TABLE 6.
Characteristics of included modeling studies undertaken between January 2009 and November 2019 (n = 3)
| Author, year, and design | Country | Intervention | Outcome measure | Summary result |
|---|---|---|---|---|
|
Aminde et al 28 Modeling study |
Cameroon | Reducing current salt intake levels | Changes in CVD burden in adult Cameroonians | Reducing salt intake by 30% could reduce the probability of premature CVD mortality from 16.7% in 2016 to 13.9% (13.8%–14.2%) in 2030, corresponding to a 16.8% (percentage change) reduction and could gain over 700 000 health‐adjusted life years (HALYs). |
|
Bertram et al 57 Modeling study |
South Africa | Reducing sodium content of bread by 342 mg/100 g, margarine by 61%, soup mix by 69%, and seasoning by 51% | Change in sodium intake, effect on the population distribution of BP, consequent number of CVD deaths, and nonfatal strokes that could be avoided annually | Reducing the sodium content of high‐salt foods would prevent 7400 deaths in SA each year—6400 from reducing the sodium content of bread alone. This includes deaths related to stroke (2900), ischemic heart disease (2500), and hypertensive heart disease (2000). Furthermore, approximately 4300 nonfatal strokes would be prevented |
|
Watkins et al 58 Cost‐effectiveness analysis |
South Africa | South Africa's salt reduction policy implementation |
(a) Defining the population at risk of CVD due to high salt intake using current levels of salt consumption and blood pressure, then estimating (b) the impact of the salt reduction policy on population blood pressure levels, (c) the subsequent change in incidence and mortality from CVD, (d) the reduction in expenditures on CVD attributable to lower incidence, (e) the financial risk protection (FRP) provided by the policy, and (f) the distributional impact of the policy by income quintile. |
|