Menopausal transition and depression: who is at risk and how to treat it?

The menopausal transition may impose a challenge to clinicians and health professionals who are invested in improving women's quality of life; after all, this period in life is commonly marked by significant hormone fluctuations accompanied by bothersome vasomotor symptoms (e.g., hot flushes and night sweats) and other somatic complaints. In addition, more recent epidemiologic data demonstrate that some women transitioning to menopause may be at higher risk for developing depression when compared with their risk during premenopausal years; this increased risk appears to be true even among those who had never experienced depression before. In this article, putative contributing factors for this window of vulnerability for depression during the menopausal transition are critically reviewed. Hormonal and nonhormonal factors that may contribute to the occurrence of physical and/or psychiatric complaints during the menopausal transition are discussed. Lastly, existing evidence-based treatment strategies are summarized.     

Music therapy for depression: it seems to work, but how?

Evidence is beginning to emerge that music therapy can improve the mental health of people with depression. We examine possible mechanisms of action of this complex intervention and suggest that music therapy partly is effective because active music-making within the therapeutic frame offers the patient opportunities for new aesthetic, physical and relational experiences.     

Relative effects of CBT and pharmacotherapy in depression versus anxiety: is medication somewhat better for depression,and CBT somewhat better for anxiety?

Background: Little is known about whether cognitive behavioral therapy (CBT) or pharmacotherapy is relatively more advantageous for depressive versus anxiety disorders. Methods: We conducted a meta‐analysis wherein we searched electronic databases and references to select randomized controlled studies comparing CBT and pharmacotherapy, with or without placebo, in adults with major depressive or anxiety disorders. The primary effect size was calculated from disorder‐specific outcome measures as the difference between CBT and pharmacotherapy outcomes (i.e., positive effect size favors CBT; negative effect size favors pharmacotherapy). Results: Twenty‐one anxiety ( N = 1,266) and twenty‐one depression ( N = 2,027) studies comparing medication to CBT were included. Including all anxiety disorders, the overall effect size was.25 (95% CI: ?0.02, 0.55, P =.07). Effects for panic disorder significantly favored CBT over medications (.50, 95% CI: 0.02, 0.98). Obsessive–compulsive disorder showed similar effects‐sizes, though not statistically significant (.49, 95% CI: ?0.11, 1.09). Medications showed a nonsignificant advantage for social anxiety disorder (?.22, 95% CI: ?0.50, 0.06). The overall effect size for depression studies was.05 (95% CI: ?0.09, 0.19), with no advantage for medications or CBT. Pooling anxiety disorder and depression studies, the omnibus comparison of the relative difference between anxiety and depression in effectiveness for CBT versus pharmacotherapy pointed to a nonsignificant advantage for CBT in anxiety versus depression ( B =.14, 95% CI: ?0.14, 0.43). Conclusions: On balance, the evidence presented here indicates that there are at most very modest differences in effects of CBT versus pharmacotherapy in the treatment of anxiety versus depressive disorders. There seems to be larger differences between the anxiety disorders in terms of their relative responsiveness to pharmacotherapy versus CBT. Depression and Anxiety, 2011. © 2011 Wiley‐Liss, Inc.     

Computer-based treatment for anxiety and depression: is it feasible? Is it effective?

The rise of consumerism, escalating levels of technological change and increasing demand for better dissemination of psychological treatments signal a transformation in the treatment of mental health problems. Soon health care consumers will have a choice as to whether they wish to consult a clinician in his/her rooms in order to receive a diagnosis, treatment and support, or instead to receive these services electronically, or a combination of both. Some of the online services currently available include structured therapy programs, psychological treatment by email, real-time online counselling, professionally assisted chat rooms, self-help groups, health information and educational modules. This paper reviews the use of computer programs in mental health care and, in particular, for the treatment of anxiety and depression. Issues of feasibility, ethics, and effectiveness are discussed and the future of computer-based treatment programs in mental health is considered.     

Who is someone?

The ways of knowing another human being are limited to personal information provided by the individual, creative expressions by the individual, personal observations of the individual, and empathic identification with the individual. Each of these sources of information, while valuable, possesses certain inherent limitations, often contributing to a distorted picture of who a person is. To a large extent, such distortions can be attributed to the still unresolved issue of what is meant by a "self." Addressing this issue allows for a more rational formulation of just who someone is.     

Autism Spectrum Disorder and School Bullying: Who is the Victim? Who is the Perpetrator?

While a growing number of studies indicate associations between experiences of bullying and autism spectrum disorder (ASD), it is not clear what roles comorbid behavioral problems may play. We investigated the experiences of children with ASD as victims and/or perpetrators of bullying. Children with ASD epidemiologically ascertained participated in a cross-sectional study. Although children with ASD showed significantly increased risk for bullying involvement compared to community children, after controlling for comorbid psychopathology and other demographic factors, increased risks for being perpetrators or victim-perpetrators disappeared while risk for being bullied/teased continued to be significantly elevated. This finding will help guide medical, educational and community personnel to effectively identify children with ASD at risk for school bullying and develop interventions.     

Parental depression and depression in offspring: evidence for familial characteristics and subtypes?

The objectives of this paper were twofold. First, to evaluate in a community sample the age of onset of major depression in adolescents and young adults with and without parental major depression. Second, to examine whether specific clinical characteristics of major depression in adolescents and young adults are associated with elevated rates of major depression among parents. Baseline and 4-year follow-up data were used from the Early Developmental Stages of Psychopathology Study (EDSP), a prospective-longitudinal community study of adolescents and young adults. Results are based on 470 subjects who completed the follow-up, for whom diagnostic information for both parents was available, and who reported at least one episode of major depression according to DSM-IV-criteria through second follow-up. Diagnostic assessment in respondents was accomplished by using the standardized Munich-Composite International Diagnostic Interview (M-CIDI). Information on major depression in parents was collected as family history information from the respondents, and additionally from M-CIDI diagnostic interviews with parents of the younger cohort. Both recurrence and impairment as clinical characteristics of major depression in adolescents and young adults were associated with elevated rates of major depression among parents. Age of onset as well as overall higher impairment as clinical characteristics of major depression in youth were associated with elevated rates of parental major depression in the univariate, but not in the multiple, analyses. Our findings suggest that clinical features of major depression may indicate familial subtypes of the disorder, most evident for recurrence and impairment.     

Suicide risk: where, why and how is it generated?

In this editorial we will first use the findings of epidemiological research to show that the closer we get to brain dysfunction, the higher is the suicide risk (Where?). Secondly, a distinction will be made between the proximate and ultimate causation of suicide behaviour as a biological phenomenon (Why?). Using the evolutionary psychiatry approach, the ultimate causation of suicide could answer the question why does suicidal behaviour exist at all? Third, we will review the most attractive recent molecular genetic findings in the field of suicidology genetics (How?). These three perspectives will in turn lead us to summarise where, why and how suicide risk is generated?     

Could health care costs for depression be decreased if the disorder were correctly diagnosed and treated?

Background: The aim of the present study was to assess the general population from two Sardinian areas to ascertain the direct health care costs involved in a diagnosis of major depression, and to verify the hypothesis of an increased expenditure for untreated depressed subjects.Design: A case-control study was carried out using the database of an epidemiological community survey. Cases were subjects with a diagnosis of Major Depressive Episode (ICD-10, WHO 1992) in the last year, and controls comprised two groups matched to cases for sex and age, made up of healthy subjects and subjects affected by chronic somatic disorders, respectively.Results: Depressed subjects use more health care resources than those affected by chronic somatic disorders or healthy subjects. An increase in health care costs is observed for drugs and hospitalisations in depressed subjects for whom no adequate antidepressive treatment has been prescribed.Conclusions: In spite of the limitations of the small sample size, the results seem to confirm an increase of direct health care costs in untreated depressed subjects. In view of the availability of efficient forms of treatment for depression, the findings obtained indicate that depression should be considered a priority question for public health and assigning of resources. Further confirmation should be sought in larger population-based studies representing the entire national context.