Literature DB >> 27270210

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

John B Correa1, John W Apolzan1, Desti N Shepard1, Daniel P Heil2, Jennifer C Rood1, Corby K Martin1.   

Abstract

Activity monitors such as the Actical accelerometer, the Sensewear armband, and the Intelligent Device for Energy Expenditure and Activity (IDEEA) are commonly validated against gold standards (e.g., doubly labeled water, or DLW) to determine whether they accurately measure total daily energy expenditure (TEE) or activity energy expenditure (AEE). However, little research has assessed whether these parameters or others (e.g., posture allocation) predict body weight change over time. The aims of this study were to (i) test whether estimated energy expenditure or posture allocation from the devices was associated with weight change during and following a low-calorie diet (LCD) and (ii) compare free-living TEE and AEE predictions from the devices against DLW before weight change. Eighty-seven participants from 2 clinical trials wore 2 of the 3 devices simultaneously for 1 week of a 2-week DLW period. Participants then completed an 8-week LCD and were weighed at the start and end of the LCD and 6 and 12 months after the LCD. More time spent walking at baseline, measured by the IDEEA, significantly predicted greater weight loss during the 8-week LCD. Measures of posture allocation demonstrated medium effect sizes in their relationships with weight change. Bland-Altman analyses indicated that the Sensewear and the IDEEA accurately estimated TEE, and the IDEEA accurately measured AEE. The results suggest that the ability of energy expenditure and posture allocation to predict weight change is limited, and the accuracy of TEE and AEE measurements varies across activity monitoring devices, with multi-sensor monitors demonstrating stronger validity.

Entities:  

Keywords:  Actical; IDEEA; Sensewear; accelerometry; accélérométrie; activity energy expenditure; assignation postural; doubly labeled water; dépense énergétique durant une activité; dépense énergétique totale; eau doublement marquée; posture allocation; total energy expenditure

Mesh:

Year:  2016        PMID: 27270210      PMCID: PMC4936932          DOI: 10.1139/apnm-2015-0461

Source DB:  PubMed          Journal:  Appl Physiol Nutr Metab        ISSN: 1715-5312            Impact factor:   2.665


  53 in total

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2.  Physical activity and weight gain prevention.

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3.  Evaluation of a portable device to measure daily energy expenditure in free-living adults.

Authors:  Maxime St-Onge; Diane Mignault; David B Allison; Rémi Rabasa-Lhoret
Journal:  Am J Clin Nutr       Date:  2007-03       Impact factor: 7.045

4.  Influence of activity monitor location and bout duration on free-living physical activity.

Authors:  Daniel P Heil; Gary G Bennett; Kathleen S Bond; Michael D Webster; Kathleen Y Wolin
Journal:  Res Q Exerc Sport       Date:  2009-09       Impact factor: 2.500

5.  Commentary: Luke and Cooper are wrong: physical activity has a crucial role in weight management and determinants of obesity.

Authors:  Steven N Blair; Edward Archer; Gregory A Hand
Journal:  Int J Epidemiol       Date:  2013-12       Impact factor: 7.196

6.  Predicting activity energy expenditure using the Actical activity monitor.

Authors:  Daniel P Heil
Journal:  Res Q Exerc Sport       Date:  2006-03       Impact factor: 2.500

7.  Long-term weight-loss maintenance: a meta-analysis of US studies.

Authors:  J W Anderson; E C Konz; R C Frederich; C L Wood
Journal:  Am J Clin Nutr       Date:  2001-11       Impact factor: 7.045

8.  Lower energy expenditure predicts long-term increases in weight and fat mass.

Authors:  Paolo Piaggi; Marie S Thearle; Clifton Bogardus; Jonathan Krakoff
Journal:  J Clin Endocrinol Metab       Date:  2013-02-15       Impact factor: 5.958

9.  Comparative validity of physical activity measures in older adults.

Authors:  Lisa H Colbert; Charles E Matthews; Thomas C Havighurst; Kyungmann Kim; Dale A Schoeller
Journal:  Med Sci Sports Exerc       Date:  2011-05       Impact factor: 5.411

10.  Physical activity patterns in the National Weight Control Registry.

Authors:  Victoria A Catenacci; Lorraine G Ogden; Jennifer Stuht; Suzanne Phelan; Rena R Wing; James O Hill; Holly R Wyatt
Journal:  Obesity (Silver Spring)       Date:  2008-01       Impact factor: 5.002

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  4 in total

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Journal:  Adv Nutr       Date:  2022-02-01       Impact factor: 11.567

Review 2.  Validity of Accelerometers for the Evaluation of Energy Expenditure in Obese and Overweight Individuals: A Systematic Review.

Authors:  Silvia Pisanu; Andrea Deledda; Andrea Loviselli; Inge Huybrechts; Fernanda Velluzzi
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Review 3.  Assessment of Physical Activity in Adults Using Wrist Accelerometers.

Authors:  Fangyu Liu; Amal A Wanigatunga; Jennifer A Schrack
Journal:  Epidemiol Rev       Date:  2022-01-14       Impact factor: 4.280

Review 4.  Quality Evaluation of Free-living Validation Studies for the Assessment of 24-Hour Physical Behavior in Adults via Wearables: Systematic Review.

Authors:  Marco Giurgiu; Irina Timm; Marlissa Becker; Steffen Schmidt; Kathrin Wunsch; Rebecca Nissen; Denis Davidovski; Johannes B J Bussmann; Claudio R Nigg; Markus Reichert; Ulrich W Ebner-Priemer; Alexander Woll; Birte von Haaren-Mack
Journal:  JMIR Mhealth Uhealth       Date:  2022-06-09       Impact factor: 4.947

  4 in total

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