The potential health impact and healthcare cost savings of different sodium reduction strategies in Canada
Bibliographic record
Abstract
Abstract Background High dietary sodium is the main dietary risk factor for non-communicable diseases due to its impact on cardiovascular diseases, the leading cause of death globally. The Government of Canada has taken measures to reduce average dietary sodium intakes, such as setting voluntary sodium reduction targets for packaged foods and recently approving regulations mandating ‘high in’ front-of-pack labeling (FOPL) symbols. Objectives To estimate the number of avoidable ischemic heart disease (IHD) and stroke incidence cases, and their associated healthcare cost and Quality-Adjusted Life Year (QALY) savings resulting from different sodium reduction strategies and recommendations in Canada. Methods We used the PRIMEtime model, a proportional multi-state lifetable model. Outcomes were modeled over the lifetime of the population alive in 2019, at a 1.5% discount rate, and from the public healthcare system perspective. Nationally representative data were used as inputs for the model. Results Fully meeting Health Canada’s sodium reduction targets was estimated to prevent 219,490 (95% UI, 73,409–408,630) cases of IHD, and 164,435 (95% UI, 56,121–305,770) strokes. This led to a gain of 276,185 (95% UI, 85,414–552,616) QALYs, and healthcare costs savings of CAD$ 4,212(95% UI, 1,303–8,206) million over the lifetime of the 2019 cohort. Sodium reduction intake through FOPL regulations has the potential to prevent between 35,930 (95% UI, 8,058– 80,528) and 124,744 (95% UI, 40,125–235,643) cases of IHD, and between 26,869 (95% UI, 5,235–61,621) and 93,129 (95% UI, 30,296–176,014) strokes. This results in QALY gains ranging from 45,492 (95% UI, 10,281–106,579) to 157,628 (95% UI, 46,701–320,622), and healthcare costs savings ranging from CAD$ 695 (95% UI, 160–1,580) to CAD$ 2,415 (95% UI, 722–4,746) million over the lifetime of the 2019 Canadian cohort. Greater health and healthcare costs gains were estimated if Canadians were to meet the population-level sodium intake recommendations of the World Health Organization (2,000 mg/day) and the Adequate Intake recommendation (1,500 mg/day). All sodium reduction strategies tested were cost saving. Conclusions Reducing population-level sodium intakes is feasible and has the potential to improve health outcomes and save healthcare costs in Canada. From interventions tested, most health and healthcare costs gains were attributed to fully meeting sodium reduction targets, which highlights the importance of changing the voluntary nature of these targets to mandatory. A combination of strategies, mandatory sodium reduction targets and implementation of the ‘high in’ FOPL symbol would provide the most benefit from a public health standpoint.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".