Brennan S L, Quirk S E, Hosking S M, Kotowicz M A, Holloway K L, Moloney D J, Dobbins A G, Pasco J A
School of Medicine, Deakin University, Geelong, VIC, 3220, Australia,
Calcif Tissue Int. 2015 Feb;96(2):138-44. doi: 10.1007/s00223-014-9946-4. Epub 2015 Jan 13.
FRAX(©) evaluates 10-year fracture probabilities and can be calculated with and without bone mineral density (BMD). Low socioeconomic status (SES) may affect BMD, and is associated with increased fracture risk. Clinical risk factors differ by SES; however, it is unknown whether aninteraction exists between SES and FRAX determined with and without the BMD. From the Geelong Osteoporosis Study, we drew 819 females aged ≥50 years. Clinical data were collected during 1993-1997. SES was determined by cross-referencing residential addresses with Australian Bureau of Statistics census data and categorized in quintiles. BMD was measured by dual energy X-ray absorptiometry at the same time as other clinical data were collected. Ten-year fracture probabilities were calculated using FRAX (Australia). Using multivariable regression analyses, we examined whether interactions existed between SES and 10-year probability for hip and any major osteoporotic fracture (MOF) defined by use of FRAX with and without BMD. We observed a trend for a SES * FRAX(no-BMD) interaction term for 10-year hip fracture probability (p = 0.09); however, not for MOF (p = 0.42). In women without prior fracture (n = 518), we observed a significant SES * FRAX(no-BMD) interaction term for hip fracture (p = 0.03) and MOF (p = 0.04). SES does not appear to have an interaction with 10-year fracture probabilities determined by FRAX with and without BMD in women with previous fracture; however, it does appear to exist for those without previous fracture.
FRAX(©)评估10年骨折概率,可在有和没有骨密度(BMD)的情况下进行计算。低社会经济地位(SES)可能会影响骨密度,并与骨折风险增加相关。临床风险因素因社会经济地位而异;然而,尚不清楚社会经济地位与使用或不使用骨密度测定的FRAX之间是否存在相互作用。我们从吉朗骨质疏松症研究中选取了819名年龄≥50岁的女性。临床数据于1993年至1997年期间收集。通过将居住地址与澳大利亚统计局人口普查数据交叉对照来确定社会经济地位,并将其分为五个五分位数。在收集其他临床数据的同时,通过双能X线吸收法测量骨密度。使用FRAX(澳大利亚版)计算10年骨折概率。我们采用多变量回归分析,研究了社会经济地位与使用或不使用骨密度测定的FRAX所定义的10年髋部骨折和任何主要骨质疏松性骨折(MOF)概率之间是否存在相互作用。我们观察到社会经济地位FRAX(无骨密度)交互项对10年髋部骨折概率有一个趋势(p = 0.09);然而,对主要骨质疏松性骨折则没有(p = 0.42)。在既往无骨折的女性(n = 518)中,我们观察到社会经济地位FRAX(无骨密度)交互项对髋部骨折(p = 0.03)和主要骨质疏松性骨折(p = 0.04)有显著意义。对于既往有骨折的女性,社会经济地位似乎与使用或不使用骨密度测定的FRAX所确定的10年骨折概率没有相互作用;然而,对于既往无骨折的女性,这种相互作用似乎确实存在。