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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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The Validity of the Energy Expenditure Criteria Based on Open Source Code through two Inertial Sensors

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TL;DR: In this paper, the state of the science, and the opportunities and challenges in existing and emerging technologies, from the perspectives of three key stakeholders: researchers, users, and developers are discussed in terms of opportunities and further steps in the direction of personalized health.
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Measuring change in adolescent physical activity: Responsiveness of a single item

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References
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Journal Article

Physical activity, exercise, and physical fitness: definitions and distinctions for health-related research.

TL;DR: These definitions are offered as an interpretational framework for comparing studies that relate physical activity, exercise, and physical fitness to health.
Journal ArticleDOI

Too Much Sitting: The Population Health Science of Sedentary Behavior

TL;DR: Sitting time, TV time, and time sitting in automobiles increase premature mortality risk, and breaking up sedentary time is beneficial.
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Sedentary time and cardio-metabolic biomarkers in US adults: NHANES 2003–06

TL;DR: These are the first population-representative findings on the deleterious associations of prolonged sedentary time with cardio-metabolic and inflammatory biomarkers and suggest that clinical communications and preventive health messages on reducing and breaking up sedentaryTime may be beneficial for cardiovascular disease risk.
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Objectively Measured Sedentary Time, Physical Activity, and Metabolic Risk: The Australian Diabetes, Obesity and Lifestyle Study (AusDiab)

TL;DR: In this article, the authors examined the associations of objectively measured sedentary time and physical activity with continuous indexes of metabolic risk in Australian adults without known diabetes, and highlighted the importance of decreasing the amount of time spent in physical activity for metabolic health.
Journal ArticleDOI

A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity

TL;DR: Preliminary evaluation of the system in 13 male subjects during standardized activities in the laboratory demonstrated a significant relationship between accelerometer output and energy expenditure due to physical activity, the standard reference for physical activity.
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