Types and Number of Traumas Associated With Suicidal Ideation and Suicide Attempts in PTSD: Findings From a U.S. Nationally Representative Sample
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Posttraumatic stress disorder (PTSD) is associated with suicidal ideation and suicide attempt; however, research has largely focused on specific samples and a limited range of traumas. We examined suicidal ideation and suicide attempt relating to 27 traumas within a nationally representative U.S. sample of individuals with PTSD. Data were from the National Epidemiologic Survey of Alcohol and Related Conditions (N = 34,653). Participants were assessed for lifetime PTSD and trauma history, suicidal ideation, and suicide attempt. We calculated the proportion of individuals reporting suicidal ideation or suicide attempt for each trauma and for the number of unique traumas experienced. Most traumas were associated with greater suicidal ideation and suicide attempt in individuals with PTSD compared to individuals with no lifetime trauma or with lifetime trauma but no PTSD. Childhood maltreatment, assaultive violence, and peacekeeping traumas had the highest rates of suicidal ideation (49.1% to 51.9%) and suicide attempt (22.8% to 36.9%). There was substantial variation in rates of suicidal ideation and suicide attempt for war and terrorism-related traumas. Multiple traumas increased suicidality, such that each additional trauma was associated with an increase of 20.1% in rate of suicidal ideation and 38.9% in rate of suicide attempts. Rates of suicidal ideation and suicide attempts varied markedly by trauma type and number of traumas, and these factors may be important in assessing and managing suicidality in individuals with PTSD.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 it