Health-related quality of life using WHODAS 2.0 and associated factors 1 year after stroke in Korea: a multi-centre and cross-sectional studyopen access
- Authors
- Lee, Hey Jean; Song, Jung-Kook; Moon, Jiyoung; Kim, Keonyeop; Park, Hyeung-Keun; Kang, Gil-Won; Shin, Jun-Ho; Kang, Jongsoo; Kim, Byoung-Gwon; Lee, Young-Hoon; Jeong, Hye Seon; Heeyoung, Lee; Lee, Won Kyung; Kim, Seongheon; Park, Young-Kwon
- Issue Date
- Dec-2022
- Publisher
- BioMed Central
- Keywords
- Stroke; Disability; Quality of life; Medical adherence; Complications; Motivation; WHODAS 2.0
- Citation
- BMC Neurology, v.22, no.1
- Indexed
- SCIE
SCOPUS
- Journal Title
- BMC Neurology
- Volume
- 22
- Number
- 1
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/71731
- DOI
- 10.1186/s12883-022-03032-2
- ISSN
- 1471-2377
1471-2377
- Abstract
- Background: Little is known about the self-perceived level of disability of stroke survivors in the community. We aimed to characterise Health-related quality of life (HRQoL) 1 year after stroke and investigate how sociodemographic and stroke-related factors and medical adherence explain the self-perceived level of disability in a Korean stroke population. Methods: This was a multicentre cross-sectional study. A total of 382 ischaemic stroke survivors at 1 year after onset from 11 university hospitals underwent a one-session assessment, including socioeconomic variables, the modified Rankin Scale (mRS), various neurological sequelae, the Morisky, Green and Levin-Medication Adherence Questionnaire (MGL), and the World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) 36-items. The relationship between disability and different variables was analysed using ordinal logistic regression. Results: The prevalence of disability based on global WHODAS 2.0 was 62.6% (mild, 41.6%; moderate, 16.0%; severe, 5.0%). The prevalence of severe disability was higher in participation in society (16.8%) and getting around (11.8%) than in other domains. Low MGL- motivation was the only factor determining a significant association between all six domains of disability after adjustment. Different predictors for specific domains were age, mRS, dysarthria, trouble seeing, cognition problems, and MGL-motivation for understanding and communicating; age, recurrent stroke, mRS, hemiplegia, facial palsy, general weakness, and MGL-motivation for getting around; age, education, mRS, hemiplegia, and MGL-motivation for self-care; education, recurrent stroke, hemiplegia, dysarthria, and MGL-motivation for getting along with people; age, education, income, mRS, hemiplegia, dysarthria, MGL-knowledge, and MGL-motivation for life activities; living without a spouse, mRS, hemiplegia, dysarthria, trouble seeing, cognition problems, general weakness, and MGL-motivation for participation in society. Conclusions: Self-perceived disability according to the WHODAS 2.0 at 1 year after stroke was highly prevalent. Each disability domain showed a different prevalence and associated factors. Interventions promoting medical adherence to motivation seemed to help achieve high HRQoL in all domains.
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