ArticleNature food2026
Global dietary estimates for conducting health, environmental and economic impact assessments.
Article in Nature food, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Global dietary estimates for conducting health, environmental and economic impact assessments.Nature food · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Dietary intake has important implications for health, the environment and the economy. However, current global estimates of food intake are uncertain and incomplete. Here we develop a Global Dietary Database for Impact Assessments (GDD-IA) that combines data sources on regional food availability and food waste estimates, socio-demographic variation in intake from dietary surveys and energy intake estimates based on measurements of body weight, height and physical activity. The GDD-IA covers food intake of 43 food groups by country, age, sex and urban/rural residence across five-year periods between 1990 and 2020. It is designed for dietary impact assessments that require coverage of complete diets, absolute food intake levels that minimize risk of over or underestimation and regional comparability with granular socio-demographic detail. We illustrate the advantages of using the GDD-IA over unadjusted dietary-survey and food availability estimates by assessing the health burden, environmental resource use and food costs related to diets.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.