↓ Skip to main content

Lung function reductions associated with motor vehicle density in chronic obstructive pulmonary disease: a cross-sectional study

Overview of attention for article published in Respiratory Research, October 2016
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
26 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Readers on

mendeley
54 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
Lung function reductions associated with motor vehicle density in chronic obstructive pulmonary disease: a cross-sectional study
Published in
Respiratory Research, October 2016
DOI 10.1186/s12931-016-0451-3
Pubmed ID
Authors

Monika Nitschke, Sarah L. Appleton, Qiaoyu Li, Graeme R. Tucker, Pushan Shah, Peng Bi, Dino L. Pisaniello, Robert J. Adams

Abstract

Motor vehicle-related air pollution can potentially impair lung function. The effect of pollution in people with compromised pulmonary function such as in COPD has not been previously investigated. To examine the association of lung function with motor vehicle density in people with spirometrically determined COPD in a cross-sectional study. In 2004-06, The North West Adelaide Health Study (NWAHS), a biomedical cohort of adults assessed pre and post-bronchodilator spirometry (n = 3,103). Traffic density, obtained from the motor vehicle inventory maintained by the South Australian Environment Protection Authority, was expressed as the daily numbers of vehicles travelling within a 200 m diameter zone around participants' geocoded residences. In subjects with COPD (FEV1/FVC <0.7, n = 221, 7.1 %), increasing daily vehicle density was associated with statistically significant decreases in lung function parameters after adjustment for smoking and socio-economic variables. Mean (95 % CI) post-bronchodilator % predicted FEV1 was 81 % (76-87) in the low (≤7179/day) compared with 71 % (67-75) in the high (≥15,270/day) vehicle exposure group (p < 0.05). Linear regression analysis in all subjects with COPD showed significant decrements in post-bronchodilator FEV1/FVC ratio and % predicted FEV1 of 0.03 and 0.05 % respectively per daily increase in 1000 vehicles. In men with COPD (n = 150), the corresponding reductions were 0.03 and 0.06 %. Smaller, non-significant decrements were seen in females. No difference was seen in those without COPD. Vehicle traffic density was associated with significant reductions in lung function in people with COPD. Urban planning should consider the health impacts for those with pre-existing respiratory conditions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 26 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 15%
Researcher 7 13%
Student > Bachelor 6 11%
Student > Ph. D. Student 5 9%
Student > Postgraduate 4 7%
Other 8 15%
Unknown 16 30%
Readers by discipline Count As %
Medicine and Dentistry 14 26%
Environmental Science 5 9%
Nursing and Health Professions 4 7%
Engineering 4 7%
Biochemistry, Genetics and Molecular Biology 2 4%
Other 7 13%
Unknown 18 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 29 October 2023.
All research outputs
#2,238,565
of 25,373,627 outputs
Outputs from Respiratory Research
#219
of 3,062 outputs
Outputs of similar age
#38,275
of 320,942 outputs
Outputs of similar age from Respiratory Research
#6
of 54 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,062 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done particularly well, scoring higher than 92% 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 320,942 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 88% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.