在社区生活的老年人中,脆弱性预测的性别差异:机器学习方法
Alejandra-Ximena Araya1,2, Evelyn Iriarte2,3, María Beatriz Fernández-Lorca2,4
1Universidad Andres Bello, Santiago, Chile.
Clinical nursing research
|February 20, 2026
概括
确定老年人身体虚弱的预测因素揭示了性别特异性差异. 虽然健康状况是两者的关键,但男性从体育活动中受益,女性从休活动中受益,为有针对性的干预提供了信息.
科学领域:
- 老年学是一门学科.
- 公共卫生 公共卫生
- 生物医学科学 生物医学科学
背景情况:
- 老年人的虚弱是严重的公共卫生问题.
- 识别特定于性别的脆弱性预测因素对于有针对性的干预措施至关重要.
- 目前的研究缺乏对脆弱预测因子的性别差异的全面理解.
研究的目的:
- 调查智利社区老年人身体虚弱的预测因子的性别差异.
- 确定导致60岁及以上男性和女性身体虚弱的关键因素.
- 为制定适应性别的脆弱性预防战略提供信息.
主要方法:
- 来自全国残疾和依赖调查的9,123名老年人 (5,363名女性,3,760名男性) 的全国代表性样本的分析.
- 监督机器学习回归模型的应用,以确定身体虚弱的重要预测因素.
- 检查各种因素和身体虚弱之间的性别相关性.
主要成果:
- 健康状况的数量是男性和女性身体虚弱的主要预测因素.
- 对于男性来说,身体活动是第二个最重要的预测因素.
- 对于女性来说,从事休和娱乐活动与脆弱的相关性比男性更强.
- 年龄是男性和女性受试者的重要预测因素.
结论:
- 身体虚弱预测因素在老年人中表现出显著的性别差异.
- 健康状况是普遍的预测因素,但身体活动 (男性) 和休活动 (女性) 等生活方式因素发挥着不同的作用.
- 调查结果支持需要针对性别的策略来预防和管理智利老年人群的身体脆弱性.
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