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可改变和不可改变的 COVID-19 风险因素,以及与流感和肺炎风险因素的比较:来自英国生物银行前瞻性队列研究的结果。

Modifiable and non-modifiable risk factors for COVID-19, and comparison to risk factors for influenza and pneumonia: results from a UK Biobank prospective cohort study.

机构信息

Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.

Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.

出版信息

BMJ Open. 2020 Nov 19;10(11):e040402. doi: 10.1136/bmjopen-2020-040402.

DOI:10.1136/bmjopen-2020-040402
PMID:33444201
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7678347/
Abstract

OBJECTIVES

We aimed to investigate demographic, lifestyle, socioeconomic and clinical risk factors for COVID-19, and compared them to risk factors for pneumonia and influenza in UK Biobank.

DESIGN

Cohort study.

SETTING

UK Biobank.

PARTICIPANTS

49-83 year olds (in 2020) from a general population study.

MAIN OUTCOME MEASURES

Confirmed COVID-19 infection (positive SARS-CoV-2 test). Incident influenza and pneumonia were obtained from primary care data. Poisson regression was used to study the association of exposure variables with outcomes.

RESULTS

Among 235 928 participants, 397 had confirmed COVID-19. After multivariable adjustment, modifiable risk factors were higher body mass index and higher glycated haemoglobin (HbA1C) (RR 1.28 and RR 1.14 per SD increase, respectively), smoking (RR 1.39), slow walking pace as a proxy for physical fitness (RR 1.53), and use of blood pressure medications as a proxy for hypertension (RR 1.33). Higher forced expiratory volume in 1 s (FEV1) and high-density lipoprotein (HDL) cholesterol were both associated with lower risk (RR 0.84 and RR 0.83 per SD increase, respectively). Non-modifiable risk factors included male sex (RR 1.72), black ethnicity (RR 2.00), socioeconomic deprivation (RR 1.17 per SD increase in Townsend Index), and high cystatin C (RR 1.13 per SD increase). The risk factors overlapped with pneumonia somewhat, less so for influenza. The associations with modifiable risk factors were generally stronger for COVID-19, than pneumonia or influenza.

CONCLUSION

These findings suggest that modification of lifestyle may help to reduce the risk of COVID-19 and could be a useful adjunct to other interventions, such as social distancing and shielding of high risk.

摘要

目的

我们旨在研究 COVID-19 的人口统计学、生活方式、社会经济和临床危险因素,并将其与英国生物银行中肺炎和流感的危险因素进行比较。

设计

队列研究。

设置

英国生物银行。

参与者

来自一般人群研究的 49-83 岁(2020 年)的人群。

主要观察指标

确诊的 COVID-19 感染(SARS-CoV-2 检测阳性)。通过初级保健数据获得流感和肺炎的发病情况。采用泊松回归研究暴露变量与结局的关系。

结果

在 235928 名参与者中,有 397 人确诊 COVID-19。经过多变量调整后,可改变的危险因素包括较高的体重指数和糖化血红蛋白(HbA1C)(分别增加 1 个标准差时 RR 为 1.28 和 1.14)、吸烟(RR 1.39)、作为身体适应性的步行速度较慢(RR 1.53)以及作为高血压的替代指标的血压药物的使用(RR 1.33)。较高的用力呼气量(FEV1)和高密度脂蛋白(HDL)胆固醇都与较低的风险相关(分别增加 1 个标准差时 RR 为 0.84 和 0.83)。不可改变的危险因素包括男性(RR 1.72)、黑人种族(RR 2.00)、社会经济贫困(Townsend 指数每增加 1 个标准差时 RR 为 1.17)和高胱氨酸蛋白酶 C(RR 1.13)。这些危险因素与肺炎有一定的重叠,与流感的重叠较少。与可改变的危险因素的相关性对于 COVID-19 来说通常更强,而对于肺炎或流感则较弱。

结论

这些发现表明,生活方式的改变可能有助于降低 COVID-19 的风险,并且可能是社交隔离和高危人群保护等其他干预措施的有益补充。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a787/7678347/f2568bdeb078/bmjopen-2020-040402f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a787/7678347/8da0380365a9/bmjopen-2020-040402f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a787/7678347/f2568bdeb078/bmjopen-2020-040402f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a787/7678347/8da0380365a9/bmjopen-2020-040402f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a787/7678347/f2568bdeb078/bmjopen-2020-040402f02.jpg

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1
Association of obesity and its genetic predisposition with the risk of severe COVID-19: Analysis of population-based cohort data.肥胖及其遗传易感性与 COVID-19 重症风险的关联:基于人群队列数据的分析。
Metabolism. 2020 Nov;112:154345. doi: 10.1016/j.metabol.2020.154345. Epub 2020 Aug 22.
2
Multimorbidity, polypharmacy, and COVID-19 infection within the UK Biobank cohort.英国生物库队列中的多病共存、多种药物并用和 COVID-19 感染。
PLoS One. 2020 Aug 20;15(8):e0238091. doi: 10.1371/journal.pone.0238091. eCollection 2020.
3
Overweight, obesity, and risk of hospitalization for COVID-19: A community-based cohort study of adults in the United Kingdom.
2019冠状病毒病(COVID-19)与流感临床特征的差异:一项系统综述和荟萃分析
NPJ Prim Care Respir Med. 2025 Jan 28;35(1):8. doi: 10.1038/s41533-025-00414-0.
4
Risk factors for all-cause mortality during the COVID-19 pandemic compared with the pre-pandemic period in an adult population of Arkhangelsk, Russia.俄罗斯阿尔汉格尔斯克成年人群中,与疫情前时期相比,新冠疫情期间全因死亡率的风险因素。
Sci Rep. 2025 Jan 7;15(1):1050. doi: 10.1038/s41598-025-85360-0.
5
The association of overweight, obesity, and long-term obesity with SARS-CoV-2 infection: a meta-analysis of 9 population-based cohorts from the Netherlands Cohorts Consortium.超重、肥胖及长期肥胖与严重急性呼吸综合征冠状病毒2(SARS-CoV-2)感染的关联:来自荷兰队列联盟9个基于人群队列的荟萃分析
Int J Obes (Lond). 2025 Apr;49(4):586-595. doi: 10.1038/s41366-024-01660-x. Epub 2024 Oct 31.
6
Toward Tailoring Just-in-Time Adaptive Intervention Systems for Workplace Stress Reduction: Exploratory Analysis of Intervention Implementation.面向定制及时自适应干预系统以减少工作场所压力:干预实施的探索性分析。
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7
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8
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Front Public Health. 2024 Jul 30;12:1367480. doi: 10.3389/fpubh.2024.1367480. eCollection 2024.
9
Changing risk factors for developing SARS-CoV-2 infection from Delta to Omicron.Delta 株向 Omicron 株变异时发生 SARS-CoV-2 感染的风险因素变化。
PLoS One. 2024 May 15;19(5):e0299714. doi: 10.1371/journal.pone.0299714. eCollection 2024.
10
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Proc Natl Acad Sci U S A. 2020 Sep 1;117(35):21011-21013. doi: 10.1073/pnas.2011086117. Epub 2020 Aug 11.
4
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5
BMI and future risk for COVID-19 infection and death across sex, age and ethnicity: Preliminary findings from UK biobank.体重指数与不同性别、年龄和种族的COVID-19感染及死亡未来风险:英国生物银行的初步发现
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6
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7
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8
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