Evidence map›Paper›PMID 40900660›Full record

ArticleJournal of behavioral addictions2025

Salience and tolerance are not indicators of problematic social media use: Evidence from the Social Media Disorder Scale and the Bergen Social Media Addiction Scale.

Víctor Ciudad-Fernández, Loïs Fournier, Tamara Escrivá-Martínez, Rosa Baños, Alfredo Zarco-Alpuente, Joël Billieux

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Article in Journal of behavioral addictions, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

5 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

6 authors.

Víctor Ciudad-Fernández1Department of Personality, Evaluation, and Psychological Treatments, University of Valencia, Valencia, Spain.ORCID https://orcid.org/0000-0003-1366-0625
Loïs Fournier3Institute of Psychology, University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0001-6743-6456
Tamara Escrivá-Martínez1Department of Personality, Evaluation, and Psychological Treatments, University of Valencia, Valencia, Spain.ORCID https://orcid.org/0000-0001-6632-8402
Rosa Baños1Department of Personality, Evaluation, and Psychological Treatments, University of Valencia, Valencia, Spain.ORCID https://orcid.org/0000-0003-0626-7665
Alfredo Zarco-Alpuente5Department of Basic Psychology, University of Valencia, Valencia, Spain.ORCID https://orcid.org/0000-0001-6713-7325
Joël Billieux3Institute of Psychology, University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-7388-6194

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: The components model of addiction outlines six criteria shared by all addictive disorders. This proposal has been widely applied to conceptualize behavioral addictions, including problematic social media use (PSMU). However, certain criteria can be defined as "core" (e.g., mood modification, relapse, withdrawal, conflict), reflecting problematic involvement, while others as "peripheral" (e.g., salience, tolerance), reflecting non-problematic involvement. We evaluated whether a two-factor model distinguishing between core and peripheral criteria provides a better fit than the unifactorial model in PSMU. Additionally, we examined whether core and peripheral criteria exhibit different patterns of association with psychological measures. Methods: A total of 2,761 adolescents (M = 14.80 years, SD = 1.91 years) completed the Bergen Social Media Addiction Scale (BSMAS), the Social Media Disorder Scale (SMD), and measures of depression, anxiety, loneliness, life satisfaction, and self-esteem. Confirmatory factor analyses compared one-factor and two-factor models for the BSMAS and SMD. Associations were evaluated using structural equation models. Results: A two-factor model that distinguished core (i.e., mood modification, relapse, withdrawal, conflict) and peripheral (i.e., salience, tolerance) criteria provided a better fit than the unifactorial model for both scales. Core criteria were positively associated with depression, anxiety, and loneliness, and negatively associated with life satisfaction and self-esteem. Opposite patterns were observed for peripheral criteria: they were negatively associated with depression, anxiety, and loneliness, and positively associated with life satisfaction and self-esteem. Discussion and Conclusions: Our findings suggest that the components model of addiction may not be valid for assessing PSMU, promoting overdiagnosis and pathologization.

Indexed as

Behavior, AddictiveInternet Addiction DisorderPsychiatric Status Rating ScalesSocial MediaAdolescentAnxietyDepressionFactor Analysis, StatisticalFemaleHumansLonelinessMalePersonal SatisfactionSelf Conceptcomponents model of addictionconfirmatory factor analysiscore and peripheral criteriaproblematic social media usestructural equation modeling

Identifiers

PMID40900660
PMCPMC12486260

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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.