Drinking 1% rather than 2% milk accounts for 4.5 years of less aging in adults
medicalxpress.com
medicalxpress.com
Pretty much sums up the state of nutrition science.
People who chose flavour over lower milk fat would probably self-describe as "living the moment", likely tend to favour short-time gratification more, and do more activities that lead to faster telomere shortening.
I also think it should say “correlates with” rather than account for.
I am a pretty active person and health-conscious, and in my group, we all typically agree that we aren't fond of the substitutes made in skim milk.
"I'mma have a soda. Coke and Coke Zero have equal flavor value for me. Might as well get the Coke Zero."
"I'mma have a side dish. Kale and Fries do not have equal flavor value for me. I'll get the fries."
We'd need to have long term randomized controlled trials where the only difference between groups is the one variable. Which there's no ethical way to accomplish.
So unless we figure out some other method, I suspect we'll never really know about many things in nutrition until we have fully accurate human simulations...
Whole milk is where it is at! Full flavor while leaving you feeling satisfied.
From just 8 days ago.
Really getting tired of these conflicting narrow food/health studies.
NYT: Whole Milk May Be Better When It Comes to Children’s Weight
https://www.nytimes.com/2020/01/07/well/whole-milk-may-be-be...
Maybe the finding is drink whole milk until 18 to lower risk of obesity then switch to 1% to slow effects of aging.
What I'd like to see is a reliable source that synthesizes recent, reproducible research into cogent diet recommendations. Anyone aware of such a source?
In the meantime, I'd prefer not to be pestered by narrow tree-instead-of-the-forest articles that seem to be published every week with hyperspecific diet research. Up to me to ignore them I guess instead of ranting.
Still I thought this was an especially poignant example of research popularized just a few weeks apart that could understandably leave many people wondering what action to take or reducing confidence in diet research in general.
I have a friend with a Phd in food science who went to work for General Mills. He quit 6 months later because all the projects he was given were essentially "Figure out how to make product X with cheaper materials J,K, and L and have it taste the same."
The 6 or so existing conglomerates/holding companies that own the food products industry are all about their own profits, not about health or telling the truth, and they'll do whatever is necessary to keep those profits intact.
Or even simpler, compared to book ownership. Pick a few hundred of the most popular health books and track a population of owners and their cause of death or significant health events.
We cannot know if milk (in general or 1%) is causing aging or protecting against it, cases which point for very different conclusions.
This table also has something interesting that corroborates with this idea:
https://new.hindawi.com/journals/omcl/2019/1574021/tab4/
Note how the ones that rarely drink any milk have the same telomere lengths, same as the ones that drink full fat or 2% milk. SE is also so big for 1% and non-fat on the "rarely" row that telomere lengths can be considered to be the same for all the columns (on this row).
It makes me wonder if it's the milk or if there is any other covariable that is playing a role here. In fact, they themselves cite this in the study ("Discussion" section):
"However, it is possible that other dietary differences account for some of the biological aging differences among the milk fat categories."
Therefore, I'd take this study with a grain of salt. If anything can be concluded by these numbers is that 1% milk may be protective, not that full-fat milk promotes aging.
"The moment you're born, you start dying."
Everything is killing me. Some things a bit faster than others.
> "High-fat milk consumers may have lifestyles that are less healthy than low-fat milk drinkers. Since this possibility was recognized before the onset of the investigation, statistical adjustments were made for a dozen potential confounders. Statistical analyses determined that these variables had little influence on the milk fat and telomere relationship. Nevertheless, other variables could explain some of the relationship between milk fat intake and telomere length identified in the present investigation."
So then the conclusion seems to be that confounding factors have an extremely strong effect on the conclusion, even when the investigators have tried hard to screen them out.
Why? What went wrong with the attempts to screen out the confounding factors?
It's a shocking conclusion, I'll give you that. And to be honest, I'm not convinced either. You might very well be right. But it's a strong claim to make agains a peer-reviewed journal publication.
Remember that peer-review only means that two or three persons had read the manuscript and found no obvious error and think it's inteligible and interesting. It doesn't mean that the reviewers had reproducer and checked all the details.
It is more trustworthy that a webpage in all-caps with white text over a black background, but it depends a lot of the journal. There are serious journals, and there are crappy journal that publish any rubbish if you pay them.
This is not may area, so I'm not sure. I looked at the other articles published in the journal and they look fine, but this is not my area. (Crackpot articles tend to aggregate, so looking at the other articles is sometimes useful.)
It's is very strange that an article about 5834 persons has only one author. Again, this is not may area, but I'd expect 5 or 6 authors. (The other articles in the journal have multiple authors.) It's not a smoking gun, but it's very strange.
In the article, the more interesting part is table 4 https://new.hindawi.com/journals/omcl/2019/1574021/tab4/ It looks fine. I didn't redo all the calculations, but it looks fine. (It may be a professional defect I have, but for me most articles are "Bla bla, bla bla, important table, bla bla.".) The table looks nice.
Also, they are measuring telomere length, not a self reported coefficient. I never trust self reported data. (Some of the covariant they use are difficult to measure like "percentage of total energy derived from saturated fat". How did they measure that? Anyway, I don't expect that to be a problem.)
It's important to wait until the study has been reproduced. (Exact reproductions are difficult to finance and publish, but you can make a twist. For example comparing the four combinations of normal vs cocoa milk and 1% vs 2% milk.)
@GP: Note that the (research) article does not claim that you live 4.5 years longer. They claim that the telomeres are reduced approximately 145 bases, that is somehow equivalent to 4.5 years of aging. Probably having 145 less bases in the telomeres increase some illness, but I doubt it affect too much the accident death rate.
(Note I mean milk the drink, dairy is probably a big part of diets but that's not being studied here)
I personally never drink milk. The only dairy product I regularly consume is butter. But I had a roommate who drank a glass of milk with dinner every day and occasionally had a bowl of cereal in the mornings. So It's at least a spectrum.
https://www.health.harvard.edu/staying-healthy/are-fats-so-b...
https://new.hindawi.com/journals/omcl/2019/1574021/
>Effect modification testing indicated that the milk fat and cellular aging association may be partly due to saturated fat intake differences across the milk fat groups. When the sample was delimited to adults reporting only high total saturated fat intake (tertile 3), the milk fat and telomere relationship was strong. However, when the sample was restricted to adults reporting only low saturated fat consumption (tertile 1), there was no relationship between milk fat intake and telomere length.
https://www.independent.co.uk/life-style/health-and-families...
Quote: "Somewhat surprisingly, he also found that milk abstainers had shorter telomeres than adults who consumed low-fat milk."
> Somewhat surprisingly, he also found that milk abstainers had shorter telomeres than adults who consumed low-fat milk.
OTOH, I imagine this is probably bunk, as sadly was the study with the 10 years figure.
(I do think that being vegetarian or vegan is probably healthier than being a meat-eater, though).
That is, the sort of people that drink 1% milk, or have a healthy diet, also have a lot of other healthy habits.
These kinds of studies are worse than doing nothing because they lead people to believe that one small change could be the difference in your length of life when all they do is observe correlations. Hell, the guy even said he could easily argue for any conclusion about dairy that was asked of him!
https://en.wikipedia.org/wiki/List_of_countries_by_life_expe...
Tamil Nadu (3% vegetarianism) - 70 years
Karnataka (21% vegetarianism) - 68.8 years
Doesn't look like I'd look there for life extension.
https://en.wikipedia.org/wiki/List_of_Indian_states_by_life_...
https://en.wikipedia.org/wiki/Vegetarianism_by_country#India
The simple fact is that most people have unhealthy eating and lifestyle habits. So if you isolate one group that does much better on these because of their focus on healthiness, then of course they're going to be healthier and live longer on average. It doesn't mean than their particular food choices are optimal or necessary.
To counter your point, just look at Japan. It has the highest average life expectancy IIRC, yet vegetarianism there is pretty much non-existent, to the point where vegetarians (and especially vegans) who try to vacation there have a very difficult time. Meat and especially fish are huge parts of the diet.
The literature is full of fishing expeditions for premeditated statistically significant results. People seem to choose a belief set which is intuitively appealing to them (bonus points if it can make them feel like they are morally superior) and then write and share volumes which poorly represent weak research as gospel.
This report should say the opposite, more accurate "People with shorter telomeres prefer higher fat milk". There is no evidence presented that would indicate you can influence your telomeres by choosing different milk or that milk choice is actually the culprit.
Biology-substance-effect research and especially reporting is strongly biased towards telling a good story and the motivations driving that bias strongly devalue the results.
> We’ve been brought up to think that drinking milk is good for our bones, but new research suggests that not only is this false, but the sugars in it may actually be accelerating the ageing process.
Also:
Conflicts of Interest: The author declares no conflict of interest.
The contrast between whole milk and no-fat milk is a comparatively subtle dietary shift.
Extraordinary claims require extraordinary evidence, especially when they can impact millions of humans.
A smallish red flag from a scientist’s perspective is that the article was published by a publisher based out of a developing country. There’s nothing wrong with that per se, but in practice it often reflects a paper that for one reason or another couldn’t get published in more well-known higher impact factor journals
Seems more to do with high saturated fat intake.
Sadly our traditional food culture of Skyr, lean grass fed sheep and plenty of fish has given way to a more Americanized fast food culture. So it wouldn't surprise me if our averages will start trending downwards in a generation or two.
Milk fat sourced from grass fed cows is actually pretty rich in healthy fats like Omega 3, CLA and Butyric acid. In fact many people who can't tolerate milk, can easily digest milk fats like butter and ghee which are devoid of the usual milk allergens (Lactose and Casein)
I might also like to see results with other kinds of fats, to know if it's something about milkfat in particular.
There was a theory a while back that the lipid size in homogenized milk might be problematic for the human digestive and circulatory system, causing them to get into places they shouldn't.
If that were true, I suppose you could explain these results by showing a link between early cardiovascular disease (CVD) and shortening of telomeres. But it looks like we have a bunch of studies showing shorter telomeres leads to CVD, not vice versa (although we've gotten cause and effect backward before so who knows at this point).
Don't drink your calories.
Could it be that people who drink 0% and 1% milk also eat fewer foods high in fat and sugar (or are more aware of their diet in other ways) compared to the average (i.e., those who do not drink milk and those who drink the most common milk available)?
[..] Telomere length is positively associated with the consumption of legumes, nuts, seaweed, fruits, and 100% fruit juice, dairy products, and coffee, whereas it is inversely associated with consumption of alcohol, red meat, or processed meat.[..]
And
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3463808/
And
> "High-fat milk consumers may have lifestyles that are less healthy than low-fat milk drinkers. Since this possibility was recognized before the onset of the investigation, statistical adjustments were made for a dozen potential confounders. Statistical analyses determined that these variables had little influence on the milk fat and telomere relationship. Nevertheless, other variables could explain some of the relationship between milk fat intake and telomere length identified in the present investigation."
They didn't go into great detail as to what those confounders were, but it looks like they took that into account and isolated milk-fat percentage as well as they could. Source: https://new.hindawi.com/journals/omcl/2019/1574021/
Perhaps it is. Perhaps it isn't. It just depends on how much you trust their methodology.
The people drinking 1% typically would exercise more and watch overall diet.
Shocking.
I'm no expert but my initial reaction would be that you need more than 5834 adults in a study that controls for all of those factors. We don't really know how household size, for example, would affect the results, so wouldn't you need a bunch of test data to analyze all of the combinations? Or did they only study people who are the same in most of them? (i.e. 45, male, with a household size of 4, nonsmoking, etc...)
Would love to hear from someone more informed on this than myself.
> Fourth, adjusting for differences in demographic, lifestyle, and dietary covariates has little influence on the relationship between milk fat intake and biological aging. Fifth, there is no relationship between milk fat intake and telomere length among adults who consumed low levels of total saturated fat (tertile 1), but it is strong among adults who consumed moderate or high levels of total saturated fat.
WTF? Am I misunderstanding something?
Water hydrates the best.
Milk (even skim) has proteins. So its not just hydration.
If we knew all the correlations, we might stand a pretty good chance of controlling for them, but we don't know them. We might hypothesize that drinking 1% milk is associated with higher rates of exercise, and we might go out and measure that against a control group. But what if it's also associated with drinking less alcohol? Or not smoking? Or anything else.
We don't know all of the correlations, because human beings are complex, and we can't hold all other variables static, which is why nutrition science has been so abysmal. Only if we first hypothesize the correlation, or collect the data necessary to make the connection, can we even attempt to control for it.
If only we had some way to know which confounding factors the original authors accounted for. Oh wait, that's what RTFAing achieves.
Did they control for the possibility that 1% milk drinkers learned to drink 1% milk at a young age, and that population happens to live in areas further away from sources of pollution, even in comparison with other households in the same income quintile? Did they control for blood lead levels in childhood?
The point is that we don't know what the covariates are. We have no way to even approach the problem.
Do people who drink a lot of 1% love longer than people who drink a little 2%? What about 3.5%?
Is this just boring p-hacking?
[0]: https://www.ncbi.nlm.nih.gov/pubmed/24894826
[1]: https://www.ncbi.nlm.nih.gov/pubmed/20949604
I think I might rather have the cancer.