Cardiovascular risk burden and disability: findings from the International Mobility in Aging Study (IMIAS)
Bibliographic record
Abstract
<sec><strong>BACKGROUND</strong> The association of cardiovascular risk burden with disability is unclear. We examined the association between trajectories of the Framingham general cardiovascular disease risk score (FGCRS) with the trajectories of limitations of physical function in older adults. </sec><sec><strong>METHODS</strong> A total of 1219 participants with no disabilities from the International Mobility in Aging Study (IMIAS) study who had up to three repeated measures of FGCRS between 2012–2016 and without a history of stroke or coronary heart disease at baseline and follow-up were included. FGCRS at baseline was assessed and categorized into tertiles. Physical function was evaluated with the Short Physical Performance Battery (SPPB). The data were analyzed using linear mixed-effects models. </sec><sec><strong>RESULTS</strong> At baseline, FGCRS ranged between 3–94 (mean score: 24 ± 15.8), participants were 32 (2.6%), 502 (41.2%) and 685 (56.2%) in lowest, middle, and highest tertiles, respectively. In the trajectories of limitations of physical function, the lowest FGCRS had no differences, while the middle and highest had a decrease in physical performance between 2012–2014 (<i>P</i> = 0.0001). Age, being female, living in Andes Mountains, having middle and highest FGCRS, higher alcohol consumption, being obese, lack of exercise and cognitive impairment increase the probability of disability (<i>P</i> < 0.05). Alternatively, living in more developed regions and having a higher educational level reduced the probability of disability during the follow-up time (<i>P</i> < 0.05). </sec><sec><strong>CONCLUSIONS</strong> Higher cardiovascular risk burden is associated with decreased physical performance, especially in gait. Results suggest SPPB may provide a measure of cardiovascular health in older adults. </sec>
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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 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".