Silva Bruno, Clemente Filipe M, Martins Fernando M
School of Sports and Leisure, Polytechnic Institute of Viana do Castelo, Melgaço, Portugal -
Surfing Viana High Performance Center, Viana do Castelo, Melgaço, Portugal -
J Sports Med Phys Fitness. 2018 May;58(5):583-590. doi: 10.23736/S0022-4707.17.07154-7. Epub 2017 Feb 22.
Functional movement screen (FMS) have been used to assess the movement patterns in daily sports practice. Some associations between FMS scores and physical variables have been found in some sports. Nevertheless, no study was conducted in surf.
Eighteen surf athletes (11 male) participated in the study (18.3±6.3 years; 60.0±9.6 kg; 168.6±8.1 cm). All participants completed anthropometrics, knee-to-wall test, Functional Movement Screen, Isometric Knee Extension, Handgrip, Squat and Countermovement Jump. Based on that, this study investigated: 1) the variance of FMS scores between gender; 2) the association between FMS scores and physical variables of strength of upper and lower limbs, power of lower limbs and anthropometric variables; and 3) which FMS scores best explain the physical performance variables.
The analysis of comparison between gender of each item of FMS showed significant statistical differences only in trunk stability push-up (P=0.01, ES=0.141). Kendall's Tau b correlation test between FMS scores and physical variables, revealed significant associations. After performed the stepwise multiple linear regression, FMS deep squat and trunk stability push-up explain 57% of right side knee-to-wall test and the model is statistically significant (F(2,15)=13.097; P=0.001). In squat jump (height) the results show that FMS trunk stability push-up explains 50.3% of this dimension and the model is statistically significant (F(1,16)=18.182; P=0.001).
FMS individual scores seems to better explain physical variables than total score. Only trunk stability push-up test seems to be a reliable indicator to predict physical performance in surf athletes.
功能性动作筛查（FMS）已被用于评估日常运动训练中的动作模式。在一些运动项目中，已发现FMS分数与身体变量之间存在某些关联。然而，尚未有针对冲浪运动的相关研究。
18名冲浪运动员（11名男性）参与了本研究（年龄18.3±6.3岁；体重60.0±9.6千克；身高168.6±8.1厘米）。所有参与者均完成了人体测量、靠墙静蹲测试、功能性动作筛查、等长伸膝测试、握力测试、深蹲和纵跳测试。基于此，本研究调查了：1）FMS分数在性别间的差异；2）FMS分数与上下肢力量、下肢功率及人体测量变量等身体变量之间的关联；3）哪些FMS分数能最好地解释身体表现变量。
FMS各项目性别间比较分析显示，仅在俯卧撑躯干稳定性测试中有显著统计学差异（P = 0.01，效应量ES = 0.141）。FMS分数与身体变量之间的肯德尔tau-b相关检验显示存在显著关联。进行逐步多元线性回归后，FMS深蹲和俯卧撑躯干稳定性测试可解释右侧靠墙静蹲测试结果的57%，且该模型具有统计学意义（F(2,15)=13.097；P = 0.001）。在深蹲跳（高度）测试中，结果表明FMS俯卧撑躯干稳定性测试可解释该维度结果的50.3%，且该模型具有统计学意义（F(1,16)=18.182；P = 0.001）。
FMS单项分数似乎比总分能更好地解释身体变量。仅俯卧撑躯干稳定性测试似乎是预测冲浪运动员身体表现的可靠指标。
