Long COVID-19 Enigma: Unmasking the Role of Distinctive Personality Profiles as Risk Factors.
Dana AmsterdamAviv KupershmidtAsia AvinirRon MatalonOfir OhanaOmri FederShai ShtrozbergGuy ChoshenJacob Nadav AblinOdelia ElkanaPublished in: Journal of clinical medicine (2024)
Background: The COVID-19 (Coronavirus disease 2019) pandemic has prompted extensive research into lingering effects, especially in 'Long COVID' patients. Despite exploration, contributing factors remain elusive; Objective: This study explores the potential link between distinctive personality profiles, particularly type D personality, and an increased risk of Long COVID; Methods: A retrospective cross-sectional study at Tel-Aviv Sourasky Medical Center's Post-COVID clinic analyzed data from 373 Long COVID patients through comprehensive questionnaires covering Long COVID syndrome, Fibromyalgia criteria, personality assessments, social support, and subjective evaluations of cognitive decline, health and life quality. In total, 116 out of 373 patients completed the questionnaire, yielding a 31% participation rate; Results: Cluster analysis revealed two groups, with Cluster 1 (N = 58) exhibiting Type D personality traits while Cluster 2 (N = 56) not meeting criteria for Type D personality. In comparison to Cluster 2, Cluster 1 patients reported heightened anxiety, depression, reduced social support, increased pain symptoms, manifestations of fibromyalgia, cognitive decline, and poor sleep quality, contributing to a diminished quality-of-life perception; Conclusions: findings highlight diverse personality profiles among Long COVID patients, emphasizing the need for tailored care. This approach shows potential for improving Long COVID patient care, aligning with the evolving personalized medicine paradigm.
Keyphrases
- coronavirus disease
- sars cov
- cognitive decline
- social support
- sleep quality
- depressive symptoms
- respiratory syndrome coronavirus
- mild cognitive impairment
- end stage renal disease
- risk factors
- healthcare
- ejection fraction
- newly diagnosed
- physical activity
- peritoneal dialysis
- primary care
- prognostic factors
- chronic pain
- pain management
- electronic health record
- human health
- climate change
- big data
- smoking cessation
- patient reported outcomes
- spinal cord injury
- cross sectional
- deep learning