Health and Sustainable Development Challenges of the 21st Century: A Comparative Analysis of Salt Reduction Strategies
Bibliographic record
Abstract
The epidemic rise in cardiovascular diseases, the primary cause of global mortality, is a major impediment to human sustainable development as it leads to heavy expenditure on chronic treatment and loss in income and productivity due to increased morbidity and mortality. Raised blood pressure is one of the more potent risk factors for cardiovascular diseases. High dietary salt consumption triggers an increase in blood pressure and also adversely affects other vital organs, such as the kidneys. The global mean per capita salt intake is almost twice the recommended amount of 5 g/day. Member States of the World Health Organization have thus set a global target of 30% reduction in salt intake by 2025 to address the current health and development challenges, especially those posed to low and middle income countries. This paper compares certain aspects of the policies (and the implementation of those policies) that are aimed at the reduction of salt intake in South Africa and India with those in Canada and the United Kingdom. As developing countries, South Africa and India already face lower levels of development and greater health challenges due to the double burden of communicable and noncommunicable diseases. This is further exacerbated by these two countries having a large adult population with the increased challenges of raised blood pressure. South Africa and India could benefit from adopting (with appropriate modifications) successful approaches to salt reduction that have been implemented in the UK and Canada. Adoption of sustainable, context-specific, culturally appropriate salt-reduction strategies are needed to reduce death and disability caused by excessive salt intake.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".