Literature DB >> 8547543

Childhood leukemia and rural population movements: Greece, Italy, and other countries.

L J Kinlen1, E Petridou.   

Abstract

Mortality from childhood leukemia was examined particularly in rural countries in relation to any major rural-urban migration. Significant increases have been found in other situations of rural population mixing as predicted by the infection hypothesis. The 1950s and 1960s were of most interest since it preceded the decline in mortality brought about by effective chemotherapy in many countries. The 33 countries covered were all those in the World Health Organization's mortality database. No sensitive measure of rural-urban migration is available for international comparisons. However, it seems noteworthy that Greece and Italy, the two countries with the most striking levels of rural migration in the 1950s and 1960s, also had unusually high mortality rates from childhood leukemia. Greece was most affected proportionally by these population movements and from 1958 to 1972 had the highest recorded mortality from this cause in the world. The problems of international comparisons of mortality data dictate caution in drawing conclusions. However, against a background of other work on population mixing, and in the light of certain considerations, we suggest that the marked rural population mixing in Greece and Italy may have contributed to their high mortality rates from childhood leukemia in the 1950s and 1960s.

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Year:  1995        PMID: 8547543     DOI: 10.1007/bf00052185

Source DB:  PubMed          Journal:  Cancer Causes Control        ISSN: 0957-5243            Impact factor:   2.506


  11 in total

1.  Absence of leukaemia clustering on Greek islands.

Authors:  E Petridou; C C Hsieh; G Kotsifakis; Y Skalkidis; D Trichopoulos
Journal:  Lancet       Date:  1991-11-09       Impact factor: 79.321

2.  Childhood leukaemia mortality and population change in England and Wales 1969-73.

Authors:  I Langford
Journal:  Soc Sci Med       Date:  1991       Impact factor: 4.634

3.  Childhood cancer mortality: international comparisons 1955-1974.

Authors:  R West
Journal:  World Health Stat Q       Date:  1984

4.  Rural population mixing and childhood leukaemia: effects of the North Sea oil industry in Scotland, including the area near Dounreay nuclear site.

Authors:  L J Kinlen; F O'Brien; K Clarke; A Balkwill; F Matthews
Journal:  BMJ       Date:  1993-03-20

5.  Childhood leukaemia and poliomyelitis in relation to military encampments in England and Wales in the period of national military service, 1950-63.

Authors:  L J Kinlen; C Hudson
Journal:  BMJ       Date:  1991-11-30

6.  Childhood leukaemia and non-Hodgkin's lymphoma near large rural construction sites, with a comparison with Sellafield nuclear site.

Authors:  L J Kinlen; M Dickson; C A Stiller
Journal:  BMJ       Date:  1995-03-25

7.  Wartime evacuation and mortality from childhood leukaemia in England and Wales in 1945-9.

Authors:  L J Kinlen; S M John
Journal:  BMJ       Date:  1994-11-05

8.  Evidence from population mixing in British New Towns 1946-85 of an infective basis for childhood leukaemia.

Authors:  L J Kinlen; K Clarke; C Hudson
Journal:  Lancet       Date:  1990-09-08       Impact factor: 79.321

9.  Epidemiological evidence for an infective basis in childhood leukaemia.

Authors:  L J Kinlen
Journal:  Br J Cancer       Date:  1995-01       Impact factor: 7.640

10.  Contacts between adults as evidence for an infective origin of childhood leukaemia: an explanation for the excess near nuclear establishments in west Berkshire?

Authors:  L J Kinlen; C M Hudson; C A Stiller
Journal:  Br J Cancer       Date:  1991-09       Impact factor: 7.640

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  15 in total

1.  Childhood leukemia and social circumstance.

Authors:  G Wyllie
Journal:  Cancer Causes Control       Date:  1996-03       Impact factor: 2.506

2.  Childhood leukemia in metropolitan regions in the United States: a possible relation to population density?

Authors:  C R Muirhead
Journal:  Cancer Causes Control       Date:  1995-09       Impact factor: 2.506

3.  Are the children of fathers whose jobs involve contact with many people at an increased risk of leukaemia?

Authors:  N T Fear; E Roman; G Reeves; B Pannett
Journal:  Occup Environ Med       Date:  1999-07       Impact factor: 4.402

4.  Modelling of municipal mortality due to haematological neoplasias in Spain.

Authors:  Rebeca Ramis Prieto; Javier García-Pérez; Marina Pollán; Nuria Aragonés; Beatriz Pérez-Gómez; Gonzalo López-Abente
Journal:  J Epidemiol Community Health       Date:  2007-02       Impact factor: 3.710

5.  Day care, childhood infections, and risk of neuroblastoma.

Authors:  Florence Menegaux; Andrew F Olshan; Joseph P Neglia; Brad H Pollock; Melissa L Bondy
Journal:  Am J Epidemiol       Date:  2004-05-01       Impact factor: 4.897

Review 6.  Childhood leukaemia, nuclear sites, and population mixing.

Authors:  L Kinlen
Journal:  Br J Cancer       Date:  2010-11-09       Impact factor: 7.640

7.  Probability estimates for the unique childhood leukemia cluster in Fallon, Nevada, and risks near other U.S. Military aviation facilities.

Authors:  Craig Steinmaus; Meng Lu; Randall L Todd; Allan H Smith
Journal:  Environ Health Perspect       Date:  2004-05       Impact factor: 9.031

8.  Space-time clustering of childhood leukaemia in Greece: evidence supporting a viral aetiology.

Authors:  E Petridou; K Revinthi; F E Alexander; S Haidas; D Koliouskas; H Kosmidis; F Piperopoulou; F Tzortzatou; D Trichopoulos
Journal:  Br J Cancer       Date:  1996-05       Impact factor: 7.640

9.  The risk profile of childhood leukaemia in Greece: a nationwide case-control study.

Authors:  E Petridou; D Trichopoulos; V Kalapothaki; A Pourtsidis; M Kogevinas; M Kalmanti; D Koliouskas; H Kosmidis; J P Panagiotou; F Piperopoulou; F Tzortzatou
Journal:  Br J Cancer       Date:  1997       Impact factor: 7.640

10.  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

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