Endothelial dysfunction and negative emotions in adolescent girls
Bibliographic record
Abstract
BACKGROUND: Endothelial dysfunction predicts adult cardiovascular disorder and may be associated with negative emotions in adolescents. This study was conducted to determine if hopelessness, hostility, and depressive, anxiety, or conduct disorders were associated with compromised endothelial function and whether those associations were mediated by health risk behaviors. METHODS: Endothelial function, assessed through brachial artery reactive hyperemia, was measured in a psychopathology enriched sample of 60 15-18-year-old girls. The correlations between hopelessness, hostility, and depressive, anxiety, or conduct disorders and the percent change in forearm vascular resistance (PCFVR) were measured. Possible mediation effects of health risk behaviors were tested. RESULTS: Hopelessness was negatively associated with PCFVR, controlling for race and body mass index. Conduct disorder without any anxiety disorder was associated with better endothelial function. The other negative emotions were not associated with PCFVR. Risky health behaviors were associated with conduct disorder and hopelessness, but not with PCFVR, so there was no evidence of mediation. CONCLUSION: The main finding was that hopelessness in adolescent girls was associated with endothelial dysfunction. This may indicate that when present, hopelessness places a girl at risk for later cardiovascular disease, whether she has a psychiatric disorder or not. Possible mechanisms for this finding are examined and the surprising finding that conduct disorder is associated with better endothelial function is also discussed. Suggestions for future research are presented.
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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 | 0.001 | 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 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".