Subjective well-being as an indicator for clinical depression

The Theory of Homeostasis posits that Subjective Well-being (SWB) is regulated by a dynamic biological mechanism, assisting to maintain a positive view of life. Further, the theory suggests that clinical depression is the loss of SWB due to the defeat of this homeostatic defence system. To test this hypothesis it was predicted that people who were diagnosed as clinically depressed with the Semi-structured Clinical Interview (SCID-1/NP) based on the DSM-IV-TR Axis 1 would have a Personal Well-being Index-Adult (PWI-A) score below the normative range (70–80% of scale maximum). Following ethical approval a sample of 146 men was obtained and each was assessed on the SCID-1/NP and on the PWI-A. Subjects diagnosed as having one of several pathologies such as post traumatic stress disorder, panic disorder, social phobia and specific phobia were found to score significantly lower on the PWI-A compared to participants who received no diagnosis. However, as the data did not discriminate between currently depressed and persons with other non-depressive psychopathologies, a Receiver Operating Characteristics (ROC) curve analysis was used to explore this data further. Results indicated that the PWI-A was significantly better than guessing in discriminating clinically depressed cases, but only just so. Therefore, while this research found support for the proposition that the loss of SWB indicated clinical depression, the PWI-A is not sufficiently specific for diagnosis, nor can it be concluded that all instances of depression is the failure of SWB.

The prevalence of mood and anxiety disorders in Australian women

Objective: We aimed to report the prevalence, age-of-onset and comorbidity of mood and anxiety disorders in an age-stratified representative sample of Australian women aged 20 years and over.

Method: Mood and anxiety disorders were diagnosed utilising a clinical interview (SCID-I/NP). The lifetime and current prevalence of these disorders was determined from the study population (n = 1095) and standardized to 2006 census data for Australia.

Results: Approximately one in three women (34.8%) reported a lifetime history of any mood and/or anxiety disorder, with mood disorders (30.0%) being more prevalent than anxiety disorders (13.5%). Of these, major depression (23.4%), panic disorder (5.5%) and specific phobia (3.5%) were the most common. The lifetime prevalence of other disorders was low (≤3%). A total of 14.4% of women were identified as having a current mood and/or anxiety disorder, with similar rates of mood (8.9%) and anxiety disorders (8.0%) observed. The median age-of-onset for mood disorders was 27.0 years and 18.5 years for anxiety disorders.

Conclusions: This study reports the lifetime and current prevalence of mood and anxiety disorders in the Australian female population. The findings emphasize the extent of the burden of these disorders in the community.

Cigarette smoking, nicotine dependence and anxiety disorders : a systematic review of population-based, epidemiological studies

Background Multiple studies have demonstrated that rates of smoking and nicotine dependence are increased in individuals with anxiety disorders. However, significant variability exists in the epidemiological literature exploring this relationship, including study design (cross-sectional versus prospective), the population assessed (random sample versus clinical population) and diagnostic instrument utilized.

Methods We undertook a systematic review of population-based observational studies that utilized recognized structured clinical diagnostic criteria (Diagnostic and Statistical Manual of Mental Disorders (DSM) or International Classification of Diseases (ICD)) for anxiety disorder diagnosis to investigate the relationship between cigarette smoking, nicotine dependence and anxiety disorders.

Results In total, 47 studies met the predefined inclusion criteria, with 12 studies providing prospective information and 5 studies providing quasiprospective information. The available evidence suggests that some baseline anxiety disorders are a risk factor for initiation of smoking and nicotine dependence, although the evidence is heterogeneous and many studies did not control for the effect of comorbid substance use disorders. The identified evidence however appeared to more consistently support cigarette smoking and nicotine dependence as being a risk factor for development of some anxiety disorders (for example, panic disorder, generalized anxiety disorder), although these findings were not replicated in all studies. A number of inconsistencies in the literature were identified.

Conclusions Although many studies have demonstrated increased rates of smoking and nicotine dependence in individuals with anxiety disorders, there is a limited and heterogeneous literature that has prospectively examined this relationship in population studies using validated diagnostic criteria. The most consistent evidence supports smoking and nicotine dependence as increasing the risk of panic disorder and generalized anxiety disorder. The literature assessing anxiety disorders increasing smoking and nicotine dependence is inconsistent. Potential issues with the current literature are discussed and directions for future research are suggested.

The diagnostic validity and reliability of an internet-based clinical assessment program for mental disorders

BACKGROUND: Internet-based assessment has the potential to assist with the diagnosis of mental health disorders and overcome the barriers associated with traditional services (eg, cost, stigma, distance). Further to existing online screening programs available, there is an opportunity to deliver more comprehensive and accurate diagnostic tools to supplement the assessment and treatment of mental health disorders. OBJECTIVE: The aim was to evaluate the diagnostic criterion validity and test-retest reliability of the electronic Psychological Assessment System (e-PASS), an online, self-report, multidisorder, clinical assessment and referral system. METHODS: Participants were 616 adults residing in Australia, recruited online, and representing prospective e-PASS users. Following e-PASS completion, 158 participants underwent a telephone-administered structured clinical interview and 39 participants repeated the e-PASS within 25 days of initial completion. RESULTS: With structured clinical interview results serving as the gold standard, diagnostic agreement with the e-PASS varied considerably from fair (eg, generalized anxiety disorder: κ=.37) to strong (eg, panic disorder: κ=.62). Although the e-PASS' sensitivity also varied (0.43-0.86) the specificity was generally high (0.68-1.00). The e-PASS sensitivity generally improved when reducing the e-PASS threshold to a subclinical result. Test-retest reliability ranged from moderate (eg, specific phobia: κ=.54) to substantial (eg, bulimia nervosa: κ=.87). CONCLUSIONS: The e-PASS produces reliable diagnostic results and performs generally well in excluding mental disorders, although at the expense of sensitivity. For screening purposes, the e-PASS subclinical result generally appears better than a clinical result as a diagnostic indicator. Further development and evaluation is needed to support the use of online diagnostic assessment programs for mental disorders. TRIAL REGISTRATION: Australian and New Zealand Clinical Trials Registry ACTRN121611000704998; http://www.anzctr.org.au/trial_view.aspx?ID=336143 (Archived by WebCite at http://www.webcitation.org/618r3wvOG).