Evidence map›Paper›PMID 41566348›Full record

ArticleBMC psychology2026

The mediating effect of depression and eating behaviours on the relationship between smartphone addiction and obesity in adolescents.

Nesrullah Ayşin, Samet Koltaş

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Article in BMC psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

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4 · The record

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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

2 authors.

Nesrullah AyşinDepartment of Nursing, Faculty of Health Sciences, Hakkari University, Hakkari, Turkey. nesrullahaysin@hakkari.edu.tr.ORCID http://orcid.org/0000-0001-7087-8810
Samet KoltaşDepartment of Nursing, Faculty of Health Sciences, Hakkari University, Hakkari, Turkey.ORCID http://orcid.org/0009-0000-1272-4223

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe widespread use of smartphones among adolescents has led to growing concerns about their potential effects on both mental and physical health. Excessive smartphone use among adolescents has been linked to depression, sedentary behavior, and unhealthy eating habits, all of which increase obesity risk. Yet, the mechanisms connecting smartphone addiction to obesity especially through depression and eating behaviors remain unclear.

methodsA cross-sectional design was conducted with 1,050 adolescents from five high schools in Eastern Turkey between April and June 2025. Data were collected using the Smartphone Addiction Scale–Short Version (SAS-SV), Kutcher Adolescent Depression Scale–11 (KADS-11), and Adolescent Eating Behavior Scale (AEBS). Anthropometric measurements (height and weight) were taken to calculate BMI-for-age z-scores based on WHO standards. Data were analyzed using descriptive statistics, Pearson correlations, multiple regression, and mediation analysis with Hayes’ PROCESS macro (Model 4), controlling for demographic covariates.

resultsSmartphone addiction was not directly associated with obesity (c’=0.04, p = 0.48). However, significant indirect effects were observed through depression (b = 0.04, 95% CI [0.02–0.07]) and eating behaviors (b = 0.07, 95% CI [0.04–0.11]), with a total indirect effect of b = 0.11 (95% CI [0.07–0.16]). Depression was positively associated with BMI-z scores, whereas unhealthy eating behaviors were negatively associated with them. The overall model explained 19% of the variance in BMI-z.

conclusionsThese findings indicate that smartphone addiction increases obesity risk indirectly through depressive symptoms and unhealthy eating patterns rather than through direct effects. Interventions targeting adolescent obesity should incorporate strategies that enhance emotional regulation, promote healthy eating behaviors, and improve digital self-regulation skills. Integrated school-based programs combining mental health support, nutrition education, and digital health literacy may be effective in reducing the dual risks of smartphone addiction and obesity.

Indexed as

Adolescent BehaviorBehavior, AddictiveDepressionFeeding BehaviorInternet Addiction DisorderPediatric ObesitySmartphoneAdolescentCross-Sectional StudiesFemaleHumansMaleTurkeyAdolescentsDepressionEating behaviorsNursingObesitySmartphone addiction

Identifiers

PMID41566348
PMCPMC12903617

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.