Abstract
Background
Radar transmitters emit high-power radiofrequency radiation by creation of a high-voltage and high-frequency alternating electrical current.
Methods:
Health effects of occupational exposure to military radar were investigated. Visual reaction time was recorded with a simple blind computer-assisted-visual reaction time test. To assess the short-term memory, modified Wechsler Memory Scale test was performed.
Results:
The mean +/- SD reaction time in radar works (N=100) and the control group (N=57) were 238.58 +/− 23.47 milliseconds and 291.86 +/− 28.26 milliseconds (P<0.0001), respectively. The scores of forward digit span in radar works and the control group were 3.56 +/− 0.77 and 4.29 +/− 1.06 (P<0.0001), while the scores of backward digit span in radar works and the control group were 2.70 +/− 0.69 and 3.62 +/− 0.95 (P<0.0001). The scores of word recognition in radar works and the control group were 3.37 +/− 1.13 and 5.86 +/− 1.11 (P<0.0001). Finally, the scores of paired words in radar works and the control group were 13.56 +/− 1.78 and 15.21 +/− 2.20 (P<0.0001). It can be concluded that occupational exposures to radar radiations decreases reaction time, which may lead to a better response to different hazards.
Conclusion:
To the best of our knowledge, this is the first study to show that occupational exposure to radar microwave radiation leads to decreased reaction time and the lower performance of short-term memory. Altogether, these results indicate that occupational exposure to radar microwave radiations may be linked to some non-detrimental and detrimental health effects.
Keywords: Military radar, Occupational exposure, Radiofrequency, Microwave, Health effects
Introduction
The rapidly increasing use of microwave radiation, has raised public concern about possible detrimental effects of non-ionizing radiation sources which work in this frequency range (1–3). Radio Detection And Ranging (Radar) equipments send and transmit high-power RF waves by producing a high-voltage and high frequency alternating electrical current. Radar workers are routinely exposed to pulsed high frequency electromagnetic fields, which are produced to locate and identify the presence, direction or range of airplanes, ships, control towers or other, usually moving objects. Nowadays, radar systems, which operate at radio frequencies (RF) between 300 MHz and 18 GHz, are widely used for navigation, aviation, national defense, weather forecasting and even to speed control (hand-held police radars). As radiations emitted by radar systems must travel long distances in order to detect objects, the power must be relatively high at transmission site. Recent studies conducted on the health effects of occupational exposure to military radar radiations indicate some detrimental effects such as induction of oxidative stress (decreased glutathione concentration vs. increased concentration of malondialdehyde) (4), reduced fertility (5), increased level of DNA damage and chromatid breaks (6). Furthermore, some non-EMF hazards such as radar equipment-related electrical injury are also reported (7). There are also reported risks such as increased incidence of hemolymphatic cancers that can be caused by microwaves generated by radars or ionizing radiation produced by electronic devices producing the microwaves (8). On the other hand, there are published reports that could not show any detrimental effect in radar workers. In a 40-year controlled longitudinal Belgian study, no increase in all-cause mortality in military personnel who were in close contact with radar equipments was found (9). Over the past years our laboratory has focused on studying the health effects of exposure of humans to some common sources of electromagnetic fields such as mobile phones (10–12), MRI (13) and possible implications of pre-exposure to radiofrequency radiations (14–16).
The aim of this study was to assess if occupational exposure of military radar personnel affect their general health.
Materials and Methods
Participants
This study was conducted on apparently healthy male and female workers employed in a military radar site with a frequency range of 2–18 GHz. In this study, health effects of this radiation in personnel who routinely work with radar systems are investigated. All required permissions were obtained from the authorities. As in this study informed consent was essential before enrolling a participant, 100 workers (mean age of 33.42±6.87 years, ranged 24–50 years) including 91 males and 9 females participated in the study, gave their informed consent before beginning the study. Seventy one percent of these workers had university degrees (B.Sc and M.Sc). A previously approved questionnaire (10) including personal information, job status, possibility of exposure to other sources of electromagnetic fields (Mobile phones, CRTs, etc) and adverse health symptoms (self reported) was used.
GHQ
The 28-item General Health Questionnaire (GHQ) initially developed by Goldberg and Hillier to screen for somatic symptoms, anxiety and insomnia, social dysfunction, and severe depression was used as a self-administered tool for assessment of general mental health and mental distress. Higher scores indicate a worse general health condition. The validity and reliability of the Persian version of this questionnaire, which is understandable to almost every Iranian, was approved previously (17).
Reaction Time
A modified Bracy simple visual reaction time test (18) that was developed in the Center for Research in Radiation Sciences (CRRS), Shiraz University of Medical Sciences, was used in this study. Visual reaction time (VRT) of all participants was recorded with a simple blind computer-assisted-visual reaction time test. To evaluate participants’ sustained attention and response time, the participants were asked to respond as quickly as possible by a single right click on a computer mouse when a red square on the display was replaced by a green one. The students had to perform some preliminary tests for orientation with the test. In this stage, reaction time was not recorded. After orientation, to reduce random variation of measurements, each test was repeated 7 times in both real and sham exposure phases.
Memory Test
Modified Wechsler Memory Scale test was performed on all participants. The test includes four subtests including forward and backward digit span, paired words and word recognition. After training, to perform the WMS digit span memory test, participants were asked to repeat back a list of digits, which were spoken live-voice, by an expert member of our research team at a rate of approximately one digit per second.
This study was approved by the Research Ethics Committee at the Shiraz University of Medical Sciences and informed consent was obtained from all participants.
Results
As shown in Table 1, the mean age of the participants was 33.42±6.87 (ranged 24–50) years. Forty eight percent of the participants had worked 8 hours or less than 8 hours per day, while forty-eight and two percent of the participants had worked 9–10 hours per day and more than 10 hours per day, respectively. Only one percent of the participants had worked less than 5 days per week, while 84% and 15% of the participants had worked 5 days per week and 6 days per week, respectively.
Table 1:
Cases | Controls | |||
---|---|---|---|---|
Frequency (%) | Mean (SD) | Frequency (%) | Mean (SD) | |
Age | ||||
Male | N = 91 (91.0) | 33.85 (7.05) | N = 53 (92.98) | 33.17 (7.12) |
Female | N = 9 (9.0) | 29.11 (1.54) | N = 4 (7.02) | 33.19 (7.02) |
Total | 100 (100) | 33.42 (6.87) | 57 (100) | 33.19 (7.02) |
Work Hours/Day | ||||
≤ 8 hours | 48 (48) | |||
9–10 hours | 48 (48) | |||
> 10 hours | 2 (2) | |||
Work Days/Week | ||||
< 5 Days | 1 (1) | |||
5 Days | 84 (84) | |||
6 Days | 15 (15) | |||
Work Experience | ||||
≤ 24 months | 20 (20) | |||
25–48 months | 30 (30) | |||
49–120 months | 35 (35) | |||
> 120 months | 15 (15) | |||
Distance from Antenna | ||||
≤ 4 meters | 33 (33) | |||
5–10 meters | 47 (47) | |||
> 10 meters | 20 (20) |
Moving to work experience as a cardinal factor that determines the occupational health effects, 20% of the participants had work experiences of 24 months or less while 30%, 35% and 15% had work experiences in the range of 25–148, 49–120 and more than 121 months, respectively. On the other hand, considering the average distance of the participants from radar antennas, 33% had worked in distances of 4 meters or less, while 47% and 20% had worked in distances of 5–10 meters and more than 10 meters, respectively.
Mean (± SD) GHQ-28 scores of participants in all subsets and the scores in each subsection of somatic symptoms, anxiety/ insomnia, social dysfunction, and severe depression are shown in Table 2. The mean scores of GHQ for somatic symptoms in radar workers and the control group were 1.03 ± 0.49 and 1.45 ± 0.26 (P<0.0001), respectively. The scores for anxiety/insomnia in radar workers and the control group were 0.99 ± 0.58 and 1.70 ± 1.40 (P<0.001), respectively. For social dysfunction the scores in radar workers and the control group were 1.08 ± 0.34 and 1.49 ± 0.29 (P<0.0001), respectively. Finally, for severe depression these scores in radar workers and the control group were 0.44 ± 0.52 and 1.66 ± 0.35 (P<0.0001), respectively.
Table 2:
Radar Workers (n = 100) males and females Mean± SD |
Control Group (n= 57) males and females Mean± SD |
|
---|---|---|
GHQ-28 subscales | ||
Somatic symptoms | 1.03 ± 0.49 | 1.45 ± 0.26 |
Anxiety/insomnia | 0.99 ± 0.58 | 1.70 ± 1.40 |
Social dysfunction | 1.08 ± 0.34 | 1.49 ± 0.29 |
Severe depression | 0.44 ± 0.52 | 1.66 ± 0.35 |
P value< 0.0001
Interestingly, the number of work hours was associated with GHQ-28 scores of participants. The mean scores of GHQ for somatic symptoms in the control group and radar workers who worked ≤8 hours, 9–10 hours and more than 10 hours per day were 1.45 ± 0.26, 1.07 ± 0.50, 1.03 ± 0.48 and 0.61 ± 0.07 (P<0.0001), respectively. For anxiety/insomnia, the mean scores in the control group and radar workers who worked ≤8 hours, 9–10 hours and more than 10 hours per day were 1.70 ± 1.40, 1.02 ± 0.62, 0.99 ± 0.56 and 0.82 ± 0.36 (P<0.001), respectively. For social dysfunction, the mean scores in the control group and radar workers who worked ≤8 hours, 9–10 hours and more than 10 hours per day were 1.49 ± 0.29, 1.08 ± 0.36, 1.09 ± 0.34 and 0.93 ± 0.25 (P<0.0001), respectively. For severe depression, the mean scores in the control group and radar workers who worked ≤8 hours, 9–10 hours and more than 10 hours per day were 1.66 ± 0.35, 0.52 ± 0.54, 0.40 ± 0.51 and 0.07 ± 0.08 (P<0.0001), respectively. Altogether, the total scores of GHQ for all 4 subsets in the control group and radar workers who worked ≤8 hours, 9–10 hours and more than 10 hours per day were 1.53 ± 0.22, 1.82 ± 0.38, 1.77 ± 0.49 and 2.08 ± 0.64 (P<0.0001), respectively.
On the other hand, work experience played a significant role in GHQ scores. The mean scores of GHQ for somatic symptoms in the control group and radar workers who had work experiences of ≤24 months, 25–48, 49–120 and more than 120 months were 1.45 ± 0.26, 1.04 ± 0.40, 1.01 ± 0.48, 0.91 ± 0.49 and 1.18 ± 0.59 (P<0.0001), respectively. For anxiety/insomnia, the mean scores in the control group and radar workers who had work experiences of ≤24 months, 25–48, 49–120 and more than 120 months were 1.70 ± 1.40, 0.97 ± 0.47, 1.08 ± 0.53, 0.89 ± 0.70 and 1.08 ± 0.60 (P<0.001), respectively. For social dysfunction, the mean scores in the control group and radar workers who had work experiences of ≤24 months, 25–48, 49–120 and more than 120 months were 1.49 ± 0.29, 0.96 ± 0.29, 1.13 ± 0.34, 1.11 ± 0.41 and 1.07 ± 0.25 (P<0.0001), respectively. For severe depression, the mean scores in the control group and radar workers who had work experiences of ≤24 months, 25–48, 49–120 and more than 120 months were 1.66 ± 0.35, 0.40 ± 0.55, 0.47 ± 0.47, 0.49 ± 0.56 and 0.35 ± 0.52 (P<0.0001), respectively.
On the other hand, the distance from the antenna played also a significant role in mean GHQ-scores of the participants. The mean scores of GHQ for somatic symptoms in the control group and radar workers who had worked at an average distance of ≤4 meters, 5–10 and more than 10 meters were 1.45 ± 0.26, 1.06 ± 0.40, 1.05 ± 0.54 and 0.95 ± 0.50 (P<0.0001), respectively. For anxiety/insomnia, the mean scores in the control group and radar workers who had worked at an average distance of ≤4 meters, 5–10 and more than 10 meters were 1.70 ± 1.40, 1.10 ± 0.55, 0.97 ± 0.62 and 0.89 ± 0.54 (P<0.001), respectively. For social dysfunction, the mean scores in the control group and radar workers who had worked at an average distance of ≤4 meters, 5–10 and more than 10 meters were 1.49 ± 0.29, 1.13 ± 0.34, 1.04 ± 0.29 and 1.10 ± 0.47 (P<0.001), respectively. For severe depression, the mean scores in the control group and radar workers who had worked at an average distance of ≤4 meters, 5–10 and more than 10 meters were 1.66 ± 0.35, 0.43 ± 0.42, 0.43 ± 0.60 and 0.49 ± 0.50 (P<0.0001), respectively. Altogether, the total scores of GHQ for all 4 subsets in the control group and radar workers who had worked at an average distance of ≤4 meters, 5–10 and more than 10 meters were 1.53 ± 0.22, 1.54 ± 0.22, 1.49 ± 0.23 and 1.49 ± 0.43, respectively. These differences were not statistically significant (P=0.77).
The relationship between reaction time and the participants’ work experience is shown in Table 3.
Table 3:
Frequency (# of samples) Reaction Time (msec) | Total | ||
---|---|---|---|
Work Experience | ≤ 225 msec | > 225 msec | |
≤ 48 months | 0 | 50 | 50 |
>48 months | 33 | 17 | 50 |
Total | 33 | 67 | 100 |
Chi-square P-value < 0.001
Chi-square test revealed a statistically significant relationship between work experience and reaction time (P< 0.001). On the other hand, there was a significant relationship between participants’ age and the reaction time (P< 0.001). After adjustment for age, reaction time remained associated with work experience. The reaction time of the radar workers and the control group in different age categories is shown in Table 4.
Table 4:
Age group (yr) | Radar Workers Reaction time m sec (Mean± SD) (# of participants) | Control Group Reaction time m sec (Mean± SD) (# of participants) |
---|---|---|
20–30 | 246.81± 21.65 (N = 48) | 298.44± 30.03 (N = 27) |
31–40 | 233.71± 22.34 (N = 35) | 291.75± 23.96 (N = 20) |
41–50 | 225.35± 23.02 (N = 17) | 275.91± 26.87 (N = 11) |
Total | 238.58± 23.47 (N = 100) | 291.86± 28.26 (N = 57) |
P value< 0.0001
This table clearly shows that regardless of the age category, there is a statistically significant difference between reaction time of the radar workers and the control group.
The scores of the short-term memory of radar workers and the control group for each subtest are shown in Table 5. According to this table, for all subtests (forward and backward digit span, paired words and word recognition), the scores of the radar workers are significantly higher than those of the control group.
Table 5:
Radar Workers (Mean± SD) (n = 100) | Control Group (Mean± SD) (n = 57) | |
---|---|---|
Forward digit span | 3.56 ± 0.77 | 4.29 ± 1.06 |
Backward digit span | 2.70 ± 0.69 | 3.62 ± 0.95 |
Word Recognition | 3.37 ± 1.13 | 5.86 ± 1.11 |
Paired words | 13.56 ± 1.78 | 15.21 ± 2.20 |
P value < 0.0001
Discussion
Results showed that the mean reaction time in radar works was significantly lower than that of the control group (238.58 +/− 23.47 milliseconds vs 291.86 +/− 28.26 milliseconds, P<0.0001). These results may lead us to this conclusion that occupational exposure to radar radiations decreases reaction time, which may lead to a better response to different hazards. On the other hand, the scores of forward digit span, backward digit span, word recognition and paired words in radar workers were significantly lower than those of the control group (3.56 +/− 0.77 vs. 4.29 +/− 1.06, P<0.0001; 2.70 +/− 0.69 vs. 3.62 +/− 0.95, P<0.0001; 3.37 +/− 1.13 vs 5.86 +/− 1.11, P<0.0001; 13.56 +/− 1.78 vs. 15.21 +/− 2.20, P<0.0001, respectively).
Findings of reaction time in this study generally confirm the findings of our previous study that indicated exposure to mobile phone radiations caused decreased reaction time in university students (12). Generally speaking, our findings are in contrast with those of other investigators who have reported detrimental health effects of the occupational exposure to radar radiations such as decreased sperm motility and viability in highly exposed group compared to those of the lowly exposed and control groups (19), increased sperm dysmorphia and alteration in quality of semen in response to changes in microwave frequency, distance, intensity, exposure time and quality of shielding (20), increase in frequency of micronuclei (21). On the other hand these findings are not in line with those reports that showed biological alterations without major clinical implications such as increased IgG, IgM and IgA level and decreased count of lymphocytes and T8 cells (22) or even some beneficial bioeffects such as lower all-cause mortality rate in military conscripts who served in battalions with anti-aircraft radars versus controls (9).
Investigation of the general and more specifically mental health that is believed to be an integral and essential component of health was among the main goals of this study. The WHO constitution states: “Health is a state of complete physical, mental and social well-being and not merely the absence of disease or infirmity”. In this light, mental health is more than the absence of mental disorders or disabilities (23). Exposure to radiofrequency radiation has not consistently been shown to have an effect on well-being or self-reported symptoms such as headache, fatigue, dizziness and concentration difficulties (24). In this light, our study interestingly showed that the scores of GHQ for all 4 subsets in the control group were higher than those of radar workers. This clearly indicates that the levels of psychological distress in radar workers are less than those of the control group.
In the former Soviet Union anecdotal reports of symptoms such as insomnia, memory loss, and headache led to some early reports indicating possible psychiatric or psychological effects of exposure to electromagnetic fields (25). However, after several decades, these reports are still unconfirmed but recently, hypotheses relating EMF to problems such as neurodegenerative disorders have attracted a worldwide interest (26). In our study, the short-term memory scores in radar workers were less than those of the control group. This finding is in line with the results obtained in a study on 317 seventh grade students (144 boys, 173 girls, median age 13 years). In this study, in children who reported more mobile phone voice calls, the accuracy of working memory was poorer and reaction time for a simple learning task was shorter (27).
Despite much dissimilarity, some of our findings are clearly in contrast with some recent studies that report lack of evidence for a direct association between frequency and severity of non-specific physical symptoms and higher levels of EMF exposure (10, 11, 28).
Conclusion
Altogether, the results obtained in this study indicate that occupational exposure to radar microwave radiations are not linked to major adverse health effects. However, as the short-term memory scores in radar workers were less than those of the control group, attempts for reducing exposure of radar workers to radiofrequencies generated by radar systems should be performed.
Ethical considerations
Ethical issues (Including plagiarism, Informed Consent, misconduct, data fabrication and/or falsification, double publication and/or submission, redundancy, etc) have been completely observed by the authors.
Acknowledgments
This study was supported by the Center for Research on Radiation Sciences (CRRS), Shiraz University of Medical Sciences. The authors declare that there is no conflict of interest.
References
- 1.Behari J. Biological responses of mobile phone frequency exposure. Indian J Exp Biol. 2010;48(10):959–981. [PubMed] [Google Scholar]
- 2.Yu Y, Yao K. Non-thermal cellular effects of lowpower microwave radiation on the lens and lens epithelial cells. J Int Med Res. 2010;38(3):729–736. doi: 10.1177/147323001003800301. [DOI] [PubMed] [Google Scholar]
- 3.Kanezaki A, Hirata A, Watanabe S, Shirai H. Effects of dielectric permittivities on skin heating due to millimeter wave exposure. Biomed Eng Online. 2009;8:20. doi: 10.1186/1475-925X-8-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Garaj-Vrhovac V, Gajski G, Pazanin S, Sarolic A, Domijan AM, Flajs D, et al. Assessment of cytogenetic damage and oxidative stress in personnel occupationally exposed to the pulsed microwave radiation of marine radar equipment. Int J Hyg Environ Health. 2011;214(1):59–65. doi: 10.1016/j.ijheh.2010.08.003. [DOI] [PubMed] [Google Scholar]
- 5.Mollerlokken OJ, Moen BE. Is fertility reduced among men exposed to radiofrequency fields in the Norwegian Navy? Bioelectromagnetics. 2008;29(5):345–352. doi: 10.1002/bem.20400. [DOI] [PubMed] [Google Scholar]
- 6.Garaj-Vrhovac V, Orescanin V. Assessment of DNA sensitivity in peripheral blood leukocytes after occupational exposure to microwave radiation: the alkaline comet assay and chromatid breakage assay. Cell Biol Toxicol. 2009;25(1):33–43. doi: 10.1007/s10565-008-9060-3. [DOI] [PubMed] [Google Scholar]
- 7.Tenenhaus M, Potenza B, Li A. A case of peripheral neuropathy from contact with military radar equipment. Eplasty. 2009;10:e1. [PMC free article] [PubMed] [Google Scholar]
- 8.Degrave E, Meeusen B, Grivegnee AR, Boniol M, Autier P. Causes of death among Belgian professional military radar operators: a 37-year retrospective cohort study. Int J Cancer. 2009;124(4):945–951. doi: 10.1002/ijc.23988. [DOI] [PubMed] [Google Scholar]
- 9.Degrave E, Autier P, Grivegnee AR, Zizi M. All-cause mortality among Belgian military radar operators: a 40-year controlled longitudinal study. Eur J Epidemiol. 2005;20(8):677–681. doi: 10.1007/s10654-005-7922-z. [DOI] [PubMed] [Google Scholar]
- 10.Mortazavi SMJ, Ahmadi J, Shariati M. Prevalence of subjective poor health symptoms associated with exposure to electromagnetic fields among University students. Bioelectromagnetics. 2007;28(4):326–330. doi: 10.1002/bem.20305. [DOI] [PubMed] [Google Scholar]
- 11.Mortazavi SM, Mahbudi A, Atefi M, Bagheri S, Bahaedini N, Besharati A. An old issue and a new look: electromagnetic hypersensitivity caused by radiations emitted by GSM mobile phones. Technol Health Care. 2011;19(6):435–443. doi: 10.3233/THC-2011-0641. [DOI] [PubMed] [Google Scholar]
- 12.Mortazavi SM, Rouintan MS, Taeb S, Dehghan N, Ghaffarpanah AA, Sadeghi Z, et al. Human short-term exposure to electromagnetic fields emitted by mobile phones decreases computer-assisted visual reaction time. Acta Neurol Belg. 2012;112(2):171–175. doi: 10.1007/s13760-012-0044-y. [DOI] [PubMed] [Google Scholar]
- 13.Mortazavi SMJ, Daiee E, Yazdi A, Khiabani K, Kavousi A, Vazirinejad R, et al. Mercury release from dental amalgam restorations after magnetic resonance imaging and following mobile phone use. Pakistan Journal of Biological Sciences. 2008;11(8):1142–1146. doi: 10.3923/pjbs.2008.1142.1146. [DOI] [PubMed] [Google Scholar]
- 14.Mortazavi SMJ, Mosleh-Shirazi MA, Tavassoli AR, Taheri M, Mehdizadeh AR, Namazi SAS, et al. Increased Radioresistance to Lethal Doses of Gamma Rays in Mice and Rats after Exposure to Microwave Radiation Emitted by a GSM Mobile Phone Simulator. Dose Response. 2012 doi: 10.2203/dose-response.12-010.Mortazavi. in press. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Mortazavi SMJ, Motamedifar M, Namdari G, Taheri M, Mortazavi AR. Counterbalancing Immunosuppression-Induced Infections during Long Term Stay of Humans in Space. Journal of Medical Hypotheses and Ideas, 2012;7:8–10. [Google Scholar]
- 16.Mortazavi SMJ. Space research and EMF-induced adaptive responses. Journal of Medical Hypotheses and Ideas, 2012;7:1–2. [Google Scholar]
- 17.Noorbala AA, Bagheri Yazdi SA, Yasamy MT, Mohammad K. Mental health survey of the adult population in Iran. Br J Psychiatry. 2004;184:70–73. doi: 10.1192/bjp.184.1.70. [DOI] [PubMed] [Google Scholar]
- 18.Bracy O. Psychological Software Services. in Version 95. PSS CogRehab; Indianapolis: 1995. [Google Scholar]
- 19.Liu X, Yan SW, Ding XP, Zhang N, Lu HO, Tang J. Evaluation of radiation damage to the sperm DNA of radar operators. Zhonghua Nan Ke Xue. 2003;9(7):494–496. 500. [PubMed] [Google Scholar]
- 20.Ding XP, Yan SW, Zhang N, Tang J, Lu HO, Wang XL, et al. A cross-sectional study on nonionizing radiation to male fertility. Zhonghua Liu Xing Bing Xue Za Zhi. 2004;25(1):40–43. [PubMed] [Google Scholar]
- 21.Garaj-Vrhovac V. Micronucleus assay and lymphocyte mitotic activity in risk assessment of occupational exposure to microwave radiation. Chemosphere. 1999;39(13):2301–2312. doi: 10.1016/s0045-6535(99)00139-3. [DOI] [PubMed] [Google Scholar]
- 22.Moszczynski P, Lisiewicz J, Dmoch A, Zabinski Z, Bergier L, Rucinska M, et al. The effect of various occupational exposures to microwave radiation on the concentrations of immunoglobulins and T lymphocyte subsets. Wiad Lek. 1999;52(1–2):30–34. (in pol) [PubMed] [Google Scholar]
- 23.Ustun B, Jakob R. Re-defining ‘Health. Bulletin of the World Health Organization. 2005;83:802. [PMC free article] [PubMed] [Google Scholar]
- 24.Ahlbom A, Bridges J, de Seze R, Hillert L, Juutilainen J, Mattsson MO, et al. Possible effects of electromagnetic fields (EMF) on human health--opinion of the scientific committee on emerging and newly identified health risks (SCENIHR) Toxicology. 2008;246(2–3):248–250. doi: 10.1016/j.tox.2008.02.004. [DOI] [PubMed] [Google Scholar]
- 25.Asanova TP, Rakov AN. The State of Health Of Persons Working in the Electric Field of Outdoor 400 kV and 500 kV Switchyards. Piscataway, NJ: Institute of Electrical and Electronic Engineers, Power Engineering Society; 1972. p. 10. [Google Scholar]
- 26.Ahlbom IC, Cardis E, Green A, Linet M, Savitz D, Swerdlow A. Review of the epidemiologic literature on EMF and Health. Environ Health Perspect. 2001;109(Suppl 6):911–933. doi: 10.1289/ehp.109-1240626. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Abramson MJ, Benke GP, Dimitriadis C, Inyang IO, Sim MR, Wolfe RS, et al. Mobile telephone use is associated with changes in cognitive function in young adolescents. Bioelectromagnetics. 2009;30(8):678–686. doi: 10.1002/bem.20534. [DOI] [PubMed] [Google Scholar]
- 28.Baliatsas C, Van Kamp I, Bolte J, Schipper M, Yzermans J, Lebret E. Non-specific physical symptoms and electromagnetic field exposure in the general population: Can we get more specific? A systematic review. Environ Int. 2012;41C:15–28. doi: 10.1016/j.envint.2011.12.002. [DOI] [PubMed] [Google Scholar]