Spatial clustering of childhood cancers in Great Britain

被引:24
|
作者
Knox, EG [1 ]
Gilman, EA [1 ]
机构
[1] UNIV BIRMINGHAM,SCH MED,INST PUBL & ENVIRONM HLTH,DEPT EPIDEMIOL & PUBL HLTH,BIRMINGHAM B15 2TT,W MIDLANDS,ENGLAND
关键词
D O I
10.1136/jech.50.3.313
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Study objectives - Firstly, to identify spatially close pairs and triplets of childhood leukaemias and cancers in Britain. Secondly, to compare pair frequencies with random expectations, identify excesses, and measure the diameters of any clusters. Thirdly, to infer possible causes. Design and setting - Stratified Poisson analyses of two comprehensive sets of childhood leukaemia and cancer data in Great Britain: seeking home address pairs within particular census enumeration districts (EDs) or postcodes (PCs). Numbers of pairs/triplets of leukaemia registrations sharing single or adjacent EDs were compared with Poisson expectations in national ED strata with different numbers of households (HHs). Pairs/triplets of leukaemia/cancer deaths (and births) sharing a single PC were compared with Poisson expectations in national PC strata with different numbers of postal delivery points (DPs). Same and adjacent house pairs were identified individually among the same PC death pairs. Areal case densities were estimated around a sample of index cases, using their own PC grid coordinates, and those recorded in the central PC directory. Participants - These comprised, firstly, all cases of childhood leukaemia and non-Hodgkin lymphoma registered between 1966 and 1983 in England and Wales (ED analysis) and, secondly, all childhood leukaemia and cancer deaths between 1953 and 1980, in England, Wales, and Scotland (PC analyses at birth and at death). Main results - Short range spatial clustering was demonstrated (a) far leukaemia at place of registration, and (b) for leukaemia and cancer (separately and jointly) at both birth and death addresses. There was evidence of additional case pairing in adjacent PCs. Both data sets showed a relative local pair excess of about 1.5, within diameters of 300 metres. Secondary case densities, measured within 600 metres of a sample of unpaired index cases, were raised by the same ratio. The raised risk then tapered with increasing distance to about 3 km. Forty-four non-twin pairs had died at exactly the same address, far in excess of random expectation. This same house excess was due entirely to 31 sibling pairs. They also showed a relative excess of central nervous system and other solid tumours; but without the exact tumour type sibling concordances sometimes seen in MZ twins. The sibling pairs were only a small part of the overall excess of same PC pairs. Conclusions - Short range geographical clustering probably reflects two separate causes of childhood cancer, namely (a) an uncommon familial susceptibility to solid cancers, probably inherited, and (b) a group of long standing focal environmental hazards, most effective within a few hundred metres of the source, but detectable as far as 3 km.
引用
收藏
页码:313 / 319
页数:7
相关论文
共 50 条
  • [31] Spatial prediction of naturally occurring gamma radiation in Great Britain
    Chernyayskiy, P.
    Kendall, G. M.
    Wakeford, R.
    Little, M. P.
    JOURNAL OF ENVIRONMENTAL RADIOACTIVITY, 2016, 164 : 300 - 311
  • [32] Spatial variation and temporal trends of testicular cancer in Great Britain
    M B Toledano
    L Jarup
    N Best
    J Wakefield
    P Elliott
    British Journal of Cancer, 2001, 84 : 1482 - 1487
  • [33] Great Britain's spatial twitter activity related to fracking'
    Bartie, P.
    Varley, A.
    Dickie, J.
    Evensen, D.
    Devine-Wright, P.
    Ryder, S.
    Whitmarsh, L.
    Foad, C.
    COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 2023, 103
  • [34] Teenage childbearing in Great Britain and the spatial concentration of poverty households
    McCulloch, A
    JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH, 2001, 55 (01) : 16 - 23
  • [35] A Bayesian spatial hierarchical model for extreme precipitation in Great Britain
    Sharkey, Paul
    Winter, Hugo C.
    ENVIRONMETRICS, 2019, 30 (01)
  • [36] SPATIAL CLUSTERING IN CHILDHOOD DIABETES - EVIDENCE OF AN ENVIRONMENTAL CAUSE
    BODINGTON, MJ
    MUZULU, SI
    BURDEN, AC
    DIABETIC MEDICINE, 1995, 12 (10) : 865 - 867
  • [37] Spatial clustering of childhood leukaemia in Switzerland: A nationwide study
    Konstantinoudis, Garyfallos
    Kreis, Christian
    Ammann, Roland A.
    Niggli, Felix
    Kuehni, Claudia E.
    Spycher, Ben D.
    INTERNATIONAL JOURNAL OF CANCER, 2017, 141 (07) : 1324 - 1332
  • [38] Social deprivation and spatial clustering of childhood asthma in Australia
    Khan, Jahidur Rahman
    Lingam, Raghu
    Owens, Louisa
    Chen, Katherine
    Shanthikumar, Shivanthan
    Oo, Steve
    Schultz, Andre
    Widger, John
    Bakar, K. Shuvo
    Jaffe, Adam
    Homaira, Nusrat
    GLOBAL HEALTH RESEARCH AND POLICY, 2024, 9 (01)
  • [39] Spatial Clustering of Childhood Acute Lymphoblastic Leukaemia in Hungary
    Nyari, T. A.
    Ottoffy, G.
    Bartyik, K.
    Thurzo, L.
    Solymosi, N.
    Cserni, G.
    Parker, L.
    McNally, R. J. Q.
    PATHOLOGY & ONCOLOGY RESEARCH, 2013, 19 (02) : 297 - 302
  • [40] Space–time clustering of childhood cancers: a systematic review and pooled analysis
    Christian Kreis
    Eliane Doessegger
    Judith E. Lupatsch
    Ben D. Spycher
    European Journal of Epidemiology, 2019, 34 : 9 - 21