The prevalence and clinical correlates of adverse childhood experiences in a cross-sectional study of primary care patients with cardiometabolic disease or risk factors
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Adverse childhood experiences (ACEs) are associated with risk of poor adult health, including cardiometabolic diseases. Little is known about the correlates of ACEs for adults who have already developed cardiometabolic diseases, or who are at elevated risk. METHODS: Adult primary care patients with cardiometabolic disease (hypertension, diabetes, stroke, angina, myocardial infarction, coronary artery bypass graft, angioplasty) or with a risk factor (obesity, smoking, high cholesterol, family history) were surveyed regarding ACEs, psychological distress, attachment insecurity, quality of life, behavior change goals, stages of change, and attitudes toward potential prevention strategies. RESULTS: Of 387 eligible patients, 74% completed the ACEs survey. Exposure to ACEs was reported by 174 participants (61%). Controlling for age, gender, relationship status and income, number of ACEs was associated with psychological distress (F = 3.7, p = .01), quality of life (F = 8.9, p = .001), attachment anxiety (F = 3.4, p = .02), drinking alcohol most days (F = 4.0, p = .008) and smoking (F = 2.7, p = .04). Greater ACE exposure was associated with less likelihood of selecting diet or physical activity as a behavior change goal (linear-by-linear association p = .009). Stage of change was not associated with ACEs. ACEs exposure was not related to preferred resources for behavior change. CONCLUSIONS: ACEs are common among patients at cardiometabolic risk and are related to quality of life, psychological factors that influence cardiometabolic outcomes and behavior change goals. ACEs should be taken into account when managing cardiometabolic risk in family medicine.
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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) | 0.001 | 0.001 |
| 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