Summary
This supplementary dataset from Springmann's 2016 analysis presents quantified estimates of health outcomes and climate mitigation potential arising from dietary shifts towards more plant-forward food systems. The work integrates epidemiological evidence on diet–disease relationships with life-cycle assessment and economic valuation methods to appraise cobenefits across populations. As an archival release of supporting data, it provides the underlying quantitative estimates for scenario modelling of dietary change impacts on both non-communicable disease burden and agricultural greenhouse gas emissions.
UK applicability
The global scope of this modelling study and its focus on dietary patterns and agricultural emissions suggests applicability to UK nutrition and climate policy contexts, particularly for informing food-based dietary guidelines and agricultural emissions reduction targets. However, the degree to which global-level scenarios translate to UK-specific health and environmental outcomes would depend on the granularity of UK-level data inputs in the model.
Key measures
Non-communicable disease burden (as suggested by title); agricultural greenhouse gas emissions; economic valuation of cobenefits; dietary scenarios
Outcomes reported
The dataset presents quantified estimates of health outcomes (non-communicable disease burden reduction) and climate mitigation potential (agricultural greenhouse gas emissions reductions) arising from modelled dietary change scenarios. The work integrates epidemiological evidence on diet–disease relationships with life-cycle assessment and economic valuation.
Topic tags
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