Schmid Stefan
Bern University of Applied Sciences, Department of Health Professions, Division of Physiotherapy, Spinal Movement Biomechanics Group, Murtenstrasse 10, 3008, Bern, Switzerland.
University of Basel, Faculty of Medicine, Klingelbergstrasse 61, 4056, Basel, Switzerland.
Arch Physiother. 2022 Apr 22;12(1):8. doi: 10.1186/s40945-022-00135-4.
Most of the studies evaluating lifting behavior only focus on very localized parameters such as lumbar spine flexion, while evaluations of whole-body strategies are largely lacking. To enable relatively simple evaluations of whole-body strategies, this study aimed at developing a novel index for quantifying the stoop-squat behavior, and to establish normative values of the index for healthy pain-free adults.
A novel index, the Stoop-Squat-Index, was developed, which describes the proportion between trunk forward lean and lower extremity joint flexion, with possible values ranging from 0 (full squat lifting) to 100 (full stoop lifting). To enable the interpretation of the index in a real-life setting, normative values for lifting a moderately-weighted object (15-kg-box) with a full squat and a full stoop technique were established using motion capture data from 30 healthy pain-free individuals that underwent motion analysis of squat and stoop lifting in the context of a previously conducted study.
The results showed mean index values of lower than 30 and higher than 90 for the most relevant phases of the squat and stoop movements, respectively, with mean index values differing significantly from each other for the full duration of the lifting phases.
The main advantages of the index are that it is simple to calculate and can not only be derived from motion capture data but also from conventional video recordings, which enables large-scale in-field measurements with relatively low expenditure. When used in combination with lumbar spine flexion measurements, the index can contribute important information, which is necessary for comprehensively evaluating whole-body lifting strategies and to shed more light on the debate over the connection between lifting posture and back complaints.
大多数评估举重行为的研究仅关注非常局部的参数,如腰椎前屈,而对全身策略的评估则基本缺失。为了能够对全身策略进行相对简单的评估,本研究旨在开发一种用于量化弯腰 - 深蹲行为的新指标,并为健康无疼痛的成年人建立该指标的正常值。
开发了一种新指标,即弯腰 - 深蹲指数,它描述了躯干前倾与下肢关节屈曲之间的比例,可能值范围从0(全蹲举重)到100(全弯腰举重)。为了能够在现实生活场景中解释该指标,利用先前一项研究中30名健康无疼痛个体进行深蹲和弯腰举重动作分析的运动捕捉数据,建立了使用全蹲和全弯腰技术举起中等重量物体(15公斤箱子)时的正常值。
结果显示,深蹲和弯腰动作最相关阶段的平均指数值分别低于30和高于90,在整个举重阶段,平均指数值彼此差异显著。
该指标的主要优点是计算简单,不仅可以从运动捕捉数据中得出,也可以从传统视频记录中得出,这使得能够以相对较低的成本进行大规模现场测量。当与腰椎前屈测量结合使用时,该指标可以提供重要信息,这对于全面评估全身举重策略以及更清楚地了解举重姿势与背部疼痛之间的关系辩论是必要的。