Accuracy of the Actiheart for the assessment of energy expenditure in adults

Accuracy of the Actiheart for the assessment of energy expenditure in adults

Background/Objective: The Actiheart (Mini Mitter, Sunriver, OR, USA) uses heart rate (HR) and activity data to predict activity energy expenditure (AEE). Currently, the Actiheart has only been tested during laboratory conditions. Therefore, the objective of this study was to validate the Actiheart p...

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Bibliographic Details
Published in:European journal of clinical nutrition Vol. 62; no. 6; pp. 704 - 711
Main Authors: Crouter, S.E, Churilla, J.R, Bassett, D.R. Jr
Format: Journal Article
Language:English
Published: London Nature Publishing Group UK 01-06-2008
Nature Publishing
Nature Publishing Group
Subjects:
Accuracy
Actiheart
Adult
adults
Aged
Algorithms
Bioenergetics
Biological and medical sciences
Body Mass Index
Calorimetry
Calorimetry, Indirect - standards
Clinical Nutrition
Cosmed K4b2
Cross-Over Studies
Energy expenditure
Energy metabolism
Energy Metabolism - physiology
Epidemiology
Exercise
Exercise - physiology
Feeding. Feeding behavior
Female
Fundamental and applied biological sciences. Psychology
Heart beat
Heart rate
Heart Rate - physiology
human nutrition
Humans
Internal Medicine
Leisure Activities
Male
Measurement
Measurement techniques
Medical sciences
Medicine
Medicine & Public Health
Metabolic Diseases
Metabolism
Methods
Middle Aged
Monitoring, Ambulatory - instrumentation
Monitoring, Ambulatory - methods
Nutrition
nutrition assessment
original-article
Oxygen Consumption
physical activity
Physiological aspects
Predictive Value of Tests
Public Health
Sensitivity and Specificity
validity
Vertebrates: anatomy and physiology, studies on body, several organs or systems
United States
motion sensor
heart rate
oxygen consumption
physical activity
Human
Physical exercise
Heart rate
Motion
Accuracy
Energetic cost
Adult
Oxygen consumption
Metabolic diseases
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Summary:Background/Objective: The Actiheart (Mini Mitter, Sunriver, OR, USA) uses heart rate (HR) and activity data to predict activity energy expenditure (AEE). Currently, the Actiheart has only been tested during laboratory conditions. Therefore, the objective of this study was to validate the Actiheart prediction method against indirect calorimetry during a wide range of activities in a field setting. Subjects/Methods: Forty-eight participants (age: 3511.4 years) were recruited for the study. Eighteen activities were split into three routines of six activities and each routine was performed by 20 participants. During each routine, the participants wore an Actiheart and simultaneously, AEE was measured with a Cosmed K4b2 portable metabolic system. The manufacturer's HR algorithm, activity algorithm, and combined activity and HR algorithm were used to estimate AEE. Results: The mean error (and 95% prediction intervals) for the combined activity and HR algorithm, HR algorithm, and activity algorithm versus the Cosmed K4b2 were 0.02 kJ kg- 1 min- 1 (- 0.17, 0.22 kJ kg- 1 min- 1), - 0.03 kJ kg- 1 min- 1 (- 0.24, 0.18 kJ kg- 1 min- 1), and 0.14 kJ kg- 1 min- 1 (- 0.12, 0.40 kJ kg- 1 min- 1), respectively. Conclusion: The Actiheart combined activity and HR algorithm and HR algorithm provide similar estimates of AEE on both a group and individual basis.
Bibliography:http://dx.doi.org/10.1038/sj.ejcn.1602766
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0954-3007
1476-5640
DOI:10.1038/sj.ejcn.1602766