BackgroundThis study sought to ascertain perception of Nigerian medical students of neurology in comparison with 7 other major medical specialties. To also determine whether neurology was the specialty students consider most difficult and the reasons for this and to appraise their opinion on how neurosciences and neurology were taught in their different universities.MethodsSelf-administered questionnaires were used to obtain information from randomly selected clinical students from 3 medical colleges in Nigeria (University of Ibadan, Ibadan; University of Ilorin, Ilorin; Ladoke Akintola University of Technology, Osogbo).ResultsOf 320 questionnaires sent out, 302 were returned given 94% response rate. Students felt they knew neurology least of all the 8 medical specialties, and were not confident of making neurological diagnoses. About 82% of the students indicated they learnt neurology best from bedside teaching, followed by use of medical textbooks. Close to 15% found online resources very useful for learning neurology and 6% indicated that group discussion was quite useful in the acquisition of knowledge on neurology. Histology and biochemistry were the preclinical subjects participants opined were least useful in learning neurology. The most frequent reasons students felt neurology was difficult were problems with understanding neuroanatomy (49%), insufficient exposure to neurological cases (41%), too many complex diagnoses (32%) and inadequate neurology teachers (32%).ConclusionsNigerian medical students perceived neurology as the most difficult medical specialty and are not interested in specializing in it. Neurology education could be improved upon by provision of more bedside tutorials and increased availability of online resources to enhance learning. There is need to emphasize increased frequency of small group discussions amongst students so that they will be used to teamwork after graduation.
SummaryBackgroundIn addition to poor socio-economic indices and a high prevalence of infectious diseases, there have been various reports of a rising prevalence of cardiovascular diseases, with associated morbidity and mortality in developing countries. These factors co-exist, resulting in a synergy, with serious complications, difficult-to-treat conditions and fatal outcomes. Hence this study was conducted to determine the clustering of cardiovascular disease risk factors and its pattern in semi-urban communities in south-western Nigeria.MethodsThis was a cross sectional study over seven months in 11 semi-urban communities in south-western Nigeria.ResultsThe total number of participants was 1 285 but only 1 083, with 785 (65%) females, completed the data. Participants were 18 years and older, and 51.2% were over 60 years. The mean age was 55.12 ± 19.85 years. There were 2.6% current cigarette smokers, 22% drank alcohol and 12.2% added salt at the table, while 2% had been told by their doctors they had diabetes, and 23.6% had hypertension. The atherogenic index of plasma was at a high-risk level of 11.1%. Elevated total cholesterol and low-density lipoprotein cholesterol, and low high-density lipoprotein cholesterol levels were seen in 5.7, 3.7 and 65.1%, respectively. Prevalence of hypertension was 44.9%, diabetes was 5.2%, obesity with body mass index (BMI) > 30 kg/m2 was 5.7%, and abdominal circumference was 25.7%. Prevalence of clusters of two, three, and four or more risk factors was 23.1, 15.5 and 8.4%, respectively. Increasing age 2.94 (95% CI: 1.30–6.67), BMI 1.18 (95% CI: 1.02–1.37), fasting plasma glucose level 1.03 (95% CI: 1.00– 1.05), albuminuria 1.03 (95% CI: 1.00–1.05), systolic blood pressure 1.07 (95% CI: 1.04–1.10), diastolic blood pressure 1.06 (95% CI: 1.00–1.11) and female gender 2.94 (95% CI: 1.30–6.67) showed increased odds of clustering of two or more cardiovascular risk factors.ConclusionClustering of cardiovascular risk factors is prevalent in these communities. Patterns of clustering vary. This calls for aggressive and targeted public health interventions to prevent or reduce the burden of cardiovascular disease, as the consequences could be detrimental to the country.
The rich and diverse genomics of African populations is significantly underrepresented in reference and in disease-associated databases. This renders interpreting the Next Generation Sequencing (NGS) data and reaching a diagnostic more difficult in Africa and for the African diaspora. It increases chances for false positives with variants being misclassified as pathogenic due to their novelty or rarity. We can increase African genomic data by (1) making consent for sharing aggregate frequency data an essential component of research toolkit; (2) encouraging investigators with African data to share available data through public resources such as gnomAD, AVGD, ClinVar, DECIPHER and to use MatchMaker Exchange; (3) educating African research participants on the meaning and value of sharing aggregate frequency data; and (4) increasing funding to scale-up the production of African genomic data that will be more representative of the geographical and ethno-linguistic variation on the continent. The RDWG of H3Africa is hereby calling to action because this underrepresentation accentuates the health disparities. Applying the NGS to shorten the diagnostic odyssey or to guide therapeutic options for rare diseases will fully work for Africans only when public repositories include sufficient data from African subjects.
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