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Background: Adolescence is a critical period for mental health and social exclusion, a key social determinant of mental health. Early intervention approaches are key to mitigating the impact of mental ill-health during adolescence, however social exclusion can create additional barriers to accessing care. Aim: We aimed to better understand help-seeking experiences of adolescents facing co-occurring social exclusion and mental ill-health, including sources of support, barriers and preferences for service provision. Method: Cross-sectional data were analysed, from the 2022 Mission Australia Youth Survey (N = 18,800). Adolescents aged 15 to 19 years were recruited from around Australia, through schools, community organisations and digital platforms. Indices of four domains of social exclusion (housing, finances, relational and education/employment) were created using existing Youth Survey variables, and supplemented with demographic characteristics, psychological distress and help-seeking behaviours (perceived need, mental health supports, barriers to access and preferences). Relationships between social exclusion domains, mental health concerns and help-seeking behaviours were explored using logistic regression models. Results: A total of 9,743 young people reported having needed mental health support, yet only 58.1% reportedly sought support (n = 5,565). Social exclusion domains were associated with different help-seeking behaviours: housing challenges with higher help-seeking (OR = 1.28; 95% CI [1.15, 1.42]); relational difficulties and edu-employment issues with lower (OR = 0.75; 95% CI [0.68, 0.83] and OR = 0.82; 95% CI [0.75, 0.89]). Stigma, confidentiality concerns, cost and not knowing where to seek help were common barriers to help-seeking; those experiencing social exclusion more likely to report these. Participants reported a strong preference for face-to-face support. Conclusions: This study highlights the additional needs and challenges faced by adolescents dealing with both social exclusion and mental ill-health. With greater barriers to help-seeking, concerted efforts are needed to reduce stigma, improve mental health literacy and increase access to trusted information sources. Further initiatives should focus on structural factors that socially exclude young people and exacerbate inequitable access to mental healthcare. [ABSTRACT FROM AUTHOR]

Aims: Young people with first-episode psychosis (FEP) or at ultra-high risk (UHR) of psychosis often have lower vocational engagement than their peers. This study examines the effect of treatment in early intervention for psychosis services in Australia on engagement in education and employment. Methods: This is a naturalistic sample of young people aged 12–25 with FEP (n = 1574) and UHR (n = 1515), accessing treatment in the headspace Early Psychosis (hEP) programme. Engagement in education and employment was assessed at baseline and every 90 days in treatment. Mixed effects logistic regression were used to analyse changes over time. Results: On entering the hEP programme, approximately 49% of the young people with FEP and 28% of the young people at UHR status identified as Not in Education, Employment or Training (NEET). The odds of being NEET were reduced by 27% (95% confidence interval = [14, 39]) for every 6 months treatment for the FEP group, but no change in NEET status was observed in the UHR group. In both groups, absence from daily activities was significantly reduced during time in treatment. Conclusion: While there are methodological challenges analysing real-world non-control group cohort data, the findings indicate positive effects of the hEP programme on vocational and daily activity engagement for young people with FEP and at UHR status. A large proportion of the young people still identified as NEET after receiving treatment services, suggesting further refinement to ensure targeted and consistent vocational support throughout care. [ABSTRACT FROM AUTHOR]

Objectives: Early maladaptive schemas represent unhelpful frameworks of cognitions, emotions and subsequent behavioural responses and can be associated with depressive symptoms. Caregivers of individuals with serious mental illness (SMI) frequently report experiencing depressive symptoms. It is unclear whether depressive symptoms in caregivers are influenced by schemas. We aimed to compare activated schemas in caregivers of people with schizophrenia spectrum (SSD) and bipolar disorder (BD) diagnoses and to determine whether they were differentially related to depressive symptoms. Design and Methods: Caregivers completed validated measures of depression and schemas. Independent samples t‐tests and multivariate generalised linear models were used to assess differences in schemas and depressive symptoms between caregiver groups. Interrelationships between schema domains and caregiver depressive symptoms were delineated using correlational analyses and forward stepwise regressions. Results: One hundred eight caregivers participated in the study (SSD n = 68, BD n = 40). No differences in depressive symptom severity or activated schemas were observed between caregiver groups. All schemas were significantly associated with depressive symptoms, and the Disconnection‐Rejection schema domain explained the most variance in depressive symptoms in both caregiver groups. Conclusions: Schemas contribute to the severity of caregiver depression regardless of whether the person receiving care is diagnosed with SSD or BD. Schema therapeutic frameworks may be beneficial for use with caregivers to address schemas within the Disconnection‐Rejection domain and alleviate depressive symptoms by reducing experiences of social isolation and alienation. [ABSTRACT FROM AUTHOR]

The authors aimed to evaluate changes in use of government-subsidized primary mental health services, through the Medicare Benefits Schedule (MBS), by young people during the first year of the COVID-19 pandemic in Australia and whether changes were associated with age, sex, socioeconomic status, and residence in particular geographical areas. Interrupted time-series analyses were conducted by using quarterly mental health MBS service data (all young people ages 12–25 years, 2015–2020) for individual Statistical Area Level 3 areas across Australia. The data captured >22.4 million service records. Meta-analysis and meta-regression models estimated the pandemic interruption effect at the national level and delineated factors influencing these estimates. Compared with expected prepandemic trends, a 6.2% (95% CI=5.3%–7.2%) increase was noted for all young people in use of MBS mental health services in 2020. Substantial differences were found between age and sex subgroups, with a higher increase among females and young people ages 18–25. A decreasing trend was observed for males ages 18–25 (3.5% reduction, 95% CI=2.5%–4.5%). The interruption effect was strongly associated with socioeconomic status. Service uptake increased in areas of high socioeconomic status, with smaller or limited uptake in areas of low socioeconomic status. During 2020, young people's use of primary mental health services increased overall. However, increases were inequitably distributed and relatively low, compared with increases in population-level mental health burden. Policy makers should address barriers to primary care access for young people, particularly for young males and those from socioeconomically disadvantaged backgrounds. [ABSTRACT FROM AUTHOR]

Objective: The objective of this study was to characterise the prevalence and/or severity of psychological distress (namely, depression and anxiety symptoms) in siblings of people with mental illness (MI) and to examine correlates of distress in siblings of people with MI. Method: Studies comparing distress in individuals with and without a sibling with MI were eligible. Studies reporting on correlates of distress in siblings were also eligible. A search of MEDLINE Complete, PsycINFO and Embase was conducted up until 17 March 2022. Results: Fifteen studies comprising 2304 siblings and 2263 comparison individuals were included. Meta-analyses indicated individuals with a sibling with MI experience significantly greater depressive symptoms (Hedges's g = 0.53, 95% CI = [0.32, 0.73], siblings n = 1962, comparison individuals n = 2248) and anxiety symptoms (Hedges's g = 0.40, 95% CI = [0.19, 0.61], siblings n = 653, comparison individuals n = 533) than those without. The sibling relationship, siblings' locus of control, interpersonal functioning and their appraisal of the impacts of MI were identified as important and potentially modifiable correlates. Conclusion: Individuals with a sibling with MI experience greater depressive and anxiety symptoms than those without and would likely benefit from support. Future studies are required to elucidate the mechanisms underlying distress in siblings. [ABSTRACT FROM AUTHOR]

Introduction In Australian youth primary mental health settings it is unclear as to the rates and correlates of tobacco use at service entry. Aims and Methods We aimed to delineate the prevalence and correlates of recent tobacco use (eg, cigarettes, chewing tobacco, cigars, etc) in the past 3 months in young people at their first presentation to primary mental health services as a function of age. Cross-sectional self-report measures were collected using a tablet device from young people presenting to one of five Australian primary mental health (headspace) services. Logistic regression assessed correlates of past 3-month tobacco use in adolescents (12–17 years) and young adults (18–25 years). Results Regular (at least monthly) tobacco use in the past 3 months was found in 23.4% (n = 247, N = 1055) of the sample. Increasing age (odds ratio [OR] =1.47 per year; 95% confidence interval [CI]: 1.15 to 1.89), male sex (OR = 1.98; 95% CI: 1.02 to 3.83), being in a relationship (OR = 1.96; 95% CI: 1.01 to 3.82), and poorer functioning (OR = 0.95 per unit Social and Occupational Functioning Assessment Scale increase; 95% CI: 0.91 to 0.99) predicted regular tobacco use in adolescents, but not in young adults. Living in a regional location (OR = 2.10; 95% CI: 1.40 to 3.13) and not studying (OR = 0.47; 95% CI: 0.31 to 0.73) predicted tobacco use in young adults. Having a diagnosed mental illness other than depression and/or anxiety predicted tobacco use in both groups (adolescents OR = 2.49; 95% CI: 1.26 to 4.94; young adults OR = 1.80; 95% CI: 1.13 to 2.89). Conclusions Nearly a quarter of young people with mental illness are using tobacco, supporting the need for early intervention approaches. Adapting treatment targets by age could improve the impact of interventions in adolescents versus young adults. Poor functioning and lack of engagement in education were associated with tobacco use in both age groups, respectively; however, more research is needed to determine the direction of these relationships. Implications Young people with mental illness have a high prevalence of recent tobacco use and this is evident when they first present to youth primary mental health services. Youth-oriented mental health settings may provide a unique window for tobacco use prevention and early intervention to reduce smoking in people with mental illness, a priority population. Age-specific targeted approaches might be needed in adolescents and young adults. [ABSTRACT FROM AUTHOR]

Objective: Caregivers of individuals with severe mental illness often experience significant negative experiences of care, which can be associated with higher levels of expressed emotion. Expressed emotion is potentially a modifiable target early in the course of illness, which might improve outcomes for caregivers and patients. However, expressed emotion and caregiver experiences in the early stages of disorders might be moderated by the type of severe mental illness. The aim was to determine whether experiences of the caregiver role and expressed emotion differ in caregivers of young people with first-episode psychosis versus young people with 'first-presentation' borderline personality disorder features. Method: Secondary analysis of baseline (pre-treatment) data from three clinical trials focused on improving caregiver outcomes for young people with first-episode psychosis and young people with borderline personality disorder features was conducted (ACTRN12616000968471, ACTRN12616000304437, ACTRN12618000616279). Caregivers completed self-report measures of experiences of the caregiver role and expressed emotion. Multivariate generalised linear models and moderation analyses were used to determine group differences. Results: Data were available for 265 caregivers. Higher levels of negative experiences and expressed emotion, and stronger correlations between negative experiences and expressed emotion domains, were found in caregivers of young people with borderline personality disorder than first-episode psychosis. Caregiver group (borderline personality disorder, first-episode psychosis) moderated the relationship between expressed emotion and caregiver experiences in the domains of need to provide backup and positive personal experiences. Conclusion: Caregivers of young people with borderline personality disorder experience higher levels of negative experiences related to their role and expressed emotion compared with caregivers of young people with first-episode psychosis. The mechanisms underpinning associations between caregiver experiences and expressed emotion differ between these two caregiver groups, indicating that different supports are needed. For borderline personality disorder caregivers, emotional over-involvement is associated with both negative and positive experiences, so a more detailed understanding of the nature of emotional over-involvement for each relationship is required to guide action. [ABSTRACT FROM AUTHOR]

Objective: There is a lack of existing research regarding young people with bipolar I disorder (BD‐I) and psychotic features, who are not in education, employment, and training (NEET). Thus, the aims of the study were to: (a) establish rates of NEET at service entry to a specialist early intervention service; (b) delineate premorbid and current variables associated with NEET status at service entry and (c) examine correlates of NEET status at discharge. Method: Medical file audit methodology was utilized to collect information on 118 patients with first episode psychotic mania treated at the Early Psychosis Prevention and Intervention Centre (EPPIC), Melbourne, Australia. NEET status was determined using the modified vocation status index (MVCI). Bivariate and multivariable logistic variables were used to examine relationships between premorbid, service entry and treatment variables, and NEET status at service entry and discharge. Results: The NEET rate was 33.9% at service entry, and 39.2% at discharge. Variables associated with NEET status at service entry were premorbid functioning and polysubstance use. NEET status at service entry was the only significant correlate of NEET status at discharge. When service entry NEET was taken out of the model, substance use during treatment was predictive of NEET status at discharge. Conclusions: NEET status at service entry was related to a history of premorbid decline, and risk factors such as substance use and forensic issues. NEET status can decline during treatment, and utility of vocational intervention programs specifically for BD, in addition to specialist early intervention, needs to be examined. [ABSTRACT FROM AUTHOR]