Skip to content


  • Research article
  • Open Access

Effect of extremely low frequency electromagnetic field exposure on sleep quality in high voltage substations

  • 1,
  • 2Email author,
  • 3,
  • 1 and
  • 4
Iranian Journal of Environmental Health Science & Engineering20129:15

  • Received: 19 November 2012
  • Accepted: 20 November 2012
  • Published:


This study aims to investigate the effect of extremely low frequency electromagnetic fields exposure on sleep quality in high voltage substations (132, 230 and 400 KV) in Kerman city and the suburbs. For this purpose, the electric field intensity and magnetic flux density were measured in different parts of substations, and then the occupational exposure was estimated by averaging electric field intensity and magnetic flux density in a shift work. The cases comprised 67 workers who had been exposed to electromagnetic fields in age range of 24–57 and the controls were 110 persons the age ranged 24–50 years. Sleep quality of both groups was evaluated by the Pittsburgh Sleep Quality Index questionnaire (PSQI). Finally, these data were subjected to statistical analysis. The results indicated that 90.5% of cases and 85.3% of controls had the poor quality sleep according to PSQI (P-value=0.615). Total sleep quality score mean for the case and control groups were 10.22 ± 3.4 and 9.74 ± 3.62 (P-value=0.415) ,respectively. Meantime to fall asleep for cases(35.68 ± 26.25 min) was significantly higher than for controls (28.89 ± 20.18 min) (P-value=0.002). Cases had average sleep duration of 5.49 ± 1.31 hours, which was lower ascompared with control subjects (5.90 ± 1.67hours). Although there was a higher percentage for the case group with poor sleep quality than the control group, but no statistically significant difference was observed.


  • Electric and magnetic field
  • Extremely low-frequency
  • Sleep quality
  • Pittsburgh sleep quality index


Electromagnetic fields (EMFs) are produced by production, transmission, and use of electrical devices such as power lines, electrical wiring, transformers and electrical equipments, so each person in the society can be exposed to them [1]. Extremely low frequency (ELF) fields includes alternating current (AC) fields and other electromagnetic, and non-ionizing radiation from 3Hz to 300Hz [2]. Electric power substations, transmission lines, distribution lines, industrial devices as well as electric appliances are some of the commonly known sources of ELF magnetic fields in the environment. Since many substations are surrounded by residential or commercial areas, people living nearthemand alsopersonnel working in the substations may be exposed to high ELF magnetic fields [3]. As a result, it is necessary to assess personal exposure to ELF magnetic fields and the effects of them [4].

Recent studies have been done mostly on the health effects of exposure to non-ionizing low frequency radiation. It has been shown that different types of animals, and humansare sensitive even to minor exposure to electromagnetic fields [3, 5]. Public concerns have been raised about possible effects of exposure to electromagnetic fields on human health and [2]. EMF can lead to rapid aging and have a significant impact on metabolic systems including elevated blood glucose levels, elevation in lipid levels, increased neuroregulatory disturbances, decreased testosterone levels in males and impacts on the Central nervous system (CNS), cardiovascular, and immune systems amongst other issues. EMFs have an effect on raised blood pressure, pulse rate and affecting other dynamics of cardiovascular function [6, 7]. Recently, several studies reported that extremely low-frequency magnetic field exposure might disrupt normal sleep [2]. Asanova and Rakov were the first to note that occupational exposure to power frequency electric and magnetic fields might have a detrimental influence on night sleep. Akorstedt observed that magnetic field exposure was associated with a significant reduction in the duration of slow wave sleep (sleep stages III and IV) [8]. In 2009, Sharifi reported the prolonged exposure to magnetic fields of 230 kV high voltage substations can cause to increase the psychiatric disorders like sleep disturbance, despite that the exposure level was lower than occupational permissible limits (ICNIRP) [9]. Yousefi observed magnetic field exposure can exacerbate some psychological problems. He considered 103 workers in Tehran high voltage substations. Thesymptoms of depression, paranoia, intellectual and practical obsession, interpersonal sensitivity, anxiety, hostility, phobia and psychosis were observed based on questionnaire results [10].

Sleep, a complex biological process controlled by the central nervous system, is necessary for proper cognitive, metabolic, and immune function [8].We spend a third of our life asleep because sleep is vital to everyone. Studies have shown a direct link between the amount and quality of sleep and our abilities of the next day and also disruption to sleep, especially ongoing problems, affects our quality of life and can have a bad effect on our health and general well-being [11]. Night sleep is tonic and will help to daily good performance [12]. Sleep allows our body and mind to rest [13]. Graham and Cook reported that an intermittent, but not a continuous, magnetic field exposure may disrupt sleep. Electro-biological research of sleep showed that EMF at night has more severe effects on health in comparision to EMF radiation in day time [2]. Poor sleep quality has been associated with increased tension, irritability, depression, confusion and generally lower life satisfaction [14]. Poor sleep quality reduces longevity from 80 years to 65–70 years [15]. Since poor sleep quality is associated with numerous health problems (gastrointestinal disorders, depression, exacerbation of chronic disease) and extremely low frequencies are in the frequency ranges of brain waves and also they have more impact on employee performance, we the sleep quality in the workers of high voltage substations in the city of Kerman and its suburbs was assessed. Kerman is the largest and most developed city in the Kerman Province and also the major city in South-East of Iran.In addition, workers in high voltage electricity substations are exposed to ELFMF more than other people [2].

Materials and methods

The domain of the activity taken into account was 132, 230 and 400 KV substations in Kerman city and its suburbs (Baghyn, Kerman, Shahab, Tavakol Abad, Zangy Abad, Rhine, Mahan, Syrach and Nirogah). In order to assess the effect of ELFMF exposure on sleep quality in these substations, a case–control study was carried out. The cases comprised 67 workers who had been exposed to electromagnetic fields in the age range 24–57 years and the controls were 110 people in the age range of 24–50 years. In 132 KV substations, 41 cases of were chosen, 20 person in 230 KV substations; and the rest were in the 400 KV substations. all participants were male. Workers of cement factory, Barez tire and Bahonar copper industries constituted the control group who worked in same geographic space of high voltage substations but were far from them. Since high voltage substation operators were the shift workers; control group was selected from shift workers too. Another reason for choosing shift workers was to moderate the effect of shift work on sleep quality in both groups, because the change in circadian rhythm is one of the main causes of sleep disorder in shift workers [1619]. Smokers, people with cardiovascular, pulmonary, diabetes and other diseases were excluded by the demographic questionnaire to prevent the interference in sleep. 15 high voltage substations, three 230 KV substations and twelve 132KV substations, and one ultra-high voltage substation (400 kV) were inspected. Then, the stations were determined according to the area of each substation, the amount of time that an operator spent in different parts and the distance from equipment. Finally, number of samples was determined in each substation and electric field intensity and magnetic-flux density were measured based on standard IEEESTD 644 – 1994 [20].

HI-3604 ELF survey meter is used to measure the magnetic flux density and electric field intensity. This device is designed for frequency range of 30–2000 Hz. Its sensitivity is 0.2 mm to 20 Gauss and 1 V/m to 200 kV/m. The electric field strength under power lines was measured at a height of 1 m above ground level. The probe was oriented to read the vertical E-field, because this quantity is often used to characterize induction effects in objects close to ground level. The distance between the electric field strength meter and operator was at least 2.5 m. The distance between the meter and nonpermanent objects was at least three times the height of the object in order to measure the unperturbed field value. The distance between the meter and permanent objects was ~1 m or more to ensure sufficient measurement accuracy of the ambient perturbed field. A remote control system was used to read the electric field values [21, 22]. The consumption load of each substation was recorded during measurements. Since weather conditions can affect the results, all measurements were done between the hours of 4 to 9 pm in summer and in the sunny days.

Occupational exposure (time-weighted average ;TWA) to ELF electromagnetic fields in a shift work was calculated by following equation:
B C = B t i × h i h


BC = Occupational exposure

B(t)i= The mean magnetic flux density in different parts of each substation

hi= The mean time spent by operator for a specific duty in different parts of substations(hour)

h=Time shift (24 hours and 12 hours) [2325].

Finally the results were compared with standard ICNRIP [26, 27].

Data collection tool for investigating the operator's sleep quality was the Pittsburgh Sleep Quality Index questionnaire (PSQI). Validity of this questionnaire using Cronbach's alpha coefficient is 0.83 [14, 28]. It checks the patient attitude about sleep quality in a one-month period. The seven component-scores are then summed to yield a global PSQI score, which has a range of 0–21; higher scores indicate worse sleep quality. These components are: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleeping medications, and daytime dysfunction. Previous studies have shown a remarkable agreement between the results of PSQI and sleep laboratory studies using polysomnography (PSG). Each questionnaire scale takes score of zero to three. Score of zero, one, two and three respectively in each scale represents the normal situation, mild, moderate and severe problem.Total score five and less means having a good sleep quality and score six and higher means having a poor sleep quality [14, 2933].

Before handing out the questionnaire the researcher explained the aims of the research and the method of questionnaire completion.Case and control subjects completed the questionnaire on three consecutive days. Totally 531 questionnaires were collected: 330 questionnaires for control group and 201 questionnaires from case group. In addition, the demographic questionnaire was completed by both groups. Finally the collected data were analyzed using descriptive statistical methods, independent-samples t-test, repeated measures (ANOVA), Chi - square and Pearson correlation.


Total number of measurement points was 2583 of which 1343 were related to the magnetic fields and 1240 to electric fields. We tried to determine whether the field levels exceeded or not the reference levels of the ICNIRP guidelines. Result showed that the occupational exposure to an intensity of electric field mean (E) and magnetic flux density mean (B) was below the recommended level (E> 10 kV/m and B >5000 mG) (Table 1). According to demographic data, mean age and body mass index (BMI) in the case group were 34.66 ± 9.18 yr, 24.45 ± 3.73 kg/m2 respectively and in the control group were 34.46 ± 6.13 yr, 25.1 ± 4.57 kg/m2. Age and BMI were not significantly different between the two groups (P-value=0.348, and 0.257, respectively). According to statistical analysis, the difference of marital status between the two groups was not statistically significant (P-value=0.132), but there was a statistically significant difference between the education level of case and control groups (P-value<0.0001).
Table 1

Mean (standard deviation) of intensity electric field (kV/m) and magnetic flux density (mG) received by operators in a shift work


Number of substations

Number of operators

Number of measurement points

Mean (SD) intensity electric field

Mean (SD) magnetic flux density

132 KV






230 KV






400 KV






According to the results presented in Table 2, the average score of the PSQI was in cases 10.22 ± 3.4 and controls 9.74 ± 3.62 for case and content groups, respectively and no significant differences were seen between groups (P-value =0.415). Also, PSQI score was not significantly different between first, second and third times of the two groups (P-value =0.385, 0.672, 0.296, respectively). As mentioned above education level did not indicate a statistically significant difference between the two groups, so the relationship between education and quality of sleep in two groups was evaluated by repeated measures (ANOVA test). The result of this analysis show thatthere was no significant difference between education and quality of sleep (P-value=0.264). Percentage of good sleep quality in cases group was 9.5% and percentage of poor sleep quality was 90.5%. These values in control group were 11.4%, and 85.3% respectively. Number of mean total PSQI scorein terms of being good and poor were not significantly differenent between groups (P-value =0.615).
Table 2

Mean (SD) PSQI score of case and control groups in three times (Independent-samples t- test)

Sleep Quality Total score



































Mean PSQI total









Numbers of good or poor sleep quality did not show significant difference between first, second and third timesin the two groups (P-value =0.35, 0.78 and 0.78, respectively) (Table 3). Table 4 shows there was a linear relationship betweenoccupational exposure to mean intensity of electric field and magnetic flux density and their sleep quality score in every three times in different substations . This relationship became statistically significant. Exposure and sleep quality score are shown as scatter plot (Figure 1). Mean sleep quality scores in 132, 230 and 400 KVsubstations were 9.22 ± 3.14, 11.55 ± 3.4 and 11.77 ± 2.62, respectively (P-value<0.0001).
Table 3

Number and percentage of good and poor sleep quality in cases and controls (Chi- square test)

Sleep quality total score




Control number (%)

Case number (%)




13 (10.5)

5 (7.5)




97 (78.2)

62 (92.5)




13 (10.5)

7 (10.4)




97 (78.2)

60 (89.6)




13 (10.5)

7 (35)




97 (78.2)

60 (89.6)


Mean PSQI total


39 (11.4)

19 (9.5)




291 (85.3)

182 (90.5)

Table 4

Correlation coefficient between average electric field intensity and magnetic flux density and PSQI total score (Pearson correlation test)

Case group

Sleep quality score in first time

Sleep quality score in second time

Sleep quality score in third time

Average magnetic flux density




P- value




Average electric field intensity




P- value




Figure 1
Figure 1

Occupational exposure to mean electric field intensity and magnetic flux density and its relationship with sleep quality score in three times.

According to the results presented in Table 5, statistically significant finding was not found in PSQI Component Scoresbetween groups (P-value =0.156). The time interval mean going to bed for falling asleep , and duration of actual sleep in both groups showed statistically significant difference respectively, (P-value =0.002 and 0.002).
Table 5

PSQI component scores (Mean & SD) in case and control group (independent-samples t- test)



First time

Second time

Third time








P- value



Subjective sleep quality




















Sleep latency



















Sleep duration



















Habitual sleep efficiency



















Sleep disturbances



















Sleep medication







































The impacts of the extremely low frequency (ELF) on sleep quality in high voltage substations in Kerman province were surveyed in a case–control study. The results indicated that sleep quality was poor in both groups, but larger number of case group had poor sleep quality than control group. This can be related to exposure to ELF electromagnetic fields. However, poor sleep quality was not significantly different between the two groups. The control group has less education level than the case group and this is why they are employed in difficult jobs. Hard work, poor working conditions, high workload, occupational status and fatigue are the causes of their poor sleep quality [34, 35] .Electric and Magnetic field levels in the inspected substations were much below the standard levels for occupational exposure set by ICNIRP. This result is consistent with the findings of Korpinen study. They reported that occupational exposure to magnetic and electrical fields in different tasks in 110 KV high voltage substations has not gone beyond ICNIRP levels [36]. According to the present study, occupational exposure to average electric field intensity and magnetic flux density and PSQI total score revealed a direct relationship. This relationship can be also a reason for the poor sleep quality in the case group, and indicate that long-term exposure to ELF electromagnetic fields, even less than the permissible exposure limit, can lead to poor sleep quality. Our finding matches up with Sharifi’s study in which it was reported a long time exposure to magnetic fields in the 230 kV substations can cause to increase psychiatric disorders including sleep disorder, despite magnetic field levels were much below the reference levels of ICNIRP [9]. [8] reported the sleep disorders were directly associated with the magnetic field exposure. This study confirms there is a linear relationship between exposure to magnetic fields and sleep disorders [8].

Average time to fall asleep and hours of actual sleep for case group were more than the control group. Electrical substations operators spent more time in bed without sleeping than others. Our finding can approve the effect of ELF electromagnetic fields on sleep quality. Akerstedt in 1999 assessed the sleep parameters using an electroencephalogram (EEG). They showed continuous exposure of healthy subjects to 50 Hz frequency and0.1 mG magnetic fields at the night resulted in sleep disorders. Total sleep time; sleep efficiency, sleep slow waves (stages III and V) and slow-wave activity decreased significantly related to magnetic field exposure [34]. In 1999, Graham and Cook also implied that the intermittent exposure to 60 Hz frequency and 2.8 mG magnetic fields can result in decreasing totalsleep time, decreasing sleep efficiency, increasing time in the second stage of sleep, reducing rapid eye movement (REM), and lengthening the delay to rapid eye movement (R.E.M.) sleep [37].

Although two above studies prove that magnetic field exposure severe reduction of total sleep time, but it is difficult to compare directly the two studies to ours because they examined the sleep quality in the laboratory by electro-encephalogram and under controlled conditions, and also there was0.1 mG continuous exposure [34] and 2.8 mG intermittent exposure [8] to magnetic fields, whereas the sleep quality of the present study was evaluated by questionnaire and there was continuous exposure to magnetic flux density 2.32, 7.49 and 7.51 mG.

Seung Cheol Hong reported that there is no significant difference between the exposure to ELF electromagnetic fields and the mean sleep duration and waking times. The magnetic field levels, on average, were 0.7 μT in head, 8.3 μT in lumbar and 3.5 μT in leg. An electrical page produced the magnetic fields and 9 people were studied for 11 weeks [38]. The various work conditions, method for assessing sleep quality, devices which produce electromagnetic radiation, the number of individuals, magnetic flux density and duration of exposure can be the reasons for difference between the mentioned study and our findings.

Roosli in 2004 reported that among symptoms attributed to electromagnetic field exposure, sleep disorders (58%), headaches (41%), nervousness or distress (19%), fatigue (18%), and concentration difficulties (16%) were the most common complaints [39] .

Schreier showed a 5% prevalence of hypersensitivity to electromagnetic fields. The most complaints were related to sleep disorders (43%) and headache (34%) [40]. Wagner observed no statistically significant difference in sleep quality within participants who were or not were exposed to electromagnetic fields. Radio frequency (RF) (900 MHz and 217 KHz) was used and there was the continuous exposure to them at night. Electro-encephalogram was applied to evaluate the sleep quality [41]. Hutter assessed subjective symptoms, sleeping problems, and cognitive performance in subjects living near mobile phone base stations. Total HF-EMF and exposure related to mobile telecommunication were far below recommended levels (max. 4.1 mW/m2). Average power density was slightly higher in the rural area (0.05 mW/m2) than in the urban area (0.02 mW/m2). Despite the influence of confounding variables, including fear of adverse effects from exposure to HF-EMF from the base station, there was a significant relation of some symptoms to measured power density; this was highest for headaches [42].


The results presented in this paper showed a positive correlation coefficient between occupational exposures to ELF electromagnetic fields and sleep quality score, so it cannot reject the impact of the fields on sleep quality. Since other finding indicated the weak electromagnetic fields can have the biological effects and reducing work hours can prevent their biological effects.

Finally, exposure to electromagnetic fields or EMF has raised concern on the possible health effects of them; therefore they have become an interest issue for a great numbered people (especially people who live near power lines) and are an active area of biophysical research; but for providing more accurate results, much more research is needed.

Although many factors can affect sleep quality, it was tried to eliminate the maximum of confounding variables. It is suggested to complete this study in subsequent research, for example it is useful to measure the impact of job stress variables (such as: overtime, low social support, physically grueling jobs, part-time work) on sleep quality [4345]. In this study, subjective sleep quality was measured, but for more accurate results it is necessary to assess the objective factors of sleep in high voltage substations using polysomnography that is a gold- standard test for the diagnosis of sleep disorders.


PSQI: Pittsburgh sleep quality index; EMF: Electric and magnetic field; ELF: Extremely low-frequency; ELFMF: Extremely low-frequency magnetic field; ICNIRP: International commission on non-ionizing radiation protection.



The authors would like to thank all workers who participated in this study. Many thanks also go to management of Kerman regional electric company and deputy for health of Kerman University of Medical Sciences as well as the head of occupational health department, Tehran University of medical sciences.

Authors’ Affiliations

Department of Occupational Health, School of Public Health, Kerman University of Medical Sciences, Kerman, Iran
Department of Occupational Health, School of Public Health and Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran
Department of Epidemiology, School of Public Health, Kerman University of Medical Sciences, Kerman, Iran
Department of Occupational Health, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran


  1. International Agency for Research on Cancer (IARC): Non-Ionizing Radiation, Part 1: Static and Extremely Low-Frequency (ELF) Electric and Magnetic Fields. IARC Monogr Eval Carcinog Risks Hum. 2002, 80: 1-395.Google Scholar
  2. Tworoger SS, Davis S, Emerson SS, Mirick DK, Lentz MJ, McTiernan A: Effect of a nighttime magnetic field exposure on sleep patterns in young women. Am J Epidemiol. 2004, 160 (3): 224-9. 10.1093/aje/kwh215.View ArticleGoogle Scholar
  3. Margallo VAC: Extremely Low Frequency (ELF) magnetic field exposure assessment of two 100 MVA electric power substations in the Philippines. 2009, Chiang Mai, Thailand: 9th Asia-Oceania Congress of Medical Physics & 7th South-East Asian Congress of Medical Physics, October 22-24Google Scholar
  4. Suhnel J, Berg H: Biological Effects of Electromagnetic Fields (Mechanisms, Modeling, Biological Effects, Therapeutic Effects, International Standards, Exposure Criteria) - P. Stavroulakis (editor), Springer Verlag, Heidelberg, Berlin, 2003, ISBN 3-540-42989-1, xv+ 793 pages, Euro 149.00. Bioelectrochemistry. 2003, 61 (1): 109-110. 10.1016/j.bioelechem.2003.09.002.View ArticleGoogle Scholar
  5. Marino AA, Becker RO: Biological effects of extremely low frequency electric and magnetic fields: a review. Physiol Chem Phys. 1977, 9 (2): 131-147.Google Scholar
  6. Zahiroddin AR, Shafiee Kandjani AR, Mahdavi Hezaveh N: Mental health status of employees in substations of electromagnetic fields at extremely low frequency in Tehran. Iran J Environ Health Sci Eng. 2006, 3 (3): 217-221.Google Scholar
  7. Ahmadi H, Mohseni S, Shayegani Akmal AA: Electromagnetic fields near transmission lines – problems and solutions. Iran J Environ Health Sci Eng. 2010, 7 (2): 181-188.Google Scholar
  8. Graham C, Cook MR: Human sleep in 60 Hz magnetic fields. Bioelectromagnetics. 1999, 20 (5): 277-283. 10.1002/(SICI)1521-186X(1999)20:5<277::AID-BEM3>3.0.CO;2-U.View ArticleGoogle Scholar
  9. Sharifi M, Nasiri P, Monazzam MR: Measurement of the Magnetic Fields from High-Voltage (230 kV) Substations in Tehran and Assessment of Their Effects. Iranian J Med Phys. 2010, 7 (3): 49-56.Google Scholar
  10. Yousefi HA, Nasiri P: Psychological Effect of Occupational Exposure to Electromagnetic Fields. J ResHealth Sci. 2006, 6 (1): 18-21.Google Scholar
  11. Strine TW, Chapman DP: Associations of frequent sleep insufficiency with health-related quality of life and health behaviors. Sleep Med. 2005, 6 (1): 23-27. 10.1016/j.sleep.2004.06.003.View ArticleGoogle Scholar
  12. National Institute of Environmental Health Sciences (NIEHS): Health Effects from exposure to power- line frequency electric and magnetic fields. 1999, NIH (National Institutes of Health) Publication No. 99–4493Google Scholar
  13. Ellis J: Promoting mental health in students: is there a role for sleep?. J R Soc Promot Health. 2004, 124: 129-133. 10.1177/146642400412400314.View ArticleGoogle Scholar
  14. Aloba OO, Adewuya AO, Ola BA, Mapayi BM: Validity of the Pittsburgh Sleep Quality Index (PSQI) among Nigerian university students. Sleep Med. 2007, 8 (3): 266-270. 10.1016/j.sleep.2006.08.003.View ArticleGoogle Scholar
  15. Doering U: Electro Smog – A Danger To Health. 2007, Accessed June 30, 2012Google Scholar
  16. Akerstedt T: Sleepiness. Sleep Med Rev. 1998, 2 (1): 1-2. 10.1016/S1087-0792(98)90049-1.View ArticleGoogle Scholar
  17. Akerstedt T: Shift work and disturbed sleep/wakefulness. Occup Med. 2003, 53: 89-94. 10.1093/occmed/kqg046.View ArticleGoogle Scholar
  18. Akerstedt T: Shift work and sleep disorders. Sleep. 2005, 28 (1): 9-11.Google Scholar
  19. Akerstedt T, Ingre M, Broman JE, Kecklund G: Disturbed sleep in shift workers, day workers, and insomniacs. Chronobiol Int. 2008, 25 (2): 333-48. 10.1080/07420520802113922.View ArticleGoogle Scholar
  20. Institute of Electrical & Electronics Engineers (IEEE): IEEE Standard Procedures for Measurement of Power Frequency Electric and Magnetic Fields from AC Power lines. 1994, [Standard] IEEEGoogle Scholar
  21. Malfait A, Hameyer K, Belmans R: Measuring the electric and magnetic fields. 1995, Waltham-Massachusetts, USA: IEEE Instrumentation/Measurement Technology Conference, April 24–26View ArticleGoogle Scholar
  22. Holaday Industries Inc: HI-3604 ELF survey meter user’s manual. 2008, Accessed June 30, 2012Google Scholar
  23. Sakurazawa H, Iwasaki A, Higashi T, Nakayama T, Kusaka Y: Assessment of exposure to magnetic fields in occupational settings. J Occup Health. 2003, 45 (2): 104-110. 10.1539/joh.45.104.View ArticleGoogle Scholar
  24. Paniagua JM, Jiménez A, Rufo M, Gutiérrez JA, Gómez FJ, Antolín A: Exposure to extremely low frequency magnetic fields in an urban area. Radiat Environ Biophys. 2007, 46 (1): 69-76. 10.1007/s00411-006-0081-0.View ArticleGoogle Scholar
  25. Gobba F, Bargellini A, Scaringi M, Bravo G, Borella P: Extremely low frequency-magnetic fields (ELF-EMF) occupational exposure and natural killer activity in peripheral blood lymphocytes. Sci Total Environ. 2009, 407 (3): 1218-23. 10.1016/j.scitotenv.2008.08.012.View ArticleGoogle Scholar
  26. Herbertz J: Comment on the ICNIRP guidelines for limiting exposure to time-varying electric, magnetic, and electromagnetic fields (up to 300 GHz). Health Phys. 1998, 75 (5): 535-Google Scholar
  27. International Commission on Non-Ionizing Radiation Protection: ICNIRP statement on the "Guidelines for limiting exposure to time-varying electric, magnetic, and electromagnetic fields (up to 300 GHz). Health Phys. 2009, 97 (3): 257-258.View ArticleGoogle Scholar
  28. Tavalaei SA, Asaari SH, Habibi M: Subjective sleep quality in chemical warfare veterans. Iranian J Psychiatry Clin Psychol. 2006, 12 (3 (46)): 263-269.Google Scholar
  29. Buysse DJ, Reynolds CF, Monk TH, Berman SR, Kupfer DJ: The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989, 28 (2): 193-213. 10.1016/0165-1781(89)90047-4.View ArticleGoogle Scholar
  30. Koops FB: New ICNIRP guidelines for human exposure to 50 Hz E- and M-fields. Health Phys. 1998, 75 (4): 437-438.Google Scholar
  31. Smyth C: The Pittsburgh Sleep Quality Index (PSQI). Insight. 2000, 25 (3): 97-8.Google Scholar
  32. Shochat T, Tzischinsky O, Oksenberg A, Peled R: Validation of the Pittsburgh Sleep Quality Index Hebrew translation (PSQI-H) in a sleep clinic sample. Isr Med Assoc J. 2007, 9 (12): 853-856.Google Scholar
  33. Buysse DJ, Hall ML, Strollo PJ, Kamarck TW, Owens J, Lee L, Reis SE, Matthews KA: Relationships between the Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), and clinical/polysomnographic measures in a community sample. J Clin Sleep Med. 2008, 4 (6): 563-571.Google Scholar
  34. Akerstedt T, Arnetz B, Ficca G, Paulsson LE, Kallner A: A 50-Hz electromagnetic field impairs sleep. J Sleep Res. 1999, 8 (1): 77-81. 10.1046/j.1365-2869.1999.00100.x.View ArticleGoogle Scholar
  35. Dahlgren A, Kecklund G, Akerstedt T: Overtime work and its effects on sleep, sleepiness, cortisol and blood pressure in an experimental field study. Scand J Work Environ Health. 2006, 32 (4): 318-27. 10.5271/sjweh.1016.View ArticleGoogle Scholar
  36. Korpinen LH, Paakkonen RJ: Occupational exposure to electric and magnetic fields during work tasks at 110 kV substations in the Tampere region. Bioelectromagnetics. 2010, 31 (3): 252-254.Google Scholar
  37. Wilson W: Electrical & EMF pollution & potential human effects. 2008, Accessed June 30, 2012Google Scholar
  38. Hong SC, Kurokawa Y, Kabuto M, Ohtsuka R: Chronic exposure to ELF magnetic fields during night sleep with electric sheet: effects on diurnal melatonin rhythms in men. Bioelectromagnetics. 2001, 22 (2): 138-43. 10.1002/1521-186X(200102)22:2<138::AID-BEM1017>3.0.CO;2-G.View ArticleGoogle Scholar
  39. Röösli M, Moser M, Baldinini Y, Meier M, Braun-Fahrländer C: Symptoms of ill health ascribed to electromagnetic field exposure–a questionnaire survey. Int J Hyg Environ Health. 2004, 207 (2): 141-50. 10.1078/1438-4639-00269.View ArticleGoogle Scholar
  40. Schreier N, Huss A, Roosli M: The prevalence of symptoms attributed to electromagnetic field exposure: a cross-sectional representative survey in Switzerland. SozPraventivmed. 2006, 51 (4): 202-9.Google Scholar
  41. Wagner P, Röschke J, Mann K, Hiller W, Frank C: Human sleep under the influence of pulsed radiofrequency electromagnetic fields: a polysomnographic study using standardized conditions. Bioelectromagnetics. 1998, 19 (3): 199-202. 10.1002/(SICI)1521-186X(1998)19:3<199::AID-BEM8>3.0.CO;2-X.View ArticleGoogle Scholar
  42. Hutter HP, Moshammer H, Wallner P, Kundi M: Subjective symptoms, sleeping problems, and cognitive performance in subjects living near mobile phone base stations. Occup Environ Med. 2006, 63 (5): 307-13. 10.1136/oem.2005.020784.View ArticleGoogle Scholar
  43. Akerstedt T, Knutsson A, Westerholm P, Theorell T, Alfredsson L, Kecklund G: Sleep disturbances, work stress and work hours: a cross-sectional study. J Psychosom Res. 2002, 53 (3): 741-748. 10.1016/S0022-3999(02)00333-1.View ArticleGoogle Scholar
  44. Akerstedt T, Knutsson A, Westerholm P, Theorell T, Alfredsson L, Kecklund G: Mental fatigue, work and sleep. J Psychosom Res. 2004, 57 (5): 427-33. 10.1016/j.jpsychores.2003.12.001.View ArticleGoogle Scholar
  45. Akerstedt T, Wright KP: Sleep Loss and Fatigue in Shift Work and Shift Work Disorder. Sleep Med Clin. 2009, 4 (2): 257-271. 10.1016/j.jsmc.2009.03.001.View ArticleGoogle Scholar


© Barsam et al.; licensee BioMed Central Ltd. 2012

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.