Bauer D C, Browner W S, Cauley J A, Orwoll E S, Scott J C, Black D M, Tao J L, Cummings S R
University of California, San Francisco 94105.
Ann Intern Med. 1993 May 1;118(9):657-65. doi: 10.7326/0003-4819-118-9-199305010-00001.
To determine the factors associated with appendicular bone mass in older women.
Cross-sectional analysis of baseline data collected for a multicenter, prospective study of osteoporotic fractures.
Four clinical centers in Baltimore, Maryland; Minneapolis, Minnesota; Portland, Oregon; and the Monongahela valley, Pennsylvania.
A total of 9704 ambulatory, nonblack women, ages 65 years or older, recruited from population-based listings.
Demographic and historical information and anthropometric measurements were obtained from a baseline questionnaire, interview, and examination. Single-photon absorptiometry scans were obtained at three sites: the distal radius, midradius, and calcaneus. Multivariate associations with bone mass were first examined in a randomly selected half of the cohort (training group) and were then tested on the other half of the cohort (validation group).
In order of decreasing strength of association, estrogen use, non-insulin-dependent diabetes, thiazide use, increased weight, greater muscle strength, later age at menopause, and greater height were independently associated with higher bone mass. Gastric surgery, age, history of maternal fracture, smoking, and caffeine intake were associated with lower bone mass (all P < 0.05). For example, we found that 2 or more years of estrogen use was associated with a 7.2% increase in distal radius bone mass, whereas gastrectomy was associated with an 8.2% decrease in bone mass. The associations between bone mass and dietary calcium intake and rheumatoid arthritis were inconsistent. Alcohol use, physical activity, use of calcium supplements, pregnancy, breast-feeding, parental nationality, and hair color were among the many variables not associated with bone mass. Multivariate models accounted for 20% to 35% of the total variance of bone mass.
A large number of factors influence the bone mass of elderly women; however, age, weight, muscle strength, and estrogen use are the most important factors.
确定老年女性中与附属骨量相关的因素。
对一项骨质疏松性骨折多中心前瞻性研究收集的基线数据进行横断面分析。
马里兰州巴尔的摩、明尼苏达州明尼阿波利斯、俄勒冈州波特兰以及宾夕法尼亚州莫农加希拉河谷的四个临床中心。
从基于人群的名单中招募的共9704名65岁及以上的非黑人门诊女性。
通过基线问卷、访谈和检查获取人口统计学和病史信息以及人体测量数据。在三个部位进行单光子吸收测定扫描:桡骨远端、桡骨中段和跟骨。首先在队列中随机抽取的一半人群(训练组)中检验与骨量的多变量关联,然后在队列的另一半人群(验证组)中进行测试。
按照关联强度递减的顺序,雌激素使用、非胰岛素依赖型糖尿病、噻嗪类药物使用、体重增加、肌肉力量增强、绝经年龄较晚以及身高较高与较高的骨量独立相关。胃手术、年龄、母亲骨折史、吸烟和咖啡因摄入量与较低的骨量相关(所有P<0.05)。例如,我们发现使用雌激素2年或更长时间与桡骨远端骨量增加7.2%相关,而胃切除术与骨量减少8.2%相关。骨量与膳食钙摄入量和类风湿关节炎之间的关联不一致。饮酒、身体活动、使用钙补充剂、怀孕、母乳喂养、父母国籍和头发颜色等众多变量与骨量无关。多变量模型解释了骨量总方差的20%至35%。
大量因素影响老年女性的骨量;然而,年龄、体重、肌肉力量和雌激素使用是最重要的因素。