Assessing the Influence of Traffic-related Air Pollution on Risk of Term Low Birth Weight on the Basis of Land-Use-based Regression Models and Measures of Air Toxics

Ghosh, Jo Kay; Wilhelm, Michelle; Su, Jason; Goldberg, Daniel W.; Cockburn, Myles; Jerrett, Michael; Ritz, Beate

doi:10.1093/aje/kwr469

Cited by 102 publications

(95 citation statements)

References 68 publications

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“…However, weighting regressions by the inverse of this variance had no noticeable influence on ORs and only slightly reduced confidence intervals (data not shown). A previous study in Los Angeles County identified an association between LBW and total PM 2.5 during the third trimester only (Ghosh et al, 2012), whereas we observed significant associations for exposure during the entire pregnancy and each pregnancy trimester. This previous study however was restricted to subjects living within 8 km from monitoring stations (Ghosh et al, 2012).…”

Section: Discussioncontrasting

confidence: 91%

“…A previous study in Los Angeles County identified an association between LBW and total PM 2.5 during the third trimester only (Ghosh et al, 2012), whereas we observed significant associations for exposure during the entire pregnancy and each pregnancy trimester. This previous study however was restricted to subjects living within 8 km from monitoring stations (Ghosh et al, 2012). The EBK approach allowed including all Los Angeles County births, yielding greater statistical power.…”

Section: Discussioncontrasting

confidence: 91%

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Sources and contents of air pollution affecting term low birth weight in Los Angeles County, California, 2001–2008

Olivier

et al. 2014

Environmental Research

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111

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a b s t r a c tBackground: Low birth weight (LBW, o 2500 g) has been associated with exposure to air pollution, but it is still unclear which sources or components of air pollution might be in play. The association between ultrafine particles and LBW has never been studied. Objectives: To study the relationships between LBW in term born infants and exposure to particles by size fraction, source and chemical composition, and complementary components of air pollution in Los Angeles County (California, USA) over the period [2001][2002][2003][2004][2005][2006][2007][2008]. Methods: Birth certificates (n ¼ 960,945) were geocoded to maternal residence. Primary particulate matter (PM) concentrations by source and composition were modeled. Measured fine PM, nitrogen dioxide and ozone concentrations were interpolated using empirical Bayesian kriging. Traffic indices were estimated. Associations between LBW and air pollution metrics were examined using generalized additive models, adjusting for maternal age, parity, race/ethnicity, education, neighborhood income, gestational age and infant sex. Results: Increased LBW risks were associated with the mass of primary fine and ultrafine PM, with several major sources (especially gasoline, wood burning and commercial meat cooking) of primary PM, and chemical species in primary PM (elemental and organic carbon, potassium, iron, chromium, nickel, and titanium but not lead or arsenic). Increased LBW risks were also associated with total fine PM mass, nitrogen dioxide and local traffic indices (especially within 50 m from home), but not with ozone. Stronger associations were observed in infants born to women with low socioeconomic status, chronic hypertension, diabetes and a high body mass index. Conclusions: This study supports previously reported associations between traffic-related pollutants and LBW and suggests other pollution sources and components, including ultrafine particles, as possible risk factors.

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Section: Discussioncontrasting

confidence: 91%

Section: Discussioncontrasting

confidence: 91%

Sources and contents of air pollution affecting term low birth weight in Los Angeles County, California, 2001–2008

Olivier

et al. 2014

Environmental Research

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111

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“…The small negative associations with term low birth weight and preterm birth in our study population were unexpected given that other studies have reported postive associations between these outcomes and urban air pollution Brauer et al 2008;Dadvand et al 2013;Ghosh et al 2012;Llop et al 2010) and proximity to natural gas wells (Hill 2013). It is possible that rural air quality near natural gas wells in Colorado is not as compromised as urban air quality in these studies, and exposure represented as IDW well count may not adequately Tables S6-S7).…”

Section: Discussionmentioning

confidence: 60%

“…Suspected nongenetic risk factors for these birth defects include folate deficiency (Wald and Sneddon 1991), maternal smoking (Honein et al 2006), alcohol abuse and solvent use (Romitti et al 2007), and exposure to benzene (Lupo et al 2010b;Wennborg et al 2005), toluene (Bowen et al 2009), polycyclic aromatic hydrocarbons (PAHs) (Ren et al 2011), and petroleum-based solvents, including aromatic hydrocarbons (Chevrier et al 1996). Associations between air pollution [volatile organic compounds (VOCs), particulate matter (PM), and nitrogen dioxide (NO 2 )] and low birth weight and preterm birth have been reported Brauer et al 2008;Dadvand et al 2013;Ghosh et al 2012;Llop et al 2010). Many of these air pollutants are emitted during development and production of natural gas (referred to herein as NGD), and concerns have been raised that they may increase risk of adverse birth outcomes and other health effects (Colborn et al 2011;McKenzie et al 2012).…”

Section: Introductionmentioning

confidence: 99%

- PRENATAL TOBACCO SMOKE EXPOSURE IS ASSOCIATED WITH CHILDHOOD DNA CpG METHYLATION

2015

Everyday Environmental Toxins

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Background: Birth defects are a leading cause of neonatal mortality. Natural gas development (NGD) emits several potential teratogens, and U.S. production of natural gas is expanding. oBjectives: We examined associations between maternal residential proximity to NGD and birth outcomes in a retrospective cohort study of 124,842 births between 1996 and 2009 in rural Colorado. Methods: We calculated inverse distance weighted natural gas well counts within a 10-mile radius of maternal residence to estimate maternal exposure to NGD. Logistic regression, adjusted for maternal and infant covariates, was used to estimate associations with exposure tertiles for congenital heart defects (CHDs), neural tube defects (NTDs), oral clefts, preterm birth, and term low birth weight. The association with term birth weight was investigated using multiple linear regression. results: Prevalence of CHDs increased with exposure tertile, with an odds ratio (OR) of 1.3 for the highest tertile (95% CI: 1.2, 1.5); NTD prevalence was associated with the highest tertile of exposure (OR = 2.0; 95% CI: 1.0, 3.9, based on 59 cases), compared with the absence of any gas wells within a 10-mile radius. Exposure was negatively associated with preterm birth and positively associated with fetal growth, although the magnitude of association was small. No association was found between exposure and oral clefts. conclusions: In this large cohort, we observed an association between density and proximity of natural gas wells within a 10-mile radius of maternal residence and prevalence of CHDs and possibly NTDs. Greater specificity in exposure estimates is needed to further explore these associations.

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“…최근에는 대기오염 측정망의 자료를 이용한 LUR 연 구들에서 진행되고 있다 (Ghosh et al, 2012;Olvera et al, 2012;Smargiassi et al, 2012;Saori et al, 2008). (Gordian et al, 2006;Zmirou et al, 2004;Brauer et al, 2002), 천식으로 인한 입원율을 높이고 (Lin et al, 2002;Edwards et al, 1994) 참 고 문 헌…”

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Land Use Regression Model for Assessing Exposure and Impacts of Air Pollutants in School Children

Lee¹,

Leem²,

Kim³

et al. 2012

Journal of Korean Society for Atmospheric Environment

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Epidemiologic studies of air pollution need accurate exposure assessments at unmonitored locations. A land use regression (LUR) model has been used successfully for predicting traffic-related pollutants, although its application has been limited to Europe, North America, and a few Asian region. Therefore, we modeled traffic-related pollutants by LUR then examined whether LUR models could be constructed using a regulatory monitoring network in Metropolitan area in Korea. We used the annual-mean nitrogen dioxide (NO 2 ) in 2010 in the study area. Geographic variables that are considered to predict traffic-related pollutants were classified into four groups: road type, traffic intensity, land use, and elevation. Using geographical variables, we then constructed a model to predict the monitored levels of NO 2 . The mean concentration of NO 2 was 30.71 ppb (standard deviation of 5.95) respectively. The final regression model for the NO 2 concentration included five independent variables. The LUR models resulted in R 2 of 0.59. The mean concentration of NO 2 of elementary schools was 34.04 ppb (standard deviation of 5.22) respectively. The present study showed that even if we used regulatory monitoring air quality data, we could estimate NO 2 moderately well. These analyses confirm the validity of land use regression modeling to assign exposures in epi- demiological studies, and these models may be useful tools for assessing health effects of long-term exposure to traffic related pollution.

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Assessing the Influence of Traffic-related Air Pollution on Risk of Term Low Birth Weight on the Basis of Land-Use-based Regression Models and Measures of Air Toxics

Cited by 102 publications

References 68 publications

Sources and contents of air pollution affecting term low birth weight in Los Angeles County, California, 2001–2008

Sources and contents of air pollution affecting term low birth weight in Los Angeles County, California, 2001–2008

- PRENATAL TOBACCO SMOKE EXPOSURE IS ASSOCIATED WITH CHILDHOOD DNA CpG METHYLATION

Land Use Regression Model for Assessing Exposure and Impacts of Air Pollutants in School Children

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