Intuitive Judgments in Depression and the Role of Processing Fluency and Positive Valence: A Preregistered Replication Study.

Background: Recent preliminary evidence indicates that depression is associated with impaired intuitive information processing. The current study aimed at replicating these findings and to move one step further by exploring whether factors known as triggering intuition (positivity, processing fluency) also affect intuition in patients with depression. Method: We pre-registered and tested five hypotheses using data from 35 patients with depression and 35 healthy controls who performed three versions of the Judgment of Semantic Coherence Task (JSCT, Bowers et al., 1990). This task operationalizes intuition as the inexplicable and sudden detection of semantic coherence. Results: Results revealed that depressed patients and healthy controls did not differ in their general intuitive performance (Hypothesis 1). We further found that fluency did not significantly affect depressed patients' coherence judgments (H2a) and that the assumed effect of fluency on coherence judgments was not moderated by depression (H2b). Finally, we found that triads positive in valence were more likely to be judged as coherent as compared to negative word triads in the depressed sample (H3a), but this influence of positive (vs. negative) valence on coherence judgments did not significantly differ between the two groups (H3b). Conclusion: Overall the current study did not replicate findings from previous research regarding intuitive semantic coherence detection deficits in depression. However, our findings suggest that enhancing positivity in depressed patients may facilitate their ability to see meaning in their environment and to take intuitive decision.

Propensity scores as a basis for equating groups: basic principles and application in clinical treatment outcome research.

A propensity score is the probability that a participant is assigned to the treatment group based on a set of baseline covariates. Propensity scores provide an excellent basis for equating treatment groups on a large set of covariates when randomization is not possible. This article provides a nontechnical introduction to propensity scores for clinical researchers. If all important covariates are measured, then methods that equate on propensity scores can achieve balance on a large set of covariates that mimics that achieved by a randomized experiment. We present an illustration of the steps in the construction and checking of propensity scores in a study of the effectiveness of a health coach versus treatment as usual on the well-being of seriously ill individuals. We then consider alternative methods of equating groups on propensity scores and estimating treatment effects including matching, stratification, weighting, and analysis of covariance. We illustrate a sensitivity analysis that can probe for the potential effects of omitted covariates on the estimate of the causal effect. Finally, we briefly consider several practical and theoretical issues in the use of propensity scores in applied settings. Propensity score methods have advantages over alternative approaches to equating groups particularly when the treatment and control groups do not fully overlap, and there are nonlinear relationships between covariates and the outcome.

Quality of life and predictors of long-term outcome after severe burn injury.

The aim of this study was to identify the long-term quality of life after severe burn injury. In a prospective longitudinal design, N = 265 burn patients were examined 6, 12, 24, and 36 months after burn injury. A multilevel approach was used to measure stability and change in self-reported health status. Besides injury-related variables, self-report instruments included measures of quality of life, psychological distress, personality, and specific burn outcome measures. Fitting of unconditional growth models indicated that there was significant intra- and inter-individual variation in self-reported physical and mental health short form-12. Over the course of 3 years, participants reported on average a slight improvement of physical quality of life. Physical health was mainly predicted by mobility and level of burn severity. Variance in mental health status was mainly predicted by gender, mobility, neuroticism, level of depression and posttraumatic stress disorder (PTSD)-related avoidance. Thus mobility (i.e., simple abilities) seems a crucial variable for overall quality of life. An early identification and treatment of patients with high levels of depression and PTSD-related avoidance may contribute to better mental health.