Author/Authors :
Djurovic, Olivera Special Hospital for Cerebrovascular Diseases "Sveti Sava", Belgrade, Serbia , Mihaljevic, Olgica Department of Pathophysiology - Faculty of Medical Sciences - University of Kragujevac, Kragujevac, Serbia , Radovanovic, Snezana Department of Social Medicin - Faculty of Medical Sciences - University of Kragujevac, Kragujevac, Serbia , Kostic, Smiljana Military Medical Academy - Neurology Clinic, Belgrade, Serbia , Vukicevic, Marjana Special Hospital for Cerebrovascular Diseases "Sveti Sava", Belgrade, Serbia , Georgievski Brkic, Biljana Special Hospital for Cerebrovascular Diseases "Sveti Sava", Belgrade, Serbia , Stankovic, Snezana Special Hospital for Cerebrovascular Diseases "Sveti Sava", Belgrade, Serbia , Radulovic, Danijela Primary Health Care and Public Health- Faculty of Medicine - University East Sarajevo, Sarajevo - Republic of Srpska - Bosnia and Herze-govina , Vukomanovic, Ivana Simic Department of Social Medicine - Faculty of Medical Sciences - University of Kragujevac, Kragujevac, Serbia , Radevic, Svetlana R Department of Social Medicine, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia
Abstract :
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), so-matic anxiety (P=0.044) and memory (P<0.001).
Conclusion: Cerebrovascular disease distribution and the degree of neurological deficit primarily altered mental sta-tus, 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 hospital-ized stroke patients.
Keywords :
Falls , Hospitalization , Risk factors , Stroke patients , Falls
