PP106 ASSESSMENT OF RESTING METABOLIC RATE: COMPARISON OF PREDICTION EQUATIONS WITH INDIRECT CALORIMETRY VALUES

The objective of this systematic review was to examine resting metabolic rate (RMR) measured through indirect calorimetry in adults with chronic spinal cord injury (SCI) and to evaluate the predication equations used for the estimation of RMR in this population. The authors additionally aimed to review the impact of sex and level of injury on RMR. A MEDLINE/PubMed, Google Scholar, Scopus, and Web of Science search was performed for studies published from the database inception to January 2018, identifying 326 articles. On the basis of the inclusion criteria, 22 studies remained for review. All articles that were identified were full-text, English language articles examining adults with chronic SCI who were fasted for a minimum of 8 hr before undergoing RMR through indirect calorimetry for at least 20 min. The measured RMR ranged from 1,256.0 to 1,854.0 kcal/day, whereas the estimated RMR ranged from 1,276.8 to 1,808.0 kcal/day in the chronic SCI population. Seven studies overestimated RMR from 4% to 15%, whereas two studies underestimated RMR from 2% to 17% using prediction equations established for the able-bodied population. Two studies produced SCI-specific equations to estimate RMR. With regard to sex and level of injury, RMR does not differ between individuals with tetraplegia and paraplegia, whereas sex-based differences remain inconclusive, given limited results. These data provide evidence for the use of indirect calorimetry to assess RMR and the need to validate SCI-specific prediction equations in the estimation of RMR.

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Underestimation of resting metabolic rate using equations compared to indirect calorimetry in normal-weight subjects: Consideration of resting metabolic rate as a function of body composition

Clinical Nutrition Open Science ◽

10.1016/j.nutos.2021.01.003 ◽

2021 ◽

Vol 35 ◽

pp. 48-66

Author(s):

Hannes Nösslinger ◽

Ewald Mair ◽

Hermann Toplak ◽

Marlies Hörmann-Wallner

Keyword(s):

Body Composition ◽

Metabolic Rate ◽

Indirect Calorimetry ◽

Resting Metabolic Rate ◽

Normal Weight

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Energy Expenditure of Level Overground Walking in Young Adults: Comparison With Prediction Equations

Journal of Physical Activity and Health ◽

10.1123/jpah.2020-0283 ◽

2021 ◽

pp. 1-8

Author(s):

Jingjing Xue ◽

Shuo Li ◽

Rou Wen ◽

Ping Hong

Keyword(s):

Young Adults ◽

Energy Expenditure ◽

Metabolic Rate ◽

Energy Cost ◽

Sports Medicine ◽

Resting Metabolic Rate ◽

Prediction Equations ◽

Overground Walking ◽

All Speeds ◽

Walking Energy Cost

Background: The purpose of this study was to investigate the accuracy of the published prediction equations for determining level overground walking energy cost in young adults. Methods: In total, 148 healthy young adults volunteered to participate in this study. Resting metabolic rate and energy expenditure variables at speeds of 4, 5, and 6 km/h were measured by indirect calorimetry, walking energy expenditure was estimated by 3 published equations. Results: The gross and net metabolic rate per mile of level overground walking increased with increased speed (all P < .01). Females were less economical than males. The present findings revealed that the American College of Sports Medicine and Pandolf et al equations significantly underestimated the energy cost of overground walking at all speeds (all P < .01) in young adults. The percentage mean bias for American College of Sports Medicine, Pandolf et al, and Weyand et al was 12.4%, 16.8%, 1.4% (4 km/h); 21.6%, 15.8%, 7.1% (5 km/h); and 27.6%, 12%, 6.6% (6 km/h). Bland–Altman plots and prediction error analysis showed that the Weyand et al was the most accurate in 3 existing equations. Conclusions: The Weyand et al equation appears to be the most suitable for the prediction of overground walking energy expenditure in young adults.

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A VALIDATION OF 4 RESTING METABOLIC RATE PREDICTION EQUATIONS WHICH INCORPORATE DIFFERENT DODY SIZE INDICES

Medicine & Science in Sports & Exercise ◽

10.1249/00005768-199205001-00060 ◽

1992 ◽

Vol 24 (Supplement) ◽

pp. S10

Author(s):

J. Morrill ◽

J. Chronchio ◽

S. Volpe-Snyder ◽

P. S. Freedson ◽

A. F. Maliszcwski

Keyword(s):

Metabolic Rate ◽

Resting Metabolic Rate ◽

Prediction Equations ◽

Rate Prediction

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Accuracy of resting metabolic rate prediction equations among healthy adults in Trinidad and Tobago

Nutrition and Health ◽

10.1177/0260106020966235 ◽

2020 ◽

pp. 026010602096623

Author(s):

Selby Nichols ◽

Dennora George ◽

Patrice Prout ◽

Nequesha Dalrymple

Keyword(s):

Metabolic Rate ◽

Standard Procedure ◽

Resting Metabolic Rate ◽

Demographic Variables ◽

Overweight And Obesity ◽

Accurate Estimation ◽

Prediction Equations ◽

The Caribbean ◽

The University ◽

Adult Volunteers

Background: Over 50% of adults in Latin America and the Caribbean have a body mass index (BMI) ≥ 25 suggesting excess energy intakes relative to energy expenditure. Accurate estimation of resting metabolic rate (RMR), the largest component of total energy requirements, is crucial to strategies aimed at reducing the prevalence and incidence of overweight and obesity. Aim: We evaluated the accuracies of established and locally developed RMR prediction equations (RMRP) among adults. Methods: Four hundred adult volunteers ages 20 to 65 years had RMR measured (RMRM) with a MedGem® indirect calorimeter according to recommended procedures. RMRP were compared to RMRM with values ± 10% of RMRM deemed accurate. Anthropometry was measured using standard procedure. Linear regression with bootstrap analyses was used to develop local RMRP equations based on anthropometric and demographic variables. The University of the West Indies Ethics Committee approved the study. Results: Males had higher mean absolute RMR ( p < 0.001) but similar mean age-adjusted measured RMR per kg of body (20.9 vs. 21.5 kcals/day; p = 0.1) to females. The top performing established anthropometry-based RMRP among participants by sex, physical activity (PA) level and BMI status subgroups were Mifflin-St Jeor, Owen, Korth, Harris–Benedict, and Livingston, while Johnstone, Cunningham, Müller (body composition (BC)), Katch and McArdle, Mifflin-St Jeor (BC) were the most accurate BC-based RMRP. Locally developed RMRP had accuracies comparable to their top-ranked established RMRP counterparts. Conclusions: Accuracies of established RMRP depended on habitual PA level, BMI status, BC and sex. Furthermore, locally developed RMRP provide useful alternatives to established RMRP.

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