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骨密度和脑萎缩对步态变异性相关性的双向中介作用。

Bidirectional mediation of bone mineral density and brain atrophy on their associations with gait variability.

机构信息

School of Public Health, The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China.

Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.

出版信息

Sci Rep. 2024 Apr 11;14(1):8483. doi: 10.1038/s41598-024-59220-2.

Abstract

This mediation analysis aimed to investigate the associations among areal bone mineral density, mobility-related brain atrophy, and specific gait patterns. A total of 595 participants from the Taizhou Imaging Study, who underwent both gait and bone mineral density measurements, were included in this cross-sectional analysis. We used a wearable gait tracking device to collect quantitative gait parameters and then summarized them into independent gait domains with factor analysis. Bone mineral density was measured in the lumbar spine, femoral neck, and total hip using dual-energy X-ray absorptiometry. Magnetic resonance images were obtained on a 3.0-Tesla scanner, and the volumes of brain regions related to mobility were computed using FreeSurfer. Lower bone mineral density was found to be associated with higher gait variability, especially at the site of the lumbar spine (β = 0.174, FDR = 0.001). Besides, higher gait variability was correlated with mobility-related brain atrophy, like the primary motor cortex (β = 0.147, FDR = 0.006), sensorimotor cortex (β = 0.153, FDR = 0.006), and entorhinal cortex (β = 0.106, FDR = 0.043). Bidirectional mediation analysis revealed that regional brain atrophy contributed to higher gait variability through the low lumbar spine bone mineral density (for the primary motor cortex, P = 0.018; for the sensorimotor cortex, P = 0.010) and the low lumbar spine bone mineral density contributed to higher gait variability through the primary motor and sensorimotor cortices (P = 0.026 and 0.010, respectively).

摘要

本中介分析旨在探讨骨密度、与移动相关的脑萎缩和特定步态模式之间的关联。共有 595 名来自台州影像学研究的参与者参与了这项横断面分析,他们同时接受了步态和骨密度测量。我们使用可穿戴式步态跟踪设备收集定量步态参数,然后使用因子分析将其总结为独立的步态域。使用双能 X 射线吸收法测量腰椎、股骨颈和全髋关节的骨密度。在 3.0 特斯拉扫描仪上获取磁共振图像,并使用 FreeSurfer 计算与移动相关的脑区体积。较低的骨密度与较高的步态变异性相关,尤其是在腰椎部位(β=0.174,FDR=0.001)。此外,较高的步态变异性与与移动相关的脑萎缩相关,如初级运动皮层(β=0.147,FDR=0.006)、感觉运动皮层(β=0.153,FDR=0.006)和内嗅皮层(β=0.106,FDR=0.043)。双向中介分析显示,区域脑萎缩通过低腰椎骨密度导致较高的步态变异性(对于初级运动皮层,P=0.018;对于感觉运动皮层,P=0.010),低腰椎骨密度通过初级运动和感觉运动皮层导致较高的步态变异性(P=0.026 和 0.010)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abf4/11009386/3b44dbe916fb/41598_2024_59220_Fig1_HTML.jpg

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