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作 者:林华[1] 刘畅畅[1] 朱秀芬[1] 陈新[1] 黄淑纾[1]
机构地区:[1]南京大学医学院附属鼓楼医院骨病中心,南京210008
出 处:《中华骨质疏松和骨矿盐疾病杂志》2013年第2期108-113,共6页Chinese Journal Of Osteoporosis And Bone Mineral Research
基 金:江苏省政府科技课题科技支撑计划(社会发展)项目(BE2011605)
摘 要:目的探讨静态平衡功能对老年髋部骨折的影响。方法对2010年8月至2012年9月在南京市鼓楼医院骨病中心就诊体检、年龄>60岁的受试者进行8种静态体位平衡功能测定,收集受试者髋部骨折病史等临床资料进行回顾性分析。主要测试内容为8种静态体位下的稳定性指数、体重分布指数、姿势摆动频谱以及跌倒指数等。共纳入141名受试者,女性117名,男性24名;平均年龄(71.40±6.81)岁;按有无髋部骨折史分为髋部骨折组(A组65人),无髋部骨折组(B组76人),进行对比研究。结果 Logistic回归分析结果显示,睁眼自然站立体位的体重分布指数(OR=8.458,P=0.004)及闭眼头向前倾体位的0.35~0.50Hz频率强度(OR=6.883,P=0.009)与老年髋部骨折呈显著正相关性。结论睁眼自然站立体位的体重分布指数及闭眼头向前倾体位0.35~0.50Hz频率强度与老年髋部骨折相关,有可能成为老年髋部骨折的早期预估以及骨折后康复治疗的评价指标。Objective To study the influence of the static postural stability and hip fracture in elderly individuals. Methods We carried out a retrospective study comprising elderly individuals aged more than 60 years old from Aug 2010 to Sep 2012. Static stability of eight postures were assessed for each participant,and meanwhile,the information of previous hip fracture was obtained. The main test content includes static index,weight distribution index and postural sway spectrum of eight static postures and fall index. There were 141 participants,including 117 female and 24 male. The mean age of participants was 71. 12 ± 7. 08 years old. Participates were divided into two groups according to the history of previous hip fracture. There were 65 participants with hip fracture in group A and 76 participants without hip fracture in group B. Results The logistic regression analysis confirmed significantly positive correlation of weight distribution index in NO ( standing on a fixed metal platform with no pads,head straight with eye open) posture ( OR = 8. 458,P = 0. 004) and 0. 35 ~ 0. 50 Hz spectrum in HF ( keep eyes closed and standing on elastic pads,head forward down 30 degrees) posture ( OR = 6. 883,P = 0. 009) on hip fracture incidence. Conclusion Weight distribution index in NO posture and 0. 35 ~ 0. 50 Hz spectrum in HF posture are related to hip fracture in elderly individuals,maybe they will be early predictions for hip fracture in elderly individuals.
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