The utility of the Mood Disorders Questionnaire as a screening tool in a methadone maintenance treatment program

Objective. Comorbid mental illness amongst methadone maintenance therapy clients may be common and screening may be warranted. The Mood Disorders Questionnaire (MDQ) is a screening tool for bipolar disorder that has been validated in other treatment settings. Its utility for patients with substance use disorders is assessed in this study.

Methods. Clients of a methadone maintenance program were invited to complete the MDQ when they attended a public Drug and Alcohol Service for their regular scheduled appointments. Information about their history of substance use was also collected.

Results. Eighty clients (43 females, 37 males) aged 35 8.0 years (mean SD) participated in the study. Seventy-four clients completed the MDQ of which 36 (48.6%) obtained a positive screen. A check of client fi les suggested that only three of the 74 participants had a current working diagnosis of bipolar disorder. These three participants had screened positive on the MDQ.

Conclusions. There was a high prevalence of manic symptoms reported by participants, suggesting that screening for bipolar disorder in this population may be warranted. However, there is a risk of false positives with the MDQ, as it does not clearly differentiate between symptoms of mania and drug intoxication.

House price bubble estimations in Australia's capital cities with market fundamentals

This paper investigates the existence of house price bubbles in Australia's eight capital cities in recent years by using quantitative analyses including Johansen cointegration test, Granger causality test, impulse response and Chow forecast test. While interactions between house prices and market fundamentals are discussed in long-run and causal estimations, shocks from the market fundamentals to house prices are investigated in generalized impulse response analyses. Findings from estimating house price bubbles for eight capital cities suggest that there was an obvious house price bubble in Perth, while a slight house price bubble occurred in Sydney. In contrast, house prices in Adelaide and Darwin can be explained very well by market fundamentals, while house prices in Melbourne, Brisbane, Hobart and Canberra were undervalued in the study period.