Evidence map›Paper›PMID 41701400›Full record

ArticlePsicologia, reflexao e critica : revista semestral do Departamento de Psicologia da UFRGS2026

Screen exposure and social cognition: examining the relationships between screen time, smartphone addiction, internet addiction, and theory of mind components in adolescents.

Didem Sain, Hasan Demirci, Yıldız Bilge

Abstract read
In one paragraph

Article in Psicologia, reflexao e critica : revista semestral do Departamento de Psicologia da UFRGS, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Didem SainDepartment of Psychology, University of Health Sciences, Istanbul, 34668, Turkey.
Hasan DemirciDepartment of Psychology, University of Health Sciences, Istanbul, 34668, Turkey. hasan.demirci@sbu.edu.tr.ORCID http://orcid.org/0000-0002-2948-0314
Yıldız BilgeDepartment of Psychology, University of Health Sciences, Istanbul, 34668, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimAlthough there are a limited number of studies investigating the relationship between smartphones, internet addiction, and theory of mind (ToM) in adolescents, the effect of screen exposure on ToM is not well understood. This study aims to examine whether the components of ToM in adolescents are affected by screen exposure.

methodsThe study sample comprised 293 students (164 females and 129 males) aged between 14 and 17 years. Data collection instruments included a Sociodemographic Data Form and an 11-item screen exposure instrument designed by the researchers. Additionally, the students were administered valid and reliable Turkish adaptations of the Smartphone Addiction Scale-Short Version (SAS-SV), the Young Internet Addiction Test-Short Form (YIAT-SF), the Reading the Mind in the Eyes Test (RMET), and the Dokuz-Eylül Theory of Mind Scale (DEToMS). Data were analyzed using the IBM SPSS Statistics 22.0 software package. The statistical analyses employed included independent samples t-tests, one-way analysis of variance (ANOVA), Pearson product-moment correlation coefficients, and mediation analysis using Model 4 of the PROCESS macro.

resultsA significant but weak negative relationships was found between screen exposure and ToM components (for RMET r = -0.14, for DEToMS r = -0.19). There was a significant negative relationship between smartphone addiction and internet addiction and the ability to read minds from eyes (r = -0.017 and r = -0.015, respectively), but no significant relationship was found with other ToM skills. Screen time was found to mediate the relationship between social cognition and both smartphone and internet addiction. However, the indirect effect of screen time on smartphone addiction (18%) was found to be stronger than its effect on internet addiction (10%).

conclusionThese findings suggest that excessive screen exposure has a detrimental impact on social cognition. The observed association between smartphone and internet addiction and deficits in emotion recognition underscores the importance of interventions to enhance adolescents’ social interactions and mitigate the negative impact on ToM abilities. In this context, structured strategies, such as limiting screen time and implementing social skills training to improve emotion recognition, may be considered feasible interventions for educators and mental health professionals.

Indexed as

AddictionAdolescentsScreen exposureSocial cognitionTheory of mind

Identifiers

PMID41701400
PMCPMC12963562

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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.