↓ Skip to main content

The short term burden of ambient fine particulate matter on chronic obstructive pulmonary disease in Ningbo, China

Overview of attention for article published in Environmental Health, June 2017
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
63 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 short term burden of ambient fine particulate matter on chronic obstructive pulmonary disease in Ningbo, China
Published in
Environmental Health, June 2017
DOI 10.1186/s12940-017-0253-1
Pubmed ID
Authors

Guoxing Li, Jing Huang, Guozhang Xu, Xiaochuan Pan, Xujun Qian, Jiaying Xu, Yan Zhao, Tao Zhang, Qichen Liu, Xinbiao Guo, Tianfeng He

Abstract

Numerous studies have found associations between ambient fine particulate matter (PM2.5) and increased mortality risk. However, little evidence is available on associations between PM2.5 and years of life lost (YLL). We aimed to estimate the YLL due to chronic obstructive pulmonary disease (COPD) mortality related to ambient PM2.5 exposure. A time-series study was conducted based on the data on air pollutants, meteorological conditions and 18,472 registered COPD deaths in Ningbo, China, 2011-2015. The effects of PM2.5 on YLL and daily death of COPD were estimated, after controlling long term trend, meteorological index and other confounders. The impact of PM2.5 on YLL due to COPD lasted for 5 days (lag 0-4). Per 10 μg/m(3) increase in PM2.5 was associated with 0.91 (95%CI: 0.16, 1.66) years increase in YLL. The excess YLL of COPD mortality were 8206 years, and 0.38 day per person in Ningbo from 2011 to 2015. The exposure-response curve of PM2.5 and YLL due to COPD showed a non-linear pattern, with relatively steep at low levels and flattened out at higher exposures.. Furthermore, the effects were significantly higher in the elderly than those in the younger. Our findings explored burden of PM2.5 on YLL due to COPD and highlight the importance and urgency of ambient PM2.5 pollution control and protection of the vulnerable populations.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 19%
Student > Master 11 17%
Student > Ph. D. Student 6 10%
Student > Doctoral Student 4 6%
Student > Bachelor 2 3%
Other 8 13%
Unknown 20 32%
Readers by discipline Count As %
Environmental Science 9 14%
Nursing and Health Professions 7 11%
Medicine and Dentistry 7 11%
Engineering 3 5%
Economics, Econometrics and Finance 2 3%
Other 14 22%
Unknown 21 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 06 June 2017.
All research outputs
#20,427,593
of 22,979,862 outputs
Outputs from Environmental Health
#1,351
of 1,500 outputs
Outputs of similar age
#276,002
of 317,259 outputs
Outputs of similar age from Environmental Health
#30
of 35 outputs
Altmetric has tracked 22,979,862 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,500 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 317,259 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.