MétaCan
Menu
Back to cohort
Record W7116985416 · doi:10.1186/s12888-025-07701-7

Non-suicidal self-injury links with multidimensional cognitive dysfunctions in adolescents with depression

2025· article· en· W7116985416 on OpenAlexaboutno aff
Shina Li, Xiuling Tian, Yihao Zhang, Ying Yang, Huijing Sun, Jiahui Chen, Defeng Xu, Feiyu Xu, Xingxing Zhu, D. Qiao

Bibliographic record

VenueBMC Psychiatry · 2025
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsnot available
FundersNatural Science Foundation of Shandong ProvincePostdoctoral Innovation Project of Shandong ProvinceNational Natural Science Foundation of China
KeywordsCognitionDepression (economics)MEDLINEPsychometricsMajor depressive disorder

Abstract

fetched live from OpenAlex

BACKGROUND: Non-suicidal self-injury (NSSI) has high prevalence among adolescents with mood disorders and is accompanied by cognitive impairments. Most existing studies have examined their impairments on single cognitive domains. It remains unclear which cognitive deficits are associated with adolescent NSSI and its functions and addictive features, from a multidimensional perspective. METHODS: A total of 161 adolescents diagnosed with first-episode major depressive disorder (MDD) and 137 healthy controls were recruited between June 2020 and December 2024. Participants were divided into three groups: adolescents with MDD and NSSI (MDD + NSSI, n = 84, age = 15.47 ± 1.59), those with MDD and without NSSI (MDD-NSSI, n = 77, age = 16.11 ± 2.16), and healthy controls (HCs, n = 137, age = 15.92 ± 3.13). NSSI behavior and its four common functions (internal emotion regulation, external emotion regulation, social influence, and sensation seeking) as well as the addiction feature, were assessed using the Ottawa Self-injury Inventory. Cognitive domains such as emotion recognition, cognitive control, working memory, and reward processing were assessed using an in-house Cognitive Assessment Battery. Data were analyzed via ANOVA, logistic regression, and multiple linear regression. RESULTS: Both the MDD + NSSI and MDD-NSSI groups showed significantly greater cognitive dysfunctions compared to the HCs. Logistic regression models indicated that cognitive domains such as memory, cognitive control, reward processing, delay discounting, and time perception were significantly associated with the presence of NSSI among adolescents with MDD. Multiple linear regression analyses further revealed that emotion recognition, working memory, cognitive control, and reward processing were significantly related to NSSI functions and the addictive features. CONCLUSIONS: Our results showed that NSSI behaviors, its functions, and addictive features are all associated with multidimensional cognitive dysfunctions. These findings highlight the clinical relevance of implementing thorough, multidomain cognitive evaluations in adolescents with NSSI. CLINICAL TRIAL NUMBER: Not applicable.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.014
Threshold uncertainty score0.982

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.011
GPT teacher head0.291
Teacher spread0.280 · 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.

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

Citations3
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueBMC PsychiatrySame topicSuicide and Self-Harm StudiesFrench-language works237,207