Literature DB >> 19280992

Linkage of the Third National Health and Nutrition Examination Survey to air quality data.

Nataliya Kravets1, Jennifer D Parker.   

Abstract

OBJECTIVES: This report describes the linked data file obtained as a result of combining air pollution data and National Health and Nutrition Examination Survey (NHANES) III data.
METHODS: Average annual air pollution exposures to particulate matter consisting of particles smaller than 10 micrometers in diameter (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), and carbon monoxide (CO) were created for NHANES III examined persons by averaging values from monitors within a 5-, 10-, 15-, and 20-mile radius from the block-group centroid of their residence and in the county of their residence. Percentage records geocoded to block-group level, percentage records linked to air pollution, and distributions of exposure values were estimated for the total sample and various demographic groups.
RESULTS: The percentages of respondents who were assigned countywide air pollution values ranges from a low of 43 percent in the case of NO2 data to a high of 68 percent in the case of PM10 data. Among the pollutants considered, PM10 data provides the best coverage. Of all the metrics created, the highest coverage is achieved by averaging readings of monitors located within a 20-mile distance from the centroid of respondents' block groups. Among the demographic variables analyzed, differences in air pollution coverage and exposure levels occur most often among groups defined by race and Hispanic origin, region, and county level of urbanization. However, differences among groups depend on the pollutant and geographic linkage method. The linked dataset provides researchers with opportunities to investigate the relationship between air pollution and various health outcomes.

Entities:  

Mesh:

Year:  2008        PMID: 19280992

Source DB:  PubMed          Journal:  Vital Health Stat 2        ISSN: 0083-2057


  4 in total

Review 1.  Quasi-experimental studies suggest that lowering air pollution levels benefits infants' and children's health.

Authors:  Janet Currie; Samantha Heep Ray; Matthew Neidell
Journal:  Health Aff (Millwood)       Date:  2011-12       Impact factor: 6.301

Review 2.  Unravelling the human genome-phenome relationship using phenome-wide association studies.

Authors:  William S Bush; Matthew T Oetjens; Dana C Crawford
Journal:  Nat Rev Genet       Date:  2016-02-15       Impact factor: 53.242

3.  Particulate Air Pollution and Clinical Cardiovascular Disease Risk Factors.

Authors:  Ryan P Shanley; Richard B Hayes; Kevin R Cromar; Kazuhiko Ito; Terry Gordon; Jiyoung Ahn
Journal:  Epidemiology       Date:  2016-03       Impact factor: 4.822

4.  Exposures to fine particulate air pollution and respiratory outcomes in adults using two national datasets: a cross-sectional study.

Authors:  Keeve E Nachman; Jennifer D Parker
Journal:  Environ Health       Date:  2012-04-10       Impact factor: 5.984

  4 in total

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