Context and dynamics: The new frontier for developmental research on emotion regulation.

Silk, Jennifer S.

doi:10.1037/dev0000768

Cited by 38 publications

(20 citation statements)

References 37 publications

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“…Moreover, manipulating real-world social experiences provides additional key insights by bringing a level of experimental control to complex dynamics (Sequeira, Ladouceur, Jones, & Silk, 2019;Silk, in ).…”

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confidence: 99%

Advancing clinical neuroscience through enhanced tools: Pediatric social anxiety as an example

et al. 2019

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Background: Clinical researchers face challenges when trying to quantify diverse processes engaged during social interactions. We report results from two studies, each demonstrating the potential utility of tools for examining processes engaged during social interactions.Method: In the first study, youth (n = 57) used a smartphone-based tool to rate mood and responses to social events. A subset (n = 20) completed the second, functional magnetic resonance imaging study. This second study related anxiety to error-evoked brain responses in two social conditions-while being observed and when alone.We also combined these tools to bridge clinical, social-contextual, and neural levels of measurement.Results: Results from the first study showed an association between negativelyperceived social experiences and a range of negative emotions. In the second study there was a positive correlation during error monitoring between social-anxiety severity and context-specific activation of the pregenual anterior cingulate cortex.Finally, during imaging, the perceived quality of peer interactions as assessed using the smartphone-based tool, interacted with social context to predict levels of activation in the hippocampus and superior frontal gyrus.Conclusions: By improving measurement, enhanced tools may provide new means for studying relationships among anxiety, brain function, and social interactions.

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confidence: 99%

Advancing clinical neuroscience through enhanced tools: Pediatric social anxiety as an example

et al. 2019

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“…In mother–child interactions, maternal regulation of children’s emotions is a dynamic process that involves moment-to-moment changes in observed emotion in relation to the moment-to-moment changes in regulatory strategies (Cole et al, 2017; Dennis-Tiwary, 2019; Silk, 2019; Thompson, 1994). Rather than conceptualizing emotion regulation as the overall amount of emotion observed or the regulatory strategy used, emotion regulation should be viewed as the effect of regulatory strategies on subsequent emotions (Cole , Ram, & English, 2019).…”

Section: Emotion Regulation As a Dyadic Bidirectional Processmentioning

confidence: 99%

Dynamic, bidirectional influences of children’s emotions and maternal regulatory strategies.

Chan¹,

Feng²,

Inboden³

et al. 2022

Emotion

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The current study examined temporal associations between child emotion and maternal regulatory strategies in mother-child dyads. One hundred and 30 mothers and their 5-year-old children (46.1% boys) completed a challenging puzzle task, which was videotaped. Child positive and negative emotion as well as mothers' regulatory strategies including problem solving, providing approval, and comforting, were coded on a second-by-second basis from the videos. Multilevel modeling analyses were conducted to examine how maternal behaviors at a given time predicted the within-dyad variations of child positive and negative emotion 2 seconds later, controlling for the child's own prior emotion, as well as child emotion predicting subsequent maternal behaviors 2 seconds later, controlling for mothers' prior behaviors. In all models, child sex and negative emotionality as well as maternal depressive symptoms were included as between-dyad predictors, whereas maternal race and education were included as covariates. Results suggested that maternal approval and problem solving predicted within-dyad variation in subsequent child positive emotion. Both child positive and negative emotion was predictive of the withindyad variation in mothers' subsequent use of strategies. Maternal depressive symptoms moderated the relations between prior and subsequent strategy uses for all three maternal behaviors. Our findings indicated that child emotion regulates, and is regulated by, maternal regulatory strategies.

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“…Researchers may restrict assessment to the context of a recent stressor (e.g., discrimination experiences, Livingston et al, 2017) or ask about regulation without a specific stressor context (Daniel et al, 2019). Research using EMA has also highlighted the importance of the social context-or how engaging in regulation with another person, including caregivers or peers, may influence psychological outcomes (Silk, 2019;Waller et al, 2014). For example, to directly test the influence of social context, Aldrich and colleagues (2019) conducted an EMA study in a sample of adolescents and measured corumination, or how often youths engage in excessive discussions of problems with others.…”

Section: Ecological Momentary Assessmentmentioning

confidence: 99%

Digital Technologies for Emotion-Regulation Assessment and Intervention: A Conceptual Review

Bettis

Burke

Nesi

et al. 2021

Clinical Psychological Science

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The ability to regulate emotions in response to stress is central to healthy development. Whereas early research in emotion regulation predominantly employed static, self-report measurement, the past decade has seen a shift in focus toward understanding the dynamic nature of regulation processes. This is reflected in recent refinements in the definition of emotion regulation that emphasize the importance of the ability to flexibly adapt regulation efforts across contexts. The latest proliferation of digital technologies employed in mental health research offers the opportunity to capture the state- and context-sensitive nature of emotion regulation. In this conceptual review, we examine the use of digital technologies (ecological momentary assessment; wearable and smartphone technology, physical activity, acoustic data, visual data, and geo-location; smart-home technology; virtual reality; social media) in the assessment of emotion regulation and describe their application to interventions. We also discuss challenges and ethical considerations and outline areas for future research.

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Context and dynamics: The new frontier for developmental research on emotion regulation.

Cited by 38 publications

References 37 publications

Advancing clinical neuroscience through enhanced tools: Pediatric social anxiety as an example

Advancing clinical neuroscience through enhanced tools: Pediatric social anxiety as an example

Dynamic, bidirectional influences of children’s emotions and maternal regulatory strategies.

Digital Technologies for Emotion-Regulation Assessment and Intervention: A Conceptual Review

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