Table 2.
Correlations between SCORE and healthcare spending and health outcomes.
| SCORE | Health (spending) indicator | Correlation (90%-confidence interval) |
|---|---|---|
| Total | Change in healthcare spending 2014–2022 (or latest) in PPS per inhabitant | −0.51 (0.32, 0.98) |
| Tobacco | Change in the share of behavioural risk related YLDs, 2011–2021 | −0.28 (−0.58, 0.03) |
| Alcohol | Change in the proportion of total YLDs attributable to alcohol, 2011–2021 | −0.63 (−0.81, −0.35) |
| Alcohol | 10-year difference in heavy episodic monthly drinking, 2011–2021 | −0.52 (−0.74, −0.2) |
| Sugar | Change in the share of SSB-related deaths from non-communicable diseases among women, 2011–2021 | −0.35 (−0.63, 0.01) |
| Sugar | Change in the share of SSB-related DALYs among men, 2011–2021 | −0.32 (−0.61, 0.04) |
This table shows bivariate (Pearson) correlations between SCORE (overall and/or domain-specific) and selected health indicators. Correlations are computed across countries; each row reports the correlation for the outcome listed in column (2). Higher SCORE indicates greater within-category regulatory differentiation (risk-proportionate design), not overall policy stringency.