Evidence map›Paper›PMID 24833615›Full record

ArticleEnvironmental health perspectives2014

Estimating the number of low-income americans exposed to household air pollution from burning solid fuels.

Derek K Rogalsky, Pauline Mendola, Tricia A Metts, William J Martin

Abstract read
In one paragraph

Article in Environmental health perspectives, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Trial
  2. Four-year community-wide PMAtmospheric environment (Oxford, England : 1994) · 2025
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  17. Indoor Air Pollution and Respiratory Health.Clinics in chest medicine · 2020
    Review
  18. Article
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  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Derek K RogalskyGeorgetown University School of Medicine, Georgetown University, Washington, DC, USA.
Pauline Mendola
Tricia A Metts
William J Martin

Funding

Air Quality and Reproductive HealthZIAHD008923 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI MENDOLA, PAULINE · 2012 to 2020
$3.2M
Intramural NIH HHS
6 · The paper itself

Abstract

backgroundExposure to household air pollution (HAP) from inefficient biomass and coal stoves kills nearly 4 million people every year worldwide. HAP is an environmental risk associated with poverty that affects an estimated 3 billion people mostly in low- and middle-income countries.

objectivesOur goal was to estimate the number of low-income Americans exposed to potentially health-damaging concentrations of HAP.

methodsWe mapped county-level data for the percentage of households using wood, coal, and/or coke as their primary heating fuel along with percent of the population below the federal poverty level. Using U.S. Census data and the likelihood of fugitive emissions as reported in the literature, we estimated the number of low-income Americans potentially exposed to HAP.

resultsSolid fuel is the primary heating source for > 2.5 million U.S. households, or 6.5 million people. The mapping exercise showed several rural areas, primarily in the northern and western regions, that have high levels of solid-fuel use and poverty. We then identified 117 counties with high co-incident poverty and solid-fuel use as high-priority counties for research into potential health risks from HAP. We estimate that between 500,000 and 600,000 low-income people in the United States are likely exposed to HAP from burning solid fuels within their homes.

conclusionHAP occurs within the United States and should be further investigated for adverse health risks, especially among those living in areas with rural poverty.

Indexed as

Energy-Generating ResourcesAir PollutionAir Pollution, IndoorHumansUnited States

Identifiers

PMID24833615
PMCPMC4123020

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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.