BfS Topics in the Bundestag
Digital Radio of Security Authorities and Organisations
Emissions from compact fluorescent lamps
Full-body scanners
Electromagnetic Fields and the biotic environment
Bioinitiative Report
Risk factors for childhood leukemia
Comments on the “Naila Mobilfunkstudie” by the BFS
Comments on electrosmog shielding mats
DECT Phones, ÖKO-TEST February 2004
BfS statement to ÖKO-TEST's investigation into baby monitors
DECT phones, ÖKO-TEST September 2002
Electronic Article Surveillance
Electromagnetic fields - Report 347

Electromagnetic Fields > ... > Comments on the “Naila Mobilfunkstudie” by the BFS

Comments on the “Naila Mobilfunkstudie” by the Federal Office for Radiation Protection (BFS), Germany
A statistical evaluation of medical data in terms of cancerous diseases in the vicinity of a mobile base station was carried out by German physicians. This survey was published in a German journal. The judgement of Federal Office for Radiation Protection (BfS) is described below.

BACKGROUND

The study was published by the end of 2004 in a German journal: Eger H, Hagen KU, Lucas B, Vogel P, Voigt H. Einfluß der räumlichen Nähe von Mobilfunksendeanlagen auf die Krebsinzidenz. Umwelt-Medizin-Gesellschaft 2004 (4): 326-332.

A PDF-file of the article can be downloaded under http://www.hese-project.org/de/emf/Studien/StudienDiskussion/NailaStudie/20050226_naila-studie.pdf

METHODS AND MATERIALS

Study region

In June 1993 a GSM base station was installed in close proximity to the residential part of the small town Naila in southern Germany. In September 1993 it became operational. The transmitter has a nominal power of 15 watts per channel with a typical frequency of 935 MHz.

Data collection

The study was conducted by 5 medical doctors. The study population consists of their patients. Two regions were defined, the inner region (distance less than 400m from the base station) and the outer region (more than 400 m distance). A random sample of comparable streets was chosen in both areas. A street including a large nursing home in the inner region was excluded. The leader of each medical practice examined lists of the streets under study and identified patients from his practice and the cases of tumours since 1994 to 2004. It was a condition that patients had remained in the same area for the full ten-year study period. The authors argue that the coverage with those living in the study areas was about 90%. All malignant tumours were included with the exception of skin cancers but including malignant melanoma. The diagnoses were confirmed by data of health insurance funds and an independent route such as hospital discharge reports and histological diagnoses.

There was no individual exposure assessment. Persons living in the inner area were defined as “exposed” and those in the outer area were defined as the comparison group. Information on other potential confounders was not collected. The study included a total of 933 patients, among them 302 from the inner area and 631 from the outer area.

Statistical methods

The odds ratio (OR) was calculated by means of a simple two by two table using a Chi2 test with 95% confidence limits. In addition the relative risk (RR) was determined. This was done for the 10 year period 1994 to 2004 and for the 5 year period 1999 to 2004, assuming a 5 year cancer latency period. Age and sex or other variables were not included in the statistical analyses. The authors argue that the mean age in the inner and outer area was similar for women (41 years) and for men (38 Years) as well as the percentage of women (55% in both areas).

RESULTS
  • In the follow-up period 1994 to 2004 a total of 34 new cancer cases occurred. Among them 18 cases in the inner area and 16 cases in the outer area (see table 1). The main sites of cancers had been breast cancer (5 inner/3 outer), pancreas (3 inner/2 outer), prostate (2 inner/ 3 outer), colon (2 inner/2 outer), lung (2 inner/1 outer), and kidney (2 inner/ 1 outer). There was a 2.35fold higher risk to develop cancer in the inner area compared to the outer area (OR=2.35,  95% confidence interval: 1.18-4.67). The calculated relative risk was 2.27. No adjustment was made for age, sex or any other variable. The mean age of getting cancer was 64.1 years in the inner area and 72.6 years in the outer area. The authors argue that over the 10 year period malignant diseases developed at younger ages in the inner area. However, there was no formal test. The risk of breast cancer was 3.5fold higher in the inner area compared to the outer area, yet this increase in risk was not statistically significant.
  • In the follow-up period 1994 to 1999 a total of 13 new cases occurred (see table 1). Among them 5 cases in the inner area and 8 cases in the outer area. There was no statistically significant difference in risk between the inner and the outer area.
  • In the follow-up period 1999 to 2004 a total of 21 new cancer cases occurred (see table 1). Among them 13 cases in the inner area and 8 cases in the outer area, yielding a 3,38fold increased odds ratio (95% CI: 1.39-8.25) for cancer in the inner area compared to the outer area. The corresponding relative risk was 3.29. Again there was no adjustment for age, sex, or any other variable. For this follow-up period no information on type of cancer or age at disease was provided.

Table 1: Number of newly diagnosed cancer cases in the inner and outer area
by follow-up period




EVALUATION OF THE RESULTS BY THE BFS

The study shows a twofold higher probability to develop cancer for people living near the base station compared to those living in the outer area in the 10 year follow-up period. In the first five years there was no increase in risk, while in the time period 1999 to 2004 – five years after operation of the base station – there was a three times increased risk for cancer.

One of the strengths of the study is that a rural study region with a stable population was chosen, and that there was a small density of base stations (installation of the first base station 1993, a second in 1997). On the other hand there are a series of methodological weaknesses.

Age and sex of the patients was not considered in the statistical analyses. It is not sufficient to refer to an equal average age and ratio of sex in both regions, because differences in the common age and sex distribution may exist. Not considering such differences can produce a bias in risk estimate, particularly if specific sites of cancers were considered.

Further on, it cannot be excluded that the number of cancers in the outer area is underestimated. A rough comparison done by the authors with the incidence rates from the cancer registry in the Saarland, showed that substantially less cancers were observed than expected. An underestimation in the outer area can induce an overestimation of the risk. The authors argue that they would know if one of their patients had become cancer. It is, however, unclear whether there was a complete follow-up of the patients over the 10 year period by the doctors or whether patients went to other doctors or hospitals outside or inside the study area during the follow-up period.

Information on potential confounders for cancer is not available. Since all sites of cancer are considered all potential confounders may play a role (smoking, diet, obesity, alcohol, etc.). If the distribution of these factors are different in the inner and outer area, then bias due to confounding cannot be excluded.

There was no individual exposure assessment. On average, exposure in the inner area might have been higher compared to the outer area, but due to the complex dependency of wave propagation on environmental factors (e.g. screening, reflection, absorption) there will be substantial individual differences in exposure. The authors state in the paper that measurements done by the Bayerischen Landesamt für Umweltschutz showed that radiation intensities in the inner area are about 100 times higher than in the outer area and significantly higher than other emitting electromagnetic waves, such as radio, television and radar. According to a communication from the Bayerischen Landesamt für Umweltschutz (by 15.12.2004) this statement is not true.

A further limitation concerns the low sample size. The statistical analyses are based on 34 cancer cases in the 10 year period and after considering a latency period of 5 years only 21 cancers. Analyses on specific types of cancer are therefore not possible. The authors hypothesize that breast cancer is a „marker-carcinoma“ for high exposure to radiofrequency. This is highly speculative, since in total only 8 breast cancers occurred and the observed risk was not statistically significant. Also, they argue that cancer patients near base stations develop cancer at a much younger age. Again this is speculative. The age at disease depends on site of cancer, age and sex of patients. All these variables were not considered in the analyses.

Altogether this study has low significance and conclusion that can be drawn from this study are very limited. The group of doctors themselves characterize the study as a pilot study, which was conducted without any financial resources in a small area with very simple methods.

They request from the responsible authorities in Germany, to repeat the study in a similar manner in other regions in order to reproduce the results. Studies of this type are in principle only meaningful, if the above mentioned methodological problems can be resolved. This means, that for example data from complete cancer registries can be used  instead of data of patients, the study is population based, a sufficient sample size is included, information on other main risk factors can be obtained, and in particular an individual exposure assessment is possible.

The evidence of an exposure-response-relationship is a major point. It is not sufficient to compare a group of people which is “on average more exposed” than a group which is “on average less exposed”, because a single observed elevated risk may be the result of bias (selection bias, information bias, confounding). The observation of an increase in risk over several categories of exposure would be more supportive for a potential causal relation. A pre-condition for allocation of study subjects into different exposure categories is a retrospective individual exposure assessment. The current scientific level of knowledge does not allow such a retrospective exposure assessment.

CONCLUSION

Despite existent major limitationsin the “Naila Mobilfunk” study, the reported singular evidence of a potentially threefold increased cancer risk was considered seriously by the BfS. With respect to observed elevated health risks from other singular studies, the BfS conducted a large research program on telecommunication with a financial budget of 17 Mio EUR. About 54 research projects in the area of biology, dosimetry, risk communication and epidemiology were funded. An overview on these projects is given in the internet http://www.emf-forschungsprogramm.de/forschung. Among them there are four large epidemiological research projects that directly investigate the association between cancer and mobile telecommunication, as well as dosimetric projects aiming to determine the exposure of the population by fields of base stations.

An evaluation summing up the results of the German Mobile Telecommunication Research Programme can be found in the brochure (in German language only) and in the final report of the programme.

It is the main result of the DMF that the previous indications of possible health effects due to high frequency electromagnetic fields have not been reproduced. Regarding the use of mobile phones which results in a much higher exposure to high frequency fields than that from base stations an increase in cancer risk could not be proven when using them for up to 10 years.



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