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228 points curmudgeon22 | 1 comments | | HN request time: 0.208s | source
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PragmaticPulp ◴[] No.26612365[source]
> Subjects ingested 3 mg/kg of caffeine or a placebo at 8am and 5pm

3mg/kg is over 250mg of caffeine for an average weight man. Twice a day makes that 500mg.

An 8.4oz can of Red Bull contains 80mg of caffeine. They were giving these people an amount of caffeine equivalent to 6 cans of Red Bull. Not a perfect comparison because Red Bull contains other ingredients, but that's still a lot of caffeine. For another point of reference, that's 2.5 shots of 5 hour energy (200mg caffeine per bottle).

To top it off, the subjects were caffeine-naive, so they had no caffeine tolerance. They must have been feeling extremely energetic.

No wonder they burned more fat. I'm not sure this is going to translate to your casual coffee drinker or someone with a high caffeine tolerance.

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hombre_fatal ◴[] No.26612954[source]
Almost seems like you're trying to sensationalize it by changing it to Red Bull, something that's actually pretty low in caffeine once you put marketing aside.

How about comparing it to Starbucks' regular hot coffee sizes?

- Short - 180 mg

- Tall - 260 mg

- Grande - 330 mg

- Venti - 415 mg

Is drinking a 12oz Tall at Starbucks really dropping your jaw?

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have_faith ◴[] No.26612981[source]
It drops my jaw that anyone drinks that regularly.
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arcticbull ◴[] No.26613168[source]
Well, this massive million drinker meta-analysis of coffee consumption (high levels, 5 cups a day) shows it significantly improves cardiovascular health. [1]

> A nonlinear association between coffee consumption and CVD risk was observed in this meta-analysis. Moderate coffee consumption was inversely significantly associated with CVD risk, with the lowest CVD risk at 3 to 5 cups per day, and heavy coffee consumption was not associated with elevated CVD risk.

[1] https://www.ahajournals.org/doi/full/10.1161/circulationaha....

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jorvi ◴[] No.26615312[source]
There is also a breadth of studies that show consumption is bad - I wouldn't cheer just yet.
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1. arcticbull ◴[] No.26617079[source]
I'm fairly confident none of them were million-person multi-year meta-analysis, although I'm always happy to be proven wrong. Do you have any broad, high-confidence studies you have in mind?