COVID-19基因环境研究中健康因素的社会决定因素:挑战与机遇

Jimmy Phuong, Naomi O. Riches, Charisse Madlock-Brown, Deborah Duran, Luca Calzoni, Juan C. Espinoza, Gora Datta, Ramakanth Kavuluru, Nicole G. Weiskopf, Cavin K. Ward-Caviness, Asiyah Yu Lin
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引用次数: 4

摘要

一个人的健康状况特征往往取决于他们的生活、成长、学习方式、遗传以及获得卫生保健的机会。然而,研究健康的社会决定因素(行为、社会文化和物理环境因素)、人口统计学的作用和健康结果之间关系的研究往往不能很好地反映这些关系,导致误解、研究可重复性有限、数据集代表性有限和二级研究使用能力有限。对于哪些问题可以或不可以对COVID-19进行严格研究,这是一个深刻的障碍。在实践中,基因-环境相互作用的研究为将这些因素纳入研究铺平了道路。同样,随着卫生系统、患者和社区卫生参与旨在填补促进健康和福祉的知识空白,我们对健康的社会决定因素的理解也在不断扩大,数据收集方式也在多样化。在这里,我们提出了一个概念框架,改编自基因-环境相互作用研究中的人口健康框架、社会生态模型和因果模型,将每个领域的核心结构与多学科科学所需的实际考虑相结合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Social Determinants of Health Factors for Gene–Environment COVID-19 Research: Challenges and Opportunities

Social Determinants of Health Factors for Gene–Environment COVID-19 Research: Challenges and Opportunities

The characteristics of a person's health status are often guided by how they live, grow, learn, their genetics, as well as their access to health care. Yet, all too often, studies examining the relationship between social determinants of health (behavioral, sociocultural, and physical environmental factors), the role of demographics, and health outcomes poorly represent these relationships, leading to misinterpretations, limited study reproducibility, and datasets with limited representativeness and secondary research use capacity. This is a profound hurdle in what questions can or cannot be rigorously studied about COVID-19. In practice, gene–environment interactions studies have paved the way for including these factors into research. Similarly, our understanding of social determinants of health continues to expand with diverse data collection modalities as health systems, patients, and community health engagement aim to fill the knowledge gaps toward promoting health and wellness. Here, a conceptual framework is proposed, adapted from the population health framework, socioecological model, and causal modeling in gene–environment interaction studies to integrate the core constructs from each domain with practical considerations needed for multidisciplinary science.

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