Risk and protective factors for the severity of long COVID - A network analytic perspective.

Background And Objectives: In light of the late stage of COVID-19 pandemic, the occurrence of persistent symptoms after COVID-19 infection has become more frequent. To date, there are no standardized treatments. Underlying mechanisms, risk and protective factors for severe persisting symptoms should be investigated to develop effective interventions.

Methods: An online questionnaire was used to assess gender, presence of prior mental disorder, severity of COVID-19 infection, and social connectedness (SCS-R) to determine their influence on symptom severity of persisting symptoms. The sample used to examine risk and protective factors consisted of 693 participants.

Results: The analysis revealed no significant gender differences for severity of persisting symptoms. However, prior mental health condition was associated with severity of persisting symptoms. Moreover, there was a positive association between symptom severity during COVID-19 infection and Post COVID 19. Social connectedness was found to be negatively associated with Post COVID 19 symptoms. Social connectedness was shown to be negatively associated with depressive symptoms and disordered self-organization. The symptoms of energy loss and concentration had the highest centrality.

Conclusion: The results of the study indicate that severity of post-covid symptoms is associated with higher levels of psychopathological symptoms and a lower level of social connectedness. In conclusion, social connectedness may be an important factor in the development of post-COVID symptoms and should be considered for future interventions. The results from the network analyses provide a first step for a more granular syndrome profile.