Literature DB >> 32538454

Heavy metal concentration in classroom dust samples and its relationship with childhood asthma: a study from Islamic Republic of Iran.

Mozhgan Moghtaderi1, Mohammad Ali Ashraf2, Tahereh Moghtaderi3, Saeed Hosseini Teshnizi4, Seyed Hesamedin Nabavizadeh1.   

Abstract

BACKGROUND: Classrooms are an important environment for young children as this is where they spend a large part of their time. AIMS: This study was designed to quantify the levels of heavy metals in classroom dusts in Shiraz, a city southwestern Iran. The potential association between heavy metal levels and childhood asthma was also investigated.
METHODS: We selected 32 schools for collecting classroom dust samples during September-November 2016. The concentration of 10 heavy metals was measured in these dust samples by optical emission spectrometry. The diagnosis of childhood asthma was made using both the medical chart of each student and examination by an allergist. The data were analysed using SPSS, version 21.0.
RESULTS: The concentration of heavy metals in classroom dust samples ranged from 7559 to 53 723.0 mg/kg (mean: 16 945.5 mg/kg) for Fe, 169.0 to 952.0 mg/kg (mean 288.9 mg/kg) for Mn, and 9.0 to 971.0 mg/kg (mean 258.8 mg/kg) for Pb. We found no correlation between heavy metals in classroom dust and childhood asthma.
CONCLUSION: In comparison with studies reported elsewhere, the maximum levels of lead in our study were greater. A potential explanation for the lack of correlation with childhood asthma is the large mass of the particles, preventing them from reaching the lower airways. Nevertheless, special attention should be paid to reducing high levels of heavy metals in classroom dust in this area.
Copyright © World Health Organization (WHO) 2020. Open Access. Some rights reserved. This work is available under the CC BY-NC-SA 3.0 IGO license (https://creativecommons.org/licenses/by-nc-sa/3.0/igo).

Entities:  

Keywords:  asthma; dust; environment; heavy metals; schoolchildren

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Substances:

Year:  2020        PMID: 32538454     DOI: 10.26719/emhj.19.072

Source DB:  PubMed          Journal:  East Mediterr Health J        ISSN: 1020-3397            Impact factor:   1.628


  3 in total

1.  Machine learning-driven identification of early-life air toxic combinations associated with childhood asthma outcomes.

Authors:  Yan-Chak Li; Hsiao-Hsien Leon Hsu; Yoojin Chun; Po-Hsiang Chiu; Zoe Arditi; Luz Claudio; Gaurav Pandey; Supinda Bunyavanich
Journal:  J Clin Invest       Date:  2021-11-15       Impact factor: 19.456

2.  Assessment of house dust trace elements and human exposure in Ankara, Turkey.

Authors:  Hatice Kubra Gul; Gulen Gullu; Parisa Babaei; Afsoun Nikravan; Perihan Binnur Kurt-Karakus; Guray Salihoglu
Journal:  Environ Sci Pollut Res Int       Date:  2022-08-31       Impact factor: 5.190

Review 3.  The Safety of Schools Based on Heavy Metal Concentrations in Classrooms' Dust: A Systematic Review and Meta-Analysis.

Authors:  Mozhgan Moghtaderi; Saeed Hosseini Teshnizi; Tahereh Moghtaderi; Mohammad Ali Ashraf; Habibollah Faraji
Journal:  Iran J Public Health       Date:  2020-12       Impact factor: 1.429

  3 in total

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