Spontaneous emotional regulation under experimental emotional condition: The role of working memory.
emotion
emotional regulation
working memory
Journal
PsyCh journal
ISSN: 2046-0260
Titre abrégé: Psych J
Pays: Australia
ID NLM: 101598595
Informations de publication
Date de publication:
Dec 2023
Dec 2023
Historique:
received:
25
04
2023
accepted:
30
07
2023
medline:
5
12
2023
pubmed:
8
9
2023
entrez:
8
9
2023
Statut:
ppublish
Résumé
The present research studied the bidirectional effects of working memory (WM) capacity and emotional regulation; that is, the effect of WM capacity on spontaneous emotional regulation and whether the emotional valence to be regulated has a differential impact on performance in a second WM task. Participants (79) first completed a WM span task (Digit Span), then a self-report emotional intelligence task, which was followed by randomly assigned mock Positive-feedback, Negative-feedback, or No-feedback. In the Negative-feedback and Positive-feedback conditions, a dummy report based on participants' responses to the Trait Meta Mood- 21 was shown on the screen. After that, participants completed another WM task (Running Span). An ordinary least squares multiple linear regression was used to evaluate the predictive power of WM span and experimental condition on post-feedback test performance. The model yielded a significant effect on post-feedback test performance for Negative-feedback and a marginal significant effect for the interaction of this parameter with WM span. The results showed that participants in the Negative-feedback condition performed worse than those assigned to other conditions, and individuals with a higher WM capacity were less susceptible to negative experimental stimuli.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
838-843Subventions
Organisme : CONICET
ID : RESOL-2022-1930-APN-DIR#CONICET (PIBAA)
Organisme : FONCYT
ID : RESOL-2023-31-APN-DANPIDTYI#ANPIDTYI (PICT-2021)
Informations de copyright
© 2023 The Authors. PsyCh Journal published by Institute of Psychology, Chinese Academy of Sciences and John Wiley & Sons Australia, Ltd.
Références
Baddeley, A. D. (2017). Exploring working memory: Selected works of Alan Baddeley. Routledge.
Baddeley, A. D., Hitch, G. J., & Allen, R. (2020). A multicomponent model of working memory. In R. H. Logie, V. Camos, & N. Cowan (Eds.), Working memory: State of the science (pp. 10-43). Oxford University Press.
Barreyro, J. P., Injoque-Ricle, I., Formoso, J., & Burin, D. I. (2019). Computerized working memory battery (BIMeT-V): Studying the relation between working memory, verbal reasoning and Reading comprehension. Trends in Psychology, 1(27), 53-67. https://doi.org/10.9788/tp2019.1-05
Bates, D. M., Machler, M., Bolker, B. M., & Walker, S. C. (2014). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67(1), 1-48. https://doi.org/10.18637/JSS.V067.I01
Calero, A. D. (2013). Versión Argentina de la Trait Meta Mood Scale (TMMS) para adolescentes: Una medida de la inteligencia emocional percibida. Panamerican Journal of Neuropshychology, 7(1), 104-119. https://doi.org/10.7714/cnps/7.1.206
Champely, S., Ekstrom, C., Dalgaard, P., Gill, J., Weibelzahl, S., Anandkumar, A., Ford, C., Volcic, R., & De Rosario, H. (2020). pwr: Basic functions for power analysis (Version 1.3-0). NYU Scholars.
Coifman, K. G., Kane, M. J., Bishop, M., Matt, L. M., Nylocks, K. M., & Aurora, P. (2021). Predicting negative affect variability and spontaneous emotion regulation: Can working memory span tasks estimate emotion regulatory capacity? Emotion, 21(2), 297-314. https://doi.org/10.1037/emo0000585
Curci, A., Lanciano, T., Soleti, E., & Rimé, B. (2013). Negative emotional experiences arouse rumination and affect working memory capacity. Emotion, 13(5), 867-880. https://doi.org/10.1037/a0032492
Doré, B. P., Silvers, J. A., & Ochsner, K. N. (2016). Toward a personalized science of emotion regulation. Social and Personality Psychology Compass, 10(4), 171-187. https://doi.org/10.1111/spc3.12240
Ferrell, E. L., Watford, T. S., & Braden, A. (2020). Emotion regulation difficulties and impaired working memory interact to predict boredom emotional eating. Appetite, 144, 104450. https://doi.org/10.1016/j.appet.2019.104450
Gross, J. J. (1998). The emerging field of emotion regulation: An integrative review. Review of General Psychology, 2(3), 271-279. https://doi.org/10.1037/1089-2680.2.3.271
Gross, J. J. (2002). Emotion regulation: Affective, cognitive, and social consequences. Psychophysiology, 39(3), 281-291. https://doi.org/10.1017/S0048577201393198
Hofmann, W., Schmeichel, B. J., & Baddeley, A. D. (2012). Executive functions and self-regulation. Trends in Cognitive Sciences, 16(3), 174-180. https://doi.org/10.1016/j.tics.2012.01.006
Jasielska, A., Kaczmarek, L., Brońska, A., Dominiak, M., Niemier, K., Patalas, D., Sokołowski, A., & Tomczak, M. (2019). The relationship between working memory and emotion regulation strategies. Roczniki Psychologiczne, 18(4), 567-578. https://doi.org/10.18290/rpsych.2015.18.4-4en
McRae, K., Jacobs, S. E., Ray, R. D., John, O. P., & Gross, J. J. (2012). Individual differences in reappraisal ability: Links to reappraisal frequency, well-being, and cognitive control. Journal of Research in Personality, 46(1), 2-7. https://doi.org/10.1016/j.jrp.2011.10.003
Pe, M. L., Koval, P., Houben, M., Erbas, Y., Champagne, D., & Kuppens, P. (2015). Updating in working memory predicts greater emotion reactivity to and facilitated recovery from negative emotion-eliciting stimuli. Frontiers in Psychology, 6, 372. https://doi.org/10.3389/fpsyg.2015.00372
Pe, M. L., Raes, F., & Kuppens, P. (2013). The cognitive building blocks of emotion regulation: Ability to update working memory moderates the efficacy of rumination and reappraisal on emotion. PLoS One, 8(7), e69071. https://doi.org/10.1371/journal.pone.0069071
Pérez-Sánchez, J., Delgado, A. R., & Prieto, G. (2020). Análisis de los instrumentos empleados en la investigación empírica de la regulación emocional. Panamerican Journal of Neuropsychology, 14(1), 165-174. https://doi.org/10.7714/CNPS/14.1.21
R Core Team. (2022). R: A language and environment for statistical computing, Version 4.1. 3. R Foundation for Statistical Computing.
Rutherford, H. J., Booth, C. R., Crowley, M. J., & Mayes, L. C. (2016). Investigating the relationship between working memory and emotion regulation in mothers. Journal of Cognitive Psychology, 28(1), 52-59. https://doi.org/10.1080/20445911.2015.1075542
Schmeichel, B. J., & Demaree, H. A. (2010). Working memory capacity and spontaneous emotion regulation: High capacity predicts self-enhancement in response to negative feedback. Emotion, 10(5), 739-744. https://doi.org/10.1037/a0019355
Schmeichel, B. J., & Tang, D. (2015). Individual differences in executive functioning and their relationship to emotional processes and responses. Current Directions in Psychological Science, 24(2), 93-98. https://doi.org/10.1177/0963721414555178
Schmeichel, B. J., Volokhov, R. N., & Demaree, H. A. (2008). Working memory capacity and the self-regulation of emotional expression and experience. Journal of Personality and Social Psychology, 95(6), 1526-1540. https://doi.org/10.1037/a0013345
Yoon, K. L., LeMoult, J., Hamedani, A., & McCabe, R. (2018). Working memory capacity and spontaneous emotion regulation in generalised anxiety disorder. Cognition and Emotion, 32(1), 215-221. https://doi.org/10.1080/02699931.2017.1282854