The aim of the current analysis was to investigate whether gliomas among mobile phone users are located closer to the presumed position of the mobile phone handset (the source of the radiofrequency field) than gliomas among nonusers.
The analysis was based on data from 7 European study centers (Denmark, Finland, Germany, Italy, Norway, Sweden, and Southeast England) within the Interphone Study.
Two types of analyses were used to evaluate the anatomic distribution of gliomas within the brain in relation to mobile phone use. The main exposure indicator in the analyses was the shortest estimated distance from the midpoint of the glioma to the presumed position of the mobile phone handset. The case-case analysis was based on comparing exposed and unexposed cases using the distance of ≤ 5 cm versus > 5 cm. A case-specular analysis contrasted the actual location of the case with a hypothetical (specular) location assigned for each case as a mirror image on the opposite side of the same hemisphere.
Regular use of a mobile phone was defined as at least once a week for at least six months.
|Reference group 1||never regular use|
|Group 2||regular use|
|Group 3||cumulative call time: 0.001 - 46 hours|
|Group 4||cumulative call time: 47 - 399 hours|
|Group 5||cumulative call time: > 399 hours|
|Group 6||duration of use: 1.5 - 4 years|
|Group 7||duration of use: 5 - 9 years|
|Group 8||duration of use: ≥ 10 years|
|Group 9||laterality: ipsilateral|
|Group 10||laterality: contralateral|
|Group 11||speculars: ipsilateral|
|Group 12||speculars: contralateral|
In the case-case analysis, gliomas were located closest to the source of exposure among never-regular and contralateral mobile phone users, but not statistically significantly. In the case-specular analysis, the mean distances between exposure source and glioma location were similar for cases and speculars.
The authors conclude that these results do not suggest that gliomas in mobile phone users are preferentially located in the parts of the brain with the highest radio-frequency fields from mobile phones.