Can pre-existing medical conditions explain occupational differences in COVID-19 disease severity? An analysis of 3.17 million people insured in Germany.

IF 4.3 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Robert Guţu, Valerie Schaps, Benjamin Wachtler, Florian Beese, Jens Hoebel, Marco Alibone, Morten Wahrendorf
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引用次数: 0

Abstract

Objective: Occupational differences in COVID-19 are well documented, but the empirical evidence on potential reasons for these differences remains limited. Possible reasons include pre-existing health conditions. This study investigated occupational differences in COVID-19 disease severity and whether they can be attributed to pre-existing health conditions.

Methods: Our study used German health insurance data covering 3.17 million insured individuals (age 18-67 years), with details on COVID-19-related hospitalization and mortality in 2020 and 2021, information on occupation (regrouped into four classifications) and pre-existing health conditions (divided into seven disease groups). In addition to descriptive statistics, we estimated multivariable Cox regression models with varying sets of adjustments.

Results: We found clear occupational differences in COVID-19 hospitalization and mortality, with the highest risks for the production sector (especially manufacturing), commercial services (especially cleaning) and for low-skilled occupations. These findings persisted after adjusting for age, sex, and region, and also after mutual adjustment for other occupational classifications. We also found some evidence that the association between occupation and disease severity was partly explained by pre-existing conditions, especially in the case of low skill levels.

Conclusions: Our findings provide support for occupational differences in COVID-19, where the occupational classifications under study were independently related to risk differences (eg, skill-level and job sector). Furthermore, we provide empirical evidence that differences by occupational skill levels are partly due to pre-existing conditions. This finding suggests that occupational inequalities in health increased during the pandemic, with those with poorer health who worked in disadvantaged occupations also being more likely to experience severe COVID-19 outcomes.

Abstract Image

先前存在的医疗状况能否解释COVID-19疾病严重程度的职业差异?对德国317万参保人员的分析。
目的:COVID-19职业差异有据可查,但关于这些差异潜在原因的经验证据仍然有限。可能的原因包括已有的健康状况。这项研究调查了COVID-19疾病严重程度的职业差异,以及它们是否可以归因于已有的健康状况。方法:我们的研究使用了德国健康保险数据,涵盖了317万被保险人(18-67岁),包括2020年和2021年与covid -19相关的住院和死亡率的详细信息,职业信息(重新分为四类)和既往健康状况(分为七个疾病组)。除了描述性统计外,我们估计了具有不同调整集的多变量Cox回归模型。结果:我们发现COVID-19住院率和死亡率存在明显的职业差异,生产部门(特别是制造业)、商业服务部门(特别是清洁部门)和低技能职业的风险最高。在调整了年龄、性别和地区以及其他职业分类后,这些发现仍然存在。我们还发现了一些证据,表明职业和疾病严重程度之间的联系部分可以用先前存在的条件来解释,特别是在低技能水平的情况下。结论:我们的研究结果为COVID-19的职业差异提供了支持,其中所研究的职业分类与风险差异(例如技能水平和工作部门)独立相关。此外,我们提供的经验证据表明,职业技能水平的差异部分是由于预先存在的条件。这一发现表明,在大流行期间,健康方面的职业不平等现象有所加剧,那些健康状况较差、在弱势职业工作的人也更有可能经历严重的COVID-19后果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Scandinavian journal of work, environment & health
Scandinavian journal of work, environment & health 医学-公共卫生、环境卫生与职业卫生
CiteScore
8.20
自引率
9.50%
发文量
65
审稿时长
>12 weeks
期刊介绍: The aim of the Journal is to promote research in the fields of occupational and environmental health and safety and to increase knowledge through the publication of original research articles, systematic reviews, and other information of high interest. Areas of interest include occupational and environmental epidemiology, occupational and environmental medicine, psychosocial factors at work, physical work load, physical activity work-related mental and musculoskeletal problems, aging, work ability and return to work, working hours and health, occupational hygiene and toxicology, work safety and injury epidemiology as well as occupational health services. In addition to observational studies, quasi-experimental and intervention studies are welcome as well as methodological papers, occupational cohort profiles, and studies associated with economic evaluation. The Journal also publishes short communications, case reports, commentaries, discussion papers, clinical questions, consensus reports, meeting reports, other reports, book reviews, news, and announcements (jobs, courses, events etc).
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