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Mapping national, regional and local prevalence of hypertension and diabetes in Ethiopia using geospatial analysis

OBJECTIVES: This study aimed to map the national, regional and local prevalence of hypertension and diabetes in Ethiopia. DESIGN AND SETTING: Nationwide cross-sectional survey in Ethiopia combined with georeferenced ecological level data from publicly available sources. PARTICIPANTS: 9801 participan...

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Autores principales: Koye, Digsu Negese, Melaku, Yohannes Adama, Gelaw, Yalemzewod Assefa, Zeleke, Berihun Megabiaw, Adane, Akilew Awoke, Tegegn, Henok Getachew, Gebreyohannes, Eyob Alemayehu, Erku, Daniel Asfaw, Tesfay, Fisaha Haile, Gesesew, Hailay Abrha, Mekonnen, Alemayehu, Dadi, Abel Fekadu, Alene, Kefyalew Addis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9743363/
https://www.ncbi.nlm.nih.gov/pubmed/36600383
http://dx.doi.org/10.1136/bmjopen-2022-065318
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author Koye, Digsu Negese
Melaku, Yohannes Adama
Gelaw, Yalemzewod Assefa
Zeleke, Berihun Megabiaw
Adane, Akilew Awoke
Tegegn, Henok Getachew
Gebreyohannes, Eyob Alemayehu
Erku, Daniel Asfaw
Tesfay, Fisaha Haile
Gesesew, Hailay Abrha
Mekonnen, Alemayehu
Dadi, Abel Fekadu
Alene, Kefyalew Addis
author_facet Koye, Digsu Negese
Melaku, Yohannes Adama
Gelaw, Yalemzewod Assefa
Zeleke, Berihun Megabiaw
Adane, Akilew Awoke
Tegegn, Henok Getachew
Gebreyohannes, Eyob Alemayehu
Erku, Daniel Asfaw
Tesfay, Fisaha Haile
Gesesew, Hailay Abrha
Mekonnen, Alemayehu
Dadi, Abel Fekadu
Alene, Kefyalew Addis
author_sort Koye, Digsu Negese
collection PubMed
description OBJECTIVES: This study aimed to map the national, regional and local prevalence of hypertension and diabetes in Ethiopia. DESIGN AND SETTING: Nationwide cross-sectional survey in Ethiopia combined with georeferenced ecological level data from publicly available sources. PARTICIPANTS: 9801 participants aged between 15 and 69 years. PRIMARY OUTCOME MEASURES: Prevalence of hypertension and diabetes were collected using the WHO’s STEPS survey approach. Bayesian model-based geostatistical techniques were used to estimate hypertension and diabetes prevalence at national, regional and pixel levels (1×1 km(2)) with corresponding 95% credible intervals (95% CrIs). RESULTS: The national prevalence was 19.2% (95% CI: 18.4 to 20.0) for hypertension and 2.8% (95% CI: 2.4 to 3.1) for diabetes. Substantial variation was observed in the prevalence of these diseases at subnational levels, with the highest prevalence of hypertension observed in Addis Ababa (30.6%) and diabetes in Somali region (8.7%). Spatial overlap of high hypertension and diabetes prevalence was observed in some regions such as the Southern Nations, Nationalities and People’s region and Addis Ababa. Population density (number of people/km(2)) was positively associated with the prevalence of hypertension (β: 0.015; 95% CrI: 0.003–0.027) and diabetes (β: 0.046; 95% CrI: 0.020–0.069); whereas altitude in kilometres was negatively associated with the prevalence of diabetes (β: –0.374; 95% CrI: –0.711 to –0.044). CONCLUSIONS: Spatial clustering of hypertension and diabetes was observed at subnational and local levels in Ethiopia, which was significantly associated with population density and altitude. The variation at the subnational level illustrates the need to include environmental drivers in future NCDs burden estimation. Thus, targeted and integrated interventions in high-risk areas might reduce the burden of hypertension and diabetes in Ethiopia.
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spelling pubmed-97433632022-12-13 Mapping national, regional and local prevalence of hypertension and diabetes in Ethiopia using geospatial analysis Koye, Digsu Negese Melaku, Yohannes Adama Gelaw, Yalemzewod Assefa Zeleke, Berihun Megabiaw Adane, Akilew Awoke Tegegn, Henok Getachew Gebreyohannes, Eyob Alemayehu Erku, Daniel Asfaw Tesfay, Fisaha Haile Gesesew, Hailay Abrha Mekonnen, Alemayehu Dadi, Abel Fekadu Alene, Kefyalew Addis BMJ Open Epidemiology OBJECTIVES: This study aimed to map the national, regional and local prevalence of hypertension and diabetes in Ethiopia. DESIGN AND SETTING: Nationwide cross-sectional survey in Ethiopia combined with georeferenced ecological level data from publicly available sources. PARTICIPANTS: 9801 participants aged between 15 and 69 years. PRIMARY OUTCOME MEASURES: Prevalence of hypertension and diabetes were collected using the WHO’s STEPS survey approach. Bayesian model-based geostatistical techniques were used to estimate hypertension and diabetes prevalence at national, regional and pixel levels (1×1 km(2)) with corresponding 95% credible intervals (95% CrIs). RESULTS: The national prevalence was 19.2% (95% CI: 18.4 to 20.0) for hypertension and 2.8% (95% CI: 2.4 to 3.1) for diabetes. Substantial variation was observed in the prevalence of these diseases at subnational levels, with the highest prevalence of hypertension observed in Addis Ababa (30.6%) and diabetes in Somali region (8.7%). Spatial overlap of high hypertension and diabetes prevalence was observed in some regions such as the Southern Nations, Nationalities and People’s region and Addis Ababa. Population density (number of people/km(2)) was positively associated with the prevalence of hypertension (β: 0.015; 95% CrI: 0.003–0.027) and diabetes (β: 0.046; 95% CrI: 0.020–0.069); whereas altitude in kilometres was negatively associated with the prevalence of diabetes (β: –0.374; 95% CrI: –0.711 to –0.044). CONCLUSIONS: Spatial clustering of hypertension and diabetes was observed at subnational and local levels in Ethiopia, which was significantly associated with population density and altitude. The variation at the subnational level illustrates the need to include environmental drivers in future NCDs burden estimation. Thus, targeted and integrated interventions in high-risk areas might reduce the burden of hypertension and diabetes in Ethiopia. BMJ Publishing Group 2022-12-08 /pmc/articles/PMC9743363/ /pubmed/36600383 http://dx.doi.org/10.1136/bmjopen-2022-065318 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Epidemiology
Koye, Digsu Negese
Melaku, Yohannes Adama
Gelaw, Yalemzewod Assefa
Zeleke, Berihun Megabiaw
Adane, Akilew Awoke
Tegegn, Henok Getachew
Gebreyohannes, Eyob Alemayehu
Erku, Daniel Asfaw
Tesfay, Fisaha Haile
Gesesew, Hailay Abrha
Mekonnen, Alemayehu
Dadi, Abel Fekadu
Alene, Kefyalew Addis
Mapping national, regional and local prevalence of hypertension and diabetes in Ethiopia using geospatial analysis
title Mapping national, regional and local prevalence of hypertension and diabetes in Ethiopia using geospatial analysis
title_full Mapping national, regional and local prevalence of hypertension and diabetes in Ethiopia using geospatial analysis
title_fullStr Mapping national, regional and local prevalence of hypertension and diabetes in Ethiopia using geospatial analysis
title_full_unstemmed Mapping national, regional and local prevalence of hypertension and diabetes in Ethiopia using geospatial analysis
title_short Mapping national, regional and local prevalence of hypertension and diabetes in Ethiopia using geospatial analysis
title_sort mapping national, regional and local prevalence of hypertension and diabetes in ethiopia using geospatial analysis
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9743363/
https://www.ncbi.nlm.nih.gov/pubmed/36600383
http://dx.doi.org/10.1136/bmjopen-2022-065318
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