Health stresses and depressive symptomatology in the elderly: The importance of health engagement control strategies.
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
The study presents cross-sectional (N = 127) and longitudinal (n = 111) analyses examining relations between health engagement control strategies (HECSs), depressive symptoms, and health stresses in elderly individuals. HECS was measured as people's behavioral and cognitive investments toward attaining health goals. HECS was related to low levels of depressive symptoms, particularly among people experiencing acute physical symptoms. Moreover, HECS predicted reduction of depressive symptoms over time, and depressive symptomatology predicted negative change in HECS. The findings show that active investments of HECSs significantly moderate the negative affective consequences of health threats. Individuals who are characterized by low levels of HECS and high levels of depressive symptoms may be at increased risk of accelerated decline in their physical and mental health.
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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