dc.contributor.author |
Grell, K |
en |
dc.contributor.author |
Frederiksen, K |
en |
dc.contributor.author |
Schüz, J |
en |
dc.contributor.author |
Cardis, E |
en |
dc.contributor.author |
Armstrong, B |
en |
dc.contributor.author |
Siemiatycki, J |
en |
dc.contributor.author |
Krewski, DR |
en |
dc.contributor.author |
McBride, ML |
en |
dc.contributor.author |
Johansen, C |
en |
dc.contributor.author |
Auvinen, A |
en |
dc.contributor.author |
Hours, M |
en |
dc.contributor.author |
Blettner, M |
en |
dc.contributor.author |
Sadetzki, S |
en |
dc.contributor.author |
Lagorio, S |
en |
dc.contributor.author |
Yamaguchi, N |
en |
dc.contributor.author |
Woodward, Alistair |
en |
dc.contributor.author |
Tynes, T |
en |
dc.contributor.author |
Feychting, M |
en |
dc.contributor.author |
Fleming, SJ |
en |
dc.contributor.author |
Swerdlow, AJ |
en |
dc.contributor.author |
Andersen, PK |
en |
dc.date.accessioned |
2017-02-08T01:08:33Z |
en |
dc.date.issued |
2016-12-01 |
en |
dc.identifier.citation |
American Journal of Epidemiology 184(11):818-828 01 Dec 2016 |
en |
dc.identifier.issn |
0002-9262 |
en |
dc.identifier.uri |
http://hdl.handle.net/2292/31766 |
en |
dc.description.abstract |
When investigating the association between brain tumors and use of mobile telephones, accurate data on tumor position are essential, due to the highly localized absorption of energy in the human brain from the radio-frequency fields emitted. We used a point process model to investigate this association using information that included tumor localization data from the INTERPHONE Study (Australia, Canada, Denmark, Finland, France, Germany, Israel, Italy, Japan, New Zealand, Norway, Sweden, and the United Kingdom). Our main analysis included 792 regular mobile phone users diagnosed with a glioma between 2000 and 2004. Similar to earlier results, we found a statistically significant association between the intracranial distribution of gliomas and the self-reported location of the phone. When we accounted for the preferred side of the head not being exclusively used for all mobile phone calls, the results were similar. The association was independent of the cumulative call time and cumulative number of calls. However, our model used reported side of mobile phone use, which is potentially influenced by recall bias. The point process method provides an alternative to previously used epidemiologic research designs when one is including localization in the investigation of brain tumors and mobile phone use. |
en |
dc.publisher |
Oxford University Press |
en |
dc.relation.ispartofseries |
American Journal of Epidemiology |
en |
dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. |
en |
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
en |
dc.title |
The Intracranial Distribution of Gliomas in Relation to Exposure From Mobile Phones: Analyses From the INTERPHONE Study |
en |
dc.type |
Journal Article |
en |
dc.identifier.doi |
10.1093/aje/kww082 |
en |
pubs.issue |
11 |
en |
pubs.begin-page |
818 |
en |
pubs.volume |
184 |
en |
dc.rights.holder |
Copyright: Oxford University Press |
en |
dc.identifier.pmid |
27810856 |
en |
pubs.end-page |
828 |
en |
pubs.publication-status |
Published online |
en |
dc.rights.accessrights |
http://purl.org/eprint/accessRights/RestrictedAccess |
en |
pubs.subtype |
Article |
en |
pubs.elements-id |
547148 |
en |
pubs.org-id |
Medical and Health Sciences |
en |
pubs.org-id |
Population Health |
en |
pubs.org-id |
Epidemiology & Biostatistics |
en |
dc.identifier.eissn |
1476-6256 |
en |
pubs.record-created-at-source-date |
2017-02-08 |
en |
pubs.online-publication-date |
2016-11-03 |
en |
pubs.dimensions-id |
27810856 |
en |