基于罗伊适应模型的老年人适应能力预测因素的识别,使用机器学习
Javier Gaviria Chavarro1, Miguel Ángel Gómez García2, Jose Manuel Alcaide Leyva3
1Doctoral Program in Applied Sciences, Faculty of Basic Sciences, Universidad Santiago de Cali, Cali 760011, Colombia.
Journal of clinical medicine
|March 14, 2026
概括
身体和精神健康,以及功能健康,是成功适应老年妇女的关键预测因素. 本研究确定了适应性分类在这个人口中的重要因素.
科学领域:
- 老年学是一门学科.
- 护理理论护理理论
- 健康心理学 心理健康心理学
背景情况:
- 罗伊适应模型强调了以后生活适应的身体,心理和社会因素.
- 有限的实证研究存在于预测模型整合这些领域的老年人.
- 这项研究解决了对老年妇女适应性的预测证据的需求.
研究的目的:
- 确定老年女性适应性分类的关键预测因素.
- 为了利用功能和主观的福祉措施进行预测建模.
- 探索身体和心理社会因素在适应过程中的相互作用.
主要方法:
- 在社区炼计划中,对老年女性进行了预测性研究设计.
- 数据采集使用高级健身测试 (SFT),SF-12和WHO-5问卷.
- 随机森林多类分类模型经过训练并使用强大的指标和可解释性技术进行评估.
主要成果:
- 随机森林模型实现了74%的准确性和0.73的宏观F1得分在过量采样下.
- 确定的关键预测因素包括SF-12的身体和精神组成部分以及2分钟的步骤和椅子坐着伸手测试.
- 模型强度分析显示了性能差异,特别是在"高"适应类.
结论:
- 身体和心理社会因素共同促进老年妇女的适应过程,支持罗伊适应模型.
- 探索性证据支持综合使用SFT,SF-12和WHO-5来评估适应.
- 在临床应用之前,建议进行进一步的外部验证和纵向研究.
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