Analysis on disease burden and trend of occupational lung disease in Tianjin from 2010 to 2019 based on disability adjusted life years

Abstract

Objective: To analyze the level and trend of occupational pneumoconiosis disease burden in Tianjin from 2010 to 2019, and to provide scientific basis for making prevention and control countermeasures and suggestions. Methods: In June 2021, the data of occupational pneumoconiosis cases in Tianjin from 2010 to 2019 were selected from Follow-up survey of occupational pneumoconiosis patients in Tianjin and occupational "Health Hazardous Surveillance Information System", the subsystem of China Disease Control and Prevention Information System. Disability-adjusted life year (DALY) , years of life lost (YLL) and years lost due to disability (YLD) were used to comprehensively measure the disease burden of occupational pneumoconiosis by region, year, disease type, industry, sex and age; Kruskal-wallis H test was used for univariate analysis of DALY loss in pneumdo-niosis occupational. Results: A total of 43089 person-years of DALY due to pneumoconiosis in Tianjin from 2010 to 2019, of which the YLD accounted for about 2/3 (28277 person-years) , the YLL accounted for about 1/3 (14812 person-years) , and the average DALY was 7.34 person-years. The industrial distribution of pneumoconiosis burden in Tianjin was mainly concentrated in the manufacturing industry accounting for 90.6% of the whole industry. The disease types were mainly concentrated in silicosis, foundry pneumoconiosis, asbestosis and cement pneumoconiosis accounting for 34.4%, 16.9%, 13.3% and 10.5%, and the age distribution was mainly concentrated in the 50~<85 years old age group, accouling for 83.6%. The median DALY of occupational pneumoconiosis patients with different pneumoconiosis stages, disability grades and years of service exposed to dust were statistically significant (P<0.05) . Conclusion: The disease burden of occupational pneumoconiosis in Tianjin was still serious. It is necessary to take targeted intervention measures for key industries and population.