Cited by 114Impact of Technology on AdolescentsSexuality, Behavior, and TechnologyMental Health Research Topics

Six addiction components of problematic social media use in relation to depression, anxiety, and stress symptoms: a latent profile analysis and network analysis

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Peng, Pu, Liao, Yanhui·2023·BMC Psychiatry

Abstract

BACKGROUNDS: Components of addiction (salience, tolerance, mood modification, relapse, withdrawal, and conflict) is the most cited theoretical framework for problematic social media use (PSMU). However, studies criticized its ability to distinguish problematic users from engaged users. We aimed to assess the association of the six criteria with depression, anxiety, and stress at a symptom level. METHODS: Ten thousand six hundred sixty-eight participants were recruited. Bergen Social Media Addiction Scale (BSMAS) was used to detect six addiction components in PSMU. We applied the depression-anxiety-stress scale to assess mental distress. Latent profile analysis (LPA) was conducted based on BSMAS items. Network analysis (NA) was performed to determine the symptom-symptom interaction of PSMU and mental distress. RESULTS: (1) Social media users were divided into five subgroups including occasional users (10.6%, n = 1127), regular users (31.0%, n = 3309), high engagement low risk users (10.4%, n = 1115), at-risk users (38.1%, n = 4070), and problematic users (9.8%, n = 1047); (2) PSMU and mental distress varied markedly across subgroups. Problematic users had the most severe PSMU, depression, anxiety, and stress symptoms. High engagement users scored high on tolerance and salience criteria of PSMU but displayed little mental distress; (3) NA showed conflict and mood modification was the bridge symptoms across the network, while salience and tolerance exhibited weak association with mental distress. CONCLUSIONS: Salience and tolerance might not distinguish engaged users from problematic users. New frameworks and assessment tools focusing on the negative consequences of social media usage are needed.

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Authors
Peng, P., & Liao, Y.
Affiliations
Sir Run Run Shaw Hospital (CN)
Corresponding author
Liao, Yanhui
Venue
BMC Psychiatry
Published
2023-05-08
Volume
23
Issue
1
Pages
321-321
ISSN
1471-244X (ISSN-L)
OpenAlex
W4375955897
Cited by
114
References
53
Citations by year
2026: 51 · 2025: 37 · 2024: 17 · 2023: 9
FWCI
48.97
Type
journal article
Language
en
Open access
Locations
  • BMC Psychiatry (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
STI 2030—Major Projects - "Brain Science and Brain-like Research" Project (2022ZD0211200)
Topics
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Social Sciences › Psychology › Clinical Psychology › Sexuality, Behavior, and Technology
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
Keywords
social media addiction, salience, tolerance, mood modification, relapse, withdrawal, conflict, depression, anxiety, stress, Bergen Social Media Addiction Scale, symptom networks
MeSH terms
Anxiety, Anxiety Disorders, Depression, Humans, Mood Disorders, Social Media

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