A Longitudinal Study on Multidimensional Resilience to Physical and Psychosocial Stress in Elderly Mexicans
Bibliographic record
Abstract
Objectives: To identify trajectories of depression and daily disability in the context of serious falls and widowhood and to predict those trajectories before the events occurred. Methods: Longitudinal data were used from the Mexican Health and Aging Study. Trajectories were estimated using latent class growth analysis. Internal and socio-ecological resources were analyzed as predictors of the trajectories. Results: Unfavorable (worsening of symptoms and chronic high symptoms) and favorable (improvement of symptoms and stable low symptoms (resistance)) trajectories were identified. Favorable trajectories were more likely for daily disability. Persons who showed resistance in depression also tended to show resistance in daily disability. Net worth, cognition, and subjective well-being were early predictors for most trajectories. Discussion: Besides resistance, individuals rather show different co-occurring trajectories in the studied outcomes. While some factors could be identified that lead to favorable trajectories in both stressful contexts, the study also shows the necessity for context-specific research and praxis.
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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 | 0.000 | 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 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".