期刊
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
卷 29, 期 20, 页码 30656-30672出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s11356-021-17323-7
关键词
Tuberculosis; Risk of outpatient visit; Ambient air pollutants; DLNM; Time-series study; China
资金
- Anhui Medical University [2019xkj019]
- Anhui Provincial Natural Science Foundation [2008085MH063]
- National Key Project for Infectious Disease [2018ZX10722301-001-004]
- Major National Science and Technology Projects during the 12th Five-Year Plan period [2013ZX10003008-001-003]
There is growing evidence that air pollution, specifically the six common air pollutants, plays a role in the risk of tuberculosis. PM2.5 and SO2 have been found to have a significant association with tuberculosis, and seasonal variations, gender, and age also impact the risk of tuberculosis.
There is growing evidence that air pollution plays a role in TB, and most studies have been conducted in the core countries with inconsistent results. Few studies have comprehensively included the six common air pollutants, so they cannot consider whether various pollutants interact with each other. Our objectives were to investigate the association between short-term exposure to six common air pollutants and the risk of tuberculosis outpatient visits in Fuyang, China, 2015-2020. We combined the two models to explore the effects of exposure to six air pollutants on the risk of tuberculosis outpatient visits, including the Poisson generalized linear regression model and distributed lag non-linear model (DLNM). We performed stratified analyses for the season, type of cases, gender, and age. We used the lag-specific relative risks and cumulative relative risk obtained by increasing pollutant concentration by per 10 units to evaluate the connection between six air pollutants and TB; PM2.5 (RR = 1.0018, 95% CI: 1.0004-1.0032, delay of 12 days) and SO2 (RR = 1.0169, 95% CI: 1.0007-1.0333, lag 0-16 days) were 0.9549 (95% CI: 0.9389-0.9712, lag 0 day) and 0.8212 (95% CI: 0.7351-0.9173, 0-20-day lag). Stratified analyses showed that seasonal differences had a greater impact on TB, males were more likely to develop TB than females, older people were more likely to develop TB than younger people, and air pollution had a great impact on new cases. Exposure to O-3, CO, PM10, PM2.5, and NO2 increases the risk of TB outpatient visits, except SO2 which reduces the risk. The incidence of TB has seasonal fluctuations. It is necessary for the government to establish a sound environmental monitoring and early warning system to strengthen the monitoring and emission management of pollutants in the atmosphere. Management, prevention, and treatment measures should be developed for high-risk groups (males and older people), reducing the risk of TB by reducing their specific behaviors and changing their lifestyle. We need to pay more attention to the impact of seasonal effects on TB to protect TB patients and avoid a shortage of medical resources, and it is necessary for the government to develop some seasonal preventive measures in the future.
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