Amin Hamzah, Swainson Michelle G, Khan Muhammed Aqib, Bukhari Marwan
Lancaster University, Lancaster, UK.
Royal Lancaster Infirmary, Lancaster, UK.
J Cachexia Sarcopenia Muscle. 2025 Apr;16(2):e13808. doi: 10.1002/jcsm.13808.
Evidence suggests that high body fat and low muscle mass may increase the risk of fragility fractures. However, current fracture risk models, which largely rely on body mass index (BMI), may not fully capture these compositional factors. We recommend integrating additional body composition variables into fracture risk calculators to improve accuracy. Previously, we described partial body fat percentage (PBF%), a novel measure that is routinely available and calculated as the proportion of fat at the lumbar spine and hip during DXA scans. We hypothesize that a combined BMI and PBF% approach (BMI/PBF%) could be associated with fragility fracture.
Patients were referred to our DXA scanner between June 2004 and February 2024 and had combined lumbar spine and bilateral femoral scans. Patients were initially categorized by BMI (underweight, normal weight, overweight and obese) and then divided into tertiles of PBF%. Based on each patient's unique combination of BMI and PBF% tertile, they were stratified into 12 binary BMI/PBF% groups for analysis. Multivariable logistic regression models, reporting odds ratios (OR), with BMI/PBF% groups as the independent variables and fragility fractures as the dependent variable were fit, with all results adjusted for known fracture risk factors.
We analysed 36 235 patients (83.4% female, 16.6% male), of whom 14 342 (39.5%) reported fragility fractures. The median (IQR) age was 67.7 (57.5-75.0) years, with a BMI of 26.4 (23.3-30.2) kg/m and PBF% of 30.6% (25.5% - 35.4%). In females, those in the lowest PBF% tertile had reduced odds of fragility fractures across all BMI categories (e.g., obese low PBF%: OR 0.70, 95% CI 0.64-0.78), whereas in males, this reduction was observed only amongst overweight and obese individuals (e.g., obese low PBF%: OR 0.71, 95% CI 0.57-0.88). No association was found for patients in the middle PBF% tertile across any BMI group. In contrast, females in the highest PBF% tertile exhibited increased odds of fractures across all BMI categories except underweight (e.g., obese high PBF%: OR 1.31, 95% CI 1.22-1.42), and a similar pattern was seen in males, but limited to the overweight and obese groups (e.g., obese high PBF%: OR 1.27, 95% CI 1.04-1.55).
High or low PBF% within BMI categories is associated with fragility fractures, challenging the traditional notion that high BMI protects against fractures. This study highlights the importance of body composition measures beyond BMI in fracture risk assessment.
有证据表明,高体脂和低肌肉量可能会增加脆性骨折的风险。然而,目前主要依赖体重指数(BMI)的骨折风险模型可能无法完全捕捉这些成分因素。我们建议将其他身体成分变量纳入骨折风险计算器,以提高准确性。此前,我们描述了局部体脂百分比(PBF%),这是一种常规可用的新指标,通过双能X线吸收法(DXA)扫描时腰椎和髋部的脂肪比例来计算。我们假设BMI与PBF%相结合的方法(BMI/PBF%)可能与脆性骨折有关。
2004年6月至2024年2月期间,患者被转诊至我们的DXA扫描仪进行腰椎和双侧股骨联合扫描。患者首先按BMI分类(体重过轻、正常体重、超重和肥胖),然后分为PBF%三分位数组。根据每位患者BMI和PBF%三分位数的独特组合,将他们分为12个二元BMI/PBF%组进行分析。以BMI/PBF%组为自变量、脆性骨折为因变量,拟合多变量逻辑回归模型,报告比值比(OR),所有结果均针对已知的骨折风险因素进行调整。
我们分析了36235例患者(83.4%为女性,16.6%为男性),其中14342例(39.5%)报告有脆性骨折。年龄中位数(IQR)为67.7(57.5 - 75.0)岁,BMI为26.4(23.3 - 30.2)kg/m²,PBF%为30.6%(25.5% - 35.4%)。在女性中,所有BMI类别中PBF%最低三分位数组的脆性骨折几率降低(例如,肥胖且PBF%低:OR 0.70,95%CI 0.64 - 0.78),而在男性中,仅在超重和肥胖个体中观察到这种降低(例如,肥胖且PBF%低:OR 0.71,95%CI 0.57 - 0.88)。在任何BMI组中,PBF%中间三分位数组的患者未发现关联。相比之下,PBF%最高三分位数组的女性在除体重过轻外的所有BMI类别中骨折几率增加(例如,肥胖且PBF%高:OR 1.31,95%CI 1.22 - 1.42),男性也有类似模式,但仅限于超重和肥胖组(例如,肥胖且PBF%高:OR 1.27,95%CI 1.04 - 1.55)。
BMI类别内PBF%过高或过低均与脆性骨折有关,这对高BMI可预防骨折的传统观念提出了挑战。本研究强调了除BMI外身体成分测量在骨折风险评估中的重要性。