Absolute number of baseline and avoided events in Scenario 1 and 2 from 2013–2023.

*<p>Scenario 1 estimated the impact that the current initiative could have by reducing 8% of sodium consumption, 4% in the first two years (the timeframe that was agreed with the food industries) and then continued the projection without further interventions until 2022.</p>‡<p>Scenario 2 estimated the impact this initiative could have if maintained for the 10 years, progressively reducing sodium consumption by 40%, 4% each year until 2022.</p

Data sources for CVD policy model-Argentina.

*<p>International Classification of Diseases, 10th revision (ICD-10) codes: 10 I21, I22 Myocardial Infarction;, ICD-10 I20, I23–I25 angina and other CHD; I472, I490, I46, I50, I514, I515, I519, I709 of poorly defined cardiovascular disease events and death.;</p>**<p>ICD-10 Codes I60–I69 for stroke deaths.</p

Mean sodium consumption by age groups and sex and mean reduction of systolic blood pressure reducing 8% the sodium consumption (Scenario 1) and 40% the sodium consumption (Scenario 2).

<p>SBP: Systolic blood pressure.</p><p>HTN: Hypertensive patients.</p>*<p>: Less than 65 years.</p>**<p>: 65 years and above.</p><p>n/a: Not applicable.</p

Framework for the impact of an SSB tax on health outcomes.

<p>Framework for the impact of an SSB tax on health outcomes.</p

Projected incident diabetes decrease at different levels of SSB consumption reduction with variation of BMI effects.

<p>Projected incident diabetes decrease at different levels of SSB consumption reduction with variation of BMI effects.</p

Projected decrease in annual incident diabetes at 10% SSB consumption reduction in subgroups of California.

<p>Projected decrease in annual incident diabetes at 10% SSB consumption reduction in subgroups of California.</p

Absolute number of coronary heart disease events and deaths prevented from a 10–20% SSB consumption reduction with moderate BMI effects from 2013–2022 in California (Percent change).

*<p>Assumes 39% caloric compensation that will result from replacing 1/3 of the reduced SSB consumption with water, 1/3 with diet drinks, and the remaining 1/3 with other caloric beverages such as milk and juice.</p>**<p>Includes new and recurrent myocardial infarctions.</p

Projected healthcare savings from 2013–2022 after a 10–50% SSB consumption reduction with a moderate BMI effect, in 2012 US dollars – in millions (Percent change).

*<p>Assumes 39% caloric compensation that will result from replacing 1/3 of the reduced SSB consumption with water, 1/3 with diet drinks, and the remaining 1/3 with other caloric beverages such as milk and juice.</p>**<p>Diabetes cost is adjusted to only reflect diabetes direct healthcare costs.</p>***<p>Diabetes related CHD cost represents excess CHD that could be avoided as a result of the avoided diabetes cases from reduced SSB consumption.</p>†<p>Reflects total CHD treatment cost.</p

Model assumptions.

<p> Sugar-sweetened beverages.</p><p> Hazard ratio.</p><p>β coefficients.</p

Main assumptions for the effect of salt intervention and CVD treatment costs, the CVD Policy Model-China.

<p>Main assumptions for the effect of salt intervention and CVD treatment costs, the CVD Policy Model-China.</p