Assessing the Use of Heart-Rate Monitoring for Competitive Swimmers.

Sixsmith, H; Crowcroft, S; Slattery, K

Assessing the Use of Heart-Rate Monitoring for Competitive Swimmers.

Sixsmith, H Crowcroft, S Slattery, K

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Publisher:: HUMAN KINETICS PUBL INC
Publication Type:: Journal Article
Citation:: Int J Sports Physiol Perform, 2023, 18, (11), pp. 1321-1327
Issue Date:: 2023-11-01

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Field	Value	Language
dc.contributor.author	Sixsmith, H
dc.contributor.author	Crowcroft, S
dc.contributor.author	Slattery, K https://orcid.org/0000-0002-2879-5488
dc.date.accessioned	2024-01-30T01:34:39Z
dc.date.available	2023-07-25
dc.date.available	2024-01-30T01:34:39Z
dc.date.issued	2023-11-01
dc.identifier.citation	Int J Sports Physiol Perform, 2023, 18, (11), pp. 1321-1327
dc.identifier.issn	1555-0265
dc.identifier.issn	1555-0273
dc.identifier.uri	http://hdl.handle.net/10453/175048
dc.description.abstract	PURPOSE: Quantifying training intensity provides a comprehensive understanding of the training stimulus. Recent technological advances may have improved the feasibility of using heart-rate (HR) monitoring in swimming. However, the implementation of HR monitoring is yet to be assessed longitudinally in the daily training environment of swimmers. This study aimed to assess the implementation of HR by comparing the training-intensity distribution from an external measure, planned volume at set intensities (PVSI), with the internal training-intensity distribution measured using time in HR zones. METHODS: Using a longitudinal observational design, 10 competitive swimmers (8 male and 2 female, age: 22.0 [2.3] y, Fédération Internationale de Natation point score: 842.9 [58.5], mean [SD]) were monitored daily for 6 months. Each session, HR data, and coached-planned and athlete-reported session rating of perceived exertion (Modified Category Ratio 10 scale) were recorded. Based on previously determined training zones from an incremental step test, PVSI was calculated using the planned distance and planned intensity of each swim bout. Training-intensity distributions were analyzed using a linear mixed model (lme4). RESULTS: The model revealed a small to moderate relationship between PVSI and time in HR zone, based on the Nakagawa R-squared value (range .14-.42). CONCLUSIONS: Training-intensity distribution differed between the internal measure (ie, HR) and the external measure of intensity (ie, PVSI). This demonstrates that internal and planned external measures of intensity cannot be used interchangeably to monitor training. Further research should explore how to best integrate these measures to better understand training in swimming.
dc.format	Electronic-Print
dc.language	eng
dc.publisher	HUMAN KINETICS PUBL INC
dc.relation.ispartof	Int J Sports Physiol Perform
dc.relation.isbasedon	10.1123/ijspp.2023-0009
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	1106 Human Movement and Sports Sciences, 1116 Medical Physiology, 1701 Psychology
dc.subject.classification	Sport Sciences
dc.subject.classification	3202 Clinical sciences
dc.subject.classification	3208 Medical physiology
dc.subject.classification	4207 Sports science and exercise
dc.subject.mesh	Humans
dc.subject.mesh	Male
dc.subject.mesh	Female
dc.subject.mesh	Young Adult
dc.subject.mesh	Adult
dc.subject.mesh	Physical Exertion
dc.subject.mesh	Swimming
dc.subject.mesh	Athletes
dc.subject.mesh	Exercise Test
dc.subject.mesh	Heart Rate
dc.subject.mesh	Humans
dc.subject.mesh	Exercise Test
dc.subject.mesh	Heart Rate
dc.subject.mesh	Swimming
dc.subject.mesh	Adult
dc.subject.mesh	Female
dc.subject.mesh	Male
dc.subject.mesh	Physical Exertion
dc.subject.mesh	Young Adult
dc.subject.mesh	Athletes
dc.subject.mesh	Humans
dc.subject.mesh	Male
dc.subject.mesh	Female
dc.subject.mesh	Young Adult
dc.subject.mesh	Adult
dc.subject.mesh	Physical Exertion
dc.subject.mesh	Swimming
dc.subject.mesh	Athletes
dc.subject.mesh	Exercise Test
dc.subject.mesh	Heart Rate
dc.title	Assessing the Use of Heart-Rate Monitoring for Competitive Swimmers.
dc.type	Journal Article
utslib.citation.volume	18
utslib.location.activity	United States
utslib.for	1106 Human Movement and Sports Sciences
utslib.for	1116 Medical Physiology
utslib.for	1701 Psychology
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Health
pubs.organisational-group	University of Technology Sydney/Strength - HPRC - Human Performance Research Centre
utslib.copyright.status	open_access	*
dc.date.updated	2024-01-30T01:34:38Z
pubs.issue	11
pubs.publication-status	Published online
pubs.volume	18
utslib.citation.issue	11

Abstract:

PURPOSE: Quantifying training intensity provides a comprehensive understanding of the training stimulus. Recent technological advances may have improved the feasibility of using heart-rate (HR) monitoring in swimming. However, the implementation of HR monitoring is yet to be assessed longitudinally in the daily training environment of swimmers. This study aimed to assess the implementation of HR by comparing the training-intensity distribution from an external measure, planned volume at set intensities (PVSI), with the internal training-intensity distribution measured using time in HR zones. METHODS: Using a longitudinal observational design, 10 competitive swimmers (8 male and 2 female, age: 22.0 [2.3] y, Fédération Internationale de Natation point score: 842.9 [58.5], mean [SD]) were monitored daily for 6 months. Each session, HR data, and coached-planned and athlete-reported session rating of perceived exertion (Modified Category Ratio 10 scale) were recorded. Based on previously determined training zones from an incremental step test, PVSI was calculated using the planned distance and planned intensity of each swim bout. Training-intensity distributions were analyzed using a linear mixed model (lme4). RESULTS: The model revealed a small to moderate relationship between PVSI and time in HR zone, based on the Nakagawa R-squared value (range .14-.42). CONCLUSIONS: Training-intensity distribution differed between the internal measure (ie, HR) and the external measure of intensity (ie, PVSI). This demonstrates that internal and planned external measures of intensity cannot be used interchangeably to monitor training. Further research should explore how to best integrate these measures to better understand training in swimming.

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http://hdl.handle.net/10453/175048