Australian & New Zealand Journal of Psychiatry

Depression has been identified as a priority disorder among children and adolescents. While numerous reviews have examined the individual and family factors that contribute to child and adolescent depressive symptoms, less is known about community-level risk and protective factors. The aim of this study was to complete a systematic review to identify community risk and protective factors for depression in school-aged children (4–18 years).

The review adopted the procedures recommended by the Cochrane Non-Randomised Studies Methods Working Group and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A comprehensive literature search was conducted to identify both observational and intervention study designs in both peer-reviewed and non-peer reviewed publications.

A total of 21 studies met the inclusion criteria. Seventeen of the 18 community association studies and 2 of the 3 intervention studies reported one or more significant effects. Results indicated that community safety and community minority ethnicity and discrimination act as risk factors for depressive symptoms in school-aged children. Community disadvantage failed to achieve significance in meta-analytic results but findings suggest that the role of disadvantage may be influenced by other factors. Community connectedness was also not directly associated with depressive symptoms.

There is evidence that a number of potentially modifiable community-level risk and protective factors influence child and adolescent depressive symptoms suggesting the importance of continuing research and intervention efforts at the community-level.

The article gives an introductory overview of the use of the Delphi expert consensus method in mental health research. It explains the rationale for using the method, examines the range of uses to which it has been put in mental health research, and describes the stages of carrying out a Delphi study using examples from the literature.

To ascertain the range of uses, a systematic search was carried out in PubMed. The article also examines the implications of ‘wisdom of crowds’ research for how to conduct Delphi studies.

The Delphi method is a systematic way of determining expert consensus that is useful for answering questions that are not amenable to experimental and epidemiological methods. The validity of the approach is supported by ‘wisdom of crowds’ research showing that groups can make good judgements under certain conditions. In mental health research, the Delphi method has been used for making estimations where there is incomplete evidence (e.g. What is the global prevalence of dementia?), making predictions (e.g. What types of interactions with a person who is suicidal will reduce their chance of suicide?), determining collective values (e.g. What areas of research should be given greatest priority?) and defining foundational concepts (e.g. How should we define ‘relapse’?). A range of experts have been used in Delphi research, including clinicians, researchers, consumers and caregivers.

The Delphi method has a wide range of potential uses in mental health research.

A national network of expert centers for bipolar disorders was set up in France to provide support, mainly for psychiatrists, who need help for managing bipolar disorder patients. The aims of this article are to present the main characteristics of the patients referred to an expert center in order to highlight the major disturbances affecting these patients and to understand the most significant difficulties encountered by practitioners dealing with bipolar disorder patients.

Patients were evaluated by trained psychiatrists and psychologists, with standardized and systematic assessment using interviews and self-report questionnaires.

All patients (n = 839) met Diagnostic and Statistical Manual of Mental Disorders–Fourth Edition criteria for bipolar disorder I (48.4%), bipolar disorder II (38.1%) or bipolar disorder–not otherwise specified (13.5%). Mean illness duration was 17 years (±11.3), with 41.9% of patients having a history of suicide attempts. Lifetime comorbidities were 43.8% for anxiety disorders and 32.8% for substance abuse. At the point of inclusion, most patients (76.2%) were not in an acute phase, being considered to have a syndromal remission, but which still required referral to a tertiary system of care. Among these patients, 37.5% had mild to moderate residual depressive symptoms (Montgomery and Asberg Depression Rating Scale ranging from 7 to 19) despite 39% receiving an antidepressant. However, 47.8% were considered to be poorly adherent to medication; 55% showed evidence of sleep disturbances, with half being overweight; 68.1% of patients showed poor functioning (Functioning Assessment Short Test ⩾ 12) with this being linked to residual depressive symptoms, sleep disturbances and increased body mass index.

It appears that bipolar disorder patients referred to an expert center in most cases do not suffer from a severe or resistant illness but they rather have residual symptoms, including subtle but chronic perturbations that have a major impact on levels of functioning. The longitudinal follow-up of these patients will enable a better understanding of the evolution of such residual symptoms.

Stigma and discrimination are central concerns for people with mental health problems. The aim of the study was to carry out a national survey in order to assess experiences of avoidance, discrimination and positive treatment in people with mental health problems.

In 2014, telephone interviews were carried out with 5220 Australians aged 18+, 1381 of whom reported a mental health problem or scored highly on a symptom screening questionnaire. Questions covered experiences of avoidance, discrimination and positive treatment by friends, spouse, other family, workplace, educational institution and others in the community.

In most domains, respondents reported more positive treatment experiences than avoidance or discrimination. Friends and family were more likely to avoid the person than to discriminate.

The results can provide input into the design of anti-discrimination interventions and further empower people with mental health problems as they advocate for change in the area of discrimination.

The aim of the current study was to examine the rates of violence prior to and 3 years following treatment initiation, and predictors of post-treatment violence in Chinese young people presenting with first-episode psychosis (FEP).

Seven hundred patients aged 15–25 years consecutively enrolled in a territory-wide early intervention program for FEP in Hong Kong from July 2001 to August 2003 were studied. Socio-demographic, pre-treatment, baseline and 3-year follow-up variables were collected via systematic medical file review. Violent behavior was defined as physical aggression towards people and was further categorized at two levels of severity.

After onset of psychosis, 6.7% (n = 47) patients exhibited violence before treatment. During 3-year treatment period, 9.4% (n = 66) committed violent behavior and 4.3% (n = 30) perpetrated serious violence. Two-fifths (40.4%) of patients who displayed pre-treatment violent behavior engaged in further act of violence after service contact. Multivariate regression analysis showed that previous violence, male gender and lower educational attainment were significantly associated with an increased risk of violence during 3-year follow-up. Comorbid substance, male gender, lower educational level and past history of violence were found to independently predict occurrence of serious violence after commencement of treatment for FEP.

In a large representative cohort of Chinese young FEP patients, the rates of violent behavior before and after treatment were relatively lower than that reported in the literature. Risk factors for violence identified by the current study were comparable to the findings of previous research conducted in western populations. Close monitoring of patients with history of violence and specific treatments targeting at minimizing substance abuse may facilitate early identification and intervention of high-risk cases to reduce violence risk in the early course of illness.

With the wide and rapid expansion of computers and smartphones, Internet use has become an essential part of life and an important tool that serves various purposes. Despite the advantages of Internet use, psychological and behavioral problems, including Internet addiction, have been reported. In response to growing concern, researchers have focused on the characteristics of Internet addicts. However, relatively little is known about the behavioral and neural mechanisms that underlie Internet addiction, especially with respect to risky decision making, which is an important domain frequently reported in other types of addictions.

To examine the neural characteristics of decision making in Internet addicts, Internet addicts and healthy controls were scanned while they performed a financial decision-making task.

Relative to healthy controls, Internet addicts showed (1) more frequent risky decision making; (2) greater activation in the dorsal anterior cingulate cortex and the left caudate nucleus, which are brain regions involved in conflict monitoring and reward, respectively; and (3) less activation in the ventrolateral prefrontal cortex, an area associated with cognitive control/regulation.

These findings suggest that risky decision making may be an important behavioral characteristic of Internet addiction and that altered brain function in regions associated with conflict monitoring, reward and cognitive control/regulation might be critical biological risk factors for Internet addiction.