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首页> 美国卫生研究院文献>Diagnostics >Prediction Model of Soleus Muscle Depth Based on Anthropometric Features: Potential Applications for Dry Needling
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Prediction Model of Soleus Muscle Depth Based on Anthropometric Features: Potential Applications for Dry Needling

机译：基于人体测量学特征的比目鱼肌深度预测模型：干针法的潜在应用

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摘要

This study was conducted to investigate if anthropometric features can predict the depth of the soleus muscle, as assessed with ultrasound imaging, in a sample of healthy individuals to assist clinicians in the application of dry needling. A diagnostic study to calculate the accuracy of a prediction model for soleus muscle depth, as assessed with ultrasonography, in the middle-third and distal-third of the calf, based on anthropometric features such as age, height, weight, body mass index (BMI), calf length, mid-third and distal-third calf girth, was conducted on 48 asymptomatic healthy subjects (75% male) involving a total of 96 calves. Multiple linear regression analyses were used to determine which variables contributed significantly to the variance in the soleus muscle depth at middle-third and distal-third of the calf by gender. Women were found to have a deeper soleus muscle than men ( < 0.001). Weight, height, BMI, and mid-third calf perimeter explained 69.9% of variance in men, whereas mid-third calf perimeter, calf length, height, and distal-third calf girth explained 73% of the variance in women of the distal-third soleus depth ( < 0.001). Additionally, mid-third calf girth and calf length explained 28.8% of variance in men, whereas mid-third calf perimeter, calf length, and weight explained 67.8% of variance in women of the mid-third soleus depth ( < 0.001). This study identified anthropometric features that predict soleus muscle depth, as assessed with ultrasound, in asymptomatic individuals, but these features are different in men and women. Our findings could assist clinicians in choosing the proper length of the needle to avoiding passing through the soleus during dry needling.
机译：进行这项研究的目的是调查健康个体样本中的人体测量特征是否可以预测比目鱼肌的深度（通过超声成像评估），以帮助临床医生应用干式针刺。根据年龄，身高，体重，体重指数等人体测量学特征，进行一项诊断研究，以计算经小腿超声检查的比目鱼肌深度预测模型在小腿中部和远端三分之一的准确性。 BMI），小腿长度，小腿中段和三分之三的腰围是对48例无症状健康受试者（男性占75％）进行的，共计96头小腿。使用多元线性回归分析来确定哪些变量按性别分别对小腿中部和下部三分之一的比目鱼肌深度的变化有显着影响。发现女性的比目鱼肌比男性更深（<0.001）。体重，身高，BMI和小腿中段周长解释了男性的69.9％变异，而三分之二中段周长，小腿长度，身高和小腿末梢的围长解释了男性远端73％的变化。第三比目鱼深度（<0.001）。此外，三分之二比目鱼浅深度的女性中，三分之二的小腿围长和小腿的长度可解释男性差异的28.8％，而三分之二的中小腿的周长，小腿的长度和体重则可解释男性差异的67.8％（<0.001）。这项研究确定了无症状个体的人体测量特征，可预测比目鱼肌深度（通过超声评估），但这些特征在男性和女性中是不同的。我们的发现可以帮助临床医生选择合适的针头长度，避免在干针刺中穿过比目鱼肌。

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