My best advice would be for you to immediately buy and read Protein Power Lifeplan by Dr. Eades.
EDIT OOPS, after I wrote this I noticed PP as your plan and checked. So I see you have both books. GREAT!! GOOD for you!!. So now you have the biblio. which you would not have otherwise. I think it's size alone will "knock the socks off" of any but the most callous doctor. Point out that the journals are the top tier ones, like JAMA, Lancet, and the New England Journal of Medicine.
PPLP has over 400 scientific research articles as its basis. It is the best book to read to understand the whys and science behind low carb eating. But it is written for the layman so you should have no problem reading it. [EDIT but you should know that!
] Here are two places you can find the bibliography for the book.
http://www.intergate.com/~berts8nfo..._PubMed_IDs.txt
This is just a list and will be easier to print, which you should do and take with the book when you visit the Doctor. Here is a place where you can look for references for a particular chapter a little easier since it is broken up into several posts on the board it is located at.
http://www.intergate.com/~berts8nfo..._PubMed_IDs.txt
They are at the bottom of the page and on the next page.
What are his triglycerides, HDL and LDL? I know that for me LC has dropped my tri’s and raised my HDL. The LDL just does it’s thing and seems to have no rhyme or reason to it’s ups and downs. Here is a link to my lipid graph to show you how LC has worked for me.
http://www.intergate.com/~berts8nford7/LipidsGraph.JPG
Note, I have never been over 155 pounds so never even just heavy. So my total cholesterol has not changed much like others that do LC but start from much higher weights.
Statins are known to inhibit coenzyme Q (also called Ubiquinone) which is a part of the "electron chain" that creates energy in the cell. TOTALLY essential for the heart muscle, which NEVER rests. I would use PPLP as a shield against having statins prescribed. Dr Eades make quite a point of saying there are NO valid studies that link high cholesterol with heart disease. He even wrote a blog about Dr. Lynn Smaha, former president of the American Heart Association, who died suddenly of a heart attack at age 63. Go here to read (and you should also print this one) it because it shows that lowering cholesterol is not the answer.
http://www.proteinpower.com/drmike/?p=240
Here is a selected set of his blogs you might like to read.
Credibility lacking in the scientific literature
http://www.proteinpower.com/drmike/...fic_jour_1.html
Reporting bias and medical studies
http://www.proteinpower.com/drmike/...rting_bias.html
The lipid hypothesis
http://www.proteinpower.com/drmike/...ipid_hypot.html
Scientific journal credibility
http://www.proteinpower.com/drmike/...tific_jour.html
Most scientific articles are false
http://www.proteinpower.com/drmike/...scientific.html
Baboon business - Anatomy of a Scientific Article
http://www.proteinpower.com/drmike/...n_business.html
Statistical humbug
http://www.proteinpower.com/drmike/...stics_is_n.html
More saturated fat nonsense
http://www.proteinpower.com/drmike/...nonsense_a.html
Dress your salads with oil
Carotenoids found in colorful fruits and vegetables, and lycopene,
found in tomatoes, require fat for their absorption.
http://www.proteinpower.com/drmike/...i_was_at_a.html
Anti-fat bias of the press
http://www.proteinpower.com/drmike/...fat_bias_o.html
Brace yourselves for more low-fat buncombe
During the first year the women in the group that got the constant attention
lost a little over 4 pounds more than the women in the group that were ignored.
By the end of the study the weight loss difference had narrowed to less than a
pound.
http://www.proteinpower.com/drmike/..._yourselve.html
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You may wonder about the first group, with things like "Most scientific articles are false" BUT for me it shows how discerning Dr. Eades is. So when he chooses an article to use as a reference, I feel quite confident that he has carefully examined the FULL article, the study methodology, the data, and the statistics used to reach the conclusion. And has then concluded the study/article is valid.