Cluster analysis of childhood cancer and its relationship with proximity to sources of industrial pollution in the Valle de Aburrá Metropolitan Area, 2000-2015

Authors

  • Laura Andrea Rodriguez Villamizar Universidad Industrial de Santander
  • Ana Maria Valbuena Garcia Cuenta de Alto Costo
  • Feisar Enrique Moreno Corzo Dirección de Investigaciones. Fundación Oftalmológica de Santander
  • Maria Alejandra Jaimes Reyes Registro Poblacional de Cancer del Area Metropolitana de Bucaramanga https://orcid.org/0000-0002-1186-4010
  • Mary Ruth Brome Bohorquez Secretaría Seccional de Salud y Protección Social de Antioquia
  • Hector Iván García García Fundación Auna Ideas

DOI:

https://doi.org/10.17533/udea.rfnsp.e346065

Keywords:

cluster analysis, Valle de Aburrá Metropolitan Area (Antioquia, Colombia), childhood cancer, industrial pollution, tumors, pediatric

Abstract

Objective: This study evaluated the effect of proximity to industrial sources of air pollution on the appearance of clusters of childhood cancer cases in the Valle de Aburrá Metropolitan Area, in the department of Antioquia, during the period 2000-2015.

Methodology: The information on cases of childhood cancer in children under 15 years of age residing in the metropolitan area was obtained from the Antioquia Population Cancer Registry for that period. 32 industrial conglomerates were identified, based on the inventory of the local environmental authority. Local and focused Kulldorf circular scan tests were performed to detect clusters of childhood cancer in municipalities and around industrial clusters, respectively. A multivariate regression model adjusted for socioeconomic status was used to assess the effect of spatial variables.

Results: The specific incidence rate in Valle de Aburrá for the evaluated period was 117.13 cases per million children under 15 years of age. The highest incidence rates occurred in the municipalities of Medellín and Sabaneta. The Kulldorf test identified 12 spatial and 8 space-time clusters with statistical significance in 7 of the municipalities, particularly in Bello and Medellín. The focused tests identified clusters of around 20 industrial clusters. In the multivariate models, a cluster in Bello showed a statistically significant and inverse association between the incidence and the distance to the cluster with southeast directionality.

Conclusion: Some spatio-temporal clusters of childhood cancer in the Valle de Aburrá Metropolitan Area between 2000 and 2015 are related to proximity to industrial sources of air pollution

|Abstract
= 700 veces | HTML (ESPAÑOL (ESPAÑA))
= 9 veces| | PDF (ESPAÑOL (ESPAÑA))
= 304 veces|

Downloads

Download data is not yet available.

References

Force LM, Abdollahpour I, Advani SM, et al. The global burden of childhood and adolescent cancer in 2017: An analysis of the Global Burden of Disease Study 2017. Lancet Oncol. 2019;20(9):1211-25. doi: https://doi.org/10.1016/S1470-2045(19)30339-0

Steliarova-Foucher E, Colombet M, Ries LAG, et al. International incidence of childhood cancer, 2001-10: A population-based registry study. Lancet Oncol. 2017;18(6):719-31. doi: https://doi.org/10.1016/S1470-2045(17)30186-9

Cuenta de Alto Costo, Fondo Colombiano de Enfermedades de Alto Costo. Situación del cáncer en la población pediátrica atendida en el sgsss de Colombia, 2018. Bogotá; 2019.

Narod S, Stiller C, Lenoir G. An estimate of the heritable fraction of childhood cancer. Br J Cancer. 1991;63(6):993-9. doi: https://doi.org/10.1038/bjc.1991.216

Knox EG. Childhood cancers and atmospheric carcinogens. J Epidemiol Community Heal. 2005;59(2):101-5. doi: https://doi.org/10.1136/jech.2004.021675

Filippini T, Heck JE, Malagoli C, et al. A review and meta-analysis of outdoor air pollution and risk of childhood leukemia. J Environ Sci Heal Part C. 2015;33(1):36-66. doi: https://doi.org/10.1080/10590501.2015.1002999

García-Pérez J, López-Abente G, Gómez-Barroso D, et al. Childhood leukemia and residential proximity to industrial and urban sites. Environ Res. 2015;140:542-53. doi: https://doi.org/10.1016/j.envres.2015.05.014

Rodríguez-Villamizar LA, Rojas Díaz MP, Acuña Merchán LA, et al. Space-time clustering of childhood leukemia in Colombia: A nationwide study. bmc Cancer. 2020;20(1):1-10. doi: https://doi.org/10.1186/s12885-020-6531-2

Tovar JR, Gómez GA. Incidencia de cáncer infantil en una ciudad colombiana. Cienc. Salud. [internet]. 2016 [citado 2021 nov. 22]; 14(3):315-29. Disponible en: http://revistas.urosario.edu.co/index.php/revsalud/article/view/5140/3510

Departamento Administrativo Nacional de Estadística (dane). Censo general 2005 [internet] 2005 [citado 2021 mar. 5]. Disponible en: https://www.dane.gov.co/index.php/estadisticas-por-tema/demografia-y-poblacion/censo-general-2005-1

Departamento Administrativo Nacional de Estadística (dane). Geoportal dane. Disponible en: https://dane.maps.arcgis.com/home/index.html

Departamento Administrativo Nacional de Estadistica (dane). Estratificación socioeconómica [internet]. s. f. [citado 2021 mar. 5]. Disponible en: https://www.dane.gov.co/index.php/sistema-estadistico-nacional-sen/69-espanol/ geoestadistica/estratificacion/468-estratificacion-socioeconomica

Waller L, Gotway C. Applied spatial statistics for public health data. New Jersey: Wiley Interscience [internet]; 2004 [citado 2021 mar. 5]. Disponible en: https://www.wiley.com/en-us/Applied+Spatial+Statistics+for+Public+Health+Data-p-9780471387718

Rabe-Hesketh S, Skrondal A. Multilevel and longitudinal modeling using stata. College Station, Texas: Stata Press; 2005.

Valbuena-García AM, Rodríguez-Villamizar LA. Análisis espacial en epidemiología: revisión de métodos. Rev la Univ Ind Santander Salud [internet]. 2018 [citado 2021 mar. 5]; 50(4):358-65. Disponible en: https://revistas.uis.edu.co/index.php/revistasaluduis/article/view/8820/8706

Lawson AB. The statistical analysis of points events associated with a fixed point. University of St. Andrews [internet]; 1991 [citado 2021 mar. 5]. Disponible en: https://research-repository.st-andrews.ac.uk/handle/10023/7294

International Agency for Research on Cancer. International incidence for childhood cancer. Regisgtry-specific tables [internet]. [citado 2020 mar. 5]. Disponible en: https://iicc.iarc.fr/results/registry-specific-tables/

Cendales R, Pardo C, Uribe C, et al. Calidad de los datos en los registros de cáncer de base de población en Colombia. Biomédica. 2012;32(4):536-44. doi: https://doi.org/10.7705/biomedica.v32i4.756

American Cancer Society. Global cancer facts & figures. 4th Edition. Atlanta: American Cancer Society [internet]; 2018. pp. 15-17 [citado 2020 mar. 5]. Disponible en: https://www.cancer.org/content/dam/cancer-org/research/cancer-facts-and-statistics/global-cancer-facts-and-figures/global-cancer-facts-and-figures-4th-edition.pdf

Alexander FE, Boyle P, Carli PM, et al. Spatial clustering of childhood leukaemia: Summary results from the euroclus project. Br J Cancer. 1998;77(5):818-24. doi: https://doi.org/10.1038/bjc.1998.133

Kreis C, Grotzer M, et al. Space-time clustering of childhood cancers in Switzerland: A nationwide study. Int J Cancer. 2016;138(9):2127-35. doi: http://doi.wiley.com/10.1002/ijc.29955

Francis SS, Enders C, Hyde R, et al. Spatial-temporal cluster analysis of childhood cancer in California. Epidemiology. 2020;31(2):214-23. doi: https://doi.org/10.1097/EDE.0000000000001121

Wiemels J, Cazzaniga G, Daniotti M, et al. Prenatal origin of acute lymphoblastic leukaemia in children. Lancet. 1999;354(9189):1499-503 doi: https://doi.org/10.1016/S0140-6736(99)09403-9

Kreis C, Doessegger E, et al. Space-time clustering of childhood cancers: A systematic review and pooled analysis. Eur J Epidemiol. 2019;34(1):9-21.doi: https://doi.org/10.1007/s10654-018-0456-y

Agost L. Analysis of spatial-temporal clusters of childhood cancer incidence in the province of Córdoba, Argentina (2004-2013). Arch Argent Pediatr. 2016;114(6):534-41. doi: https://doi.org/10.5546/aap.2016.eng.534

Wakeford R. The risk of childhood leukaemia following exposure to ionising radiation—a review. J Radiol Prot. 2013;33(1):1-25. doi: https://doi.org/10.1088/0952-4746/33/1/1

Van Maele-Fabry G, Lantin A-C, et al. Residential exposure to pesticides and childhood leukaemia: A systematic review and meta-analysis. Environ Int. 2011;37(1):280-91. doi: https://doi.org/10.1016/j.envint.2010.08.016

Rodriguez-Villamizar LA, Moreno-Corzo FE, Valbuena-Garcia AM, et al. Childhood leukemia in small geographical areas and proximity to industrial sources of air pollutants in three colombian cities. Int J Environ Res Public Health. 2020;17(21):1-17. doi: https://doi.org/10.3390/ijerph17217925

Area Metropolitana del Valle de Aburrá. Plan Integral de Desarrollo Metropolitano. Metropoli 2008-2020. Medellin [internet]; 2007 [citado 2021 abr. 7]. Disponible en: https://www.metropol.gov.co/planeacion/Documents/plan-metropoli-2008-2020.pdf

Valbuena-Garcia AM, Rodriguez-Villamizar LA, Uribe-Pérez CJ, et al. A spatial analysis of childhood cancer and industrial air pollution in a metropolitan area of Colombia. Pediatr Blood Cancer. 2020;67(9):1-8. doi: https://doi.org/10.1002/pbc.28353

Published

2022-06-08

How to Cite

1.
Rodriguez Villamizar LA, Valbuena Garcia AM, Moreno Corzo FE, Jaimes Reyes MA, Brome Bohorquez MR, García García HI. Cluster analysis of childhood cancer and its relationship with proximity to sources of industrial pollution in the Valle de Aburrá Metropolitan Area, 2000-2015. Rev. Fac. Nac. Salud Pública [Internet]. 2022 Jun. 8 [cited 2025 Feb. 5];40(2):e346065. Available from: https://revistas.udea.edu.co/index.php/fnsp/article/view/346065

Issue

Section

Salud de los niños

Categories

Most read articles by the same author(s)