Partap U, Young E H, Allotey P, Sandhu M S, Reidpath D D
Department of Medicine, University of Cambridge, United Kingdom.
Wellcome Sanger Institute, Hinxton, United Kingdom.
Glob Health Epidemiol Genom. 2018 Aug 22;3:e14. doi: 10.1017/gheg.2018.13. eCollection 2018.
Integration of biomarker data with information on health and lifestyle provides a powerful tool to enhance the scientific value of health research. Existing health and demographic surveillance systems (HDSSs) present an opportunity to create novel biodata resources for this purpose, but data and biological sample collection often presents challenges. We outline some of the challenges in developing these resources and present the outcomes of a biomarker feasibility study embedded within the South East Asia Community Observatory (SEACO) HDSS.
We assessed study-related records to determine the pace of data collection, response from potential participants, and feedback following data and sample collection. Overall and stratified measures of data and sample availability were summarised. Crude prevalence of key risk factors was examined.
Approximately half (49.5%) of invited individuals consented to participate in this study, for a final sample size of 203 (161 adults and 42 children). Women were more likely to consent to participate compared with men, whereas children, young adults and individuals of Malay ethnicity were less likely to consent compared with older individuals or those of any other ethnicity. At least one biological sample (blood from all participants - finger-prick and venous [for serum, plasma and whole blood samples], hair or urine for adults only) was successfully collected from all participants, with blood test data available from over 90% of individuals. Among adults, urine samples were most commonly collected (97.5%), followed by any blood samples (91.9%) and hair samples (83.2%). Cardiometabolic risk factor burden was high (prevalence of elevated HbA1c among adults: 23.8%; of elevated triglycerides among adults: 38.1%; of elevated total cholesterol among children: 19.5%).
In this study, we show that it is feasible to create biodata resources using existing HDSS frameworks, and identify a potentially high burden of cardiometabolic risk factors that requires further evaluation in this population.
将生物标志物数据与健康和生活方式信息相结合，为提升健康研究的科学价值提供了强大工具。现有的健康与人口监测系统（HDSS）为创建用于此目的的新型生物数据资源提供了契机，但数据和生物样本采集往往面临挑战。我们概述了开发这些资源过程中的一些挑战，并展示了东南亚社区观察站（SEACO）HDSS中一项生物标志物可行性研究的结果。
我们评估了与研究相关的记录，以确定数据收集的速度、潜在参与者的反应以及数据和样本收集后的反馈。总结了数据和样本可用性的总体及分层指标。检查了关键风险因素的粗患病率。
约一半（49.5%）受邀个体同意参与本研究，最终样本量为203人（161名成年人和42名儿童）。与男性相比，女性更有可能同意参与，而与年长者或其他任何种族的个体相比，儿童、年轻人和马来族个体同意参与的可能性较小。所有参与者均成功采集到至少一份生物样本（所有参与者的血液——指尖采血和静脉血[用于血清、血浆和全血样本]，仅成年人为毛发或尿液样本），超过90%的个体有血液检测数据。在成年人中，最常采集的是尿液样本（97.5%），其次是任何血液样本（91.9%）和毛发样本（83.2%）。心血管代谢风险因素负担较高（成年人中糖化血红蛋白升高的患病率：23.8%；成年人中甘油三酯升高的患病率：38.1%；儿童中总胆固醇升高的患病率：19.5%）。
在本研究中，我们表明利用现有的HDSS框架创建生物数据资源是可行的，并确定了心血管代谢风险因素的潜在高负担，这需要在该人群中进一步评估。
