A monitoring of archery performance predictors among state-level archers
Archery is a sport that required a certain level of techniques, physical conditions, tactics, and psychology to perform. It is important to understand the most crucial criteria in archery to build excellent archers. Thus, this study aimed to determine the predictors of archery performance among s...
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Format: | Thesis |
Language: | English |
Published: |
2023
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Online Access: | http://eprints.usm.my/59857/1/LAU%20JIUN%20SIEN-%20FINAL%20THESIS%20P-SKD000318%28R%29-E.pdf |
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author | Sien, Lau Jiun |
author_facet | Sien, Lau Jiun |
author_sort | Sien, Lau Jiun |
collection | USM |
description | Archery is a sport that required a certain level of techniques, physical
conditions, tactics, and psychology to perform. It is important to understand the most
crucial criteria in archery to build excellent archers. Thus, this study aimed to
determine the predictors of archery performance among state-level recurve archers.
Eighteen state-level recurve archers were recruited from Terengganu State Sports
Council and Malaysia Pahang Sports School and 13 participants (mean age = 16.23 ±
1.74) had completed the whole study protocol. Muscle activation level, draw force
line, mood states, and physical fitness level of the archers were monitored predictors
of archery performance in this research. The mood states of the participants were
evaluated with Brunel Mood Scale Questionnaire before the scoring session. During
the scoring session, the muscle activation of left deltoid muscles, left triceps muscles,
right trapezius muscles, and right triceps muscles were measured with
electromyography. Meanwhile, the draw force line during the anchoring and releasing
was recorded with a video camera and was analysed with Kinovea motion analysis
software. The archery shooting performance was based on a total score of 36 arrows
shot at a distance of 70 meters. After the scoring session, the physical fitness level of
the participants was measured with fitness tests including push-ups, sit-ups, handgrip
test, stork stand test, back and leg test, sit and reach test, and multistage fitness test.
All the parameters were measured five times, with each measurement taken at a twomonths
interval. The results of the Multiple Linear Regression (MLR) revealed muscle
activation level and physical fitness level can be used as a guideline in predicting the archery shooting performance. Among the muscles tested in this study, the left deltoid
is the only muscle that is associated with the archery shooting performance in the fifth
measurement session. Furthermore, physical fitness level also able to predict the
shooting performance significantly in the first measurement session, third
measurement session and forth measurement session. The physical fitness components
that were associated with the archery shooting performance included left and right
handgrip strength, back and leg strength, flexibility, balance, upper muscle endurance,
core muscle endurance, and cardiovascular endurance. However, the mood states and
the draw force line of participants are not associated with the archery performance. It
is concluded that the physical fitness level and muscle activation level of the archers
can predict the archery shooting performance among state-level archers. |
first_indexed | 2024-03-06T16:14:55Z |
format | Thesis |
id | usm.eprints-59857 |
institution | Universiti Sains Malaysia |
language | English |
last_indexed | 2024-03-06T16:14:55Z |
publishDate | 2023 |
record_format | dspace |
spelling | usm.eprints-598572024-02-15T02:17:05Z http://eprints.usm.my/59857/ A monitoring of archery performance predictors among state-level archers Sien, Lau Jiun R Medicine RA440-440.87 Study and teaching. Research Archery is a sport that required a certain level of techniques, physical conditions, tactics, and psychology to perform. It is important to understand the most crucial criteria in archery to build excellent archers. Thus, this study aimed to determine the predictors of archery performance among state-level recurve archers. Eighteen state-level recurve archers were recruited from Terengganu State Sports Council and Malaysia Pahang Sports School and 13 participants (mean age = 16.23 ± 1.74) had completed the whole study protocol. Muscle activation level, draw force line, mood states, and physical fitness level of the archers were monitored predictors of archery performance in this research. The mood states of the participants were evaluated with Brunel Mood Scale Questionnaire before the scoring session. During the scoring session, the muscle activation of left deltoid muscles, left triceps muscles, right trapezius muscles, and right triceps muscles were measured with electromyography. Meanwhile, the draw force line during the anchoring and releasing was recorded with a video camera and was analysed with Kinovea motion analysis software. The archery shooting performance was based on a total score of 36 arrows shot at a distance of 70 meters. After the scoring session, the physical fitness level of the participants was measured with fitness tests including push-ups, sit-ups, handgrip test, stork stand test, back and leg test, sit and reach test, and multistage fitness test. All the parameters were measured five times, with each measurement taken at a twomonths interval. The results of the Multiple Linear Regression (MLR) revealed muscle activation level and physical fitness level can be used as a guideline in predicting the archery shooting performance. Among the muscles tested in this study, the left deltoid is the only muscle that is associated with the archery shooting performance in the fifth measurement session. Furthermore, physical fitness level also able to predict the shooting performance significantly in the first measurement session, third measurement session and forth measurement session. The physical fitness components that were associated with the archery shooting performance included left and right handgrip strength, back and leg strength, flexibility, balance, upper muscle endurance, core muscle endurance, and cardiovascular endurance. However, the mood states and the draw force line of participants are not associated with the archery performance. It is concluded that the physical fitness level and muscle activation level of the archers can predict the archery shooting performance among state-level archers. 2023-09 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/59857/1/LAU%20JIUN%20SIEN-%20FINAL%20THESIS%20P-SKD000318%28R%29-E.pdf Sien, Lau Jiun (2023) A monitoring of archery performance predictors among state-level archers. PhD thesis, Universiti Sains Malaysia. |
spellingShingle | R Medicine RA440-440.87 Study and teaching. Research Sien, Lau Jiun A monitoring of archery performance predictors among state-level archers |
title | A monitoring of archery performance
predictors among state-level archers |
title_full | A monitoring of archery performance
predictors among state-level archers |
title_fullStr | A monitoring of archery performance
predictors among state-level archers |
title_full_unstemmed | A monitoring of archery performance
predictors among state-level archers |
title_short | A monitoring of archery performance
predictors among state-level archers |
title_sort | monitoring of archery performance predictors among state level archers |
topic | R Medicine RA440-440.87 Study and teaching. Research |
url | http://eprints.usm.my/59857/1/LAU%20JIUN%20SIEN-%20FINAL%20THESIS%20P-SKD000318%28R%29-E.pdf |
work_keys_str_mv | AT sienlaujiun amonitoringofarcheryperformancepredictorsamongstatelevelarchers AT sienlaujiun monitoringofarcheryperformancepredictorsamongstatelevelarchers |