肌肉密度和临床结果的决定因素:赫特福德郡队列研究的结果。

Bone Pub Date : 2022-08-01 DOI:10.2139/ssrn.4108552
F. Laskou, L. Westbury, N. Fuggle, N. Harvey, H. Patel, C. Cooper, K. Ward, E. Dennison
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引用次数: 0

摘要

目的与年龄相关的骨骼肌质量和力量的丧失与不良的健康后果有关。然而,到目前为止,外周定量计算机断层扫描(pQCT)衍生的肌肉密度研究很少。我们使用了一个具有良好特征的老年人队列来确定生活方式和pQCT衍生肌肉密度的人体测量决定因素 几年后,并报告pQCT衍生的肌肉密度与跌倒史和常见骨折之间的关系。方法对197名男性和178名女性进行生活方式问卷调查,基线年龄为59-70岁。中位11.5(IQR 10.9,12.3)年后,对桡骨和胫骨进行pQCT(Stratec XCT2000),以测量前臂肌肉密度(FMD)和小腿肌肉密度(CMD)。通过参与者回忆来确定自45岁以来是否存在跌倒和骨折;还通过使用iDXA的脊椎骨折评估来确定脊椎骨折。使用DXA评估髋关节总骨密度(TH-aBMD)。使用线性回归检查随访时与肌肉密度相关的基线特征;肌肉密度与先前跌倒和骨折之间的关系采用逻辑回归进行研究。所有分析均根据性别和年龄进行了调整。结果肌肉密度测量的平均(SD)年龄为76.3(2.6)岁。男性和女性的平均FMD分别为79.9(3.1)和77.2(3.2);男性和女性的CMD分别为80.7(2.6)和78.5(2.6)。每个部位的肌肉密度存在显著的性别差异(p  0.08)。在肌肉密度和跌倒之间没有发现显著的关系。结论女性、年龄较大、BMI较低与社区老年人随后的肌肉密度较低有关。较低的FMD与先前骨折的风险增加有关。随着时间的推移,肌肉密度的变化可能先于跌倒和骨折等不良结果,并且可能是虚弱的长期预测因素。也有人认为,肌肉密度可能比肌肉大小或质量更能代表功能下降和残疾,但还需要更多的研究来支持这一观点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determinants of muscle density and clinical outcomes: Findings from the Hertfordshire Cohort Study.
PURPOSE The age-related loss of skeletal muscle mass and strength is associated with adverse health outcomes. However, to date, peripheral quantitative computed tomography (pQCT)-derived muscle density has been little studied. We used a well characterised cohort of older adults to identify lifestyle and anthropometric determinants of pQCT-derived muscle density measured 11 years later, and to report relationships between pQCT-derived muscle density with history of falls and prevalent fractures. METHODS A lifestyle questionnaire was administered to 197 men and 178 women, aged 59-70 at baseline. After a median of 11.5 (IQR 10.9, 12.3) years, pQCT (Stratec XCT2000) of the radius and tibia was performed to measure forearm muscle density (FMD) and calf muscle density (CMD). Presence of falls and fractures since the age of 45 were determined through participant recall; vertebral fractures were also ascertained through vertebral fracture assessment using iDXA. Total hip BMD (TH aBMD) was assessed using DXA. Baseline characteristics in relation to muscle density at follow-up were examined using linear regression; associations between muscle density and prior falls and fractures were investigated using logistic regression. All analyses were adjusted for sex and age. RESULTS Mean (SD) age at muscle density measurement was 76.3 (2.6) years. Mean (SD) FMD was 79.9 (3.1) and 77.2 (3.2) among males and females, respectively; CMD was 80.7 (2.6) and 78.5 (2.6) among males and females, respectively. Significant sex-differences in muscle density were observed at each site (p < 0.001). Female sex, lower weight, and lower body mass index were associated (p < 0.05) with both lower FMD and CMD. Additional correlates of lower CMD included older age and shorter stature. Lifestyle measures were not associated with muscle density in this cohort. Lower FMD was related to increased risk of previous fracture (OR (95 % CI) per SD lower FMD: 1.42 (1.07, 1.89), p = 0.015) but not after adjustment for TH aBMD (p > 0.08). No significant relationships were seen between muscle density and falls. CONCLUSION Female sex, older age, and lower BMI were associated with subsequent lower muscle density in older community-dwelling adults. Lower FMD was related to increased risk of previous fracture. Changes in muscle density over time might precede adverse outcomes such as falls and fractures and may be a long-term predictor of frailty. It could be also suggested that muscle density could be a more clinically meaningful surrogate of functional decline and disability than muscle size or mass, but more studies are needed to support this notion.
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