Don’t
keep still – cutting your cancer risk – a brief paper explaining what is far more than just an exercise issue.
By Dr Chris Barnes,
Manager Bangor Scientific and Educational Consultants, June
2017, e-mail, manager@bsec-wales.co.uk
Introduction
It has long been established that exercise
reduces the risk of heart disease (http://circ.ahajournals.org/content/107/24/3109.short)
and type 2 diabetes https://link.springer.com/article/10.1007/BF00400196
More recently it has been
established that a sedentary life style increases the risk of certain cancers (Schmidt
et al 2014) and that the converse is true.
However, when we examine
the in detail time, place and situation
with regard to sedentary risk, we find that some situations such as watching
television, for example, are more risky than others.
The other place where we
are relatively still for long periods , other than for making involuntary movements is in our beds. It has recently been established that in
adults sleeping too long i.e. greater than about 8.5 hours for adults is as much associated with mortality as is
sleeping too short a time i.e. less than
about 6 hours.
The purpose of this paper
is twofold. Firstly to explore in
terms of mortality or especially cancer aetiology if there are links between being sedentary in the wakeful state
and spending too long in bed. Further
and secondly to establish if the place where exercise is taken is
significant. I will show that moving
around reduces cancer risk but for far more than just exercise reasons
alone.
Being
sedentary and Cancer Risk a short review
Sturgeon et al 2017 have showed that Physical activity
induced protection against breast cancer risk associated with delayed parity
mainly as a result of changes in breast structure and reduced inflammation. Lope at al 2016 showed:
Physical activity protects against pre and
postmenopausal breast cancer.
•
Physical activity protects against all
pathologic breast cancer subtypes.
•
Women who comply with international
recommendations have lower breast cancer risk.
Borch et al 2017 showed in
a nationally representative cohort that 21.9% of endometrial cancers could potentially
be avoided if physical activity levels were
increased.
Dethlefsen et al 2017
showed cumulative epidemiological evidence shows that regular exercise lowers
the risk of developing breast cancer and decreases the risk of disease
recurrence. Interestingly they state that the causality underlying this
relation has not been fully established.
Colon cancer and breast
cancer are among the most commonly diagnosed cancers in the United States, and
exercise appears to significantly reduce the risk of both. Physical activity
has been linked with a 40 to 50 percent reduction in the risk of developing
colon cancer and a 30 to 40 percent reduction in the risk developing breast
cancer.2 Risk of other cancers may be reduced by exercise as well, but studies
of other cancers have produced less consistent results, see Kari Bohlke, ScD (2006).tv viewing
Johnsson et al (2016) found
that occupational sedentariness was associated with increased breast cancer
risk, especially in women younger than 55 years. This may be a modifiable risk
factor by planning breaks during the working day, adjusted HR 1.20; 95%
CI 1.05, 1.37.
Cannioto et al (2017)
found using multivariable logistic
regression models, we observed significant positive associations between lifetime
recreational physical inactivity and renal cancer and bladder cancer risk: odds
ratio = 1.77 (95% CI: 1.10–2.85) and odds ratio = 1.73 (95% CI: 1.13–2.63),
respectively. Similar associations also persisted among individuals who were
not obese for both renal and bladder cancer: odds ratio = 1.75 (95% CI:
1.03–2.98) and odds ratio = 1.70 (95% CI: 1.08–2.69), respectively.
Mendelson et al 2017 present robust associations of BMI with
differential DNA methylation at numerous loci in blood cells. BMI-related DNA
methylation and gene expression provide mechanistic insights into the
relationship between DNA methylation, obesity, and adiposity-related diseases. Gastric cancer ( Pinni et al), Liver Cancer,
Hlady et al (2017) and Melanoma (Shen et al) 2017 have all been shown to be
associated with global DNA
methylation. Mokkarum et al (2017) concluded that exposure to RF radiation
emitted by GSM mobile phones can lead to epigenetic detrimental changes in
ERα promoter methylation pattern.
Manser et al (2017) conclude that ELF-MF exposure may influence the robustness
of histone modification and DNA methylation patterning in the course of the
global chromatin reorganization associated with neutrophilic differentiation.
Miousse (2017) reiterates Ionizing radiation (IR) is a
ubiquitous environmental stressor with genotoxic and epigenotoxic capabilities. The more we are sedentary the more chance we
have been exposed to radon concentrated in our homes or by electric fields from monitors and TV sets for example.
I have showed recently
the dangers of TV viewing and separated out the risk factors (ref). Grace
(2017) essentially support my findings and show that TV time was associated with increased risk of
inflammatory-related mortality. This is consistent with the hypothesis that
high TV viewing may be associated with a chronic inflammatory state. In Brazil Turi et al (2017) the higher TV
viewing time was associated with a 44.7% increase in all-cause mortality
(HR=1.447 [1.019-2.055]), independently of other potential confounders. In
conclusion, the findings from this cohort study identified increased risk of
mortality among adults with higher TV viewing time, independently of PA and
other variables.
Contrary to findings from
previous research (based on self-reported physical activity), cancer survivors
engaged in more (breast) or equivalent (colon) MVPA compared with adults
without cancer. Differences between colon cancer survivors and adults without
cancer for light activity and sedentary behaviour highlight the importance of
considering the full activity spectrum in the context of cancer control, see
Shi et al (2016).
Conclusions
in sedentary risks.
1.
Sedentary lifestyle leads to obesity
hence increased global DNA methylation, inflammation and
cancer. https://www.ncbi.nlm.nih.gov/pubmed/24935969
2.
However, in the modern environment there are
confounding factors.
3.
For instance, it is more risky to be
sedentary and a TV viewer, due to concentration of radon (ref) , atmospheric
pollutants (ref) and light at night exposure.
http://drchrisbarnes.co.uk/TVCAN.htm
4.
It
is more risky to be sedentary in radio frequency fields of certain frequencies
(http://drchrisbarnes.co.uk/Freqsol01.htm)
and at certain distances from transmitting antennas (http://drchrisbarnes.co.uk/More%20egg%20than%20chicken.html).
5.
Such
environmental changes over the past 5-6 decades probably help explain the
explosion in cancer rates, including melanoma, which apart from those in the
minority with a certain phenotype and extremely fair non-tanning skin is not predominantly an issue to do with the
sun.
6.
Exercise, particularly green exercise is
extremely good for us but here I have
shown this is not simply due to a matter
of weight loss reducing risk. It also removes us from sources of
internal pollution and disrupts the possibility of time and position coherent wave interaction in ubiquitous ever
present RF fields.
7.
Outdoor exercise also provides sun
exposure / vitamin D3 which further helps reduces most cancer risks.
Sleep
time and Cancer Risks a short review.
Devore et al (2017 )
produced the following results and conclusions.
Results: Higher urinary
melatonin levels were suggestively associated with a lower overall risk of
breast cancer (multivariable-adjusted RR = 0.78; 95% CI = 0.61–0.99, comparing
quartile 4 vs. quartile 1; Ptrend = 0.08); this association was similar for
invasive vs. in situ tumors (Pheterogeneity = 0.12). There was no evidence that
associations differed according to MT1R status of the tumor (e.g.,
Pheterogeneity for overall breast cancer = 0.88).
Conclusions: Higher urinary
melatonin levels were associated with reduced breast cancer risk in this cohort
of postmenopausal women, and the association was not modified by MT1R subtype.
Wu ET AL (2008) showed
that Melatonin levels were 42% higher in
those with 9+ versus those with ≤6 h of sleep. Conclusion: Sleep duration
may influence breast cancer risk, possibly via its effect on melatonin
levels. Blask 2008 concluded that the
mutual reinforcement of interacting circadian rhythms of melatonin production,
the sleep/wake cycle and immune function may indicate a new role for
undisturbed, high quality sleep, and perhaps even more importantly,
uninterrupted darkness, as a previously unappreciated endogenous mechanism of
cancer prevention. The data of Tamarkin (1982) suggest data suggest that low
nocturnal melatonin concentrations may indicate the presence of oestrogen
receptor positive breast cancer and could conceivably have etiologic
significance.
Theoretically then one
should expect the longer the sleep duration the less the odds of cancer,
particularly hormone related cancers.
In practice and especially in the majority of later studies a somewhat
unexpected result is found wherein there is a J or U shaped relationship
between sleep time and cancer risk, general mortality risk, type II diabetes
risk and the like.
Lui et al 2016 considered sleep duration and risk of
all-cause mortality using a flexible, non-linear, meta-regression of 40 prospective
cohort studies enrolling an enormous 2,200,425
participants with 271,507 deaths. They deduced that approximately
27–37% of the general population experience prolonged sleep duration and 12–16%
report shortened sleep duration. However, prolonged or shortened sleep duration
may be associated with serious health problems.
Lowest risk was associated with 8h sleep increasing risk was reported
for less sleep down to 4h and significantly increased risk for extended sleep
up to 12h. Their conclusions are
essentially similar to the much earlier work of Kripke et al (1979) where prospective epidemiologic
data of the American Cancer Society disclosed that reported usual sleep
durations among groups who complained of insomnia and sleeping pill use
"often" overlapped with those of groups who had no complaints.
Reports of insomnia were not consistently associated with increased mortality
when several factors were controlled; however, men who reported usually
sleeping less than four hours were 2.80 times as likely to have died within six
years as men who reported 7.0 to 7.9 hours of sleep. The ratio for women was
1.4.8. Men and women who reported sleeping ten hours or more had about 1.8
times the mortality of those who reported 7.0 to 7.9 hours of sleep. Those who
reported using sleeping pills "often" had 1.5 times the mortality of
those who "never" used sleeping pills.
Wong et al (2017) showed
that compared with sleeping 8 hours/day on average, ≤7 hours/day was
associated with significantly increased HRs ranging from 1.39 to 1.58 in ages
≥41 years in men, and 1.29 to 2.47 in ages ≥51 years in women.
Furthermore, sleeping ≥10 hours/day was associated with significantly
increased HRs ranging from 2.44 to 3.27 in ages ≥41 year in men, and 1.31
to 2.45 in ages ≤60 years in women. Greater
and less than 8 hours/day of sleep in various age-periods may be
associated with elevated risk of lung cancer mortality in Xuanwei, China.
Cancer Prev Res; 1–9.
Yaggi et al (2006) showed
that Men reporting short sleep duration (≤5 and 6 h of sleep per night)
were twice as likely to develop diabetes, and men reporting long sleep duration
(>8 h of sleep per night) were more than three times as likely to develop
diabetes over the period of follow-up. Elevated risks remained essentially
unchanged after adjustment for age, hypertension, smoking status, self-rated
health status, education, and waist circumference (RR 1.95 [95% CI 0.95–4.01]
for ≤5 h and 3.12 [1.53–6.37] for >8 h). RRs were altered considerably
for the two extreme sleep groups when adjusted for testosterone (1.51
[0.71–3.19] for ≤5 h and 2.81 [1.34–5.90] for >8 h), suggesting that
the effects of sleep on diabetes could be mediated via changes in endogenous
testosterone levels.
Patel et al ( ) has
suggested depression and low socioeconomic status are strong candidates for
producing the statistical association between long sleep and mortality, either
as confounders or as causal intermediates. Their conclusion is also that future causal
research on the effects of long sleep should include a detailed assessment of
psychiatric disease and socioeconomic status.
Both factors have also been associated with obesity/large BMI and to reiterate, Mendelson et al 2017 present robust associations of BMI with
differential DNA methylation at numerous loci in blood cells. And of course global DNA methylation is
also associated with ageing and cancer.
We can this begin to see
the link between cancer and sedentary life style and cancer and excess
sleep. All the more reason not to keep
still!
The question arises,
however, could there be another confounding factor related to increased cancer
risk with time spent in bed? Hallberg
and Johansson (2010) in their paper ‘Sleep
on the right side—Get cancer on the left?’ explain the prevalence of left sided
melanoma in parts of the body never exposed to the sun and explain the
prevalence of left sided breast cancer in both men and women in terms of the
effects of 90MHz RF fields from FM broadcasting and their interaction with mattress
springs and the body.
Conclusions
in sleep time effects
1. Cancer risk increases at below 7-8 h
sleep due to low melatonin.
2. Cancer risk increases over 8 h sleep for
multiple reasons including
inactivity/high BMI and RF field exposure.
Further
discussion: move around to cut cancer risk the connection with RF FIELDS and
quantum biology.
Sedentary occupations and
excessive sleep both increase cancer risk due inter alia to bio –soliton
interaction with RF fields. Such
interaction can only maximise in an adverse manner over sufficient coherence
time and at certain frequencies and modulation frequencies. Information
is carried by the modulation in a radio wave and according to my previous calculations I would expect energy dumping into biological
tissue i.e. humans in houses at key distances from transmitters according to
the electromagnetic Aharonov-Bohm effect
(Puthoff 1998 and Fang et al 2013). Thus
it is crucial not to stay at home all day if one lives at such a key distance. Even in today’s equal society there are still marginally more stay at
home women. Guo et al (2004) calculate
the lifetime cancer risk to be maximum for stay at home women/housewives on the
basis of VOC exposure but I would argue that RF radiation is a strongly confounding
factor. Although specifically for lung cancer, every 10 μg/m3 increase in
PM1 is associated with 45 % increased risk,
see Mu et al (2013).
In quantum biologically,
interaction frequency and energy matching and space-time coherence is
critical. This explains why for example
occasional exposure to very high level
RF fields do not have the same biological effect as longer term exposure to
weak time varying fields. For instance
the body/brain is tuned to the tiny
energy fields associated with Schumann resonance. I have discussed exact
interaction frequencies elsewhere and a detailed understanding of these is
not required here.
Overall the key to
staying safer and minimising risk is
movement, having multiple work and sleep locations and lots of green
exercise. Various antioxidants have been
reckoned to reduce the effects of RF
radiation but the only very common
compounds known to reduce global DNA methylation are vitamin C and Turmeric
both of which I recommend.
Final
conclusions
Exercise, especially
green or outdoor (walking, running or cycling) exercise, has been shown by others to be the
finest way to cut one’s cancer risk but shown
to be confounded here are some quite unexpected reasons for its efficacy. It removes us from household radon, VOC’S and
coherent RF fields. All of which we are exposed to while sitting sedentary or spending too
much time in bed.