Evidence map›Paper›PMID 32280464›Full record

ArticleJournal of eating disorders2020

ERP and oscillatory differences in overweight/obese and normal-weight adolescents in response to food stimuli.

Stefanie C Biehl, Julian Keil, Eva Naumann, Jennifer Svaldi

Open access · goldAbstract read
In one paragraph

Article in Journal of eating disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
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

13 citing papers in PubMed, 25 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Stefanie C Biehl1Department of Clinical Psychology and Psychotherapy, University of Tuebingen, Schleichstrasse 4, 72076 Tuebingen, Germany.
Julian Keil3Biological Psychology, Christian-Albrechts University, Olshausenstraße 62, 24118 Kiel, Germany.
Eva Naumann1Department of Clinical Psychology and Psychotherapy, University of Tuebingen, Schleichstrasse 4, 72076 Tuebingen, Germany.
Jennifer Svaldi1Department of Clinical Psychology and Psychotherapy, University of Tuebingen, Schleichstrasse 4, 72076 Tuebingen, Germany.
University of Tübingen · DEKiel University · DEUniversity of Regensburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFindings are mixed regarding the association of electroencephalographic (EEG) attentional bias measures and body weight, with few studies measuring food craving or intake and no study reporting oscillatory measures.

methodsEEG data were collected while 28 satiated adolescents (14 overweight/obese) viewed pictures of neutral, low-calorie food, and high-calorie food stimuli and rated their desire to eat, before having access to high-calorie snacks.

resultsUnlike normal-weight adolescents, overweight/obese participants showed similar P300 amplitudes for high- and low-calorie food, and strongest event-related alpha band desynchronization for low-calorie stimuli. P300 amplitudes and state craving for low-calorie food furthermore predicted snack intake in this group.

conclusionsThe current research focus in overweight/obesity might need to be extended to include low-calorie food. While all participants showed an attentional bias for high-calorie food, it was the processing of low-calorie food which distinguished the two weight groups on measures of neural activity and which was associated with snack food intake in the overweight/obese group.

Indexed as

AdolescentsAlpha band oscillationsEvent-related potentialsFood stimuliObesityOverweight

Identifiers

PMID32280464
PMCPMC7137417
OpenAlexW3015895063

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.