Dynamic pacing strategies during the cycle phase of an ironman triathlon
A nonlinear dynamic systems model has previously been proposed to explain pacing strategies employed during exercise. This study was conducted to examine the pacing strategies used under varying conditions during the cycle phase of an Ironman triathlon. The bicycles of six well-trained male triathle...
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Veröffentlicht in: | Medicine and science in sports and exercise 2006-04, Vol.38 (4), p.726-734 |
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description | A nonlinear dynamic systems model has previously been proposed to explain pacing strategies employed during exercise.
This study was conducted to examine the pacing strategies used under varying conditions during the cycle phase of an Ironman triathlon.
The bicycles of six well-trained male triathletes were equipped with SRM power meters set to record power output, cadence, speed, and heart rate. The flat, three-lap, out-and-back cycle course, coupled with relatively consistent wind conditions (17-30 km x h(-1)), enabled comparisons to be made between three consecutive 60-km laps and relative wind direction (headwind vs tailwind).
Participants finished the cycle phase (180 km) with consistently fast performance times (5 h, 11 +/- 2 min; top 10% of all finishers). Average power output (239 +/- 25 to 203 +/- 20 W), cadence (89 +/- 6 to 82 +/- 8 rpm), and speed (36.5 +/- 0.8 to 33.1 +/- 0.8 km x h(-1)) all significantly decreased with increasing number of laps (P < 0.05). These variables, however, were not significantly different between headwind and tailwind sections. The deviation (SD) in power output and cadence did not change with increasing number of laps; however, the deviations in torque (6.8 +/- 1.6 and 5.8 +/- 1.3 N x m) and speed (2.1 +/- 0.5 and 1.6 +/- 0.3 km x h(-1)) were significantly greater under headwind compared with tailwind conditions, respectively. The median power frequency tended to be lower in headwind (0.0480 +/- 0.0083) compared with tailwind (0.0531 +/- 0.0101) sections.
These data show evidence that a nonlinear dynamic pacing strategy is used by well-trained triathletes throughout various segments and conditions of the Ironman cycle phase. Moreover, an increased variation in torque and speed was found in the headwind versus the tailwind condition. |
doi_str_mv | 10.1249/01.mss.0000210202.33070.55 |
format | Article |
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This study was conducted to examine the pacing strategies used under varying conditions during the cycle phase of an Ironman triathlon.
The bicycles of six well-trained male triathletes were equipped with SRM power meters set to record power output, cadence, speed, and heart rate. The flat, three-lap, out-and-back cycle course, coupled with relatively consistent wind conditions (17-30 km x h(-1)), enabled comparisons to be made between three consecutive 60-km laps and relative wind direction (headwind vs tailwind).
Participants finished the cycle phase (180 km) with consistently fast performance times (5 h, 11 +/- 2 min; top 10% of all finishers). Average power output (239 +/- 25 to 203 +/- 20 W), cadence (89 +/- 6 to 82 +/- 8 rpm), and speed (36.5 +/- 0.8 to 33.1 +/- 0.8 km x h(-1)) all significantly decreased with increasing number of laps (P < 0.05). These variables, however, were not significantly different between headwind and tailwind sections. The deviation (SD) in power output and cadence did not change with increasing number of laps; however, the deviations in torque (6.8 +/- 1.6 and 5.8 +/- 1.3 N x m) and speed (2.1 +/- 0.5 and 1.6 +/- 0.3 km x h(-1)) were significantly greater under headwind compared with tailwind conditions, respectively. The median power frequency tended to be lower in headwind (0.0480 +/- 0.0083) compared with tailwind (0.0531 +/- 0.0101) sections.
These data show evidence that a nonlinear dynamic pacing strategy is used by well-trained triathletes throughout various segments and conditions of the Ironman cycle phase. Moreover, an increased variation in torque and speed was found in the headwind versus the tailwind condition.</description><identifier>ISSN: 0195-9131</identifier><identifier>EISSN: 1530-0315</identifier><identifier>DOI: 10.1249/01.mss.0000210202.33070.55</identifier><identifier>PMID: 16679990</identifier><identifier>CODEN: MSPEDA</identifier><language>eng</language><publisher>Hagerstown, MD: Lippincott Williams & Wilkins</publisher><subject>Adult ; Analysis of Variance ; Bicycling - physiology ; Biological and medical sciences ; Fourier Analysis ; Fundamental and applied biological sciences. Psychology ; Heart Rate - physiology ; Humans ; Male ; Physical Endurance - physiology ; Space life sciences ; Task Performance and Analysis ; Vertebrates: body movement. Posture. Locomotion. Flight. Swimming. Physical exercise. Rest. Sports</subject><ispartof>Medicine and science in sports and exercise, 2006-04, Vol.38 (4), p.726-734</ispartof><rights>2006 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c430t-d062421408c4a7c65d0860f57ffea142cd03d0d5e70c77978fe0e176a7e307423</citedby><cites>FETCH-LOGICAL-c430t-d062421408c4a7c65d0860f57ffea142cd03d0d5e70c77978fe0e176a7e307423</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=17700986$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16679990$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>ABBISS, Chris R</creatorcontrib><creatorcontrib>QUOD, Marc J</creatorcontrib><creatorcontrib>MARTIN, David T</creatorcontrib><creatorcontrib>NETTO, Kevin J</creatorcontrib><creatorcontrib>NOSAKA, Kazunori</creatorcontrib><creatorcontrib>LEE, Hamilton</creatorcontrib><creatorcontrib>SURIANO, Rob</creatorcontrib><creatorcontrib>BISHOP, David</creatorcontrib><creatorcontrib>LAURSEN, Paul B</creatorcontrib><title>Dynamic pacing strategies during the cycle phase of an ironman triathlon</title><title>Medicine and science in sports and exercise</title><addtitle>Med Sci Sports Exerc</addtitle><description>A nonlinear dynamic systems model has previously been proposed to explain pacing strategies employed during exercise.
This study was conducted to examine the pacing strategies used under varying conditions during the cycle phase of an Ironman triathlon.
The bicycles of six well-trained male triathletes were equipped with SRM power meters set to record power output, cadence, speed, and heart rate. The flat, three-lap, out-and-back cycle course, coupled with relatively consistent wind conditions (17-30 km x h(-1)), enabled comparisons to be made between three consecutive 60-km laps and relative wind direction (headwind vs tailwind).
Participants finished the cycle phase (180 km) with consistently fast performance times (5 h, 11 +/- 2 min; top 10% of all finishers). Average power output (239 +/- 25 to 203 +/- 20 W), cadence (89 +/- 6 to 82 +/- 8 rpm), and speed (36.5 +/- 0.8 to 33.1 +/- 0.8 km x h(-1)) all significantly decreased with increasing number of laps (P < 0.05). These variables, however, were not significantly different between headwind and tailwind sections. The deviation (SD) in power output and cadence did not change with increasing number of laps; however, the deviations in torque (6.8 +/- 1.6 and 5.8 +/- 1.3 N x m) and speed (2.1 +/- 0.5 and 1.6 +/- 0.3 km x h(-1)) were significantly greater under headwind compared with tailwind conditions, respectively. The median power frequency tended to be lower in headwind (0.0480 +/- 0.0083) compared with tailwind (0.0531 +/- 0.0101) sections.
These data show evidence that a nonlinear dynamic pacing strategy is used by well-trained triathletes throughout various segments and conditions of the Ironman cycle phase. Moreover, an increased variation in torque and speed was found in the headwind versus the tailwind condition.</description><subject>Adult</subject><subject>Analysis of Variance</subject><subject>Bicycling - physiology</subject><subject>Biological and medical sciences</subject><subject>Fourier Analysis</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Heart Rate - physiology</subject><subject>Humans</subject><subject>Male</subject><subject>Physical Endurance - physiology</subject><subject>Space life sciences</subject><subject>Task Performance and Analysis</subject><subject>Vertebrates: body movement. Posture. Locomotion. Flight. Swimming. Physical exercise. Rest. 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Psychology</topic><topic>Heart Rate - physiology</topic><topic>Humans</topic><topic>Male</topic><topic>Physical Endurance - physiology</topic><topic>Space life sciences</topic><topic>Task Performance and Analysis</topic><topic>Vertebrates: body movement. Posture. Locomotion. Flight. Swimming. Physical exercise. Rest. Sports</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>ABBISS, Chris R</creatorcontrib><creatorcontrib>QUOD, Marc J</creatorcontrib><creatorcontrib>MARTIN, David T</creatorcontrib><creatorcontrib>NETTO, Kevin J</creatorcontrib><creatorcontrib>NOSAKA, Kazunori</creatorcontrib><creatorcontrib>LEE, Hamilton</creatorcontrib><creatorcontrib>SURIANO, Rob</creatorcontrib><creatorcontrib>BISHOP, David</creatorcontrib><creatorcontrib>LAURSEN, Paul B</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Physical Education Index</collection><collection>MEDLINE - Academic</collection><jtitle>Medicine and science in sports and exercise</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>ABBISS, Chris R</au><au>QUOD, Marc J</au><au>MARTIN, David T</au><au>NETTO, Kevin J</au><au>NOSAKA, Kazunori</au><au>LEE, Hamilton</au><au>SURIANO, Rob</au><au>BISHOP, David</au><au>LAURSEN, Paul B</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dynamic pacing strategies during the cycle phase of an ironman triathlon</atitle><jtitle>Medicine and science in sports and exercise</jtitle><addtitle>Med Sci Sports Exerc</addtitle><date>2006-04-01</date><risdate>2006</risdate><volume>38</volume><issue>4</issue><spage>726</spage><epage>734</epage><pages>726-734</pages><issn>0195-9131</issn><eissn>1530-0315</eissn><coden>MSPEDA</coden><abstract>A nonlinear dynamic systems model has previously been proposed to explain pacing strategies employed during exercise.
This study was conducted to examine the pacing strategies used under varying conditions during the cycle phase of an Ironman triathlon.
The bicycles of six well-trained male triathletes were equipped with SRM power meters set to record power output, cadence, speed, and heart rate. The flat, three-lap, out-and-back cycle course, coupled with relatively consistent wind conditions (17-30 km x h(-1)), enabled comparisons to be made between three consecutive 60-km laps and relative wind direction (headwind vs tailwind).
Participants finished the cycle phase (180 km) with consistently fast performance times (5 h, 11 +/- 2 min; top 10% of all finishers). Average power output (239 +/- 25 to 203 +/- 20 W), cadence (89 +/- 6 to 82 +/- 8 rpm), and speed (36.5 +/- 0.8 to 33.1 +/- 0.8 km x h(-1)) all significantly decreased with increasing number of laps (P < 0.05). These variables, however, were not significantly different between headwind and tailwind sections. The deviation (SD) in power output and cadence did not change with increasing number of laps; however, the deviations in torque (6.8 +/- 1.6 and 5.8 +/- 1.3 N x m) and speed (2.1 +/- 0.5 and 1.6 +/- 0.3 km x h(-1)) were significantly greater under headwind compared with tailwind conditions, respectively. The median power frequency tended to be lower in headwind (0.0480 +/- 0.0083) compared with tailwind (0.0531 +/- 0.0101) sections.
These data show evidence that a nonlinear dynamic pacing strategy is used by well-trained triathletes throughout various segments and conditions of the Ironman cycle phase. Moreover, an increased variation in torque and speed was found in the headwind versus the tailwind condition.</abstract><cop>Hagerstown, MD</cop><pub>Lippincott Williams & Wilkins</pub><pmid>16679990</pmid><doi>10.1249/01.mss.0000210202.33070.55</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; Journals@Ovid LWW Legacy Archive; Journals@Ovid Complete |
subjects | Adult Analysis of Variance Bicycling - physiology Biological and medical sciences Fourier Analysis Fundamental and applied biological sciences. Psychology Heart Rate - physiology Humans Male Physical Endurance - physiology Space life sciences Task Performance and Analysis Vertebrates: body movement. Posture. Locomotion. Flight. Swimming. Physical exercise. Rest. Sports |
title | Dynamic pacing strategies during the cycle phase of an ironman triathlon |
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