Exposure to particulate matter and adverse birth outcomes: a comprehensive review and meta-analysis

Sapkota, Amir; Chelikowsky, Adam P.; Nachman, Keeve E.; Cohen, Aarón; Ritz, Beate

doi:10.1007/s11869-010-0106-3

Cited by 193 publications

(160 citation statements)

References 68 publications

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“…Our results found that there are no significant associations between any air pollutants and PTB. We found small statistically significant associations of PM 10 averaged across the whole pregnancy period and NO 2 , CO, PM 10 and PM 2�5 at specific time points in pregnancy with an increased risk of SGA. The critical window of exposure of this association differed between pollutants.…”

Section: Summary Of Findingsmentioning

confidence: 53%

“…No association was found with NO x at any time point during pregnancy. There was no strong evidence of a particular critical window of exposure for PM 10 . For NO 2 and PM 2�5 , an association was found in the 3 rd trimester.…”

Section: Summary Of Findingsmentioning

confidence: 86%

“…A large body of work now exists from around the world investigating the effects of air pollution on pregnancy and the subsequent birth outcomes, which have given rise to several recent reviews (8)(9)(10). Numerous studies have found evidence to support the hypothesis that air pollution can increase the risks of PTB (11)(12)(13) and impaired fetal growth (14)(15)(16); however, the results are not yet Hannam et al consistent enough to confirm a causal link with specific pollutants.…”

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confidence: 99%

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Air pollution exposure and adverse pregnancy outcomes in a large UK birth cohort: use of a novel spatio-temporal modelling technique

Hannam¹,

McNamee²,

Baker³

et al. 2014

Scand J Work Environ Health

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This paper uses a novel air pollution modelling technique to capture strong spatial and temporal resolution in order to assign exposure estimates to a large cohort, reducing the risk of exposure misclassification. The association between air pollution and adverse pregnancy outcomes is quantified in North West England -an area where this has not been investigated before. Affiliation 518Scand J Work Environ Health 2014, vol 40, no 5 Original article Scand J Work Environ Health. 2014;40(5):518-530. doi:10.5271/sjweh.3423 Air pollution exposure and adverse pregnancy outcomes in a large UK birth cohort: use of a novel spatio-temporal modelling technique By Kimberly Hannam, PhD,1,2, 3 Roseanne McNamee, PhD, 3 Philip Baker, MD, 4 Colin Sibley, PhD,1, 2 Raymond Agius, MD 5 Hannam K, McNamee R, Baker P, Sibley C, Agius R. Air pollution exposure and adverse pregnancy outcomes in a large UK birth cohort: use of a novel spatio-temporal modelling technique. Scand J Work Environ Health. 2014;40(5):518-530 doi:10.5271/sjweh.3423Objectives Previous work suggests an association between air pollution exposure and adverse pregnancy outcomes, even at relatively low concentrations. Our aim was to quantify the effect of air pollution having an adverse effect on preterm birth (PTB) and fetal growth in a large UK cohort using a novel exposure estimation technique [spatio-temporal (S-T) model] alongside a traditional nearest stationary monitor technique (NSTAT).Methods All available postcodes from a Northwest England birth outcome dataset during 2004-2008 were geocoded (N=203 562 deliveries). Pollution estimates were linked to corresponding pregnancy periods using temporally adjusted background modelled concentrations as well as NSTAT. Associations with PTB, small for gestational age (SGA), and birth weight were investigated using regression models adjusting for maternal age, ethnicity, parity, birth season, socioeconomic status (SES), body mass index (BMI), and smoking.Results Based on the novel S-T model, a small statistically significant association was observed for particulate matter (PM 10 ) and SGA, particularly with exposure in the first and third trimesters. Similar effects on SGA were also found for nitrogen dioxide (NO 2 ), particulate matter (PM 2,5 ), and carbon monoxide (CO) in later pregnancy, but no overall increased risk was observed. No associations were found with NO x or the outcomes PTB and reduction in birth weight. ConclusionOur findings suggest an association between air pollution exposure and birth of a SGA infant, particularly in the later stages of pregnancy but not with PTB or mean birth weight change.Key terms England; exposure estimation; preterm birth; SGA; small-for-gestational age; spatio-temporal model. Pregnancy outcome is determined by the ability of the fetus to thrive, which depends on a complex combination of genetic, social, and environmental factors (1). If, during pregnancy, a mother is exposed to increased environmental or social stressors, this could result in an increased risk of re...

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Section: Summary Of Findingsmentioning

confidence: 53%

Section: Summary Of Findingsmentioning

confidence: 86%

mentioning

confidence: 99%

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Air pollution exposure and adverse pregnancy outcomes in a large UK birth cohort: use of a novel spatio-temporal modelling technique

Hannam¹,

McNamee²,

Baker³

et al. 2014

Scand J Work Environ Health

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“…*Published emission factors but not reported in text. **Emission factors reported explicitly in text ᴬ Age groups according to health outcomes; ᴯ Such as ≥18 years or ≥30 years; C Environmental Benefits Mapping and Analysis Program using the concentration response function from chronic bronchitis [63], acute bronchitis [64], all-cause mortality [65,104], COPD hospitalization (Moolgavgkar 2000a, 2003) [66], asthma emergency room visits [67], work loss days [68], asthma (symptoms) [69], minor-restricted activity days [70], acute MI [71], respiratory disease [72], lower respiratory symptoms [73], and cough among asthmatic children [74]; D Probable, but not specified explicitly in the text; ᴱ Health And Air Pollution Study in New Zealand to estimate the morbidity and mortality health costs associated with traffic emissions [82]; F CVD admission >64 years: [75]; ᴳ Mortality: <75 and >75 years, respiratory disease (65 years) [76], and lung cancer [104] Morbidity: CVD, respiratory disease [76], and lung cancer [104]; H Method of transport emission estimation is quite vague in determination of emission factors; I External cost of energy to estimate the automotive pollution impact on health in Europe [81]; J Cerebrovascular disease and lower respiratory tract infection [77], preterm weight [78], low term weight [79], and CVD (Mustafic 2012) [80]; K Value of a Life Year: calculation of monetary benefits of mortality reduction using a life tables approach. …”

Section: Resultsmentioning

confidence: 99%

“…

PM2.5: Particulate matter less than 2.5 µm; PM10: particulate matter less than 10 µm; BS: black soot; CP: cardiopulmonary; RM: respiratory mortality. ᴬ Age groups according to health outcomes; ᴯ Such as ≥18 years or ≥30 years; C Probable, but not specified explicitly in the text; D External cost of energy to estimate the automotive pollution impact on health in Europe [81]; E Calculation based on the actual number of participants who changed mode from car to bicycle; F Estimated for hypothetical individuals who changed transport mode from car to bicycle; G Cerebrovascular disease and lower respiratory tract infection [77], preterm weight [78], low term weight [79], and CVD (Mustafic 2012) [80]; H Value of a Life Year: calculation of monetary benefits of mortality reduction using a life tables approach.

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Section: Resultsmentioning

confidence: 99%

Air pollution as a risk factor in health impact assessments of a travel mode shift towards cycling

Raza

Forsberg

Johansson

et al. 2018

Global Health Action

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Background: Promotion of active commuting provides substantial health and environmental benefits by influencing air pollution, physical activity, accidents, and noise. However, studies evaluating intervention and policies on a mode shift from motorized transport to cycling have estimated health impacts with varying validity and precision. Objective: To review and discuss the estimation of air pollution exposure and its impacts in health impact assessment studies of a shift in transport from cars to bicycles in order to guide future assessments. Methods: A systematic database search of PubMed was done primarily for articles published from January 2000 to May 2016 according to PRISMA guidelines. Results: We identified 18 studies of health impact assessment of change in transport mode. Most studies investigated future hypothetical scenarios of increased cycling. The impact on the general population was estimated using a comparative risk assessment approach in the majority of these studies, whereas some used previously published cost estimates. Air pollution exposure during cycling was estimated based on the ventilation rate, the pollutant concentration, and the trip duration. Most studies employed exposure-response functions from studies comparing background levels of fine particles between cities to estimate the health impacts of local traffic emissions. The effect of air pollution associated with increased cycling contributed small health benefits for the general population, and also only slightly increased risks associated with fine particle exposure among those who shifted to cycling. However, studies calculating health impacts based on exposure-response functions for ozone, black carbon or nitrogen oxides found larger effects attributed to changes in air pollution exposure. Conclusion: A large discrepancy between studies was observed due to different health impact assessment approaches, different assumptions for calculation of inhaled dose and different selection of dose-response functions. This kind of assessments would improve from more holistic approaches using more specific exposure-response functions.

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Mapping exposure to particulate pollution during severe haze episode using improved MODIS AOT‐PM₁₀ regression model with synoptic meteorology classification

Leelasakultum

Oanh

2017

GeoHealth

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Severe smoke haze from biomass burning is frequently observed in Northern Thailand during dry months of February–April. Sparsely located monitoring stations operated in this vast mountainous region could not provide sufficient particulate matter (PM) data for exposure risk assessment. Satellite aerosol optical thickness (AOT) data could be used, but their reliable relationship with ground‐based PM data should be first established. This study aimed to improve the regression model between PM10 and Moderate Resolution Imaging Spectroradiometer AOT with consideration of synoptic patterns to better assess the exposure risk in the area. Among four synoptic patterns, each representing the totality of meteorology governing Northern Thailand on a given day, most severe haze days belonged to pattern 2 that featured conditions of clear sky, stagnant air, and high PM10 levels. AOT‐24 h PM10 regression model for pattern 2 had coefficient of determination improved to 0.51 from 0.39 of combined case. Daily exposure maps to PM10 in most severe haze period of February–April 2007 were produced for Chiangmai, the largest and most populated province in Northern Thailand. Regression model for pattern 2 was used to convert 24 h PM10 ranges of modified risk scale to corresponding AOT ranges, and the mapping was done using spatially continuous AOT values. The highest exposure risk to PM10 was shown in urban populated areas. Larger numbers of forest fire hot spots and more calm winds were observed on the days of higher exposure risk. Early warning and adequate health care plan are necessary to reduce exposure risk to future haze episodes in the area.

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Exposure to particulate matter and adverse birth outcomes: a comprehensive review and meta-analysis

Cited by 193 publications

References 68 publications

Air pollution exposure and adverse pregnancy outcomes in a large UK birth cohort: use of a novel spatio-temporal modelling technique

Air pollution exposure and adverse pregnancy outcomes in a large UK birth cohort: use of a novel spatio-temporal modelling technique

Air pollution as a risk factor in health impact assessments of a travel mode shift towards cycling

Mapping exposure to particulate pollution during severe haze episode using improved MODIS AOT‐PM₁₀ regression model with synoptic meteorology classification

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Exposure to particulate matter and adverse birth outcomes: a comprehensive review and meta-analysis

Cited by 193 publications

References 68 publications

Air pollution exposure and adverse pregnancy outcomes in a large UK birth cohort: use of a novel spatio-temporal modelling technique

Air pollution exposure and adverse pregnancy outcomes in a large UK birth cohort: use of a novel spatio-temporal modelling technique

Air pollution as a risk factor in health impact assessments of a travel mode shift towards cycling

Mapping exposure to particulate pollution during severe haze episode using improved MODIS AOT‐PM10 regression model with synoptic meteorology classification

Contact Info

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About

Mapping exposure to particulate pollution during severe haze episode using improved MODIS AOT‐PM₁₀ regression model with synoptic meteorology classification