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Environmental and Genetic Determinants of Major Chronic Disease in Beijing–Tianjin–Hebei Region: Protocol for a Community-Based Cohort Study

机译:京津冀地区主要慢性病的环境与遗传决定因素:基于社区队列研究的议定书

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Introduction: Personal lifestyle and air pollution are potential risk factors for major non-communicable diseases (NCDs). However, these risk factors have experienced dramatic changes in the Beijing–Tianjin–Hebei (BTH) region in recent years, and few cohorts have focused on identifying risk factors for major NCDs in this specific region. The current study is a large, prospective, long-term, population-based cohort study that investigated environmental and genetic determinants of NCDs in BTH areas. The results of this study may provide scientific support for efforts to develop health recommendations for personalized prevention. Methods: About 36,000 participants 18 years or older would be obtained by multistage, stratified cluster sampling from five cities for the baseline assessment. Participants underwent seven examinations primarily targeting respiratory and circulatory system function and filled out questionnaires regarding lifestyle behavior, pollutant exposure, medical and family history, medication history, and psychological factors. Biochemistry indicators and inflammation markers were tested, and a biobank was established. Participants will be followed up every 2 years. Genetic determinants of NCDs will be demonstrated by using multiomics, and risk prediction models will be constructed using machine learning methods based on a multitude of environmental exposure, examination data, biomarkers, and psychosocial and behavioral assessments. Significant spatial and temporal differentiation is well-suited to demonstrating the health determinants of NCDs in the BTH region, which may facilitate public health strategies with respect to disease prevention and survivorship-related aspects.
机译:简介:个人生活方式和空气污染是主要的非传染病(NCD)的潜在危险因素。但是,这些风险因素近年来北京 - 天津 - 河北(BTH)地区的巨大变化,很少有群组侧重于识别该具体地区主要NCD的危险因素。目前的研究是一项大,前瞻性,长期,基于人口的队列研究,研究了BTH领域NCD的环境和遗传决定因素。本研究的结果可以为发展为个性化预防建议的努力提供科学支持。方法:大约36,000名18岁或以上的参与者将通过从五个城市进行基线评估的五个城市进行多级分层集群取样。参与者接受了七次考试,主要针对呼吸和循环系统职能,并填写了关于生活方式行为,污染物暴露,医疗和家族史,药物历史和心理因素的问卷。测试生物化学指标和炎症标志物,建立了生物安。参与者将随访每2年一次。通过使用多组合,将通过使用多组合来证明NCD的遗传决定簇,并且使用基于众多环境暴露,检查数据,生物标志物和心理社会和行为评估的机器学习方法构建风险预测模型。显着的空间和时间分化非常适合展示BTH地区NCD的健康决定因素,这可能促进关于疾病预防和生存生存相关方面的公共卫生战略。

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