Table 2. Factor analysis showing rotated component matrixa.
| Factors | |||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| TLC%p | 0.27 | 0.93 | 0.17 | −0.10 | −0.10 |
| FRC%p | −0.20 | 0.94 | 0.11 | −0.13 | −0.08 |
| FRC/TLC | −0.68 | 0.65 | 0.10 | −0.21 | −0.07 |
| RV%p | −0.07 | 0.89 | −0.32 | −0.13 | −0.16 |
| RV/TLC | −0.39 | 0.53 | −0.67 | −0.16 | −0.14 |
| IC%p | 0.96 | .011 | 0.08 | 0.09 | −0.03 |
| IC/TLC | 0.67 | −0.66 | −0.10 | 0.21 | 0.04 |
| IRV%p | 0.94 | 0.07 | 0.10 | 0.01 | −0.03 |
| IRV/TLC | 0.86 | −0.19 | 0.03 | −0.01 | 0.13 |
| ERV%p | −0.18 | 0.22 | 0.91 | −0.04 | 0.14 |
| ERV/TLC | −0.24 | 0.02 | 0.91 | −0.03 | 0.09 |
| DLCO%p | 0.07 | −0.25 | 0.19 | 0.18 | 0.92 |
| FVC%p | 0.48 | −0.09 | 0.76 | 0.12 | −0.04 |
| FEV1%p | 0.37 | −0.26 | 0.54 | 0.65 | 0.06 |
| FEV1/FVC | −0.00 | −0.22 | −0.04 | 0.94 | 0.15 |
| SVC%p | 0.57 | 0.06 | 0.77 | 0.08 | 0.04 |
Notes.
For all abbreviations, please refer to Table 1. Extraction method: Principal component analysis. Rotation method: Varimax with Kaiser normalization.
Rotation converged in 5 iterations.
Bolded number indicating the important variables (arbitrarily defined as value >0.85) in that factor, Italic number indicating the variables with moderate importance (arbitrarily defined as value > 0.50) in that factor.