Exposure to violence and cardiovascular and neuroendocrine measures in adolescents
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
BACKGROUND: Exposure to violence has clear, detrimental psychological consequences, but the physiological effects are less well understood. PURPOSE: This study examined the influence of exposure to violence on biological basal and reactivity measures in adolescents. METHODS: There were 115 high school student participants. Systolic and diastolic blood pressure (SBP, DBP), heart rate (HR), HR variability (HRV), and cortisol levels were recorded during baseline and a laboratory stressor. The Exposure to Violence interview was administered and assessed two dimensions: total observed violence and total personally experienced violence. These were then divided into component parts: lifetime frequency, proximity, and severity. RESULTS: Greater total experienced violence was associated with increased basal SBP (r = .19, p < .05) and decreased acute stress reactivity in terms of SBP (beta = -.13, p = .05), HR (beta = -.21, p = .00), and HRV (beta = .13, p = .05). Lifetime frequency of experienced violence was associated with higher basal DBP (r = .33, p < .05), HR (r = .33, p < .05), and cortisol (r = .53, p < .00), and decreased SBP (beta = -.27, p < .05) and DBP (beta = -.31, p < .05) reactivity. Exposure to violence is associated with increased biological basal levels in adolescents, supporting allostatic-load research and decreased cardiovascular reactivity, supporting the inoculation effect. CONCLUSIONS: The findings illustrate that being a victim of violence has more pervasive biological consequences than witnessing violence and that the accumulation of stressful experiences has the greatest effect on biological markers.
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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) | 0.000 | 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