Evidence map›Paper›PMID 41535820›Full record

ArticleBMC public health2026

Relative risk and dalys assessment of indoor air pollutants in residential buildings - taking Dalian as an example.

Xueyan Zhang, Rufei Li, Zhaoxuan Wang, Jing Li, Zichao Pan, Jingkai Wang, Xingkuo Zhang

Abstract read
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Xueyan ZhangLaboratory of Building Environment and New Energy Resources, Dalian University of Technology, Dalian, Liaoning, 116024, China.
Rufei LiLaboratory of Building Environment and New Energy Resources, Dalian University of Technology, Dalian, Liaoning, 116024, China.
Zhaoxuan WangLaboratory of Building Environment and New Energy Resources, Dalian University of Technology, Dalian, Liaoning, 116024, China.
Jing LiCentral Hospital of Dalian University of Technology, Dalian, Liaoning, 116024, China. 232248962@qq.com.
Zichao PanLaboratory of Building Environment and New Energy Resources, Dalian University of Technology, Dalian, Liaoning, 116024, China.
Jingkai WangLaboratory of Building Environment and New Energy Resources, Dalian University of Technology, Dalian, Liaoning, 116024, China.
Xingkuo ZhangLaboratory of Building Environment and New Energy Resources, Dalian University of Technology, Dalian, Liaoning, 116024, China.

Funding

Ministry of Science and Technology of the People's Republic of China 2022YFC3803205-02
6 · The paper itself

Abstract

backgroundIndoor air pollution poses significant health risks, yet the differential health impacts of specific pollutants remain insufficiently quantified. Therefore, this study examined the associations between exposure to five indoor air pollutants (PM2.5, PM10, SO2, NO2, CO) and disease-specific outpatient visits in Dalian, China, aiming to elucidate both the direct and indirect health effects of indoor air pollution.

methodsFirst, continuous indoor air monitoring was conducted for one year in 20 representative residential units, and corresponding medical records were collected simultaneously. Next, generalized additive models combined with distributed lag nonlinear models were constructed to quantify the associations between pollutants and diseases, with adjustments for long-term trends, holiday effects, and intraweek variability. Finally, the analysis explored trends in the relative risk (RR) and disease burden of specific health outcomes as pollutant concentrations varied, while also considering the extent to which lag effects influence health outcomes.

resultsThe results quantify the disease risk and burden in terms of RR and disability adjusted life years (DALYs). Among the studied pollutants, CO exhibits the strongest association with ischemic heart disease risk. At a CO concentration of 4 mg/m3, the RR reaches 1.13 (95%CI: 1.12–1.13), resulting in a disease burden of 42.08 (95%CI: 40.35–43.78) DALYs/(year·100,000). SO2 and NO2 exert the most pronounced effects on acute asthma exacerbations, with peak RRs of 1.14 (95%CI: 1.12–1.15, at 80 µg/m3) and 1.17 (95%CI: 1.16–1.18, at 0.25 mg/m3), respectively; the corresponding disease burdens are 140.76 (95%CI: 124.37-153.67) and 173.81 (95%CI: 165.60-180.03) DALYs/(year·100,000). PM10 and PM2.5 exhibit lower RRs for specific diseases, with RR values not exceeding 1.04 within the studied concentration ranges (0–200 µg/m3 for PM10 and 0–160 µg/m3 for PM2.5). However, PM10 imposes a substantial disease burden on diabetes, with a maximum value reaching approximately 800 DALYs/(year·100,000).

conclusionsAll target pollutants show a significant positive correlation with the RRs and disease burden of corresponding disease outcomes, and lag effects also increase disease risk.

Indexed as

Air PollutantsAir Pollution, IndoorDisability-Adjusted Life YearsEnvironmental ExposureHousingChinaEnvironmental MonitoringHumansParticulate MatterRisk AssessmentAir PollutantsParticulate MatterChinaChronic diseasesDalian (Liaoning)Indoor gasesIndoor particulatesLag daysOutpatient visitsRelative risk

Identifiers

PMID41535820
PMCPMC12853874

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.