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Relating Functional Movement Screen ...

O'Harra, Thomas.

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Relating Functional Movement Screen (FMS) Scores to Cross-Country Ski Performance.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Relating Functional Movement Screen (FMS) Scores to Cross-Country Ski Performance./
Author:	O'Harra, Thomas.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
Description:	24 p.
Notes:	Source: Masters Abstracts International, Volume: 82-06.
Contained By:	Masters Abstracts International82-06.
Subject:	Physical therapy. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28086974
ISBN:	9798698566588

Relating Functional Movement Screen (FMS) Scores to Cross-Country Ski Performance.
O'Harra, Thomas.

Relating Functional Movement Screen (FMS) Scores to Cross-Country Ski Performance. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 24 p.

Source: Masters Abstracts International, Volume: 82-06.

Thesis (M.A.P.)--Alaska Pacific University, 2020.

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

The Functional Movement Screen (FMS) assesses the quality of movement patterns in the body with the goal of recognizing areas of weakness and asymmetry. Once identified, proper strength and stability exercises can be administered to further reduce the chance of injury, and potentially lead to improved athletic performance. Reducing or eliminating areas of weakness, instability, or asymmetry can also lead to a more balanced body. Here, I compare FMS results to cross country ski performance to determine whether there is a relationship. A sample of 27 cross country skiers living and training in Anchorage, Alaska were FMS tested periodically from 2013 to 2018, and International Ski Federation (FIS) points were collected for each athlete to match the time of testing. My hypotheses were that higher FMS composite scores were associated with lower FIS points, and that fewer asymmetries were also associated with lower FIS points. I found a moderate relationship between elite female skiers and FMS composite score (R2 = 0.44). I also found that skiers with one or fewer asymmetries on the FMS had a 60.7% chance of having FIS points of less than or equal to 100 compared to skiers with two or more asymmetries using ROC curves (AUC = 0.607). These findings indicate a moderate relationship between elite skiers' FIS points and FMS scores. The fact that elite skiers were significantly different from non-elite skiers suggests a difference in other factors that affect race performance, such as training volume, age, gender, or incidence of injury.

ISBN: 9798698566588Subjects--Topical Terms:

588713
Physical therapy.
Subjects--Index Terms:

Cross-country ski

Relating Functional Movement Screen (FMS) Scores to Cross-Country Ski Performance.
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500 $a Source: Masters Abstracts International, Volume: 82-06.
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520 $a The Functional Movement Screen (FMS) assesses the quality of movement patterns in the body with the goal of recognizing areas of weakness and asymmetry. Once identified, proper strength and stability exercises can be administered to further reduce the chance of injury, and potentially lead to improved athletic performance. Reducing or eliminating areas of weakness, instability, or asymmetry can also lead to a more balanced body. Here, I compare FMS results to cross country ski performance to determine whether there is a relationship. A sample of 27 cross country skiers living and training in Anchorage, Alaska were FMS tested periodically from 2013 to 2018, and International Ski Federation (FIS) points were collected for each athlete to match the time of testing. My hypotheses were that higher FMS composite scores were associated with lower FIS points, and that fewer asymmetries were also associated with lower FIS points. I found a moderate relationship between elite female skiers and FMS composite score (R2 = 0.44). I also found that skiers with one or fewer asymmetries on the FMS had a 60.7% chance of having FIS points of less than or equal to 100 compared to skiers with two or more asymmetries using ROC curves (AUC = 0.607). These findings indicate a moderate relationship between elite skiers' FIS points and FMS scores. The fact that elite skiers were significantly different from non-elite skiers suggests a difference in other factors that affect race performance, such as training volume, age, gender, or incidence of injury.
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