Ws. Marras et al., Female and male trunk geometry: size and prediction of the spine loading trunk muscles derived from MRI, CLIN BIOMEC, 16(1), 2001, pp. 38-46
Objective. Develop a gender specific database of trunk muscle cross-section
al areas across multiple levels of the thoracic and lumbar spine and develo
p prediction equations for the physiological cross-sectional area as a func
tion of gender and anthropometry.
Design. This study quantified trunk muscle cross-sectional areas of male an
d female spine loading muscles.
Background. There is a lack of comprehensive data regarding the female spin
e loading muscle size. Although biomechanical models often assume females a
re the same as males, little is known regarding gender differences in terms
of trunk muscle areas and no data exist regarding the prediction of trunk
muscle physiological cross-sectional areas from commonly used external anth
ropometric measures.
Methods. Magnetic resonance imaging scans through the vertebral bodies from
Tg through SI were performed on 20 females and 10 males. Muscle fiber angl
e corrected cross-sectional areas were recorded at each vertebral level. Li
near regression techniques taking into account anthropometric measures were
utilized to develop prediction equations for the physiological cross-secti
onal area for each muscle of interest, as well as tests for differences in
cross-sectional areas due to gender and side of the body.
Results. Significant gender differences were observed for the prediction of
the erector spinae, internal and external obliques, psoas major and quadra
tus lumborum physiological cross-sectional areas. Anthropometric measures a
bout the xyphoid process and combinations of height and weight resulted in
better predictions of cross-sectional areas than when using traditional ant
hropometry.
Conclusions. This study demonstrates that the trunk muscle geometry of fema
les and males are different, and that these differences should be considere
d in the development of biomechanical models of the torso.
Relevance The prediction of physiological cross-sectional areas from extern
al anthropometric measures provide gender specific equations to assist in e
stimation of forces of muscles which load the spine for biomechanical purpo
ses. (C) 2001 Elsevier Science Ltd. All rights reserved.