Evidence map›Paper›PMID 40806139›Full record

ArticleNutrients2025

Univariate and Multivariate Pattern Analysis Reveals the Effects of Negative Body Image at Fatness on Food-Related Inhibitory Control.

Zihan Xu, Yuchan Xu, Junyao Han, Lechang Sun, Junwei Lian, Zhifang Li, Yong Liu, Jia Zhao

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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. 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

8 authors.

Zihan XuFaculty of Psychology, Southwest University, Chongqing 400715, China.ORCID 0009-0000-0387-2240
Yuchan XuFaculty of Psychology, Southwest University, Chongqing 400715, China.ORCID 0009-0006-8457-0896
Junyao HanFaculty of Psychology, Southwest University, Chongqing 400715, China.
Lechang SunFaculty of Psychology, Southwest University, Chongqing 400715, China.
Junwei LianFaculty of Psychology, Southwest University, Chongqing 400715, China.
Zhifang LiSchool of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China.
Yong LiuFaculty of Psychology, Southwest University, Chongqing 400715, China.
Jia ZhaoFaculty of Psychology, Southwest University, Chongqing 400715, China.ORCID 0000-0003-0230-887X

Funding

National Natural Science Foundation of China 32200849National Natural Science Foundation of China 32300916
6 · The paper itself

Abstract

BACKGROUND/

objectivesPerceptions of obesity critically influence people's eating behaviors and responses to food stimuli. However, few studies have investigated the impact of negative body perception on behavioral and neural responses to food stimuli. This study investigates how elevated body dissatisfaction modulates food-related inhibitory control.

methodsFifty-one participants comprising three cohorts-overweight/obese individuals (OO), normal-weight participants exhibiting high negative body image (HNN), and healthy controls-performed a food-specific inhibitory control task under EEG recording.

resultsThe results showed that the HNN cohort achieved superior no-go accuracy and enhanced inhibitory control compared to controls. An event-related potentials (ERPs) analysis revealed increased conflict detection (P200) for high-calorie foods and reduced conflict resolution (LPP) in the HNN group, similar to the overweight/obese group. A multivariate pattern analysis (MVPA) identified earlier neural discrimination in the HNN group, suggesting more efficient inhibitory processing.

conclusionsThese findings underscore negative body perception as a critical modulator of food-related cognitive control mechanisms.

Indexed as

Body ImageFeeding BehaviorInhibition, PsychologicalObesityOverweightAdultElectroencephalographyEvoked PotentialsFemaleHumansMaleMultivariate AnalysisYoung Adultinhibitory controlmultivariate pattern analysisnegative body imageobesity

Identifiers

PMID40806139
PMCPMC12348449

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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.