Literature DB >> 12915498

Childhood cancer and population mixing.

Graham R Law1, Roger C Parslow, Eve Roman.   

Abstract

An expert panel reviewed a cluster of childhood leukemias in Fallon, Nevada, and suggested the population mixing hypothesis as an explanation. This hypothesis proposes that nonimmune children exposed to some unknown infection(s), through population mixing, are at increased risk of developing acute lymphoblastic leukemia and non-Hodgkin's lymphoma. The United Kingdom Childhood Cancer Study registered 3,838 children with cancer and 7,669 matched controls aged 0-14 years during 1991-1996 in England, Scotland, and Wales. Local area characteristics for each child's residential address at diagnosis were assigned from census data: volume and diversity of population mixing, material deprivation, and rural status. The best-fitting models were chosen for three diagnostic groups: acute lymphoblastic leukemia, non-Hodgkin's lymphoma, and all other tumors. Elevated risks of acute lymphoblastic leukemia were found in areas with a low diversity of origins of migrants and for non-Hodgkin's lymphoma in areas with a low diversity of origins of child migrants; for other tumors, no covariates were associated. This study, and a survey of 17 published reports on population mixing, suggests that a low diversity of migrant backgrounds may be associated with acute lymphoblastic leukemia. These findings do not support the population mixing hypothesis. Although they support the Greaves delayed infection hypothesis, other aspects of this hypothesis were not addressed.

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Year:  2003        PMID: 12915498     DOI: 10.1093/aje/kwg165

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  13 in total

1.  Does population mixing measure infectious exposure in children at the community level?

Authors:  John C Taylor; Graham R Law; Paul J Boyle; Zhiqiang Feng; Mark S Gilthorpe; Roger C Parslow; Gavin Rudge; Richard G Feltbower
Journal:  Eur J Epidemiol       Date:  2008-08-14       Impact factor: 8.082

2.  Population mixing and the risk of childhood leukaemia in Switzerland: a census-based cohort study.

Authors:  Judith E Lupatsch; Claudia E Kuehni; Felix Niggli; Roland A Ammann; Matthias Egger; Ben D Spycher
Journal:  Eur J Epidemiol       Date:  2015-05-26       Impact factor: 8.082

3.  Temporal association between childhood leukaemia and population growth in Swiss municipalities.

Authors:  Judith E Lupatsch; Christian Kreis; Marcel Zwahlen; Felix Niggli; Roland A Ammann; Claudia E Kuehni; Ben D Spycher
Journal:  Eur J Epidemiol       Date:  2016-06-01       Impact factor: 8.082

4.  Race/ethnicity and the risk of childhood leukaemia: a case-control study in California.

Authors:  Sona Oksuzyan; Catherine M Crespi; Myles Cockburn; Gabor Mezei; Ximena Vergara; Leeka Kheifets
Journal:  J Epidemiol Community Health       Date:  2015-03-19       Impact factor: 3.710

Review 5.  Cancer clusters in the USA: what do the last twenty years of state and federal investigations tell us?

Authors:  Michael Goodman; Joshua S Naiman; Dina Goodman; Judy S LaKind
Journal:  Crit Rev Toxicol       Date:  2012-04-21       Impact factor: 5.635

6.  Childhood leukaemia and socioeconomic status in England and Wales 1976-2005: evidence of higher incidence in relatively affluent communities persists over time.

Authors:  M E Kroll; C A Stiller; M F G Murphy; L M Carpenter
Journal:  Br J Cancer       Date:  2011-10-25       Impact factor: 7.640

7.  An examination, with a meta-analysis, of studies of childhood leukaemia in relation to population mixing.

Authors:  L J Kinlen
Journal:  Br J Cancer       Date:  2012-09-06       Impact factor: 7.640

8.  Population mixing, socioeconomic status and incidence of childhood acute lymphoblastic leukaemia in England and Wales: analysis by census ward.

Authors:  C A Stiller; M E Kroll; P J Boyle; Z Feng
Journal:  Br J Cancer       Date:  2008-02-05       Impact factor: 7.640

9.  Childhood leukaemia and population movements in France, 1990-2003.

Authors:  S Bellec; B Baccaïni; A Goubin; J Rudant; M Ripert; D Hémon; J Clavel
Journal:  Br J Cancer       Date:  2007-12-18       Impact factor: 7.640

10.  Cancer incidence patterns by region and socioeconomic deprivation in teenagers and young adults in England.

Authors:  R D Alston; S Rowan; T O B Eden; A Moran; J M Birch
Journal:  Br J Cancer       Date:  2007-05-15       Impact factor: 7.640

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