Evidence map›Paper›PMID 36274187›Full record

Trial reportJournal of exposure science & environmental epidemiology2023

Using time-resolved monitor wearing data to study the effect of clean cooking interventions on personal air pollution exposures.

Carlos F Gould, Mohammed Nuhu Mujtaba, Qiang Yang, Ellen Boamah-Kaali, Ashlinn K Quinn, Grace Manu, Alison G Lee, Kenneth Ayuurebobi Ae-Ngibise, Daniel Carrión, Seyram Kaali and 4 more

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of exposure science & environmental epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 46% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Observational
  3. 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

14 authors at 7 institutions in 2 countries.

Carlos F GouldDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.ORCID http://orcid.org/0000-0002-7736-3905
Mohammed Nuhu MujtabaKintampo Health Research Centre, Research and Development Division, Ghana Health Service, Kintampo North Municipality, Bono East Region, Ghana.
Qiang YangLamont-Doherty Earth Observatory of Columbia University, Palisades, NY, USA.
Ellen Boamah-KaaliKintampo Health Research Centre, Research and Development Division, Ghana Health Service, Kintampo North Municipality, Bono East Region, Ghana.
Ashlinn K QuinnBerkeley Air Monitoring Group, Fort Collins, CO, USA.
Grace ManuKintampo Health Research Centre, Research and Development Division, Ghana Health Service, Kintampo North Municipality, Bono East Region, Ghana.
Alison G LeeDivision of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Kenneth Ayuurebobi Ae-NgibiseKintampo Health Research Centre, Research and Development Division, Ghana Health Service, Kintampo North Municipality, Bono East Region, Ghana.
Daniel CarriónDepartment of Environmental Health Sciences, Yale University School of Public Health, New Haven, CT, USA.
Seyram KaaliKintampo Health Research Centre, Research and Development Division, Ghana Health Service, Kintampo North Municipality, Bono East Region, Ghana.
Patrick L KinneyBoston University School of Public Health, Boston, MA, USA.
Darby W JackDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
Steven N Chillrud *Lamont-Doherty Earth Observatory of Columbia University, Palisades, NY, USA. chilli@ldeo.columbia.edu.
Kwaku Poku Asante *Kintampo Health Research Centre, Research and Development Division, Ghana Health Service, Kintampo North Municipality, Bono East Region, Ghana.
Kintampo Health Research Centre · GHColumbia University · USLamont-Doherty Earth Observatory · USBerkeley Air Monitoring Group (United States) · USBoston University · USIcahn School of Medicine at Mount Sinai · USYale University · US

Funding

True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
Research Training Program in Pediatric ExposomicsT32HD049311 · NICHD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KECIA Nicole CARROLL, Robert O Wright · 2007 to 2026
$7.4M
Child Lung Development Following a Cookstove Intervention: Evidence from GRAPHSR01ES026991 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Darby Jack, Alison G Lee · 2017 to 2026
$5.6M
Intervening to Improve Birth Weight and Infant Respiratory Health in Rural GhanaR01ES019547 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KINNEY, PATRICK LOTT · 2011 to 2016
$4.5M
Maternal trauma, circulating microRNA in extracellular vesicles, and programming of childhood respiratory outcomesR01MD013310 · NIMHD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI LEE, ALISON G · 2018 to 2022
$4.1M
Understanding adoption of clean cookstovesR01ES024489 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI JACK, DARBY · 2014 to 2018
$2.5M
Interdisciplinary Training in Climate and HealthT32ES023770 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHAMAN, JEFFREY L · 2014 to 2019
$1.5M
Prenatal PM2.5 and programming of respiratory outcomes: Placental biomarkers and effect modification by stressK23HL135349 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI LEE, ALISON G · 2017 to 2021
$884k
High Precision Robotic Weighing System in Support of New Exposure Health StudiesS10OD016219 · OD · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI CHILLRUD, STEVEN N. · 2013 to 2013
$250k
NHLBI NIH HHS K23 HL135349NICHD NIH HHS T32 HD049311NIEHS NIH HHS P30 ES009089NIEHS NIH HHS R01 ES019547NIEHS NIH HHS R01 ES024489NIEHS NIH HHS R01 ES026991NIEHS NIH HHS T32 ES023770NIH HHS S10 OD016219NIMHD NIH HHS R01 MD013310
6 · The paper itself

Abstract

backgroundPersonal monitoring can estimate individuals' exposures to environmental pollutants; however, accuracy depends on consistent monitor wearing, which is under evaluated.

objectiveTo study the association between device wearing and personal air pollution exposure.

methodsUsing personal device accelerometry data collected in the context of a randomized cooking intervention in Ghana with three study arms (control, improved biomass, and liquified petroleum gas (LPG) arms; N = 1414), we account for device wearing to infer parameters of PM

resultsDevice wearing was positively associated with exposure in the control and improved biomass arms, but weakly in the LPG arm. Inferred community-level air pollution was similar across study arms (~45 μg/m

conclusionsPersonal monitor wearing was positively associated with average air pollution exposure, emphasizing the importance of high device wearing during monitoring periods and directly assessing device wearing for each deployment. SIGNIFICANCE: We demonstrate that personal monitor wearing data can be used to refine exposure estimates and infer unobserved parameters related to the timing and source of environmental exposures. IMPACT STATEMENTS: In a cookstove trial among pregnant women, time-resolved personal air pollution device wearing data were used to refine exposure estimates and infer unobserved exposure parameters, including community-level air pollution, the direct contribution of cooking to personal exposure, and the effect of clean cooking interventions on personal exposure. For example, in the control arm, while average 48 h personal PM

Indexed as

Air PollutantsAir PollutionAir Pollution, IndoorPetroleumCookingEnvironmental ExposureFemaleHumansParticulate MatterPregnancyAir PollutantsParticulate MatterPetroleumClean cookingGhanaPersonal monitoringWearing compliance

Identifiers

PMID36274187
PMCPMC11815893
OpenAlexW4307113706

What OpenQuestion holds

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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.