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4. Workloads in Collegiate Women's Lacrosse Athletes During a Division II National Championship Season.

Author

Sutton, Paige J., Mumford, Petey W., and Sunderland, Kyle L.

Subjects
*EXERCISE, *RESEARCH funding, *PHYSICAL training & conditioning, *WEARABLE technology, *GLOBAL Positioning System, *LACROSSE, *HEART beat, *ENERGY metabolism, *SPORTS events, *ATHLETIC ability, *EMPLOYEES' workload, *ATHLETIC associations, *SPRINTING
Abstract

A comprehensive examination of the external and internal workloads in collegiate women's lacrosse athletes has yet to be reported. Thus, the primary purpose of this study was to determine the absolute and relative external and internal training and game workloads of National Collegiate Athletic Association (NCAA) Division II women's lacrosse athletes throughout an entire season. Data from 19 Division II women's lacrosse athletes were analyzed, encompassing each training session and game across an entire competitive season (February-May). External workloads were assessed using a wearable global positioning system, whereas internal workloads were determined through heart rate (HR) variables and session rating of perceived exertion. Game days were associated with significantly (p < 0.05) greater absolute external and internal workloads. However, when comparing workloads relative to session duration, relative workloads between training and games were no longer significant (p > 0.05) for total distance, high-speed running (≥15 km⋅h-1), HR-derived training impulse, or caloric expenditure. Nonetheless, relative sprint distance (>19 km⋅h-1) was significantly lower during games, whereas high-intensity accelerations (>2 m⋅s-2) and decelerations (<-2 m⋅s-2) were significantly greater during training compared with games (p < 0.05). Practical applications of these findings suggest that coaches can better prepare athletes for game day conditions by adjusting training plans to replicate the duration and intensity of games. Overall, this comprehensive examination of internal and external workloads provides valuable data for coaches and practitioners to support performance comparisons, rehabilitation protocols, and workload analyses in collegiate women's lacrosse athletes. [ABSTRACT FROM AUTHOR]

Published
2024
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5. Peripheral quantitative computed tomography is a valid imaging technique for tracking changes in skeletal muscle cross‐sectional area.

Author

Ruple, Bradley A., Vann, Christopher G., Sexton, Casey L., Osburn, Shelby C., Smith, Morgan A., Godwin, Joshua S., Mumford, Petey W., Stock, Matt S., Roberts, Michael D., and Young, Kaelin C.

Subjects
MAGNETIC resonance imaging, RESISTANCE training, COMPUTED tomography, SKELETAL muscle, STATISTICAL correlation
Abstract

Peripheral quantitative computed tomography (pQCT) has recently expanded to quantifying skeletal muscle, however its validity to determine muscle cross‐sectional area (mCSA) compared to magnetic resonance imaging (MRI) is unknown. Eleven male participants (age: 22 ± 3 y) underwent pQCT and MRI dual‐leg mid‐thigh imaging before (PRE) and after (POST) 6 weeks of resistance training for quantification of mid‐thigh mCSA and change in mCSA. mCSA agreement at both time points and absolute change in mCSA across time was assessed using Bland‐Altman plots for mean bias and 95% limits of agreement (LOA), as well as Lin's concordance correlation coefficients (CCC). Both pQCT and MRI mCSA increased following 6 weeks of resistance training (∆mCSApQCT: 6.7 ± 5.4 cm2, p < 0.001; ∆mCSAMRI: 6.0 ± 6.4 cm2, p < 0.001). Importantly, the change in mCSA was not different between methods (p = 0.39). Bland‐Altman analysis revealed a small mean bias (1.10 cm2, LOA: −6.09, 8.29 cm2) where pQCT tended to overestimate mCSA relative to MRI when comparing images at a single time point. Concordance between pQCT and MRI mCSA at PRE and POST was excellent yielding a CCC of 0.982. For detecting changes in mCSA, Bland‐Altman analysis revealed excellent agreement between pQCT and MRI (mean bias: −0.73 cm2, LOA: −8.37, 6.91 cm2). Finally, there was excellent concordance between pQCT and MRI mCSA change scores (CCC = 0.779). Relative to MRI, pQCT imaging is a valid technique for measuring both mid‐thigh mCSA at a single time point and mCSA changes following a resistance training intervention. [ABSTRACT FROM AUTHOR]

Published
2024
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9. Corrigendum: A randomized controlled trial to examine the impact of a multi-strain probiotic on self-reported indicators of depression, anxiety, mood, and associated biomarkers

Author

Walden, Kylie E., primary, Moon, Jessica M., additional, Hagele, Anthony M., additional, Allen, Leah E., additional, Gaige, Connor J., additional, Krieger, Joesi M., additional, Jäger, Ralf, additional, Mumford, Petey W., additional, Pane, Marco, additional, and Kerksick, Chad M., additional

Published
2023
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12. A randomized controlled trial to examine the impact of a multi-strain probiotic on self-reported indicators of depression, anxiety, mood, and associated biomarkers

Author

Walden, Kylie E., primary, Moon, Jessica M., additional, Hagele, Anthony M., additional, Allen, Leah E., additional, Gaige, Connor J., additional, Krieger, Joesi M., additional, Jäger, Ralf, additional, Mumford, Petey W., additional, Pane, Marco, additional, and Kerksick, Chad M., additional

Published
2023
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16. Dose-Response Absorption Kinetics of Oral L-Beta-Aminoisobutyric Acid (L-BAIBA) Supplementation in Healthy Men and Women.

Author

Krieger, Joesi M., Hagele, Anthony M., Orr, Logan S., Walden, Kylie E., Gross, Kristen N., Mumford, Petey W., and Kerksick, Chad M.

Subjects
CYTOKINES, FASTING, MEN, WOMEN, WATER, BLOOD collection, DIETARY supplements, RANDOMIZED controlled trials, DOSE-effect relationship in pharmacology, BLIND experiment, RESEARCH funding, DESCRIPTIVE statistics, STATISTICAL sampling, CROSSOVER trials, BLOOD cell count, PHARMACOKINETICS
Abstract

L-Beta-amino isobutyric acid (L-BAIBA) is a myokine produced in skeletal muscle during exercise and has been shown to impact carbohydrate and fat metabolism in both animals and humans. This study was designed to determine the rate and extent to which L-BAIBA appeared in human plasma after oral ingestion. In a randomized, double-blind, placebo-controlled, crossover fashion, six males and 6 females (N = 12; 24 ± 5 yrs; 173.6 ± 12.0 cm; 72.3 ± 11.3 kg; 21.0 ± 7.0 body fat %) completed a single-dose supplementation protocol of placebo (PLA), L-BAIBA at 250 mg (B250), 500 mg (B500), 1,500mg (B1500), and 1,500mg of valine (V1500). Participants fasted overnight (8–10 h) and consumed their dose with 8–12 fluid ounces of cold water. Venous blood samples were collected 0, 30, 60, 90, 120, 180, 240 and 300 min after ingestion and analyzed for L-BAIBA. Complete blood counts and comprehensive metabolic panels were analyzed 0 and 300 min after ingestion. Peak concentration (CMax) and area under the curve (AUC) were calculated for all variables. Baseline L-BAIBA levels were not different between conditions (p = 0.46). The observed AUC for B1500 (30,513 ± 9190 µM•300 min) was significantly higher than B500 (11,087 ± 3378 µM•300 min, p < 0.001), B250 (7081 ± 2535 µM•300 min, p < 0.001), V1500 (2837 ± 2107 µM•300 min, p < 0.001), and PLA (2836 ± 2061 µM•300 min, p < 0.001). Similarly, L-BAIBA CMax for B1500 (278.1 ± 52.1 µM) was significantly higher than all other supplement conditions: B500 (95.4 ± 33.5 µM, p < 0.001), B250 (63.3 ± 61.1 µM, p < 0.001), V1500 (10.1 ± 7.2 µM, p < 0.001), PLA (11.0 ± 7.1 µM, p = 0.001). AUC and CMax for B500 was significantly higher than B250 (p < 0.001), V1500 (p < 0.001), and PLA (p < 0.001). BAIBA AUC for B250 was significantly higher than V1500 (p < 0.001) and PLA (p < 0.001). No clinically significant changes in blood-based markers of health or adverse events were observed across the study protocol. L-BAIBA doses of 250 mg, 500 mg, and 1500 mg produced significantly greater concentrations of plasma L-BAIBA across a five-hour measurement window when compared to a 1500 mg dose of valine or a placebo. Follow-up efficacy studies on resting and exercise metabolism should be completed to assess the impact of L-BAIBA supplementation in normal weight and overweight individuals. Retrospectively registered on April 22, 2022 at ClinicalTrials.gov as NCT05328271. [ABSTRACT FROM AUTHOR]

Published
2023
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41. Effects of a Pre-Workout Supplement on Hyperemia Following Leg Extension Resistance Exercise at Different Intensities: 343 Board #164 May 31 11: 00 AM - 12: 30 PM

Author

Martin, Jeffrey S., Mumford, Petey W., Haun, Cody T., Roberson, Paul A., Colquhoun, Ryan J., Freeney, Mary P., Luera, Michael J., Mackey, Cameron S., Muddle, Tyler W. D., Riffe, Joshua J., Young, Kaelin C., Pascoe, David D., Defreitas, Jason M., Jenkins, Nathaniel D. M., and Roberts, Michael D.

Published
2017
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42. Effects of High-Volume Versus High-Load Resistance Training on Skeletal Muscle Growth and Molecular Adaptations

Author

Vann, Christopher G., primary, Sexton, Casey L., additional, Osburn, Shelby C., additional, Smith, Morgan A., additional, Haun, Cody T., additional, Rumbley, Melissa N., additional, Mumford, Petey W., additional, Montgomery, Nathan T., additional, Ruple, Bradley A., additional, McKendry, James, additional, Mcleod, Jonathan, additional, Bashir, Adil, additional, Beyers, Ronald J., additional, Brook, Matthew S., additional, Smith, Kenneth, additional, Atherton, Philip J., additional, Beck, Darren T., additional, McDonald, James R., additional, Young, Kaelin C., additional, Phillips, Stuart M., additional, and Roberts, Michael D., additional

Published
2022
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43. Whey Protein Supplementation Effects on Body Composition, Performance, and Blood Biomarkers During Army Initial Entry Training

Author

McAdam, Jeremy S., primary, Lyons, Kaitlin D., additional, Beck, Darren T., additional, Haun, Cody T., additional, Romero, Matthew A., additional, Mumford, Petey W., additional, Roberson, Paul A., additional, Young, Kaelin C., additional, Lohse, Keith R., additional, Roberts, Michael D., additional, and Sefton, JoEllen M., additional

Published
2022
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49. Effects of High-Volume versus High-Load Resistance Training on Skeletal Muscle Growth and Molecular Adaptations

Author

Vann, Christopher G., primary, Sexton, Casey L., additional, Osburn, Shelby C., additional, Smith, Morgan A., additional, Haun, Cody T., additional, Rumbley, Melissa N., additional, Mumford, Petey W., additional, Ferguson, Brian K., additional, Montgomery, Nathan T., additional, Fox, Carlton D., additional, Ruple, Bradley A., additional, McKendry, James, additional, Mcleod, Jonathan, additional, Bashir, Adil, additional, Beyers, Ronald J., additional, Brook, Matthew S., additional, Smith, Kenneth, additional, Atherton, Philip J, additional, Beck, Darren T., additional, McDonald, James R., additional, Young, Kaelin C., additional, Phillips, Stuart M., additional, and Roberts, Michael D., additional

Published
2021
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50. Molecular Differences in Skeletal Muscle After 1 Week of Active vs. Passive Recovery From High-Volume Resistance Training

Author

Vann, Christopher G., primary, Haun, Cody T., additional, Osburn, Shelby C., additional, Romero, Matthew A., additional, Roberson, Paul A., additional, Mumford, Petey W., additional, Mobley, C. Brooks, additional, Holmes, Hudson M., additional, Fox, Carlton D., additional, Young, Kaelin C., additional, and Roberts, Michael D., additional

Published
2021
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