Validity of Estimating the Maximal Oxygen Consumption by Consumer Wearables: A Systematic Review with Meta‑analysis and Expert Statement of the INTERLIVE Network
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Springer
Fecha
2022-01-24Referencia bibliográfica
Molina-Garcia, P... [et al.]. Validity of Estimating the Maximal Oxygen Consumption by Consumer Wearables: A Systematic Review with Meta-analysis and Expert Statement of the INTERLIVE Network. Sports Med (2022). [https://doi.org/10.1007/s40279-021-01639-y]
Patrocinador
Huawei TechnologiesResumen
Background Technological advances have recently made possible the estimation of maximal oxygen consumption (VO2max)
by consumer wearables. However, the validity of such estimations has not been systematically summarized using metaanalytic
methods and there are no standards guiding the validation protocols.
Objective The aim was to (1) quantitatively summarize previous studies investigating the validity of the VO2max estimated
by consumer wearables and (2) provide best-practice recommendations for future validation studies.
Methods First, we conducted a systematic review and meta-analysis of studies validating the estimation of VO2max by
wearables. Second, based on the state of knowledge (derived from the systematic review) combined with the expert discussion
between the members of the Towards Intelligent Health and Well-Being Network of Physical Activity Assessment
(INTERLIVE) consortium, we provided a set of best-practice recommendations for validation protocols.
Results Fourteen validation studies were included in the systematic review and meta-analysis. Meta-analysis results
revealed that wearables using resting condition information in their algorithms significantly overestimated VO2max (bias
2.17 ml·kg−1·min−1; limits of agreement − 13.07 to 17.41 ml·kg−1·min−1), while devices using exercise-based information
in their algorithms showed a lower systematic and random error (bias − 0.09 ml·kg−1·min−1; limits of agreement − 9.92 to
9.74 ml·kg−1·min−1). The INTERLIVE consortium proposed six key domains to be considered for validating wearable devices
estimating VO2max, concerning the following: the target population, reference standard, index measure, testing conditions,
data processing, and statistical analysis.
Conclusions Our meta-analysis suggests that the estimations of VO2max by wearables that use exercise-based algorithms
provide higher accuracy than those based on resting conditions. The exercise-based estimation seems to be optimal for
measuring VO2max at the population level, yet the estimation error at the individual level is large, and, therefore, for sport/
clinical purposes these methods still need improvement. The INTERLIVE network hereby provides best-practice recommendations
to be used in future protocols to move towards a more accurate, transparent and comparable validation of VO2max
derived from wearables.