Evidence map›Paper›PMID 37217622›Full record

Trial reportEuropean journal of clinical nutrition2023

Development and validation of an online tool to assess perceived portion size norms of discretionary foods.

Qingzhou Liu, Leanne Wang, Siyi Guo, Margaret Allman-Farinelli, Anna Rangan

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in European journal of clinical nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

5 authors.

Qingzhou LiuSchool of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Sydney, NSW, 2006, Australia.ORCID 0000-0002-5778-9159
Leanne WangCharles Perkins Centre, The University of Sydney, Sydney, NSW, 2006, Australia.
Siyi Guo
Margaret Allman-FarinelliCharles Perkins Centre, The University of Sydney, Sydney, NSW, 2006, Australia.
Anna RanganCharles Perkins Centre, The University of Sydney, Sydney, NSW, 2006, Australia. anna.rangan@sydney.edu.au.ORCID 0000-0003-1815-844X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPerceived portion size norms (typical perception of how much of a given food individuals choose to eat at a single occasion) may have shifted towards larger sizes due to the ubiquity of large serving sizes. However, there is a lack of validated tools to assess such norms for energy-dense and nutrient-poor discretionary foods. This study aimed to develop and validate an online tool to examine the perceived portion size norms of discretionary foods.

methodsAn online image-series tool of 15 commonly consumed discretionary foods was developed, with eight successive portion size options included for each food. Using a randomised-crossover design, adult consumers (18-65 years) completed the validation study in a laboratory session (April-May 2022) by reporting their perceived portion size norms for each food twice, once based on food images on a computer and another time based on equivalent real food portion size options at food stations in the laboratory. Agreement between methods for each test food was examined using cross-classification and intra-class correlation (ICC).

resultsA sample of 114 subjects were recruited (mean age 24.8 years). Cross-classification indicated >90% of selections were matched in the same or adjacent portion size option. ICC was 0.85 across all foods, demonstrating a good level of agreement.

conclusionThis novel online image-series tool developed to examine perceived portion size norms of discretionary foods showed good agreement with equivalent real food portion size options and may be valuable to investigate perceived portion size norms of common discretionary foods in future studies.

Indexed as

Energy IntakePortion SizeAdultFoodHumansNutrientsYoung AdultNutrients

Identifiers

PMID37217622
PMCPMC10393777

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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.