Main Points:
It seems few people these days, including doctors, are aware that electromagnetic fields (EMFs) are intimately connected to nearly all health conditions. The term used for artificial or man-made EMFs is non-native EMF, or simply nnEMF. In this article, we will only review a few studies that specifically relate to electric fields and increased blood sugar in diabetics and prediabetics to get you to understand this point. However, there are thousands of studies showing how nnEMF either creates or worsens most health conditions. See our other articles for more on these.
Study 1
The following study is all the way from 2008. Titled “Dirty electricity elevates blood sugar among electrically sensitive diabetics and may explain brittle diabetes,” published in Electromagnetic Biology and Medicine, this study found that blood glucose in type 1 and type 2 diabetics responded directly to the amount of dirty electricity (DE) in the environment. In an electromagnetically clean environment, type 1 diabetics required less insulin and type 2 diabetics had lower plasma glucose.
As an example, the study noted “Exercise on a treadmill, which produces dirty electricity, increases plasma glucose.” If you’re not aware, most people with diabetes are told by their doctors to exercise to lower their blood sugar. How many are following this advice and getting worse?
The study goes further and states “These findings may explain why brittle diabetics have difficulty regulating blood sugar.” Brittle diabetes is the term used to describe those that have wild fluctuations in blood sugar. It can swing from very high to very low.
Lastly, the study suggests reducing exposure to electromagnetic pollution by avoidance or with specially designed GS (Graham Stetzer) filters to enable diabetics to better regulate blood sugar with less medication.
Study 2
The next article we’ll review is from 2014 titled “Evidence that dirty electricity is causing the worldwide epidemics of obesity and diabetes,” published in the same journal. It follows the concept we just covered on how blood sugar in diabetics increases with DE. It states that diabetes and obesity had their origins with Thomas Edison’s development of distributed electricity in New York City in 1882. According to the article, Edison’s original direct current (DC) generators had serious commutator brush arcing, which is a major source DE.
In addition, diesel generator sets are a major source of DE. They are used almost exclusively to electrify small islands and places unreachable by an electric grid. The article points out that diabetes prevalence, fasting plasma glucose, and obesity are highest on small islands and other places electrified by generator sets and lowest in places with low levels of electrification, such as sub-Saharan Africa and east and Southwest Asia.
Of note, and not likely to be a coincidence, Thomas Edison died of complications of diabetes, which had troubled his health for many years.
Study 3
The last article we’ll review is the oldest, from 2006, titled “Electromagnetic hypersensitivity: biological effects of dirty electricity with emphasis on diabetes and multiple sclerosis.” This article reviews several case studies and anecdotal reports. The main points of this article are:
Clarifying EMF, Electric Fields, and DE
Electromagnetic fields (EMFs) include the entire EMF spectrum such as electricity, radio waves, microwaves, infrared and ultraviolet light we can’t see, and the color spectrum we can see.
Electric fields are only the electro- part of EMF. This includes the electricity in your home that oscillates at 60 Hz (cycles per second). Electric fields extend 6-8 feet from all electrical wiring, all wires plugged into outlets, and the plugged-in devices themselves.
Dirty electricity (DE) occurs from electrical wiring when there are spikes or surges in electricity, which roughly ranges from 800 Hz to 880 MHz. Since this flow of electricity is not steady or “clean”, they call it dirty electricity.
According to EMF experts, DE is a small percentage of the electric field. The electric field itself is far worse for your health. This is why they focus on addressing the electric field. In addition, if you take care of the electric field you take care of any DE that is present as well. Considering that the above studies only focused on DE, and DE is a small part of the electric field, you can see how the effects are much greater than estimated.
The Solution
To remove exposure to electric fields and DE that raise blood sugar levels, installing a cut-off switch and power quality filter near the breaker box is often an effective solution. However, since each home environment is unique, there can be other approaches.
With our patients, we usually recommend starting by testing their home environment. This can be done using equipment we suggest they purchase, by having an expert perform an in-home assessment, or both. This ensures the specific EMF conditions affecting their health are properly identified and addressed.
Summary
The evidence linking electric fields and DE to elevated blood sugar—and a range of other health conditions—makes it clear that EMFs are a critical, yet often overlooked, factor in chronic illness. For diabetics and prediabetics, reducing exposure to these fields can significantly improve blood sugar regulation and reduce the need for medication. While DE is only a fraction of the overall electric field, addressing the electric field as a whole is far more impactful.
Installing a cut-off switch and power quality filter near the breaker box is a common and effective solution. However, since every home environment is different, personalized testing—either with equipment we recommend or through a qualified expert—is key to identifying and eliminating harmful EMFs. By creating an electromagnetically clean living space, individuals can take an important step toward better health and more stable blood sugar levels.
Until next time, remember, nature heals.
References:
1. https://pubmed.ncbi.nlm.nih.gov/18568931/
2. https://pubmed.ncbi.nlm.nih.gov/23781992/
3. https://pubmed.ncbi.nlm.nih.gov/17178585/
We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.