Literature DB >> 11807800

Geographical epidemiology of prostate cancer in Great Britain.

Lars Jarup1, Nicky Best, Mireille B Toledano, Jon Wakefield, Paul Elliott.   

Abstract

Prostate cancer incidence has increased during recent years, possibly linked to environmental exposures. Exposure to environmental carcinogens is unlikely to be evenly distributed geographically, which may give rise to variations in disease occurrence that is detectable in a spatial analysis. The aim of our study was to examine the spatial variation of prostate cancer in Great Britain at ages 45-64 years. Spatial variation was examined across electoral wards from 1975-1991. Poisson regression was used to examine regional, urbanisation and socioeconomic effects, while Bayesian mapping techniques were used to assess spatial variability. There was an indication of geographical differences in prostate cancer risk at a regional level, ranging from 0.83 (95% CI: 0.78-0.87) to 1.2 (95% CI: 1.1-1.3) across regions. There was significant heterogeneity in the risk across wards, although the range of relative risks was narrow. More detailed spatial analyses within 4 regions did not indicate any clear evidence of localised geographical clustering for prostate cancer. The absence of any marked geographical variability at a small-area scale argues against a geographically varying environmental factor operating strongly in the aetiology of prostate cancer. Copyright 2001 Wiley-Liss, Inc.

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Year:  2002        PMID: 11807800     DOI: 10.1002/ijc.10113

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  16 in total

1.  Geographical pattern of brain cancer incidence in the Navarre and Basque Country regions of Spain.

Authors:  G López-Abente; M Pollán; E Ardanaz; M Errezola
Journal:  Occup Environ Med       Date:  2003-07       Impact factor: 4.402

2.  Bootstrap investigation of the stability of disease mapping of Bayesian cancer relative risk estimations.

Authors:  Marc Colonna
Journal:  Eur J Epidemiol       Date:  2004       Impact factor: 8.082

3.  Geospatial analyses to prioritize public health interventions: a case study of pedestrian and pedal cycle injuries in New South Wales, Australia.

Authors:  Roslyn G Poulos; Shanley S S Chong; Jake Olivier; Bin Jalaludin
Journal:  Int J Public Health       Date:  2012-01-24       Impact factor: 3.380

4.  Mapping and measuring social disparities in premature mortality: the impact of census tract poverty within and across Boston neighborhoods, 1999-2001.

Authors:  Jarvis T Chen; David H Rehkopf; Pamela D Waterman; S V Subramanian; Brent A Coull; Bruce Cohen; Mary Ostrem; Nancy Krieger
Journal:  J Urban Health       Date:  2006-11       Impact factor: 3.671

Review 5.  Informing geospatial toolset design: understanding the process of cancer data exploration and analysis.

Authors:  Tanuka Bhowmick; Amy L Griffin; Alan M MacEachren; Brenda C Kluhsman; Eugene J Lengerich
Journal:  Health Place       Date:  2007-10-23       Impact factor: 4.078

Review 6.  A Review and Framework for Categorizing Current Research and Development in Health Related Geographical Information Systems (GIS) Studies.

Authors:  A K Lyseen; C Nøhr; E M Sørensen; O Gudes; E M Geraghty; N T Shaw; C Bivona-Tellez
Journal:  Yearb Med Inform       Date:  2014-08-15

7.  Spatially-explicit survival modeling with discrete grouping of cancer predictors.

Authors:  Georgiana Onicescu; Andrew B Lawson; Jiajia Zhang; Mulugeta Gebregziabher; Kristin Wallace; Jan M Eberth
Journal:  Spat Spatiotemporal Epidemiol       Date:  2018-06-21

8.  Feasibility and utility of mapping disease risk at the neighbourhood level within a Canadian public health unit: an ecological study.

Authors:  Eric J Holowaty; Todd A Norwood; Susitha Wanigaratne; Juanjo J Abellan; Linda Beale
Journal:  Int J Health Geogr       Date:  2010-05-10       Impact factor: 3.918

9.  Elucidating the spatially varying relation between cervical cancer and socio-economic conditions in England.

Authors:  Edith M Y Cheng; Peter M Atkinson; Arjan K Shahani
Journal:  Int J Health Geogr       Date:  2011-09-26       Impact factor: 3.918

10.  Use of space-time models to investigate the stability of patterns of disease.

Authors:  Juan Jose Abellan; Sylvia Richardson; Nicky Best
Journal:  Environ Health Perspect       Date:  2008-08       Impact factor: 9.031

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