Air pollution, land use, and complications of pregnancy

Choe, Seung‐Ah; Kauderer, Sophie; Eliot, Melissa; Glazer, Kimberly B.; Kingsley, Samantha L.; Carlson, Lynn; Awad, Yara Abu; Schwartz, Joel; Savitz, David A.; Wellenius, Gregory A.

doi:10.1016/j.scitotenv.2018.07.237

Cited by 92 publications

(46 citation statements)

References 40 publications

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“…The results indicated a statistically nonsignificant positive association between total natural spaces and increased BW; however, water bodies did not show any independent influence. Living within 1000 m proximity to coast was statistically significantly associated with a BW increase [52] and lower odds gestational diabetes [53]. The study also showed that living within 500 m of freshwater was associated with a 10.1 g (95% CI: 2.0, 18.2) increase in BW in the fully adjusted model, with a stronger association for women who were caucasian and lived in the wealthiest neighbourhoods.…”

Section: Associations With Blue Space Measuresmentioning

confidence: 55%

“…Most of the studies (n = 26) evaluated mean value of NDVI, while one study [39] also considered variance of greenness. Some studies considered the distance to major green spaces in the neighbourhood, either by calculating the linear distance [38,[49][50][51][52][53] or by using street network buffer based on walkable distances [40,49,50,54]. Some studies [27,37,[44][45][46][55][56][57][58][59] used the proportion of green/natural spaces in the total area of census block or zip code as a surrogate for greenness exposure.…”

Section: Exposure Variablesmentioning

confidence: 99%

“…Measures of specific types of vegetation such as the percentage of tree coverage [39,54,[60][61][62] and street tree buffering (availability of trees on the street) [61,63] were also assessed in some studies. Finally, some studies [46,52,53,64,65] assessed the association between blue space and pregnancy outcomes, either by using residential proximity to fresh water bodies [52,53,64,65] and coasts [52,53], or analysing the proportion of water surfaces within residential areas [46]. A recent study from the United States [54] used a composite measure, urban neighbourhood green index (NGHI), which comprised green space percentage and proximity measures, as well as building density and height of surrounding structures, hypothesizing these to be structural influences on green space quality.…”

Section: Exposure Variablesmentioning

confidence: 99%

“…All studies used objective and validated outcome variables. A major number of studies (n = 32) investigated infant related birth outcomes while fewer studies [37,41,45,51,53,69,70] focused on maternal health outcomes, including pre-eclampsia [45,53,70], hypertension [53], gestational diabetes [41,45,53] and depression [37,51]. The number of studies that examined foetal growth (BW, LBW, and SGA), gestation length (gestational age, PTB, VPTB) and other outcomes (blood pressure, head circumferences, 5 min low Apgar score, neonatal mortality) were 28, 16 and 7, respectively (Supplementary Document 1, Table S4).…”

Section: Outcome Variablesmentioning

confidence: 99%

See 3 more Smart Citations

A Systematic Review and Meta-Analysis of Associations between Green and Blue Spaces and Birth Outcomes

Akaraci

Feng

Suesse

et al. 2020

IJERPH

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Previous studies suggest that green and blue spaces may promote several health outcomes including birth outcomes. However, no synthesis of previous work has specifically asked policy-relevant questions of how much and what type is needed in every neighborhood to elicit these benefits at the population level. A systematic review and meta-analyses were conducted to synthesize thirty-seven studies on the association between residential green and blue spaces and pregnancy outcomes. Meta-analyses were performed for birth weight (BW), small for gestational age (SGA), low birth weight (LBW) and preterm birth (PTB). Increase in residential greenness was statistically significantly associated with higher BW [β = 0.001, 95%CI: (<0.001, 0.002)] and lower odds of SGA [OR = 0.95, 95%CI: (0.92, 0.97)]. Associations between green space and LBW and PTB were as hypothesized but not statistically significant. Associations between blue spaces and pregnancy outcomes were not evident. No study explicitly examined questions of threshold, though some evidence of nonlinearity indicated that moderate amounts of green space may support more favorable pregnancy outcomes. Policy-relevant green and blue space exposures involving theory-driven thresholds warrant testing to ensure future investments in urban greening promote healthier pregnancy outcomes.

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Section: Associations With Blue Space Measuresmentioning

confidence: 55%

Section: Exposure Variablesmentioning

confidence: 99%

Section: Exposure Variablesmentioning

confidence: 99%

Section: Outcome Variablesmentioning

confidence: 99%

See 2 more Smart Citations

A Systematic Review and Meta-Analysis of Associations between Green and Blue Spaces and Birth Outcomes

Akaraci

Feng

Suesse

et al. 2020

IJERPH

View full text Add to dashboard Cite

show abstract

“…11 The relationship between air pollutants and GDM has not been studied systematically though a number of related studies have been published. [12][13][14][15][16][17][18][19][20][21][22][23][24] To the best of our knowledge, thus far, there is no available accumulated evidence on their relationship. We therefore systematically identified, and reviewed the epidemiological evidence on the association between air pollutants and GDM.…”

Section: Introductionmentioning

confidence: 99%

Air pollution and gestational diabetes mellitus: evidence from cohort studies

Tang

Zhou

Luo

et al. 2020

BMJ Open Diab Res Care

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Exposure to different air pollutants has been linked to type 2 diabetes mellitus, but the evidence for the association between air pollutants and gestational diabetes mellitus (GDM) has not been systematically evaluated. We systematically retrieved relevant studies from PubMed, Embase, and the Web of Science, and performed stratified analyses and regression analyses. Thirteen studies were analyzed, comprising 1 547 154 individuals from nine retrospective studies, three prospective studies, and one case–control study. Increased exposure to particulate matter ≤2.5 µm in diameter (PM2.5) was not associated with the increased risk of GDM (adjusted OR 1.03, 95% CI 0.99 to 1.06). However, subgroup analysis showed positive correlation of PM2.5 exposure in the second trimester with an increased risk of GDM (combined OR 1.07, 95% CI 1.00 to 1.13). Among pollutants other than PM2.5, significant association between GDM and nitrogen dioxide (NO2) (OR 1.05, 95% CI 1.01 to 1.10), nitrogen oxide (NOx) (OR 1.03, 95% CI 1.01 to 1.05), and sulfur dioxide (SO2) (OR 1.09, 95% CI 1.03 to 1.15) was noted. There was no significant association between exposure to black carbon or ozone or carbon monoxide or particulate matter ≤10 µm in diameter and GDM. Thus, systematic review of existing evidence demonstrated association of exposure to NO2, NOx, and SO2, and the second trimester exposure of PM2.5 with the increased risk of GDM. Caution may be exercised while deriving conclusions from existing evidence base because of the limited number and the observational nature of studies.

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MicroRNA signature of air pollution exposure‐induced congenital defects

et al. 2019

Journal Cellular Physiology

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Air pollution exposure has been increasing extensively and there are evidence suggesting that exposure to air pollution during pregnancy can lead to congenital defects in the offspring. Recent findings suggested that microRNAs (miRNAs) might play important roles in the pathogenesis of developmental defects. However, the miRNAs profile pattern in the air pollution‐exposed embryos remains unknown. RNA sequencing was performed to determine the differentially expressed miRNAs in the rat embryos (gestation day 9) with or without air pollution exposure. The potential functions and the associated mechanisms of these differentially expressed miRNAs were determined using Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and Gene Ontology (GO) analyses. The regulatory networks of mRNA–miRNA interactions were also reconstructed. As compared with the control group, a total of 291 miRNAs were differentially expressed in the rat embryos from the air pollution‐exposed group, in which 204 and 87 miRNAs were significantly downregulated and upregulated, respectively. These miRNAs were predicted to deregulate mitotic spindle organization, cellular respiration, glycolate metabolism, and proteasome. Extensive regulation of target genes by miR‐346, miR‐504, miR‐214‐3p and miR‐1224 was also predicted. Our results suggested that miRNAs may play crucial roles in the pathogenesis of air pollution‐induced congenital spinal defects through deregulating multiple biological processes.

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Air pollution, land use, and complications of pregnancy

Cited by 92 publications

References 40 publications

A Systematic Review and Meta-Analysis of Associations between Green and Blue Spaces and Birth Outcomes

A Systematic Review and Meta-Analysis of Associations between Green and Blue Spaces and Birth Outcomes

Air pollution and gestational diabetes mellitus: evidence from cohort studies

MicroRNA signature of air pollution exposure‐induced congenital defects

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