使用机器学习来识别英格兰老年人对衰老的自我认知预测因素
1Department of Psychology, Keimyung University, Daegu, South Korea.
Archives of gerontology and geriatrics
|June 5, 2025
概括
心理因素,如控制感和生活乐趣,是积极的自我认知衰老 (SPA) 的关键. 这些见解可以指导改善老年人福祉的干预措施.
科学领域:
- 老年学是指老年学的学科.
- 心理学 心理学 心理学
- 社会学 社会学 社会学
背景情况:
- 自我对衰老的看法 (SPA) 显著影响老年人的福祉和健康结果.
- 了解SPA的驱动因素对于开发有效干预措施至关重要.
研究的目的:
- 从广泛的人口,心理,社会和经济因素中确定积极SPA最重要的预测因素.
- 利用先进的机器学习技术来进行强大的预测器识别.
主要方法:
- 分析了来自50岁以上的7,000多名成年人老龄化英语纵向研究的数据.
- 应用随机森林和极端梯度增强 (XGBoost) 机器学习模型.
主要成果:
- 心理因素是积极SPA最强的预测因素,超过健康和人口统计学变量.
- 控制感,日常生活的乐趣和生活的意义是最重要的预测因素.
- 情绪健康,自主,自我实现和关系质量也在很大程度上预测了积极的SPA.
结论:
- 有能力,自主和相关性的感觉是积极的SPA的基础.
- 享乐和eudaimonic体验通过丰富衰老过程来增强SPA.
- 这些发现为有针对性的干预和理论模型改进在衰老研究中提供了途径.
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