Health-Related Quality of Life Among Long-Term Survivors of Stroke

Hackett, Maree L.; Duncan, J.R.; Anderson, Craig S.; Broad, Joanna; Bonita, Ruth

doi:10.1161/01.str.31.2.440

Cited by 219 publications

(200 citation statements)

References 47 publications

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“…These results are consistent with the results of previous studies (7,12,13,25,(32)(33)(34)(35), although they include a heterogeneous population and employ HRQOL with a wider variety of scales, including studies conducted on Turkish population. In contrast, a study reports a slight change in HRQOL of patients with stroke (8).…”

Section: Discussionsupporting

confidence: 91%

“…The Turkish version of this scale was verified in terms of its validity and reliability by Koçyiğit et al (27). The SF-36 has been validated for use among people with stroke and is considered suitable through a face-to-face interview (13).…”

Section: Short Form-36 Health Surveymentioning

confidence: 99%

“…Many studies have evaluated HRQOL of patients with stroke and have also investigated the factors affecting HRQOL (2,(8)(9)(10)(11). Some of them have reported disruption in HRQOL (8)(9)(10)12), whereas others have not reported significant changes in HRQOL (2,13).…”

Section: Introductionmentioning

confidence: 99%

“…The previous studies largely consider limited factors to evaluate the relationship between QOL and stroke with controversial outcomes (2,(8)(9)(10)12,13). For example, there are a limited number of studies investigating the effect of emotional status, functional health, and demographic properties on the QOL of patients with stroke (2,(8)(9)(10)(11).…”

Section: Introductionmentioning

confidence: 99%

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Determining Quality of Life and Associated Factors in Patients with Stroke

Em¹,

Bozkurt²,

Karakoç³

et al. 2015

Turk J Phys Med Rehab

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Objective: This study aims to examine the overall and domain-specific quality of life in patients with stroke and to identify variables predicting quality of life after stroke. Material and Methods: A total of 104 patients with sufficient cognitive functions having hemiplegia because of cerebrovascular accident and 108 controls were included in this study. Demographic and clinical features were recorded. The Barthel Index (BI) and Functional Ambulation Category scale were employed to assess the functional state of patients. Quality of life was evaluated by the Short Form 36 (SF-36) health survey, whereas the emotional state of the patients was evaluated by the Hospital Anxiety and Depression Scale (HADS). Functional status, motor impairment, and emotional state were determined as independent variables, and multiple regression analysis was used to predict quality of life. Results: Patients had significantly lower scores in the quality of life subscores and total scores in comparison with the controls (p<0.001). The mean anxiety and depression rates in the patients were significantly higher than those in controls (p<0.001). The sum of subscores and physical composite score of SF-36 were significantly lower in female and illiterate patients than in male and educated patients. Multiple regression analyses indicated that HADS depression was associated with mental health (p<0.001), whereas BI was independently associated with the physical health total score (p<0.05). The power of the statistical analysis for study population was 100% according to the given effect size (α=0.01). Conclusion: Present results demonstrated that patients with stroke have a significantly poor quality of life than the general population. The reduced quality of life after stroke appears to be related the emotional state, physical disability, and demographic properties such as gender and education. Therefore, prevention of disability and early diagnosis and treatment of depression are vital in improving the quality of life of patients with stroke.

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Section: Discussionsupporting

confidence: 91%

Section: Short Form-36 Health Surveymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Determining Quality of Life and Associated Factors in Patients with Stroke

Em¹,

Bozkurt²,

Karakoç³

et al. 2015

Turk J Phys Med Rehab

View full text Add to dashboard Cite

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“…As to the last CVA, the incidence ranged from more than 2 months to less than 12 and above 24 months, with a maximum time limit of 19 years. In similar studies, the time range between the last CVA episode and the data collection was between a minimum of 14 days (21) and a maximum of six years after it (22) . The ischemic CVA prevailed.…”

Section: Discussionmentioning

confidence: 94%

Avaliação da capacidade funcional de idosos com acidente vascular encefálico

Cruz

Diogo

2009

Acta paul. enferm.

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Objective: To evaluate the functional capacity of elders with encephalic vascular accident (EVA) and to examine the association between sociodemographic variables and functional capacity. Methods: Interviews with 44 elders who had EVA were conducted during their assessment and treatment in the data collection settings. The instrument contemplated clinical and social-demographic variables. Functional Independence Measure (FIM) was used to measure the subjects' functional capacity. Results: Most subjects were between 60 and 69 years of age. The MIF had good internal consistency reliability estimate. Subjects had a mean score of 97.0 on FIM. Mann-Whitney test indicated that participants who had access to health care services had higher FIM scores than individuals without health care access. Pearson's correlation analysis indicated a significantly negative correlation coefficient between age and FIM score. Conclusion: Encephalic vascular accident is associated with alterations in functional capacity of the sample of this study. This finding suggests the need for the use of effective rehabilitation strategies to help individuals who have decreased functional capacity due to normal aging and/or sequela to encephalic vascular accident. Keywords: Aged; Cerebrovascular accident; Geriatric assessment RESUMO Objetivo: Avaliar a capacidade funcional de idosos com acidente vascular encefálico (AVE) e verificar a relação, bem como a influência de variáveis sociodemográficas e de saúde na capacidade funcional desses sujeitos. Métodos: Foram realizadas entrevistas com 44 idosos, vítimas de AVE, durante o atendimento nos locais de coleta de dados. O instrumento de coleta de dados contemplou dados sociodemográficos e clínicos. Para avaliar a capacidade funcional dos sujeitos foi aplicado o instrumento de Medida de Independência Funcional (MIF). Resultados: Houve predomínio da faixa etária entre 60 e 69 anos. A MIF apresentou boa consistência interna. A pontuação total MIF dos apresentou média de 97,0. Os pacientes com acesso ao serviço de saúde apresentaram valores superiores aos dos indivíduos que não tinham acesso (Teste de Mann-Whitney). Foi observada correlação negativa entre a MIF e seus domínios e a idade (Pearson). Conclusão: O AVE causou alteração na capacidade funcional dos sujeitos da pesquisa, o que aponta para a necessidade de se investir em estratégias de reabilitação que venham a amenizar as perdas funcionais advindas da própria idade e, principalmente, das seqüelas de AVE. Descritores: Idoso; Acidente vascular encefálico; Avaliação geriátrica RESUMEN Objetivo: Evaluar la capacidad funcional de personas adultas mayores con accidente vascular encefálico (AVE) y verificar la relación, así como la influencia de variables sociodemográficas y de salud en la capacidad funcional de esos sujetos. Métodos: Fueron entrevistadas 44 personas adultas mayores, víctimas de AVE, durante la atención en los locales de recolección de datos. El instrumento de recolección de datos incluyó datos sociodemográficos y clínicos. Para...

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