Tangirala Sivateja, Tierney Braden T, Patel Chirag J
Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Department of Statistics and Data Science, Cornell University, Ithaca, NY, USA.
Commun Med (Lond). 2023 Mar 30;3(1):45. doi: 10.1038/s43856-023-00271-3.
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.
随着疫情的发展，由于各种环境和社会人口因素导致的新冠病毒检测呈阳性及住院风险可能会发生变化。
我们调查了英国生物银行参与者在新冠病毒感染结果出现之前采集的360种暴露因素之间的关联，其中包括分别于2020年7月17日和2021年2月2日采集的9268名和38837名不重叠的参与者。这360种暴露因素包括在新冠病毒感染时间段之前10 - 14年测量的临床生物标志物（如体重指数）、健康指标（如医生诊断的糖尿病）以及环境/行为变量（如空气污染）。
例如，我们在此表明，“家中有儿子和/或女儿的参与者”在各时间点之间的发病率从20%增加到32%（风险差异为12%）。此外，我们发现随着时间的推移，年龄与新冠病毒检测呈阳性的关联越来越大，风险比[RR]（每增加10岁）从0.81增加到0.6（住院RR分别从1.18增加到2.63）。
我们的数据驱动方法表明，疫情时间在识别与检测呈阳性和住院相关的风险因素方面发挥作用。
