Dissociation as a Transdiagnostic Indicator of Self‐Injurious Behavior and Suicide Attempts: A Focus on Posttraumatic Stress Disorder and Borderline Personality Disorder
Bibliographic record
Abstract
Dissociative symptoms and suicidality are transdiagnostic features of posttraumatic stress disorder (PTSD) and borderline personality disorder (BPD). The primary objective of this study was to examine associations between dissociation (i.e., depersonalization and derealization) and suicidality (i.e., self-harm and suicide attempts) among individuals with PTSD and BPD. We analyzed data from the 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions (NESARC-III; N = 36,309). The Alcohol Use Disorder and Associated Disabilities Interview Schedule for DSM-5 was used to assess lifetime PTSD and BPD. Estimated rates of self-harm among individuals who endorsed dissociation were 15.5%-26.2% for those with PTSD and 13.7%-23.5% for those with BPD, and estimates of suicide attempts among individuals who endorsed dissociation were 34.5%-38.1% for those with PTSD and 28.3%-33.1% for those with BPD. Multiple logistic regressions were conducted to examine the associations between dissociation (derealization, depersonalization, and both) and both self-harm and suicide attempts among respondents with PTSD and BPD. The results indicated that dissociation was associated with self-harm and suicide attempts, especially among individuals with BPD, aORs = 1.39-2.66; however, this association may be driven in part by a third variable, such as other symptoms of PTSD or BPD (e.g., mood disturbance, PTSD or BPD symptom severity). These results may inform risk assessments and targeted interventions for vulnerable individuals with PTSD, BPD, or both aimed at mitigating the risk of self-harm and suicide.
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 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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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".