Literature DB >> 18768353

Development of a GIS-based indicator for environmental pesticide exposure and its application to a Belgian case-control study on bladder cancer.

Christa Cornelis1, Greet Schoeters, Eliane Kellen, Frank Buntinx, Maurice Zeegers.   

Abstract

We developed two indicators to assess the exposure of residents to agricultural pesticide use and applied it in a case-control study on bladder cancer in the province of Limburg, Belgium. The first indicator used a distance-weighted measure of crop area for specified crops (fruit trees, fruit bushes and vegetables). The second indicator used a distance-weighted measure of pesticide use. We used information at three scale levels: (a) information at individual's level, such as distance to crop fields; (b) information at the level of the municipality, such as time-series of crop area; and (c) regional information, such as pesticide use. Pesticide use data were available per group of pesticides (fungicides, herbicides, insecticides, growth regulators and group of other pesticides). Indicators were calculated for each individual in the case-control study. The indicators were calculated per year for a period of 20 years, taking into account address history. Variation of pesticide use and toxicity with time was addressed by a relative risk factor. A very strong correlation was found between the area of fruit trees and bushes and the use of fungicides as well as the use of "other pesticides", indicating that these groups of pesticides are predominantly used in fruit production. The indicator for fruit trees is highly skewed to the right, indicating a high number of subjects with low potential exposure to fruit trees. Pesticide pressure indicators are less skewed as they combine application to multiple crops; the highest skewness is found for fungicides corresponding with the distribution for fruit trees. Statistical analysis revealed no association between the indicators and the incidence of bladder cancer. The results show that, using GIS, it is possible to reconstruct potential environmental pesticide exposure accounting for changes in pesticide use, crop area and residence history. Validation of the method with measured exposure is considered essential in view of its future application in other studies.

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Year:  2008        PMID: 18768353     DOI: 10.1016/j.ijheh.2008.06.001

Source DB:  PubMed          Journal:  Int J Hyg Environ Health        ISSN: 1438-4639            Impact factor:   5.840


  5 in total

Review 1.  An eight-year snapshot of geospatial cancer research (2002-2009): clinico-epidemiological and methodological findings and trends.

Authors:  Dina N Kamel Boulos; Ramy R Ghali; Ezzeldin M Ibrahim; Maged N Kamel Boulos; Philip AbdelMalik
Journal:  Med Oncol       Date:  2010-06-30       Impact factor: 3.064

2.  Assessment of residential environmental exposure to pesticides from agricultural fields in the Netherlands.

Authors:  Maartje Brouwer; Hans Kromhout; Roel Vermeulen; Jan Duyzer; Henk Kramer; Gerard Hazeu; Geert de Snoo; Anke Huss
Journal:  J Expo Sci Environ Epidemiol       Date:  2017-03-22       Impact factor: 5.563

3.  Application of GIS Spatial Analysis and Scanning Statistics in the Gynecological Cancer Clustering Pattern and Risk Screening: A Case Study in Northern Jiangxi Province, China.

Authors:  Zhiwei Wan; Yaqi Wang; Chunhong Deng
Journal:  Risk Manag Healthc Policy       Date:  2020-08-10

4.  Passive exposure to agricultural pesticides and risk of childhood leukemia in an Italian community.

Authors:  Carlotta Malagoli; Sofia Costanzini; Julia E Heck; Marcella Malavolti; Gianfranco De Girolamo; Paola Oleari; Giovanni Palazzi; Sergio Teggi; Marco Vinceti
Journal:  Int J Hyg Environ Health       Date:  2016-09-21       Impact factor: 5.840

5.  How does exposure to pesticides vary in space and time for residents living near to treated orchards?

Authors:  Hie Ling Wong; David G Garthwaite; Carmel T Ramwell; Colin D Brown
Journal:  Environ Sci Pollut Res Int       Date:  2017-09-25       Impact factor: 4.223

  5 in total

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