Sex Differences of Intermittent Elbow Flexion Power Using Various Loads

2008 ◽  
Vol 107 (2) ◽  
pp. 629-642
Author(s):  
Shunsuke Yamaji ◽  
Shinichi Demura ◽  
Kei Yamamoto
Keyword(s):  
Sex Difference ◽  
Power Output ◽  
Peak Power ◽  
Muscle Power ◽  
Elbow Flexion ◽  
Young Males ◽  
Significant Difference ◽  
Power Outputs ◽  
Increasing Load ◽  
Load Mass

This study was designed to clarity a sex difference in muscle power output properties by intermittent elbow flexion using various loads. 10 young males and 10 young females performed intermittent elbow flexion power outputs at 30 times × min.−1 for 1 min. using 30%, 40%, and 50% MVC loads. For both sexes, the decreasing peak power showed a similar trend between trials at all loads, and the reliability of each power parameter was good. The power outputs decreased largely with increasing load mass, and the power output in 50% MVC for males markedly decreased to the same level as that during the final phase in 30% MVC. Although the absolute value of regression coefficients for males became significantly larger with increasing load mass, that for females showed a significant difference only between 30% and 50% MVC. In 50% MVC, a large decrease for males was observed. Maximal peak power outputs were significantly larger with increasing load mass for both sexes, but for males more than for females. In both sexes, there were no significant differences among final powers of each load mass, and between total powers of 40% and 50% MVC. For the sum of every 5 consecutive power outputs, males showed significant differences between 30% and 40% MVC in all periods after the 6th contraction, but females did not and also between 30% and 50%. MVC in periods after the 16th contraction. In conclusion, it is considered that power outputs in the latter phases in 50% MVC are affected largely by muscle fatigue, and an intermittent power output test with 50% MVC can measure sustained power (fatigue resistance) in the latter phases, but there is a sex difference in the tendency to decrease.

Changes in Elbow Flexor Power with Intermittent Contractions and Various Loads

2008 ◽  
Vol 107 (2) ◽  
pp. 597-606
Author(s):  
Shunsuke Yamaji ◽  
Shinichi Demura ◽  
Hiroki Aoki ◽  
Kei Yamamoto
Keyword(s):  
Power Output ◽  
Peak Power ◽  
Muscle Power ◽  
Average Power ◽  
Elbow Flexion ◽  
Voluntary Contraction ◽  
Significant Difference ◽  
Average Power Output ◽  
Power Outputs ◽  
Intermittent Contractions

This study examined intermittent elbow flexion every 2 see. for 1 min. using various loads to study the properties of muscle power output and their relationship to peak power, defined as the maximum power output. 18 young men performed intermittent explosive elbow flexion (30 times × min.−1) using 30%, 40%, and 50% maximal voluntary contraction (MVC). The power outputs at 30% and 40% MVC slightly decreased (rate of decrease from peak power to average power output during the 26 to 30 contractions was about 5%). However, at 50% MVC, there was a marked decrease (33.6%). Power output for 8 contractions was significantly larger at 50% MVC than at 30% and 40% MVC, but after 9 contractions there was no significant difference between 40% and 50% MVC. In addition, after 27 contractions, 40% MVC was significantly larger than 30% and 50% MVC. That is, the tendency for power output to decrease differed among the various loads. The rate of decrease of power outputs showed no significant correlation with peak power for each load. Therefore, the rate of decrease or power output in intermittent contractions may help sustain the power output and cannot be evaluated as accurately as peak power.

Optimal Loading for Peak Power Output During the Hang Power Clean in Professional Rugby Players

2007 ◽  
Vol 2 (3) ◽  
pp. 260-269 ◽  
Author(s):  
Liam P. Kilduff ◽  
Huw Bevan ◽  
Nick Owen ◽  
Mike I.C. Kingsley ◽  
Paul Bunce ◽  
...  
Keyword(s):  
Power Output ◽  
Peak Power ◽  
Muscle Power ◽  
Peak Power Output ◽  
Relative Load ◽  
Optimal Load ◽  
Significant Difference ◽  
Sporting Activities ◽  
Power Clean ◽  
Rugby Players

Purpose:The ability to develop high levels of muscle power is considered an essential component of success in many sporting activities; however, the optimal load for the development of peak power during training remains controversial. The aim of the present study was to determine the optimal load required to observe peak power output (PPO) during the hang power clean in professional rugby players.Methods:Twelve professional rugby players performed hang power cleans on a portable force platform at loads of 30%, 40%, 50%, 60%, 70%, 80%, and 90% of their predetermined 1-repetition maximum (1-RM) in a randomized and balanced order.Results:Relative load had a significant effect on power output, with peak values being obtained at 80% of the subjects’ 1-RM (4466 ± 477 W; P < .001). There was no significant difference, however, between the power outputs at 50%, 60%, 70%, or 90% 1-RM compared with 80% 1-RM. Peak force was produced at 90% 1-RM with relative load having a significant effect on this variable; however, relative load had no effect on peak rate of force development or velocity during the hang power clean.Conclusions:The authors conclude that relative load has a significant effect on PPO during the hang power clean: Although PPO was obtained at 80% 1-RM, there was no significant difference between the loads ranging from 40% to 90% 1-RM. Individual determination of the optimal load for PPO is necessary in order to enhance individual training effects.

Combined Effect of Oxygen Enrichment and Dual Fueling on the Performance Behavior of a CI Engine Fueled With Pyro Oil–Diesel Blend as Fuel

2016 ◽  
Vol 138 (3) ◽  
Author(s):  
SenthilKumar Masimalai ◽  
Sasikumar Nandagopal
Keyword(s):  
Power Output ◽  
Peak Power ◽  
Diesel Oil ◽  
Oxygen Enrichment ◽  
Combined Effect ◽  
Superior Performance ◽  
Peak Power Output ◽  
Power Outputs ◽  
Effect Of Oxygen ◽  
Dual Fueling

This paper aims at studying the combined effect of oxygen enrichment and dual fueling on performance, emission, and combustion characteristics of a mono cylinder diesel engine using a blend of cashew nut shell pyro oil (CSO) and conventional diesel oil (called BD—base diesel) as fuel. Experiments were initially conducted using 100% BD as fuel at variable power output conditions. Subsequently, experiments were repeated with CSO40D60 (blend of 40% of CSO and 60% of BD by volume) at different power outputs. In the third phase, the engine was run with oxygen enrichment of 24% by volume in the intake air using CSO40D60 as fuel. Finally, the engine was operated in dual fuel mode of operation with the oxygen concentrations of 24% using CSO40D60 as pilot fuel and ethanol as the primary inducted fuel. Ethanol induction was made up to the maximum possible limit until misfire or knock. The brake thermal efficiency (BTE) was found as 25% with CSO40D60 29.5% and 30.5% with BD at the rated power output of 3.7 kW. The smoke number was noted as 55 filter smoke number (FSN) and 40 FSN, respectively, with CSO40D60 and BD. Hydrocarbon (HC) and carbon monoxide (CO) emissions were found to be higher with CSO40D60 as compared to BD. Ignition delay (ID) and combustion duration (CD) were also noted to be higher with CSO40D60 at all power outputs. Combined oxygen enrichment and ethanol induction sufficiently increased the BTE using CSO40D60 as fuel at all power outputs. At peak power output, the BTE was noted as 34.5%. The lowest smoke number of 36 FSN was found for 24% of oxygen with 34.3% of ethanol energy share at peak power output with CSO40D60 as fuel, whereas it was 40 FSN with BD and 55 FSN with CSO40D60 for 21% of oxygen. Significant improvement in heat release rates was observed by combining ethanol induction and oxygen enrichment techniques using CSO40D60 as fuel. Overall, it is concluded that by combining oxygen enrichment and ethanol induction superior performance and reduced emissions can be achieved at all power outputs using CSO40D60 as fuel.

scholarly journals A Comparative Study on the Performance Profile of Under-17 and Under-19 Handball Players Trained in the Sports School System

2020 ◽  
Vol 17 (21) ◽  
pp. 7979
Author(s):  
Tomasz Gabrys ◽  
Arkadiusz Stanula ◽  
Subir Gupta ◽  
Urszula Szmatlan-Gabrys ◽  
Daniela Benešová ◽  
...  
Keyword(s):  
Power Output ◽  
Age Groups ◽  
Sprint Performance ◽  
Maximal Velocity ◽  
Relative Power ◽  
Jump Performance ◽  
Absolute Power ◽  
Counter Movement Jump ◽  
Significant Difference ◽  
Power Outputs

This study evaluates the anatomical profiles, jump, sprint, power outputs, endurance, and peak blood lactate levels ([LA]peak) of handball players of two age groups—U17 (n = 77) and U19 (n = 46)—and analyses the role of training in their physical abilities. Vertical jump performance was determined by counter movement jump (CMJ) and counter movement jump with free arms (CMJFA) tests. A running-based anaerobic sprint test (RAST) determined the relative power output (watts/kg body weight) and absolute power output (watts) of the players. Sprint performance over 5 m, 10 m, and 30 m distances was evaluated. An incremental shuttle run test (40 m) was designed to determine aerobic threshold (AeT), anaerobic threshold (AnT), and [LA]peak. All parameters were measured for pivots, wingers, backs, and goalkeepers of each group. The U19 players were significantly heavier than the U17 group, but both the groups were nearly equal in height. The U19 group jumped higher than the U17 members, although the only significant difference (p = 0.032) was observed between the wingers of the groups in CMJ. Sprint performance varied marginally between the groups and only U19 pivots were found to be significantly (for distances of 5, 10, and 30 m: p = 0.047, p = 0.018, and p = 0.021, respectively) faster than U17 pivots. No difference in relative power output between the groups was noted, although the U19 players recorded higher absolute power outputs. Maximal velocity and velocities at the AeT and AnT were almost similar in the groups. Distance covered by the groups at the intensities of AeT and AnT varied only little. Higher [LA]peak was observed in the U19 players. U19 players failed to convert their superior power into speed and jump. The training pattern of the handball players needs to be revised so that U19 players may develop faster and be more enduring than the U17 group.

scholarly journals Intensity matters: effects of cadence and power output on corticospinal excitability during arm cycling are phase and muscle dependent

2018 ◽  
Vol 120 (6) ◽  
pp. 2908-2921 ◽  
Author(s):  
E. J. Lockyer ◽  
R. J. Benson ◽  
A. P. Hynes ◽  
L. R. Alcock ◽  
A. J. Spence ◽  
...  
Keyword(s):  
Evoked Potentials ◽  
Power Output ◽  
Motor Evoked Potentials ◽  
Elbow Flexion ◽  
Corticospinal Excitability ◽  
Peak Power Output ◽  
Triceps Brachii ◽  
Arm Cycling ◽  
Power Outputs ◽  
Spinal Excitability

The present study investigated the effects of cadence and power output on corticospinal excitability to the biceps (BB) and triceps brachii (TB) during arm cycling. Supraspinal and spinal excitability were assessed using transcranial magnetic stimulation (TMS) of the motor cortex and transmastoid electrical stimulation (TMES) of the corticospinal tract, respectively. Motor-evoked potentials (MEPs) elicited by TMS and cervicomedullary motor-evoked potentials (CMEPs) elicited by TMES were recorded at two positions during arm cycling corresponding to mid-elbow flexion and mid-elbow extension (i.e., 6 and 12 o’clock made relative to a clock face, respectively). Arm cycling was performed at combinations of two cadences (60 and 90 rpm) at three relative power outputs (20, 40, and 60% peak power output). At the 6 o’clock position, BB MEPs increased ~11.5% as cadence increased and up to ~57.2% as power output increased ( P < 0.05). In the TB, MEPs increased ~15.2% with cadence ( P = 0.013) but were not affected by power output, while CMEPs increased with cadence (~16.3%) and power output (up to ~19.1%, P < 0.05). At the 12 o’clock position, BB MEPs increased ~26.8% as cadence increased and up to ~96.1% as power output increased ( P < 0.05), while CMEPs decreased ~29.7% with cadence ( P = 0.013) and did not change with power output ( P = 0.851). In contrast, TB MEPs were not different with cadence or power output, while CMEPs increased ~12.8% with cadence and up to ~23.1% with power output ( P < 0.05). These data suggest that the “type” of intensity differentially modulates supraspinal and spinal excitability in a manner that is phase- and muscle dependent. NEW & NOTEWORTHY There is currently little information available on how changes in locomotor intensity influence excitability within the corticospinal pathway. This study investigated the effects of arm cycling intensity (i.e., alterations in cadence and power output) on corticospinal excitability projecting to the biceps and triceps brachii during arm cycling. We demonstrate that corticospinal excitability is modulated differentially by cadence and power output and that these modulations are dependent on the phase and the muscle examined.

Sprinting for the Win: Distribution of Power Output in Women’s Professional Cycling

2018 ◽  
Vol 13 (9) ◽  
pp. 1237-1242 ◽  
Author(s):  
Jeremiah J. Peiffer ◽  
Chris R. Abbiss ◽  
Eric C. Haakonssen ◽  
Paolo Menaspà
Keyword(s):  
Power Output ◽  
Peak Power ◽  
Peak Power Output ◽  
Maximal Power Output ◽  
Variable Nature ◽  
The Mean ◽  
Road Cyclists ◽  
Distribution Of Power ◽  
Power Outputs ◽  
Professional Cycling

Purpose:To examine the power-output distribution and sprint characteristics of professional female road cyclists.Methods:A total of 31 race files, representing top 5 finishes, were collected from 7 professional female cyclists. Files were analyzed for sprint characteristics, including mean and peak power output, velocity, and duration. The final 20 min before the sprint was analyzed to determine the mean maximal power output (MMP) consistent with durations of 5, 15, 30, 60, 240, and 600 s. Throughout the race, the number of efforts for each duration exceeding 80% of its corresponding final 20-min MMP (MMP80) was determined. The number of 15-s efforts exceeding 80% of the mean final sprint power output (MSP80) was determined.Results:Sprint finishes lasted 21.8 (6.7) s with mean and peak power outputs of 679 (101) and 886 (91) W, respectively. Throughout the race, additional 5-, 15-, and 30-s efforts above MMP80were completed in the 5th compared with the 1st–4th quintiles of the race. The 60-s efforts were greater during the 5th quintile compared with the 1st, 2nd, and 4th quintiles, and during the 3rd compared with the 4th quintile. More 240-s efforts were recorded during the 5th compared with the 1st and 4th quintiles. About 82% of the 15-s efforts above MSP80were completed in the 2nd, 3rd, and 5th quintiles of the race.Conclusions:These data demonstrate the variable nature of women’s professional cycling and the physical demands necessary for success, thus providing information that could enhance in-race decision making and the development of race-specific training programs.

scholarly journals Muscle power output limits fast-start performance in fish.

1998 ◽  
Vol 201 (10) ◽  
pp. 1505-1526 ◽  
Author(s):  
J M Wakeling ◽  
I A Johnston
Keyword(s):  
Muscle Mass ◽  
Power Output ◽  
White Muscle ◽  
Muscle Power ◽  
Specific Power ◽  
Muscle Dynamics ◽  
Power Outputs ◽  
Work Loop ◽  
Muscle Power Output

Fast-starts associated with escape responses were filmed at the median habitat temperatures of six teleost fish: Notothenia coriiceps and Notothenia rossii (Antarctica), Myoxocephalus scorpius (North Sea), Scorpaena notata and Serranus cabrilla (Mediterranean) and Paracirrhites forsteri (Indo-West-Pacific Ocean). Methods are presented for estimating the spine positions for silhouettes of swimming fish. These methods were used to validate techniques for calculating kinematics and muscle dynamics during fast-starts. The starts from all species show common patterns, with waves of body curvature travelling from head to tail and increasing in amplitude. Cross-validation with sonomicrometry studies allowed gearing ratios between the red and white muscle to be calculated. Gearing ratios must decrease towards the tail with a corresponding change in muscle geometry, resulting in similar white muscle fibre strains in all the myotomes during the start. A work-loop technique was used to measure mean muscle power output at similar strain and shortening durations to those found in vivo. The fast Sc. notata myotomal fibres produced a mean muscle-mass-specific power of 142.7 W kg-1 at 20 degrees C. Velocity, acceleration and hydrodynamic power output increased both with the travelling rate of the wave of body curvature and with the habitat temperature. At all temperatures, the predicted mean muscle-mass-specific power outputs, as calculated from swimming sequences, were similar to the muscle power outputs measured from work-loop experiments.

Slow muscle power output of yellow- and silver-phase European eels (Anguilla anguilla L.): changes in muscle performance prior to migration

2001 ◽  
Vol 204 (7) ◽  
pp. 1369-1379 ◽  
Author(s):  
D.J. Ellerby ◽  
I.L. Spierts ◽  
J.D. Altringham
Keyword(s):  
Life History ◽  
Power Output ◽  
Muscle Power ◽  
Anguilla Anguilla ◽  
Slow Muscle ◽  
The Body ◽  
Body Axis ◽  
Power Outputs ◽  
Stimulus Offset ◽  
Muscle Power Output

Eels swim in the anguilliform mode in which the majority of the body axis undulates to generate thrust. For this reason, muscle function has been hypothesised to be relatively uniform along the body axis relative to some other teleosts in which the caudal fin is the main site of thrust production. The European eel (Anguilla anguilla L.) has a complex life cycle involving a lengthy spawning migration. Prior to migration, there is a metamorphosis from a yellow (non-migratory) to a silver (migratory) life-history phase. The work loop technique was used to determine slow muscle power outputs in yellow- and silver-phase eels. Differences in muscle properties and power outputs were apparent between yellow- and silver-phase eels. The mass-specific power output of silver-phase slow muscle was greater than that of yellow-phase slow muscle. Maximum slow muscle power outputs under approximated in vivo conditions were 0.24 W kg(−)(1) in yellow-phase eel and 0.74 W kg(−)(1) in silver-phase eel. Power output peaked at cycle frequencies of 0.3-0.5 Hz in yellow-phase slow muscle and at 0.5-0.8 Hz in silver-phase slow muscle. The time from stimulus offset to 90 % relaxation was significantly greater in yellow- than in silver-phase eels. The time from stimulus onset to peak force was not significantly different between life-history stages or axial locations. Yellow-phase eels shifted to intermittent bursts of higher-frequency tailbeats at a lower swimming speed than silver-phase eels. This may indicate recruitment of fast muscle at low speeds in yellow-phase eels to compensate for a relatively lower slow muscle power output and operating frequency.

A phenomenological model of muscle fatigue and the power-endurance relationship

2012 ◽  
Vol 113 (10) ◽  
pp. 1643-1651 ◽  
Author(s):  
A. James ◽  
S. Green
Keyword(s):  
Phenomenological Model ◽  
Power Output ◽  
Goodness Of Fit ◽  
Maximal Exercise ◽  
Muscle Power ◽  
Motor Units ◽  
Time Profile ◽  
Human Power ◽  
Power Outputs ◽  
The Relationship

The relationship between power output and the time that it can be sustained during exercise (i.e., endurance) at high intensities is curvilinear. Although fatigue is implicit in this relationship, there is little evidence pertaining to it. To address this, we developed a phenomenological model that predicts the temporal response of muscle power during submaximal and maximal exercise and which was based on the type, contractile properties (e.g., fatiguability), and recruitment of motor units (MUs) during exercise. The model was first used to predict power outputs during all-out exercise when fatigue is clearly manifest and for several distributions of MU type. The model was then used to predict times that different submaximal power outputs could be sustained for several MU distributions, from which several power-endurance curves were obtained. The model was simultaneously fitted to two sets of human data pertaining to all-out exercise (power-time profile) and submaximal exercise (power-endurance relationship), yielding a high goodness of fit ( R2 = 0.96–0.97). This suggested that this simple model provides an accurate description of human power output during submaximal and maximal exercise and that fatigue-related processes inherent in it account for the curvilinearity of the power-endurance relationship.

Validity and Reliability of the Garmin Vector Power Meter in Laboratory and Field Cycling

2017 ◽  
Vol 38 (06) ◽  
pp. 439-446 ◽  
Author(s):  
Alfred Nimmerichter ◽  
Lukas Schnitzer ◽  
Bernhard Prinz ◽  
Dieter Simon ◽  
Klaus Wirth
Keyword(s):  
Power Output ◽  
Peak Power ◽  
Field Conditions ◽  
Validity And Reliability ◽  
Good Reliability ◽  
Power Meter ◽  
Typical Error ◽  
Significant Difference ◽  
Sprint Cycling ◽  
S Peak

AbstractTo assess the validity and reliability of the Garmin Vector against the SRM power meter, 6 cyclists completed 3 continuous trials at power outputs from 100–300 W at 50–90 rev·min−1 and a 5-min time trial in laboratory and field conditions. In field conditions only, a 30-s sprint was performed. Data were compared with paired samples t-tests, with the 95% limits of agreement (LoA) and the typical error. Reliability was calculated as the coefficient of variation (CV). There was no significant difference between the devices in power output in laboratory (p=0.245) and field conditions (p=0.312). 1-s peak power was significantly different between the devices (p=0.043). The LoA were ~1.0±5.0 W and ~0.5±0.5 rev·min−1 in both conditions. The LoA during the 30-s sprint was 6.3±38.9 W and for 1-s peak power it was 18.8±17.1 W. The typical error for power output was 2.9%, while during sprint cycling it was 7.4% for 30-s and 2.7% for 1-s peak power. For cadence, the typical error was below 1.0%. The mean CVs were ~1.0% and ~3.0% for the SRM and Garmin, respectively. These findings suggest, that the Garmin Vector is a valid alternative for training. However, during sprint cycling there is lower agreement with the SRM power meter. Both devices provide good reliability (CV<3.0%).

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