Association of temporal distribution of fine particulate matter with glucose homeostasis during pregnancy in women of Chiayi City, Taiwan

Lu, Ming‐Chi; Wang, Panchalli; Cheng, Tsun‐Jen; Yang, Chun‐Pai; Yan, Yuan-Horng

doi:10.1016/j.envres.2016.09.023

Cited by 44 publications

(27 citation statements)

References 42 publications

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“…Given that this is the rst study looking at the association between exposure to PM 1 , PM 10 and tra c indicators with FBG, 1-h and 2-h post-load glucose concentrations obtained in OGTT as indicators of glucose homeostasis in healthy pregnant women; we could not compare or nding regarding these pollutants with results of previous studies. However, a study by Lu et al on the 3859 subjects aged over 30 years found that higher FBG, 1-h, 2-h and 3-h glucose concentrations in pregnant women who lived in areas with higher PM 2.5 level [16]. A part of this study (i.e., signi cant positive association between PM 2.5 exposures and FBG concentration) is in line with our ndings; while, the associations of 1h and 2-h glucose were inconsistent with our ndings.…”

Section: Available Evidencementioning

confidence: 95%

“…However, the results of these studies are inconsistent. Some of these studies reported a signi cant relationship between exposure to PMs with impaired glucose tolerance (IGT) [6,15,16] and increased risk of GDM [7,17,18]; however, other evidence reported opposing results [8,11,15]. These studies used different diagnostic criteria and had limitations in the timing of GDM development [17].…”

Section: Introductionmentioning

confidence: 99%

“…The emerging evidence indicated that the pre-pregnancy period might be crucial time-window and higher exposure to pollutions could lead to decrease in GDM development [19]. So for, a very limited studies have been investigated the relationship between exposure to tra c indicators and PMs with glucose tolerance in healthy pregnant women [15,16], and the available studies on the association of preconception exposure to tra c indicators and PMs with glucose concentrations obtained through oral glucose tolerance test (OGTT) have been exclusively conducted in high-income countries with no study available for low-middle-income or middle-income countries where urbanization is even more rapid. Given the variation in the observed associations between air pollution exposure and OGTT in different settings [8,17,18], it is not clear to what extent the results from high-income countries can be generalized to lowmiddle-income or middle-income countries.…”

Section: Introductionmentioning

confidence: 99%

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

Zareie

Gohari

Haghighi

et al. 2020

Preprint

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Background: The effect of preconception exposure to air pollution on glucose tolerance during pregnancy in developing and middle-income countries 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: Accordingly, 250 healthy pregnant women with singleton pregnancies of 24-26 weeks of gestations were participated in our study. Land use regression (LUR) models were applied to estimate the annual mean of PM1, PM2.5 and PM10 at residential address. Traffic indicators, including distance from home to the nearest major road (DHMR) as well as total streets length in 100, 300 and 500m buffers around the home (TSL-100, 300 and 500) were calculated using the street map of Sabzevar. 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 TSL-100 was associated with higher FBG and 1-h glucose concentrations. Each one interquartile range (IQR) increase in DHMR the levels of FBG and 1-h post-load glucose were decreased -3.42 mg/dL (95% confidence interval (CI): -4.47, -2.37, P-value < 0.01) and -4.65 mg/dL (95% CI: -8.03, -1.26, P-value < 0.01), respectively. Conclusion: We found higher preconception exposure to air pollution and exposure to air pollution during pregnancy were negatively associated with glucose tolerance during pregnancy in a middle income country.

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Section: Available Evidencementioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Zareie

Gohari

Haghighi

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Given that this is the rst studies looking at the association between exposure to PM 1 , PM 10 and tra c indicators with FBG, 1-h and 2-h post-load glucose concentrations obtained in OGTT as indicators of glucose homeostasis in healthy pregnant women; we could not compare our nding regarding these pollutants with results of previous studies. However, a study by Lu et al 2017 on the 3859 subjects aged over 30 years found that higher FBG, 1-h, 2-h and 3-h glucose concentrations in pregnant women who lived in areas with higher PM 2.5 level [17]. A part of this study (i.e., signi cant positive association between PM 2.5 exposures and FBG concentration) is in line with our ndings; while, the associations of 1h and 2-h glucose were inconsistent with our ndings.…”

Section: Available Evidencementioning

confidence: 96%

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

Najafi

Zareie

Gohari

et al. 2020

Preprint

View full text Add to dashboard Cite

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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“…11 The relationship between air pollutants and GDM has not been studied systematically though a number of related studies have been published. [12][13][14][15][16][17][18][19][20][21][22][23][24] To the best of our knowledge, thus far, there is no available accumulated evidence on their relationship. We therefore systematically identified, and reviewed the epidemiological evidence on the association between air pollutants and GDM.…”

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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Association of temporal distribution of fine particulate matter with glucose homeostasis during pregnancy in women of Chiayi City, Taiwan

Cited by 44 publications

References 42 publications

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

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

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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