The Experts below are selected from a list of 12774 Experts worldwide ranked by ideXlab platform
Sue Jenkins - One of the best experts on this subject based on the ideXlab platform.
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estimating peak work rate during incremental cycle Ergometry from the 6 minute walk distance differences between reference equations
Respiration, 2011Co-Authors: Kylie Hill, Anne E Holland, Jennifer A Alison, Nia Luxton, Martin Mackey, C J Hill, Sue JenkinsAbstract:Background: Prescription of an appropriate exercise training intensity is critical to optimise the outcomes of pulmonary rehabilitation; however, prescribing cycle Ergometry trainin
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estimating maximum work rate during incremental cycle Ergometry testing from six minute walk distance in patients with chronic obstructive pulmonary disease
Archives of Physical Medicine and Rehabilitation, 2008Co-Authors: Kylie Hill, Sue Jenkins, Nola M Cecins, Danielle L Philippe, David R Hillman, Peter R EastwoodAbstract:Abstract Hill K, Jenkins SC, Cecins N, Philippe DL, Hillman DR, Eastwood PR. Estimating maximum work rate during incremental cycle Ergometry testing from six-minute walk distance in patients with chronic obstructive pulmonary disease. Objective To develop a predictive equation to permit estimation of the maximum work rate (Wmax) achieved during an incremental cycle Ergometry test from the measurement of 6-minute walk distance (6MWD) and its derivative, 6-minute walk work, which is the product of 6MWD and body weight. Design Cross-sectional observational study. Setting Outpatient physiotherapy and pulmonary physiology clinics in a tertiary hospital. Participants Patients (N=50; 36 men) with chronic obstructive pulmonary disease (forced expiratory volume in 1 second [FEV 1 ]=37%±11% of predicted). Interventions Not applicable. Main Outcome Measures Measurements were obtained of 6MWD and Wmax achieved during a laboratory-based, symptom-limited incremental cycle Ergometry test. Linear regression analyses were performed using 6MWD, height, weight, and FEV 1 and using 6-minute walk work, height, and FEV 1 to determine their contribution to Wmax and to develop predictive equations for estimating Wmax. Results The equations derived to estimate Wmax using 6MWD and 6-minute walk work, respectively, were as follows: Wmax (W)=(0.122×6MWD)+(72.683×height [m])–117.109 ( r 2 =.67, standard error of the estimate [SEE]=10.8W) and Wmax (W)=17.393+(1.442×6-minute walk work) ( r 2 =.60, SEE=11.8W). Conclusions Wmax can be estimated from equations based on measurements of 6MWD or 6-minute walk work. The estimate of Wmax derived from either equation may provide a basis on which to prescribe cycle Ergometry training work rates that comply with the current guidelines for pulmonary rehabilitation.
Kylie Hill - One of the best experts on this subject based on the ideXlab platform.
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estimating peak work rate during incremental cycle Ergometry from the 6 minute walk distance differences between reference equations
Respiration, 2011Co-Authors: Kylie Hill, Anne E Holland, Jennifer A Alison, Nia Luxton, Martin Mackey, C J Hill, Sue JenkinsAbstract:Background: Prescription of an appropriate exercise training intensity is critical to optimise the outcomes of pulmonary rehabilitation; however, prescribing cycle Ergometry trainin
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estimating maximum work rate during incremental cycle Ergometry testing from six minute walk distance in patients with chronic obstructive pulmonary disease
Archives of Physical Medicine and Rehabilitation, 2008Co-Authors: Kylie Hill, Sue Jenkins, Nola M Cecins, Danielle L Philippe, David R Hillman, Peter R EastwoodAbstract:Abstract Hill K, Jenkins SC, Cecins N, Philippe DL, Hillman DR, Eastwood PR. Estimating maximum work rate during incremental cycle Ergometry testing from six-minute walk distance in patients with chronic obstructive pulmonary disease. Objective To develop a predictive equation to permit estimation of the maximum work rate (Wmax) achieved during an incremental cycle Ergometry test from the measurement of 6-minute walk distance (6MWD) and its derivative, 6-minute walk work, which is the product of 6MWD and body weight. Design Cross-sectional observational study. Setting Outpatient physiotherapy and pulmonary physiology clinics in a tertiary hospital. Participants Patients (N=50; 36 men) with chronic obstructive pulmonary disease (forced expiratory volume in 1 second [FEV 1 ]=37%±11% of predicted). Interventions Not applicable. Main Outcome Measures Measurements were obtained of 6MWD and Wmax achieved during a laboratory-based, symptom-limited incremental cycle Ergometry test. Linear regression analyses were performed using 6MWD, height, weight, and FEV 1 and using 6-minute walk work, height, and FEV 1 to determine their contribution to Wmax and to develop predictive equations for estimating Wmax. Results The equations derived to estimate Wmax using 6MWD and 6-minute walk work, respectively, were as follows: Wmax (W)=(0.122×6MWD)+(72.683×height [m])–117.109 ( r 2 =.67, standard error of the estimate [SEE]=10.8W) and Wmax (W)=17.393+(1.442×6-minute walk work) ( r 2 =.60, SEE=11.8W). Conclusions Wmax can be estimated from equations based on measurements of 6MWD or 6-minute walk work. The estimate of Wmax derived from either equation may provide a basis on which to prescribe cycle Ergometry training work rates that comply with the current guidelines for pulmonary rehabilitation.
Peter R Eastwood - One of the best experts on this subject based on the ideXlab platform.
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estimating maximum work rate during incremental cycle Ergometry testing from six minute walk distance in patients with chronic obstructive pulmonary disease
Archives of Physical Medicine and Rehabilitation, 2008Co-Authors: Kylie Hill, Sue Jenkins, Nola M Cecins, Danielle L Philippe, David R Hillman, Peter R EastwoodAbstract:Abstract Hill K, Jenkins SC, Cecins N, Philippe DL, Hillman DR, Eastwood PR. Estimating maximum work rate during incremental cycle Ergometry testing from six-minute walk distance in patients with chronic obstructive pulmonary disease. Objective To develop a predictive equation to permit estimation of the maximum work rate (Wmax) achieved during an incremental cycle Ergometry test from the measurement of 6-minute walk distance (6MWD) and its derivative, 6-minute walk work, which is the product of 6MWD and body weight. Design Cross-sectional observational study. Setting Outpatient physiotherapy and pulmonary physiology clinics in a tertiary hospital. Participants Patients (N=50; 36 men) with chronic obstructive pulmonary disease (forced expiratory volume in 1 second [FEV 1 ]=37%±11% of predicted). Interventions Not applicable. Main Outcome Measures Measurements were obtained of 6MWD and Wmax achieved during a laboratory-based, symptom-limited incremental cycle Ergometry test. Linear regression analyses were performed using 6MWD, height, weight, and FEV 1 and using 6-minute walk work, height, and FEV 1 to determine their contribution to Wmax and to develop predictive equations for estimating Wmax. Results The equations derived to estimate Wmax using 6MWD and 6-minute walk work, respectively, were as follows: Wmax (W)=(0.122×6MWD)+(72.683×height [m])–117.109 ( r 2 =.67, standard error of the estimate [SEE]=10.8W) and Wmax (W)=17.393+(1.442×6-minute walk work) ( r 2 =.60, SEE=11.8W). Conclusions Wmax can be estimated from equations based on measurements of 6MWD or 6-minute walk work. The estimate of Wmax derived from either equation may provide a basis on which to prescribe cycle Ergometry training work rates that comply with the current guidelines for pulmonary rehabilitation.
Mike Laymon - One of the best experts on this subject based on the ideXlab platform.
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The effect of previous weight training and concurrent weight training on endurance for functional electrical stimulation cycle Ergometry
European Journal of Applied Physiology, 2004Co-Authors: Jerrold Scott Petrofsky, Mike LaymonAbstract:Forty-five paraplegic subjects participated in three series of experiments to examine the interrelationships between previous weight training, concurrent weight training and muscle strength and endurance during cycle Ergometry elicited by functional electrical stimulation (FES). When subjects only underwent isokinetic weight training (series 1) three times per week on the quadriceps, hamstring and gluteus maximus groups for 12 weeks, strength increased linearly with time for all three muscle groups from an initial average of 17 N to 269 N at the end of training, a 15-fold increase. In the second series of experiments, different groups of subjects either underwent no strength training prior to cycle Ergometry or underwent strength training of these same three muscle groups for 2 weeks, four weeks, or 6 weeks prior to cycle Ergometry. Any strength training was effective in increasing endurance for cycle Ergometry. However, the rate of increase in endurance during cycle Ergometry with no prior strength training was only 5 min per week, whereas the rate of increase in cycle endurance during Ergometry was 14.6, 25.0, and 33.3 min per week increase in endurance after strength training for 2.4 and 6 weeks, respectively. When weight training was accomplished during FES cycle Ergometry (concurrently) in a third series of experiments, there was an additional increase in endurance during cycling if strength training was concurrently accomplished. With no weight training, endurance increased 23 min per week, whereas with concurrent weight training at three times per week, endurance increased during cycling by 41.6 min per week. The results of these experiments seem to show a clear advantage of weight training concurrently and before FES cycle Ergometry. Results are given as mean (SD).
Anne E Holland - One of the best experts on this subject based on the ideXlab platform.
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estimating peak work rate during incremental cycle Ergometry from the 6 minute walk distance differences between reference equations
Respiration, 2011Co-Authors: Kylie Hill, Anne E Holland, Jennifer A Alison, Nia Luxton, Martin Mackey, C J Hill, Sue JenkinsAbstract:Background: Prescription of an appropriate exercise training intensity is critical to optimise the outcomes of pulmonary rehabilitation; however, prescribing cycle Ergometry trainin