From macro to micro; improving the understanding of load accumulation and monitoring practices in tennis

Perri, Thomas

From macro to micro; improving the understanding of load accumulation and monitoring practices in tennis

Perri, Thomas

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Publication Type:: Thesis
Issue Date:: 2022

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Field	Value	Language
dc.contributor.author	Perri, Thomas
dc.date.accessioned	2023-03-06T02:23:08Z
dc.date.available	2023-03-06T02:23:08Z
dc.date.issued	2022
dc.identifier.uri	http://hdl.handle.net/10453/166678
dc.description	University of Technology Sydney. Faculty of Health.	en_US.UTF-8
dc.description.abstract	This thesis comprised five studies that explored competition engagement, training and competition block periodisation of load and applications of wearable microtechnology to quantify stroke and movement acceleration profiles. Study 1 analysed international tournament and match volumes and their seasonal distribution during adolescence (13-18y) of 165 future T100 and top 250 (T250) ranked professional male tennis players. A two-way analysis of variance (ANOVA) compared age and ranking on volume and distribution measures. Significantly more junior and professional tournaments were played at ages 15y and 17y, respectively (p<0.05). Consecutive tournaments increased, with a corresponding reduction in days between tournaments through ages 16-18y (p<0.05). Study 2 examined training and competition blocks lengths and their weekly periodisation of on- and off-court sessions for future T250 Australian players aged 16-18y. Training duration and rating of perceived exertion (RPE) determined training load (sRPE TL). One-way ANOVA and effect sizes (ES) compared training loads between blocks and respective training or competition weeks. Training blocks were longer compared to tournaments and involved greater cumulative on- and off-court sRPE TL (p<0.05). No differences in weekly sRPE TL were observed within either training or competition blocks (p>0.05). In Study 3, a prototype algorithm for stroke event detection using global positioning systems (GPS) was validated against manual coding of 5349 individual strokes during official matches. Strokes were categorised as forehand (FH), backhand (BH), serve or “other stroke”, with additional descriptors (i.e., drive, slice, volley). ANOVA and Bland-Altman analyses compared the two methods. No difference in stroke counts between the methods was observed at the match level (p>0.05). FH, BH and serve stroke accuracies were respectively identified at 89%, 94% and 98%. Reduced accuracy (<35%) existed for slice and volley strokes. Study 4 and Study 5 described stroke- (sPL) and movement-specific (mPL) accelerometer loads and hitting volumes during official junior-elite match-play and training. Absolute and relative (.min-1, %) sPL and mPL were reported alongside stroke counts. A two-way ANOVA compared the acceleration loads between court surface (hard vs. grass) and match outcome (win vs. loss). A one-way ANOVA compared training drill type on load metrics. Greater sPL.min-1 existed during hard court match-play (p<0.05), though was not influenced by match outcome (p>0.05). mPL was not significantly affected by court surface or match outcome (p>0.05). Highest sPL.min-1 existed during Accuracy drills, alongside greater FH-sPL.min-1 (p<0.05). Serve-sPL.min-1 was highest in Technical and Match-Play drills (p<0.05).	en_US.UTF-8
dc.format	Thesis (PhD)
dc.language.iso	en_US	en_US.UTF-8
dc.relation	https://opus.lib.uts.edu.au/bitstream/10453/166678/2/02whole.pdf
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	The author owns the copyright in this thesis including all reproduction and reuse rights for the work. The work may not be altered without the permission of the copyright owner. Attribution is essential when quoting or paraphrasing from this thesis.
dc.rights	© 2022 Thomas Perri
dc.rights	au.edu.uts.lib/ppc
dc.title	From macro to micro; improving the understanding of load accumulation and monitoring practices in tennis	en_US.UTF-8
dc.type	Thesis
utslib.copyright.status	open_access	*

Abstract:

This thesis comprised five studies that explored competition engagement, training and competition block periodisation of load and applications of wearable microtechnology to quantify stroke and movement acceleration profiles. Study 1 analysed international tournament and match volumes and their seasonal distribution during adolescence (13-18y) of 165 future T100 and top 250 (T250) ranked professional male tennis players. A two-way analysis of variance (ANOVA) compared age and ranking on volume and distribution measures. Significantly more junior and professional tournaments were played at ages 15y and 17y, respectively (p<0.05). Consecutive tournaments increased, with a corresponding reduction in days between tournaments through ages 16-18y (p<0.05). Study 2 examined training and competition blocks lengths and their weekly periodisation of on- and off-court sessions for future T250 Australian players aged 16-18y. Training duration and rating of perceived exertion (RPE) determined training load (sRPE TL). One-way ANOVA and effect sizes (ES) compared training loads between blocks and respective training or competition weeks. Training blocks were longer compared to tournaments and involved greater cumulative on- and off-court sRPE TL (p<0.05). No differences in weekly sRPE TL were observed within either training or competition blocks (p>0.05). In Study 3, a prototype algorithm for stroke event detection using global positioning systems (GPS) was validated against manual coding of 5349 individual strokes during official matches. Strokes were categorised as forehand (FH), backhand (BH), serve or “other stroke”, with additional descriptors (i.e., drive, slice, volley). ANOVA and Bland-Altman analyses compared the two methods. No difference in stroke counts between the methods was observed at the match level (p>0.05). FH, BH and serve stroke accuracies were respectively identified at 89%, 94% and 98%. Reduced accuracy (<35%) existed for slice and volley strokes. Study 4 and Study 5 described stroke- (sPL) and movement-specific (mPL) accelerometer loads and hitting volumes during official junior-elite match-play and training. Absolute and relative (.min-1, %) sPL and mPL were reported alongside stroke counts. A two-way ANOVA compared the acceleration loads between court surface (hard vs. grass) and match outcome (win vs. loss). A one-way ANOVA compared training drill type on load metrics. Greater sPL.min-1 existed during hard court match-play (p<0.05), though was not influenced by match outcome (p>0.05). mPL was not significantly affected by court surface or match outcome (p>0.05). Highest sPL.min-1 existed during Accuracy drills, alongside greater FH-sPL.min-1 (p<0.05). Serve-sPL.min-1 was highest in Technical and Match-Play drills (p<0.05).

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http://hdl.handle.net/10453/166678