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Association of Exposure to Radio-Frequency Electromagnetic Field Radiation (RF-EMFR) Generated by Mobile Phone Base Stations with Glycated Hemoglobin (HbA1c) and Risk of Type 2 Diabetes Mellitus

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Abstract: Installation of mobile phone base stations in residential areas has initiated public debate about possible adverse effects on human health. This study aimed to determine the association of exposure to radio frequency electromagnetic field radiation (RF-EMFR) generated by mobile phone base stations with glycated hemoglobin (HbA1c) and occurrence of type 2 diabetes mellitus. For this study, two different elementary schools (school-1 and school-2) were selected. We recruited 159 students in total; 96 male students from school-1, with age range 12–16 years, and 63 male students with age range 12–17 years from school-2. Mobile phone base stations with towers existed about 200 m away from the school buildings. RF-EMFR was measured inside both schools. In school-1, RF-EMFR was 9.601 nW/cm2 at frequency of 925 MHz, and students had been exposed to RF-EMFR for a duration of 6 h daily, five days in a week. In school-2, RF-EMFR was 1.909 nW/cm2 at frequency of 925 MHz and students had been exposed for 6 h daily, five days in a week. 5–6 mL blood was collected from all the students and HbA1c was OPEN ACCESS Int. J. Environ. Res. Public Health 2015, 12 14520 measured by using a Dimension Xpand Plus Integrated Chemistry System, Siemens. The mean HbA1c for the students who were exposed to high RF-EMFR was significantly higher (5.44 ± 0.22) than the mean HbA1c for the students who were exposed to low RF-EMFR (5.32 ± 0.34) (p = 0.007). Moreover, students who were exposed to high RF-EMFR generated by MPBS had a significantly higher risk of type 2 diabetes mellitus (p = 0.016) relative to their counterparts who were exposed to low RF-EMFR. It is concluded that exposure to high RF-EMFR generated by MPBS is associated with elevated levels of HbA1c and risk of type 2 diabetes mellitus.
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Int. J. Environ. Res. Public Health 2015, 12, 14519-14528; doi:10.3390/ijerph121114519
International Journal of
Environmental Research and
Public Health
ISSN 1660-4601
www.mdpi.com/journal/ijerph
Article
Association of Exposure to Radio-Frequency Electromagnetic
Field Radiation (RF-EMFR) Generated by Mobile Phone Base
Stations with Glycated Hemoglobin (HbA1c) and Risk of Type 2
Diabetes Mellitus
Sultan Ayoub Meo 1,*, Yazeed Alsubaie 1, Zaid Almubarak 1, Hisham Almutawa 1,
Yazeed AlQasem 1 and Rana Muhammed Hasanato 2
1 Department of Physiology, College of Medicine, King Saud University, P.O. Box 2925,
Riyadh 11461 Saudi Arabia; E-Mails: yazeed-1992-@hotmail.com (Y.A.);
z-almubarak@hotmail.com (Z.A.); hisham-001@hotmail.com (H.A.);
yazeed.alq@gmail.com (Y.A.)
2 Department of Clinical Bio-Chemistry, College of Medicine, King Saud University, P.O. Box 2925,
Riyadh 11461 Saudi Arabia; E-Mail: rhasanato@ksu.edu.sa
* Author to whom correspondence should be addressed; E-Mail: sultanmeo@hotmail.com;
Tel.: +96-611-467-1604; Fax: +96-611-467-2567.
Academic Editor: Omorogieva Ojo
Received: 15 September 2015 / Accepted: 11 November 2015 / Published: 13 November 2015
Abstract: Installation of mobile phone base stations in residential areas has initiated public
debate about possible adverse effects on human health. This study aimed to determine the
association of exposure to radio frequency electromagnetic field radiation (RF-EMFR)
generated by mobile phone base stations with glycated hemoglobin (HbA1c) and
occurrence of type 2 diabetes mellitus. For this study, two different elementary schools
(school-1 and school-2) were selected. We recruited 159 students in total; 96 male
students from school-1, with age range 12–16 years, and 63 male students with age range
12–17 years from school-2. Mobile phone base stations with towers existed about 200 m
away from the school buildings. RF-EMFR was measured inside both schools. In school-1,
RF-EMFR was 9.601 nW/cm2 at frequency of 925 MHz, and students had been exposed to
RF-EMFR for a duration of 6 h daily, five days in a week. In school-2, RF-EMFR was
1.909 nW/cm2 at frequency of 925 MHz and students had been exposed for 6 h daily,
five days in a week. 5–6 mL blood was collected from all the students and HbA1c was
OPEN ACCESS
Int. J. Environ. Res. Public Health 2015, 12 14520
measured by using a Dimension Xpand Plus Integrated Chemistry System, Siemens.
The mean HbA1c for the students who were exposed to high RF-EMFR was significantly
higher (5.44 ± 0.22) than the mean HbA1c for the students who were exposed to low
RF-EMFR (5.32 ± 0.34) (p = 0.007). Moreover, students who were exposed to high
RF-EMFR generated by MPBS had a significantly higher risk of type 2 diabetes mellitus
(p = 0.016) relative to their counterparts who were exposed to low RF-EMFR. It is
concluded that exposure to high RF-EMFR generated by MPBS is associated with elevated
levels of HbA1c and risk of type 2 diabetes mellitus.
Keywords: mobile phone radiation; mobile phone base station; RF-EMFR; HbA1c;
hyperglycemia
1. Introduction
During the last two decades, the use of mobile phones has increased spectacularly among
individuals of all age groups in both developing and developed countries. Mobile phones have become
a prevalent means of communication and a part of everyday life [1]. There are about 7.3 billion mobile
phone subscribers worldwide, almost equal to the world population [2]. Mobile phones are low power
radio devices, transmit and receive radio frequency radiation, and are considered the strongest source
of human exposure to radio frequency electromagnetic field radiation RF-EMFR. The RF-EMFR
generated by mobile phone base stations ranges between 400 MHz and 3 GHz [3–5].
The extensive increase and development of new mobile phone technologies resulted in a major
change of radiofrequency electromagnetic field radiation (RF-EMFR) exposure patterns in everyday
settings [6,7]. To provide better services to the customers, mobile phone companies install base
stations in the residential and commercial areas, including the school buildings, which stirred up
widespread public concern about the hazards of RF-EMF radiation generated by mobile phone base
stations (MPBS). The environment is exposed to RF-EMFR and health effects of RF-EMFR have been
controversially discussed in the literature [8]. RF-EMFR can cause fatigue, headache, dizziness,
tension, sleep disturbance [1], hearing and vision complaints [9]. The WHO International Agency for
Research on Cancer has classified RF-EMFR as possibly carcinogen [10]. RF-EMFR promotes cancer
development via stimulation of cell proliferation and apoptosis inhibition [11].
Presently about 382 million people are suffering from diabetes mellitus, this number is expected to
upsurge to 592 million by 2035 and 183 million people are unaware of their diabetes mellitus [12].
Hemoglobin A1c (HbA1c) reflect the mean glucose concentration over the previous period of about
8–12 weeks. HbA1c is commonly used as a marker of hyperglycemia and an increased HbA1c has
been regarded as an independent and reliable marker for diabetes mellitus [13]. World Health
Organization, the International Diabetes Federation, and the American Diabetes Association have
recently endorsed HbA1c as a diagnostic test for diabetes mellitus [13,14]. To our knowledge, this is
the first study aimed to determine the association of exposure to RF-EMFR generated by MPBS with
HbA1c and incidence of type 2 diabetes mellitus.
Int. J. Environ. Res. Public Health 2015, 12 14521
2. Subjects and Methods
2.1. Subjects
This cross-sectional study was conducted in the Department of Physiology, College of Medicine,
King Saud University, Riyadh, Saudi Arabia. All the subjects and or their parents signed the written
informed consent. The study protocol was approved by the Ethical Review Committee of College of
Medicine Research Centre, King Saud University, Riyadh, Saudi Arabia (IRB-14/412).
Students were recruited based on their voluntary participation, apparently healthy status, same age,
gender, nationality, regional, cultural and socio-economic status. We invited 250 participants
(125 from school-1, and 125 from school-2). A detailed interview was conducted followed by clinical
history taking and examination to assess whether to include in the study or not. All the students were
questioned with regard to anthropometric parameters, age, height, weight, ethnicity, socioeconomic
status, and family history of diabetes mellitus, blood diseases, and cigarette smoking. After clinical
history and examination, finally, we selected 159 apparently healthy, male, volunteer students
(96 from school-1, and 63 from School-2). The age of the students who belonged to the school-1 group
was 12–16 years (mean age 13.98 ± 0.92). The age of the students who belonged to the school-2 group
was 12–17 years (mean age 14.21 ± 1.99).
2.2. Exclusion Criteria
Subjects with known cases of gross anemia, blood diseases, history of blood transfusion,
personal or family history of known diabetes mellitus, students who suffered from marked obesity,
asthma, and students who smoked tobacco were excluded from the study. Moreover, students who
were living (residence) close to the any high transmission lines or MPBS and students who frequently
consumed fast food and excess sweet diet were also excluded from the study. We also excluded the
students who were athletes or performed regular vigorous exercise.
2.3. Methods
2.3.1. Selection of the Schools and Measurement of RF-EMFR
In this study, two different elementary schools (labeled as school-1 and school-2) were selected
from the Riyadh region. Both schools were located close to MPBS. It was ensured that there were no
significant sources of generation and transmission of EMFR in or near the school building. In school-1
MPBS had been installed on the residential building about 200 m away from the school building.
Inside the schools RF-EMF was measured by using the Narda Safety Test Solution SRM-3006.
SRM-3006 is a frequency-selective field strength measurement system, which measures the
RF-EMFR [15]. In this school, the RF-EMF was 9.601 nW/cm2 at frequency of 925 MHz, and students
had been exposed to RF-EMFR for a duration of 6 h daily, five days in a week.
The second school (school-2) was also located close to MPBS. The MPBS was installed on the
residential building about 200 m away from the school building. RF-EMF was 1.909 nW/cm2 at
frequency of 925 MHz and students had been exposed to RF-EMFR for a duration of 6 h daily,
five days in a week. RF-EMFR was measured in both schools in various class rooms. We selected the
Int. J. Environ. Res. Public Health 2015, 12 14522
points to measure RF-EMFR based on the location of class rooms. RF-EMFR was measured at three
different points including the center, as well as the corners, of the class room from which we selected
the students. We recorded the RF-EMFR two times per day at each point. The number of measurement
was the same in the different places in the school.
2.3.2. Blood Sample Collection
All the participants of both schools were allocated a serial number; an expert technician took
5–6 mL of blood with a vein puncture method and blood was collected in 10 mL container containing
ethylenediamine tetra-acetic acid (EDTA). Blood was transferred into a container with specific code
number of the student on the container. The blood was immediately kept in the refrigerator under the
temperature of 4–5 °C. All blood samples were immediately transferred to the hematology laboratory,
to analyze the HbA1c.
2.3.3. Measurements of HbA1c
HbA1c measurements were performed on ethylenediamine tetra-acetic acid (EDTA) blood samples,
and HbA1c was measured by Dimension Xpand Plus Integrated Chemistry System, USA. The HBA1c
assay on the Dimension Xpand Plus Integrated Chemistry System is an in vitro diagnostic assay for the
quantitative determination of HBA1c in human anticoagulant whole blood. The measurement was
based on the principle of turbidimetric inhibition immunoassay (TINIA). Each kit contains matched
sets of HBA1c reagent cartridge and calibrators. These components were not interchangeable between
the kits and other lot numbers. HBA1c required lot specific scalers which were entered before the
calibration. The scaler values were provided on the reagent cartridge. The system was calibrated daily
and a few samples were tested twice to check the accuracy of HbA1c with the Dimension Xpand Plus
Integrated Chemistry System.
2.4. Statistical Analysis
The data were computed into the computer and analyzed by using the Statistical Package for Social
Sciences (SPSS for Windows, version 20.0). Unpaired Student’s t-test (parametric test with the
assumption of equal variances) was applied to check the difference of the means values between the
two quantitative variables. All the variables were entered into a logistic regression model and
results were presented as an odds ratio and 98% confidence interval. The level of significance was
assumed at p < 0.05.
3. Results
Table 1 summarizes the comparison of the anthropometric variables and HbA1c parameters
between the students of two different schools where students had been exposed to RF-EMFR
generated by MPBS at 9.601 nW/cm2 at frequency of 925 MHz for the duration of 6 h daily,
five days per week, over the last two years (school-1). While in the second school, students were
exposed to RF-EMFR of 1.909 nW/cm2 at a frequency of 925 MHz for the duration of 6 h daily,
five days per week, over the last two years (school- 2).The age of the students at school-1 (group 1)
Int. J. Environ. Res. Public Health 2015, 12 14523
was 12–16 years (mean age 13.98 ± 0.92), while the age of the students at second school-2 (group-2)
was 12–17 years (14.21 ± 1.993).
The mean HbA1c for the students who were exposed to high RF-EMFR (9.601 nW/cm2 at
frequency of 925 MHz) was significantly higher (5.4%) than the mean HbA1c for the students who
had been exposed to low RF-EMFR (1.909 nW/cm2 at frequency of 925 MHz) generated by MPBS
was (5.3%) (p = 0.007). The results show students who were exposed to high RF-EMFR have
significantly impaired HbA1c (30, 31.25%) than the students who exposed to low RF-EMFR
(17, 27.0%) (Table 2). It shows an association of RF-EMFR and higher risk of type 2 diabetes among
the students who were exposed to high RF-EMF relative to their counterparts who were exposed to
low radiation (Table 2). Logistic regression analysis showed a significant association with high
RF-EMFR, HbA1c, and risk of type 2 diabetes mellitus (Table 3).
Table 1. Comparison of anthropometric parameters and HBA1c percentage of the
students who were exposed to RF-EMFR generated by mobile phone base stations at
(9.601 nW/cm2 at frequency of 925 MHz) versus the students exposed to RF-EMFR at
(1.909 nW/cm2 at frequency of 925 MHz).
Parameters School Group #1 (n = 96)
RF-EMFR: 9.601 nW/cm2
School Group # 2 (n = 63)
RF-EMFR: 1.909 nW/cm2 p Values
Age (years) 13.98 ± 0.92 14.21 ± 1.003 0.138
BMI (m/kg)2 22.91 ± 5.12 21.47 ± 5.47 0.093
HbA1c (%) 5.445 ± 0.22 5.325 ± 0.34 0.007
Note: Values are presented in mean ± SD.
Table 2. Comparison of prevalence of pre-diabetes mellitus based on HBA1c percentage
of the students exposed to RF-EMFR generated by mobile phone base stations at
(9.601 nW/cm2 at frequency of 925 MHz) versus the students exposed to RF-EMFR at
(1.909 nW/cm2at frequency of 925 MHz).
Parameters School Group #1 (n = 96)
RF-EMFR:9.601 nW/cm2
School Group # 2 (n = 63)
RF-EMFR: 1.909 nW/cm2 p Values
Prevalence of
Impaired HbA1c 5.6
(Prediabetes)
30 (31.25%) 17 (27%) 0.016
Values are presented in %. HbA1c > 5.6 was considered impaired HbA1c (pre diabetes) [16].
Table 3. Logistic regression analysis for variables predicting an association of RF-EMFR
with HbA1c and prevalence of risk of type 2 diabetes mellitus.
Parameters Odds Ratio 95% Confidence Interval p Values
Age (years) 0.67 0.231.92 0.454
Obesity 1.87 0.5396.493 0.324
Underweight 2.79 0.64911.166 0.148
RF-EMFR 342 462530 0.0001
Note: The model predicts 89%.
Int. J. Environ. Res. Public Health 2015, 12 14524
4. Discussion
The findings of this study show that the students who were exposed to high RF-EMF had
significantly higher HbA1c than the students who were exposed to low RF-EMF. Moreover, students
who were exposed to high RF-EMFR generated by MPBS had a significantly higher proportion of
diabetes mellitus relative to the students who were exposed to low RF-EMFR.
HbA1c is well recognized among clinicians as a marker of chronic hyperglycemia, increased
HbA1c has also been regarded as an independent marker for diabetes mellitus [17]. HBA1c has
numerous advantages compared to the Fasting Plasma Glucose (FPG), including greater expediency,
fasting is not mandatory, better pre-analytical stability and less day-to-day worries during a period of
stress and illness. HbA1c has recently been endorsed as a diagnostic test for diabetes by the World
Health Organization, the International Diabetes Federation, as well as the American Diabetes
Association [12,14,17,18].
FPG of 100 mg/dL or 5.6 mmol/L equals to an HbA1c of 5.4% and FPG of 110 mg/dL or 6.1 mmol/L
is parallel to HbA1C of 5.6% [13]. The normal cut-off point of HbA1c is equal to or less than 5.4%.
Compared to the fasting glucose cut point of 100 mg/dL (5.6 mmol/L), the HbA1c cut point of 5.7% is
more specific and has a higher positive predictive value to identify people at risk for development of
diabetes. HbA1c levels below 5.7% may still be at risk to develop diabetes mellitus [13]. Literature
also indicates that subjects within the HbA1C range of 5.5%–6.0% have a five-year cumulative
incidence of diabetes mellitus that ranges from 12% to 25% [19]. In the present study, we found that
the mean HbA1c for the students who were exposed to high RF-EMFR was 5.44% compared to the
mean HbA1c for the students who were exposed to low RF-EMFR 5.32% (Table 1).
4.1. RF-EMFR and HbA1c
The possibility of induction of biological and health effects by low-energy radiation emitted by
MPBS remains a debatable issue. In spite of decades of research, there is still ongoing discussion about
RF-EMFR and physiologically-relevant effects. Literature is available on the association of RF-EMF
with headache, tension, and sleep disorder-like symptoms [1]. In addition, studies have also shown that
RF-EMFR has extensive damaging effects on the nervous system, cardiovascular, and male
reproductive system [20]. RF-EMFR also causes oxidative damage [21] and cancer [22].
Bieńkowski et al. [23] conducted a study and measured the changes in the electromagnetic field
intensity in a school building and its surrounding after the MPBS installation on the roof of the school.
They found that the EMF intensity increased in the building and its surroundings after the MPBS
installation. Shahbazi-Gahrouei [24] conducted a cross-sectional study on people living near the
mobile phone base transceiver stations (BTS). The authors reported that discomfort, irritability,
nausea, headache, dizziness, nervousness, depression, sleep disturbance, memory loss, and decreased
libido were statistically significant among the people living near the BTS antenna (less than 300m
distant) compared to those living far from the BTS antenna (more than 300m). They suggested that
cellular phone BTS towers should not be installed at less than a distance of 300m to human population
to minimize exposure.
Int. J. Environ. Res. Public Health 2015, 12 14525
Meo et al. [25] determined the effects of exposure to RF-EMFR generated by mobile phones on
fasting blood glucose in albino rats. The authors found that, Wister albino rats exposed to RF-EMF
generated by mobile phone for more than 15 min a day for a maximum period of three months had
significantly higher fasting blood glucose and serum insulin compared to the control group. Meo et al. [25]
also reported that increase in fasting blood glucose was due to insulin resistance. In the present study,
we found that students who were exposed to high RF-EMFR generated by MPBS had significantly
higher HbA1c (Table 1) and a higher prevalence of type 2 diabetes mellitus (Table 2) than the students
who were exposed to low RF-EMFR.
Altpeter et al. [26] reported that the incidence for diabetes mellitus was higher among the subjects
living within a close radius of a shortwave transmitter in Schwarzenburg, Switzerland compared with
a population living away from the a shortwave transmitter. There was a significant linear relationship
between RF radiation exposure and prevalence of diabetes mellitus.
Jolley et al. [27] exposed the islets of Langerhans from rabbits to low-frequency pulsed magnetic
fields and noted a significant decrease in insulin release during glucose stimulation compared
to controls. Similarly, Sakurai et al. [28] measured the insulin secretion from an islet cell, exposed
to low-frequency magnetic fields compared with sham exposure group. Insulin secretion was
decreased by about 30% when exposed to low-frequency magnetic fields compared to sham exposure.
Li et al. [29] exposed hepatocytes in vitro to 50 Hz pulsed EMF noted a conformation change in the
insulin molecule. The authors found a decrease in the binding capacity of insulin to its receptors
compared with controls.
Congruently, Havas [30] reported that exposure to electromagnetic pollution cause higher plasma
glucose levels and may contribute to diabetes mellitus. Havas [30] also concludes that decreased
insulin secretion and reduced binding capacity of insulin to its receptors may explain the elevated
levels of plasma glucose in subjects exposed to electromagnetic fields. Similarly, in the present study,
we found that students who were exposed to high RF-EMFR generated by MPBS had significantly
higher HbA1c and risk of type 2 diabetes mellitus than the students who were exposed to low
RF-EMFR. Choi et al., 2011 [31] reported that individuals with HbA1c 5.5 is a normal; 5.6 to 6.9 is
impaired HbA1c or pre-diabetes, and HbA1c 7.0 considered as a diabetes. They also reported that
HbA1c 5.6% have an increased risk for future diabetes. In our study, we found that students
who were exposed to high RF-EMFR have significantly higher HbA1c than the mean HbA1c for the
students who had been exposed to low RF-EMFR. Moreover, students exposed to high
RF-EMFR have significantly impaired HbA1c (31.25%) than the students who exposed to low
RF-EMFR (27.0%).
4.2. What This Study Adds
The present study is one of the first studies to investigate the association of EMFR generated by
MPBS with HbA1c and prevalence of type 2 diabetes mellitus. Students who were exposed to high
EMFR generated by MPBS had significantly higher HbA1c and prevalence of pre diabetes mellitus
compared to their students who exposed to low EMFR. We believe that EMFR appears to be another
risk factor contributing to high levels of HbA1c and risk of type 2 diabetes mellitus. This notion may
present a possible paradigm shift in the development of diabetes mellitus. This research provides
Int. J. Environ. Res. Public Health 2015, 12 14526
awareness to the community and to the health officials regarding the effects of EMFR generated by
MPBS on HbA1c and incidence of diabetes mellitus.
4.3. Study Strengths and Limitations
To our knowledge, no study exists yet to establish an association between the RF-EMFR generated
by MPBS and HbA1c and risk of type 2 diabetes mellitus. We measured the levels of RF-EMFR inside
the schools to determine the impact of RF generated by MPBS on HbA1c. In this study for subject
selection criteria, we follow the American Diabetic Association guidelines, and considered age,
race, ethnicity, anemia, and hemoglobinopathies into consideration while using the A1C to diagnose
diabetes [32]. Moreover, our study exclusion criteria and assays are highly standardized. The limitation
of the present study is the involvement of male gender only because in Saudi Arabia there is no
co-education system at schools, colleges, and university levels. This study is a relatively small sample
size, and because of the cross-sectional design of the study we could not establish the causation.
5. Conclusions
Exposure to high RF-EMFR generated by MPBS is associated with elevated level of HbA1c and
prevalence of pre diabetes mellitus among school aged adolescents. RF-EMFR appears to be another
risk factor contributing to high levels of HbA1c and incidence of type 2 diabetes mellitus. This study
provides awareness to the community and to the health officials regarding the effects of RF-EMFR
generated by MPBS on HbA1c and its association with type 2 diabetes mellitus. We cannot deny the
services provided by the mobile phone industry but we also strongly believe that health is more
important and it cannot be compromised over anything. Thus, it must be kept in mind the mobile
MPBS should not be installed in the thickly populated areas, especially in or near the school buildings.
Acknowledgements
The authors are thankful to the Deanship of Scientific Research, King Saud University, Riyadh,
Saudi Arabia for supporting the work through research group project (RGP-VPP 181).
Authors Contributions
Sultan Ayoub Meo, designed the study, supervised the overall research project and contributed to
writing the manuscript. Zaid Almubarak, Hisham Almutawa, Yazeed Alsubaie, Yazeed AlQasem
were involved in IRB writing, data collection, data entry and analysis and literature review. Rana
Muhammed Hasanato contributed to measurements of HbA1c and literature review and manuscript
writing. All authors read and approved the final manuscript.
Conflicts of Interest
The authors declare that there are no conflict of interests.
Int. J. Environ. Res. Public Health 2015, 12 14527
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... 16 Experimental (in vitro / in vivo) studies have shown that EM field and RF radiation exposure effects cell membrane function and cell metabolism. [17][18][19][20] It is known that EM field exposure leads to oxidative damage through its thermal effects. Recent studies have shown that non-thermal effects of EMF also cause oxidative damage. ...
... They become more vulnerable to harmful environmental effects such as radiation. The studies that were performed reported that exposure to RFR deteriorated glucose metabolism 18 , increased hemoglobin A1c levels 19 and constituted a risk factor for the development of diabetes. Havas M. suggests that ELF electromagnetic fields and RFR are responsible for the increasing rate of diseases such as diabetes, multiple sclerosis, chronic fatigue and fibromyalgia. ...
... 18 In another study, it was stated that the exposure of 12-16 years of age of students to 9.601 nW/cm2 at frequency of 925 MHz RFR for 1 week, 5 days a week, 6 hours a day increased Hemoglobin A1c levels and that RFR is a risk factor for diabetes. 19 In the literature, there is no study examining the effect of simultaneous exposure to RF+ELF on any diabetics or nondiabetics tissue. Therefore, the results of our radiation exposure are significant in terms of being the first study in this area. ...
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Objective: Exposure to Radio Frequency (RF) and Extremely Low Frequency (ELF) radiation is increasing steadily with the progress of technology and industrialization. The aim of this study was to investigate whether RF and ELF radiation are oxidative stress effects in the plasma and brain tissue of diabetic and non-diabetic rats. Methods: Experiment groups were designed as follows; C (control), S (sham), ELF (ELF radiation exposure), RF (RF radiation exposure), ELF+RF (ELF and RF radiation exposure), D-C (Diabetic Control), D-S (Diabetic Sham), D-ELF (Diabetic ELF), D-RF (Diabetic RF), D-ELF+RF (Diabetic ELF+RF). The experimental diabetes model was induced with a single dose of 65mg/kg streptozotocin (STZ). 2100 MHz RF and 50 Hz ELF radiation groups exposed for 1 month. Total nitric oxide (NOx), malondialdehyde (MDA) and total sulfhydryl groups (RSH) / glutathione (GSH) levels were measured in plasma and brain tissue. Results: RF + ELF radiation exposure caused an increase in NOx and MDA levels in plasma and brain tissue of diabetic and non-diabetic rats (p<0.05). Exposure to RF and RF + ELF radiation caused a decrease in plasma RSH / tissue GSH levels in non-diabetic rats (p<0.05). Conclusion: The most prominent effect was seen in the diabetic group with RF + ELF radiation exposure.
... This exposure raises concerns and questions about the impact of the EMR on human health and life. A number of papers were devoted to the issue of bioelectromagnetic effects [3][4][5][6][7][8][9][10][11][12][13][14][15]. These include cellular, immunological, hematological, auditory level responses to EMR exposure such as heat shock protein secretions, protein leakages, cellular ion channel anomalies, blood sugar level fluctuations, and hearing loss, as well as cognitive function degradations. ...
... In rare but probable cases of fault removal activities such as antenna replacement as in the Table, there can be elevated SAR values in the heads and torsos of the maintenance people.In general, maintenance people will be exposed to base station EMR for about 2.5 h per day based on 50 sites per responsibility area. The immediate effects [3,4,12] and long-term effects [8] are available in academic studies. Recent studies showed much more subtle effects [12][13][14][15]. ...
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Mobile network operators (MNOs) concurrently use different generations of wireless technologies. The base stations (BSs) of different technology generations are co-located in order to decrease operational costs. Furthermore, the MNOs cooperate in order to co-site their base stations. Such an urban site includes more than 25 actively radiating antennas on average with different frequencies and modulations. Electromagnetic radiation (EMR) measurements performed in such an environment may have reduced accuracy. In this paper, the authors propose a new approach for the measurement of EMR in multiple mobile technology interwoven urban BS sites, where more than one operator exists. The maintenance activities are also investigated with their frequency of occurrence and their duration for EMR exposure assessment and the statistics are reported for the first time in academia. On sampling the signal strength and radiation in different positions for the tested urban sites, electrical field strengths as high as 90 V/m were observed. The results are classified according to frequency bands and possible technologies. The probable bioelectromagnetic effects of such EMR exposure on maintenance workers are discussed with the provision of statistical data of co-located BSs and their maintenance activities. A new occupational EMR exposure risk assessment approach is proposed by taking into consideration the massive multiinput multioutput (MIMO) antenna technology.
... The debates around the use RF EMF devices and health concerns has been a long-standing public health issue, especially during the roll-out of the 5G mobile phone networks [5]. Several authors [6][7] have identified physiological and psychological problems, including risks of type 2 diabetes mellitus following chronic exposure to RF EMFs. However, the RF EMFs absorbed by the network-base stations is depended on several properties such as position of the antenna, distance of their placement and magnetic field frequency [8]. ...
... In many parts of the world, network-base stations could be found installed on trees, water tanks and buildings, and operate at frequencies between 1.8-2.2 GHz for digital and 400-900 MHz for analogue systems [6,9]. In South Africa, they are located proximal to residential and commercial buildings, including public schools. ...
... Exposure to 2.45 GHz EMF induced a stress response in the hippocampus of rats, evidenced by the presence of heat shock proteins (Yang et al. 2012). Exposure to high-frequency EMFs generated by base stations was associated with an increased risk of developing type 2 diabetes (Meo et al. 2015). ...
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The growing use of wireless communication devices has been significantly increasing the level of high frequency electromagnetic fields (EMFs) in the environment, which raises a concern for possible deleterious effects on living organisms. Long lasting exposure to low-intensity EMFs can cause effects on the molecular and cellular level, and a number of morphological and physiological changes. The aim of this work was to investigate the effects of 2.41 GHz EMF emitted by wireless communication systems on human erythrocytes after in vitro irradiation. The amount of the hemoglobin released from the cells was measured as an indicator for membrane destabilization. Effects of different exposure times (20 min or 4 h) and time elapsed after exposure to 2.41 GHz pulsed or continuous EMFs with different intensities, emitted from a textile (0.213–0.238 V/m) or a dipole (5, 20, 40 and 180 V/m) antenna, were investigated. The obtained results showed that the low intensity EMF had no significant effect on the hemoglobin release from irradiated cells; even a slight tendency for membrane stabilization was noticed 3–4 hours after the end of 20-min exposure to 0.213–0.238 V/m, 2.41 GHz EMF. There was no difference in the effects of continuous and pulsed EMFs. Increased hemoglobin release was observed only during the 4-hour exposure to 180 V/m, 2.41 GHz continuous EMF. Under these conditions, the temperature of the cell suspension had been rising, so we compared the results obtained under EMF with the effects of conventional heating. Moreover, after 1-hour exposure to 180 V/m the released hemoglobin level was a bit higher than the control one but the difference disappears within an hour after terminating the irradiation. In conclusion, the in vitro exposure to 2.41 GHz EMF emitted by wireless communication devices with power density below the reference level for population exposure does not change the stability of the cell membrane of human erythrocytes.
... The authors concluded that the students exposed to higher RF-EMF suffered from delayed fine and gross motor skills, delayed spatial working memory, and delayed attention. (Meo et al., 2015) investigated the correlation between being exposed to radiofrequency electromagnetic field radiation from mobile phone base stations and the glycated hemoglobin and the risk of type 2 diabetes mellitus. The authors tested the effect of RF-EMF on 159 students from 2 different schools. ...
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As climate change becomes an urgent issue that must be tackled immediately, several disciplines are making efforts to mitigate its effects. One of the disciplines that must be addressed to mitigate the negative impacts it has on the environment is the installation of telecommunication towers. An ever-increasing number of telecommunication towers may have negative impacts on the environment because of the use of diesel, not environmentally friendly materials or the waves emitted to the surrounding environment. Literature review showed different sustainable approaches that were proposed for use in telecommunication towers. However, there is a gap in having a comprehensive approach for making the overall factors of the telecommunication towers more sustainable. Green rating systems are used as guidelines for making buildings more sustainable. Leadership in Energy and Environmental Design (LEED) rating system is the most widely used green rating system in the world; however, it doesn’t have any guidelines for applying sustainable measures in telecommunication towers. Therefore, this paper proposes a green rating system that is based on LEED’s main categories, to limit the negative impacts telecommunication towers have on the environment. Then, 21 questionnaires were distributed among engineers from various backgrounds in Egypt as a case study to come up with proposed weights for categories and subcategories. The questionnaire analysis is based on Analytical Hierarchy Process. It is concluded that the sustainable site category has the highest weight, as the optimum selection of site would help in improving the overall factors that affect the environmental behavior of the tower.
... [10][11][12] Industrial workers who are frequently exposed to dust develop insulin resistance, glucose metabolism dysfunction, and Type-2 diabetic mellitus (T2DM). 13,14 Literature is acutely lacking to find out the prevalence of T2DM among cement industry workers. The existing studies primarily utilized animal models; therefore, this study, which is the first of its kind, aimed to assess the prevalence of pre-diabetes and T2DM among non-smoking male cement industry workers. ...
Article
Objectives: Occupational and environmental pollution have become an imperative jeopardy for developing devastating metabolic diseases. Limited animal model studies have examined the impact of exposure to cement dust on metabolic conditions. This study aimed to assess the prevalence of pre-diabetes and Type-2 diabetic mellitus (T2DM) among non-smoking cement mill workers. Methods: This epidemiological cross sectional study was conducted in the “Department of Physiology, College of Medicine, King Saud University, Riyadh, Saudi Arabia” during the period Oct 2016 to June 2017. Initially 310 cement mill workers were interviewed; after the interview and clinical history taking, 186 non-smoking cement mill employees were finally recruited. The cement mill employees were exposed to cement dust-related pollution in a cement industry for eight hours a day for six days a week. The mean age was 36.56 ± 0.78 years, mean BMI was 25.70 ± 0.29 m/kg2, and mean period of employment in the cement industry was 82.77 ± 6.95 months. HbA1c was measured using the Dimension Xpand Plus Integrated Chemistry System (USA). Results: The cement mill employees were divided into three groups: non-diabetics group, with glycated hemoglobin (HbA1c) <5.7%; pre-diabetics group, with HbA1c 5.7-6.4%; and diabetics group, with HbA1c >6.4%. Among the cement mill personnel, 79 (42.47%) were non-diabetics, 28 (15.05%) were pre-diabetics, and 79 (42.47%) were diabetics. The prevalence of pre-diabetes and T2DM among cement mill employees was considerably associated with the period of employment in the cement industry (p=0.032). Conclusions: Exposure to cement dust was associated with an increased prevalence of pre- diabetes and T2DM among cement industry employees. doi: https://doi.org/10.12669/pjms.36.1.1266 How to cite this:Meo SA, Bin-Muneif YA, BenOmran NA, AlSadhan MA, Hashem RF, Alobaisi AS. Prevalence of Pre Diabetes and Type 2 Diabetes Mellitus among cement industry workers. Pak J Med Sci. 2020;36(1):---------. doi: https://doi.org/10.12669/pjms.36.1.1266 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
... Despite the scientific evidence shown in the studies carried out in many countries by different teams of researchers that we have reviewed, several studies conclude that no effects are found and blame it on risk perception and the nocebo effect (Wiedemann et al., 2006;Kowall et al., 2012;Freudenstein et al., 2015;Dieudonné, 2016;Klaps et al., 2016;Koh et al., 2020). However, the nocebo effect is not supported by objective data (Belpomme and Irigaray, 2022), by the results of cancer studies (Eger et al., 2004;Wolf and Wolf, 2004;Dode et al., 2011;Li et al., 2012;Rodrigues et al., 2021), by studies on changes in haematological parameters (Gandhi et al., 2015;Meo et al., 2015;Taheri et al., 2017;Zothansiama et al., 2017), by hormonal changes after long-term exposure (Eskander et al., 2012), by salivary secretion and by effects on fertility (Al-Quzwini et al., 2016). Many reviews on the health effects of mobile phones have reached the same conclusions regarding their effects on male infertility (El-Hamd and Aboeldahab, 2018). ...
Article
The objective of this work was to perform a complete review of the existing scientific literature to update the knowledge on the effects of base station antennas on humans. Studies performed in real urban conditions, with mobile phone base stations situated close to apartments, were selected. Overall results of this review show three types of effects by base station antennas on the health of people: radiofrequency sickness (RS), cancer (C) and changes in biochemical parameters (CBP). Considering all the studies reviewed globally (n = 38), 73.6% (28/38) showed effects: 73.9% (17/23) for radiofrequency sickness, 76.9% (10/13) for cancer and 75.0% (6/8) for changes in biochemical parameters. Furthermore, studies that did not meet the strict conditions to be included in this review provided important supplementary evidence. The existence of similar effects from studies by different sources (but with RF of similar characteristics), such as radar, radio and television antennas, wireless smart meters and laboratory studies, reinforce the conclusions of this review. Of special importance are the studies performed on animals or trees near base station antennas that cannot be aware of their proximity and to which psychosomatic effects can never be attributed.
Article
Introduction: A cellular base station is a sophisticated object, a source of radio and industrial frequency electromagnetic fields and of noise pollution. Cell sites generate a complex, time-varying, modulated multi-frequency signal of low intensity, yet having local gradients. The World Health Organization has introduced the notion of electromagnetic pollution of environment, the main source of which is a mobile phone base station. It is the fastest-growing anthropotechnogenic environmental impact since the 1950s. Objective: To analyze the impact of mobile phone base stations on the health of population using data of domestic and foreign literary sources. Materials and methods: A literature search was conducted for the years 2008 to 2022 on human health effects of radiofrequency electromagnetic radiation from cellular base stations using the relevant keywords in the PubMed, Scopus, Web of Science, Medline, the Cochrane Library, EMBASE, Global Health, CyberLeninka, RSCI, and other databases. The initial sample included 50 articles, of which 15 were excluded after primary screening. Experimental studies on animals were not eligible for inclusion. Results: The review of 35 full-text publications on the topic revealed a sufficient amount of evidence of adverse health effects of radiofrequency electromagnetic fields, including the radio frequency sickness, cancer, changes in biochemical parameters, DNA damage, etc. Currently, there is an urgent need to resolve the problem of the so-called electrosmog. Conclusion: In order to prevent the diseases associated with the use of novel technologies, it is important to apply a preventive approach by limiting the exposure of groups at risk, such as children, adolescents, patients with chronic diseases etc., to sources of radiofrequency electromagnetic fields.
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OBJECTIVE: To determine the effect of mobile phone usage on sleep quality and fatigue severity through standard questionnaires in Saudi Arabia mobile phone users. METHODS: This cross-sectional study was conducted in Riyadh, Saudi Arabia on 251 mobile phone users from September 2019 to January 2020. Volunteer mobile phone users aging 15-65 years were selected by nonprobability convenience sampling technique from the Riyadh city community. The subjects were interviewed about the knowledge, attitude and practice of mobile phone use and were assessed through Pittsburg Sleep Quality index (PSQI) and Fatigue severity scale (FSS). Spearman’s correlations and Linear regression were applied for statistical analysis through SPSS V.22. RESULTS: Mean age of study participates was 32.43±12.8 years. There was a significant increase in PSQI and FSS with the increase daily mobile usage. When participants exceeded one-hour daily usage, PSQI (2h=6.85, p= 0.001) and FSS (2h= 3.61, p=0.008) exceeded acceptable scores. Moreover, placing mobile phone inside bedroom was associated with the increase of PSQI (Near Pillow=6.93, Inside Bed=6.16, Outside bed=5.75, p=0.001) and FSS (Near Pillow=3.65, Inside Bed=3.39, Outside Bed=2.58, p= 0.008). There was a significant increase in PSQI (Near Pillow=6.93, Inside Bed=6.16, Outside bed=5.75, p=0.001) and FSS (Near Pillow=3.65, Inside Bed=3.39, Outside Bed=2.58, p= 0.008) its location inside bedrooms. Significant correlation was observed between high PSQI and FSS with daily usage (r=0.213, p=0.001 & r=0.171, p=0.01 respectively). CONCLUSION: Inappropriate and excessive mobile phone usage is associated with poor sleep quality and excessive fatigue in Saudi Arabian population.
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Background &Objectives: This study aimed to compare the effects of mobile phone usage and physical activity on HbA1c, body composition, and lifestyle among male Saudi Arabian mobile phone users. Methods The study was conducted in the Department of Physiology, College of Medicine, King Saud University, Riyadh, Saudi Arabia from July 2020 to July 2021. The study sample consisted of 203 non-smoker male Saudi participants aged from 20 to 60 years who used mobile phones. Personal information was obtained through interviews using a proforma. The participants were divided into three groups according to their daily mobile phone usage: Group (1): less than 2 h, Group (2): 2–3 h, and Group (3): more than 3 h, and according to their physical activities: Group (1): sedentary, Group (2): average, and Group (3): athletes. Glycated Hemoglobin (HbA1c), Bioelectrical Impedance Analysis (BIA), and (SF) 36- items survey was performed. Results The mean age of 203 Saudi male adult participants was 28.0 ± 10.4 years. Mobile phone usage in the less than 2 h group was (33.5%), between 2-3 h (22.7%), and more than 3 h (43.8%) respectively. The mean age of Group (3), who used mobile phones for more than 3 h, was the lowest (23.9 ± 5.7). The results showed that HbA1C levels were almost equal in all three groups (5.8 ± 0.4, 5.7 ± 0.4, and 5.7 ± 0.3 respectively). In addition, emotional well-being and social functioning showed insignificant decreases in the more than 3 h group compared to other groups of mobile phone usage (69.3 ± 15.7, 70.9 ± 15.5, 65.2 ± 16.0, p = .091 and 82.9 ± 201, 81.2 ± 18.7, 77.6 ± 21.6, p = .267) respectively. No effect was detected between groups regarding various body compositions. Regarding physical activity classifications: the sedentary group constituted (36%) of the sample, whereas the average and athlete groups represented (53.7%) and (10.3%) of the total sample respectively. There was a significant decrease in BMI (29.6 ± 7.8, 25.3 ± 5.1,24.7 ± 5.6, p = .000), fat mass (24.7 ± 15.0, 17.1 ± 9.1, 15.3 ± 10.6, p = .000), and free fat mass (64.0 ± 10.2, 56.8 ± 8.7, 57.5 ± 8.0, p = .000) in the average and the athletic groups compared to the sedentary group. No significant difference was found in HbA1c between physical activity groups (5.8 ± 0.4, 5.7 ± 0.4, 5.7 ± 0.4, p = .218). Conclusions Mobile phone usage does not affect HbA1c and body composition parameters. Furthermore, we found the youngers used mobile phones longer than others. Insignificant decrease in emotional well-being and social functioning parameters of the style of life due to long mobile phone usage which needs more attention.
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Quickly changing technologies and intensive uses of radiofrequency electromagnetic field (RF-EMF)‑emitting phones pose a challenge to public health. Mobile phone users and uses and exposures to other wireless transmitting devices (WTDs) have increased in the past few years. We consider that CERENAT, a French national study, provides an important addition to the literature evaluating the use of mobile phones and risk of brain tumors. The CERENAT finding of increased risk of glioma is consistent with studies that evaluated use of mobile phones for a decade or longer and corroborate those that have shown a risk of meningioma from mobile phone use. In CERENAT, exposure to RF‑EMF from digitally enhanced cordless telephones (DECTs), used by over half the population of France during the period of this study, was not evaluated. If exposures to DECT phones could have been taken into account, the risks of glioma from mobile phone use in CERENAT are likely to be higher than published. We conclude that radiofrequency fields should be classified as a Group 2A ̔probable̓ human carcinogen under the criteria used by the International Agency for Research on Cancer (Lyon, France). Additional data should be gathered on exposures to mobile and cordless phones, other WTDs, mobile phone base stations and Wi‑Fi routers to evaluate their impact on public health. We advise that the as low as reasonable achievable (ALARA) principle be adopted for uses of this technology, while a major cross‑disciplinary effort is generated to train researchers in bioelectromagnetics and provide monitoring of potential health impacts of RF‑EMF.
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On 31 May 2011 the WHO International Agency for Research on Cancer (IARC) categorised radiofrequency electromagnetic fields (RF-EMFs) from mobile phones, and from other devices that emit similar non-ionising electromagnetic fields, as a Group 2B, i.e., a "possible", human carcinogen. A causal association would be strengthened if it could be shown that the use of wireless phones has an impact on the survival of glioma patients. We analysed survival of 1678 glioma patients in our 1997-2003 and 2007-2009 case-control studies. Use of wireless phones in the >20 years latency group (time since first use) yielded an increased hazard ratio (HR) = 1.7, 95% confidence interval (CI) = 1.2-2.3 for glioma. For astrocytoma grade IV (glioblastoma multiforme; n = 926) mobile phone use yielded HR = 2.0, 95% CI = 1.4-2.9 and cordless phone use HR = 3.4, 95% CI = 1.04-11 in the same latency category. The hazard ratio for astrocytoma grade IV increased statistically significant per year of latency for wireless phones, HR = 1.020, 95% CI = 1.007-1.033, but not per 100 h cumulative use, HR = 1.002, 95% CI = 0.999-1.005. HR was not statistically significant increased for other types of glioma. Due to the relationship with survival the classification of IARC is strengthened and RF-EMF should be regarded as human carcinogen requiring urgent revision of current exposure guidelines.
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The evaluation of the exposure from mobile communication devices requires consideration of electromagnetic fields (EMFs) over a broad frequency range from dc to GHz. Mobile phones in operation have prominent spectral components in the low-frequency (LF) and radio-frequency (RF) ranges. While the exposure to RF fields from mobile phones has been comprehensively assessed in the past, the LF fields have received much less attention. In this study, LF fields from mobile phones are assessed experimentally and numerically for the global system for mobile (GSM) and universal mobile telecommunications system (UMTS) communication systems and conclusions about the global (LF and RF) EMF exposure from both systems are drawn. From the measurements of the time-domain magnetic fields, it was found that the contribution from the audio signal at a normal speech level, i.e., -16 dBm0, is the same order of magnitude as the fields induced by the current bursts generated from the implementation of the GSM communication system at maximum RF output level. The B-field induced by currents in phones using the UMTS is two orders of magnitude lower than that induced by GSM. Knowing that the RF exposure from the UMTS is also two orders of magnitude lower than from GSM, it is now possible to state that there is an overall reduction of the exposure from this communication system.
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Objective: Extensive use of mobile phones has been accompanied by a common public debate about possible adverse effects on human health. No study has been published so far to establish any association between the fastest growing innovation of mobile phone and fasting blood glucose. The aim was to determine the effects of exposure to electromagnetic field radiation generated by mobile phones on fasting blood glucose in Wistar Albino rats. Materials and methods: 40 Male Albino rats (Wistar Strain) were divided into 5 equally numerous groups. Group A served as the control one, group B received mobile phone radiation for less than 15 min/day, group C: 15-30 min/day, group D: 31-45 min/day, and group E: 46-60 min/day for a total period of 3 months. Fasting blood glucose was determined by using Spectrophotometer and serum insulin by Enzyme-linked Immunosorbent Assay (ELISA). The Homeostatic Model (HOMA-B) was applied for the assessment of β-cell function and (HOMA-IR) for resistance to insulin. Results: Wister Albino rats exposed to mobile phone radiation for longer than 15 min a day for a total period of 3 months had significantly higher fasting blood glucose (p < 0.015) and serum insulin (p < 0.01) compared to the control group. HOMA-IR for insulin resistance was significantly increased (p < 0.003) in the groups that were exposed for 15-30 and 46-60 min/day compared to the control rats. Conclusion: The results of the present study show an association between long-term exposure to activated mobile phones and increase in fasting blood glucose and serum insulin in Albino rats.
Book
Focusing primarly on electromagnetic fields (EMF) examples, the author presents the general principles and methodological concepts in environmental epidemiology. Part 1 deals with epidemiological concepts and principles. Part 2 provides an overview of the scientific knowledge abouth health risks of EMF. Key examples of EMF Research are used to deepen the methodological concepts. Part 3 deals with the broader public health perspectives.
: The diagnosis and management of diabetes in primary care has increased immensely over the past several years. The focus of this article is on the latest substantive revisions in the diagnosis, treatment, and management of diabetes, which was presented in the January 2014 issue of the ADA's journal Diabetes Care.
Article
Use of electricity causes extremely low frequency magnetic fields (ELF-MF) and wireless communication devices emit radiofrequency electromagnetic fields (RF-EMF). Average ELF-MF exposure is mainly determined by high voltage power lines and transformers at home or at the workplace, whereas RF-EMF exposure is mainly caused by devices operating close to the body (mainly mobile and cordless phones). Health effects of EMF are controversially discussed. The IARC classified ELF-MF and RF-EMF as possible carcinogenic. Most consistent epidemiological evidence was found for an association between ELF-MF and childhood leukaemia. If causal, 1 - 4 percent of all childhood leukaemia cases could be attributed to ELF-MF. Epidemiological research provided some indications for an association between ELF-MF and Alzheimer's diseases as well as amyotrophic lateral sclerosis, although not entirely consistent. Regarding mobile phones and brain tumours, some studies observed an increased risk after heavy or long term use on the one hand. On the other hand, brain tumour incidence was not found to have increased in the last decade in Sweden, England or the US. Acute effects of RF-EMF on non-specific symptoms of ill health seem unlikely according to randomized and double blind provocation studies. However, epidemiological research on long term effects is still limited. Although from the current state of the scientific knowledge a large individual health risk from RF-EMF exposure is unlikely, even a small risk would have substantial public health relevance because of the widespread use of wireless communication technologies.
Article
Background: In recent years, by tremendous use of mobile phone telecommunication, a growing concern about the possible health hazards has increased greatly among public and scientists. The mobile phone exposure has been shown to have many effects upon the immune functions, stimulating hormones, mammalian brain, sperm motility and morphology, and neurological pathologies syndrome. The aim of this study was to find out the psychological and psychobiological reactions of the people who are living near mobile phone base transceiver stations (BTS) antenna, in Isfahan, Iran. Materials and methods: A cross-sectional study on 250 randomly selected inhabitants (133 women and 117 men) was performed in October 2012 till November 2012. The inhabitants were requested to complete a standardized questionnaire that focused on the relevant psychological and psychobiological reactions parameters. A computer program (SPSS version16.0, Chicago, IL) was used for statistical analysis using the Chi-square test with Yates correction. All the data were tested using a criterion level of p = 0.05. Results: The results showed that most of the symptoms such as nausea, headache, dizziness, irritability, discomfort, nervousness, depression, sleep disturbance, memory loss and lowering of libido were statistically significant in the inhabitants living near the BTS antenna (<300 m distances) compared to those living far from the BTS antenna (>300 m). Conclusion: It is suggested that cellular phone BTS antenna should not be sited closer than 300 m to populations to minimize exposure of neighbors.
Article
Background: Little is known about the population's exposure to radio frequency electromagnetic fields (RF-EMF) in industrialized countries. Objectives: To examine levels of exposure and the importance of different RF-EMF sources and settings in a sample of volunteers living in a Swiss city. Methods: RF-EMF exposure of 166 volunteers from Basel, Switzerland, was measured with personal exposure meters (exposimeters). Participants carried an exposimeter for 1 week (two separate weeks in 32 participants) and completed an activity diary. Mean values were calculated using the robust regression on order statistics (ROS) method. Results: Mean weekly exposure to all RF-EMF sources was 0.13 mW/m(2) (0.22 V/m) (range of individual means 0.014-0.881 mW/m(2)). Exposure was mainly due to mobile phone base stations (32.0%), mobile phone handsets (29.1%) and digital enhanced cordless telecommunications (DECT) phones (22.7%). Persons owning a DECT phone (total mean 0.15 mW/m(2)) or mobile phone (0.14 mW/m(2)) were exposed more than those not owning a DECT or mobile phone (0.10 mW/m(2)). Mean values were highest in trains (1.16 mW/m(2)), airports (0.74 mW/m(2)) and tramways or buses (0.36 mW/m(2)), and higher during daytime (0.16 mW/m(2)) than nighttime (0.08 mW/m(2)). The Spearman correlation coefficient between mean exposure in the first and second week was 0.61. Conclusions: Exposure to RF-EMF varied considerably between persons and locations but was fairly consistent within persons. Mobile phone handsets, mobile phone base stations and cordless phones were important sources of exposure in urban Switzerland.