» Articles » PMID: 26019292

Validity and Reproducibility of a Novel Method for Time-course Evaluation of Diet-induced Thermogenesis in a Respiratory Chamber

Overview
Journal Physiol Rep
Specialty Physiology
Date 2015 May 29
PMID 26019292
Citations 7
Authors
Affiliations
Soon will be listed here.
Abstract

We developed a novel method for computing diet-induced thermogenesis (DIT) in a respiratory chamber and evaluated the validity and reproducibility of the method. We hypothesized that DIT may be calculated as the difference between postprandial energy expenditure (EE) and estimated EE (sum of basal metabolic rate and physical activity (PA)-related EE). The estimated EE was derived from the regression equation between EE from respiration and PA intensity in the fasting state. It may be possible to evaluate the time course of DIT using this novel technique. In a validity study, we examined whether DIT became zero (theoretical value) for 6 h of fasting in 11 subjects. The mean value of DIT calculated by the novel and traditional methods was 22.4 ± 13.4 and 3.4 ± 31.8 kcal/6 h, respectively. In the reproducibility study, 15 adult subjects lived in the respiratory chamber for over 24 h on two occasions. The DIT over 15 h of postprandial wake time was calculated. There were no significant differences in the mean values of DIT between the two test days. The within-subject day-to-day coefficient of variation for calculated DIT with the novel and traditional methods was approximately 35% and 25%, respectively. The novel method did not have superior reproducibility compared with that of the traditional method. However when comparing the smaller variation in the fasting state than the theoretical value (zero), the novel method may be better for evaluating interindividual differences in DIT than the traditional method and also has the ability to evaluate the time-course.

Citing Articles

The use of accelerometers to improve estimation of the thermic effect of food in whole room calorimetry studies.

Purcell S, LaMunion S, Chen K, Rynders C, Thomas E, Melanson E J Appl Physiol (1985). 2024; 137(1):1-9.

PMID: 38695352 PMC: 11389891. DOI: 10.1152/japplphysiol.00763.2023.


The Role and Regulatory Mechanism of Brown Adipose Tissue Activation in Diet-Induced Thermogenesis in Health and Diseases.

Chan P, Hsieh P Int J Mol Sci. 2022; 23(16).

PMID: 36012714 PMC: 9408971. DOI: 10.3390/ijms23169448.


The Relationship between Changes in Organ-Tissue Mass and Sleeping Energy Expenditure Following Weight Change in College Sumo Wrestlers.

Midorikawa T, Tanaka S, Ando T, Konishi M, Ohta M, Torii S Medicina (Kaunas). 2020; 56(10).

PMID: 33066288 PMC: 7602072. DOI: 10.3390/medicina56100536.


A novel method for measuring diet-induced thermogenesis in mice.

Yamazaki T, Ikaga R, Li D, Nakae S, Tanaka S MethodsX. 2019; 6:1950-1956.

PMID: 31667091 PMC: 6812409. DOI: 10.1016/j.mex.2019.08.016.


Validity of a triaxial accelerometer and simplified physical activity record in older adults aged 64-96 years: a doubly labeled water study.

Yamada Y, Hashii-Arishima Y, Yokoyama K, Itoi A, Adachi T, Kimura M Eur J Appl Physiol. 2018; 118(10):2133-2146.

PMID: 30019086 DOI: 10.1007/s00421-018-3944-6.


References
1.
Bland J, Altman D . Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986; 1(8476):307-10. View

2.
Oshima Y, Kawaguchi K, Tanaka S, Ohkawara K, Hikihara Y, Ishikawa-Takata K . Classifying household and locomotive activities using a triaxial accelerometer. Gait Posture. 2010; 31(3):370-4. DOI: 10.1016/j.gaitpost.2010.01.005. View

3.
Lejeune M, Westerterp K, Adam T, Luscombe-Marsh N, Westerterp-Plantenga M . Ghrelin and glucagon-like peptide 1 concentrations, 24-h satiety, and energy and substrate metabolism during a high-protein diet and measured in a respiration chamber. Am J Clin Nutr. 2006; 83(1):89-94. DOI: 10.1093/ajcn/83.1.89. View

4.
Schutz Y, Bessard T, Jequier E . Diet-induced thermogenesis measured over a whole day in obese and nonobese women. Am J Clin Nutr. 1984; 40(3):542-52. DOI: 10.1093/ajcn/40.3.542. View

5.
Ravussin E, Lillioja S, Anderson T, Christin L, Bogardus C . Determinants of 24-hour energy expenditure in man. Methods and results using a respiratory chamber. J Clin Invest. 1986; 78(6):1568-78. PMC: 423919. DOI: 10.1172/JCI112749. View