Literature DB >> 20683093

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

Sarah Kozey1, Kate Lyden, John Staudenmayer, Patty Freedson.   

Abstract

PURPOSE: To compare intensity misclassification and activity MET values using measured RMR (measMET) compared with 3.5 ml x kg(-1) x min(-1) (standMET) and corrected METs [corrMET = mean standMET x (3.5 / Harris-Benedict RMR)] in subgroups.
METHODS: RMR was measured for 252 subjects following a 4-hr fast and before completion of 11 activities. VO2 was measured during activity using indirect calorimetry (n = 2555 activities). Subjects were classified by BMI category (normal-weight or overweight/obese), sex, age (decade 20, 30, 40, or 50 y), and fitness quintiles (low to high). Activities were classified into low, moderate, and vigorous intensity categories.
RESULTS: The (mean +/- SD) measMET was 6.1 +/- 2.64 METs. StandMET [mean (95% CI)] was (0.51(0.42, 0.59) METs) less than measMET. CorrMET was not statistically different from measMET (-0.02 (-0.11, 0.06) METs). 12.2% of the activities were misclassified using standMETs compared with an 8.6% misclassification rate for METs based on predicted RMR (P < .0001). StandMET differences and misclassification rates were highest for low fit, overweight, and older individuals while there were no differences when corrMETs were used.
CONCLUSION: Using 3.5 ml x kg(-1) x min(-1) to calculate activity METs causes higher misclassification of activities and inaccurate point estimates of METs than a corrected baseline which considers individual height, weight, and age. These errors disproportionally impact subgroups of the population with the lowest activity levels.

Entities:  

Mesh:

Year:  2010        PMID: 20683093     DOI: 10.1123/jpah.7.4.508

Source DB:  PubMed          Journal:  J Phys Act Health        ISSN: 1543-3080


  40 in total

1.  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

2.  METs and accelerometry of walking in older adults: standard versus measured energy cost.

Authors:  Katherine S Hall; Cheryl A Howe; Sharon R Rana; Clara L Martin; Miriam C Morey
Journal:  Med Sci Sports Exerc       Date:  2013-03       Impact factor: 5.411

3.  A comparison of accelerometry analysis methods for physical activity in older adult women and associations with health outcomes over time.

Authors:  Katie J Thralls; Suneeta Godbole; Todd M Manini; Eileen Johnson; Loki Natarajan; Jacqueline Kerr
Journal:  J Sports Sci       Date:  2019-06-14       Impact factor: 3.337

4.  Energy cost of common activities in children and adolescents.

Authors:  Kate Lyden; Sarah Kozey Keadle; John Staudenmayer; Patty Freedson; Sofiya Alhassan
Journal:  J Phys Act Health       Date:  2012-02-29

5.  Accelerometer output and MET values of common physical activities.

Authors:  Sarah L Kozey; Kate Lyden; Cheryl A Howe; John W Staudenmayer; Patty S Freedson
Journal:  Med Sci Sports Exerc       Date:  2010-09       Impact factor: 5.411

Review 6.  Computational methods for estimating energy expenditure in human physical activities.

Authors:  Shaopeng Liu; Robert X Gao; Patty S Freedson
Journal:  Med Sci Sports Exerc       Date:  2012-11       Impact factor: 5.411

Review 7.  Effects of Exergaming on Physical Activity in Overweight Individuals.

Authors:  Christoph Höchsmann; Michael Schüpbach; Arno Schmidt-Trucksäss
Journal:  Sports Med       Date:  2016-06       Impact factor: 11.136

Review 8.  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

9.  Engagement, enjoyment, and energy expenditure during active video game play.

Authors:  Elizabeth J Lyons; Deborah F Tate; Dianne S Ward; Kurt M Ribisl; J Michael Bowling; Sriram Kalyanaraman
Journal:  Health Psychol       Date:  2013-03-25       Impact factor: 4.267

10.  Gross and relative energy cost of domestic household activities in Asian men.

Authors:  H-J Goh; P Govindharajulu; S G Camps; S-Y Tan; C J Henry
Journal:  Eur J Clin Nutr       Date:  2016-07-27       Impact factor: 4.016

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.