Literature DB >> 29987540

Effect of Subject-Specific Vertebral Position and Head and Neck Size on Calculation of Spine Musculoskeletal Moments.

Anita N Vasavada1,2,3, Ellis Hughes4, Derek D Nevins4,5, Steven M Monda4, David C Lin4,6,7.   

Abstract

Spine musculoskeletal models used to estimate loads and displacements require many simplifying assumptions. We examined how assumptions about subject size and vertebral positions can affect the model outcomes. Head and neck models were developed to represent 30 subjects (15 males and 15 females) in neutral posture and in forward head postures adopted while using tablet computers. We examined the effects of (1) subject size-specific parameters for head mass and muscle strength; and (2) vertebral positions obtained either directly from X-ray or estimated from photographs. The outcome metrics were maximum neck extensor muscle moment, gravitational moment of the head, and gravitational demand, the ratio between gravitational moment and maximum muscle moment. The estimates of maximum muscle moment, gravitational moment and gravitational demand were significantly different when models included subject-specific vertebral positions. Outcome metrics of models that included subject-specific head and neck size were not significantly different from generic models on average, but they had significant sex differences. This work suggests that developing models from X-rays rather than photographs has a large effect on model predictions. Moreover, size-specific model parameters may be important to evaluate sex differences in neck musculoskeletal disorders.

Entities:  

Keywords:  Anthropometry; Cervical spine kinematics; Musculoskeletal modeling; Neck loads

Mesh:

Year:  2018        PMID: 29987540     DOI: 10.1007/s10439-018-2084-9

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  1 in total

1.  Neck musculoskeletal model generation through anthropometric scaling.

Authors:  Paulien E Roos; Anita Vasavada; Liying Zheng; Xianlian Zhou
Journal:  PLoS One       Date:  2020-01-28       Impact factor: 3.240

  1 in total

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