The Role of Psychological Distancing in Mitigating Distress During the COVID-19 Pandemic
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Bibliographic record
Abstract
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
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.328 | 0.173 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it