Advanced Subject-Specific Neck Musculoskeletal Modeling Unveils Sex Differences in Muscle Moment Arm and Cervical Spine Loading
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2024/06/01
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Description:Neck muscle size and strength have been linked to lower injury risk and reduced pain. However, prior findings have been inconclusive and have failed to clarify whether there are sex differences in neck muscle size-strength relationships. Such differences may point to an underlying cause for the reported sex difference in neck pain prevalence. Thirty participants (13 males, 17 females) who underwent neck strength testing and MR imaging were analyzed. Strength was measured in three conditions that differed in posture and exertion direction. Muscle size was quantified by three metrics: anatomical cross-sectional area (ACSA), muscle volume (MV), and an estimate of physiological cross-sectional area-reconstruction-based cross-sectional area (RCSA). Inter-posture strength correlations, muscle size-strength correlations, and sex differences were analyzed with linear regression. Males were approximately 65% stronger and had significantly larger muscles. Strength varied significantly across postures, but only female strength values for different postures were significantly correlated. Observed in males only, the sternocleidomastoid (SCM) was a strong predictor of flexion strength in the neutral posture while the anterior scalene (AS) was more involved in the extended. No extensor's size was significantly linked to extension strength. A greater amount of force variation is unexplained by muscle size alone in females than in males. Males and females exhibited distinct size-strength relationships, highlighting the need for sex-specific models and analyses and the greater potential effect of non-morphometric factors on force generating capacity in females. No advantage of one muscle size metric over another in strength prediction was evidenced. [Description provided by NIOSH]
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ISSN:0021-9290
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Volume:171
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NIOSHTIC Number:nn:20069872
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Citation:J Biomech 2024 Jun; 171:112181
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Contact Point Address:Xudong Zhang, 4077 Emerging Technologies Building, 3131 TAMU, College Station, TX 77843-3131, USA
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Email:xudongzhang@tamu.edu
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Federal Fiscal Year:2024
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Performing Organization:Texas Engineering Experiment Station
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Peer Reviewed:True
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Start Date:20150901
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Source Full Name:Journal of Biomechanics
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End Date:20190831
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Main Document Checksum:urn:sha-512:50853a396a4b463bef4269dce8d7c158dcebf03180ad54a29b05c95c5083bc13abbe7f0b38bdca26d7009bdad577fa4aac5fcaaab27ae13f63926301416c4d82
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