Relationships between trait emotion dysregulation and emotional experiences in daily life: an experience sampling study

Linking a latent variable trait-state-occasion model of emotion regulation to cognitive control

Emotion dysregulation (ED) is a vulnerability factor for affective disorders that may originate from deficits in cognitive control (CC). Although measures of ED are often designed to assess trait-like tendencies, the extent to which such measures capture a time-varying (TV) or state-like construct versus a time-invariant (TI) or trait-like personality characteristic is unclear. The link between the TV and TI components of ED and CC is also unclear. In a 6-wave, 5-month longitudinal study, community participants (n = 1281) completed the Difficulties in Emotion Regulation Scale (DERS-16), a commonly used measure of ED and measures of CC. A latent variable (trait-state-occasion) model showed that the proportion of TI factor variance (.80) was greater than the TV factor variance (.19). Although TV factor stability was significant, the coefficients were small in magnitude. Furthermore, regression weights for the ED TI factor (average β  = -.62) were significant and larger than those for the TV factor (average β  = -.10) in predicting latent CC at each of the six-time points. These findings suggest that ED, as assessed by the DERS-16, is largely TI and this TI component is more strongly linked to CC than the TV component.

Assessing Emotion Polyregulation in Daily Life: Who Uses It, When Is It Used, and How Effective Is It?

Most research on emotion regulation has focused on understanding individual emotion regulation strategies. Preliminary research, however, suggests that people often use several strategies to regulate their emotions in a given emotional scenario (polyregulation). The present research examined who uses polyregulation, when polyregulation is used, and how effective polyregulation is when it is used. College students (N = 128; 65.6% female; 54.7% White) completed an in-person lab visit followed by a 2-week ecological momentary assessment protocol with six randomly timed survey prompts per day for up 2 weeks. At baseline, participants completed measures assessing past-week depression symptoms, social anxiety-related traits, and trait emotion dysregulation. During each randomly timed prompt, participants reported up to eight strategies used to change their thoughts or feelings, negative and positive affect, motivation to change emotions, their social context, and how well they felt they were managing their emotions. In pre-registered analyses examining the 1,423 survey responses collected, polyregulation was more likely when participants were feeling more intensely negative and when their motivation to change their emotions was stronger. Neither sex, psychopathology-related symptoms and traits, social context, nor subjective effectiveness was associated with polyregulation, and state affect did not moderate these associations. This study helps address a key gap in the literature by assessing emotion polyregulation in daily life.

Supplementary Information

The online version contains supplementary material available at 10.1007/s42761-022-00166-x.

Tangle: A metric for quantifying complexity and erratic behavior in short time series

Temporal complexity refers to qualities of a time series that are emergent, erratic, or not easily described by linear processes. Quantifying temporal complexity within a system is key to understanding the time based dynamics of said system. However, many current methods of complexity quantification are not widely used in psychological research because of their technical difficulty, computational intensity, or large number of required data samples. These requirements impede the study of complexity in many areas of psychological science. A method is presented, tangle, which overcomes these difficulties and allows for complexity quantification in relatively short time series, such as those typically obtained from psychological studies. Tangle is a measure of how dissimilar a given process is from simple periodic motion. Tangle relies on the use of a three-dimensional time delay embedding of a one-dimensional time series. This embedding is then iteratively scaled and premultiplied by a modified upshift matrix until a convergence criterion is reached. The efficacy of tangle is shown on five mathematical time series and using emotional stability, anxiety time series data obtained from 65 socially anxious participants over a 5-week period, and positive affect time series derived from a single participant who experienced a major depression episode during measurement. Simulation results show tangle is able to distinguish between different complex temporal systems in time series with as few as 50 samples. Tangle shows promise as a reliable quantification of irregular behavior of a time series. Unlike many other complexity quantification metrics, tangle is technically simple to implement and is able to uncover meaningful information about time series derived from psychological research studies. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

A meta-analysis of emotional regulation outcomes in psychological interventions for youth with depression and anxiety

Difficulties in applying emotional regulation (ER) skills are associated with depression and anxiety symptoms, and are common targets of treatment. This meta-analysis examined whether improvements in ER skills were associated with psychological treatment outcomes for depression and/or anxiety in youth. A multivariate, random-effects meta-analysis was run using metafor in R. Inclusion criteria included studies that were randomized controlled trials (RCTs) of a psychological intervention for depression and/or anxiety in patients aged 14-24, were peer reviewed, were written in English, measured depression and/or anxiety symptoms as an outcome and measured ER as an outcome. Medline, Embase, APA PsycInfo, CINAHL and The Cochrane Library were searched up to 26 June 2020. Risk of bias (ROB) was assessed using the Cochrane Collaboration Risk of Bias 2.0 tool. The meta-analysis includes 385 effect sizes from 90 RCTs with total N = 11,652. Psychological treatments significantly reduced depression, anxiety, emotion dysregulation (k = 13, Hedges' g = 0.54, P < 0.001, 95% confidence interval (CI) = 0.30-0.78) and disengagement ER (k = 83, g = 0.24, 95% CI = 0.15-0.32, P < 0.001); engagement ER also increased (k = 82, g = 0.26, 95% CI = 0.15-0.32, P < 0.001). Improvements in depression and anxiety were positively associated with improved engagement ER skills, reduced emotion dysregulation and reduced disengagement ER skills. Sensitivity considered study selection and publication bias. Longer treatments, group formats and cognitive-behavioural orientations produced larger positive associations between improved ER skills and reduced symptoms. ER skill improvement is linked to depression and anxiety across a broad range of interventions for youth. Limitations of the current study include reliance on self-report measures, content overlap between variables and inability to test the directionality of associations.