TRADITIONALLY, RESISTANCE TRAINING INTENSITY HAS BEEN BASED UPON A PERCENTAGE OF AN INDIVIDUAL'S 1RM. HOWEVER, THERE ARE NUMEROUS SHORTCOMINGS WITH THIS APPROACH, INCLUDING ITS FAILURE TO CONSIDER AN ATHLETE'S CONDITIONAL, DAY-TO-DAY TRAINING READINESS. IN ORDER TO ADDRESS THESE LIMITATIONS, THE USE OF VARIOUS PROGRESSIVE AUTO-REGULATED RESISTANCE TRAINING PROTOCOLS HAS BEEN SUGGESTED IN THE LITERATURE. RECENT ADVANCES IN THE MONITORING OF MOVEMENT VELOCITY OFFER A UNIQUE APPROACH BY WHICH TO OPTIMIZE THE USE OF AUTO-REGULATED RESISTANCE TRAINING. BY MATCHING ESTABLISHED ACUTE RESISTANCE TRAINING VARIABLES TO SPECIFIC MOVEMENT VELOCITIES THE STRENGTH AND CONDITIONING PRACTITIONER CAN OPTIMIZE RESISTANCE TRAINING INTENSITY AND OBJECTIVELY IDENTIFY THE ONSET OF NEUROMUSCULAR FATIGUE.

Nevin, JP, Smith, P, Waldron, M, Patterson, S, Price, M, Hunt, A, and Blagrove, R. Efficacy of an 8-week concurrent strength and endurance training program on hand cycling performance. J Strength Cond Res 32(7): 1861-1868, 2018-The aim of this study was to investigate the effects of an 8-week concurrent strength and endurance training program in comparison with endurance training only on several key determinants of hand cycling performance. Five H4 and 5 H3 classified hand cyclists with at least 1 year's hand cycling training history consented to participate in the study. Subjects underwent a battery of tests to establish body mass, body composition, V[Combining Dot Above]O2peak, maximum aerobic power, gross mechanical efficiency (GME), maximal upper-body strength, and 30-km time-trial performance. Subjects were matched into pairs based on 30-km time-trial performance and randomly allocated to either a concurrent strength and endurance or endurance training only, intervention group. After an 8-week training program based on a conjugated block periodization model, subjects completed a second battery of tests. A mixed model, 2-way analysis of variance revealed no significant changes between groups. However, the calculation of effect sizes (ESs) revealed that both groups demonstrated a positive improvement in most physiological and performance measures with subjects in the concurrent group demonstrating a greater magnitude of improvement in body composition (ES -0.80 vs. -0.22), maximal aerobic power (ES 0.97 vs. 0.28), GME (ES 0.87 vs. 0.63), bench press 1 repetition maximum (1RM) (ES 0.53 vs. 0.33), seated row 1RM (ES 1.42 vs. 0.43), and 30-km time-trial performance (ES -0.66 vs. -0.30). In comparison with endurance training only, an 8-week concurrent training intervention based on a conjugated block periodization model seems to be a more effective training regime for improving the performance capabilities of hand cyclists.

Purpose: The aim of this study was to investigate the relationship between selected anthropometric, physiological, and upper-body strength measures and 15-km handcycling time-trial (TT) performance. Methods: Thirteen trained H3/H4 male handcyclists performed a 15-km TT, graded exercise test, 15-second all-out sprint, and 1-repetition-maximum assessment of bench press and prone bench pull strength. Relationship between all variables was assessed using a Pearson correlation coefficient matrix with mean TT velocity representing the principal performance outcome. Results: Power at a fixed blood lactate concentration of 4 mmol·L−1 (r = .927; P < .01) showed an extremely large correlation with TT performance, whereas relative (peak oxygen uptake) (r = .879; P < .01), power-to-mass ratio (r = .879; P < .01), peak aerobic power (r = .851; P < .01), gross mechanical efficiency (r = 733; P < .01), relative prone bench pull strength (r = .770; P = .03) relative bench press strength (r = .703; P = .11), and maximum anaerobic power (r = .678; P = .15) all demonstrated a very large correlation with performance outcomes. Conclusion: Findings of this study indicate that power at a fixed blood lactate concentration of 4 mmol·L−1, relative , power-to-mass ratio, peak aerobic power, gross mechanical efficiency, relative upper-body strength, and maximum anaerobic power are all significant determinants of 15-km TT performance in H3/H4 handcyclists.

Purpose: The aim of the following case study was to evaluate the effectiveness of a 30-week concurrent strength and endurance training program designed to prepare a trained H4 male handcyclist (aged 28 y, bilateral, above knee amputee, and body mass 65.6 kg) for a 1407-km ultra-endurance handcycling challenge. Methods: This observational case study tracked selected physiological measures, training intensity distribution, and total training load over the course of a 30-week concurrent training protocol. Furthermore, the athlete’s performance profile during the ultra-endurance challenge was monitored with power output, cadence, speed, and heart rate recorded throughout. Results: Findings revealed considerable improvements in power output at a fixed blood lactate concentration of 4 mmol·L−1 (+25.7%), peak aerobic power output (+18.9%), power-to-mass ratio (+18.3%), relative peak oxygen uptake (+13.9%), gross mechanical efficiency (+4.6%), bench press 1-repetition maximum (+4.3%), and prone bench pull 1-repetition maximum (+14.9%). The athlete completed the 1407-km route in a new handcycling world record time of 89:55 hours. Average speed was 18.7 (2.1) km·h−1; cadence averaged 70.0 (2.6) rpm, while average power output was 67 (12) W. In terms of internal load, the athlete’s average heart rate was 111 (11) beats per minute. Conclusion: These findings demonstrate how a long-term concurrent strength and endurance training program can be used to optimize handcycling performance capabilities in preparation for an ultra-endurance cycling event. Knowledge emerging from this case study provides valuable information that can guide best practices with respect to handcycling training for ultra-endurance events.

Purpose: To explore the relationship between absolute and relative upper-body strength and selected measures of handcycling performance. Methods: A total of 13 trained H3/H4-classified male handcyclists (mean [SD] age 37 [11] y; body mass 76.6 [10.1] kg; peak oxygen consumption 2.8 [0.6] L·min−1; relative peak oxygen consumption 36.5 [10] mL·kg·min−1) performed a prone bench-pull and bench-press 1-repetition-maximum strength assessment, a 15-km individual time trial, a graded exercise test, and a 15-second all-out sprint test. Relationships between all variables were assessed using Pearson correlation coefficient. Results: Absolute strength measures displayed a large correlation with gross mechanical efficiency and maximum anaerobic power output (P = .05). However, only a small to moderate relationship was identified with all other measures. In contrast, relative strength measures demonstrated large to very large correlations with gross mechanical efficiency, 15-km time-trial velocity, maximum anaerobic power output, peak aerobic power output, power at a fixed blood lactate concentration of 4 mmol·L−1, and peak oxygen consumption (P = .05). Conclusion: Relative upper-body strength demonstrates a significant relationship with time-trial velocity and several handcycling performance measures. Relative strength is the product of one’s ability to generate maximal forces relative to body mass. Therefore, the development of one’s absolute strength combined with a reduction in body mass may influence real-world handcycling race performance.