Eric L Voorn1, Karin H Gerrits2, Fieke S Koopman3, Frans Nollet3, Anita Beelen3. 1. Department of Rehabilitation, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands; MOVE Research Institute Amsterdam, Faculty of Human Movement Sciences, VU University Amsterdam, Amsterdam, The Netherlands. Electronic address: e.l.voorn@amc.uva.nl. 2. MOVE Research Institute Amsterdam, Faculty of Human Movement Sciences, VU University Amsterdam, Amsterdam, The Netherlands. 3. Department of Rehabilitation, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Abstract
OBJECTIVES: To determine whether the anaerobic threshold (AT) can be identified in individuals with postpolio syndrome (PPS) using submaximal incremental exercise testing, and to compare current guidelines for intensity prescription in PPS with the AT. DESIGN: Cohort study. SETTING: Research laboratory. PARTICIPANTS: Individuals with PPS (N=82). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Power output, gas exchange variables, heart rate, and rating of perceived exertion (RPE) were measured in an incremental submaximal cycle ergometry test. Two independent observers identified the AT. Comparison of current guidelines for training intensity prescription in PPS (40%-60% heart rate reserve [HRR] or RPE of 12) with the AT was based on correlations between recommended heart rate and the heart rate at the AT. In addition, we determined the proportion of individuals that would have been recommended to train at an intensity corresponding to their AT. RESULTS: The AT was identified in 63 (77%) of the participants. Pearson correlation coefficients between the recommended heart rate and the heart rate at the AT were lower in cases of 40% HRR (r=.56) and 60% HRR (r=.50) than in cases of prescription based on the RPE (r=.86). Based on the RPE, 55% of the individuals would have been recommended to train at an intensity corresponding to their AT. This proportion was higher compared with 40% HRR (41%) or 60% HRR (18%) as criterion. CONCLUSIONS: The AT can be identified in most individuals with PPS offering an individualized target for aerobic training. If the AT cannot be identified (eg, because gas analysis equipment is not available), intensity prescription can best be based on the RPE.
OBJECTIVES: To determine whether the anaerobic threshold (AT) can be identified in individuals with postpolio syndrome (PPS) using submaximal incremental exercise testing, and to compare current guidelines for intensity prescription in PPS with the AT. DESIGN: Cohort study. SETTING: Research laboratory. PARTICIPANTS: Individuals with PPS (N=82). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Power output, gas exchange variables, heart rate, and rating of perceived exertion (RPE) were measured in an incremental submaximal cycle ergometry test. Two independent observers identified the AT. Comparison of current guidelines for training intensity prescription in PPS (40%-60% heart rate reserve [HRR] or RPE of 12) with the AT was based on correlations between recommended heart rate and the heart rate at the AT. In addition, we determined the proportion of individuals that would have been recommended to train at an intensity corresponding to their AT. RESULTS: The AT was identified in 63 (77%) of the participants. Pearson correlation coefficients between the recommended heart rate and the heart rate at the AT were lower in cases of 40% HRR (r=.56) and 60% HRR (r=.50) than in cases of prescription based on the RPE (r=.86). Based on the RPE, 55% of the individuals would have been recommended to train at an intensity corresponding to their AT. This proportion was higher compared with 40% HRR (41%) or 60% HRR (18%) as criterion. CONCLUSIONS: The AT can be identified in most individuals with PPS offering an individualized target for aerobic training. If the AT cannot be identified (eg, because gas analysis equipment is not available), intensity prescription can best be based on the RPE.
Authors: Eric L Voorn; Fieke S Koopman; Merel A Brehm; Anita Beelen; Arnold de Haan; Karin H L Gerrits; Frans Nollet Journal: PLoS One Date: 2016-07-15 Impact factor: 3.240
Authors: Sander Oorschot; Merel A Brehm; Annerieke C van Groenestijn; Fieke S Koopman; Camiel Verhamme; Filip Eftimov; Judith G M Jelsma; Harald T Jorstad; Frans Nollet; Eric L Voorn Journal: BMC Neurol Date: 2020-05-13 Impact factor: 2.474