Otherindependent cross-checkabstract checked I-UPF-103 standard review

Can experts agree on what is ultra-processed?

Reliability and validity of assigning ultraprocessed food categories to 24-h dietary recall data.

Overview

Sneed NM et al.. Am J Clin Nutr 2023 · PMID 36789937 · DOI 10.1016/j.ajcnut.2022.10.016

With training and detailed food records, two coders agreed on the Nova category for 88% of foods.

Does the study support the specific claim? Partly · Methodological quality: moderate

Original publication

Plain-language summary

Study explained simply
What did the researchers want to find out?

To test reliability of Nova coding.

How was the study done?

Agreement study of coded dietary recalls.

How many people, animals or samples were studied?

3,099 foods from 610 children.

What was actually found?

Substantial agreement (kappa 0.75).

How large was the observed effect?

Kappa 0.75.

What do the results mean in everyday life?

The UPF category can be used consistently by trained researchers.

What are the study's limitations?

One setting; needs training.

What does it say about Elawady's specific claim?

Partly supports C-UPF-01's 'scientific category'.

Do the results apply to Germany and Europe?

Applicable.

What can explicitly not be concluded from this study?

Does not show the label test is precise.

Scientific in-depth review

1. Full reference

Authors
Sneed NM et al.
Journal
Am J Clin Nutr
Year
2023
Identifier
PMID 36789937 DOI 10.1016/j.ajcnut.2022.10.016 · PMC10196599
Verification
verified – PubMed efetch 2026-10-26; Crossref works API 2026-10-26
Retracted
no
Corrections
none
Extent checked
abstract only
Conflicts of interest and funding

No COI statement in PubMed record; funding listed: AHRQ HHS, NCATS NIH HHS, NHLBI NIH HHS, NIDDK NIH HHS

2. Research question

Can trained coders reliably assign Nova categories to foods from 24-h recalls?

3. Study design and population

Study design
Other – Secondary analysis of 24-h dietary recalls from an RCT (reliability/validity study of Nova coding)
Population

Children aged 3-5 years in an RCT

Country

USA

Period

Baseline and yearly for 3 years

Sample size

610 children; 5,546 recall days; 3,099 unique foods

Inclusion and exclusion criteria

Valid NDSR recalls

4. Methods and endpoints

Exposure / intervention

Nova coding by trained coder pairs

Comparator

Second independent coder

Endpoints

Percent concordance; Cohen's kappa; construct validity

Statistical methods

Interrater agreement statistics

5. Actual results

Results

Coder concordance 88.3%; kappa 0.75. UPF were 67% of unique foods and on average 62% of daily calories; UPF supplied 94% of added sugar and 47% of protein.

Absolute risks

Not applicable

Authors' conclusion

This method of Nova-classifying NDSR-based recalls was reliable and valid for identifying intake of processed foods including UPF.

6. Strengths

  • Large number of foods
  • Trained, certified coders

7. Weaknesses

  • Single dataset and protocol; US children
  • Reliability depends on detailed food descriptions and training

8. Risk of bias

Orienting tool
none applicable
Type of assessment
simplified assessment (abstract only)
Full formal assessment
no
Overall risk of bias
not assessable
Rationale

Measurement study.

9. Assessment of the statistical interpretation

Kappa 0.75 = substantial agreement; contrasts with 0.32-0.34 among untrained specialists (I-UPF-02).

10. Relevance to the specific claim

Supports that NOVA can be applied reliably under standardised conditions, partly countering I-UPF-02; does not make the category 'precise' in everyday use.

11. Independent contrary findings

I-UPF-02 Braesco 2022 found low agreement.

12. Transferability to Germany and Europe

Applicable to research use.

13. Overall methodological judgement

Reliability is achievable with training and detailed data.

Multidimensional assessment
Multidimensional assessment
Authenticity of the sourceverified
Methodological qualitymoderate
Risk of biasnot assessable
Precision of resultshigh
Directnessdirect
Reproducibilitypartly replicated
Consistency with the overall evidencemixed
Regional transferabilitymoderate
Adequacy of the interpretation (by the archive)not applicable

14. Open questions

Reliability with product labels in Egypt.

15. Linked fact checks