Horrigan Louise A, Cooke Mairead, Diskin Jessica, Brennan Attracta, Carey John J
Physiology, School of Medicine, College of Medicine, Nursing and Health Sciences, University of Galway, Ireland.
School of Computer Science, College of Science and Engineering, University of Galway, Ireland.
J Orthop. 2024 Nov 19;64:29-33. doi: 10.1016/j.jor.2024.11.009. eCollection 2025 Jun.
A treatment gap exists in osteoporosis, with people at risk of fracture often not identified. Dual X-Ray Absorptiometry is the gold standard technique for the identification of low bone mass, but it is not always easily accessible. Bioimpedance analysis (BIA) is a non-invasive, safe and portable technology, which can provide a calculated estimate of bone mass. However, the validity of using BIA in the assessment of bone health is largely unknown. The objective of this study was to examine BIA-derived bone mass (BBM) data from a local population, with the aim of exploring its potential for use as a preliminary osteoporosis screening tool. A convenience sample of 124 participants (40 males, 84 females) was recruited from the local population. BIA was performed on participants according to standard procedures. BBM data was analysed in relation to weight, height, sex, age and BMI. Data was analysed using ANOVA, hierarchial regression, and bivariate correlation as appropriate. Weight was strongly associated with BBM (R = 0.637, < 0.001), providing the greatest contribution to variance, of the factors examined. BBM was also positively associated with height, in a model that included weight (ΔR = 0.218, < 0.001). Females had a significantly lower bone mass than males, independent of weight and height (ΔR = 0.055, < 0.001). There was a small negative association of BBM with age, in a model that included weight and sex (ΔR = 0.011; = 0.002). A positive correlation between BMI and BBM was found in both males ( (3) = 0.482, = 0.002), and females ( (82) = 0.565, < 0.001). The finding that BBM values are associated with factors known to be relevant to fracture risk, provides a rationale to perform further studies to investigate if BBM values could have validity for point-of-care assessment of bone health.
骨质疏松症存在治疗缺口，骨折风险人群往往未被识别。双能X线吸收法是识别低骨量的金标准技术，但并非总是易于获得。生物电阻抗分析（BIA）是一种非侵入性、安全且便携的技术，它可以提供骨量的计算估计值。然而，在评估骨骼健康中使用BIA的有效性在很大程度上尚不清楚。本研究的目的是检查来自当地人群的BIA衍生骨量（BBM）数据，旨在探索其作为初步骨质疏松症筛查工具的潜力。从当地人群中招募了124名参与者（40名男性，84名女性）的便利样本。根据标准程序对参与者进行BIA。分析了BBM数据与体重、身高、性别、年龄和BMI的关系。根据情况使用方差分析、层次回归和双变量相关性分析数据。体重与BBM密切相关（R = 0.637，<0.001），在所检查的因素中，对变异性的贡献最大。在包含体重的模型中，BBM也与身高呈正相关（ΔR = 0.218，<0.001）。女性的骨量明显低于男性，与体重和身高无关（ΔR = 0.055，<0.001）。在包含体重和性别的模型中，BBM与年龄存在小的负相关（ΔR = 0.011； = 0.002）。在男性（ （3） = 0.482， = 0.002）和女性（ （82） = 0.565，<0.001）中均发现BMI与BBM呈正相关。BBM值与已知与骨折风险相关的因素相关这一发现，为进行进一步研究以调查BBM值是否对骨骼健康的即时护理评估具有有效性提供了理论依据。
