Table 3.
Correlation between number of vape advertisements within 800 m of a secondary school and proportion of students per school residing in the most deprived quintile of the CIMD dimensions (N = 18), rΤ (p value)
| Residential instability | Economic dependency | Ethno-cultural composition | Situational vulnerability | ||
|---|---|---|---|---|---|
| Unadjusted | |||||
| Pre-ban | Count (unweighted) | 0.51 (< 0.01) | 0.03 (0.88) | − 0.11 (0.54) | 0.36 (0.04) |
| Count (weighted) | 0.52 (< 0.01) | 0.04 (0.82) | − 0.11 (0.54) | 0.36 (0.04) | |
| Density | 0.51 (< 0.01) | 0.01 (0.94) | − 0.13 (0.45) | 0.36 (0.04) | |
| Post-ban | Count (unweighted) | 0.27 (0.15) | − 0.02 (0.90) | − 0.30 (0.11) | 0.19 (0.31) |
| Count (weighted) | 0.24 (0.19) | − 0.06 (0.75) | − 0.30 (0.10) | 0.17 (0.37) | |
| Density | 0.26 (0.15) | − 0.05 (0.78) | − 0.32 (0.08) | 0.17 (0.35) | |
| Difference (counts pre- to post-ban) | 0.52 (< 0.01) | 0.01 (0.94) | − 0.09 (0.59) | 0.39 (0.03) | |
| Adjusted* | |||||
| Pre-ban | Count (unweighted) | 0.42 (0.02) | − 0.13 (0.48) | − 0.07 (0.68) | 0.31 (0.09) |
| Count (weighted) | 0.41 (0.02) | − 0.11 (0.54) | − 0.07 (0.68) | 0.30 (0.09) | |
| Density | 0.41 (0.02) | − 0.14 (0.42) | − 0.11 (0.55) | 0.30 (0.09) | |
| Post-ban | Count (unweighted) | 0.12 (0.49) | − 0.14 (0.42) | − 0.30 (0.10) | 0.11 (0.53) |
| Count (weighted) | 0.11 (0.52) | − 0.17 (0.33) | − 0.30 (0.10) | 0.09 (0.62) | |
| Density | 0.13 (0.48) | − 0.17 (0.33) | − 0.32 (0.07) | 0.09 (0.60) | |
| Difference (counts pre- to post-ban) | 0.42 (0.02) | − 0.14 (0.45) | − 0.06 (0.74) | 0.34 (0.06) | |
Italicized values indicate p < 0.05. Correlations analyses were only done for the 800-m measure because of the large number of 0 counts for schools at 400 m
*Adjusted for commercial land area using partial correlation