Cognitive processes associated with emotional disorders: implications for efficient psychological treatments

Variables Associated with Emotional Symptom Severity in Primary Care Patients: The Usefulness of a Logistic Regression Equation to Help Clinical Assessment and Treatment Decisions

The aim of this study is to contribute to the evidence regarding variables related to emotional symptom severity and to use them to exemplify the potential usefulness of logistic regression for clinical assessment at primary care, where most of these disorders are treated. Cross-sectional data related to depression and anxiety symptoms, sociodemographic characteristics, quality of life (QoL), and emotion-regulation processes were collected from 1,704 primary care patients. Correlation and analysis of variance (ANOVA) tests were conducted to identify those variables associated with both depression and anxiety. Participants were then divided into severe and nonsevere emotional symptoms, and binomial logistic regression was used to identify the variables that contributed the most to classify the severity. The final adjusted model included psychological QoL (p < .001, odds ratio [OR] = .426, 95% CI [.318, .569]), negative metacognitions (p < .001, OR = 1.083, 95% CI [1.045, 1.122]), physical QoL (p < .001, OR = .870, 95% CI [.841, .900]), brooding rumination (p < .001, OR = 1.087, 95% CI [1.042, 1.133]), worry (p < .001, OR = 1.047, 95% CI [1.025, 1.070]), and employment status (p = .022, OR [.397, 2.039]) as independent variables, ρ2 = .326, area under the curve (AUC) = .857. Moreover, rumination and psychological QoL emerged as the best predictors to form a simplified equation to determine the emotional symptom severity (ρ2 = .259, AUC = .822). The use of statistical models like this could accelerate the assessment and treatment-decision process, depending less on the subjective point of view of clinicians and optimizing health care resources.

Effectiveness of brief group transdiagnostic therapy for emotional disorders in primary care: A randomized controlled trial identifying predictors of outcome

AbstractBrief transdiagnostic psychotherapy is a possible approach for emotional disorders in primary care. The objective of the present randomized controlled trial was to determine its effectiveness compared with the treatment as usual based on pharmacological interventions in patients with mild/moderate symptoms. In addition, emotional regulation strategies and cognitive factors were studied as potential predictors. Participants (N = 105) were assigned to brief group therapy based on the Unified Protocol (n = 53) or treatment as usual (n = 52). They were assessed before and after the interventions. Mean differences and stepwise regression analyses were performed. Brief group transdiagnostic psychotherapy was more effective than medication in reducing all clinical symptoms (p = .007 for generalized anxiety; p = .000 for somatization; p = .000 for panic disorder; and p = .041 for depression) and in modifying emotional regulation strategies and cognitive processes (p = .000 for cognitive reappraisal, expressive suppression, worry, rumination, and metacognition) with moderate/high effect sizes. Besides, it was found that these variables acted as predictors of the therapeutic change. It is concluded that brief therapies could be an accurate treatment for mild/moderate emotional disorders in primary care due to their cost-effective characteristics.