Evidence map›Paper›PMID 39961909›Full record

ArticleThe Psychiatric quarterly2025

A Stitch in Time Saves Nine: Predicting Internet Addiction Levels of Preservice Teachers.

İsmail Şan, H Gülhan Orhan Karsak, Curtis J Bonk, Derya Karadeniz

Abstract read
In one paragraph

Article in The Psychiatric quarterly, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

İsmail Şan *Department of Educational Sciences, Faculty of Education, İnönü University, 44280, Malatya, Turkey. ismail.san@inonu.edu.tr.ORCID 0000-0003-0780-0169
H Gülhan Orhan Karsak *Faculty of Arts and Science, Department of Educational Sciences, Kırklareli University, 39000, Kırklareli, Turkey.ORCID 0000-0001-5927-6341
Curtis J Bonk *Instructional Systems Technology Department, School of Education, Indiana University, Bloomington, IN, USA.ORCID 0000-0002-6365-9502
Derya Karadeniz *Department of Educational Sciences, Faculty of Education, İnönü University, 44280, Malatya, Turkey.ORCID 0000-0002-1495-7896

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aimed to explore the potential moderating effects of extracurricular study habits, internet usage duration, gender and emotion regulation skills on internet addiction of preservice teachers. The sample consisted of 492 preservice teachers (308 female) from 10 different institutions in Turkey, who voluntarily provided data. The findings revealed that emotion regulation skills, particularly reappraisal, interacted with daily internet usage time in predicting internet addiction. High levels of reappraisal emotion regulation were linked to lower levels of internet addiction, regardless of the duration of internet use. Conversely, for individuals with lower reappraisal abilities, a positive correlation emerged between internet usage time and internet addiction. Furthermore, extracurricular study habits significantly contributed to the prediction of internet addiction in a positive way, as evidenced by both regression and correlational analyses. These findings underscore the importance of considering emotion regulation alongside study habits and other physiological factors to better understand and address internet addiction in preservice teachers. The implications of the findings for educational policy and teacher education are discussed.

Indexed as

Behavior, AddictiveEmotional RegulationInternetInternet Addiction DisorderSchool TeachersAdultFemaleHumansMaleMiddle AgedTurkeyYoung AdultEmotion Regulation SkillsExtracurricular Study HabitsInternet AddictionPreservice Teachers

Identifiers

PMID39961909
PMCPMC12213910

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.