School of Kinesiology, Applied Health and Recreation, Oklahoma State University, Stillwater, Oklahoma.
Tactical Fitness and Nutrition Lab, Oklahoma State University, Stillwater, Oklahoma; and.
J Strength Cond Res. 2024 Mar 1;38(3):607-611. doi: 10.1519/JSC.0000000000004701.
Thompson, MB, Johnson, QR, Lindsay, KG, and Dawes, JJ. Development of an abbreviated model for predicting functional movement screen score within tactical populations. J Strength Cond Res 38(3): 607-611, 2024-The Functional Movement Screen (FMS) is a tool commonly used to identify compensations when performing 7 specific movement patterns. Timely administration of the full FMS is largely dependent on the practitioner's familiarity and experience with the screening battery. When working in populations that are time-poor (i.e., tactical professionals), administration of the full movement pattern battery is not always feasible. The purpose of this study was to determine which, if any, combination of movement patterns that comprise the FMS could be used to predict total score on this screen among first responders. Functional Movement Screen scores for 99 male subjects (mean ± SD; age: 37.55 ± 9.83 years; height: 180.38 ± 6.59 cm; and body mass: 97.87 ± 15.32 kg) and 9 female subjects (age: 33.22 ± 3.99 years; height: 172.11 ± 8.19 cm; and body mass: 83.99 ± 14.09 kg) from a single law enforcement and fire agency were used for this analysis. Subjects performed the full FMS, which consisted of the following movement patterns: deep squat (DS), hurdle step (HS), in-line lunge (ILL), shoulder mobility (SM), active straight leg raise (ASLR), trunk stability push-up (PU), and rotary stability (RS). A stepwise regression was used to determine the best predictors of the FMS 7-pattern model based on the model's R2. Cronbach's alpha and Guttman's lambda-2 were used to determine the reliability of the proposed models. The regression indicated that a 4-pattern model consisting of DS, ILL, SM, and PU was sufficient to predict approximately 84% of the full model (adjusted R2 = 0.84, p ≤ 0.001). This 4-pattern model was shown to be reliable with the 7-pattern model (α = 0.93, λ = 0.93). Using this modified version of the FMS may allow practitioners working in tactical populations a time-efficient method of identifying dysfunctional movement and determine whether the full 7-pattern model of the FMS should be considered.
汤普森、约翰逊、林赛和道斯。预测战术人群中功能性运动筛查评分的简化模型的开发。J 力量与体能研究 38(3):607-611,2024-功能性运动筛查(FMS)是一种常用的工具,用于识别在执行 7 种特定运动模式时的代偿。全面实施 FMS 在很大程度上取决于从业者对筛查电池的熟悉程度和经验。当在时间紧张的人群(即战术专业人员)中工作时,并非总是可以实施完整的运动模式电池。本研究的目的是确定组成 FMS 的运动模式组合,如果有的话,可以用来预测急救人员的总分数。对来自一个单一执法和消防机构的 99 名男性受试者(均值±标准差;年龄:37.55±9.83 岁;身高:180.38±6.59cm;体重:97.87±15.32kg)和 9 名女性受试者(年龄:33.22±3.99 岁;身高:172.11±8.19cm;体重:83.99±14.09kg)的功能性运动筛查评分用于此分析。受试者进行了完整的 FMS,其中包括以下运动模式:深蹲(DS)、跨栏步(HS)、直线弓步(ILL)、肩部活动度(SM)、主动直腿抬高(ASLR)、躯干稳定性俯卧撑(PU)和旋转稳定性(RS)。逐步回归用于根据模型的 R2 确定最佳预测因子,以确定基于 7 种运动模式模型的最佳预测因子。Cronbach 的 alpha 和 Guttman 的 lambda-2 用于确定拟议模型的可靠性。回归表明,由 DS、ILL、SM 和 PU 组成的 4 模式模型足以预测大约 84%的完整模型(调整后的 R2=0.84,p≤0.001)。该 4 模式模型与 7 模式模型一样可靠(α=0.93,λ=0.93)。在战术人群中使用这种经过修改的 FMS 版本可能允许从业者使用一种高效的方法来识别功能障碍性运动,并确定是否应考虑 FMS 的完整 7 种模式模型。