Evidence map›Paper›PMID 25694820›Full record

ReviewJournal of thoracic disease2015

What can individuals do to reduce personal health risks from air pollution?

Robert Laumbach, Qingyu Meng, Howard Kipen

Registry-linked trialOpen access · greenAbstract readReview
In one paragraph

Review in Journal of thoracic disease, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04563052 (Measuring Knowledge and Behavior After an Educational Program on Air Pollution as a Health Risk Reduction Strategy), which is not on this map. Cited by 80 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed, 4 pooled it
8.3field-weighted citation impact, top 2% 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.

NCT04563052 nacompletednot on this mapstarted 2020, after this paper: background citation

Measuring Knowledge and Behavior After an Educational Program on Air Pollution as a Health Risk Reduction Strategy

TypeinterventionalSponsorVillanova UniversityRan2020 to 2021Enrolled40ConditionsAir Pollution, Risk Reduction BehaviorsArmsEducational Program on Air Pollution as a Health Risk Reduction Strategy
3 · Its place in the literature

Who cites it

80 citing papers in PubMed, 4 syntheses or guidelines pooled it, 213 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Diabetes mortality burden attributable to short-term effect of PMEnvironmental science and pollution research international · 2020
    Pooled it
  4. Pooled it
  5. Review
  6. Article
  7. Article
  8. Impact of PMJournal of environmental health science & engineering · 2026
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Wildland Fire-Related Smoke PMJournal of the American Heart Association · 2025
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review

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

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 1 institution in 1 country.

Robert LaumbachEnvironmental and Occupational Health Sciences Institute, Rutgers University, 170 Frelinghuysen Rd., Piscataway, NJ 08854, USA.
Qingyu MengEnvironmental and Occupational Health Sciences Institute, Rutgers University, 170 Frelinghuysen Rd., Piscataway, NJ 08854, USA.
Howard KipenEnvironmental and Occupational Health Sciences Institute, Rutgers University, 170 Frelinghuysen Rd., Piscataway, NJ 08854, USA.
Rutgers, The State University of New Jersey · US

Funding

Translational Research Support CoreP30ES005022 · NIEHS · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI ROBERT John LAUMBACH · 1988 to 2026
$47.4M
NIEHS NIH HHS P30 ES005022
6 · The paper itself

Abstract

In many areas of the world, concentrations of ambient air pollutants exceed levels associated with increased risk of acute and chronic health problems. While effective policies to reduce emissions at their sources are clearly preferable, some evidence supports the effectiveness of individual actions to reduce exposure and health risks. Personal exposure to ambient air pollution can be reduced on high air pollution days by staying indoors, reducing outdoor air infiltration to indoors, cleaning indoor air with air filters, and limiting physical exertion, especially outdoors and near air pollution sources. Limited evidence suggests that the use of respirators may be effective in some circumstances. Awareness of air pollution levels is facilitated by a growing number of public air quality alert systems. Avoiding exposure to air pollutants is especially important for susceptible individuals with chronic cardiovascular or pulmonary disease, children, and the elderly. Research on mechanisms underlying the adverse health effects of air pollution have suggested potential pharmaceutical or chemopreventive interventions, such as antioxidant or antithrombotic agents, but in the absence of data on health outcomes, no sound recommendations can be made for primary prevention. Health care providers and their patients should carefully consider individual circumstances related to outdoor and indoor air pollutant exposure levels and susceptibility to those air pollutants when deciding on a course of action to reduce personal exposure and health risks from ambient air pollutants. Careful consideration is especially warranted when interventions may have unintended negative consequences, such as when efforts to avoid exposure to air pollutants lead to reduced physical activity or when there is evidence that dietary supplements, such as antioxidants, have potential adverse health effects. These potential complications of partially effective personal interventions to reduce exposure or risk highlight the primary importance of reducing emissions of air pollutants at their sources.

Indexed as

Air pollutionbehaviorcardiovascular diseasepreventionpulmonary disease

Identifiers

PMID25694820
PMCPMC4311076
OpenAlexW2117642375

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.