Methodological Approach to Predicting Lower Limb Blood Flow Restriction Pressure Using Anthropometry and Hemodynamics
Yazarlar (11)
Prof. Dr. Onur Mutlu Yaşar Izmir Democracy University, Türkiye
Prof. Dr. Veli Volkan Gürses Bandırma Onyedi Eylül Üniversitesi, Türkiye
Doç. Dr. Ali Erdem CİĞERCİ Kastamonu Üniversitesi, Türkiye
Doç. Dr. Özkan Güler Ankara Üniversitesi, Türkiye
Murat Turğut Sinop Üniversitesi, Türkiye
Doç. Dr. Oğuz Gürkan Yozgat Municipality, Türkiye
Mustafa Baş University Of Health Sciences, Antigua ve Barbuda
Serhat Özdenk Sinop Üniversitesi, Türkiye
Prof. Dr. Fatma Neşe Şahin Özdemir Ankara Üniversitesi, Türkiye
Levent Ceylan Hitit University, Türkiye
Hamza Küçük Ondokuz Mayis Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Life (Q1) | ||
| Dergi ISSN | 2075-1729 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 08-2025 |
| Cilt / Sayı / Sayfa | 15 / 8 / 1267–0 | DOI | 10.3390/life15081267 |
| Makale Linki | https://doi.org/10.3390/life15081267 | ||
| Özet |
| Blood flow restriction (BFR) training, first introduced by Dr. Yoshiaki Sato as KAATSU, has attracted increasing interest in sports science. Although the BFR training method has several additional benefits, the way occlusion pressure is identified contributes to BFR usability and safety. This study aims to develop and validate a predictive model for estimating individualized LOP with manual technique by examining the influence of blood pressure, fat percentage, limb circumference, and BMI as independent variables. A total of 158 healthy male adults participated in the study. Subjects with cardiovascular, metabolic, or musculoskeletal disorders, as well as those using supplements, medications, or nicotine, were excluded from the study. The cross-sectional study examined the correlation between the variables and derived a regression equation for predicting the corresponding LOP and anthropometric values. Three measurements were taken and the arithmetic mean was calculated from these measurements. It is evident that body mass index (BMI) emerged as a significant contributing factor in predicting limb occlusion pressure (LOP), outpacing traditional anthropometric variables such as limb circumference or body fat percentage. The regression model accounted for 18% of the variance in LOP (R2 = 0.18), with a standard error of estimate (SEE) of 20.5 mmHg, suggesting moderate predictive capacity. Future work should investigate vascular factors and technological development in BFR devices for optimal pressure calibration to improve the efficacy of individualized BFR training. |
| Anahtar Kelimeler |
| anthropometry | BFR | exercise | hemodynamics | muscle function |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 1 |
| Scopus | 1 |
| Google Scholar | 1 |