tetano
Editor, Senior Moderator
Acta Trop
. 2024 Apr 9:107193.
doi: 10.1016/j.actatropica.2024.107193. Online ahead of print. An association between PM[SUB]2.5[/SUB]-related components and respiratory infectious diseases: A China's mainland-based study
Donghua Li[SUP] 1 [/SUP], Tianshan Shi[SUP] 1 [/SUP], Lei Meng[SUP] 2 [/SUP], Xiaoshu Zhang[SUP] 2 [/SUP], Rui Li[SUP] 1 [/SUP], Tingrong Wang[SUP] 1 [/SUP], Xin Zhao[SUP] 1 [/SUP], Hongmiao Zheng[SUP] 1 [/SUP], Xiaowei Ren[SUP] 3 [/SUP]
Affiliations
The particulate matter with diameter of less than 2.5 µm (PM[SUB]2.5[/SUB]) is an important risk factor for respiratory infectious diseases, such as scarlet fever, tuberculosis, and similar diseases. However, it is not clear which component of PM[SUB]2.5[/SUB] is more important for respiratory infectious diseases. Based on data from 31 provinces in mainland China obtained between 2013 and 2019, this study investigated the effects of different PM[SUB]2.5[/SUB] components, i.e., sulfate (SO[SUB]4[/SUB][SUP]2-[/SUP]), nitrate (NO[SUB]3[/SUB][SUP]-[/SUP]), ammonium (NH[SUB]4[/SUB][SUP]+[/SUP]), and organic matter (OM), and black carbon (BC), on respiratory infectious diseases incidence [pulmonary tuberculosis (PTB), scarlet fever (SF), influenza, hand, foot, and mouth disease (HFMD), and mumps]. Geographical probes and the Bayesian kernel machine regression (BKMR) model were used to investigate correlations, single-component effects, joint effects, and interactions between components, and subgroup analysis was used to assess regional and temporal heterogeneity. The results of geographical probes showed that the chemical components of PM[SUB]2.5[/SUB] were associated with the incidence of respiratory infectious diseases. BKMR results showed that the five components of PM[SUB]2.5[/SUB] were the main factors affecting the incidence of respiratory infectious diseases (PIP>0.5). The joint effect of influenza and mumps by co-exposure to the components showed a significant positive correlation, and the exposure-response curve for a single component was approximately linear. And single-component modelling revealed that OM and BC may be the most important factors influencing the high incidence of respiratory infections. Moreover, respiratory infectious diseases in southern and southwestern China may be less affected by the PM[SUB]2.5[/SUB] component. This study is the first to explore the relationship between different components of PM[SUB]2.5[/SUB] and the incidence of five common respiratory infectious diseases in 31 provinces of China, which provides a certain theoretical basis for future research.
Keywords: BKMR; Geographical probes; Mainland China; PM(2.5)-related components; Respiratory infectious diseases.
. 2024 Apr 9:107193.
doi: 10.1016/j.actatropica.2024.107193. Online ahead of print. An association between PM[SUB]2.5[/SUB]-related components and respiratory infectious diseases: A China's mainland-based study
Donghua Li[SUP] 1 [/SUP], Tianshan Shi[SUP] 1 [/SUP], Lei Meng[SUP] 2 [/SUP], Xiaoshu Zhang[SUP] 2 [/SUP], Rui Li[SUP] 1 [/SUP], Tingrong Wang[SUP] 1 [/SUP], Xin Zhao[SUP] 1 [/SUP], Hongmiao Zheng[SUP] 1 [/SUP], Xiaowei Ren[SUP] 3 [/SUP]
Affiliations
- PMID: 38604327
- DOI: 10.1016/j.actatropica.2024.107193
The particulate matter with diameter of less than 2.5 µm (PM[SUB]2.5[/SUB]) is an important risk factor for respiratory infectious diseases, such as scarlet fever, tuberculosis, and similar diseases. However, it is not clear which component of PM[SUB]2.5[/SUB] is more important for respiratory infectious diseases. Based on data from 31 provinces in mainland China obtained between 2013 and 2019, this study investigated the effects of different PM[SUB]2.5[/SUB] components, i.e., sulfate (SO[SUB]4[/SUB][SUP]2-[/SUP]), nitrate (NO[SUB]3[/SUB][SUP]-[/SUP]), ammonium (NH[SUB]4[/SUB][SUP]+[/SUP]), and organic matter (OM), and black carbon (BC), on respiratory infectious diseases incidence [pulmonary tuberculosis (PTB), scarlet fever (SF), influenza, hand, foot, and mouth disease (HFMD), and mumps]. Geographical probes and the Bayesian kernel machine regression (BKMR) model were used to investigate correlations, single-component effects, joint effects, and interactions between components, and subgroup analysis was used to assess regional and temporal heterogeneity. The results of geographical probes showed that the chemical components of PM[SUB]2.5[/SUB] were associated with the incidence of respiratory infectious diseases. BKMR results showed that the five components of PM[SUB]2.5[/SUB] were the main factors affecting the incidence of respiratory infectious diseases (PIP>0.5). The joint effect of influenza and mumps by co-exposure to the components showed a significant positive correlation, and the exposure-response curve for a single component was approximately linear. And single-component modelling revealed that OM and BC may be the most important factors influencing the high incidence of respiratory infections. Moreover, respiratory infectious diseases in southern and southwestern China may be less affected by the PM[SUB]2.5[/SUB] component. This study is the first to explore the relationship between different components of PM[SUB]2.5[/SUB] and the incidence of five common respiratory infectious diseases in 31 provinces of China, which provides a certain theoretical basis for future research.
Keywords: BKMR; Geographical probes; Mainland China; PM(2.5)-related components; Respiratory infectious diseases.