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Is the Increasing Incidence of Thyroid Cancer in the Nordic Countries Caused by Use of Mobile Phones?

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International Journal of Environmental Research and Public Health (IJERPH)
Authors:

Abstract

The International Agency for Research on Cancer (IARC) at the World Health Organization (WHO) categorized in 2011 radiofrequency (RF) as a possible human carcinogen, Group 2B. During use of the handheld wireless phone, especially the smartphone, the thyroid gland is a target organ. During the 21st century, the incidence of thyroid cancer is increasing in many countries. We used the Swedish Cancer Register to study trends from 1970 to 2017. During that time period, the incidence increased statistically significantly in women with average annual percentage change (AAPC) +2.13%, 95% confidence interval (CI) +1.43, +2.83%. The increase was especially pronounced during 2010–2017 with annual percentage change (APC) +9.65%, 95% CI +6.68, +12.71%. In men, AAPC increased during 1970–2017 with +1.49%, 95% CI +0.71, +2.28%. Highest increase was found for the time period 2001–2017 with APC +5.26%, 95% CI +4.05, +6.49%. Similar results were found for all Nordic countries based on NORDCAN 1970–2016 with APC +5.83%, 95% CI +4.56, +7.12 in women from 2006 to 2016 and APC + 5.48%, 95% CI +3.92, +7.06% in men from 2005 to 2016. According to the Swedish Cancer Register, the increasing incidence was similar for tumors ≤4 cm as for tumors >4 cm, indicating that the increase cannot be explained by overdiagnosis. These results are in agreement with recent results on increased thyroid cancer risk associated with the use of mobile phones. We postulate that RF radiation is a causative factor for the increasing thyroid cancer incidence.
International Journal of
Environmental Research
and Public Health
Article
Is the Increasing Incidence of Thyroid Cancer in the
Nordic Countries Caused by Use of Mobile Phones?
Michael Carlberg 1, *, Tarmo Koppel 2, Lena K. Hedendahl 1and Lennart Hardell 1
1The Environment and Cancer Research Foundation, Studievägen 35, SE 702 17 Örebro, Sweden;
lenahedendahl@telia.com (L.K.H.); lennart.hardell@environmentandcancer.com (L.H.)
2School of Business and Governance, Tallinn University of Technology, SOC353 Ehitajate Tee 5,
19086 Tallinn, Estonia; tarmo.koppel@taltech.ee
*Correspondence: michael.carlberg@environmentandcancer.com
Received: 29 October 2020; Accepted: 5 December 2020; Published: 7 December 2020


Abstract:
The International Agency for Research on Cancer (IARC) at the World Health Organization
(WHO) categorized in 2011 radiofrequency (RF) as a possible human carcinogen, Group 2B. During use
of the handheld wireless phone, especially the smartphone, the thyroid gland is a target organ.
During the 21st century, the incidence of thyroid cancer is increasing in many countries. We used the
Swedish Cancer Register to study trends from 1970 to 2017. During that time period, the incidence
increased statistically significantly in women with average annual percentage change (AAPC) +2.13%,
95% confidence interval (CI) +1.43, +2.83%. The increase was especially pronounced during 2010–2017
with annual percentage change (APC) +9.65%, 95% CI +6.68, +12.71%. In men, AAPC increased
during 1970–2017 with +1.49%, 95% CI +0.71, +2.28%. Highest increase was found for the time
period 2001–2017 with APC +5.26%, 95% CI +4.05, +6.49%. Similar results were found for all Nordic
countries based on NORDCAN 1970–2016 with APC +5.83%, 95% CI +4.56, +7.12 in women from
2006 to 2016 and APC +5.48%, 95% CI +3.92, +7.06% in men from 2005 to 2016. According to the
Swedish Cancer Register, the increasing incidence was similar for tumors
4 cm as for tumors >4 cm,
indicating that the increase cannot be explained by overdiagnosis. These results are in agreement with
recent results on increased thyroid cancer risk associated with the use of mobile phones. We postulate
that RF radiation is a causative factor for the increasing thyroid cancer incidence.
Keywords:
mobile phone; cordless phone; thyroid cancer; Swedish Cancer Register; NORDCAN;
radiofrequency electromagnetic fields; RF-EMF; ionizing radiation; incidence; Nordic countries
1. Introduction
One established risk factor for thyroid cancer, especially of the papillary type, is ionizing
radiation [
1
]. The first reports of an increased risk were published in the late 1940s and early 1950s [
2
,
3
].
Since then, studies have associated thyroid cancer with diagnostic x-ray investigation [
2
], external
radiotherapy [
4
], and nuclear fallout after the use of A-bombs in Hiroshima and Nagasaki [
5
] as well as
after the Chernobyl and Fukushima disasters [
6
]. In Belarus, fallout of radioiodine after the Chernobyl
accident has been associated with increased incidence of thyroid cancer in children and adolescents [
7
].
No clear excess to thyroid cancer related to caesium-137 deposition was found in Sweden [8].
Thyroid cancer is more common in women than in men. Hormonal and reproductive factors may
explain that dierence [9,10].
During the last two decades, a striking increase in the incidence has been reported in the Nordic
countries [
11
]. Use of computed tomography (CT) and positron emission tomography–computed
tomography (PET-CT) for diagnostic procedures may have contributed to the increased incidence,
but does not seem to explain the whole increase [12,13].
Int. J. Environ. Res. Public Health 2020,17, 9129; doi:10.3390/ijerph17239129 www.mdpi.com/journal/ijerph
Int. J. Environ. Res. Public Health 2020,17, 9129 2 of 9
The thyroid is exposed to radiofrequency (RF) radiation during use of mobile and cordless (DECT)
phones [
14
]. This is especially the situation for smartphones that have been increasingly used since the
early 2000s. In our previous study, we postulated that exposure to RF-radiation might be a causative
factor for the increasing incidence [11].
A case-control study on mobile phone use suggested an increased risk for thyroid cancer [
15
].
The same material was used to study genotype–environment interaction between single nucleotide
polymorphism (SNPs) and mobile phone use [
16
]. The study showed that mobile phone use increased
the risk for thyroid cancer when genetic variants were present within some genes. It was concluded
that pathways related to DNA repair may be involved in the increased risk for thyroid cancer associated
with mobile phone use. The increased risk was seen regardless of tumor size,
10 mm versus >10 mm,
or latency, 13 years versus >13 years [16].
The U.S. National Toxicology Program (NTP) results on the toxicology and carcinogenicity of RF
radiation in rats and mice showed no increased thyroid cancer incidence in mice [
17
]. A statistically
significant increased incidence of C cell hyperplasia was found in the two years of GSM exposed
groups (1.5, 3, and 6 W/kg, respectively) of female rats [
18
]. In males, a statistically non-significant
increased incidence was observed in the 1.5 W/kg exposure group. C cell hyperplasia is a precursor to
familial medullary thyroid cancer in humans and may also be a precursor to other types of thyroid
cancer [19].
We studied the incidence of thyroid cancer using the Swedish Cancer Register and NORDCAN
for the Nordic countries. Our previous published results [
11
] were thus updated. Since no personal
identification was used, no ethical permission was needed.
2. Materials and Methods
2.1. Study Design
The National Board of Health and Welfare administers the Swedish Cancer Register. It has
yearly updates and was started in 1958. The tumor diagnosis is based on clinical examination,
histology/cytology, surgery, and/or autopsy. Additionally, laboratory investigations, CT, and MRI are
used for diagnosis.
The ICD-7 code 194 is used in the Swedish Cancer Register for thyroid cancer. We studied the
aged-adjusted incidence per 100,000 person years according to the world population for the time
period 1970–2017. The database was updated until 2018, but the last year was excluded due to a
delay in the reporting of cases leading to an underestimation of number of tumors for that year
according to the Swedish Cancer Register (note in the online database). The data are available online
(https://sdb.socialstyrelsen.se/if_can/val.aspx).
NORDCAN was used for all Nordic countries (Sweden, Denmark, Finland, Norway, and Iceland)
to study thyroid cancer incidence (ICD-10 code C73) for the time period 1970–2016 (latest update).
Thereby age-adjustment was made according to the world population. The data are available online
(http://www-dep.iarc.fr/NORDCAN/english/frame.asp).
2.2. Statistical Methods
Trends in age-standardized incidence of thyroid cancer by fitting a model of 0–5 joinpoints settings
in default mode was analyzed using the
National Cancer Institute (NCI) Joinpoint Regression Analysis program, version 4.8.0.1 [
20
].
Annual percentage changes (APC) and 95% confidence intervals (CI) were calculated for each linear
segment when joinpoints were detected. For the whole time period, average annual percentage
changes (AAPC) were calculated using the average of the APCs weighted by the length of the segment.
To calculate APC and AAPC, the data were log-transformed prior to analysis. Thus, it was not possible
to perform joinpoint regression analysis when there were years with no cases during the time period.
Int. J. Environ. Res. Public Health 2020,17, 9129 3 of 9
3. Results
3.1. The Swedish Cancer Register
For the whole study period of 1970–2017, the incidence increased statistically significantly in
women with AAPC +2.13% (95% CI +1.43, +2.83%), Table 1. Three joinpoints were detected, 1979,
1999, and 2010 with especially high APC for the last period 2010–2017; APC +9.65% (95% CI +6.68,
+12.71%). AAPC was statistically significantly increased in all age groups except for the oldest age of
80+years. It is to be noted that AAPC also increased statistically significantly among the youngest
persons of 0–19 years with +1.69% (95% CI +0.88, +2.51%).
Figure 1shows the increasing incidence in women from 1999. Note, especially from 2010, a steep
increasing curve.
Int. J. Environ. Res. Public Health 2020, 17, x 3 of 10
3. Results
3.1. The Swedish Cancer Register
For the whole study period of 1970–2017, the incidence increased statistically significantly in
women with AAPC +2.13% (95% CI +1.43, +2.83%), Table 1. Three joinpoints were detected, 1979,
1999, and 2010 with especially high APC for the last period 2010–2017; APC +9.65% (95% CI +6.68,
+12.71%). AAPC was statistically significantly increased in all age groups except for the oldest age of
80+ years. It is to be noted that AAPC also increased statistically significantly among the youngest
persons of 0–19 years with +1.69% (95% CI +0.88, +2.51%).
Figure 1 shows the increasing incidence in women from 1999. Note, especially from 2010, a steep
increasing curve.
Figure 1. Joinpoint regression analysis of age-standardized incidence of thyroid cancer for women,
all ages 1970–2017. Incidence per 100,000 inhabitants for ICD-7 code 194 according to the Swedish
Cancer Register (https://sdb.socialstyrelsen.se/if_can/val.aspx).
According to Table 2, the increasing incidence of thyroid cancer was less dramatic in men during
1970–2017 with AAPC +1.49% (95% CI +0.71, +2.28%). AAPC increased statistically significantly in all
age groups except for 80+ years. Due to few persons in the youngest age group 0–19 years (n = 98),
AAPC could not be calculated. The highest increasing APC was found in men aged 20–39 years for
the time period 2001–2017; +7.80%, (95% CI +4.17, 11.54%).
Figure 1.
Joinpoint regression analysis of age-standardized incidence of thyroid cancer for women,
all ages 1970–2017. Incidence per 100,000 inhabitants for ICD-7 code 194 according to the Swedish
Cancer Register (https://sdb.socialstyrelsen.se/if_can/val.aspx).
Int. J. Environ. Res. Public Health 2020,17, 9129 4 of 9
Table 1.
Joinpoint regression analysis of thyroid cancer incidence in women in the Swedish Cancer
Register 1970–2017. ICD-7 code 194 (https://sdb.socialstyrelsen.se/if_can/val.aspx). APC =Annual
Percentage Change (APC 1 =time from 1970 to first joinpoint; APC 2 =time from first joinpoint to 2017
or to second joinpoint; APC 3 =time from second joinpoint to 2017 or to third joinpoint; APC 4 =time
from third joinpoint to 2017); AAPC =Average Annual Percentage Change.
ICD-7 Joinpoint
Location
APC 1
(95% CI)
APC 2
(95% CI)
APC 3
(95% CI)
APC 4
(95% CI)
AAPC
(95% CI)
194
All women
(n=13,020)
1979; 1999;
2010
+2.26
(+0.36,
+4.20)
1.50
(2.10,
0.90)
+4.13
(+2.48,
+5.81)
+9.65
(+6.68,
+12.71)
+2.13
(+1.43,
+2.83)
0–19 years
(n=318)
No joinpoint
detected - - - -
+1.69
(+0.88,
+2.51)
20–39 years
(n=2935) 2002
+0.53
(+0.07,
+0.99)
+7.16
(+5.64,
+8.70)
- -
+2.60
(+2.05,
+3.15)
40–59 years
(n=4223) 2002
0.95
(1.60,
0.29)
+7.39
(+5.20,
+9.63)
– -
+1.64
(+0.85,
+2.43)
60–79 years
(n=4166) 1974; 2003
+9.50
(2.44,
+22.91)
2.11
(2.70,
1.52)
+6.00
(+4.20,
+7.83)
-
+1.20
(+0.06,
+2.35)
80+years
(n=1378) 1979; 1996
+2.40
(1.75,
+6.73)
4.57
(6.22,
2.90)
+0.52
(0.63,
+1.69)
-
1.00
(2.08,
+0.10)
According to Table 2, the increasing incidence of thyroid cancer was less dramatic in men during
1970–2017 with AAPC +1.49% (95% CI +0.71, +2.28%). AAPC increased statistically significantly in all
age groups except for 80+years. Due to few persons in the youngest age group 0–19 years (n=98),
AAPC could not be calculated. The highest increasing APC was found in men aged 20–39 years for the
time period 2001–2017; +7.80%, (95% CI +4.17, 11.54%).
Int. J. Environ. Res. Public Health 2020, 17, x 4 of 10
The age-standardized incidence of thyroid cancer (ICD-194) per 100,000 using joinpoint
regression analysis is shown in Figure 2. In men, an increasing incidence is shown from 2001.
Figure 2. Joinpoint regression analysis of age-standardized incidence of thyroid cancer for men, all
ages 1970–2017. Incidence per 100,000 inhabitants for ICD-7 code 194 according to the Swedish Cancer
Register (https://sdb.socialstyrelsen.se/if_can/val.aspx).
Table 1. Joinpoint regression analysis of thyroid cancer incidence in women in the Swedish Cancer
Register 1970–2017. ICD-7 code 194 (https://sdb.socialstyrelsen.se/if_can/val.aspx). APC = Annual
Percentage Change (APC 1 = time from 1970 to first joinpoint; APC 2 = time from first joinpoint to
2017 or to second joinpoint; APC 3 = time from second joinpoint to 2017 or to third joinpoint; APC 4
= time from third joinpoint to 2017); AAPC = Average Annual Percentage Change.
ICD-7 Joinpoint Location APC 1
(95% CI)
APC 2
(95% CI)
APC 3
(95% CI)
APC 4
(95% CI)
AAPC
(95% CI)
194
All women
(n = 13,020) 1979; 1999; 2010 +2.26
(+0.36, +4.20)
1.50
(2.10, 0.90)
+4.13
(+2.48, +5.81)
+9.65
(+6.68, +12.71)
+2.13
(+1.43, +2.83)
0–19 years
(n = 318) No joinpoint detected - - - - +1.69
(+0.88, +2.51)
20–39 years
(n = 2935) 2002 +0.53
(+0.07, +0.99)
+7.16
(+5.64, +8.70) - -
+2.60
(+2.05, +3.15)
40–59 years
(n = 4223) 2002 0.95
(1.60, 0.29)
+7.39
(+5.20, +9.63) -- -
+1.64
(+0.85, +2.43)
60–79 years
(n = 4166) 1974; 2003 +9.50
(2.44, +22.91)
2.11
(2.70, 1.52)
+6.00
(+4.20, +7.83) - +1.20
(+0.06, +2.35)
80+ years
(n = 1378) 1979; 1996 +2.40
(1.75, +6.73)
4.57
(6.22, 2.90)
+0.52
(0.63, +1.69) - 1.00
(2.08, +0.10)
Figure 2.
Joinpoint regression analysis of age-standardized incidence of thyroid cancer for men, all ages
1970–2017. Incidence per 100,000 inhabitants for ICD-7 code 194 according to the Swedish Cancer
Register (https://sdb.socialstyrelsen.se/if_can/val.aspx).
Int. J. Environ. Res. Public Health 2020,17, 9129 5 of 9
Table 2.
Joinpoint regression analysis of thyroid cancer incidence in men in the Swedish Cancer Register
1970–2017. ICD-7 code 194 (https://sdb.socialstyrelsen.se/if_can/val.aspx). APC =Annual Percentage
Change (APC 1 =time from 1970 to first joinpoint; APC 2 =time from first joinpoint to 2017 or to second
joinpoint; APC 3 =time from second joinpoint to 2017); AAPC =Average Annual Percentage Change.
ICD-7 Joinpoint
Location
APC 1
(95% CI)
APC 2
(95% CI)
APC 3
(95% CI)
AAPC
(95% CI)
194
All men
(n=5047) 1977; 2001 +3.31
(0.78, +7.56)
1.45
(2.11, 0.79)
+5.26
(+4.05, +6.49)
+1.49
(+0.71, +2.28)
0–19 years
(n=98) -----
20–39 years
(n=800) 2001 0.67
(1.92, +0.60)
+7.80
(+4.17, +11.54) -+2.13
(+0.72, +3.57)
40–59 years
(n=1508) 2003 0.58
(-1.25, +0.09)
+5.54
(+2.99, +8.16) -+1.21
(+0.36, +2.06)
60–79 years
(n=2184) 1980; 2001 +2.69
(0.10, +5.56)
2.52
(3.46, 1.57)
+4.77
(+3.36, +6.20)
+1.02
(+0.17, +1.87)
80+years
(n=457)
No joinpoint
detected - - - 1.45
(2.64, 0.24)
3.2. NORDCAN
In women, based on NORDCAN, the incidence of thyroid cancer increased statistically significantly
during 1970–2016 with AAPC +2.18% (95% CI +1.73, +2.64%), Table 3.
Table 3.
Joinpoint regression analysis of thyroid cancer incidence in women and men in the Nordic
countries according to NORDCAN 1970–2016, ICD-10 code C73 (https://www-dep.iarc.fr/NORDCAN/
english/frame.asp). APC =Annual Percentage Change (APC 1 =time from 1970 to first joinpoint;
APC 2 =time from first joinpoint to 2016 or to second joinpoint; APC 3 =time from second joinpoint to
2016); AAPC =Average Annual Percentage Change.
ICD-10 Joinpoint
Location
APC 1
(95% CI)
APC 2
(95% CI)
APC 3
(95% CI)
AAPC
(95% CI)
C73
All women (n=36,050)
1976; 2006 +4.61
(+1.90, +7.39)
+0.52
(+0.28, +0.77)
+5.83
(+4.56, +7.12)
+2.18
(+1.73, +2.64)
All men (n=13,078) 2005 +0.35
(+0.09, +0.61)
+5.48
(+3.92, +7.06) -+1.55
(+1.15, +1.96)
This was based on 36,050 female cancer cases. Two joinpoints were found: 1976 and 2006.
During 2006 to 2016, APC increased statistically significantly with +5.83% (95% CI +4.56, +7.12%).
These results are also shown in Figure 3.
The incidence increased statistically significantly in men during 1970–2016 with AAPC +1.55%
(95% CI +1.15, +1.96%), Table 3. Highest increase was found during more recent years with joinpoint
2005; APC +5.48% (95% CI +3.92, +7.06%), see also Figure 4.
Int. J. Environ. Res. Public Health 2020,17, 9129 6 of 9
Figure 3.
Joinpoint regression analysis of age-standardized incidence of thyroid cancer for women,
all ages 1970–2016. Incidence per 100,000 inhabitants for ICD-10 code C73 in the Nordic countries
according to NORDCAN (https://www-dep.iarc.fr/NORDCAN/english/frame.asp).
Int. J. Environ. Res. Public Health 2020, 17, x 6 of 10
Figure 3. Joinpoint regression analysis of age-standardized incidence of thyroid cancer for women,
all ages 1970–2016. Incidence per 100,000 inhabitants for ICD-10 code C73 in the Nordic countries
according to NORDCAN (https://www-dep.iarc.fr/NORDCAN/english/frame.asp).
Figure 4. Joinpoint regression analysis of age-standardized incidence of thyroid cancer for men, all
ages 1970–2016. Incidence per 100,000 inhabitants for ICD-10 code C73 in the Nordic countries
according to NORDCAN (https://www-dep.iarc.fr/NORDCAN/english/frame.asp).
Figure 4.
Joinpoint regression analysis of age-standardized incidence of thyroid cancer for men, all ages
1970–2016. Incidence per 100,000 inhabitants for ICD-10 code C73 in the Nordic countries according to
NORDCAN (https://www-dep.iarc.fr/NORDCAN/english/frame.asp).
Int. J. Environ. Res. Public Health 2020,17, 9129 7 of 9
4. Discussion
The main result in this study was increasing thyroid cancer incidence in Sweden during
the study period 1970–2017, especially during the more recent years in both men and women.
The increase was even higher than during 1970–2013, as presented in our previous publication [
11
].
Thus, AAPC in women was now +2.13% compared with +1.19% during our previous study period.
The corresponding results in men were +1.49% and +0.77%, respectively. In men, the AAPC increase
was now statistically significant.
Increasing statistically significant AAPC was found in all age groups for both genders except those
aged 80+years and in men 0–19 years. These results were based on lower numbers and are similar to
those in our previous publication [
11
]. In both men and women, increasing APC was found from early
2000. Thus, since 2002, thyroid cancer incidence increased in women yearly more than +7% in the
age groups 20–39 and 40–59 years. From 2003, APC increased with +6% in the age group 60–79 years.
It is noteworthy that for all women, the yearly increase was almost +10% during 2010–2017. A similar
pattern was found in men with APC about +5% to almost +8% in the three age groups 20–79 years
since the beginning of the 21st century.
According to NORDCAN, the thyroid cancer incidences increased statistically significantly from
2006 in women and from 2005 in men based on a fairly large number of cancer cases. The increase was
comparable in both women and men during these time periods at +5.83% versus +5.48%.
Since this is a register-based study, the results must be interpreted with caution. The results
were given for age groups and were gender-specific. However, these results do definitely indicate an
etiologic impact of an exogenous cancer-causing factor with increasing exposure over time. In our
previous publication [
11
], we made a comprehensive discussion of dierent risk factors. One risk factor
might be pollution [
21
]. Another good candidate is no doubt the use of wireless phones, especially
the handheld smartphone that due to the antenna position gives RF exposure to the thyroid gland.
This organ is one of the highest exposed aside from the brain during the use of smartphones [
14
].
These phones have been increasingly common since the early 21st century and are now the only types
that are marketed. The first generations of mobile phones were introduced in the 1980s as well as the
cordless desktop phone (DECT). Additionally, these handheld phones give oRF radiation to the head
and neck region.
A fairly short latency period has been found for ionizing radiation induced thyroid cancer with
increasing risk beginning 5–10 years after radiation [
22
]. Thus, the sharp current increase in thyroid
cancer incidence may be radiation induced, most likely RF radiation from the handheld phone. It is
noteworthy that Luo et al. [16] also found increased risk in the shortest latency period of 13 years.
Increasing thyroid cancer incidence has been seen worldwide during the last 20 years, and is
expected to be the fourth most common cancer by 2030 [
23
]. The rising trend has been reported in
dierent continents with dierent health systems and ethnicities [24].
So called overdiagnosis has been suggested to explain the increasing thyroid cancer incidence [
12
]
due to better access to health care and screening. However, screening for thyroid cancer is not
performed in the Nordic countries and there are no social or demographic dierences for health
access. Diagnostic patterns might be a contributing factor but do not explain the increasing incidence,
especially during recent years [
25
]. This is supported by the recent results also showing increased risk
from RF radiation for tumors
10 mm [
16
]. Interestingly, according to the Swedish Cancer Register,
there is a similar incidence increase during 2005–2018 for tumors
4 cm (T1-T2) as for tumors >4 cm
(T3-T4), or with invasive growth into surrounding tissue. The percentage between these groups was
about the same over the years, indicating that the increasing incidence is not due to overdiagnosis [
26
].
Ionizing radiation is an established risk factor. Increasing use of x-ray investigations for diagnostic
procedures may be contributing to the increased incidence, especially for the radio-sensitive papillary
type [
27
]. Chest CT and whole-body trauma CT are increasingly used, but does not explain the
pattern of increasing incidence of thyroid cancer; for discussion, see Carlberg et al. [
11
]. Diet has been
suggested to be of etiologic importance for thyroid cancer. In a prospective study, intake of iodine-rich
Int. J. Environ. Res. Public Health 2020,17, 9129 8 of 9
foods and goitrogens were indicated to influence the risk [
28
]. However, there have been no known
sudden changes of the food habits in the Nordic countries that can explain our findings.
5. Conclusions
Thyroid cancer incidence has been steeply increasing in Sweden and all Nordic countries during
the 21st century. Use of the handheld mobile phone is increasing, in particular, the smartphone gives
high RF radiation exposure to the thyroid gland. It is postulated that this might be a causative factor
for the increasing incidence supported by human epidemiology that has shown an association between
mobile phone use and thyroid cancer.
Author Contributions:
Conceptualization, L.H. and M.C.; Methodology, L.H. and M.C.; Software, M.C.; Formal
analysis, M.C.; Investigation, L.H., M.C., T.K., and L.K.H.; Data curation, M.C.; Writing—original draft preparation,
L.H.; Writing—review and editing, L.H., M.C., T.K., and L.K.H.; Supervision, L.H. All authors have read and
agreed to the published version of the manuscript.
Funding: This research received no external funding.
Conflicts of Interest: The authors declare no conflict of interest.
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... Owing to its frequent use, non-ionizing radiation is likely to cause thyroid abnormalities. 6 A study suggested that increased cell phone use is a contributing factor to higher incidence rate of thyroid cancer in Sweden and other Nordic countries. ...
... There were 15 experimental studies 40,42,43,[45][46][47][48][49][51][52][53][54] included with five studies examining the effect of non-ionizing EMF on thyroid hormone functions, 42,45,46,52,54 nine studies examining the changes of the histocellular morphology, 40,43,[47][48][49][51][52][53] and one study examining both parameters 44 (Table 1). The observational studies consisted of ten studies; four of them assessed the effect of non-ionizing EMF on thyroid hormone function, 55,56,58,63 five studies assessed the association with thyroid cancer incidence, 6,39,57,59,61 and one study examined the impact both on the thyroid gland morphological changes and the thyroid hormone functions 60 ( Table 2). Most of the experimental research publications were from Sweden 49,51,52 which predominantly published in 2005 46,49 (see Table 1). ...
... [41][42][43][44]53 Studies had the distance of 10 cm 43 -40 cm, 53 where most of them employed 12-cm distance. 49,51,52 Observational studies Six studies investigated the effects of non-ionizing EMF radiation on the morphology and histocellularity of the thyroid gland 6,57,[59][60][61][62] (Table 2). A disagreement was found among the studies; two studies reported an association, 60,62 two studiesno association., 59,61 while two others required further research for conclusive findings. ...
Article
Background : This review aimed to emphasize the effects, mechanisms involved, conditions required to trigger impacts, and the adapted responses of EMF on thyroid gland. Methods : The included literatures were collected from the Oceania Radiofrequency Scientific Advisory Association (ORSAA) database which were published before April 2021. The searched was then refined with keyword ‘thyroid’. Results : A total of 15 experimental studies, 10 observational studies, 4 review articles, and 1 medical hypothesis were included. Hypothyroidism is the most reported functional abnormality. The identified morphological abnormalities of the thyroid gland include increased follicular epithelial and interfollicular tissue, decreased colloid volume of cubic cells, follicular fluid, interfollicular space, changes in lysosomes, granular endoplasmic reticulum, cell nuclei, changes in glandular structures including cell hypotrophy, glandular hypertrophy, and increased apoptosis via caspase-dependent pathways. The observational studies reported an increase in thyroid cancer incidence and the diameter of the left anteroposterior of the thyroid gland. Postulation that thyroid cancer is associated with thyroid cancer EMF exposure, is suggested by a medical hypothesis paper. The possibilities of hypothyroidism, thyroid cancer, and cell apoptosis due to EMF exposure have been highlighted in the review articles. Conclusion : Despite these findings, critical elements, such as the effects and mechanisms of EMF exposure on thyroid hormone transporters, genomic and non-genomic actions, conditions required for the effect to occur, and the resultant adapted responses, have not been explored suggesting the need of further research.
... Despite limited understanding of the causes, the increasing trends of TC in AYAs may be attributed to several risk factors. First, lifestyle changes, such as cumulative exposure to metabolic syndrome [22][23][24], use of mobile phones [25,26], reduced sleep duration [27] and dietary habits [28], may lead to an increased incidence and prevalence of TC in AYAs. Second, the widespread adoption of ...
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Background Thyroid cancer (TC) is the most common malignancy of the endocrine system and head-and-neck region, yet data on its burden in adolescents and young adults (AYAs) is lacking. This study aimed to estimate the global burden of TC among AYAs from 1990 to 2021. Methods Utilizing the Global Burden of Disease (GBD) 2021 data, we analyzed age-standardized rates of incidence, prevalence, and disability-adjusted life-years (DALYs) on global, regional, and national scales. Joinpoint regression was employed to determine average annual percentage change (AAPC), with frontier analysis revealing regions for improvement. Decomposition analysis assessed the impacts of population aging, growth, and epidemiological changes. Projections for disease burden extending to 2040 were generated using the Bayesian Age-Period-Cohort model. Result In 2021, there were 48.2 thousand incident cases, 436.1 thousand prevalent cases, and 183.5 thousand DALYs worldwide. Meantime, the age-standardized incidence rates (ASIR), age-standardized prevalence rates (ASPR), and age-standardized DALYs rates (ASDR) were 1.6, 14.3 and 6.1 per 100 000, respectively. From 1990 to 2021, the ASIR, ASPR and ASDR increased with AAPCs of 1.73, 1.77, and 0.38, respectively. Socio-demographic resources in Saudi Arabia, Taiwan (Province of China), Iceland, United Arab Emirates, and United States Virgin Islands have the potential to lower ASDR due to TC among AYAs. Furthermore, 13.3 thousand and 34.9 thousand new cases occurred in the males and females in 2021. Among 5 age groups, the highest numbers of incidence, prevalence, and DALYs, along with ASRs, were observed in the 35–39 age group. Global projections indicated a continuous rise in numbers of incidence, prevalence, and DALYs, with estimates of 60.2 thousand, 558.4 thousand, and 199.7 thousand by 2040, respectively. Conclusion The global burden of TC among AYAs was on the rise, with significant disparities by regions, genders, and age groups, highlighting the necessity for targeted and effective interventions.
... As our exposure to electromagnetic radiation increases daily, driven by the rapid development of wireless technologies, it is evident that scientific research on the possible side effects on the thyroid gland is also constantly expanding [1][2][3][4][5][6][7][8][9][10][11][12]. Furthermore, a variety of thyroid models has been developed in recent years to support attempts at representing the interaction of the thyroid with devices, improving screening techniques, and detecting diseases such as cancer [13][14][15][16][17]. Within this framework, we introduce the thyroid sensor system and its variations. ...
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The thyroid gland, which is sensitive to electromagnetic radiation, plays a crucial role in the regulation of the hormonal levels of the human body. Biosensors, on the other hand, are essential to access information and derive metrics about the condition of the thyroid by means of of non-invasive techniques. This paper provides a systematic overview of the recent literature on bioelectromagnetic models and methods designed specifically for the study of the thyroid. The survey, which was conducted within the scope of the radiation transmitter–thyroid model–sensor system, is centered around the following three primary axes: the bands of the frequency spectrum taken into account, the design of the model, and the methodology and/or algorithm. Our review highlights the areas of specialization and underscores the limitations of each model, including its time, memory, and resource requirements, as well as its performance. In this manner, this specific work may offer guidance throughout the selection process of a bioelectromagnetic model of the thyroid, as well as a technique for its analysis based on the available resources and the specific parameters of the electromagnetic problem under consideration.
... Smartphones are classified as non-ionizing electromagnetic field devices, potentially carcinogenic to humans [40]. Due to the antenna being located at the bottom, the thyroid gland in the neck is more susceptible to exposure to radio frequency electromagnetic radiation than the brain [41,42]. The pathogenesis of mobile phone use and TC is mainly explained by the carcinogenic mechanism of electromagnetic radiation. ...
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In recent years, there has been a rapid increase in the prevalence of benign and malignant tumours of the thyroid gland worldwide, positioning it as one of the most prevalent neoplasms within the endocrine system. While the pathogenesis of thyroid tumours is still unclear, an increasing number of studies have found that certain lifestyle and residence environments are associated with their occurrence and development. This article endeavours to elucidate the correlation between lifestyle, residential environment, and the increased prevalence of thyroid cancer in recent years. It specifies the frequency of the lifestyle and outlines the scope of the residential environment. It also endeavours to summarise the main mechanistic pathways of various modifiable risk factors that cause thyroid cancer. Factors that prevent thyroid cancer include smoking and alcohol consumption, quality and regular sleep, consumption of cruciferous vegetables and dairy products, and consistent long-term exercise. Conversely, individuals with specific genetic mutations have an elevated risk of thyroid cancer from prolonged and frequent use of mobile phones. In addition, individuals who work in high-pressure jobs, work night shifts, and live near volcanoes or in environments associated with pesticides have an elevated risk of developing thyroid cancer. The impact of living near a nuclear power plant on thyroid cancer remains inconclusive. Raising awareness of modifiable risk factors for thyroid cancer will help to accurately prevent and control thyroid cancer. It will provide a scientific basis for future research on lifestyles and living environments suitable for people at high risk of thyroid cancer.
... In both indoor and outdoor environments, problems due to exposure to several RF sources (WiFi, Bluetooth, and others) and interference between various devices are increasing [2]. Excessive exposure to this type of radiation is harmful to human health by increasing the likelihood of cancers and other diseases [3,4]. Biological systems and tissues absorb non-ionizing electromagnetic radiation, causing molecule vibration and thus heating [5,6]. ...
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Biochar (bio-charcoal) is a low-cost and eco-friendly material. It can be obtained by thermochemical conversion of different biomass sources, for example, in the total absence of oxygen (pyrolysis) or in oxygen-limited atmosphere (gasification). The porous carbonaceous structure of biochar, resulting from the thermal treatment, can be exploited in cement-based composite production. By introducing biochar powder or other fillers in the cement paste, it is possible to enhance the shielding properties of the cement paste. The environmental impact of polyvinyl chloride (PVC) can be reduced by reusing it as a filler in cement-based composites. In this work, cement-based composites filled with different percentages of biochar and PVC are fabricated. The scattering parameters of samples with 4mm thickness are measured by mean of a rectangular waveguide in the C-band. The shielding effectiveness of reference samples without any filler and samples with biochar and PVC is analyzed. A combination of 10 wt.% biochar and 6 wt.% PVC provides the best shielding performance (around 16 dB).
... Recently, microbial growth on MPs was related to the electromagnetic radiation (EMR) emissions of the same MPs by considering the value of the devices' specific absorption rate (SAR) as an independent variable [30]. MPs are complex electronic devices that receive and transmit EMR at the frequency range of radio frequencies [31]. EMR transfers energy on materials, causing both thermal and biological effects on unicellular and multicellular living organisms [30,32,33]. ...
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We quantitatively and qualitatively evaluated the bacterial contamination of mobile phones (MPs) in relation to users’ demographics, habits, and device characteristics by administering questionnaires to 83 healthcare university students and sampling their MPs by following a cross-sectional design. The heterotrophic plate count (HPC) at 22 °C (HPC 22 °C) and 37 °C (HPC 37 °C), Enterococci, Gram-negative bacteria, and Staphylococci were evaluated. Higher bacterial loads were detected for HPC 37 °C and Staphylococci (416 and 442 CFU/dm², respectively), followed by HPC 22 °C, Enterococci, and Gram-negative bacteria; the vast majority of samples were positive for HPC 37 °C, HPC 22 °C, and Staphylococci (98%), while Enterococci (66%) and Gram-negative bacteria (17%) were detected less frequently. A statistically significant positive correlation (r = 0.262, p < 0.02) was found between the European head specific absorption rate (SAR) and both HPC 37 °C and Staphylococci; Enterococci showed a strong, significant correlation with HPC 37 °C, HPC 22 °C, and Gram-negative bacteria (r = 0.633, 0.684, 0.884) and a moderate significant correlation with Staphylococci (r = 0.390). Significant differences were found between HPC 22 °C and the type of internship attendance, with higher loads for Medicine. Students with a daily internship attendance had higher HPC 22 °C levels than those attending <6 days/week. Our study showed that bacteria can survive on surfaces for long periods, depending on the user’s habits and the device’s characteristics.
... [71][72][73][74][75][76] That the thyroid cancer increase may be due to radiofrequency radiation of cell phones, since they are held close to the neck, has also been raised. 77 Other causes of the thyroid cancer increase, which have been suggested, are obesity, 29,44 endocrine-disrupting chemical and sex hormone changes during puberty, 78 and improved iodine nutrition. 79 Since overdiagnosis of thyroid cancer has been more obvious in females 4,75,76,78,80 and our analyses have AYA females undergoing a reversal in the incidence trend from increasing to statistically significantly decreasing (Supplementary Fig. S1), overdiagnosis is even more likely a primary cause of increase (and diminish the cell phone probability). ...
Article
Purpose: This study aimed to identify cancer incidence trends in the United States and globally in adolescents and young adults (AYAs) 15-39 years of age, by sex, and to speculate on causes for trend changes. Methods: For the United States, SEER*Stat was used to obtain average annual percent change (AAPC) trends in cancer incidence during the period 2000-2019 among 395,163 AYAs. For global data, the source was the Institute of Health Metrics and Evaluation and its sociodemographic index (SDI) classification system. Results: In the United States, the invasive cancer incidence increased during the period 2000-2019 in both females (AAPC: 1.05, 95% CI: 0.90-1.20, p << 0.001) and males (AAPC: 0.56, 95% CI: 0.43-0.69, p << 0.001). A total of 25 and 20 types of cancers increased statistically significantly in female and male AYAs, respectively. Among potential causes for the increases, the obesity epidemic in the United States strongly correlates with the overall cancer increase in both its female (Pearson correlation coefficient R2 = 0.88, p = 0.0007) and male (R2 = 0.83, p = 0.003) AYAs, as does the most common malignancy in American AYAs, breast cancer (R2 = 0.83, p = 0.003). Worldwide, cancer incidence in the age group increased steadily during the period 2000-2019 among high-middle, middle, and low-middle SDI countries, but not in low SDI countries and with slowing of increase in high SDI countries. Conclusions: The increases and their age-dependent profiles implicate several causations that are preventable, including obesity, overdiagnosis, unnecessary diagnostic radiation, human papilloma virus infection, and cannabis avoidance. The United States is beginning to reverse the increasing incidence, and prevention efforts should be augmented accordingly.
... The epidemiological literature linking brain cancer and cell phones peaked around 2011, while fewer recent (~2017) reports link thyroid cancer to cell phones. Keeping in mind that latency should be less in thyroid than in brain cancer [70], the Hardell group found an increased incidence of thyroid cancer in the Nordic countries in the last two decades [69] and confirmed its link to mobile phone use [71]. A case-control study followed by a genetics assessment suggested an increased risk for thyroid cancer associated with long-term use [72,73]. ...
Article
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In the 1990s, the Institute of Electrical and Electronics Engineers (IEEE) restricted its risk assessment for human exposure to radiofrequency radiation (RFR) in seven ways: (1) Inappropriate focus on heat, ignoring sub-thermal effects. (2) Reliance on exposure experiments performed over very short times. (3) Overlooking time/amplitude characteristics of RFR signals. (4) Ignoring carcinogenicity, hypersensitivity, and other health conditions connected with RFR. (5) Measuring cellphone Specific Absorption Rates (SAR) at arbitrary distances from the head. (6) Averaging SAR doses at volumetric/mass scales irrelevant to health. (7) Using unrealistic simulations for cell phone SAR estimations. Low-cost software and hardware modifications are proposed here for cellular phone RFR exposure mitigation: (1) inhibiting RFR emissions in contact with the body, (2) use of antenna patterns reducing the Percent of Power absorbed in the Head (PPHead) and body and increasing the Percent of Power Radiated for communications (PPR), and (3) automated protocol-based reductions of the number of RFR emissions, their duration, or integrated dose. These inexpensive measures do not fundamentally alter cell phone functions or communications quality. A health threat is scientifically documented at many levels and acknowledged by industries. Yet mitigation of RFR exposures to users does not appear as a priority with most cell phone manufacturers.
Article
Introduction: Thyroid function depends on iodine uptake by the body as well as on exposure to various harmful environmental hazards (stress, ionizing radiation). Aim: The aim of the work was to assess the effect of exposure to low and intermediate doses of external γ-radiation on the thyroid structure and function in young female rats at remote periods after radiation. Materials and methods: Forty female rats were used to study remote effects of external γ-radiation exposure during 20 d (at daily doses of 0.1, 0.25 and 0.5 Gy) on the functional activity (levels of thyroid hormones, iodine metabolism) and the morphological structure of the rat thyroid) after 12 months following the radiation exposure. Results: An increase in thyroid mass and a decrease in total thyroid protein concentration along with a reduction of blood T3 and T4 was shown only in rat groups exposed to 0.25 and 0.5 Gy. Both the concentration of total iodine and its protein-bound fraction (1.2-1.4 fold, p < .01) and the protein-bound to total iodine ratio were decreased in the thyroids of all irradiated animals. The 0.1-Gy group showed elevated thyroperoxidase (TPO) activity along with increased catalase activity, which may indicate the activation of iodine oxidation by thyrocytes. Only the 0.5-Gy group demonstrated reduced urinary excretion of iodine (2.1 fold, p < .01).The reduction of thyroid function at radiation doses of 0.25 and 0.5 Gy was characterized by a microfollicular structure and the development of atrophic changes in the parenchyma, desquamation of thyroid epithelium and an increase in epithelium proliferation. The diameter of the thyrocyte nuclei was increased in rats exposed to 0.25 and 0.5 Gy, which indicates functional tension of thyrocytes. Conclusion: Our research shows that after a year, the exposure to external γ-radiation of 0.1, 0.25 and 0.5-Gy caused changes in the structure and function of the rat thyroid which are manifested by the development of hypothyroiditis (0.5 Gy), 'subclinical' hypothyroiditis (0.25 Gy) and functional tension of thyrocytes. The mechanisms of thyroid dysfunction - impaired- uptake of iodine and its organification against the background of activation of free radical processes - suggest disturbances in the function of the sodium/iodide symporter (NIS), TPO and thyroglobulin synthesis. In contrast to the intermediate doses, the effects of the 0.1-Gy dose were mostly found at the remote periods compared to the earlier periods (180 days).
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During the use of handheld mobile and cordless phones, the brain is the main target of radiofrequency (RF) radiation. An increased risk of developing glioma and acoustic neuroma has been found in human epidemiological studies. Primarily based on these findings, the International Agency for Research on Cancer (IARC) at the World Health Organization (WHO) classified in May, 2011 RF radiation at the frequency range of 30 kHz‑300 GHz as a 'possible' human carcinogen, Group 2B. A carcinogenic potential for RF radiation in animal studies was already published in 1982. This has been confirmed over the years, more recently in the Ramazzini Institute rat study. An increased incidence of glioma in the brain and malignant schwannoma in the heart was found in the US National Toxicology Program (NTP) study on rats and mice. The NTP final report is to be published; however, the extended reports are published on the internet for evaluation and are reviewed herein in more detail in relation to human epidemiological studies. Thus, the main aim of this study was to compare earlier human epidemiological studies with NTP findings, including a short review of animal studies. We conclude that there is clear evidence that RF radiation is a human carcinogen, causing glioma and vestibular schwannoma (acoustic neuroma). There is some evidence of an increased risk of developing thyroid cancer, and clear evidence that RF radiation is a multi‑site carcinogen. Based on the Preamble to the IARC Monographs, RF radiation should be classified as carcinogenic to humans, Group 1.
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São Paulo, a megacity in South America, is the largest consumer of fossil fuels in Brazil. The petrochemical products play an important role in the Brazilian economy and in the energy matrix. The compounds emitted when oil is used or processed can affect air quality and endanger human health. Particulate matter and gaseous samples were collected simultaneously in 2015 at an urban site highly impacted by anthropogenic activities, in the city of Santo André, São Paulo Metropolitan Area. Samples were analysed for elemental and organic carbon, hopanes, n-alkanes, alkenes polycyclic aromatic hydrocarbons and their oxygenated and nitrated derivatives. Among the polycyclic aromatic hydrocarbon, phenanthrene presented the highest concentration in PUF and benzo(b)fluoranthene was dominant in PM. The carcinogenic equivalents for benzo(a)pyrene were 2.1 for PAH and 1.2 for nitro-PAH. The results showed that local activities as vehicular and industrial activities affected the air quality.
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Background: Radiofrequency radiation in the frequency range 30 kHz-300 GHz was evaluated to be Group 2B, i.e. 'possibly' carcinogenic to humans, by the International Agency for Research on Cancer (IARC) at WHO in May 2011. Among the evaluated devices were mobile and cordless phones, since they emit radiofrequency electromagnetic fields (RF-EMF). In addition to the brain, another organ, the thyroid gland, also receives high exposure. The incidence of thyroid cancer is increasing in many countries, especially the papillary type that is the most radiosensitive type. Methods: We used the Swedish Cancer Register to study the incidence of thyroid cancer during 1970-2013 using joinpoint regression analysis. Results: In women, the incidence increased statistically significantly during the whole study period; average annual percentage change (AAPC) +1.19 % (95 % confidence interval (CI) +0.56, +1.83 %). Two joinpoints were detected, 1979 and 2001, with a high increase of the incidence during the last period 2001-2013 with an annual percentage change (APC) of +5.34 % (95 % CI +3.93, +6.77 %). AAPC for all men during 1970-2013 was +0.77 % (95 % CI -0.03, +1.58 %). One joinpoint was detected in 2005 with a statistically significant increase in incidence during 2005-2013; APC +7.56 % (95 % CI +3.34, +11.96 %). Based on NORDCAN data, there was a statistically significant increase in the incidence of thyroid cancer in the Nordic countries during the same time period. In both women and men a joinpoint was detected in 2006. The incidence increased during 2006-2013 in women; APC +6.16 % (95 % CI +3.94, +8.42 %) and in men; APC +6.84 % (95 % CI +3.69, +10.08 %), thus showing similar results as the Swedish Cancer Register. Analyses based on data from the Cancer Register showed that the increasing trend in Sweden was mainly caused by thyroid cancer of the papillary type. Conclusions: We postulate that the whole increase cannot be attributed to better diagnostic procedures. Increasing exposure to ionizing radiation, e.g. medical computed tomography (CT) scans, and to RF-EMF (non-ionizing radiation) should be further studied. The design of our study does not permit conclusions regarding causality.
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Background: After the Great East Japan Earthquake and Tsunami in March 2011, radioactive elements were released from the Fukushima Daiichi Nuclear Power Plant. Based on prior knowledge, concern emerged about whether an increased incidence of thyroid cancer among exposed residents would occur as a result. Methods: After the release, Fukushima Prefecture performed ultrasound thyroid screening on all residents ages ≤18 years. The first round of screening included 298,577 examinees, and a second round began in April 2014. We analyzed the prefecture results from the first and second round up to December 31, 2014, in comparison with the Japanese annual incidence and the incidence within a reference area in Fukushima Prefecture. Results: The highest incidence rate ratio, using a latency period of 4 years, was observed in the central middle district of the prefecture compared with the Japanese annual incidence (incidence rate ratio = 50; 95% confidence interval [CI] = 25, 90). The prevalence of thyroid cancer was 605 per million examinees (95% CI = 302, 1,082) and the prevalence odds ratio compared with the reference district in Fukushima Prefecture was 2.6 (95% CI = 0.99, 7.0). In the second screening round, even under the assumption that the rest of examinees were disease free, an incidence rate ratio of 12 has already been observed (95% CI = 5.1, 23). Conclusions: An excess of thyroid cancer has been detected by ultrasound among children and adolescents in Fukushima Prefecture within 4 years of the release, and is unlikely to be explained by a screening surge.This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially.
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Many studies have investigated the association between hormonal and reproductive factors and thyroid cancer risk but provided contradictory and inconclusive findings. This review was aimed at precisely estimating this association by pooling all available epidemiological studies. 25 independent studies were retrieved after a comprehensive literature search in databases of PubMed and Embase. Overall, common hormonal factors including oral contraceptive and hormone replacement therapy did not alter the risk of thyroid cancer. Older age at menopause was associated with weakly increased risk of thyroid cancer in overall analysis (RR = 1.24, 95% CI 1.00-1.53, P = 0.049); however, longer duration of breast feeding was related to moderately reduced risk of thyroid cancer, suggested by pooled analysis in all cohort studies (RR = 0.7, 95% CI 0.51-0.95, P = 0.021). The pooled RR in hospital-based case-control studies implicated that parous women were more susceptible to thyroid cancer than nulliparous women (RR = 2.30, 95% CI 1.31-4.04, P = 0.004). The present meta-analysis suggests that older age at menopause and parity are risk factors for thyroid cancer, while longer duration of breast feeding plays a protective role against this cancer. Nevertheless, more relevant epidemiological studies are warranted to investigate roles of hormonal and reproductive factors in thyroid carcinogenesis.
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Emerging studies have provided evidence on the carcinogenicity of radiofrequency radiation (RFR) from cell phones. This study aims to test the genetic susceptibility on the association between cell phone use and thyroid cancer. Population-based case-control study was conducted in Connecticut between 2010 and 2011 including 440 thyroid cancer cases and 465 population-based controls with genotyping information for 823 single nucleotide polymorphisms (SNPs) in 176 DNA genes. We used multivariate unconditional logistic regression models to estimate the genotype-environment interaction between each SNP and cell phone use and to estimate the association with cell phone use in populations according to SNP variants. Ten SNPs had P < 0.01 for interaction in all thyroid cancers. In the common homozygote groups, no association with cell phone use was observed. In the variant group (heterozygotes and rare homozygotes), cell phone use was associated with an increased risk for rs11070256 (odds ratio (OR): 2.36, 95% confidence interval (CI): 1.30-4.30), rs1695147 (OR: 2.52, 95% CI: 1.30-4.90), rs6732673 (OR: 1.59, 95% CI: 1.01-2.49), rs396746 (OR: 2.53, 95% CI: 1.13-5.65), rs12204529 (OR: 2.62, 95% CI: 1.33-5.17), and rs3800537 (OR: 2.64, 95% CI: 1.30-5.36) with thyroid cancers. In small tumors, increased risk was observed for 5 SNPs (rs1063639, rs1695147, rs11070256, rs12204529 and rs3800537), In large tumors, increased risk was observed for 3 SNPs (rs11070256, rs1695147, and rs396746). Our result suggests that genetic susceptibilities modify the associations between cell phone use and risk of thyroid cancer. The findings provide more evidence for RFR carcinogenic group classification.
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Purpose: This study aims to investigate the association between cell phone use and thyroid cancer. Methods: A population-based case-control study was conducted in Connecticut between 2010 and 2011 including 462 histologically confirmed thyroid cancer cases and 498 population-based controls. Multivariate unconditional logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (95% CIs) for associations between cell phone use and thyroid cancer. Results: Cell phone use was not associated with thyroid cancer (OR: 1.05, 95% CI: 0.74-1.48). A suggestive increase in risk of thyroid microcarcinoma (tumor size ≤10 mm) was observed for long-term and more frequent users. Compared with cell phone nonusers, several groups had nonstatistically significantly increased risk of thyroid microcarcinoma: individuals who had used a cell phone >15 years (OR: 1.29, 95% CI: 0.83-2.00), who had used a cell phone >2 hours per day (OR: 1.40, 95% CI: 0.83-2.35), who had the most cumulative use hours (OR: 1.58, 95% CI: 0.98-2.54), and who had the most cumulative calls (OR: 1.20, 95% CI: 0.78-1.84). Conclusions: This study found no significant association between cell phone use and thyroid cancer. A suggestive elevated risk of thyroid microcarcinoma associated with long-term and more frequent uses warrants further investigation.
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There is an increasing incidence of well-differentiated thyroid cancer worldwide. Much of the increase is secondary to increased detection of small, low-risk tumors, with questionable clinical significance. This review addresses the factors that contribute to the increasing incidence and considers environmental, and patient-based and clinician-led influences. Articles addressing the causes of the increased incidence were critically reviewed. A complex interplay of environmental, medical, and social pressures has resulted in increased awareness of the thyroid disease risk, increased screening of thyroid cancers, and increased diagnosis of thyroid cancers. Although there is evidence to suggest that the true disease incidence may be changing slightly, most of the increase is related to factors that promote early diagnosis of low-risk lesions, which is resulting in a significant phenomenon of overdiagnosis. An improved understanding of these pressures at a global level will enable healthcare policymakers to react appropriately to this challenge in the future.
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