Evidence map›Paper›PMID 27023589›Full record

ArticleInternational journal of environmental research and public health2016

Association between Atmospheric Fine Particulate Matter and Hospital Admissions for Chronic Obstructive Pulmonary Disease in Southwestern Taiwan: A Population-Based Study.

Su-Lun Hwang, Su-Er Guo, Miao-Ching Chi, Chiang-Ting Chou, Yu-Ching Lin, Chieh-Mo Lin, Yen-Li Chou

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–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

16 citing papers in PubMed.

  1. Article
  2. The impact of the synergistic effect of SOFrontiers in public health · 2023
    Article
  3. Article
  4. Design of a Spark Big Data Framework for PMInternational journal of environmental research and public health · 2021
    Article
  5. Assessing PMEnvironmental science and pollution research international · 2021
    Article
  6. Observational
  7. Article
  8. Article
  9. Article
  10. Seasonal variation and source apportionment of PMEnvironmental science and pollution research international · 2018
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
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

7 authors.

Su-Lun HwangDepartment of Nursing, Chang Gung University of Science and Technology, Chiayi Campus, Chiayi County 613, Taiwan. slhuang@mail.cgust.edu.tw.
Su-Er GuoDepartment of Nursing, Chang Gung University of Science and Technology, Chiayi Campus, Chiayi County 613, Taiwan. seguo@mail.cgust.edu.tw.
Miao-Ching ChiChronic Diseases and Health Promotion Research Center, Chang Gung University of Science and Technology, Chiayi County 613, Taiwan. mcchi@mail.cgust.edu.tw.
Chiang-Ting ChouDepartment of Nursing, Chang Gung University of Science and Technology, Chiayi Campus, Chiayi County 613, Taiwan. ctchou@mail.cgust.edu.tw.
Yu-Ching LinDepartment of Respiratory Care, Chang Gung University of Science and Technology, Chiayi County 613, Taiwan. lin0927@cgmh.org.tw.
Chieh-Mo LinDepartment of Nursing, Chang Gung University of Science and Technology, Chiayi Campus, Chiayi County 613, Taiwan. f124510714@cgmh.org.tw.
Yen-Li ChouDivision of Pulmonary and Critical Care Medicine, Chang Gung Memorial Hospital, Chiayi County 613, Taiwan. mr2554@cgmh.org.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis paper reports on the findings of a population-based study to evaluate the relationship between atmospheric fine particulate matter (PM2.5) levels and hospital admissions for chronic obstructive pulmonary disease (COPD) in southwestern Taiwan over a three-year period, 2008-2010.

methodsData on hospital admissions for COPD and PM2.5 levels were obtained from the National Health Insurance Research database (NHIRD) and the Environmental Protection Administration from 2008 to 2010, respectively. The lag structure of relative risks (RRs) of hospital admissions for COPD was estimated using a Poisson regression model.

resultsDuring the study period, the overall average hospitalization rate of COPD and mean 24-h average level of PM2.5 was 0.18% and 39.37 μg/m³, respectively. There were seasonal variations in PM2.5 concentrations in southwestern Taiwan, with higher PM2.5 concentrations in both spring (average: 48.54 μg/m³) and winter (49.96 μg/m³) than in summer (25.89 μg/m³) and autumn (33.37 μg/m³). Increased COPD admissions were significantly associated with PM2.5 in both spring (February-April) and winter (October-January), with the relative risks (RRs) for every 10 μg/m³ increase in PM2.5 being 1.25 (95% CI = 1.22-1.27) and 1.24 (95% CI = 1.23-1.26), respectively, at a lag zero days (i.e., no lag days). Lag effects on COPD admissions were observed for PM2.5, with the elevated RRs beginning at lag zero days and larger RRs estimates tending to occur at longer lags (up to six days, i.e., lag 0-5 days).

conclusionsIn general, findings reveal an association between atmospheric fine particulate matter (PM2.5) and hospital admissions for COPD in southwestern Taiwan, especially during both spring and winter seasons.

Indexed as

HospitalizationAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedParticle SizeParticulate MatterPulmonary Disease, Chronic ObstructiveSeasonsTaiwanParticulate Matterchronic obstructive pulmonary diseasefine particulate matterhospital admissions

Identifiers

PMID27023589
PMCPMC4847028

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Registered trials

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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.