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骨骼肌质量和椎旁肌指数的性别及年龄特异性分布及其与脊柱矢状面排列的关系:骨关节炎/骨质疏松症抗残疾研究(ROAD研究)

Sex- and Age-Specific Distribution of Skeletal Muscle Mass and Paraspinal Muscle Indices and Their Association With Spinal Sagittal Alignment: The Research on Osteoarthritis/Osteoporosis Against Disability (ROAD) Study.

作者信息

Iwane Naomi, Hashizume Hiroshi, Murata Shizumasa, Mure Kanae, Oka Hiroyuki, Iidaka Toshiko, Sasaki Takahide, Teraguchi Masatoshi, Nagata Keiji, Ishimoto Yuyu, Takami Masanari, Tsutsui Shunji, Iwasaki Hiroshi, Tanaka Sakae, Yamada Hiroshi, Yoshimura Noriko

机构信息

School of Health and Nursing Science, Wakayama Medical University, Wakayama, JPN.

Department of Orthopaedic Surgery, Wakayama Medical University, Wakayama, JPN.

出版信息

Cureus. 2025 May 28;17(5):e84972. doi: 10.7759/cureus.84972. eCollection 2025 May.

DOI:10.7759/cureus.84972
PMID:40585591
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12204120/
Abstract

Background Sagittal spinal malalignment is a significant contributor to reduced quality of life in older adults, associated with chronic back pain, impaired mobility, and psychosocial distress. While age-related loss of skeletal muscle mass (sarcopenia) is known to influence posture, the sex-specific progression of muscle degeneration and its association with sagittal balance remain unclear. Objective The objective of this study is to investigate the age- and sex-specific changes in skeletal and paraspinal muscle indices and their associations with sagittal spinal alignment in a large population-based Japanese cohort. Methods This cross-sectional study used data from the third visit of the Research on Osteoarthritis/Osteoporosis Against Disability (ROAD) study, including 748 community-dwelling adults (220 men, 528 women). Whole-spine lateral radiographs and lumbar magnetic resonance imaging were used to assess the C7 sagittal vertical axis (SVA) and paraspinal muscle composition, respectively. Skeletal muscle mass was evaluated using bioimpedance analysis. Participants were stratified into five age groups, and muscle quantity and quality were analyzed by sex. Multivariate regression analyses were performed to identify predictors of sagittal malalignment. Results As people age, both men and women show a clear increase in the forward tilt of the spine, measured by the C7 SVA, and an increase in fat within the deep back muscles, especially the multifidus and erector spinae. For example, the average SVA increased from 10.3 mm in those under 50 to 46.7 mm in those aged 80 and above (p < 0.001). The fat content in the multifidus at the L1/2 level rose from 12.4% to 29.6% in men and from 15.1% to 35.4% in women. Lower trunk muscle mass, rather than overall skeletal muscle or limb muscle index, was linked to worse spinal alignment in both sexes. Increased fat in the paraspinal muscles, especially at the L1/2 level, was more strongly related to poor posture in women. Conclusion Reduced trunk muscle mass and increased fat infiltration of paraspinal muscles, particularly at the L1/2 level, were independently associated with a forward-shifted SVA (SVA ≥50 mm), especially among women. These findings highlight the central role of trunk muscle quality and quantity in maintaining postural alignment in aging adults and suggest the importance of interventions targeting trunk musculature to prevent age-related sagittal imbalance.

摘要

背景 矢状面脊柱排列不齐是导致老年人生活质量下降的重要因素,与慢性背痛、活动能力受损及心理社会困扰相关。虽然已知与年龄相关的骨骼肌质量丢失(肌肉减少症)会影响姿势,但肌肉退化的性别特异性进展及其与矢状面平衡的关联仍不清楚。目的 本研究的目的是在一个大型日本人群队列中,调查骨骼和椎旁肌肉指标的年龄和性别特异性变化及其与矢状面脊柱排列的关联。方法 这项横断面研究使用了骨关节炎/骨质疏松症抗残疾研究(ROAD)第三次访视的数据,包括748名社区居住成年人(220名男性,528名女性)。全脊柱侧位X线片和腰椎磁共振成像分别用于评估C7矢状垂直轴(SVA)和椎旁肌肉组成。使用生物电阻抗分析评估骨骼肌质量。参与者被分为五个年龄组,并按性别分析肌肉数量和质量。进行多变量回归分析以确定矢状面排列不齐的预测因素。结果 随着年龄增长,男性和女性由C7 SVA测量的脊柱前倾角均明显增加,背部深层肌肉尤其是多裂肌和竖脊肌内的脂肪增加。例如,平均SVA从50岁以下人群的10.3毫米增加到80岁及以上人群的46.7毫米(p<0.001)。L1/2水平多裂肌中的脂肪含量在男性中从12.4%升至29.6%,在女性中从15.1%升至35.4%。在两性中,下躯干肌肉质量而非整体骨骼肌或肢体肌肉指数与脊柱排列较差有关。椎旁肌肉中脂肪增加,尤其是在L1/2水平,与女性姿势不良关系更密切。结论 躯干肌肉质量降低和椎旁肌肉脂肪浸润增加,尤其是在L1/2水平,与SVA前移(SVA≥50毫米)独立相关,尤其是在女性中。这些发现突出了躯干肌肉质量和数量在维持老年人姿势排列中的核心作用,并表明针对躯干肌肉组织进行干预以预防与年龄相关的矢状面失衡的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/103d/12204120/f3fc28ebcbd8/cureus-0017-00000084972-i03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/103d/12204120/d5bea94976b2/cureus-0017-00000084972-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/103d/12204120/d500c35a045c/cureus-0017-00000084972-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/103d/12204120/f3fc28ebcbd8/cureus-0017-00000084972-i03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/103d/12204120/d5bea94976b2/cureus-0017-00000084972-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/103d/12204120/d500c35a045c/cureus-0017-00000084972-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/103d/12204120/f3fc28ebcbd8/cureus-0017-00000084972-i03.jpg

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