Associations between long-term exposure to air pollution, glycosylated hemoglobin, fasting blood glucose and diabetes mellitus in northern France

Riant, Margaux; Meirhaeghe, Aline; Giovannelli, Jonathan; Occelli, Florent; Havet, Anaïs; Cuny, Damien; Amouyel, Philippe; Dauchet, Luc

doi:10.1016/j.envint.2018.07.034

Cited by 64 publications

(28 citation statements)

References 34 publications

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“…Other study results revealed that men were at the highest risk of high blood pressure incidence, while women were at the highest risk of diabetes and asthma incidence (Requia et al 2017). Riant et al (2018) studied the association of diabetes mellitus with long-term exposure to air pollution in France. They showed that a 2 μg/m 3 increase in PM 10 and 5 μg/m 3 increase in NO 2 are associated with a 0.044% increase (CI 95%; 0.021 to 0.067) and 0.031% increase (CI 95%; 0.010 to 0.053) in HbA1c, respectively.…”

Section: Resultsmentioning

confidence: 99%

Association between exposure to ambient fine particulate matter and prevalence of type 2 diabetes in Iran: an ecological study

Janjani

Nabizadeh

Shamsipour

et al. 2020

Environ Sci Pollut Res

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Epidemiological evidence for the link between long-term exposure to air particulate matter (PM 2.5) and occurrence of type 2 diabetes (T2D) is limited such that little is known about the effect of PM 2.5 exposure and adult T2D prevalence. Thus, the aim of this ecological study is to evaluate the contribution of ambient PM 2.5 exposure to the adult T2D prevalence in the large population of Iran. The study was conducted based on Iran's large-scale cross-sectional surveilling non-communicable diseases (NCDs) risk factors (Timpka et al. 2015b). A total of 31,050 participants were enrolled in three sequential processes of study using cluster random sampling. PM 2.5 data in the urban area of 31 provinces of Iran were acquired from Tehran Air Quality Control Company (AQCC) and the Department of Environment (DoE) of Iran during 2012-2016. Moreover, major and minor diabetes risk factors were considered; the Pearson correlation and a stepwise regression model were performed to estimate associations between risk factors and diabetes and prediabetes prevalence. The results showed T2D prevalence was more frequent among women (10.61%) than men (9.35%). A weak positive correlation was observed between PM 2.5 level and diabetes prevalence with a correlation coefficient of 0.275, although there was no significant association between PM 2.5 value and prediabetes prevalence. Moreover, none of the variables included in the regression model could predict the prevalence of diabetes and prediabetes. According to our study results, it can be suggested that investigating the association between PM 2.5 exposure and T2D prevalence at individual level may provide a better understanding of PM 2.5 exposure and the risk of T2D prevalence.

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Section: Resultsmentioning

confidence: 99%

Association between exposure to ambient fine particulate matter and prevalence of type 2 diabetes in Iran: an ecological study

Janjani

Nabizadeh

Shamsipour

et al. 2020

Environ Sci Pollut Res

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“…Peng et al 2016 found that PM 2.5 exposure was signi cantly associated with increase in FBG concentration in non-diabetic subjects [43]. A study by Riant et al 2018 on 2895 participants aged 40-65 years in France reported that PM 10 exposure was associated with higher FBG and HbA1c [44]. A study by Chen et al 2016, reported that short-term exposure to PM 10 (four days) was associated with higher FBG concentration as well as IFG occurrence [45].…”

Section: Available Evidencementioning

confidence: 99%

Preconception air pollution exposure and glucose tolerance in healthy pregnant women in a middle-income country

Najafi

Zareie

Gohari

et al. 2020

Preprint

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Background: Preconception exposure to air pollution has been associated with glucose tolerance during pregnancy. However, the evidence in low and middle-income countries (LMICs) is under debate yet. Therefore, this study aimed to assess the relationship between exposure to ambient particulate matter (PM) and traffic indicators with glucose tolerance in healthy pregnant women in Sabzevar, Iran (2019).Methods: Two-hundred and fifty healthy pregnant women with singleton pregnancies and 24-26 weeks of gestations participated in our study. Land use regression (LUR) models were applied to estimate the annual mean of PM1, PM2.5 and PM10 at the residential address. Traffic indicators, including proximity of women to major roads as well as total streets length in 100, 300 and 500m buffers around the home were calculated using the street map of Sabzevar. The oral glucose tolerance test (OGTT) was used to assess glucose tolerance during pregnancy. Multiple linear regression adjusted for relevant covariates was used to estimate the association of fasting blood glucose (FBG), 1-h and 2-h post-load glucose with PMs and traffic indicators.Results: Exposure to PM1, PM2.5 and PM10 was significantly associated with higher FBG concentration. Higher total streets length in a 100 m buffer was associated with higher FBG and 1-h glucose concentrations. An interquartile range (IQR) increase in proximity to major roads was associated with a decrease of 3.42 mg/dL (95% confidence interval (CI): -4.47, -2.37, P-value < 0.01) in FBG level and -4.65 mg/dL (95% CI: -8.03, -1.26, P-value < 0.01) decrease in 1-h post-load glucose.Conclusion: We found that higher preconception exposure to air pollution was associated with higher FBG and 1-h glucose concentrations during pregnancy.

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“…9 The underlying mechanisms could include endothelial dysfunction, dysregulation of the visceral adipose tissue through inflammation, hepatic insulin resistance, and alterations in autonomic tone that may increase peripheral insulin resistance. 10 Type 2 diabetes and GDM share common risk factors, and both are characterized by insulin resistance and impaired insulin secretion. 11 The relationship between air pollutants and GDM has not been studied systematically though a number of related studies have been published.…”

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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Associations between long-term exposure to air pollution, glycosylated hemoglobin, fasting blood glucose and diabetes mellitus in northern France

Cited by 64 publications

References 34 publications

Association between exposure to ambient fine particulate matter and prevalence of type 2 diabetes in Iran: an ecological study

Association between exposure to ambient fine particulate matter and prevalence of type 2 diabetes in Iran: an ecological study

Preconception air pollution exposure and glucose tolerance in healthy pregnant women in a middle-income country

Air pollution and gestational diabetes mellitus: evidence from cohort studies

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