Psychosis Symptom Trajectories Across Childhood and Adolescence in Three Longitudinal Studies: An Integrative Data Analysis with Mixture Modeling

Rashelle J. Musci, Joseph M. Kush, Katherine E. Masyn, Masoumeh Amin Esmaeili, Ryoko Susukida, Natalie Goulter, Robert J. McMahon, J. Mark Eddy, Nicholas S. Ialongo, Patrick Tolan, Jennifer Godwin, the Conduct Problems Prevention Research Group6, Holly C. Wilcox

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Psychotic-like experiences (PLEs) are common throughout childhood, and the presence of these experiences is a significant risk factor for poor mental health later in development. Given the association of PLEs with a broad number of mental health diagnoses, these experiences serve as an important malleable target for early preventive interventions. However, little is known about these experiences across childhood. While these experiences may be common, longitudinal measurement in non-clinical settings is not. Therefore, in order to explore longitudinal trajectories of PLEs in childhood, we harmonized three school-based randomized control trials with longitudinal follow-up to identify heterogeneity in trajectories of these experiences. In an integrative data analysis (IDA) using growth mixture modeling, we identified three latent trajectory classes. One trajectory class was characterized by persistent PLEs, one was characterized by high initial probabilities but improving across the analytic period, and one was characterized by no reports of PLEs. Compared to the class without PLEs, those in the improving class were more likely to be male and have higher levels of aggressive and disruptive behavior at baseline. In addition to the substantive impact this work has on PLE research, we also discuss the methodological innovation as it relates to IDA. This IDA demonstrates the complexity of pooling data across multiple studies to estimate longitudinal mixture models.

Original languageEnglish
Pages (from-to)1636-1647
Number of pages12
JournalPREVENTION SCIENCE
Volume24
Issue number8
DOIs
Publication statusPublished - Nov 2023
Externally publishedYes

Keywords

  • Integrative data analysis
  • Mixture modeling
  • Psychotic-like experiences

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