Evidence mapPaperPMID 39651328Full record

ArticleNutrition research and practice2024

Exploring the potential utility of a single-item perceived diet quality measure.

Soo Hyun Kim, Hyojee Joung, Seul Ki Choi

Abstract read
In one paragraph

Article in Nutrition research and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Disseminating Health Prevention Programs Using AI-Crafted, Culturally Tailored Ads for Somali American Adolescents.Prevention science : the official journal of the Society for Prevention Research · 2026
    Article
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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

3 authors.

Soo Hyun KimDepartment of Public Health, Graduate School of Public Health, Seoul National University, Seoul 08826, Korea.ORCID https://orcid.org/0000-0002-3367-6360
Hyojee JoungDepartment of Public Health, Graduate School of Public Health, Seoul National University, Seoul 08826, Korea.ORCID https://orcid.org/0000-0003-1182-7786
Seul Ki ChoiGraduate School of Urban Public Health, University of Seoul, Seoul 02504, Korea.ORCID https://orcid.org/0000-0002-3330-3652

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesPerceived diet quality (PDQ) has been suggested as an easy-to-use dietary assessment tool. However, its practicality and efficiency are still questionable. This study aimed to gauge the utility of PDQ as an alternative dietary assessment tool among Korean adults by examining PDQ and its associated factors. SUBJECTS/

methodsAn online survey was conducted on 514 Korean adults aged 19 to 64 years in October 2022. PDQ was assessed using a 5-point Likert scale, and participants were categorized into healthy, fair, or unhealthy PDQ groups. The participants were asked about the perceived importance of nutrients and food groups for health and the extent to which they considered these factors in their usual diets using a 5-point Likert scale. A multivariate linear regression model was used to identify the factors associated with PDQ.

resultsAbout 26.7% of participants rated their diets as healthy, while 63.2% rated them as fair and 10.1% rated them as unhealthy. Participants with a healthy PDQ rated perceived importance and consideration of nutrients and food groups higher than the fair or unhealthy PDQ groups. A healthier PDQ was associated with the male gender, an older age, being normal or underweight, having better subjective health, lower use of alcohol, being physically active, having a high interest in healthy diets, and a higher perception of the importance of nutrients and food groups for health.

conclusionThe PDQ could serve as a simple and rapid screening tool for identifying individuals at risk of poor diets.

Indexed as

diet, food, and nutritionDiet surveysscreening

Identifiers

PMID39651328
PMCPMC11621431

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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 Socratic graph.