Energy expenditure during household tasks in women with coronary artery disease

Wilke, Nancy A.; Sheldahl, Lois M.; Dougherty, Sara M.; Hanna, Richard D.; Nickele, Glenn A.; Tristani, Felix E.

doi:10.1016/s0002-9149(99)80651-1

Cited by 21 publications

(6 citation statements)

References 22 publications

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“…Other studies of older adults with comorbidities have demonstrated results similar to those of the current study . In one study, the compendium overestimated measured METs during vacuuming, washing dishes, and making beds in older women with a history of cardiovascular disease, at magnitudes similar to those of the current study (bed making, 3.42; vacuuming, 2.7; washing dishes, 1.8; ironing, 1.9 METs) . These observations are not limited to older adults; a recent study in a large sample of young to middle‐aged adults found that the compendium underestimated gardening and painting …”

Section: Discussionsupporting

confidence: 84%

“…4,6,17 In one study, the compendium overestimated measured METs during vacuuming, washing dishes, and making beds in older women with a history of cardiovascular disease, at magnitudes similar to those of the current study (bed making, 3.42; vacuuming, 2.7; washing dishes, 1.8; ironing, 1.9 METs). 20 These obser-vations are not limited to older adults; a recent study in a large sample of young to middle-aged adults found that the compendium underestimated gardening and painting. 3 There is an abundance of literature suggesting that older adults have high metabolic costs of walking at speeds ranging from very slow to fast.…”

Section: Discussionmentioning

confidence: 99%

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Metabolic Cost of Daily Activities and Effect of Mobility Impairment in Older Adults

Knaggs

Larkin

Manini

2011

J. Am. Geriatr. Soc.

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OBJECTIVES There is a shortage of information on metabolic costs of daily physical activities in older adults and the effect of having mobility impairments. The primary purpose of this study was to evaluate metabolic equivalent (MET) values on common daily tasks in men and women aged > 70 years compared to normative criteria. A secondary purpose was to determine the effect of having mobility impairments. DESIGN Cross-sectional observational study. SETTING University based research clinic PARTICIPANTS Forty-five participants aged 70 to 90 years of age (mean: 76.3 ± 5.1) volunteered to complete 17 daily activities, each lasting 10 minutes. MEASUREMENTS Oxygen consumption (VO2 = ml•kg−1•min−1) was measured through a mask by a portable gas analyzer and MET values were calculated as measured VO2/3.5 ml•kg−1•min−1. Values were compared to both normative values and between participants with and without mobility impairments. RESULTS Compared to the established normative criteria, measured METs were different in 14 of 17 tasks performed. Compared to measured METs, normative values underestimated walking leisurely (0.87 ± 0.12 METs) walking briskly (0.87 ± 0.12 METs ), and bed making (1.07 ± 0.10 METs ), but overestimated gardening (1.46 ± 0.12 METs) and climbing stairs (0.73 ± 0.18). Participants with impairments had significantly lower METs while gardening, vacuuming/sweeping, stair climbing, and walking briskly. However, when METs were adjusted for performance speed the metabolic costs were 16–27% higher for those with mobility impairments. CONCLUSION Compared to normative values, metabolic costs of daily activities are substantially different in older adults and having mobility impairments increases this metabolic cost. These results may have implications for practitioners to appropriately prescribe daily physical activities for healthy and mobility impaired older adults.

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Section: Discussionsupporting

confidence: 84%

Section: Discussionmentioning

confidence: 99%

Metabolic Cost of Daily Activities and Effect of Mobility Impairment in Older Adults

Knaggs

Larkin

Manini

2011

J. Am. Geriatr. Soc.

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“…The multitude of factors that can affect self-paced energy expenditure (aerobic fitness, environment, equipment, psychological approach, mechanical efficiency) suggest that mean METs for the same activity performed in different environments/terrains and in subjects of different age, gender, fitness and race will be extremely variable. Self-paced vacuuming is an example with mean METs of 2.6 (n=10, Luke et al 1997), 3.0 (n=25, Hendelman et al 2000), 3.1 (n=20, Wilke et al 1995), 3.5 (n=9, Bassett et al 2000), 3.9 (n=11, Strath et al 2001) and 4.0 (n=33 to 44, Welk et al 2000), whereas we measured a mean of 3.7 METs and the compendium assigns a value of 3.5 METs. Even though the rigorous nature of data collection suggests that our mean value is accurate for our group, this value may not necessarily apply to other groups of people (e.g.…”

Section: Discussionmentioning

confidence: 92%

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

Brooks

Withers

Gore³

et al. 2004

European Journal of Applied Physiology

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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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“…Wilke, 1995. Variety of household tasks63 : BMR -basal metabolic rate; PAR -physical activity ratio.…”

mentioning

confidence: 99%

A compilation of energy costs of physical activities

Vaz

Karaolis

Draper

et al. 2005

Public Health Nutr.

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Objectives: There were two objectives: first, to review the existing data on energy costs of specified activities in the light of the recommendations made by the Joint Food and Agriculture Organization/World Health Organization/United Nations University (FAO/WHO/UNU) Expert Consultation of 1985. Second, to compile existing data on the energy costs of physical activities for an updated annexure of the current Expert Consultation on Energy and Protein Requirements. Design: Electronic and manual search of the literature (predominantly English) to obtain published data on the energy costs of physical activities. The majority of the data prior to 1955 were obtained using an earlier compilation of Passmore and Durnin. Energy costs were expressed as physical activity ratio (PAR); the energy cost of the activity divided by either the measured or predicted basal metabolic rate (BMR). Results: The compilation provides PARs for an expanded range of activities that include general personal activities, transport, domestic chores, occupational activities, sports and other recreational activities for men and women, separately, where available. The present compilation is largely in agreement with the 1985 compilation, for activities that are common to both compilations. Conclusions: The present compilation has been based on the need to provide data on adults for a wide spectrum of human activity. There are, however, lacunae in the available data for many activities, between genders, across age groups and in various physiological states.

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Energy expenditure during household tasks in women with coronary artery disease

Cited by 21 publications

References 22 publications

Metabolic Cost of Daily Activities and Effect of Mobility Impairment in Older Adults

Metabolic Cost of Daily Activities and Effect of Mobility Impairment in Older Adults

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

A compilation of energy costs of physical activities

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