JMIR Public Health and Surveillance

View query in Help articles search

Field

e.g. mhealth

Operator

Field

Criteria

e.g. mhealth

Search Results (1 to 3 of 3 Results)

Download search results: CSV END BibTex RIS

Sort by:

Long-Term Exposure to Fine Particulate Matter (PM2.5) Components and Precocious Puberty Among School-Aged Children: Cross-Sectional Study

Explanations may be related to differing susceptibility across populations and the varied concentration of the essential components of PM2.5 across countries and regions. Ambient PM2.5 pollution is a significant environmental hazard in China.

Xuelian Zhou, Xiaochi Zhang, Guannan Bai, Guanping Dong, Xinyi Li, Ruimin Chen, Shaoke Chen, Rongxiu Zheng, Chunlin Wang, Haiyan Wei, Bingyan Cao, Yan Liang, Hui Yao, Zhe Su, Mireguli Maimaiti, Feihong Luo, Pin Li, Min Zhu, Hongwei Du, Yu Yang, Lanwei Cui, Jinling Wang, Jinna Yuan, Zhuang Liu, Wei Wu, Qi Zhao, Junfen Fu

JMIR Public Health Surveill 2025;11:e62861

Download Citation: END BibTex RIS

Download PDF Download XML

Association of Fine Particulate Matter and Residential Greenness With Risk of Pulmonary Tuberculosis Retreatment: Population-Based Retrospective Study

Evidence for the association between fine particulate matter with an aerodynamic diameter of 2.5 μm or less (PM2.5) and PTB retreatment is limited. Recent studies have suggested that short- and long-term exposures to outdoor PM2.5, which may inhibit cellular immunity to MTB, were significantly associated with the risk of PTB [4,5].

Tonglei Guo, Fei Shen, Henan Xin, Jiang Du, Xuefang Cao, Boxuan Feng, Yijun He, Lingyu Shen, Yuanzhi Di, Yanxiao Chen, Zihan Li, Qi Jin, Hongzhi Li, Chunming Zhang, Lei Gao

JMIR Public Health Surveill 2024;10:e50244

Download Citation: END BibTex RIS

Download PDF Download XML

Association Between Particulate Matter Exposure and Preterm Birth in Women With Abnormal Preconception Thyrotropin Levels: Large Cohort Study

(B) Geographical distribution of preterm birth and spatial variation of PM2.5 concentration, as estimated by using the IDW spatial interpolation algorithm, from 2014 to 2019. E: east; IDW: inverse distance weighting; KM: kilometer; N: north; PM2.5: particulate matter with an aerodynamic diameter of ≤2.5 μm; S: south; W: west.

Ting Xu, Haobo Ni, Xiaoyan Cai, Tingting Dai, Lingxi Wang, Lina Xiao, Qinghui Zeng, Xiaolin Yu, Lu Han, Pi Guo

JMIR Public Health Surveill 2024;10:e53879

Download Citation: END BibTex RIS

Download PDF Download XML

Search Articles

Search Results (1 to 3 of 3 Results)