Eidson Christopher A, Jenkins Gavin R, Yuen Hon K, Abernathy Anne M, Brannon Mary Beth, Pung Anna R, Ward Kiara D, Weaver Tara E
Work. 2017;57(1):3-8. doi: 10.3233/WOR-172537.
To identify physical measures that predict maximal handgrip strength (MHGS) and provide evidence for identifying lack of sincerity of effort when assessing upper extremity weakness.
This study investigated anthropometric measurements associated with MHGS of healthy young adults.
A convenience sample of 150 healthy adults ages 19 to 34 years old completed the MHGS assessment, which was measured using a Jamar dynamometer according to the protocol of the American Society of Hand Therapists, for both dominant and non-dominant hands. Several anthropometric data were collected, which included height, body weight, forearm length, forearm circumference, hand length, and hand width.
Multivariable linear regression analysis indicated gender and hand width were uniquely and significantly associated with participants' MHGS for dominant and non-dominant hand and accounted for more than 60% of the variance, with R2 = 0.60, P < 0.001 for the dominant hand model and R2 = 0.64, P < 0.001 for the non-dominant hand model.
Among the forearm and hand anthropometric measures, hand width is the best predictor of MHGS in both the non-dominant and dominant hands for healthy young adults.
确定能够预测最大握力(MHGS)的身体测量指标,并为评估上肢无力时识别努力程度不足提供证据。
本研究调查了与健康年轻成年人最大握力相关的人体测量指标。
选取150名年龄在19至34岁之间的健康成年人作为便利样本,按照美国手治疗师协会的方案,使用Jamar测力计对优势手和非优势手进行最大握力评估。收集了多项人体测量数据,包括身高、体重、前臂长度、前臂周长、手长和手宽。
多变量线性回归分析表明,性别和手宽与参与者优势手和非优势手的最大握力具有独特且显著的相关性,占方差的60%以上,优势手模型的R2 = 0.60,P < 0.001,非优势手模型的R2 = 0.64,P < 0.001。
在前臂和手部人体测量指标中,手宽是健康年轻成年人非优势手和优势手最大握力的最佳预测指标。