Evidence mapPaperPMID 42473152Full record

ReviewHealth promotion international2026

Digital determinants of nutrition: the case for a distinct domain to guide health promotion research and policy.

Kanika Agarwal, Louise Holly

Abstract readReview
In one paragraph

Review in Health promotion international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Kanika AgarwalKoita Centre for Digital Health (KCDH-A), Ashoka University, Sonipat, Haryana 131029, India.
Louise HollyDigital Transformations for Health Lab, University of Geneva, Campus Biotech, Chemin des Mines 9, Geneva 1202, Switzerland.ORCID 0000-0001-5583-5142

Funding

Fondation Botnar Project IMG-22-005
6 · The paper itself

Abstract

Digitalization is shaping the environments, behaviours, and systems through which people access, choose, and produce food, yet nutrition has received limited attention within growing scholarly and policy debates on the digital determinants of health. This perspective argues that the digital transformation is shaping nutrition through pathways that are sufficiently distinct and far-reaching to warrant dedicated attention. We propose that there must be a concerted focus on addressing the digital determinants of nutrition (DDoN), defined as structural conditions that influence nutrition through shaping the characteristics, features, uses, and governance of digital technologies and ecosystems, in future research and policy action. Drawing on a narrative review of literature at the intersection of digital transformations and nutrition, we identify five major pathways through which digital technologies are currently shaping nutrition outcomes: precision nutrition solutions; digital nutrition education and information; digital food environments; digital marketing and content; and digitally transformed agriculture and food systems. Across these pathways, digital transformations present both significant opportunities and serious risks for nutrition, with structural risks often disproportionately affecting vulnerable populations. Establishing DDoN as a recognized domain within health promotion would enable a more coordinated, multi-sectoral response and help ensure that digital governance agendas account for their nutritional consequences.

Indexed as

Digital TechnologyHealth PolicyHealth PromotionNutrition PolicyDigital HealthDigital MediaHumansdeterminants of healthdigital determinantsdigital transformationfood environmenthealth promotionnutrition

Identifiers

PMID42473152
PMCPMC13394716

What Socratic holds

Textmetadata
LicenceCC BY-NC
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Registered trials

None linked

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 Socratic graph.