In this cross-sectional study, we aimed to I) investigate the dual-factor model of mental health by forming and describing four participant groups and II) examine associations between mental health status and background factors, school-related factors, stress, and resilience among adolescents in a community population in Sweden. Data were collected through a survey completed by 2,208 students in lower and upper secondary school on the Swedish island of Gotland. After missing data were removed, a total of 1,833 participants were included in the study. The survey included the Mental Health Continuum Short Form (MHC-SF) for the assessment of mental well-being and the Strengths and Difficulties Questionnaire (SDQ) for the assessment of mental health problems. These two measures were combined into a dual-factor model, forming four mental health status subgroups: Vulnerable (47.5%), Complete mental health (36.2%), Troubled (13.9%), and Symptomatic but content (2.5%). Associations between these groups were explored regarding background factors, school-related factors, stress, and resilience through chi-squared tests and logistic regressions. Girls (OR: 1.88) and participants with high stress levels (OR: 2.23) had elevated odds for Vulnerable mental health status, whereas higher resilience (OR: 0.87) and subjective social status in school (OR: 0.76) were factors associated with reduced odds for this mental health status classification. Female gender (OR: 5.02) was also associated with Troubled mental health status. Similarly, a high level of stress (ORs: 4.08 and 11.36) was associated with Symptomatic but content and Troubled mental health status, and participants with higher levels of resilience had decreased odds for being classified into these groups (ORs: 0.88 and 0.81). The findings highlight the importance of interventions to increase resilience, reduce stress, and address stereotypic gender norms as well as social status hierarchies to support adolescents' mental health.
Copyright: © 2024 Hermann et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.