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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)