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Record W4405863775 · doi:10.1080/13548506.2024.2439132

Peer victimization and non-suicidal self-injury among depressed adolescents: a moderated mediation model

2024· article· en· W4405863775 on OpenAlexaff
Yao Xu, Lan Hong, Jianan Xu, Jie Liu, Shiyao Ma, Siyu Tong, J.-S. Zhang, Chengqian Jin, Lijun Wang, Mengai Wu, Hong Chen, Tiansheng Zheng, Ke Zhao

Bibliographic record

VenuePsychology Health & Medicine · 2024
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
Fundersnot available
KeywordsClinical psychologyPsychologyPeer victimizationMediationDepression (economics)Suicidal ideationInjury preventionSuicide preventionPoison controlPsychiatryBorderline personality disorderPeer groupMedicineDevelopmental psychologyMedical emergency

Abstract

fetched live from OpenAlex

Non-suicidal self-injury (NSSI) among teenagers with depression is a major and pervasive issue. Previous studies have established peer victimization as a risk factor for non-suicidal self-injury. However, little is known about how it influences teenagers to harm themselves non-suicidally. A total of 740 depressive outpatients aged 12–18 years with non-suicidal self-injury were selected. General demographic information was collected using the self-designed scale, and relevant information was collected using the Functional Assessment of Self-Mutilation, the Patient Health Questionnaire-9, the Multidimensional Peer Victimization Scale, and the Borderline Personality Features Scale for Children. After controlling for age and sex, it was discovered that depressive symptoms partially mediated the association between peer victimization and non-suicidal self-injury (p < 0.001). The mediating influence of depressive symptoms was modulated by borderline personality features. Half of the mediating effect is the moderating influence (p = 0.002). The moderated mediation model constructed in this study reveals the internal mechanism between adolescent peer victimization and non-suicidal self-injury, which is of great significance for the prevention and intervention of adolescent non-suicidal self-injury.

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 score0.582
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.027
GPT teacher head0.385
Teacher spread0.358 · 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

Citations3
Published2024
Admission routes1
Has abstractyes

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