Literature DB >> 11984312

Determining energy expenditure during some household and garden tasks.

Simon M Gunn1, Anthony G Brooks, Robert T Withers, Christopher J Gore, Neville Owen, Michael L Booth, Adrian E Bauman.   

Abstract

PURPOSE: This study: a) calculated the reproducibility (intraclass correlation coefficient, ICC) and precision (technical error of measurement, TEM) for VO2 during moderate paced walking, self-paced sweeping, window cleaning, vacuuming and lawn mowing; b) determined which of the five activities rated >or= 3.0 when exercise intensity was calculated in METs (1 MET or metabolic equivalent = VO2 of 3.5 mL.kg-1.min-1) and multiples of the measured resting metabolic rate (RMR); and c) expanded the limited database on energy expenditure during household and garden activities.
METHODS: Twelve men and 12 women (mean +/- SD: 39.3 +/- 3.4 yr; 171.6 +/- 9.6 cm; 81.0 +/- 15.5 kg) were measured for RMR and VO2 during the five activities on two separate days via indirect calorimetry by using the Douglas bag method.
RESULTS: The interday ICCs and TEMs for the five activities ranged from 0.81 to 0.97 and from 2.1 to 7.0%, respectively. The means were significantly (P < 0.001) above 3.0 for moderate paced walking (range = 3.3-8.7), sweeping (2.9-6.7), window cleaning (3.0-6.0), vacuuming (2.6-4.4), and lawn mowing (4.9-7.5) when VO2 was divided by measured RMR, but one and five subjects scored below 3.0 for sweeping and vacuuming, respectively. Division of exercise VO2 by the convention of 3.5 mL O2.kg-1.min-1 significantly decreased (P < 0.001) each mean, and lawn mowing (5.0 METs) was the only activity where all subjects scored above 3.0 METs (P < 0.001; 3.8-6.4); nevertheless, the means for walking (3.7 METs), sweeping (3.2 METs), and window cleaning (3.6 METs) were also in the moderate intensity category of 3-6 METs.
CONCLUSIONS: These data: a) emphasize that the VO2 during self-paced moderate intensity walking and self-paced household and garden activities can be measured with reproducibility and precision, b) demonstrate that expressing energy expenditure in conventional METs yields lower values than when it is presented as a multiple of measured RMR, c) suggest that all activities except vacuuming are performed at moderate intensity when energy expenditure is expressed in conventional METs, and d) highlight the biological variability in energy expenditure when different people perform the same task.

Entities:  

Mesh:

Year:  2002        PMID: 11984312     DOI: 10.1097/00005768-200205000-00026

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


  13 in total

1.  Measurement and prediction of METs during household activities in 35- to 45-year-old females.

Authors:  Anthony G Brooks; Robert T Withers; Christopher J Gore; Andrew J Vogler; John Plummer; John Cormack
Journal:  Eur J Appl Physiol       Date:  2003-12-18       Impact factor: 3.078

2.  Measurement and prediction of energy expenditure in males during household and garden tasks.

Authors:  Simon M Gunn; Grant E van der Ploeg; Robert T Withers; Christopher J Gore; Neville Owen; Adrian E Bauman; John Cormack
Journal:  Eur J Appl Physiol       Date:  2003-09-04       Impact factor: 3.078

3.  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

4.  Self-selected exercise intensity during household/garden activities and walking in 55 to 65-year-old females.

Authors:  Robert T Withers; Anthony G Brooks; Simon M Gunn; John L Plummer; Christopher J Gore; John Cormack
Journal:  Eur J Appl Physiol       Date:  2006-06-10       Impact factor: 3.078

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Authors:  Felipe A Cunha; Adrian W Midgley; Walace Monteiro; Raul Freire; Tainah Lima; Paulo T V Farinatti
Journal:  Eur J Appl Physiol       Date:  2012-12-15       Impact factor: 3.078

6.  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

7.  Physical activity energy expenditure measured using a portable telemetric device in comparison with a mass spectrometer.

Authors:  C Maiolo; G Melchiorri; L Iacopino; S Masala; A De Lorenzo
Journal:  Br J Sports Med       Date:  2003       Impact factor: 13.800

8.  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

9.  Impaired economy of gait and decreased six-minute walk distance in Parkinson's disease.

Authors:  Leslie I Katzel; Frederick M Ivey; John D Sorkin; Richard F Macko; Barbara Smith; Lisa M Shulman
Journal:  Parkinsons Dis       Date:  2011-09-12

10.  Step rate-determined walking intensity and walking recommendation in Chinese young adults: a cross-sectional study.

Authors:  Huan Wang; Yan-Feng Zhang; Liang-Liang Xu; Chong-Min Jiang
Journal:  BMJ Open       Date:  2013-01-18       Impact factor: 2.692

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