Cha Soo Min, Shin Hyun Dae, Kim Kyung Cheon, Park Jung Woo
Department of Orthopaedic Surgery, Regional Rheumatoid and Degenerative Arthritis Center, Chungnam National University Hospital, Chungnam National University School of Medicine, Daejeon, South Korea.
Department of Orthopaedic Surgery, Regional Rheumatoid and Degenerative Arthritis Center, Chungnam National University Hospital, Chungnam National University School of Medicine, Daejeon, South Korea.
J Hand Surg Am. 2014 Nov;39(11):2277-84. doi: 10.1016/j.jhsa.2014.06.121. Epub 2014 Jul 30.
To measure grip strengths using several methods by serially excluding 1 or 2 phalanges using a flexion-block orthosis and comparing those with standard grip posture in order to facilitate prediction of clinical or functional outcomes that relate to the contribution of each finger to grip strength.
Two hundred healthy men aged 25 to 30 years were included in the survey. Demographic variables were collected, and anthropometric measurements of the forearm and hand were obtained. Grip strength was measured using all fingers, all fingers except the thumb, all fingers except the index finger, all fingers except the middle finger, all fingers except the ring and little fingers, and all fingers except the little finger. The contribution of each finger to the total grip strength was estimated using the weight value concept.
Grip strength using all 5 fingers was greatest, and the grip strength without the thumb was the second greatest. Grip strengths without the middle finger and without the ring and little fingers were the lowest. Various degrees of positive correlations between each grip method and 8 anthropometric parameters were found. Contributions of the thumb, index, middle, and ring and little fingers to the grip strength were 17%, 22%, 31%, and 29%, respectively.
The middle finger was the most important contributor to grip strength. The next most important was the combination of the ring and little fingers.
The present estimated contributions of each finger to grip strength may facilitate prediction of the clinical or functional outcomes of various pathological conditions.
通过使用屈曲阻滞矫形器依次排除1个或2个指骨,用几种方法测量握力,并将其与标准握姿进行比较,以便于预测与每个手指对握力贡献相关的临床或功能结果。
纳入200名年龄在25至30岁之间的健康男性进行调查。收集人口统计学变量,并获取前臂和手部的人体测量数据。使用所有手指、除拇指外的所有手指、除食指外的所有手指、除中指外的所有手指、除无名指和小指外的所有手指以及除小指外的所有手指测量握力。使用权重值概念估计每个手指对总握力的贡献。
使用所有5根手指时握力最大,不使用拇指时握力次之。不使用中指以及不使用无名指和小指时握力最低。发现每种握力测量方法与8个人体测量参数之间存在不同程度的正相关。拇指、食指、中指、无名指和小指对握力的贡献分别为17%、22%、31%和29%。
中指是握力最重要的贡献者。其次是无名指和小指的组合。
目前对每个手指握力贡献的估计可能有助于预测各种病理状况的临床或功能结果。