Quality of life after stroke: impact of clinical and sociodemographic factors

Ramos-Lima, Maria José Melo; Brasileiro, Ismênia de Carvalho; Lima, Tamires Layane de; Braga‐Neto, Pedro

doi:10.6061/clinics/2017/e418

Cited by 157 publications

(120 citation statements)

References 37 publications

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“…Previous studies reported numerous risk factors associated with compromised QoL in stroke survivors. Gender, age, disability, 2 the severity of stroke, 3 depression, 4 5 6 7 8 9 10 11 hypertension, dependency status, poor socioeconomic status, unemployment status, 3 12 13 and cognitive impairment 3 were reported as accurate predictors of QoL among stroke survivors.…”

Section: Introductionmentioning

confidence: 96%

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

Ahmed

Kumar

Bahurupi

et al. 2020

JNRP

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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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Section: Introductionmentioning

confidence: 96%

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

Ahmed

Kumar

Bahurupi

et al. 2020

JNRP

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“…Al contrastar este acercamiento con la población con ecv, Ramos et al [28] hallaron que el 10,7 % de la población estaba empleada, con bajos ingresos laborales. Así mismo, Costa et al [29] señalan que el mayor predomino de la población se encontraba con bajos ingresos.…”

Section: Discussionunclassified

Discapacidad y determinantes sociales de la salud en personas con enfermedad cerebrovascular, San Juan de Pasto (Colombia)

Lema

Rodríguez

2020

Rev. Fac. Nac. Salud Pública

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“…Niemi et al [31] found that patients with either a right or left hemisphere stroke had more frequently evidenced deterioration of quality of life than patients with no brainstem lesions. One study showed worse quality of life in patients with left hemispheric stroke [32].…”

Section: Study Of Rønning and Stavemmentioning

confidence: 99%

Predictors of Health-Related Quality of Life in Stroke Survivors After Inpatient rehabilitation

Rančić¹,

Mandić²,

Bogdanović³

et al. 2019

Preprint

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Background. Disordered and decreased quality of life is the most important consequence of stroke for stroke survivors. The aim of the study was to determine the predictors of the health-related quality of life (HRQOL) in stroke survivors six months after discharge from inpatient rehabilitation.Methods. We conducted prospective cohort study which involved 136 (48.5% males and 51.5% females) survivors. We examined seven potential predictors of HRQOL: age, sex, stroke type, stroke side, functional status (Barthel Index-BI and modified Rankin Scale-mRS), cognition (Mini-Mental State Examination; MMSE) and stroke severity (National Institutes of Health Stroke Scale; NIHSS). HRQOL was assessed by Stroke Impact Scale (SIS) 3.0. Using Pearson's correlation and multiple logistic regression analysis we described the relationships between mRS, NIHSS, BI, MMSE and HRQOL. Results. Baseline mRS and NIHSS scores negatively correlated with seven SIS domains except with strength. Baseline BI scores positively correlated with seven SIS domains except mobility and baseline MMSE scores positive correlated with memory, ADL, hand function and participation role and negatively correlated with emotion, communication and mobility domains. Decrease of both mRS and NIHSS scores during the observed period positively correlated with increase of all SIS domains. Ischaemic stroke positively correlated with emotion and communication and stroke in brainstem negatively correlated with communication domain. Memory domain positively correlated with female sex and with stroke in the right hemisphere. Age wasn't significantly associated with any SIS domain.Conclusion. We conclude that major factors in predicting the improvement of strength, physical functioning, mobility, hand function, ADL and participation role were increase of BI and decrease of mRS and NIHSS scores. Female sex, stroke in right hemisphere and increase of BI and MMSE scores predicted better memory. Baseline mRS and NIHSS scores were predictors for improvement of hand function and increase of mRS predicted decrease of hand function and participation role.

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Quality of life after stroke: impact of clinical and sociodemographic factors

Cited by 157 publications

References 37 publications

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

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

Discapacidad y determinantes sociales de la salud en personas con enfermedad cerebrovascular, San Juan de Pasto (Colombia)

Predictors of Health-Related Quality of Life in Stroke Survivors After Inpatient rehabilitation

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