Work Capacity

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Haley C Bergstrom - One of the best experts on this subject based on the ideXlab platform.

  • contributions of lower body strength parameters to critical power and anaerobic Work Capacity
    Journal of Strength and Conditioning Research, 2021
    Co-Authors: Travis M Byrd, Brian J Wallace, Jody L Clasey, Haley C Bergstrom
    Abstract:

    ABSTRACT Byrd, MT, Wallace, BJ, Clasey, JL, and Bergstrom, HC. Contributions of lower-body strength parameters to critical power and anaerobic Work Capacity. J Strength Cond Res 35(1): 97-101, 2021-This study examined the contribution of lower-body strength and isokinetic peak torque measures to the prediction of critical power (CP) and anaerobic Work Capacity (AWC). Fourteen recreationally trained males (mean ± SD age: 22.4 ± 2.5 years; height: 177.9 ± 7.7 cm; body mass: 84.2 ± 12.4 kg) with anaerobic training experience participated in this study. The lower-body strength measures included 1 repetition max bilateral back squat (BSq), isokinetic peak torque at 30°·s-1 [PT30], and isokinetic peak torque at 240°·s-1 [PT240] of the dominant leg. The CP and AWC were determined from the 3-minute all-out CP cycle ergometer test (CP3MT), with the resistance set at 4.5% of the total body mass. The CP was defined as the mean power output over the final 30 seconds of the test, and the AWC was calculated using the equation, AWC = 150 seconds (P150 - CP), where P150 equals the mean power output for the first 150 seconds. Stepwise regression analyses indicated that only BSq contributed significantly to the prediction of AWC (AWC = 0.0527 [BSq] + 8.094 [standard error of estimate = 2.151 kJ; p = 0.012]), with a correlation of r2 = 0.423. None of the strength parameters significantly predicted CP. These findings indicated that BSq strength accounted for 42% of the variance in AWC, but lower-body strength was not related to CP. The current results indirectly support the unique metabolic characteristics of both CP and AWC in providing separate measures of an individual's aerobic and anaerobic capabilities, respectively.

  • contributions of lower body strength parameters to critical power and anaerobic Work Capacity
    Journal of Strength and Conditioning Research, 2021
    Co-Authors: Travis M Byrd, Brian J Wallace, Jody L Clasey, Haley C Bergstrom
    Abstract:

    This study examined the contribution of lower-body strength and isokinetic peak torque measures to the prediction of critical power (CP) and anaerobic Work Capacity (AWC). Fourteen recreationally trained males (mean +/- SD age: 22.4 +/- 2.5 years; height: 177.9 +/- 7.7 cm; body mass: 84.2 +/- 12.4 kg) with anaerobic training experience participated in this study. The lower-body strength measures included 1 repetition max bilateral back squat (BSq), isokinetic peak torque at 30[degrees][middle dot]s-1 [PT30], and isokinetic peak torque at 240[degrees][middle dot]s-1 [PT240] of the dominant leg. The CP and AWC were determined from the 3-minute all-out CP cycle ergometer test (CP3MT), with the resistance set at 4.5% of the total body mass. The CP was defined as the mean power output over the final 30 seconds of the test, and the AWC was calculated using the equation, AWC = 150 seconds (P150 - CP), where P150 equals the mean power output for the first 150 seconds. Stepwise regression analyses indicated that only BSq contributed significantly to the prediction of AWC (AWC = 0.0527 [BSq] + 8.094 [standard error of estimate = 2.151 kJ; p = 0.012]), with a correlation of r2 = 0.423. None of the strength parameters significantly predicted CP. These findings indicated that BSq strength accounted for 42% of the variance in AWC, but lower-body strength was not related to CP. The current results indirectly support the unique metabolic characteristics of both CP and AWC in providing separate measures of an individual's aerobic and anaerobic capabilities, respectively.

  • contributions of body composition characteristics to critical power and anaerobic Work Capacity
    International Journal of Sports Physiology and Performance, 2017
    Co-Authors: Travis M Byrd, Brian J Wallace, Jody L Clasey, Jonathan R Switalla, Joel E Eastman, Haley C Bergstrom
    Abstract:

    Critical power (CP) and anaerobic Work Capacity (AWC) from the CP test represent distinct parameters related to metabolic characteristics of the whole body and active muscle tissue, respectively.PURPOSE:This study examined the contribution of whole body composition characteristics and local lean mass to further elucidate the differences in metabolic characteristics between CP and AWC as they relate to whole body and local factors.METHODS:Fifteen, anaerobically trained males were assessed for whole body (% body fat [%BF] and mineral-free, lean mass [LBM]) and local mineral-free thigh lean mass (TLM) composition characteristic. The CP and AWC were determined from the 3-min all-out CP test. Statistical analyses included Pearson product-moment correlations and stepwise multiple regression analyses (p ≤ 0.05).RESULTS:Only LBM contributed significantly to the prediction of CP (CP = 2.3[LBM] + 56.7 [r2 = 0.346; SEE = 31.4W; p = 0.021]) and only TLM to AWC (AWC = 0.8[TLM] + 3.7 [r2 = 0.479; SEE = 2.2kJ; p = 0.004...

  • differences among estimates of critical power and anaerobic Work Capacity derived from five mathematical models and the three minute all out test
    Journal of Strength and Conditioning Research, 2014
    Co-Authors: Haley C Bergstrom, Terry J Housh, Jorge M Zuniga, Clayton L Camic, Daniel A Traylor, Richard J Schmidt, Robert W Lewis, Glen O Johnson
    Abstract:

    Estimates of critical power (CP) and anaerobic Work Capacity (AWC) from the power output vs. time relationship have been derived from various mathematical models. The purpose of this study was to examine estimates of CP and AWC from the multiple Work bout, 2- and 3-parameter models, and those from the 3-minute all-out CP (CP3min) test. Nine college-aged subjects performed a maximal incremental test to determine the peak oxygen consumption rate and the gas exchange threshold. On separate days, each subject completed 4 randomly ordered constant power output rides to exhaustion to estimate CP and AWC from 5 regression models (2 linear, 2 nonlinear, and 1 exponential). During the final visit, CP and AWC were estimated from the CP3min test. The nonlinear 3-parameter (Nonlinear-3) model produced the lowest estimate of CP. The exponential (EXP) model and the CP3min test were not statistically different and produced the highest estimates of CP. Critical power estimated from the Nonlinear-3 model was 14% less than those from the EXP model and the CP3min test and 4–6% less than those from the linear models. Furthermore, the Nonlinear-3 and nonlinear 2-parameter (Nonlinear-2) models produced significantly greater estimates of AWC than did the linear models and CP3min. The current findings suggested that the Nonlinear-3 model may provide estimates of CP and AWC that more accurately reflect the asymptote of the power output vs. time relationship, the demarcation of the heavy and severe exercise intensity domains, and anaerobic capabilities than will the linear models and CP3min test.

  • a new single Work bout test to estimate critical power and anaerobic Work Capacity
    Journal of Strength and Conditioning Research, 2012
    Co-Authors: Haley C Bergstrom, Terry J Housh, Jorge M Zuniga, Clayton L Camic, Daniel A Traylor, Richard J Schmidt, Glen O Johnson
    Abstract:

    The purpose of this study was to develop a 3-minute, all-out test protocol using the Monark cycle ergometer for estimating the critical power (CP) and anaerobic Work Capacity (AWC) with the resistance based on body weight. Twelve moderately trained adults (mean age ± SD = 23.2 ± 3.5 years) performed an incremental cycle ergometer test to exhaustion. The CP and AWC were estimated from the original Work limit (Wlim) vs. time limit (Tlim) relationship (CPPT) and a 3-minute all-out test (CP3min) against a fixed resistance and compared with the CP and AWC estimated from the new 3-minute tests on the Monark cycle ergometer (CP3.5% and CP4.5%). The resistance values for the CP3.5% and CP4.5% tests were set at 3.5 and 4.5% of the subject's body weight (kilograms). The results indicated that there were no significant differences (p > 0.05) among mean CP values for CPPT (178 ± 47 W), CP3.5% (173 ± 40 W), and CP4.5% (186 ± 44 W). The mean CP3min (193 ± 54 W), however, was significantly greater than CPPT and CP3.5%. There were no significant differences in AWC for the CPPT (13,412 ± 6,247 J), CP3min (10,895 ± 2,923 J), and CP4.5% (9,842 ± 4,394 J). The AWC values for the CPPT and CP3min, however, were significantly greater than CP3.5% (8,357 ± 2,946 J). The results of this study indicated that CP and AWC could be estimated from a single 3-minute Work bout test on the Monark cycle ergometer with the resistance set at 4.5% of the body weight. A single Work bout test with the resistance based on the individual's body weight provides a practical and accessible method to estimate CP and AWC.

Christer Malm - One of the best experts on this subject based on the ideXlab platform.

Travis M Byrd - One of the best experts on this subject based on the ideXlab platform.

  • contributions of lower body strength parameters to critical power and anaerobic Work Capacity
    Journal of Strength and Conditioning Research, 2021
    Co-Authors: Travis M Byrd, Brian J Wallace, Jody L Clasey, Haley C Bergstrom
    Abstract:

    ABSTRACT Byrd, MT, Wallace, BJ, Clasey, JL, and Bergstrom, HC. Contributions of lower-body strength parameters to critical power and anaerobic Work Capacity. J Strength Cond Res 35(1): 97-101, 2021-This study examined the contribution of lower-body strength and isokinetic peak torque measures to the prediction of critical power (CP) and anaerobic Work Capacity (AWC). Fourteen recreationally trained males (mean ± SD age: 22.4 ± 2.5 years; height: 177.9 ± 7.7 cm; body mass: 84.2 ± 12.4 kg) with anaerobic training experience participated in this study. The lower-body strength measures included 1 repetition max bilateral back squat (BSq), isokinetic peak torque at 30°·s-1 [PT30], and isokinetic peak torque at 240°·s-1 [PT240] of the dominant leg. The CP and AWC were determined from the 3-minute all-out CP cycle ergometer test (CP3MT), with the resistance set at 4.5% of the total body mass. The CP was defined as the mean power output over the final 30 seconds of the test, and the AWC was calculated using the equation, AWC = 150 seconds (P150 - CP), where P150 equals the mean power output for the first 150 seconds. Stepwise regression analyses indicated that only BSq contributed significantly to the prediction of AWC (AWC = 0.0527 [BSq] + 8.094 [standard error of estimate = 2.151 kJ; p = 0.012]), with a correlation of r2 = 0.423. None of the strength parameters significantly predicted CP. These findings indicated that BSq strength accounted for 42% of the variance in AWC, but lower-body strength was not related to CP. The current results indirectly support the unique metabolic characteristics of both CP and AWC in providing separate measures of an individual's aerobic and anaerobic capabilities, respectively.

  • contributions of lower body strength parameters to critical power and anaerobic Work Capacity
    Journal of Strength and Conditioning Research, 2021
    Co-Authors: Travis M Byrd, Brian J Wallace, Jody L Clasey, Haley C Bergstrom
    Abstract:

    This study examined the contribution of lower-body strength and isokinetic peak torque measures to the prediction of critical power (CP) and anaerobic Work Capacity (AWC). Fourteen recreationally trained males (mean +/- SD age: 22.4 +/- 2.5 years; height: 177.9 +/- 7.7 cm; body mass: 84.2 +/- 12.4 kg) with anaerobic training experience participated in this study. The lower-body strength measures included 1 repetition max bilateral back squat (BSq), isokinetic peak torque at 30[degrees][middle dot]s-1 [PT30], and isokinetic peak torque at 240[degrees][middle dot]s-1 [PT240] of the dominant leg. The CP and AWC were determined from the 3-minute all-out CP cycle ergometer test (CP3MT), with the resistance set at 4.5% of the total body mass. The CP was defined as the mean power output over the final 30 seconds of the test, and the AWC was calculated using the equation, AWC = 150 seconds (P150 - CP), where P150 equals the mean power output for the first 150 seconds. Stepwise regression analyses indicated that only BSq contributed significantly to the prediction of AWC (AWC = 0.0527 [BSq] + 8.094 [standard error of estimate = 2.151 kJ; p = 0.012]), with a correlation of r2 = 0.423. None of the strength parameters significantly predicted CP. These findings indicated that BSq strength accounted for 42% of the variance in AWC, but lower-body strength was not related to CP. The current results indirectly support the unique metabolic characteristics of both CP and AWC in providing separate measures of an individual's aerobic and anaerobic capabilities, respectively.

  • contributions of body composition characteristics to critical power and anaerobic Work Capacity
    International Journal of Sports Physiology and Performance, 2017
    Co-Authors: Travis M Byrd, Brian J Wallace, Jody L Clasey, Jonathan R Switalla, Joel E Eastman, Haley C Bergstrom
    Abstract:

    Critical power (CP) and anaerobic Work Capacity (AWC) from the CP test represent distinct parameters related to metabolic characteristics of the whole body and active muscle tissue, respectively.PURPOSE:This study examined the contribution of whole body composition characteristics and local lean mass to further elucidate the differences in metabolic characteristics between CP and AWC as they relate to whole body and local factors.METHODS:Fifteen, anaerobically trained males were assessed for whole body (% body fat [%BF] and mineral-free, lean mass [LBM]) and local mineral-free thigh lean mass (TLM) composition characteristic. The CP and AWC were determined from the 3-min all-out CP test. Statistical analyses included Pearson product-moment correlations and stepwise multiple regression analyses (p ≤ 0.05).RESULTS:Only LBM contributed significantly to the prediction of CP (CP = 2.3[LBM] + 56.7 [r2 = 0.346; SEE = 31.4W; p = 0.021]) and only TLM to AWC (AWC = 0.8[TLM] + 3.7 [r2 = 0.479; SEE = 2.2kJ; p = 0.004...

Annsofie Lindberg - One of the best experts on this subject based on the ideXlab platform.

Jody L Clasey - One of the best experts on this subject based on the ideXlab platform.

  • contributions of lower body strength parameters to critical power and anaerobic Work Capacity
    Journal of Strength and Conditioning Research, 2021
    Co-Authors: Travis M Byrd, Brian J Wallace, Jody L Clasey, Haley C Bergstrom
    Abstract:

    ABSTRACT Byrd, MT, Wallace, BJ, Clasey, JL, and Bergstrom, HC. Contributions of lower-body strength parameters to critical power and anaerobic Work Capacity. J Strength Cond Res 35(1): 97-101, 2021-This study examined the contribution of lower-body strength and isokinetic peak torque measures to the prediction of critical power (CP) and anaerobic Work Capacity (AWC). Fourteen recreationally trained males (mean ± SD age: 22.4 ± 2.5 years; height: 177.9 ± 7.7 cm; body mass: 84.2 ± 12.4 kg) with anaerobic training experience participated in this study. The lower-body strength measures included 1 repetition max bilateral back squat (BSq), isokinetic peak torque at 30°·s-1 [PT30], and isokinetic peak torque at 240°·s-1 [PT240] of the dominant leg. The CP and AWC were determined from the 3-minute all-out CP cycle ergometer test (CP3MT), with the resistance set at 4.5% of the total body mass. The CP was defined as the mean power output over the final 30 seconds of the test, and the AWC was calculated using the equation, AWC = 150 seconds (P150 - CP), where P150 equals the mean power output for the first 150 seconds. Stepwise regression analyses indicated that only BSq contributed significantly to the prediction of AWC (AWC = 0.0527 [BSq] + 8.094 [standard error of estimate = 2.151 kJ; p = 0.012]), with a correlation of r2 = 0.423. None of the strength parameters significantly predicted CP. These findings indicated that BSq strength accounted for 42% of the variance in AWC, but lower-body strength was not related to CP. The current results indirectly support the unique metabolic characteristics of both CP and AWC in providing separate measures of an individual's aerobic and anaerobic capabilities, respectively.

  • contributions of lower body strength parameters to critical power and anaerobic Work Capacity
    Journal of Strength and Conditioning Research, 2021
    Co-Authors: Travis M Byrd, Brian J Wallace, Jody L Clasey, Haley C Bergstrom
    Abstract:

    This study examined the contribution of lower-body strength and isokinetic peak torque measures to the prediction of critical power (CP) and anaerobic Work Capacity (AWC). Fourteen recreationally trained males (mean +/- SD age: 22.4 +/- 2.5 years; height: 177.9 +/- 7.7 cm; body mass: 84.2 +/- 12.4 kg) with anaerobic training experience participated in this study. The lower-body strength measures included 1 repetition max bilateral back squat (BSq), isokinetic peak torque at 30[degrees][middle dot]s-1 [PT30], and isokinetic peak torque at 240[degrees][middle dot]s-1 [PT240] of the dominant leg. The CP and AWC were determined from the 3-minute all-out CP cycle ergometer test (CP3MT), with the resistance set at 4.5% of the total body mass. The CP was defined as the mean power output over the final 30 seconds of the test, and the AWC was calculated using the equation, AWC = 150 seconds (P150 - CP), where P150 equals the mean power output for the first 150 seconds. Stepwise regression analyses indicated that only BSq contributed significantly to the prediction of AWC (AWC = 0.0527 [BSq] + 8.094 [standard error of estimate = 2.151 kJ; p = 0.012]), with a correlation of r2 = 0.423. None of the strength parameters significantly predicted CP. These findings indicated that BSq strength accounted for 42% of the variance in AWC, but lower-body strength was not related to CP. The current results indirectly support the unique metabolic characteristics of both CP and AWC in providing separate measures of an individual's aerobic and anaerobic capabilities, respectively.

  • contributions of body composition characteristics to critical power and anaerobic Work Capacity
    International Journal of Sports Physiology and Performance, 2017
    Co-Authors: Travis M Byrd, Brian J Wallace, Jody L Clasey, Jonathan R Switalla, Joel E Eastman, Haley C Bergstrom
    Abstract:

    Critical power (CP) and anaerobic Work Capacity (AWC) from the CP test represent distinct parameters related to metabolic characteristics of the whole body and active muscle tissue, respectively.PURPOSE:This study examined the contribution of whole body composition characteristics and local lean mass to further elucidate the differences in metabolic characteristics between CP and AWC as they relate to whole body and local factors.METHODS:Fifteen, anaerobically trained males were assessed for whole body (% body fat [%BF] and mineral-free, lean mass [LBM]) and local mineral-free thigh lean mass (TLM) composition characteristic. The CP and AWC were determined from the 3-min all-out CP test. Statistical analyses included Pearson product-moment correlations and stepwise multiple regression analyses (p ≤ 0.05).RESULTS:Only LBM contributed significantly to the prediction of CP (CP = 2.3[LBM] + 56.7 [r2 = 0.346; SEE = 31.4W; p = 0.021]) and only TLM to AWC (AWC = 0.8[TLM] + 3.7 [r2 = 0.479; SEE = 2.2kJ; p = 0.004...

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