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Risk Factors Related to Falling in Patients after Stroke

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 re...

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Autores principales: Djurovic, Olivera, Mihaljevic, Olgica, Radovanovic, Snezana, Kostic, Smiljana, Vukicevic, Marjana, Brkic, Biljana Georgievski, Stankovic, Snezana, Radulovic, Danijela, Vukomanovic, Ivana Simic, Radevic, Svetlana R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Tehran University of Medical Sciences 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8542823/
https://www.ncbi.nlm.nih.gov/pubmed/34722379
http://dx.doi.org/10.18502/ijph.v50i9.7056
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author Djurovic, Olivera
Mihaljevic, Olgica
Radovanovic, Snezana
Kostic, Smiljana
Vukicevic, Marjana
Brkic, Biljana Georgievski
Stankovic, Snezana
Radulovic, Danijela
Vukomanovic, Ivana Simic
Radevic, Svetlana R
author_facet Djurovic, Olivera
Mihaljevic, Olgica
Radovanovic, Snezana
Kostic, Smiljana
Vukicevic, Marjana
Brkic, Biljana Georgievski
Stankovic, Snezana
Radulovic, Danijela
Vukomanovic, Ivana Simic
Radevic, Svetlana R
author_sort Djurovic, Olivera
collection PubMed
description 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.
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spelling pubmed-85428232021-10-29 Risk Factors Related to Falling in Patients after Stroke Djurovic, Olivera Mihaljevic, Olgica Radovanovic, Snezana Kostic, Smiljana Vukicevic, Marjana Brkic, Biljana Georgievski Stankovic, Snezana Radulovic, Danijela Vukomanovic, Ivana Simic Radevic, Svetlana R Iran J Public Health Original Article 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. Tehran University of Medical Sciences 2021-09 /pmc/articles/PMC8542823/ /pubmed/34722379 http://dx.doi.org/10.18502/ijph.v50i9.7056 Text en Copyright © 2021 Djurovic et al. Published by Tehran University of Medical Sciences https://creativecommons.org/licenses/by-nc/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International license (https://creativecommons.org/licenses/by-nc/4.0/). Non-commercial uses of the work are permitted, provided the original work is properly cited.
spellingShingle Original Article
Djurovic, Olivera
Mihaljevic, Olgica
Radovanovic, Snezana
Kostic, Smiljana
Vukicevic, Marjana
Brkic, Biljana Georgievski
Stankovic, Snezana
Radulovic, Danijela
Vukomanovic, Ivana Simic
Radevic, Svetlana R
Risk Factors Related to Falling in Patients after Stroke
title Risk Factors Related to Falling in Patients after Stroke
title_full Risk Factors Related to Falling in Patients after Stroke
title_fullStr Risk Factors Related to Falling in Patients after Stroke
title_full_unstemmed Risk Factors Related to Falling in Patients after Stroke
title_short Risk Factors Related to Falling in Patients after Stroke
title_sort risk factors related to falling in patients after stroke
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8542823/
https://www.ncbi.nlm.nih.gov/pubmed/34722379
http://dx.doi.org/10.18502/ijph.v50i9.7056
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