↓ Skip to main content

The association between fine particulate matter exposure during pregnancy and preterm birth: a meta-analysis

Overview of attention for article published in BMC Pregnancy and Childbirth, November 2015
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

policy
1 policy source
twitter
3 X users

Citations

dimensions_citation
109 Dimensions

Readers on

mendeley
145 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
The association between fine particulate matter exposure during pregnancy and preterm birth: a meta-analysis
Published in
BMC Pregnancy and Childbirth, November 2015
DOI 10.1186/s12884-015-0738-2
Pubmed ID
Authors

Xiaoli Sun, Xiping Luo, Chunmei Zhao, Rachel Wai Chung Ng, Chi Eung Danforn Lim, Bo Zhang, Tao Liu

Abstract

Although several previous studies have assessed the association of fine particulate matter (PM2.5) exposure during pregnancy with preterm birth, the results have been inconsistent and remain controversial. This meta-analysis aims to quantitatively summarize the association between maternal PM2.5 exposure and preterm birth and to further explore the sources of heterogeneity in findings on this association. We searched for all studies published before December 2014 on the association between PM2.5 exposure during pregnancy and preterm birth in the MEDLINE, PUBMED and Embase databases as well as the China Biological Medicine and Wanfang databases. A pooled OR for preterm birth in association with each 10 μg/m(3) increase in PM2.5 exposure was calculated by a random-effects model (for studies with significant heterogeneity) or a fixed-effects model (for studies without significant heterogeneity). A total of 18 studies were included in this analysis. The pooled OR for PM2.5 exposure (per 10 μg/m(3) increment) during the entire pregnancy on preterm birth was 1.13 (95 % CI = 1.03-1.24) in 13 studies with a significant heterogeneity (Q = 80.51, p < 0.001). The pooled ORs of PM2.5 exposure in the first, second and third trimester were 1.08 (95 % CI = 0.92-1.26), 1.09 (95 % CI = 0.82-1.44) and 1.08 (95 % CI = 0.99-1.17), respectively. The corresponding meta-estimates of PM2.5 effects in studies assessing PM2.5 exposure at individual, semi-individual and regional level were 1.11 (95 % CI = 0.89-1.37), 1.14 (95 % CI = 0.97-1.35) and 1.07 (95 % CI = 0.94-1.23). In addition, significant meta-estimates of PM2.5 exposures were found in retrospective studies (OR = 1.10, 95 % CI = 1.01-1.21), prospective studies (OR = 1.42, 95 % CI = 1.08-1.85), and studies conducted in the USA (OR = 1.16, 95 % CI = 1.05-1.29). Maternal PM2.5 exposure during pregnancy may increase the risk of preterm birth,but significant heterogeneity was found between studies. Exposure assessment methods, study designs and study settings might be important sources of heterogeneity, and should be taken into account in future meta-analyses.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
Unknown 144 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 18%
Researcher 17 12%
Student > Master 16 11%
Student > Bachelor 14 10%
Student > Doctoral Student 10 7%
Other 25 17%
Unknown 37 26%
Readers by discipline Count As %
Medicine and Dentistry 32 22%
Environmental Science 19 13%
Engineering 14 10%
Nursing and Health Professions 8 6%
Earth and Planetary Sciences 7 5%
Other 21 14%
Unknown 44 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 April 2020.
All research outputs
#5,424,222
of 22,833,393 outputs
Outputs from BMC Pregnancy and Childbirth
#1,358
of 4,191 outputs
Outputs of similar age
#82,811
of 386,431 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#20
of 89 outputs
Altmetric has tracked 22,833,393 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,191 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one has gotten more attention than average, scoring higher than 67% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 386,431 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.