Place and Posttraumatic Stress Disorder
Bibliographic record
Abstract
Research on traumatic stress has focused largely on individual risk factors. A more thorough understanding of risk factors may require investigation of the contribution of neighborhood context, such as the associations between perceived neighbourhood disorder and social cohesion with reported trauma exposure (yes/no) and posttraumatic stress disorder (PTSD) diagnostic status (past-year PTSD, remitted). To examine these associations, we used a cross-sectional analysis of an epidemiological catchment area survey (N = 2,433). Visible cues, indicating a lack of order and social control in the community (neighbourhood disorder), were associated with increased trauma exposure (adjusted odds ratio [AOR] = 1.21, 95% confidence interval [CI] [1.12, 1.31]). For trauma-exposed individuals, neighbourhood disorder was associated with greater odds of lifetime PTSD (AOR = 1.38, 95% CI [1.10, 1.75]), and the willingness of residents who realize common values to intervene for the common good (social cohesion), was associated with lower likelihood of past-year PTSD (AOR = 0.64, 95% CI [0.42, 0.97]). For participants with a lifetime diagnosis of PTSD (including past-year), increased social cohesion was associated with higher odds of remission (AOR = 2.59, 95% CI [1.55, 4.30]). Environmental contexts play a role in the development and progression of PTSD. As such, traumatic stress outcomes may be better understood through a perspective that integrates individual and contextual risk factors.
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 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) | 0.000 | 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) | 0.001 | 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".