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一种采用共病方法对与新冠病毒相关死亡进行的研究:一项使用英国生物银行数据的队列研究。

A syndemic approach to the study of Covid-19-related death: a cohort study using UK Biobank data.

作者信息

Fonseca de Freitas Daniela, Bhui Kamaldeep, Clesse Christophe, Zahid Uzma, Mooney Roisin, Joury Easter, Hayes Richard D, Khondoker Mizanur

机构信息

CHiMES Collaborative, Department of Psychiatry, Medical Sciences Division, University of Oxford, Oxford, UK.

Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

出版信息

J Public Health (Oxf). 2025 Feb 28;47(1):e77-e85. doi: 10.1093/pubmed/fdae310.

Abstract

BACKGROUND

The Covid-19 pandemic showed higher infection, severity and death rates among those living in poorer socioeconomic conditions. We use syndemic theory to guide the analyses to investigate the impact of social adversity and multiple long-term conditions (MLTC) on Covid-19 mortality.

METHODS

The study sample comprised 154 725 UK Biobank participants. Structural equation modeling was used to investigate pathways between traumatic events, economic deprivation, unhealthy behaviors, MLTC, for Covid-19 mortality. Cox regression analysis was used to investigate MLTC and Covid-19 mortality. We also tested effect modification by traumatic events, economic deprivation and unhealthy behaviors.

RESULTS

Covid-19 mortality (n = 186) was directly explained by overall level of MLTC. Economic deprivation and unhealthy behaviors contributed to Covid-19 death indirectly via their negative impact on MLTC. The risk for Covid-19 mortality grew exponentially for every quintile of predicted scores of MLTC. The presence of traumatic events, economic deprivation or unhealthy behaviors did not modify the impact of MLTC on Covid-19 mortality.

CONCLUSIONS

Results suggest a serially causal pathway between economic deprivation and unhealthy behaviors leading to MLTC, which increased the risk of Covid-19 mortality. Policies to tackle the social determinants of health and to mitigate the negative impact of multimorbidity are needed.

摘要

背景

新冠疫情显示,社会经济条件较差人群的感染率、重症率和死亡率更高。我们运用共病理论指导分析,以探究社会逆境和多种长期疾病(MLTC)对新冠死亡率的影响。

方法

研究样本包括154725名英国生物银行参与者。采用结构方程模型研究创伤事件、经济贫困、不健康行为、MLTC与新冠死亡率之间的路径。采用Cox回归分析研究MLTC与新冠死亡率。我们还检验了创伤事件、经济贫困和不健康行为的效应修正作用。

结果

MLTC的总体水平直接解释了新冠死亡率(n = 186)。经济贫困和不健康行为通过对MLTC的负面影响间接导致新冠死亡。MLTC预测得分的每一个五分位数,新冠死亡风险均呈指数增长。创伤事件、经济贫困或不健康行为的存在并未改变MLTC对新冠死亡率的影响。

结论

结果表明,经济贫困和不健康行为之间存在一系列因果路径,导致MLTC,进而增加了新冠死亡风险。需要制定政策来解决健康的社会决定因素,并减轻多种疾病并存的负面影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/432d/11879006/a50034170866/fdae310f1.jpg

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