You are here

Mathematical Modeling of Heart Rate Deflection Point in Relation to Respiratory Compensation and Treadmill Running Performance

Download pdf | Full Screen View

Date Issued:
2016
Abstract/Description:
Heart rate deflection point (HRDP), identified as the second breakpoint in the (")intensity / heart rate(") relationship, is indicative of the anaerobic threshold (AT). This point can be determined via bi-segmental linear regression (2SEG) or through use of the maximal distance model (D-max); however, the relationship between these methods has yet to be investigated 2. Purpose: To compare the use of 2SEG and D-max methods to determine HRDP and to examine the relationship between these values with a metabolic threshold, respiratory compensation point (RCP), as well as running performance [5,000 meter treadmill time trial (5Ktime)]. Methods: Nineteen recreationally active men (n=9, 25.56(&)#177;3.17 y, 1.77(&)#177;0.05 m, 83.52(&)#177;6.77 kg, 48.98(&)#177;7.37 ml(&)#183;kg(&)#183;min-1) and women (n=10, 22.78(&)#177;2.11 y, 1.64(&)#177;0.07 m, 62.28(&)#177;6.20 kg, 42.32(&)#177;4.13 ml(&)#183;kg(&)#183;min-1) were recruited for this study. Participants completed two experimental trials, consisting of a graded exercise test to exhaustion (GXT) and 5,000m time trial on the treadmill. Estimates of HRDP and RCP were calculated from data collected during the GXT. One-way repeated measures analysis of variance was used to compare HRDP found through 2SEG (HRDP2SEG), HRDP found through D-max (HRDPD-max), and RCP. Pearson product moment correlations were used to examine the relationship between variables (HRDP2SEG, HRDPD-max, RCP, and 5Ktime). Results: No differences were found between HRDP2SEG (176.70(&)#177;9.40 bpm), HRDPD-max (178.18(&)#177;6.85 bpm), and RCP (176.92(&)#177;6.63 bpm) (p = 0.533). Strong correlations were found between HRDP2SEG and HRDPD-max (r = 0.831, p (<) 0.0001), RCP and HRDP2SEG (r = 0.650, p = 0.003), and RCP and HRDPD-max (r = 0.619, p = 0.005). No relationship was found between 5Ktime and HRDP2SEG (r = 0.419, p = 0.074), HRDPD-max (r = 0.241, p = 0.321), or RCP (r = 0.193, p = 0.429). Similar limits of agreement were found for all comparisons (HRDP2SEG and RCP, p = 0.070; HRDPD-max and RCP, p = 0.868; HRDP2SEG and HRDPD-max, p = 0.029), however, systematic bias was found between HRDP2SEG and HRDPD-max. Conclusion: Based on these results, HRDP2SEG and HRDPD-max could potentially be used interchangeably as methods to determine HRDP. However, the potential for systematic bias must be taken into consideration. Additionally, the results indicate that RCP and HRDP may provide similar estimates of the anaerobic threshold, but none of these thresholds appear to be related to 5Ktime on a treadmill.
Title: Mathematical Modeling of Heart Rate Deflection Point in Relation to Respiratory Compensation and Treadmill Running Performance.
44 views
22 downloads
Name(s): Baker, Kayla, Author
Fukuda, David, Committee Chair
Hoffman, Jay, Committee Member
Stout, Jeffrey, Committee Member
University of Central Florida, Degree Grantor
Type of Resource: text
Date Issued: 2016
Publisher: University of Central Florida
Language(s): English
Abstract/Description: Heart rate deflection point (HRDP), identified as the second breakpoint in the (")intensity / heart rate(") relationship, is indicative of the anaerobic threshold (AT). This point can be determined via bi-segmental linear regression (2SEG) or through use of the maximal distance model (D-max); however, the relationship between these methods has yet to be investigated 2. Purpose: To compare the use of 2SEG and D-max methods to determine HRDP and to examine the relationship between these values with a metabolic threshold, respiratory compensation point (RCP), as well as running performance [5,000 meter treadmill time trial (5Ktime)]. Methods: Nineteen recreationally active men (n=9, 25.56(&)#177;3.17 y, 1.77(&)#177;0.05 m, 83.52(&)#177;6.77 kg, 48.98(&)#177;7.37 ml(&)#183;kg(&)#183;min-1) and women (n=10, 22.78(&)#177;2.11 y, 1.64(&)#177;0.07 m, 62.28(&)#177;6.20 kg, 42.32(&)#177;4.13 ml(&)#183;kg(&)#183;min-1) were recruited for this study. Participants completed two experimental trials, consisting of a graded exercise test to exhaustion (GXT) and 5,000m time trial on the treadmill. Estimates of HRDP and RCP were calculated from data collected during the GXT. One-way repeated measures analysis of variance was used to compare HRDP found through 2SEG (HRDP2SEG), HRDP found through D-max (HRDPD-max), and RCP. Pearson product moment correlations were used to examine the relationship between variables (HRDP2SEG, HRDPD-max, RCP, and 5Ktime). Results: No differences were found between HRDP2SEG (176.70(&)#177;9.40 bpm), HRDPD-max (178.18(&)#177;6.85 bpm), and RCP (176.92(&)#177;6.63 bpm) (p = 0.533). Strong correlations were found between HRDP2SEG and HRDPD-max (r = 0.831, p (<) 0.0001), RCP and HRDP2SEG (r = 0.650, p = 0.003), and RCP and HRDPD-max (r = 0.619, p = 0.005). No relationship was found between 5Ktime and HRDP2SEG (r = 0.419, p = 0.074), HRDPD-max (r = 0.241, p = 0.321), or RCP (r = 0.193, p = 0.429). Similar limits of agreement were found for all comparisons (HRDP2SEG and RCP, p = 0.070; HRDPD-max and RCP, p = 0.868; HRDP2SEG and HRDPD-max, p = 0.029), however, systematic bias was found between HRDP2SEG and HRDPD-max. Conclusion: Based on these results, HRDP2SEG and HRDPD-max could potentially be used interchangeably as methods to determine HRDP. However, the potential for systematic bias must be taken into consideration. Additionally, the results indicate that RCP and HRDP may provide similar estimates of the anaerobic threshold, but none of these thresholds appear to be related to 5Ktime on a treadmill.
Identifier: CFE0006070 (IID), ucf:50944 (fedora)
Note(s): 2016-05-01
M.S.
Education and Human Performance, Educational and Human Sciences
Masters
This record was generated from author submitted information.
Subject(s): Heart rate deflection point -- respiratory compensation point -- running performance -- Conconi test -- heart rate threshold -- Dmax -- bi-segmental linear regression -- 5k running -- 5000m running
Persistent Link to This Record: http://purl.flvc.org/ucf/fd/CFE0006070
Restrictions on Access: public 2016-05-15
Host Institution: UCF

In Collections