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Epidemiology:
doi: 10.1097/01.ede.0000142519.00772.bf
Original Article

Mobile Phone Use and the Risk of Acoustic Neuroma

Lönn, Stefan*; Ahlbom, Anders*; Hall, Per†; Feychting, Maria*

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Author Information

From the *Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; and the †Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.

Editors’ note: A commentary on this article appears on page 651.

Submitted 16 June 2004; final version accepted 26 July 2004.

Sources of financial support: European Union Fifth Framework Program, “Quality of Life and Management of living Resources” (contract QLK4-CT-1999-01563), the Swedish Research Council, and the International Union against Cancer (UICC).

Correspondence: Stefan Lönn, Institute of Environmental Medicine, Karolinska Institutet, Box 210, S-171 77 Stockholm, Sweden. E-mail: Stefan.Lonn@imm.ki.se

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Abstract

Background: Radiofrequency exposure from mobile phones is concentrated to the tissue closest to the handset, which includes the auditory nerve. If this type of exposure increases tumor risk, acoustic neuroma would be a potential concern.

Methods: In this population-based case-control study we identified all cases age 20 to 69 years diagnosed with acoustic neuroma during 1999 to 2002 in certain parts of Sweden. Controls were randomly selected from the study base, stratified on age, sex, and residential area. Detailed information about mobile phone use and other environmental exposures was collected from 148 (93%) cases and 604 (72%) controls.

Results: The overall odds ratio for acoustic neuroma associated with regular mobile phone use was 1.0 (95% confidence interval = 0.6–1.5). Ten years after the start of mobile phone use the estimates relative risk increased to 1.9 (0.9–4.1); when restricting to tumors on the same side of the head as the phone was normally used, the relative risk was 3.9 (1.6–9.5).

Conclusions: Our findings do not indicate an increased risk of acoustic neuroma related to short-term mobile phone use after a short latency period. However, our data suggest an increased risk of acoustic neuroma associated with mobile phone use of at least 10 years’ duration.

If radiofrequency exposure from mobile phone use increases the risk of cancer, acoustic neuroma would be of potential concern. The exposure from mobile phones is concentrated in the head close to the handset; exposure is relatively high only for the glial and meningeal tissue closest to the surface of the head, the parotid gland, and the vestibular portion of the eighth cranial nerve where acoustic neuromas arise.1,2 Six studies have investigated the association between mobile phone use and acoustic neuroma, with inconsistent results.3–8 All available studies are limited by a small number of exposed cases and a short follow-up since the time hand-held mobile phones first became available.

In Sweden, mobile phone use became common in the general population relatively early; handheld mobile phones were introduced at the end of the 1980s with an exponential increase of users during the 1990s.9 Slightly less than 6% of the population used mobile phones in 1990, 23% in 1995, and over 80% today. Therefore, a study based on the Swedish population will have a large proportion of long-term users, which is crucial for the possibility of detecting any increased risk of tumors related to long-term mobile phone use. The study reported here is part of the INTERPHONE study,10 an international collaborative case-control study of brain tumors, acoustic neuroma, and parotid gland tumors in relation to mobile phone use. We report here results for acoustic neuroma; results for the other outcomes will be reported separately.

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Study Population

A population-based case-control study was conducted including all persons age 20 to 69 years who were residents of 3 geographical areas covered by the regional Cancer Registries in Stockholm, Göteborg, and Lund (a population totaling 3.1 million). The study was approved by the Ethical Committee at Karolinska Institutet.

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Case Ascertainment

Eligible cases were all subjects diagnosed with acoustic neuroma (ICD-10 C72.4 and ICD-O-2 9560.0) during the period from 1 September 1999 to 31 August 2002 in the areas covered by the Lund and Göteborg Cancer Registries and from 1 January 2000 to 31 August 2002 in the Stockholm Cancer Registry area.

Cases were identified continuously during the study period through collaboration with the neurosurgery, oncology, neurology, and otorhinolaryngology clinics at all hospitals in the study areas. Trained research nurses and a psychologist visited these clinics every week to assist in the identification of eligible patients. For each case, the date when the case was identified was registered. To ensure full coverage of cases, we searched the regional cancer registries approximately every 3 months for cases missed at the clinics. We identified a total of 160 eligible acoustic neuroma cases, with 10% (n = 16) identified from the cancer registry.

Medical records for all cases were examined to confirm the diagnosis to establish date of diagnosis (defined as the first medical examination leading to the diagnosis, usually when the first x-ray was taken), and to determine on which side of the head the tumor occurred. This was made without knowledge about the subjects’ mobile phone habits. We used date of diagnosis as the reference date for exposure calculations.

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Control Selection

Controls were randomly selected from the study base stratified on age (in 5-year groups), sex, and residential area (4 regional cancer registry areas). Approximately every 2 months during the study period we selected controls from the continuously updated registry of the Swedish population. The required number of controls per case was stipulated by the common core protocol for the INTERPHONE study (1 per brain tumor case, 2 per acoustic neuroma case, and 3 per parotid gland tumor case); we used the entire set of controls in the present study. In total 838 controls were identified. We defined the reference date for controls as the date when the control was identified, adjusted for the average time difference between date of diagnosis and date of identification of the cases within the same matching stratum to ensure a comparable length of follow-up for cases and controls.

For both cases and controls, we excluded subjects who were completely deaf prior to the reference date or who did not possess the intellectual and language skills necessary to complete an interview.

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Data Collection

Data collection began in September 2000, which means that cases occurring during the first year (6 months in Stockholm) were identified retrospectively. Before contacting the patients, we sought permission from the physician responsible for the treatment of the patient or from the head of the clinic. Two cases died before the first contact, and for those we asked for permission to contact the closest relative as a proxy respondent.

All interviews and contacts with cases and controls were made by nurses or a psychologist employed for this purpose. Most cases and controls were contacted by phone to arrange a time for a personal interview. Some cases were contacted in person directly at the clinic. Study subjects were approached as soon as possible after being identified. Subjects who could not participate in a personal interview were offered a telephone interview instead. Those who refused participation in any kind of interview were asked to answer a mailed questionnaire. The 16-page mailed questionnaire included selected parts of the personal interview, sufficient to perform analyses of mobile phone exposure with proper confounding control.

The computer-guided interview collected information about environmental exposures (including mobile phone use). The interviewer entered the responses directly into the computer. All interviewers were provided with cards displaying photographs of mobile phones with information about make, models, and year of introduction. Interviews lasted on average 46 minutes.

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Exposure Assessment

Study subjects were asked whether they had ever used a mobile phone, and if they were “regular” users (defined as use of a mobile phone on average once per week during 6 months or more). Regular users were also asked about how many different mobile phones they had used. For each phone, questions were asked about the dates they started and stopped using the phone, the make and model, operator, the duration and number of calls, and changes in their habits of use. The subjects were further asked about use of hands-free equipment and where the majority of calls were made (urban, suburban, or rural areas). The interview also included questions about which side of the head the subject generally held the mobile phone, and about which hand they typically used.

We defined as unexposed those subjects who reported never or only occasionally (“not regularly”) using a mobile phone. Exposure within one year of the reference date was not considered. The number of years of regular mobile phone use was categorized into less than 5 years, 5–9 years, and 10 years or more. The same categorization was used for time since first regular use. We calculated cumulative time of mobile phone use, categorized into less than 30 hours, 30–449 hours, and 450 hours or more (cut points at approximately the 25th and 75th percentile for controls). The cumulative number of mobile phone calls was calculated and categorized into less than 625 calls, 625–7349 calls, and 7350 calls or more (cut points at approximately the 25th and 75th percentile for controls). Use of analog and digital mobile phones was also analyzed separately.

Use of hands-free devices for mobile phones reduces the amount of exposure from the phone to the head. In our analysis of cumulative hours of use, we reduced the cumulative time depending on estimated use of a hands-free device. Time periods for which the person reported “almost always using a hands-free device” was considered as unexposed. For periods when a hands-free device was used during more than half of the calling time, 75% of the time was excluded; when a hands-free device was used during half of the calling time, 50% of the used time was excluded; when a hands-free device was used during less than half of the calling time, 25% of the time was excluded from the cumulative hours of use.

Mobile phones were more frequently used on the right side of the head; among the controls, 52% generally held the mobile phone on the right side, 39% on the left side, and approximately 10% reported use on both sides. To analyze the possible association between laterality of phone use and laterality of tumors, the left and right sides were considered separately. Cases were divided into a left-side and a right-side group depending on the localization of the tumor. Controls were randomly assigned, within each strata of the stratification variables (age, sex, residential area), to either the left or the right side group. For both cases and controls, exposure was defined as ipsilateral phone use or use of the phone on both sides, whereas contralateral use was considered unexposed. Side-specific relative risk estimates were calculated, which then was pooled into one relative risk estimate. To test for potential recall bias that would occur if cases overestimate ipsilateral use, similar analyses were made where contralateral phone use or use on both sides was considered exposed and ipsilateral use was considered unexposed.

In addition to mobile phones, we analyzed whether the use of DECT phones (Digital European Cordless Communication) increases the risk of acoustic neuroma. These are cordless phones that communicate with antennas located within ranges up to 500 meters. Regular DECT phone use was defined using the same criteria as regular mobile phone use.

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Confounders and Effect Modifiers

All analyses were adjusted for age, sex, residential area, and educational level categorized into 4 groups: compulsory school (up to 9-year education), vocational or secondary school, upper secondary school, and university. Furthermore, adjustment was made for hearing loss or tinnitus 5 years before the reference date; we also made separate analyses according to hearing ability.

The radiofrequency exposure from a mobile phone is directly related to the output power level used by the phone to communicate with the base station. There are indications that output power levels are higher in rural than in urban areas.11 Therefore, separate analyses were performed for subjects reporting that they mainly used the mobile phone in urban areas, mainly in rural areas, and in both urban and rural areas.

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Statistical Analysis

We estimated associations between indicators of radiofrequency exposure from mobile phone use and acoustic neuroma as relative risks, calculated as odds ratios (ORs) using unconditional logistic regression models,12 with 95% confidence intervals (CIs).

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RESULTS

Table 1 presents basic characteristics of cases and controls. Participation rates were 93% (n = 148) for cases and 72% for controls (n = 604). Face-to-face interviews provided exposure information for the majority of cases and controls; 5% of both cases and controls were interviewed over the phone, and 1% of cases and 7% of controls answered the mailed questionnaire. Results were unchanged after excluding answers through mailed questionnaires (data not shown). Reasons for nonparticipation included refusal (cases 4%; controls 16%), illness (cases 1%; controls 2%), and failure to contact the study subjects (cases 2%; controls 11%). Fifty-eight cases (39%) were histologically verified from histopathological reports. Cases that were not histologically verified were diagnosed by CT or MRI.

Table 1
Table 1
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Table 2 displays the results for various categories of mobile phone use. Odds ratios did not differ between men and women, and therefore results are presented for all subjects combined. For regular use, regardless of duration, the relative risk was estimated to be 1.0 (95% CI = 0.6–1.5). We found a modest increased risk for mobile phone use of at least 10 years duration, and when phone use started at least 10 years before diagnosis. Risk estimates were close to 1.0 for regular use of less than 10 years, or when mobile phone use started less than 10 years before diagnosis.

Table 2
Table 2
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For ipsilateral mobile phone use (Table 3) of at least 10 years since first use the odds ratio for acoustic neuroma was 3.9 (1.6–9.5). The corresponding result for contralateral use was 0.8 (0.2–2.9). Similar results were found for at least 10 years’ duration of use. Side-specific estimates were unstable because of a small number of cases on each side, but risk was increased for tumors on both the left and the right side; for at least 10 years since first use, the estimated relative risk was 4.8 (1.1–20.1) for the left side and 3.8 (95% CI 1.2–11.6) for the right side. The risks were close to 1.0 for both ipsilateral and contralateral use of mobile phones when duration of phone use was not taken into account.

Table 3
Table 3
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The risk estimates did not increase with amount of use estimated as either cumulative number of hours or cumulative number of calls (Table 2). The risk for use of digital phones was close to 1.0, whereas for use of analog phones the odds ratio was 1.6 (0.9–2.8). Adjustment for hearing loss or tinnitus did not change any of the risk estimates, and therefore hearing impairment is not included in the final analyses presented here. Furthermore, results did not differ between subjects reporting hearing loss or tinnitus 5 years before the reference date and those without hearing impairment (results not shown).

For subjects using mobile phones mainly in rural areas, the risk estimate was 0.7 (0.3–1.6), mainly in urban areas 1.4 (0.9–2.3), and in both urban and rural areas 0.7 (0.4–1.2). Similar results were found for 5 years’ duration of use (results not shown).

Regular use of DECT phones was associated with an odds ratio for acoustic neuroma of 0.7 (0.4–1.2).

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DISCUSSION

In this study we observed an increased risk of acoustic neuroma for mobile phone use of at least 10 years’ duration. The observed association was strongest for tumors on the same side of the head as the phone was normally used. For short-term mobile phone use and a short latency period our results do not indicate any risk increase, regardless of tumor or mobile phone laterality.

Our results for short-term use are in agreement with the majority of previous studies.3–6,8 The only study7 that has reported an increased risk of acoustic neuroma among short-term mobile phone users has been criticized for limitations in methods, analysis, and presentation of the study.13 All previous studies have few subjects with long term exposures, including the recently published Danish case-control study,8 which is also part of the INTERPHONE project. Table 4 displays the results and number of exposed cases in previous studies for the longest duration of exposure reported. Our study and the Danish case-control study used the same study protocol, and the results from the 2 studies are very similar for short-term mobile phone use. However, the Danish study had few subjects with at least 10 years since first exposure. Thus, none of the previous studies has had sufficient power to study effects of long-term mobile phone use or a long latency. The 2 US studies4,6 found slightly increased risks in the group with longest duration of phone use, on the same order of magnitude as in this study, but these results are less stable, and laterality analyses did not take duration of exposure into account. The hospital-based control selection in these studies is also a limitation.

Table 4
Table 4
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The Danish study8 and the 2 US studies4,6 used a laterality analysis restricted to cases only when describing the association between laterality of the tumor and laterality of phone use. Such an analysis assumes that tumors are equally likely to occur on the left and the right side in the absence of mobile phone exposure.4 In our study, however, 59% of the acoustic neuroma cases were right side tumors; other data also indicate an uneven distribution. For this reason we randomly distributed our controls into 2 control groups, and analyzed left side and right side tumors separately. Thus, these laterality analyses can be viewed as 2 separate case-control studies, where exposure in one study was defined as mobile phone use on the left side of the head, and in the other defined as right side use. The results from the 2 studies were pooled into one risk estimate.

We observed indications of an increased risk with use of analog phones, whereas results for digital phones showed no risk. Because analog phones are the only type of phone that have been used for more than 10 years, it was not possible to separate the effect of type of phone and duration of use. Furthermore, separate analyses of analog phone users have methodological problems, because almost all analog users are also users of digital phones and thereby exposed to radiofrequency fields from both digital and analog phones.

There are alternative explanations for the positive findings. Differential misclassification of the exposure is an obvious problem since mobile phone use is self-reported, and recall bias is a potential problem especially for long-term users. However, there are no indications of recall bias in the analyses of laterality of phone use; the slightly reduced risk for contralateral mobile phone use can explain only a small portion of the risk observed with ipsilateral use. If one case is moved from ipsilateral to contralateral use, the relative risk for contralateral use would be close to 1.0. Thus, random variation is an alternative explanation for the reduced risk associated with contralateral mobile phone use.

There is also a possibility of differential misclassification of the disease. A common symptom of acoustic neuroma is hearing impairment, and mobile phone use on the same side of the head as the tumor occurred might lead to an earlier detection of the tumor because of difficulty hearing when talking on the phone. However, this would also affect mobile phone users with a shorter duration of mobile phone use; to explain the increased risk among long-term mobile phone users in this study some additional factor would have to be in operation.

We found no association between acoustic neuroma and amount of use measured as cumulative number of hours or total number of calls. There was a poor correlation between the number of years since first use and amount of use; many individuals who started to use a mobile phone during recent years are heavy users. There is also evidence that people tend to overestimate their amount of use, and the correlation between subjective reports about amount of use and what was registered by the operator is low.15 Therefore, there is probably substantial nondifferential misclassification of the measures of amount of use.

This study is population-based, with a rapid ascertainment of cases through active participation by all clinics involved in the treatment of acoustic neuroma. Control selection continuously throughout the study period and adjustment of their reference dates ensured that controls did not have a longer opportunity for exposure than cases. The participation rate was lower among controls compared with cases, which could have introduced selection bias. If mobile phone users are more willing to participate than nonusers, the risk might be underestimated. To test this possibility, subjects who declined participation when contacted by phone were asked if they had regularly used a mobile phone, and among controls in this group the proportion of regular users was 33% compared with 59% among participating controls. On the other hand, only 16% of the nonparticipants answered this question. Among those who we were unable to contact, mobile phone use might be more prevalent; these subjects were either not at home when we on numerous occasions tried to reach them or had unlisted telephone numbers. The phone directory used for the study includes both ordinary phone numbers and mobile phones. However, people tend to change their mobile phone number more often, and therefore the information for mobile phones may not be as up-to-date. The effect of selection bias due to nonparticipation is likely to be marginal.

The etiology of acoustic neuroma is largely unknown, and only a few epidemiologic studies are available. The dominantly inherited disorder neurofibromatosis type 2 is associated with acoustic neuroma,16 but can only explain a small minority of the cases. Ionizing radiation exposure is the only established exogenous risk factor for acoustic neuroma, shown in studies of survivors of the atomic bombings in Japan17 and of subjects going through radiation treatment of tinea capitis during childhood.18 Other suggested causes include an increased risk associated with extremely loud noise at work19 and female hormones.20 Exposure to loud noise is a potential confounder in a study of mobile phone use because hearing loss could be related to an early diagnosis of the tumors and also related to mobile phone use. However, adjustment for hearing loss or tinnitus in our analyses did not change any of the risk estimates, and the results did not differ between subjects reporting hearing loss or tinnitus 5 years before the reference date and those without hearing impairment. Moreover, social class might be considered as a confounder and we therefore adjusted for education in all analyses.

Acoustic neuroma is a slow-growing benign tumor, and it is likely that many of the cases had the tumor several years before first clinical diagnosis. The mean delay from the appearance of the first symptom until the diagnosis has been reported to be more than 5 years.21 Our data with higher frequency of hearing loss 5 years before diagnosis among cases (30%) than controls (20%) support this. It is therefore very difficult to predict the actual length of a latency period. Among cases with short-term mobile phone use, the tumor could have been present before the start of mobile phone use. Considering that the bulk of new users have come during the last few years, it is not surprising that the overall risk for acoustic neuroma associated with mobile phone use is close to 1.0. Even if our results do not indicate any risk increase after short-term mobile phone use, we cannot exclude the possibility that short-term exposure has an effect that can be detected only after a long latency period. People who started to use a mobile phone early tend also to be long-term users, and therefore we cannot separate the effect of short-term use with a long latency period from the effect of long-term use.

In conclusion, our findings do not indicate any increased risk of acoustic neuroma related to short-term mobile phone use after a short latency period. However, our data suggest an increased risk of acoustic neuroma for mobile phone use of at least 10 years’ duration.

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ACKNOWLEDGMENTS

We acknowledge funding from the European Union Fifth Framework Program, “Quality of Life and Management of Living Resources” (contract QLK4-CT-1999-01563), the Swedish Research Council, and the International Union against Cancer (UICC). The UICC received funds for this study from the Mobile Manufacturers’ Forum and GSM Association. Provision of funds to the INTERPHONE study investigators via the UICC was governed by agreements that guaranteed INTERPHONE's complete scientific independence. These agreements are publicly available at http://www.iarc.fr/pageroot/UNITS/RCA4.html.

We thank the Cancer Registries for their collaboration. We also thank the research nurses for skillful work.

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Bioelectromagnetics
Exposure of rat brain to 915 MHz GSM microwaves induces changes in gene expression but not double stranded DNA breaks or effects on chromatin conformation
Belyaev, IY; Koch, CB; Terenius, O; Roxstrom-Lindquist, K; Malmgren, LOG; Sommer, WH; Salford, LG; Persson, BRR
Bioelectromagnetics, 27(4): 295-306.
10.1002/bem.20216
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Journal of the National Cancer Institute
Re: Cellular telephone use and cancer risk: Update of a nationwide Danish cohort study
Ahlbom, A; Feychting, M; Cardis, E; Elliott, P
Journal of the National Cancer Institute, 99(8): 655.
10.1093/jnci/djk143
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Auris Nasus Larynx
Effects of extremely low frequency electromagnetic fields on distortion product otoacoustic emissions in rabbits
Budak, B; Budak, GG; Ozturk, GG; Muluk, NB; Apan, A; Seyhan, N
Auris Nasus Larynx, 36(3): 255-262.
10.1016/j.anl.2008.04.011
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International Journal of Radiation Biology
Mobile phones, mobile phone base stations and cancer: a review
Moulder, JE; Foster, KR; Erdreich, LS; McNamee, JP
International Journal of Radiation Biology, 81(3): 189-203.
10.1080/09553000500091097
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Journal of Physical Chemistry B
Electric field effects on insulin chain-B conformation
Budi, A; Legge, FS; Treutlein, H; Yarovsky, I
Journal of Physical Chemistry B, 109(): 22641-22648.
10.1021/jp052742q
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Radiation Research
Factors that influence the radiofrequency power output of GSM mobile phones
Erdreich, LS; Van Kerkhove, MD; Scrafford, CG; Barraj, L; McNeely, M; Shum, M; Sheppard, AR; Kelsh, M
Radiation Research, 168(2): 253-261.

Environnement Risques & Sante
Validation of the questionnaire used in the INTERPHONE study: Measuring mobile telephone use in France
Hours, M; Montestrucq, L; Arslan, M; Bernard, M; El Hadimoussa, H; Vrijheid, M; Deltour, I; Cardis, E
Environnement Risques & Sante, 6(2): 101-109.
10.1684/ers.2007.0035
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Bioelectromagnetics
No Effects of UMTS Exposure on the Function of Rat Outer Hair Cells
Galloni, P; Lopresto, V; Parazzini, M; Pinto, R; Piscitelli, M; Ravazzani, P; Marino, C
Bioelectromagnetics, 30(5): 385-392.
10.1002/bem.20483
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Bioelectromagnetics
Study of subgridding in SAR computation for the cochlea
Kopecky, R; Hamnerius, Y; Persson, M
Bioelectromagnetics, 26(6): 520-522.
10.1002/bem.20160
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American Journal of Epidemiology
Exposure to loud noise and risk of acoustic neuroma
Edwards, CG; Schwartzbaum, JA; Lonn, S; Ahlbom, A; Feychting, M
American Journal of Epidemiology, 163(4): 327-333.
10.1093/aje/kwj044
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British Journal of Cancer
Reply: Mobile phone use and acoustic neuroma in five North European countries
Schoemaker, MJ; Swerdlow, AJ; Auvinen, A; Cardis, E; Feychting, M; Johansen, C; McKinney, PA; Tynes, T
British Journal of Cancer, 94(9): 1352-1353.
10.1038/sj.bjc.6603071
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Health Risk & Society
Mobile phones and health: Media coverage study of German newspapers on possible adverse health effects of mobile phone use
Elvers, HD; Jandrig, B; Grummich, K; Tannert, C
Health Risk & Society, 11(2): 165-179.
10.1080/13698570902784273
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Journal of Paediatrics and Child Health
Predictors of mobile telephone use and exposure analysis in Australian adolescents
Inyang, I; Benke, G; Dimitriadis, C; Simpson, P; McKenzie, R; Abramson, M
Journal of Paediatrics and Child Health, 46(5): 226-233.
10.1111/j.1440-1754.2009.01675.x
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Ieee Antennas and Propagation Magazine
Can cell phones promote brain tumors: The INTERPHONE study?
Lin, JC
Ieee Antennas and Propagation Magazine, 47(2): 137-138.

International Journal of Oncology
Pooled analysis of two case-control studies on the use of cellular and cordless telephones and the risk of benign brain tumours diagnosed during 1997-2003
Hardell, L; Carlberg, M; Mild, KH
International Journal of Oncology, 28(2): 509-518.

Archives of Disease in Childhood
How dangerous are mobile phones, transmission masts, and electricity pylons?
Wood, AW
Archives of Disease in Childhood, 91(4): 361-366.
10.1136/adc.2005.072561
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Scandinavian Journal of Work Environment & Health
Meta-analysis of mobile phone use and intracranial tumors
Lahkola, A; Tokola, K; Auvinen, A
Scandinavian Journal of Work Environment & Health, 32(3): 171-177.

Occupational and Environmental Medicine
Can loud noise cause acoustic neuroma? Analysis of the INTERPHONE study in France
Hours, M; Bernard, M; Arslan, M; Montestrucq, L; Richardson, L; Deltour, I; Cardis, E
Occupational and Environmental Medicine, 66(7): 480-486.
10.1136/oem.2008.042101
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American Journal of Epidemiology
Risk of brain tumors associated with exposure to exogenous female sex hormones
Wigertz, A; Lonn, S; Mathiesen, T; Ahlbom, A; Hall, P; Feychting, M
American Journal of Epidemiology, 164(7): 629-636.
10.1093/aje/kwj254
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Bioelectromagnetics
Electromagnetic Fields and Epidemiology: An Overview Inspired by the Fourth Course at the International School of Bioelectromagnetics
Schuz, J; Lagorio, S; Bersani, F
Bioelectromagnetics, 30(7): 511-524.
10.1002/bem.20510
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Occupational and Environmental Medicine
Validation of short term recall of mobile phone use for the Interphone study
Vrijheid, M; Cardis, E; Armstrong, BK; Auvinen, A; Berg, G; Blaasaas, KG; Brown, J; Carroll, M; Chetrit, A; Christensen, HC; Deltour, I; Feychting, M; Giles, GG; Hepworth, SJ; Hours, M; Iavarone, I; Johansen, C; Klaeboe, L; Kurttio, P; Lagorio, S; Lonn, S; McKinney, PA; Montestrucq, L; Parslow, RC; Richardson, L; Sadetzki, S; Salminen, T; Schuz, J; Tynes, T; Woodward, A
Occupational and Environmental Medicine, 63(4): 237-243.
10.1136/oem.2004.019281
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Journal of Exposure Science and Environmental Epidemiology
The effects of recall errors and of selection bias in epidemiologic studies of mobile phone use and cancer risk
Vrijheid, M; Deltour, I; Krewski, D; Sanchez, M; Cardis, E
Journal of Exposure Science and Environmental Epidemiology, 16(4): 371-384.
10.1038/sj.jes.7500509
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Turkiye Klinikleri Tip Bilimleri Dergisi
The Effect of Cellular Phone on Cancer: Review
Toyran, N
Turkiye Klinikleri Tip Bilimleri Dergisi, 28(6): 933-941.

Bmc Medical Research Methodology
How well do adolescents recall use of mobile telephones? Results of a validation study
Inyang, I; Benke, G; Morrissey, J; McKenzie, R; Abramson, M
Bmc Medical Research Methodology, 9(): -.
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Radiation Protection Dosimetry
EXPOSURE TO LOW LEVEL GSM 935 MHz RADIOFREQUENCY FIELDS DOES NOT INDUCE APOPTOSIS IN PROLIFERATING OR DIFFERENTIATED MURINE NEUROBLASTOMA CELLS
Moquet, J; Ainsbury, E; Bouffler, S; Lloyd, D
Radiation Protection Dosimetry, 131(3): 287-296.
10.1093/rpd/ncn171
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Journal of Clinical Oncology
Mobile Phone Use and Risk of Tumors: A Meta-Analysis
Myung, SK; Ju, W; McDonnell, DD; Lee, YJ; Kazinets, G; Cheng, CT; Moskowitz, JM
Journal of Clinical Oncology, 27(): 5565-5572.
10.1200/JCO.2008.21.6366
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American Journal of Epidemiology
Long-term mobile phone use and brain tumor risk
Lonn, S; Ahlbom, A; Hall, P; Feychting, M
American Journal of Epidemiology, 161(6): 526-535.
10.1093/aje/kwi091
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Ieee Microwave Magazine
Is there a brain tumor risk from cell phone use?
Lin, JC
Ieee Microwave Magazine, 6(3): 28-+.

British Medical Journal
Mobile phone use and risk of glioma in adults: case-control study
Hepworth, SJ; Schoemaker, MJ; Muir, KR; Swerdlow, AJ; van Tongeren, MJA; McKinney, PA
British Medical Journal, 332(): 883-886.
10.1136/bmj.38720.687975.55
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Bioelectromagnetics
915 MHz microwaves and 50 Hz magnetic field affect chromatin conformation and 53BP1 foci in human lymphocytes from hypersensitive and healthy persons
Belyaev, IY; Hillert, L; Protopopova, M; Tamm, C; Malmgren, LOG; Persson, BRR; Selivanova, G; Harms-Ringdahl, M
Bioelectromagnetics, 26(3): 173-184.
10.1002/bem.20103
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Ieee Antennas and Propagation Magazine
The risk of acoustic neuromas from using cell phones
Lin, JC
Ieee Antennas and Propagation Magazine, 47(1): 183-185.

Electromagnetic Biology and Medicine
Effects of intensive and moderate cellular phone use on hearing function
Oktay, MF; Dasdag, S
Electromagnetic Biology and Medicine, 25(1): 13-21.
10.1080/15368370600572938
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Journal of Laryngology and Otology
Do mobile 'phones have a detrimental impact on auditory function?
Khalil, S; Nunez, DA
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10.1017/S0022215106001460
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Journal of the National Cancer Institute
Cellular telephone use and cancer risk: Update of a nationwide Danish cohort
Schuz, J; Jacobsen, R; Olsen, JH; Boice, JD; McLaughlin, JK; Johansen, C
Journal of the National Cancer Institute, 98(): 1707-1713.
10.1093/jnci/djj464
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Bioelectromagnetics
A comparison of self-reported cellular telephone use with subscriber data: Agreement between the two methods and implications for risk estimation
Schuz, J; Johansen, C
Bioelectromagnetics, 28(2): 130-136.
10.1002/bem.20297
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Ieee Microwave Magazine
Benign tumors of the auditoty nerve from using cell phones
Lin, JC
Ieee Microwave Magazine, 6(2): 28-+.

International Journal of Cancer
Medical history, cigarette smoking and risk of acoustic neuroma: An international case-control study
Schoemaker, MJ; Swerdlow, AJ; Auvinen, A; Christensen, HC; Feychting, M; Johansen, C; Klaeboe, L; Lonn, S; Salminen, T; Tynes, T
International Journal of Cancer, 120(1): 103-110.
10.1002/ijc.22272
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American Journal of Epidemiology
Cellular phone use and risk of benign and malignant parotid gland tumors - A nationwide case-control study
Sadetzki, S; Chetrit, A; Jarus-Hakak, A; Cardis, E; Deutch, Y; Duvdevani, S; Zultan, A; Novikov, I; Freedman, L; Wolf, M
American Journal of Epidemiology, 167(4): 457-467.
10.1093/aje/kwm325
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Proceedings of Light-Activated Tissue Regeneration and Therapy Conference
Electroencephalogram Changes Caused by Mobile Phones a Protective Device
Mbonu, N; Weiler, E; Schroeter, C
Proceedings of Light-Activated Tissue Regeneration and Therapy Conference, 12(): 315-325.

Environmental Health Perspectives
The Controversy about a Possible Relationship between Mobile Phone Use and Cancer
Kundi, M
Environmental Health Perspectives, 117(3): 316-324.
10.1289/ehp.11902
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Surgical Neurology
Cell phones and brain tumors: a review including the long-term epidemiologic data
Khurana, VG; Teo, C; Kundi, M; Hardell, L; Carlberg, M
Surgical Neurology, 72(3): 205-214.
10.1016/j.surneu.2009.01.019
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Neuroepidemiology
Case-control study on cellular and cordless telephones and the risk for acoustic neuroma or meningioma in patients diagnosed 2000-2003
Hardell, L; Carlberg, M; Mild, KH
Neuroepidemiology, 25(3): 120-128.
10.1159/000086354
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European Journal of Cancer
Environmental risk factors for sporadic acoustic neuroma (Interphone Study Group, Germany)
Schlehofer, B; Schlaefer, K; Blettner, M; Berg, G; Bohler, E; Hettinger, I; Kunna-Grass, K; Wahrendorf, J; Schuz, J
European Journal of Cancer, 43(): 1741-1747.
10.1016/j.ejca.2007.05.008
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International Journal of Oncology
Meta-analysis of long-term mobile phone use and the association with brain tumours
Hardell, L; Carlberg, M; Soderqvist, F; Mild, KH
International Journal of Oncology, 32(5): 1097-1103.

Neuro-Oncology
Descriptive epidemiology of vestibular schwannomas
Propp, JM; McCarthy, BJ; Davis, FG; Preston-Martin, S
Neuro-Oncology, 8(1): 1-11.
10.1215/S1522851704001097
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Bioelectromagnetics
Oxidative stress effects on the central nervous system of rats after acute exposure to ultra high frequency electromagnetic fields
Ferreira, AR; Bonatto, F; Pasquali, MAD; Polydoro, M; Dal-Pizzoi, F; Fernandez, C; de Salles, AAA; Moreira, JCF
Bioelectromagnetics, 27(6): 487-493.
10.1002/bem.20233
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Electromagnetic Biology and Medicine
Effect of Mobile Phone Exposure on Apoptotic Glial Cells and Status of Oxidative Stress in Rat Brain
Dasdag, S; Akdag, MZ; Ulukaya, E; Uzunlar, AK; Ocak, AR
Electromagnetic Biology and Medicine, 28(4): 342-354.
10.3109/15368370903206556
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American Journal of Epidemiology
Occupational noise exposure and risk of acoustic neuroma
Edwards, CG; Schwartzbaum, JA; Nise, G; Forssen, UM; Ahlbom, A; Lonn, S; Feychting, M
American Journal of Epidemiology, 166(): 1252-1258.
10.1093/aje/kwm217
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Bmc Public Health
Assessment of potential effects of the electromagnetic fields of mobile phones on hearing
Uloziene, I; Uloza, V; Gradauskiene, E; Saferis, V
Bmc Public Health, 5(): -.
ARTN 39
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Occupational and Environmental Medicine
Mobile phone use and acoustic neuroma risk in Japan
Takebayashi, T; Akiba, S; Kikuchi, Y; Taki, M; Wake, K; Watanabe, S; Yamaguchi, N
Occupational and Environmental Medicine, 63(): 802-807.
10.1136/oem.2006.028308
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Journal of the National Cancer Institute
Re: Cellular telephone use and cancer risk: Update of a nationwide Danish cohort study - Response
Schuz, J; Jacobsen, R; Olsen, JH; Boice, JD; McLaughlin, JK; Johansen, C
Journal of the National Cancer Institute, 99(8): 655-656.

Pathologie Biologie
Neurophysiologic effects at low level 1.8 GHz radiofrequency field exposure: a multiparametric approach on freely moving rats
Crouzier, D; Debouzy, JC; Bourbon, F; Collin, A; Perrin, A; Testylier, G
Pathologie Biologie, 55(): 134-142.
10.1016/j.patbio.2006.06.607
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Occupational and Environmental Medicine
Long-term use of cellular phones and brain tumours: increased risk associated with use for >= 10 years
Hardell, L; Carlberg, M; Soderqvist, F; Mild, KH; Morgan, LL
Occupational and Environmental Medicine, 64(9): 626-632.
10.1136/oem.2006.029751
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Ieee Transactions on Biomedical Engineering
Effects of 900-MHz radio frequencies on the chemotaxis of human neutrophils in vitro
Aly, AA; Cheema, MI; Tambawala, M; Laterza, R; Zhou, E; Rathnabharathi, K; Barnes, FS
Ieee Transactions on Biomedical Engineering, 55(2): 795-797.
10.1109/TBME.2007.912636
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Occupational and Environmental Medicine
What can be learned from the Japanese study of mobile phone use and acoustic neuroma?
Kundi, M
Occupational and Environmental Medicine, 65(6): 428.

Progress of Theoretical Physics Supplement
The mammalian brain in the electromagnetic fields designed by man with special reference to blood-brain barrier function, neuronal damage and possible physical mechanisms
Salford, LG; Nittby, H; Brun, A; Grafstrom, G; Malmgren, L; Sommarin, M; Eberhardt, J; Widegren, B; Persson, BRR
Progress of Theoretical Physics Supplement, (): 283-309.

Annals of Epidemiology
Quantifying the Impact of Selection Bias Caused by Nonparticipation in a Case-Control Study of Mobile Phone Use
Vrijheid, M; Richardson, L; Armstrong, BK; Auvinen, A; Berg, G; Carroll, M; Chetrit, A; Deltour, I; Feychting, M; Giles, GG; Hours, M; Iavarone, I; Lagorio, S; Lonn, S; Mcbride, M; Parent, ME; Sadetzki, S; Salminen, T; Sanchez, M; Schlehofer, B; Schouz, J; Siemiatycki, J; Tynes, T; Woodward, A; Yamaguchi, N; Cardis, E
Annals of Epidemiology, 19(1): 33-41.
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Journal of Exposure Science and Environmental Epidemiology
Recall bias in the assessment of exposure to mobile phones
Vrijheid, M; Armstrong, BK; Bedard, D; Brown, J; Deltour, I; Iavarone, I; Krewski, D; Lagorio, S; Moore, S; Richardson, L; Giles, GG; Mcbride, M; Parent, ME; Siemiatycki, J; Cardis, E
Journal of Exposure Science and Environmental Epidemiology, 19(4): 369-381.
10.1038/jes.2008.27
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Occupational and Environmental Medicine
Determinants of mobile phone output power in a multinational study: implications for exposure assessment
Vrijheid, M; Mann, S; Vecchia, P; Wiart, J; Taki, M; Ardoino, L; Armstrong, BK; Auvinen, A; Bedard, D; Berg-Beckhoff, G; Brown, J; Chetrit, A; Collatz-Christensen, H; Combalot, E; Cook, A; Deltour, I; Feychting, M; Giles, GG; Hepworth, SJ; Hours, M; Iavarone, I; Johansen, C; Krewski, D; Kurttio, P; Lagorio, S; Lonn, S; McBride, M; Montestrucq, L; Parslow, RC; Sadetzki, S; Schuz, J; Tynes, T; Woodward, A; Cardis, E
Occupational and Environmental Medicine, 66(): 664-671.
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Occupational and Environmental Medicine
Use of cellular telephones and brain tumour risk in urban and rural areas
Hardell, L; Carlberg, M; Mild, KH
Occupational and Environmental Medicine, 62(6): 390-394.
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Journal of Exposure Science and Environmental Epidemiology
Call-related factors influencing output power from mobile phones
Hillert, L; Ahlbom, A; Neasham, D; Feychting, M; Jarup, L; Navin, R; Elliott, P
Journal of Exposure Science and Environmental Epidemiology, 16(6): 507-514.
10.1038/sj.jes.7500485
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European Archives of Oto-Rhino-Laryngology
Studying the effects of mobile phone use on the auditory system and the central nervous system: a review of the literature and future directions
Kaprana, AE; Karatzanis, AD; Prokopakis, EP; Panagiotaki, IE; Vardiambasis, IO; Adamidis, G; Christodoulou, P; Velegrakis, GA
European Archives of Oto-Rhino-Laryngology, 265(9): 1011-1019.
10.1007/s00405-008-0703-z
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Surgical Neurology
Cell phone use and acoustic neuroma: the need for standardized questionnaires and access to industry data
Han, YY; Kano, H; Davis, DL; Niranjan, A; Lunsford, LD
Surgical Neurology, 72(3): 216-222.
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Physics in Medicine and Biology
The estimation of 3D SAR distributions in the human head from mobile phone compliance testing data for epidemiological studies
Wake, K; Varsier, N; Watanabe, S; Taki, M; Wiart, J; Mann, S; Deltour, I; Cardis, E
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Pediatrics
The sensitivity of children to electromagnetic fields
Kheifets, L; Repacholi, M; Saunders, R; van Deventer, E
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Radiation Research
Exposure of cultured astroglial and microglial brain cells to 900 MHz microwave radiation
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Radiation Research, 166(2): 409-421.

International Archives of Occupational and Environmental Health
Pooled analysis of two case-control studies on use of cellular and cordless telephones and the risk for malignant brain tumours diagnosed in 1997-2003
Hardell, L; Carlberg, M; Mild, KH
International Archives of Occupational and Environmental Health, 79(8): 630-639.
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Annales Des Telecommunications-Annals of Telecommunications
SAR characterization inside intracranial tumors for case-control epidemiological studies on cellular phones and RF exposure
Varsier, N; Wake, K; Taki, M; Watanabe, S; Takebayashi, T; Yamaguchi, N; Kikuchi, Y
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Journal of Neuro-Oncology
The Austrian Brain Tumour Registry: a cooperative way to establish a population-based brain tumour registry
Wohrer, A; Waldhor, T; Heinzl, H; Hackl, M; Feichtinger, J; Gruber-Mosenbacher, U; Kiefer, A; Maier, H; Motz, R; Reiner-Concin, A; Richling, B; Idriceanu, C; Scarpatetti, M; Sedivy, R; Bankl, HC; Stiglbauer, W; Preusser, M; Rossler, K; Hainfellner, JA
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British Journal of Cancer
Mobile phone use and risk of acoustic neuroma: results of the Interphone case-control study in five North European countries
Schoemaker, MJ; Swerdlow, AJ; Ahlbom, A; Auvinen, A; Blaasaas, KG; Cardis, E; Christensen, HC; Feychting, M; Hepworth, SJ; Johansen, C; Klaeboe, L; Lonn, S; McKinney, PA; Muir, K; Raitanen, J; Salminen, T; Thomsen, J; Tynes, T
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Electromagnetic Biology and Medicine
Electrohypersensitivity: State-of-the-art of a functional impairment
Johansson, O
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Physics in Medicine and Biology
High-resolution numerical model of the middle and inner ear for a detailed analysis of radio frequency absorption
Schmid, G; Uberbacher, R; Samaras, T; Jappel, A; Baumgartner, WD; Tschabitscher, M; Mazal, PR
Physics in Medicine and Biology, 52(7): 1771-1781.
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Environmental Health Perspectives
Microwaves from GSM mobile telephones affect 53BP1 and gamma-H2AX foci in human lymphocytes from hypersensitive and healthy persons
Markova, E; Hillert, L; Malmgren, L; Persson, BRR; Belyaev, IY
Environmental Health Perspectives, 113(9): 1172-1177.
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American Journal of Epidemiology
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Life Sciences
Ultra high frequency-electromagnetic field irradiation during pregnancy leads to an increase in erythrocytes micronuclei incidence in rat offspring
Ferreira, AR; Knakievicz, T; Pasquali, MAD; Gelain, DP; Dal-Pizzol, F; Fernandez, CER; de Salles, AAD; Ferreira, HB; Moreira, JCF
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Journal of Radiation Research
Effects of 2.45 GHz electromagnetic fields with a wide range of SARs on bacterial and HPRT gene mutations
Koyama, S; Takashima, Y; Sakurai, T; Suzuki, Y; Taki, M; Miyakoshi, J
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Journal of Exposure Science and Environmental Epidemiology
Comparison of measuring instruments for radiofrequency radiation from mobile telephones in epidemiological studies: Implications for exposure assessment
Inyang, I; Benke, G; Mckenzie, R; Abramson, M
Journal of Exposure Science and Environmental Epidemiology, 18(2): 134-141.
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Epidemiology
Mobile Phone Use and Acoustic Neuromas
Tarone, RE; Inskip, PD
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Epidemiology
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Stang, A; Schmidt-Pokrzywniak, A; Jöckel, K
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Hardell, L; Mild, KH
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Epidemiology
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Thomas, BN; Flowers, D; Caswell, J; Robbé, IJ
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Johnston, SA; Scherb, H
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Epidemiology
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Epidemiology
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