Researchwearablesvo2maxmlmeta analysis
Wearable Data Predicts Cardiorespiratory Fitness Accurately
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7.1
A systematic review and meta-analysis (search through July 27, 2024) evaluated models estimating cardiorespiratory fitness (CRF) from continuous free-living wearable data, including 18 studies and 31,072 participants. The pooled correlation between predicted and measured CRF was 0.83 (95% CI 0.77–0.88), but heterogeneity was high (I2=97%) and most studies lacked external validation, limiting immediate clinical adoption.
Scoring Rationale
Solid pooled evidence and clinical relevance, tempered by very high heterogeneity and lack of external validation.
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