Social inclusion, intersectionality, and profiles of vulnerable groups of young people seeking mental health support.

BACKGROUND: headspace centres provide enhanced primary mental healthcare for young people. A priority is to provide services for all young people irrespective of a range of social disadvantages or social exclusion. The aims of this study were to: (i) delineate extent of social inclusion across domains of housing, studying/employment, functioning, alcohol, and other drug use; and (ii) map profiles of young people deemed vulnerable to experiencing additional barriers to accessing services based on their social inclusion domains (e.g., those living in unstable housing, not in employment/education, and/or experiencing intersecting or multiple forms of disadvantage or difficulties), including detailing their clinical characteristics. METHODS: Young people were recruited from five headspace centres. Data relevant to social inclusion were examined. Multivariate logistic regression models were used to determine overlap between vulnerable groups, functional, social, clinical, and behavioural factors. RESULTS: 1107 young people participated, aged 12-25 years (M = 18.1 years, SD = 3.3), most living in stable housing (96.5%) and engaged in studying/employment (84.8%). Specific vulnerabilities were evident in young people with NEET status (15.2%); in unstable accommodation (3.5%); of culturally diverse backgrounds (CALD) (12.2%); living in regional areas (36.1%); and identifying as lesbian, gay, bisexual, transgender, intersex, queer/questioning, and asexual plus (LGBTIQA+; 28.2%). Higher levels of distress, substance use, functional impairment, and lower social support were reported by those who were NEET and/or in unstable housing. LGBTIQA+ status was associated with high distress, depressive symptoms, and suicidal ideation. CONCLUSIONS: Most participants reported good social support, stable housing, and engagement in work or education. Those deemed vulnerable were likely to experience social exclusion across multiple domains and reported more mental health problems. The co-occurrence of mental ill-health and social exclusion highlights the importance of integrated mental healthcare.

Treating depression with physical activity in adolescents and young adults: a systematic review and meta-analysis of randomised controlled trials.

We aimed to establish the treatment effect of physical activity for depression in young people through meta-analysis. Four databases were searched to September 2016 for randomised controlled trials of physical activity interventions for adolescents and young adults, 12-25 years, experiencing a diagnosis or threshold symptoms of depression. Random-effects meta-analysis was used to estimate the standardised mean difference (SMD) between physical activity and control conditions. Subgroup analysis and meta-regression investigated potential treatment effect modifiers. Acceptability was estimated using dropout. Trials were assessed against risk of bias domains and overall quality of evidence was assessed using GRADE criteria. Seventeen trials were eligible and 16 provided data from 771 participants showing a large effect of physical activity on depression symptoms compared to controls (SMD = -0.82, 95% CI = -1.02 to -0.61, p < 0.05, I2 = 38%). The effect remained robust in trials with clinical samples (k = 5, SMD = -0.72, 95% CI = -1.15 to -0.30), and in trials using attention/activity placebo controls (k = 7, SMD = -0.82, 95% CI = -1.05 to -0.59). Dropout was 11% across physical activity arms and equivalent in controls (k = 12, RD = -0.01, 95% CI = -0.04 to 0.03, p = 0.70). However, the quality of RCT-level evidence contributing to the primary analysis was downgraded two levels to LOW (trial-level risk of bias, suspected publication bias), suggesting uncertainty in the size of effect and caution in its interpretation. While physical activity appears to be a promising and acceptable intervention for adolescents and young adults experiencing depression, robust clinical effectiveness trials that minimise risk of bias are required to increase confidence in the current finding. The specific intervention characteristics required to improve depression remain unclear, however best candidates given current evidence may include, but are not limited to, supervised, aerobic-based activity of moderate-to-vigorous intensity, engaged in multiple times per week over eight or more weeks. Further research is needed. (Registration: PROSPERO-CRD 42015024388).

Quality of information sources about mental disorders: a comparison of Wikipedia with centrally controlled web and printed sources.

BACKGROUND: Although mental health information on the internet is often of poor quality, relatively little is known about the quality of websites, such as Wikipedia, that involve participatory information sharing. The aim of this paper was to explore the quality of user-contributed mental health-related information on Wikipedia and compare this with centrally controlled information sources. METHOD: Content on 10 mental health-related topics was extracted from 14 frequently accessed websites (including Wikipedia) providing information about depression and schizophrenia, Encyclopaedia Britannica, and a psychiatry textbook. The content was rated by experts according to the following criteria: accuracy, up-to-dateness, breadth of coverage, referencing and readability. RESULTS: Ratings varied significantly between resources according to topic. Across all topics, Wikipedia was the most highly rated in all domains except readability. CONCLUSIONS: The quality of information on depression and schizophrenia on Wikipedia is generally as good as, or better than, that provided by centrally controlled websites, Encyclopaedia Britannica and a psychiatry textbook.

Early identification and intervention in depressive disorders: towards a clinical staging model.

BACKGROUND: Depressive disorders are common and associated risks include the onset of secondary disorders, substance use disorders, impairment in social and occupational functioning, and an increase in suicidality. As the onset often occurs in youth, there is a clear imperative for early identification and intervention to ameliorate, if not prevent, associated distress. METHODS: An extensive search of relevant databases and an ancestry search was undertaken. RESULTS: There is a limited but growing body of literature on this topic that is discussed in relation to a clinical staging model, which may prove to be a useful framework for identifying where an individual lies along the continuum of the course of a depressive illness thus allowing interventions to be matched for that stage. The identification of a subsyndromal and prodromal stage of depressive disorders provides early intervention opportunities. CONCLUSIONS: It is argued that a clinical staging heuristic may increase the number of those treated early, which may in turn delay or prevent onset, reduce severity, or prevent progression in the course of depressive disorders.

The prevention of schizophrenia.

Preventive strategies can be divided into universal, selective and indicated prevention and early intervention. Universal interventions are directed to the general population. Selective approaches are targeted at people who have risk factors for an illness, but who do not show any current signs. Indicated approaches target high risk individuals with minimal signs or symptoms foreshadowing mental disorder, but who do not meet diagnostic levels at the current time. Early intervention involves treating those with already diagnosable disorder in a timely and optimal manner aiming to decrease the severity of the illness, and reduce secondary morbidity. Although universal and selective interventions are not yet viable strategies, indicated prevention and early intervention are now realistic possibilities in schizophrenia. Development of methods to identify those at risk of psychosis continues to evolve. Promising results in the prevention and delay of transition to psychotic disorder from high risk state have been found. Early intervention in schizophrenia, including promotion of early help-seeking, has been shown to reduce the duration of untreated psychosis, which is known to be associated with poor outcome in schizophrenia. Early intervention programmes which optimise the care of the first episode have been shown to produce better outcomes than routine management.

Risk factors for relapse following treatment for first episode psychosis: a systematic review and meta-analysis of longitudinal studies.

BACKGROUND: Preventing relapse is an essential element of early intervention in psychosis, but relevant risk factors and precise relapse rates remain to be clarified. The aim of this study was to systematically compile and analyse risk factors for and rates of relapse in the early course of psychosis. METHODS: Systematic review and meta-analysis of English and non-English language, peer-reviewed, longitudinal studies, with a minimum 12-month follow-up and at least 80% of participants diagnosed with a first episode of psychosis (FEP) that reported risk factors for relapse. RESULTS: Of 153 potentially relevant articles, 29 were included in the study. Pooled prevalence of relapse of positive symptoms was 28% (range=12-47%), 43% (35-54%), 54% (40-63%) at 1, 1.5-2, and 3 years follow-up, in that order. A total of 109 predictors were analysed, with 24 being assessed in at least 3 studies. Of those, 20 predictors could be extracted for meta-analysis. Medication non-adherence, persistent substance use disorder, carers' critical comments (but not overall expressed emotion) and poorer premorbid adjustment, increased the risk for relapse 4-fold, 3-fold, 2.3-fold and 2.2-fold, respectively. CONCLUSIONS: Clinical variables and general demographic variables have little impact on relapse rates. Conversely, non-adherence with medication, persistent substance use disorder, carers' criticism and poorer premorbid adjustment significantly increase the risk for relapse in FEP. Future studies need to address the methodological limitations of the extant research (e.g. definition of relapse), focus on the identification of protective factors and evaluate theoretically derived models of relapse.