Evidence map›Paper›PMID 15811822›Full record

ArticleEnvironmental health perspectives2005

Pulmonary effects of indoor- and outdoor-generated particles in children with asthma.

Jane Q Koenig, Therese F Mar, Ryan W Allen, Karen Jansen, Thomas Lumley, Jeffrey H Sullivan, Carol A Trenga, Timothy Larson, L-Jane S Liu

Open access · diamondAbstract readComparative Study
In one paragraph

Article in Environmental health perspectives, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 1 pooled it
10.5field-weighted citation impact, top 1% 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

74 citing papers in PubMed, 1 synthesis or guideline pooled it, 214 citations in OpenAlex.

  1. Pooled it
  2. Patterns and predictors of air purifier adherence in children with asthma living in low-income, urban households.The Journal of asthma : official journal of the Association for the Care of Asthma · 2022
    Trial
  3. Trial
  4. Article
  5. Observational
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Particulate Matter and Cardiovascular Risk in Adults with Chronic Obstructive Pulmonary Disease.American journal of respiratory and critical care medicine · 2021
    Article
  13. Article
  14. Article
  15. Bad Air Can Also Kill: Residential Indoor Air Quality and Pollutant Exposure Risk during the COVID-19 Crisis.International journal of environmental research and public health · 2020
    Article
  16. Article
  17. Article
  18. Article
  19. Short-term effect of PMEnvironmental science and pollution research international · 2019
    Article
  20. Article

14 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 2 countries.

Jane Q KoenigDepartment of Environmental Health and Occupational Sciences, University of Washington, Seattle, Washington 98195, USA. jkoenig@u.washington.edu
Therese F Mar
Ryan W Allen
Karen Jansen
Thomas Lumley
Jeffrey H Sullivan
Carol A Trenga
Timothy Larson
L-Jane S Liu
University of Occupational and Environmental Health Japan · JPUniversity of Washington · US

Funding

XENOBIOTIC BIOTRANSFORMATION AND DISPOSITIONP30ES007033 · NIEHS · UNIVERSITY OF WASHINGTON · PI Sheela Sathyanarayana · 1995 to 2026
$42.5M
NIEHS NIH HHS P30 ES07033
6 · The paper itself

Abstract

Most particulate matter (PM) health effects studies use outdoor (ambient) PM as a surrogate for personal exposure. However, people spend most of their time indoors exposed to a combination of indoor-generated particles and ambient particles that have infiltrated. Thus, it is important to investigate the differential health effects of indoor- and ambient-generated particles. We combined our recently adapted recursive model and a predictive model for estimating infiltration efficiency to separate personal exposure (E) to PM2.5 (PM with aerodynamic diameter < or = 2.5 microm) into its indoor-generated (Eig) and ambient-generated (Eag) components for 19 children with asthma. We then compared Eig and Eag to changes in exhaled nitric oxide (eNO), a marker of airway inflammation. Based on the recursive model with a sample size of eight children, Eag was marginally associated with increases in eNO [5.6 ppb per 10-microg/m3 increase in PM2.5; 95% confidence interval (CI), -0.6 to 11.9; p = 0.08]. Eig was not associated with eNO (-0.19 ppb change per 10 microg/m3). Our predictive model allowed us to estimate Eag and Eig for all 19 children. For those combined estimates, only Eag was significantly associated with an increase in eNO (Eag: 5.0 ppb per 10-microg/m3 increase in PM2.5; 95% CI, 0.3 to 9.7; p = 0.04; Eig: 3.3 ppb per 10-microg/m3 increase in PM2.5; 95% CI, -1.1 to 7.7; p = 0.15). Effects were seen only in children who were not using corticosteroid therapy. We conclude that the ambient-generated component of PM2.5 exposure is consistently associated with increases in eNO and the indoor-generated component is less strongly associated with eNO.

Indexed as

Inhalation ExposureModels, TheoreticalAdolescentAdrenal Cortex HormonesAir PollutantsAir Pollution, IndoorAsthmaChildCohort StudiesDustHousingHumansNitric OxideParticle SizeSpirometryWashingtonAdrenal Cortex HormonesAir PollutantsDustNitric Oxide

Identifiers

PMID15811822
PMCPMC1278493
OpenAlexW2136441871

What OpenQuestion holds

Textmetadata
LicenceCC0
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.