Adolescent mental health profiles through a latent dual-factor approach
Abstract
The dual-factor model of mental health emphasizes the integration of subjective well-being and psychopathology to obtain a complete conceptualization of mental health. When used in schoolwide screenings, this dual-factor approach provides a more comprehensive picture of students' mental health. In a sample of adolescents (N = 404) attending a Midwestern U.S. middle school (Grades 6-8), the current study empirically identified mental health groups through latent profile analysis (LPA) and examined how profile membership was predicted by various demographic variables, academic achievement, general grit, academic grit, and growth mindset. Three mental health profiles emerged: Complete Mental Health (above average life satisfaction and affect, below average internalizing and externalizing problems), Symptomatic but Content (average to above average life satisfaction and affect, above average internalizing and externalizing difficulties), and Troubled (below average life satisfaction and affect, above average internalizing and externalizing difficulties). These profiles partially supported the dual-factor model of mental health, although a vulnerable group was not identified. Gender, SES, racial identity, and IEP status were significant predictors of mental health profile membership. Academic achievement, general grit, academic grit, and growth mindset were also significant predictors of mental health group membership. Limitations, future directions, and implications are discussed, including how these findings inform school psychological theory and practice.