Amelia A. Miramonti

The effect of training volume and intensity on improvements in muscular strength and size in resistance‐trained men

This investigation compared the effect of high‐volume (VOL) versus high‐intensity (INT) resistance training on stimulating changes in muscle size and strength in resistance‐trained men. Following a 2‐week preparatory phase, participants were randomly assigned to either a high‐volume (VOL; n = 14, 4 × 10–12 repetitions with ~70% of one repetition maximum [1RM], 1‐min rest intervals) or a high‐intensity (INT; n = 15, 4 × 3–5 repetitions with ~90% of 1RM, 3‐min rest intervals) training group for 8 weeks. Pre‐ and posttraining assessments included lean tissue mass via dual energy x‐ray absorptiometry, muscle cross‐sectional area and thickness of the vastus lateralis (VL), rectus femoris (RF), pectoralis major, and triceps brachii muscles via ultrasound images, and 1RM strength in the back squat and bench press (BP) exercises. Blood samples were collected at baseline, immediately post, 30 min post, and 60 min postexercise at week 3 (WK3) and week 10 (WK10) to assess the serum testosterone, growth hormone (GH), insulin‐like growth factor‐1 (IGF1), cortisol, and insulin concentrations. Compared to VOL, greater improvements (P < 0.05) in lean arm mass (5.2 ± 2.9% vs. 2.2 ± 5.6%) and 1RM BP (14.8 ± 9.7% vs. 6.9 ± 9.0%) were observed for INT. Compared to INT, area under the curve analysis revealed greater (P < 0.05) GH and cortisol responses for VOL at WK3 and cortisol only at WK10. Compared to WK3, the GH and cortisol responses were attenuated (P < 0.05) for VOL at WK10, while the IGF1 response was reduced (P < 0.05) for INT. It appears that high‐intensity resistance training stimulates greater improvements in some measures of strength and hypertrophy in resistance‐trained men during a short‐term training period.

Greater neural adaptations following high- vs. low-load resistance training

We examined the neuromuscular adaptations following 3 and 6 weeks of 80 vs. 30% one repetition maximum (1RM) resistance training to failure in the leg extensors. Twenty-six men (age = 23.1 ± 4.7 years) were randomly assigned to a high- (80% 1RM; n = 13) or low-load (30% 1RM; n = 13) resistance training group and completed leg extension resistance training to failure 3 times per week for 6 weeks. Testing was completed at baseline, 3, and 6 weeks of training. During each testing session, ultrasound muscle thickness and echo intensity, 1RM strength, maximal voluntary isometric contraction (MVIC) strength, and contractile properties of the quadriceps femoris were measured. Percent voluntary activation (VA) and electromyographic (EMG) amplitude were measured during MVIC, and during randomly ordered isometric step muscle actions at 10–100% of baseline MVIC. There were similar increases in muscle thickness from Baseline to Week 3 and 6 in the 80 and 30% 1RM groups. However, both 1RM and MVIC strength increased from Baseline to Week 3 and 6 to a greater degree in the 80% than 30% 1RM group. VA during MVIC was also greater in the 80 vs. 30% 1RM group at Week 6, and only training at 80% 1RM elicited a significant increase in EMG amplitude during MVIC. The peak twitch torque to MVIC ratio was also significantly reduced in the 80%, but not 30% 1RM group, at Week 3 and 6. Finally, VA and EMG amplitude were reduced during submaximal torque production as a result of training at 80% 1RM, but not 30% 1RM. Despite eliciting similar hypertrophy, 80% 1RM improved muscle strength more than 30% 1RM, and was accompanied by increases in VA and EMG amplitude during maximal force production. Furthermore, training at 80% 1RM resulted in a decreased neural cost to produce the same relative submaximal torques after training, whereas training at 30% 1RM did not. Therefore, our data suggest that high-load training results in greater neural adaptations that may explain the disparate increases in muscle strength despite similar hypertrophy following high- and low-load training programs.

Effects of 4 Weeks of High-intensity Interval Training and β-hydroxy-β-methylbutyric Free Acid Supplementation on the Onset of Neuromuscular Fatigue

Abstract Miramonti, AA, Stout, JR, Fukuda, DH, Robinson IV, EH, Wang, R, La Monica, MB, and Hoffman, JR. Effects of 4 weeks of high-intensity interval training and &bgr;-hydroxy-&bgr;-methylbutyric free acid supplementation on the onset of neuromuscular fatigue. J Strength Cond Res 30(3): 626–634, 2016—This study investigated the effects of high-intensity interval training (HIIT) and &bgr;-hydroxy-&bgr;-methylbutyric free acid (HMB) supplementation on physical working capacity at the onset of neuromuscular fatigue threshold (PWCFT). Thirty-seven participants (22 men, 15 women; 22.8 ± 3.4 years) completed an incremental cycle ergometer test (graded exercise test [GXT]); electromyographic amplitude from the right vastus lateralis was recorded. Assessments occurred preceding (PRE) and after 4 weeks of supplementation (POST). Participants were randomly assigned to control (C, n = 9), placebo (P, n = 14), or supplementation (S, n = 14) groups. Both P and S completed 12 HIIT sessions, whereas C maintained normal diet and activity patterns. The PWCFT (W) was determined using the maximal perpendicular distance (DMAX) method. Electromyographic amplitude (&mgr;Vrms) over time was used to generate a cubic regression. Onset of fatigue (TF) was the x-value of the point on the regression that was at DMAX from a line between the first and last data points. The PWCFT was estimated using TF and GXT power-output increments. The 2-way analysis of variance (ANOVA) (group × time) resulted in a significant interaction for PWCFT (F = 6.69, p = 0.004). Post hoc analysis with 1-way ANOVA resulted in no difference in PWCFT among groups at PRE (F = 0.87, p = 0.43); however, a difference in PWCFT was shown for POST (F = 5.46, p = 0.009). Post hoc analysis among POST values revealed significant differences between S and both P (p = 0.034) and C (p = 0.003). No differences (p = 0.226) were noted between P and C. Paired samples t-tests detected significant changes after HIIT for S (p < 0.001) and P (p = 0.016), but no change in C (p = 0.473). High-intensity interval training increased PWCFT, but HMB with HIIT was more effective than HIIT alone. Furthermore, it seems that adding HMB supplementation with HIIT in untrained men and women may further improve endurance performance measures.

Isometric Mid-Thigh Pull Correlates With Strength, Sprint, and Agility Performance in Collegiate Rugby Union Players.

Abstract Wang, R, Hoffman, JR, Tanigawa, S, Miramonti, AA, La Monica, MB, Beyer, KS, Church, DD, Fukuda, DH, and Stout, JR. Isometric mid-thigh pull correlates with strength, sprint, and agility performance in collegiate rugby union players. J Strength Cond Res 30(11): 3051–3056, 2016—The purpose of this investigation was to examine the relationships between isometric mid-thigh pull (IMTP) force and strength, sprint, and agility performance in collegiate rugby union players. Fifteen members of a champion-level universitys club rugby union team (mean ± SD: 20.67 ± 1.23 years, 1.78 ± 0.06 m, and 86.51 ± 14.18 kg) participated in this investigation. One repetition maximum (1RM) squat, IMTP, speed (40 m sprint), and agility (proagility test and T-test) were performed during 3 separate testing sessions. Rate of force development (RFD) and force output at 30, 50, 90, 100, 150, 200, and 250 milliseconds of IMTP, as well as the peak value were determined. Pearson product-moment correlation analysis was used to examine the relationships between these measures. Performance in the 1RM squat was significantly correlated to the RFD between 90 and 250 milliseconds from the start of contraction (rs ranging from 0.595 to 0.748), and peak force (r = 0.866, p ⩽ 0.05). One repetition maximum squat was also correlated to force outputs between 90 and 250 milliseconds (rs ranging from 0.757 to 0.816, p ⩽ 0.05). Sprint time over the first 5 m in the 40 m sprint was significantly (p ⩽ 0.05) correlated with peak RFD (r = −0.539) and RFD between 30 and 50 milliseconds (rs = −0.570 and −0.527, respectively). Time for the proagility test was correlated with peak RFD (r = −0.523, p ⩽ 0.05) and RFD between 30 and 100 milliseconds (rs ranging from −0.518 to −0.528, ps < 0.05). Results of this investigation indicate that IMTP variables are significantly associated with strength, agility, and sprint performance. Future studies should examine IMTP as a potential tool to monitor athletic performance during the daily training of rugby union players.

Exercise-Induced Hormone Elevations Are Related to Muscle Growth.

Abstract Mangine, GT, Hoffman, JR, Gonzalez, AM, Townsend, JR, Wells, AJ, Jajtner, AR, Beyer, KS, Boone, CH, Wang, R, Miramonti, AA, LaMonica, MB, Fukuda, DH, Witta, EL, Ratamess, NA, and Stout, JR. Exercise-induced hormone elevations are related to muscle growth. J Strength Cond Res 31(1): 45–53, 2017—Partial least squares regression structural equation modeling (PLS-SEM) was used to examine relationships between the endocrine response to resistance exercise and muscle hypertrophy in resistance-trained men. Pretesting (PRE) measures of muscle size (thickness and cross-sectional area) of the vastus lateralis and rectus femoris were collected in 26 resistance-trained men. Participants were randomly selected to complete a high-volume (VOL, n = 13, 10–12RM, 1-minute rest) or high-intensity (INT, n = 13, 3–5RM, 3-minute rest) resistance training program. Blood samples were collected at baseline, immediately postexercise, 30-minute, and 60-minute postexercise during weeks 1 (week 1) and 8 (week 8) of training. The hormonal responses (testosterone, growth hormone [22 kD], insulin-like growth factor-1, cortisol, and insulin) to each training session were evaluated using area-under-the-curve (AUC) analyses. Relationships between muscle size (PRE), AUC values (week 1 + week 8) for each hormone, and muscle size (POST) were assessed using a consistent PLS-SEM algorithm and tested for statistical significance (p ⩽ 0.05) using a 1,000 samples consistent bootstrapping analysis. Group-wise comparisons for each relationship were assessed through independent t-tests. The model explained 73.4% (p < 0.001) of variance in muscle size at POST. Significant pathways between testosterone and muscle size at PRE (p = 0.043) and muscle size at POST (p = 0.032) were observed. The ability to explain muscle size at POST improved when the model was analyzed by group (INT: R 2 = 0.882; VOL: R 2 = 0.987; p < 0.001). No group differences in modal quality were found. Exercise-induced testosterone elevations, independent of the training programs used in this study, seem to be related to muscle growth.

Combining regression and mean comparisons to identify the time course of changes in neuromuscular responses during the process of fatigue

The purposes of the present study were to apply a unique method for the identification of the time course of changes in neuromuscular responses and to infer the motor unit activation strategies used to maintain force during a fatiguing, intermittent isometric workbout. Eleven men performed 50, 6 s intermittent isometric muscle actions of the leg extensors, each separated by 2 s of rest at 60% maximal voluntary isometric contraction (MVIC). Electromyographic (EMG) and mechanomyographic (MMG) amplitude (root mean square; RMS) and frequency (mean power frequency; MPF) were obtained from the vastus lateralis (VL) every 5 of the 50 repetitions and normalized as a percent of the initial repetition. Polynomial regression analyses were used to determine the model of best fit for the normalized EMG RMS, EMG MPF, MMG RMS, and MMG MPF versus repetition relationships and one-way repeated measures ANOVAs with post-hoc Student Newman-Keuls were used to identify when these neuromuscular parameters changed from the initial repetition. The findings of the present study indicated two unique phases of neuromuscular responses (repetitions 1-20 and 20-50) during the fatiguing workbout. The time course of changes in these four neuromuscular responses suggested that the after-hyperpolarization theory could not explain the maintenance of force production, but Muscle Wisdom and the Onion Skin Scheme could. The findings of the current study suggested that the time course of changes in neuromuscular responses can provide insight in to the motor unit activation strategies used to maintain force production and allow for a greater understanding of the fatiguing process by identifying the time-points at which these neuromuscular parameters changed.

Physical Differences Between Forwards and Backs in American Collegiate Rugby Players

Abstract La Monica, MB, Fukuda, DH, Miramonti, AA, Beyer, KS, Hoffman, MW, Boone, CH, Tanigawa, S, Wang, R, Church, DD, Stout, JR, and Hoffman, JR. Physical differences between forwards and backs in American collegiate rugby players. J Strength Cond Res 30(9): 2382–2391, 2016—This study examined the anthropometric and physical performance differences between forwards and backs in a championship-level American male collegiate rugby team. Twenty-five male rugby athletes (mean ± SD; age 20.2 ± 1.6 years) were assessed. Athletes were grouped according to position as forwards (n = 13) and backs (n = 12) and were evaluated on the basis of anthropometrics (height, weight, percent body fat [BF%]), cross-sectional area (CSA), muscle thickness (MT), and pennation angle (PA) of the vastus lateralis (VL), maximal strength (1 repetition maximum [1RM] bench press and squat), vertical jump power, midthigh pull (peak force [PF] and peak rate of force development [PRFD]), maximal aerobic capacity (V[Combining Dot Above]O2peak), agility (pro agility, T test), speed (40-m sprint), and a tethered sprint (peak velocity [PV], time to peak velocity, distance covered, and step rate and length). Comparisons between forwards and backs were analyzed using independent t-tests with Cohens d effect size. Forwards were significantly different from backs for body weight (90.5 ± 12.4 vs. 73.7 ± 7.1 kg, p < 0.01; d = 1.60), BF% (12.6 ± 4.2 vs. 8.8 ± 2.1%, p ⩽ 0.05; d = 1.10), VL CSA (38.3 ± 9.1 vs. 28.7 ± 4.7 cm3, p < 0.01; d = 1.26), 1RM bench press (121.1 ± 30.3 vs. 89.5 ± 20.4 kg, p ⩽ 0.05; d = 1.17), 1RM squat (164.6 ± 43.0 vs. 108.5 ± 31.5 kg, p < 0.01; d = 1.42), PF (2,244.6 ± 505.2 vs. 1,654.6 ± 338.8 N, p < 0.01; d = 1.32), PV (5.49 ± 0.25 vs. 5.14 ± 0.37 m·s−1, p ⩽ 0.05; d = 1.04), and step length (1.2 ± 0.1 vs. 1.1 ± 0.1 m, p ⩽ 0.05; d = 0.80). V[Combining Dot Above]O2peak was significantly (p ⩽ 0.05, d = −1.20) higher in backs (54.9 ± 3.9 ml·kg·min−1) than in forwards (49.4 ± 4.4 ml·kg·min−1). No differences in agility performance were found between position groups. The results of this study provide descriptive information on anthropometric and performance measures on American male collegiate championship-level rugby players offering potential standards for coaches to use when developing or recruiting players.

Effects of rumenic acid rich conjugated linoleic acid supplementation on cognitive function and handgrip performance in older men and women.

The purpose of this study was to investigate the effects of 8weeks at 6g per day of RAR CLA versus placebo on cognitive function and handgrip performance in older men and women. Sixty-five (43 women, 22 men) participants (mean±SD; age=72.4±5.9yrs; BMI=26.6±4.2kg·m-2) were randomly assigned to a RAR CLA (n=30: 10 men, 20 women) or placebo (PLA; high oleic sunflower oil; n=35: 12 men, 23 women) group in double-blind fashion and consumed 6g·d-1 of their allocated supplement for 8weeks. Before (Visit 1) and after supplementation (Visit 2), subjects completed the Serial Sevens Subtraction Test (S7), Trail Making Test Part A (TMA) and Part B (TMB), and Reys Auditory Verbal Learning Test (RAVLT) to measure cognitive function. The RAVLT included 5, 15-item auditory word recalls (R1-5), an interference word recall (RB), a 6th word recall (R6), and a 15-item visual word recognition trial (RR). For handgrip performance, subjects completed maximal voluntary isometric handgrip strength (MVIC) testing before (MVICPRE) and after (MVICPOST) a handgrip fatigue test at 50% MVICPRE. Hand joint discomfort was measured during MVICPRE, MVICPOST, and the handgrip fatigue test. There were no treatment differences (p>0.05) for handgrip strength, handgrip fatigue, or cognitive function as measured by the Trail Making Test and Serial Sevens Subtraction Test in men or women. However, RAR CLA supplementation improved cognitive function as indicated by the RAVLT R5 in men. A qualitative examination of the mean change scores suggested that, compared to PLA, RAR CLA supplementation was associated with a small improvement in joint discomfort in both men and women. Longer-term studies are needed to more fully understand the potential impact of RAR CLA on cognitive function and hand joint discomfort in older adults, particularly in those with lower cognitive function.

Mechanomyographic responses during recruitment curves in the soleus muscle.

In this study we examined relationships among mechanomyographic (MMG), electromyographic (EMG), and peak twitch torque (PTT) responses as well as test–retest reliability when recorded during recruitment curves in the soleus muscle.

Pharmacokinetics of caffeine administered in a time-release versus regular tablet form

Background Caffeine has been associated with enhancing the ability to perform mental tasks and elevate feelings of energy, however, a single dose of caffeine typically induces only 90-120 minutes of increased alertness and is often associated with an acute “crash” state following its metabolism. The nature of formulation can directly influence the rate and extent of absorption following oral administration. Time-release caffeine supplements have been developed to prolong the effects of caffeine. The purpose of this study was to compare the plasma caffeine pharmacokinetics following ingestion of a time-release caffeine capsule (TR-CAF) to an equivalent dose of a regular caffeine capsule (CAF) and a placebo (PL) over an 8-hour period.