Nguyen T, Sambrook P, Kelly P, Jones G, Lord S, Freund J, Eisman J
Bone and Mineral Research Division, Garvan Institute of Medical Research, St Vincent's Hospital, Darlinghurst, NSW, Australia.
BMJ. 1993 Oct 30;307(6912):1111-5. doi: 10.1136/bmj.307.6912.1111.
To investigate the utility of risk factors such as bone mineral density, lifestyle, and postural stability in the prediction of osteoporotic fractures.
Longitudinal, epidemiological, and population based survey.
City of Dubbo, New South Wales.
All residents of Dubbo aged > or = 60 on 1 January 1989.
Incidence of fracture for individual subjects.
The overall incidence of atraumatic fractures in men and women was 1.9% and 3.1% per annum respectively. The predominant sites of fracture were hip (18.9%), distal radius (18.5%), ribs and humerus (11.9% in each case), and ankle and foot (9.1% and 6.6% respectively). Major predictors of fractures in men and women were femoral neck bone mineral density, body sway, and quadriceps strength. Age, years since menopause, height, weight, and lifestyle factors were also correlated with bone mineral density and body sway and hence were indirect risk factors for fracture. Discriminant function analysis correctly identified 96% and 93% (sensitivities 88% and 81%) of men and women, respectively, who subsequently developed atraumatic fractures. Predictions based on this model indicated that a woman with a bone mineral density in the lowest quartile in the hip together with high body sway had a 8.4% probability of fracture per annum. This represented an almost 14-fold increase in risk of fracture compared with a woman in the highest bone mineral density quartile with low postural sway. An individual with all three predictors in the "highest risk" quartile had a 13.1% risk of fracture per annum.
Bone mineral density, body sway, and muscle strength are independent and powerful synergistic predictors of fracture incidence.
探讨骨密度、生活方式和姿势稳定性等危险因素在预测骨质疏松性骨折中的作用。
基于人群的纵向流行病学调查。
新南威尔士州达博市。
1989年1月1日时年龄≥60岁的所有达博市居民。
个体受试者的骨折发生率。
男性和女性非创伤性骨折的总体发生率分别为每年1.9%和3.1%。骨折的主要部位是髋部(18.9%)、桡骨远端(18.5%)、肋骨和肱骨(各占11.9%)以及踝关节和足部(分别为9.1%和6.6%)。男性和女性骨折的主要预测因素是股骨颈骨密度、身体摆动和股四头肌力量。年龄、绝经年限、身高、体重和生活方式因素也与骨密度和身体摆动相关,因此是骨折的间接危险因素。判别函数分析分别正确识别出随后发生非创伤性骨折的男性和女性中的96%和93%(敏感性分别为88%和81%)。基于该模型的预测表明,髋部骨密度处于最低四分位数且身体摆动较大的女性每年发生骨折的概率为8.4%。与骨密度处于最高四分位数且姿势摆动较小的女性相比,这代表骨折风险几乎增加了14倍。所有三个预测因素都处于“最高风险”四分位数的个体每年发生骨折的风险为