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Record W4280565675 · doi:10.1177/02724316221088754

The Impact of Impulsivity and Academic Achievement on Suicidal Ideation in Adolescents: A Cross-Lagged Panel Analysis

2022· article· en· W4280565675 on OpenAlexaff
Chenxu Wang, Yang Yang, Zhehao Jiang, Xiaoxiao Niu, Yu Liu, Xuji Jia, Lin Lin, Yunyun Zhang

Bibliographic record

VenueThe Journal of Early Adolescence · 2022
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsImpulsivitySuicidal ideationIdeationPsychologyClinical psychologyIntervention (counseling)Academic achievementSuicide preventionPoison controlPsychiatryMedicineDevelopmental psychologyMedical emergency

Abstract

fetched live from OpenAlex

This study used a cross-lagged panel analysis to explore the effect of impulsivity and academic achievement on the development of suicidal ideation in adolescents using three-time assessments with an interval of 6 months. A total of 211 adolescents (104 boys, 107 girls with a mean age of 13.62 ± 0.68 years in the third assessment) completed the Barratt Impulsivity Scale, the Monthly Exam, and the Suicidal Ideation/Suicidal Attempt Questionnaire to evaluate the level of impulsivity, academic achievement, and suicidal ideation, respectively. Our results showed that impulsivity was a primary risk factor of suicidal ideation in adolescents during their early stage in junior high school, especially for girls, while academic achievement had an increasing effect on suicidal ideation as adolescents progressed to the higher grades in junior high school, suggesting that taking appropriate intervention measures at specific stages might be critical to prevent suicidal ideation in 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)0.005
metaresearch head score (Gemma)0.006
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 score0.014
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.368
Teacher spread0.323 · 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
Published2022
Admission routes1
Has abstractyes

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