生命早期的情况是否预示着生命后期的自杀念头? 来自使用机器学习的SHARE数据的证据
Xu Zong1,2, Huaiyue Wang3
1Helsinki Institute for Demography and Population Health, Faculty of Social Sciences, University of Helsinki, Helsinki, Finland.
Frontiers in psychiatry
|November 29, 2024
概括
早期的生活环境,特别是社会联系和社会经济地位,可以预测老年人的自杀念头. 这项机器学习研究强调了童年经验对后期心理健康的重要性.
科学领域:
- 老年学是一门学科.
- 精神病学是一个精神病学.
- 机器学习在健康中的应用
背景情况:
- 生命晚期的自杀念头与生命早期的情况有关,但它们的预测能力需要进一步澄清.
- 现有的研究表明存在联系,但缺乏对特定早期生活因素的全面评估.
研究的目的:
- 采用机器学习方法来评估32个早期生活环境在六个领域对老年人自杀念头的预测重要性.
- 确定影响晚年自杀念头风险的关键早期生活因素.
主要方法:
- 利用了来自欧洲健康,衰老和退休调查 (SHARE) 的数据,这是一项跨国纵向调查.
- 应用了XGBoost机器学习模型来分析50岁以上成年人回忆起的早期生活环境 (SHARE第7波) 和报告的自杀念头 (SHARE第8波).
- 评估了32个情况,涵盖社会经济地位,健康,医疗保健和人际关系.
主要成果:
- XGBoost模型显示出强大的预测性能 (AUC=0.80,准确度=0.77).
- 晚年自杀念头的关键预测因素包括童年关系质量,社会经济地位,健康和医疗保健经验.
- 具体来说,在童年时有一个支持的同龄人群成为一个关键的影响因素.
结论:
- 早期的生活环境显示出适度但显著的预测能力,以后的生活自杀念头.
- 调查结果强调了针对童年经历的早期干预和预防策略的潜力,以减轻老年人的风险.
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