Paul A. Roberson
James Madison University
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Featured researches published by Paul A. Roberson.
PLOS ONE | 2018
Christopher B. Mobley; Cody T. Haun; Paul A. Roberson; Petey W. Mumford; Wesley C. Kephart; Matthew Romero; Shelby C. Osburn; Christopher G. Vann; Kaelin C. Young; Darren T. Beck; Jeffrey S. Martin; Christopher M. Lockwood; Michael D. Roberts
We sought to identify biomarkers which delineated individual hypertrophic responses to resistance training. Untrained, college-aged males engaged in full-body resistance training (3 d/wk) for 12 weeks. Body composition via dual x-ray absorptiometry (DXA), vastus lateralis (VL) thickness via ultrasound, blood, VL muscle biopsies, and three-repetition maximum (3-RM) squat strength were obtained prior to (PRE) and following (POST) 12 weeks of training. K-means cluster analysis based on VL thickness changes identified LOW [n = 17; change (mean±SD) = +0.11±0.14 cm], modest (MOD; n = 29, +0.40±0.06 cm), and high (HI; n = 21, +0.69±0.14 cm) responders. Biomarkers related to histology, ribosome biogenesis, proteolysis, inflammation, and androgen signaling were analyzed between clusters. There were main effects of time (POST>PRE, p<0.05) but no cluster×time interactions for increases in DXA lean body mass, type I and II muscle fiber cross sectional area and myonuclear number, satellite cell number, and macronutrients consumed. Interestingly, PRE VL thickness was ~12% greater in LOW versus HI (p = 0.021), despite POST values being ~12% greater in HI versus LOW (p = 0.006). However there was only a weak correlation between PRE VL thickness scores and change in VL thickness (r2 = 0.114, p = 0.005). Forced post hoc analysis indicated that muscle total RNA levels (i.e., ribosome density) did not significantly increase in the LOW cluster (351±70 ng/mg to 380±62, p = 0.253), but increased in the MOD (369±115 to 429±92, p = 0.009) and HI clusters (356±77 to 470±134, p<0.001; POST HI>POST LOW, p = 0.013). Nonetheless, there was only a weak association between change in muscle total RNA and VL thickness (r2 = 0.079, p = 0.026). IL-1β mRNA levels decreased in the MOD and HI clusters following training (p<0.05), although associations between this marker and VL thickness changes were not significant (r2 = 0.0002, p = 0.919). In conclusion, individuals with lower pre-training VL thickness values and greater increases muscle total RNA levels following 12 weeks of resistance training experienced greater VL muscle growth, although these biomarkers individually explained only ~8–11% of the variance in hypertrophy.
Applied Physiology, Nutrition, and Metabolism | 2017
John D. Chase; Paul A. Roberson; Michael J. Saunders; Trent A. Hargens; Christopher J. Womack; Nicholas D. Luden
The goal of this project was to examine the influence of a single night of sleep restriction following heavy exercise on cycling time-trial (TT) performance and skeletal muscle function in the morning. Seven recreational cyclists (age, 24 ± 7 years; peak oxygen consumption, 62 ± 4 mL·kg-1·min-1) completed 2 phases, each comprising evening (EX1) and next-morning (EX2) exercise sessions. EX1 and EX2 were separated by an assigned sleep condition: a full night of rest (CON; 7.1 ± 0.3 h of sleep) or sleep restriction through early waking (SR; 2.4 ± 0.2 h). EX1 comprised baseline testing (muscle soreness, isokinetic torque, and 3-km TT performance) followed by heavy exercise that included 60 min of high-intensity cycling intervals and resistance exercise. EX2 was performed to assess recovery from EX1 and included all baseline measures. Magnitude-based inferences were used to evaluate all variables. SR had a negative effect (very likely) on the change in 3-km TT performance compared with CON. Specifically, 3-km TT performance was very likely slower during EX2 compared with EX1 following SR (-4.0% ± 3.0%), whereas 3-km TT performance was possibly slower during EX2 (vs. EX1) following CON (-0.5% ± 3.0%). Sleep condition did not influence changes in peak torque or muscle soreness from EX1 to EX2. A single night of sleep restriction following heavy exercise had marked consequences on 3-km TT performance the next morning. Because occasional sleep loss is likely, strategies to ameliorate the consequences of sleep loss on performance should be investigated.
Nutrients | 2018
Jeremy McAdam; Kaitlin McGinnis; Darren T. Beck; Cody T. Haun; Matthew A. Romero; Petey W. Mumford; Paul A. Roberson; Kaelin Young; Keith Lohse; Christopher M. Lockwood; Michael D. Roberts; JoEllen M. Sefton
We investigated the effects of whey protein (WP) supplementation on body composition and physical performance in soldiers participating in Army Initial Entry Training (IET). Sixty-nine, male United States Army soldiers volunteered for supplementation with either twice daily whey protein (WP, 77 g/day protein, ~580 kcal/day; n = 34, age = 19 ± 1 year, height = 173 ± 6 cm, weight = 73.4 ± 12.7 kg) or energy-matched carbohydrate (CHO) drinks (CHO, 127 g/day carbohydrate, ~580 kcal/day; n = 35, age = 19 ± 1 year, height = 173 ± 5 cm, weight = 72.3 ± 10.9 kg) for eight weeks during IET. Physical performance was evaluated using the Army Physical Fitness Test during weeks two and eight. Body composition was assessed using 7-site skinfold assessment during weeks one and nine. Post-testing push-up performance averaged 7 repetitions higher in the WP compared to the CHO group (F = 10.1, p < 0.001) when controlling for baseline. There was a significant decrease in fat mass at post-training (F = 4.63, p = 0.04), but no significant change in run performance (F = 3.50, p = 0.065) or fat-free mass (F = 0.70, p = 0.41). Effect sizes for fat-free mass gains were large for both the WP (Cohen’s d = 0.44) and CHO (Cohen’s d = 0.42) groups. WP had a large effect on fat mass (FM) loss (Cohen’s d = −0.67), while CHO had a medium effect (Cohen’s d = −0.40). Twice daily supplementation with WP improved push-up performance and potentiated reductions in fat mass during IET training in comparison to CHO supplementation.
Applied Physiology, Nutrition, and Metabolism | 2018
Paul A. Roberson; John D. Chase; Matthew B. Bigman; Michael J. Saunders; Nicholas D. Luden; Christopher J. Womack
We sought to determine the effects of sleep restriction on markers of hemostasis the morning after an exercise session. Seven subjects performed evening exercise followed by an exercise session the next morning, both with and without sleep restriction. Evening exercise included a 20-min submaximal cycling trial (10 min at 50% maximal power (Wmax), 10 min at 60% Wmax), a 3-km cycling time trial, 60 min of cycling intervals, and 3 sets of leg press. Subsequent morning exercise was the same, excluding intervals and leg press. Blood samples were collected at rest and following the 20-min submaximal trial for factor VIII antigen, tissue plasminogen activator (tPA) activity, and plasminogen activator inhibitor-1 (PAI-1) activity. Sleep restriction had no effect on the variables. Factor VIII antigen was higher and tPA activity lower in the morning versus evening, respectively (P < 0.05). There were larger (P < 0.05) exercise responses for tPA activity in the evening (pre-exercise = 0.32 ± 0.14, postexercise = 1.89 ± 0.60 AU/mL) versus morning (pre-exercise = 0.27 ± 0.13 AU/mL, postexercise = 0.69 ± 0.18 AU/mL). PAI-1 exhibited lower (P < 0.05) responses in the evening (pre-exercise = 0.78 ± 0.26 AU/mL, postexercise = 0.69 ± 0.29 AU/mL) versus morning (pre-exercise = 7.06 ± 2.66, postexercise = 5.40 ± 2.31 AU/mL). Although a prothrombotic environment was observed the morning following an evening exercise session, it was not exacerbated by sleep restriction.
Medicine and Science in Sports and Exercise | 2018
Cody T. Haun; C. Brooks Mobley; Christopher G. Vann; Matthew A. Romero; Paul A. Roberson; Petey W. Mumford; Wesley C. Kephart; James C. Healy; Romil K. Patel; Shelby C. Osburn; Darren T. Beck; Michael D. Roberts
Medicine and Science in Sports and Exercise | 2018
Matthew A. Romero; C. Brooks Mobley; Paul A. Roberson; Cody T. Haun; Wesley C. Kephart; Petey W. Mumford; James C. Healy; Darren T. Beck; Kaelin C. Young; Jeffrey S. Martin; Christopher M. Lockwood; Michael D. Roberts
Medicine and Science in Sports and Exercise | 2018
Paul A. Roberson; C. Brooks Mobley; Cody T. Haun; Petey W. Mumford; Matthew A. Romero; Wesley C. Kephart; Shelby C. Osburn; Christopher G. Vann; Christopher M. Lockwood; Michael D. Roberts
Medicine and Science in Sports and Exercise | 2018
Christopher G. Vann; Cody T. Haun; C. Brooks Mobley; Matthew A. Romero; Paul A. Roberson; Petey W. Mumford; Wesley C. Kephart; Shelby O. Osburn; Michael D. Roberts
Medicine and Science in Sports and Exercise | 2017
John D. Chase; Paul A. Roberson; Michael J. Saunders; Trent A. Hargens; Christopher J. Womack; Nicholas D. Luden
Medicine and Science in Sports and Exercise | 2017
Jeffrey S. Martin; Petey W. Mumford; Cody T. Haun; Paul A. Roberson; Ryan J. Colquhoun; Mary P. Freeney; Michael J. Luera; Cameron S. Mackey; Tyler W.D. Muddle; Joshua J. Riffe; Kaelin C. Young; David D. Pascoe; Jason M. DeFreitas; Nathaniel D.M. Jenkins; Michael D. Roberts