Epidemiology of stroke in a rural community in Southeastern Nigeria
Authors Enwereji K, Nwosu M, Ogunniyi A, Nwani P, Asomugha AL, Enwereji E
Received 15 November 2013
Accepted for publication 17 February 2014
Published 24 June 2014 Volume 2014:10 Pages 375—388
Checked for plagiarism Yes
Review by Single-blind
Peer reviewer comments 3
Kelechi O Enwereji,1 Maduaburochukwu C Nwosu,1 Adesola Ogunniyi,2 Paul O Nwani,1 Azuoma L Asomugha,1 Ezinna E Enwereji3
1Neurology Unit, Department of Medicine, Nnamdi Azikiwe University Teaching Hospital, Nnewi, Anambra State, Nigeria; 2Neurology Unit, Department of Medicine, University College Hospital Ibadan, Oyo State, Nigeria; 3Department of Community Medicine/Nursing Sciences, College of Medicine, Abia State University, Uturu, Abia State, Nigeria
Background: The prevalence and incidence of stroke vary from community to community worldwide. Nonetheless, not much is known about the current epidemiology of stroke in rural Nigeria and indeed Africa.
Methods: We carried out a two-phase door-to-door survey in a rural, predominantly low-income, community in Anambra, Southeastern Nigeria. We used a modified World Health Organization (WHO) protocol for detecting neurological diseases in the first phase, and a stroke-specific questionnaire and neurological examination in the second phase. An equal number of sex- and age-matched stroke-negative subjects were examined.
Results: We identified ten stroke subjects in the study. The crude prevalence of stroke in rural Nigeria was 1.63 (95% confidence interval [CI] 0.78–3.00) per 1,000 population. The crude prevalence of stroke in males was 1.99 (95% CI 0.73–4.33) per 1,000, while that for females was 1.28 (95% CI 0.35–3.28) per 1,000 population. The peak age-specific prevalence of stroke was 12.08 (95% CI 3.92–28.19) per 1,000, while after adjustment to WHO world population, the peak was 1.0 (95% CI 0.33–2.33) per 1,000.
Conclusion: The prevalence of stroke was found to be higher than previously documented in rural Nigeria, with a slightly higher prevalence in males than females. This is, however, comparable to data from rural Africa.
Keywords: Africa, developing country, prevalence
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