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IOSR Journal of Applied Physics (IOSR-JAP)
e-ISSN: 2278-4861.Volume 7, Issue 1 Ver. I (Jan.-Feb. 2015), PP 39-44
www.iosrjournals.org
DOI: 10.9790/4861-07113944 www.iosrjournals.org 39 | Page
Comparative Study of Non Specific Health Symptoms Faced By
Inhabitants Exposed To High And Low Power Densities of Mobile
Phone Tower Radiation
Lalrinthara Pachuau, Zaithanzauva Pachuau
Department of Physics, Mizoram University
Abstract: In the present paper, we presented the study of complaints on thirteen (13) different health symptoms
faced by inhabitants living near mobile tower – Global System for Mobile Communication (GSM 900) and those
inhabitants living in the area where there is no mobile tower. The study was conducted in two different localities
in Aizawl city in the year 2014. For the study, questionnaires were conducted in both the localities. Power
densities were measured in different places in both the localities. Frequency spectrum was taken in each
locality. Health complaints between the two localities were compared. It was found that power density is much
higher in the area where there is mobile tower than the area where there is no mobile tower. Inhabitants living
near mobile tower are having more health complaints than those inhabitants living in the area where there is no
mobile tower. Responses from inhabitants who participated in the questionnaires from both the localities were
statistically analysed and compared by performing Kruskal Walli’s t-test. Out of the thirteen (13) different
symptoms studied it was found that the comparisons are statistically significant with p < 0.05 in three (3)
symptoms. Women were statistically more affected (p < 0.05) than male in muscle pain.
Keywords: frequency spectrum, mobile tower radiation, power density, RF radiation.
I. Introduction
Cellular wireless telephones have become ubiquitous. Wireless technology is based on extensive
networks of base stations that connect the users through Radio Frequency (RF) signals. Over the last decade,
there has been a great deal of concern about possible health consequences caused by human exposure to RF in
general and radiations from base stations in particular[1],[2],[3]
. It is believed that mobile phones produce RF
energy of non-ionizing radiation which is too low to heat the body’s tissues, and hence is unlikely to have the
same impact on human health as those produced by ionizing radiations such as X-rays[4]
. Nonetheless, there is
still a need to determine the level of health risks caused by RF radiations. Many studies address the impact of
mobile phone radiations on human body, only a few consider the effect of human exposure to base stations
although such an effect may be greater as more body parts can absorb RF energy2
.
With the significant increase in mobile phone usage, possible health risks related to RF exposure have
become the subject of considerable attention[3],[5]
. This includes effect from exposure to both cell phones and
base stations. Health concerns can be divided into two main categories : short term and long term effects. The
short term effect includes brain electrical activity, cognitive function, sleep, heart rate and blood pressure[6]
.
However, the long term effects includes tinnitus, headache, dizziness, fatigue, sensations of warmth, dysesthesia
of the scalp, visual symptoms, memory loss and sleep disturbance, muscle problem and epidemicological effects
including cancer and brain tumours[7],[8]
.
In May 2011, International Agency for Research on Cancer (IARC) has classified RF field as possibly
carcinogenic to human (group 2B) based on increased risk for glioma, a malignant type of brain cancer
associated with wireless phone use[9]
.
II. Materials and Methods
The mobile base station in Chanmari was erected in 2007 in Aizawl, Mizoram, India. The present study
was carried out in 2014, i.e. the inhabitants had been exposed to RF radiation for a period of seven (7) years.
Whereas in Lawipu, there is no mobile tower ever.
2.1 Questionnaire
To study the health hazards and problems faced by the inhabitants living close to the base station (all
living within 100m), questionnaire surveys were conducted on 13 different symptoms at two different localities
in Aizawl city. The questionnaire was similar to that developed for the study on mobile phone users by Santini
et al [10]
. The surveys were conducted in two different localities – Chanmari and Lawipu where the inhabitants
had been exposed and not exposed respectively. In Chanmari a tower is installed on a roof top in 2007, whereas
in Lawipu there is no mobile phone tower, the nearest tower is located in another locality called Maubawk
Comparative Study of Non specific Health Symptoms Faced by Inhabitants Exposed to High…
DOI: 10.9790/4861-07113944 www.iosrjournals.org 40 | Page
which is about 1 km away. Questionnaires from those inhabitants living within 100m from the tower are
considered in Chanmari (as another tower comes within 100 m if we go farther). The health complaints of both
the localities are compared. The level of complaints for the studied symptoms was expressed by using a scale of
: 0 = never, 1 = sometimes, 2 = often, 3 = very often.
2.2 Power density measurement
Power density measurement was carried out at different houses in both the localities. No mobile phone
was turned on in the vicinity while taking readings. Background radiation was measured to be -60 dBm in
Chanmari, - 78dBm in Lawipu. At the same time, absolute power (in dBm) was measured at each site. The main
purpose of the measurement is to ensure that RF field emission from each site does not exceed the safe public
limits and to find whether there is relation between the health complaints and the measured power densities. The
power density Pd of the RF energy is given by[11]
:
2
4
t
d
nPG
P
D

where, n, is number of transmitters; Pt, maximum power from each transmitter; G, antenna gain (decibel); D,
distance of the site from the transmitter. However, power density measurement was done with the instrument
HF-60105V4, manufactured by Aaronia, Germany.
2.3 Frequency spectrum
Frequency spectrum of the RF radiation has been taken at both the localities. The frequency peak for
each measurement had been recorded. The same instrument HF-60105V4, manufactured by Aaronia, Germany
was used to analyse frequency spectrum. The instrument is capable of measuring non-ionizing radiation for
frequency in the range of 1 MHz - 9.4 GHz.
III. Results And Discussions
3.1 Analysis of questionnaire
Analysis of the questionnaire from all the participants is given in Table I. Scale numbers 2 and 3 are
given more considerations. From the table it has been observed that health complaints are very few in Lawipu in
comparison to that of Chanmari. It has been observed that those living within 100 m from the base station in
Chanmari are having more health complaints than those in Lawipu who are exposed to very weak RF Radiation.
In table II, comparisons of health complaints between male and female in Chanmari are given. In figs. 1 & 2
comparisons between health complaints of inhabitants of Lawipu and Chanmari are given (for all the males and
females participated in the questionnaire). From each locality fifty (50) individuals each were participated. In
Chanmari, 24 males and 26 females, and in Lawipu the same number 24 males and 26 females participated in
the questionnaire.
The detail analysis of comparison of questionnaires between Chanmari and Lawipu is given in table III.
For the analysis Kruskal-Walli’s t-test is used. It has been observed that the health complaints are significant (p
< 0.05, where p is significant level) in different three (3) health symptoms - Headache, Dizziness and Muscle
pain out of the studied thirteen (13) symptoms. Out of the three (3) significant symptoms, two (2) of them –
headache and dizziness are significant (p < 0.05) only on scale 3 and 2 respectively. Muscle pain is significant
on both scales 2 and 3. The significance shows that the inhabitants living in the area where mobile tower is
located are having more chance of developing those health problems than the inhabitants living in the area
where there is no mobile tower.
In eight (8) different health symptoms – Fatigue, Nausea, Sleep disruption, feeling of discomfort,
memory loss, visual disruption, hearing problem and dizziness no comparison were done as the response was
zero (0) in scale 2 or 3 in Lawipu from each of these symptoms.
Due to high significant variations of health complaints in Chanmari comparison between health
complaints of male and female has been done (table II). Statistical analysis of the comparison is given in table
IV. It has been found that in muscle pain the comparisons are significant on both scales 2 and 3. Females are
having more complaints than male. The same trend was also observed by R.Santini [10]
and Lalrinthara Pachuau
and Zaithanzauva Pachuau [15]
.
Comparative Study of Non specific Health Symptoms Faced by Inhabitants Exposed to High…
DOI: 10.9790/4861-07113944 www.iosrjournals.org 41 | Page
Table I . Comparison of health complaints (on scales 2 and 3) between inhabitants in Lawipu and
Chanmari for all those who participated in Questionnaire.
Reference : 0 = never, 1= sometimes, 2 = often, 3 = very often.
Table II. Comparison of health complaints (on scales 2 and 3) between Male (M) and Female (F) inhabitants in
Chanmari. Reference : 0 = never, 1= sometimes, 2 = often, 3 = very often
Sl. No. symptoms 2 3
M F M F
1. Fatigue 2 3 2 2
2. Nausea 3 2 1 5
3. Sleep disruption 2 4 1 3
4. Feeling of
discomfort
1 2 0 3
5. Headache 3 4 1 5
6. Cramp 0 3 1 2
7. Difficulty in
concentration
2 1 1 1
8. Memory loss 1 1 1 1
9. Skin problem 1 2 0 2
10. Visual disruption 0 2 1 1
11. Hearing problem 1 2 2 2
12. Dizziness 1 5 2 3
13. Muscle pain 3 8 2 8
Fig. 1 : Comparison of complaints between Lawipu and Chanmari for the scale of 2 (all the figures are in
percentage).
Sl. No. Symptom 2 3
Lawipu Chanmari Lawipu Chanmari
1. Fatigue 1 5 0 4
2. Nausea 2 5 0 5
3. Sleep disruption 2 6 0 5
4. Feeling of discomfort 0 3 0 3
5. Headache 3 7 1 6
6. Cramp 2 3 1 3
7. Difficulty in concentration 1 3 1 2
8. Memory loss 2 2 0 2
9. Skin problem 2 3 1 2
10. Visual disruption 1 2 0 2
11. Hearing problem 3 3 0 4
12. Dizziness 1 6 0 5
13. Muscle pain 3 11 2 10
Comparative Study of Non specific Health Symptoms Faced by Inhabitants Exposed to High…
DOI: 10.9790/4861-07113944 www.iosrjournals.org 42 | Page
Fig. 2 : Comparison of complaints between Lawipu and Chanmari for the scale of 3 (all the figures are in
percentage).
3.2. Power density measurement
Power density of the mobile phone tower radiation from the selected tower was measured at twenty
(20) different randomly selected sites in Chanmari. The lowest measured value was 105µW/m2
, highest
measured value was 28.5 mW/m2
. The average value of the measured power density was 5.3 mW/m2
. Most of
the measured values are higher than that of the safety limits recommended by Bioinitive Report 2012 (0.5
mW/m2
) [12]
, Salzburg resolution 2000 (1 mW/m2
), EU (STOA) 2001 (0.1mW/m2
) [13]
. However, all the
measured values were well below the current ICNIRP safe level (4700 mW/m2
) [13]
and the current Indian
Standard (450 mW/m2
) [14]
. In Lawipu, where there was no mobile tower, power density was measured in twelve
(12) different places selected randomly. The lowest measured value was 0.711µW/m2
, the highest measured
value was 22µW/m2
(which is 1295 times lower than the corresponding value in Chanmari). The average value
of the measured power density was 11 µW/m2
(which is 481 times lower than the corresponding value in
Chanmari), which is well below Bioinitive Report 2012 (0.5mW/m2
), Salzburg resolution 2000 (1mW/m2
), EU
(STOA) 2001 (0.1mW/m2
), the current ICNIRP safe level (4700mW/m2
) and the current Indian Standard
(450mW/m2
).
Table III. Determination of significance level of the comparisons between health complaints of inhabitants of
Lawipu and Chanmari on scales 2 and 3 using Kruskal-Walli’s t-test.
Ref : NS = Not Significant, NC = No comparison, S = Significant
Sl. No. Symptom Scale t value df p value Remark
1. Fatigue 2 -2.058 18 0.054 NS
3 NC
2. Nausea 2 -1.406 18 0.177 NS
3 NC
3. Sleep disruption 2 -1.897 18 0.074 NS
3 NC
4. Discomfort 2 NC
3 NC
5. Headache* 2 -1.852 18 0.081 NS
3 -2.611 18 0.018 S
6. Cramp 2 -0.493 18 0.628 NS
3 -1.095 18 0.288 NS
7. Difficulty in concentration 2 -1.095 18 0.288 NS
3 -0.600 18 0.556 NS
8. Memory loss 2 NC
3 NC
9. Skin problem 2 -0.493 18 0.628 NS
3 -0.600 18 0.556 NS
10. Visual disruption 2 -0.600 18 0.556 NS
3 NC
11. Hearing problem 2 NC
3 NC
12. Dizziness* 2 -2.611 18 0.018 S
3 NC
13. Muscle pain* 2 -2.530 18 0.021 S
3 -2.753 18 0.013 S
Comparative Study of Non specific Health Symptoms Faced by Inhabitants Exposed to High…
DOI: 10.9790/4861-07113944 www.iosrjournals.org 43 | Page
Table IV. Determination of significance level of the comparisons between health complaints of Male and
Female inhabitants in Chanmari on scales 2 and 3 using Kruskal-Walli’s t-test.
Ref : NS = Not Significant, NC = No comparison, S = Significant
Sl. No. Symptom Scale t value df p value Remark
1. Fatigue 2 -0.493 18 0.628 NS
3 NC
2. Nausea 2 0.493 18 0.628 NS
3 -2.058 18 0.054 NS
3. Sleep disruption 2 -0.949 18 0.355 NS
3 -1.095 18 0.288 NS
4. Discomfort 2 -0.600 18 0.556 NS
3 NC
5. Headache* 2 0.447 18 0.660 NS
3 -2.058 18 0.054 NS
6. Cramp 2 NC
3 -0.600 18 0.556 NS
7. Difficulty in
concentration
2 0.600 18 0.556 NS
3 NC
8. Memory loss 2 NC
3 NC
9. Skin problem 2 -0.600 18 0.556 NS
3 NC
10. Visual
disruption
2 NC
3 NC
11. Hearing problem 2 -0.600 18 0.556 NS
3 NC
12. Dizziness 2 -2.058 18 0.054 NS
3 -0.493 18 0.628 NS
13. Muscle pain* 2 -2.466 18 0.024 S
3 -2.496 18 0.022 S
3.3 Frequency spectrum
Frequency spectrum of the mobile tower was taken at both the localities and shown in figs. 3 and 4. Many
frequency peaks are observed at each site with peak frequencies at around 945MHz and 950MHz. In the
selected sites, other than RF radiation, the other electromagnetic signals present were of TV and radio, which lie
outside the GSM 900 frequency range. Hence, it has been assumed that the peaks observed were of RF radiation
only.
IV. Conclusion
It has been observed that in Chanmari the measured average value of power density is higher than that
of the safety limit recommendations of Bioinitiative 2012, Salzburg resolution 2000, EU (STOA) 2001; but well
below the safety limit recommendations of ICNIRP and the Department of Telecommunications, Govt. of India.
However it has been found that many inhabitants are still having health complaints on different symptoms after
the tower had been erected in 2007. The most common health complaint is muscle pain. The same trend was
Fig. 3 : Frequency spectrum taken in Lawipu Fig. 4 : Frequency spectrum taken in Chanmari
Comparative Study of Non specific Health Symptoms Faced by Inhabitants Exposed to High…
DOI: 10.9790/4861-07113944 www.iosrjournals.org 44 | Page
also observed by R.Santini[10], Lalrinthara Pachuau & Zaithanzauva Pachuau[15]. In Lawipu, power density is
very low, the inhabitants are having very few health complaints. Whereas in Chanmari, power density is much
higher, health complaints are much more compared to those of Lawipu. As it is observed, muscle pain is
significant both in scales 2 and 3, the authors suggested that the effect of RF radiation on muscle be more
studied. We conclude that inhabitants exposed to high power densities are having more chance of developing the
studied health symptoms; hence mobile tower should not be located in populated area.
References
[1]. JF Viel, S Clerc, C Barrera, R Rymzhanova, M Moissonnier, M Hours, E Cardis, Residential exposure to Radiofrequency Fields
from Mobile Phone Base stations, and Broadcast Transmitters: A population-Based Survey with Personal Meter, Occup Environ
Med 66 (2009) 550-556.
[2]. AM Martinez-Gonzalez, A Fernandez-Pascual, Practical Procedure for Verification of Compliance of Digital Mobile Radio Base
Stations to Limitations of Exposure of the General Public to Electromagnetic Fields, IEEE Proceedings on Microwaves, Antennas
and Propagation (USA) 149 (2002) 218-228.
[3]. A Ahlbom, A Green, et al, Epidemiology of Health Effects of Radiofrequency Exposure, Environmental Health Perspectives
112(17), (2004), 1741-1754.
[4]. U.S Food and Drug Administration (FDA), Radiation emitting Products: Reducing Exposure : Hands-Free Kits and Other
Accessories, 2009.http://www.fda.gov/Radiation-Emitting Products/Radiation Emitting Productsand procedures/ Home
Businessand Entertainment/ CellPhones/ucm116338.htm
[5]. Nora D. Volkow, Dardo Tomasi, Gene-Jack Wang, Paul Vaska, Joanna S. Fowler, Frank Telang, Dave Alexoff, Jean Logan and
Christopher Wong, Effects of Cell Phone Radiofrequency Signal Exposure on Brain Glucose Metabolism, Journal of American
Medical Association, 305(8), 2011, 808-813.
[6]. World Health Organisation (WHO) Media Centre, Electromagnetic Fields and Public Health : Mobile Phones, 2011.
http://www.who.int/mediacentre/factsheets/fs193/en/
[7]. Chia SE, Chia H.P, Tan J.S, Prevalence of Headache Among Handheld Cellular Telephone Users in Singapore : A community
Study, Environmental Health Perspectives 108(11), 2000, 1059-1062.
[8]. [Oftedal G, Wilen G, Sandstrom M, Mild K.H, Symptoms experienced in Connection with Mobile Phone use, Occupational
Medicine, 50(4), 2000, 237-245.
[9]. International Agency for Research on Cancer, Press release No
208, Lyon, France, 31st
May 2011. www.iarc.fr/en/media-
centre/pr/2011/pdfs/pr208_E.pdf
[10]. R Santini, P Santini, J.M Danze, P Le Ruz, Study of the Health of People living in the vicinity of mobile phone base stations : I.
Influences of distance and sex, Pathol Biol 50, 2002, 369-373.
[11]. Muoaaz Nahas, Mohammed T. Simsim, Safety Measurements of Electromagnetic Fields Radiated form Mobile Base Stations in the
Western Region of Saudi Arabia, Wireless Engineering Technology, 2, 2011, 221-229.
[12]. Cindy Sage, David O. Carpenter, Key Scientific Evidence and Public Health Recommendations, in Cindy Sage and David O.
Carpenter (Ed) Bioinitiative 2012 : A Rationale for Biologically-based Public Exposure Standards for Electromagnetic Radiation,
edited by (Bioinitiative Working Group, 2012), 1424. www.bioinitiative.org
[13]. Haumann Thomas, Munzenberg Uwe et al, HF Radiation levels of GSM Cellular Phone Towers in Residential Areas,
hbelc.org/pdf/memdocs/cellularphoneradiation.pdf
[14]. Department of Telecommunications, Govt. of India, Advisory Guidelines for State Governments for Issue of clearance for
installation of Mobile Towers, 2013. http://www.dot.gov.in/access-services/journey-emf
[15]. Lalrinthara Pachuau, Zaithanzauva Pachuau, Study of Cell Tower Radiation and its Health Hazards on Human Body, IOSR-JAP,
vol.6, 2014, pp 1-6.

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Comparative Study of Non Specific Health Symptoms Faced By Inhabitants Exposed To High And Low Power Densities of Mobile Phone Tower Radiation

  • 1. IOSR Journal of Applied Physics (IOSR-JAP) e-ISSN: 2278-4861.Volume 7, Issue 1 Ver. I (Jan.-Feb. 2015), PP 39-44 www.iosrjournals.org DOI: 10.9790/4861-07113944 www.iosrjournals.org 39 | Page Comparative Study of Non Specific Health Symptoms Faced By Inhabitants Exposed To High And Low Power Densities of Mobile Phone Tower Radiation Lalrinthara Pachuau, Zaithanzauva Pachuau Department of Physics, Mizoram University Abstract: In the present paper, we presented the study of complaints on thirteen (13) different health symptoms faced by inhabitants living near mobile tower – Global System for Mobile Communication (GSM 900) and those inhabitants living in the area where there is no mobile tower. The study was conducted in two different localities in Aizawl city in the year 2014. For the study, questionnaires were conducted in both the localities. Power densities were measured in different places in both the localities. Frequency spectrum was taken in each locality. Health complaints between the two localities were compared. It was found that power density is much higher in the area where there is mobile tower than the area where there is no mobile tower. Inhabitants living near mobile tower are having more health complaints than those inhabitants living in the area where there is no mobile tower. Responses from inhabitants who participated in the questionnaires from both the localities were statistically analysed and compared by performing Kruskal Walli’s t-test. Out of the thirteen (13) different symptoms studied it was found that the comparisons are statistically significant with p < 0.05 in three (3) symptoms. Women were statistically more affected (p < 0.05) than male in muscle pain. Keywords: frequency spectrum, mobile tower radiation, power density, RF radiation. I. Introduction Cellular wireless telephones have become ubiquitous. Wireless technology is based on extensive networks of base stations that connect the users through Radio Frequency (RF) signals. Over the last decade, there has been a great deal of concern about possible health consequences caused by human exposure to RF in general and radiations from base stations in particular[1],[2],[3] . It is believed that mobile phones produce RF energy of non-ionizing radiation which is too low to heat the body’s tissues, and hence is unlikely to have the same impact on human health as those produced by ionizing radiations such as X-rays[4] . Nonetheless, there is still a need to determine the level of health risks caused by RF radiations. Many studies address the impact of mobile phone radiations on human body, only a few consider the effect of human exposure to base stations although such an effect may be greater as more body parts can absorb RF energy2 . With the significant increase in mobile phone usage, possible health risks related to RF exposure have become the subject of considerable attention[3],[5] . This includes effect from exposure to both cell phones and base stations. Health concerns can be divided into two main categories : short term and long term effects. The short term effect includes brain electrical activity, cognitive function, sleep, heart rate and blood pressure[6] . However, the long term effects includes tinnitus, headache, dizziness, fatigue, sensations of warmth, dysesthesia of the scalp, visual symptoms, memory loss and sleep disturbance, muscle problem and epidemicological effects including cancer and brain tumours[7],[8] . In May 2011, International Agency for Research on Cancer (IARC) has classified RF field as possibly carcinogenic to human (group 2B) based on increased risk for glioma, a malignant type of brain cancer associated with wireless phone use[9] . II. Materials and Methods The mobile base station in Chanmari was erected in 2007 in Aizawl, Mizoram, India. The present study was carried out in 2014, i.e. the inhabitants had been exposed to RF radiation for a period of seven (7) years. Whereas in Lawipu, there is no mobile tower ever. 2.1 Questionnaire To study the health hazards and problems faced by the inhabitants living close to the base station (all living within 100m), questionnaire surveys were conducted on 13 different symptoms at two different localities in Aizawl city. The questionnaire was similar to that developed for the study on mobile phone users by Santini et al [10] . The surveys were conducted in two different localities – Chanmari and Lawipu where the inhabitants had been exposed and not exposed respectively. In Chanmari a tower is installed on a roof top in 2007, whereas in Lawipu there is no mobile phone tower, the nearest tower is located in another locality called Maubawk
  • 2. Comparative Study of Non specific Health Symptoms Faced by Inhabitants Exposed to High… DOI: 10.9790/4861-07113944 www.iosrjournals.org 40 | Page which is about 1 km away. Questionnaires from those inhabitants living within 100m from the tower are considered in Chanmari (as another tower comes within 100 m if we go farther). The health complaints of both the localities are compared. The level of complaints for the studied symptoms was expressed by using a scale of : 0 = never, 1 = sometimes, 2 = often, 3 = very often. 2.2 Power density measurement Power density measurement was carried out at different houses in both the localities. No mobile phone was turned on in the vicinity while taking readings. Background radiation was measured to be -60 dBm in Chanmari, - 78dBm in Lawipu. At the same time, absolute power (in dBm) was measured at each site. The main purpose of the measurement is to ensure that RF field emission from each site does not exceed the safe public limits and to find whether there is relation between the health complaints and the measured power densities. The power density Pd of the RF energy is given by[11] : 2 4 t d nPG P D  where, n, is number of transmitters; Pt, maximum power from each transmitter; G, antenna gain (decibel); D, distance of the site from the transmitter. However, power density measurement was done with the instrument HF-60105V4, manufactured by Aaronia, Germany. 2.3 Frequency spectrum Frequency spectrum of the RF radiation has been taken at both the localities. The frequency peak for each measurement had been recorded. The same instrument HF-60105V4, manufactured by Aaronia, Germany was used to analyse frequency spectrum. The instrument is capable of measuring non-ionizing radiation for frequency in the range of 1 MHz - 9.4 GHz. III. Results And Discussions 3.1 Analysis of questionnaire Analysis of the questionnaire from all the participants is given in Table I. Scale numbers 2 and 3 are given more considerations. From the table it has been observed that health complaints are very few in Lawipu in comparison to that of Chanmari. It has been observed that those living within 100 m from the base station in Chanmari are having more health complaints than those in Lawipu who are exposed to very weak RF Radiation. In table II, comparisons of health complaints between male and female in Chanmari are given. In figs. 1 & 2 comparisons between health complaints of inhabitants of Lawipu and Chanmari are given (for all the males and females participated in the questionnaire). From each locality fifty (50) individuals each were participated. In Chanmari, 24 males and 26 females, and in Lawipu the same number 24 males and 26 females participated in the questionnaire. The detail analysis of comparison of questionnaires between Chanmari and Lawipu is given in table III. For the analysis Kruskal-Walli’s t-test is used. It has been observed that the health complaints are significant (p < 0.05, where p is significant level) in different three (3) health symptoms - Headache, Dizziness and Muscle pain out of the studied thirteen (13) symptoms. Out of the three (3) significant symptoms, two (2) of them – headache and dizziness are significant (p < 0.05) only on scale 3 and 2 respectively. Muscle pain is significant on both scales 2 and 3. The significance shows that the inhabitants living in the area where mobile tower is located are having more chance of developing those health problems than the inhabitants living in the area where there is no mobile tower. In eight (8) different health symptoms – Fatigue, Nausea, Sleep disruption, feeling of discomfort, memory loss, visual disruption, hearing problem and dizziness no comparison were done as the response was zero (0) in scale 2 or 3 in Lawipu from each of these symptoms. Due to high significant variations of health complaints in Chanmari comparison between health complaints of male and female has been done (table II). Statistical analysis of the comparison is given in table IV. It has been found that in muscle pain the comparisons are significant on both scales 2 and 3. Females are having more complaints than male. The same trend was also observed by R.Santini [10] and Lalrinthara Pachuau and Zaithanzauva Pachuau [15] .
  • 3. Comparative Study of Non specific Health Symptoms Faced by Inhabitants Exposed to High… DOI: 10.9790/4861-07113944 www.iosrjournals.org 41 | Page Table I . Comparison of health complaints (on scales 2 and 3) between inhabitants in Lawipu and Chanmari for all those who participated in Questionnaire. Reference : 0 = never, 1= sometimes, 2 = often, 3 = very often. Table II. Comparison of health complaints (on scales 2 and 3) between Male (M) and Female (F) inhabitants in Chanmari. Reference : 0 = never, 1= sometimes, 2 = often, 3 = very often Sl. No. symptoms 2 3 M F M F 1. Fatigue 2 3 2 2 2. Nausea 3 2 1 5 3. Sleep disruption 2 4 1 3 4. Feeling of discomfort 1 2 0 3 5. Headache 3 4 1 5 6. Cramp 0 3 1 2 7. Difficulty in concentration 2 1 1 1 8. Memory loss 1 1 1 1 9. Skin problem 1 2 0 2 10. Visual disruption 0 2 1 1 11. Hearing problem 1 2 2 2 12. Dizziness 1 5 2 3 13. Muscle pain 3 8 2 8 Fig. 1 : Comparison of complaints between Lawipu and Chanmari for the scale of 2 (all the figures are in percentage). Sl. No. Symptom 2 3 Lawipu Chanmari Lawipu Chanmari 1. Fatigue 1 5 0 4 2. Nausea 2 5 0 5 3. Sleep disruption 2 6 0 5 4. Feeling of discomfort 0 3 0 3 5. Headache 3 7 1 6 6. Cramp 2 3 1 3 7. Difficulty in concentration 1 3 1 2 8. Memory loss 2 2 0 2 9. Skin problem 2 3 1 2 10. Visual disruption 1 2 0 2 11. Hearing problem 3 3 0 4 12. Dizziness 1 6 0 5 13. Muscle pain 3 11 2 10
  • 4. Comparative Study of Non specific Health Symptoms Faced by Inhabitants Exposed to High… DOI: 10.9790/4861-07113944 www.iosrjournals.org 42 | Page Fig. 2 : Comparison of complaints between Lawipu and Chanmari for the scale of 3 (all the figures are in percentage). 3.2. Power density measurement Power density of the mobile phone tower radiation from the selected tower was measured at twenty (20) different randomly selected sites in Chanmari. The lowest measured value was 105µW/m2 , highest measured value was 28.5 mW/m2 . The average value of the measured power density was 5.3 mW/m2 . Most of the measured values are higher than that of the safety limits recommended by Bioinitive Report 2012 (0.5 mW/m2 ) [12] , Salzburg resolution 2000 (1 mW/m2 ), EU (STOA) 2001 (0.1mW/m2 ) [13] . However, all the measured values were well below the current ICNIRP safe level (4700 mW/m2 ) [13] and the current Indian Standard (450 mW/m2 ) [14] . In Lawipu, where there was no mobile tower, power density was measured in twelve (12) different places selected randomly. The lowest measured value was 0.711µW/m2 , the highest measured value was 22µW/m2 (which is 1295 times lower than the corresponding value in Chanmari). The average value of the measured power density was 11 µW/m2 (which is 481 times lower than the corresponding value in Chanmari), which is well below Bioinitive Report 2012 (0.5mW/m2 ), Salzburg resolution 2000 (1mW/m2 ), EU (STOA) 2001 (0.1mW/m2 ), the current ICNIRP safe level (4700mW/m2 ) and the current Indian Standard (450mW/m2 ). Table III. Determination of significance level of the comparisons between health complaints of inhabitants of Lawipu and Chanmari on scales 2 and 3 using Kruskal-Walli’s t-test. Ref : NS = Not Significant, NC = No comparison, S = Significant Sl. No. Symptom Scale t value df p value Remark 1. Fatigue 2 -2.058 18 0.054 NS 3 NC 2. Nausea 2 -1.406 18 0.177 NS 3 NC 3. Sleep disruption 2 -1.897 18 0.074 NS 3 NC 4. Discomfort 2 NC 3 NC 5. Headache* 2 -1.852 18 0.081 NS 3 -2.611 18 0.018 S 6. Cramp 2 -0.493 18 0.628 NS 3 -1.095 18 0.288 NS 7. Difficulty in concentration 2 -1.095 18 0.288 NS 3 -0.600 18 0.556 NS 8. Memory loss 2 NC 3 NC 9. Skin problem 2 -0.493 18 0.628 NS 3 -0.600 18 0.556 NS 10. Visual disruption 2 -0.600 18 0.556 NS 3 NC 11. Hearing problem 2 NC 3 NC 12. Dizziness* 2 -2.611 18 0.018 S 3 NC 13. Muscle pain* 2 -2.530 18 0.021 S 3 -2.753 18 0.013 S
  • 5. Comparative Study of Non specific Health Symptoms Faced by Inhabitants Exposed to High… DOI: 10.9790/4861-07113944 www.iosrjournals.org 43 | Page Table IV. Determination of significance level of the comparisons between health complaints of Male and Female inhabitants in Chanmari on scales 2 and 3 using Kruskal-Walli’s t-test. Ref : NS = Not Significant, NC = No comparison, S = Significant Sl. No. Symptom Scale t value df p value Remark 1. Fatigue 2 -0.493 18 0.628 NS 3 NC 2. Nausea 2 0.493 18 0.628 NS 3 -2.058 18 0.054 NS 3. Sleep disruption 2 -0.949 18 0.355 NS 3 -1.095 18 0.288 NS 4. Discomfort 2 -0.600 18 0.556 NS 3 NC 5. Headache* 2 0.447 18 0.660 NS 3 -2.058 18 0.054 NS 6. Cramp 2 NC 3 -0.600 18 0.556 NS 7. Difficulty in concentration 2 0.600 18 0.556 NS 3 NC 8. Memory loss 2 NC 3 NC 9. Skin problem 2 -0.600 18 0.556 NS 3 NC 10. Visual disruption 2 NC 3 NC 11. Hearing problem 2 -0.600 18 0.556 NS 3 NC 12. Dizziness 2 -2.058 18 0.054 NS 3 -0.493 18 0.628 NS 13. Muscle pain* 2 -2.466 18 0.024 S 3 -2.496 18 0.022 S 3.3 Frequency spectrum Frequency spectrum of the mobile tower was taken at both the localities and shown in figs. 3 and 4. Many frequency peaks are observed at each site with peak frequencies at around 945MHz and 950MHz. In the selected sites, other than RF radiation, the other electromagnetic signals present were of TV and radio, which lie outside the GSM 900 frequency range. Hence, it has been assumed that the peaks observed were of RF radiation only. IV. Conclusion It has been observed that in Chanmari the measured average value of power density is higher than that of the safety limit recommendations of Bioinitiative 2012, Salzburg resolution 2000, EU (STOA) 2001; but well below the safety limit recommendations of ICNIRP and the Department of Telecommunications, Govt. of India. However it has been found that many inhabitants are still having health complaints on different symptoms after the tower had been erected in 2007. The most common health complaint is muscle pain. The same trend was Fig. 3 : Frequency spectrum taken in Lawipu Fig. 4 : Frequency spectrum taken in Chanmari
  • 6. Comparative Study of Non specific Health Symptoms Faced by Inhabitants Exposed to High… DOI: 10.9790/4861-07113944 www.iosrjournals.org 44 | Page also observed by R.Santini[10], Lalrinthara Pachuau & Zaithanzauva Pachuau[15]. In Lawipu, power density is very low, the inhabitants are having very few health complaints. Whereas in Chanmari, power density is much higher, health complaints are much more compared to those of Lawipu. As it is observed, muscle pain is significant both in scales 2 and 3, the authors suggested that the effect of RF radiation on muscle be more studied. We conclude that inhabitants exposed to high power densities are having more chance of developing the studied health symptoms; hence mobile tower should not be located in populated area. References [1]. JF Viel, S Clerc, C Barrera, R Rymzhanova, M Moissonnier, M Hours, E Cardis, Residential exposure to Radiofrequency Fields from Mobile Phone Base stations, and Broadcast Transmitters: A population-Based Survey with Personal Meter, Occup Environ Med 66 (2009) 550-556. [2]. AM Martinez-Gonzalez, A Fernandez-Pascual, Practical Procedure for Verification of Compliance of Digital Mobile Radio Base Stations to Limitations of Exposure of the General Public to Electromagnetic Fields, IEEE Proceedings on Microwaves, Antennas and Propagation (USA) 149 (2002) 218-228. [3]. A Ahlbom, A Green, et al, Epidemiology of Health Effects of Radiofrequency Exposure, Environmental Health Perspectives 112(17), (2004), 1741-1754. [4]. U.S Food and Drug Administration (FDA), Radiation emitting Products: Reducing Exposure : Hands-Free Kits and Other Accessories, 2009.http://www.fda.gov/Radiation-Emitting Products/Radiation Emitting Productsand procedures/ Home Businessand Entertainment/ CellPhones/ucm116338.htm [5]. Nora D. Volkow, Dardo Tomasi, Gene-Jack Wang, Paul Vaska, Joanna S. Fowler, Frank Telang, Dave Alexoff, Jean Logan and Christopher Wong, Effects of Cell Phone Radiofrequency Signal Exposure on Brain Glucose Metabolism, Journal of American Medical Association, 305(8), 2011, 808-813. [6]. World Health Organisation (WHO) Media Centre, Electromagnetic Fields and Public Health : Mobile Phones, 2011. http://www.who.int/mediacentre/factsheets/fs193/en/ [7]. Chia SE, Chia H.P, Tan J.S, Prevalence of Headache Among Handheld Cellular Telephone Users in Singapore : A community Study, Environmental Health Perspectives 108(11), 2000, 1059-1062. [8]. [Oftedal G, Wilen G, Sandstrom M, Mild K.H, Symptoms experienced in Connection with Mobile Phone use, Occupational Medicine, 50(4), 2000, 237-245. [9]. International Agency for Research on Cancer, Press release No 208, Lyon, France, 31st May 2011. www.iarc.fr/en/media- centre/pr/2011/pdfs/pr208_E.pdf [10]. R Santini, P Santini, J.M Danze, P Le Ruz, Study of the Health of People living in the vicinity of mobile phone base stations : I. Influences of distance and sex, Pathol Biol 50, 2002, 369-373. [11]. Muoaaz Nahas, Mohammed T. Simsim, Safety Measurements of Electromagnetic Fields Radiated form Mobile Base Stations in the Western Region of Saudi Arabia, Wireless Engineering Technology, 2, 2011, 221-229. [12]. Cindy Sage, David O. Carpenter, Key Scientific Evidence and Public Health Recommendations, in Cindy Sage and David O. Carpenter (Ed) Bioinitiative 2012 : A Rationale for Biologically-based Public Exposure Standards for Electromagnetic Radiation, edited by (Bioinitiative Working Group, 2012), 1424. www.bioinitiative.org [13]. Haumann Thomas, Munzenberg Uwe et al, HF Radiation levels of GSM Cellular Phone Towers in Residential Areas, hbelc.org/pdf/memdocs/cellularphoneradiation.pdf [14]. Department of Telecommunications, Govt. of India, Advisory Guidelines for State Governments for Issue of clearance for installation of Mobile Towers, 2013. http://www.dot.gov.in/access-services/journey-emf [15]. Lalrinthara Pachuau, Zaithanzauva Pachuau, Study of Cell Tower Radiation and its Health Hazards on Human Body, IOSR-JAP, vol.6, 2014, pp 1-6.