dc.description.abstract | Background
Comorbidity of hypertension and diabetes leads to signi cant risks of mortality and
other non-communicable diseases (NCDs) such as heart attacks and strokes. Kenya, like
many low and middle-income countries (LMICs), faces a rapid increase in NCDs burden.
However, sub-national burden pro les to inform health policy at the county level; the
current health planning units are implausible due to small sample sizes from the existing
NCDs data sources in Kenya. The main objective of this study was to determine the
distribution of hypertension and diabetes disease prevalence at county units in Kenya
using small area estimation methods.
Methods
Data from a nationally representative Kenya STEPwise survey for NCDs risk factors
(STEPs-2015) was used. The survey collected health information (physical and
biochemical measurements), risky behaviour and demographic indicators related to
NCDs for 4,500 persons aged 18-69 years. Multivariate conditional autoregressive
models that account for spatial autocorrelation and dependence between diseases (latent
e ects) were t to estimate the county-speci c prevalence of hypertension and diabetes.
Simple multivariate improper CAR, improper multivariate CAR, proper multivariate
CAR and M-model latent e ects were explored. A mixed-e ects multinomial logistic
regression model was t to identify the macro-risk factors of hypertension and diabetes
in Kenya.
Results
The M-model was selected as the best t based on DIC. Substantial geographical
variation in the prevalence of hypertension ranging from 9% in Wajir county and 54% in
Nyeri county while diabetes ranged from 0.1% in Narok to 8.1% in Makueni were
observed. Overall, 47% (22 counties) and 36% (17 counties) had hypertension and
diabetes prevalence estimates above the national burden, 26.4% and 2.7% respectively.
Notably, Mombasa, Kiambu, Embu and Nyeri had a substantial burden of both
hypertension and diabetes. High cholesterol, central obesity, age, BMI, harmful alcohol
intake and high sugar intake were signi cantly associated with hypertension and
diabetes.
Conclusion
The county-speci c prevalence estimates provide the first evaluation of hypertension
and diabetes burden that policymakers can use to inform interventions aimed at
prevention and treatment of NCDs in Kenya. Implementation of comprehensive
screening programs and awareness building for NCDs control are crucial in reducing
hypertension and diabetes burden in Kenya. | en_US |