Department of Biomedical Sciences for Health, Università degli Studi di Milano, 20133 Milan, Italy.
Faculty of Physical Education and Sport, Ovidius University of Constanta, 900470 Constanta, Romania.
Int J Environ Res Public Health. 2021 Dec 16;18(24):13287. doi: 10.3390/ijerph182413287.
The study aimed to explore the sensitivity and specificity of a new methodological approach related to the musical rhythm for discriminating a competitive Cuban dancer's (CDCs) level. Thirty CDCs (Age 23.87 ± 1.76 years, body mass 60.33 ± 9.45 kg, stature 1.68 ± 0.07 m) were divided into three groups: beginner (BEG, = 10), intermediate (INT, = 10), and advanced (ADV, = 10) according to their training experience/level. Each dancer was assessed while dancing at three different musical rhythms: fast (118 BPM), medium (96 BPM), and slow (82 BPM). The assessed variables were average heart rate (HR), peak (HR), and dancing time (DC). The ADV group succeeded at all three musical combinations (317, 302, 309 s for 82, 96, 118 BPM). The INT group correctly performed only the first two combinations (304, 304 s for 82, 96 BPM), while a significant time difference was shown at the fast musical rhythm (198 ± 6.64 s) compared to the medium ( < 0.001) and slow rhythms ( < 0.001) respectively. As the speed of the musical rhythms increased, the BEG group was not able to follow the rhythm: their results were 300 ± 1.25 s for the slow musical rhythm, 94.90 ± 12.80 s for the medium musical rhythm and 34.10 ± 5.17 s for the fast musical rhythm ( < 0.001). The HR and HR grew along with the increase in musical rhythm for all groups ( < 0.001). The ROC analysis showed a high sensitivity and specificity in discriminating the groups for each rhythm's condition. The BEG and INT groups showed an AUC = 0.864 (95% CI = 0.864-0.954); INT and ADV showed an AUC = 0.864 (95% CI = 0.864-0.952); BEG and ADV showed an AUC = 0.998 (95% CI = 0.993-1.000). The results of this study provided evidence to support the construct and ecological validity of the time of the musical rhythms related to competitive CDCs. Furthermore, the differences in the performances according to various musical rhythms, fast (118 BPM), medium (96 BPM), and slow (82 BPM), succeeded in discriminating a dancer's level. Coaches and strength and conditioning professionals should include the Cuban Dance Field Test (CDFT) in their test battery when dealing with talent detection, selection, and development.
本研究旨在探索一种与音乐节奏相关的新方法，以探讨其在区分古巴竞技舞者（CDCs）水平方面的敏感性和特异性。30 名 CDC（年龄 23.87 ± 1.76 岁，体重 60.33 ± 9.45 公斤，身高 1.68 ± 0.07 米）根据训练经验/水平分为三组：初学者（BEG，n = 10）、中级（INT，n = 10）和高级（ADV，n = 10）。每位舞者在三种不同的音乐节奏下进行评估：快（118 BPM）、中（96 BPM）和慢（82 BPM）。评估的变量是平均心率（HR）、峰值（HR）和舞蹈时间（DC）。ADV 组在所有三种音乐组合中都成功（82、96、118 BPM 的平均时间分别为 317、302、309 s）。INT 组仅正确执行了前两个组合（82、96 BPM 的平均时间分别为 304、304 s），而在快节奏音乐中表现出明显的时间差异（198 ± 6.64 s），与中（ < 0.001）和慢节奏（ < 0.001）相比。随着音乐节奏的加快，BEG 组无法跟上节奏：他们在慢节奏下的成绩为 300 ± 1.25 s，中速节奏下为 94.90 ± 12.80 s，快速节奏下为 34.10 ± 5.17 s（ < 0.001）。所有组的 HR 和 HR 均随着音乐节奏的增加而增加（ < 0.001）。ROC 分析显示，在区分各节奏条件下的组时，具有较高的敏感性和特异性。BEG 和 INT 组的 AUC = 0.864（95% CI = 0.864-0.954）；INT 和 ADV 的 AUC = 0.864（95% CI = 0.864-0.952）；BEG 和 ADV 的 AUC = 0.998（95% CI = 0.993-1.000）。本研究的结果为与竞技 CDC 相关的音乐节奏时间的构建和生态有效性提供了证据。此外，根据不同音乐节奏（快（118 BPM）、中（96 BPM）和慢（82 BPM））的表现差异成功区分了舞者的水平。教练和力量与调节专业人员在进行人才检测、选拔和发展时，应将古巴舞蹈现场测试（CDFT）纳入其测试组合中。
