Prioritization of COVID-19 risk factors in July 2020 and February 2021 in the UK.
Prioritization of COVID-19 risk factors in July 2020 and February 2021 in the UK.
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DOI：
10.1038/s43856-023-00271-3
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发表时间：
2023-03-30
期刊：
影响因子：
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通讯作者：
Patel, Chirag J
中科院分区：
文献类型：
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作者：
Tangirala, Sivateja;Tierney, Braden T;Patel, Chirag J
由于各种环境和社会人口因素导致的COVID-19阳性和住院风险可能随着大流行的进展而变化。我们调查了英国生物银行参与者在COVID-19结果之前采样的360次暴露的相关性，其中包括分别于2020年7月17日和2021年2月2日采样的9268和38,837名非重叠参与者。360次暴露包括临床生物标志物（如BMI）、健康指标（如医生诊断的糖尿病）和环境/行为变量（如空气污染），这些变量在COVID-19时间段前10-14年测量。例如，我们在这里表明，“家庭中有儿子和/或女儿的参与者”在时间点之间与发病率从20%增加到32%（风险差异为12%）相关。此外，我们发现随着时间的推移，年龄与COVID-19阳性的相关性越来越强，风险比[RR]（每10岁增加）为0.81至0.6（住院RR分别为1.18至2.63）。我们的数据驱动方法表明，大流行时间在确定与阳性和住院相关的风险因素方面发挥着作用。社会、人口和环境因素已被证明会影响一个人在接触SARS-CoV-2后是否被感染。然而，目前尚不清楚随着大流行的发展，不同因素的影响是否发生了变化。在这里，我们分析了360个因素，以及它们是否与英国两段时间内被发现感染SARS-CoV-2的人数比例有关。总体而言，我们发现，与大流行后期相比，不同的风险因素与大流行早期的SARS-CoV-2感染检测呈阳性相关。这些结果突出表明，随着大流行的发展，随着感染风险和易感性的变化，应调整公共卫生优先事项。Tangirala等人评估了在英国生物银行（UK Biobank）的参与者中，在两次非连续的大流行浪潮中，各种暴露与COVID-19阳性和住院之间的关系变化。他们发现，某些风险因素（如年龄和家庭相关因素）之间的关联强度会随着时间而变化。
Risk for COVID-19 positivity and hospitalization due to diverse environmental and sociodemographic factors may change as the pandemic progresses. We investigated the association of 360 exposures sampled before COVID-19 outcomes for participants in the UK Biobank, including 9268 and 38,837 non-overlapping participants, sampled at July 17, 2020 and February 2, 2021, respectively. The 360 exposures included clinical biomarkers (e.g., BMI), health indicators (e.g., doctor-diagnosed diabetes), and environmental/behavioral variables (e.g., air pollution) measured 10–14 years before the COVID-19 time periods. Here we show, for example, “participant having son and/or daughter in household” was associated with an increase in incidence from 20% to 32% (risk difference of 12%) between timepoints. Furthermore, we find age to be increasingly associated with COVID-19 positivity over time from Risk Ratio [RR] (per 10-year age increase) of 0.81 to 0.6 (hospitalization RR from 1.18 to 2.63, respectively). Our data-driven approach demonstrates that time of pandemic plays a role in identifying risk factors associated with positivity and hospitalization. Social, demographic, and environmental factors have been shown to impact whether a person becomes infected following SARS-CoV-2 exposure. However, it is unclear whether the impact of different factors has changed as the pandemic has progressed. Here we analyze 360 factors and whether they are associated with the proportion of people being found to be infected with SARS-CoV-2 across two periods of time in the UK. Overall, we found that different risk factors were associated with testing positive for SARS-CoV-2 infection early in the pandemic compared to later in the pandemic. These results highlight that public health priorities should be adjusted as a consequence of changing risk and susceptibility to infection as the pandemic progresses. Tangirala et al. evaluate changes in the associations between various exposures and COVID-19 positivity and hospitalization across two non-consecutive waves of the pandemic in participants of the UK Biobank. They find that the strength of the association between certain risk factors, such as age and household-related factors, change over time.