Geo-behavioural predictors of diagnosed hypertension in Igbo Ora Area, Oyo State, Nigeria
Abstract 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 hyperte...
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2025-02-01
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| author | Olalekan J. Taiwo Joshua O. Akinyemi Ayodeji Adebayo Oluwafemi A. Popoola Rufus O. Akinyemi Onoja M. Akpa Paul Olowoyo Akinkunmi P. Okekunle Ezinne O. Uvere Omotolani Titilayo Ajala Chukwuemeka Nwimo Olayinka J. Adebajo Adewale E. Ayodele Ayodeji Salami Oyedunni S. Arulogun Olanrewaju Olaniyan Richard W. Walker Carolyn Jenkins Bruce Ovbiagele Mayowa Owolabi |
| author_facet | Olalekan J. Taiwo Joshua O. Akinyemi Ayodeji Adebayo Oluwafemi A. Popoola Rufus O. Akinyemi Onoja M. Akpa Paul Olowoyo Akinkunmi P. Okekunle Ezinne O. Uvere Omotolani Titilayo Ajala Chukwuemeka Nwimo Olayinka J. Adebajo Adewale E. Ayodele Ayodeji Salami Oyedunni S. Arulogun Olanrewaju Olaniyan Richard W. Walker Carolyn Jenkins Bruce Ovbiagele Mayowa Owolabi |
| author_sort | Olalekan J. Taiwo |
| collection | DOAJ |
| description | Abstract 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. |
| format | Article |
| id | doaj-art-ccac4d2ee0f543d485fe3c5c9a90eb25 |
| institution | Kabale University |
| issn | 1471-2458 |
| language | English |
| publishDate | 2025-02-01 |
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| spelling | doaj-art-ccac4d2ee0f543d485fe3c5c9a90eb252025-02-09T12:57:28ZengBMCBMC Public Health1471-24582025-02-0125111410.1186/s12889-025-21653-3Geo-behavioural predictors of diagnosed hypertension in Igbo Ora Area, Oyo State, NigeriaOlalekan J. Taiwo0Joshua O. Akinyemi1Ayodeji Adebayo2Oluwafemi A. Popoola3Rufus O. Akinyemi4Onoja M. Akpa5Paul Olowoyo6Akinkunmi P. Okekunle7Ezinne O. Uvere8Omotolani Titilayo Ajala9Chukwuemeka Nwimo10Olayinka J. Adebajo11Adewale E. Ayodele12Ayodeji Salami13Oyedunni S. Arulogun14Olanrewaju Olaniyan15Richard W. Walker16Carolyn Jenkins17Bruce Ovbiagele18Mayowa Owolabi19Department of Geography, Faculty of the Social Sciences, University of IbadanDepartment of Epidemiology and Medical Statistics, College of Medicine, University of IbadanDepartment of Community Medicine, College of Medicine, University of IbadanDepartment of Community Medicine, College of Medicine, University of IbadanNeuroscience and Ageing Research Unit, IAMRAT, College of Medicine, University of IbadanDepartment of Epidemiology and Medical Statistics, College of Medicine, University of IbadanDepartment of Medicine, Afe Babalola UniversityDepartment of Medicine, College of Medicine, University of Ibadan, and University College HospitalCenter for Genomic and Precision Medicine, College of Medicine, University of IbadanCenter for Genomic and Precision Medicine, College of Medicine, University of IbadanCenter for Genomic and Precision Medicine, College of Medicine, University of IbadanCenter for Genomic and Precision Medicine, College of Medicine, University of IbadanCenter for Genomic and Precision Medicine, College of Medicine, University of IbadanDepartment of Pathology, College of Medicine, University of IbadanDepartment of Health Promotion and Education, College of Medicine, University of IbadanDepartment of Economics, Faculty of Social Sciences, University of IbadanPopulation Health Sciences Institute, Newcastle UniversityCollege of Nursing, Medical University of South CarolinaNorthern California Institute for Research and Education, University of CaliforniaCenter for Genomic and Precision Medicine, College of Medicine, University of IbadanAbstract 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.https://doi.org/10.1186/s12889-025-21653-3Diagnosed hypertensionNormalised difference vegetation indexNighttime light |
| spellingShingle | Olalekan J. Taiwo Joshua O. Akinyemi Ayodeji Adebayo Oluwafemi A. Popoola Rufus O. Akinyemi Onoja M. Akpa Paul Olowoyo Akinkunmi P. Okekunle Ezinne O. Uvere Omotolani Titilayo Ajala Chukwuemeka Nwimo Olayinka J. Adebajo Adewale E. Ayodele Ayodeji Salami Oyedunni S. Arulogun Olanrewaju Olaniyan Richard W. Walker Carolyn Jenkins Bruce Ovbiagele Mayowa Owolabi Geo-behavioural predictors of diagnosed hypertension in Igbo Ora Area, Oyo State, Nigeria BMC Public Health Diagnosed hypertension Normalised difference vegetation index Nighttime light |
| title | Geo-behavioural predictors of diagnosed hypertension in Igbo Ora Area, Oyo State, Nigeria |
| title_full | Geo-behavioural predictors of diagnosed hypertension in Igbo Ora Area, Oyo State, Nigeria |
| title_fullStr | Geo-behavioural predictors of diagnosed hypertension in Igbo Ora Area, Oyo State, Nigeria |
| title_full_unstemmed | Geo-behavioural predictors of diagnosed hypertension in Igbo Ora Area, Oyo State, Nigeria |
| title_short | Geo-behavioural predictors of diagnosed hypertension in Igbo Ora Area, Oyo State, Nigeria |
| title_sort | geo behavioural predictors of diagnosed hypertension in igbo ora area oyo state nigeria |
| topic | Diagnosed hypertension Normalised difference vegetation index Nighttime light |
| url | https://doi.org/10.1186/s12889-025-21653-3 |
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