Profiles of Suicidality and Clusters of Hungarian Adolescent Outpatients Suffering from Suicidal Behaviour
Bibliographic record
Abstract
BACKGROUND: The aim of the study was to reveal the background dimensions of suicidal behaviour (SB) and to identify clusters of Hungarian adolescent outpatients suffering from suicidality by means of the following correlates of SB: depression, inadequate conflict-solving methods, dysfunctional attitudes, maladaptive coping, help-seeking strategies and negative life events. SAMPLING AND METHODS: A self-report test battery was completed by every consecutive new adolescent outpatient from a representative patient pool of 5 local child psychiatric centres in Western Hungary over an 18-month period (n = 644). The questionnaires used were the pilot version of the Columbia Depression Scale, the Hungarian standard versions of the Beck Depression Inventory, the Ways of Coping Questionnaire, the Dysfunctional Attitude Scale and the Junior High Life Experiences Survey. A total of 110 adolescent outpatients (88 females, 22 males, mean age = 16.21 years, SD = 1.38) suffering from SB were included in the study. All diagnoses including SB were confirmed by the MINI Plus Mini International Neuropsychiatric Interview. K means clustering was used to compare variances of 19 variables to decide which ones are the major criteria for assigning subjects to clusters, and principal component analysis was utilized to identify background SB dimensions in the patient sample. RESULTS: The cluster analysis identified 3 homogenous clusters differentiating suicidal adolescents characteristically: 'stress-laden/medium depressive', 'low depressive/low achievement' and 'high depressive' cluster groups. While cluster analysis confirmed the role of the severity of depression only, principal component analysis explored the following 4 underlying profiles of SB: stress-laden, dysfunctional, maladaptive and depressive/risky factors. CONCLUSIONS: Although important coping qualities failed to register as major criteria in the development of separate groups of suicidal adolescent outpatients, distinct background profiles of SB among Hungarian adolescents were found covering the risk groups according to clinical experience. Future research is warranted to identify possible variation in the coping strategies among different adolescent suicidal samples.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".