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A comparison between self-reported and GIS-based proxies of residential exposure to environmental pollution in a case-control study on lung cancer
- Source :
- Spatial and spatio-temporal epidemiology. 9
- Publication Year :
- 2013
-
Abstract
- In epidemiological studies both questionnaire results and GIS modeling have been used to assess exposure to environmental risk factors. Nevertheless, few studies have used both these techniques to evaluate the degree of agreement between different exposure assessment methodologies. As part of a case–control study on lung cancer, we present a comparison between self-reported and GIS-derived proxies of residential exposure to environmental pollution. 649 subjects were asked to fill out a questionnaire and give information about residential history and perceived exposure. Using GIS, for each residence we evaluated land use patterns, proximity to major roads and exposure to industrial pollution. We then compared the GIS exposure-index values among groups created on the basis of questionnaire responses. Our results showed a relatively high agreement between the two methods. Although none of these methods is the “exposure gold standard”, understanding similarities, weaknesses and strengths of each method is essential to strengthen epidemiological evidence.
- Subjects :
- Male
medicine.medical_specialty
Lung Neoplasms
Epidemiology
Health, Toxicology and Mutagenesis
Geography, Planning and Development
Environmental pollution
Industrial pollution
Risk Assessment
Risk Factors
Environmental health
Surveys and Questionnaires
medicine
Humans
Exposure assessment
Aged
Land use
Incidence
Case-control study
Environmental Exposure
Middle Aged
Infectious Diseases
Geography
Italy
Case-Control Studies
Geographic Information Systems
Residence
Female
Environmental Pollution
Environmental epidemiology
Subjects
Details
- ISSN :
- 18775853
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- Spatial and spatio-temporal epidemiology
- Accession number :
- edsair.doi.dedup.....0d6ff43245e405054576261b89cbf3c5