Elements of Affective Instability Associated with Suicidal Behaviour in Patients with Borderline Personality Disorder
Bibliographic record
Abstract
OBJECTIVE: To identify elements of affective instability associated with an increased likelihood of impulsivity and then to determine whether these elements characterize patients with borderline personality disorder (BPD) and suicidal behaviour. METHOD: We prospectively followed 82 individuals with BPD and a history of recurrent suicidal behaviour who recorded their current mood states, impulsivity, suicide ideation, and environmental stressors (triggers) 6 times daily over 3 weeks. RESULTS: Our results suggested that mood amplitude was correlated with impulsivity and that 4 subgroups defined by mean scores on mood amplitude and negative mood intensity significantly differed in the number of suicidal behaviours reported in the last year. CONCLUSIONS: A subgroup of BPD patients appears to be at elevated risk for suicidal behaviour based on high mood amplitude and mean negative mood intensity. Clinicians might target this group for monitoring and interventions to reduce the likelihood of suicidal behaviour.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 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".