Hazelhurst Scott, Boua Palwendé, Choudhury Ananyo, Madala Siyanda, Sengupta Dhriti, Tluway Furahini, Ramsay Michèle
Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg.
School of Electrical & Information Engineering, University of the Witwatersrand, Johannesburg, South Africa.
medRxiv. 2024 Aug 22:2024.08.22.24312411. doi: 10.1101/2024.08.22.24312411.
Socio-economic status of participants in many public health, epidemiological, and genome-wide association studies is an important trait of interest. It is often used in these studies as a measure of direct interest or as a covariate. The Africa Wits INDEPTH Partnership for Genomic and Environmental Research (AWI-Gen) explores genomic and environmental factors in non-communicable diseases, particularly cardio-metabolic disease. In Phase I of AWI-Gen, approximately 12,000 participants were recruited at six sites in four African countries. Participants were asked questions about asset ownership. This technical note describes how AWI-Gen computed socio-economic status from the asset register.
许多公共卫生、流行病学和全基因组关联研究中参与者的社会经济地位是一个重要的研究特征。在这些研究中,它经常被用作直接研究的指标或协变量。非洲维特沃特斯兰德大学深入基因组与环境研究合作组织(AWI-Gen)探索非传染性疾病,特别是心血管代谢疾病中的基因组和环境因素。在AWI-Gen的第一阶段,在四个非洲国家的六个地点招募了约12000名参与者。参与者被问及有关资产拥有情况的问题。本技术说明描述了AWI-Gen如何根据资产登记册计算社会经济地位。