使用"CARE"脆弱性尺度对老年人进行跌倒风险查:NuAge队列结果
Olivier Beauchet1, Jacqueline Matskiv2, Pierrette Gaudreau3
1Department of Medicine, University of Montreal and Research Centre of the Geriatric University Institute of Montreal, Montreal, Quebec, Canada; Department of Medicine, Division of Geriatric Medicine, Sir Mortimer B. Davis Jewish General Hospital, Lady Davis Institute for Medical Research, McGill University, Montreal, Quebec, Canada.
Maturitas
|November 5, 2024
概括
该应用程序有效地识别了老年人有跌倒风险. 移动模块检测到的高跌倒风险和脆弱模块检测到的脆弱性都能预测事故和反复跌倒.
科学领域:
- 老年学是一门学科.
- 数字健康数字健康
- 公共卫生 公共卫生
背景情况:
- 凯尔 (电子健康) 应用程序评估老年人的脆弱性和跌倒风险.
- 这项研究调查的事件属于由CARE应用程序的脆弱性和移动性模块分类的个人.
研究的目的:
- 为了比较CARE应用程序分类为"脆弱"和"高跌倒风险"的老年人中意外跌倒 (≥1,≥2,严重) 的风险.
- 评估CARE应用程序对老年人群中跌倒风险查的有用性.
主要方法:
- 利用了1151名参与者 (平均年龄为74.2岁) 在北克营养和成功衰老 (NuAge) 纵向研究中的数据.
- 在基线使用CARE应用程序模块将参与者分为"脆弱状态" (结合脆弱前和脆弱) 和"高跌倒风险".
- 记录的事件每年在3年的随访期内发生一次.
主要成果:
- 无论是CARE脆弱状态 (OR ≥1.89),还是高跌倒风险 (OR ≥3.32),都与至少一次跌倒和反复跌倒 (≥2次跌倒) 有显著关联.
- 与脆弱状态相比,较高的跌倒风险与意外和反复跌倒的相关性更大.
- 脆弱状态与严重跌倒有显著的相关性 (OR = 3.08),而高跌倒风险则没有 (OR = 1.71).
结论:
- 无论是CARE的脆弱性和高跌倒风险评估都是老年人跌倒结果的重要预测因素.
- CARE应用程序的高跌幅风险评估与一般跌幅更为密切相关,而其脆弱性评估与严重跌幅更为密切相关.
- CARE应用程序显示出作为查工具的潜力,用于识别有跌倒风险的老年人.
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