Air pollution exposure and incidence of type 2 diabetes in women: A prospective analysis from the Mexican Teachers' Cohort

Cervantes-Martínez, Karla; Stern, Dalia; Zamora-Muñoz, José Salvador; López‐Ridaura, Ruy; Texcalac-Sangrador, José Luis; Cortés-Valencia, Adrian; Acosta-Montes, Jorge Octavio; Lajous, Martín; Riojas-Rodríguez, Horacio

doi:10.1016/j.scitotenv.2021.151833

Cited by 11 publications

(2 citation statements)

References 41 publications

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“…Latin American cities experience unacceptably high levels of air pollution (Gouveia et al, 2021). Exposure to air pollution has been linked to exacerbated asthma (Yang and Omaye, 2009), cardiovascular mortality and morbidity (Samet and Krewski, 2007;Shah et al, 2013), all-cause mortality (Samet and Krewski, 2007;Yang and Omaye, 2009), diabetes (Cervantes-Martínez et al, 2021), and restricted physical activity (Künzli et al, 2000). Because of transport-related emissions' contribution to both poor health and environmental impacts, Latin American countries and cities have taken action to attempt to improve air quality through transportation policies.…”

Section: 224 Air Qualitymentioning

confidence: 99%

Inclusive Cities: Healthy Cities for All

Duren¹,

Benítez²,

Bonilla³

et al. 2022

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Inter-American Development Bank Felipe Herrera Library Inclusive cities: healthy cities for all / edited by Nora Libertun. p. cm. -(IDB Monograph ; 984) Includes bibliographic references. 1. Environmental health-Latin America. 2. Housing and health-Latin America. 3. Health risk assessment-Latin America. 4. Urban policy-Latin America. I. Libertun, Nora. II.Inter-American Development Bank. Housing and Urban Development Division. III. Series. IDB-MG-984This publication reports on some of the health challenges facing cities. It aims to serve as a guide for public managers and decision makers optimize the great potential of cities to improve the well-being of those who reside in the cities of Latin America and the Caribbean. It is organized in two parts. The first part, Health Inequalities in Latin American Cities, focuses on identifying the ways in which social inequality has led to negative health outcomes, in order to make visible the relevance of the challenge of inequality and the urgency to grapple with it. The second part, Urban Policies for Healthy Cities, focuses on how cities can contribute to improving the health standards in their population.The publication addresses critical issues for urban health, such as the interdependence between physical-social factors and health, the relationship between urban characteristics and the incidence of COVID-19, the connections between social inequality and exposure to pollution environment, the relationship between urban planning and gender violence, the power of urban interventions -such as public transport and social housing-to improve health indicators, and the relevance of having good data to improve the accessibility of health systems. All the contributions in this book are based on data and rigorous research, and present real cases of the cities of the region.

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Section: 224 Air Qualitymentioning

confidence: 99%

Inclusive Cities: Healthy Cities for All

Duren¹,

Benítez²,

Bonilla³

et al. 2022

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“…Over time, the global incidence of GDM has been on the rise. As ambient air pollution has become an important factor affecting human health, there are emerging studies showing that airborne particulate matter may contribute to GDM [ 8 , 9 , 10 , 11 ]. Both animal and population studies demonstrated that exposure to PM 2.5 is positively linked to the risk of T2DM [ 12 , 13 , 14 , 15 ], affecting blood glucose through multiple pathways, including insulin resistance [ 16 ], endothelial dysfunction [ 17 , 18 ], and inflammatory responses [ 19 , 20 ].…”

Section: Introductionmentioning

confidence: 99%

The Influence of Airborne Particulate Matter on the Risk of Gestational Diabetes Mellitus: A Large Retrospective Study in Chongqing, China

Zeng,

Zhan,

Zhou

et al. 2023

Toxics

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Emerging research findings suggest that airborne particulate matter might be a risk factor for gestational diabetes mellitus (GDM). However, the concentration–response relationships and the susceptible time windows for different types of particulate matter may vary. In this retrospective analysis, we employ a novel robust approach to assess the crucial time windows regarding the prevalence of GDM and to distinguish the susceptibility of three GDM subtypes to air pollution exposure. This study included 16,303 pregnant women who received routine antenatal care in 2018–2021 at the Maternal and Child Health Hospital in Chongqing, China. In total, 2482 women (15.2%) were diagnosed with GDM. We assessed the individual daily average exposure to air pollution, including PM2.5, PM10, O3, NO2, SO2, and CO based on the volunteers’ addresses. We used high-accuracy gridded air pollution data generated by machine learning models to assess particulate matter per maternal exposure levels. We further analyzed the association of pre-pregnancy, early, and mid-pregnancy exposure to environmental pollutants using a generalized additive model (GAM) and distributed lag nonlinear models (DLNMs) to analyze the association between exposure at specific gestational weeks and the risk of GDM. We observed that, during the first trimester, per IQR increases for PM10 and PM2.5 exposure were associated with increased GDM risk (PM10: OR = 1.19, 95%CI: 1.07~1.33; PM2.5: OR = 1.32, 95%CI: 1.15~1.50) and isolated post-load hyperglycemia (GDM-IPH) risk (PM10: OR = 1.23, 95%CI: 1.09~1.39; PM2.5: OR = 1.38, 95%CI: 1.18~1.61). Second-trimester O3 exposure was positively correlated with the associated risk of GDM, while pre-pregnancy and first-trimester exposure was negatively associated with the risk of GDM-IPH. Exposure to SO2 in the second trimester was negatively associated with the risk of GDM-IPH. However, there were no observed associations between NO2 and CO exposure and the risk of GDM and its subgroups. Our results suggest that maternal exposure to particulate matter during early pregnancy and exposure to O3 in the second trimester might increase the risk of GDM, and GDM-IPH is the susceptible GDM subtype to airborne particulate matter exposure.

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