Illness perceptions in long-COVID: A cross-sectional analysis in adults

References

• American Psychiatric Association. (2013). Anxiety disorders. Diagnostic and Statistical Manual of Mental Disorders. https://doi.org/10.1176/appi.books.9780890425596.dsm05.
   Google Scholar
• Broadbent, E., Petrie, K. J., Main, J., & Weinman, J. (2006). The brief illness perception questionnaire. Journal of Psychosomatic Research, 60(6), 631–13. https://doi.org/10.1016/j.jpsychores.2005.10.020
   PubMed Web of Science ®Google Scholar
• Broadbent, E., Schoones, J. W., Tiemensma, J., & Kaptein, A. A. (2019). A systematic review of patients’ drawing of illness: Implications for research using the common sense model. Health Psychology Review, 13(4), 406–426. https://doi.org/10.1080/17437199.2018.1558088
   PubMed Web of Science ®Google Scholar
• Bültmann, U., de Vries, M., Beurskens, A. J., Bleijenberg, G., Vercoulen, J. H., & Kant, I. (2000). Measurement of prolonged fatigue in the working population: Determination of a cutoff point for the checklist individual strength. Journal of Occupational Health Psychology, 5(4), 411–416. https://doi.org/10.1037//1076-8998.5.4.411
   PubMedGoogle Scholar
• Cha, C., & Baek, G. (2021). Symptoms and management of long COVID: A scoping review. Journal of Clinical Nursing. 1– 18. https://doi.org/10.1111/jocn.16150
   Google Scholar
• Chen, C., Haupert, S. R., Zimmermann, L., Shi, X., Fritsche, L. G., & Mukherjee, B. (2022). Global prevalence of post COVID-19 condition or long COVID: A meta-analysis and systematic review. The Journal of Infectious Diseases. Advance online publication. https://doi.org/10.1093/infdis/jiac136
   Google Scholar
• Cohen, J. (1988). Statistical power analysis for the behavioral sciences. L. Erlbaum Associates.
   Google Scholar
• Cope, H., Mann, A., David, A., & Pelosi, A. (1994). Predictors of chronic “postviral” fatigue. The Lancet, 344(8926), 864–868. https://doi.org/10.1016/S0140-6736(94)92833-9
   PubMed Web of Science ®Google Scholar
• Dempster, M., Howell, D., & McCorry, N. K. (2015). Illness perceptions and coping in physical health conditions: A meta-analysis. Journal of Psychosomatic Research, 79(6), 506–513. https://doi.org/10.1016/j.jpsychores.2015.10.006
   PubMed Web of Science ®Google Scholar
• Dong, E., Du, H., & Gardner, L. (2020). An interactive web-based dashboard to track COVID-19 in real time. The Lancet Infectious Diseases, 20(5), 533–534. https://doi.org/10.1016/S1473-3099(20)30120-1
   PubMed Web of Science ®Google Scholar
• Ellul, M. A., Benjamin, L., Singh, B., Lant, S., Michael, B. D., Easton, A., Kneen, R., Defres, S., Sejvar, J., & Solomon, T. (2020). Neurological associations of COVID-19. The Lancet Neurology, 19(9), 767–783. https://doi.org/10.1016/S1474-4422(20)30221-0
   PubMed Web of Science ®Google Scholar
• Faul, F., Erdfelder, E., Lang, A. G., & Buchner, A. (2007, May). Gpower 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175–191. https://doi.org/10.3758/BF03193146
   PubMed Web of Science ®Google Scholar
• Fukuda, K., Straus, S. E., Hickie, I., Sharpe, M. C., Dobbins, J. G., & Komaroff, A. (1994). The chronic fatigue syndrome: A comprehensive approach to its definition and study. International chronic fatigue syndrome study group. Annals of Internal Medicine, 121(12), 953–959. https://doi.org/10.7326/0003-4819-121-12-199412150-00009
   PubMed Web of Science ®Google Scholar
• Glattacker, M., Bengel, J., & Jäckel, W. H. (2009). Die deutschsprachige version des illness perception questionnaire-revised. Zeitschrift Fur Gesundheitspsychologie, 17(4), 158–169. https://doi.org/10.1026/0943-8149.17.4.158
   Google Scholar
• Hagger, M. S., & Orbell, S. (2003). A meta-analytic review of the common-sense model of illness representations. Psychology & Health, 18(2), 141–184. https://doi.org/10.1080/088704403100081321
   Web of Science ®Google Scholar
• Hagger, M. S., Koch, S., Chatzisarantis, N. L. D., & Orbell, S. (2017). The common sense model of self-regulation: Meta-analysis and test of a process model. Psychological Bulletin, 143(11), 1117–1154. https://doi.org/10.1037/bul0000118
   PubMed Web of Science ®Google Scholar
• Hagger, M. S., & Orbell, S. (2021). The common sense model of illness self-regulation: A conceptual review and proposed extended model. Health Psychology Review, 1–31. https://doi.org/10.1080/17437199.2021.1878050
   Web of Science ®Google Scholar
• Herrmann-Lingen, C., Buss, U., & Snaith, P. R. (2011). Hads-D: Hospital anxiety and depression scale: Deutsche version. Huber.
   Google Scholar
• IBM Corp. (2020). IBM SPSS statistics for windows (version 27.0) [Computer software]. Armonk, NY.
   Google Scholar
• Kingstone, T., Taylor, A. K., O’Donnell, C. A., Atherton, H., Blane, D. N., & Chew-Graham, C. A. (2020). Finding the ‘right’ GP: A qualitative study of the experiences of people with long-COVID. BJGP Open, 4(5), bjgpopen20X101143. https://doi.org/10.3399/bjgpopen20X101143
   Google Scholar
• Kirsch, I. (1985). Response expectancy as a determinant of experience and behavior. The American Psychologist, 40(11), 1189–1202. https://doi.org/10.1037/0003-066X.40.11.1189
   Web of Science ®Google Scholar
• Komaroff, A. L., & Bateman, L. (2020). Will COVID-19 lead to myalgic encephalomyelitis/chronic fatigue syndrome? Frontiers in Medicine, 7, 606824. https://doi.org/10.3389/fmed.2020.606824
   PubMed Web of Science ®Google Scholar
• Leventhal, H., Nerenz, D. R., & Steele, D. J. (1984). Handbook of psychology and health: Social psychological aspects of health. In A. Baum, A. Baum, & A. Baum Eds., Handbook of Psychology and Health, Volume IV: Social Psychological Aspects of Health, Erlbaum, Hillsdale, NJ, (Vol. 4, pp. 219–252).
   Google Scholar
• McAndrew, L. M., Crede, M., Maestro, K., Slotkin, S., Kimber, J., & Phillips, L. A. (2019). Using the common-sense model to understand health outcomes for medically unexplained symptoms: A meta-analysis. Health Psychology Review, 13(4), 427–446. https://doi.org/10.1080/17437199.2018.1521730
   PubMed Web of Science ®Google Scholar
• Morgan, K., Villiers-Tuthill, A., Barker, M., & McGee, H. (2014). The contribution of illness perception to psychological distress in heart failure patients. BMC Psychology, 2(1), 50. https://doi.org/10.1186/s40359-014-0050-3
   PubMedGoogle Scholar
• Moss-Morris, R., Weinman, J., Petrie, K., Horne, R., Cameron, L., & Buick, D. (2002). The revised illness perception questionnaire (IPQ-R). Psychology & Health, 17(1), 1–16. https://doi.org/10.1080/08870440290001494
   Web of Science ®Google Scholar
• Nalbandian, A., Sehgal, K., Gupta, A., Madhavan, M. V., McGroder, C., Stevens, J. S., Cook, J. R., Nordvig, A. S., Shalev, D., Sehrawat, T. S., Ahluwalia, N., Bikdeli, B., Dietz, D., Der-Nigoghossian, C., Liyanage-Don, N., Rosner, G. F., Bernstein, E. J., Mohan, S., Beckley, A. A., & Wan, E. Y. (2021). Post-acute COVID-19 syndrome. Nature Medicine, 27(4), 601–615. https://doi.org/10.1038/s41591-021-01283-z
   PubMed Web of Science ®Google Scholar
• Petrie, K. J., & Rief, W. (2019). Psychobiological mechanisms of placebo and nocebo effects: Pathways to improve treatments and reduce side effects. Annual Review of Psychology, 70(1), 599–625. https://doi.org/10.1146/annurev-psych-010418-102907
   PubMed Web of Science ®Google Scholar
• Poenaru, S., Abdallah, S. J., Corrales-Medina, V., & Cowan, J. (2021). Covid-19 and post-infectious myalgic encephalomyelitis/chronic fatigue syndrome: A narrative review. Therapeutic Advances in Infectious Disease, 8, 20499361211009385. https://doi.org/10.1177/20499361211009385
   Web of Science ®Google Scholar
• R Core Team. (2018). R: A language and environment for statistical computing [computer software]. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org
   Google Scholar
• Rao, S., Benzouak, T., Gunpat, S., Burns, R. J., Tahir, T. A., Jolles, S., & Kisely, S. (2022). Fatigue symptoms associated with COVID-19 in convalescent or recovered COVID-19 patients; a systematic review and meta-analysis. Annals of Behavioral Medicine: A Publication of the Society of Behavioral Medicine, 56(3), 219–234. https://doi.org/10.1093/abm/kaab081
   PubMed Web of Science ®Google Scholar
• Rodrigues, M., Costa, A. J., Santos, R., Diogo, P., Gonçalves, E., Barroso, D., Almeida, M. P., Vaz, I. M., & Lima, A. (2022). Inpatient rehabilitation can improve functional outcomes of post-intensive care unit COVID-19 patients-a prospective study. Disability and Rehabilitation, 1–11. https://doi.org/10.1080/09638288.2022.2032408
   Google Scholar
• Sykes, D. L., Holdsworth, L., Jawad, N., Gunasekera, P., Morice, A. H., & Crooks, M. G. (2021). Post-COVID-19 symptom burden: What is long-COVID and how should we manage it? Lung, 199(2), 113–119. https://doi.org/10.1007/s00408-021-00423-z
   PubMed Web of Science ®Google Scholar
• Townsend, L., Dyer, A. H., Jones, K., Dunne, J., Mooney, A., Gaffney, F., O’Connor, L., Leavy, D., O’Brien, K., Dowds, J., Sugrue, J. A., Hopkins, D., Martin-Loeches, I., Ni Cheallaigh, C., Nadarajan, P., McLaughlin, A. M., Bourke, N. M., Bergin, C., O’Farrelly, C., & Conlon, N. (2020). Persistent fatigue following SARS-CoV-2 infection is common and independent of severity of initial infection. PloS One, 15(11), e0240784. https://doi.org/10.1371/journal.pone.0240784
   PubMed Web of Science ®Google Scholar
• Vercoulen, J. H., Swanink, C. M., Fennis, J. F., Galama, J. M., van der Meer, J. W., & Bleijenberg, G. (1994). Dimensional assessment of chronic fatigue syndrome. Journal of Psychosomatic Research, 38(5), 383–392. https://doi.org/10.1016/0022-3999(94)90099-X
   PubMed Web of Science ®Google Scholar
• Vögtle, E., Barke, A., & Kröner-Herwig, B. (2013). Nocebo hyperalgesia induced by social observational learning. Pain, 154(8), 1427–1433. https://doi.org/10.1016/j.pain.2013.04.041
   PubMed Web of Science ®Google Scholar
• Ware, J., Kosinski, M., & Keller, S. D. (1996). A 12-item short-form health survey: Construction of scales and preliminary tests of reliability and validity. Medical Care, 34(3), 220–233. https://doi.org/10.1097/00005650-199603000-00003
   PubMed Web of Science ®Google Scholar
• WHO. (2021). A clinical case definition of post COVID-19 condition by a Delphi consensus [ WHO/2019-nCoV/Post_COVID-19_condition/Clinical_case_definition/2021.1]. https://apps.who.int/iris/rest/bitstreams/1376291/retrieve
   Google Scholar
• Wu, Y., Levis, B., Sun, Y., He, C., Krishnan, A., Neupane, D., Bhandari, P. M., Negeri, Z., Benedetti, A., & Thombs, B. D. (2021). Accuracy of the hospital anxiety and depression scale depression subscale (Hads-D) to screen for major depression: Systematic review and individual participant data meta-analysis. BMJ (Clinical Research Ed.), 373(972). https://doi.org/10.1136/bmj.n972
   Google Scholar
• York, R. (2018). Control variables and causal inference: A question of balance. International Journal of Social Research Methodology, 21(6), 675–684. https://doi.org/10.1080/13645579.2018.1468730
   Web of Science ®Google Scholar