Table.
Model | Beta Coefficient (95% CI)* | P † |
---|---|---|
Univariable model | ||
Daily step count | 0.09 (0.05, 0.12) | < 0.001 |
Second model | ||
Daily step count | 0.08 (0.04, 0.13) | 0.001 |
Age | −0.006 (−0.012, −0.001) | 0.028 |
Gender | −0.08 (−0.15, 0.04) | 0.284 |
Final model | ||
Daily step count | 0.07 (0.03,0.13) | 0.003 |
Age | −0.007 (−0.01, −0.001) | 0.024 |
Gender | −0.06 (−0.15, 0.033) | 0.183 |
Highest IOP | −0.014 (−0.02, −0.006) | < 0.001 |
Baseline average macular GCIPL thickness | 0.003 (−0.002, 0.008) | 0.271 |
Systolic blood pressure | −0.001 (−0.004, 0.001) | 0.073 |
Diabetes mellitus | 0.05 (−0.08, 0.18) | 0.448 |
Beta coefficient and 95% CIs represent the estimated effect of a covariate on macular thickness in micrometers. All continuous variables were scaled to internal z-scores centered on the study population mean prior to model fitting. Units for beta coefficients were µm/y/SD change for continuous variables or µm/y difference between outcomes for dichotomous variables.
P values were derived from linear regression analyses. Boldface indicates P < 0.05.