Pre-Migration Trauma Exposure and Mental Health Functioning among Central American Migrants Arriving at the US Border
Bibliographic record
Abstract
In recent years, increasing numbers of families and individuals have arrived at the U.S. border from Central America, in particular, from Honduras, El Salvador, and Guatemala. This study sought to examine pre-migration trauma exposure and current mental health functioning of migrant families arriving at the U.S. border from the Northern Triangle region, with specific attention to the reasons offered for leaving their home country and the frequency with which migrant families appear to satisfy legal criteria for asylum We interviewed 234 adults in McAllen, Texas, using a structured interview and standardized questionnaires to assess exposure to trauma prior to migration, reasons for leaving their home country and symptoms of posttraumatic stress and depression. We found that 191 participants (83%) cited violence as a reason for fleeing their country, 119 individuals (69%) did not report the events to the police out of fear of gang-related retaliation or police corruption, and 90% (n = 204) reported being afraid to return to their native country. Based on self-report symptom checklists, 32% of the sample met diagnostic criteria for PTSD (n = 51), 24% for depression (n = 36), and 17% for both disorders (n = 25). Examining these data against the criteria for asylum in the U.S., we found that 70% of the overall sample (n = 159) met criteria for asylum, including 80% of those from El Salvador, 74% from Honduras, and 41% from Guatemala. These findings suggest that the majority of Central American migrants arriving at the U.S. border have significant mental health symptoms in response to violence and persecution, and warrant careful consideration for asylum status.
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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 | 0.000 | 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 | 0.002 | 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 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".