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Record W4392169222 · doi:10.1089/cyber.2023.0386

Problematic Social Media Use in Young Adults: A Mixed Serial–Parallel Mediation Model Involving Alexithymia, Defense Mechanisms, and Fear of Missing Out

2024· article· en· W4392169222 on OpenAlexaboutno aff
Alessio Gori, Eleonora Topino, Francesca Gioia, Silvia Casale

Bibliographic record

VenueCyberpsychology Behavior and Social Networking · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaMediationPsychologyClinical psychologyDevelopmental psychology

Abstract

fetched live from OpenAlex

Problematic social media use (PSMU) can have profound and detrimental effects across various domains of life. As a result, scientific investigations into the risk factors associated with this phenomenon can hold substantial practical implications within the clinical and preventive realms. Consistently with this framework, this study aimed to examine the relationship between certain variables and PSMU, with a specific focus on alexithymia, defense mechanisms, and fear of missing out (FoMO). A sample of 340 young adults ( M age = 26.42 years; SD = 3.689) completed an online survey, including the Bergen Social Media Addiction Scale, FoMO scale, 40-Item Defense Style Questionnaire, and 20-Item Toronto Alexithymia Scale. Results showed a statistically significant mixed serial–parallel mediation model. A significant total effect in the association between alexithymia and FoMO emerged. Furthermore, defense mechanisms and FoMO significantly and totally mediated this relationship. These findings have the potential to provide valuable insights in the field of clinical research on PSMU, and can offer practical information for enhancing clinical practice.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.691
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.045
GPT teacher head0.321
Teacher spread0.275 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2024
Admission routes1
Has abstractyes

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