Appendix Table A2.
Multiple logistic regression for the association between the usage of CCTV (0 = not used, 1 = used) and other predictors, including Age, Educational level, and Self-reported acuity (logMAR).
| Predictor | β | SE β | Z | P | Odds ratio (95% Cl) |
|---|---|---|---|---|---|
| (Intercept) | −2.69 | 1.02 | −2.63 | < .01 ** | NA |
| Age | 0.02 | 0.01 | 1.59 | 0.11 | 1.02 (1 – 1.05) |
| Education Level | −0.38 | 0.31 | −1.22 | 0.22 | 0.68 (0.37 – 1.25) |
| - 0 = primary school | |||||
| -1 = High school | |||||
| - 2 = University/College degree | |||||
| - 3 = Advanced Graduate or Professional Degree | |||||
| Self-reported Visual Acuity (logMAR) | 2.45 | 0.69 | 3.58 | <.001 *** | 11.63 (3.24 – 48.49) |