Compston Juliet E, Flahive Julie, Hosmer David W, Watts Nelson B, Siris Ethel S, Silverman Stuart, Saag Kenneth G, Roux Christian, Rossini Maurizio, Pfeilschifter Johannes, Nieves Jeri W, Netelenbos J Coen, March Lyn, LaCroix Andrea Z, Hooven Frederick H, Greenspan Susan L, Gehlbach Stephen H, Díez-Pérez Adolfo, Cooper Cyrus, Chapurlat Roland D, Boonen Steven, Anderson Frederick A, Adami Silvano, Adachi Jonathan D
Cambridge University Hospitals National Health Service (NHS) Foundation Trust, Cambridge, UK.
J Bone Miner Res. 2014 Feb;29(2):487-93. doi: 10.1002/jbmr.2051.
Low body mass index (BMI) is a well-established risk factor for fracture in postmenopausal women. Height and obesity have also been associated with increased fracture risk at some sites. We investigated the relationships of weight, BMI, and height with incident clinical fracture in a practice-based cohort of postmenopausal women participating in the Global Longitudinal study of Osteoporosis in Women (GLOW). Data were collected at baseline and at 1, 2, and 3 years. For hip, spine, wrist, pelvis, rib, upper arm/shoulder, clavicle, ankle, lower leg, and upper leg fractures, we modeled the time to incident self-reported fracture over a 3-year period using the Cox proportional hazards model and fitted the best linear or nonlinear models containing height, weight, and BMI. Of 52,939 women, 3628 (6.9%) reported an incident clinical fracture during the 3-year follow-up period. Linear BMI showed a significant inverse association with hip, clinical spine, and wrist fractures: adjusted hazard ratios (HRs) (95% confidence intervals [CIs]) per increase of 5 kg/m(2) were 0.80 (0.71-0.90), 0.83 (0.76-0.92), and 0.88 (0.83-0.94), respectively (all p < 0.001). For ankle fractures, linear weight showed a significant positive association: adjusted HR per 5-kg increase 1.05 (1.02-1.07) (p < 0.001). For upper arm/shoulder and clavicle fractures, only linear height was significantly associated: adjusted HRs per 10-cm increase were 0.85 (0.75-0.97) (p = 0.02) and 0.73 (0.57-0.92) (p = 0.009), respectively. For pelvic and rib fractures, the best models were for nonlinear BMI or weight (p = 0.05 and 0.03, respectively), with inverse associations at low BMI/body weight and positive associations at high values. These data demonstrate that the relationships between fracture and weight, BMI, and height are site-specific. The different associations may be mediated, at least in part, by effects on bone mineral density, bone structure and geometry, and patterns of falling.
低体重指数(BMI)是绝经后女性骨折的一个公认风险因素。身高和肥胖也与某些部位骨折风险增加有关。我们在参与全球女性骨质疏松症纵向研究(GLOW)的绝经后女性实践队列中,调查了体重、BMI和身高与临床骨折发生率之间的关系。在基线以及第1、2和3年收集数据。对于髋部、脊柱、腕部、骨盆、肋骨、上臂/肩部、锁骨、脚踝、小腿和大腿骨折,我们使用Cox比例风险模型对3年内自我报告的骨折发生时间进行建模,并拟合包含身高、体重和BMI的最佳线性或非线性模型。在52939名女性中,3628名(6.9%)在3年随访期内报告了临床骨折。线性BMI与髋部、临床脊柱和腕部骨折呈显著负相关:每增加5 kg/m²的调整风险比(HRs)(95%置信区间[CIs])分别为0.80(0.71 - 0.90)、0.83(0.76 - 0.92)和0.88(0.83 - 0.94)(均p < 0.001)。对于脚踝骨折,线性体重呈显著正相关:每增加5 kg的调整HR为1.05(1.02 - 1.07)(p < 0.001)。对于上臂/肩部和锁骨骨折,仅线性身高有显著关联:每增加10 cm的调整HR分别为0.85(0.75 - 0.97)(p = 0.02)和0.73(0.57 - 0.92)(p = 0.009)。对于骨盆和肋骨骨折,最佳模型是关于非线性BMI或体重(分别为p = 0.05和0.03),在低BMI/体重时呈负相关,在高值时呈正相关。这些数据表明骨折与体重、BMI和身高之间的关系具有部位特异性。不同的关联可能至少部分是由对骨密度、骨结构和几何形状以及跌倒模式的影响所介导的。