From: Can wearable technology be used to approximate cardiopulmonary exercise testing metrics?
CPET variable | Predictor | Sample size | Number of parameters | AIC | R2 | R2 adjusted | % correct | Pearson correlation (95% CI) |
---|---|---|---|---|---|---|---|---|
Peak VO2 | Wearable | 34 | 11 | 181.62 | 0.74 | 0.62 | 91.18 | 0.86 (0.74, 0.93) |
IPAQ | 27 | 4 | 163.98 | 0.29 | 0.16 | 77.78 | 0.54 (0.20, 0.76) | |
Both | 27 | 12 | 150.89 | 0.76 | 0.55 | 88.89 | 0.87 (0.73, 0.94) | |
VE/VCO2 | Wearable | 34 | 11 | 219.98 | 0.26 | − 0.11 | 79.41 | 0.51 (0.20, 0.72) |
IPAQ | 27 | 4 | 172.54 | 0.19 | 0.05 | 85.19 | 0.44 (0.07, 0.70) | |
Both | 27 | 12 | 179.75 | 0.41 | − 0.08 | 85.19 | 0.65 (0.35, 0.82) | |
Anaerobic threshold | Wearable | 30 | 11 | 129.78 | 0.72 | 0.56 | 70 | 0.85 (0.71, 0.93) |
IPAQ | 23 | 4 | 106.71 | 0.41 | 0.27 | 65.22 | 0.64 (0.30, 0.83) | |
Both | 23 | 12 | 89.91 | 0.86 | 0.69 | 78.29 | 0.93 (0.83, 0.97) | |
Peak work | Wearable | 34 | 11 | 328.30 | 0.73 | 0.59 | 100 | 0.85 (0.72, 0.92) |
IPAQ | 27 | 4 | 271.35 | 0.44 | 0.34 | 85.19 | 0.66 (0.38, 0.83) | |
Both | 27 | 12 | 257.24 | 0.82 | 0.66 | 81.48 | 0.90 (0.80, 0.96) |