학술논문

Mental-health profiling with person-centred analysis: A study of adolescents in Sweden
Document Type
Source
Scandinavian Journal of Public Health. 51(4):628-635
Subject
mental health
psychological symptoms
psychosomatic symptoms
adolescents
cluster analysis
dual-factor model
Language
English
Abstract
Background:Studies that have examined time trends in adolescents’ mental health have frequently been based on analyses of adolescents’ psychosomatic symptoms. Adolescents’ reports of psychosomatic complaints need to be seen in the light of their overall evaluations of their health. The objectives of this study were to apply a person-centred approach to identifying adolescents’ mental-health profiles based on evaluations of their overall health and psychosomatic complaints. The relationships between these mental-health profiles and indicators of positive mental health and psychological and social-adjustment problems are examined.Methods:A dual-factor approach was used for nationally representative adolescent samples and examined adolescents’ self-rated psychosomatic complaints and perceived overall health simultaneously. Cluster analyses of data from the Swedish Health Behaviour in School-aged Children (HBSC) 2017/18 survey, including 3222 children aged 11, 13 and 15, were used to identify mental-health profiles.Results:Four mental-health profiles were identified by cluster analyses in all age groups. The profiles showed good construct validity in relation to mental well-being, life satisfaction and self-esteem. The poorest psychological adjustment was found among the adolescents with high levels of psychosomatic symptoms together with low levels of perceived overall health. Adolescents with high levels of psychosomatic symptoms only or with low levels of overall health only showed considerably better psychological adjustment.Conclusions:Cluster analyses identified distinct, valid and consistent mental-health profiles based on differing levels of perceived health and psychosomatic complaints. The dual-factor model in population health research may increase our potential to understand the mental health of adolescents better.