Evidence map›Paper›PMID 27389398›Full record

ArticlePloS one2016

Estimating Indoor PM2.5 and CO Concentrations in Households in Southern Nepal: The Nepal Cookstove Intervention Trials.

Chen Chen, Scott Zeger, Patrick Breysse, Joanne Katz, William Checkley, Frank C Curriero, James M Tielsch

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

25 citing papers in PubMed, 48 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Sex and gender differences during the lung lifespan: unveiling a pivotal impact.European respiratory review : an official journal of the European Respiratory Society · 2025
    Review
  5. Article
  6. Kitchen Characteristics and Practices Associated with Increased PMInternational journal of environmental research and public health · 2023
    Article
  7. Evaluation of indoor PMJournal of exposure science & environmental epidemiology · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Proinflammatory Effects inAnnals of the American Thoracic Society · 2020
    Article
  17. Article
  18. Article
  19. Article
  20. Article
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 at 3 institutions in 1 country.

Chen ChenDepartment of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Scott ZegerDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Patrick BreysseDepartment of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Joanne KatzDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
William CheckleyDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Frank C CurrieroDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
James M TielschDepartment of Global Health, Milken Institute School of Public Health, George Washington University, Washington, DC, United States of America.
Johns Hopkins University · USJohns Hopkins Medicine · USMilken Institute · US

Funding

Cookstove Replacement for Prevention of ARI and Low Birthweight in NepalR01ES015558 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI TIELSCH, JAMES M · 2008 to 2012
$4.6M
NIEHS NIH HHS R01 ES015558
6 · The paper itself

Abstract

High concentrations of household air pollution (HAP) due to biomass fuel usage with unvented, insufficient combustion devices are thought to be an important health risk factor in South Asia population. To better characterize the indoor concentrations of particulate matter (PM2.5) and carbon monoxide (CO), and to understand their impact on health in rural southern Nepal, this study analyzed daily monitoring data collected with DataRAM pDR-1000 and LASCAR CO data logger in 2980 households using traditional biomass cookstove indoor through the Nepal Cookstove Intervention Trial-Phase I between March 2010 and October 2011. Daily average PM2.5 and CO concentrations collected in area near stove were 1,376 (95% CI, 1,331-1,423) μg/m3 and 10.9 (10.5-11.3) parts per million (ppm) among households with traditional cookstoves. The 95th percentile, hours above 100μg/m3 for PM2.5 or 6ppm for CO, and hours above 1000μg/m3 for PM2.5 or 9ppm for CO were also reported. An algorithm was developed to differentiate stove-influenced (SI) periods from non-stove-influenced (non-SI) periods in monitoring data. Average stove-influenced concentrations were 3,469 (3,350-3,588) μg/m3 for PM2.5 and 21.8 (21.1-22.6) ppm for CO. Dry season significantly increased PM2.5 concentration in all metrics; wood was the cleanest fuel for PM2.5 and CO, while adding dung into the fuel increased concentrations of both pollutants. For studies in rural southern Nepal, CO concentration is not a viable surrogate for PM2.5 concentrations based on the low correlation between these measures. In sum, this study filled a gap in knowledge on HAP in rural Nepal using traditional cookstoves and revealed very high concentrations in these households.

Indexed as

Air PollutionAir Pollution, IndoorCarbon MonoxideCookingEnvironmental MonitoringFamily CharacteristicsHousehold ArticlesHousehold ProductsNepalParticulate MatterCarbon MonoxideParticulate Matter

Identifiers

PMID27389398
PMCPMC4936723
OpenAlexW2471753567

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.