Table 2.
Odds of strong competitive beverage laws by level of state disfavoured soda sales tax
| Unadjusted model | Adjusted model* | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| OR | se | P value | 95 % CI | OR | se | P value | 95 % CI | |||||||
| All grades | ||||||||||||||
| Disfavoured soda sales tax (0–7·5 %) | 1·52 | 0·17 | <0·0001 | 1·22, 1·90 | 1·53 | 0·18 | <0·0001 | 1·22, 1·92 | ||||||
| Disfavoured soda sales tax tertiles | ||||||||||||||
| 0 % | Referent | Referent | ||||||||||||
| >0–5 % | 1·44 | 0·46 | 0·252 | 0·77, 2·70 | 1·69 | 0·56 | 0·111 | 0·89, 3·22 | ||||||
| >5 % | 2·33 | 0·53 | <0·0001 | 1·49, 3·64 | 2·32 | 0·54 | <0·0001 | 1·47, 3·65 | ||||||
| Elementary school level | ||||||||||||||
| Disfavoured soda sales tax (0–7·5 %) | 1·40 | 0·16 | 0·003 | 1·12, 1·76 | 1·41 | 0·16 | 0·003 | 1·12, 1·77 | ||||||
| Disfavoured soda tax tertiles | ||||||||||||||
| 0 % | Referent | Referent | ||||||||||||
| >0–5 % | 1·16 | 0·37 | 0·638 | 0·63, 2·15 | 1·35 | 0·44 | 0·352 | 0·72, 2·56 | ||||||
| >5 % | 2·01 | 0·46 | 0·002 | 1·28, 3·15 | 1·99 | 0·47 | 0·003 | 1·26, 3·15 | ||||||
| Middle school level | ||||||||||||||
| Disfavoured soda sales tax (0–7·5 %) | 1·43 | 0·16 | 0·001 | 1·15, 1·79 | 1·45 | 0·17 | 0·001 | 1·16, 1·81 | ||||||
| Disfavoured soda tax tertiles | ||||||||||||||
| 0 % | Referent | Referent | ||||||||||||
| >0–5 % | 1·35 | 0·43 | 0·339 | 0·73, 2·54 | 1·61 | 0·53 | 0·145 | 0·85, 3·07 | ||||||
| >5 % | 2·07 | 0·47 | 0·001 | 1·33, 3·23 | 2·09 | 0·49 | 0·001 | 1·33, 3·28 | ||||||
| High school level | ||||||||||||||
| Disfavoured soda sales tax (0–7·5 %) | 1·57 | 0·18 | <0·001 | 1·25, 1·98 | 1·58 | 0·19 | <0·001 | 1·26, 1·99 | ||||||
| Disfavoured soda tax tertiles | ||||||||||||||
| 0 % | Referent | Referent | ||||||||||||
| >0–5 % | 1·79 | 0·57 | 0·064 | 0·97, 3·34 | 2·12 | 0·69 | 0·021 | 1·12, 4·03 | ||||||
| >5 % | 2·45 | 0·57 | <0·001 | 1·55, 3·85 | 2·46 | 0·58 | <0·001 | 1·54, 3·91 | ||||||
Significant P values are indicated in bold font.
*OR adjusted for state and year by ordered logistic regression.