Evidence map›Paper›PMID 39940431›Full record

ArticleNutrients2025

Plant-Based vs. Animal-Based Diets: Appetitive Traits and Dietary Patterns in Adults Based on Cross-Sectional Surveys.

Klaudia Wiśniewska, Katarzyna Małgorzata Okręglicka, Mariusz Jaworski, Aneta Nitsch-Osuch

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In one paragraph

Article in Nutrients, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
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

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2 · The registry

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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.

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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

4 authors.

Klaudia WiśniewskaDepartment of Social Medicine and Public Health, Medical University of Warsaw, 02-091 Warsaw, Poland.ORCID 0000-0003-0500-4097
Katarzyna Małgorzata OkręglickaDepartment of Social Medicine and Public Health, Medical University of Warsaw, 02-091 Warsaw, Poland.
Mariusz JaworskiDepartment of Education and Research in Health Sciences, Medical University of Warsaw, 02-091 Warsaw, Poland.ORCID 0000-0002-5207-8323
Aneta Nitsch-OsuchDepartment of Social Medicine and Public Health, Medical University of Warsaw, 02-091 Warsaw, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDietary patterns play a crucial role in shaping eating behaviours and influencing health outcomes, such as body weight. Understanding how appetitive traits differ between plant-based and animal-based diets can provide insights into dietary strategies for weight management and improved health.

objectivesThe aim of this study was to analyse the relationships between appetitive traits, as measured by the Adult Eating Behaviour Questionnaire (AEBQ), and dietary patterns in adults consuming plant-based or animal-based diets. It examined how these dietary patterns influence body mass index (BMI) and explored the differences in appetite-related traits between groups with different levels of plant and animal product consumption.

methodsA cross-sectional survey of 553 Polish adults was conducted using validated questionnaires, including the AEBQ and a food frequency questionnaire (FFQ). The participants were categorised into four dietary groups: high intake of both plant and animal products, low intake of both, plant-based diet, and animal-based diet. The data were analysed using SPSS version 14.0 software.

resultsThe participants on a plant-based diet had significantly lower BMIs and slower eating rates than those on an animal-based diet. Positive correlations were observed between 'food approach' traits (e.g., food responsiveness, emotional overeating) and BMI, particularly in individuals with higher animal product consumption. Conversely, 'food avoidance' traits (e.g., food fussiness, slowness in eating) were more prevalent among those on a plant-based diet.

conclusionsThe results suggest that plant-based diets are associated with favourable appetitive traits and a lower BMI. These findings highlight the potential of plant-based diets to support weight control and improve eating behaviours. Further research is warranted to investigate the causal mechanisms underlying these associations.

Indexed as

AppetiteAppetitive BehaviorDietDiet, VegetarianFeeding BehaviorMeatAdultAnimalsBody Mass IndexCross-Sectional StudiesFemaleHumansMaleMiddle AgedPolandSurveys and Questionnairesappetiteappetitive traitsbehavioureatingobesityplant-based dietweight

Identifiers

PMID39940431
PMCPMC11819905

What Socratic holds

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LicenceCC BY
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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 Socratic graph.