Australian & New Zealand Journal of Psychiatry

To assess whether there are shared or divergent (a) cognitive and (b) emotion processing characteristics among violent individuals with antisocial personality disorder and/or schizophrenia, diagnoses which are commonly encountered at the interface of mental disorder and violence. Cognition and emotion processing are incorporated into models of violence, and thus an understanding of these characteristics within and between disorder groups may help inform future models and therapeutic targets.

Relevant databases (OVID, Embase, PsycINFO) were searched to identify suitable literature. Meta-analyses comparing cognitive function in violent schizophrenia and antisocial personality disorder to healthy controls were conducted. Neuropsychological studies not comparing these groups to healthy controls, and emotion processing studies, were evaluated qualitatively.

Meta-analyses indicated lower IQ, memory and executive function in both violent schizophrenia and antisocial personality disorder groups compared to healthy controls. The degree of deficit was consistently larger in violent schizophrenia. Both antisocial personality disorder and violent schizophrenia groups had difficulties in aspects of facial affect recognition, although theory of mind results were less conclusive. Psychopathic traits related positively to experiential emotion deficits across the two disorders. Very few studies explored comorbid violent schizophrenia and antisocial personality disorder despite this being common in clinical practice.

There are qualitatively similar, but quantitatively different, neuropsychological and emotion processing deficits in violent individuals with schizophrenia and antisocial personality disorder which could be developed into transdiagnostic treatment targets for violent behaviour. Future research should aim to characterise specific subgroups of violent offenders, including those with comorbid diagnoses.

The aim of this project was to detail the costs associated with the high prevalence mental disorders (depression, anxiety-related and substance use) in Australia, using community-based, nationally representative survey data.

Respondents diagnosed, within the preceding 12 months, with high prevalence mental disorders using the Confidentialised Unit Record Files of the 2007 National Survey of Mental Health and Wellbeing were analysed. The use of healthcare resources (hospitalisations, consultations and medications), productivity loss, income tax loss and welfare benefits were estimated. Unit costs of healthcare services were obtained from the Independent Hospital Pricing Authority, Medicare and Pharmaceutical Benefits Scheme. Labour participation rates and unemployment rates were determined from the National Survey of Mental Health and Wellbeing. Daily wage rates adjusted by age and sex were obtained from Australian Bureau of Statistics and used to estimate productivity losses. Income tax loss was estimated based on the Australian Taxation Office rates. The average cost of commonly received Government welfare benefits adjusted by age was used to estimate welfare payments. All estimates were expressed in 2013–2014 AUD and presented from multiple perspectives including public sector, individuals, private insurers, health sector and societal.

The average annual treatment cost for people seeking treatment was AUD660 (public), AUD195 (individual), AUD1058 (private) and AUD845 from the health sector’s perspective. The total annual healthcare cost was estimated at AUD974m, consisting of AUD700m to the public sector, AUD168m to individuals, and AUD107m to the private sector. The total annual productivity loss attributed to the population with high prevalence mental disorders was estimated at AUD11.8b, coupled with the yearly income tax loss at AUD1.23b and welfare payments at AUD12.9b.

The population with high prevalence mental disorders not only incurs substantial cost to the Australian healthcare system but also large economic losses to society.

Few population-based studies have been used to investigate secular trends in psychotropic medication use. Therefore, the aim of this study was to examine psychotropic medication use over time using data from the Geelong Osteoporosis Study, an on-going, population-based, cohort study of Australian women.

Of the 1494 women recruited at Time 1 (1993–1997), self-reported medication use from Time 2 (2004–2008) and/or Time 3 (2011–2014) was available for 889 women. Prevalence of antidepressant/antipsychotic/anxiolytic/sedative/anticonvulsant use by age and cohort strata was calculated using bootstrapping methods. Simultaneous age-cohort patterns were evaluated using logistic regression techniques.

The prevalence of any psychotropic medication use increased from 8.0% (95% confidence interval = [6.3, 9.8]) at Time 1 to 26.0% (95% confidence interval = [22.4, 29.4]) at Time 3, translating to a 4.3-fold increase in the likelihood of psychotropic medication use over the study period (odds ratio = 4.3, 95% confidence interval = [3.2, 5.8], p < 0.001). This increase was driven by the use of antidepressants (odds ratio = 6.4, 95% confidence interval = [4.2, 9.5], p < 0.001) and anticonvulsants (odds ratio = 4.4, 95% confidence interval = [1.8, 11.1]) and modest increases in the use of anxiolytic agents (odds ratio = 1.9, 95% confidence interval = [1.1, 3.1]) and sedatives (odds ratio = 1.7, 95% confidence interval = [1.6, 1.9]). The prevalence of any psychotropic medication use increased with increasing age (40–59.9 years: odds ratio = 1.9, 95% confidence interval = [1.5, 2.6]; 60–79.9 years: odds ratio = 2.6, 95% confidence interval = [1.9, 3.5], compared to the 20- to 39.9-year group). Use of selective serotonin reuptake inhibitors increased dramatically over the study period (odds ratio = 15.3, 95% confidence interval = [7.0, 33.4]).

Use of psychotropic medication has increased substantially over the past two decades, especially among older women. Further investigations into the correlates and outcomes of the increased use of psychotropic medications are warranted.

Disruptive mood dysregulation disorder is a newly proposed childhood disorder included in Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition to describe children ⩽18 years of age with chronic irritability/temper outbursts. This study aimed to examine the prevalence of disruptive mood dysregulation disorder, severe mood dysregulation and chronic irritability in an Australian study of young people at increased familial risk of developing bipolar disorder (‘HR’ group) and controls (‘CON’ group).

A total of 242 12- to 30-year-old HR or CON subjects were administered the severe mood dysregulation module. Of these, 42 were aged ⩽18 years at the time of assessment, with 29 subjects in the HR group and 13 in the CON group.

No subjects ⩽18 years – in either group – fulfilled current or lifetime criteria for disruptive mood dysregulation disorder or severe mood dysregulation, the precursor to disruptive mood dysregulation disorder. Similarly, no subjects in either group endorsed the severe mood dysregulation/disruptive mood dysregulation disorder criteria for irritable mood or marked excessive reactivity. One HR participant endorsed three severe mood dysregulation criteria (distractibility, physical restlessness and intrusiveness), while none of the comparison subjects endorsed any criteria. Exploratory studies of the broader 12- to 30-year-old sample similarly found no subjects with severe mood dysregulation/disruptive mood dysregulation disorder in either the HR or CON group and no increased rates of chronic irritability, although significantly more HR subjects reported at least one severe mood dysregulation/disruptive mood dysregulation disorder criterion (likelihood ratio = 6.17; p = 0.013); most of the reported criteria were severe mood dysregulation ‘chronic hyper-arousal’ symptoms.

This study comprises one of the few non-US reports on the prevalence of disruptive mood dysregulation disorder and severe mood dysregulation and is the first non-US study of the prevalence of these conditions in a high-risk bipolar disorder sample. The failure to replicate the finding of higher rates of disruptive mood dysregulation disorder and chronic irritability in high-risk offspring suggests that these are not robust precursors of bipolar disorder.

The MindSpot Clinic provides online mental health services to Australian adults with anxiety and depression. This paper describes users of MindSpot between January 2013 and June 2015. Outcomes are considered against three key objectives: improving access to mental health services, improving public awareness of how to access services and providing evidence-based treatments.

Website traffic data were examined to determine patterns of use. Demographic characteristics, past service utilisation and reasons for contacting MindSpot were analysed. Outcomes for patients enrolled in a MindSpot treatment course were also analysed. Primary outcomes were scores on the 9-Item Patient Health Questionnaire, Generalised Anxiety Disorder 7-Item, Yale–Brown Obsessive Compulsive Scale and Post-Traumatic Stress Disorder Checklist–Civilian Version, administered at assessment, post-treatment and 3-month follow-up.

The website was visited by almost 500,000 Australians, of which 33,990 adults started assessments, and 25,469 people completed assessment and were eligible for analysis. Mean age was 36.4 years (standard deviation = 13.3 years; range = 18–94 years), and 72% were female. The proportion living in rural or remote regions and who identified as Aboriginal and Torres Strait Islander closely matched national statistics. The majority (82%) reported that they were not currently in contact with mental health services. Most patients sought an assessment, information about treatment options, or referral to another service, and only 24% of those completing an assessment commenced a MindSpot treatment course. Of these, large clinical effects (d: 0.7–2.4; average symptom reductions: 25.5% to 61.6%) were found from assessment to follow-up on all outcome measures. Deterioration ranged from 1.0% to 4.3%.

Based on the number of website visits, completed assessments and treatment outcomes, MindSpot achieved its three programme objectives. This model of service provision has considerable value as a complement to existing services, and is proving particularly important for improving access for people not using existing services.

We compare the prevalence of suicidal thoughts and attempts between Indigenous and non-Indigenous males in urban and regional Australia, and examine the extent to which any disparity between Indigenous and non-Indigenous males varies across age groups.

We used data from the baseline wave of The Australian Longitudinal Study on Male Health (Ten to Men), a large-scale cohort study of Australian males aged 10–55 years residing in urban and regional areas. Indigenous identification was determined through participants self-reporting as Aboriginal, Torres Strait Islander or both. The survey collected data on suicidal thoughts in the preceding 2 weeks and lifetime suicide attempts.

A total of 432 participants (2.7%) identified as Indigenous and 15,425 as non-Indigenous (97.3%). Indigenous males were twice as likely as non-Indigenous males to report recent suicidal thoughts (17.6% vs 9.4%; odds ratio = 2.1, p < 0.001) and more than three times as likely to report a suicide attempt in their lifetime (17.0% vs 5.1%; odds ratio = 3.6; p < 0.001). The prevalence of recent suicidal thoughts did not differ between Indigenous and non-Indigenous males in younger age groups, but a significant gap emerged among men aged 30–39 years and was largest among men aged 40–55 years. Similarly, the prevalence of lifetime suicide attempts did not differ between Indigenous and non-Indigenous males in the 14- to 17-years age group, but a disparity emerged in the 18- to 24-years age group and was even larger among males aged 25 years and older.

Our paper presents unique data on suicidal thoughts and attempts among a broad age range of Indigenous and non-Indigenous males. The disparity in the prevalence of suicidal thoughts increased across age groups, which is in contrast to the large disparity between the Indigenous and non-Indigenous suicide rates in younger age groups.