Short-Term Cardiovascular Compensatory Responses to Varying Levels of Orthostatic Stress During Active Standing in Older Adults
Bibliographic record
Abstract
Background: The cardiovascular system of older adults is significantly impacted by aging, contributing to blood pressure (BP) dysregulation, particularly during postural transitions. This study compared the short-term cardiovascular compensatory responses of younger adults (YA) and older adults (OA) during sit-to-stand and lie-to-stand. Methods: Participants underwent two active standing orthostatic stress tests, involving 5 min of sitting or 10 min of lying, followed by up to 7 min of standing. Beat-to-beat cardiovascular parameters were assessed using a Finometer (Finapres Medical Systems). Systolic (SBP), diastolic (DBP), mean arterial pressure (MAP), cardiac output (CO), stroke volume (SV), systemic vascular resistance (SVR), and HR were measured at baseline, immediately on standing, and throughout four specific phases after standing: phase 1 (0–30 s), phase 2 (30–60 s), phase 3 (60–80 s), and phase 4 (300–420 s). CO-SVR matching was evaluated to assess BP regulation timing. Results: Compared to YA, OA exhibited higher SBP, DBP, MAP, and SVR but lower HR, CO, and SV at baseline. Immediately on standing, OA experienced a greater drop in SBP, DBP, MAP, and SVR, blunted HR, reduced CO, and higher SV. The short-term compensatory responses were delayed (30–60 s), particularly in lie-to-stand, due to a transient CO and SVR mismatch observed in phase 1 and subsequent BP stabilization from phases 2–4. Conclusions: OA exhibited short-term compensatory cardiovascular dysregulation, particularly during the transition from a lying to a standing position.
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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 | 0.000 | 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) | 0.001 | 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".