Evidence map›Paper›PMID 42934413›Full record

ReviewEuropean journal of clinical nutrition2026

Rethinking the application and adoption of NOVA classification in low- and middle-income countries (LMICs): a Southeast Asian food systems perspective.

C Jeyakumar Henry, M Aman Wirakartakusumah, E-Siong Tee, Purwiyatno Hariyadi

Abstract readReview
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In one paragraph

Review in European journal of clinical nutrition, 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

4 authors.

C Jeyakumar HenryConsultant, Global Centre for Asian women's health, National University of Singapore, Singapore, 117549, Singapore. henrykumar39@gmail.com.ORCID http://orcid.org/0000-0002-1602-0140
M Aman WirakartakusumahIPMI Institute and SEAFAST Centre, IPB University, Jakarta, Indonesia.
E-Siong TeeTES NutriHealth Strategic Consultancy, Petaling Jaya, Malaysia.
Purwiyatno HariyadiDivision of Food Science and Technology, Faculty of Agricultural Engineering and Technology, IPB University, Bogor, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ultra-processed foods have increasingly been associated with chronic disease risk in global analyses. The NOVA classification is positioned to influence dietary guidelines, food manufacturing, and public health policy worldwide. This paper argues that the NOVA classification, when applied without contextual adaptation, may be inappropriate for Southeast Asian food systems. It could misdirect policy interventions aimed at addressing both the double burden of under- and overnutrition. By labelling foods as UPFs, NOVA may obscure the essential role that certain processed foods play in improving nutritional outcomes and advancing public health. An overemphasis on the negative impact of processed and ultra-processed foods risks oversimplifying complex dietary patterns in Asia and other LMICs. It may also undermine nutritional gains achieved over the past four decades.

Identifiers

What OpenQuestion holds

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Registered trials

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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.