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Daily physical activity assessment with accelerometers: new insights and validation studies

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TLDR
There was a large variability in accelerometer output and their validity to assess daily physical activity and there is little evidence that adding other physiological measures such as heart rate significantly improves the estimation of energy expenditure.
Abstract
The field of application of accelerometry is diverse and ever expanding. Because by definition all physical activities lead to energy expenditure, the doubly labelled water (DLW) method as gold standard to assess total energy expenditure over longer periods of time is the method of choice to validate accelerometers in their ability to assess daily physical activities. The aim of this paper was to provide a systematic overview of all recent (2007-2011) accelerometer validation studies using DLW as the reference. The PubMed Central database was searched using the following keywords: doubly or double labelled or labeled water in combination with accelerometer, accelerometry, motion sensor, or activity monitor. Limits were set to include articles from 2007 to 2011, as earlier publications were covered in a previous review. In total, 38 articles were identified, of which 25 were selected to contain sufficient new data. Eighteen different accelerometers were validated. There was a large variability in accelerometer output and their validity to assess daily physical activity. Activity type recognition has great potential to improve the assessment of physical activity-related health outcomes. So far, there is little evidence that adding other physiological measures such as heart rate significantly improves the estimation of energy expenditure.

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Citations
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Journal ArticleDOI

Evolution of accelerometer methods for physical activity research

TL;DR: A collaborative approach towards analytic methods is proposed to facilitate PA research, which requires a shift away from multiple independent calibration studies and makes the case for a distinction between PA represented by accelerometer-based devices and PA assessed by self-report.
Journal ArticleDOI

Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges

TL;DR: This survey discusses clear motivations and advantages of multi-sensor data fusion and particularly focuses on physical activity recognition, aiming at providing a systematic categorization and common comparison framework of the literature, by identifying distinctive properties and parameters affecting data fusion design choices at different levels.
Journal ArticleDOI

Age group comparability of raw accelerometer output from wrist- and hip-worn monitors.

TL;DR: Accelerometer outputs from AG and GA seem comparable when attached to the same body location in adults, whereas inconsistent differences are apparent between the two brands and placements in children, hence limiting the comparability between brands in this age group.
Journal ArticleDOI

Accelerometer-based measures in physical activity surveillance: current practices and issues

TL;DR: It appears that accelerometers still have limitations regarding generalisability, validity, comprehensiveness, simplicity, affordability, adaptability, between-study comparability and sustainability, and the widespread adoption of accelerometers specifically for large-scale PA surveillance systems may be premature.
References
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Journal ArticleDOI

Description and validation of the ActiReg: a novel instrument to measure physical activity and energy expenditure.

TL;DR: The comparative ease of data collection and calculation should make ActiReg a useful instrument to measure habitual PA level and EE and based on literature values for the energy costs of different activities and therefore require no calibration experiments.
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Validation of Cross-Sectional Time Series and Multivariate Adaptive Regression Splines Models for the Prediction of Energy Expenditure in Children and Adolescents Using Doubly Labeled Water

TL;DR: Validation of CSTS and MARS models based on participant characteristics, HR monitoring, and accelerometry for the prediction of minute-by-minute EE, and hence 24-h TEE, against the DLW method indicated no systematic bias and acceptable limits of agreement for pediatric groups and individuals under free-living conditions.
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Physical activity in aging: Comparison among young, aged, and nonagenarian individuals

TL;DR: PA was markedly lower in nonagenarians compared with young and aged adults and was similar between young volunteers and those who were in their 60s and 70s, likely due to the sedentary nature of the authors' society, particularly in young adults.
Journal ArticleDOI

Validation of actigraph accelerometer estimates of total energy expenditure in young children

TL;DR: Simple approaches using the Actigraph appear to be inadequate for the estimation of free-living TEE in young children at present.
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