目的:本研究旨在从各种流行病学角度分析职业性肿瘤的全球负担。
方法:在这项横断面研究中,我们使用来自GBD2019和世界银行数据库的数据进行了二次分析,以评估职业性致癌物所致肿瘤的负担及其分布特征.
方法:基于GBD2019和世界银行数据库,我们分析了职业性肿瘤的全球负担,包括年龄周期队列模型,分解分析,健康不平等分析,和面板模型。所有分析均在R(4.0.3版)和Joinpoint(4.9.1版)中进行。
结果:职业性致癌物引起的肿瘤负担的绝对数量在过去30年中持续上升。2019年,职业性肿瘤在全球范围内导致333,867[95%不确定区间(UI):263,491至404,641]死亡率和6,964,775(95%UI:5,467,884至8,580,431)残疾调整寿命年(DALYs)。格陵兰,摩纳哥,荷兰,安道尔承受了最大的负担。社会人口指数较高的国家的负担较高。老年人的年龄效应显著,1925年出生队列的队列效应最高.人口增长是死亡率(89%)和DALY(111%)变化的最重要驱动因素。此外,城市人口比例与疾病负担显著正相关,人均GDP与疾病负担呈负相关。
结论:职业性肿瘤的负担在不同地点和人群中分布不均。迫切需要合理分配医疗资源。
OBJECTIVE: The study aimed to analyze the global burden of occupational neoplasms from various epidemiological perspectives.
METHODS: In this cross-sectional study, secondary analyses were conducted to assess the burden of neoplasms attributable to occupational carcinogens and their distribution characteristics using data from GBD 2019 and the World Bank database.
METHODS: Based on the GBD 2019 and the World Bank database, we analyzed the global burden of occupational neoplasms including the age-period-cohort model, decomposition analysis, health inequality analysis, and panel model. All analyses were conducted in R (version 4.0.3) and Joinpoint (version 4.9.1).
RESULTS: The absolute number of neoplasms burden attributable to occupational carcinogens has continued to rise over 30 years. In 2019, occupational neoplasms caused 333,867 [95% uncertainty interval (UI): 263,491 to 404,641] mortalities and 6,964,775 (95% UI: 5,467,884 to 8,580,431) disability-adjusted life years (DALYs) globally. Greenland, Monaco, the Netherlands, and Andorra suffered the highest burden. The burden was higher in countries with a higher sociodemographic index. The age effect was prominent in the elderly, and the 1925 birth cohort had the highest cohort effect. Population growth was the most significant driver of the mortalities (89%) and DALYs (111%) change. Moreover, the proportion of urban population was significantly positively associated with the disease burden, while GDP per capita was negatively correlated with the disease burden.
CONCLUSIONS: The burden of occupational neoplasms was unevenly distributed across locations and populations. The need for rational allocation of healthcare resources was urgent.