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. 2021 Aug 26;18(17):8967. doi: 10.3390/ijerph18178967

Table 5.

Summary of stepwise linear regression models for predicting spirometry adherence (days with performed spirometry) with the clinical, anthropometric, and spirometry data.

Model 1 Age, BMI, AS, VS, BS, FEV1%pv
AIC: 101.00
Variables: Coefficient (95%CI) p-value
Intercept 14.69 (−15.64–45.03) 0.3628
BMI −0.73 (−1.71–0.26) 0.1744
FEV1%pv 0.234 (0.039–0.430) 0.0387
Model 2: age, BMI, AS, VS, BS, FVC%pv
AIC: 102.19
Variables Coefficient (95%CI) p-value
Intercept 24.71 (−2.81–52.22) 0.1062
BMI −1.45 (−2.17–−0.13) 0.0494
FVC%pv 0.2226 (0.0090–0.4362) 0.0659

BMI, body mass index; AS, ambulatory status: non-ambulatory = 0, ambulatory = 1; BS, Brooke scale; VS, Vignos scale; BS, VS are described in Section 2.5; FVC, forced vital capacity; FEV1, forced expiratory volume in 1 s.