Background: There is little systematic research on what adolescents are provided within specialised substance use treatment. This study explored trends in treatment received (number of outpatient treatment visits and inpatient treatment episodes) according to year and age at first contact among adolescents who were enrolled at Sweden’s largest treatment provider, the Maria Ungdom Clinic in Stockholm, between 2011 and 2021. Methods: The data were derived from electronic health records for all patients (n = 29 967) who were in contact with Maria Ungdom Stockholm between 2011 and 2021. Negative binomial regressions estimated the association between year cohort and age at first contact and number of outpatient visits respective number of inpatient episodes. We also tested whether trends according to year cohort and age at first contact were moderated by sex and treatment type. Results: Patients in earlier cohorts and those who were younger at first contact had more outpatient visits. A similar association with age at first contact was observed for inpatient treatment, but was less evident for year cohort. Differences in outpatient visits according to year cohort and age at first contact were mainly observed in patients enrolled in both outpatient and inpatient treatment, and the same held true for differences in number of inpatient episodes according to age at first contact. Regression models that adjusted for potential different exposure time found a higher treatment rate among later cohorts and patients who were older at first contact. Conclusion: Patients in the earlier year cohorts and who were at younger age at first contact with Maria Ungdom received most treatment. However, later cohorts and patients who were at an older age at first contact with Maria Ungdom had a higher treatment rate, suggesting that these groups were provided with a more intensive treatment.

Background This study aimed to examine the social gradient in self-reported alcohol-related harm (ARH) among young alcohol consumers by including a largely overlooked group of adolescents. We also explored the extent to which such a gradient could be attributed to differential exposure or differential vulnerability to risk factors.Method Cross-sectional survey of upper-secondary students (n=2996) in Sweden. Negative binomial regressions estimated the relationship between academic orientation (higher education preparatory; HEP, vocational; VP and introductory; IP) and ARH. To assess the contribution of explanatory factors, we estimated models that included risk factors such as heavy episodic drinking (HED).Results A graded association was observed between academic orientation and ARH, with more ARH among students in IP (IRR=1.79) and VP (IRR=1.43) than in HEP. Adjustments for risk factors attenuated the estimates by approximately half, but there was still 14% more ARH in VP and 50% more in IP than in HEP. The additive interaction test indicated a positive and significant interaction for students in VP who engaged in HED, versus students in HEP, who did not.Conclusion The findings suggest a negative gradient in the association between academic orientation and ARH, where the students in IP experienced the highest levels of ARH. While differential exposure and vulnerability to HED account for a significant proportion of the excess risk among VP students, HED seems to be less important relative to other risk factors among IP students. More research is needed to identify the mechanisms underlying the elevated levels of ARH among the most disadvantaged group—students enrolled in IP.

Aim: To examine the association between academic orientation and frequent cannabis use among Swedish adolescents in upper secondary school and include pupils from introductory programs (IPs), a large group of adolescents previously overlooked in research on adolescent cannabis use. Methods: We used cross-sectional data from two anonymous school surveys carried out in upper secondary school in 2021. The samples consisted of pupils from all academic orientations, and the analysis included 3151 pupils in higher education preparatory programs (HEPs), 1010 pupils in vocational programs (VPs), and 819 pupils in IPs. The association between the exposure academic orientation and the outcome frequent (21+ times) cannabis was analyzed using multi-level mixed-effects Poisson regression. Results: Estimates from the first model showed a significant (P < 0.05) 2.45 times higher risk of frequent cannabis use among pupils in IPs compared with in HEPs [incidence rate ratio (IRR) 2.45, 95% confidence interval (CI) 1.28–4.66] and 82% higher in VPs (IRR 1.82, 95% CI 1.09–3.04) compared with in HEPs. However, the associations between academic orientation and frequent (21+ times) cannabis use were attenuated and no longer significant when socioeconomic status, truancy, school dissatisfaction, and early onset of substance use were adjusted for. Conclusions: There was a higher risk of frequent (21+ times) cannabis use among pupils in IPs, and this differential was explained by higher exposure to risk factors in this group. This result is important from a policy perspective as it provides knowledge of a previously neglected risk group for frequent cannabis use.

PurposeTo examine if the prevalence of Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition alcohol use disorder (AUD) differs between two groups with different age of onset of alcohol use and if endorsement of different AUD criteria differs between the two groups.MethodsA two-wave longitudinal prospective cohort survey conducted in Sweden (2017–2019) with a nationwide sample of 3,999 adolescents aged 15/16 years at baseline (T1), and 17/18 years at follow-up (T2); 2,778 current drinkers at T2 were analysed. Participants were categorized into early onset of drinking (drinking already at T1 54.3%) or late onset (not drinking at T1 but at T2, 45.8%). AUD was measured with questions corresponding to the 11 Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition criteria for AUD. Potential confounding factors measured at T1 were sex, sensation-seeking, impulsivity, emotional symptoms, peer problems, conduct problems, and hyperactivity.ResultsThe early onset group had a higher prevalence of AUD at T2 compared to the late onset group (36.3% vs. 23.1%, p < .001). The higher risk of AUD remained significant in a linear probability model with control for additional confounding factors (β = 0.080, p < .001). All individual criteria were reported more in the early onset group, and there was no evidence of differential item functioning.DiscussionThe age of onset of alcohol use was a significant predictor of AUD in late adolescence among Swedish adolescents. Those with an earlier onset of alcohol use had a higher prevalence of AUD and of all individual criteria. The items in the scale were similarly predictive of AUD in both groups.