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<blockquote data-quote="CherryAA" data-source="post: 1554540" data-attributes="member: 327005"><p>To arrive at the " normal range" - I took the normal range of blood sugars as appearing on my on blood sugar tests, and I took the " normal range" of triglycides from the same source and I applied the formula to those two sets of minimum and maximum figures. </p><p></p><p>The website itself just identified " cut off points for likelihood of diabetes - I wanted to see those cut off points in the context of potentially expected numbers. </p><p></p><p>This seemed to me to be reflecting the" normal range" of both of these things in a "Normal" population. We know that the normal population is now moving towards insulin resistance - given that the "Normal range " of fasting insulin is shown as 2-25 whereas those who have researched that suggest figure of 2-6 are optimal. </p><p>Similarly there are many commentators suggesting that triglycerides are at the "optimum " level when they are at their lowest as opposed to " within range" . </p><p></p><p>Thus it seems entirely reasonable to me that the low end of this particular range would be applying the formula to the two low numbers, and the high end of the range would be applying to the two high numbers. </p><p></p><p>It also seemed reasonable that the high number would be higher than the point at which the likelihood of becoming diabetic had been identified because we know insulin resistance comes into play well before diagnosis is actually identified.. Thus it seemed to me that the value of this particular calculation could be that it does indeed identify the disease earlier than actually waiting for Hab1C to increase . Bearing in mind that none of Hba1C, fasting insulin, OGTT or C-Peptide appears as part of the standard profile both fasting glucose and triglycerides do and as such there is an abundance of data on them over many years then it seemed to me to be worth exploring this particular avenue. </p><p></p><p>In my own case - the results are pretty clear that it is -That might be a total coincidence - (Though [USER=71953]@bluetit[/USER] figures tell the same story ) or alternatively that it MAY BE a mechanism for example to compare what happens when a person diagnosed with diabetes then adopts a Vegetarian, Paleo, Mediteranneam, VLC, or LCHF diet where that individual can see his results over many years based on data he already has.</p></blockquote><p></p>
[QUOTE="CherryAA, post: 1554540, member: 327005"] To arrive at the " normal range" - I took the normal range of blood sugars as appearing on my on blood sugar tests, and I took the " normal range" of triglycides from the same source and I applied the formula to those two sets of minimum and maximum figures. The website itself just identified " cut off points for likelihood of diabetes - I wanted to see those cut off points in the context of potentially expected numbers. This seemed to me to be reflecting the" normal range" of both of these things in a "Normal" population. We know that the normal population is now moving towards insulin resistance - given that the "Normal range " of fasting insulin is shown as 2-25 whereas those who have researched that suggest figure of 2-6 are optimal. Similarly there are many commentators suggesting that triglycerides are at the "optimum " level when they are at their lowest as opposed to " within range" . Thus it seems entirely reasonable to me that the low end of this particular range would be applying the formula to the two low numbers, and the high end of the range would be applying to the two high numbers. It also seemed reasonable that the high number would be higher than the point at which the likelihood of becoming diabetic had been identified because we know insulin resistance comes into play well before diagnosis is actually identified.. Thus it seemed to me that the value of this particular calculation could be that it does indeed identify the disease earlier than actually waiting for Hab1C to increase . Bearing in mind that none of Hba1C, fasting insulin, OGTT or C-Peptide appears as part of the standard profile both fasting glucose and triglycerides do and as such there is an abundance of data on them over many years then it seemed to me to be worth exploring this particular avenue. In my own case - the results are pretty clear that it is -That might be a total coincidence - (Though [USER=71953]@bluetit[/USER] figures tell the same story ) or alternatively that it MAY BE a mechanism for example to compare what happens when a person diagnosed with diabetes then adopts a Vegetarian, Paleo, Mediteranneam, VLC, or LCHF diet where that individual can see his results over many years based on data he already has. [/QUOTE]
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