Resting metabolic rate
Resting Metabolic Rate (RMR) is whole-body mammal (and other vertebrate) metabolism during a time period of strict and steady resting conditions that are defined by a combination of assumptions of physiological homeostasis and biological equilibrium. RMR differs from basal metabolic rate (BMR) because BMR measurements must meet total physiological equilibrium whereas RMR conditions of measurement can be altered and defined by the contextual limitations. Therefore, BMR is measured in the elusive "perfect" steady state, whereas RMR measurement is more accessible and thus, represents most, if not all measurements or estimates of daily energy expenditure.
Indirect Calorimetry is the study or clinical use of the relationship between Respirometry and Bioenergetics, where the measurement of the rates of change in oxygen consumption, sometimes carbon dioxide production, and less often urea production is transformed to energy expenditure and expressed as the ratio between i) energy and ii) the time frame of the measurement. For example, following analysis of oxygen consumption of a human subject, if 5.5 kilocalories of energy were estimated during a 5-minute measurement from a rested individual, then the resting metabolic rate equals = 1.1 kcal/min rate.
A comprehensive treatment of confounding factors on BMR measurements is demonstrated as early as 1922 in Massachusetts by Engineering Professor Frank B Sanborn, wherein descriptions of the effects of food, posture, sleep, muscular activity, and emotion provide criteria for separating BMR from RMR.
- 1 Indirect Calorimetry is Used to Measure Resting Metabolic Rate
- 2 Putting RMR to use
- 3 Common correlates to Metabolic Rate and 24-hr Energy Expenditure
- 4 References
Indirect Calorimetry is Used to Measure Resting Metabolic Rate
In the 1780s for the French Academy of Sciences, Lavoisier, Laplace, and Seguin investigated and published relationships between direct calorimetry and respiratory gas exchanges from mammalian subjects. 100 years later in the 19th century for the Connecticut-based Wesleyan University, Professors Atwater and Rosa provided ample evidence of nitrogen, carbon dioxide, and oxygen transport during the metabolism of amino acids, glucose, and fatty acids in human subjects, further establishing the value of indirect calorimetry in determining bioenergetics of free-living humans. The work of Atwater and Rosa also made it possible to calculate the caloric values of foods, which eventually became the criteria adopted by the USDA to create the food calorie library.
In the early 20th century at Oxford University, physiology researcher Claude Gordon Douglas developed an inexpensive and mobile method of collecting exhaled breath (partly in preparation for experiments to be conducted on Pike's Peak, Colorado). In this method, the subject exhales into a nearly impermeable and large volume collection bag over a recorded period of time. The entire volume is measured, the oxygen and carbon dioxide content are analyzed, and the differences from inspired "ambient" air are calculated to determine the rates of oxygen uptake and carbon dioxide output.
To estimate energy expenditure from the exhaled gases, several algorithms were developed. One of the most widely used was developed in 1949 at University of Glasgow by research physiologist J. B. de V. Weir. His abbreviated equation for estimating metabolic rate was written with rates of gas exchange being volume/time, excluded urinary nitrogen, and allowed for the inclusion of a time conversion factor of 1.44 to extrapolate to 24-hour energy expenditure from 'kcal per minute" to "kcal per day." Weir used the Douglas Bag method in his experiments, and in support of neglecting the effect of protein metabolism under normal physiological conditions and eating patterns of ~12.5% protein calories, he wrote:
- "...In fact if the percentage of protein calories [consumed] lies between 10 and 14 the maximum error in using [the equation] is less than 1 in 500."
Computer-aided RMR measurements
In the early 1970s, computer technology enabled on-site data processing, some real-time analysis, and even graphical displays of metabolic variables, such as O2, CO2, and air-flow, thereby encouraging academic institutions to test accuracy and precision in new ways. A few years later in the decade, battery-operated systems made debuts. For example, a demonstration of the mobile Oxylog with digital display of both cumulative and past-minute oxygen consumption was presented in 1977 at the Proceedings of the Physiological Society. As manufacturing and computing costs dropped over the next few decades, various universal calibration methods for preparing and comparing various models in the 1990s brought attention to short-comings or advantages of various designs. In addition to lower costs, the metabolic variable CO2 was often ignored, promoting instead a focus on oxygen-consumption models of weight management and exercise training.
In the new millennium, smaller "desktop-sized" indirect calorimeters, such as the New Leaf system from Medical Graphics were being distributed with fully dedicated personal computers & printers, and running modern windows-based software such as BreezeSuite for Windows OS. Sophisticated software were made available to empower nutritionists and end-consumers alike to track and manage calorie intake.
For example, in 2003, HealtheTech provided BalanceLog(TM) Weight Management and Nutrition Monitoring softwareshown on right and its BalanceLog Pro(TM) web product, both of which were oriented for use with their handheld & disposable BodyGem(R)shown on left, which measured oxygen consumption and reported 24-hr resting energy expenditure.
At this time, several health and wellness companies brought resting and exercise-conditions measurements as a service to the end consumer, which helped shape sales and service teams to keep these systems online and ready for gym-goers and weight management clinics.
In 2014, as App Store and Google Play continued to bring millions of software Apps to millions of consumers world-wide, the iOS-based Breezing Tracker(shown on left) brought VO2 and VCO2 measurement with a handheld battery-operated unit that was connected by Bluetooth to the App for real-time computation. A calorie intake goal(shown on right) was generated from the measured metabolic rate and displayed as 24-hr energy expenditure.
Putting RMR to use
RMR measurements are recommended when estimating total daily energy expenditure (TEE). Since BMR measures are restricted to the narrow time frame (and strict conditions) upon waking, the looser-conditions RMR measure is more typically conducted. In the review organized by the USDA, most publications documented specific conditions of resting measurements, including time from latest food intake or physical activities; this comprehensive review estimated RMR is 10 – 20% higher than BMR due to thermic effect of feeding and residual burn from activities that occur throughout the day.
Relationship between Resting Metabolic Rate and Energy Expenditure
Thermochemistry aside, the rate of metabolism and an amount of energy expenditures can be mistakenly interchanged, for example, when describing RMR and REE.
Clinical Guidelines for conditions of Resting measurements
The Academy of Nutrition and Dietetics (AND) provides clinical guidance for preparing a subject for RMR measures, in order to mitigate possible confounding factors from feeding, stressful physical activities, or exposure to stimulants such as caffeine or nicotine:
In preparation, a subject should be fasting for 7 hrs or greater, and mindful to avoid stimulants and stressors, such as caffeine, nicotine, and hard physical activities such as purposeful exercises.
For 30 minutes before conducting the measurement, a subject should be laying supine without physical movements, no reading nor listening to music. The ambiance should reduce stimulation by maintaining constant quiet, low lighting, and steady temperature. These conditions continue during the measurement stage.
Further, the correct use of a well-maintained indirect calorimeter includes achieving a natural and steady breathing pattern in order to reveal oxygen consumption and carbon dioxide production rates under a reproducible resting condition. Indirect calorimetry is considered the gold-standard method to measure RMR. Indirect calorimeters are usually found in laboratory and clinical setting, but technological advancements bring RMR measurement to free-living conditions. The first completely mobile metabolic tracker (Breezing® Metabolism Tracker) was developed by researchers and engineers from Arizona State University in 2012.
Use of REE in Weight Management
Long-term weight management is directly proportional to calories absorbed from feeding; nevertheless, myriad non-caloric factors also play biologically significant roles (not covered here) in estimating energy intake. In counting energy expenditure, the use of a resting measurement (RMR) is the most accurate method for estimating the major portion of Total daily energy expenditure (TEE), thereby giving the closest approximations when planning & following a Calorie Intake Plan. Thus, estimation of REE by indirect calorimetry is strongly recommended for accomplishing long-term weight management, a conclusion reached and maintained due to ongoing observational research by well-respected institutions such as the USDA, AND (previously ADA), ACSM, and internationally by the WHO.
Common correlates to Metabolic Rate and 24-hr Energy Expenditure
Energy expenditure is correlated to a number of factors, listed in alphabetical order.
- Age: Besides the epidemiologically correlated trends of aging, lowered physical activity, and loss of lean muscle mass, lessened cellular activity (the senescence thereof) may also contribute to lowering of REE.
- Ravussin, E., Burnand, B., Schutz, Y., Jequier, E. 1982. Twenty-Four-Hour Energy Expenditure and Resting Metabolic Rate in Obese, Moderately Obese, and Control Subjects. Am. J. Clin. Nut. Vol. 35:566–573.
- Sanborn M.S., Frank B (1922). Basal metabolism: its determination and application. p. 20. Retrieved 21 March 2016.
- McNab, B. K. 1997. On the Utility of Uniformity in the Definition of Basal Rate of Metabolism. Physiol. Zool. Vol.70; 718–720.
- Speakman, J.R., Krol, E., Johnson, M.S. 2004. The Functional Significance of Individual Variation in Basal Metabolic Rate. Phys. Biochem. Zool. Vol. 77(6):900–915.
- "Report of preliminary investigations on the metabolism of nitrogen and carbon in the human organism, with a respiration calorimeter of special construction". The Internet Archive. Retrieved 2016-03-07.
- "Description of a New Respiration Calorimeter and Experiments on the Conservation of Energy in the Human Body". The Internet Archive. Retrieved 2016-03-07.
- "Why Calories Count". University of California Press. Retrieved 2016-03-03.
- Cunningham, D. J. C. (1964-11-01). "Claude Gordon Douglas. 1882-1963". Biographical Memoirs of Fellows of the Royal Society 10 (0): 51–74. doi:10.1098/rsbm.1964.0004.
- Weir, J. B. de V. (1949-08-01). "New methods for calculating metabolic rate with special reference to protein metabolism". The Journal of Physiology 109 (1-2): 1–9. doi:10.1105/tpc.4.8.929. ISSN 0022-3751. PMC 1392602. PMID 15394301.
- Beaver, WL; Wasserman, K; Whipp, BJ (1973). "On-line computer analysis and breath-by-breath graphical display of exercise function tests". Journal of Applied Physiology 34 (1): 128–132.
- Wilmore, JH; Davis, JA; Norton, AC (1976). "An automated system for assessing metabolic and respiratory function during exercise". Journal of Applied Physiology 40 (4): 619–624. Retrieved 2016-03-07.
- Humphrey, SJE; Wolff, HS (1977). "The Oxylog". Journal of Physiology: 12. Retrieved 2016-03-07.
- Huszczuk, A; Whipp, BJ; Wasserman, K (1990). "A respiratory gas exchange simulator for routine calibration in metabolic studies" (PDF). European Respiratory Journal (3): 465–468. Retrieved 2016-03-07.
- "Angeion 2005 Annual Report -- page 7 -- Narrative Description of Business -- General" (PDF). MGC Diagnostics Company. MGC Diagnostics. Retrieved 2016-03-07.
- "HealtheTech Announces New End-to-End Weight Management Software Platform". PR Newswire. PR Newswire Association LLC. Retrieved 2016-03-07.
- Xian, Xiaojun; Quach, Ashley; Bridgeman, Devon; Tsow, Francis; Forzani, Erica; Tao, Nongjian (2015). "Personalized Indirect Calorimeter for Energy Expenditure (EE) Measurement". Global Journal of Obesity, Diabetes, and Metabolic Syndrome 2 (1): 4–8. Retrieved 2016-03-07.
- "Dietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty Acids, Cholesterol, Protein, and Amino Acids (Macronutrients) (2005)". USDA. National Academy of Sciences, Institute of Medicine, Food and Nutrition Board. Retrieved 21 March 2016.
- Raynor, Hollie; Champagne, Catherine (2016). "Position of the Academy of Nutrition and Dietetics: Interventions for the Treatment of Overweight and Obesity in Adults". Journal of the Academy of Nutrition and Dietetics 116 (1): 131. doi:10.1016/j.jand.2015.10.031. Retrieved 21 March 2016.
- Haugen, Heather A.; Chan, Lingtak-Neander; Li, Fanny (2007-08-01). "Indirect calorimetry: a practical guide for clinicians". Nutrition in Clinical Practice: Official Publication of the American Society for Parenteral and Enteral Nutrition 22 (4): 377–388. ISSN 0884-5336. PMID 17644692.
- "Personalized Indirect Calorimeter for Energy Expenditure (EE) Measurement". www.peertechz.com. Retrieved 2016-01-22.
- "Measuring Your Metabolism: Breezing at QS15 - Quantified Self". Quantified Self. Retrieved 2016-01-22.
- Manore, Melinda; Meyer, Nanna; Thompson, Janice (2009). Sport Nutrition for Health and Performance (2 ed.). United States of America: Human Kinetics. ISBN 9780736085519. Retrieved 21 March 2016.