Evidence map›Paper›PMID 41484862›Full record

ArticleBMC psychiatry2026

Social media addiction in five major mental disorders: a cross-sectional comparative study.

Ulaş Korkmaz, Meltem Hazel Şimşek

Abstract readComparative Study
In one paragraph

Article in BMC psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Ulaş KorkmazDepartment of Psychiatry, Giresun University, Giresun, Türkiye. ulas.korkmaz@giresun.edu.tr.ORCID 0000-0003-2392-6562
Meltem Hazel ŞimşekDepartment of Psychiatry, Giresun University, Giresun, Türkiye.ORCID 0000-0002-3323-4116

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocial media addiction (SMA) is an increasingly prevalent and significant public health concern. While the relationship between SMA and mental health symptoms, such as anxiety and depression, is well established in the general population, the prevalence, severity, and associations of SMA with mental health symptoms among individuals with mental disorders have not been sufficiently investigated. This study aimed to evaluate the prevalence and severity of SMA, as well as its associations with anxiety and depression symptoms, in diagnostic groups including anxiety disorders (AD), depressive disorders (DD), bipolar disorder (BD), schizophrenia spectrum disorders (SSD), and obsessive-compulsive disorder (OCD).

methodsA total of 707 patients and 162 healthy controls participated in this cross-sectional comparative study conducted in Türkiye. Participants were assessed using the Sociodemographic Data Form, the Bergen Social Media Addiction Scale (BSMAS), and the Hospital Anxiety and Depression Scale. For the BSMAS, the liberal approach defined the cutoff as obtaining a score of three or more on at least four of the six items, while the conservative approach required a score of three or more on all six items. Group comparisons, correlation analyses, and logistic regression analyses were employed for the statistical analyses.

resultsAccording to the liberal BSMAS criterion, the prevalence of SMA was highest in the OCD group (44.6%, 95% CI = 35.3% - 54.3%) and lowest in the SSD group (20.8%, 95% CI = 14.5% - 28.9%). Compared to the control group, the OCD group was associated with a higher risk of SMA under both the liberal (OR = 2.45, 95% CI = 1.39-4.31) and conservative (OR = 3.68, 95% CI = 1.58-8.59) criteria. BSMAS scores were significantly higher in the OCD, AD, and DD groups than in the controls. Significant positive correlations were observed between SMA severity and anxiety and depression levels in the AD, DD, and BD groups. In contrast, these associations were not significant in the OCD and SSD groups. Logistic regression analysis showed that when applying the conservative criterion, AD, BD, SSD, and OCD diagnoses could be independent risk factors for SMA.

conclusionsThe findings suggest that major mental disorders may be risk factors for SMA. While co-occurring anxiety and depression symptoms play an important role in this relationship, they only partially explain the association, suggesting that additional mechanisms independent of these symptoms may also be influential, especially in OCD and BD. It is recommended that social media use habits be routinely evaluated in individuals with mental disorders and that comprehensive intervention strategies be developed. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Behavior, AddictiveInternet Addiction DisorderMental DisordersSocial MediaAdultAnxiety DisordersBipolar DisorderCross-Sectional StudiesDepressive DisorderFemaleHumansMaleMiddle AgedObsessive-Compulsive DisorderPrevalenceTurkeyAnxietyDepressionMental disordersSocial media addiction

Identifiers

PMID41484862
PMCPMC12866399

What Socratic holds

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LicenceCC BY
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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.