Explaining population trends in cardiovascular risk: protocol for a comparative analysis of health transitions in South Africa and England using nationally representative survey data.
Explaining population trends in cardiovascular risk: protocol for a comparative analysis of health transitions in South Africa and England using nationally representative survey data.
复制标题
解释心血管风险的人口趋势：使用具有全国代表性的调查数据对南非和英国的健康转变进行比较分析的方案。
DOI：
10.1136/bmjopen-2022-061034
复制
发表时间：
2022-03-29
期刊：
影响因子：
2.9
通讯作者：
Cois A
中科院分区：
文献类型：
--
作者：
Adjaye-Gbewonyo K;Cois A
心血管疾病（CVD）是全球主要死亡原因，与其他主要非传染性疾病有共同的决定因素。心血管疾病的风险因素在人口调查中进行常规测量，从而提供了一个研究健康转变的机会。了解那些没有遵循预期路径的国家的健康转型的驱动因素，与那些例示“流行病学转型”模式的国家（如英国）相比，可以产生关于资源最好用于减少疾病负担的知识。本研究旨在通过确定和量化中等收入非洲环境与高收入欧洲环境相比心血管疾病风险变化的驱动因素来研究流行病学转变的概念。这是对1998年至2017年期间在南非和英格兰进行的多项人口调查范围内收集的数据进行的二次联合分析，这些调查针对的是全国代表性的成年人口样本。该研究将使用经验证的非实验室风险评分来估计和比较人群中总CVD风险的分布和趋势。统计建模技术（固定效应和随机效应多水平回归模型和结构方程模型）将用于研究各种因素如何解释这两个国家心血管疾病风险随时间的变化。本研究已获得格林威治大学（20.5.6.8）和斯泰伦博斯大学（X21/09/027）研究伦理委员会的批准。它使用来自人口调查的匿名微观数据，这些数据得到了相关机构的伦理批准，没有额外的原始数据收集。研究结果将通过以下方式传播：（1）在开放获取期刊上发表同行评审文章;（2）政策简报;（3）各种会议;（4）旨在接触卫生专业人员、政府机构、民间社会和普通公众的公众参与活动。一个统一的数据集将通过在线储存库向公众提供。
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 anonymised 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 harmonised data set will be made publicly available through online repositories.
登录
查看更多内容
DOI：
10.1016/j.socscimed.2017.12.003
发表时间：
2018-01
期刊：
Social science & medicine (1982)
影响因子：
--
作者：
Adjaye-Gbewonyo K;Kawachi I;Subramanian SV;Avendano M
通讯作者：
Avendano M
影响因子：
12
作者：
Cavallo, Angelo;Ghezzi, Antonio;Pellizzoni, Elena
通讯作者：
Pellizzoni, Elena
影响因子：
4.5
作者：
Kabudula CW;Houle B;Collinson MA;Kahn K;Gómez-Olivé FX;Clark SJ;Tollman S
通讯作者：
Tollman S
影响因子：
4.5
作者：
Cois A;Ehrlich R
通讯作者：
Ehrlich R
影响因子：
9.3
作者：
Gaziano TA;Pandya A;Steyn K;Levitt N;Mollentze W;Joubert G;Walsh CM;Motala AA;Kruger A;Schutte AE;Naidoo DP;Prakaschandra DR;Laubscher R
通讯作者：
Laubscher R