TY - JOUR
T1 - Mapping national, regional and local prevalence of hypertension and diabetes in Ethiopia using geospatial analysis
AU - Koye, Digsu Negese
AU - Melaku, Yohannes Adama
AU - Gelaw, Yalemzewod Assefa
AU - Zeleke, Berihun Megabiaw
AU - Adane, Akilew Awoke
AU - Tegegn, Henok Getachew
AU - Gebreyohannes, Eyob Alemayehu
AU - Erku, Daniel Asfaw
AU - Tesfay, Fisaha Haile
AU - Gesesew, Hailay Abrha
AU - Mekonnen, Alemayehu
AU - Dadi, Abel Fekadu
AU - Alene, Kefyalew Addis
N1 - Publisher Copyright:
© 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.
PY - 2022/12
Y1 - 2022/12
N2 - 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 km2) 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/km2) 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.
AB - 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 km2) 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/km2) 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.
KW - Diabetes
KW - disease prevalence
KW - Hypertension
KW - Ethiopia
UR - http://www.scopus.com/inward/record.url?scp=85145512205&partnerID=8YFLogxK
U2 - 10.1136/bmjopen-2022-065318
DO - 10.1136/bmjopen-2022-065318
M3 - Article
C2 - 36600383
AN - SCOPUS:85145512205
SN - 2044-6055
VL - 12
SP - e065318
JO - BMJ Open
JF - BMJ Open
IS - 12
ER -