BACKGROUND: @entity66 ( @entity66 ) are an important cause of mortality worldwide and the burden associated with them is increasing in Sub-Saharan Africa. The tracking of mortality helps support evidence based health policy and priority setting. Given the growing prevalence of non-communicable diseases in Zimbabwe, a study was designed to determine the mortality attributable to @entity66 in Zimbabwe. METHODS: The study design was a retrospective cross-sectional analysis of national mortality from 1996 to 2007, collated by the Ministry of Health and @entity1 Welfare in Zimbabwe. We employed generalized additive models to flexibly estimate the trend of the @entity24962 mortality and a logistic regression model was used to find significant factors (cause of @entity204 according to the @entity204 certificate) of the @entity24962 mortality and predict @entity24962 mortality to 2040. RESULTS: @entity66 accounted for 8.13  % (95  % CI: 8.08  % - 8.18  %) of all deaths during 1996 to 2007 (p   =   0.005). During the study period @entity24962 mortality rate increased by 29.4  % (95  % CI: 19.9  % - 41.1  %). The association between gender and @entity24962 mortality indicated female mortality was higher for @entity6 (p   <   0.001), @entity101 disease (p   <   0.001), CVD (p   <   0.001) and @entity358 (p   <   0.001), while male mortality was higher for ischaemic (p   =   0.010) and @entity1494 (p   <   0.001). There was no gender difference for endocrine disease (p   =   0.893). Overall, females have 1.65  % higher mortality than males (p   <   0.001). @entity24962 mortality is predicted to increase from 9.6  % (95  % CI: 8.0  % - 11.1  %) in 2015 to 13.7  % (95  % CI: 10.2  % - 17.2  %) in 2040 for males, and from 11.6  % (95  % CI: 10.2  % - 12.9  %) in 2015 to 16.2  % (95  % CI: 13.1  % - 19.3  %) in 2040 in females. CONCLUSION: The findings of this study indicate a growing prevalence of @entity66 and related mortality in Zimbabwe. Health policy decisions and cost-effective preventive strategies to reduce the burden of @entity66 are urgently required.

Burden attributable to XXXX in Zimbabwe: a retrospective cross-sectional study of national mortality data.

@entity1 :: ('9606', 'Species') :: ['Child'] @entity66 :: ('MESH:D004194', 'Disease') :: ['CMDs', 'Cardiometabolic diseases'] @entity6 :: ('MESH:D003920', 'Disease') :: ['diabetes'] @entity101 :: ('MESH:D006973', 'Disease') :: ['hypertensive'] @entity1494 :: ('MESH:D001745', 'Disease') :: ['urinary diseases'] @entity24962 :: ('MESH:C565145', 'Disease') :: ['CMD'] @entity358 :: ('MESH:D008171', 'Disease') :: ['pulmonary disease'] @entity204 :: ('MESH:D003643', 'Disease') :: ['death']
@entity66 :: (MESH:D004194,Disease) :: ['Cardiometabolic Diseases']
