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首页> 外文期刊>Journal of bone and mineral metabolism >Clinical factors as predictors of the risk of falls and subsequent bone fractures due to osteoporosis in postmenopausal women.
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Clinical factors as predictors of the risk of falls and subsequent bone fractures due to osteoporosis in postmenopausal women.

机译:临床因素可预测绝经后妇女因骨质疏松而跌倒和随后发生骨折的风险。

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摘要

In Japan, the "bedridden state" is one of the most serious problems the aged face, and it is becoming a social problem. The main causes of the bedridden state are cerebrovascular disorders and bone fractures following falls. The purpose of this study was to predict risk factors for falls and resultant bone fracture due to osteoporosis. We explored mobility parameters for possible fall prevention. In order to examine the correlation between the risk of falling and resultant bone fracture due to osteoporosis, logistic regression analysis was performed between bone mass (independent variable) and various factors dependent variables: body mass index [BMI], body fat percentage, atherogenic index, presence of transformation-related osteoarthritis of knee, presence of transformation-related osteoarthritis of spine, maximum step length, single-leg stance with open eyes, and hip-joint flexion motion angle); predictive factors were then examined. Predictive factors were determined by the stepwise method. Subjects who could not perform the "single-leg stance with open eyes" test had a risk of falling and bone fracture 2.49 times as large as that of subjects who could. The "single-leg stance with open eyes" test may be considered a useful method for the early detection of the risk of falling and bone fracture associated with osteoporosis. As a first step to identify factors predicting the occurrence of falls and bone fractures due to osteoporosis, we intended to discover an indicator that would help to detect incipient osteoporosis.
机译:在日本,“卧床不起的状态”是老年人面临的最严重的问题之一,并且正在成为社会问题。卧床状态的主要原因是脑血管疾病和跌倒后的骨折。这项研究的目的是预测由于骨质疏松而导致跌倒和由此导致的骨折的危险因素。我们探索了可能的预防跌倒的流动性参数。为了检查因骨质疏松而导致跌倒风险和导致的骨折之间的相关性,在骨量(自变量)与各种因素因变量之间进行了逻辑回归分析:体重指数[BMI],体脂百分比,动脉粥样硬化指数,是否存在与膝盖相关的转化相关性骨关节炎,是否存在脊柱相关的转化相关性骨关节炎,最大步长,睁大眼睛的单腿姿势以及髋关节屈曲运动角度);然后检查预测因素。预测因素通过逐步方法确定。不能进行“睁开双腿姿势”测试的受试者跌倒和骨折的风险是可以进行测试的受试者的2.49倍。 “睁开双腿的姿势”测试可以被认为是早期检测与骨质疏松症相关的跌倒和骨折风险的有用方法。作为确定预测因骨质疏松症而导致跌倒和骨折的因素的第一步,我们打算发现一种有助于检测初期骨质疏松症的指标。

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