TY - JOUR
T1 - A pocket-sized metabolic analyzer for assessment of resting energy expenditure
AU - Zhao, Di
AU - Xian, Xiaojun
AU - Terrera, Mirna
AU - Krishnan, Ranganath
AU - Miller, Dylan
AU - Bridgeman, Devon
AU - Tao, Kevin
AU - Zhang, Lihua
AU - Tsow, Francis
AU - Forzani, Erica
AU - Tao, Nongjian
N1 - Funding Information:
This study was supported by Arizona State University . DZ optimized sensor cartridge development and calibration, and performed analytical validation of on-line measurement of the metabolic analyzer device against the gold standard method, LZ implemented off-line measurement of the metabolic analyzer device, and validation against gold standard method, MT performed anthropometric characterization of subjects, clinical validation of the metabolic analyzer device, and assisted software development, RK developed software and cell phone application of the new device, DM developed the hardware for sensor cartridge holder and optical and flow components of the new device, DB, KT and XX developed new methods for reproducible mass production of sensor cartridges, FT ensured the quality of optoelectronic components of the new device, EF supervised analytical, statistical and clinical aspects of the project, and NJT supervised physics, optoelectronics, and software aspects of the project.
PY - 2014/4
Y1 - 2014/4
N2 - Background & aims: The assessment of metabolic parameters related to energy expenditure has a proven value for weight management; however these measurements remain too difficult and costly for monitoring individuals at home. The objective of this study is to evaluate the accuracy of a new pocket-sized metabolic analyzer device for assessing energy expenditure at rest (REE) and during sedentary activities (EE). The new device performs indirect calorimetry by measuring an individual's oxygen consumption (VO2) and carbon dioxide production (VCO2) rates, which allows the determination of resting- and sedentary activity-related energy expenditure. Methods: VO2 and VCO2 values of 17 volunteer adult subjects were measured during resting and sedentary activities in order to compare the metabolic analyzer with the Douglas bag method. The Douglas bag method is considered the Gold Standard method for indirect calorimetry. Metabolic parameters of VO2, VCO2, and energy expenditure were compared using linear regression analysis, paired t-tests, and Bland-Altman plots. Results: Linear regression analysis of measured VO2 and VCO2 values, as well as calculated energy expenditure assessed with the new analyzer and Douglas bag method, had the following linear regression parameters (linear regression slope LRS0, and R-squared coefficient, r2) with p = 0: LRS0 (SD) = 1.00 (0.01), r2 = 0.9933 for VO2; LRS0 (SD) = 1.00 (0.01), r2 = 0.9929 for VCO2; and LRS0 (SD) = 1.00 (0.01), r2 = 0.9942 for energy expenditure. In addition, results from paired t-tests did not show statistical significant difference between the methods with a significance level of α = 0.05 for VO2, VCO2, REE, and EE. Furthermore, the Bland-Altman plot for REE showed good agreement between methods with 100% of the results within ±2SD, which was equivalent to ≤10% error. Conclusion: The findings demonstrate that the new pocket-sized metabolic analyzer device is accurate for determining VO2, VCO2, and energy expenditure.
AB - Background & aims: The assessment of metabolic parameters related to energy expenditure has a proven value for weight management; however these measurements remain too difficult and costly for monitoring individuals at home. The objective of this study is to evaluate the accuracy of a new pocket-sized metabolic analyzer device for assessing energy expenditure at rest (REE) and during sedentary activities (EE). The new device performs indirect calorimetry by measuring an individual's oxygen consumption (VO2) and carbon dioxide production (VCO2) rates, which allows the determination of resting- and sedentary activity-related energy expenditure. Methods: VO2 and VCO2 values of 17 volunteer adult subjects were measured during resting and sedentary activities in order to compare the metabolic analyzer with the Douglas bag method. The Douglas bag method is considered the Gold Standard method for indirect calorimetry. Metabolic parameters of VO2, VCO2, and energy expenditure were compared using linear regression analysis, paired t-tests, and Bland-Altman plots. Results: Linear regression analysis of measured VO2 and VCO2 values, as well as calculated energy expenditure assessed with the new analyzer and Douglas bag method, had the following linear regression parameters (linear regression slope LRS0, and R-squared coefficient, r2) with p = 0: LRS0 (SD) = 1.00 (0.01), r2 = 0.9933 for VO2; LRS0 (SD) = 1.00 (0.01), r2 = 0.9929 for VCO2; and LRS0 (SD) = 1.00 (0.01), r2 = 0.9942 for energy expenditure. In addition, results from paired t-tests did not show statistical significant difference between the methods with a significance level of α = 0.05 for VO2, VCO2, REE, and EE. Furthermore, the Bland-Altman plot for REE showed good agreement between methods with 100% of the results within ±2SD, which was equivalent to ≤10% error. Conclusion: The findings demonstrate that the new pocket-sized metabolic analyzer device is accurate for determining VO2, VCO2, and energy expenditure.
KW - Carbon dioxide production
KW - Fitness
KW - Indirect calorimetry
KW - Oxygen consumption
KW - Resting energy expenditure
KW - Weight management
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U2 - 10.1016/j.clnu.2013.06.001
DO - 10.1016/j.clnu.2013.06.001
M3 - Article
C2 - 23827182
AN - SCOPUS:84895460008
SN - 0261-5614
VL - 33
SP - 341
EP - 347
JO - Clinical Nutrition
JF - Clinical Nutrition
IS - 2
ER -