Department of Psychiatry, University of California, Davis, United States of America.
Department of Computer Science, University of California, Davis, United States of America.
Schizophr Res. 2024 Oct;272:128-132. doi: 10.1016/j.schres.2024.08.022. Epub 2024 Sep 5.
Previous work suggests that cognitive and environmental risk factors may predict conversion to psychosis in individuals at clinical high risk (CHRs) for the disorder. Less clear, however, is whether these same factors are also associated with the initial emergence of the high risk state in individuals who do not meet current threshold criteria for being considered high risk.
Here, using data from the Adolescent Brain Cognitive Development (ABCD) study, we examined associations between factors previously demonstrated to predict conversion to psychosis in CHRs with transition to a "high risk" state, here defined as having a distress score between 2 and 5 on any unusual thought content question in the Prodromal Questionnaire-Brief Child version. Of a sample of 5237 children (ages 11-12) studied at baseline, 470 transitioned to the high-risk state the following year. A logistic regression model was evaluated using age, cognition, negative and traumatic experiences, decline in school performance, and family history of psychosis as predictors.
The overall model was significant (χ = 100.89, R = 0.042, p < .001). Significant predictors included number of negative life events, decline in school performance, number of trauma types, and verbal learning task performance.
These results suggest that factors that predict conversion in CHR teenagers are also associated with initial emergence of a "high-risk" state in preadolescents. Limitations regarding the degree to which model factors and outcome in this study parallel those used in previous work involving psychosis risk in older teenagers are discussed.
先前的研究表明,认知和环境风险因素可能预测处于临床高风险(CHR)状态的个体向精神病转化。然而,不太清楚的是,这些相同的因素是否也与不符合当前高风险标准的个体中高危状态的初始出现有关。
在这里,我们使用来自青少年大脑认知发展(ABCD)研究的数据,研究了先前在 CHR 中预测向精神病转化的因素与过渡到“高风险”状态之间的关联,这里将“高风险”状态定义为在 Prodromal Questionnaire-Brief Child 版本中任何异常思维内容问题上的得分在 2 到 5 之间。在基线研究的 5237 名儿童(年龄在 11-12 岁之间)中,有 470 名在次年过渡到高风险状态。使用年龄、认知、负面和创伤经历、学业成绩下降以及精神病家族史作为预测因素,评估了逻辑回归模型。
总体模型具有统计学意义(χ=100.89,R=0.042,p<.001)。显著的预测因素包括负面生活事件的数量、学业成绩下降、创伤类型的数量以及言语学习任务的表现。
这些结果表明,预测 CHR 青少年向精神病转化的因素也与青少年前体中“高风险”状态的初始出现有关。讨论了本研究中模型因素和结果与涉及年长青少年精神病风险的先前工作在多大程度上相似的局限性。