Methodological Approach to Predicting Lower Limb Blood Flow Restriction Pressure Using Anthropometry and Hemodynamics

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dc.contributor.authorYasar, Onur Mutlu
dc.contributor.authorGurses, Veli Volkan
dc.contributor.authorCigerci, Ali Erdem
dc.contributor.authorGuler, Ozkan
dc.contributor.authorTurgut, Murat
dc.contributor.authorGurkan, Oguz
dc.contributor.authorBas, Mustafa
dc.date.accessioned2026-04-25T14:20:28Z
dc.date.available2026-04-25T14:20:28Z
dc.date.issued2025
dc.departmentSinop Üniversitesi
dc.description.abstractBlood 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.
dc.identifier.doi10.3390/life15081267
dc.identifier.issn2075-1729
dc.identifier.issue8
dc.identifier.orcid0000-0002-3045-1211
dc.identifier.orcid0000-0002-4050-6482
dc.identifier.orcid0000-0002-9912-9909
dc.identifier.orcid0000-0002-4376-7434
dc.identifier.orcid0000-0001-7598-3927
dc.identifier.orcid0000-0003-3143-5982
dc.identifier.orcid0000-0002-8777-5807
dc.identifier.pmid40868915
dc.identifier.scopus2-s2.0-105016411490
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.3390/life15081267
dc.identifier.urihttps://hdl.handle.net/11486/8599
dc.identifier.volume15
dc.identifier.wosWOS:001558632000001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherMdpi
dc.relation.ispartofLife-Basel
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20260420
dc.subjectBFR
dc.subjectmuscle function
dc.subjectanthropometry
dc.subjecthemodynamics
dc.subjectexercise
dc.titleMethodological Approach to Predicting Lower Limb Blood Flow Restriction Pressure Using Anthropometry and Hemodynamics
dc.typeArticle

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