Tehran University of Medical Sciences Iranian Journal of Public Health 2251-6085 50 9 2021 09 02 1832 1841 Olivera Djurovic Special Hospital for Cerebrovascular Diseases "Sveti Sava", Belgrade, Serbia Olgica Mihaljevic Department of Pathophysiology, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia Snezana Radovanovic Department of Social Medicine, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia Smiljana Kostic Military Medical Academy, Neurology Clinic, Belgrade, Serbia Marjana Vukicevic Special Hospital for Cerebrovascular Diseases "Sveti Sava", Belgrade, Serbia Biljana Georgievski Brkic Special Hospital for Cerebrovascular Diseases "Sveti Sava", Belgrade, Serbia Snezana Stankovic Special Hospital for Cerebrovascular Diseases "Sveti Sava", Belgrade, Serbia Danijela Radulovic Primary Health Care and Public Health, Faculty of Medicine, University East Sarajevo, Sarajevo, Republic of Srpska, Bosnia and Herzegovina Ivana Simic Vukomanovic Department of Social Medicine, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia Svetlana Radevic Department of Social Medicine, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia 2021 07 02 2021 09 02 Background: The aim of this study was to identify the risk factors associated with falling in post stroke patients. Methods: This retrospective case-control study included 561 neurology patients hospitalized for a stroke and divided into two groups: falling patients and non-falling patients. They referred to the Special Hospital for Cerebrovascular Diseases "Sveti Sava" in Belgrade, Serbia, from 2018- 2019. Logistic regression analysis was applied to examine socio-economic factors associated with predictors of unmet healthcare needs. Results: A significant difference was seen in the length of hospitalization of falling patients compared to the non-falling (P<0.001). We established statistically significant differences in mental status (P<0.001), sensibility (P=0.016), depressed mood (P<0.001), early (P=0.001) and medium insomnia (P=0.042), psychomotor slowness (P=0.030), somatic anxiety (P=0.044) and memory (P<0.001). Conclusion: Cerebrovascular disease distribution and the degree of neurological deficit primarily altered mental status, which could be recognized as one of the more important predictors for falling after stroke. The identification of risk factors may be a first step toward the design of intervention programs for preventing a future fall among hospitalized stroke patients. https://ijph.tums.ac.ir/index.php/ijph/article/view/25454 https://ijph.tums.ac.ir/index.php/ijph/article/download/25454/7350