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  4. Towards a Multidimensional Understanding of Mental Health in Childhood and early Adolescence: A Dual-Factor Model and Its Associations with School-Related Well-Being

Towards a Multidimensional Understanding of Mental Health in Childhood and early Adolescence: A Dual-Factor Model and Its Associations with School-Related Well-Being

Resource type
Conference Paper not in Proceedings
Status
Presented
Recommended form of citation (APA)
Kruse, F., & Nagel, A. (2025, March 22-26). Towards a Multidimensional Understanding of Mental Health in Childhood and early Adolescence: A Dual-Factor Model and Its Associations with School-Related Well-Being [Conference Paper]. CIES 2025. March 22-26, 2025, Chicago (USA).
Author(s)
Kruse, Felix  
Nagel, Arvid
PHSG Organisation name
Institut Bewegung, Sport und Gesundheit  
Project(s)
Digitaler Stress im Kindesalter  
License Condition
All rights reserved
Permalink
https://proforis.phsg.ch/handle/20.500.14111/6872
  • Details
Topic PHSG
Gesundheitsbildung
Subjects

Dual-factor model

Mental Health

Well-being

Childhood

Fields of Science and Technology (OECD)
Psychology (including human - machine relations)
Abstract
The conceptualization and measurement of subjective well-being (SWB) differs greatly (e.g. hedonic/eudaimonic/hybrid; unidimensional/multidimensional). Taking into account the fundamental dialectic, SWB can be understood not only as an expression of positive experiences, but also of the negative aspects of life (Ryff & Singer, 2003). As Delle Favre et al. (2011) suggest, it is not about a dichotomous polarization, but about the balance of two aspects in their entirety. Against this background, a dual-factor model of mental health (e.g. Suldo et al., 2016) appears to be a suitable approach for integrating both positive psychology and psychopathological constructs in one model. However, previous conceptualizations of dual-factor models have relied on unidimensional representations. Given that SWB and mental health are complex constructs with various sub-dimensions, such an approach presents certain limitations. For example, assuming that measurements are reflective may be problematic from a psychometric perspective (Marsh et al., 2020), and the lack of differentiation among dimensions is not ideal for exploring profiles of SWB. Compared to adults and adolescents, there is a particularly significant lack of evidence for this younger population. This study presents initial arguments for the validity of an multidimensional instrument assessing a dual factor model mental health in children and early adolescents, grounded in the criteria for general mental disorders as outlined in the ICD-10 and DSM-5. Furthermore, it examines the associations with school-related well-being to analyze how school variables potentially transfer to a broader life-related context. As part of a three-year longitudinal study started in February 2024, this contribution presents data from the first measurement point, involving a subsample of 906 students aged 10 to 14 years from the German-speaking part of Switzerland, who completed an online questionnaire. The measurement of the dual-factor model of mental health is based on a newly developed instrument inspired by the WB-Pro instrument by Marsh et al. (2020) and the German validation of the DASS21-Y (Szabo & Lovibond, 2022). School well-being was assessed using the three dimensions 'Positive Emotions at School,’ ‘Social Connectedness at School,’ and ‘Academic Self-Concept’ by Bürger et al. (2023). Data analysis was conducted using Mplus with MLR estimation and FIML for missing values. First, the factorial structure of the different models was examined via ICM-CFA, ESEM, and B-ESEM, all of which showed good model fit (e.g., SWB-ICM-CFA: χ² = 1894.55; df = 1055; RMSEA = .03; CFI = .95; TLI = .94; SRMR = 0.04). The ESEM and B-ESEM indicated construct-relevant psychometric multidimensionality. Following the procedure of Smith et al. (2020), four profiles of mental health were distinguished: Complete mental health (high SWB, low DASS21; 61.7%), Vulnerable (low SWB, low DASS21; 12.5%), Symptomatic But Content (High SWB, high DASS21; 11,9%) and Troubled (low SWB, high DASS21; 13,9%). Using ANOVA, the differences in the dimensions of school-related well-being between the groups were found to be statistically significant (p < 0.001). The Eta values (e.g., η = 0.407 for positive Emotions in school) indicated a strong correlation between group membership and the dimensions of school-related well-being.
Name of the eventConference HostPlace of the eventStart date of the eventEnd date of the event
CIES
Comparative and International Education Society
Chicago
March 22, 2025
March 26, 2025
PHSG Organisation name
Institut Bewegung, Sport und Gesundheit  
Project(s)
Digitaler Stress im Kindesalter  
Access Rights
metadata only (bibliographisch)
License Condition
All rights reserved
Rights Holder
Author(s)

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