Centre for Public Health and Wellbeing, University of the West of England, Frenchay Campus, Coldharbour Lane, Bristol BS16 1QY, UK.
Public Health. 2020 Aug;185:261-263. doi: 10.1016/j.puhe.2020.06.056. Epub 2020 Jul 7.
There is emerging evidence about characteristics that may increase the risk of coronavirus disease 2019 (COVID-19) mortality, but they are highly correlated.
An ecological analysis was used to estimate associations between these variables and age-standardised COVID-19 mortality rates at the local authority level.
Ethnicity, population density and overweight/obesity were all found to have strong independent associations with COVID-19 mortality, at the local authority level.
This analysis provides some preliminary evidence about which variables are independently associated with COVID-19 mortality and suggests that others (deprivation and pollution) are not directly linked. It highlights the importance of multivariate analyses to understand the factors that increase vulnerability to COVID-19.
越来越多的证据表明,一些特征可能会增加 2019 年冠状病毒病(COVID-19)死亡的风险,但这些特征高度相关。
本研究采用生态分析的方法,来评估地方政府层面这些变量与年龄标准化 COVID-19 死亡率之间的关联。
在地方政府层面,种族、人口密度和超重/肥胖都与 COVID-19 死亡率有很强的独立关联。
本分析为哪些变量与 COVID-19 死亡率有独立关联提供了一些初步证据,同时表明其他变量(贫困和污染)与之没有直接联系。它突出了多变量分析对于理解增加 COVID-19 脆弱性的因素的重要性。