Evidence map›Paper›PMID 28545099›Full record

ArticlePloS one2017

Fine particles in homes of predominantly low-income families with children and smokers: Key physical and behavioral determinants to inform indoor-air-quality interventions.

Neil E Klepeis, John Bellettiere, Suzanne C Hughes, Benjamin Nguyen, Vincent Berardi, Sandy Liles, Saori Obayashi, C Richard Hofstetter, Elaine Blumberg, Melbourne F Hovell

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Indoor Exposure to Selected Air Pollutants in the Home Environment: A Systematic Review.International journal of environmental research and public health · 2020
    Pooled it
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  15. Indoor cannabis smoke and children's health.Preventive medicine reports · 2019
    Article
  16. Spatial-Temporal Analysis of PMSensors (Basel, Switzerland) · 2018
    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

10 authors.

Neil E KlepeisCenter for Behavioral Epidemiology and Community Health (C-BEACH), San Diego State University Research Foundation (SDSURF), Graduate School of Public Health, San Diego State University, San Diego, California, United States of America.ORCID http://orcid.org/0000-0002-6934-3242
John BellettiereCenter for Behavioral Epidemiology and Community Health (C-BEACH), San Diego State University Research Foundation (SDSURF), Graduate School of Public Health, San Diego State University, San Diego, California, United States of America.
Suzanne C HughesCenter for Behavioral Epidemiology and Community Health (C-BEACH), San Diego State University Research Foundation (SDSURF), Graduate School of Public Health, San Diego State University, San Diego, California, United States of America.
Benjamin NguyenCenter for Behavioral Epidemiology and Community Health (C-BEACH), San Diego State University Research Foundation (SDSURF), Graduate School of Public Health, San Diego State University, San Diego, California, United States of America.
Vincent BerardiCenter for Behavioral Epidemiology and Community Health (C-BEACH), San Diego State University Research Foundation (SDSURF), Graduate School of Public Health, San Diego State University, San Diego, California, United States of America.
Sandy LilesCenter for Behavioral Epidemiology and Community Health (C-BEACH), San Diego State University Research Foundation (SDSURF), Graduate School of Public Health, San Diego State University, San Diego, California, United States of America.
Saori ObayashiCenter for Behavioral Epidemiology and Community Health (C-BEACH), San Diego State University Research Foundation (SDSURF), Graduate School of Public Health, San Diego State University, San Diego, California, United States of America.
C Richard HofstetterCenter for Behavioral Epidemiology and Community Health (C-BEACH), San Diego State University Research Foundation (SDSURF), Graduate School of Public Health, San Diego State University, San Diego, California, United States of America.
Elaine BlumbergCenter for Behavioral Epidemiology and Community Health (C-BEACH), San Diego State University Research Foundation (SDSURF), Graduate School of Public Health, San Diego State University, San Diego, California, United States of America.
Melbourne F HovellCenter for Behavioral Epidemiology and Community Health (C-BEACH), San Diego State University Research Foundation (SDSURF), Graduate School of Public Health, San Diego State University, San Diego, California, United States of America.

Funding

Innovation for Smoke-Free Homes: Real-Time FeedbackR01HL103684 · NHLBI · SAN DIEGO STATE UNIVERSITY · PI HOVELL, MELBOURNE F · 2011 to 2015
$5.4M
NHLBI NIH HHS R01 HL103684
6 · The paper itself

Abstract

Children are at risk for adverse health outcomes from occupant-controllable indoor airborne contaminants in their homes. Data are needed to design residential interventions for reducing low-income children's pollutant exposure. Using customized air quality monitors, we continuously measured fine particle counts (0.5 to 2.5 microns) over a week in living areas of predominantly low-income households in San Diego, California, with at least one child (under age 14) and at least one cigarette smoker. We performed retrospective interviews on home characteristics, and particle source and ventilation activities occurring during the week of monitoring. We explored the relationship between weekly mean particle counts and interview responses using graphical visualization and multivariable linear regression (base sample n = 262; complete cases n = 193). We found associations of higher weekly mean particle counts with reports of indoor smoking of cigarettes or marijuana, as well as with frying food, using candles or incense, and house cleaning. Lower particle levels were associated with larger homes. We did not observe an association between lower mean particle counts and reports of opening windows, using kitchen exhaust fans, or other ventilation activities. Our findings about sources of fine airborne particles and their mitigation can inform future studies that investigate more effective feedback on residential indoor-air-quality and better strategies for reducing occupant exposures.

Indexed as

Environmental MonitoringAdolescentAdultAir Pollution, IndoorBehaviorChildChild, PreschoolExerciseFemaleHumansIncomeInfantInfant, NewbornInterviews as TopicLinear ModelsMaleParticulate Matter

Identifiers

PMID28545099
PMCPMC5435241

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.