The relationship between the psychological distress derived from COVID-19 and the loss aversion is modulated by the alexithymia trait
Author:
Molins FranciscoORCID, Serrano Miguel AngelORCID
Abstract
Studies on stress and decision-making usually address acute and artificial stressors. However, COVID-19 outbreak set the perfect scenarioto address how decision-making, and specifically loss aversion, could be affected by a real and persistent stressor, able to promote a significantpsychological distress. In parallel, alexithymia has been identified as a potential moderator of the loss aversion expression, since it could impairthe incorporation of emotional information when making a decision, leading to “cold” decisions. Through a within-subjects design (N = 70), ouraim was to study the relationship between the psychological distress caused by the pandemic context and the loss aversion changes, consideringalexithymia as a moderating factor. Our results show a significant increment in both psychological distress and loss aversion, merely one monthafter the confinement’s onset. Moreover, both variables were positively associated only when alexithymia was low, i.e., the alexithymia bufferedthe effect of psychological distress on decision-making: a higher alexithymia implied a lower loss aversion increase.
Publisher
Salesian Polytechnic University of Ecuador
Subject
Public Administration,Economics and Econometrics,Strategy and Management,Marketing,Management of Technology and Innovation,Business and International Management
Reference60 articles.
1. Alexander, L. F., Oliver, A., Burdine, L. K., Tang, Y. y Dunlop, B. W. (2017). Reported maladaptive decision-making in unipolar and bipolar depression and its change with treatment. Psychiatry Research, 257, 386-392. https://doi.org/10.1016/j.psychres.2017.08.004 2. Baek, K., Kwon, J., Chae, J. H., Chung, Y. A., Kralik, J. D., Min, J. A., Huh, H. J. J., Choi, K. M., Jang, K.-I., Lee N.-B., Kim, S., Peterson, B. S. y Jeong, J. (2017). Heightened aversion to risk and loss in depressed patients with a suicide attempt history. Scientific Reports, 7(1), 1-13. https://doi.org/10.1038/s41598-017-10541-5 3. Bishop, S. J., y Gagne, C. (2018). Anxiety, depression, and decision making: A computational perspective. Annual Review of Neuroscience, 41, 371-388. https://doi.org/10.1146/annurev-neuro-080317-062007 4. Brooks, S. K., Webster, R. K., Smith, L. E., Woodland, L., Wessely, S., Greenberg, N. y Rubin, G. J. (2020). The psychological impact of quarantine and how to reduce it: rapid review of the evidence. The Lancet, 395(10227), 912-920. https://doi.org/10.1016/S0140-6736(20)30460-8 5. Behavioral game theory: Plausible formal models that predict accurately;Camerer;Behavioral and Brain Sciences,2003
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