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Job Demands, Health, and Well-Being for a Changing Population
Published in R. S. Bridger, Introduction to Human Factors and Ergonomics, 2017
The compendium of physical activities (Ainsworth et al., 2000) can be used in the interpretation of self-report and observational data about physical activity. Table 8.1 lists the physiological intensities of many work and leisure activities, expressed in units known as METS where 1MET=4.184kJ⋅kg−1⋅h−1=RMR where the RMR is the resting metabolic rate (average rate when a person sits resting in a chair).
The accuracy of ten common resting metabolic rate prediction equations in men and women collegiate athletes
Published in European Journal of Sport Science, 2022
Jennifer B. Fields, Meghan K. Magee, Margaret T. Jones, Andrew T. Askow, Clayton L. Camic, Joel Luedke, Andrew R. Jagim
It is estimated that resting metabolic rate (RMR) accounts for ∼60-75% of an athlete’s TDEE (Ravussin & Bogardus, 1989). Thus, accurate assessment of RMR is critical for athletes in order to support nutrient needs, mitigate fatigue, and increase or maintain lean body mass, while improving performance and health (Jagim et al., 2019). Indirect calorimetry is currently accepted as a non-invasive, valid, and reliable measure of RMR (Haugen et al., 2007). However, conditions required for accurate measurement (i.e. a period of fasting and resting, the avoidance of excessive external stimulation, thermoneutral testing environment) (Reale et al., 2020), combined with high equipment cost, long measurement times, and need for trained technicians (Carpenter et al., 2015), limit feasibility for many practitioners who work with athletes.
Development of alternatives to estimate resting metabolic rate from anthropometric variables in paralympic swimmers
Published in Journal of Sports Sciences, 2021
Carlos Abraham Herrera-Amante, César Octavio Ramos-García, Fernando Alacid, Luis Aaron Quiroga-Morales, Adrián Jacob Martínez-Rubio, Diego A. Bonilla
One of the most representative components of total daily energy expenditure (TDEE) is the basal metabolic rate (BMR). The BMR is defined as the amount of energy consumed by an individual in post-absorptive conditions (10–12 hours after the last meal), in a thermo-neutral environment, during the first hours of the morning after a night of deep sleep (energy cost of arousal), in complete rest, in a bed (supine position) or a sofa (sedent position) (Harris & Benedict, 1919; Henry, 2005; Ravussin & Bogardus, 1989). Due to the conditions necessary for the BMR measurement, nowadays, its clinical application is limited. Currently, instead of BMR, the resting metabolic rate (RMR), also called resting energy expenditure (REE), is measured. Resting metabolic rate (RMR) and basal metabolic rate (BMR) are similar and only differ in that BMR is usually measured in the morning, after an overnight fast, with no exercise for the previous 24 h, free from emotional stress, with the subject familiarised with the apparatus, and completely rested (Henry, 2005). In order to control the influences of the thermic effect of food (TEF) and the anxiety levels on the RMR, it is recommended to measure this variable with a minimum of 5 hours after meals or snacks (Compher et al., 2006) and become acquainted with the calorimetry measurement equipment. Some studies have reported the RMR to be ~10% higher than the BMR (Hipskind et al., 2011; Horton, 1983; Pavlidou et al., 2018).
Improving energy expenditure estimates from wearable devices: A machine learning approach
Published in Journal of Sports Sciences, 2020
Ruairi O’Driscoll, Jake Turicchi, Mark Hopkins, Graham. W. Horgan, Graham Finlayson, James. R. Stubbs
Resting metabolic rate (RMR) was measured using an indirect calorimetry system fitted with a ventilated hood (GEM, Nutren Technology Ltd; UK). Participants lay in the supine position for 30 min, whilst VO2 and VCO2 were continually measured. An RMR estimate was derived from 5 min of steady-state data, as described previously (Sanchez-Delgado et al., 2018). Briefly, after discarding the first 5 min, the VO2 and VCO2 measurements in the 5-min period with the lowest coefficient of variation during the overall measurement period are used to estimate RMR. In the absence of an RMR measurement (n = 2), a body mass index (BMI) specific RMR algorithm was used (Müller et al., 2004). A stationary metabolic cart (Vyntus CPX, Jaeger-CareFusion, UK) was used as the criterion measure of EE in the physical activity protocol. Breath by breath data were aggregated to minute level to estimate EE (kcal/min−1). The Vyntus CPX is highly valid and reliable (Perez-Suarez et al. 2017, 2018) and served as a criterion comparison for the developed models. The unit was calibrated prior to each lab visit in accordance with manufacturer’s instructions. EE values were calculated from minute level VO2 and VCO2 data assuming a minimal contribution of protein oxidation (Péronnet & Massicotte, 1991). We expressed minute level EE as a multiple of each participant’s RMR, to derive metabolic equivalents (METs), which was the outcome variable.