Evidence map›Paper›PMID 42712382›Full record

ArticleFrontiers in nutrition2026

Knowledge, Attitudes, and practices regarding the anti-inflammatory diet among the general population.

Pengyan Wu, Yi Liang, Jianlan Pan, Yu Feng, Yuxi Li, Wenyan Yang, Xiaoxiao Qian

Abstract read
In one paragraph

Article in Frontiers in 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
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0citing papers in PubMed
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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

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

7 authors.

Pengyan WuClinical Nutrition Department, Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Yi LiangClinical Nutrition Department, Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Jianlan PanClinical Nutrition Department, Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Yu FengClinical Nutrition Department, Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Yuxi LiClinical Nutrition Department, Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Wenyan YangClinical Nutrition Department, Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Xiaoxiao QianClinical Nutrition Department, Affiliated Hospital of Guizhou Medical University, Guiyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to investigate knowledge, attitudes, and practices (KAP) regarding the anti-inflammatory diet among the general population. Methods: A multicenter cross-sectional survey was conducted among adults in Guizhou, China, from February to April 2026. Demographic characteristics and KAP dimensions were assessed using a validated questionnaire. KAP levels were categorized according to Bloom's criteria as poor (<60% of the total score), moderate (60-79%), or good (≥80%). Structural equation modeling (SEM) was used to explore the relationships among knowledge, attitude, and practice. Results: A total of 679 participants were included, predominantly aged 31-45 years. The mean knowledge, attitude, and practice scores were 10.36 ± 4.44 (possible range: 0-21), 31.38 ± 4.49 (possible range: 9-45), and 25.89 ± 4.94 (possible range: 8-40), respectively. Significant correlations were observed among the three dimensions (knowledge-attitude Conclusion: Participants demonstrated inadequate knowledge, positive attitudes, and moderate practices toward the anti-inflammatory diet. Higher knowledge was associated with more favorable attitudes and healthier dietary behaviors. Strengthening public access to accurate dietary information and implementing practical, low-cost educational strategies may enhance population-level adherence to anti-inflammatory dietary patterns.

Indexed as

anti-Inflammatory agentsattitudescross-sectional studiesdiethealth knowledgenutrition assessmentpractice

Identifiers

PMID42712382
PMCPMC13549841

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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.