Predicting functional impairment in euthymic patients with mood disorder: A 5-year follow-up.

Major Depressive Disorder and Bipolar Disorder are psychiatric disorders associated with psychosocial impairment. Despite clinical improvement, functional complaints usually remain, mainly impairing occupational and cognitive performance. The aim of this study was to use machine learning techniques to predict functional impairment in patients with mood disorders. For that, analyzes were performed using a population-based cohort study. Participants diagnosed with a mood disorder at baseline and reassessed were considered (n = 282). Random forest (RF) with previous recursive feature selection and LASSO algorithms were applied to a training set with imputed data by bagged trees resulting in two main models. Following recursive feature selection, 25 variables were retained. The RF model had the best performance compared to LASSO. The most important variables in predicting functional impairment were sexual abuse, severity of depressive, anxiety, and somatic symptoms, physical neglect, emotional abuse, and physical abuse. The model demonstrated acceptable performance to predict functional impairment. However, our sample is composed of young participants and the model may not generalize to older individuals with mood disorders. More studies are needed in this direction. The presented calculator has clinical, sociodemographic, and environmental data, demonstrating that it is possible to use such information to predict functional performance.

Predictors of illicit substance abuse/dependence during young adulthood: A machine learning approach.

Prior studies have found an especially high prevalence of illicit substance use among adolescents and young adults in Brazil. The current study aimed to employ machine learning techniques to identify predictors of illicit substance abuse/dependence among a large community sample of young adults followed for 5 years. This prospective, population-based cohort study included a sample of young adults between the ages of 18-24 years from Pelotas, Brazil at baseline (T1). The Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) was used to assess illicit substance abuse/dependence. A clinical interview was conducted to collect data on sociodemographic characteristics and psychopathology. Elastic net was used to generate a regularized linear model for the machine learning component of this study, which followed standard machine learning protocols. A total of 1560 young adults were assessed at T1, while 1244 were reassessed at the 5-year follow-up period (T2). The strongest predictors of illicit substance abuse/dependence at baseline (AUC of 0.83) were alcohol abuse/dependence, tobacco abuse/dependence, being in a current major depressive episode, history of a lifetime manic episode, current suicide risk, and male sex. The strongest predictors for illicit substance abuse/dependence at the 5-year follow-up (AUC: 0.79) were tobacco abuse/dependence at T1, history of a lifetime manic episode at T1, male sex, alcohol abuse/dependence at T1, and current suicide risk at T1. Our findings indicate that machine learning techniques hold the potential to predict illicit substance abuse/dependence among young adults using sociodemographic/clinical characteristics, with relatively high accuracy.

Early illness progression in mood disorders: A population-based longitudinal study.

This study is aimed at assessing changes in functioning among young people from the general population with bipolar disorder and major depressive disorder over a period of five years. Specifically, we hypothesized that significant illness progression would take place during euthymia over time in bipolar disorder. We conducted a longitudinal study with 231 people, assessed at baseline and again at a five-year follow-up. A structured clinical interview was used to diagnose participants with mood disorders. A control group without mood disorders was also included. Functioning was assessed with the Functioning Assessment Short Test, and linear mixed models were used to analyze the effect of psychopathology on change in functioning. Mood disorders were associated with significant functional impairment, but functioning significantly improved in both groups over the 5-year follow-up period. Depressive episodes, however, were associated with worse functioning at follow-up, independently of depression severity. In contrast to our initial hypothesis, we found a worsening of functioning in a five-year period associated only with depressive episodes. This suggests that interventions focused on the prevention of mood episodes early in the course of illness may be particularly promising to reduce adverse functioning outcomes.

Incidence and Risk Factors for Suicide Attempts in Patients Diagnosed with Major Depressive Disorder.

OBJECTIVE: This study seeks to investigate the cumulative incidence and risk factors of suicide attempts in an outpatient sample of adults diagnosed with major depressive disorder (MDD). MATERIALS AND METHODS: This is a longitudinal study with 377 patients aged between 18 and 60 years. Those were diagnosed with MDD with no history of suicide attempts when they sought care at the Mental Health Outpatient Clinic of the Catholic University of Pelotas and evaluated again 3 years after. Participants were evaluated with the Mini International Neuropsychiatric Interview (MINI Plus) and answered instruments of clinical investigation and a sociodemographic questionnaire. RESULTS: The cumulative incidence of suicide attempts in the sample was 10.1%. Youths aged up to 29 years (OR 2.23; 95% CI 1.13 to 4.64), with low schooling (OR 2.35; 95% CI 1.15 to 4.80), who suffered intense physical abuse during childhood (OR 2.77; 95% CI 1.31 to 5.84) and were at prior suicide risk (OR 3.39; 95% CI 1.56 to 7.37) were more likely to attempt suicide. CONCLUSION: The findings of this study may help health professionals identify depressed patients at greater risk for a first suicide attempt, supporting clinical decision and therapeutic planning.

Differences between unipolar mania and bipolar-I disorder: Evidence from nine epidemiological studies.

OBJECTIVES: Although clinical evidence suggests important differences between unipolar mania and bipolar-I disorder (BP-I), epidemiological data are limited. Combining data from nine population-based studies, we compared subjects with mania (M) or mania with mild depression (Md) to those with BP-I with both manic and depressive episodes with respect to demographic and clinical characteristics in order to highlight differences. METHODS: Participants were compared for gender, age, age at onset of mania, psychiatric comorbidity, temperament, and family history of mental disorders. Generalized linear mixed models with adjustment for sex and age as well as for each study source were applied. Analyses were performed for the pooled adult and adolescent samples, separately. RESULTS: Within the included cohorts, 109 adults and 195 adolescents were diagnosed with M/Md and 323 adults and 182 adolescents with BP-I. In both adult and adolescent samples, there was a male preponderance in M/Md, whereas lifetime generalized anxiety and/panic disorders and suicide attempts were less common in M/Md than in BP-I. Furthermore, adults with mania revealed bulimia/binge eating and drug use disorders less frequently than those with BP-I. CONCLUSIONS: The significant differences found in gender and comorbidity between mania and BP-I suggest that unipolar mania, despite its low prevalence, should be established as a separate diagnosis both for clinical and research purposes. In clinical settings, the rarer occurrence of suicide attempts, anxiety, and drug use disorders among individuals with unipolar mania may facilitate successful treatment of the disorder and lead to a more favorable course than that of BP-I disorder.

Is Narrative Cognitive Therapy as Effective as Cognitive Behavior Therapy in the Treatment for Depression in Young Adults?

This study aimed to compare the effectiveness of narrative cognitive therapy (NCT) and cognitive behavior therapy (CBT) in the improvement of perception of quality of life in young adults with depression at 12-month follow-up. This was a randomized clinical trial conducted using seven sessions of NCT or CBT. Quality of life was measured using the Medical Outcomes Survey Short-Form General Health Survey. The sample included 97 patients. Considering only completers to be samples, CBT was more effective than NCT for improvement of physical functioning (p = 0.031), vitality (p = 0.013), and mental health (p = 0.002) at 12-month follow-up. However, in the intention-to-treat analysis, we found no difference between groups. Regardless of model, we found a significant improvement in all domains from baseline to postintervention and 6- and 12-month follow-ups, except for the bodily pain domain. In conclusion, both models were effective in the improvement of perception of quality of life.

History of childhood trauma as risk factors to suicide risk in major depression.

The aim of this study was to compare childhood trauma scores domains between Major Depressive Disorder (MDD) patients with and without suicide risk. This is cross-sectional study including a clinical sample of adults (18-60 years) diagnosed with MDD through the Mini International Neuropsychiatric Interview Plus version (MINI Plus). The Childhood Trauma Questionnaire (CTQ) was also used to verify types of trauma scores: abuse (emotional, physical, and sexual) and neglect (emotional and physical). Adjusted analysis was performed by linear regression. The sample was composed to 473 patients, suicide risk was observed in 16.3% of them. Suicide risk was independently associated with emotional abuse and neglect and sexual abuse, but not with physical abuse and neglect. Different domains of childhood trauma are associated with suicide risk in MDD population and emotional trauma should be considered a risk factor for suicide risk in MDD patients.

Pro-inflammatory cytokines and psychotherapy in depression: Results from a randomized clinical trial.

Depression is a serious condition that is associated with great psychic suffering and major impairments on the patient's general health, quality of life, and social and occupational activities. In some cases, it may lead to suicide. Regardless of the innumerous research works that have already addressed depression in wide and specific facets, there is still a lot to grasp in order to effectively help preventing and treating depression. This work presents data from a randomized clinical trial that sought to evaluate the effectiveness of two brief psychotherapeutic for Depression: Cognitive Behavioral Therapy (CBT) and Supportive-Expressive Dynamic Psychotherapy (SEDP). This was a convenience sample composed of 46 individuals that were evaluated using a structured diagnostic interview and then randomly allocated to the SEDP group. We examined baseline and post-intervention serum levels of the Interleukin-6 (IL-6) and the Tumor Necrosis Factor (TNF-α) in addition to the severity of depressive symptoms according to the Outcome Questionnaire - 45.2 (OQ-45.2) and the Beck Depression Inventory (BDI). Results show that serum IL-6 and TNF-α levels, as well as the scores from the OQ-45.2 and the BDI significantly decreased after 16 sessions of SEDP (p < 0.001), except for the Interpersonal Relationship domain from the OQ-45. Despite the reduction of serum cytokines levels and OQ-45 and BDI scores, they were only significantly correlated regarding the social role domain from the OQ-45. Nonetheless, our data suggests an effective role of brief psychodynamic psychotherapy in the reduction of depressive symptoms and serum inflammatory levels that are associated with depression.

Behavioral Dysphonia and Depression in Elementary School Teachers.

OBJECTIVE/HYPOTHESIS: To verify the relationship between behavioral dysphonia and current depressive episodes in municipal elementary school teachers. We hypothesize that teachers with behavioral dysphonia will be more susceptible to psychiatric disorders. DESIGN: Cross-sectional study, quantitative, conducted across municipal schools in both rural and urban regions of Pelotas. METHOD: Five-hundred seventy-five teachers from urban and rural areas of the same Brazilian state were included. The full version of the Voice Handicap Index validated into Brazilian Portuguese was used to determine the presence of behavioral dysphonia. A profile of vocal behaviors was also used to quantify the number of phonotraumatic events. In addition, the Mini-International Neuropsychiatric Interview was used to determine current episodes of depression. Data were analyzed via correlative studies using chi-square and Poisson regression analyses. RESULTS: Across all teachers, the prevalence of dysphonia was 33.9% and 55% reported that they had already taken a leave because of their voice. Those teachers with a current depressive episode had a higher rate of dysphonia compared with those without depression (prevalence ratio [PR] 1.66; P < 0.000). Teachers who presented with a risk of serious vocal problems had a prevalence ratio of 2.58, indicating a greater proportion of dysphonia, whereas teachers classified as champions of abuse were five times more likely compared with those teachers with behaved or candidates for voice problems. CONCLUSIONS: There is an association between behavioral dysphonia and current depressive episodes in elementary school teachers.