Resting Beat-to-Beat Blood Pressure Variability in Young, Healthy, Non-Hispanic Black Females
Bibliographic record
Abstract
Background: Non-Hispanic Black (BL) individuals are at greater risk for cardiovascular disease and hypertension compared to other racial groups. Beat-to-beat blood pressure variability (BPV) is a known predictor of adverse cardiovascular outcomes. Our laboratory recently reported an augmented resting beat-to-beat BPV in non-Hispanic BL males compared to their White (WH) male counterparts. However, racial differences in beat-to-beat BPV between non-Hispanic BL and non-Hispanic WH females are unknown. Therefore, we tested the hypothesis that young, healthy, non-Hispanic BL females have elevated resting beat-to-beat BPV compared to healthy age and body mass index matched WH females. Methods: We studied 12 young healthy non-Hispanic BL females (20 ± 2 years, 25.2 ± 4 kg/m2, mean ± standard deviation) and 12 young healthy non-Hispanic WH females (22 ± 3 years, 22.7 ± 3 kg/m2; P = 0.13 and P = 0.10, respectively). Beat-to-beat arterial blood pressure (finger photoplethysmography) was continuously recorded during ten minutes of supine rest. Mean, standard deviation (SD), range, coeffcient of variation, and average real variability (ARV) were calculated for systolic blood pressure (SBP), diastolic blood pressure (DBP), and mean arterial pressure (MAP). Results: Resting absolute SBP (BL: 113 ± 12 mmHg; WH: 112 ± 7 mmHg; P = 0.98), DBP (BL: 69 ± 7 mmHg; WH: 66 ± 5 mmHg; P = 0.22), and MAP (BL: 83 ± 7 mmHg; WH: 81 ± 4 mmHg; P = 0.48) were not different between groups. Likewise, beat-to-beat SBP SD (BL: 3.5 ± 0.78 mmHg; WH: 4.0 ± 1.16 mmHg; P = 0.21), range (BL: 21 ± 5 mmHg; WH: 24 ± 6 mmHg; P = 0.26), coeffcient of variation (BL: 3.01 ± 0.82%; WH: 3.56 ± 0.96%; P = 0.20), and ARV (BL: 2.02 ± 0.46; WH: 2.26 ± 0.6; P = 0.27) were not different between BL and WH females. There were also no differences in any of the beat-to-beat BPV measures for DBP or MAP between BL and WH females (all P > 0.05). Conclusion: In contrast to our hypothesis and previous work in non-Hispanic BL males, these preliminary data suggest that beat-to-beat BPV is not different between non-Hispanic BL and WH females. This work was supported by the College of Nursing and Health Innovation. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.
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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".