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Enregistrement W6925225395 · doi:10.17605/osf.io/q8v47

The Role of Psychological Distancing in Mitigating Distress During the COVID-19 Pandemic

2021· other· en· W6925225395 sur OpenAlex

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Notice bibliographique

RevueOSF Preprints (OSF Preprints) · 2021
Typeother
Langueen
Domaine
Thématique
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPandemicMental healthCoping (psychology)Psychological interventionPsychological distressAnxietyDistressDistancing

Résumé

récupéré en direct d'OpenAlex

Strong self-isolation measures and border restrictions are necessary to reduce the spread of the novel Coronavirus COVID-19 but carry a potentially devastating psychological cost. Past viral outbreaks, such as the severe acute respiratory syndrome (SARS) outbreak, have been linked to increased mental health problems for those in self-isolation (Hawryluck et al., 2004; Reynolds et al., 2008), health care workers (Brooks et al., 2018), and those who acquire the virus (Gardner et al., 2014; Kwek et al., 2006; Mak et al., 2009). A similar increase in psychological distress has been observed in Chinese communities during the early stages of the current Covid-19 pandemic (Qiu et al., 2020). Accessible and efficacious mental health interventions are needed to minimize the pandemic’s widespread psychological impact. During SARS, differences in how people appraised the pandemic led to differences in wellbeing. Focusing on pandemic-related dysfunction was linked to higher levels of psychological distress (Cheng et al., 2006a; Cheng et al., 2004) whereas focusing on growth and coping ability was linked to lower levels of depression and anxiety (Cheng et al., 2006a; Cheng & Wong, 2005). Importantly, the healthiest people showed a balanced, decentered perspective: they considered both pandemic costs and coping opportunities, leading to greater acceptance of perceived costs (Cheng et al., 2006b; Liu et al., 2012), greater levels of well-being (Cheng et al., 2006b), and decreased risk of developing depressive symptoms (Liu et al., 2012). While ideally people would naturally take a balanced perspective on pandemic-related dysfunction, it is difficult to do so when distress promotes reacting to experiences from a self-immersed, first-person perspective (Kross & Ayduk, 2017). Conversely, psychological distancing (PD) promotes decentering, the ability to view experiences from a wider perspective (Ayduk & Kross, 2018). Greater levels of decentering may allow a person to keep track of goals and values rather than focusing entirely on the emotional stress of the situation. This perspective may facilitate decision making guided by core values and contribute to adaptive self-reflection (Ayduk & Kross, 2010; Kross & Ayduk, 2017; Kross & Ayduk, 2011; Trope & Liberman, 2010). Two forms of PD are commonly discussed: (1) self-distancing: reflecting on events from the perspective of an outside observer; and (2) temporal distancing: reflecting on events from the perspective of a different point in time (Ayduk & Kross, 2018). Despite the general efficacy of these PD strategies, it is unknown whether PD training is effective in mitigating the adverse effects of pandemic-related dysfunction. However, a large body of evidence has linked PD to greater levels of well-being (Bruehlman-Senecal et al., 2016; Ranney et al., 2017), lower levels of negative affect and rumination (Ayduk & Kross, 2018), reductions in psychological distress and avoidance (Penner et al., 2016), lower levels of depressive symptoms (Ayduk & Kross, 2018), increases in emotion regulation (Shahane & Denny, 2019), greater levels of positive affect, and enhanced meaning in life (Wang et al., 2019). Importantly, one-day of PD training implemented during the Ebola outbreak was associated with reduced worry and risk perception (Kross et al., 2017). Therefore, PD training has been found to be a promising candidate effective coping strategy, especially for those experiencing high levels of negative affect and worry (Kross et al., 2017; Naragon-Gainey & DeMarree, 2017). However, this regulation strategy has never been validated for widespread implementation in the face of a global pandemic. As such, the goal of the proposed clinical trial is to evaluate the effectiveness of online PD training for enhancing well-being during the Covid-19 pandemic. Two candidate PD strategies will be investigated: (1) self-distancing: reflecting on events from the perspective of an outside observer; and (2) temporal distancing: reflecting on events from the perspective of a different point in time (Ayduk & Kross, 2018). These two strategies will be compared against a self-immersion control condition: reflecting on events from a first-person perspective. References Ayduk, Ö., & Kross, E. (2010). From a distance: Implications of spontaneous self-distancing for adaptive self-reflection. Journal of Personality and Social Psychology: Personality Processes and Individual Differences, 98(5), 809–829. http://dx.doi.org.myaccess.library.utoronto.ca/10.1037/a0019205 Ayduk, Ö., & Kross, E. (2018). Self-distancing: Basic mechanisms and clinical implications. In The Routledge international handbook of self-control in health and well-being (pp. 364–376). Routledge/Taylor & Francis Group. Brooks, S. K., Dunn, R., Amlôt, R., Rubin, G. J., & Greenberg, N. (2018). A Systematic, Thematic Review of Social and Occupational Factors Associated With Psychological Outcomes in Healthcare Employees During an Infectious Disease Outbreak. Journal of Occupational and Environmental Medicine, 60(3), 248–257. https://doi.org/10.1097/JOM.0000000000001235 Bruehlman-Senecal, E., Ayduk, Ö., & John, O. P. (2016). Taking the long view: Implications of individual differences in temporal distancing for affect, stress reactivity, and well-being. Journal of Personality and Social Psychology, 111(4), 610–635. https://doi.org/10.1037/pspp0000103 Cheng, D. S. K. W., Chong, G. H. C., Chang, S. S. Y., Wong, C. W., Wong, C. S. Y., Wong, M. T. P., & Wong, K. C. (2006a). Adjustment to severe acute respiratory syndrome (SARS): Roles of appraisal and post-traumatic growth. Psychology & Health, 21(3), 301–317. https://doi.org/10.1080/14768320500286450 Cheng, C., Wong, W., & Tsang, K. W. (2006b). Perception of benefits and costs during SARS outbreak: An 18-month prospective study. Journal of Consulting and Clinical Psychology, 74(5), 870–879. http://dx.doi.org.myaccess.library.utoronto.ca/10.1037/0022-006X.74.5.870 Cheng, S. K. W., & Wong, C. W. (2005). Psychological intervention with sufferers from severe acute respiratory syndrome (SARS): Lessons learnt from empirical findings. Clinical Psychology & Psychotherapy, 12(1), 80–86. https://doi.org/10.1002/cpp.429 Cheng, S. K. W., Wong, C. W., Tsang, J., & Wong, K. C. (2004). Psychological distress and negative appraisals in survivors of severe acute respiratory syndrome (SARS). Psychological Medicine, 34(7), 1187–1195. http://dx.doi.org.myaccess.library.utoronto.ca/10.1017/S0033291704002272 Gardner, P. J. (20141013). Psychological impact on SARS survivors: Critical review of the English language literature. Canadian Psychology/Psychologie Canadienne; US: Educational Publishing Foundation. https://doi.org/10.1037/a0037973 Hawryluck, L., Gold, W. L., Robinson, S., Pogorski, S., Galea, S., & Styra, R. (2004). SARS Control and Psychological Effects of Quarantine, Toronto, Canada. Emerging Infectious Diseases, 10(7), 1206–1212. https://doi.org/10.3201/eid1007.030703 Kross, E., & Ayduk, O. (2017). Chapter Two - Self-Distancing: Theory, Research, and Current Directions. In J. M. Olson (Ed.), Advances in Experimental Social Psychology (Vol. 55, pp. 81–136). Academic Press. https://doi.org/10.1016/bs.aesp.2016.10.002 Kross, Ethan, & Ayduk, O. (2011). Making Meaning out of Negative Experiences by Self-Distancing. Current Directions in Psychological Science, 20(3), 187–191. https://doi.org/10.1177/0963721411408883 Kross, Ethan, Vickers, B. D., Orvell, A., Gainsburg, I., Moran, T. P., Boyer, M., Jonides, J., Moser, J., & Ayduk, O. (2017). Third-Person Self-Talk Reduces Ebola Worry and Risk Perception by Enhancing Rational Thinking. Applied Psychology. Health and Well-Being, 9(3), 387–409. https://doi.org/10.1111/aphw.12103 Kwek, S.-K., Chew, W.-M., Ong, K.-C., Ng, A. W.-K., Lee, L. S.-U., Link to external site, this link will open in a new window, Kaw, G., Leow, M. K.-S., & Link to external site, this link will open in a new window. (2006). Quality of life and psychological status in survivors of severe acute respiratory syndrome at 3 months postdischarge. Journal of Psychosomatic Research, 60(5), 513–519. http://dx.doi.org.myaccess.library.utoronto.ca/10.1016/j.jpsychores.2005.08.020 Liu, X., Kakade, M., Fuller, C. J., Fan, B., Fang, Y., Kong, J., Guan, Z., & Wu, P. (2012). Depression after exposure to stressful events: Lessons learned from the severe acute respiratory syndrome epidemic. Comprehensive Psychiatry, 53(1), 15–23. http://dx.doi.org.myaccess.library.utoronto.ca/10.1016/j.comppsych.2011.02.003 Mak, I. W. C., Chu, C. M., Pan, P. C., Yiu, M. G. C., & Chan, V. L. (2009). Long-term psychiatric morbidities among SARS survivors. General Hospital Psychiatry, 31(4), 318–326. http://dx.doi.org.myaccess.library.utoronto.ca/10.1016/j.genhosppsych.2009.03.001 Naragon-Gainey, K., & DeMarree, K. G. (2017). Decentering attenuates the associations of negative affect and positive affect with psychopathology. Clinical Psychological Science, 5(6), 1027–1047. https://doi.org/10.1177/2167702617719758 Penner, L. A., Guevarra, D. A., Harper, F. W. K., Taub, J., Phipps, S., Albrecht, T. L., & Kross, E. (2016). Self-distancing Buffers High Trait Anxious Pediatric Cancer Caregivers against Short- and Longer-term Distress. Clinical Psychological Science: A Journal of the Association for Psychological Science, 4(4), 629–640. https://doi.org/10.1177/2167702615602864 Qiu, J., Shen, B., Zhao, M., Wang, Z., Xie, B., & Xu, Y. (2020). A nationwide survey of psychological distress among Chinese people in the COVID-19 epidemic: Implications and policy recommendations. General Psychiatry, 33(2). https://doi.org/10.1136/gpsych-2020-100213 Reynolds, D. L., Garay, J. R., Deamond, S. L., Moran, M. K., Gold, W., & Styra, R. (2008). Understanding, compliance and psychological impact o

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,009
score de la tête « metaresearch » (Gemma)0,013
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Méta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,826
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0090,013
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0040,003
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,3280,173

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,024
Tête enseignante GPT0,312
Écart entre enseignants0,288 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

En bref

Citations1
Publié2021
Routes d'admission1
Résumé présentoui

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