A bunch of people have already asked me about this study I have Some Thoughts Many of them are that this is totally ridiculous, drink whatever milk you want ughpic.twitter.com/YuCR9s5NlV
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For example, it might be that people with sick parents are more likely to drink full fat milk. Having sick parents is associated with telomere issues, so instead of the milk it's the sick parents' fault
Also, the main analysis treated fat % in milk as a linear variable? That's just total nonsense, you can't buy milk (in most places) that has 2.35% fat
For this study to be correct, people would have to be homogenizing their own milk which is...unlikely
Anyway, there are more problems but I think that's enough for now You can't really take much away from this study except that adults in 2000 who drank full fat milk might've had slightly shorter telomerespic.twitter.com/LSREjADsty
TL:DR - drinking skimmed milk can't "add 4.5 years to your life" - the study had nothing to do with age - probably not causal - DRINK WHATEVER MILK YOU WANT
Oh, forgot to mention that if this regression was accurate you'd expect that people who eat cheese, which has a very high percentage of milk fat, would have basically no telomereshttps://twitter.com/GidMK/status/1217927165884321792?s=20 …
Very similar to this BS done here in Paraguay https://www.researchgate.net/publication/337123851_DNA_damage_induced_by_exposure_to_pesticides_in_children_of_rural_areas_in_Paraguay … Can you please take a look at it and tell us what you think? Thank you
The paper did mention the possibility that low fat milk drinkers were different in lifestyle (the so called healthy user effect) Low fat has been pushed as healthy so they probably adhere to many other healthy behaviors.
They claimed they controlled for many of these and didn't see any differences in the correlations- but there were many others probably that weren't even measured so couldn't be controlled for. Observational studies are always weak for this reason.
Depends on the study. Drawing causal inferences of a treatment effect can be challenging with these datasets, but most of my research is observational and not impacted in any way (i.e. monitoring diabetes rates)
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