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Space-time clustering analyses of type 1 diabetes in children from north-east England: support for an infectious aetiology?

BACKGROUND: The aetiology of type 1 diabetes in children is uncertain. A number of recent studies have suggested an infectious aetiology. It has been postulated that an infectious agent may be involved. Support for this hypothesis may be provided by a finding of space-time clustering. The aims of th...

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Autores principales: McNally, Richard JQ, Pollock, Raymond, Court, Simon, Begon, Mike, Cheetham, Tim D
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2796492/
https://www.ncbi.nlm.nih.gov/pubmed/20102581
http://dx.doi.org/10.1186/1476-069X-8-S1-S14
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author McNally, Richard JQ
Pollock, Raymond
Court, Simon
Begon, Mike
Cheetham, Tim D
author_facet McNally, Richard JQ
Pollock, Raymond
Court, Simon
Begon, Mike
Cheetham, Tim D
author_sort McNally, Richard JQ
collection PubMed
description BACKGROUND: The aetiology of type 1 diabetes in children is uncertain. A number of recent studies have suggested an infectious aetiology. It has been postulated that an infectious agent may be involved. Support for this hypothesis may be provided by a finding of space-time clustering. The aims of this study were: (i) to determine whether there was space-time clustering in cases of childhood diabetes from north-east England; and to test for differences in space-time clustering: (ii) due to age at diagnosis; (iii) between the sexes and (iv) between levels of residential population density. METHODS: We studied incidence of type 1 diabetes diagnosed in children aged 0-14 years and diagnosed during the period 1990-2007. All cases were resident in a defined geographical region of north-east England (Northumberland, Newcastle upon Tyne and North Tyneside). We applied a second-order procedure based on K-functions to test for global clustering. Locations were residential addresses at time of diagnosis. Tests were repeated using nearest neighbour thresholds to allow for variable population density, providing the primary result for each analysis. Differences between sexes and between levels of population density were assessed. RESULTS: We analysed 457 cases of type 1 diabetes. Overall, there was marginally significant evidence of global space-time clustering (P = 0.089). There was statistically significant clustering amongst pairs of cases that contained at least one female (P = 0.017), but not amongst pairs of cases that contained at least one male (P = 0.190). Furthermore, there was significant clustering amongst pairs of cases that contained at least one from a more densely populated area (P = 0.044), but not amongst pairs of cases that contained at least one from a less densely populated area (P = 0.226). CONCLUSION: Although the analyses have only found marginally significant evidence of global space-time clustering for cases of type 1 diabetes diagnosed in north-east England, there were two notable findings. First, there was evidence of clustering amongst females and secondly clustering was confined to cases from more densely populated areas. These findings are consistent with a possible aetiological involvement of an infectious agent.
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spelling pubmed-27964922009-12-22 Space-time clustering analyses of type 1 diabetes in children from north-east England: support for an infectious aetiology? McNally, Richard JQ Pollock, Raymond Court, Simon Begon, Mike Cheetham, Tim D Environ Health Research BACKGROUND: The aetiology of type 1 diabetes in children is uncertain. A number of recent studies have suggested an infectious aetiology. It has been postulated that an infectious agent may be involved. Support for this hypothesis may be provided by a finding of space-time clustering. The aims of this study were: (i) to determine whether there was space-time clustering in cases of childhood diabetes from north-east England; and to test for differences in space-time clustering: (ii) due to age at diagnosis; (iii) between the sexes and (iv) between levels of residential population density. METHODS: We studied incidence of type 1 diabetes diagnosed in children aged 0-14 years and diagnosed during the period 1990-2007. All cases were resident in a defined geographical region of north-east England (Northumberland, Newcastle upon Tyne and North Tyneside). We applied a second-order procedure based on K-functions to test for global clustering. Locations were residential addresses at time of diagnosis. Tests were repeated using nearest neighbour thresholds to allow for variable population density, providing the primary result for each analysis. Differences between sexes and between levels of population density were assessed. RESULTS: We analysed 457 cases of type 1 diabetes. Overall, there was marginally significant evidence of global space-time clustering (P = 0.089). There was statistically significant clustering amongst pairs of cases that contained at least one female (P = 0.017), but not amongst pairs of cases that contained at least one male (P = 0.190). Furthermore, there was significant clustering amongst pairs of cases that contained at least one from a more densely populated area (P = 0.044), but not amongst pairs of cases that contained at least one from a less densely populated area (P = 0.226). CONCLUSION: Although the analyses have only found marginally significant evidence of global space-time clustering for cases of type 1 diabetes diagnosed in north-east England, there were two notable findings. First, there was evidence of clustering amongst females and secondly clustering was confined to cases from more densely populated areas. These findings are consistent with a possible aetiological involvement of an infectious agent. BioMed Central 2009-12-21 /pmc/articles/PMC2796492/ /pubmed/20102581 http://dx.doi.org/10.1186/1476-069X-8-S1-S14 Text en Copyright ©2009 McNally et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
McNally, Richard JQ
Pollock, Raymond
Court, Simon
Begon, Mike
Cheetham, Tim D
Space-time clustering analyses of type 1 diabetes in children from north-east England: support for an infectious aetiology?
title Space-time clustering analyses of type 1 diabetes in children from north-east England: support for an infectious aetiology?
title_full Space-time clustering analyses of type 1 diabetes in children from north-east England: support for an infectious aetiology?
title_fullStr Space-time clustering analyses of type 1 diabetes in children from north-east England: support for an infectious aetiology?
title_full_unstemmed Space-time clustering analyses of type 1 diabetes in children from north-east England: support for an infectious aetiology?
title_short Space-time clustering analyses of type 1 diabetes in children from north-east England: support for an infectious aetiology?
title_sort space-time clustering analyses of type 1 diabetes in children from north-east england: support for an infectious aetiology?
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2796492/
https://www.ncbi.nlm.nih.gov/pubmed/20102581
http://dx.doi.org/10.1186/1476-069X-8-S1-S14
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