Relationship Between Orthostatic Cardiovascular Responses and Anthropometric Indices in Apparently Healthy Young Female Adults
Bibliographic record
Abstract
Background Understanding the relationship between orthostatic cardiovascular responses and anthropometric indices can provide insight into cardiovascular regulation, autonomic function, and disease risk stratification. Orthostatic responses like changes in systolic blood pressure, diastolic blood pressure, and pulse rate can be potentially influenced by body composition, height, weight, and body mass index (BMI). These anthropometric factors play a crucial role in maintaining hemodynamic stability during postural changes due to their complex interaction in modifying factors like systemic vascular resistance, cardiac output, and autonomic control. Alteration in this systemic interaction can be reflected by a change in the shock index (SI) and double product (DP), serving as surrogate markers for cardiovascular efficiency and myocardial workload, respectively. This study aims to investigate how the orthostatic response and the anthropometric indices relationship can be used to assess an individual's vulnerability to dysautonomia, hypotension, or cardiovascular stress during orthostasis. Materials and methods Thirty healthy female individuals, averaging 19.5 years, who satisfied the inclusion criteria were selected for the study. Body weight, height, and body mass index were measured. Blood pressure, pulse rate, and other parameters were determined at baseline (sitting position) and after 10 minutes of standing using standard procedures. Statistical significance was accepted at P<0.05. Results Although there was no correlation between the body mass index and cardiovascular parameters after 10 minutes of standing, body weight showed a strong positive correlation with the orthostatic shock index (r=0.803). On the other hand, height correlated negatively with orthostatic systolic blood pressure (r=-0.719) and orthostatic pulse pressure (r=-0.702), respectively. Conclusion The study's findings suggest that body weight and height can be used to predict orthostatic shock index, systolic blood pressure, and pulse pressure in young adult females. Assessing these orthostatic responses can help refine cardiovascular risk assessments, contributing to personalized medical interventions and improved long-term health outcomes.
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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 | 0.000 |
| 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) | 0.002 | 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".