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

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Klepeis, Neil E.; Bellettiere, John; Hughes, Suzanne C.; Nguyen, Benjamin; Berardi, Vincent; Liles, Sandy; Obayashi, Saori; Hofstetter, C. Richard; Blumberg, Elaine; Hovell, Melbourne F.;
(2017)
  • Publisher: Public Library of Science
  • Journal: PLoS ONE,volume 12,issue 5 (issn: 1932-6203, eissn: 1932-6203)
  • Publisher copyright policies & self-archiving
  • Related identifiers: doi: 10.1371/journal.pone.0177718, pmc: PMC5435241
  • Subject: Habits | Electronic Cigarettes | Regression Analysis | Nicotine Addiction | Marijuana | Engineering and Technology | Pollution | Nuclear Physics | Physical Sciences | Public and Occupational Health | Pharmacology | Environmental Engineering | Air Quality | Environmental Chemistry | Statistics (Mathematics) | Biology and Life Sciences | Computer and Information Sciences | Addiction | Infographics | Behavioral Pharmacology | Atmospheric Chemistry | Science | Recreational Drug Use | Statistical Methods | Research Article | Earth Sciences | Alpha Radiation | Mathematics | Substance-Related Disorders | Ecology and Environmental Sciences | Mathematical and Statistical Techniques | Atmospheric Science | Mental Health and Psychiatry | Graphs | Psychology | Physics | Data Visualization | Behavior | Smoking Habits | Chemistry | Research and Analysis Methods | Cannabis | Medicine | Q | R | Radiation | Social Sciences | Air Pollution | Medicine and Health Sciences | Linear Regression Analysis

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 ... View more
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