School of Education, Guangzhou University, Guangzhou, China; Vanke School of Public Health, Tsinghua University, Beijing, China.
Vanke School of Public Health, Tsinghua University, Beijing, China; Institute of Healthy China, Tsinghua University, Beijing, China.
J Affect Disord. 2025 Jan 15;369:95-102. doi: 10.1016/j.jad.2024.09.100. Epub 2024 Sep 19.
The previous cross-sectional and prospective studies have reported that psychopathology was associated with the occurrence of psychotic-like experiences (PLEs). However, few of these studies have examined this longitudinal association considering the different developmental trajectories of PLEs, as well as the growth or changes of psychopathology over time.
Four waves PLEs and psychopathology assessments from Adolescent Brain Cognitive Development (ABCD) study were used. The latent class growth modeling (LCGM) and latent growth curve modeling (LGCM) was used to assess latent PLEs class (group) and time-varying psychopathology, respectively. Lastly, the multinomial logistic regression model was used to examined the dynamic and developmental relationship between intercept/slope in psychopathology and different PLEs trajectories.
Three PLEs trajectory classes were confirmed: low decreasing PLEs (84.7 %), persistent PLEs (7.01 %) and high decreasing PLEs trajectories (8.29 %). We also found that the intercept of anxious/depressed problems and total problems scales and the slope of social problems were associated with the persistent PLEs trajectory compared with the low decreasing PLEs trajectories, indicating both the early onset and the growth of psychopathology over time are needed to be clinical attention.
The CBCL as the sole outcome measure for psychopathology and a widely acknowledged definition for PLEs is lacking. We lacked the mechanisms underlying the current results.
These longitudinal and dynamic results suggest that future intervention studies aimed at preventing the transition from persistent PLEs to psychotic disorders can focus on both the early onset and the growth of psychopathology over time.
先前的横断面和前瞻性研究报告称，精神病理学与类精神病体验（PLE）的发生有关。然而，这些研究很少考虑到 PLE 的不同发展轨迹，以及精神病理学随时间的增长或变化，来检验这种纵向关联。
使用青少年大脑认知发展（ABCD）研究的四个波次的 PLE 和精神病理学评估。潜类别增长模型（LCGM）和潜在增长曲线模型（LGCM）分别用于评估潜在的 PLE 类别（组）和时变的精神病理学。最后，使用多项逻辑回归模型来检验精神病理学截距/斜率与不同 PLE 轨迹之间的动态和发展关系。
确定了三种 PLE 轨迹类别：低递减 PLEs（84.7%）、持续 PLEs（7.01%）和高递减 PLEs 轨迹（8.29%）。我们还发现，焦虑/抑郁问题和总问题量表的截距以及社会问题的斜率与持续 PLEs 轨迹有关，与低递减 PLEs 轨迹相比，这表明精神病理学的早期发生和随时间的增长都需要引起临床关注。
CBCL 作为精神病理学的唯一结果测量指标，并且缺乏 PLE 的广泛认可定义。我们缺乏当前结果的潜在机制。
这些纵向和动态的结果表明，未来旨在预防从持续 PLE 到精神病障碍的过渡的干预研究可以同时关注精神病理学的早期发生和随时间的增长。
