Evidence map›Paper›PMID 26049927›Full record

ArticleEating and weight disorders : EWD2015

The association between internet addiction and disordered eating attitudes among Turkish high school students.

Ahmet Hamdi Alpaslan, Uğur Koçak, Kadriye Avci, Hanife Uzel Taş

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Article in Eating and weight disorders : EWD, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
15.0field-weighted citation impact, top 2% 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

37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 83 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Ahmet Hamdi AlpaslanDepartment of Child and Adolescent Psychiatry, Faculty of Medicine, Afyon Kocatepe University, Afyonkarahisar, Turkey. ahmethamdialpaslan@yahoo.com.
Uğur KoçakDepartment of Forensic Medicine, Faculty of Medicine, Afyon Kocatepe University, Afyonkarahisar, Turkey.
Kadriye AvciDepartment of Public Health, Faculty of Medicine, Afyon Kocatepe University, Afyonkarahisar, Turkey.
Hanife Uzel TaşDepartment of Public Health, Faculty of Medicine, Afyon Kocatepe University, Afyonkarahisar, Turkey.
Afyon Kocatepe University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of the present study is to investigate the prevalence of disordered eating attitudes (DEAs) and internet addiction (IA) among a non-clinical sample of adolescents and to investigate the relationship between IA, DEAs, and selected socio-demographic characteristics.

methodsA total of 584 adolescents (34.8% n = 203 males and 65.2% n = 381 females) completed three instruments: the Eating Attitude Test-26 (EAT-26), the Internet Addiction Test (IAT), and a socio-demographic questionnaire.

resultsIt was found that 15.2% (n = 89) of the participants have DEAs, and IA was detected in 10.1% (n = 59) of the participants. There was a statistically significant difference between the IA and non-IA groups in terms of body mass index (χ (2) = 10.31, p < 0.01). We found a significant positive correlation between the IAT and EAT-26 scores (r = 0.34, p < 0.01). The presence of DEAs, male gender, and high BMI were found to be the strongest predictor variables of IA.

conclusionsIA and DEAs are relatively frequent phenomena among young students in Turkey. Future studies should attempt to determine the predictive factors by identifying the causal relations between IA and DEAs.

Indexed as

Attitude to HealthAdolescentBehavior, AddictiveBody Mass IndexFeeding and Eating DisordersFemaleHumansInternetMalePsychological TestsStudentsTurkeyAdolescentsBody mass indexDisordered eating attitudesInternet addiction

Identifiers

PMID26049927
OpenAlexW615841969

What OpenQuestion holds

Textmetadata
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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 OpenQuestion graph.