Modelling of South African Hypertension: Application of Panel Quantile Regression

Anesu Gelfand Kuhudzai, Guido Van Hal, Stefan Van Dongen and Muhammad Ehsanul Hoque
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Anesu Gelfand Kuhudzai: Department of Social Epidemiology and Health Policy, University of Antwerp, 2610 Antwerp, Belgium
Guido Van Hal: Department of Social Epidemiology and Health Policy, University of Antwerp, 2610 Antwerp, Belgium
Stefan Van Dongen: Department of Evolutionary Ecology and Biology, University of Antwerp, 2610 Antwerp, Belgium
Muhammad Ehsanul Hoque: Research Department, Management College of Southern Africa, Durban 4001, South Africa

IJERPH, 2022, vol. 19, issue 10, 1-10

Abstract: Hypertension is one of the crucial risk factors for morbidity and mortality around the world, and South Africa has a significant unmet need for hypertension care. This study aims to establish the potential risk factors of hypertension amongst adults in South Africa attributable to high systolic and diastolic blood pressure over time by fitting panel quantile regression models. Data obtained from the South African National Income Dynamics Study (NIDS) Household Surveys carried out from 2008 to 2018 (Wave 1 to Wave 5) was employed to develop both the fixed effects and random effects panel quantile regression models. Age, BMI, gender (males), race, exercises, cigarette consumption, and employment status were significantly associated with either one of the BP measures across all the upper quantiles or at the 75th quantile only. Suggesting that these risk factors have contributed to the exacerbation of uncontrolled hypertension prevalence over time in South Africa.

Keywords: hypertension; fixed effects model; random effects model; panel quantile regression; South Africa (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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