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Determinants of Quality of Life after Stroke in Southern Portugal: A Cross Sectional Community-Based Study
Introduction: the perception of Quality of Life (QoL) has been used to evaluate the treatment and evolution of several pathologies. QoL evaluation allows a better understanding of the patient and his adaptation to the disease. An observational, community-based and descriptive correlational study was...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8615655/ https://www.ncbi.nlm.nih.gov/pubmed/34827509 http://dx.doi.org/10.3390/brainsci11111509 |
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author | Lourenço, Eva Sampaio, Mário Rui dos Mártires Nzwalo, Hipólito Costa, Emília Isabel Ramos, José Luis Sánchez |
author_facet | Lourenço, Eva Sampaio, Mário Rui dos Mártires Nzwalo, Hipólito Costa, Emília Isabel Ramos, José Luis Sánchez |
author_sort | Lourenço, Eva |
collection | PubMed |
description | Introduction: the perception of Quality of Life (QoL) has been used to evaluate the treatment and evolution of several pathologies. QoL evaluation allows a better understanding of the patient and his adaptation to the disease. An observational, community-based and descriptive correlational study was carried out to analyze stroke survivors’ perception of QoL. Methods: consecutive case-series of stroke survivors (≥3 months) followed in a single public primary health center (“Tavira Primary Health Centre”) from Algarve, southern Portugal. The Portuguese version of the World Health Organization Quality of life instrument was administered in 102 stroke survivors. Results: Perception of QoL was associated (p < 0.05) with specific sociodemographic (age, sex, marital status, academic training), economic (monthly family income) and clinical factors (number of vascular risk factors, type of stroke, evolution, chronic mRankin score). On multivariate analysis, chronic mRankin score on physical (R(2) = 0.406; F = 8.757; p < 0.001), psychological (R(2) = 0.286; F = 5.536; p < 0.001) and general domain (R(2) = 0.357; F = 7.287; p < 0.001); and family income (R(2) = 0.160; F = 3.156; p < 0.005) on environmental domain, emerged as predictors of QoL. Conclusion: Different socio-demographic, economic and health factors are associated with post-stroke QoL. Description of QoL contributes to the overall evaluation of the impact of stroke on health and should be a priority for health professionals. |
format | Online Article Text |
id | pubmed-8615655 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86156552021-11-26 Determinants of Quality of Life after Stroke in Southern Portugal: A Cross Sectional Community-Based Study Lourenço, Eva Sampaio, Mário Rui dos Mártires Nzwalo, Hipólito Costa, Emília Isabel Ramos, José Luis Sánchez Brain Sci Article Introduction: the perception of Quality of Life (QoL) has been used to evaluate the treatment and evolution of several pathologies. QoL evaluation allows a better understanding of the patient and his adaptation to the disease. An observational, community-based and descriptive correlational study was carried out to analyze stroke survivors’ perception of QoL. Methods: consecutive case-series of stroke survivors (≥3 months) followed in a single public primary health center (“Tavira Primary Health Centre”) from Algarve, southern Portugal. The Portuguese version of the World Health Organization Quality of life instrument was administered in 102 stroke survivors. Results: Perception of QoL was associated (p < 0.05) with specific sociodemographic (age, sex, marital status, academic training), economic (monthly family income) and clinical factors (number of vascular risk factors, type of stroke, evolution, chronic mRankin score). On multivariate analysis, chronic mRankin score on physical (R(2) = 0.406; F = 8.757; p < 0.001), psychological (R(2) = 0.286; F = 5.536; p < 0.001) and general domain (R(2) = 0.357; F = 7.287; p < 0.001); and family income (R(2) = 0.160; F = 3.156; p < 0.005) on environmental domain, emerged as predictors of QoL. Conclusion: Different socio-demographic, economic and health factors are associated with post-stroke QoL. Description of QoL contributes to the overall evaluation of the impact of stroke on health and should be a priority for health professionals. MDPI 2021-11-14 /pmc/articles/PMC8615655/ /pubmed/34827509 http://dx.doi.org/10.3390/brainsci11111509 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lourenço, Eva Sampaio, Mário Rui dos Mártires Nzwalo, Hipólito Costa, Emília Isabel Ramos, José Luis Sánchez Determinants of Quality of Life after Stroke in Southern Portugal: A Cross Sectional Community-Based Study |
title | Determinants of Quality of Life after Stroke in Southern Portugal: A Cross Sectional Community-Based Study |
title_full | Determinants of Quality of Life after Stroke in Southern Portugal: A Cross Sectional Community-Based Study |
title_fullStr | Determinants of Quality of Life after Stroke in Southern Portugal: A Cross Sectional Community-Based Study |
title_full_unstemmed | Determinants of Quality of Life after Stroke in Southern Portugal: A Cross Sectional Community-Based Study |
title_short | Determinants of Quality of Life after Stroke in Southern Portugal: A Cross Sectional Community-Based Study |
title_sort | determinants of quality of life after stroke in southern portugal: a cross sectional community-based study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8615655/ https://www.ncbi.nlm.nih.gov/pubmed/34827509 http://dx.doi.org/10.3390/brainsci11111509 |
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