NHL 冰上曲棍球員之運動傷害與危險因子影響 之探討

A study of the sport injury and relative risk factors influence in NHL players

李宜玲(Yi-Ling Li)

指導教授 ： 張庭彰博士 ； 洪彰鴻博士

亞洲大學/管理學院/經營管理學系碩士在職專班/碩士(2009年)

摘要

本研究主旨在探討分析2000 年~2008 年NHL30 個隊伍共877 個球員的受
傷模式，並驗明球員的5 個變項(1)年齡(2) 加入NHL 的時間(3) 球齡(4) 打擊偏
好(左/右) (5) 打擊位置對受傷次數及因受傷所失去上場比賽這兩個構面的關連
性。此研究並分析了每個身體部位所受傷的次數分配， 根據研究結果顯示，在
這所有身體受傷的部位中， 腳的部位受傷的比重最高（18.21%），其次是大腿
部位(15.78%)，上肢(13.69%)， 頸部(13.12%)，膝(12.56%)，肩膀(10.94%)，腰
部(8.94%)，下肢(3.28%)及未公開的原因(.90%)。再者，因受傷部位而失去上場
比賽的部位中，腳的部位也是佔了最大的比重(20.53%)， 其次是膝的部位
(15.35%) ， 肩(15.01%) ， 頸部(11.80%) ， 大腿(12.25%) ， 頸(11.80%) ， 腰部
(9.93%)，下肢(2.05%)及未公開的原因(.43%)。本研究資料以統計套裝軟體
SPSS 15.0 英文版執行，採用描述性統計、t 考驗、單因子變異數及 Scheffe 事
後比較等統計分析五個變項，獲得以下結果: 年齡(P=.000 < .01) 在球員的受傷
次數及因受傷而無法上場比賽的構面中均達顯著差異。球員加入NHL 的時間在
受傷次數(P=.003 < .05) 及因受傷而無法上場比賽 (P=.000 < .01) 的構面中均達
顯著差異。球員的球齡(P=.000 < .01) 在受傷次數及因受傷而無法上場比賽的構
面中均達顯著差異。球員的打擊偏好(左/右)在受傷次數(P=.372 > .05) 及因受傷
而無法上場比賽(P=.116 > .05) 的構面中並無達到顯著差異。球員的打擊位置在
受傷次數(P=.000 < .01) 及因受傷而無法上場比賽(P=.001 < .01).
的構面中均達顯著差異。
本研究結果顯示:將受傷問題原因的本質還有程度清楚定義，且採取有效針
對避免受傷的措施後，將會大大提升保護球員的效果。

關鍵字

冰上曲棍球 ； 運動傷害 ； NHL

並列摘要

The aim of this study was to analyze the injury pattern 30 teams 877 players
from 2000~2008 in National Hockey League (NHL), and to identify the 5 variables
age, NHL years, career year, shooting side preference (right or left) and position
played between player’s number of injury and number of game miss due to injury.
The study also included the number of injury for each body location. Based on the
result of data, it was found that within the injury location, foot area has the highest
rate of injury ( 18.21%), thigh (15.78%), neck (14.16%), upper body (13.80%), knee
(11.86%), shoulder (10.18%), wrist (8.56%), lower body (3.99%), elbow (1.91%) and
undisclosed (1.55%) are followed. Followed by these injury location, the highest rate
of number of game miss due to injury was foot (20.53%), knee (15.35%), shoulder
(15.01%), neck (11.80%), thigh (12.25%), neck (11.80%), wrist (9.93%), lower body
(2.05%), elbow (1.40%) and undisclosed (0.43%). Data were analyzed using SPSS
15.0. Descriptive analysis, t-test, one-way ANOVA and Scheffe Post-hoc test were
conducted to this research. Findings from the study indicated that: A significant
difference correlation of age (P=.000 < .01) was found among the number of injury
and number of missed games due to injury. A significant difference correlation of
player join NHL year was found among the number of injury (P=.003 < .05) and
number of missed games due to injury (P=.000 < .01). A significant difference
correlation of player’s career year (P=.000 < .01) was found among the number of
injury and number of missed games due to injury. Non-significant difference
correlation of player’s shoot preference was found among the number of injury
(P=.372 > .05) and number of missed games due to injury (P=.116 > .05). A
significant difference correlation of player’s position played was found among the
number of injury (P=.000 < .01) and number of missed games due to injury (P=.001
< .01).
II
The finding that the results likely will enhance protection of players, thereby,
the extent and nature of the injury problem needs to be clearly identified before
effective measures aimed at preventing injury can be initiated.

並列關鍵字

Ice Hockey ； sports injury ； NHL

參考文獻

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Through 2002–2003. Journal of Athletic Training, 42(2): 211–220.

Descriptive Epidemiology of Collegiate Men’s Ice Hockey Injuries: National