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A latent transition analysis of the longitudinal stability of dual-factor mental health in adolescence
Affiliation:1. Johns Hopkins Bloomberg School of Public Health, United States of America;2. University of California, Santa Barbara, United States of America;1. Zurich University of Teacher Education, Lagerstrasse 2, CH 8090 Zurich, Switzerland;2. University of Education Freiburg, Kunzenweg 21, D 79117 Freiburg, Germany;1. University of Missouri, 501 Clark Hall, Columbia, MO 65211, USA;2. University of Texas Medical Branch, 301 University Blvd, Galveston, TX 77555, USA;3. Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
Abstract:Dual-factor models of mental health are increasingly supported but little is known about longitudinal trends in dual-factor mental health. The current study used latent profile analysis (LPA) to empirically identify dual-factor mental health classes at each of Grades 9 through 12 and latent transition analysis (LTA) to examine stability of classes over four academic years. A sample of 875 adolescents from two cohorts reported on their social-emotional strengths and psychological distress. Cross-sectional LPAs for each grade year resulted in four mental health classes: complete mental health, moderately mentally healthy, symptomatic but content, and troubled. An LTA model indicated that the complete mental health class exhibited the most stability, followed by moderately mentally healthy and symptomatic but content classes. The troubled class exhibited the least stability. Less than 24% of participants remained in the same mental health class across all years. Findings support regular monitoring of students' dual-factor mental health to accurately inform mental health promotion, prevention, and intervention efforts.
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