Kang Ma , Fengman Fang , Yuesheng Lin , Xiuya Xing , Youru Yao , Fei Tong
{"title":"2004-2018年中国大陆环境PM2.5组分对肺结核发病率长期影响的时间变化","authors":"Kang Ma , Fengman Fang , Yuesheng Lin , Xiuya Xing , Youru Yao , Fei Tong","doi":"10.1016/j.apr.2025.102679","DOIUrl":null,"url":null,"abstract":"<div><div>Ambient fine particulate matter (PM<sub>2.5</sub>) has been widely associated with pulmonary tuberculosis (PTB). However, less is known about the impact and temporal variations of specific PM<sub>2.5</sub> components on PTB. In this study, we employed breakpoint regression and distributed lag nonlinear models (DLNM) to assess the temporal variations in the effects of long−term exposure to PM<sub>2.5</sub> and its components, including sulfate (SO<sub>4</sub><sup>2−</sup>), nitrate (NO<sub>3</sub><sup>−</sup>), ammonium (NH<sub>4</sub><sup>+</sup>), organic matter (OM), and black carbon (BC) on the incidence of 14,816,329 PTB cases across 31 provinces in mainland China from 2004 to 2018. We also explored sources of heterogeneity through meta-regression. The study found that long−term exposures to PM<sub>2.5</sub> components were linked to higher monthly PTB incidence. The cumulative relative risks (CRR and 95 % CI) were highest at 1.379 (95 % CI: 1.331−1.428) per interquartile range (IQR) increase in NH<sub>4</sub><sup>+</sup>, followed by 1.361 (95 % CI: 1.314−1.409) for NO<sub>3</sub><sup>−</sup>, 1.331 (95 % CI: 1.282−1.382) for SO<sub>4</sub><sup>2−</sup>, 1.130 (95 % CI: 1.091−1.171) for OM, and 1.126 (95 % CI: 1.084−1.170) for BC. Smear−positive pulmonary tuberculosis (SPPTB) showed greater susceptibility. This association varied significantly across different socioeconomic and healthcare levels. In regions with lower per capita disposable income, urbanization rate, and the number of medical technical personnel per 1000 persons, NO<sub>3</sub><sup>−</sup> and NH<sub>4</sub><sup>+</sup> were associated with higher PTB incidence rates. Over time, the effect sizes per unit increase in PM<sub>2.5</sub> components has significantly diminished, but the impact of NH<sub>4</sub><sup>+</sup>, NO<sub>3</sub><sup>−</sup> and SO<sub>4</sub><sup>2−</sup> on PTB remains substantial. This observation might be due to reductions in PM<sub>2.5</sub> exposure levels and changes in socioeconomic status factors, such as advancements in the economy and healthcare systems. Our study highlights the temporal variations in the effects of different PM<sub>2.5</sub> components on PTB incidence, identifies key harmful components contributing to PTB, and provides scientific evidence for the PTB prevention and control strategies targeting specific PM<sub>2.5</sub> sources.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 12","pages":"Article 102679"},"PeriodicalIF":3.5000,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Temporal variations in the long–term effects of ambient PM2.5 components on pulmonary tuberculosis incidence in mainland China during 2004–2018\",\"authors\":\"Kang Ma , Fengman Fang , Yuesheng Lin , Xiuya Xing , Youru Yao , Fei Tong\",\"doi\":\"10.1016/j.apr.2025.102679\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Ambient fine particulate matter (PM<sub>2.5</sub>) has been widely associated with pulmonary tuberculosis (PTB). However, less is known about the impact and temporal variations of specific PM<sub>2.5</sub> components on PTB. In this study, we employed breakpoint regression and distributed lag nonlinear models (DLNM) to assess the temporal variations in the effects of long−term exposure to PM<sub>2.5</sub> and its components, including sulfate (SO<sub>4</sub><sup>2−</sup>), nitrate (NO<sub>3</sub><sup>−</sup>), ammonium (NH<sub>4</sub><sup>+</sup>), organic matter (OM), and black carbon (BC) on the incidence of 14,816,329 PTB cases across 31 provinces in mainland China from 2004 to 2018. We also explored sources of heterogeneity through meta-regression. The study found that long−term exposures to PM<sub>2.5</sub> components were linked to higher monthly PTB incidence. The cumulative relative risks (CRR and 95 % CI) were highest at 1.379 (95 % CI: 1.331−1.428) per interquartile range (IQR) increase in NH<sub>4</sub><sup>+</sup>, followed by 1.361 (95 % CI: 1.314−1.409) for NO<sub>3</sub><sup>−</sup>, 1.331 (95 % CI: 1.282−1.382) for SO<sub>4</sub><sup>2−</sup>, 1.130 (95 % CI: 1.091−1.171) for OM, and 1.126 (95 % CI: 1.084−1.170) for BC. Smear−positive pulmonary tuberculosis (SPPTB) showed greater susceptibility. This association varied significantly across different socioeconomic and healthcare levels. In regions with lower per capita disposable income, urbanization rate, and the number of medical technical personnel per 1000 persons, NO<sub>3</sub><sup>−</sup> and NH<sub>4</sub><sup>+</sup> were associated with higher PTB incidence rates. Over time, the effect sizes per unit increase in PM<sub>2.5</sub> components has significantly diminished, but the impact of NH<sub>4</sub><sup>+</sup>, NO<sub>3</sub><sup>−</sup> and SO<sub>4</sub><sup>2−</sup> on PTB remains substantial. This observation might be due to reductions in PM<sub>2.5</sub> exposure levels and changes in socioeconomic status factors, such as advancements in the economy and healthcare systems. Our study highlights the temporal variations in the effects of different PM<sub>2.5</sub> components on PTB incidence, identifies key harmful components contributing to PTB, and provides scientific evidence for the PTB prevention and control strategies targeting specific PM<sub>2.5</sub> sources.</div></div>\",\"PeriodicalId\":8604,\"journal\":{\"name\":\"Atmospheric Pollution Research\",\"volume\":\"16 12\",\"pages\":\"Article 102679\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2025-08-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Atmospheric Pollution Research\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1309104225002818\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Atmospheric Pollution Research","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1309104225002818","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Temporal variations in the long–term effects of ambient PM2.5 components on pulmonary tuberculosis incidence in mainland China during 2004–2018
Ambient fine particulate matter (PM2.5) has been widely associated with pulmonary tuberculosis (PTB). However, less is known about the impact and temporal variations of specific PM2.5 components on PTB. In this study, we employed breakpoint regression and distributed lag nonlinear models (DLNM) to assess the temporal variations in the effects of long−term exposure to PM2.5 and its components, including sulfate (SO42−), nitrate (NO3−), ammonium (NH4+), organic matter (OM), and black carbon (BC) on the incidence of 14,816,329 PTB cases across 31 provinces in mainland China from 2004 to 2018. We also explored sources of heterogeneity through meta-regression. The study found that long−term exposures to PM2.5 components were linked to higher monthly PTB incidence. The cumulative relative risks (CRR and 95 % CI) were highest at 1.379 (95 % CI: 1.331−1.428) per interquartile range (IQR) increase in NH4+, followed by 1.361 (95 % CI: 1.314−1.409) for NO3−, 1.331 (95 % CI: 1.282−1.382) for SO42−, 1.130 (95 % CI: 1.091−1.171) for OM, and 1.126 (95 % CI: 1.084−1.170) for BC. Smear−positive pulmonary tuberculosis (SPPTB) showed greater susceptibility. This association varied significantly across different socioeconomic and healthcare levels. In regions with lower per capita disposable income, urbanization rate, and the number of medical technical personnel per 1000 persons, NO3− and NH4+ were associated with higher PTB incidence rates. Over time, the effect sizes per unit increase in PM2.5 components has significantly diminished, but the impact of NH4+, NO3− and SO42− on PTB remains substantial. This observation might be due to reductions in PM2.5 exposure levels and changes in socioeconomic status factors, such as advancements in the economy and healthcare systems. Our study highlights the temporal variations in the effects of different PM2.5 components on PTB incidence, identifies key harmful components contributing to PTB, and provides scientific evidence for the PTB prevention and control strategies targeting specific PM2.5 sources.
期刊介绍:
Atmospheric Pollution Research (APR) is an international journal designed for the publication of articles on air pollution. Papers should present novel experimental results, theory and modeling of air pollution on local, regional, or global scales. Areas covered are research on inorganic, organic, and persistent organic air pollutants, air quality monitoring, air quality management, atmospheric dispersion and transport, air-surface (soil, water, and vegetation) exchange of pollutants, dry and wet deposition, indoor air quality, exposure assessment, health effects, satellite measurements, natural emissions, atmospheric chemistry, greenhouse gases, and effects on climate change.