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Table 2 Model fit diagnostics for numerous linear models estimating values for the four CPET measures of activity

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)