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Methodological approaches to the study of cancer risk in the vicinity of pollution sources: the experience of a population-based case–control study of childhood cancer
- Source :
- Repisalud, Instituto de Salud Carlos III (ISCIII), International Journal of Health Geographics, Vol 18, Iss 1, Pp 1-18 (2019), International Journal of Health Geographics, Dadun. Depósito Académico Digital de la Universidad de Navarra, instname
- Publication Year :
- 2019
- Publisher :
- Springer Science and Business Media LLC, 2019.
-
Abstract
- BACKGROUND: Environmental exposures are related to the risk of some types of cancer, and children are the most vulnerable group of people. This study seeks to present the methodological approaches used in the papers of our group about risk of childhood cancers in the vicinity of pollution sources (industrial and urban sites). A population-based case-control study of incident childhood cancers in Spain and their relationship with residential proximity to industrial and urban areas was designed. Two methodological approaches using mixed multiple unconditional logistic regression models to estimate odds ratios (ORs) and 95% confidence intervals (95% CIs) were developed: (a) "near vs. far" analysis, where possible excess risks of cancers in children living near ("near") versus those living far ("far") from industrial and urban areas were assessed; and (b) "risk gradient" analysis, where the risk gradient in the vicinity of industries was assessed. For each one of the two approaches, three strategies of analysis were implemented: "joint", "stratified", and "individualized" analysis. Incident cases were obtained from the Spanish Registry of Childhood Cancer (between 1996 and 2011). RESULTS: Applying this methodology, associations between proximity (≤ 2 km) to specific industrial and urban zones and risk (OR; 95% CI) of leukemias (1.31; 1.04-1.65 for industrial areas, and 1.28; 1.00-1.53 for urban areas), neuroblastoma (2.12; 1.18-3.83 for both industrial and urban areas), and renal (2.02; 1.16-3.52 for industrial areas) and bone (4.02; 1.73-9.34 for urban areas) tumors have been suggested. CONCLUSIONS: The two methodological approaches were used as a very useful and flexible tool to analyze the excess risk of childhood cancers in the vicinity of industrial and urban areas, which can be extrapolated and generalized to other cancers and chronic diseases, and adapted to other types of pollution sources. This study was funded by Carlos III Institute of Health, Spain Grand EPY1344/16, Spain’s Health Research Fund (Fondo de Investigación Sanitaria—FIS 12/01416), and Scientific Foundation of the Spanish Association Against Cancer, Spain (Fundación Científica de la Asociación Española Contra el Cáncer (AECC)—EVP-1178/14). This article presents independent research. The views expressed are those of the authors and not necessarily those of the Carlos III Institute of Health. Sí
- Subjects :
- medicine.medical_specialty
General Computer Science
Case–control study
Health geography
Population
Industrial pollution
Logistic regression
lcsh:Computer applications to medicine. Medical informatics
Urban pollution
03 medical and health sciences
Cancer risk
0302 clinical medicine
Risk Factors
Environmental health
Neoplasms
Epidemiology
medicine
Humans
030212 general & internal medicine
education
Child
education.field_of_study
030505 public health
Public health
Incidence
Public Health, Environmental and Occupational Health
Case-control study
Absolute risk reduction
Methodology
Odds ratio
General Business, Management and Accounting
Geography
Spain
Case-Control Studies
Population Surveillance
lcsh:R858-859.7
0305 other medical science
Environmental Pollution
Childhood cancer
Ciencias de la Salud::Oncología [Materias Investigacion]
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Repisalud, Instituto de Salud Carlos III (ISCIII), International Journal of Health Geographics, Vol 18, Iss 1, Pp 1-18 (2019), International Journal of Health Geographics, Dadun. Depósito Académico Digital de la Universidad de Navarra, instname
- Accession number :
- edsair.doi.dedup.....2831bf2427485ff0de48a7d98ddab5f7