Radial Artery Pulse Wave Response to Submaximal Walking in Healthy Women with Obesity Phenotypes Manuscript Draft
Year: 2026
Type: preprint
Study design: Observational Study
Abstract: Background. Body fat distribution may shape vascular function beyond overall adiposity. Whether radial pulse wave responses to acute exercise differ between android and gynoid obesity phenotypes in premenopausal women remains unclear. Methods. In this exploratory cross-sectional study, 42 premenopausal women aged 20–45 years were classified as normal-weight controls (; n = 13), with gynoid obesity (, ; n = 14), or with android obesity (, ; n = 15). Each participant completed a single-stage submaximal treadmill walking test; radial pulse waves, heart rate variability (HRV), and pulse analysis indices (pulse pressure index (PPI), pulse depth index (PDI), optimal applied pressure (OAP), and pulse tension index (PTI)) were measured immediately before and 3 minutes after exercise. Pre–post responses across phenotypes were compared with linear mixed-effects (LME) models. Results. Four outcomes showed significant stage × group interactions. Incisura height (H4) decreased in both obesity groups (Gynoid, ; Android, ) but not in the controls (; ). The PDI increased exclusively in the gynoid group (). PTIs at lower pressure thresholds (PTI20 and PTI30) decreased in the android group compared with the control group ( and, respectively). Additional descriptive patterns not reaching interaction significance were consistent with phenotype-dependent responses but require confirmation. Conclusions. Both obesity groups exhibited exercise-induced H4 reductions that were absent in the controls, the android group showed divergent pulsatility responses (PTI20 and PTI30), and the gynoid group exhibited an uniquely increased PDI. These interaction-confirmed findings suggest that body fat distribution may shape peripheral hemodynamic responses to acute exercise, pending verification in larger studies with direct adipose quantification.
Source: Research Square
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: green
Awards: G1313017765, G1506865967
OpenAlex ID: W7203828898
