Literature DB >> 24300125

Examining variations of resting metabolic rate of adults: a public health perspective.

Robert G McMurray1, Jesus Soares, Carl J Caspersen, Thomas McCurdy.   

Abstract

PURPOSE: There has not been a recent comprehensive effort to examine existing studies on the resting metabolic rate (RMR) of adults to identify the effect of common population demographic and anthropometric characteristics. Thus, we reviewed the literature on RMR (kcal·kg(-1)·h(-1)) to determine the relationship of age, sex, and obesity status to RMR as compared with the commonly accepted value for the metabolic equivalent (MET; e.g., 1.0 kcal·kg(-1)·h(-1)).
METHODS: Using several databases, scientific articles published from 1980 to 2011 were identified that measured RMR, and from those, others dating back to 1920 were identified. One hundred and ninety-seven studies were identified, resulting in 397 publication estimates of RMR that could represent a population subgroup. Inverse variance weighting technique was applied to compute means and 95% confidence intervals (CI).
RESULTS: The mean value for RMR was 0.863 kcal·kg(-1)·h(-1) (95% CI = 0.852-0.874), higher for men than women, decreasing with increasing age, and less in overweight than normal weight adults. Regardless of sex, adults with BMI ≥ 30 kg·m(-2) had the lowest RMR (<0.741 kcal·kg(-1)·h(-1)).
CONCLUSIONS: No single value for RMR is appropriate for all adults. Adhering to the nearly universally accepted MET convention may lead to the overestimation of the RMR of approximately 10% for men and almost 15% for women and be as high as 20%-30% for some demographic and anthropometric combinations. These large errors raise questions about the longstanding adherence to the conventional MET value for RMR. Failure to recognize this discrepancy may result in important miscalculations of energy expended from interventions using physical activity for diabetes and other chronic disease prevention efforts.

Entities:  

Mesh:

Year:  2014        PMID: 24300125      PMCID: PMC4535334          DOI: 10.1249/MSS.0000000000000232

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  40 in total

Review 1.  Do African Americans have lower energy expenditure than Caucasians?

Authors:  B Gannon; L DiPietro; E T Poehlman
Journal:  Int J Obes Relat Metab Disord       Date:  2000-01

2.  Compendium of physical activities: an update of activity codes and MET intensities.

Authors:  B E Ainsworth; W L Haskell; M C Whitt; M L Irwin; A M Swartz; S J Strath; W L O'Brien; D R Bassett; K H Schmitz; P O Emplaincourt; D R Jacobs; A S Leon
Journal:  Med Sci Sports Exerc       Date:  2000-09       Impact factor: 5.411

3.  Errors in MET estimates of physical activities using 3.5 ml x kg(-1) x min(-1) as the baseline oxygen consumption.

Authors:  Sarah Kozey; Kate Lyden; John Staudenmayer; Patty Freedson
Journal:  J Phys Act Health       Date:  2010-07

Review 4.  Best practice methods to apply to measurement of resting metabolic rate in adults: a systematic review.

Authors:  Charlene Compher; David Frankenfield; Nancy Keim; Lori Roth-Yousey
Journal:  J Am Diet Assoc       Date:  2006-06

5.  2011 Compendium of Physical Activities: a second update of codes and MET values.

Authors:  Barbara E Ainsworth; William L Haskell; Stephen D Herrmann; Nathanael Meckes; David R Bassett; Catrine Tudor-Locke; Jennifer L Greer; Jesse Vezina; Melicia C Whitt-Glover; Arthur S Leon
Journal:  Med Sci Sports Exerc       Date:  2011-08       Impact factor: 5.411

6.  Impact of age on the relationships of brown adipose tissue with sex and adiposity in humans.

Authors:  Christina Pfannenberg; Matthias K Werner; Sabine Ripkens; Irina Stef; Annette Deckert; Maria Schmadl; Matthias Reimold; Hans-Ulrich Häring; Claus D Claussen; Norbert Stefan
Journal:  Diabetes       Date:  2010-03-31       Impact factor: 9.461

7.  Familial influences and obesity-associated metabolic risk factors contribute to the variation in resting energy expenditure: the Kiel Obesity Prevention Study.

Authors:  Anja Bosy-Westphal; Andreas Wolf; Frederike Bührens; Britta Hitze; Norbert Czech; Heiner Mönig; Oliver Selberg; Uta Settler; Maria Pfeuffer; Jürgen Schrezenmeir; Michael Krawczak; Manfred J Müller
Journal:  Am J Clin Nutr       Date:  2008-06       Impact factor: 7.045

8.  Resting energy expenditure and fat-free mass do not decline during aging in severely obese women.

Authors:  M Monda; G Messina; C Mangoni; B De Luca
Journal:  Clin Nutr       Date:  2008-06-02       Impact factor: 7.324

9.  Short stature and obesity: positive association in adults but inverse association in children and adolescents.

Authors:  Anja Bosy-Westphal; Sandra Plachta-Danielzik; Ralf-Peter Dörhöfer; Manfred J Müller
Journal:  Br J Nutr       Date:  2009-03-02       Impact factor: 3.718

10.  Interethnic differences in muscle, liver and abdominal fat partitioning in obese adolescents.

Authors:  David Liska; Sylvie Dufour; Tosca L Zern; Sara Taksali; Anna M G Calí; James Dziura; Gerald I Shulman; Bridget M Pierpont; Sonia Caprio
Journal:  PLoS One       Date:  2007-06-27       Impact factor: 3.240

View more
  33 in total

1.  Activation of NPRs and UCP1-independent pathway following CB1R antagonist treatment is associated with adipose tissue beiging in fat-fed male dogs.

Authors:  Malini S Iyer; Rebecca L Paszkiewicz; Richard N Bergman; Joyce M Richey; Orison O Woolcott; Isaac Asare-Bediako; Qiang Wu; Stella P Kim; Darko Stefanovski; Cathryn M Kolka; Deborah J Clegg; Morvarid Kabir
Journal:  Am J Physiol Endocrinol Metab       Date:  2019-06-25       Impact factor: 4.310

2.  Evaluating the Accuracy of Using Fixed Ranges of METs to Categorize Exertional Intensity in a Heterogeneous Group of Healthy Individuals: Implications for Cardiorespiratory Fitness and Health Outcomes.

Authors:  Danilo Iannetta; Daniel A Keir; Federico Y Fontana; Erin Calaine Inglis; Anmol T Mattu; Donald H Paterson; Silvia Pogliaghi; Juan M Murias
Journal:  Sports Med       Date:  2021-04-26       Impact factor: 11.136

3.  Energy Metabolism and the Burden of Multimorbidity in Older Adults: Results From the Baltimore Longitudinal Study of Aging.

Authors:  Elisa Fabbri; Yang An; Jennifer A Schrack; Marta Gonzalez-Freire; Marco Zoli; Eleanor M Simonsick; Jack M Guralnik; Cynthia M Boyd; Stephanie A Studenski; Luigi Ferrucci
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2014-11-18       Impact factor: 6.053

Review 4.  Activity-related energy expenditure in older adults: a call for more research.

Authors:  Katherine S Hall; Miriam C Morey; Chhanda Dutta; Todd M Manini; Arthur L Weltman; Miriam E Nelson; Amy L Morgan; Jane G Senior; Chris Seyffarth; David M Buchner
Journal:  Med Sci Sports Exerc       Date:  2014-12       Impact factor: 5.411

5.  Predicting resting energy expenditure in people with chronic spinal cord injury.

Authors:  Yiming Ma; Sonja de Groot; Dirk Hoevenaars; Wendy Achterberg; Jacinthe Adriaansen; Peter J M Weijs; Thomas W J Janssen
Journal:  Spinal Cord       Date:  2022-07-02       Impact factor: 2.772

6.  Energy expenditure and nutrient intake after spinal cord injury: a comprehensive review and practical recommendations.

Authors:  Gary J Farkas; Alicia Sneij; David W McMillan; Eduard Tiozzo; Mark S Nash; David R Gater
Journal:  Br J Nutr       Date:  2021-09-23       Impact factor: 4.125

7.  Youth Metabolic Equivalents Differ Depending on Operational Definitions.

Authors:  Paul R Hibbing; David R Bassett; Dawn P Coe; Samuel R Lamunion; Scott E Crouter
Journal:  Med Sci Sports Exerc       Date:  2020-08

8.  Monitoring exercise intensity in diabetes: applicability of "heart rate-index" to estimate oxygen consumption during aerobic and resistance training.

Authors:  A L Colosio; G Spigolon; E Bacchi; P Moghetti; S Pogliaghi
Journal:  J Endocrinol Invest       Date:  2019-11-28       Impact factor: 4.256

9.  Kids are not little adults: what MET threshold captures sedentary behavior in children?

Authors:  Pedro F Saint-Maurice; Youngwon Kim; Gregory J Welk; Glenn A Gaesser
Journal:  Eur J Appl Physiol       Date:  2015-08-14       Impact factor: 3.078

Review 10.  Energy Expenditure Following Spinal Cord Injury: A Delicate Balance.

Authors:  Gary J Farkas; Alicia Sneij; David R Gater
Journal:  Top Spinal Cord Inj Rehabil       Date:  2021
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.