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

Publication ,  Journal Article
Musci, RJ; Kush, JM; Masyn, KE; Esmaeili, MA; Susukida, R; Goulter, N; McMahon, R; Eddy, JM; Ialongo, NS; Tolan, P; Godwin, J; Wilcox, HC ...
Published in: Prevention science : the official journal of the Society for Prevention Research
November 2023

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.

Duke Scholars

Published In

Prevention science : the official journal of the Society for Prevention Research

DOI

EISSN

1573-6695

ISSN

1389-4986

Publication Date

November 2023

Volume

24

Issue

8

Start / End Page

1636 / 1647

Related Subject Headings

  • Substance Abuse
  • Risk Factors
  • Psychotic Disorders
  • Problem Behavior
  • Male
  • Longitudinal Studies
  • Humans
  • Female
  • Adolescent
  • 5203 Clinical and health psychology
 

Citation

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Musci, R. J., Kush, J. M., Masyn, K. E., Esmaeili, M. A., Susukida, R., Goulter, N., … Wilcox, H. C. (2023). Psychosis Symptom Trajectories Across Childhood and Adolescence in Three Longitudinal Studies: An Integrative Data Analysis with Mixture Modeling. Prevention Science : The Official Journal of the Society for Prevention Research, 24(8), 1636–1647. https://doi.org/10.1007/s11121-023-01581-7
Musci, Rashelle J., Joseph M. Kush, Katherine E. Masyn, Masoumeh Amin Esmaeili, Ryoko Susukida, Natalie Goulter, Robert McMahon, et al. “Psychosis Symptom Trajectories Across Childhood and Adolescence in Three Longitudinal Studies: An Integrative Data Analysis with Mixture Modeling.Prevention Science : The Official Journal of the Society for Prevention Research 24, no. 8 (November 2023): 1636–47. https://doi.org/10.1007/s11121-023-01581-7.
Musci RJ, Kush JM, Masyn KE, Esmaeili MA, Susukida R, Goulter N, et al. Psychosis Symptom Trajectories Across Childhood and Adolescence in Three Longitudinal Studies: An Integrative Data Analysis with Mixture Modeling. Prevention science : the official journal of the Society for Prevention Research. 2023 Nov;24(8):1636–47.
Musci, Rashelle J., et al. “Psychosis Symptom Trajectories Across Childhood and Adolescence in Three Longitudinal Studies: An Integrative Data Analysis with Mixture Modeling.Prevention Science : The Official Journal of the Society for Prevention Research, vol. 24, no. 8, Nov. 2023, pp. 1636–47. Epmc, doi:10.1007/s11121-023-01581-7.
Musci RJ, Kush JM, Masyn KE, Esmaeili MA, Susukida R, Goulter N, McMahon R, Eddy JM, Ialongo NS, Tolan P, Godwin J, Conduct Problems Prevention Research Group6, Wilcox HC. Psychosis Symptom Trajectories Across Childhood and Adolescence in Three Longitudinal Studies: An Integrative Data Analysis with Mixture Modeling. Prevention science : the official journal of the Society for Prevention Research. 2023 Nov;24(8):1636–1647.
Journal cover image

Published In

Prevention science : the official journal of the Society for Prevention Research

DOI

EISSN

1573-6695

ISSN

1389-4986

Publication Date

November 2023

Volume

24

Issue

8

Start / End Page

1636 / 1647

Related Subject Headings

  • Substance Abuse
  • Risk Factors
  • Psychotic Disorders
  • Problem Behavior
  • Male
  • Longitudinal Studies
  • Humans
  • Female
  • Adolescent
  • 5203 Clinical and health psychology