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Effect of Head and Neck Anthropometry on the Normal Range of Motion of the Cervical Spine of Prepubescent Children

Kettering University-Janet Brelin-Fornari, Terri Lynch-Caris
Oakland University-Karl Majeske
Published 2009-06-09 by SAE International in United States
Application of cervical spine range of motion data and related anthropometric measures of the head and neck include physical therapy, product design, and computational modeling. This study utilized the Cervical Range of Motion device (CROM) to define the normal range of motion of the cervical spine for subjects five (5) through ten (10) years of age. And, the data was collected and analyzed with respect to anatomical measures such as head circumference, face height, neck length, and neck circumference. This study correlates these static anthropometric measures to the kinematic measurement of head flexion, extension, lateral extension, and rotation. An analysis using Pearson's correlation coefficient and a hypothesis test to evaluate the significance of the correlation indicated a statistically significant linear relationship between neck length and flexion r(156) = +0.16, p<0.042, neck length and lateral extension r(156) = +0.21, p<0.009, neck length and rotation r(156) = +0.17, p<0.035, neck circumference and lateral extension r(156) = −0.23, p<0.004, and head circumference and rotation r(156) = +0.21, p<0.009.
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Cervical Range of Motion Data in Children

Kettering University-Terri Lynch-Caris, Janet Brelin-Fornari
McLaren Regional Medical Center-Christopher Van Pelt
Published 2006-04-03 by SAE International in United States
The “Range-of Motion of the Cervical Spine of Children” study is a collaboration between Kettering University and McLaren Regional Medical Center in Flint, Michigan to quantify and establish benchmarks of “normal” range of motion (ROM) in children. The results will be analyzed to determine mean and standard deviation of degrees of rotation and used to improve the occupant protection in motor vehicles, sports equipment and benefits of physical therapy. The data will be invaluable in the development of computational models to analyze processes involving children in motion.
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