The Australian and New Zealand journal of psychiatry最新文献

Objectives: Several components are known to underlie goal-directed pursuit, including executive, motivational and volitional functions. These were explored in schizophrenia spectrum disorders in order to identify subgroups with distinct profiles.

Methods: Multiple executive, motivational and volitional tests were administered to a sample of outpatients with schizophrenia spectrum diagnoses (n = 59) and controls (n = 63). Research questions included whether distinct profiles exist and whether some functions are impacted disproportionately. These questions were addressed via cluster analysis and profile analysis, respectively.

Results: Some such functions were significantly altered in schizophrenia while others were unaffected. Two distinct profiles emerged, one characterized by energizing deficits, reduced reward sensitivity and few subjective complaints; while another was characterized by markedly increased punishment sensitivity, intact reward sensitivity and substantial subjective reporting of avolitional symptoms and boredom susceptibility.

Conclusion: These findings highlight the importance of considering distinct patterns of strengths and deficits in functions governing goal-directed pursuit in schizophrenia that demarcate identifiable subtypes. These distinctions have implications for treatment, assessment and research.

Background: Young people with a mental disorder often perform poorly at school and can fail to complete high school. This study aims to compare scholastic performance and high school completion of young people hospitalised with a mental disorder compared to young people not hospitalised for a mental disorder health condition by gender.

Method: A population-based matched case-comparison cohort study of young people aged ⩽18 years hospitalised for a mental disorder during 2005-2018 in New South Wales, Australia using linked birth, health, education and mortality records. The comparison cohort was matched on age, gender and residential postcode. Generalised linear mixed modelling examined risk of school performance below the national minimum standard and generalised linear regression examined risk of not completing high school for young people with a mental disorder compared to matched peers.

Results: Young males with a mental disorder had over a 1.7 times higher risk of not achieving the national minimum standard for numeracy (adjusted relative risk: 1.71; 95% confidence interval: [1.35, 2.15]) and reading (adjusted relative risk: 1.99; 95% confidence interval: [1.80, 2.20]) compared to matched peers. Young females with a mental disorder had around 1.5 times higher risk of not achieving the national minimum standard for numeracy (adjusted relative risk: 1.50; 95% confidence interval: [1.14, 1.96]) compared to matched peers. Both young males and females with a disorder had around a three times higher risk of not completing high school compared to peers. Young males with multiple disorders had up to a sixfold increased risk and young females with multiple disorders had up to an eightfold increased risk of not completing high school compared to peers.

Conclusion: Early recognition and support could improve school performance and educational outcomes for young people who were hospitalised with a mental disorder. This support should be provided in conjunction with access to mental health services and school involvement and assistance.

Objective: Understanding the pathways to care for migrants experiencing a first episode of psychosis is important, as they are more likely to experience longer delays to treatment and negative experiences, such as involuntary treatment. Despite the increased risk of developing a psychotic illness and barriers associated with pathways to care, there are limited studies exploring pathways to care in migrants in Australia. This study seeks to examine pathways to care for young people with a first episode of psychosis to a publicly funded youth mental health service.

Methods: This study included all young people aged 15-24 years who presented with a first episode of psychosis to the Early Psychosis Prevention and Intervention Centre (EPPIC) between 1 February 2011 and 31 December 2016. Referral sources and place of birth were recorded at the time of presentation. The severity of psychotic symptoms was rated at baseline.

Results: A total of 1220 young people presented with a first episode of psychosis during the study period, including 293 (24.5%) first-generation migrants. First-generation migrants with a first episode of psychosis were more likely to be admitted to hospital than Australian-born youth (odds ratio = 1.67, 95% confidence interval = [1.27, 2.18], p < 0.001) and this remained significant when controlled for demographic (adjusted odds ratio = 1.41, 95% confidence interval = [1.07, 1.88], p = 0.016) and clinical factors (adjusted odds ratio = 1.38,95% confidence interval = [1.01, 1.89], p = 0.044). First-generation migrants were also more likely to have an involuntary admission (odds ratio = 1.67, 95% confidence interval = [1.26, 2.21], p < 0.001) and this remained significant when controlled for demographic (adjusted odds ratio = 1.42, 95% confidence interval = [1.05, 1.91], p = 0.022) and clinical factors (adjusted odds ratio = 1.50, 95% confidence interval = [1.08, 2.09], p = 0.017). Migrants had more severe delusions (p = 0.005), bizarre behavior (p < 0.001) and positive formal thought disorder (p = 0.003) at the time of presentation. Migrants were also more likely to attend the emergency department during their presentation with first episode of psychosis (odds ratio = 1.76, 95% confidence interval = [1.31, 2.36], p < 0.001).

Conclusion: First-generation migrants who develop a psychotic disorder are at greater risk of experiencing negative pathways to care than the Australian-born population. Further research is needed to identify the factors that lead to migrants being involuntarily admitted to hospital for first episode of psychosis.

Objective: Mental disorder is common among people who stalk. However, the nature of this association is unclear and it is not known whether the commencement of stalking is associated with symptoms of disorder. This study used a longitudinal design to examine the association between the onset and cessation of stalking behavior and indicators of mental disorder in the form of mental health service use.

Method: Data linkage was used to explore public mental health service use among 157 people who engaged in stalking in Melbourne, Australia. Mental health service use across the lifetime, 5 months prior to stalking onset, between the onset and cessation of stalking (during stalking) and 5 months post-stalking was identified. Mixed regression models tested temporal associations between types of mental health service use (acute vs continuing care) and onset and cessation of stalking in a subsample of 130 participants where dates of the stalking episode were available.

Results: A total of 105 (67%) participants had lifetime use of public mental health services, while 15% accessed mental health services in the 5 months prior to (N = 19) or during the stalking (N = 20) and 22% (N = 29) used services in the 5 months after the stalking ceased. Odds of using acute mental health services and average monthly rate of use were highest during the stalking. Odds and average monthly rate of using continuing care were highest after the episode ceased.

Conclusions: Most people who stalk have used public mental health services, but a minority access services immediately prior to or during the stalking episode. Acute service use was more common during the stalking, while use of continuing care services was more common after the stalking ceased. These findings provide preliminary support for a temporal relationship between acute mental disorder and stalking behavior.

Background: Nascent evidence indicates that the mental health of parents and children has markedly declined during the COVID-19 pandemic. Considering disruptions to traditional face-to-face mental health services resultant from stay-at-home orders, the potential value of digital mental health interventions has become extremely apparent. Despite this, uptake of digital interventions remains poor, indicating that a better understanding is needed of factors that determine a willingness to use digital platforms.

Method: The present multi-wave, longitudinal study of 2365 Australian parents explored between-person and within-person predictors of intentions to use digital interventions during the pandemic.

Results: More than one-third of parents reported likely use of a self-guided and therapist-guided digital intervention, with the most endorsed reason for use being to support their child's mental health. Between-person baseline predictors of higher intention ratings were parent's prior mental illness, not living with a partner and recent environmental stressors. Within-person predictors of higher intention ratings were endorsement of mindful parenting strategies, child access to the Internet, better perceived management of child's education, lower social support and financial hardship.

Conclusion: Findings demonstrate that willingness to engage in digital interventions fluctuates in response to changing circumstances. Identifying novel ways to increase acceptance and uptake of digital interventions based on modifiable predictors established here is needed to realize the full potential of these modes of care in times of need.

Background: Perception of loneliness has been identified as the strongest predictor of health-related quality of life assessed with the Assessment of Quality of Life-4D in people with psychotic disorders. We aimed to establish contributors to perceived loneliness, and ascertain the mediating role of loneliness in the relationship between identified contributors to loneliness and other known predictors of health-related quality of life with health-related quality of life.

Methods: Data for 1642 people collected as part of the 2010 Australian National Survey of Psychosis were analysed. Health-related quality of life was assessed using the Assessment of Quality of Life-4D, and loneliness through a single-item five-level categorical variable. To identify independent contributors to loneliness, a statistical model was constructed with reference to a theoretical model comprising 23 variables. A predictive model with health-related quality of life as the dependent variable was then developed and tested to assess the mediating role of loneliness.

Results: Nine contributors to loneliness were found (social dysfunction, experienced stigma, contact with friends, diagnosis, depressive symptoms, anxiety, mental health service utilisation, arthritis and traumatic events in childhood), with social dysfunction the strongest. In the prediction of health-related quality of life, all contributors to loneliness were partially mediated through loneliness (except service utilisation) as were negative symptoms and use of psychotropic/anticholinergic medications.

Conclusion: Assuming a plausible causal model of mediation, loneliness was found to have direct and indirect effects on health-related quality of life in people with psychotic disorders. Findings add impetus to efforts to develop and trial strategies aimed at reducing loneliness in this population, and, in turn, improving their health-related quality of life.

Objective: Cognitive-behavioural therapy is recommended as the first-line treatment for children and adolescents with anxiety. Despite its efficacy, a recent United Kingdom study indicated that few children with anxiety disorders receive cognitive-behavioural therapy. The primary aim of this study was to examine the receipt of cognitive-behavioural therapy for children and adolescents with elevated anxiety symptoms in Australia. Second, this study also examined whether there was a difference in the type of treatment received based on socioeconomic status and geographical location.

Method: Using self-reported questionnaires, parents of children aged 4-18 years and children aged 12-18 years (N = 784; elevated anxiety symptom sample n = 169) were recruited from four samples: community (n = 164), school (n = 177), clinic (n = 16) and online panel provider (n = 427). Participants reported on the child's anxiety symptoms and the type of treatment (if any) the child received for their anxiety symptoms.

Results: Results indicated that 19.5% of children and adolescents with elevated anxiety symptoms received evidence-based treatment (e.g. cognitive-behavioural therapy). Of those families who did seek help for anxiety in Australia, the majority (66.3%) did not receive cognitive-behavioural therapy. In addition, neither socioeconomic status (which was based on the Australian Index of Community Socio-Educational Advantage [ICSEA]) nor location (metropolitan vs regional/remote) affected whether individuals received evidence-based care or non-evidence-based care.

Conclusion: Overall, children and adolescents in this study seeking support for their anxiety symptoms were not receiving adequate evidence-based care, regardless of socioeconomic status and location. These findings indicate there is a need to increase the receipt of cognitive-behavioural therapy for children and adolescents with anxiety symptoms. The findings should tentatively be interpreted, given data were collected during the COVID-19 pandemic.

Objective: Mental health service use by individuals without a diagnosed mental disorder is sometimes termed 'met un-need'. However, provision of services for this group may be necessary to provide appropriate assessment, referral and early intervention. This study quantified child and adolescent use of, and perceived need for, mental health services to inform population-level service planning.

Methods: Young people in Australia's Young Minds Matter survey (n = 5837, 5-17 years), were categorised into four 'need' groups: (1) 12-month mental disorder diagnosis; (2) remitted for more than 12 months (or experiencing a condition not surveyed); (3) 12-month subthreshold mental health problem; and (4) no indication of need for help (i.e. did not meet the requirements of the first three categories). Service demand (use of, or perceived need for, a mental health service) and number of sessions received were estimated for each, separately for children (5-11 years) and adolescents (12-17 years).

Results: Some 20.1% (95% CI: [18.6, 21.7]) of children and 32.3% (95% CI: [30.5, 34.2]) of adolescents expressed a demand for mental health services in the past year. Service demand decreased across the need groups. Perceived need without service use was higher among those with a 12-month subthreshold mental health problem (13.8/20.2%) than those who had experienced a mental health problem that had remitted for more than 12 months (or were experiencing a condition not surveyed) (9.3/12.6%). In addition, 23.6% of children and 24.6% of adolescents with a demand for mental health services were classified as experiencing no indication of need for help.

Conclusions: This study quantified the number of children and adolescents in Australia who are likely to require mental health services. Findings suggest that not everyone in this group who has an expressed service demand meets diagnostic thresholds, but among those who do, service demand is higher.