Literature DB >> 23059862

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

Katherine S Hall1, Cheryl A Howe, Sharon R Rana, Clara L Martin, Miriam C Morey.   

Abstract

PURPOSE: This study aimed to measure the metabolic cost (METs) of walking activities in older adults, to examine the relationship between accelerometer output and METs across walking activities, and to compare measured MET values in older adults with the MET values in the compendium.
METHODS: Twenty older adults (mean age = 75, range = 60-90 yr) completed eight walking activities (five treadmill based, three free living) for 6 min each. Oxygen consumption (V˙O2) and resting metabolic rate (RMR) were measured using a portable metabolic system, and motion was recorded using a waist-mounted ActiGraph accelerometer (GT3X; ActiGraph, Pensicola, FL). Energy expenditure across activities was defined as kilocalories per minute and measured as METs (V˙O2 / RMR) and standard METs (V˙O2 / 3.5 mL·kg-1·min-1). Mixed modeling was used to assess differences in counts per minute and kilocalories per minute by weight status, sex, comorbidity status, and functional status. Linear regression analysis was applied to develop a prediction equation for kilocalories per minute. Energy costs of walking were subsequently compared with METs in the compendium of physical activities.
RESULTS: Average measured RMR was 2.6 mL·kg-1·min-1, 31.6% less than the standard RMR of 3.5 mL·kg-1·min-1. On average, standard METs were 71% lower than the measured METs across all walking activities. Measured MET levels differed from previously reported values in the literature and values listed in the compendium, resulting in misclassification of activity intensities for 60% of the walking conditions. Average counts for the walking activities ranged from 809 (treadmill = 1.5 mph) to 4593 counts per minute (treadmill = 3.5 mph). Previous regression equations consistently overestimate all activities compared with the measured energy cost in this sample of older adults.
CONCLUSION: This study identifies the need for equations and cut points specific to older adults.

Entities:  

Mesh:

Year:  2013        PMID: 23059862      PMCID: PMC5822436          DOI: 10.1249/MSS.0b013e318276c73c

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


  26 in total

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Authors:  J E McLaughlin; G A King; E T Howley; D R Bassett; B E Ainsworth
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2.  Validity of accelerometry for the assessment of moderate intensity physical activity in the field.

Authors:  D Hendelman; K Miller; C Baggett; E Debold; P Freedson
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.

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Review 4.  Calibration of accelerometer output for adults.

Authors:  Charles E Matthew
Journal:  Med Sci Sports Exerc       Date:  2005-11       Impact factor: 5.411

5.  The energy cost of household and garden activities in 55- to 65-year-old males.

Authors:  Simon M Gunn; Anthony G Brooks; Robert T Withers; Christopher J Gore; John L Plummer; John Cormack
Journal:  Eur J Appl Physiol       Date:  2005-04-07       Impact factor: 3.078

Review 6.  Physical activity as determinant of daily energy expenditure.

Authors:  Klaas R Westerterp
Journal:  Physiol Behav       Date:  2008-01-31

7.  Reliability, validity, and methodological issues in assessing physical activity in older adults.

Authors:  R E Rikli
Journal:  Res Q Exerc Sport       Date:  2000-06       Impact factor: 2.500

8.  Estimating absolute and relative physical activity intensity across age via accelerometry in adults.

Authors:  Nora E Miller; Scott J Strath; Ann M Swartz; Susan E Cashin
Journal:  J Aging Phys Act       Date:  2010-04       Impact factor: 1.961

9.  Metabolic cost of daily activities and effect of mobility impairment in older adults.

Authors:  Jeffrey D Knaggs; Kelly A Larkin; Todd M Manini
Journal:  J Am Geriatr Soc       Date:  2011-10-22       Impact factor: 5.562

10.  Accelerometer assessment of physical activity in active, healthy older adults.

Authors:  Jennifer L Copeland; Dale W Esliger
Journal:  J Aging Phys Act       Date:  2009-01       Impact factor: 1.961

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1.  Hippocampal gene expression patterns linked to late-life physical activity oppose age and AD-related transcriptional decline.

Authors:  Nicole C Berchtold; G Aleph Prieto; Michael Phelan; Daniel L Gillen; Pierre Baldi; David A Bennett; Aron S Buchman; Carl W Cotman
Journal:  Neurobiol Aging       Date:  2019-02-20       Impact factor: 4.673

2.  Utilization of 2013 BRFSS Physical Activity Data for State Cancer Control Plan Objectives: Alabama Data.

Authors:  Renee Desmond; Bradford E Jackson; Gary Hunter
Journal:  South Med J       Date:  2015-05       Impact factor: 0.954

3.  Evaluating Walking Intensity with Hip-Worn Accelerometers in Elders.

Authors:  Duane B Corbett; Vincenzo Valiani; Jeffrey D Knaggs; Todd M Manini
Journal:  Med Sci Sports Exerc       Date:  2016-11       Impact factor: 5.411

4.  A semiparametric model for wearable sensor-based physical activity monitoring data with informative device wear.

Authors:  Jaejoon Song; Michael D Swartz; Kelley Pettee Gabriel; Karen Basen-Engquist
Journal:  Biostatistics       Date:  2019-04-01       Impact factor: 5.899

Review 5.  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

6.  Classification of moderate-intensity overground walking speed in 21- to 85-year-old adults.

Authors:  Peixuan Zheng; Scott W Ducharme; Christopher C Moore; Catrine Tudor-Locke; Elroy J Aguiar
Journal:  J Sports Sci       Date:  2022-07-24       Impact factor: 3.943

7.  Resting Oxygen Uptake Value of 1 Metabolic Equivalent of Task in Older Adults: A Systematic Review and Descriptive Analysis.

Authors:  Asier Mañas; Ignacio Ara; Javier Leal-Martín; Miguel Muñoz-Muñoz; Sarah Kozey Keadle; Francisco Amaro-Gahete; Luis M Alegre
Journal:  Sports Med       Date:  2021-08-21       Impact factor: 11.928

8.  Relationships Between Profiles of Physical Activity and Major Mobility Disability in the LIFE Study.

Authors:  Jason Fanning; W Jack Rejeski; Shyh-Huei Chen; Jack Guralnik; Marco Pahor; Michael E Miller
Journal:  J Am Geriatr Soc       Date:  2020-03-20       Impact factor: 5.562

9.  Physical Performance Across the Adult Life Span: Correlates With Age and Physical Activity.

Authors:  Katherine S Hall; Harvey J Cohen; Carl F Pieper; Gerda G Fillenbaum; William E Kraus; Kim M Huffman; Melissa A Cornish; Andrew Shiloh; Christy Flynn; Richard Sloane; L Kristin Newby; Miriam C Morey
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2017-04-01       Impact factor: 6.053

10.  Inverse association between changes in energetic cost of walking and vertical accelerations in non-metastatic breast cancer survivors.

Authors:  Stephen J Carter; Laura Q Rogers; Heather R Bowles; Lyse A Norian; Gary R Hunter
Journal:  Eur J Appl Physiol       Date:  2019-09-13       Impact factor: 3.078

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