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Record W4410932292 · doi:10.1002/cpp.70094

The Role of Alexithymia, Borderline Personality Traits and Resilience in Suicidal and Nonsuicidal Self‐Harm Behaviours Among Adolescents With Major Depressive Disorder

2025· article· en· W4410932292 on OpenAlexaboutno aff
İbrahim Adak, Oğuz Bilal Karakuş, Ozalp Ekıncı, Omar Alomarı, Alper Çalışkan, Elif Burcu Bağçeli, İpek Süzer Gamlı

Bibliographic record

VenueClinical Psychology & Psychotherapy · 2025
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyClinical psychologyPsychiatryMajor depressive disorderBorderline personality disorderSuicidal ideationAlexithymiaAutism spectrum disorderDepression (economics)Suicide preventionPoison controlSuicide attemptPersonality disordersPersonalityAutismMedicineMedical emergency

Abstract

fetched live from OpenAlex

BACKGROUND: Depression is a significant health issue among adolescents, often associated with decreased academic performance, self-harm and increased suicide attempts. Suicidal and self-harm behaviours are particularly concerning and are influenced by multiple factors beyond depression. This study aims to examine the factors contributing to suicidal behaviour and nonsuicidal self-harm in adolescents diagnosed with major depressive disorder (MDD). MATERIALS AND METHODS: This prospective study included adolescent patients aged 12-18 years diagnosed with MDD according to DSM-5 criteria, referred to our Child and Adolescent Psychiatry Clinic between 1 February 2023 and 1 August 2023. Participants with intellectual disability, autism spectrum disorder, schizophrenia or other psychotic disorders were excluded. Data collection tools included the Sociodemographic Data Form, Inventory of Statements About Self-Injury, Child Depression Inventory, Borderline Personality Inventory (BPI), Toronto Alexithymia Scale and Child and Youth Resilience Measure-12 (CYRM-12). Data were analysed using SPSS25.0. RESULTS: Out of the 185 participants initially screened, 153 completed the study and were evenly divided into three groups: those who had never engaged in self-harm or attempted suicide (n = 51), those who had engaged in self-harm at least once but had not attempted suicide (n = 51) and those who had both engaged in self-harm and attempted suicide (n = 51). There were no significant differences in sociodemographic variables among the groups. Cutting was identified as the most common method of self-harm (84.3%), followed by scratching (72.5%). In terms of resilience, measured by the CYRM-12, the group with no history of self-harm or suicide attempts had significantly higher scores (M = 36.55) than the self-harm only group (M = 32.83) and the self-harm plus suicide attempt group (M = 31.03) (p < 0.001). For the BPI, the highest scores were observed in the group that had both engaged in self-harm and attempted suicide (M = 29.28), followed by the self-harm only group (M = 24.91) and the no self-harm or suicide group (M = 19.26) (p < 0.001). CONCLUSION: Adolescents with MDD who exhibit suicidal or self-harm behaviours have higher borderline personality traits and alexithymia levels, and lower resilience compared to their counterparts without such behaviours. These findings suggest the importance of early identification and intervention targeting these factors to mitigate the risk of self-harm and suicidal behaviour in depressed adolescents.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.395
Teacher spread0.368 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2025
Admission routes1
Has abstractyes

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