Evidence map›Paper›PMID 25115710›Full record

ArticleEnvironmental health : a global access science source2014

Hourly differences in air pollution and risk of respiratory disease in the elderly: a time-stratified case-crossover study.

Takashi Yorifuji, Etsuji Suzuki, Saori Kashima

Open access · goldAbstract read
In one paragraph

Article in Environmental health : a global access science source, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 10% of its field
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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 48 citations in OpenAlex.

  1. Impact of air quality guidelines on COPD sufferers.International journal of chronic obstructive pulmonary disease · 2016
    Pooled it
  2. Major air pollutants and risk of COPD exacerbations: a systematic review and meta-analysis.International journal of chronic obstructive pulmonary disease · 2016
    Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Environmental and Endogenous Acids Can Trigger Allergic-Type Airway Reactions.International journal of environmental research and public health · 2020
    Review
  8. Association between ambient PMThe American journal of emergency medicine · 2019
    Observational
  9. Fine Particulate Matter and Respiratory Healthcare Encounters among Survivors of Childhood Cancers.International journal of environmental research and public health · 2019
    Article
  10. Article
  11. Association between Air Pollution and Hemoptysis.Canadian respiratory journal · 2016
    Observational
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 at 2 institutions in 1 country.

Takashi YorifujiDepartment of Human Ecology, Graduate School of Environmental and Life Science, Okayama University, 3-1-1 Tsushima-naka, Kita-ku, Okayama 700-8530, Japan. yorichan@md.okayama-u.ac.jp.
Etsuji Suzuki
Saori Kashima
Okayama University · JPHiroshima University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpidemiological studies have shown adverse effects of short-term exposure to air pollution on respiratory disease outcomes; however, few studies examined this association on an hourly time scale. We evaluated the associations between hourly changes in air pollution and the risk of respiratory disease in the elderly, using the time of the emergency call as the disease onset for each case.

methodsWe used a time-stratified case-crossover design. Study participants were 6,925 residents of the city of Okayama, Japan, aged 65 or above who were taken to hospital emergency rooms between January 2006 and December 2010 for onset of respiratory disease. We calculated city-representative hourly average concentrations of air pollutants from several monitoring stations. By using conditional logistic regression models, we estimated odds ratios per interquartile-range increase in each pollutant by exposure period prior to emergency call, adjusting for hourly ambient temperature, hourly relative humidity, and weekly numbers of reported influenza cases aged ≥60.

resultsSuspended particulate matter (SPM) exposure 24 to <72 hours prior to the onset and ozone exposure 48 to <96 hours prior to the onset were associated with the increased risk of respiratory disease. For example, following one interquartile-range increase, odds ratios were 1.05 (95% confidence interval: 1.01, 1.09) for SPM exposure 24 to <48 hours prior to the onset and 1.13 (95% confidence interval: 1.04, 1.23) for ozone exposure 72 to <96 hours prior to the onset. Sulfur dioxide (SO2) exposure 0 to <24 hours prior to onset was associated with the increased risk of pneumonia and influenza: odds ratio was 1.07 per one interquartile-range increase (95% confidence interval: 1.00, 1.14). Elevated risk for pneumonia and influenza of SO2 was observed at shorter lags (i.e., 8-18 hours) than the elevated risks for respiratory disease of SPM or ozone. Overall, the effect estimates for chronic obstructive pulmonary disease and allied conditions were equivocal.

conclusionsThis study provides further evidence that hourly changes in air pollution exposure increase the risks of respiratory disease, and that SO2 may be related with more immediate onset of the disease than other pollutants.

Indexed as

Environmental MonitoringHospitalizationAgedAged, 80 and overAir PollutantsCitiesCross-Over StudiesEmergency Service, HospitalEnvironmental ExposureFemaleHumansJapanLogistic ModelsMaleOzoneParticulate MatterAir PollutantsOzoneParticulate Matter

Identifiers

PMID25115710
PMCPMC4237832
OpenAlexW2149303286

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.