Stroke Severity and Health-Related Quality of Life Among Stroke Survivors at a Tertiary Hospital in Nigeria | ||||
| Zagazig University Medical Journal | ||||
| Article 31, Volume 31, Issue 3, March 2025, Page 1299-1310 PDF (923.52 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/zumj.2025.352764.3794 | ||||
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| Authors | ||||
Hafsat Abolore Ameen   1; Saheed Adeleye ASAFA2; Femi OLADIJI 3; Kudirat Omolabake YUSUF 1; Bilqis Wuraola ALATISHE-MUHAMMAD 1; Akeem Oladimeji Bolarinwa 1; Ibraheem Omotosho MUSA 1
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| 1Department of Epidemiology and Community Health, Faculty of Clinical Sciences, University of Ilorin, Ilorin, Nigeria | ||||
| 2Department of Physiotherapy, University of Ilorin Teaching Hospital, Ilorin, Nigeria | ||||
| 3Department of Epidemiology and Community Health, University of Ilorin, Faculty of Clinical Sciences, PMB 1515, Ilorin, Nigeria | ||||
| Abstract | ||||
| Background Stroke is a major cause of disability worldwide, significantly affecting health-related quality of life (HRQoL), particularly in low- and middle-income countries. Despite increasing survival rates, limited research exists on the relationship between stroke severity and HRQoL in Nigeria. This study examines the association between stroke severity and HRQoL among stroke survivors at the University of Ilorin Teaching Hospital (UITH), Nigeria. Methods A descriptive cross-sectional study was conducted between January and November 2023 among 252 stroke survivors attending neurology and physiotherapy clinics at UITH. Stroke severity was assessed using the Stroke Levity Scale (SLS) and Modified Rankin Scale (mRS), while HRQoL was measured using the HRQOLISP-40 questionnaire. Socio-demographic and clinical characteristics were recorded. SPSS version 23.0 was used for data analysis, including descriptive statistics, Spearman’s correlation, regression analysis, and ANOVA. A p-value <0.05 was considered statistically significant. Results The mean age of participants was 61.1 ± 15.4 years, with 61.9% being male. Stroke severity was significantly associated with lower HRQoL, particularly in the physical (p=0.001), psycho-emotional (p=0.003), cognitive (p=0.005), and eco-social (p=0.012) domains. The spiritual domain was unaffected (p=0.345). Socio-demographic factors such as return to work (p=0.009), source of income (p=0.012), and physiotherapy costs (p=0.017) significantly influenced HRQoL. Conclusion Stroke severity has a profound impact on HRQoL, underscoring the need for comprehensive rehabilitation, financial assistance, and psychosocial support to improve stroke survivors' quality of life. Keywords: Stroke; Health-Related Quality of Life; Rehabilitation; Stroke Severity; Socio-economic Factors. | ||||
| Keywords | ||||
| Keywords: Stroke; Health-Related Quality of Life; Rehabilitation; Stroke Severity; Socio-economic Factors | ||||
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