Mbaker
Well-Known Member
- Messages
- 4,339
- Location
- Essex
- Type of diabetes
- Treatment type
- Diet only
- Dislikes
- Available fast foods in Supermarkets
What is your opinion is the best method of testing Red Meat health, and rate in your order. I have listed a couple of points loosely based around the evidence hierarchy:
1. Food Frequency Questionnaire:
https://www.diabetes.co.uk/news/2021/may/gorging-on-red-meat-is-not-good-for-heart-health.html
Pros
Cheap
Cons:
Recall
Minimal or none carnivore dieters - i.e. is the problem the alcohol, burger, fries, bun etc that came with the meat
Relative risks and other lifestyle confounders
2. Proxy Tested Results:
https://www.virtahealth.com/outcomes
Pros
Meat eaters are the majority population. So if this cohort and similar get better then.....
Cons:
Not exclusively meat eating, quantities of red meat not known
3. Anecdotes:
https://meatrx.com/category/success-stories/
4. Ancestral / History:
Pros:
Some populations still alive
Cons:
Some tribes are getting some modern foods also
5. Randomised Trial:
Pros:
Can carry weight of efficacy
Cons:
Definitions. E.g. low carb 130 grams
Foods: use of veg oils or versions of Keto, Keto people would not do
So for me the order is:
1. Ancestral / History
I believe this is trumps everything as it encompasses common sense e.g, Obesity rate in UK in 1970 was 2%, raises the question what changed significantly or the most - veg oil and derivative products.
2. Anecdotes
In significant numbers these are hypothesis generating and when backed by medical records backing the results are powerful evidence. These can often disprove an hypothesis, e.g. meat causes: diabetes, hypertension - how can both reversal and causation both be true at the same time.
3. Proxy Tested Results
These often show results that disprove another hypothesis e.g. Women's Health Initiative study, Mr FIT study and Minnesota coronary experiment 1968-73. In the case of Virta Health, there study confounded many "accepted" facts.
4. Randomised Trial
These can be setup to show what is required. E.g. a study of "meat eaters" vs "dash diet". If the meat eaters were Josephine and Joe blogs from Somewhere world vs dash diet eaters who were 4 times a week gym goers who do not drink - you would get outcome 1; if the meat eaters were several I could pick out from this website who have put their Type 2 into remission you would get outcome 2.
5. Food Frequency Questionnaires
Where to start with these. People from a computer / engineering background cannot abide by this type of science, due to if those same methods were being used in our fields, computer systems would get more viruses, every other plane would fall out of the sky etc. Most of us are in absolute results industries, where relative results are not acceptable or useable, and "misleading" is definitely off of the table.
Over to you, your thoughts
1. Food Frequency Questionnaire:
https://www.diabetes.co.uk/news/2021/may/gorging-on-red-meat-is-not-good-for-heart-health.html
Pros
Cheap
Cons:
Recall
Minimal or none carnivore dieters - i.e. is the problem the alcohol, burger, fries, bun etc that came with the meat
Relative risks and other lifestyle confounders
2. Proxy Tested Results:
https://www.virtahealth.com/outcomes
Pros
Meat eaters are the majority population. So if this cohort and similar get better then.....
Cons:
Not exclusively meat eating, quantities of red meat not known
3. Anecdotes:
https://meatrx.com/category/success-stories/
4. Ancestral / History:
Pros:
Some populations still alive
Cons:
Some tribes are getting some modern foods also
5. Randomised Trial:
Pros:
Can carry weight of efficacy
Cons:
Definitions. E.g. low carb 130 grams
Foods: use of veg oils or versions of Keto, Keto people would not do
So for me the order is:
1. Ancestral / History
I believe this is trumps everything as it encompasses common sense e.g, Obesity rate in UK in 1970 was 2%, raises the question what changed significantly or the most - veg oil and derivative products.
2. Anecdotes
In significant numbers these are hypothesis generating and when backed by medical records backing the results are powerful evidence. These can often disprove an hypothesis, e.g. meat causes: diabetes, hypertension - how can both reversal and causation both be true at the same time.
3. Proxy Tested Results
These often show results that disprove another hypothesis e.g. Women's Health Initiative study, Mr FIT study and Minnesota coronary experiment 1968-73. In the case of Virta Health, there study confounded many "accepted" facts.
4. Randomised Trial
These can be setup to show what is required. E.g. a study of "meat eaters" vs "dash diet". If the meat eaters were Josephine and Joe blogs from Somewhere world vs dash diet eaters who were 4 times a week gym goers who do not drink - you would get outcome 1; if the meat eaters were several I could pick out from this website who have put their Type 2 into remission you would get outcome 2.
5. Food Frequency Questionnaires
Where to start with these. People from a computer / engineering background cannot abide by this type of science, due to if those same methods were being used in our fields, computer systems would get more viruses, every other plane would fall out of the sky etc. Most of us are in absolute results industries, where relative results are not acceptable or useable, and "misleading" is definitely off of the table.
Over to you, your thoughts