La relación entre el distrés psicológico derivado del COVID-19 y la aversión a las pérdidas es modulada por el rasgo de alexitimia

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Publicado: Apr 25, 2023
Actualizado: 2023-04-25
Versiones:
2023-04-25 (5)
DOI: https://doi.org/10.17163/ret.n25.2023.03
Palabras clave:
toma de decisiones, sesgo cognitivo, aversión a las pérdidas, alexitimia, distrés psicológico, COVID-19, confinamiento , estrés

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Francisco Molins
https://orcid.org/0000-0002-0211-9182
Miguel Angel Serrano
https://orcid.org/0000-0002-6574-4532

Resumen

Los estudios sobre estrés y toma de decisiones suelen abordar estresores agudos y artificiales. Sin embargo, el brote de COVID-19 creó el escenario perfecto para abordar cómo la toma de decisiones, y específicamente la aversión a las pérdidas, podría verse afectada porun estresor real y persistente, capaz de promover un distrés psicológico significativo. Paralelamente, la alexitimia ha sido identificada como un potencial moderador de la expresión de la aversión a las pérdidas, ya que podría perjudicar la incorporación de información emocional a la hora de decidir, conduciendo a decisiones “frías”. Mediante un diseño intrasujeto (N = 70), nuestro objetivo fue estudiar la relación entre el malestar psicológico derivado del contexto pandémico y los cambios en la aversión a las pérdidas, considerando la alexitimia como factor moderador. Nuestros resultados muestran un incremento significativo tanto del malestar psicológico como de la aversión a las pérdidas, tan solo un mes después del inicio del confinamiento. Además, ambas variables se asociaron positivamente solamente cuando la alexitimia era baja; es decir, la alexitimia amortiguaba el efecto del distrés psicológico en la toma de decisiones: cuanto mayor era la alexitimia, menor era el aumento de la aversión a las pérdidas.
 

Detalles del artículo

Número
Vol. 13 Núm. 25 (2023): (abril-septiembre)
Sección
Artículos destinados al monográfico
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Referencias

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

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

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

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

Camerer, C. F. (2003). Behavioral game theory: Plausible formal models that predict accurately. Behavioral and Brain Sciences, 26(2), 157-158.

Gachter, S., Johnson, E. y Herrmann, A. (2007). Individual-level loss aversion in riskless and risky choices. CeDEx Discussion Paper Series, (2010-20), 1-26.

Gal, D., y Rucker, D. D. (2018). The loss of loss aversion: will it loom larger than its gain? Journal of Consumer Psychology, 28(3), 497-516. https://doi.org/10.1002/jcpy.1047

Gigerenzer, G. y Gaissmaier, W. (2011). Heuristic decision making. Annual Review of Psychology, 62, 451-482. https://doi.org/10.1146/annurev-psych-120709-145346

Gnambs, T. y Staufenbiel, T. (2018). The structure of the General Health Questionnaire (GHQ-12): two meta-analytic factor analyses. Health Psychology Review, 12(2), 179-194. https://doi.org/10.1080/17437199.2018.1426484

Goldberg, D. P., Oldehinkel, T. y Ormel, J. (1998). Why GHQ threshold varies from one place to another. Psychological Medicine, 28(4), 915-921. https://doi.org/10.1017/S0033291798006874

Goldberg, D. P. y Williams, P. (1988). A users guide to the General Health Questionnaire. nferNelson.

Hadlaczky, G., Hokby, S., Mkrtchian, A., Wasserman, D., Balazs, J., Machín, N., Sarchapione, M., Sisask, M. y Carli, V. (2018). Decision-making in suicidal behavior: The protective role of loss aversion. Frontiers in Psychiatry, 9,1-9. https://doi.org/10.3389/fpsyt.2018.00116

Hermans, E. J., Henckens, M. J. A. G., Joels, M. y Fernández, G. (2014). Dynamic adaptation of large-scale brain networks in response to acute stressors. Trends in Neurosciences, 37(6), 304-314. https://doi.org/10.1016/j.tins.2014.03.006

Hermans, E. J., Van Marle, H. J. F., Ossewaarde, L., Henckens, M. J. A. G., Qin, S., Van Kesteren, M. T. R., Schoots, V., Cousijn, H., Rijpkema, M., Oostenveld, R. y Fernández, G. (2011). Stress-related noradrenergic activity prompts large-scale neural network reconfiguration. Science, 334(6059), 1151-1153. https://doi.org/10.1126/science.1209603

Hidalgo, V., Pulopulos, M. M. y Salvador, A. (2019). Acute psychosocial stress effects on memory performance: Relevance of age and sex. Neurobiology of Learning and Memory, 157 48-60. https://doi.org/10.1016/j.nlm.2018.11.013

Hintze, A., Olson, R. S., Adami, C. y Hertwig, R. (2015). Risk sensitivity as an evolutionary adaptation. Scientific Reports, 5, 1-7. https://doi.org/10.1038/srep08242

Ingram, J., Maciejewski, G. y Hand, C. J. (2020). Changes in diet, sleep, and physical activity are associated with differences in negative mood during COVID-19 lockdown. Frontiers in Psychology, 11, 2328. https://doi.org/10.3389/FPSYG.2020.588604/BIBTEX

Iwasaki, K. y Sawada, Y. (2015). Evacuation and psychological distress: new evidence of reference-dependent utility and loss aversion, abef, 8, 77-80. https://doi.org/10.11167/JBEF.8.77

Kahneman, D. (2003). Maps of bounded rationality: Psychology for behavioral economics. American Economic Review, 93(5), 1449-1475. https://doi.org/10.1257/000282803322655392

Kahneman, D., Knetsch, J. L. y Thaler, R. H. (1991). Anomalies: The endowment effect, loss aversion, and status quo bias. Journal of Economic Perspectives, 5(1), 193-206. https://doi.org/10.1017/CBO9780511803475.009

Kahneman, D. y Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263-291. https://doi.org/10.1017/CBO9780511803475.003

Kano, M., Ito, M. y Fukudo, S. (2011). Neural substrates of decision making as measured with the iowa gambling task in men with alexithymia. Psychosomatic Medicine, 73(7), 588-597. https://doi.org/10.1097/PSY.0b013e318223c7f8

Klumpp, H., Angstadt, M. y Phan, K. L. (2012). Insula reactivity and connectivity to anterior cingulate cortex when processing threat in generalized social anxiety disorder. Biological Psychology, 89(1), 273-276. https://doi.org/10.1016/j.biopsycho.2011.10.010

Laeger, I., Dobel, C., Dannlowski, U., Kugel, H., Grotegerd, D., Kissler, J., Keuper, K., Eden, A., Zwitserlood, P. y Zwanzger, P. (2012). Amygdala responsiveness to emotional words is modulated by subclinical anxiety and depression. Behavioural Brain Research, 233(2), 508-516. https://doi.org/10.1016/j.bbr.2012.05.036

Lakhan, R., Agrawal, A. y Sharma, M. (2020). Prevalence of Depression, Anxiety, and Stress during COVID-19 Pandemic. Journal of Neurosciences in Rural Practice, 11(4), 519-525. https://doi.org/10.1055/S-0040-1716442/ID/JR_40

Liang, L., Ren, H., Cao, R., Hu, Y., Qin, Z., Li, C. y Mei, S. (2020). The effect of COVID-19 on youth mental health. Psychiatric Quarterly, 91(3), 841-852. https://doi.org/10.1007/S11126-020-09744-3/TABLES/5

Liu, N., Zhang, F., Wei, C., Jia, Y., Shang, Z., Sun, L., Wu, L., Sun, Z, Zhou, Y., Wang, Y. y Liu, W. (2020). Prevalence and predictors of PTSS during COVID-19 outbreak in China hardest-hit areas: Gender differences matter. Psychiatry Research, 287, 112921. https://doi.org/10.1016/j.psychres.2020.112921

Mahase, E. (2020). China coronavirus: WHO declares international emergency as death toll exceeds 200. BMJ (Clinical Research Ed.), 368(January), m408. https://doi.org/10.1136/bmj.m408

Manzoor, N., Molins, F. y Serrano, M. Á. (2021). Interoception moderates the relation between alexithymia and risky-choices in a framing task: A proposal of two-stage model of decision-making. International Journal of Psychophysiology, 162, 1-7. https://doi.org/10.1016/j.ijpsycho.2021.01.002

Margittai, Z., Nave, G., Van Wingerden, M., Schnitzler, A., Schwabe, L. y Kalenscher, T. (2018). Combined effects of glucocorticoid and noradrenergic activity on loss aversion. neuropsychopharmacology official publication of the American College of Neuropsychopharmacology, 43(2), 334-341. https://doi.org/10.1038/npp.2017.75

Martínez, F. (1996). Adaptación española de la escala de Alexitimia de Toronto (TAS-20). Clínica y Salud, 7(1), 19-32. http://bit.ly/3JdlbdEv

Mather, M. y Lighthall, N. R. (2012). Risk and reward are processed differently in decisions made under stress. Current Directions in Psychological Science, 21(1), 36-41. https://doi.org/10.1177/0963721411429452

Metz, S., Waiblinger-Grigull, T., Schulreich, S., Chae, W. R., Otte, C., Heekeren, H. R. y Wingenfeld, K. (2020). Effects of hydrocortisone and yohimbine on decision-making under risk. Psychoneuroendocrinology, 114,104589. https://doi.org/10.1016/j.psyneuen.2020.104589

Moccia, L., Janiri, D., Pepe, M., Dattoli, L., Molinaro, M., De Martin, V., Chieffo, D., Janiri, L., Fiorillo, A., Sani, G. y Di Nicola, M. (2020). Affective temperament, attachment style, and the psychological impact of the COVID-19 outbreak: an early report on the Italian general population. Brain, Behavior, and Immunity, 87, 75-79. https://doi.org/10.1016/j.bbi.2020.04.048

Molins, F., Ayuso, C. y Serrano, M. Á. (2021). Emotional stress & decision-making: an emotional stressor significantly reduces loss aversion. Stress, 24(6), 780-786. https://doi.org/10.1080/10253890.2021.1919617

Montoya, A. K. (2019). Moderation analysis in two-instance repeated measures designs: Probing methods and multiple moderator models. Behavior Research Methods, 51(1), 61-82. https://doi.org/10.3758/s13428-018-1088-6

Mrkva, K., Johnson, E. J., Gachter, S. y Herrmann, A. (2020). Moderating loss aversion: loss aversion has moderators, but reports of its death are greatly exaggerated. Journal of Consumer Psychology, 30(3), 407-428. https://doi.org/10.1002/JCPY.1156

Patwardhan, I., Mason, W. A., Chmelka, M. B., Savolainen, J., Miettunen, J. y Jarvelin, M. R. (2019). Prospective relations between alexithymia, substance use and depression: findings from a National Birth Cohort. Nordic Journal of Psychiatry, 73(6), 340-348. https://doi.org/10.1080/08039488.2019.1634758

Pierce, M., Hope, H., Ford, T., Hatch, S., Hotopf, M., John, A., Kontopantelis, E., Webb, R., Wessely, S., McManius, S. y Abel, K. M. (2020). Mental health before and during the COVID-19 pandemic: a longitudinal probability sample survey of the UK population. The Lancet Psychiatry, 7(10), 883-892. https://doi.org/10.1016/S2215-0366(20)30308-4

Pighin, S., Bonini, N., Savadori, L., Hadjichristidis, C. y Schena, F. (2014). Loss aversion and hypoxia: Less loss aversion in oxygen-depleted environment. Stress, 17(2), 204-210. https://doi.org/10.3109/10253890.2014.891103

Presti, S. Lo, Mattavelli, G., Canessa, N. y Gianelli, C. (2022). Risk perception and behaviour during the COVID-19 pandemic: Predicting variables of compliance with lockdown measures. PLOS ONE, 17(1), e0262319. https://doi.org/10.1371/JOURNAL.PONE.0262319

Pushkarskaya, H., Tolin, D., Ruderman, L., Henick, D., Kelly, J. M. L., Pittenger, C. y Levy, I. (2017). Value-based decision making under uncertainty in hoarding and obsessive- compulsive disorders. Psychiatry Research, 258, 305-315. https://doi.org/10.1016/j.psychres.2017.08.058

Puustinen, P. J., Koponen, H. y Kautiainen, H. (2011). Psychological distress measured by the GHQ-12 and mortality: A prospective population-based study. Scandinavian Journal of Public Health, 39, 577-581. https://doi.org/10.1177/1403494811414244

Rocha, K. B., Pérez, K., Rodríguez-Sanz, M., Borrell, C. y Obiols, J. E. (2011). Propiedades psicométricas y valores normativos del general health questionnaire (GHQ-12) en población general española. International Journal of Clinical and Health Psychology, 11(1), 125-139. https://bit.ly/3mQnr37

Salari, N., Hosseinian-Far, A., Jalali, R., Vaisi-Raygani, A., Rasoulpoor, S., Mohammadi, M., Khaledi-Paveh, B. (2020). Prevalence of stress, anxiety, depression among the general population during the COVID-19 pandemic: A systematic review and meta-analysis. Globalization and Health, 16(1), 1-11. https://doi.org/10.1186/s12992-020-00589-w

Shah, P., Catmur, C. y Bird, G. (2016). Emotional decision-making in autism spectrum disorder: the roles of interoception and alexithymia. Molecular Autism, 7, 43. https://doi.org/10.1186/s13229-016-0104-x

Shuja, K. H., Aqeel, M., Jaffar, A. y Ahmed, A. (2020). Covid-19 pandemic and impending global mental health implications. Psychiatria Danubina, 32(1), 32-35. https://doi.org/10.24869/psyd.2020.32

Sip, K. E., Gonzalez, R., Taylor, S. F., & Stern, E. R. (2018). Increased loss aversion in unmedicated patients with obsessive-compulsive disorder. Frontiers in Psychiatry, 8, 1-10. https://doi.org/10.3389/fpsyt.2017.00309

Sokol-Hessner, P., Raio, C. M., Gottesman, S. P., Lackovic, S. F. y Phelps, E. A. (2016). Acute stress does not affect risky monetary decision-making. Neurobiology of Stress, 5, 19-25. https://doi.org/10.1016/j.ynstr.2016.10.003

Sokol-Hessner, P. y Rutledge, R. B. (2019). The psychological and neural basis of loss aversion. Current Directions in Psychological Science, 28(1), 20-27. https://doi.org/10.1177/0963721418806510

Stancak, A., Xie, Y., Fallon, N., Bulsing, P., Giesbrecht, T., Thomas, A. y Pantelous, A. A. (2015). Unpleasant odors increase aversion to monetary losses. Biological Psychology, 107, 1-9. https://doi.org/10.1016/j.biopsycho.2015.02.006

Starcke, K. y Brand, M. (2012). Decision making under stress: A selective review. Neuroscience and Biobehavioral Reviews, 36(4), 1228-1248. https://doi.org/10.1016/j.neubiorev.2012.02.003

Starcke, K. y Brand, M. (2016). Effects of stress on decisions under uncertainty: A meta-analysis. Psychological Bulletin, 142(9), 909-933. https://doi.org/10.1037/bul0000060

Stein, M. B., Simmons, A. N., Feinstein, J. S. y Paulus, M. P. (2007). Increased amygdala and insula activation during emotion processing in anxiety-prone subjects. American Journal of Psychiatry, 164, 318-327.

Sutherland, M. T., Carroll, A. J., Salmeron, B. J., Ross, T. J. y Stein, E. A. (2013). Insulas functional connectivity with ventromedial prefrontal cortex mediates the impact of trait alexithymia on state tobacco craving. Psychopharmacology, 228(1), 143-155. https://doi.org/10.1007/s00213-013-3018-8

Volz, K. G. y Gigerenzer, G. (2012). Cognitive processes in decisions under risk are not the same as in decisions under uncertainty. Frontiers in Neuroscience, 6, 1-6. https://doi.org/10.3389/fnins.2012.00105

Walker, S., OConnor, D. B. y Schaefer, A. (2011). Brain potentials to emotional pictures are modulated by alexithymia during emotion regulation. Cognitive, Affective and Behavioral Neuroscience, 11(4), 463-475. https://doi.org/10.3758/s13415-011-0042-1

Wang, M., Rieger, M. O. y Hens, T. (2017). The Impact of Culture on Loss Aversion. Journal of Behavioral Decision Making, 30(2), 270-281. https://doi.org/10.1002/bdm.1941

Ward, G., Collins, H., Norton, M. I. y Whillans, A. V. (2020). Work values shape the relationship between stress and (un) happiness. Harvard Business School.

Zhang, L., Wang, X., Zhu, Y., Li, H., Zhu, C., Yu, F. y Wang, K. (2017). Selective impairment of decision making under ambiguity in alexithymia. BMC Psychiatry, 17(1), 1-8. https://doi.org/10.1186/s12888-017-1537-2