Impact of resilience on health in older adults: a cross-sectional analysis from the International Mobility in Aging Study (IMIAS)
Bibliographic record
Abstract
OBJECTIVES: Self-rated health (SRH) is a predictor of objective health measures, including mortality and morbidity. The link between resilience and SRH among the elderly is unclear. We aim to examine whether resilience aligns with SRH and, secondarily, whether resilience can override the negative health consequences of adverse childhood experiences (ACE). DESIGN AND SETTING: We use 2012, 2014 and 2016 data from the International Mobility in Aging Study, a longitudinal cohort study that collects survey and biophysical data from Albania, Brazil, Colombia and Canada. The main independent variables were resilience and ACE (social and economic). PARTICIPANTS: Community-dwelling 65-74 year olds (in 2012) were recruited through primary care registers. The sample size of the study was 1506. PRIMARY OUTCOME: The outcome measure was SRH. RESULTS: We found that sex, site, economic ACE, current income sufficiency, current depressive symptoms, current physical function and current resilience were associated with current SRH. In regression analyses, we showed that the association between ACE and SRH disappeared once factors such as sex, site, income, depression, physical health and resilience were considered. CONCLUSIONS: The association between resilience and health poses a compelling argument for building resilience throughout life.
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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 | 0.002 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".