Global executive dysfunction, not core executive skills, mediate the relationship between adversity exposure and later health in undergraduate students
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
Executive function (EF) represents a set of higher-order cognitive skills that permit engagement in goal-oriented behavior. EF deficits are associated with wide-ranging negative health-related consequences, including psychopathology and engagement in risky health-related behaviors. Because neural substrates supporting EF develop over a protracted period of time, an extended window of vulnerability exists whereby environmental stressors can interrupt development, culminating in lifelong EF deficits. We capitalized on this understanding of the vulnerability of EF-relevant neural structures to elucidate the link between adverse childhood experiences (ACEs) and early mortality. ACEs are highly prevalent in the general population and exert negative downstream implications for many health-related behaviors, ultimately hastening mortality. However, underlying mechanisms linking ACEs with poor health remain less understood. To address this gap in the literature, we assessed ACE history and health factors, including psychopathology and risky alcohol use behaviors in undergraduates. We further assessed EF using performance-based and rating scale measures. Results revealed that some measures of EF mediated the relationship between ACEs and current mental health, but EF did not mediate the association between ACEs and engagement in risky health-related behaviors. These results partially support a neurodevelopmental model of ACE exposure vis-à-vis future health, focusing on the role of EF.
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.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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