Childhood Attachment and Adolescent Suicide: A Stepwise Discriminant Analysis in a Case-Comparison Study
Bibliographic record
Abstract
The present study examined whether early attachment histories differentiated between suicidal and nonsuicidal adolescents. Employing a case-comparison design, community, nonsuicidal adolescents (comparison group; n = 35; mean age = 14.2, SD = 1.9) were compared to clinical adolescents (case group; n = 17; mean age = 15.8, SD = 1.01) on their attachment and developmental histories. Participants were recruited from an inpatient psychiatric assessment and treatment unit for adolescents at a major university hospital or the community. All participants were administered the Youth Self Report, Parental Bonding Instrument and the Adolescent Attachment Survey. A stepwise discriminant analyses resulted in a single function (Wilk's Lambda = .235, p<.001) discriminating between the suicidal and nonsuicidal adolescents on attachment variables (canonical r = .88), particularly attachment to mother (Cohen's d = 3.0). The discriminant function resulted in an overall correct classification rate of 94.23% between the case and comparison groups. Insecure attachment (especially to mother) in childhood, particularly affectionless control and lack of care, is related to suicidality in adolescence.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".