呼和浩特市社区居住中老年人群身体成分分析与骨折风险性的关系

目的通过身体成分分析结果研究其与骨折风险性的关系。方法选取在呼和浩特市社区居住的中老年男女750名,其中男性183名,女性567名,年龄40～90岁。采用双能X线骨密度仪(DXA)进行身体成分和骨密度测定,通过骨折风险调查问卷进一步分析骨折风险性。结果调查人群平均年龄为66岁,女性体质量指数(bnoe mass index,BMI)为25. 7,男性BMI为28. 2;女性股骨颈骨密度为0. 62 g/cm~2,男性为0. 63 g/cm~2;女性未来10年主要部位的骨折风险为5. 9,男性为3. 0;女性未来10年髋部骨折的风险为2. 2,男性为1. 1;女性全身脂肪百分比为36. 8%,男性全身脂肪百分比为36. 4%,两组相比男性瘦组织量高于女性,脂肪百分比小于女性;女性主要部位的骨折与年龄、全身脂肪百分比相关,与股骨颈骨密度、全身瘦组织量与四肢瘦组织量、瘦组织指数呈负相关;男性与女性髋部骨折与年龄呈正相关,与股骨颈骨密度、全身瘦组织量、四肢瘦组织量呈负相关,有统计学意义。结论对身体成分的分析有助于预测骨折风险,分析社区居住老年人群身体成分指标的特点并调查相关因素,对骨折预防和治疗有着重大意义。

Relationship between body composition and fracture risk in community dwelling middle-aged and elderly people living in Hohhot

Objective The purpose of this study was to investigate the relationship between fracture risk and whole body composition. Methods We included 750 middle-aged men and women living in the community of Hohhot, including 183 males and 567 females, aged 40-90 years. Body composition and bone mineral density were measured using a dual-energy X-ray absorptiometry (DXA), and fracture risk was further analyzed by FRAX. Results The mean age was 66 years old, body mass index (BMI) was 25.7 in females and 28.2 in males; femoral neck bone mineral density was 0.62 g/cm2 in females and 0.63 g/cm2 in males. The risk of major fractures in the next 10 years was 5.9 % for females, and 3.0 % for males, and of hip fracture for the next 10 years was 2.2 % for females and 1.1 % for males. The percentage of body fat was 36.8 % in females and 36.4 % in males. The amount of lean tissue in males was higher than that in females, and the percentage of fat in males was lower than in fe-males. The risk of major fractures in females was related to age and the percentage of body fat, and negatively correlated with bone density of femoral neck, the amount of lean tissue, the amount of lean tissue in the extremities, and the lean tissue index. Hip fracture risk was positively correlated with age in female and male subjects, and was negatively correlated with femoral neck bone density, lean tissue mass, and lean tissue mass in the extremities, of statistical significance. Conclusion Assessment of body composition could improve fracture risk prediction. Analyzing body composition characteristics and studying relevant factors in community residents are of importance for osteoporosis prevention and treatment in the future.