Henry Brown1,2,3, Martyn J Binnie1,2, Brian Dawson1, Nicola Bullock3,4,5, Brendan R Scott6, Peter Peeling1,2. 1. a School of Human Sciences (Exercise and Sport Science) , The University of Western Australia , Crawley , Australia. 2. b Western Australian Institute of Sport , Mt Claremont , Australia. 3. c Australian Institute of Sport , Gold Coast , Australia. 4. d Australian Canoeing , Sydney , Australia. 5. e Bond University Institute of Health and Sport , Gold Coast , Australia. 6. f School of Psychology and Exercise Science , Murdoch University , Murdoch , Australia.
Abstract
PURPOSE: To determine the effect of limb selection (upper/lower), cuff width (small (6 cm)/medium (13 cm) upper; medium/large (18 cm) lower) and anthropometry on arterial occlusion pressure (AOP) in ischemic preconditioning (IPC). METHODS: Twenty athletes (10 females and 10 males) had surface anthropometry and dual x-ray absorptiometry (DXA) assessments before using Doppler ultrasound to confirm AOP for each limb. Subsequently, 5 min of occlusion occurred, with near-infrared spectroscopy (NIRS) measuring muscle oxygenation changes. Resultant AOP was compared between sexes, limbs and cuff sizes using linear regression models. RESULTS: Mean AOP was higher in the lower limbs than the upper limbs (161 ± 18 vs. 133 ± 12 mm Hg; p < .001), and with smaller cuffs in upper (161 ± 16 vs. 133 ± 12 mm Hg; p < .001), but not lower limbs (161 ± 16 vs. 170 ± 26 mm Hg; p = .222). Sex and resting systolic blood pressure (SBP) accounted for 77% (small cuff) to 83% (medium cuff) of variance in AOP for upper limbs, and 61% (medium cuff) to 63% (large cuff) in lower limbs. Including anthropometry accounted for 82% (small cuff) to 89% (medium cuff) and 78% (medium cuff) to 79% (large cuff) of variance for upper and lower limbs, respectively. Adding DXA variables improved the explained variance up to 83% (small cuff) to 91% (medium cuff) and 79% (medium cuff) to 87% (large cuff) for upper and lower limbs, respectively. NIRS data showed significantly greater tissue oxygenation changes in upper versus lower limbs. CONCLUSIONS: The AOP in athletes is dependent on limb occluded, sex, SBP, limb and cuff size, and body composition.
PURPOSE: To determine the effect of limb selection (upper/lower), cuff width (small (6 cm)/medium (13 cm) upper; medium/large (18 cm) lower) and anthropometry on arterial occlusion pressure (AOP) in ischemic preconditioning (IPC). METHODS: Twenty athletes (10 females and 10 males) had surface anthropometry and dual x-ray absorptiometry (DXA) assessments before using Doppler ultrasound to confirm AOP for each limb. Subsequently, 5 min of occlusion occurred, with near-infrared spectroscopy (NIRS) measuring muscle oxygenation changes. Resultant AOP was compared between sexes, limbs and cuff sizes using linear regression models. RESULTS: Mean AOP was higher in the lower limbs than the upper limbs (161 ± 18 vs. 133 ± 12 mm Hg; p < .001), and with smaller cuffs in upper (161 ± 16 vs. 133 ± 12 mm Hg; p < .001), but not lower limbs (161 ± 16 vs. 170 ± 26 mm Hg; p = .222). Sex and resting systolic blood pressure (SBP) accounted for 77% (small cuff) to 83% (medium cuff) of variance in AOP for upper limbs, and 61% (medium cuff) to 63% (large cuff) in lower limbs. Including anthropometry accounted for 82% (small cuff) to 89% (medium cuff) and 78% (medium cuff) to 79% (large cuff) of variance for upper and lower limbs, respectively. Adding DXA variables improved the explained variance up to 83% (small cuff) to 91% (medium cuff) and 79% (medium cuff) to 87% (large cuff) for upper and lower limbs, respectively. NIRS data showed significantly greater tissue oxygenation changes in upper versus lower limbs. CONCLUSIONS: The AOP in athletes is dependent on limb occluded, sex, SBP, limb and cuff size, and body composition.
Entities:
Keywords:
Physiology; body composition; methodology
Authors: Mikhail Santos Cerqueira; Daniel Kovacs; Ingrid Martins de França; Rafael Pereira; Sinval Bezerra da Nobrega Neto; Rúsia Dayanny Aires Nonato; Telma Maria De Araújo Moura Lemos; Wouber Hérickson De Brito Vieira Journal: Sports Health Date: 2021-02-23 Impact factor: 3.843
Authors: Swati M Surkar; Marghuretta D Bland; Anna E Mattlage; Ling Chen; Jeffrey M Gidday; Jin-Moo Lee; Tamara Hershey; Catherine E Lang Journal: PLoS One Date: 2020-02-04 Impact factor: 3.240
Authors: Yining Lu; Bhavik H Patel; Craig Kym; Benedict U Nwachukwu; Alexander Beletksy; Brian Forsythe; Jorge Chahla Journal: Orthop J Sports Med Date: 2020-03-25