Association of air pollutants and meteorological factors with tuberculosis: a national multicenter ecological study in China

被引:6
作者
Wang, Qian [1 ]
Li, Yan-lin [1 ]
Yin, Ya-ling [2 ]
Hu, Bin [1 ]
Yu, Chong-chong [1 ]
Wang, Zhen-de [3 ,4 ]
Li, Yu-hong [4 ]
Xu, Chun-jie [5 ]
Wang, Yong-bin [1 ]
机构
[1] Xinxiang Med Univ, Sch Publ Hlth, Xinxiang 453003, Henan, Peoples R China
[2] Xinxiang Med Univ, Sch Basic Med Sci, Dept Physiol & Pathophysiol, Sino UK Joint Lab Brain Funct & Injury Henan Prov, Xinxiang 453003, Henan, Peoples R China
[3] Weifang Med Univ, Sch Publ Hlth, Weifang 261053, Shandong, Peoples R China
[4] China Ctr Dis Control & Prevent, Natl Ctr TB Control & Prevent, Beijing 102206, Peoples R China
[5] Chinese Acad Med Sci & Peking Union Med Sci, Inst Med Biotechnol, Beijing 100730, Peoples R China
基金
中国国家自然科学基金;
关键词
Meteorological factors; Air pollutants; Tuberculosis; A two-stage time series analysis; China; POLLUTION; OZONE;
D O I
10.1007/s00484-023-02524-1
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
The impact of weather variability and air pollutants on tuberculosis (TB) has been a research hotspot. Previous studies have mostly been limited to a certain area or with a small sample size of cases, and multi-scale systematic studies are lacking. In this study, 14,816,329 TB cases were collected from 31 provinces in China between 2004 and 2018 to estimate the association between TB risk and meteorological factors and air pollutants using a two-stage time-series analysis. The impact and lagged time of meteorological factors and air pollutants on TB risk varied greatly in different provinces and regions. Overall cumulative exposure-response summary associations across 31 provinces suggested that high monthly mean relative humidity (RH) (66.8-82.4%, percentile(56-100) (P56-100)), rainfall (316.5-331.1 mm, P96-100), PM2.5 exposure concentration (93.3-145.0 & mu;g/m(3), P58-100), and low monthly mean wind speed (1.6-2.1 m/s, P0-38) increased the risk of TB incidence, with a relative risk (RR) of 1.10 (95% CI: 1.04-1.16), 1.10 (95% CI: 1.03-1.16), 2.08 (95% CI: 1.18-3.65), and 2.06 (95% CI: 1.27-3.33), and attributable risk percent (AR%) of 9%, 9%, 52%, and 51%, respectively. Conversely, high monthly average wind speed (2.3-2.9 m/s, P54-100) and mean temperature (20.2-25.3 & DEG;C, P79-96), and low monthly average rainfall (2.4-25.2 mm, P0-7) and concentration of SO2 (8.1-21.2 & mu;g/m(3), P0-16) exposure decreased the risk of TB incidence, with an overall cumulative RR of 0.92 (95% CI: 0.87-0.98), 0.74 (95% CI: 0.59-0.94), 0.87 (95% CI: 0.79-0.95), and 0.72 (95% CI: 0.56-0.93), respectively. Our study provided insights into future planning of public health interventions for TB.
引用
收藏
页码:1629 / 1641
页数:13
相关论文
共 43 条
  • [31] Nitrogen dioxide enhances allergic airway inflammation and hyperresponsiveness in the mouse
    Poynter, ME
    Persinger, RL
    Irvin, CG
    Butnor, KJ
    van Hirtum, H
    Blay, W
    Heintz, NH
    Robbins, J
    Hemenway, D
    Taatjes, DJ
    Janssen-Heininger, Y
    [J]. AMERICAN JOURNAL OF PHYSIOLOGY-LUNG CELLULAR AND MOLECULAR PHYSIOLOGY, 2006, 290 (01) : L144 - L152
  • [32] Spatial transmission and meteorological determinants of tuberculosis incidence in Qinghai Province, China: a spatial clustering panel analysis
    Rao, Hua-Xiang
    Zhang, Xi
    Zhao, Lei
    Yu, Juan
    Ren, Wen
    Zhang, Xue-Lei
    Ma, Yong-Cheng
    Shi, Yan
    Ma, Bin-Zhong
    Wang, Xiang
    Wei, Zhen
    Wang, Hua-Fang
    Qiu, Li-Xia
    [J]. INFECTIOUS DISEASES OF POVERTY, 2016, 5
  • [33] Silva DR, 2018, J BRAS PNEUMOL, V44, P145, DOI [10.1590/S1806-37562017000000443, 10.1590/s1806-37562017000000443]
  • [34] Tuberculosis: A problem with persistence
    Stewart, GR
    Robertson, BD
    Young, DB
    [J]. NATURE REVIEWS MICROBIOLOGY, 2003, 1 (02) : 97 - 105
  • [35] Spatial patterns and effects of air pollution and meteorological factors on hospitalization for chronic lung diseases in Beijing, China
    Tian, Lin
    Yang, Chuan
    Zhou, Zijun
    Wu, Ziting
    Pan, Xiaochuan
    Clements, Archie C. A.
    [J]. SCIENCE CHINA-LIFE SCIENCES, 2019, 62 (10) : 1381 - 1388
  • [36] Tuberculosis prevalence in China, 1990-2010; a longitudinal analysis of national survey data
    Wang, Lixia
    Zhang, Hui
    Ruan, Yunzhou
    Chin, Daniel P.
    Xia, Yinyin
    Cheng, Shiming
    Chen, Mingting
    Zhao, Yanlin
    Jiang, Shiwen
    Du, Xin
    He, Guangxue
    Li, Jun
    Wang, Shengfen
    Chen, Wei
    Xu, Caihong
    Huang, Fei
    Liu, Xiaoqiu
    Wang, Yu
    [J]. LANCET, 2014, 383 (9934) : 2057 - 2064
  • [37] Epidemiological characteristics of tuberculosis and effects of meteorological factors and air pollutants on tuberculosis in Shijiazhuang, China: A distribution lag non-linear analysis
    Wang, Wenjuan
    Guo, Weiheng
    Cai, Jianning
    Guo, Wei
    Liu, Ran
    Liu, Xuehui
    Ma, Ning
    Zhang, Xiaolin
    Zhang, Shiyong
    [J]. ENVIRONMENTAL RESEARCH, 2021, 195
  • [38] Association between ambient air pollution and tuberculosis risk: A systematic review and meta-analysis
    Xiang, Kun
    Xu, Zhiwei
    Hu, Yu-Qian
    He, Yi-Sheng
    Dan, Yi-Lin
    Wu, Qian
    Fang, Xue-Hui
    Pan, Hai-Feng
    [J]. CHEMOSPHERE, 2021, 277
  • [39] The influence of meteorological factors on tuberculosis incidence in Southwest China from 2006 to 2015
    Xiao, Yuanyuan
    He, Limei
    Chen, Ying
    Wang, Qinying
    Meng, Qiong
    Chang, Wei
    Xiong, Lifen
    Yu, Zhen
    [J]. SCIENTIFIC REPORTS, 2018, 8
  • [40] A study on the relationship between air pollution and pulmonary tuberculosis based on the general additive model in Wulumuqi, China
    Yang, Jiandong
    Zhang, Mengxi
    Chen, Yanggui
    Ma, Li
    Yadikaer, Rayibai
    Lu, Yaoqin
    Lou, Pengwei
    Pu, Yujiao
    Xiang, Ran
    Rui, Baolin
    [J]. INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 2020, 96 : 42 - 47