Adekunle Fakunle

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Adekunle Fakunle holds a master of Public Health (MPH) in Environmental Health at the department of Environmental Health Sciences, University of Ibadan and currently on the PhD programme at the Department of Occupational and Environmental Health, University of KwaZulu-Natal, Durban, South Africa with specialization in bioaerosols and air quality assessment. He is a public health professional with over 8 years of experience at executing various research related to epidemiology and environmental health. He belongs to several professional organisations including PHASA, PHSA and ASUDNET. Adekunle has published more than 20 articles in high impact journals and has worked with many other organizations on air pollution studies as it relates to health. He is currently investigating the contribution of household air pollution (HAP) on the occurrence and severity of cardiovascular diseases among blacks.

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Risk Assessment Score and χ 2 Automatic Interaction Detection Algorithm for Hypertension Among Africans: Models From the SIREN Study

Hypertension

Background: This study aimed to develop a risk-scoring model for hypertension among Africans. Met... more Background: This study aimed to develop a risk-scoring model for hypertension among Africans. Methods: In this study, 4413 stroke-free controls were used to develop the risk-scoring model for hypertension. Logistic regression models were applied to 13 vascular risk factors. We randomly split the data set into training and testing data at a ratio of 80:20. Constant and standardized weights were assigned to factors significantly associated with hypertension in the regression model to develop a probability risk score on a scale of 0% to 100% using a logistic regression model. The model accuracy was assessed to estimate the cutoff score for discriminating between hypertensives. Results: Mean age was 59.9±13.3, 56.0% were hypertensives, and 7 factors, including diabetes, age in years, waist circumference, body mass index, highest education completed, family history of cardiovascular diseases, and current alcohol use, were associated with hypertension. Cohen κ was maximal at ≥0.28, and a ...

Childhood lower respiratory tract infections linked to residential airborne bacterial and fungal microbiota

Environmental Research, Aug 1, 2023

Respiratory health effect of exposure to Indoor Microbiome on children under-five: a meta-analysis

Environmental health perspectives, Oct 26, 2020

Interrelationship of inflammatory biomarkers with ambulatory heart rate phenotypes in a cohort of Nigerian chronic kidney disease patients compared with controls; findings from symbolic study

European Heart Journal, Nov 1, 2020

Background: Inflammatory processes are proposed to underlie mental disorders. To investigate a po... more Background: Inflammatory processes are proposed to underlie mental disorders. To investigate a possible immune dysregulation in bipolar disorder (BD), we analysed differences in the interrelationship between peripheral inflammatory biomarkers of patients and non-mentally-ill comparison participants (HC). Methods: We analysed a dataset from community-based participants with BD (M/F: 24/35) and age-and-gender-matched HC participants (45/51), collected over two-weeks. Peripheral blood was drawn at the same time from each participant on three occasions one week apart. 18 cytokines, chemokines and CRP were analysed using a high sensitivity multiplex panel/ELISA. Participants with signs of acute inflammation were excluded. Means across the three samples were computed. Results: First, a principal component analysis was conducted on HC yielding 7 distinct rotated components (RC). Based on these components, 7 mean composites of inflammatory markers for each participant were calculated, of which two were significantly elevated in BD compared to HC. The same procedure was applied to BD, yielding 6 RCs, of which two were significantly elevated in BD versus HC. Both analyses revealed components containing CRP, Interleukin (IL) 6 and macrophage-derived chemokine (MDC), of which MDC and IL6 were elevated in BD versus HC (CRP: no difference). Second, correlation matrices were calculated between all biomarkers and examination of correlation matrices between the two groups yielded significant differences (X2 (N ¼ 150) ¼ 72.297, p < 0.00001). Conclusions: These results provide evidence for differences in the interrelationship between inflammatory biomarkers in BD versus HC, pointing towards CRP, IL6 and MCD and altered relationships between eotaxin-1 (CCL11) and interferon-gamma-induced protein 10 (IP10).

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