December 27, 2017

Champagne for your brain?

Q: Did you see that drinking Champagne every day can prevent dementia?

A: Didn’t that story come out a while ago?

Q: June, I think. But it’s more relevant now. And it’s going to be 38C today, so it’s not like you have anything better to do. And Champagne is seasonal at the moment.

A: Ok, ok.  I’ll look it up

 

A: Here’s the press release

Q: That’s dated 2013. Are you sure it’s the right one?

A: It was linked from one of the stories you gave me.

Q: And you found the research paper?

A: Yes. That’s also from 2013

Q: It’s in a journal called Antioxidants and Redox Signalling? That doesn’t really sound like a medical journal about dementia.

A: No, it doesn’t.

Q: How many people were in the study?

A: None

Q: Ok, how many mice?

A: 8 elderly rats in each of three treatment groups: control, alcohol, Champagne.

Q: And the Champagne rats were less likely to get dementia?

A: No, they did slightly better on tests involving remembering whether they’d found a food pellet in the left or right tunnel of a maze.

Q: How long were they given Champagne diet?

A: Six weeks.

Q: But it was real Champagne

A: Yes — the researchers think that because Champagne is made partly with red-wine grapes such as Pinot Noir it will contain beneficial compounds similar to those in red wine

Q: But doesn’t red wine also contain compounds similar to those in red wine?

A: Indeed. You could just drink the Pinot Noir straight.

Q: Three glasses a day seems quite a lot, especially for a rat.

A: That’s scaled by body weight: 1.78 ml/kg

Q: And do rat doses usually scale that way to humans?

A: No, if you use a more standard formula you end up with about 1.3 glasses per week as the equivalent dose in people.

Q: Not such a good headline

A: No

Q: We’d know if 1-2 glasses of red wine per week prevented dementia, wouldn’t we?

A: Yes, probably. The usual message applies: if you’re drinking champagne primarily for the health benefits, you’re doing it wrong.

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Thomas Lumley (@tslumley) is Professor of Biostatistics at the University of Auckland. His research interests include semiparametric models, survey sampling, statistical computing, foundations of statistics, and whatever methodological problems his medical collaborators come up with. He also blogs at Biased and Inefficient See all posts by Thomas Lumley »

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