scholarly journals Comparison Of Daily Energy Expenditure And Weekly Physical Activity Exposure Estimated Using Consumer And Research-grade Physical Activity Monitors During Officer Cadet Initial Military Training

2018 ◽  
Vol 50 (5S) ◽  
pp. 640
Author(s):  
Steven D. Powell ◽  
Andrew G. Siddall ◽  
Jane E. S Thompson ◽  
Victoria C. Edwards ◽  
Sarah Jackson ◽  
...  
PLoS ONE ◽  
2017 ◽  
Vol 12 (2) ◽  
pp. e0171720 ◽  
Author(s):  
Enhad A. Chowdhury ◽  
Max J. Western ◽  
Thomas E. Nightingale ◽  
Oliver J. Peacock ◽  
Dylan Thompson

2004 ◽  
Vol 1 (3) ◽  
pp. 270-280 ◽  
Author(s):  
Hideaki Kumahara ◽  
Hiroaki Tanaka ◽  
Philippe Terrier ◽  
Kojiro Ishii ◽  
Jean-Michel Oppert ◽  
...  

Background:Daily energy expenditure (EE) assessment plays an important role in clinical strategies for lifestyle-related diseases. The purpose of this study was to compare the performance of 2 activity monitors from different manufacturers to estimate total energy expenditure (TEE) and physical activity related-energy expenditure (PAEE) in daily living conditions.Methods:Sixteen adults stayed in a respiratory chamber for 24 h. The subjects wore 2 accelerometers based on uniaxial (Lifecorder; UNI) and triaxial accelerometry (Tritrac-R3D; TRI).Results:A highly significant correlation was observed between measured TEE and estimated values (r=0.868 in UNI and r=0.819 in TRI; P<0.001). However, TEE and PAEE were significantly underestimated: TEEUNI by -9% and TEETRI by -12%; PAEEUNI by -10% and PAEETRI by -55%.Conclusions:The EE of structured activity was adequately estimated by both accelerometers, whereas the EE of the non-structured activities involved much more errors. The results also suggest that the algorithm for EE calculation may be more important than the number of planes used for detecting acceleration.


2003 ◽  
Vol 62 (3) ◽  
pp. 645-650 ◽  
Author(s):  
Klaas R. Westerterp

Activity intensity is a potential determinant of activity-induced energy expenditure. Tri-axial accelerometery is the most objective measurement technique for the assessment of activity intensity, in combination with doubly-labelled water for the measurement of energy expenditure under free-living conditions. Data on the effects of subject characteristics, including body size and age, and exercise training on the relationship between activity intensity and daily energy expenditure are reviewed. Average daily metabolic rate and non-basal energy expenditure are positively related to body size. The duration and intensity of physical activities do not need to be equivalent to the energy spent on activity. Obese subjects spend more energy on physical activity but can perform fewer activities, especially high-intensity (weight-bearing) activities, because of their higher body weight. Physical activity generally declines gradually from about 60 years of age onwards. Most subjects >80 years have an activity level well below the level defined for sedentary middle-aged adults. Spending relatively more time on low-intensity activities has a negative effect on the mean physical activity level. To obtain a higher physical activity level does not necessarily imply high-intensity activities. In an average subject 25% of the activity-induced energy expenditure may be attributed to high-intensity activities. Exercise training, as a form of high-intensity activity, affects the physical activity level more in younger subjects than in elderly subjects.


2017 ◽  
Vol 27 (3) ◽  
pp. 423-430 ◽  
Author(s):  
Timothy J. O’Neal ◽  
Danielle M. Friend ◽  
Juen Guo ◽  
Kevin D. Hall ◽  
Alexxai V. Kravitz

2017 ◽  
Vol 312 (3) ◽  
pp. R358-R367 ◽  
Author(s):  
Stephen P. Wright ◽  
Tyish S. Hall Brown ◽  
Scott R. Collier ◽  
Kathryn Sandberg

A sedentary lifestyle and lack of physical activity are well-established risk factors for chronic disease and adverse health outcomes. Thus, there is enormous interest in measuring physical activity in biomedical research. Many consumer physical activity monitors, including Basis Health Tracker, BodyMedia Fit, DirectLife, Fitbit Flex, Fitbit One, Fitbit Zip, Garmin Vivofit, Jawbone UP, MisFit Shine, Nike FuelBand, Polar Loop, Withings Pulse O2, and others have accuracies similar to that of research-grade physical activity monitors for measuring steps. This review focuses on the unprecedented opportunities that consumer physical activity monitors offer for human physiology and pathophysiology research because of their ability to measure activity continuously under real-life conditions and because they are already widely used by consumers. We examine current and potential uses of consumer physical activity monitors as a measuring or monitoring device, or as an intervention in strategies to change behavior and predict health outcomes. The accuracy, reliability, reproducibility, and validity of consumer physical activity monitors are reviewed, as are limitations and challenges associated with using these devices in research. Other topics covered include how smartphone apps and platforms, such as the Apple ResearchKit, can be used in conjunction with consumer physical activity monitors for research. Lastly, the future of consumer physical activity monitors and related technology is considered: pattern recognition, integration of sleep monitors, and other biosensors in combination with new forms of information processing.


2000 ◽  
Vol 24 (1) ◽  
pp. 55-59 ◽  
Author(s):  
J Esparza ◽  
C Fox ◽  
IT Harper ◽  
PH Bennett ◽  
LO Schulz ◽  
...  

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