Evidence map›Paper›PMID 41274933›Full record

ArticleScientific reports2025

Dust air pollution and hospital visits for respiratory, cardiovascular, and eye diseases in Eastern Iran.

Mohsen Hamidian, Anis Jor, Khadije Rezaie Keikhaie, Afrooz Mazidimoradi, Zahra Shahabinia, Hamid Salehiniya

Abstract read
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Article in Scientific reports, 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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1 · What the graph read from it

What it found

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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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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Mohsen HamidianStudent Research Committee, Faculty of Nursing and Midwifery, Zabol University of Medical Sciences, Zabol, Iran.
Anis JorFaculty of Nursing and Midwifery, Zabol University of Medical Sciences, Zabol, Iran.
Khadije Rezaie KeikhaieDepartment of Obstetrics and Gynecology, School of Medicine, Medicinal Plants Research Center, Amir al Momenin Hospital, Zabol University of Medical Sciences, Zabol, Iran.
Afrooz MazidimoradiShiraz University of Medical Sciences, Shiraz, Iran.
Zahra ShahabiniaBirjand University of Medical Sciences, Birjand, Iran.
Hamid SalehiniyaDepartment of Epidemiology and Biostatistics, School of Health, Social Determinants of Health Research Center, Birjand University of Medical Sciences, Birjand, Iran. alesaleh70@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the most significant environmental concerns that has been spreading in recent years due to human interference and irrational use of natural resources is the phenomenon of dust. This study investigated the relationship between dust air pollution and the burden of daily hospital visits due to respiratory, cardiovascular, and eye diseases. In this cross-sectional study, data on dust air pollution were collected from the Environment office and data on daily visits to hospitals from the hospital information system (HIS) through a checklist. Data analysis was performed using SPSS 22 software and Pearson correlation coefficient at a significance level of < 0.05. The average dust air pollution index in the studied area was 2233.71 ± 4737.52 µg/m³. The mean number of hospital visits for various conditions were as follows: pneumonia, 63.76 ± 84.72; eye diseases, 46.8 ± 70.2; chronic obstructive pulmonary disease (COPD), 62.5 ± 83.3; asthma, 64.7 ± 87.0; dyspnea, 63.8 ± 90.8; and cardiovascular diseases, 56.5 ± 66.2 patients. A significant moderate positive linear correlation was found between dust air pollution levels and daily hospital visits for pneumonia, dyspnea, COPD, asthma, eye diseases, and cardiovascular diseases (p < 0.0001). As air pollution increased, the number of hospital visits for these conditions also rose. The strongest correlation was observed between dust air pollution and dyspnea (r = 0.497), while the weakest correlation was found between dust air pollution and eye diseases (r = 0.406). Exposure to dust air pollution was correlated with hospital admissions for respiratory diseases, such as pneumonia, asthma, and COPD, as well as cardiovascular diseases and eye issues. It seems that using personal protection strategies by habitants to reduce dust exposure and implementation of long-term strategies by policymakers for controlling dust air pollution especially dust controlling for this region are necessary.

Indexed as

Air PollutionCardiovascular DiseasesDustEye DiseasesHospitalizationRespiratory Tract DiseasesAdultAir PollutantsCross-Sectional StudiesEnvironmental ExposureFemaleHumansIranMaleMiddle AgedPulmonary Disease, Chronic ObstructiveAir PollutantsDustAir pollutionAsthmaCardiovascular diseasesCOPDDustPneumonia

Identifiers

PMID41274933
PMCPMC12749386

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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.