Literature DB >> 8872675

Daily physical activity assessment: comparison between movement registration and doubly labeled water.

C V Bouten1, W P Verboeket-van de Venne, K R Westerterp, M Verduin, J D Janssen.   

Abstract

The use of movement registration for daily physical activity assessment was evaluated during a 7-day period in 30 free-living subjects. Body movement was registered with a Tracmor motion sensor consisting of a triaxial accelerometer and a data unit for on-line processing of accelerometer output over 1-min intervals. Average Tracmor output was correlated against four different energy estimates: 1) average daily metabolic rate (ADMR), determined with doubly labeled water; 2) ADMR-sleeping metabolic rate (SMR; determined in a respiration chamber); 3) (ADMR-SMR) per kilogram of body mass; and 4) the overall physical activity level (PAL = ADMR/SMR). The highest correlation was found for the relationship between Tracmor output and PAL (r = 0.58). After correction for Tracmor values arising from vibrations produced by transportation means, this correlation was improved to 0.73. There was no difference between Tracmor output and PAL in discriminating between overall activity levels with "low" (PAL < 1.60), "moderate" (1.60 < or = PAL < or = 1.85), and "high" (PAL > 1.85) intensity. It is concluded that the Tracmor can be used in free-living subjects to distinguish among interindividual as well as intraindividual levels of daily physical activity.

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Year:  1996        PMID: 8872675     DOI: 10.1152/jappl.1996.81.2.1019

Source DB:  PubMed          Journal:  J Appl Physiol (1985)        ISSN: 0161-7567


  28 in total

1.  Predicting energy expenditure of physical activity using hip- and wrist-worn accelerometers.

Authors:  Kong Y Chen; Sari A Acra; Karen Majchrzak; Candice L Donahue; Lemont Baker; Linda Clemens; Ming Sun; Maciej S Buchowski
Journal:  Diabetes Technol Ther       Date:  2003       Impact factor: 6.118

2.  Physical activity level measured by doubly labeled water and accelerometry in children.

Authors:  Marije B Hoos; G Plasqui; Willem-Jan M Gerver; Klaas R Westerterp
Journal:  Eur J Appl Physiol       Date:  2003-07-09       Impact factor: 3.078

3.  Characteristics of walking, activity, fear of falling, and falls in community-dwelling older adults by residence.

Authors:  David M Wert; Jaime B Talkowski; Jennifer Brach; Jessie VanSwearingen
Journal:  J Geriatr Phys Ther       Date:  2010 Jan-Mar       Impact factor: 3.381

Review 4.  Physical Activity Capture Technology With Potential for Incorporation Into Closed-Loop Control for Type 1 Diabetes.

Authors:  Vikash Dadlani; James A Levine; Shelly K McCrady-Spitzer; Eyal Dassau; Yogish C Kudva
Journal:  J Diabetes Sci Technol       Date:  2015-10-18

5.  Classification of basic daily movements using a triaxial accelerometer.

Authors:  M J Mathie; B G Celler; N H Lovell; A C F Coster
Journal:  Med Biol Eng Comput       Date:  2004-09       Impact factor: 2.602

6.  Activity monitoring and energy expenditure in COPD patients: a validation study.

Authors:  Sanjay A Patel; Roberto P Benzo; William A Slivka; Frank C Sciurba
Journal:  COPD       Date:  2007-06       Impact factor: 2.409

Review 7.  Assessment of physical activity: a critical appraisal.

Authors:  Klaas R Westerterp
Journal:  Eur J Appl Physiol       Date:  2009-02-11       Impact factor: 3.078

8.  Light-intensity activities are important for estimating physical activity energy expenditure using uniaxial and triaxial accelerometers.

Authors:  Yosuke Yamada; Keiichi Yokoyama; Risa Noriyasu; Tomoaki Osaki; Tetsuji Adachi; Aya Itoi; Yoshihiko Naito; Taketoshi Morimoto; Misaka Kimura; Shingo Oda
Journal:  Eur J Appl Physiol       Date:  2008-10-14       Impact factor: 3.078

9.  Physical activity assessment: comparison between movement registration and doubly labeled water method.

Authors:  K R Westerterp; C V Bouten
Journal:  Z Ernahrungswiss       Date:  1997-12

Review 10.  Estimating human energy expenditure: a review of techniques with particular reference to doubly labelled water.

Authors:  Philip Ainslie; Thomas Reilly; Klass Westerterp
Journal:  Sports Med       Date:  2003       Impact factor: 11.136

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