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STS489 Glory A. et al.

                        Geographic variation, trends and determinants of
                         hypertension in South African adult population,
                                            2008 -2017
                          1
                                                                    1
                                                                                     3
              Glory Atilola , Ngianga-Bakwin Kandala 1,2 , Guangquan Li ; Samuel Manda
               1 Northumbria University, Department of Mathematics, Physics and Electrical Engineering,
              Faculty of Engineering and Environment, Newcastle upon Tyne, NE1 8ST, United Kingdom
             2 University of the Witwatersrand, Division of Epidemiology and Biostatistics, School of Public
                                    Health, Johannesburg, South Africa
              3 Biostatistics Research Unit, South African Medical Research Council, Pretoria South Africa

            Abstract
            The burden of hypertension in Sub-Saharan Africa in the past two decades has
            become a serious cause for regional concern. High blood pressure is the most
            powerful predictor of stroke and other cardiovascular outcomes in the region.
            An estimated 11.1% rise in regional burden was reported between 1990 and
            2010 along with a projected increase of 216.8 million affected individuals by
            2030 from 130.2 million in 2010 across the region especially in South Africa. In
            this  study,  we  investigate  hotspots,  temporal  trends  and  determinants  of
            prevalent hypertension in South African adult population between 2008 and
            2017.  We  utilized  spatial  and  spatio-temporal  structured  geo-additive
            regression models to map hotspots, and temporal trends of hypertension in
            South African adult population between 2008 and 2017. Known individual risk
            factors  were  controlled  for.  Analysis  was  conducted  for  four  consecutive
            national income dynamics household surveys. Implementation was carried out
            within  Bayesian  framework  using  MCMC  simulation  methods.  An  overall
            absolute decline of 6% point and a relative decline of 24% in the prevalence
            of  hypertension  were  found  at  the  national  level  between  2012  and  2017.
            Hotspots exist across districts in Western Cape and Eastern Cape while districts
            in Limpopo province had considerably low risk of hypertension. This pattern
            of  geographic  variation  in  risk  was  consistently  observed  over  the  four
            consecutive  time  points  between  2008  and  2017.  Controlling  for  known
            individual risk factors explained a substantial amount of geographic variation
            in risk over time except in RSM in North West, Uthukela and Ugu districts in
            Kwazulu-Natal where average risk of hypertension remained high. Risk factors
            of  hypertension  in  South  African  adult  population  include  age,  coloured
            population  group,  education,  lack  of  exercise  and  diabetes.  Study findings
            demonstrate  evidence  that  South  Africa  is  making  progress  towards  the
            national  2020  target  of  25%  reduction  in  prevalent  hypertension  at  the
            national level. However, considerable variation in risk exists across the districts.
            Cost-effective  policy  responses  to  the  emerging  trends  in  cardiovascular
            disease burden across the region depend on accurate estimates of distribution
            and  determinants  of  cardiovascular  health  outcomes  at  both  national  and


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