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Lookup NU author(s): Professor Richard Walker
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© The Author(s) 2025.Diagnosed hypertension stands out as a prominent global cause of mortality, prompting recent efforts to understand not only treatment options but also determinants across diverse age and occupational groups. However, the literature on the impact of environmental factors on diagnosed hypertension is limited, especially in rural areas with restricted access to health infrastructure. Geographical determinants research has often focused on spatial variations across different units, potentially masking individual environmental contributions. Data on diagnosed hypertension patients and their behaviours were gathered during the ARISE project, complemented by geographical data (elevation, vegetation, road network, population density, and nighttime light exposure) from secondary sources. Spatial patterns were analyzed using the Nearest Neighbour Statistic, Ripley K Function, and Kernel Density Estimation, while Binomial logistic regression identified predictors. Diagnosed hypertension patients exhibit spatial clustering, and are mainly comprised of elderly individuals, residing closer to roads, at higher elevations, in areas with higher population distribution, and with little or no green vegetation. Socio-economic, health-related, behavioural, and environmental factors collectively drive diagnosed hypertension. Spatial clustering of diagnosed hypertension in the Igbo Ora community is localized, indicating potential spatial factors influencing its prevalence. Beyond identified behavioural and medical history factors, geographical elements like nighttime light exposure and normalized vegetation index contribute to the observed clustering. Understanding these dynamics is crucial for targeted interventions in the community.
Author(s): Taiwo OJ, Akinyemi JO, Adebayo A, Popoola OA, Akinyemi RO, Akpa OM, Olowoyo P, Okekunle AP, Uvere EO, Ajala OT, Nwimo C, Adebajo OJ, Ayodele AE, Salami A, Arulogun OS, Olaniyan O, Walker RW, Jenkins C, Ovbiagele B, Owolabi M
Publication type: Article
Publication status: Published
Journal: BMC Public Health
Year: 2025
Volume: 25
Issue: 1
Online publication date: 05/02/2025
Acceptance date: 28/01/2025
Date deposited: 03/03/2025
ISSN (electronic): 1471-2458
Publisher: BioMed Central Ltd
URL: https://doi.org/10.1186/s12889-025-21653-3
DOI: 10.1186/s12889-025-21653-3
Data Access Statement: The raw data that support the findings of this study are openly available in all the web links contained in the manuscript, while processed data that are not contained in the manuscript are available from the corresponding author upon reasonable request. We are committed to transparency and reproducibility in research, and we encourage other researchers to use, replicate, and build upon our findings. We believe that open access to data fosters scientific progress and enhances the credibility of our work.
PubMed id: 39910619
