Low-carbohydrate diets and all-cause and cause-specific mortality
ncbi.nlm.nih.gov
ncbi.nlm.nih.gov
Asking people to quantify their eating habits over the previous several years and expect to have meaningful quantitative results is impossible. I can barely quantify my eating habits over the last few months. There are just far too many variables that cannot be controlled for in such research as to render any conclusion impossible.
We need meaningful nutritional research, desperately, and this just isn't it. It angers me deeply that this passes as science that will get reported on, used as "proof" in justifying recommendations, etc.
In particular the law of large numbers applies (which you should know about as a physicist). I would argue that despite the noise in the reporting the conclusions from this study are likely much more significant than a tightly controlled randomized trial with a small group (~100 people).
Self reported questionnaires are certainly a well established method in these sort of studies and the short-comings are well understood, that does not mean their results are meaningless.
In particular, I would argue that many (most) people can give meaningful quantitative answers to their eating habits over several years as their habits rarely change. Certainly most people here would be able to answer approximately with how many meals per week they eat meat, how much vegetables they eat on average, how often they drink alcohol etc.. We are only interested in rough averages.
Regarding your argument that there are too many variables that can't be controlled for, ok lets hear them name at least 10 and make a valid statistical argument why they need to be controlled for in a sample size of ~80 000.
The problem is the humans. We are not reliable witnesses, even of our own pasts, and unless we are following very strict diets, most of us essentially follow a mostly random walk with our food intake across a narrow range of food groups (even caloric intake can be wildly inconsistent over time). I've met enough people who completely underestimate their consumption of desserts, e.g., that they mentally reduce the occurrence of such events in their personal historical narratives. That alone could put many from both low-carb vegans and low-carb meat eaters into the high-carb category.
Which is the point, the worst failure of this methodology is that there is no evidence that human memory, regarding food consumption, provides an accurate measure over long periods of time. If you cannot establish the trustworthiness of the most basic tool of your methodology, then almost by definition it's meaningless. The error in self reporting could be high enough such that the true classification of 80% of the low carb group is actually high carb. Or the vegan group could be nearly half high-carb, etc.
Without a thorough vetting of the accuracy of the instrumentation used in the research (FFQ in this case), we cannot know the margins of error. But we have apriori reasons for believing the accuracy to be significantly high. Adding more people to the group doesn't increase the accuracy in this case, it only increases the volume of the noise. Is the True Low Carb ratio of each group 10% or 90%? Who knows.
If we can't validate the accuracy of the tools, it makes the results essentially a random choice between the possible conclusions. It means they haven't disproven the null hypothesis.
Which is why I favor some form of sequestration of smaller populations of similar genetic makeup (multiple groups for each type of diet), etc. But that is mostly impractical.
That said, I do think even noisy studies (noisy as in inaccurate measurements) like this at least show that there is no glaring big correlation between, say, low-carb diet and mortality. If low-carb diet people started to die decades younger than average, then even noisy studies would show. In this sense, studies like this have some value, albeit little.
I am now wearing a constant glucose monitor and tried half a cup red lentil - semolina flour pasta. Should be OK, shouldn't it? My blood sugar jumped from below to 100 to above 140. My target is 120 and I am almost always below. Most often, well below. 140 is bad. I tried a "keto burrito". 135. I simply cut all starches and now I am good.
All in all, ever since I am wearing my CGM I can attest almost all nutritional advice given to diabetic people at least does not apply to me and I suspect I am not alone.
I am not surprised. At all. First of all, the entire science reeks because it's not genetics based. We know (although, do we? I no longer trust anything) at least lactose intolerance is caused by a gene. Is it too far fetched to say reaction to other foods could also be varied based on genetics? Second, there is a huge problem with scientific research itself. There are books and how to say, counter-research done on this. Basically, you take a grant, run a study and then produce some result, if your end result is nothing which is ought to be default, well that doesn't look good. So you produce some result... even if it's cherry picked data. And then some statisticians a decade later get hold of the raw data and prove you have found nothing. It happens all the time. Third, this is especially a problem with drugs but can happen with nutrition research too. Surely you have seen the ads where they are looking for volunteers? Well, who do you think they are going to get? No one produces a study with the title "our study among people experiencing homelessness and abject poverty"...
Anyways, I am vaccinated against covid. I hope this one is not botched. But nutritional advice? Nah. I refuse to talk to a nutritionist, I refuse to accept any advice, all of them are invalid -- for me.
But I’ll agree that you might be able to quantitative compare prison A vs prison B if you can get a control prison and account for differences. Just a diet of 20% more carbs between A/B would be interesting.
I imagine someone has “done science” on prisons in other areas already. Way more ethical than the typical proposals I see for prisoners/prisons on the internet.
What sort of ethical issues are you thinking? I would have thought higher grade meals than you'd find in a standard prison would entice all the volunteers you could want. There's probably other groups were some good quality meals would be just as enticing, like college students.
A bigger practical issue in prisons would be things like the high prevalence of hepatitis and drug use along with all the confounding factors (like poverty) that lead them to end up in prison.
And remember: anything that relies on current technology won't bring results until 2040s or 2050s.
Eating more vegetables?
It's noteworthy that the 'five (vegetables/fruit) a day' mantra is a familiar one in the UK and I guess elsewhere. But rarely does anyone explain precisely why this is a recommendation given that it's quite possible to supply the required fat, protein, carbohydrate, vitamins and minerals without consuming significant amounts of fresh fruit and vegetables (using supplements).
You're just not going to get an experiment like you can lay out in physics.
I think the point of the author mentioning major limitations in the paper is to acknowledge that this is sadly the best we've got to work with
I think your claim is unsubstantiated. You're for some reason under the belief that nutrition has a large impact on people's life expectancy and health, but I don't know what accurate experiment or data you're basing this off, while also pointing out that this research was not good enough.
All the nutrition studies are like this, and so if you disregard them, you're left with no reason to believe nutrition even affect health or life expectancy for the average person in the first place.
Not gonna happen.
a) Too much vested interest everywhere. b) We can't experiment on humans for ethical reasons anyways.
We do desperately need actual research. I think the obesity crisis is far worse than most anyone realizes. I can think of a dozen reasons for people to actively ignore it.
https://deniseminger.com/2010/09/08/brand-spankin-new-study-...
In short, based on questionable dataset, "low carb" wasn't really low carb (37-60% calories), "vegetable-based" diet was still ~30% animal source calories (vs 45% for "animal-based"), vegetable group generally ate more varied/whole food plants and had healthier behaviors, various other contradictory health outcomes within the deciles.
Most people should probably be eating more plants, but this study really doesn't demonstrate "low-carbohydrate diet based on animal sources was associated with higher all-cause mortality, whereas a vegetable-based low-carbohydrate diet was associated with lower all-cause and cardiovascular disease mortality rates" especially as most people would understand the terms "low-carb" / "based on animal sources" / "vegetable-based".
> A low-carbohydrate diet based on animal sources was associated with higher all-cause mortality in both men and women, whereas a vegetable-based low-carbohydrate diet was associated with lower all-cause and cardiovascular disease mortality rates.
I'm not familiar enough with reading scientific whitepapers to judge if it's good science or not though.
As someone that isn't vegan, and thinks that low-carb diets are pretty good, I don't really want to believe this result. :)
When I was doing my first 9 months of <20g of carbs and a 30-40% caloric deficit, I eventually dipped down low enough that I could cover it in a single meal. So I figured I'd give intermittent fasting a go.
Almost immediately I noticed a difference. What was once solid was no more... Almost like the first week or so of the diet where my gut was getting used to the new order of things.
After a bit of trial and error I figured out that it was the large amount of fat in a single sitting that was causing my distress. I'm guessing here, but perhaps it isn't possible to absorb it all before it makes it out the other end? In any case, I went back to 2 meals a day and all was well again.
Just to put it in context: That’s far less than the low-carb this study is talking about ;)
Did you try other low-carb foods or just give up? There are many options and if it can figure out which ones are problematic for you, eliminate those and eat others.
Diet and lifestyle characteristics were assessed with some degree of error, however, sensitivity analyses indicated that results were not unlikely to be substantially affected by residual or confounding or an unmeasured confounder. In addition, participants were not a representative sample of the U.S. population.
Am I missing something or is this saying the data they used is known to be flawed and not reliable?
I'd like to see a study for healthy people on low carb and the benefits.