The intracranial distribution of gliomas in relation to exposure from mobile phones: Analyses from the INTERPHONE study

Kathrine Grell*, Kirsten Frederiksen, Joachim Schüz, Elisabeth Cardis, Bruce Armstrong, Jack Siemiatycki, Daniel R. Krewski, Mary L. McBride, Christoffer Johansen, Anssi Auvinen, Martine Hours, Maria Blettner, Siegal Sadetzki, Susanna Lagorio, Naohito Yamaguchi, Alistair Woodward, Tore Tynes, Maria Feychting, Sarah J. Fleming, Anthony J. SwerdlowPer K. Andersen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


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 radiofrequency 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 selfreported 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.

Original languageEnglish
Pages (from-to)818-828
Number of pages11
JournalAmerican Journal of Epidemiology
Issue number11
StatePublished - 1 Dec 2016


  • Glioma
  • Intracranial distribution
  • Mobile telephones
  • Radio-frequency electromagnetic fields
  • Spatial point pattern


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