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Self-Reported Reasons for Activity Limitations According to Age and Sex in Community-Dwelling Stroke Survivors
We examined self-reported reasons for activity limitations among Korean community-dwelling stroke survivors, focusing on age and sex differences. Data from 1547 stroke survivors who participated in the Korean National Health and Nutrition Examination Survey were analysed. The study outcomes were the...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10218242/ https://www.ncbi.nlm.nih.gov/pubmed/37239705 http://dx.doi.org/10.3390/healthcare11101420 |
Sumario: | We examined self-reported reasons for activity limitations among Korean community-dwelling stroke survivors, focusing on age and sex differences. Data from 1547 stroke survivors who participated in the Korean National Health and Nutrition Examination Survey were analysed. The study outcomes were the self-reported reasons for activity limitations, encompassing general medical factors and stroke-related problems. These reasons were compared by age (<65 vs. ≥65 years) and sex using a complex-sample chi-square test. Stroke survivors reported different musculoskeletal, medical, and neurological problems as reasons for activity limitations, which differed by age and sex. Older stroke survivors reported more problems related to dementia, memory loss, auditory problems, back or neck problems, arthritis, or leg pain than younger survivors. Women reported more psychiatric problems, headaches or dizziness, back or neck problems, arthritis, gastrointestinal problems, and dental or oral problems than men. Older and female stroke survivors reported a higher mean number of reasons for activity limitations compared to younger and male survivors. Thus, a tailored approach considering age and sex is necessary to help stroke survivors with activity limitations in the Korean community. This study highlights the importance of considering demographic factors when designing interventions to improve their quality of life. |
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