Investigating Stress Sensitization and Steeling for Early-Life Adversity and Recent Stressful Life Experiences: Health and Illness in Older Adulthood
Bibliographic record
Abstract
Early-life adversity (ELA) and recent stress experiences are relevant explanatory factors in the understanding of health differences across the life span. However, their particular role in explaining the vast health heterogeneity in older adulthood has yet to be defined. To address this gap, this study examined (a) the health of older individuals with differing levels of ELA and recent stressful experiences; and (b) the type (i.e., linear, curvilinear) of the expected stress-health relationships. Longitudinal quantitative data were collected on health, ELA, and stressful life experiences of the previous 21 months in N = 216 participants ( M age = 69.8 years, 45.8% female). Findings support linear (rather than curvilinear) stress-health relationships for ELA and recent stress with physical and mental health. Furthermore, ELA significantly moderated the relationship between recent stress and physical illnesses. As the detrimental health impact of ELA can still be detected in older adulthood, ELA may be critical for understanding later life health heterogeneity.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".