Department of Nursing, Faculty of Allied Health Sciences, University of Ruhuna, Galle, Sri Lanka.
Department of Medicine, Faculty of Medicine, University of Ruhuna, Galle, Sri Lanka.
Health Qual Life Outcomes. 2020 May 8;18(1):129. doi: 10.1186/s12955-020-01388-y.
Stroke is a major global health concern which affects the health related quality of life (HRQOL). As the prevalence of stroke is increasing especially in lower-middle income countries, it is vital to identify the factors associated with the HRQOL of affected individuals. Available literature for post stroke HRQOL and the associated factors are mainly from high income countries. Therefore, we conducted this study to identify the factors associated with HRQOL of stroke survivors using a stroke specific measure.
A longitudinal study was conducted with the participation of 257 stroke survivors. Participants were followed up after 3 months at the neurology and medical clinics in the Teaching Hospital, Karapitiya, Sri Lanka. Health related quality of life was assessed using the validated version of Stroke Aphasia Quality of Life (SAQOL)-39 generic scale. Pearson correlation, independent sample t-test, one-way ANOVA and regression analysis were used to identify the factors associated with quality of life.
Mean age of the participants with stroke was 66.1 (SD 11.7) years. The mean overall HRQOL was 3.15 (SD 0.96) as measured by the SAQOL-39 g. The socio-demographic factors which had significant associations with HRQOL were; gender, level of education, marital status, occupation and monthly income (p < 0.05). The clinical factors which had significant associations with HRQOL were; level of dependence and disability, type of stroke, side of the lesion, type of aphasia, level of language impairment, receiving physiotherapy and speech therapy and follow up care (p < 0.05). The results of regression indicated six independent predictors [F (6,234) = 42.6, p < 0.05], with an R of 0.52. The HRQOL was significantly predicted by the level of dependence (β = .43, p < .01), level of language impairment (β = .20, p < .01), age (β = -.23, p < .01), type of stroke (β = -.19, p < .01), side of the lesion (β = .17, p < .01) and the level of education (β = .12, p < .05).
Severe degree of dependence, severe level of language impairment, older age, hemorrhagic stroke, and lesions in the left side were associated with lower HRQOL. Higher education level was associated with higher HRQOL scores.
中风是一个全球性的健康问题,影响着与健康相关的生活质量(HRQOL)。由于中风的发病率,尤其是在中低收入国家,不断上升,因此识别与中风患者 HRQOL 相关的因素至关重要。现有的中风后 HRQOL 及其相关因素的文献主要来自高收入国家。因此,我们进行了这项研究,使用专门的中风评估工具来确定中风幸存者 HRQOL 的相关因素。
这是一项纵向研究,参与者为 257 名中风幸存者。在斯里兰卡卡拉皮蒂亚教学医院的神经科和内科诊所,对参与者进行了 3 个月后的随访。使用经过验证的中风失语症生活质量(SAQOL)-39 通用量表评估与健康相关的生活质量。采用 Pearson 相关、独立样本 t 检验、单因素方差分析和回归分析来确定与生活质量相关的因素。
参与者中风的平均年龄为 66.1(SD 11.7)岁。SAQOL-39g 测量的总体 HRQOL 平均值为 3.15(SD 0.96)。与 HRQOL 显著相关的社会人口学因素有:性别、教育程度、婚姻状况、职业和月收入(p<0.05)。与 HRQOL 显著相关的临床因素有:依赖和残疾程度、中风类型、病变侧、失语类型、语言损伤程度、接受物理治疗和言语治疗以及随访护理(p<0.05)。回归分析结果表明,有六个独立的预测因子[F(6,234)=42.6,p<0.05],R 值为 0.52。依赖程度(β=0.43,p<0.01)、语言损伤程度(β=0.20,p<0.01)、年龄(β=-0.23,p<0.01)、中风类型(β=-0.19,p<0.01)、病变侧(β=0.17,p<0.01)和教育程度(β=0.12,p<0.05)显著预测了 HRQOL。
严重的依赖程度、严重的语言损伤程度、年龄较大、出血性中风以及病变位于左侧与较低的 HRQOL 相关。较高的教育程度与较高的 HRQOL 评分相关。