7 research outputs found
Choose change: Situation modification, distraction, and reappraisal in mild versus intense negative situations
Time to reappraise or distract? Temporal and situational context in emotion regulation in daily life
Contextual factors influence how people regulate their everyday emotions. While daily life is rich with situations that evoke emotion regulation, few studies have broadly investigated the role of context in regulating emotions in response to naturally occurring negative events. In this study, we use a structured diary technique - the Experience Sampling Method - to test how different types of contextual factors are associated with using reappraisal and distraction to regulate daily emotions in N = 74 young adults from the general population. The following contextual factors were assessed: time of the day, weekday, tiredness, event stressfulness, and event type. We found that higher stressfulness of negative events was associated with using more distraction within- and between-person and using more reappraisal between persons. Time of day and weekday were not associated with reappraisal or distraction use, suggesting that variation in people’s external environments due to temporal patterns does not influence reappraisal or distraction use. However, tiredness was positively associated with distraction and reappraisal use within persons. Exploratory analyses suggested that experiencing time pressure affords less distraction use, and that experiencing physical discomfort affords less reappraisal use. These findings underscore the dynamic nature of emotion regulation, and the importance of context in everyday emotion regulation
Network Models to Organize a Dispersed Literature: The Case of Misunderstanding Analysis of Covariance
Choose change: Situation modification, distraction, and reappraisal in mild versus intense negative situations
Despite the theoretical importance and applied potential of situation modification as an emotion regulation strategy, empirical research on how people change situations to regulate their emotions is scarce. Meanwhile, existing paradigms typically allowed participants to avoid the entire situation, thus confounding situation modification with situation selection. In our current experiments, participants could choose between partially modifying their negative emotional environment without avoiding it entirely and two well-established emotion regulation strategies (reappraisal and distraction). Participants did choose situation modification (Experiments 1–2) and they did so more often for intense than for mild stimuli in Experiment 2. In addition, modifying the stimulus display effectively helped downregulating negative affect (Experiments 1–2). Finally, in both experiments, participants opted more for distraction for intense compared to mild stimuli, while they opted more for reappraisal for mild compared to intense stimuli. Presenting a first step in developing a paradigm that allows people to exert control over but to not avoid emotion-provoking situations, we thus show that changing one’s environment helps regulating one’s emotions. More generally, our findings indicate that people prefer to regulate their emotions using disengagement strategies (situation modification and distraction) with high-intensity relative to low-intensity negative situations, while they prefer engagement strategies (reappraisal) with low-intensity relative to high-intensity negative situations
Network Models to Organize a Dispersed Literature: The Case of Misunderstanding Analysis of Covariance
We outline a network method to synthesize a literature overview from search results obtained by multiple team members. Several network statistics are used to create a single representativeness ranking. We illustrate the method with the dispersed literature on a common misinterpretation of analysis of covariance (ANCOVA). The network method yields a top ten list of the most relevant articles that students and researchers can take as a point of departure for a more detailed study on this topic. The proposed methodology is implemented in Shiny, an open-source R package
Psycho-social factors associated with mental resilience in the Corona lockdown
The SARS-CoV-2 pandemic is not only a threat to physical health but is also having severe impacts on mental health. Although increases in stress-related symptomatology and other adverse psycho-social outcomes, as well as their most important risk factors have been described, hardly anything is known about potential protective factors. Resilience refers to the maintenance of mental health despite adversity. To gain mechanistic insights about the relationship between described psycho-social resilience factors and resilience specifically in the current crisis, we assessed resilience factors, exposure to Corona crisis-specific and general stressors, as well as internalizing symptoms in a cross-sectional online survey conducted in 24 languages during the most intense phase of the lockdown in Europe (22 March to 19 April) in a convenience sample of N = 15,970 adults. Resilience, as an outcome, was conceptualized as good mental health despite stressor exposure and measured as the inverse residual between actual and predicted symptom total score. Preregistered hypotheses (osf.io/r6btn) were tested with multiple regression models and mediation analyses. Results confirmed our primary hypothesis that positive appraisal style (PAS) is positively associated with resilience (p < 0.0001). The resilience factor PAS also partly mediated the positive association between perceived social support and resilience, and its association with resilience was in turn partly mediated by the ability to easily recover from stress (both p < 0.0001). In comparison with other resilience factors, good stress response recovery and positive appraisal specifically of the consequences of the Corona crisis were the strongest factors. Preregistered exploratory subgroup analyses (osf.io/thka9) showed that all tested resilience factors generalize across major socio-demographic categories. This research identifies modifiable protective factors that can be targeted by public mental health efforts in this and in future pandemics. © 2021, The Author(s)