Evidence map›Paper›PMID 41136923›Full record

ArticleBMC public health2025

The study of the correlation between pollutants and their interactions on the incidence of tuberculosis in Changping District based on distribution models.

Chuanqing Xu, Yang Yang, Zhen Yang, Cheng Bao, Xiaoyu Zhao

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Chuanqing XuBeijing University of Civil Engineering and Architecture, Beijing, China.
Yang YangBeijing University of Civil Engineering and Architecture, Beijing, China.
Zhen YangBeijing Changping Institute for Tuberculosis Prevention and Treatment, Beijing, China.
Cheng BaoBeijing Changping Institute for Tuberculosis Prevention and Treatment, Beijing, China.
Xiaoyu ZhaoHefei University of Technology, Hefei, Anhui, China. ustcxyz@hotmail.com.

Funding

National Natural Science Foundation of China 62402286
6 · The paper itself

Abstract

backgroundAir pollution as a potential risk factor, mediator or moderator of TB incidence. Most of the studies focused on the provincial and urban areas, while Changping District, as a high incidence area and county of tuberculosis in Beijing, its relationship with pollutants is not clear, so this study aims to investigate the associations of air pollutants and their interactions on the number of new TB cases in Changping District, Beijing, China.

methodsData from Beijing Changping Institute for Tuberculosis Prevention and Treatment on monthly new TB cases from 2014 to 2022. Distributed lag nonlinear models are used to examine the associations of each 10 µg/m3 increase in PM10 and NO2 concentrations, along with extreme exposure episodes, with TB incidence.

resultsThe cumulative relative risk (RR) of increasing pollutant concentrations is positively correlated with lag months for PM10, but the opposite result is observed for NO2. In terms of long and short-term relationships, increased PM10 concentration and extremely low NO2 concentration are associated with long-term hazardous for most subgroups, while extremely high PM10 and NO2 concentrations are associated with short-term hazardous.

conclusionIncreased concentrations of PM10 and NO2 having long-term or short-term effects on populations. Therefore, strengthening air quality monitoring and control is of great significance for the prevention of tuberculosis in Beijing.

Indexed as

Air PollutantsAir PollutionEnvironmental ExposureTuberculosisBeijingEnvironmental MonitoringHumansIncidenceNitrogen DioxideParticulate MatterRisk FactorsAir PollutantsNitrogen DioxideParticulate MatterAir pollutionDistributed lag non-linear model (DLNM)InteractionTuberculosis

Identifiers

PMID41136923
PMCPMC12551238

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