RT Journal Article
T1 Prediction Model of Soleus Muscle Depth Based on Anthropometric Features: Potential Applications for Dry Needling
A1 Valera Calero, Juan Antonio
A1 Laguna Rastrojo, Ladislao
A1 de Jesús Franco, Fernando
A1 Cimadevilla Fernández Pola, Eduardo
A1 Cleland, Joshua A.
A1 Fernández de las Peñas, César
A1 Arias Buría, José Luis
AB 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 (p < 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 (p < 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 (p < 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.
PB Multidisciplinary Digital Publishing Institute (MDPI)
YR 2020
FD 2020-05-07
LK https://hdl.handle.net/20.500.14352/136715
UL https://hdl.handle.net/20.500.14352/136715
LA eng
NO Valera-Calero JA, Laguna-Rastrojo L, De-Jesús-Franco F, Cimadevilla-Fernández-Pola E, Cleland JA, Fernández-De-las-Peñas C, et al. Prediction model of soleus muscle depth based on anthropometric features: Potential applications for dry needling. Diagnostics. 2020;10(5).
DS Docta Complutense
RD 21 may 2026