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Background Perinatal markers of prenatal development are associated with offspring psychiatric symptoms. However, there is little research investigating the specificity of perinatal markers for the development of specific disorders. This study aimed to explore if perinatal markers are specifically associated with adolescent substance use disorder (SUDs). Methods Adolescent participants from two study centers, one for SUD patients (n = 196) and one for general psychopathology (n = 307), were recruited for participation. Since the SUD participants presented with a number of comorbid disorders, we performed a 1-on-1 matching procedure, based on age, gender, and specific pattern of comorbid disorders. This procedure resulted in n = 51 participants from each group. From all participants and their mothers we recorded perinatal markers (mode of birth, weeks of completed pregnancy, birth weight, Apgar score after 5 min) as well as intelligence quotient (IQ). The SUD sample additionally filled out the Youth Safe Report (YSR) as well as the PQ-16 and the DUDIT. We aimed to distinguish the two groups (SUD sample vs. general psychiatric sample) based on the perinatal variables via a logistic regression analysis. Additionally, linear regressions were performed for the total group and the subgroups to assess the relationship between perinatal variables and IQ, YSR, DUDIT and PQ-16. Results The perinatal variables were not able to predict group membership (X2 [4] = 4.77, p = .312, Cox & Snell R² = 0.053). Odds ratios indicated a small increase in probability to belonging to the general psychiatric sample instead of the SUD sample if birth was completed via C-section. After Bonferroni-correction, the linear regression models showed no relation between perinatal markers and IQ (p = .60, R² = 0.068), YSR (p = .09, R² = 0.121), DUDIT (p = .65, R² = 0.020), and PQ-16 (p = .73, R² =0.021).

Fragestellung: Nur wenige Kliniken für Kinder- und Jugendpsychiatrie (KJP) bieten eine ambulante Behandlung von Jugendlichen mit Substanzkonsumstörungen (SUDs) an. Daher fehlen Angaben, welche Konsummuster, SUDs und begleitenden psychischen Störungen diese Jugendlichen aufweisen. Methodik:N = 201 Patient_innen einer universitären Spezialambulanz (12–19 Jahre alt) wurden bezüglich Konsummustern, SUDs und aktuellen psychischen Störungen mittels Interview untersucht. Es wurden diesbezüglich deskriptive Darstellungen zu Prävalenzzahlen der SUDs, Konsummustern und begleitenden psychischen Störungen aufgeteilt nach Geschlecht und aktuellem Alter erstellt. Ergebnisse: Tabak (88 %) und Cannabis (86 %) waren die verbreitetsten Substanzen. Bei 67 % aller Patient_innen wurde mehr als eine SUD festgestellt. SUDs bezogen sich am häufigsten auf Cannabis (84 %), gefolgt von Tabak (77 %). 72 % aller Patient_innen zeigten eine die SUD begleitende psychische Störung, insbesondere Störungen des Sozialverhaltens (40 %), hyperkinetische Störungen (21 %) und depressive Störungen (18 %). Schlussfolgerungen: Ambulant behandelte jugendliche KJP-Patient_innen mit SUDs präsentieren sich häufig mit begleitenden psychischen Störungen. Angebotene Behandlungsprogramme sollten in der Behandlung von SUDs insbesondere Störungen des Sozialverhaltens, Depressionen und hyperkinetische Störungen berücksichtigen., Objective: Only few clinics offer the outpatient treatment of substance use disorders (SUDs) among adolescents. Therefore, only limited data describe substance use patterns, SUDs, and co-occurring psychiatric disorders characteristic of adolescents who present in such outpatient clinics specialized in the treatment of SUDs. Method: Via interview we collected data from n = 201 patients between 12 and 19 years concerning their substance use, SUDs, and current co-occurring psychiatric disorders. We created descriptive presentation of data regarding use patterns, SUDs, and co-occurring disorders divided by sex and current age. Results: Tobacco (88 %) and cannabis (86 %) were the most frequently used substances. 67 % of all patients presented with more than one SUD, cannabis use disorder being the most prevalent one (84 %). 72 % presented with at least one co-occurring disorder, with conduct disorders (40 %), attention deficit (hyperactivity) disorders (21 %), and depressive disorders (18 %) being the most frequent ones. Conclusions: Adolescent SUD patients often present with co-occurring psychiatric disorders. Institutions for adolescent SUD treatment should also focus on treating co-occurring conduct disorders, depression, and attention deficit disorders.

Objectives: Both substance use, on the one hand, and the first signs of psychosis, on the other, commonly begin in adolescence. Adolescents with substance use disorder (SUD) frequently show recreational use of cannabis and 3,4-methylenedioxymethamphetamine (MDMA). When attenuated psychotic symptoms (APS) occur during the course of SUD, they are commonly attributed to the cannabis use, neglecting the role of other substances abused, such as MDMA in the risk of psychosis. Methods: We analyzed retrospective self-reports on APS (Prodromal Questionnaire, PQ-16) and amount of cannabis and MDMA use in n = 46 adolescent psychiatry outpatients with SUD. N = 17 (35%) individuals reported MDMA consume additional to cannabis. Furthermore, we examined the associations of APS with cannabis and MDMA use in stepwise hierarchical regressions while controlling for trauma history, birth complications and gender. Results: APS were not related to cannabis (B = 0.04, p = 0.842), but to MDMA use (B = 4.88, p = 0.001) and trauma history (B = 0.72, p = 0.001). Gender (B = −0.22, p = 0.767) and birth complications (B = −0.68, p = 0.178) were not associated with APS. Discussion: Our results indicate that MDMA use additional to cannabis use is associated with APS among adolescent SUD patients. Contrary to our expectations, we did not see an association of cannabis use and APS. We speculate that cannabis increases the risk for psychosis after a longer period of use and in combination with other risk factors, such as trauma history. Clinicians should screen for APS among SUD patients using MDMA and cannabis in order to adapt treatment plans of SUDs. Future research should validate these findings in longitudinal studies including polysubstance use and trauma history.

Fragestellung: Mitarbeitende in kinder- und jugendpsychiatrischen (KJP) Einrichtungen stehen im Spannungsverhältnis zwischen der Durchsetzung von Rauchverboten für Patient_innen und dem eigenen Rauchverhalten. Bisher fehlen Daten, ob und wo Mitarbeitende rauchen und welche Entwöhnungsangebote KJP-Einrichtungen ihnen anbieten. Methodik: In einer Onlinestudie beantworteten n = 78 leitende Mitarbeitende deutscher KJP-Einrichtungen (41.9 % aller Angeschriebenen) Fragen zu stationsübergreifenden sowie stationsspezifischen Nichtraucherschutzmaßnahmen sowie zu Tabakentwöhnungsmaßnahmen. Ergebnisse: Umfassende Rauchverbote werden selten umgesetzt (< 20 % der Einrichtungen). Mitarbeitende dürfen vorrangig im Außengelände rauchen (z. B. in Raucherzonen: 69 bis 78 % je nach Stationstyp). Entwöhnungsangebote für Mitarbeitende bietet nur jede zweite KJP an (47 %). Schlussfolgerungen: Die Daten weisen auf zukünftige Handlungsfelder der Tabakkontrolle in der KJP-Pflege hin: transparente Regeln, Weiterbildungen und Ausbau betrieblicher Entwöhnungsangebote., Objective: Whereas, on the one hand, employees in child and adolescent psychiatric institutions (CAP) have to enforce smoking bans among patients, on the other hand, they have a high likelihood of being smokers themselves. Little data are available on the enforcement of smoking regulations and what cessation support is offered by CAP institutions. Method: In an online survey, n = 78 senior staff members or directors of German CAP institutions (41.9 % of all addressed CAP institutions) responded to questions on smoking regulations, exceptions, and cessation support for employees. Results: The enforcement of comprehensive smoking bans is rarely reported (<20 % of CAP institutions). Employees are exempted or allowed to smoke mostly outside of the building (e. g., in designated smoking areas: 69-78 % depending on ward type). Cessation support was offered by less than half of the CAP institutions (47%). Conclusions: The data presented point toward future areas for tobacco control in CAP care, including transparent regulations, staff training, and dissemination of support for occupational smoking cessation.

Pavlovian cues can influence ongoing instrumental behaviour via Pavlovian-toinstrumental transfer (PIT) processes. While appetitive Pavlovian cues tend to promote instrumental approach, they are detrimental when avoidance behaviour is required, and vice versa for aversive cues. We recently reported that susceptibility to interference between Pavlovian and instrumental control assessed via a PIT task was associated with risky alcohol use at age 18. We now investigated whether such susceptibility also predicts drinking trajectories until age 24, based on AUDIT (Alcohol Use Disorders Identification Test) consumption and binge drinking (gramme alcohol/drinking occasion) scores. The interference PIT effect, assessed at ages 18 and 21 during fMRI, was characterized by increased error rates (ER) and enhanced neural responses in the ventral striatum (VS), the lateral and dorsomedial prefrontal cortices (dmPFC) during conflict, that is, when an instrumental approach was required in the presence of an aversive Pavlovian cue or vice versa. We found that a stronger VS response during conflict at age 18 was associated with a higher starting point of both drinking trajectories but predicted a decrease in binge drinking. At age 21, high ER and enhanced neural responses in the dmPFC were associated with increasing AUDIT-C scores over the next 3 years until age 24. Overall, susceptibility to interference between Pavlovian and instrumental control might be viewed as a predisposing mechanism towards hazardous alcohol use during young adulthood, and the identified high-risk group may profit from targeted interventions.

Background: Prejudices against minorities can be understood as habitually negative evaluations that are kept in spite of evidence to the contrary. Therefore, individuals with strong prejudices might be dominated by habitual or “automatic” reactions at the expense of more controlled reactions. Computational theories suggest individual differences in the balance between habitual/model-free and deliberative/model-based decision-making.Methods: 127 subjects performed the two Step task and completed the blatant and subtle prejudice scale.Results: By using analyses of choices and reaction times in combination with computational modeling, subjects with stronger blatant prejudices showed a shift away from model-based control. There was no association between these decision-making processes and subtle prejudices.Conclusion: These results support the idea that blatant prejudices toward minorities are related to a relative dominance of habitual decision-making. This finding has important implications for developing interventions that target to change prejudices across societies.