A nem öngyilkossági szándékkal történő önsértés összefüggései a személyiségvonásokkal,
a szelf-re...(PD 128332) Támogató: NKFIH
Abstract
Background: The Adolescent Mental Health Continuum Short Form (MHC-SF) is a psychometrically
valid tool to evaluate the domains of subjective well-being, but there is a lack of
investigations which could distinguish subgroups with distinct subjective well-being
profiles based on this measurement. Therefore, after testing the competing measurement
models of the MHC-SF, our main aim was to identify subjective well-being profiles
in a large adolescent sample.
Methods: On a representative Hungarian adolescent sample (N=1572; 51% girl; mean age
was 15.39, SD=2.26) confirmatory factor analyses (CFA) and exploratory structural
equation modeling (ESEM) were used to test the factor stucture of the Adolescents
MHC-SF. In addition, gender invariance of the best fitting model was also tested.
Latent Profile Analyses (LPA) were conducted to reveal distinct subgroups and these
profiles were then compared.
Results: Results support the bifactor model of MHC-SF: the general and specific well-being
factors which were invariant across gender. LPA yielded four subgroups, three of them
have been theoretically hypothesized in previous works (i.e. flourishing, moderate
mental health, languishing), but an emotionally vulnerable subgroup also emerged.
Compared to the languishing group, this new subgroup demonstrated higher scores on
prosocial behaviour, but had comparable level of loneliness and internalizing symptoms.
Conclusions: Our results suggest that the MHC-SF is a reliable and valid instrument
for assessing overall well-being and its components. In addition, the identification
of young people to be at risk for low mental health may help us to tailor mental health
promotion programs to their special needs.
Keywords: Well-being, Positive Mental Health, Mental Health Continuum Model, Adolescents,
Confirmatory Factor Analysis, Exploratory Structural Equation Modeling, Gender Invariance,
Latent Profile Analyses
