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Effects of Reflexive Performance Reset (RPR) on Vertical Jump, Broad Jump, and Pro Agility
No full textThe Effects of Blood Flow Restriction Resistance Exercise on Cardiovascular Function in Normotensive College Women
No full textPotassium Supplementation Lowers Inflammation and Improves Endothelial Function Under High Sodium Conditions in Normotensive Adults
No full textMental Health, Central Blood Pressure, and Physical Activity in Young Adult Refugees in Syracuse, NY
No full textEffect of Caffeine on Metabolic Efficiency During a VO₂ Submaximal Test in Collegiate Female Athletes
No full textChanges in Muscle Size, Strength, and Exercise Adherence Following a Peer-Leader Program
No full textLarge Artery Stiffness and Neurovascular Coupling across the Lifespan: Impact of Age and Sex
No full textNo Effects of Acute Refueling Composition on Soccer Athlete Motivation Measures During Pre-Season Training
No full textUpper Extremity Asymmetries in Collegiate Tennis Players Compared to an Athletic Control of Runners
No full textInternational Journal of Exercise Science 18(3): 1151-1165, 2025. https://doi.org/10.70252/MDRK9289 Previous research on limb asymmetries of athletes participating in dominant-sided sports lacks an athletic control group. This study aimed to determine the magnitude of upper limb asymmetries in dominant-sided athletes (tennis players) compared to nondominant-sided athletes (cross-country runners). Men and women university athletes (10 tennis, 11 cross-country) participated. Dual-energy x-ray absorptiometry (DXA) was used to measure bone mineral content (BMC), bone mineral density (BMD), and lean mass (LM) of the whole body, upper extremities, and forearms. Circumference measurements were taken at mid-biceps and widest part of the forearms. Bony breadth of the elbow was measured with sliding calipers placed at the medial and lateral epicondyles. Grip strength was assessed with a dynamometer. Mixed-model ANOVA was used to analyze data between dominant/nondominant sides and between sports. There were no significant differences in age (p = .150), height (p =.783) or body mass (p = .066) between teams. No differences were shown between sports for total body BMC (p = .544), total body BMD (p = .535), or total body LM (p = .843). Sport × side interaction was significant (p \u3c .05) for lower arm circumference, elbow bony breadths, total upper extremity LM, total upper extremity BMC, total upper extremity BMD, forearm BMC, ultra-distal forearm BMC, mid-distal forearm BMC, one-third forearm BMC, and ultra-distal forearm BMD. Morphological differences between sports were localized to the arm. Sport specificity influences mass and volume (circumference, LM, BMC) of the limb, with BMD particularly enhanced in ultra-distal forearm
Assessing Aerobic and Anaerobic Thresholds with Emphasis on Isocapnic Buffering in Endurance Runners
No full textInternational Journal of Exercise Science 18(5): 1381-1392, 2025. https://doi.org/10.70252/IYED1370 Accurate determination of metabolic thresholds is essential for designing effective endurance training. This study aimed to apply a multi-visit Step–Ramp–Step (SRS) protocol to identify aerobic (VT1) and anaerobic (VT2/RCP) thresholds in trained endurance runners, with a particular focus on delineating the isocapnic buffering region—the ventilatory phase between VT1 and VT2 where carbon dioxide (PetCO₂) remains stable despite rising ventilation. Twelve trained male runners (mean age: 27.1 ± 1.9 years; VO₂max: 60.5 ± 2.1 ml·kg⁻¹·min⁻¹) completed the SRS protocol across separate lab visits. Each session included a 4-minute moderate-intensity phase, a progressive ramp to volitional exhaustion, and a 4-minute heavy-intensity step following a 30-minute recovery. Breath-by-breath gas exchange data (VO₂, VCO₂, VE, RER, PetO₂, PetCO₂) were analyzed using 20-second smoothing. Results showed that VT1 and RCP occurred at 73.2 ± 4.1% and 89.6 ± 3.8% of VO₂max, respectively. The isocapnic buffering zone spanned ~16.4% of the VO₂max range. Unlike previous SRS studies focused on cycling, this study uniquely applies the protocol to running and specifically quantifies the buffering region. These findings support the use of SRS running protocols for efficient, individualized assessment of metabolic transitions in endurance athletes