Literature DB >> 22464547

An evaluation of the IDEEA™ activity monitor for estimating energy expenditure.

Stephen Whybrow1, Patrick Ritz, Graham W Horgan, R James Stubbs.   

Abstract

Objective estimates of activity patterns and energy expenditure (EE) are important for the measurement of energy balance. The Intelligent Device for Energy Expenditure and Activity (IDEEA) can estimate EE from the thirty-five postures and activities it can identify and record. The present study evaluated the IDEEA system's estimation of EE using whole-body indirect calorimetry over 24 h, and in free-living subjects using doubly-labelled water (DLW) over 14 d. EE was calculated from the IDEEA data using calibration values for RMR and EE while sitting and standing, both as estimated by the IDEEA system (IDEEA(est)) and measured by indirect calorimetry (IDEEA(meas)). Subjects were seven females and seven males, mean age 38·1 and 39·7 years, mean BMI 25·2 and 26·2 kg/m2, respectively. The IDEEA(est) method produced a similar estimate of EE to the calorimeter (10·8 and 10·8 MJ, NS), while the IDEEA(meas) method underestimated EE (9·9 MJ, P < 0·001). After removing data from static cycling, which the IDEEA was unable to identify as an activity, both the IDEEA(est) and IDEEA(meas) methods overestimated EE compared to the calorimeter (9·9 MJ, P < 0·001; 9·1 MJ, P < 0·05 and 8·6 MJ, respectively). Similarly, the IDEEA system overestimated EE compared to DLW over 14 d; 12·7 MJ/d (P < 0·01), 11·5 MJ/d (P < 0·01) and 9·5 MJ/d for the IDEEA(est), IDEEA(meas) and DLW, respectively. The IDEEA system overestimated EE both in the controlled laboratory and free-living environments. Using measured EE values for RMR, sitting and standing reduced, but did not eliminate, the error in estimated EE.

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Year:  2012        PMID: 22464547     DOI: 10.1017/S0007114512000645

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  12 in total

1.  Evaluation of the ability of three physical activity monitors to predict weight change and estimate energy expenditure.

Authors:  John B Correa; John W Apolzan; Desti N Shepard; Daniel P Heil; Jennifer C Rood; Corby K Martin
Journal:  Appl Physiol Nutr Metab       Date:  2016-03-14       Impact factor: 2.665

Review 2.  Wearable Sensors to Monitor, Enable Feedback, and Measure Outcomes of Activity and Practice.

Authors:  Bruce H Dobkin; Clarisa Martinez
Journal:  Curr Neurol Neurosci Rep       Date:  2018-10-06       Impact factor: 5.081

3.  IDEEA activity monitor: validity of activity recognition for lying, reclining, sitting and standing.

Authors:  Yuyu Jiang; Janet L Larson
Journal:  Front Med       Date:  2012-12-22       Impact factor: 4.592

4.  The energy expenditure of sedentary behavior: a whole room calorimeter study.

Authors:  Robert L Newton; Hongmei Han; Theodore Zderic; Mark T Hamilton; Marc Hamilton
Journal:  PLoS One       Date:  2013-05-03       Impact factor: 3.240

Review 5.  Assessment of physical activity and energy expenditure: an overview of objective measures.

Authors:  Andrew P Hills; Najat Mokhtar; Nuala M Byrne
Journal:  Front Nutr       Date:  2014-06-16

6.  Energy expenditure during common sitting and standing tasks: examining the 1.5 MET definition of sedentary behaviour.

Authors:  Maedeh Mansoubi; Natalie Pearson; Stacy A Clemes; Stuart Jh Biddle; Danielle H Bodicoat; Keith Tolfrey; Charlotte L Edwardson; Thomas Yates
Journal:  BMC Public Health       Date:  2015-05-29       Impact factor: 3.295

7.  Use of a Wireless Network of Accelerometers for Improved Measurement of Human Energy Expenditure.

Authors:  Alexander H Montoye; Bo Dong; Subir Biswas; Karin A Pfeiffer
Journal:  Electronics (Basel)       Date:  2014       Impact factor: 2.397

Review 8.  Posture Allocation Revisited: Breaking the Sedentary Threshold of Energy Expenditure for Obesity Management.

Authors:  Jennifer L Miles-Chan; Abdul G Dulloo
Journal:  Front Physiol       Date:  2017-06-22       Impact factor: 4.566

9.  Evaluations of Actiheart, IDEEA® and RT3 monitors for estimating activity energy expenditure in free-living women.

Authors:  Marie Löf; Hanna Henriksson; Elisabet Forsum
Journal:  J Nutr Sci       Date:  2013-09-06

Review 10.  Electronic Noses for Well-Being: Breath Analysis and Energy Expenditure.

Authors:  Julian W Gardner; Timothy A Vincent
Journal:  Sensors (Basel)       Date:  2016-06-23       Impact factor: 3.576

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