Evidence map›Paper›PMID 40771501›Full record

ArticleBMJ nutrition, prevention & health2025

'The wisdom of crowds': a survey on the rating of nutritional values of meals in digital pictures.

Kathrin Gemesi, Sophie Laura Holzmann, Markus Böhm, Nadja Leipold, Hanna Hauptmann, Martin Lurz, Georg Groh, Hans Hauner, Helmut Krcmar, Christina Holzapfel

Abstract read
In one paragraph

Article in BMJ nutrition, prevention & health, 2025. 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

10 authors.

Kathrin Gemesi *Institute for Nutritional Medicine, School of Medicine and Health, TUM University Hospital, Technical University of Munich, Munich, Germany.ORCID https://orcid.org/0000-0002-5179-6366
Sophie Laura Holzmann *Institute for Nutritional Medicine, School of Medicine and Health, TUM University Hospital, Technical University of Munich, Munich, Germany.
Markus BöhmDepartment of Informatics, University of Applied Sciences Landshut, Landshut, Germany.
Nadja LeipoldChair for Information Systems, Department of Informatics, Technical University of Munich, Garching, Germany.
Hanna HauptmannHuman-Centred Computing Group, Department of Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands.
Martin LurzChair for Information Systems, Department of Informatics, Technical University of Munich, Garching, Germany.
Georg GrohSocial Computing Research Group, Department of Informatics, Technical University of Munich, Garching, Germany.
Hans HaunerInstitute for Nutritional Medicine, School of Medicine and Health, TUM University Hospital, Technical University of Munich, Munich, Germany.
Helmut KrcmarChair for Information Systems, Department of Informatics, Technical University of Munich, Garching, Germany.
Christina HolzapfelInstitute for Nutritional Medicine, School of Medicine and Health, TUM University Hospital, Technical University of Munich, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Photo-based nutrition diaries might be useful to assess dietary intake without much effort and maybe even without nutrition expertise. This proof-of-concept study aimed to investigate the principle of 'the wisdom of crowds' by examining how accurately both nutrition experts and non-experts can rate nutritional values of meals presented in digital pictures. Methods: An online survey was conducted among adults in Germany from 2016 to 2017. Participants rated a random selection of six meal pictures according to their nutritional values (energy, carbohydrates, sugar and fat content) and their healthiness. Rating results were compared with the nutritional value calculated by the German Nutrient Database or according to the manufacturer's information ('truth'). Descriptive statistical analysis, Mann-Whitney-U test and multiple linear regression analysis were performed using RStudio. Results: In total, 110 (92.7 % women, mean age: 38.7±14.0 years) nutrition experts and 233 (31.3 % women, mean age: 21.2±2.6 years) non-experts participated. Overall meal pictures, experts overestimated the average content of all nutritional values (sugar: 3.8 %, energy: 4.9 %, carbohydrates: 4.9 % and fat: 10.4 %). Non-experts overestimated the average energy content by 10.4 %, fat content by 17.1 % and sugar content by 27.5%. The average carbohydrate content was underestimated by 9.0%. A statistically significant difference between the two crowds' ratings was found for energy (p=0.03), carbohydrates (p<0.001) and sugar (p<0.001), but not for fat (p=0.44). An increasing deviation of nutritional value ratings from the truth towards overrating was associated with decreasing rating of healthiness (all p<0.001). Conclusion: This study suggests that both experts and non-experts rate nutritional values of meals in digital pictures in an appropriate manner, although both crowds occasionally deviated significantly from the truth, especially over-rating occurred with decreasing rating of healthiness. Due to the proof-of-concept approach and the limited generalisability of the results, the principle of 'the wisdom of crowds' is not fully supported. Studies with a large representative population are necessary. However, findings suggest that crowd-based meal picture ratings could be a method of digital dietary self-monitoring in combination with gamification elements.

Indexed as

Nutrition assessment

Identifiers

PMID40771501
PMCPMC12322532

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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 OpenQuestion graph.