60 1. 緒言 110m 110mH ,9,11,12, mH 12s 16s 152 9,11, mH 11,12 11, s 16s 12s 13s 14s 15s 16s s 19 14s 3

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1 Bull. 110mH 13.71s 14.59s Facul. Health & Sci., Univ. of Tsukuba , mH レースにおけるモデルタッチダウンタイムの再検討 : 13.71s 14.59s の競技者を対象として 宮代賢治 The Revisional Study of Model Touchdown Time in the 110 metres Hurdle Race: for the Hurdlers with the Record in the Range of 13.71s to 14.59s MIYASHIRO Kenji, YAMAMOTO Kohei, NAITO Hikari, TANIGAWA Satoru and NISHIJIMA Takahiko Abstract The purpose of this study was to analyze the 110 metres hurdle races of hurdlers with the record in the range of 13.71s to 14.59s, and to restudy the model touchdown time in the 110 metres hurdle race. Seventy-five male hurdlers were recorded with two or three high speed video cameras at a sampling rate of Hz during whole course of the race. Ten touchdown times from 1 st hurdle to 10 th hurdle were calculated using video images. Touchdown time was defined as the time from start to the touchdown after each hurdle. 110 metres hurdle race record was assigned to the independent variable and each touchdown time was assigned to the dependent variables, and then simple linear analyses were conducted ten times. The main results were shown as follows: metres hurdle race record was significantly correlated with each touchdown time (r = , p <.05) and linear regression formulas were significantly given, respectively. 2. Average of standard errors of the estimate in ten linear regression formulas was.043s (ranging from.035s and.051s). This value is lower, and therefore accuracy of prediction in each linear regression formula was partly higher than those of previous study. It is concluded that more effective regression formulas were made in this study than previous studies to calculate the model touchdown time for 110 metres hurdlers with the record in the range of 13.71s to 14.59s. Key words: sprint hurdles, approach, race analysis Graduate School of Comprehensive Human Sciences Doctoral Program in Physical Education, Health and sport Sciences, University of tsukuba Graduate School of Comprehensive Human Sciences Doctoral Program in Coaching Science,University of tsukuba Research students Graduate School of Comprehensive Human Sciences Master s program in Health and Sport Sciences, University of tsukuba Faculty of Health and Sport Sciences, University of Tsukuba

2 60 1. 緒言 110m 110mH ,9,11,12, mH 12s 16s 152 9,11, mH 11,12 11, s 16s 12s 13s 14s 15s 16s s 19 14s mH s 14s , s 14.59s 110mH 2. 方法 2.1 対象者 110mH mH 110mH

3 110mH 13.71s 14.59s mH s mH レースの撮影 110mH 2 3 CASIO EXILIM EX-F fps 1/500 1/2000s 40m 70m 3 100m /500s 2.3 タッチダウンタイムの算出方法 fps 統計処理 Kolmogorov-Smirnov p= s 16s 12s 13s 14s t Welch 5 3. 結果および考察 3.1 モデルタッチダウンタイムを求める回帰式の傾向 13.71s 14.59s 110mH r = s 16s r = s 13s

4 宮代賢治 山元康平 内藤 62 表2 図1 景 谷川 聡 西嶋尚彦 モデルタッチダウンタイムを求める回帰式 110mH レースにおける記録と第 1 ハードルから第 10 ハードルのタッチダウンタイム (A) (J) との関係 r = s 台では r = の範囲で 平均値は.043s 範囲 :.035s.051s であった 宮 あり 14s 台の第 1 ハードルでの値 r =.748 を除 下 9 の全対象者 12s 16s 台 のデータから作成 いて 本研究の値が比較的高かった 相関係数は された回帰式における全対象者の推定値の標準誤差 分析対象の 2 変数の範囲や対象者数が変わると 大 は 第 1 ハードルから第 6 ハードルまで漸増した後 きく変化することがある これらのことから 分 第 10 ハードルまで.090s 付近で安定しており そ 1 析対象の記録範囲や対象者数が先行研究 と異なっ の平均値は.082s 範囲 : であった 2 たことが 本研究において幾分異なる相関係数が算 つの平均値を統計的に比較した結果 本研究の値が 出された要因であると考えられる 有意に低かった p<.05 同じ回帰式における 12s 9 13s 台のみの推定値の標準誤差は 本研究と同様 3.2 推定値の標準誤差 得られた 10 本の回帰式における推定値の標準誤 に 第 1 ハードルから第 6 ハードルまで漸増した後 第 10 ハードルまで漸減しており その平均値.056 差は 第 1 ハードルから第 6 ハードルまで漸増した 範囲 : は 本研究の値と比較して 有 後 第 10 ハードルまで漸減しており 表 2 その 意に高かった p<.05 また 14s 台のみの推定値

5 110mH 13.71s 14.59s : n.s. 9 12s 13s 14s 15s 16s 12s 13s.054 : p<.05 14s.055 : n.s. 9 12s 13s s ,11, s s 14s 14s 13.71s 14.59s 9 14s 3.3 モデルタッチダウンタイム s 14.59s 14.15s [ ] 9 12s 16s 12s 13s 14s s s s 14.59s 3 9

6 宮代賢治 山元康平 内藤 64 景 谷川 聡 西嶋尚彦 であることから この範囲の記録に対応した誤差の モデルランインタイムで差が大きかった 特に モ 小さいタッチダウンタイムが測定され 比較的良好 デ ル ラ ン イ ン タ イ ム で は 最 も 遅 い 14.59s に お い なモデルタッチダウンタイムが得られたと考えられ て.100s の差が生じた 表 4 モデルタッチダウ る ンタイムの項でも述べたように 宮下 9 の分析対 象者数 特に 14s 台前半 が少ないことが回帰式の 3.4 モデルアプローチタイム モデル区間タイム 傾きや切片の値を変化させ このような差が生じた モデル平均区間タイム およびモデルランイ 主要因であると考えられる ンタイム モデルタッチダウンタイムと同様に 本研究の回 表 4 には モデルタッチダウンタイムから求めら 帰式から 比較的良好なモデルアプローチタイム れたモデルアプローチタイム モデル区間タイム モデル区間タイム モデル平均区間タイム および モデル平均区間タイム およびモデルランインタイ モデルランインタイムが得られたと考えられる ムを 同様に 13.71s 14.15s 14.59s の記録で示した 宮下 9 は タッチダウンタイムから算出するこれ 3.5 記録と区間スピードとの関係 レース中のモ らモデルタイムの傾向を見る場合には 競技レベル デル区間スピードおよびモデル 区間スピー 階層別の回帰式を利用することを推奨している こ ドの変化 のことから 表 4 には [ ] 内の数字として 宮下 図 2 には 記録と各ハードル間 計 9 区間 のス の 12s 13s 台もしくは 14s 台のデータによる回帰 ピードとの関係を示した 対象者における各区間の 式から算出された各モデルタイムとの差を示した スピードは ハードル間距離 9.14m を区間タイ 本研究と宮下 の各タイム差を見ると 14.15s およ ムで除した値であった また 区間タイムはタッチ び 14.59s の記録では モデルアプローチタイムと ダウンタイムとその 1 つ前のタッチダウンタイムと 9 表4 9 モデルアプローチタイム モデル区間タイム モデル平均区間タイム モデルランインタイム およびそれらの先 行研究 9 との差 図2 110mH レースにおける記録と第 1 区間から第 9 区間のスピード (A) (I) との関係

7 110mH 13.71s 14.59s mH m s 14.15s 14.59s 110mH s 14.15s 14.59s 110mH s s 3 110mH 8 100m 100m mH 4 110mH < (A)13.71s, (B)14.15s,(C)14.59s>

8 m 7 110mH 110mH 100m 研究の限界 110mH 13.71s 14.59s 4. 結論 110mH 13.71s 14.59s 110mH 110mH 13.71s 14.59s 5. 今後の課題 謝辞 6 文献 m 59: mH 62 8 : mH 60 8 : mH 61 8 : m :

9 110mH 13.71s 14.59s a 110m 14: b 110mH 43 6 : mH m & & mHurdle m 13: Susanka, P. (1990): Presentation of biomechanical knowledge of hurdle running. Technique in Athletics 1 The First International Conference, I.A.F.,

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