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Relationship between Acute: Chronic Ratio and Injury in Women's Collegiate Soccer Players.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Relationship between Acute: Chronic Ratio and Injury in Women's Collegiate Soccer Players./
Author:	Schwab, Jake A.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
Description:	53 p.
Notes:	Source: Masters Abstracts International, Volume: 83-02.
Contained By:	Masters Abstracts International83-02.
Subject:	Kinesiology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28320865
ISBN:	9798522907112

Relationship between Acute: Chronic Ratio and Injury in Women's Collegiate Soccer Players.
Schwab, Jake A.

Relationship between Acute: Chronic Ratio and Injury in Women's Collegiate Soccer Players. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 53 p.

Source: Masters Abstracts International, Volume: 83-02.

Thesis (M.S.)--Illinois State University, 2021.

This item must not be sold to any third party vendors.

Purpose: The goal of this study was to analyze the relationship between the acute:chronic training load ratio and incidence of injury within a women's collegiate soccer team over the course of their regular season. Methods: Thirty female collegiate soccer players wore Polar Team Pro heart rate monitors over the course of their season with eight sustaining injury. Two injuries were season ending, four injuries kept athletes out multiple weeks, and two injuries kept athletes out less than one week. Training load and distance were tracked for all individual practices, team practices, and games. Data was extracted from the Polar Team Pro website and exported into Microsoft Excel. Total training load and distance was calculated for the respective "current week" of the season and divided by the previous four weeks to calculate the acute:chronic training load ratio. For the current week, total training load and distance would be totaled for all athletes up to the day of injury. Injuries that occurred on Sunday were classified as last day of the week, while injuries that occurred any other day were classified as middle of the week. Averages of all healthy athletes' data were compared to the injured athlete's data every week injury was recorded, with higher differences found in the middle of the week versus the end of the week. Results: For injuries that occurred at the end of the week, the average acute:chronic ratio difference between healthy athletes and the injured athletes was 0.073 ± 0.05 units for the training load ratio and 0.069 ± 0.03 units for the distance ratio. These athletes averaged the 15th highest acute:chronic ratio for both acute:chronic ratios out of thirty total athletes. These differences increased for injuries that happened during the week, as the average difference for the training load ratio was 0.087 ± 0.06 units and 0.139 ± 0.11 units for the distance ratio. These athletes averaged the 11th highest acute:chronic ratio for both acute:chronic ratios out of thirty total athletes. Conclusion: Measuring the acute:chronic training load ratio the way it was done in this study was not helpful in minimizing injury risk. The rolling average method of measuring the acute:chronic ratio needs continued research with finding zones to best minimize injury for athletes.

ISBN: 9798522907112Subjects--Topical Terms:

517627
Kinesiology.
Subjects--Index Terms:

Heart rate

Relationship between Acute: Chronic Ratio and Injury in Women's Collegiate Soccer Players.
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245 1 0 $a Relationship between Acute: Chronic Ratio and Injury in Women's Collegiate Soccer Players.
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300 $a 53 p.
500 $a Source: Masters Abstracts International, Volume: 83-02.
500 $a Advisor: Brown, Dale D.
502 $a Thesis (M.S.)--Illinois State University, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a Purpose: The goal of this study was to analyze the relationship between the acute:chronic training load ratio and incidence of injury within a women's collegiate soccer team over the course of their regular season. Methods: Thirty female collegiate soccer players wore Polar Team Pro heart rate monitors over the course of their season with eight sustaining injury. Two injuries were season ending, four injuries kept athletes out multiple weeks, and two injuries kept athletes out less than one week. Training load and distance were tracked for all individual practices, team practices, and games. Data was extracted from the Polar Team Pro website and exported into Microsoft Excel. Total training load and distance was calculated for the respective "current week" of the season and divided by the previous four weeks to calculate the acute:chronic training load ratio. For the current week, total training load and distance would be totaled for all athletes up to the day of injury. Injuries that occurred on Sunday were classified as last day of the week, while injuries that occurred any other day were classified as middle of the week. Averages of all healthy athletes' data were compared to the injured athlete's data every week injury was recorded, with higher differences found in the middle of the week versus the end of the week. Results: For injuries that occurred at the end of the week, the average acute:chronic ratio difference between healthy athletes and the injured athletes was 0.073 ± 0.05 units for the training load ratio and 0.069 ± 0.03 units for the distance ratio. These athletes averaged the 15th highest acute:chronic ratio for both acute:chronic ratios out of thirty total athletes. These differences increased for injuries that happened during the week, as the average difference for the training load ratio was 0.087 ± 0.06 units and 0.139 ± 0.11 units for the distance ratio. These athletes averaged the 11th highest acute:chronic ratio for both acute:chronic ratios out of thirty total athletes. Conclusion: Measuring the acute:chronic training load ratio the way it was done in this study was not helpful in minimizing injury risk. The rolling average method of measuring the acute:chronic ratio needs continued research with finding zones to best minimize injury for athletes.
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650 4 $a Health sciences. $3 3168359
650 4 $a Sports management. $3 3423935
650 4 $a Load. $3 3562902
650 4 $a Global positioning systems--GPS. $3 3559357
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650 4 $a Anaerobic threshold. $3 3691433
650 4 $a Maximum oxygen consumption. $3 3691434
650 4 $a Sensors. $3 3549539
650 4 $a Australian football. $3 3563151
650 4 $a College football. $3 3680768
650 4 $a Athletes. $3 536205
650 4 $a Variables. $3 3548259
650 4 $a Monitoring systems. $3 3543995
650 4 $a Soccer. $3 520214
650 4 $a Sports injuries. $3 520144
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773 0 $t Masters Abstracts International $g 83-02.
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792 $a 2021
793 $a English
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