Institute of Health & Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, G12 8RZ, UK.
General Practice and Primary Care, Institute of Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow, 1 Horselethill Road, Glasgow, G12 9LX, UK.
BMC Med. 2020 May 29;18(1):160. doi: 10.1186/s12916-020-01640-8.
Understanding of the role of ethnicity and socioeconomic position in the risk of developing SARS-CoV-2 infection is limited. We investigated this in the UK Biobank study.
The UK Biobank study recruited 40-70-year-olds in 2006-2010 from the general population, collecting information about self-defined ethnicity and socioeconomic variables (including area-level socioeconomic deprivation and educational attainment). SARS-CoV-2 test results from Public Health England were linked to baseline UK Biobank data. Poisson regression with robust standard errors was used to assess risk ratios (RRs) between the exposures and dichotomous variables for being tested, having a positive test and testing positive in hospital. We also investigated whether ethnicity and socioeconomic position were associated with having a positive test amongst those tested. We adjusted for covariates including age, sex, social variables (including healthcare work and household size), behavioural risk factors and baseline health.
Amongst 392,116 participants in England, 2658 had been tested for SARS-CoV-2 and 948 tested positive (726 in hospital) between 16 March and 3 May 2020. Black and south Asian groups were more likely to test positive (RR 3.35 (95% CI 2.48-4.53) and RR 2.42 (95% CI 1.75-3.36) respectively), with Pakistani ethnicity at highest risk within the south Asian group (RR 3.24 (95% CI 1.73-6.07)). These ethnic groups were more likely to be hospital cases compared to the white British. Adjustment for baseline health and behavioural risk factors led to little change, with only modest attenuation when accounting for socioeconomic variables. Socioeconomic deprivation and having no qualifications were consistently associated with a higher risk of confirmed infection (RR 2.19 for most deprived quartile vs least (95% CI 1.80-2.66) and RR 2.00 for no qualifications vs degree (95% CI 1.66-2.42)).
Some minority ethnic groups have a higher risk of confirmed SARS-CoV-2 infection in the UK Biobank study, which was not accounted for by differences in socioeconomic conditions, baseline self-reported health or behavioural risk factors. An urgent response to addressing these elevated risks is required.
对于种族和社会经济地位在感染 SARS-CoV-2 风险中的作用,人们的了解有限。我们在英国生物库研究中对此进行了调查。
英国生物库研究于 2006-2010 年从一般人群中招募了 40-70 岁的人群,收集了自我定义的种族和社会经济变量的信息(包括地区社会经济贫困程度和教育程度)。从英国公共卫生部获取的 SARS-CoV-2 检测结果与英国生物库的基线数据相关联。使用稳健标准误差的泊松回归来评估暴露与二分类变量(包括检测、检测阳性和住院检测阳性)之间的风险比(RR)。我们还研究了在接受检测的人群中,种族和社会经济地位是否与检测阳性相关。我们调整了协变量,包括年龄、性别、社会变量(包括医疗保健工作和家庭规模)、行为风险因素和基线健康状况。
在英格兰的 392116 名参与者中,在 2020 年 3 月 16 日至 5 月 3 日期间,有 2658 人接受了 SARS-CoV-2 检测,有 948 人检测呈阳性(726 人住院)。黑人组和南亚组更有可能检测呈阳性(RR3.35(95%CI2.48-4.53)和 RR2.42(95%CI1.75-3.36)),而南亚组中的巴基斯坦族裔的风险最高(RR3.24(95%CI1.73-6.07))。与英国白人相比,这些族裔更有可能成为住院病例。调整基线健康和行为风险因素后,结果变化不大,仅在考虑社会经济变量时略有减弱。社会经济贫困程度和没有资格证书与确诊感染的风险增加密切相关(与最贫困的四分位数相比,风险最高的四分位数的 RR2.19(95%CI1.80-2.66)和 RR2.00 与无资格证书相比(95%CI1.66-2.42))。
在英国生物库研究中,一些少数族裔的人感染 SARS-CoV-2 的确诊风险较高,这不能用社会经济条件、基线自我报告的健康状况或行为风险因素来解释。需要紧急应对这些升高的风险。