开发和验证用于预测脆弱和脆弱前的老年人中跌倒风险的诺米克图
Yueping Li1, Ke Tang1, Jin Yao1
1Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China; School of Nursing, Southern Medical University, Guangzhou, Guangdong, China.
概括
这项研究为老年人开发了一种跌倒风险预测模型. 关键的风险因素包括视力和平衡受损,有助于早期预防跌倒的策略.
科学领域:
- 老年学是一门学科.
- 公共卫生 公共卫生
- 临床医学 临床医学
背景情况:
- 脆弱和脆弱前的老年人有较高的跌倒风险.
- 有效的跌倒风险预测对这一群体至关重要.
研究的目的:
- 开发和验证跌倒风险的预测模型.
- 确定与老年人跌倒相关的关键风险因素.
主要方法:
- 有372名参与者的前性研究设计.
- 多变量二进制逻辑回归分析.
- 诺莫格拉姆模型的开发和验证.
主要成果:
- 视力障碍,先前的跌倒,减少独立性和不良平衡被确定为危险因素.
- 使用行走辅助器作为一种保护因素出现.
- 在Nomogram模型中,曲线下的面积 (AUC) 为0.911.
结论:
- 开发的诺莫格拉姆模型在降落风险预测方面具有很高的准确性.
- 该模型是早期评估和干预的宝贵工具.
- 促进有针对性的预防策略,以减少脆弱和脆弱前的老年人的跌倒.
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