Cardiovascular health and physical activity among individuals with spinal cord injury
Bibliographic record
Abstract
An increased prevalence and earlier onset of cardiovascular disease (CVD) occurs in persons with spinal cord injury (SCI); the higher risk may be explained by novel CVD risk factors of aerobic capacity and peripheral vascular structure and function. Physical inactivity likely contributes to the basis of increased CVD risk after SCI, however evidence on the effectiveness of exercise programs in attenuating CVD risk in SCI is insufficient. The present thesis evaluated novel CVD risk factors in a cohort of individuals with chronic SCI, and examined the effects of a single bout of exercise and exercise training on CVD risk. The first study demonstrated dramatic decreases in body composition, aerobic capacity, and sublesional endothelial function via flow-mediated dilation (FMD) in adults with chronic SCI vs. able-bodied (AB) controls. The second, third, and fourth studies assessed the role of shear rate (SR) patterns on FMD. Elevated retrograde SR had a detrimental effect on brachial and superficial-femoral-artery (SFA) FMD in both SCI and AB, but elevated anterograde SR had a favorable effect on SFA FMD in AB only. The fifth study demonstrated that sublesional vasculature does not respond to a 4-month combination aerobic and resistance-training program using the recently released physical activity guidelines for adults with SCI (PAG). The results of this thesis highlight the multilayered regulation of sublesional vasculature, and that it may respond differently to a single bout of exercise and exercise training when compared to an AB population. This information is crucial when designing strategies to combat impaired vascular structure and function after SCI. The results from this thesis also indicate the potential for the PAG to improve aspects of anthropometrics, body composition, and carotid vascular health in adults with SCI. Further investigations are necessary to delineate the effects of SCI itself, and of exercise, on CVD risk in this population.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".