Evidence map›Paper›PMID 34802454›Full record

ArticleJournal of eating disorders2021

Eating disorders symptoms and excessive internet use in adolescents: the role of internalising and externalising problems.

Nika Šablatúrová, Jaroslav Gottfried, Lukas Blinka, Anna Ševčíková, Daniela Husarova

Abstract read
In one paragraph

Article in Journal of eating disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
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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.

Nika ŠablatúrováFaculty of Social Studies, Masaryk University, Joštova 10, 60200, Brno, Czech Republic.
Jaroslav GottfriedFaculty of Social Studies, Masaryk University, Joštova 10, 60200, Brno, Czech Republic.
Lukas BlinkaFaculty of Social Studies, Masaryk University, Joštova 10, 60200, Brno, Czech Republic. lukasblinka@gmail.com.ORCID http://orcid.org/0000-0003-0380-4744
Anna ŠevčíkováFaculty of Social Studies, Masaryk University, Joštova 10, 60200, Brno, Czech Republic.
Daniela HusarovaDepartment of Health Psychology and Methodology Research, Faculty of Medicine, P.J. Safarik University in Kosice, Košice, Slovakia.

Funding

agentúra na podporu výskumu a vývoja APVV-15-0012agentúra na podporu výskumu a vývoja APVV-18-0070masarykova univerzita MUNI/A/1564/2020Vedecká Grantová Agentúra MŠVVaŠ SR a SAV VEGA 1/0177/20
6 · The paper itself

Abstract

backgroundBoth eating disorders and excessive internet use represent significant health issues for contemporary adolescents. Yet, the link between them has seldom been investigated. We aim to study this association through their common underlying psychological factors: internalising problems and externalising problems.

methodsA representative sample of 7,083 adolescents (M

resultsThere was a partial correlation between EDS and EIU (r = 0.36 for boys and r = 0.29 for girls) after controlling for the internalising and externalising of problems. Internalising and externalising problems were positively associated with EDS, while EIU was only associated with externalising problems. The results were comparable for both genders.

conclusionThe study provides evidence that, during adolescence, EDS and EIU are related and have a tendency to occur together. Also, they are related even when controlled for their shared underlying psychological factors, namely the emotional and attentional/behavioural difficulties.

Indexed as

AdolescentsEating disorders symptomsExcessive internet useExternalising problemsInternalising problems

Identifiers

PMID34802454
PMCPMC8607794

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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.