Original researchValidity of the ActiGraph GT3X+ and BodyMedia SenseWear Armband to estimate energy expenditure during physical activity and sport
Introduction
Accelerometers are a useful tool in physical activity monitoring, overcoming issues associated with some older, subjective methods.1, 2 They have become more affordable, accessible and accurate in recent years,3 and consequently are now one of the most commonly used methods to objectively measure physical activity.3, 4 More recently, accelerometers have also been used in research to estimate energy expenditure (EE).5 Specifically, using predetermined algorithms based on representative sample populations and activities, accelerometers have been used to estimate total EE in laboratory settings and free-living conditions.6 As a result of the increase in usage there is ongoing research into the validity of these devices.
The accurate assessment of EE is important as it provides one half of the energy balance equation and therefore has implications for energy intake, energy output, or both depending on an individual’s circumstances (e.g., to gain, maintain, or lose body weight and/or to meet energy demands).7 As such, monitoring and manipulating physical activity and nutrition to achieve the desired energy balance is evident in advice given to diverse groups that range from athlete populations, who can experience seasonal changes in EE and often negative energy availability,8 to those overweight or obese.9, 10 In these circumstances, prescribing and quantifying physical training or activity should therefore extend beyond measures of volume and intensity to include the associated EE, which reflects the product of the two. Wearable sensors have the potential to provide this information.
Two commonly used accelerometers in research are the ActiGraph GT3X+ and the BodyMedia SenseWear Armband (SWA).11 Despite evaluation for the use of these accelerometers to estimate EE during low to moderate intensity activities such as continuous walking and jogging,12, 13, 14 or during a combination of sedentary activity, aerobic and resistance exercise,11 their validity in higher intensity activities and in variable and intermittent movement patterns is relatively unknown. Of the little research undertaken in sporting contexts, only one study examined the validity of the GT3X+15 and two investigated the SWA,16, 17 with all three studies showing substantial underestimations of EE during sport related movements.
Locomotor activities in many field and court sports range from walking through to sprinting, and include acceleration, deceleration and change of direction.18 These movements are also characteristic of those observed in free-play and unstructured games. Importantly such activities are well suited to meeting international guidelines that focus on time spent in moderate to vigorous activity.19 As sport is a major component of physical activity, and given recent evidence that suggests that the validity of accelerometers to estimate EE is compromised at higher exercise intensities, there is the need to further investigate in this context. Therefore, the aim of this study was to assess the validity of the ActiGraph GT3X+ and the BodyMedia SWA to estimate EE in physical activity and sport related movements, including high-intensity and intermittent movement patterns.
Section snippets
Methods
Twenty-six active participants (14 male and 12 female, age: 21.3 ± 2.4 years, height: 173.6 ± 9.7 cm, mass: 68.0 ± 10.1 kg, body mass index = 23.2 ± 2.0) currently engaged in various field team sports volunteered for this study. Participant inclusion was based on age (18–35 years), regular involvement (at least once per week) in a field or court team sport and physically capable of completing the 90 min exercise session. Participant estimates of weekly moderate to vigorous physical activity ranged from 80 to
Results
Mean minute-by-minute EE data for the 90 min session is presented in Fig. 1A. Following subtraction of baseline resting EE, Fig. 1B displays the energy cost of exercise above resting levels. Energy expenditure can be seen to plateau towards zero kJ during recovery intervals, indicating a return to near baseline levels. Total 90 min EE was significantly underestimated (p < 0.05) by 374.5 kJ (% difference = −29.3%, d = 1.64) and 244.3 kJ (−18.2%, d = 1.17) for the GT3X+ and SWA, representing large and
Discussion
The current study investigated the validity of the GT3X+ and SWA to estimate EE in the field during continuous locomotion and intermittent variable intensity field sport movements using team sport participants. Total EE over a 90 min session that comprised 30 min of exercise was underestimated by −29.3% and −18.2% by the GT3X+ and SWA, respectively. Energy expenditure estimated by both accelerometers during the individual exercise intervals of walking and jogging was found to be overestimated,
Conclusion
The results of this study suggest that the ActiGraph GT3X+ and BodyMedia SWA do not provide valid EE estimates across a range of exercise modalities and intensities when compared to a criterion measure of indirect calorimetry. As movement becomes more intense and complex, such as that of team sports, the validity of both accelerometer devices declines and is evidenced by large to very large underestimations of EE during the intermittent circuits. Reasons for the poor accuracy may be an
Practical implications
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The GT3X+ and SWA should be used with caution when attempting to estimate EE, and are particularly poor during intermittent, variable intensity team sport movements.
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Criterion methods of EE used during high intensity and/or intermittent, non-steady state exercise should account for energy consumption during both exercise and recovery.
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Further research and development of the hardware, cohort and activity specific algorithms, and the integration of sensors may improve the validity of wearable
Acknowledgements
The authors would like to thank the participants for their participation and support of this project. No external financial support was provided for this study.
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