Background: Current research is moving from studying cognitive biases and maladaptive emotion regulation (ER) as relatively stable phenomena contributing to affective disturbances, adopting ecological methodologies, such as Experience Sampling Methods (ESM). However, there is still limited ESM evidence on the interactions between stress and ER strategies' use, and negative interpretation biases, regarding their relations with momentary affective states. In this study, we used a new ESM design to disentangle the contextual, regulatory and cognitive processes implicated in daily affective experiences.
View Article and Find Full Text PDFDecreased levels of positive affect (PA) are a hallmark of depression. Current models propose as potential main mechanisms a dysfunctional use of emotion regulation (ER) strategies (i.e.
View Article and Find Full Text PDFBackground: Experience sampling methods (ESMs) are increasingly being used to study ecological emotion dynamics in daily functioning through repeated assessments taken over several days. However, most of these ESM approaches are only based on self-report assessments, and therefore, studies on the ecological trajectories of their underlying mechanisms are scarce (ie, cognitive biases) and require evaluation through experimental tasks. We developed a novel ESM tool that integrates self-report measures of emotion and emotion regulation with a previously validated app-based cognitive task that allows for the assessment of underlying mechanisms during daily functioning.
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