Evaluation of a Commercial Accelerometer (Tritrac-R3 D) to Measure Energy Expenditure During Ambulation

Sherman, W. M.; Morris, Diane H.; Kirby, Timothy E.; Petosa, Rick; Smith, Barbara A.; Frid, David J.; Leenders, N.

doi:10.1055/s-2007-971878

Cited by 40 publications

(23 citation statements)

References 5 publications

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“…26,27 The current prediction models adopted by the Tritrac-R3D use the linear regression approach and only the vector magnitude of counts from all three axes. The performance of this model was shown to be acceptable for level walking and jogging (40-70% V O 2 max on a treadmill) for a small group of young and fit individuals in one study, 28 but both overestimations 19,20,29,30 and underestimations 17,31 have been reported in walking and other free-living physical activities. Previously, we also found a significant underestimation of total EE ACT by 50-70% using the Tritrac-R3D linear regression model.…”

Section: Discussionmentioning

confidence: 96%

Predicting Energy Expenditure of Physical Activity Using Hip- and Wrist-Worn Accelerometers

Chen

Acra

Majchrzak

et al. 2003

Diabetes Technology & Therapeutics

105

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To investigate the association between physical activity and health, we need accurate and detailed free-living physical activity measurements. The determination of energy expenditure of activity (EE ACT ) may also be useful in the treatment and maintenance of nutritional diseases such as diabetes mellitus. Minute-to-minute energy expenditure during a 24-h period was measured in 60 sedentary normal female volunteers (35.4 ± 9.0 years, body mass index 30.0 ± 5.9 kg/m 2 ), using a state-of-theart whole-room indirect calorimeter. The activities ranged from sedentary deskwork to walking and stepping at different intensities. Body movements were simultaneously measured using a hip-worn triaxial accelerometer (Tritrac-R3D, Hemokentics, Inc., Madison, Wisconsin) and a wrist-worn uniaxial accelerometer (ActiWatch AW64, MiniMitter Co., Sunriver, Oregon) on the dominant arm. Movement data from the accelerometers were used to develop nonlinear prediction models (separately and combined) to estimate EE ACT and compared for accuracy. In a subgroup (n = 12), a second 24-h study period was repeated for cross-validation of the combined model. The combined model, using Tritrac-R3D and ActiWatch, accurately estimated total EE ACT (97.7 ± 3.2% of the measured values, p = 0.781), as compared with using ActiWatch (86.0 ± 4.7%, p < 0.001) or Tritrac-R3D (90.0 ± 4.6%, p < 0.001) alone. This model was also accurate for all intensity categories during various physical activities. The subgroup cross-validation also showed accurate and reproducible predictions by the combination model. In this study, we demonstrated that movement measured using accelerometers at the hip and wrist could be used to accurately predict EE ACT of various types and intensity of activities. This concept can be extended to develop valid models for the accurate measurement of free-living energy metabolism in clinical populations.

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Section: Discussionmentioning

confidence: 96%

Predicting Energy Expenditure of Physical Activity Using Hip- and Wrist-Worn Accelerometers

Chen

Acra

Majchrzak

et al. 2003

Diabetes Technology & Therapeutics

105

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“…Similar research is needed for the Tritrac. 14 Subject comfort in wearing an accelerometer is determined by site of attachment, size and weight of the accelerometer. The majority of studies with body ®xed accelerometers for activity assessment use the hip, waist or low back as the site of attachment.…”

Section: Discussionmentioning

confidence: 99%

Physical activity assessment with accelerometers

1999

Int J Obes

224

150

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OBJECTIVE: Evaluation of motion sensors, speci®cally accelerometers, as an objective tool for the assessment of physical activity in large populations, over periods long enough to be representative of normal daily life and with minimal discomfort to the subjects. METHOD: Review of validation studies of accelerometers with indirect calorimetry as a reference method. Accelerometers were commercially available one-axial accelerometers: Caltrac 1 , Computer Science Application (CSA) accelerometer, Mini Motionlogger Actigraph; the tri-axial accelerometer Tritrac-R3 D; and an tri-axial accelerometer for movement registration (Tracmor) from our laboratory. RESULTS: There is no clear difference for correspondence between indirect calorimetry and accelerometer counts during level walking, whether one-axial or tri-axial and placed at the wrist, hip or low back. Sedentary activities are better re¯ected with a tri-axial accelerometer than with a one-axial accelerometer. Two accelerometers were validated in free living conditions with doubly labeled water. The highest correlation between accelerometer output and activity induced energy expenditure was found for Tracmor. CONCLUSIONS: From all accelerometers tested, the tri-axial accelerometer for movement registration is an objective method that can be used to distinguish differences in activity levels between individuals and assess the effect of interventions on physical activity within individuals.

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“…They validated these formulas against DLW, concluding that there were no significant differences between the methods (an average difference of 2.7¡8%). In healthy subjects, it has been shown that the accelerometer's output is significantly correlated to energy expenditure [152,153], although this was never shown in COPD patients. However, the literature shows conflicting results concerning the accuracy of energy expenditure estimation using accelerometers [143,[154][155][156][157], with some studies suggesting underestimation and others overestimation.…”

Section: Validitymentioning

confidence: 96%

Quantifying physical activity in daily life with questionnaires and motion sensors in COPD

Pitta¹,

Troosters²,

Probst³

et al. 2006

Eur Respir J

405

323

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Accurate assessment of the amount and intensity of physical activity in daily life is considered very important due to the close relationship between physical activity level, health, disability and mortality. For this reason, assessment of physical activity in daily life has gained interest in recent years, especially in sedentary populations, such as patients with chronic obstructive pulmonary disease (COPD).The present article aims to compare and discuss the two kinds of instruments more commonly used to quantify the amount of physical activity performed by COPD patients in daily life: subjective methods (questionnaires, diaries) and motion sensors (electronic or mechanical methods). Their characteristics are summarised and evidence of their validity, reliability and sensitivity is discussed, when available.Subjective methods have practical value mainly in providing the patients' view on their performance in activities of daily living and functional status. However, care must be taken when using subjective methods to accurately quantify the amount of daily physical activity performed. More accurate information is likely to be available with motion sensors rather than questionnaires. The selection of which motion sensor to use for quantification of physical activity in daily life should depend mainly on the purpose of its use.

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Evaluation of a Commercial Accelerometer (Tritrac-R3 D) to Measure Energy Expenditure During Ambulation

Cited by 40 publications

References 5 publications

Predicting Energy Expenditure of Physical Activity Using Hip- and Wrist-Worn Accelerometers

Predicting Energy Expenditure of Physical Activity Using Hip- and Wrist-Worn Accelerometers

Physical activity assessment with accelerometers

Quantifying physical activity in daily life with questionnaires and motion sensors in COPD

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