Association of ambient particle pollution with gestational diabetes mellitus and fasting blood glucose levels in pregnant women from two Chinese birth cohorts

Hu, Qiansheng; Wang, Duo; Yue, Dingli; Xu, Chenyu; Hu, Bo; Cheng, Peng; Zhai, Yueyang; Mai, Huiying; Li, Ping; Gong, Jiao; Zeng, Xiaoling; Jiang, Tingwu; Mai, Dejian; Fu, Shao-jie; Guo, Lihua; Lin, Weiwei

doi:10.1016/j.scitotenv.2020.143176

Cited by 23 publications

(17 citation statements)

References 54 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: 80%

“…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: 95%

“…Overall, the most articles pointed out that exposure to air pollution (through PM 2.5 [98-100, 105, 107, 118-121], PM 10 [98,100,119,121], PM 1 [121], BC [98], NO 2 [119], CO [119], SO 2 [100]) was able to increase blood glucose levels in pregnant women. In n = 7 of n = 9 studies, air pollution was significantly associated (p < 0.05 [98,99,105,119,120], p < 0.01 [107,121]) with elevated fasting blood glucose concentrations. The remaining n = 2 studies by Fleisch et al (n = 2.093) [118] and Lin et al…”

Section: Air Pollution and Glycemic Outcomes (N = 9)mentioning

confidence: 99%

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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: 80%

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

confidence: 95%

Section: Air Pollution and Glycemic Outcomes (N = 9)mentioning

confidence: 99%

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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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“…Most studies had used the routine monitoring data of air as a measurement basis, then used the environment model [12 studies used the regression model of land use ( 19 , 22 , 25 , 30 , 36 - 38 , 41 , 43 , 45 , 47 , 48 ), 8 studies used the satellite remote sensing model ( 20 , 21 , 23 , 24 , 30 , 31 , 49 , 50 ), and the remaining 15 used discrete or novel models] to assign data to maternal residential address during delivery, and 6 studies defined exposure based on patients’ residential address at the city/town level ( 27 , 28 , 33 , 34 , 39 , 40 ). A total of 5 studies further considered residential mobility ( 10 , 11 , 32 , 44 , 46 ) and collected historical residential address information during pregnancy.…”

Section: Resultsmentioning

confidence: 99%

Association of air pollution and fine particulate matter (PM2.5) exposure with gestational diabetes: a systematic review and meta-analysis

Ren¹,

Yuan²,

Luo³

et al. 2023

Ann Transl Med

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Background The association between air pollution (AP) and gestational diabetes mellitus (GDM), especially between different pollutants and GDM, remains controversial and debatable. Hence, we conducted this systematic review and meta-analysis to provide comprehensive evidence-based support for the association between AP and GDM. Methods The databases of the Cochrane Library, Embase, PubMed, and Web of Science were searched from inception to 1 April 2022, in combination with manual retrieval. The Newcastle-Ottawa Scale (NOS) was used to assess the quality of case-control studies and cohort studies, while the Joana Brigg’s Institute (JBI) critical appraisal checklist was used for the quality assessment of cross-sectional studies. Results We identified 35 epidemiological studies (including 33 cohort studies, 1 cross-sectional study, and 1 case-control study) covering 6,939,725 pregnant women, of whom 865,460 were GDM patients. The NOS score of all included case-control studies and cohort studies was higher than six, and one of the included cross-sectional studies was rated as high quality according to the JBI assessment. Meta-analysis showed that fine particulate matter and air pollutants [PM2.5, odds ratio (OR) =1.06, 95% confidence interval (CI): 1.05–1.08, Z =7.76, P<0.001; PM10, OR =1.06, 95% CI: 1.01–1.11, Z =2.62, P=0.009; sulfur dioxide (SO 2 ), OR =1.18, 95% CI: 1.10–1.26, Z = 4.69, P<0.001; nitric oxide (NO), OR =1.04, 95% CI: 1.03–1.06,Z =3.33, P=0.001; nitrogen oxides (NO X ), OR =1.07, 95% CI: 1.04–1.11, Z =3.93, P<0.001; black carbon (BC), OR =1.08, 95% CI: 1.06–1.10, Z =7.58, P<0.001] was associated with GDM. Furthermore, no significant association was observed between O 3 , CO, and nitrogen dioxide (NO 2 ) exposure and GDM. Conclusions Exposure to PM2.5, PM10, SO 2 , NO, NO X , and BC significantly increases the risk of GDM. AP is a remediable environmental trigger that can be prevented by human interventions, such as lowering AP levels or limiting human exposure to air pollutants. The government should strengthen the supervision of air quality and make air quality information more transparent. Besides, living conditions are crucial during pregnancy. Living in a place with more green areas is recommended, and indoor air purification should also be enhanced.

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“…Air pollution exposure has been another global public health problem related to GDM ( 16 – 18 ). Interactions between air pollution exposure and dietary intake in several diseases including GDM have been reported in previous studies, possibly because both involve similar biological mechanisms, including variations in inflammation, oxidative reaction as well as methylation ( 19 – 21 ).…”

Section: Introductionmentioning

confidence: 99%

Carbohydrate intake quality and gestational diabetes mellitus, and the modifying effect of air pollution

et al. 2023

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BackgroundNutritional management is the cornerstone of gestational diabetes mellitus (GDM) prevention. High quality instead of low quantity of carbohydrate intake has been paying attention in controlling glycemia. Air pollution exposure can be interacted with dietary sourced nutrients, which may modify the associations with GDM. This study aims to explore the associations between overall quality of carbohydrate intake and GDM as well as the modifying effect of prenatal air pollution exposure.MethodsCarbohydrate quality index (CQI) was calculated was calculated by summing scores of the four components; Land use regression prediction models were used to assess the air pollution exposure levels. GDM definition was based on 75 g glucose tolerance test results. Associations between pre-pregnancy CQI, pre-natal air pollution as well as the modifying effect on GDM were explored based on a birth cohort in China.ResultsA total of 3,183 participants were included, of which 784 (24.63%) were diagnosed with GDM. Higher pre-pregnancy CQI was associated with a lower incidence of GDM [odds ratio (OR) = 0.75, 95% confidence interval (CI): 0.56–0.99, Pfor trend = 0.04], especially for higher fasting blood glucose related GDM (OR = 0.66, 95% CI: 0.47, 0.91). Higher air pollution exposure before and during pregnancy was associated with a greater risk of GDM. Higher exposure to particulate matter with an aerodynamic diameter of < 2.5 μm (Pfor interaction < 0.01), particulate matter with an aerodynamic diameter of < 10 μm (Pfor interaction < 0.01), and sulfur dioxide (Pfor interaction = 0.02) during pregnancy decreased the beneficial effect of high pre-pregnancy CQI on GDM.ConclusionCQI related dietary interventions pre-pregnancy to prevent GDM incidence should be considered. Women who are planning to be pregnant should avoid high exposure to air pollution during pregnancy.

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Association of ambient particle pollution with gestational diabetes mellitus and fasting blood glucose levels in pregnant women from two Chinese birth cohorts

Cited by 23 publications

References 54 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

Association of air pollution and fine particulate matter (PM2.5) exposure with gestational diabetes: a systematic review and meta-analysis

Carbohydrate intake quality and gestational diabetes mellitus, and the modifying effect of air pollution

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