Evidence map›Paper›PMID 33219691›Full record

ArticleSocial cognitive and affective neuroscience2020

A Systematic Review Of Implicit Attitudes And Their Neural Correlates In Eating Behaviour.

Alessia Gallucci, Lilia Del Mauro, Alberto Pisoni, Leonor Romero Lauro, Giulia Mattavelli

Abstract read
In one paragraph

Article in Social cognitive and affective neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  9. The social neuroscience of eating: an introduction to the special issue.Social cognitive and affective neuroscience · 2023
    Article
  10. Review
  11. Review
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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

5 authors.

Alessia GallucciPh.D. program in Neuroscience, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
Lilia Del MauroDepartment of Psychology, University of Milano-Bicocca, Milan, Italy.
Alberto PisoniNeuroMi (Neuroscience Center) - University of Milano-Bicocca, Milan.
Leonor Romero LauroNeuroMi (Neuroscience Center) - University of Milano-Bicocca, Milan.
Giulia MattavelliNETS, School of Advanced Studies, IUSS, Pavia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An increasing number of studies suggests that implicit attitudes toward food and body shape predict eating behaviour and characterize patients with eating disorders (EDs). However, literature has not been previously analysed, thus differences between patients with EDs and healthy controls and the level of automaticity of the processes involved in implicit attitudes are still matters of debate. The present systematic review aimed to synthetize current evidence from papers investigating implicit attitudes towards food and body in healthy and EDs populations. PubMed, EMBASE (Ovid), PsycINFO, Web of Science and Scopus were systematically screened and 183 studies using different indirect paradigms were included in the qualitative analysis. The majority of studies reported negative attitudes towards overweight/obese body images in healthy and EDs samples and weight bias as a diffuse stereotypical evaluation. Implicit food attitudes are consistently reported as valid predictors of eating behaviour. Few studies on the neurobiological correlates showed neurostimulation effects on implicit attitudes, but the automaticity at brain level of implicit evaluations remains an open area of research. In conclusion, implicit attitudes are relevant measures of eating behaviour in healthy and clinical settings, although evidence about their neural correlates is limited.

Indexed as

body image evaluationeating disordersfood preferenceImplicit attitudesweight bias

Identifiers

PMID33219691
PMCPMC10074774

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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.