从临床高风险个体转化为精神病的时间框架:量子回归
TianHong Zhang1, YanYan Wei1, XiaoChen Tang1
1Department of Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai 200030, PR China.
Schizophrenia bulletin
|July 26, 2024
概括
转化为精神病 (TCP) 的时间框架在临床高风险 (CHR) 个体之间存在显著差异. 功能性衰退,特别是无组织症状和GAF下降,与更短的转化时间有关,而一般症状预测转化时间更长.
科学领域:
- 精神病学是一个精神病学.
- 神经科学是一个神经科学.
- 临床心理学 临床心理学
背景情况:
- 从临床高风险 (CHR) 过渡到精神病的时间是可变的,未被充分研究.
- 了解转化为精神病 (TCP) 的时间框架对于早期干预至关重要.
研究的目的:
- 为了研究功能特征和转化为精神病 (TCP) 的时间框架之间的关系,在CHR.
- 识别不同TCP持续时间的临床和功能预测因素.
主要方法:
- 这是一项为期5年的随访研究,对145名被认定为CHR的人进行了随访.
- 评估临床和功能变量,包括在基线和GAF下降时的全球功能评估 (GAF) 得分.
- 根据转换时间将参与者分为短,中,长 TCP 组.
- 量子回归分析以检查变量与TCP之间的关联.
主要成果:
- 中位数的TCP是11个月.
- 在TCP组中观察到GAF下降,无组织症状和一般症状的显著差异.
- 较大的混乱症状和GAF下降与较短的TCP有关.
- 较大的一般症状预测了较长的TCP.
结论:
- 功能特征显著影响转化为精神病 (TCP) 的时间框架.
- 混乱的症状和功能衰退是较短TCP的关键指标.
- 早期预防策略必须考虑CHR个体的时间方面和功能状态.
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