Institute and Policlinic of Occupational and Social Medicine, Faculty of Medicine, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany.
Institute for Medical Informatics and Biometry, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany.
BMC Public Health. 2024 Nov 21;24(1):3235. doi: 10.1186/s12889-024-20706-3.
Studies on occupation and COVID-19 infection that cover a range of occupational groups and adjust for important confounders are lacking. This study aimed to estimate occupational risks of hospitalization with COVID-19 by taking into account sociodemographic factors and previous comorbidities.
We applied a case-cohort design using workers insured with one of Germany's largest statutory health insurers as a data source for occupational and demographical information as well as for information on comorbidities. Cox regression models with denominator weights for cases and controls assessed relative risks of hospitalization with COVID-19 in 2020.
The study consisted of 11,202 COVID-19 cases and 249,707 non-cases. After adjusting for age, sex, number of pre-existing comorbidities, and socioeconomic status, we found at least doubled risks for occupations in theology and church work (HR = 3.05; 95% CI 1.93-4.82), occupations in healthcare (HR = 2.74; 95% CI 2.46-3.05), for bus and tram divers (HR = 2.46; 95% CI 2.04-2.97), occupations in meat processing (HR = 2.16; 95% CI 1.57-2.98), and professional drivers in passenger transport (e.g. taxi drivers) (HR = 2.00; 95% CI 1.59-2.51). In addition, occupations in property marketing and management, social workers, laboratory workers, occupations in personal care (e.g. hairdressers), occupations in housekeeping and occupations in gastronomy all had statistically significantly increased risks compared to the reference population (administrative workers).
We identified occupations with increased risks for hospitalization with COVID-19. For those having a doubled risk it can be assumed that COVID-19 diseases are predominantly occupationally related. By identifying high-risk occupations in non-healthcare professions, effective measures to prevent infections in the workplace can be developed, also in case of a future pandemic.
缺乏涵盖多个职业群体并调整重要混杂因素的关于职业和 COVID-19 感染的研究。本研究旨在考虑社会人口学因素和既往合并症,估算 COVID-19 住院的职业风险。
我们应用病例-对照设计,以德国最大的法定健康保险公司之一的参保人员为数据来源,获取职业和人口统计学信息以及合并症信息。使用病例和对照的分母权重的 Cox 回归模型评估了 2020 年 COVID-19 住院的相对风险。
该研究共纳入 11202 例 COVID-19 病例和 249707 例非病例。在调整年龄、性别、既往合并症数量和社会经济地位后,我们发现神学和教会工作(HR=3.05;95%CI 1.93-4.82)、医疗保健(HR=2.74;95%CI 2.46-3.05)、公共汽车和电车驾驶员(HR=2.46;95%CI 2.04-2.97)、肉类加工(HR=2.16;95%CI 1.57-2.98)和专业客运司机(如出租车司机)(HR=2.00;95%CI 1.59-2.51)的职业风险至少增加了一倍。此外,与参考人群(行政人员)相比,房地产营销和管理、社会工作者、实验室工作者、个人护理职业(如理发师)、家政和餐饮职业的职业风险显著增加。
我们确定了 COVID-19 住院风险增加的职业。对于那些风险增加一倍的人,可以假设 COVID-19 疾病主要与职业有关。通过识别非医疗保健职业中的高风险职业,可以制定有效的措施来预防工作场所感染,即使在未来发生大流行时也是如此。