Skip to content
DraconiticResearch
Search Sources API
210,049 studies31 sourcesUpdated 56 min ago
Peer-reviewedCC BYBMC Pulmonary Medicine

Associations between air pollution, meteorology, and pulmonary tuberculosis risk in Kashi, China

  • Ayiguli Alimu1
  • Jingran Xu1
  • Hui Gong1
  • Zulipikaer Abudureheman1
  • Awaguli Tuersun1
  • Lexin Xue2
  • Xiuqi Lu2
  • Li Li2
  1. 1Department of Scientific Research, First People’s Hospital of Kashi
  2. 2Department of Respiratory and Critical Care Medicine, First People’s Hospital of Kashi
Read full textDOICite

Abstract

Objective To explore associations between ambient air pollutants, meteorological factors and pulmonary tuberculosis risk among residents in Kashi, China Methods Data on TB cases were collected from the Data Platform, while data on non-TB controls were retrieved from the hospital electronic medical record system. Exposome-wide association study (ExWAS) was used to explore the association between single factor exposure and TB risk, Adaptive Elastic-net (AENET) penalty regression method was used to construct a multi-factor regression model of TB risk, Extreme Gradient Boosting (XGBoost) method ranked the relative important factors of TB risk . Results The ExWAS analysis identified eight environmental exposures association with TB risk. Five of the exposures were selected as predictors by the AENET model: particulate matter 10 and 2.5 (PM10, PM2.5), nitrogen dioxide(NO2) (OR = 1.013, OR = 1.008, OR = 1.018, p < 0.0001) were positively associated with the TB risk, while wind velocity and relative humidity (OR = 0.983, OR = 0.944, p < 0.0001) were negatively associated with TB risk. Among environmental factors, the XGBoost model identified PM₁₀ as the most important factor associated with TB. Conclusion Exposure to PM₁₀, PM₂.₅, NO₂ were positive correlated with TB risk, while wind velocity and relative humidity were negatively correlated. Environmental factors should be prioritized in TB prevention strategies.

Related

  1. Analysis of influencing factors of atmospheric pollution on pulmonary tuberculosis incidence in China from 2014 to 2020
    Haibo Shi, Xinyu Guo, Yangzong Ciren
    Frontiers in Public HealthPeer-reviewedCC BY 4.0Full textPharmacology & toxicologyCrossrefEurope PMCPMC
  2. Hydropneumothorax as a Diagnostic Clue to Pulmonary Tuberculosis With Pleural Involvement: A Case Report
    Sara Bravo, Sérgio Costa Monteiro, Raquel Vieira +2
    CureusPeer-reviewedCC BYFull textGeneral medicineEurope PMC
  3. Determinants of Anticipated Video-Supported Treatment Acceptability in Drug-Susceptible Pulmonary Tuberculosis
    J. A. Lama, C. R. Seas, J. Peinado Rodriguez +2
    medRxivPreprintAll rights reservedFull textInfectious diseasemedRxiv
  4. Pulmonary Tuberculosis and a Related Verrucous Plaque on the Sole of the Foot
    Akshay Meena, Saka Sowmya Susan, Sreerekha Jinkala +1
    The American Journal of Tropical Medicine and HygienePeer-reviewedCC BY 4.0Full textInfectious diseasePMC
  5. Prediction Model for Detecting Active Pulmonary Tuberculosis in Patients With Head and Neck Cancer Prior to Concurrent Chemoradiotherapy
    Chawalit Lakdee, Jayanton Patumanond, Peeraphong Thiarawat +5
    Journal of Clinical Medicine ResearchPeer-reviewedCC BYFull textGeneral medicineEurope PMC

Cite

BibTeXRIS
BibTeX
@article{alimu2026associations,
  title = {{Associations between air pollution, meteorology, and pulmonary tuberculosis risk in Kashi, China}},
  author = {Ayiguli Alimu and Jingran Xu and Hui Gong and Zulipikaer Abudureheman and Awaguli Tuersun and Lexin Xue and Xiuqi Lu and Li Li},
  journal = {BMC Pulmonary Medicine},
  year = {2026},
  month = sep,
  doi = {10.1186/s12890-026-04696-z},
  url = {https://doi.org/10.1186/s12890-026-04696-z},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Associations between air pollution, meteorology, and pulmonary tuberculosis risk in Kashi, China
AU  - Ayiguli Alimu
AU  - Jingran Xu
AU  - Hui Gong
AU  - Zulipikaer Abudureheman
AU  - Awaguli Tuersun
AU  - Lexin Xue
AU  - Xiuqi Lu
AU  - Li Li
PY  - 2026
DA  - 2026/09/01
JO  - BMC Pulmonary Medicine
DO  - 10.1186/s12890-026-04696-z
UR  - https://doi.org/10.1186/s12890-026-04696-z
AB  - Objective To explore associations between ambient air pollutants, meteorological factors and pulmonary tuberculosis risk among residents in Kashi, China Methods Data on TB cases were collected from the Data Platform, while data on non-TB controls were retrieved from the hospital electronic medical record system. Exposome-wide association study (ExWAS) was used to explore the association between single factor exposure and TB risk, Adaptive Elastic-net (AENET) penalty regression method was used to construct a multi-factor regression model of TB risk, Extreme Gradient Boosting (XGBoost) method ranked the relative important factors of TB risk . Results The ExWAS analysis identified eight environmental exposures association with TB risk. Five of the exposures were selected as predictors by the AENET model: particulate matter 10 and 2.5 (PM10, PM2.5), nitrogen dioxide(NO2) (OR = 1.013, OR = 1.008, OR = 1.018, p < 0.0001) were positively associated with the TB risk, while wind velocity and relative humidity (OR = 0.983, OR = 0.944, p < 0.0001) were negatively associated with TB risk. Among environmental factors, the XGBoost model identified PM₁₀ as the most important factor associated with TB. Conclusion Exposure to PM₁₀, PM₂.₅, NO₂ were positive correlated with TB risk, while wind velocity and relative humidity were negatively correlated. Environmental factors should be prioritized in TB prevention strategies.
SN  - 1471-2466
ER  -