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

Autor/inn/en	Musci, Rashelle J.; Kush, Joseph M.; Masyn, Katherine E.; Esmaeili, Masoumeh Amin; Susukida, Ryoko; Goulter, Natalie; McMahon, Robert; Eddy, J. Mark; Ialongo, Nicholas S.; Tolan, Patrick; Godwin, Jennifer; Bierman, Karen L.; Bierman, Karen L.; Coie, John D.; Crowley, D. Max; Dodge, Kenneth A.; Greenberg, Mark T.; Lochman, John E.; McMahon, Robert J.; Pinderhughes, Ellen E.; Wilcox, Holly C.
Titel	Psychosis Symptom Trajectories across Childhood and Adolescence in Three Longitudinal Studies: An Integrative Data Analysis with Mixture Modeling
Quelle	In: Prevention Science, 24 (2023) 8, S.1636-1647 (12 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Musci, Rashelle J.)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1389-4986
DOI	10.1007/s11121-023-01581-7
Schlagwörter	Psychosis; Symptoms (Individual Disorders); Children; Adolescents; Longitudinal Studies; Randomized Controlled Trials; Followup Studies; Probability; Gender Differences; Aggression; Behavior Problems; Data Analysis + Suchen Sie Ihr Suchwort? Psychose; Psychiatrische Symptomatik; Child; Kind; Kinder; Adolescent; Adolescence; Adoleszenz; Jugend; Jugendalter; Jugendlicher; Longitudinal study; Longitudinal method; Longitudinal methods; Längsschnittuntersuchung; Follow-up studies; Kontaktstudium; Wahrscheinlichkeitsrechnung; Wahrscheinlichkeitstheorie; Geschlechterkonflikt; Auswertung
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. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01