患有强迫症症状的青少年中精神病体验的预测因素:数据驱动的机器学习方法
Yutaka Sawai1, Riki Tanaka1, Rin Minami1
1Department of Neuropsychiatry Graduate School of Medicine, The University of Tokyo Tokyo Japan.
概括
在有强迫症 (OC) 症状的青少年中预测精神病至关重要. 在这个群体中,有限的社会互动和强大的家庭关系,而不是共享,预测了以后的精神病体验 (PE).
科学领域:
- 儿童和青少年精神病学
- 心理学 心理学 心理学
- 神经科学是一个神经科学.
背景情况:
- 由于有限的确定的风险因素,预测患有强迫症 (OC) 症状的青少年未来的精神病是具有挑战性的.
- 强迫症症状和精神病体验 (PE) 在青春期很常见,但在OC症状的青少年中,PE的预测因素仍未得到充分研究.
研究的目的:
- 在青少年出现强迫症 (OC) 症状时,确定随后精神病体验 (PE) 的预测因素.
- 利用数据驱动的机器学习方法,在青少年队伍中发现新的预测因素.
主要方法:
- 分析了东京青少年的纵向队列研究 (n=3171在10岁时).
- 一个在12岁时出现了OC症状的子组,不包括那些先前患有PEs的子组,被选择用于分析.
- 机器学习探索了600多个基线预测因子,以区分14岁后患有PE的青少年和没有患有PE的青少年.
主要成果:
- 预测模型取得了良好的性能 (测试AUC = 0.80 ± 0.05).
- 随后PEs的新型预测因素包括:与不同年龄组的互动有限,渴望效仿他们的父亲,以及在幼儿时代的非工作主要照顾者.
- 相反,不愿意与同龄人分享物品预测了PE的缺失.
结论:
- 紧密的家庭关系和家庭以外的有限的社交网络与OC症状的青少年患PE的风险增加有关.
- 这些发现突出了家庭动态,社会融合和风险青少年精神病经历的出现之间的相互作用.
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