5-min SS, whereas 3-min SS measured REE within a range of -2-3% of 5-min SS. Harris-Benedict prediction equations estimated REE for individuals within +/-20-30% of 5-min SS. Reducing the time period of steady state to 4 min produced measurements of REE for individuals that were within clinically acceptable, predetermined limits. The limits of agreement for 3-min SS fell outside the predefined limits of +/-2%; however, both 4-min SS and 3-min SS criteria greatly increased the proportion of subjects who satisfied steady state within smaller limits than would be achieved if relying on prediction equations. |
Identificador | |
Idioma(s) |
eng |
Publicador |
American Physiological Society |
Palavras-Chave | #Physiology #Sport Sciences #Resting Energy Expenditure #Metabolism #Resting Metabolic-rate #Prediction Equation #Body-weight #Women #Requirements #Agreement #Protocol #C1 #321401 Exercise Physiology #730204 Child health #11 Medical and Health Sciences |
Tipo |
Journal Article |