使用基于调查的预测模型估计成年人孤独风险:一个队列研究
Marko Elovainio1, Jaakko Airaksinen2, Solja T Nyberg3
1Department of Psychology, Faculty of Medicine, University of Helsinki, Helsinki, Finland; Finnish Institute for Health and Welfare, Helsinki, Finland.
Journal of psychiatric research
|July 9, 2024
概括
预测成年人的孤独是一个挑战. 一项研究发现,虽然预测模型显示了一些准确性,但标准调查数据在识别未来孤独风险的个体方面存在局限性.
科学领域:
- 公共卫生 公共卫生
- 老年学是指老年学的学科.
- 心理学 心理学 心理学
背景情况:
- 孤独与不利的健康结果有关.
- 成年人孤独的预测因素需要进一步调查.
- 了解孤独风险因素对于公共卫生干预至关重要.
研究的目的:
- 开发和评估一个预测模型,以预测成人孤独的个体风险.
- 通过基于人口的数据,识别事件孤独的关键预测因素.
主要方法:
- 利用了前性金融卫生队列研究 (N=3444) 的数据.
- 在模型构建中使用了增强的LASSO回归 (bolasso) 启动链.
- 使用C指数评估预测性表现.
主要成果:
- 最终的模型包括11个预测因素,C指数从0.65到0.71.7不等.
- 取得了合理的C指数,但预测价值有限.
- 高检测率与高假阳性率相关,反之亦然.
结论:
- 使用标准调查数据的孤独个性化预测模型具有有限的预测价值.
- 预测成人孤独事件似乎很困难,目前的调查方法.
- 可能需要进一步的研究来确定更有效的预测因素或方法.
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