Comparing immediate‐ and delayed‐onset posttraumatic stress disorder: Results from the National Epidemiologic Survey on Alcohol and Related Conditions–III (NESARC‐III)
Bibliographic record
Abstract
Delayed-onset posttraumatic stress disorder (PTSD) is defined as a period of 6 months or more between trauma exposure and episode onset. Due to the limited research and lack of epidemiological studies on this form of the disorder, we investigated its prevalence, clinical features, and psychiatric comorbidities in a nationally representative sample of U.S. adults. Using National Epidemiologic Survey on Alcohol and Related Conditions-III (NESARC-III) data collected from individuals who met the DSM-5 criteria for PTSD (N = 1,980), we compared delayed- and immediate-onset PTSD with regard to demographic and clinical variables, including comorbidity with psychiatric and substance use disorder (SUD) diagnoses. The overall prevalence of delayed-onset PTSD was 11.0%. Respondents with delayed-onset PTSD were more likely than those with immediate-onset PTSD to report active military combat exposure, more physical and emotional difficulties, and higher levels of pain; these individuals were also more likely to be divorced and less likely to meet the diagnostic criteria for select SUDs. After adjusting for confounding variables, we found a decreased risk of delayed-onset PTSD among individuals with hallucinogen use disorder, OR = 0.30; 95% CI [0.11, 0.87], d = 0.5. We found no significant associations between PTSD onset status and any other SUD, including alcohol use disorder, after adjusting for covariates. Further longitudinal research is required to investigate the temporal associations between PTSD onset and its clinical characteristics and comorbidities, as this could have implications on disorder progression and treatment approaches.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".