Table 1.
Demographic characteristics of the sample.
Table 2.
Correlation matrix between abdominal inspiratory expansion and clinical and respiratory variables at baseline (N = 50). Pearson’s correlation coefficients (r) are shown. Statistically significant correlations (p < 0.05) are highlighted in bold.
Table 3.
Correlation matrix between abdominal inspiratory expansion and clinical and respiratory variables at baseline (N = 50). Pearson’s correlation coefficients (r) are shown. Statistically significant correlations (p < 0.05) are highlighted in bold.
Table 4.
Correlation matrix between abdominal inspiratory expansion and clinical and respiratory variables at baseline (N = 50). Pearson’s correlation coefficients (r) are shown. Statistically significant correlations (p < 0.05) are highlighted in bold.
Table 5.
Correlation matrix between abdominal inspiratory expansion and clinical and respiratory variables at baseline (N = 50). Pearson’s correlation coefficients (r) are shown. Statistically significant correlations (p < 0.05) are highlighted in bold.
Table 6.
Correlation matrix between abdominal inspiratory expansion and clinical and respiratory variables at baseline (N = 50). Pearson’s correlation coefficients (r) are shown. Statistically significant correlations (p < 0.05) are highlighted in bold.
Table 7.
Multiple linear regression model predicting abdominal inspiratory expansion. Dependent variable: abdominal inspiratory expansion (cm). Values represent unstandardized coefficients (B), standard errors (SE), standardized coefficients (β), 95% confidence intervals (CI), t values and p values.
Fig 1.
Histogram of standardized residuals from the multiple linear regression model.
Fig 2.
Normal P–P plot of standardized residuals for the multiple regression model.