ArticleAddictive behaviors reports2023
Psychometric properties of the Bergen Social Media Addiction Scale: An analysis using item response theory.
Article in Addictive behaviors reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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.
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.
Who cites it
27 citing papers in PubMed.
- Mental health, personality, and cross-addictions as predictors of social media addiction: a machine learning longitudinal study.Addictive behaviors reports · 2026Article
- Social Media Use Among People Living with Chronic Pain: Cross-Sectional Study of Associated Factors.Journal of medical Internet research · 2026Article
- The translation and validation of the YouTube addiction scale in modern standard Arabic among emerging and young adults.Discover mental health · 2026Article
- Social Media Usage and Its Association With the Social Media Addiction Questionnaire Scale Among Early Adolescents.JAACAP open · 2026Article
- Problematic social media use among recreational cannabis users in Québec: A Cross-Sectional study.Addictive behaviors reports · 2026Article
- Social Media Addiction and Orthorexia Nervosa Tendencies in Turkish Adults: A Cross-Sectional Study of BMI and Lifestyle Factors.Behavioral sciences (Basel, Switzerland) · 2026Article
- Family-Based Preventive Interventions for Problematic Internet Use Among Children and Adolescents: Protocol for a Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2026Article
- Problematic internet and social-media use, stressful life events, depressive symptoms, and suicidal behaviors among university students in Cyprus: a cross-sectional study.Discover mental health · 2026Article
- Shedding light on mental health problems and potential solutions for young women: results from an anonymous asynchronous online focus group.Frontiers in psychiatry · 2026Article
- School-based prevalence and factors associated with depressive symptoms among secondary school adolescents in Mahagadhimai Municipality, Nepal.PLOS global public health · 2026Article
- The Interactive Effects of eHealth Literacy and Mental Health Literacy on Social Media Addiction and Depression-Anxiety-Stress in Adolescents: Cross-Sectional Study.Journal of medical Internet research · 2025Article
- Adolescent Eating Disorder Risk in a Bilingual Region: Clinical Prevalence, Screening Challenges and Treatment Gap in South Tyrol, Italy.Nutrients · 2025Observational
- Social Media Detox and Youth Mental Health.JAMA network open · 2025Observational
- Social Media Engagement and Usage Patterns, Mental Health Comorbidities, and Empathic Measures in an Italian Adolescent Sample: A Comparative Study.Children (Basel, Switzerland) · 2025Article
- Hoosier Sport Re-Social: a protocol for developing a biopsychosocial body satisfaction intervention in rural Indiana.Pilot and feasibility studies · 2025Article
- Beyond problematic social media use and the brain: A public health and policy perspective.Annals of the New York Academy of Sciences · 2025Review
- Toward healthy behavior: fear of missing out, smartphone, social networking addiction, and life satisfaction among medical students at Tanta University, Egypt.Discover mental health · 2025Article
- Psychometric validation of the Farsi Bergen social media addiction scale (BSMAS) among Iranian adults.BMC public health · 2025Article
- Wanting and liking of Facebook functions and their correlation to problematic use.Scientific reports · 2025Article
- Association between problematic TikTok use and mental health: A systematic review and meta-analysis.AIMS public health · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Social media use has become an everyday behavior in contemporary life resulting in increased participation. A minority of individuals, especially younger adults, may engage excessively with the medium, resulting in the emergence of problematic social media use (PSMU). One way of assessing PSMU is by administering the Bergen Social Media Addiction Scale (BSMAS). The present study investigated the psychometric properties and prevalence of the BSMAS using Item Response Theory (IRT). Additionally, it evaluated risk factors such as gender and age. Methods: A relatively large community sample (N = 968, Results: IRT analyses showed differences regarding the BSMAS items' discrimination, difficulty, and reliability capacities, with a raw score exceeding 26 (out of 30) indicating a higher risk of PSMU (n = 11; 1.1%). Females and younger participants were at greater risk of developing PSMU. Conclusion: The BSMAS functions as a reliable measure of PSMU, particularly between average to high levels of the trait. Additionally, younger participants were shown to be at higher risk of PSMU suggesting that prevention and intervention protocols should focus on this group.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.