Literature DB >> 14685864

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

Anthony G Brooks1, Robert T Withers, Christopher J Gore, Andrew J Vogler, John Plummer, John Cormack.   

Abstract

This study determined whether four self-paced household tasks, conducted in the subjects' homes and a standardised laboratory environment, were performed at a moderate intensity [3-6 metabolic equivalents (METs)] in a representative sample of thirty-six 35- to 45-year-old females. Energy expenditure was also predicted via indirect methods. Self-paced energy expenditure during sweeping, window cleaning, vacuuming and mowing was measured using the Douglas bag technique. Heart rate, respiratory frequency, Computer Science Applications (CSA) movement counts (hip and wrist), Borg rating of perceived exertion and Quetelet's index were also recorded as potential predictors of energy expenditure. While the four activities were performed at mean intensities >or=3.0 METs in both the home and laboratory, all comparisons between these two environments were statistically significant ( P<0.001). The 95% confidence intervals (CIs) for the home and laboratory prediction equations were +/-1.1 METs and +/-1.0 MET, respectively. These data suggest that the aforementioned household chores can contribute to the 30 min x day(-1) of moderate-intensity activity required to confer health benefits. However, the substantial between-subject variability in energy expenditure resulted in some persons performing these tasks at a light intensity (<3.0 METs). The significant MET differences between the home and laboratory emphasise the effects of 'environment and terrain' and the 'mental approach to a task' on self-paced energy expenditure. Considering the means for the five activities ranged from 3.1 METs to 6.0 METs, the 95% CIs for the regression equations lack predictive precision.

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Year:  2003        PMID: 14685864     DOI: 10.1007/s00421-003-1018-9

Source DB:  PubMed          Journal:  Eur J Appl Physiol        ISSN: 1439-6319            Impact factor:   3.078


  20 in total

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2.  Speed and exercise intensity of recreational walkers.

Authors:  Elaine M Murtagh; Colin A G Boreham; Marie H Murphy
Journal:  Prev Med       Date:  2002-10       Impact factor: 4.018

3.  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

4.  Prediction of functional aerobic capacity without exercise testing.

Authors:  A S Jackson; S N Blair; M T Mahar; L T Wier; R M Ross; J E Stuteville
Journal:  Med Sci Sports Exerc       Date:  1990-12       Impact factor: 5.411

5.  Validity of four motion sensors in measuring moderate intensity physical activity.

Authors:  D R Bassett; B E Ainsworth; A M Swartz; S J Strath; W L O'Brien; G A King
Journal:  Med Sci Sports Exerc       Date:  2000-09       Impact factor: 5.411

6.  Simultaneous monitoring of heart rate and motion to assess energy expenditure.

Authors:  A Luke; K C Maki; N Barkey; R Cooper; D McGee
Journal:  Med Sci Sports Exerc       Date:  1997-01       Impact factor: 5.411

7.  Simultaneous heart rate-motion sensor technique to estimate energy expenditure.

Authors:  S J Strath; D R Bassett; A M Swartz; D L Thompson
Journal:  Med Sci Sports Exerc       Date:  2001-12       Impact factor: 5.411

8.  Self-selected exercise intensity of habitual walkers.

Authors:  C C Spelman; R R Pate; C A Macera; D S Ward
Journal:  Med Sci Sports Exerc       Date:  1993-10       Impact factor: 5.411

9.  Validity of the simultaneous heart rate-motion sensor technique for measuring energy expenditure.

Authors:  Scott J Strath; David R Bassett; Dixie L Thompson; Ann M Swartz
Journal:  Med Sci Sports Exerc       Date:  2002-05       Impact factor: 5.411

10.  The Australian Burden of Disease Study: measuring the loss of health from diseases, injuries and risk factors.

Authors:  C D Mathers; E T Vos; C E Stevenson; S J Begg
Journal:  Med J Aust       Date:  2000-06-19       Impact factor: 7.738

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  16 in total

1.  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

2.  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

3.  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

4.  Quantifying physical activity across the midlife: Does consideration of perceived exertion matter?

Authors:  Kelly R Ylitalo; Carrie A Karvonen-Gutierrez; Minsuk Oh; Barbara Sternfeld; James Stamey; Kelley Pettee Gabriel
Journal:  Prev Med Rep       Date:  2022-06-10

5.  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

6.  Relationships of self-reported physical activity domains with accelerometry recordings in French adults.

Authors:  David Jacobi; Marie-Aline Charles; Muriel Tafflet; Agnès Lommez; Jean-Michel Borys; Jean-Michel Oppert
Journal:  Eur J Epidemiol       Date:  2009-03-13       Impact factor: 8.082

7.  A method to estimate free-living active and sedentary behavior from an accelerometer.

Authors:  Kate Lyden; Sarah Kozey Keadle; John Staudenmayer; Patty S Freedson
Journal:  Med Sci Sports Exerc       Date:  2014-02       Impact factor: 5.411

Review 8.  Let them roam free? Physiological and psychological evidence for the potential of self-selected exercise intensity in public health.

Authors:  Panteleimon Ekkekakis
Journal:  Sports Med       Date:  2009       Impact factor: 11.136

9.  Calorimetry Minisensor for the Localised Measurement of Surface Heat Dissipated from the Human Body.

Authors:  Fabiola Socorro; Pedro Jesús Rodríguez de Rivera; Manuel Rodríguez de Rivera
Journal:  Sensors (Basel)       Date:  2016-11-06       Impact factor: 3.576

10.  Individualized Relative-Intensity Physical Activity Accelerometer Cut Points.

Authors:  Juned Siddique; David Aaby; Samantha E Montag; Stephen Sidney; Barbara Sternfeld; Whitney A Welch; Mercedes R Carnethon; Kiang Liu; Lynette L Craft; Kelley Pettee Gabriel; Bethany Barone Gibbs; Jared P Reis; Patty Freedson
Journal:  Med Sci Sports Exerc       Date:  2020-02
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