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Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke
Published on: July 14, 2023
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Community integration and its predictors in people with stroke: a multicenter longitudinal study.
Jiang-Li Zhao1, Lian-Dong Ma2, Xiang Xiao3
1Department of Rehabilitation Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China. zhaojl6@mail.sysu.edu.cn.
Journal of Rehabilitation Medicine
|April 25, 2024
Summary
Community integration in stroke survivors improved after one year, though levels remained low. Key predictors for better integration include age, education, balance, and daily living abilities.
Area of Science:
- Neuroscience
- Rehabilitation Medicine
- Public Health
Background:
- Stroke significantly impacts patients' ability to reintegrate into the community.
- Understanding factors influencing community integration is crucial for effective rehabilitation strategies.
Purpose of the Study:
- To investigate community integration levels in stroke patients at one-year follow-up.
- To identify predictors of community integration post-stroke.
Main Methods:
- A multicenter, longitudinal observational study involving 65 stroke inpatients in China.
- Initial assessments included the Community Integration Questionnaire (CIQ), Fugl-Meyer Assessment (FMA), Berg Balance Scale (BBS), Modified Barthel Index (MBI), Mini Mental State Examination (MMSE), and Modified Ashworth Scale (MAS).
- Follow-up assessments at one year via telephone included the CIQ and disease-related conditions.
Main Results:
- CIQ scores significantly increased from initial assessment to one-year follow-up (p < 0.05).
- CIQ scores at follow-up correlated with initial age, education, MBI, BBS, and MMSE scores (p < 0.05).
- Age, education, MBI, BBS, MMSE, and FMA scores predicted CIQ scores at follow-up (R² range: 0.056-0.254, p < 0.05).
Conclusions:
- Stroke survivors showed low community integration, but it improved one year post-discharge.
- Balance function and activities of daily living are significant predictors of community integration after stroke.
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