Evidence map›Paper›PMID 37361164›Full record

ArticleFrontiers in public health2023

Evaluation of the health risk using multi-pollutant air quality health index: case study in Tianjin, China.

Yu Wang, Mo Dan, Yan Dou, Ling Guo, Zhizhen Xu, Ding Ding, Mushui Shu

Abstract read
In one paragraph

Article in Frontiers in public health, 2023. 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

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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.

Yu WangCenter of Excellence for Environmental Safety and Biological Effects, Beijing Key Laboratory for Green Catalysis and Separation, Department of Chemistry, Beijing University of Technology, Beijing, China.
Mo DanInstitute of Urban Safety and Environmental Science, Beijing Academy of Science and Technology, Beijing, China.
Yan DouInstitute of Urban Safety and Environmental Science, Beijing Academy of Science and Technology, Beijing, China.
Ling GuoInstitute of Urban Safety and Environmental Science, Beijing Academy of Science and Technology, Beijing, China.
Zhizhen XuInstitute of Urban Safety and Environmental Science, Beijing Academy of Science and Technology, Beijing, China.
Ding DingInstitute of Urban Safety and Environmental Science, Beijing Academy of Science and Technology, Beijing, China.
Mushui ShuInstitute of Urban Safety and Environmental Science, Beijing Academy of Science and Technology, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Air pollution imposes a significant burden on public health. Compared with the popular air quality index (AQI), the air quality health index (AQHI) provides a more comprehensive approach to measuring mixtures of air pollutants and is suitable for overall assessments of the short-term health effects of such mixtures. Methods: We established an AQHI and cumulative risk index (CRI)-AQHI for Tianjin using single-and multi-pollutant models, respectively, as well as environmental, meteorological, and daily mortality data of residents in Tianjin between 2018 and 2020. Results and discussion: Compared with the AQI, the AQHI and CRI-AQHI established herein correlated more closely with the exposure-response relationships of the total mortality effects on residents. For each increase in the interquartile range of the AQHI, CRI-AQHI and AQI, the total daily mortality rates increased by 2.06, 1.69 and 0.62%, respectively. The AQHI and CRI-AQHI predicted daily mortality rate of residents more effectively than the AQI, and the correlations of AQHI and CRI-AQHI with health were similar. Our AQHI of Tianjin was used to establish specific (S)-AQHIs for different disease groups. The results showed that all measured air pollutants had the greatest impact on the health of persons with chronic respiratory diseases, followed by lung cancer, and cardiovascular and cerebrovascular diseases. The AQHI of Tianjin established in this study was accurate and dependable for assessing short-term health risks of air pollution in Tianjin, and the established S-AQHI can be used to separately assess health risks among different disease groups.

Indexed as

Air PollutantsAir PollutionEnvironmental PollutantsChinaParticulate MatterAir PollutantsEnvironmental PollutantsParticulate Matterair pollutionair qualityair quality health indexair quality indexdiseasehealth risk

Identifiers

PMID37361164
PMCPMC10289283

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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.