Trajectories of Physical Function Decline and Psychological Functioning: The Quebec Longitudinal Study on Nutrition and Successful Aging (NuAge)
Bibliographic record
Abstract
BACKGROUND: Decline of physical function with age is associated with substantial health consequences. Physical and psychological functioning is linked, but the temporal nature of this association remains unclear. METHODS: Three-year follow-up data from men and women (n = 1,741), aged 68-82 years, in the longitudinal study on nutrition and successful aging (NuAge; Québec, Canada) were used. Growth curve modeling was performed to examine trajectories of a global physical performance score across time as conditioned by cognition and depression. RESULTS: Significant decline in physical function was observed (p < .0001). Rate of decline in physical performance score was accelerated in the older participants (>77 years; age(2): p < .01) but not affected by slight decline in cognition or depression. Yet, people with lower cognition level and more depressive symptoms show lower physical capacity throughout the entire follow-up period (p < .0001). CONCLUSIONS: Physical function significantly declined over 3 years, in particular in the oldest group. A subtle decline in psychological health paralleled decline in physical function but did not accelerate it.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".