Cited by 107Air Quality and Health ImpactsEnvironmental Justice and Health DisparitiesHealth, Environment, Cognitive Aging

Residential mobility impacts exposure assessment and community socioeconomic characteristics in longitudinal epidemiology studies

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Brokamp, Cole, LeMasters, Grace K, Ryan, Patrick H·2016·Journal of Exposure Science & Environmental Epidemiology

Abstract

Epidemiologic studies commonly use residential locations to estimate environmental exposures or community-level characteristics. The impact of residential mobility on these characteristics, however, is rarely considered. The objective of this analysis was to examine the effect of residential mobility on estimates of traffic-related air pollution (TRAP), greenspace, and community-level characteristics. All residential addresses were reported from birth through age seven for children enrolled in the Cincinnati Childhood Allergy and Air Pollution Study. Exposure to TRAP at each address was estimated using a land use model. Greenspace was estimated using satellite imagery. Indices of neighborhood deprivation and race were created based on socioeconomic-census tract measures. Exposure estimates using the birth record address, the last known address, and the annual address history were used to determine exposure estimation error and bias in the association with asthma at age seven. Overall, 54% of the cohort moved at least once prior to age seven. Each move was separated by a median of 4 miles and associated with a median decrease of 4.4% in TRAP exposure, a 5.3% increase in greenspace, an improved deprivation index, and no change in the race index. Using the birth record address or the last known address instead of the annual address history resulted in exposure misclassification leading to a bias toward the null when associating the exposures with asthma. Using a single address to estimate environmental exposures and community-level characteristics over a time period may result in differential assessment error.

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  • Four (80%) of the included articles explored the impact of residential mobility on exposure assessment.

    “Four (80%) of the included articles explored the impact of residential mobility on exposure assessment; that is, whether patients’ moving impacted the results of studies looking at environmental outcomes.15,16,56,57”

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Research works printed but not linked: 2

  1. Long L. Changing residence: comparative perspectives on its relationship to age, sex, and marital status. Population Studies 1992; 46: 141–158.
  2. Hijmans R, van Etten J. raster: raster: geographic data analysis and modeling. R package version. 2014;517:2.-12.

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Authors
Brokamp, C., LeMasters, G. K., & Ryan, P. H.
Affiliations
  • University of Cincinnati (US)
  • Cincinnati Children's Hospital Medical Center (US)
Corresponding author
Ryan, Patrick H
Venue
Journal of Exposure Science & Environmental Epidemiology
Published
2016-03-09
Volume
26
Issue
4
Pages
428-434
ISSN
  • 1559-0631 (ISSN-L)
  • 1559-064X
OpenAlex
W2296355421
Cited by
107
References
30
Citations by year
2026: 11 · 2025: 13 · 2024: 8 · 2023: 18 · 2022: 13 · 2021: 8 · 2020: 11 · 2019: 11 · 2018: 9 · 2017: 3 · 2016: 2
FWCI
5.24
Type
journal article
Language
en
Open access
Locations
  • Journal of Exposure Science & Environmental Epidemiology (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Institute of Environmental Health Sciences (R01ES019890, R01ES011170)
Topics
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Air Quality and Health Impacts
  • Social Sciences › Sociology and Political Science › Environmental Justice and Health Disparities
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Health, Environment, Cognitive Aging
Keywords
residential mobility, environmental exposure assessment, traffic-related air pollution, green spaces, neighborhood disadvantage, race, childhood asthma, exposure misclassification, exposure bias, land use regression, satellite imagery
MeSH terms
Air Pollutants, Air Pollution, Asthma, Vehicle Emissions, Child, Child, Preschool, Environmental Exposure, Environmental Monitoring, Female, Humans, Infant, Infant, Newborn, Kentucky, Longitudinal Studies, Male, Ohio, Population Dynamics, Residence Characteristics, Socioeconomic Factors, Bias, Proportional Hazards Models, Geographic Information Systems

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