Sex-specific prediction of neck muscle volumes

Liying Zheng; Gunter Siegmund; Gulsum Ozyigit; Anita Vasavada

doi:10.1016/j.jbiomech.2012.12.018

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Sex-specific prediction of neck muscle volumes

Journal article

Open access

Peer reviewed

Sex-specific prediction of neck muscle volumes

Liying Zheng, Gunter Siegmund, Gulsum Ozyigit and Anita Vasavada

Journal of biomechanics, Vol.46(5), pp.899-904

03/15/2013

DOI: https://doi.org/10.1016/j.jbiomech.2012.12.018

Handle:

https://hdl.handle.net/2376/107060

PMCID: PMC3648672

PMID: 23351366

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https://doi.org/10.1016/j.jbiomech.2012.12.018View

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Abstract

Magnetic resonance imaging (MRI)

Sex differences

Neck muscles

gender

Anthropometry

Biomechanical analyses of the head and neck system require knowledge of neck muscle forces, which are often estimated from neck muscle volumes. Here we use magnetic resonance images (MRIs) of 17 subjects (6 females, 11 males) to develop a method to predict the volumes of 16 neck muscles by first predicting the total neck muscle volume (TMV) from subject sex and anthropometry, and then predicting individual neck muscle volumes using fixed volume proportions for each neck muscle. We hypothesized that the regression equations for total muscle volume as well as individual muscle volume proportions would be sex specific. We found that females have 59% lower TMV compared to males (females: 510±43cm3, males: 814±64cm3; p<0.0001) and that TMV (in cm3) was best predicted by a regression equation that included sex (male=0, female=1) and neck circumference (NC, in cm): TMV=269+13.7NC−233Sex (adjusted R2=0.868; p<0.01). Individual muscle volume proportions were not sex specific for most neck muscles, although small sex differences existed for three neck muscles (obliqus capitis inferior, longus capitis, and sternocleidomastoid). When predicting individual muscle volumes in subjects not used to develop the model, coefficients of concordance ranged from 0.91 to 0.99. This method of predicting individual neck muscle volumes has the advantage of using only one sex-specific regression equation and one set of sex-specific volume proportions. These data can be used in biomechanical models to estimate muscle forces and tissue loads in the cervical spine.

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Details

Title: Sex-specific prediction of neck muscle volumes
Creators: Liying Zheng - Washington State University, Pullman, WA 99164-6520, USA
Gunter Siegmund - MEA Forensic Engineers & Scientists, Richmond, BC, Canada
Gulsum Ozyigit - Washington State University, Pullman, WA 99164-6520, USA
Anita Vasavada - Washington State University, Pullman, WA 99164-6520, USA
Publication Details: Journal of biomechanics, Vol.46(5), pp.899-904
Academic Unit: Chemical Engineering and Bioengineering, School of
Publisher: Elsevier Ltd
Identifiers: 99900546899501842
Language: English
Resource Type: Journal article