Depression and psychodynamic psychotherapy

Depression is a complex condition, and its classical biological/psychosocial distinction is fading. Current guidelines are increasingly advocating psychotherapy as a treatment option. Psychodynamic psychotherapy models encompass a heterogeneous group of interventions derived from early psychoanalytic conceptualizations. Growing literature is raising awareness in the scientific community about the importance of these treatment options, as well as their favorable impact on post-treatment outcomes and relapse prevention. Considering the shifting paradigm regarding treatment of depressive disorder, the authors aim to provide a brief overview of the definition and theoretical basis of psychodynamic psychotherapy, as well as evaluate current evidence for its effectiveness.

The Mood Rhythm Instrument: development and preliminary report

Objective: To describe the initial steps in the development and validation of a new self-reported instrument designed to assess daily rhythms of mood symptoms, namely, the Mood Rhythm Instrument. Methods: A multidisciplinary group of experts took part in systematic meetings to plan the construction of the instrument. Clarity of items, their relevance to evaluation of mood states, and the consistency of findings in relation to the available evidence on the biological basis of mood disorders were investigated. The internal consistency of the questionnaire was evaluated through Cronbach’s alpha. Results: All of the items proposed in a first version were well rated in terms of clarity. The items more frequently rated as “rhythmic” were related to the somatic symptoms of mood. Their peaks in 24 hours were more frequent in the morning. The items associated with affective symptoms of mood were rated as less rhythmic, and their peak in 24 hours occurred more frequently in the afternoon and evening. Males and females behaved more similarly with respect to somatic than behavioral-affective items. The second version of the Mood Rhythm Instrument had a Cronbach’s alpha of 0.73. Conclusion: The proposed Mood Rhythm Instrument may be able to detect individual rhythms of cognitive and behavioral measures associated with mood states. Validation in larger samples and against objective measures of rhythms, such as actigraphy, is warranted.

Prevalence of behavior problems and associated factors in preschool children from the city of Salvador, state of Bahia, Brazil

Objective: To identify the prevalence of internalizing and externalizing behavior problems among preschoolers from the city of Salvador, state of Bahia, Brazil, and their associations with maternal mental health and family characteristics. Methods: This was a cross-sectional study of 349 children aged 49 to 72 months, randomly selected from 20,000 households representing the range of socioeconomic and environmental conditions in Salvador. In 1999, we assessed sociodemographic variables and family environment characteristics. In 2001, we used the Child Behavior Checklist to measure and describe the frequencies of behavior problems. We conducted bivariate and multivariate analysis to estimate associations between family and maternal factors and prevalence of behavior problems. Results: The overall prevalence of behavior problems was 23.5%. The prevalence of internalizing problems was 9.7%, and that of externalizing problems, 25.2%. Behavior problems were associated with several maternal mental health variables, namely: presence of at least one psychiatric diagnosis (odds radio [OR] 3.01, 95%CI 1.75-5.18), anxiety disorder (OR 2.06, 95%CI 1.20-3.46), affective disorder (OR 2.10, 95%CI 1.21-3.65), and mental health disorders due to use of psychoactive substances (OR 2.31, 95%CI 1.18-4.55). Conclusion: The observed prevalence of child behavior problems fell within the range reported in previous studies. Maternal mental health is an important risk factor for behavior problems in preschool-aged children.

The joint structure of major depression, anxiety disorders, and trait negative affect

Background: Dimensional models of psychopathology demonstrate that two correlated factors of fear and distress account for the covariation among depressive and anxiety disorders. Nevertheless, these models tend to exclude variables relevant to psychopathology, such as temperament traits. This study examined the joint structure of DSM-IV-based major depression and anxiety disorders along with trait negative affect in a representative sample of adult individuals residing in the cities of São Paulo and Rio de Janeiro, Brazil. Methods: The sample consisted of 3,728 individuals who were administered sections D (phobic, anxiety and panic disorders) and E (depressive disorders) of the Composite International Diagnostic Interview (CIDI) 2.1 and a validated version of the Positive and Negative Affect Schedule. Data were analyzed using correlational and structural equation modeling. Results: Lifetime prevalence ranged from 2.4% for panic disorder to 23.2% for major depression. Most target variables were moderately correlated. A two-factor model specifying correlated fear and distress factors was retained and confirmed for models including only diagnostic variables and diagnostic variables along with trait negative affect. Conclusions: This study provides support for characterization of internalizing psychopathology and trait negative affect in terms of correlated dimensions of distress and fear. These results have potential implications for psychiatric taxonomy and for understanding the relationship between temperament and psychopathology. .

Comorbid psychiatric disorders and stages of change in cannabis-dependent, treatment-seeking patients

Objectives: To determine whether and to what extent cannabis dependence is associated with comorbid psychiatric disorders and specific stages of change in treatment-seeking patients. Methods: We evaluated 80 cannabis-dependent, treatment-seeking patients residing in an urban area. Data on cannabis dependence, psychiatric disorders, and motivation were obtained using the Schedules for Clinical Assessment in Neuropsychiatry and the University of Rhode Island Change Assessment (URICA). Results: A diagnosis of schizophrenia was found to correlate with lower motivation scores (p = 0.038), which could have a negative effect on adherence to treatment. Conclusion: The high prevalence of concurrent psychiatric disorders in cannabis-dependent patients should serve as a stimulus for early screening and treatment of such disorders. Health care professionals should be aware of the magnitude of this association to increase the level of motivation in cannabis-dependent patients with severe concurrent psychiatric disorders. .