Risk Factors Related to Falling in Patients after Stroke

被引:0
作者
Djurovic, Olivera [1 ]
Mihaljevic, Olgica [2 ]
Radovanovic, Snezana [3 ]
Kostic, Smiljana [4 ]
Vukicevic, Marjana [1 ]
Brkic, Biljana Georgievski [1 ]
Stankovic, Snezana [1 ]
Radulovic, Danijela [5 ]
Vukomanovic, Ivana Simic [3 ]
Radevic, Svetlana R. [3 ]
机构
[1] Special Hosp Cerebrovasc Dis Sveti Sava, Belgrade, Serbia
[2] Univ Kragujevac, Fac Med Sci, Dept Pathophysiol, Kragujevac, Serbia
[3] Univ Kragujevac, Fac Med Sci, Dept Social Med, Kragujevac, Serbia
[4] Mil Med Acad, Neurol Clin, Belgrade, Serbia
[5] Univ East Sarajevo, Fac Med, Primary Hlth Can & Publ Hlth, Sarajevo, Republic Srpska, Bosnia & Herceg
关键词
Falls; Stroke patients; Risk factors; Hospitalization; INPATIENT REHABILITATION; PERIPHERAL NEUROPATHY; CEREBRAL INFARCTION; POSTSTROKE FALLS; CONSEQUENCES; DEPRESSION; SURVIVORS; FEAR; PREVALENCE; DISCHARGE;
D O I
暂无
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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.
引用
收藏
页码:1832 / 1841
页数:10
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