Differentiating the impact of episodic and chronic stressors on hypothalamic-pituitary-adrenocortical axis regulation in young women.
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
OBJECTIVE: The goal of this study was to examine the impact of episodic stress and chronic interpersonal stress on indices of HPA regulation. To explore the potential downstream consequences of altered HPA dynamics, the authors also assessed indicators of metabolic control and systemic inflammation. DESIGN: One hundred four medically healthy women between the ages of 15 and 19 participated. Following an in-depth interview of life stress, a sample of blood was drawn through antecubital venipuncture. Over the course of the next 2 days, participants gathered salivary cortisol samples. MAIN OUTCOME MEASURES: Cortisol morning response, cortisol daily output, glucocorticoid receptor (GR) mRNA, C-reactive protein (CRP), insulin, and glucose. RESULTS: The simple presence of episodic stress or chronic interpersonal stress was not reliably associated with cortisol output, GR mRNA, insulin, or glucose. When women were exposed to an episodic stressor in the midst of chronic stress they showed increased cortisol output and reduced expression of GR mRNA. By contrast, when women had low levels of chronic stress, episodic events were associated with decreased cortisol output and increased GR mRNA. Episodic and chronic stress also interacted to predict CRP, but not insulin or glucose. CONCLUSIONS: The impact of episodic stress is accentuated in the midst of chronic interpersonal stress and diminished in its absence. Simultaneous exposure to episodic and chronic stress may create wear and tear on the body, whereas exposure to episodic stress in the context of a supportive environment may toughen the body, protecting it against subsequent stressors.
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 | 0.000 |
| 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