Table 2.

Percentage difference in predicted probability of being in soft drink consumption categories for periods before (2004-13) and after (2017-18) implementation of sugar sweetened beverage tax, by income level

Soft drink consumption categories*	Change in percentage points (95% CI) before to after tax
Non-consumer
Low income	4.4 (−2.4 to 11.2)
Middle income	5.7 (0.3 to 11.1)
High income	5.1 (−0.1 to 10.2)
Low consumer
Low income	4.3 (−1.5 to 10.0)
Middle income	9.4 (2.3 to 16.6)
High income	8.8 (1.4 to 16.2)
Medium consumer
Low income	−5.7 (−14.0 to 2.6)
Middle income	−8.1 (−15.3 to−0.8)
High income	−7.2 (−14.3 to−0.1)
High consumer
Low income	−3.0 (−7.1 to 1.1)
Middle income	−7.1 (−12.3 to−1.8)
High income	−6.6 (−12.2 to−1.1)

Predicted values from ordered logistic correlated random effects regression models shown in appendix table A1-3.

^*Non-consumer=no soft drink consumption; low consumer=consumed <1 serving/week; medium consumer=consumed 1 serving/week to <1 serving/day; high consumer=consumed ≥1 serving/day.