Al-Hamdani Mohammed, Issa Farah, Abdulla Marah, Abdallah Saja A, Al-Haidose Amal, Abdallah Atiyeh M
Department of Public Health, College of Health Sciences, QU Health, Qatar University, Doha, 2713, Qatar.
Department of Biomedical Sciences, College of Health Sciences, QU Health, Qatar University, Doha, 2713, Qatar.
J Clin Densitom. 2025 Jan-Mar;28(1):101547. doi: 10.1016/j.jocd.2024.101547. Epub 2024 Nov 13.
Bone mineral density (BMD) is an indicator of bone health that predicts future bone fractures. The Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) is used to assess the severity of symptoms related to pain, stiffness, and function in diseased hip and knee joints. Here we assessed whether BMD measured at specific sites predicts WOMAC scores in healthy individuals whilst controlling for sociodemographic variables.
BMD, sociodemographic, and WOMAC data were collected from 1764 healthy adult individuals attending the Qatar Biobank (QBB). Multiple linear regression was used to examine associations between sociodemographic factors, total body BMD and BMD related to specific skeletal sites (including femoral (femoral neck and trochanter), trunk, pelvis and total spine), and the three WOMAC subscales (pain, stiffness, and physical function).
After controlling for sociodemographic variables, total body and specific BMD measures did not predict pain. However, BMD measures significantly contributed to predicting stiffness after controlling for sociodemographic variables (R = 0.065, ΔF(7, 1724) = 3.34, p = 0.002), with a higher total body BMD associated with increased stiffness and a higher trunk BMD associated with decreased stiffness. Total body BMD measures also significantly contributed to predicting compromised physical function (R = 0.091, ΔF(7, 1724) = 3.762, p < 0.001) after controlling for sociodemographic variables, with a higher total body BMD associated with an increase in compromised physical function.
Total body BMD seems to be a more important predictor of stiffness and physical function than specific skeletal sites BMD measures. Monitoring BMD may have important implications for osteoarthritis patients.
骨密度(BMD)是预测未来骨折的骨骼健康指标。西安大略和麦克马斯特大学骨关节炎指数(WOMAC)用于评估患病髋关节和膝关节疼痛、僵硬及功能相关症状的严重程度。在此,我们评估了在控制社会人口统计学变量的情况下,特定部位测量的骨密度是否能预测健康个体的WOMAC评分。
从卡塔尔生物样本库(QBB)的1764名健康成年个体中收集骨密度、社会人口统计学和WOMAC数据。采用多元线性回归分析社会人口统计学因素、全身骨密度以及与特定骨骼部位(包括股骨(股骨颈和大转子)、躯干、骨盆和全脊柱)相关的骨密度与WOMAC三个子量表(疼痛、僵硬和身体功能)之间的关联。
在控制社会人口统计学变量后,全身和特定骨密度测量值不能预测疼痛。然而,在控制社会人口统计学变量后,骨密度测量值对预测僵硬有显著贡献(R = 0.065,ΔF(7, 1724) = 3.34,p = 0.002),全身骨密度越高,僵硬程度越高,躯干骨密度越高,僵硬程度越低。在控制社会人口统计学变量后,全身骨密度测量值对预测身体功能受损也有显著贡献(R = 0.091,ΔF(7, 1724) = 3.762,p < 0.001),全身骨密度越高,身体功能受损程度越高。
全身骨密度似乎比特定骨骼部位的骨密度测量值更能预测僵硬和身体功能。监测骨密度可能对骨关节炎患者具有重要意义。