Evidence map›Paper›PMID 27324566›Full record

ArticleEnvironment international2016

Exposure to coarse particulate matter during gestation and birth weight in the U.S.

Keita Ebisu, Jesse D Berman, Michelle L Bell

Abstract read
In one paragraph

Article in Environment international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Interaction of PMFrontiers in endocrinology · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Impact of Wildfire Smoke on Adverse Pregnancy Outcomes in Colorado, 2007-2015.International journal of environmental research and public health · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Keita EbisuYale University, School of Forestry and Environmental Studies, 195 Prospect Street, New Haven, CT 06511, USA. Electronic address: keita.ebisu@aya.yale.edu.
Jesse D BermanYale University, School of Forestry and Environmental Studies, 195 Prospect Street, New Haven, CT 06511, USA. Electronic address: jesse.berman@yale.edu.
Michelle L BellYale University, School of Forestry and Environmental Studies, 195 Prospect Street, New Haven, CT 06511, USA. Electronic address: michelle.bell@yale.edu.

Funding

Effects of Fine Particle Composition on Birth OutcomesR01ES019587 · NIEHS · YALE UNIVERSITY · PI BELL, MICHELLE L · 2011 to 2015
$2.6M
Statistical Methods for Complex Enivronmental Health DataR01ES019560 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI PENG, ROGER · 2011 to 2015
$1.8M
NIEHS NIH HHS R01 ES019560NIEHS NIH HHS R01 ES019587
6 · The paper itself

Abstract

Few studies have explored the relationship between coarse particles (PM10-2.5) and adverse birth outcomes. We examined associations between gestational exposure of PM10-2.5 and birth weight. U.S. birth certificates data (1999-2007) were acquired for 8,017,865 births. Gestational and trimester exposures of PM10-2.5 were estimated using co-located PM10 and PM2.5 monitors ≤35km from the population-weighted centroid of mothers' residential counties. A linear regression model was applied, adjusted by potential confounders. As sensitivity analyses, we explored alternative PM10-2.5 estimations, adjustment for PM2.5, and stratification by regions. Gestational exposure to PM10-2.5 was associated with 6.6g (95% Confidence Interval: 5.9, 7.2) lower birth weight per interquartile range increase (7.8μg/m(3)) in PM10-2.5 exposures. All three trimesters showed associations. Under different exposure methods for PM10-2.5, associations remained consistent but with different magnitudes. Results were robust after adjusting for PM2.5, and regional analyses showed associations in all four regions with larger estimates in the South. Our results suggest that PM10-2.5 is associated with birth weight in addition to PM2.5. Regional heterogeneity may reflect differences in population, measurement error, region-specific emission pattern, or different chemical composition within PM10-2.5. Most countries do not set health-based standards for PM10-2.5, but our findings indicate potentially important health effects of PM10-2.5.

Indexed as

Maternal ExposureAdolescentAdultBirth WeightEnvironmental PollutantsFemaleHumansParticle SizeParticulate MatterPregnancyUnited StatesYoung AdultEnvironmental PollutantsParticulate MatterAir pollutionBirth weightCoarse PMParticulate matter

Identifiers

PMID27324566
PMCPMC4980266

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.