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Eur Child Adolesc Psychiatry ; 33(8): 2581-2591, 2024 Aug.
Article in English | MEDLINE | ID: mdl-38157010

ABSTRACT

Evidence of inequality in the utilisation of mental health care (MHC) by adolescents in Nordic countries is mixed. This study aims to investigate if there are socioeconomic differences in the utilisation of MHC, while accounting for adolescents' mental health status. We analysed a cohort of 3517 adolescents, followed from 7 to 9th grade (ages 13-16), to examine the association between parental socioeconomic position (SEP: education and disposable income), adolescents' estimated needs, and the utilisation of MHC (defined as visits to secondary psychiatric care or receipt of psychotropic medication). Logistic and negative binomial regression models, with mental health status as moderator, were used to predict utilisation during each grade. Lower SEP predicted higher odds of utilising MHC in adolescents with no/mild symptoms (e.g., odds ratio, OR = 1.33, 95% CI 1.04-1.72, lower vs highest education), but not in those with moderate-to-severe symptoms (estimates close to one and non-significant). This pattern was largely explained by treatment of attention deficit hyperactivity disorder/autism spectrum disorders (ADHD/ASD) in boys. For girls with severe symptoms, lower SEP predicted reduced odds of utilising MHC for other mental disorders (OR = 0.48, 95% CI 0.25-0.92, lower education), and fewer outpatient visits when in contact with such care, although non-significant (incidence rate ratio, IRR = 0.51, 95% CI 0.25-1.05, lowest vs highest income). Our findings suggest a more equitable use of MHC for treating ADHD/ASD, but not other mental disorders such as depression and anxiety, particularly among girls.


Subject(s)
Mental Disorders , Mental Health Services , Registries , Humans , Male , Adolescent , Female , Sweden/epidemiology , Longitudinal Studies , Mental Health Services/statistics & numerical data , Mental Disorders/epidemiology , Socioeconomic Factors , Health Services Needs and Demand/statistics & numerical data , Attention Deficit Disorder with Hyperactivity/epidemiology , Social Class , Healthcare Disparities/statistics & numerical data
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