Prediction of central Augmentation Index in healthy adults
Our findings demonstrate that central Augmentation Index can be reliably predicted in healthy adults who undergo a maximal exercise or body composition assessment. These prediction equations may be applied in non-medical settings to assist in creating comprehensive health and fitness profiles for healthy clientele.
Authors
- Kathleen Dondero (ORCID: https://orcid.org/0000-0002-0636-1523)
- Hannah A. Zabriskie (ORCID: https://orcid.org/0000-0002-4559-4311)
- Rian Q. Landers‐Ramos (ORCID: https://orcid.org/0000-0002-3092-2538)
- Devon A. Dobrosielski (ORCID: https://orcid.org/0000-0002-2359-4767)
- Justin Updegraff
- Brenna Baus
Institutions
- Towson University (US)
Publication Details
- Journal
- The Journal of Sports Medicine and Physical Fitness
- Published
- 2024-10-28
- DOI
- https://doi.org/10.23736/s0022-4707.24.16145-2
- Primary Topic
- Healthcare Systems and Public Health
- Type
- article
- Field-Weighted Citation Impact
- 0.00