Evidence map›Paper›PMID 39987110›Full record

ArticleEnvironmental health : a global access science source2025

Short-term attributable risk and economic burden of hospital admissions for anxiety disorders due to air pollution: a multicity time-stratified case-crossover study.

Peng Fu, Wanyanhan Jiang, Xinyi Tan, Yang Shu, Lian Yang

Abstract read
In one paragraph

Article in Environmental health : a global access science source, 2025. 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. Review
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

5 authors.

Peng FuSchool of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China.
Wanyanhan JiangHEOA Group, School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China.
Xinyi TanSchool of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China.
Yang ShuHEOA Group, School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China.
Lian YangHEOA Group, School of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China. yyanglian@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnxiety disorders are a leading cause of severe quality of life impairment and are among the most common mental disorders globally. However, few studies have investigated the association between exposure to high levels of air pollution and an increased risk of developing anxiety disorders. This study aimed to investigate the relationship between air pollutants and hospitalisation for anxiety disorders and the associated economic burden of these hospitalisations in Sichuan, China.

methodsWe collected 7,282 records of anxiety disorder hospitalisation from medical institutions across nine cities between January 1, 2017, and December 31, 2018. Concurrent meteorological and air pollution data, including temperature, humidity, PM

resultsThe finding indicated a positive correlation between short-term exposure to air pollutants and hospitalization rates of anxiety disorders. The effect of each 10 µg/m

conclusionShort-term exposure to PM

Indexed as

Air PollutionAnxiety DisordersCost of IllnessEnvironmental ExposureHospitalizationAdolescentAdultAgedChinaCitiesCross-Over StudiesEnvironmental MonitoringFemaleFinancial StressHospitalsHumansParticulate MatterAir pollutionAnxiety disordersEconomic costsShort-term effectsTemporal stratification

Identifiers

PMID39987110
PMCPMC11846161

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.