Literature DB >> 12842784

Particle concentrations in inner-city homes of children with asthma: the effect of smoking, cooking, and outdoor pollution.

Lance A Wallace1, Herman Mitchell, George T O'Connor, Lucas Neas, Morton Lippmann, Meyer Kattan, Jane Koenig, James W Stout, Ben J Vaughn, Dennis Wallace, Michelle Walter, Ken Adams, Lee-Jane Sally Liu.   

Abstract

Inner-city children have high rates of asthma. Exposures to particles, including allergens, may cause or exacerbate asthma symptoms. As part of an epidemiologic study of inner-city children with asthma, continuous (10-min average) measurements of particle concentrations were made for 2-week periods in 294 homes drawn from seven cities. Measurements were made using an optical scattering device that is most sensitive to fine particles. The concentrations recorded by these devices were corrected to agree with colocated outdoor gravimetric PM2.5 monitors. Indoor concentrations in the homes averaged 27.7 (standard deviation = 35.9) micro g/m3, compared with concurrent outdoor concentrations of 13.6 (7.5) micro g/m3. A multivariate model indicated that outdoor particles penetrated indoors with an efficiency of 0.48 and were therefore responsible for only 25% of the mean indoor concentration. The major indoor source was smoking, which elevated indoor concentrations by 37 micro g/m3 in the 101 homes with smokers. Other significant sources included frying, smoky cooking events, use of incense, and apartment housing, although the increases due to these events ranged only from 3 to 6 micro g/m3. The 10-min averaging time allowed calculation of an average diurnal variation, showing large increases in the evening due to smoking and smaller increases at meal times due to cooking. Most of the observed variance in indoor concentrations was day to day, with roughly similar contributions to the variance from visit to visit and home to home within a city and only a small contribution made by variance among cities. The small variation among cities and the similarity across cities of the observed indoor air particle distributions suggest that sources of indoor concentrations do not vary considerably from one city to the next, and thus that simple models can predict indoor air concentrations in cities having only outdoor measurements.

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Year:  2003        PMID: 12842784      PMCID: PMC1241585          DOI: 10.1289/ehp.6135

Source DB:  PubMed          Journal:  Environ Health Perspect        ISSN: 0091-6765            Impact factor:   9.031


  27 in total

1.  Fine particles are more strongly associated than coarse particles with acute respiratory health effects in schoolchildren.

Authors:  J Schwartz; L M Neas
Journal:  Epidemiology       Date:  2000-01       Impact factor: 4.822

2.  Assessing the relationship between personal particulate and gaseous exposures of senior citizens living in Baltimore, MD.

Authors:  J A Sarnat; P Koutrakis; H H Suh
Journal:  J Air Waste Manag Assoc       Date:  2000-07       Impact factor: 2.235

3.  Predicting particulate (PM10) personal exposure distributions using a random component superposition statistical model.

Authors:  W Ott; L Wallace; D Mage
Journal:  J Air Waste Manag Assoc       Date:  2000-08       Impact factor: 2.235

4.  Use of a continuous nephelometer to measure personal exposure to particles during the U.S. Environmental Protection Agency Baltimore and Fresno Panel studies.

Authors:  C Howard-Reed; A W Rea; M J Zufall; J M Burke; R W Williams; J C Suggs; L S Sheldon; D Walsh; R Kwok
Journal:  J Air Waste Manag Assoc       Date:  2000-07       Impact factor: 2.235

5.  Personal sampling of particles in adults: relation among personal, indoor, and outdoor air concentrations.

Authors:  N A Janssen; G Hoek; B Brunekreef; H Harssema; I Mensink; A Zuidhof
Journal:  Am J Epidemiol       Date:  1998-03-15       Impact factor: 4.897

6.  Personal exposure to airborne particles and metals: results from the Particle TEAM study in Riverside, California.

Authors:  H Ozkaynak; J Xue; J Spengler; L Wallace; E Pellizzari; P Jenkins
Journal:  J Expo Anal Environ Epidemiol       Date:  1996 Jan-Mar

7.  Childhood exposure to PM10: relation between personal, classroom, and outdoor concentrations.

Authors:  N A Janssen; G Hoek; H Harssema; B Brunekreef
Journal:  Occup Environ Med       Date:  1997-12       Impact factor: 4.402

8.  Airborne particles are a risk factor for hospital admissions for heart and lung disease.

Authors:  A Zanobetti; J Schwartz; D W Dockery
Journal:  Environ Health Perspect       Date:  2000-11       Impact factor: 9.031

9.  An association between fine particles and asthma emergency department visits for children in Seattle.

Authors:  G Norris; S N YoungPong; J Q Koenig; T V Larson; L Sheppard; J W Stout
Journal:  Environ Health Perspect       Date:  1999-06       Impact factor: 9.031

Review 10.  Epidemiology of fine particulate air pollution and human health: biologic mechanisms and who's at risk?

Authors:  C A Pope
Journal:  Environ Health Perspect       Date:  2000-08       Impact factor: 9.031

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  71 in total

Review 1.  Indoor air pollution and asthma in children.

Authors:  Patrick N Breysse; Gregory B Diette; Elizabeth C Matsui; Arlene M Butz; Nadia N Hansel; Meredith C McCormack
Journal:  Proc Am Thorac Soc       Date:  2010-05

2.  Contribution of solid fuel, gas combustion, or tobacco smoke to indoor air pollutant concentrations in Irish and Scottish homes.

Authors:  S Semple; C Garden; M Coggins; K S Galea; P Whelan; H Cowie; A Sánchez-Jiménez; P S Thorne; J F Hurley; J G Ayres
Journal:  Indoor Air       Date:  2011-11-09       Impact factor: 5.770

3.  Effects of socioeconomic factors and human activities on children's PM(10) exposure in inner-city households in Korea.

Authors:  Hyaejeong Byun; Hyunjoo Bae; Dongjin Kim; Hosung Shin; Chungsik Yoon
Journal:  Int Arch Occup Environ Health       Date:  2010-03-26       Impact factor: 3.015

4.  Multiple urban and asthma-related risks and their association with asthma morbidity in children.

Authors:  Daphne Koinis-Mitchell; Elizabeth L McQuaid; Ronald Seifer; Sheryl J Kopel; Cynthia Esteban; Glorisa Canino; Cynthia Garcia-Coll; Robert Klein; Gregory K Fritz
Journal:  J Pediatr Psychol       Date:  2007-01-11

5.  Spatial/temporal variations of elemental carbon, organic carbon, and trace elements in PM10 and the impact of land-use patterns on community air pollution in Paterson, NJ.

Authors:  Chang Ho Yu; Zhi-Hua Fan; Qingyu Meng; Xianlei Zhu; Leo Korn; Linda J Bonanno
Journal:  J Air Waste Manag Assoc       Date:  2011-06       Impact factor: 2.235

6.  Indoor environmental differences between inner city and suburban homes of children with asthma.

Authors:  Elinor Simons; Jean Curtin-Brosnan; Timothy Buckley; Patrick Breysse; Peyton A Eggleston
Journal:  J Urban Health       Date:  2007-07       Impact factor: 3.671

7.  Levels and risks of particulate-bound PAHs in indoor air influenced by tobacco smoke: a field measurement.

Authors:  Klara Slezakova; Dionísia Castro; Cristina Delerue-Matos; Simone Morais; Maria do Carmo Pereira
Journal:  Environ Sci Pollut Res Int       Date:  2013-12-12       Impact factor: 4.223

8.  Sources of indoor air pollution in New York City residences of asthmatic children.

Authors:  Rima Habre; Brent Coull; Erin Moshier; James Godbold; Avi Grunin; Amit Nath; William Castro; Neil Schachter; Annette Rohr; Meyer Kattan; John Spengler; Petros Koutrakis
Journal:  J Expo Sci Environ Epidemiol       Date:  2013-10-30       Impact factor: 5.563

9.  Indoor and outdoor particulate matter and endotoxin concentrations in an intensely agricultural county.

Authors:  Brian T Pavilonis; T Renee Anthony; Patrick T O'Shaughnessy; Michael J Humann; James A Merchant; Genna Moore; Peter S Thorne; Clifford P Weisel; Wayne T Sanderson
Journal:  J Expo Sci Environ Epidemiol       Date:  2013-01-16       Impact factor: 5.563

10.  Improved exposure characterization with robotic (PIPER) sampling and association with children's respiratory symptoms, asthma and eczema.

Authors:  Maya Ramagopal; Zuocheng Wang; Kathleen Black; Marta Hernandez; Adam A Stambler; Osiloke H Emoekpere; Gediminas Mainelis; Stuart L Shalat
Journal:  J Expo Sci Environ Epidemiol       Date:  2014-05-07       Impact factor: 5.563

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