Compendium of Physical Activities: classification of energy costs of human physical activities

Ainsworth, Barbara E.; Haskell, William L.; Leon, Arthur S.; Jacobs, David R.; Montoye, Henry J.; Sallis, James F.; Paffenbarger, Ralph S.

doi:10.1249/00005768-199301000-00011

Cited by 3,479 publications

(2,351 citation statements)

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“…This is particularly true for passive activities, such as``read a book,''``read magazine /not ascertained,'' and``read a newspaper.'' These three CHAD codes all have the same METS distribution ( uniform: 1.0 ±1.6 ), following the activity literature (Ainsworth et al, 1993 ) . Unless there is a systematic relationship between one of these activities and a pollution source, it is efficient to combine them.…”

Section: Resultsmentioning

confidence: 99%

“…Such estimates are available in numerous articles that continually appear in journals such as The American Journal of Clinical Nutrition, Pediatric Exercise Science, and The American Journal of Sports Medicine. One particularly helpful article is Ainsworth et al (1993 ) , a synoptic compendium of physical activities. This article contains METS estimates for hundreds of activities, and is used as a template for all activities that appear in CHAD.…”

Section: Metsmentioning

confidence: 99%

“…It is for the Compendium activity:``aerobic dancing: low impact; dancercize'' a low rate. METS estimates from the literature are: 5.0 ( Ainsworth et al, 1993 ) and 3.9± 9.0 (Stephens and Craig, 1989;Jette Â et al, 1990 ). The wide spread in these estimates for an activity is typical and reflects differences in methods used to estimate energy expenditure in exercising individuals, and, most importantly, differences in the individuals included in a given monitoring study.…”

Section: Metsmentioning

confidence: 99%

See 2 more Smart Citations

The National Exposure Research Laboratory's Consolidated Human Activity Database

McCurdy

Glen²,

Smith³

et al. 2000

J Expo Sci Environ Epidemiol

123

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EPA's National Exposure Research Laboratory ( NERL ) has combined data from 12 U.S. studies related to human activities into one comprehensive data system that can be accessed via the Internet. The data system is called the Consolidated Human Activity Database ( CHAD ) and is available at http: / / www.epa.gov / nerl / . CHAD contains 22,968 person days of activity and is designed to assist exposure assessors and modelers in constructing populatioǹ`c ohorts'' of people with specified characteristics that are suitable for subsequent analysis or modeling. This paper describes the studies comprising CHAD and the various intellectual foundations that underlay the gathering of human activity pattern data. Next, it provides a brief overview of the Internet version of CHAD, and discusses how the program was formulated. Emphasis is placed on how activity -specific energy expenditure estimates were developed. Finally, the paper recommends steps that should be taken to improve the collection of activity data that would improve energy expenditure estimates and related information needed for physiologically based exposure ± dose modeling efforts.

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Section: Resultsmentioning

confidence: 99%

Section: Metsmentioning

confidence: 99%

Section: Metsmentioning

confidence: 99%

See 1 more Smart Citation

The National Exposure Research Laboratory's Consolidated Human Activity Database

McCurdy

Glen²,

Smith³

et al. 2000

J Expo Sci Environ Epidemiol

123

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show abstract

“…Lifestyle, anthropometric and medical variables The frequency and duration of participation in occupational and leisure-time physical activities were recorded in the questionnaire (29) and allowed the calculation of a metabolic equivalent index (MET value) to each activity (household, professional, sporting and other activities) (30) and eventually an overall MET3h sum, which indicates the amount of energy per kilogram of body weight expended during an average day by each participant. Standard interviewing procedures were used to assess baseline sociodemographic, medical and lifestyle characteristics, such as age, years of schooling (as an indicator of socio-economic status), marital status and tobacco smoking.…”

Section: Study Participantsmentioning

confidence: 99%

Diet, physical activity and cognitive impairment among elders: the EPIC–Greece cohort (European Prospective Investigation into Cancer and Nutrition)

Ψαλτοπούλου

Kyrozis

Stathopoulos

et al. 2008

Public Health Nutr.

149

103

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“…METS values are derived from physiological studies of exercising people and are used in estimating total daily energy expenditure in individuals (McCurdy, 2000a). METS are the ratio of a person's activity-specific energy expenditure to his or her basal metabolic rate, and thus are unitless (Jette et al, 1990;Ainsworth et al, 1993). METS estimates are derived from measurements of oxygen consumption in individuals during rest and other activities.…”

Section: Introductionmentioning

confidence: 99%

Modeling energy expenditure and oxygen consumption in human exposure models: accounting for fatigue and EPOC

Isaacs

Glen

McCurdy

et al. 2007

J Expo Sci Environ Epidemiol

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Human exposure and dose models often require a quantification of oxygen consumption for a simulated individual. Oxygen consumption is dependent on the modeled individual's physical activity level as described in an activity diary. Activity level is quantified via standardized values of metabolic equivalents of work (METS) for the activity being performed and converted into activity-specific oxygen consumption estimates. However, oxygen consumption remains elevated after a moderate-or high-intensity activity is completed. This effect, which is termed excess post-exercise oxygen consumption (EPOC), requires upward adjustment of the METS estimates that follow high-energy expenditure events, to model subsequent increased ventilation and intake dose rates. In addition, since an individual's capacity for work decreases during extended activity, methods are also required to adjust downward those METS estimates that exceed physiologically realistic limits over time. A unified method for simultaneously performing these adjustments is developed. The method simulates a cumulative oxygen deficit for each individual and uses it to impose appropriate time-dependent reductions in the METS time series and additions for EPOC. The relationships between the oxygen deficit and METS limits are nonlinear and are derived from published data on work capacity and oxygen consumption. These modifications result in improved modeling of ventilation patterns, and should improve intake dose estimates associated with exposure to airborne environmental contaminants.

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Compendium of Physical Activities: classification of energy costs of human physical activities

Cited by 3,479 publications

References 0 publications

The National Exposure Research Laboratory's Consolidated Human Activity Database

The National Exposure Research Laboratory's Consolidated Human Activity Database

Diet, physical activity and cognitive impairment among elders: the EPIC–Greece cohort (European Prospective Investigation into Cancer and Nutrition)

Modeling energy expenditure and oxygen consumption in human exposure models: accounting for fatigue and EPOC

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