Bhondve, AmitTilak, Shruti VijaySudarson, Nived G.More, Shermeen RajeshSaraf, Prashant HarishSingh, Shreyansh DineshLele, Eeshwari VinayShah, Ritu MohitShah, Kavya AmitabhMehra, Diya Padam2025-05-092025-05-092024-12Bhondve Amit, Tilak Shruti Vijay, Sudarson Nived G., More Shermeen Rajesh, Saraf Prashant Harish, Singh Shreyansh Dinesh, Lele Eeshwari Vinay, Shah Ritu Mohit, Shah Kavya Amitabh, Mehra Diya Padam. Borrowing, loss of income and related sociodemographic factors in post-traumatic stress disorder in COVID-19 patients: A cross-sectional study from a government hospital in Mumbai, India. Indian Journal of Community & Family Medicine. 2024 Dec; 10(2): 129-1342395-21132666-3120https://imsear.searo.who.int/handle/123456789/243345Introduction: Socioeconomic and related demographic characteristics may contribute to psychological distress following hospitalization with COVID-19. Financial strain experienced during the hospital stay may be associated with a heightened risk for posttraumatic stress disorder (PTSD). Material and Methods: The present study aimed to assess the prevalence and socioeconomic correlates of PTSD among patients previously hospitalized with COVID-19 in a government hospital in Mumbai, India, through a cross-sectional, questionnaire-based study design. Patients were contacted through telephonic interviews 3 months following discharge. The questionnaire included demographic and socioeconomic details in relation with COVID-19 hospitalization and the PTSD Checklist for DSM-5 (PCL-5). Results: Only (6.7%) patients received a provisional diagnosis of PTSD, while 12/89 (13.5%) were classified as having subthreshold PTSD. 10/89 (11.2%) scored ?31 on the PCL 5 and had probable PTSD. 10/89 (11.2%) scored ?31 on the PCL?5. On bivariate analyses, being unmarried or divorced or separated (P = 0. 037), having children who were minors (P = 0. 002), traveling from outside the state for hospitalization (P < 0.001), borrowing (P = 0.002), or loss of income (P = 0.028) due to hospitalization were significantly associated with subthreshold PTSD. On multivariable analysis, borrowing (adjusted odds ratio [AOR] 9.45, 95% CI 1.08–82.72) and traveling from outside the state (AOR 35.75, 95% CI 1.46–875.45, P = 0.028) retained significance for subthreshold PTSD. Conclusion: Socioeconomic factors may contribute to PTSD burden in previously hospitalized COVID-19 patients. This points to a need for mental health screening and economic relief measures in financially vulnerable patients.COVID-19hospitalizationposttraumatic stress disordersocioeconomic factorsBorrowing, loss of income and related sociodemographic factors in post-traumatic stress disorder in COVID-19 patients: A cross-sectional study from a government hospital in Mumbai, IndiaJournal ArticleIndiaDepartment of Community Medicine, Seth GS Medical College and KEM Hospital, Mumbai, Maharashtra, IndiaDepartment of Community Medicine, Seth GS Medical College and KEM Hospital, Mumbai, Maharashtra, IndiaDepartment of Community Medicine, Seth GS Medical College and KEM Hospital, Mumbai, Maharashtra, IndiaDepartment of Community Medicine, Seth GS Medical College and KEM Hospital, Mumbai, Maharashtra, IndiaDepartment of Community Medicine, Seth GS Medical College and KEM Hospital, Mumbai, Maharashtra, IndiaDepartment of Community Medicine, Seth GS Medical College and KEM Hospital, Mumbai, Maharashtra, IndiaDepartment of Community Medicine, Seth GS Medical College and KEM Hospital, Mumbai, Maharashtra, IndiaDepartment of Community Medicine, Seth GS Medical College and KEM Hospital, Mumbai, Maharashtra, IndiaDepartment of Psychology, National College, Mumbai, Maharashtra, IndiaDepartment of Applied Psychology, Mumbai University, Mumbai, Maharashtra, India