Risks of preterm birth and low birth weight and maternal exposure to NO2/PM2.5 acquired by dichotomous evaluation: a systematic review and meta-analysis

Tai Ho Hung; Pei Hung Chen; Tao Hsin Tung; Jie Hsu; Te Yao Hsu; Gwo Hwa Wan

doi:10.1007/s11356-022-24520-5

Risks of preterm birth and low birth weight and maternal exposure to NO₂/PM_2.5 acquired by dichotomous evaluation: a systematic review and meta-analysis

Tai Ho Hung, Pei Hung Chen, Tao Hsin Tung, Jie Hsu, Te Yao Hsu, Gwo Hwa Wan^*

^*Corresponding author for this work

Research output: Contribution to journal › Review article › peer-review

11 Scopus citations

Abstract

No consistent results from past studies have been found on the relationship between the effects of air pollutant exposure, preterm birth (PTB) and low birth weight (LBW) in fetuses. This study aimed to analyze the impact of high concentrations of air pollutants on the health outcomes of fetuses, especially regarding PTB and LBW. This study used keywords related to air pollutants, pregnancy, and birth outcomes, to search the literature within the databases of the Cochrane Library, PubMed, and Embase, which were published as of July 26, 2022. A total of 24 studies were included in this meta-analysis. This meta-analysis revealed that nitrogen dioxide (NO₂) exposure throughout pregnancy was associated with an increased risk of PTB. Maternal exposure to PM_2.5 (particulate matter sized less than 2.5 μm) during gestation was associated with the risk of LBW. The findings of this meta-analysis provide an important foundation for evaluating the relationship between exposure of air pollutants and fetal birth outcomes in countries with severe air pollution in the future.

Original language	English
Pages (from-to)	9331-9349
Number of pages	19
Journal	Environmental Science and Pollution Research
Volume	30
Issue number	4
DOIs	https://doi.org/10.1007/s11356-022-24520-5
State	Published - 01 2023

Bibliographical note

Keywords

Low birth weight
Meta-analysis
NO
PM
Pregnant woman
Preterm birth
Nitrogen Dioxide/analysis
Infant, Low Birth Weight
Humans
Maternal Exposure
Air Pollution/analysis
Pregnancy
Birth Weight
Air Pollutants/analysis
Premature Birth/epidemiology
Female
Particulate Matter/analysis
Infant, Newborn

Access to Document

10.1007/s11356-022-24520-5

Cite this

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title = "Risks of preterm birth and low birth weight and maternal exposure to NO2/PM2.5 acquired by dichotomous evaluation: a systematic review and meta-analysis",

abstract = "No consistent results from past studies have been found on the relationship between the effects of air pollutant exposure, preterm birth (PTB) and low birth weight (LBW) in fetuses. This study aimed to analyze the impact of high concentrations of air pollutants on the health outcomes of fetuses, especially regarding PTB and LBW. This study used keywords related to air pollutants, pregnancy, and birth outcomes, to search the literature within the databases of the Cochrane Library, PubMed, and Embase, which were published as of July 26, 2022. A total of 24 studies were included in this meta-analysis. This meta-analysis revealed that nitrogen dioxide (NO2) exposure throughout pregnancy was associated with an increased risk of PTB. Maternal exposure to PM2.5 (particulate matter sized less than 2.5 μm) during gestation was associated with the risk of LBW. The findings of this meta-analysis provide an important foundation for evaluating the relationship between exposure of air pollutants and fetal birth outcomes in countries with severe air pollution in the future.",

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author = "Hung, {Tai Ho} and Chen, {Pei Hung} and Tung, {Tao Hsin} and Jie Hsu and Hsu, {Te Yao} and Wan, {Gwo Hwa}",

note = "{\textcopyright} 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.",

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Risks of preterm birth and low birth weight and maternal exposure to NO₂/PM_2.5 acquired by dichotomous evaluation: a systematic review and meta-analysis. / Hung, Tai Ho; Chen, Pei Hung; Tung, Tao Hsin et al.
In: Environmental Science and Pollution Research, Vol. 30, No. 4, 01.2023, p. 9331-9349.

Research output: Contribution to journal › Review article › peer-review

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AU - Hsu, Te Yao

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