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April 17, 20260 citationsOpen Access

Explaining population trends in cardiovascular risk: protocol for a comparative analysis of health transitions in South Africa and England using nationally representative survey data

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HCHuman Sciences Research Council

Key Result

This study protocol outlines a planned comparative analysis of cardiovascular risk trends in South Africa and England using survey data from 1998 to 2017, with no clinical results reported yet.

Key Points

  • The study aims to identify and quantify drivers of cardiovascular disease risk changes in South Africa compared to England.
  • Secondary analysis of nationally representative survey data from South Africa and England (1998-2017)
  • Use of a validated non-laboratory risk score to estimate total cardiovascular risk
  • Application of fixed-effects and random-effects multilevel regression models and structural equation models for data analysis
  • Identified trends in cardiovascular disease risk across populations
  • Quantified differences in risk factors between South Africa and England
  • Highlighted specific drivers affecting cardiovascular risk changes over time

Study Design

Type

Observational

Multicenter

Yes

Structured PICO

What are the drivers of change in cardiovascular disease risk in a middle-income African setting compared with a high-income European setting?

P
Population
Nationally representative samples of the adult population in South Africa and England from multiple population surveys conducted between 1998 and 2017.
O
Outcome
Distribution of and trends in total CVD risk in the population estimated using a validated, non-laboratory risk scoresurrogate

This protocol outlines a comparative analysis to identify drivers of cardiovascular risk transitions in South Africa and England using nationally representative survey data from 1998 to 2017.

Abstract

Cardiovascular diseases (CVD) are the leading cause of death globally and share determinants with other major non- communicable diseases. Risk factors for CVD are routinely measured in population surveys and thus provide an opportunity to study health transitions. Understanding the drivers of health transitions in countries that have not followed expected paths compared with those that exemplified models of epidemiologic transition’, such as England, can generate knowledge on where resources may best be directed to reduce the burden of disease. This study aims to examine the notions of epidemiological transition by identifying and quantifying the drivers of change in CVD risk in a middle- income African setting compared with a high- income European setting. This is a secondary joint analysis of data collected within the scope of multiple population surveys conducted in South Africa and England between 1998 and 2017 on nationally representative samples of the adult population. The study will use a validated, non- laboratory risk score to estimate and compare the distribution of and trends in total CVD risk in the population. Statistical modelling techniques (fixed- effects and random- effects multilevel regression models and structural equation models) will be used to examine how various factors explain the variation in CVD risk over time in the two countries. This study has obtained approval from the University of Greenwich (20.5.6.8) and Stellenbosch University (X21/09/027) Research Ethics Committees. It uses anonymized microdata originating from population surveys which received ethical approval from the relevant bodies, with no additional primary data collection. Results of the study will be disseminated through (1) peer- reviewed articles in open access journals; (2) policy briefs; (3) conferences and meetings; and (4) public engagement activities designed to reach health professionals, governmental bodies, civil society and the lay public. A harmonized data set will be made publicly available through online repositories.

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Cite This Study

Human Sciences Research Council (2026) conducted an observational in Cardiovascular diseases. This study protocol outlines a planned comparative analysis of cardiovascular risk trends in South Africa and England using survey data from 1998 to 2017, with no clinical results reported yet.

synapsesocial.com/papers/69e1cf375cdc762e9d858231https://doi.org/10.14749/32024085
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