NoCrbs4Me
Well-Known Member
- Messages
- 3,700
- Location
- The Rocky Mountain Foothills, Canada
- Type of diabetes
- I reversed my Type 2
- Treatment type
- Other
- Dislikes
- Vegetables
To be fair, Dr. Ede provides references to the published papers that she got the information from (i.e. she didn't invent this test or any of the other tests she lists). Also, she does not claim these are tests for diabetes, but rather insulin resistance..
Psychiatrist - Georgia Ede MD
https://www.psychologytoday.com/experts/georgia-ede-md
This Insulin Resistance ( IR ) Test is not recommended by the Diabetes Sciences
Worldwide as by such as the NIH.Gov the worlds medical reference !
http://www.diagnosisdiet.com/wp-content/uploads/2017/06/insulin-resistance-tests-rev-3-15-17.pdf
( It is just as a self-made interpretation matter by some MD )
Here The Facts From NIH.Gov
https://www.niddk.nih.gov/health-in...iabetes/prediabetes-insulin-resistance#tested
Any OGTT Test combined with Peptide-C Test Is A Reference, the Georgia Test Not !!
Please do not mislead the forum.
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I confess to being a bit confused.
I now have a number of 8.37.
Now I have a number - what is the range of numbers I am looking for?
I've been puzzling at this for a while - i.e. when did I become insulin resistant and why did no-one test me for it.
It turns out they do - the figures are available just that for some godforsaken reason they don't actually calculate it from the data available and they don't tell us about it.
There is another formula to calculate insulin resistance .
The formula is : log normal of (your fasting blood glucose x your triglycerides ) *2
eg sample calc
LOW
MG/DL
Fasting Blood Glucose 68.4
Fasting Trigs 39.88
=(FBG x FT)/2 1,364
LN function - Log Normal 7.22
The log normal function is available in xl or I assume any phone system with some maths.
Glucose converter
http://unitslab.com/node/1
TRIGS converter
http://unitslab.com/node/53
There is then a "normal range " which takes on the characteristics of the normal population range 7.22 to 9.3
and a cut off point above which you either already are, or are likely to become diabetic
I have my fasting blood glucose and my triglycerides numbers going back to 1995.
Sure enough calculated this way it shows I became diabetic in 2014 and it should have been spotted then - which I already knew.
It also shows the steady track back to normality since adopting LCHF. see the attached chart which covers 1995- 2017 for me .
So it seems that if you still have those old blood tests, you can see for yourself when it all started to go wrong and how long you were insulin resistant before diagnosis and indeed how insulin resistant you are now.
It also means that it is pretty easy to find out if anyone else is either diabetic or likely to become so, just based on two bits of data in a normal health check.
http://www.diagnosisdiet.com/wp-content/uploads/2017/06/insulin-resistance-tests-rev-3-15-17.pdf
WHO KNEW !!!
To be fair, Dr. Ede provides references to the published papers that she got the information from (i.e. she didn't invent this test or any of the other tests she lists). Also, she does not claim these are tests for diabetes, but rather insulin resistance.
What did the normal range of 7.22 - 9.3 in your original post mean @CherryAA ? As has been pointed out the website seems to give a different figure.
I am a little surprised that you are taking such exception to this even being explored - if it has no merit, the results of those who do take a look will show no patterns at all and the concept can easily be laid to rest. I have no particular investment if its right or not- I simply reported my own figures..
We all know the meaning of “Insulin Resistance” right ?
How the T2Ds will jump on this we can also expect !
Did not recommending as Diabetes Test – Sorry, LOL
She listed some others, she did not invent anything
and I have not the time to contact each of the listed
and also to ask them, if they gave permission to be
listed for that purpose, therefore again just this ?
I would trust a Dr. In Endocrinology - Diabetology, but sorry not . . . .
.
I am a little surprised that you are taking such exception to this even being explored - if it has no merit, the results of those who do take a look will show no patterns at all and the concept can easily be laid to rest. I have no particular investment if its right or not- I simply reported my own figures.
Its the lack of exploration of alternative explanations that led to the low fat diet being adopted for years.....
Having met a doctor specialising in diabetes who did not know the first thing about diet :
Having a doctor myself, for whom my decision to adopt a low carb diet has come as a complete and continuing surprise;
Having a set of food guidelines which have been recommended/ approved by doctors for many years - which include a focus on carbs not fats: ,
Having seen the turn around in health that comes from adopting the change in diet -
At this point I would not actually " Trust" that anyone has the absolute answers. I will instead listen to what they all have to say and make my own mind up.
Very interesting. I had a really good read of all the posts and links - including the links which were less positive. Not trying to be controversial but thinking out loud it didn't really seem to make complete sense, unless tri's are the biggest factor in IR.
Plonking it all in a spreadsheet I ran a macro to try different values going up and down to see what comes out. And maybe scientifically some of these values are not possible but - if you are male, have tri's of .87 then they could have a FBG of 8.5 (which would be diabetic) yet not have IR. Unless I have screwed up all the maths.
It does work much better if you have higher tri's - then you need to get pretty low BG to not have IR.
Your graphs do tell an interesting story. It does look like when you model the science on your figures it does match and I am a big fan of illustrating through a real world example. So perhaps it is just really unlikely anyone would have really low tri's and high FBG.
In any case. All really interesting and thank you for taking the time to post and explain and illustrate.
As a note - I didn't feel misled - I felt like you posted some information I could consume or ignore.
.
You don’t know any Prof. in Endocrinology – Diabetology you could by
email ask Your Questions ?
Additionally I gave you the Idea where NIH to look for reliable info only !
.
.I am not interested in technical explanations of things from scientists or professors.
I have read dozens of explanations that saturated fats in food cause fats in the blood stream and ditto for cholesterol - all presumably emanating at some point from someone purporting to be providing reliable data which somehow or other must have ended up in the NIH database, otherwise lower carbs would already have been adopted as standard world wide.
Large scale testing inevitably involves making some basic assumptions which may or may not invalidate the tests at an N=1 level .
As an example Rapilose the OGTT solution used by doctors has a set of instructions
1) ensure that the patient has been taking a "normal" diet for three days - what is normal ?
2) fast for " at least 9 hours" - what about if one did it after 24 hours
3) the test takes no notice of the body size of the participant.
I am an accountant, I specialise in considering the bigger picture based on small samples rather than the other way round.
I am interested in real world patterns and N=1 data and and in particular my own n=1 data that I actually possess and what it might be telling me -
My own choice to move to LCHF was based on 1 single individual's results in a bigger study. She was the only one who had implemented a very low carb diet. I made the leap of faith that despite it not being identified as such, she was also the person in the tables which followed who had reduced Hba1C the most.
https://nutritionandmetabolism.biomedcentral.com/articles/10.1186/1743-7075-6-21
Looking at those tables again I would also be prepare to take anther leap of faith that whilst participants had improved Hab1C as result of their lower carb diets SHE is also probably at the low end of the range for the triglycerides. ( which did improve on average as well)
Having made that leap of faith when I super-impose my own figures on those tables I am also at the same extreme beneficial result for the items they chart.
Unfortunately as is the way with nearly all of these studies , the trigs are being ignored as a data set, with the focus instead being on HDL/ LDL .
If others check and find similar or opposing patterns at the n=1 level then that is useful to me
To be informed about tests which I do not have and which I can no longer obtain that would be relevant to me if only I had had them done at any stage in the last 20 years is not of any practical benefit to me at this point as I determine how my own body reacts to the decision I have taken in the past and am about to take in the future.
.
We all know the meaning of “Insulin Resistance”, right ?
How the T2Ds will jump on this we can also expect !
Did not recommending as Diabetes Test – Sorry, LOL
She listed some others, she did not invent anything
and I have not the time to contact each of the listed
and also to ask them, if they gave permission to be
listed for that purpose, therefore again just this ?
I would trust any Dr. In Endocrinology - Diabetology, but sorry not . . . .
By the NIH.Gov independent of any references listenings, it does not
exist any such Test for any kind of purposes not even to Test Aliens !!
.
.
I for a favour told you NIH.Gov and here you have a Link for Low Carb
it may will blow your mind : https://www.google.com/search?q=NIH...x-b&gws_rd=cr&dcr=0&ei=CuOxWYj6GNi0jwOD6L-QAQ
.
.
I for a favour told you NIH.Gov and here you have a Link for Low Carb
it may will blow your mind : https://www.google.com/search?q=NIH...x-b&gws_rd=cr&dcr=0&ei=CuOxWYj6GNi0jwOD6L-QAQ
.
I'll add mine to the mix as I seem to be something of an outlier
2009 (no diagnosis of anything) FBG 5.7/Trigs .82 gives me a number of 8.224 so apparently higher end but not yet IR
2014 (diagnosed pre-d) FBG 6.3/Trigs .45 gives me a number of 7.72 so lower than when not considered pre-d
2017 (low carb for 3 years) FBG 4.8/Trigs .36 gives me a number 7.23 so lower still
Could be because I'm pre-d & not yet type 2 I guess. Could be that my blood sugar issues are caused by something other than IR. Could be that I have genetically low trigs.
Can you make anything of it @CherryAA ?
(1) Apart from first diagnosis none of my blood tests have been fasting. So I don't have FBG figures taken at the same time as my trigs
I too am sceptical of this test. Nice Try, but I think it is flawed.I am sceptical about this calculation (admittedly I am sceptical about most things). It seems very convenient that it is BG x Trigs without any weighting factor so they must have equal significance. If you were tending towards diabetes then your BG might increase from say 5 to 7 but the normal range of Trigs is 0.45 to 1.82 ( a factor of 4) so the calculation is largely affected by Trigs.
If for example your Trigs were 1.0 then you could have to have a BG of 13.73 and your IR would still be normal according to this calculation.
I too am sceptical of this test. Nice Try, but I think it is flawed.
Firstly, taking a statin will artificially reduce LDL. LDL is not actually measured in the normal blood test, but it is bormally derived from the other lipid measurements, using rhe Friedwald Formula. It is an approximation, and is skewed by the presence of triglycerides. But Lowering LDL is not associated with a corresponding drop in IR in T2D. To get true LDL needs a full assay test in the lab, which is expensive, and normally only done to support research projects.
Are trigs an indication of the depth of IR? Trigs are the unmentionable bits left over after VLDL and LDL and HDL are deducted from TC, and generally comprise sLDL particles that cannot be hoovered up by HDL for recycling in the liver, or it is damaged LDL that HDL cannot recognise as ' not wanted'. Damage from smoking, free acid radicals, inflammation and disease. radiation etc all add to creating trigs which are in effect detritus. So there are external influences other than diet at play there. The formula you used is as pointed out, weighted by the trig value, so will be sensitive to other influences that you do not control and which may vary with time. So is it a useful test?
It may be of use simply on an (n=1) basis for getting a very crude handle on whether IR is being changed by some lifestyle changes, but will be a very personal thing and not used (as also pointed out) as a general purpose test for comparing the population. Thus is is not a 'recognised' technique for evaluating IR, and very difficult to work out what normal is, and also to say for certain what a change up or down means in connection with IR,
I believe that a home based OGTT style of test is more useful and there is another formula based on the timing and amplitude of the glucose spike following the necking of the standard glucose drink. This is sometimes used in lab research projects, but to be meaningful it still needs an insulin clamp test to establish the baseline insulin levels, and this is not yet available as a home procedure as far as I am aware, So again a home evaluation is an individual-specific check, but could be related to a national profile. This method is directly measuring a definite response to glucose only intake so is not affected by fat or protein delaying the action. Purely response to glucose. However, different labs and researchers have used different formulae, and there is no gold standard procedure established yet.
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