“I was on medicine for 15 years and it didn’t do any good and the situation was getting worse. But, the 1st 2 weeks, my glucose from 130 went down to 98.” read more
In fact, many if not all of the diabetic medications carry the risk of serious side effect, some causing weight gain and ultimately perpetuating the disease long term. In the end, a drug for every disease or symptom is commonly only masking the problem and not treating root causes. In addition, having high levels of insulin floating around in your body can be very dangerous to your health! You see more than likely it’s not that your body is lacking the hormone insulin. The problem for the majority of Type 2 Diabetics is that insulin resistance has set in. This basically means that your body has lost the ability to utilize insulin appropriately.
What sense then does it make to continue to bombard your body with something it no longer recognizes and can no longer process? Especially when that substance (insulin) may be harmful to your health and may cause your disease to progress. Did you know that insulin at high levels can shorten your life expectancy, can cause you to gain weight at an alarming rate, can cause more insulin resistance, therefore, perpetuating your diabetes, can cause your blood pressure to increase, can cause cardiovascular disease and can increase your risk of developing certain forms of cancer? Well, it can do all of the above. Diabetes is a nasty disease that ruins the lives of millions of people. You can lose a leg … you can lose an arm … you can lose your “zeal” for life … and in serious cases, you can even lose your life.
But help is available. Our clinical approach to supporting type 2 diabetics is quite different – AND OFTEN MUCH MORE EFFECTIVE. You see, where most health care providers test for blood sugar levels and A1C levels and not much else, We have designed an integrative testing approach that goes into much more depth. We then use your detailed findings to tailor and customize a plan for each patient based on his or her own underlying causative factors