Fine particular matter and its constituents in air pollution and gestational diabetes mellitus

Yu, Guoqi; Ao, Junjie; Cai, Jing; Luo, Zhongming; Martin, Randall V.; Donkelaar, Aaron van; Kan, Haidong; Zhang, Jun

doi:10.1016/j.envint.2020.105880

Cited by 74 publications

(57 citation statements)

References 50 publications

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“…In this systematic review, the current evidence assessing environmental risk factors and GDM has been analyzed. Whilst we found clear evidence for an association between GDM and air pollution [29,[96][97][98][99][100][101][102][103][104][105][106][107], ambient temperature [31,[92][93][94][95], season [32,[85][86][87][88], cadmium [36,[80][81][82], arsenic [37,[70][71][72][73][74][75][76][77], POPs [55, 57-60, 62-64, 66, 67] and phthalates [45][46][47][48], the findings regarding phenols were rather heterogeneous. The results for adverse glycemic outcomes also showed clear associations regarding air pollution [98-100, 105, 107, 118-121], ambient temperature [92,94], season [32,85,…”

Section: Discussionmentioning

confidence: 79%

“…In summary, n = 22 of n = 25 studies showed that air pollution (through PM 2.5 [29,[96][97][98][99][100][101][102][103][104][105][106][107], NO [30,[108][109][110][111][112], NO 2 [30,108,109,[112][113][114], CO [30,113], PM 10 [98,100,104], BC [98], SO 2 [30,100,103,104,115], O 3 [30]) was clearly associated with an increased risk of GDM. Eight studies found a significant association (p < 0.01 [107,109], p < 0.05 [103,110,111,113], (aOR = 1.69 (1.41, 2.03) [108]).…”

Section: Air Pollution and Gdm (N = 25)mentioning

confidence: 94%

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Environmental health influences in pregnancy and risk of gestational diabetes mellitus: a systematic review

Eberle

Stichling

2022

BMC Public Health

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Background Gestational diabetes mellitus (GDM) is one of the most common pregnancy complications globally. Environmental risk factors may lead to increased glucose levels and GDM, which in turn may affect not only the health of the mother but assuming hypotheses of "fetal programming", also the health of the offspring. In addition to traditional GDM risk factors, the evidence is growing that environmental influences might affect the development of GDM. We conducted a systematic review analyzing the association between several environmental health risk factors in pregnancy, including climate factors, chemicals and metals, and GDM. Methods We performed a systematic literature search in Medline (PubMed), EMBASE, CINAHL, Cochrane Library and Web of Science Core Collection databases for research articles published until March 2021. Epidemiological human and animal model studies that examined GDM as an outcome and / or glycemic outcomes and at least one environmental risk factor for GDM were included. Results Of n = 91 studies, we classified n = 28 air pollution, n = 18 persistent organic pollutants (POP), n = 11 arsenic, n = 9 phthalate n = 8 bisphenol A (BPA), n = 8 seasonality, n = 6 cadmium and n = 5 ambient temperature studies. In total, we identified two animal model studies. Whilst we found clear evidence for an association between GDM and air pollution, ambient temperature, season, cadmium, arsenic, POPs and phthalates, the findings regarding phenols were rather inconsistent. There were clear associations between adverse glycemic outcomes and air pollution, ambient temperature, season, POPs, phenols, and phthalates. Findings regarding cadmium and arsenic were heterogeneous (n = 2 publications in each case). Conclusions Environmental risk factors are important to consider in the management and prevention of GDM. In view of mechanisms of fetal programming, the environmental risk factors investigated may impair the health of mother and offspring in the short and long term. Further research is needed.

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Section: Discussionmentioning

confidence: 79%

Section: Air Pollution and Gdm (N = 25)mentioning

confidence: 94%

Environmental health influences in pregnancy and risk of gestational diabetes mellitus: a systematic review

Eberle

Stichling

2022

BMC Public Health

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“…This is one of the few studies exploring the association between metal components in PM 2.5 and the prevalence of T2DM. Human epidemiological researches on the associations are limited, and most of them are confined to gestational diabetes mellitus (GDM) ( Rammah et al, 2020 ; Yu et al, 2020 ; Zheng et al, 2021 ). Specifically, a retrospective cohort study carried out in China suggested that an IQR increase in nitrate, organic matter, and black carbon was associated with 13%, 14%, and 15% higher risks of GDM ( Yu et al, 2020 ).…”

Section: Discussionmentioning

confidence: 99%

How long-term air pollution and its metal constituents affect type 2 diabetes mellitus prevalence? Results from Wuhan Chronic Disease Cohort

Chen

Qin

Liu

et al. 2022

Environmental Research

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“…More recently, investigations have applied land use regression (LUR) models based on data from monitoring networks [23][24][25][26][27]. Others used a mixture of satellite simulation and monitoring data to predict spatially-and temporally-resolved estimates, although these either assigned exposures at the census mesh block level [28] or the delivery hospital [29] rather than the mother's residential address, or did not assess residential mobility during pregnancy [30]. Further, to our knowledge, no studies have explored the impact of air pollution exposure on subclinical metabolic disturbances during pregnancy, such as serum lipids.…”

Section: Introductionmentioning

confidence: 99%

Air Pollution, Residential Greenness and Metabolic Dysfunction during Early Pregnancy in the INfancia y Medio Ambiente (INMA) Cohort

Rammah

Whitworth

Amos

et al. 2021

IJERPH

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Despite extensive study, the role of air pollution in gestational diabetes remains unclear, and there is limited evidence of the beneficial impact of residential greenness on metabolic dysfunction during pregnancy. We used data from mothers in the Spanish INfancia y Medio Ambiente (INMA) Project from 2003–2008. We obtained spatiotemporally resolved estimates of fine particulate matter (PM2.5) and nitrogen dioxide (NO2) exposures in early pregnancy and estimated residential greenness using satellite-based Normal Difference Vegetation Index (NDVI) within 100, 300 and 500 m buffers surrounding the mother’s residence. We applied logistic regression models to evaluate associations between each of the three exposures of interest and (a) glucose intolerance and (b) abnormal lipid levels. We found limited evidence of associations between increases in PM2.5 and NO2 exposures and the metabolic outcomes. Though not statistically significant, high PM2.5 exposure (≥25 µg/m3) was associated with increased odds of glucose intolerance (OR = 1.16, 95% CI: 0.82, 1.63) and high cholesterol (OR = 1.14, 95% CI: 0.90, 1.44). High NO2 exposure (≥39.8 µg/m3) was inversely associated with odds of high triglycerides (OR = 0.70, 95% CI: 0.45, 1.08). Whereas NDVI was not associated with glucose intolerance, odds of high triglycerides were increased, although the results were highly imprecise. Results were unchanged when the air pollutant variables were included in the regression models. Given the equivocal findings in our study, additional investigations are needed to assess effects of air pollution and residential greenness on metabolic dysfunction during pregnancy.

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Fine particular matter and its constituents in air pollution and gestational diabetes mellitus

Cited by 74 publications

References 50 publications

Environmental health influences in pregnancy and risk of gestational diabetes mellitus: a systematic review

Environmental health influences in pregnancy and risk of gestational diabetes mellitus: a systematic review

How long-term air pollution and its metal constituents affect type 2 diabetes mellitus prevalence? Results from Wuhan Chronic Disease Cohort

Air Pollution, Residential Greenness and Metabolic Dysfunction during Early Pregnancy in the INfancia y Medio Ambiente (INMA) Cohort

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