FACULTY OF PUBLIC HEALTH

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    A comparative analysis of fertility differentials in Ghana and Nigeria
    (Women's Health and Action Research Centre, 2014) Olatoregun, O.; Fagbamigbe, A. F.; Akinyemi, O. J.; Yusuf, O. B.; Bamgboye, E. A.
    Nigeria and Ghana are the most densely populated countries in the West African sub-region with fertility levels above world average. Our study compared the two countries’ fertility levels and their determinants as well as the differentials in the effect of these factors across the two countries. We carried out a retrospective analysis of data from the Nigeria and Ghana Demographic Health Surveys, 2008. The sample of 33,385 and 4,916 women aged 15-49 years obtained in Nigeria and Ghana respectively was stratified into low, medium and high fertility using reported children ever born. Data was summarized using appropriate descriptive statistics. Factors influencing fertility were identified using ordinal logistic regression at 5% significance level. While unemployment significantly lowers fertility in Nigeria, it wasn’t significant in Ghana. In both countries, education, age at first marriage, marital status, urban-rural residence, wealth index and use of oral contraception were the main factors influencing high fertility levels.
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    Dominant modifiable risk factors for stroke in Ghana and and Nigeria (SIREN): a case-control study
    (Elsevier Ltd., 2018) Owolabi M. O.; Sarfo F. S.; Akinyemi R. O.; Gebregziabher M.; Akpa O.; Akpalu A.; Wahab K.; Obiako R.; Owolabi L.; Ovbiagele B.
    Background Sub-Saharan Africa has the highest incidence, prevalence, and fatality from stroke globally. Yet, only little information about context-specific risk factors for prioritising interventions to reduce the stroke burden in sub-Saharan Africa is available. We aimed to identify and characterise the effect of the top modifiable risk factors for stroke in sub Saharan Africa. Methods The Stroke Investigative Research and Educational Network (SIREN) study is a multicentre, case-control study done at 15 sites in Nigeria and Ghana. Cases were adults (aged ≥18 years) with stroke confirmed by CT or MRI. Controls were age-matched and gender-matched stroke-free adults (aged ≥18 years) recruited from the communities in catchment areas of cases. Comprehensive assessment for vascular, lifestyle, and psychosocial factors was done using standard instruments. We used conditional logistic regression to estimate odds ratios (ORs) and population attributable risks (PARs) with 95% CIs. Findings Between Aug 28, 2014, and June 15, 2017, we enrolled 2118 case-control pairs (1192 [56%] men) with mean ages of 59•0 years (SD 13•8) for cases and 57•8 years (13•7) for controls. 1430 (68%) had ischaemic stoke, 682 (32%) had haemorrhagic stroke, and six x (<1%) had discrete ischaemic and haemorrhagic lesions. 98•2% (95% CI 97•2–99•0) of adjusted PAR of stroke was associated with 11 potentially modifiable risk factors with ORs and PARs in descending order of PAR of 19•36 (95% CI 12•11–30•93) and 90•8% (95% CI 87•9–93•7) for hypertension, 1•85 (1•44–2•38) and 35•8% (25•3–46•2) for dyslipidaemia, 1•59 (1•19–2•13) and 31•1% (13•3–48•9) for regular meat consumption, 1•48 (1•13–1•94) and 26•5% (12•9–40•2) for elevated waist-to-hip ratio, 2•58 (1•98–3•37) and 22•1% (17•8–26•4) for diabetes, 2•43 (1•81–3•26) and 18•2% (14•1–22•3) for low green leafy vegetable consumption, 1•89 (1•40–2•54) and 11•6% (6•6–16•7) for stress, 2•14 (1•34–3•43) and 5•3% (3•3–7•3) for added salt at the table, 1•65 (1•09–2•49) and 4•3% (0•6–7•9) for cardiac disease, 2•13 (1•12–4•05) and 2•4% (0•7–4•1) for physical inactivity, and 4•42 (1•75–11•16) and 2•3% (1•5–3•1) for current cigarette smoking. Ten of these factors were associated with ischaemic stroke and six with haemorrhagic stroke occurrence. Interpretation Implementation of interventions targeting these leading risk factors at the population level should substantially curtail the burden of stroke among Africans.
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    Multilingual Validation of the Questionnaire for Verifying Stroke-Free Status in West Africa
    (Lippincott Williams & Wilkins, 2016) Sarfo F.; Gebregziabher M.; Ovbiagele B.; Akinyemi R.; Owolabi L.; Obiako R.; Akpa O.; Armstrong K.; Akpalu A.; Adamu S.; Obese V.; Boa-Antwi N.; Appiah L.; Arulogun O.; Mensah Y.; Adeoye A.; Tosin A.; Adeleye O.; Tabi-Ajayi E.; Phillip I.; Sani A.; Isah S.; Tabari N.; Mande A.; Agunloye A.; Ogbole G.; Akinyemi J.; Laryea R.; Melikam S.; Uvere E.; Adekunle G.; Kehinde S.; Azuh P.; Dambatta A.; Ishaq N.; Saulson R.; Arnett D.; Tiwari H.; Jenkins C.; Lackland D.; Owolabi M.
    Background and Purpose—The Questionnaire for Verifying Stroke-Free Status (QVSFS), a method for verifying stroke-free status in participants of clinical, epidemiological, and genetic studies, has not been validated in low-income settings where populations have limited knowledge of stroke symptoms. We aimed to validate QVSFS in 3 languages, Yoruba, Hausa and Akan, for ascertainment of stroke-free status of control subjects enrolled in an on-going stroke epidemiological study in West Africa. Methods—Data were collected using a cross-sectional study design where 384 participants were consecutively recruited from neurology and general medicine clinics of 5 tertiary referral hospitals in Nigeria and Ghana. Ascertainment of stroke status was by neurologists using structured neurological examination, review of case records, and neuroimaging (gold standard). Relative performance of QVSFS without and with pictures of stroke symptoms (pictograms) was assessed using sensitivity, specificity, positive predictive value, and negative predictive value. Results—The overall median age of the study participants was 54 years and 48.4% were males. Of 165 stroke cases identified by gold standard, 98% were determined to have had stroke, whereas of 219 without stroke 87% were determined to be stroke-free by QVSFS. Negative predictive value of the QVSFS across the 3 languages was 0.97 (range, 0.93–1.00), sensitivity, specificity, and positive predictive value were 0.98, 0.82, and 0.80, respectively. Agreement between the questionnaire with and without the pictogram was excellent/strong with Cohen k=0.92. Conclusions—QVSFS is a valid tool for verifying stroke-free status across culturally diverse populations in West Africa.