Human epidemiological evidence about the association between air pollution exposure and gestational diabetes mellitus: Systematic review and meta-analysis

Hu, Chengyang; Gao, Xiang; Fang, Yuan; Jiang, Wen Qi; Huang, Kai; Hua, Xiao-Guo; Yang, Xiao-Jing; Chen, Hongbo; Jiang, Zhengxuan; Zhang, Xiujun

doi:10.1016/j.envres.2019.108843

Cited by 58 publications

(35 citation statements)

References 41 publications

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“…While there is substantial evidence concerning ambient air pollution and type 2 diabetes in the non-pregnant adult population, the association between ambient air pollution and GDM is less well characterised [26]. A meta-analysis of 11 studies exploring this relationship only found second trimester PM 2.5 and first and second trimester NO x exposure were associated with increased likelihood of GDM, with no association observed in pooled estimates for NO 2 , ozone or sulfur dioxide [10]. Again, comparison of our findings with those presented in the meta-analysis is challenging due to the higher exposure increments presented in the meta-analysis, highlighting the limited evidence in the low-level pollution setting, as well as the challenges in comparing heterogenous exposure periods (annual versus trimester-specific or whole of pregnancy).…”

Section: Discussionmentioning

confidence: 99%

“…The use of an annual average of exposure provides a surrogate for a woman's long-term background exposure. Perinatal epidemiology studies such as this typically utilise trimester-specific or whole of pregnancy exposure estimates [9][10][11][12][13]. Limited studies in this discipline have utitlised annual averages of pollutants, or proxies of pollutants (e.g., traffic density as a proxy of traffic-related air pollution) [33][34][35].…”

Section: Discussionmentioning

confidence: 99%

“…Evidence of an adverse association between air pollution and GDM is less well-established. A meta-analysis of 11 studies exploring NO 2 , nitrogen oxides, ozone and sulfur dioxide only found an association between second trimester PM 2.5 and first and second trimester NO x exposure and GDM [10]. Only a handful of studies have specifically explored ambient air pollution and placental abruption; with all three studies finding an adverse association [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

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Maternal Exposure to Ambient Air Pollution and Pregnancy Complications in Victoria, Australia

Melody

Wills

Knibbs

et al. 2020

IJERPH

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The relationship between maternal exposure to ambient air pollution and pregnancy complications is not well characterized. We aimed to explore the relationship between maternal exposure to ambient nitrogen dioxide (NO2) and fine particulate matter (PM2.5) and hypertensive disorders of pregnancy, gestational diabetes mellitus (GDM) and placental abruption. Using administrative data, we defined a state-wide cohort of singleton pregnancies born between 1 March 2012 and 31 December 2015 in Victoria, Australia. Annual average NO2 and PM2.5 was assigned to maternal residence at the time of birth. 285,594 singleton pregnancies were included. An IQR increase in NO2 (3.9 ppb) was associated with reduced likelihood of hypertensive disorders of pregnancy (RR 0.89; 95%CI 0.86, 0.91), GDM (RR 0.92; 95%CI 0.90, 0.94) and placental abruption (RR 0.81; 95%CI 0.69, 0.95). Mixed observations and smaller effect sizes were observed for IQR increases in PM2.5 (1.3 µg/m3) and pregnancy complications; reduced likelihood of hypertensive disorders of pregnancy (RR 0.95; 95%CI 0.93, 0.97), increased likelihood of GDM (RR 1.02; 95%CI 1.00, 1.03) and no relationship for placental abruption. In this exploratory study using an annual metric of exposure, findings were largely inconsistent with a priori expectations and further research involving temporally resolved exposure estimates are required.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Maternal Exposure to Ambient Air Pollution and Pregnancy Complications in Victoria, Australia

Melody

Wills

Knibbs

et al. 2020

IJERPH

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“…Nonetheless, it is important to note that due to the myriad ways in which socioeconomic and environmental factors interact, it is very difficult to establish highly detailed associations of single environmental risk factors with epidemiological outcomes [14][15][16][17]. Moreover, environmental factors rarely occur in isolation; for example, a population can be exposed to a combination of pollutants from different sources, which could result in additive or synergistic effects and symptoms, making medical diagnostic processes extremely cumbersome [1].…”

Section: Environmental Burden Of Diseasementioning

confidence: 99%

Sensor-as-a-Service: Convergence of Sensor Analytic Point Solutions (SNAPS) and Pay-A-Penny-Per-Use (PAPPU) Paradigm as a Catalyst for Democratization of Healthcare in Underserved Communities

et al. 2020

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In this manuscript, we discuss relevant socioeconomic factors for developing and implementing sensor analytic point solutions (SNAPS) as point-of-care tools to serve impoverished communities. The distinct economic, environmental, cultural, and ethical paradigms that affect economically disadvantaged users add complexity to the process of technology development and deployment beyond the science and engineering issues. We begin by contextualizing the environmental burden of disease in select low-income regions around the world, including environmental hazards at work, home, and the broader community environment, where SNAPS may be helpful in the prevention and mitigation of human exposure to harmful biological vectors and chemical agents. We offer examples of SNAPS designed for economically disadvantaged users, specifically for supporting decision-making in cases of tuberculosis (TB) infection and mercury exposure. We follow-up by discussing the economic challenges that are involved in the phased implementation of diagnostic tools in low-income markets and describe a micropayment-based systems-as-a-service approach (pay-a-penny-per-use—PAPPU), which may be catalytic for the adoption of low-end, low-margin, low-research, and the development SNAPS. Finally, we provide some insights into the social and ethical considerations for the assimilation of SNAPS to improve health outcomes in marginalized communities.

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“…A wide body of research has evidenced the effects of air pollution upon physical health; it causes both mortality and multiple morbidities including respiratory and cardiovascular illness (3,4). More recently links between cognition, mental health and dementia and air pollution have been identified (5)(6)(7).…”

Section: Introductionmentioning

confidence: 99%

Real-world assessment of vehicle air pollutant emissions subset by vehicle type, fuel and EURO class: New findings from the recent UK EDAR field campaigns, and implications for emissions restricted zones

Ghaffarpasand

Beddows

Ropkins

et al. 2020

Science of The Total Environment

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Human epidemiological evidence about the association between air pollution exposure and gestational diabetes mellitus: Systematic review and meta-analysis

Cited by 58 publications

References 41 publications

Maternal Exposure to Ambient Air Pollution and Pregnancy Complications in Victoria, Australia

Maternal Exposure to Ambient Air Pollution and Pregnancy Complications in Victoria, Australia

Sensor-as-a-Service: Convergence of Sensor Analytic Point Solutions (SNAPS) and Pay-A-Penny-Per-Use (PAPPU) Paradigm as a Catalyst for Democratization of Healthcare in Underserved Communities

Real-world assessment of vehicle air pollutant emissions subset by vehicle type, fuel and EURO class: New findings from the recent UK EDAR field campaigns, and implications for emissions restricted zones

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