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Factors Affecting Quality of Life among Post-Stroke Patients in the Sub-Himalayan Region

Background  Stroke is one of the most debilitating conditions contributing to significant disability and death globally. Identifying risk factors for quality of life (QoL) will enable to improve home-based rehabilitation in post-stroke phase. Objective  This study was aimed to identify the risk fact...

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Autores principales: Ahmed, Tarannum, Kumar, Rajesh, Bahurupi, Yogesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Thieme Medical and Scientific Publishers Pvt. Ltd. 2020
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7595802/
https://www.ncbi.nlm.nih.gov/pubmed/33144800
http://dx.doi.org/10.1055/s-0040-1716927
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author Ahmed, Tarannum
Kumar, Rajesh
Bahurupi, Yogesh
author_facet Ahmed, Tarannum
Kumar, Rajesh
Bahurupi, Yogesh
author_sort Ahmed, Tarannum
collection PubMed
description Background  Stroke is one of the most debilitating conditions contributing to significant disability and death globally. Identifying risk factors for quality of life (QoL) will enable to improve home-based rehabilitation in post-stroke phase. Objective  This study was aimed to identify the risk factors of QoL in stroke patients in the sub-Himalayan region. Materials and Methods  A cross-sectional hospital-based study assessed the QoL among stroke patients within a week after the onset of acute stroke and then re-evaluated at 3 months. World Health Organization QoL-BREF, Beck Depression Inventory, the Barthel Index, and Montreal Cognitive Assessment (MOCA) were used to seek data on QoL, depression, cognitive, and functional dependence status, respectively. Appropriate statistics were used to compute the results. Results  In total, 129 stroke patients recruited, out of which 102 returned to a 3-month follow-up. QoL, MOCA, disability index, and depression score were compared using Wilcoxon Singed-rank test. In multivariate analysis, depression and disability together predicted 60% of the variance for physical QoL ( p < 0.0001). Similarly, poststroke depression and disability together predicted 61% of the variance for psychological QoL ( p < 0.0001) in stroke patients. Conclusion  Findings indicated that depression and disability are leading risk factors of QoL in stroke patients. Early identification of poststroke depression and functional dependence status is, therefore, essential to devise screening procedure and to develop targeted intervention to improve rehabilitation outcomes.
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spelling pubmed-75958022020-11-02 Factors Affecting Quality of Life among Post-Stroke Patients in the Sub-Himalayan Region Ahmed, Tarannum Kumar, Rajesh Bahurupi, Yogesh J Neurosci Rural Pract Background  Stroke is one of the most debilitating conditions contributing to significant disability and death globally. Identifying risk factors for quality of life (QoL) will enable to improve home-based rehabilitation in post-stroke phase. Objective  This study was aimed to identify the risk factors of QoL in stroke patients in the sub-Himalayan region. Materials and Methods  A cross-sectional hospital-based study assessed the QoL among stroke patients within a week after the onset of acute stroke and then re-evaluated at 3 months. World Health Organization QoL-BREF, Beck Depression Inventory, the Barthel Index, and Montreal Cognitive Assessment (MOCA) were used to seek data on QoL, depression, cognitive, and functional dependence status, respectively. Appropriate statistics were used to compute the results. Results  In total, 129 stroke patients recruited, out of which 102 returned to a 3-month follow-up. QoL, MOCA, disability index, and depression score were compared using Wilcoxon Singed-rank test. In multivariate analysis, depression and disability together predicted 60% of the variance for physical QoL ( p < 0.0001). Similarly, poststroke depression and disability together predicted 61% of the variance for psychological QoL ( p < 0.0001) in stroke patients. Conclusion  Findings indicated that depression and disability are leading risk factors of QoL in stroke patients. Early identification of poststroke depression and functional dependence status is, therefore, essential to devise screening procedure and to develop targeted intervention to improve rehabilitation outcomes. Thieme Medical and Scientific Publishers Pvt. Ltd. 2020-10 2020-10-01 /pmc/articles/PMC7595802/ /pubmed/33144800 http://dx.doi.org/10.1055/s-0040-1716927 Text en Association for Helping Neurosurgical Sick People. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. https://creativecommons.org/licenses/by-nc-nd/4.0/. https://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited.
spellingShingle Ahmed, Tarannum
Kumar, Rajesh
Bahurupi, Yogesh
Factors Affecting Quality of Life among Post-Stroke Patients in the Sub-Himalayan Region
title Factors Affecting Quality of Life among Post-Stroke Patients in the Sub-Himalayan Region
title_full Factors Affecting Quality of Life among Post-Stroke Patients in the Sub-Himalayan Region
title_fullStr Factors Affecting Quality of Life among Post-Stroke Patients in the Sub-Himalayan Region
title_full_unstemmed Factors Affecting Quality of Life among Post-Stroke Patients in the Sub-Himalayan Region
title_short Factors Affecting Quality of Life among Post-Stroke Patients in the Sub-Himalayan Region
title_sort factors affecting quality of life among post-stroke patients in the sub-himalayan region
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7595802/
https://www.ncbi.nlm.nih.gov/pubmed/33144800
http://dx.doi.org/10.1055/s-0040-1716927
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