Australian & New Zealand Journal of Psychiatry

There have been substantial changes in workforce and employment patterns in Australia over the past 50 years as a result of economic globalisation. This has resulted in substantial reduction in employment in the manufacturing industry often with large-scale job losses in concentrated sectors and communities. Large-scale job loss events receive significant community attention. To what extent these mass unemployment events contribute to increased psychological distress, mental illness and suicide in affected individuals warrants further consideration.

Here we undertake a narrative review of published job loss literature. We discuss the impact that large-scale job loss events in the manufacturing sector may have on population mental health, with particular reference to contemporary trends in the Australian economy. We also provide a commentary on the expected outcomes of future job loss events in this context and the implications for Australian public mental health care services.

Job loss due to plant closure results in a doubling of psychological distress that peaks 9 months following the unemployment event. The link between job loss and increased rates of mental illness and suicide is less clear. The threat of impending job loss and the social context in which job loss occurs has a significant bearing on psychological outcomes. The implications for Australian public mental health services are discussed.

The objective is to summarise recent findings from the 2010 Australian Survey of High Impact Psychosis (SHIP) and examine their implications for future policy and planning to improve mental health, physical health and other circumstances of people with a psychotic disorder.

Survey of High Impact Psychosis collected nationally representative data on 1825 people with psychotic illness. Over 60 papers have been published covering key challenges reported by participants: financial problems, loneliness and social isolation, unemployment, poor physical health, uncontrolled symptoms of mental illness, and lack of stable, suitable housing. Findings are summarised under the rubric of participant-ranked top challenges.

The main income source for the majority (85%) of participants was a government benefit. Only one-third was employed, and the most appropriate employment services for this group were under-utilised. High rates of loneliness and social isolation impacted mental and physical health. The rate of cardiometabolic disease was well above the general population rate, and associated risk factors were present from a very young age. Childhood abuse (30.6%), adult violent victimisation (16.4%) and alcohol and substance abuse/dependence (lifetime rates of 50.5% and 54.5%, respectively) complicated the clinical profile. Treatment with medication was suboptimal, with physical health conditions undertreated, a high rate of psychotropic polypharmacy and underutilisation of clozapine in chronic persistent psychotic illness. Only 38.6% received evidence-based psychosocial therapies. In the previous year, 27.4% had changed housing and 12.8% had been homeless, on average for 155 days.

Money, social engagement and employment are the most important challenges for people with psychotic illness, as well as good physical and mental health. An integrated approach to recovery is needed to optimise service delivery and augment evidence-based clinical practice with measures to improve physical health and social circumstances. Meeting these challenges has the potential to reduce costs to government and society, as well as promote recovery.

We aimed to describe the prevalence and age distribution of personality disorders and their comorbidity with other psychiatric disorders in an age-stratified sample of Australian women aged ⩾25 years.

Individual personality disorders (paranoid, schizoid, schizotypal, histrionic, narcissistic, borderline, antisocial, avoidant, dependent, obsessive-compulsive), lifetime mood, anxiety, eating and substance misuse disorders were diagnosed utilising validated semi-structured clinical interviews (Structured Clinical Interview for DSM-IV-TR Axis I Disorders, Research Version, Non-patient Edition and Structured Clinical Interview for DSM-IV Axis II Personality Disorders). The prevalence of personality disorders and Clusters were determined from the study population (n = 768), and standardised to the Australian population using the 2011 Australian Bureau of Statistics census data. Prevalence by age and the association with mood, anxiety, eating and substance misuse disorders was also examined.

The overall prevalence of personality disorders in women was 21.8% (95% confidence interval [CI]: 18.7, 24.9). Cluster C personality disorders (17.5%, 95% CI: 16.0, 18.9) were more common than Cluster A (5.3%, 95% CI: 3.5, 7.0) and Cluster B personality disorders (3.2%, 95% CI: 1.8, 4.6). Of the individual personality disorders, obsessive-compulsive (10.3%, 95% CI: 8.0, 12.6), avoidant (9.3%, 95% CI: 7.1, 11.5), paranoid (3.9%, 95% CI: 3.1, 4.7) and borderline (2.7%, 95% CI: 1.4, 4.0) were among the most prevalent. The prevalence of other personality disorders was low (⩽1.7%). Being younger (25–34 years) was predictive of having any personality disorder (odds ratio: 2.36, 95% CI: 1.18, 4.74), as was being middle-aged (odds ratio: 2.41, 95% CI: 1.23, 4.72). Among the strongest predictors of having any personality disorder was having a lifetime history of psychiatric disorders (odds ratio: 4.29, 95% CI: 2.90, 6.33). Mood and anxiety disorders were the most common comorbid lifetime psychiatric disorders.

Approximately one in five women was identified with a personality disorder, emphasising that personality disorders are relatively common in the population. A more thorough understanding of the distribution of personality disorders and psychiatric comorbidity in the general population is crucial to assist allocation of health care resources to individuals living with these disorders.

There is growing awareness of the range of psychosocial, lifestyle, and sociodemographic factors related to self-harm, however this research is often limited by using cross-sectional or convenience samples. And while we generally assume that young adults who self-harm experience poorer long-term outcomes, longitudinal research is needed. This paper builds on prior research using a large, representative, longitudinal sample.

5765 Australian women completed 5 surveys (age 18–23 to 31–36). Six-month self-harm was measured by self-report. We had two aims: firstly to predict future self-harm, separately for women with and without prior self-harm. Secondly, to identify outcomes 3 and 6 years following self-harm.

Six-month self-harm prevalence was 2.5%. Predictors among women without recent self-harm included depression, dieting behaviours, number of male sexual partners, and abuse. Among women with recent or current self-harm, predictors were number of dieting behaviours, tiredness of life, and stress. Women who self-harmed reported poorer outcomes, namely greater difficulties in relationships at 3- and 6-year follow-up.

Longitudinal risk factors for self-harm differed depending on prior self-harm status, and included depression, dieting behaviours, tiredness of life and stress. These factors may serve as warning signs for new or continued self-harm. This study offers new insight into long-term outcomes up to six years after self-harm, particularly with relationships.

Although there is clear evidence that reproductive cycle events are associated with mood episodes for women with bipolar disorder, few studies have examined for relationships between these and specific clinical characteristics of the disorder. This study aimed to explore the relationship between mood symptoms associated with reproductive cycle events and features of the disorder indicative of a more severe lifetime course.

Totally, 158 women of at least 18 years of age participated in the study. Subjects were recruited through a specialist clinic at the Black Dog Institute, Sydney, Australia.

In total, 77% of women reported increases in mood symptoms during perimenstrual, postnatal or menopausal periods. These women had an earlier age of onset for depressive and hypo/manic episodes and a greater likelihood of comorbid anxiety disorders, rapid cycling and mixed mood compared to those who did not report such reproductive cycle–associated mood changes. Women who experienced postnatal episodes were also more likely to experience worse mood symptoms perimenstrually and menopausally.

First, reproductive cycle event–related worsening of mood was associated with a more severe lifetime course of bipolar disorder, and, second, it appears that some women have a greater propensity to mood worsening at each of these reproductive cycle events. If replicated, these findings provide important information for clinicians treating women with reproductive cycle event mood changes and highlight the need for improved therapeutics for such presentations.

To describe the prevalence of symptoms of depression and anxiety, and the level of life stress and worry in late pregnancy for Māori and non-Māori women.

In late pregnancy, women completed a questionnaire recording their prior history of mood disorders; self-reported current depressive symptoms (⩾13 on the Edinburgh Postnatal Depression Scale), current anxiety symptoms (⩾6 on the anxiety items from the Edinburgh Postnatal Depression Scale), significant life stress (⩾2 items on life stress scale) and dysfunctional worry (>12 on the Brief Measure of Worry Scale).

Data were obtained from 406 Māori women (mean age = 27.6 years, standard deviation=6.3 years) and 738 non-Māori women (mean age = 31.6 years, standard deviation=5.3 years). Depressive symptoms (22% vs 15%), anxiety symptoms (25% vs 20%), significant life stress (55% vs 30%) and a period of poor mood during the current pregnancy (18% vs 14%) were more prevalent for Māori than non-Maori women. Less than 50% of women who had experienced ⩾2 weeks of poor mood during the current pregnancy had sought help. Being young was an independent risk factor for depressive symptoms, significant life stress and dysfunctional worry. A prior history of depression was also consistently associated with a greater risk of negative affect in pregnancy.

Antenatal mental health requires at least as much attention and resourcing as mental health in the postpartum period. Services need to specifically target Māori women, young women and women with a prior history of depression.

Our understanding of patient pathways through specialist Alcohol and Other Drug treatment and broader health/welfare systems in Australia remains limited. This study examines how treatment outcomes are influenced by continuity in specialist Alcohol and Other Drug treatment, engagement with community services and mutual aid, and explores differences between clients who present with a primary alcohol problem relative to those presenting with a primary drug issue.

In a prospective, multi-site treatment outcome study, 796 clients from 21 Alcohol and Other Drug services in Victoria and Western Australia completed a baseline interview between January 2012 and January 2013. A total of 555 (70%) completed a follow-up assessment of subsequent service use and Alcohol and Other Drug use outcomes 12-months later.

Just over half of the participants (52.0%) showed reliable reductions in use of, or abstinence from, their primary drug of concern. This was highest among clients with meth/amphetamine (66%) as their primary drug of concern and lowest among clients with alcohol as their primary drug of concern (47%), with 31% achieving abstinence from all drugs of concern. Continuity of specialist Alcohol and Other Drug care was associated with higher rates of abstinence than fragmented Alcohol and Other Drug care. Different predictors of treatment success emerged for clients with a primary drug problem as compared to those with a primary alcohol problem; mutual aid attendance (odds ratio = 2.5) and community service engagement (odds ratio = 2.0) for clients with alcohol as the primary drug of concern, and completion of the index treatment (odds ratio = 2.8) and continuity in Alcohol and Other Drug care (odds ratio = 1.8) when drugs were the primary drugs of concern.

This is the first multi-site Australian study to include treatment outcomes for alcohol and cannabis users, who represent 70% of treatment seekers in Alcohol and Other Drug services. Results suggest a substantial proportion of clients respond positively to treatment, but that clients with alcohol as their primary drug problem may require different treatment pathways, compared to those with illicit drug issues, to maximise outcomes.