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How Do Childhood Diagnoses of Type 1 Diabetes Cluster in Time?
BACKGROUND: Previous studies have indicated that type 1 diabetes may have an infectious origin. The presence of temporal clustering—an irregular temporal distribution of cases—would provide additional evidence that occurrence may be linked with an agent that displays epidemicity. We tested for the p...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3616033/ https://www.ncbi.nlm.nih.gov/pubmed/23573261 http://dx.doi.org/10.1371/journal.pone.0060489 |
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author | Muirhead, Colin R. Cheetham, Timothy D. Court, Simon Begon, Michael McNally, Richard J. Q. |
author_facet | Muirhead, Colin R. Cheetham, Timothy D. Court, Simon Begon, Michael McNally, Richard J. Q. |
author_sort | Muirhead, Colin R. |
collection | PubMed |
description | BACKGROUND: Previous studies have indicated that type 1 diabetes may have an infectious origin. The presence of temporal clustering—an irregular temporal distribution of cases—would provide additional evidence that occurrence may be linked with an agent that displays epidemicity. We tested for the presence and form of temporal clustering using population-based data from northeast England. MATERIALS AND METHODS: The study analysed data on children aged 0–14 years diagnosed with type 1 diabetes during the period 1990–2007 and resident in a defined geographical region of northeast England (Northumberland, Newcastle upon Tyne, and North Tyneside). Tests for temporal clustering by time of diagnosis were applied using a modified version of the Potthoff-Whittinghill method. RESULTS: The study analysed 468 cases of children diagnosed with type 1 diabetes. There was highly statistically significant evidence of temporal clustering over periods of a few months and over longer time intervals (p<0.001). The clustering within years did not show a consistent seasonal pattern. CONCLUSIONS: The study adds to the growing body of literature that supports the involvement of infectious agents in the aetiology of type 1 diabetes in children. Specifically it suggests that the precipitating agent or agents involved might be an infection that occurs in “mini-epidemics”. |
format | Online Article Text |
id | pubmed-3616033 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-36160332013-04-09 How Do Childhood Diagnoses of Type 1 Diabetes Cluster in Time? Muirhead, Colin R. Cheetham, Timothy D. Court, Simon Begon, Michael McNally, Richard J. Q. PLoS One Research Article BACKGROUND: Previous studies have indicated that type 1 diabetes may have an infectious origin. The presence of temporal clustering—an irregular temporal distribution of cases—would provide additional evidence that occurrence may be linked with an agent that displays epidemicity. We tested for the presence and form of temporal clustering using population-based data from northeast England. MATERIALS AND METHODS: The study analysed data on children aged 0–14 years diagnosed with type 1 diabetes during the period 1990–2007 and resident in a defined geographical region of northeast England (Northumberland, Newcastle upon Tyne, and North Tyneside). Tests for temporal clustering by time of diagnosis were applied using a modified version of the Potthoff-Whittinghill method. RESULTS: The study analysed 468 cases of children diagnosed with type 1 diabetes. There was highly statistically significant evidence of temporal clustering over periods of a few months and over longer time intervals (p<0.001). The clustering within years did not show a consistent seasonal pattern. CONCLUSIONS: The study adds to the growing body of literature that supports the involvement of infectious agents in the aetiology of type 1 diabetes in children. Specifically it suggests that the precipitating agent or agents involved might be an infection that occurs in “mini-epidemics”. Public Library of Science 2013-04-03 /pmc/articles/PMC3616033/ /pubmed/23573261 http://dx.doi.org/10.1371/journal.pone.0060489 Text en © 2013 Muirhead et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Muirhead, Colin R. Cheetham, Timothy D. Court, Simon Begon, Michael McNally, Richard J. Q. How Do Childhood Diagnoses of Type 1 Diabetes Cluster in Time? |
title | How Do Childhood Diagnoses of Type 1 Diabetes Cluster in Time? |
title_full | How Do Childhood Diagnoses of Type 1 Diabetes Cluster in Time? |
title_fullStr | How Do Childhood Diagnoses of Type 1 Diabetes Cluster in Time? |
title_full_unstemmed | How Do Childhood Diagnoses of Type 1 Diabetes Cluster in Time? |
title_short | How Do Childhood Diagnoses of Type 1 Diabetes Cluster in Time? |
title_sort | how do childhood diagnoses of type 1 diabetes cluster in time? |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3616033/ https://www.ncbi.nlm.nih.gov/pubmed/23573261 http://dx.doi.org/10.1371/journal.pone.0060489 |
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