Energy Expenditure Estimated by Accelerometry and Doubly Labeled Water

Abstract

Of the 14 different regression equations from the literature, only two developed for ACT compared favorably with DLW; however, the difference in TDEE between these two methods was variable and rather large. These results reemphasize the difficulty in converting body movement into energy expenditure on an individual basis from accelerometry. These results imply that researchers may want to avoid using accelerometers to predict energy expenditure in free-living conditions, instead using these instruments only to measure patterns of physical activity.

Physical activity in patients with COPD

“…Pedometers and accelerometers generate objective data in terms of quantifying steps or body movements performed over a period of time [5]. However, estimating total daily energy expenditure from body movement counts has been shown to be inaccurate [10,11]. Recently, a multisensor armband (SenseWear Pro armband; BodyMedia, Inc., Pittsburgh, PA, USA) became available.…”

Status of physical activity in the Japanese population

“…In particular, the algorithms for prediction of MET values are very different between accelerometers. In addition, many accelerometers, including those marketed by Japanese companies to adults 33) and children 34,35) , use algorithms that underestimate non-locomotive PA 36) , leading to underestimation of total energy expenditure (TEE) 18,20,[37][38][39][40][41] . Nonlocomotive PA, such as household activity, should play a significant role in increasing PAL and TEE under freeliving conditions 42) , and needs to be accurately evaluated in order to predict sedentary behavior and light intensity level of activity 4,5) .…”

Counting calories in cormorants: dynamic body acceleration predicts daily energy expenditure measured in pelagic cormorants

“…The doubly labelled water (DLW) method provides only a single, time-averaged estimate whereas heart-rate methods need to account for cardiovascular adjustments independent of energy expenditure (Speakman, 1997;Butler et al, 2004;Green et al, 2009;Green, 2011). The invention of miniature accelerometers has led to the development of accelerometry as a novel technique for estimating energy expenditure that accurately predicts oxygen consumption for humans (Plasqui and Westerterp, 2007;Halsey et al, 2008;Leenders et al, 2006), captive or semi-captive animals (Williams et al, 2004;Fahlman et al, 2008;Wilson et al, 2006;Halsey et al, 2009;Enstipp et al, 2011), domesticated animals Miwa et al, 2015), animals in the wild (Payne et al, 2011;Elliott et al, 2013a;Bishop et al, 2015) and even relatively sedentary animals (Lyons et al, 2013).…”