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2020 年英格兰和威尔士因 COVID-19 和其他死因导致的超额寿命损失及其与性别、社区贫困程度和地区的关系:一项基于登记的研究。

Excess years of life lost to COVID-19 and other causes of death by sex, neighbourhood deprivation, and region in England and Wales during 2020: A registry-based study.

机构信息

Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, England.

NIHR School for Primary Care Research, University of Oxford, Oxford, England.

出版信息

PLoS Med. 2022 Feb 15;19(2):e1003904. doi: 10.1371/journal.pmed.1003904. eCollection 2022 Feb.

DOI:10.1371/journal.pmed.1003904
PMID:35167587
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8846534/
Abstract

BACKGROUND

Deaths in the first year of the Coronavirus Disease 2019 (COVID-19) pandemic in England and Wales were unevenly distributed socioeconomically and geographically. However, the full scale of inequalities may have been underestimated to date, as most measures of excess mortality do not adequately account for varying age profiles of deaths between social groups. We measured years of life lost (YLL) attributable to the pandemic, directly or indirectly, comparing mortality across geographic and socioeconomic groups.

METHODS AND FINDINGS

We used national mortality registers in England and Wales, from 27 December 2014 until 25 December 2020, covering 3,265,937 deaths. YLLs (main outcome) were calculated using 2019 single year sex-specific life tables for England and Wales. Interrupted time-series analyses, with panel time-series models, were used to estimate expected YLL by sex, geographical region, and deprivation quintile between 7 March 2020 and 25 December 2020 by cause: direct deaths (COVID-19 and other respiratory diseases), cardiovascular disease and diabetes, cancer, and other indirect deaths (all other causes). Excess YLL during the pandemic period were calculated by subtracting observed from expected values. Additional analyses focused on excess deaths for region and deprivation strata, by age-group. Between 7 March 2020 and 25 December 2020, there were an estimated 763,550 (95% CI: 696,826 to 830,273) excess YLL in England and Wales, equivalent to a 15% (95% CI: 14 to 16) increase in YLL compared to the equivalent time period in 2019. There was a strong deprivation gradient in all-cause excess YLL, with rates per 100,000 population ranging from 916 (95% CI: 820 to 1,012) for the least deprived quintile to 1,645 (95% CI: 1,472 to 1,819) for the most deprived. The differences in excess YLL between deprivation quintiles were greatest in younger age groups; for all-cause deaths, a mean of 9.1 years per death (95% CI: 8.2 to 10.0) were lost in the least deprived quintile, compared to 10.8 (95% CI: 10.0 to 11.6) in the most deprived; for COVID-19 and other respiratory deaths, a mean of 8.9 years per death (95% CI: 8.7 to 9.1) were lost in the least deprived quintile, compared to 11.2 (95% CI: 11.0 to 11.5) in the most deprived. For all-cause mortality, estimated deaths in the most deprived compared to the most affluent areas were much higher in younger age groups, but similar for those aged 85 or over. There was marked variability in both all-cause and direct excess YLL by region, with the highest rates in the North West. Limitations include the quasi-experimental nature of the research design and the requirement for accurate and timely recording.

CONCLUSIONS

In this study, we observed strong socioeconomic and geographical health inequalities in YLL, during the first calendar year of the COVID-19 pandemic. These were in line with long-standing existing inequalities in England and Wales, with the most deprived areas reporting the largest numbers in potential YLL.

摘要

背景

2019 年冠状病毒病(COVID-19)大流行第一年在英格兰和威尔士的死亡人数在社会经济和地理上分布不均。然而,到目前为止,由于大多数超额死亡率的衡量标准没有充分考虑到不同社会群体之间的死亡年龄分布差异,因此可能低估了不平等的全部程度。我们通过比较地理和社会经济群体之间的死亡率,直接或间接地衡量了大流行期间归因于疾病的年生命损失(YLL)。

方法和发现

我们使用了英格兰和威尔士的国家死亡率登记处的数据,时间范围为 2014 年 12 月 27 日至 2020 年 12 月 25 日,涵盖了 3265937 例死亡。使用 2019 年英格兰和威尔士的单一年龄性别特定生命表计算 YLL(主要结果)。使用中断时间序列分析和面板时间序列模型,估计了 2020 年 3 月 7 日至 2020 年 12 月 25 日期间因直接死亡(COVID-19 和其他呼吸道疾病)、心血管疾病和糖尿病、癌症和其他间接死亡(所有其他原因)而导致的每个性别、地理区域和贫困五分位数的预期 YLL。通过减去观察到的值与预期值之间的差值来计算大流行期间的超额 YLL。其他分析重点关注区域和贫困阶层的超额死亡人数,按年龄组进行分析。在 2020 年 3 月 7 日至 2020 年 12 月 25 日期间,英格兰和威尔士估计有 763550 人(95%CI:696826 至 830273)超额 YLL,与 2019 年同期相比,YLL 增加了 15%(95%CI:14%至 16%)。在所有原因的超额 YLL 中,存在很强的贫困梯度,每 100000 人口的死亡率范围从最不贫困五分位数的 916(95%CI:820 至 1012)到最贫困五分位数的 1645(95%CI:1472 至 1819)。在最贫困的五分位数中,最贫困的五分位数之间的超额 YLL 差异最大;在最不贫困的五分位数中,所有原因死亡的人均损失了 9.1 年(95%CI:8.2 至 10.0),而在最贫困的五分位数中,人均损失了 10.8 年(95%CI:10.0 至 11.6);在 COVID-19 和其他呼吸道疾病死亡中,在最不贫困的五分位数中,人均损失了 8.9 年(95%CI:8.7 至 9.1),而在最贫困的五分位数中,人均损失了 11.2 年(95%CI:11.0 至 11.5)。在所有原因的死亡率方面,与最富裕地区相比,最贫困地区的估计死亡人数在较年轻的年龄组中要高得多,但对于 85 岁以上的人则相似。在整个地区和直接超额 YLL 方面,存在明显的差异,西北部地区的比率最高。限制包括研究设计的准实验性质和对准确和及时记录的要求。

结论

在这项研究中,我们观察到在 COVID-19 大流行的第一年,YLL 存在强烈的社会经济和地理健康不平等。这些与英格兰和威尔士长期存在的不平等现象一致,最贫困地区报告的潜在 YLL 人数最多。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42c4/8846534/7f057f5122ca/pmed.1003904.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42c4/8846534/ceac802c3667/pmed.1003904.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42c4/8846534/bd9146a38a2c/pmed.1003904.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42c4/8846534/cee570d7d913/pmed.1003904.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42c4/8846534/24f848c79a4e/pmed.1003904.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42c4/8846534/7f057f5122ca/pmed.1003904.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42c4/8846534/ceac802c3667/pmed.1003904.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42c4/8846534/bd9146a38a2c/pmed.1003904.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42c4/8846534/cee570d7d913/pmed.1003904.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42c4/8846534/24f848c79a4e/pmed.1003904.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42c4/8846534/7f057f5122ca/pmed.1003904.g005.jpg

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