WEBVTT - What's the deal with cortisol?

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<v Speaker 1>Emily. We're talking about cortisol today, which people say is

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<v Speaker 1>a stress hormone, and yeah, we'll get there. But I've

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<v Speaker 1>been thinking a lot about stress this week, and one

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<v Speaker 1>thing I wanted to tell you is that my fitness

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<v Speaker 1>tracking watch, which is a Samsung watch, periodically pings me

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<v Speaker 1>just to be like, hey, you're feeling very stressed right now,

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<v Speaker 1>and this.

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<v Speaker 2>Is that sounds so annoying.

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<v Speaker 1>Not helpful, Samsung. I have no idea why. Like, it'll

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<v Speaker 1>come up and I as a doctor, you know, I'll

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<v Speaker 1>take my pulse and be like, it's something weird happening,

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<v Speaker 1>and I think I feel fine, But then of course

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<v Speaker 1>it gets in your head it's like, what, well am

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<v Speaker 1>I stressed? And then I decide, well, I must be stressed,

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<v Speaker 1>and then I'm stressed. Does this happened to you?

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<v Speaker 3>No, because my fitness tracker, of which I have two,

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<v Speaker 3>give me different kinds of inputs. But I will say

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<v Speaker 3>at the end of the day, every day I get

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<v Speaker 3>a message that's like, today you spent blah blah blah

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<v Speaker 3>minutes in the high stress zone. And then it tells

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<v Speaker 3>me whether those are like part of my actual exercise

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<v Speaker 3>or other things sort of like today you spent two

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<v Speaker 3>hours and nine minutes in the high stress zone, the

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<v Speaker 3>majority of which came from activities outside of strain. And

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<v Speaker 3>then it's like, oh, well, what else was I what

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<v Speaker 3>else was I doing? And then it's usually like usually

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<v Speaker 3>this came from sleep, and then I'll be like.

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<v Speaker 2>Why did you drink alcohol?

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<v Speaker 3>That's like it's like, so it gets a little more judgmental,

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<v Speaker 3>but yeah, people don't like the judgment aspects of watches.

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<v Speaker 3>It's like, I, do you ever do you run with

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<v Speaker 3>a watch?

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<v Speaker 2>I do exercise. Do you notice that when you start.

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<v Speaker 3>Running it beeps a number like plus one, plus two,

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<v Speaker 3>negative one?

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<v Speaker 2>Does your watch do this?

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<v Speaker 1>My watch doesn't do that.

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<v Speaker 2>This is the worst thing.

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<v Speaker 3>You're like running along and you're like I feel pretty

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<v Speaker 3>good and then your watch beeps and it's like negative

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<v Speaker 3>six and that you suck it, your bad And so

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<v Speaker 3>I think they should dial down the amount of information

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<v Speaker 3>our watches are pushing at us.

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<v Speaker 1>I think telling someone, hey, you your stressed man is

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<v Speaker 1>more or less the equivalent of me telling my sixteen

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<v Speaker 1>year old daughter, like, you seem like you're in a

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<v Speaker 1>bad mood, Like it's just just it's not going to

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<v Speaker 1>go well.

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<v Speaker 3>One step up from like are you getting your period?

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<v Speaker 3>But like it still pretty bad?

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<v Speaker 1>Okay, having three older sisters, I know not to ask

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<v Speaker 1>that question. You'll learn that. You learn that maybe we

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<v Speaker 1>need a more objective readout of stress. Maybe that objective

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<v Speaker 1>readout is cortisol. Maybe not. Let's figure it out, find out.

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<v Speaker 3>I'm Emily Aster, I'm an economist and a data expert.

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<v Speaker 1>And I'm Perry Wilson, I'm a medical doctor.

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<v Speaker 3>It's Thursday, July ninth, twenty twenty six. And this is wellness.

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<v Speaker 1>Actually, because you're getting a staggering amount of health and

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<v Speaker 1>wellness information nowadays from every source imaginable, and some of

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<v Speaker 1>it is awesome and some.

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<v Speaker 3>Of it is well actually both Fortunately we are both

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<v Speaker 3>people who know how to read studies, how to parse

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<v Speaker 3>the data, and can tell you what's worth thinking about

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<v Speaker 3>and what you can safely ignore.

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<v Speaker 1>But before we dig in, a note that this podcast

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<v Speaker 1>is for educational purposes and should not be construed as

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<v Speaker 1>medical advice. We don't know your unique situation, so talk

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<v Speaker 1>to your doctor for personal health decisions.

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<v Speaker 2>This week we're asking what's the deal with cortisol?

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<v Speaker 3>Perry and I will give the official smasher pass and

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<v Speaker 3>then we'll get to your question of the week, but

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<v Speaker 3>first let's do the health news roundup after the break.

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<v Speaker 1>And we are back with the health news of the week, Emily.

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<v Speaker 1>The FDA is allowing Zin pouches to market their relative

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<v Speaker 1>health benefits compared to other tobacco products like cigarettes. What's

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<v Speaker 1>going on here? What's up with zin?

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<v Speaker 2>So Zin is a tobacco product.

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<v Speaker 3>It is a nicotine product particular, and people like it

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<v Speaker 3>a lot of people like it a lot. It's become

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<v Speaker 3>very popular with like tech bros. Because there's this sense

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<v Speaker 3>that nicotine increases your focus, and people like Andrew Huberman

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<v Speaker 3>are kind of into the health benefits of nicotine, but

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<v Speaker 3>they also understand this smoking is bad for you, and

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<v Speaker 3>so this is like a way to get your nicotine

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<v Speaker 3>without smoking. And Okay, so the FDA has now allowed

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<v Speaker 3>Zin to make help what I would describe as health statements.

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<v Speaker 3>So the claim things like using Zin instead of cigarettes

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<v Speaker 3>puts you at a lower risk of mouth cancer, heart disease,

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<v Speaker 3>lung cancer, stroke emphasem, and chronic broncholitis that statement is.

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<v Speaker 2>I would say broadly true.

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<v Speaker 3>So these products are definitely safer than cigarettes. I think

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<v Speaker 3>what many people are concerned about is that children will

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<v Speaker 3>see this and be like, hey, Zen's a health food

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<v Speaker 3>and like I can do and this is like not

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<v Speaker 3>bad for me at all. And on top of an

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<v Speaker 3>app atmosphere in which you can also get as we

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<v Speaker 3>talked about an earlier episode, like fruit flavored vapes, we're

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<v Speaker 3>kind of entering a place where somehow we've come up

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<v Speaker 3>with this idea that there's health benefit opportunities to things

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<v Speaker 3>that are not cigarettes but still have this nicotine. And

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<v Speaker 3>I think that's pretty dangerous in part because if you

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<v Speaker 3>get addicted to nicotine and then there's no zin around,

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<v Speaker 3>you got to move to something else, like cigarettes, which

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<v Speaker 3>are bad for you.

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<v Speaker 1>Yeah, or just zin, I mean this is or just zin.

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<v Speaker 2>Is bad for you. We don't really.

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<v Speaker 1>I mean this is true that smoking, like lighting something

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<v Speaker 1>on fire and inhaling the smoke that comes out of it,

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<v Speaker 1>is worse for your lungs than sucking on a nicotine pouch.

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<v Speaker 1>This is, Yes, you're at less risk of lung cancer,

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<v Speaker 1>but nicotine is a highly addictive substance. It binds to

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<v Speaker 1>a receptor in your brain called the NMDA receptor. It

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<v Speaker 1>makes you feel certain good things and like all physically

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<v Speaker 1>addictive substances. When it's taken away from you, you feel

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<v Speaker 1>much worse you did at baseline. The psychological impact of

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<v Speaker 1>that may be substantial. Certainly the economic impact is substantial

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<v Speaker 1>because these things cost money. And being addicted to something

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<v Speaker 1>that you need to take, even if it had like

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<v Speaker 1>absolutely no ill health effects, if it's just like, oh man,

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<v Speaker 1>I've got to buy this every day and keep sucking

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<v Speaker 1>on it, imposes a cost. So it's an interesting shift

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<v Speaker 1>at the FDA where they're kind of being accurate, but

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<v Speaker 1>I think from a public health standpoint, they're not doing

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<v Speaker 1>a great job telegraphing that, like this still isn't a

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<v Speaker 1>good idea.

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<v Speaker 3>Yeah, I also think we're we're actually in terms of

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<v Speaker 3>the health benefits or costs of nicotine. You know, there's

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<v Speaker 3>some research that nicotine kind of increases focus, but I

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<v Speaker 3>don't know that we have anything that would tell us

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<v Speaker 3>about the health potential health costs of consuming quite a

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<v Speaker 3>lot of nicotine, which is effectively what people are doing

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<v Speaker 3>when they're consuming many many zinn pouches in a day.

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<v Speaker 3>So we're getting kind of a dose that's even a

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<v Speaker 3>bit different probably than we've been tested and say mice. Yeah, Anyway,

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<v Speaker 3>all right, something else that's going on is an outbreak

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<v Speaker 3>of explosive diarrhea. Cyclospora outbreak is happening throughout the US,

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<v Speaker 3>especially in places in the Midwest.

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<v Speaker 2>Perry, what can you tell.

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<v Speaker 3>Us about the explosive diarrhea and where it's coming next

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<v Speaker 3>and why?

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<v Speaker 1>Uh okay. Cyclospora is a parasitic amiba that causes a

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<v Speaker 1>really bad gastro intestinal illness voluminous, watery, non bloody. For

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<v Speaker 1>what it's worth, diarrhea people are going dozens of times

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<v Speaker 1>per day, can lead to pretty severe dehydration, including the

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<v Speaker 1>need for ivy fluids, et cetera. Current numbers, there are

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<v Speaker 1>seven hundred reported cases. This is a one of the

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<v Speaker 1>reportable outbreak, So like if you get a positive test,

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<v Speaker 1>and if you run a clinical lab and a positive

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<v Speaker 1>test comes through, you're required to report it, so we

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<v Speaker 1>catch those, But there are likely people who are suffering

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<v Speaker 1>in silence at home and their gatorade and not getting

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<v Speaker 1>officially tested for this. It's predominantly in the Midwest. The

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<v Speaker 1>concern is that we actually don't know the source. So

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<v Speaker 1>it's clear that you know where a cyclist bora usually

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<v Speaker 1>lives is on produce and particularly like mint and parsley,

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<v Speaker 1>like the sort of garnishy produce, as well as berries,

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<v Speaker 1>which gets into my head because the berries are so

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<v Speaker 1>good right now, and I like am getting blueberries and

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<v Speaker 1>strawberries and raspberries and blackberries all the time at my

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<v Speaker 1>grocery store. But so far testing has not revealed a

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<v Speaker 1>particular source. It is certainly out there.

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<v Speaker 3>It's I should say, it's actually a hard thing to

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<v Speaker 3>test exact sources for because it takes The incubation period

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<v Speaker 3>is not immediate. So if there's something which makes you

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<v Speaker 3>sick in you know, three hours, it's actually quite easy

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<v Speaker 3>to say, Okay, you know a group of people got

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<v Speaker 3>sick within three hours, we know exactly what they ate

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<v Speaker 3>three hours ago. Okay it was spinach or whatever. Here

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<v Speaker 3>it takes a while. People don't remember what they eight.

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<v Speaker 3>They ate a lot of different things. It's been hard

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<v Speaker 3>to pinpoint.

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<v Speaker 2>Yeah.

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<v Speaker 1>One thing I was looking into about this because my

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<v Speaker 1>daughter gave me a hard time the other day because

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<v Speaker 1>I made her a hamburger and she said it was

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<v Speaker 1>undercooked and she's very afraid of gastrointestinal illnesses. And you sure,

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<v Speaker 1>but you know, yes, I guess you should cook your

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<v Speaker 1>meat adequately, but like, come on, a rare hamburger is

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<v Speaker 1>just the best thing in July. So I did dig

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<v Speaker 1>into this to see, like gastro intestinal illnesses in the

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<v Speaker 1>United States, what percent come from meat and poultry versus produce?

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<v Speaker 1>And actually forty six percent of the food born illnesses

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<v Speaker 1>come from produce and thirty one percent from meat and poultry,

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<v Speaker 1>which leaves I don't know whatever percent. I'm not sure

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<v Speaker 1>what else, but more often, more often from produce. Yeah,

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<v Speaker 1>could be things like that, but produce is the most

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<v Speaker 1>common source for food born illnesses in the US. You

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<v Speaker 1>should wash your produce, and guys, it's watermelon season, like

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<v Speaker 1>you should be washing the outside of your watermelon. I

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<v Speaker 1>know you think that you're cutting into it, but you

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<v Speaker 1>know you cut through the skin and it goes through.

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<v Speaker 1>That's my own that you can suffer.

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<v Speaker 2>Your safety perries here for ruining everything.

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<v Speaker 1>Washa, I'm not ruining it. Just wash it and then

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<v Speaker 1>it's delicious. All right. Let's talk about a new secret

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<v Speaker 1>shopper study of these GLP one websites. So, as you know,

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<v Speaker 1>there are multiple websites online that market GLP ones, and

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<v Speaker 1>a new study actually out of Yale. Although I wasn't

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<v Speaker 1>affiliated with it, set up a fake persona and called

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<v Speaker 1>forty nine of these websites and was able to get

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<v Speaker 1>a prescription from forty five of the forty nine, and

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<v Speaker 1>two of them issued a prescription in under five minutes. Emily,

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<v Speaker 1>problem or solution, I.

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<v Speaker 3>Would say problem. I mean, look, we've talked about this before.

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<v Speaker 3>I'm a smashed broadly on GLP ones as a treatment

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<v Speaker 3>for many things, and I think this is an incredible technology. However,

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<v Speaker 3>it is a medication, injectable, medication or now oral, but

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<v Speaker 3>like it's a medication that has significant effects on people

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<v Speaker 3>and should ideally be prescribed by a doctor who has

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<v Speaker 3>had some interaction with the patient. And I do worry

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<v Speaker 3>about people who are really don't need this or for

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<v Speaker 3>whom maybe it's even kind of damaging in the sense that,

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<v Speaker 3>you know, we have seen some concerning at least anecdotal

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<v Speaker 3>evidence about me people have suffered from meeting disorders in

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<v Speaker 3>the past, this kind of this environment reupping those and

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<v Speaker 3>I would worry about people in that category calling an

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<v Speaker 3>online pharmacy and saying, hey, I feel like I need

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<v Speaker 3>a JLP one similar to an article I saw come

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<v Speaker 3>across my Instagram feeds. Just a clip of someone saying

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<v Speaker 3>that the way that she got a JLP one was

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<v Speaker 3>by wearing twenty pound ankle weights to the doctor so

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<v Speaker 3>she could weigh the like required one hundred and sixtys

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<v Speaker 3>to get on a GLP one, even though she was

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<v Speaker 3>only one hundred and twenty pounds, which probably does not

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<v Speaker 3>necesssitate needing a JLP one.

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<v Speaker 2>So that feels bad to.

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<v Speaker 1>Me, Yeah, that should feel bad. Just over fifty percent

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<v Speaker 1>of the sites asked about eating disorders at all in

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<v Speaker 1>their intake surveys, so there is some potential missed opportunities there.

0:12:21.400 --> 0:12:23.079
<v Speaker 1>And I should say that almost all the sites are

0:12:23.200 --> 0:12:28.280
<v Speaker 1>selling compounded GLP ones. They do this by making custom preparations.

0:12:28.440 --> 0:12:32.800
<v Speaker 1>They take bulk amounts of like ozembic or munjaro, dissolve

0:12:32.840 --> 0:12:34.640
<v Speaker 1>them in their own water, and then you have to

0:12:34.640 --> 0:12:36.840
<v Speaker 1>add something to personalize it to the patients. They usually

0:12:36.840 --> 0:12:39.160
<v Speaker 1>add like some B twelve or something so that it's

0:12:39.200 --> 0:12:41.520
<v Speaker 1>not exactly the same as the branded pharmaceutical. So it's

0:12:41.520 --> 0:12:44.280
<v Speaker 1>in this very regulatory gray zone. You got to be careful.

0:12:44.480 --> 0:12:47.960
<v Speaker 1>I mean, you know. Again, there's a flip side of this,

0:12:48.600 --> 0:12:50.560
<v Speaker 1>and I actually wrote about this this week, which is like,

0:12:50.800 --> 0:12:55.200
<v Speaker 1>if it's this easy, then should there be prescriptions at all?

0:12:55.400 --> 0:12:58.480
<v Speaker 1>Like this middle road of oh yeah, there are prescriptions,

0:12:58.480 --> 0:13:01.040
<v Speaker 1>but everyone can fake it seem sort of dumb. So

0:13:01.120 --> 0:13:03.599
<v Speaker 1>you either close these loopholes and you actually have to

0:13:03.600 --> 0:13:06.120
<v Speaker 1>see a doctor and discuss it, or you don't and

0:13:06.160 --> 0:13:09.319
<v Speaker 1>you just let people buy the things and the libertarians win.

0:13:09.840 --> 0:13:11.400
<v Speaker 2>Right, Yeah, and I think we have either.

0:13:11.559 --> 0:13:14.080
<v Speaker 3>Yeah, we haven't made that choice with most other medications.

0:13:14.080 --> 0:13:15.880
<v Speaker 3>And I think most people would not make the argument

0:13:15.880 --> 0:13:18.560
<v Speaker 3>that we should be allowing people to you know, take

0:13:18.800 --> 0:13:22.760
<v Speaker 3>statins whenever or you know, just get on different But

0:13:22.840 --> 0:13:24.480
<v Speaker 3>maybe maybe people would argue that.

0:13:26.320 --> 0:13:27.800
<v Speaker 1>All right, that's in for the health news of the

0:13:27.840 --> 0:13:31.280
<v Speaker 1>week after the break. What's the deal with cortisol?

0:13:36.640 --> 0:13:40.640
<v Speaker 3>All right, Perry, I am delighted to talk about cortisol,

0:13:40.800 --> 0:13:42.480
<v Speaker 3>something I've heard a lot about.

0:13:42.960 --> 0:13:46.840
<v Speaker 2>As a woman in her let's say, mid to late forties.

0:13:47.080 --> 0:13:50.200
<v Speaker 3>I'm aware that raising my cortisol too high will lead

0:13:50.240 --> 0:13:54.200
<v Speaker 3>to the dreaded belly fat. And I'm sure we'll get

0:13:54.280 --> 0:13:56.800
<v Speaker 3>later to the many ways in which my bones are

0:13:56.800 --> 0:13:59.920
<v Speaker 3>attorney to dust due to my high cortisol. Belly fat combo.

0:14:00.000 --> 0:14:04.280
<v Speaker 3>Oh it's terrible. But before we get into this just

0:14:04.360 --> 0:14:07.000
<v Speaker 3>for people who are getting all their information about cortisol

0:14:07.080 --> 0:14:09.960
<v Speaker 3>from the same Instagram that I'm getting it from. Let's

0:14:10.040 --> 0:14:16.160
<v Speaker 3>start by defining what is cortisol and what are we

0:14:16.400 --> 0:14:19.360
<v Speaker 3>actually talking about here overall.

0:14:19.440 --> 0:14:20.920
<v Speaker 2>So you're a doctor, tell.

0:14:20.760 --> 0:14:25.000
<v Speaker 1>Me, yeah, oh man, cortisol gets such a bad rap

0:14:25.200 --> 0:14:28.040
<v Speaker 1>online and it's such a critical hormone, it's so important.

0:14:28.120 --> 0:14:30.880
<v Speaker 1>So cortisol is a steroid hormone. We've talked about these

0:14:30.880 --> 0:14:35.680
<v Speaker 1>several times before and wellness. Actually, steroid hormones are really

0:14:35.760 --> 0:14:38.840
<v Speaker 1>interesting because the site that they act on is in

0:14:38.880 --> 0:14:41.320
<v Speaker 1>the nucleus, is with the DNA of a cell. So

0:14:41.720 --> 0:14:45.640
<v Speaker 1>all the steroid hormones, including things like testosterone and estrogen,

0:14:45.880 --> 0:14:49.360
<v Speaker 1>get into the nucleus and change how DNA is transcribed,

0:14:49.400 --> 0:14:52.440
<v Speaker 1>so it can fundamentally change what cells are doing, which

0:14:52.480 --> 0:14:56.120
<v Speaker 1>means all these things can do a million different things.

0:14:56.320 --> 0:14:59.640
<v Speaker 1>It's not like you know this one protein is responsible

0:14:59.760 --> 0:15:02.880
<v Speaker 1>for or you know, increasing your sugar level or decreasing

0:15:02.880 --> 0:15:04.880
<v Speaker 1>your sugar level. It does a million things. And I

0:15:04.960 --> 0:15:08.120
<v Speaker 1>think the best way to sort of think about cortisol

0:15:08.440 --> 0:15:12.600
<v Speaker 1>is that it is there primarily to save your life

0:15:13.280 --> 0:15:16.760
<v Speaker 1>in the next ten minutes at the expense of the

0:15:16.800 --> 0:15:22.480
<v Speaker 1>next ten years. So cortisol is a hormone that's present

0:15:22.560 --> 0:15:26.400
<v Speaker 1>to keep you moving and alive after something really bad

0:15:26.480 --> 0:15:28.800
<v Speaker 1>has happened to you, like you got mauled by a

0:15:28.800 --> 0:15:32.640
<v Speaker 1>saber toothed tiger, or you are, you know, running from

0:15:32.680 --> 0:15:34.360
<v Speaker 1>something that is trying to eat.

0:15:34.160 --> 0:15:37.760
<v Speaker 3>You can I'm gonna pause you there because I think

0:15:38.040 --> 0:15:41.240
<v Speaker 3>for most people the thing they think is driving that

0:15:41.400 --> 0:15:42.040
<v Speaker 3>is adrenaline.

0:15:42.440 --> 0:15:44.800
<v Speaker 2>So when you tell me you were chasing by a tiger,

0:15:44.920 --> 0:15:47.520
<v Speaker 2>I think adrenaline. Yeah, they're not the same.

0:15:48.160 --> 0:15:51.400
<v Speaker 1>They're not the same. And cortisol is secreted by the

0:15:51.440 --> 0:15:55.000
<v Speaker 1>adrenal glands, which is where adrenaline comes from. Two and

0:15:55.680 --> 0:15:59.240
<v Speaker 1>they are by all means related and evolutionarily followed kind

0:15:59.280 --> 0:16:04.560
<v Speaker 1>of similar. But adrenaline is much more cardiovascularly active in

0:16:04.680 --> 0:16:09.080
<v Speaker 1>terms of like flogging your heart and whatnot, whereas cortisol

0:16:10.320 --> 0:16:14.080
<v Speaker 1>is more focused on sugar levels. So when you're being

0:16:14.160 --> 0:16:16.840
<v Speaker 1>chased by a tiger, you want there to be plenty

0:16:16.840 --> 0:16:19.320
<v Speaker 1>of sugar in your blood for your muscles to use

0:16:19.440 --> 0:16:21.640
<v Speaker 1>and for your brain to use. And you really don't

0:16:21.680 --> 0:16:26.120
<v Speaker 1>care about whether there's energy for your gut or your

0:16:26.240 --> 0:16:31.640
<v Speaker 1>liver or like your bones, or for your immune system even,

0:16:31.760 --> 0:16:34.440
<v Speaker 1>which is a very energetic, energy intensive thing. So you're

0:16:34.520 --> 0:16:38.240
<v Speaker 1>kind of like shutting everything down and focusing all that

0:16:38.320 --> 0:16:42.080
<v Speaker 1>glucose into muscle and brain. And so when you give

0:16:42.160 --> 0:16:45.120
<v Speaker 1>someone cortisol or when they're indogenous, when their own cortisol

0:16:45.320 --> 0:16:48.840
<v Speaker 1>goes up, their blood sugar goes up, their immune system

0:16:49.040 --> 0:16:57.200
<v Speaker 1>ramps down. That's why glucocorticoids, which are cortisol derivatives, are immunosuppressants,

0:16:57.520 --> 0:17:01.480
<v Speaker 1>things like prednozone. Many people have used hydro cortizone cream

0:17:01.600 --> 0:17:04.560
<v Speaker 1>like for itches and stuff like that. So hydro cortizone

0:17:05.160 --> 0:17:08.680
<v Speaker 1>is cortisol, the exact same molecule. There's no difference between

0:17:08.800 --> 0:17:12.640
<v Speaker 1>hydro cortizone and the cortisol that you're adrenal land secretes.

0:17:12.640 --> 0:17:14.480
<v Speaker 1>I mean they put it in a cream obviously, But

0:17:15.560 --> 0:17:19.680
<v Speaker 1>that's what it is. The problem that people attribute to cortisol,

0:17:20.359 --> 0:17:23.639
<v Speaker 1>and sometimes incorrectly, as we'll go into, is like, what

0:17:23.800 --> 0:17:27.960
<v Speaker 1>if that stressor lasts longer than twenty minutes, Right, you're

0:17:28.040 --> 0:17:29.600
<v Speaker 1>running away from the tiger. Oh, you made it away

0:17:29.640 --> 0:17:31.879
<v Speaker 1>from the tiger. Great, you're good, everything's safe, everything can

0:17:31.920 --> 0:17:34.119
<v Speaker 1>go back to normal. What if your whole what if

0:17:34.119 --> 0:17:37.639
<v Speaker 1>your whole life is stressor what if you're constantly feeling

0:17:37.760 --> 0:17:40.440
<v Speaker 1>like you're being chased by a tiger and your cortisol

0:17:40.560 --> 0:17:44.600
<v Speaker 1>levels are high all the time, and it tells a

0:17:44.640 --> 0:17:46.760
<v Speaker 1>really nice story that like, ooh, that would do a

0:17:46.800 --> 0:17:50.120
<v Speaker 1>lot of bad things. But as I said, cortisol gets

0:17:50.480 --> 0:17:53.679
<v Speaker 1>a bad rap, and it might not be as bad

0:17:53.720 --> 0:17:54.120
<v Speaker 1>as you think.

0:17:55.040 --> 0:17:57.800
<v Speaker 3>So in terms of just sort of people thinking about

0:17:57.920 --> 0:18:02.280
<v Speaker 3>like the way that their quarter so moves throughout the day,

0:18:02.320 --> 0:18:04.639
<v Speaker 3>because cortisol is a it is a hormone, and it

0:18:05.160 --> 0:18:07.159
<v Speaker 3>would be a mistake to think of it as just

0:18:07.280 --> 0:18:10.000
<v Speaker 3>always flat except when you're chased by a tiger. It

0:18:10.200 --> 0:18:14.920
<v Speaker 3>is something which is fluctuating through the day. It's highest

0:18:14.960 --> 0:18:16.680
<v Speaker 3>in the morning, so when you sort of first wake

0:18:16.800 --> 0:18:19.879
<v Speaker 3>up in the morning, your cortisol tends to be tends

0:18:19.920 --> 0:18:22.080
<v Speaker 3>to be higher, and it's lowest sort of in the

0:18:22.119 --> 0:18:24.840
<v Speaker 3>middle of when you are asleep, is my sense, like

0:18:24.960 --> 0:18:28.320
<v Speaker 3>on average for most people, and then it will spike

0:18:28.400 --> 0:18:31.080
<v Speaker 3>at times during the day. This is something that's quite

0:18:31.119 --> 0:18:33.200
<v Speaker 3>hard to measure, but in principle it would spike when

0:18:33.240 --> 0:18:37.440
<v Speaker 3>you are doing either physically or emotionally stressful activities like

0:18:37.560 --> 0:18:38.880
<v Speaker 3>running from a tiger is that true.

0:18:39.320 --> 0:18:43.879
<v Speaker 1>Yeah, yeah, yeah. The morning cortisol spike is well described.

0:18:44.520 --> 0:18:47.760
<v Speaker 1>It is one of the reasons why heart attacks are

0:18:47.800 --> 0:18:50.399
<v Speaker 1>more common in the early hours of the morning, for example,

0:18:50.440 --> 0:18:53.119
<v Speaker 1>because your body's sort of revving up to get ready

0:18:53.200 --> 0:18:57.440
<v Speaker 1>to wake up the day. And we will get to

0:18:57.720 --> 0:19:01.200
<v Speaker 1>this is a circadian rhythm, like one of our fundamental

0:19:01.280 --> 0:19:04.000
<v Speaker 1>circadian rhythms. It's about five times higher in the morning

0:19:04.080 --> 0:19:05.880
<v Speaker 1>than it is at night. I mean, it's a real

0:19:06.160 --> 0:19:09.800
<v Speaker 1>it's a real shift over time. And if you really

0:19:09.880 --> 0:19:14.159
<v Speaker 1>dig into the data, you'll find that the level of

0:19:14.280 --> 0:19:18.280
<v Speaker 1>cortisol might not be as important as the circadian rhythm

0:19:18.400 --> 0:19:20.680
<v Speaker 1>of cortisol. So one of the things we see in

0:19:20.880 --> 0:19:24.399
<v Speaker 1>the truly chronically stressed are actually not high cortisol levels.

0:19:24.560 --> 0:19:28.680
<v Speaker 1>It's a loss of that fluctuation. It's flat cortisol levels. Yeah.

0:19:28.720 --> 0:19:30.600
<v Speaker 3>So I think that's a good that's a good pivot

0:19:30.680 --> 0:19:34.680
<v Speaker 3>into what I the first piece of what's tough about

0:19:34.720 --> 0:19:37.320
<v Speaker 3>this entire discussion is going to be really hard about

0:19:37.320 --> 0:19:39.760
<v Speaker 3>the data, which is like what are we measuring and

0:19:39.880 --> 0:19:40.760
<v Speaker 3>when are we measuring?

0:19:40.840 --> 0:19:43.040
<v Speaker 2>So this is not there are some things we measure in.

0:19:43.080 --> 0:19:45.480
<v Speaker 3>People where I think we can say, you know, maybe

0:19:45.520 --> 0:19:47.399
<v Speaker 3>you want to do some repeat measurements, but like we

0:19:47.520 --> 0:19:49.800
<v Speaker 3>have a good sense like something like you know like

0:19:49.880 --> 0:19:52.200
<v Speaker 3>a one C levels for like a diabetic. You know

0:19:52.280 --> 0:19:54.399
<v Speaker 3>you test me we you test it fasting not fasting.

0:19:54.520 --> 0:19:57.760
<v Speaker 3>But we have a good sense, we have a stable

0:19:57.840 --> 0:19:59.680
<v Speaker 3>sense of like how we test that, and we could

0:19:59.760 --> 0:20:01.760
<v Speaker 3>use to say, you know you're a diabetic, you're not

0:20:01.800 --> 0:20:06.359
<v Speaker 3>a diabetic. Measurements of cortisol which are done typically through

0:20:06.760 --> 0:20:09.280
<v Speaker 3>your blood, although actually they can also do saliva, you

0:20:09.320 --> 0:20:11.879
<v Speaker 3>can also do hair. You have many different ways to

0:20:12.040 --> 0:20:14.240
<v Speaker 3>test this. They don't all test the same thing.

0:20:14.760 --> 0:20:18.400
<v Speaker 2>And because there's this fluctuation, it's actually a really really

0:20:18.480 --> 0:20:20.160
<v Speaker 2>hard thing to hit.

0:20:20.640 --> 0:20:22.560
<v Speaker 3>If you wanted to say, what's the number that's going

0:20:22.640 --> 0:20:25.040
<v Speaker 3>to tell me I'm chronically stressed in some dangerous way,

0:20:25.600 --> 0:20:26.840
<v Speaker 3>there's sort of no number like that.

0:20:27.560 --> 0:20:30.440
<v Speaker 1>Yeah, and actually it's a lab test that's pretty bad.

0:20:30.920 --> 0:20:33.840
<v Speaker 1>So there's some lab tests like sodium level that's just

0:20:34.080 --> 0:20:36.280
<v Speaker 1>it's been figured out and we can do it really

0:20:36.359 --> 0:20:38.360
<v Speaker 1>quickly and it's highly accurate, and you test the same

0:20:38.359 --> 0:20:40.159
<v Speaker 1>blood sample twice and you get the same number, and

0:20:40.240 --> 0:20:42.280
<v Speaker 1>like it's really nice, and cortisol just isn't one of

0:20:42.320 --> 0:20:44.879
<v Speaker 1>those things. I mean One of the major issues is

0:20:44.960 --> 0:20:47.680
<v Speaker 1>that ninety five percent of cortisol in your blood is

0:20:47.840 --> 0:20:53.200
<v Speaker 1>bound to proteins and is inactive, so these are just

0:20:53.359 --> 0:20:56.000
<v Speaker 1>chaperone proteins that carry it around. And then the free fraction,

0:20:56.119 --> 0:20:58.080
<v Speaker 1>the five percent, is the thing that does stuff in

0:20:58.160 --> 0:21:00.919
<v Speaker 1>your cells. But almost all the lab tests out there

0:21:01.000 --> 0:21:04.920
<v Speaker 1>are measuring the total, so you know that's is it

0:21:05.000 --> 0:21:08.720
<v Speaker 1>correlated with the free Yeah, but not great and it's

0:21:09.000 --> 0:21:13.200
<v Speaker 1>hard to know. There's obviously the timing of measurement that's

0:21:13.240 --> 0:21:15.560
<v Speaker 1>really important, so you know, you really want to get

0:21:15.560 --> 0:21:18.000
<v Speaker 1>if you actually needed to measure cortisol, for example, to

0:21:18.440 --> 0:21:21.600
<v Speaker 1>tell if you have a disease of excessive cortisol production.

0:21:21.720 --> 0:21:25.480
<v Speaker 1>And these diseases exists called Cushing syndrome or Cushing's disease,

0:21:26.160 --> 0:21:28.880
<v Speaker 1>you get a test early in the morning when you've

0:21:28.920 --> 0:21:32.200
<v Speaker 1>got the best chance of capturing things high. The assays

0:21:32.280 --> 0:21:35.320
<v Speaker 1>that they use for cortisol have a lot of false positives,

0:21:35.920 --> 0:21:38.679
<v Speaker 1>so there's cross reactivity with a bunch of other hormones

0:21:39.000 --> 0:21:41.800
<v Speaker 1>and other substances that people are taking in It's just

0:21:42.000 --> 0:21:44.480
<v Speaker 1>like I mean, I'll say right now, like getting your

0:21:44.560 --> 0:21:48.720
<v Speaker 1>cortisol measured if you don't have symptoms of a cortisol

0:21:48.840 --> 0:21:53.960
<v Speaker 1>excess disease is you're unlikely to get any useful information.

0:21:54.640 --> 0:21:57.359
<v Speaker 3>So I think, okay, So when we talk about the

0:21:57.400 --> 0:22:00.760
<v Speaker 3>way to measure cortisol, actually measuring blood has both the

0:22:00.840 --> 0:22:03.560
<v Speaker 3>total and free fraction issue. It also has the issue

0:22:03.640 --> 0:22:07.080
<v Speaker 3>that when you take someone's blood, it raises their cortisol.

0:22:07.280 --> 0:22:08.280
<v Speaker 1>Yeah, because stressful.

0:22:08.359 --> 0:22:10.720
<v Speaker 3>It's like, it's stressful, like somebody's sticking a needle in

0:22:10.800 --> 0:22:12.560
<v Speaker 3>your arm and you're like, and it's a tiger, Like

0:22:12.680 --> 0:22:14.480
<v Speaker 3>I better get ready to run away.

0:22:14.520 --> 0:22:16.119
<v Speaker 2>It's not a tiger. You ask for that.

0:22:16.359 --> 0:22:19.480
<v Speaker 3>But as a result, like saliva is in some sense

0:22:19.600 --> 0:22:23.160
<v Speaker 3>the sort of best metric of this at a moment,

0:22:23.200 --> 0:22:26.440
<v Speaker 3>because it's not stressful to take someone's saliva. But the

0:22:26.560 --> 0:22:28.879
<v Speaker 3>thing that I wonder is why, you know we have

0:22:29.040 --> 0:22:33.359
<v Speaker 3>continuous glucose monitors. Why has someone not made something that

0:22:33.480 --> 0:22:34.920
<v Speaker 3>I stick in my You could put it on his

0:22:35.000 --> 0:22:38.040
<v Speaker 3>zin pouch, something I stick in my mouth and leave

0:22:38.080 --> 0:22:40.520
<v Speaker 3>in my mouth all the time, on like the side

0:22:40.560 --> 0:22:43.280
<v Speaker 3>of my cheek, and then it constantly measures my quarter cel.

0:22:43.320 --> 0:22:45.440
<v Speaker 3>Don't you think Brian Johnson would buy that in like

0:22:45.560 --> 0:22:48.240
<v Speaker 3>one hot second, Like why is the market not delivering

0:22:48.280 --> 0:22:48.720
<v Speaker 3>that Perry.

0:22:48.800 --> 0:22:52.159
<v Speaker 1>What's the problem, No doubt people are pitching that in

0:22:52.240 --> 0:22:53.880
<v Speaker 1>Silicon Valley right now.

0:22:54.560 --> 0:22:58.280
<v Speaker 3>Call me, call me VC funds. We're gonna measure the

0:22:58.400 --> 0:23:01.640
<v Speaker 3>cortisol with our mouths stick stick.

0:23:02.280 --> 0:23:05.639
<v Speaker 1>I think two things. One, cortisol is complicated to measure.

0:23:05.800 --> 0:23:09.440
<v Speaker 1>It's you know, it's a it's a hormone. It's it's

0:23:09.520 --> 0:23:12.920
<v Speaker 1>it's a bigger molecule than something like glucose, which is

0:23:12.960 --> 0:23:14.800
<v Speaker 1>small and easy to measure. And then the second thing

0:23:14.840 --> 0:23:16.720
<v Speaker 1>is that nobody knows what to do with the answer.

0:23:17.080 --> 0:23:18.639
<v Speaker 1>I could tell you what your cortisol is.

0:23:18.800 --> 0:23:20.680
<v Speaker 3>That's not the answer. I'm sorry, that's not the answer

0:23:20.720 --> 0:23:22.880
<v Speaker 3>to why they're constantly met. People love to measure stuff

0:23:22.960 --> 0:23:24.760
<v Speaker 3>or something to do it. The first answer was right, Scott,

0:23:24.760 --> 0:23:25.760
<v Speaker 3>you should have stopped at that one.

0:23:26.359 --> 0:23:28.920
<v Speaker 1>Okay, we will erase the second. Now it's fine. I

0:23:28.960 --> 0:23:29.800
<v Speaker 1>can be wrong sometimes.

0:23:30.160 --> 0:23:33.400
<v Speaker 3>Okay, So this is very hard to measure, and we'll

0:23:33.440 --> 0:23:36.200
<v Speaker 3>get into like why that probably means you shouldn't you

0:23:36.240 --> 0:23:39.840
<v Speaker 3>shouldn't measure it. But despite its difficulty in measuring, there

0:23:40.160 --> 0:23:44.399
<v Speaker 3>is actually a fair amount of research on the relationship

0:23:44.480 --> 0:23:47.359
<v Speaker 3>between cortisol measured in some way. We will get to

0:23:47.600 --> 0:23:52.200
<v Speaker 3>and various health outcomes, and I will just like spoiler,

0:23:52.680 --> 0:23:55.840
<v Speaker 3>I think most of this literature is really bad and

0:23:56.119 --> 0:23:58.680
<v Speaker 3>it is observational and not causal, and I have a

0:23:58.760 --> 0:24:01.800
<v Speaker 3>lot of complaints about it, and I've been practicing my complaints.

0:24:01.920 --> 0:24:05.720
<v Speaker 3>But before we get into them, I do think it's

0:24:05.760 --> 0:24:07.879
<v Speaker 3>worth talking like a little bit more. You alluded to

0:24:08.480 --> 0:24:13.480
<v Speaker 3>Cushings disease, but a little bit more about the places

0:24:13.560 --> 0:24:18.240
<v Speaker 3>where high cortisol can actually be very damaging.

0:24:17.920 --> 0:24:20.119
<v Speaker 2>Or we know that this is a this is a problem.

0:24:20.440 --> 0:24:23.200
<v Speaker 1>Yeah, we should talk about Cushing's disease because actually a

0:24:23.280 --> 0:24:28.920
<v Speaker 1>lot of the influencer work is taking what people see

0:24:28.920 --> 0:24:31.680
<v Speaker 1>in Cushions disease where cortisol levels are through the roof

0:24:32.160 --> 0:24:36.840
<v Speaker 1>and saying therefore, mildly elevated cortisol levels and normal people

0:24:36.920 --> 0:24:39.320
<v Speaker 1>also do this thing. And so so what Cushing's disease

0:24:39.440 --> 0:24:43.399
<v Speaker 1>is is a benign tumor, typically on the adrenal gland

0:24:43.920 --> 0:24:48.800
<v Speaker 1>that secretes cortisol. It is unregulated, so it's sitting there

0:24:48.960 --> 0:24:51.760
<v Speaker 1>and it's just secreting cortisols, secreting cortisols, secreting cortisol, and

0:24:51.760 --> 0:24:55.040
<v Speaker 1>that is quite bad for you. The syndrome of Cushing

0:24:55.080 --> 0:24:59.159
<v Speaker 1>syndrome is characterized by pretty dramatic moon faces. What they

0:24:59.240 --> 0:25:01.440
<v Speaker 1>call it the very round face that you may be

0:25:01.520 --> 0:25:03.480
<v Speaker 1>familiar with if you see people on very high dose

0:25:03.640 --> 0:25:07.440
<v Speaker 1>of other cotquot steroids like predmozone. Sorry about these terms,

0:25:07.480 --> 0:25:09.800
<v Speaker 1>but this is what the medical terms are. A buffalo hump,

0:25:09.880 --> 0:25:12.520
<v Speaker 1>which is like a collection of fat on the upper

0:25:12.600 --> 0:25:14.600
<v Speaker 1>part of the back at the bottom of the neck,

0:25:15.600 --> 0:25:20.879
<v Speaker 1>strea which are really violacious, like deep purple stretch marks

0:25:21.119 --> 0:25:26.080
<v Speaker 1>in the abdomen, a lot of accumulation of visceral fat, diabetes,

0:25:26.600 --> 0:25:29.720
<v Speaker 1>high blood sugar, and so on and so forth. The

0:25:29.840 --> 0:25:34.199
<v Speaker 1>treatment is removal of the cortisol secreting tumor, and.

0:25:34.280 --> 0:25:36.159
<v Speaker 3>I think it is it's actually very important to note

0:25:36.200 --> 0:25:37.880
<v Speaker 3>because some of the things we see in the sort

0:25:37.880 --> 0:25:41.240
<v Speaker 3>of wellness influencer claim space are things that seem like, well,

0:25:41.480 --> 0:25:44.440
<v Speaker 3>if you have this cushions disease, you will have this,

0:25:45.320 --> 0:25:50.240
<v Speaker 3>and therefore, if you have a mildly elevated level of

0:25:50.640 --> 0:25:54.520
<v Speaker 3>cortisol in the normal range, you also get less maybe less.

0:25:54.359 --> 0:25:57.760
<v Speaker 1>Belly fat, but still some belly fat, right right, And

0:25:57.840 --> 0:26:01.440
<v Speaker 1>that has that nice sort of like step by step

0:26:01.520 --> 0:26:03.960
<v Speaker 1>ring to it. But if you've been listening to Onelm's actually,

0:26:03.960 --> 0:26:06.280
<v Speaker 1>you know, you actually have to prove these things with data.

0:26:07.000 --> 0:26:09.440
<v Speaker 1>So let's talk about data. I mean, I you know,

0:26:09.880 --> 0:26:15.160
<v Speaker 1>there are clearly cases where cortisol high cortisol levels are

0:26:15.760 --> 0:26:17.840
<v Speaker 1>bad for you. I mean maybe the most dramatic one

0:26:17.960 --> 0:26:21.560
<v Speaker 1>is in sepsis in septic shock, where it is fairly

0:26:21.640 --> 0:26:24.399
<v Speaker 1>well established that if people are coming in with very

0:26:24.480 --> 0:26:26.639
<v Speaker 1>high cortisol levels in the setting of sepsis, they're more

0:26:26.760 --> 0:26:29.439
<v Speaker 1>likely to die. It's a nice study in PLUS one

0:26:29.520 --> 0:26:32.359
<v Speaker 1>in twenty nineteen that took one hundred and thirty nine

0:26:32.440 --> 0:26:36.679
<v Speaker 1>patients with severe sepsis or septic shock, and those who

0:26:36.760 --> 0:26:41.320
<v Speaker 1>had cortisol levels that were high by their definition had

0:26:41.359 --> 0:26:47.560
<v Speaker 1>a tenfold higher mortality risk. It's a pretty large effects size. Now, Emily,

0:26:47.960 --> 0:26:51.000
<v Speaker 1>that's not a causal step, as you said, that's observational.

0:26:51.359 --> 0:26:53.720
<v Speaker 1>So walk me through like why, yeah, is it the

0:26:53.760 --> 0:26:55.399
<v Speaker 1>cortisol that's bad or what are you thinking when you

0:26:55.520 --> 0:26:58.800
<v Speaker 1>hear Okay, high cortisol tenfold risk of death in septic shock.

0:26:58.920 --> 0:27:01.720
<v Speaker 3>Yeah, So I I think sort of two things in

0:27:01.800 --> 0:27:05.240
<v Speaker 3>that case, which will come up again later. So one

0:27:05.400 --> 0:27:08.840
<v Speaker 3>is that, yeah, this is not a randomized the cortisol

0:27:09.440 --> 0:27:11.560
<v Speaker 3>some people came in with a higher level of cortisol

0:27:11.600 --> 0:27:15.159
<v Speaker 3>than others. It seems plausible to me that that is

0:27:15.280 --> 0:27:19.119
<v Speaker 3>measuring something else about, you know, how stressful, like what

0:27:19.240 --> 0:27:22.200
<v Speaker 3>else is going on in your life? Or even like

0:27:22.400 --> 0:27:25.080
<v Speaker 3>how bad is this sepsis? I realize all sepsis is bad.

0:27:25.880 --> 0:27:28.840
<v Speaker 3>Sepsis is not good, but sort of like, could you

0:27:29.040 --> 0:27:31.480
<v Speaker 3>read this as this is is kind of a metric

0:27:31.560 --> 0:27:34.679
<v Speaker 3>itself of how much is the body struggling in other ways?

0:27:35.119 --> 0:27:36.760
<v Speaker 2>And this is just one measure of that.

0:27:37.560 --> 0:27:39.680
<v Speaker 3>I will say in this particular case, the fact that

0:27:39.720 --> 0:27:42.520
<v Speaker 3>the odds ratio is ten, which means like the mortality

0:27:42.640 --> 0:27:44.680
<v Speaker 3>risk is ten times as high, that's actually a quite

0:27:45.400 --> 0:27:48.640
<v Speaker 3>that's a very big effect. It is Therefore, the kinds

0:27:48.680 --> 0:27:51.560
<v Speaker 3>of biases I have in my mind, like differences in

0:27:51.760 --> 0:27:54.240
<v Speaker 3>other things that could be going on in people's lives

0:27:54.280 --> 0:27:57.960
<v Speaker 3>and so on, probably aren't driving a tenfold increase in mortality.

0:27:58.119 --> 0:28:03.920
<v Speaker 3>So the comp nation here of the particular outcome which

0:28:04.000 --> 0:28:06.800
<v Speaker 3>is so extreme and how large the effect size is,

0:28:07.000 --> 0:28:09.919
<v Speaker 3>would makes me more confident in that result, even though

0:28:09.960 --> 0:28:11.680
<v Speaker 3>I think it would be better to have a randomization.

0:28:11.720 --> 0:28:13.800
<v Speaker 3>Although this is a case in which I cannot imagine

0:28:14.119 --> 0:28:17.720
<v Speaker 3>how you would randomize people to different cortosol levels. That's

0:28:17.760 --> 0:28:20.159
<v Speaker 3>not really an available randomization, which is why we're going

0:28:20.240 --> 0:28:23.320
<v Speaker 3>to generally nature rely on observational data.

0:28:24.160 --> 0:28:27.760
<v Speaker 1>Yeah. Yeah. And for the medical people listening who trained

0:28:27.800 --> 0:28:29.520
<v Speaker 1>back when I did, there was a time when we

0:28:29.640 --> 0:28:32.840
<v Speaker 1>gave people cortisol or other gluca cortoicoids when they had

0:28:32.880 --> 0:28:36.119
<v Speaker 1>sepsis because we thought, oh, all this inflammation is the

0:28:36.200 --> 0:28:38.960
<v Speaker 1>bat like, their immune system's going crazy. We need to

0:28:39.000 --> 0:28:41.200
<v Speaker 1>suppress their immune system a little bit. That was standard

0:28:41.240 --> 0:28:43.880
<v Speaker 1>of care for a while. No longer really do that

0:28:43.920 --> 0:28:47.000
<v Speaker 1>except in rare circumstances, and so it is quite complicated.

0:28:47.080 --> 0:28:49.640
<v Speaker 1>And I think, you know, it's certainly possible that a

0:28:49.720 --> 0:28:52.080
<v Speaker 1>large amount of that observed effects size is just due

0:28:52.080 --> 0:28:54.120
<v Speaker 1>to the fact that really sick people have really high

0:28:54.160 --> 0:28:58.120
<v Speaker 1>cortosol potentially, but most people who are listening to us

0:28:58.240 --> 0:29:00.320
<v Speaker 1>are not current lead.

0:29:01.760 --> 0:29:04.840
<v Speaker 2>Shop. Yeah, stop listening. If that's you are hanging.

0:29:04.640 --> 0:29:05.160
<v Speaker 4>There, and.

0:29:07.480 --> 0:29:09.520
<v Speaker 1>Maybe we're the one thing keeping them, you know, seeing

0:29:09.600 --> 0:29:12.720
<v Speaker 1>in the hospital bed. We're not all right, we believe

0:29:12.760 --> 0:29:12.920
<v Speaker 1>in you.

0:29:13.360 --> 0:29:19.440
<v Speaker 3>Most people are worried about the idea that a chronically

0:29:19.560 --> 0:29:23.240
<v Speaker 3>elevated or frequently elevated level of cortisol or just having

0:29:23.320 --> 0:29:26.280
<v Speaker 3>high cortisol whatever people seem to mean by that, is

0:29:26.440 --> 0:29:30.600
<v Speaker 3>bad for some health outcome, like heart disease being the

0:29:30.720 --> 0:29:32.120
<v Speaker 3>sort of the one you should start with.

0:29:32.120 --> 0:29:34.240
<v Speaker 2>It's the one that comes up the most. And so

0:29:34.800 --> 0:29:36.560
<v Speaker 2>this is a place where there is some.

0:29:36.720 --> 0:29:38.640
<v Speaker 3>Data, and i want you to describe the data, and

0:29:38.720 --> 0:29:40.560
<v Speaker 3>then I'm going to tell you my feelings on it,

0:29:41.280 --> 0:29:41.920
<v Speaker 3>why it's wrong.

0:29:42.560 --> 0:29:45.360
<v Speaker 1>I'll set you up in the best way I know how. Okay,

0:29:46.280 --> 0:29:50.320
<v Speaker 1>I'm going to give you two studies here. One is

0:29:50.400 --> 0:29:52.600
<v Speaker 1>sort of a prototypical. There's other studies in this space

0:29:53.000 --> 0:29:55.960
<v Speaker 1>looking at urinary cortisol. Gosh, we didn't even mention that's

0:29:56.080 --> 0:29:58.680
<v Speaker 1>there's yet another place you can measure cortisol. You can

0:29:58.720 --> 0:30:00.880
<v Speaker 1>measure it in the urine and then the risk of

0:30:01.280 --> 0:30:04.720
<v Speaker 1>cardiovascular mortality. This was from the Journal of Clinical Endocritinology

0:30:04.760 --> 0:30:07.880
<v Speaker 1>and Metabolism. That's a good journal. Twenty ten, eight hundred

0:30:07.880 --> 0:30:10.520
<v Speaker 1>and sixty one participants above age sixty five. They got

0:30:10.600 --> 0:30:13.800
<v Speaker 1>twenty four hour urine cortisol levels at baseline, followed them

0:30:13.840 --> 0:30:17.120
<v Speaker 1>for six years. Over the course of that time, people

0:30:17.400 --> 0:30:21.120
<v Speaker 1>in the highest turtile, so the highest third of urinary

0:30:21.160 --> 0:30:23.520
<v Speaker 1>cortisol levels had five times the risk of dying in

0:30:23.560 --> 0:30:29.600
<v Speaker 1>cardiovascular disease, but there's no difference in depths from other causes.

0:30:29.640 --> 0:30:34.600
<v Speaker 1>So there's a big effect size fivefold from higher cortisol levels.

0:30:35.320 --> 0:30:38.000
<v Speaker 1>I told you I'd give you one other study just

0:30:38.080 --> 0:30:42.440
<v Speaker 1>to give you something to talk about. So nope, I'm not.

0:30:42.560 --> 0:30:45.400
<v Speaker 1>I'm going to wait on the Mendelian randomization because it's

0:30:45.440 --> 0:30:47.640
<v Speaker 1>going to require some explanations. So let's start with this.

0:30:47.920 --> 0:30:50.120
<v Speaker 1>My urinary cortisol is in the top third of people's

0:30:50.160 --> 0:30:52.239
<v Speaker 1>urinary cortisol. I have fivefold the risk of dying from

0:30:52.280 --> 0:30:54.960
<v Speaker 1>cardiovascular disease in the next six years. Sounds pretty bad.

0:30:55.560 --> 0:30:58.160
<v Speaker 1>Got to get my cortisol down, okay, I mean.

0:30:58.320 --> 0:31:03.240
<v Speaker 3>Look, here are some things that raise people's cortisol. Being poor,

0:31:04.000 --> 0:31:08.840
<v Speaker 3>working at night, having few resources, having a stressful family life,

0:31:09.520 --> 0:31:13.880
<v Speaker 3>having other diseases, things like that. All of those things

0:31:14.120 --> 0:31:19.280
<v Speaker 3>are independently associated with death from heart disease. We know

0:31:19.440 --> 0:31:23.880
<v Speaker 3>that like a million different ways, exercise causes you to

0:31:23.960 --> 0:31:28.320
<v Speaker 3>be less dying rate lowers your cortisol. Overall, all of

0:31:28.440 --> 0:31:31.640
<v Speaker 3>these things are going on in the background. And if

0:31:31.680 --> 0:31:33.480
<v Speaker 3>you look at the people in this study and you

0:31:33.600 --> 0:31:36.160
<v Speaker 3>look at the tersiles, they differ in a bunch of

0:31:36.320 --> 0:31:42.240
<v Speaker 3>different ways from each other, and it is therefore extremely

0:31:42.360 --> 0:31:48.200
<v Speaker 3>difficult to imagine that we are attributing this difference in

0:31:48.320 --> 0:31:53.120
<v Speaker 3>the risk of death to these levels of cortisol as

0:31:53.160 --> 0:31:56.200
<v Speaker 3>opposed to attributing them to these other things. Now, this

0:31:56.400 --> 0:31:58.040
<v Speaker 3>is a case in which actually the whole thing is

0:31:58.200 --> 0:32:00.920
<v Speaker 3>very complicated, because, well, maybe it's these other things raising

0:32:00.960 --> 0:32:03.600
<v Speaker 3>your cortisol, which is then causing you to you know,

0:32:04.160 --> 0:32:05.560
<v Speaker 3>have a higher risk of death.

0:32:05.640 --> 0:32:07.040
<v Speaker 2>That's an interesting mechanism.

0:32:07.160 --> 0:32:09.280
<v Speaker 3>But if you ask, like, what's the act like, what's

0:32:09.320 --> 0:32:12.320
<v Speaker 3>the action item here, what's the like thing that would

0:32:12.520 --> 0:32:13.760
<v Speaker 3>it's changing these other things.

0:32:13.800 --> 0:32:15.320
<v Speaker 2>It's not like if you gave someone.

0:32:15.120 --> 0:32:17.720
<v Speaker 3>A shot that magically lowered their cortisol that would have

0:32:18.360 --> 0:32:21.680
<v Speaker 3>this positive impact on them. These results are also this

0:32:21.760 --> 0:32:25.280
<v Speaker 3>sample is quite small, not that many people died, which

0:32:25.360 --> 0:32:29.360
<v Speaker 3>is good, and the therefore this sort of hazard ratio

0:32:29.480 --> 0:32:32.880
<v Speaker 3>of five is like incredibly noisy. It's consistent with an

0:32:32.880 --> 0:32:35.800
<v Speaker 3>effect that's two, it's consistent with an effect of thirteen times,

0:32:35.840 --> 0:32:38.000
<v Speaker 3>which is definitely not true. It's just this is a

0:32:38.080 --> 0:32:43.280
<v Speaker 3>statistically noisy, very potentially biased effect.

0:32:44.160 --> 0:32:48.040
<v Speaker 2>I just I don't think we learn anything from studies

0:32:48.120 --> 0:32:50.000
<v Speaker 2>like this. I just think we learned nothing.

0:32:50.400 --> 0:32:55.080
<v Speaker 1>So I completely agree that there's all this stuff that

0:32:55.120 --> 0:32:58.680
<v Speaker 1>can affect your cortisol that might also independently affect your

0:32:58.760 --> 0:33:01.480
<v Speaker 1>risk of death. Right we know in America at least

0:33:01.560 --> 0:33:04.520
<v Speaker 1>being poor dramatically increases your risk of dying from Christ and.

0:33:04.520 --> 0:33:07.400
<v Speaker 2>Also dramatically increases so yeah.

0:33:07.720 --> 0:33:11.480
<v Speaker 1>So so okay, that's classic confounding. The problem is, you know,

0:33:11.600 --> 0:33:13.520
<v Speaker 1>we all love a randomized trial, but no one's going

0:33:13.560 --> 0:33:16.160
<v Speaker 1>to do a randomized trial of like supplemental cortisol on

0:33:16.280 --> 0:33:20.000
<v Speaker 1>people that's not going to happen. Probably would be considered unethical.

0:33:20.440 --> 0:33:23.800
<v Speaker 1>So we're left with some other options, and I think

0:33:24.160 --> 0:33:27.440
<v Speaker 1>I think we need to talk about Mendelian randomization. Okay,

0:33:27.920 --> 0:33:31.120
<v Speaker 1>so let's put on our genetic hats for a second.

0:33:31.440 --> 0:33:35.160
<v Speaker 1>I sort of believe in Mendelian randomization as an approach,

0:33:35.240 --> 0:33:37.520
<v Speaker 1>and Emily, I think you are more skeptical of it.

0:33:37.640 --> 0:33:40.160
<v Speaker 1>So I'm gonna let me tell you how I view it,

0:33:40.480 --> 0:33:42.560
<v Speaker 1>and then you tell me why I'm wrong. Okay, here's

0:33:42.600 --> 0:33:48.200
<v Speaker 1>the idea. There are certain genes that increase the amount

0:33:48.200 --> 0:33:51.920
<v Speaker 1>of cortisol you make independent of other things. Genes that

0:33:52.120 --> 0:33:54.720
<v Speaker 1>have to do with hormone synthesis and stuff, and everyone

0:33:54.800 --> 0:33:57.000
<v Speaker 1>has little variations in their genes, and some are just

0:33:57.120 --> 0:33:59.680
<v Speaker 1>a bit more active than others, and so all else

0:33:59.760 --> 0:34:03.920
<v Speaker 1>being equal, there are people who genetically live at a

0:34:04.040 --> 0:34:08.000
<v Speaker 1>higher cortisol level than a similar person who had a

0:34:08.080 --> 0:34:11.960
<v Speaker 1>different genetic background, so you know, and this is true

0:34:11.960 --> 0:34:13.879
<v Speaker 1>of everything, not just cortisol. Right, Like, there's some people

0:34:13.960 --> 0:34:16.360
<v Speaker 1>just genetically have a higher LDL than other people, and

0:34:16.400 --> 0:34:20.280
<v Speaker 1>some people have genetically lower LDL. Okay, because your genetics

0:34:20.280 --> 0:34:28.440
<v Speaker 1>are assigned at birth, not no, at conception. That exposure

0:34:28.560 --> 0:34:33.000
<v Speaker 1>happens before you know that you're poor, before you know

0:34:33.440 --> 0:34:35.880
<v Speaker 1>you have stress in your life, before anything else, it

0:34:35.960 --> 0:34:38.840
<v Speaker 1>cannot be related to that. The genetics are not related

0:34:38.920 --> 0:34:42.480
<v Speaker 1>to those things. Being poor doesn't change your DNA, right,

0:34:43.320 --> 0:34:46.799
<v Speaker 1>And therefore we can use those genetic signals and say, Okay,

0:34:46.880 --> 0:34:50.120
<v Speaker 1>here's a person whose genes have them exposed to a

0:34:50.239 --> 0:34:53.239
<v Speaker 1>higher level of cortisol than they otherwise would have been

0:34:54.080 --> 0:34:56.359
<v Speaker 1>given everything that's going on in their life. And here's

0:34:56.400 --> 0:34:59.440
<v Speaker 1>a person whose genes have their cortisol lower than they

0:34:59.480 --> 0:35:02.080
<v Speaker 1>otherwise would have been, giving everything that's going on in

0:35:02.160 --> 0:35:04.680
<v Speaker 1>our life. And if the person with the genes that

0:35:04.880 --> 0:35:07.200
<v Speaker 1>predispose them to high cortisol has a higher risk of

0:35:07.280 --> 0:35:10.239
<v Speaker 1>cardiovascular disease. Then the person whose genes predisposed them to

0:35:10.360 --> 0:35:14.840
<v Speaker 1>low cortisol. I conclude, therefore, there is a causal link

0:35:15.040 --> 0:35:18.640
<v Speaker 1>between cortisol level and cardiovascular disease.

0:35:19.440 --> 0:35:25.440
<v Speaker 3>The term Mendilion randomization implies that something is being randomized,

0:35:25.640 --> 0:35:27.880
<v Speaker 3>and so I think when we think about this technique,

0:35:28.560 --> 0:35:34.080
<v Speaker 3>we want to think about the word random. So what

0:35:34.239 --> 0:35:39.040
<v Speaker 3>you are suggesting is that the genes are allocated randomly,

0:35:39.480 --> 0:35:42.839
<v Speaker 3>that when you are given genes are there's a piece

0:35:42.880 --> 0:35:47.960
<v Speaker 3>of the genetics that are coming randomly to you. That

0:35:48.200 --> 0:35:52.320
<v Speaker 3>is not true when comparing across people in the population overall.

0:35:52.520 --> 0:35:55.360
<v Speaker 3>So let me give you a more like direct example

0:35:55.440 --> 0:35:58.520
<v Speaker 3>of this. Imagine that instead of cortisol, we were thinking

0:35:58.719 --> 0:36:02.120
<v Speaker 3>about eye color and you said, there's a gene that

0:36:02.280 --> 0:36:04.480
<v Speaker 3>determines your that determines your eye color. In fact, there

0:36:04.560 --> 0:36:06.279
<v Speaker 3>is a gene that determines your eye color. There's a

0:36:06.320 --> 0:36:10.600
<v Speaker 3>set of genes. We understand about how those work, but

0:36:10.880 --> 0:36:14.319
<v Speaker 3>it is not when we look across the population, those

0:36:14.400 --> 0:36:17.640
<v Speaker 3>genes are not randomly distributed. It's not like randomly when

0:36:17.680 --> 0:36:21.160
<v Speaker 3>you're conceived you are given one of the eye color genes.

0:36:21.239 --> 0:36:24.040
<v Speaker 3>It's random only conditional on the genes.

0:36:23.719 --> 0:36:24.600
<v Speaker 2>That your parents have.

0:36:25.440 --> 0:36:28.279
<v Speaker 3>So you have a set of parents, and you have

0:36:28.600 --> 0:36:31.520
<v Speaker 3>your mom has a set of twenty three chromosomes. She

0:36:31.600 --> 0:36:35.640
<v Speaker 3>has two copies of each, and at conception in the egg,

0:36:36.040 --> 0:36:38.439
<v Speaker 3>you get one of those and which one you get

0:36:38.719 --> 0:36:42.880
<v Speaker 3>is random. But who your mother is, the genetics that

0:36:43.000 --> 0:36:47.000
<v Speaker 3>she starts with is not random. So when we talk

0:36:47.040 --> 0:36:51.080
<v Speaker 3>about Mendolian randomization, there's something cool, a cool idea in here.

0:36:51.680 --> 0:36:54.880
<v Speaker 3>I want you to imagine two children born to the

0:36:54.960 --> 0:36:58.800
<v Speaker 3>same set of parents, and mom has two copies of

0:36:59.000 --> 0:37:01.839
<v Speaker 3>each chromosome, and on one of those chromosomes she's got

0:37:01.880 --> 0:37:05.080
<v Speaker 3>like the high cortisol gene, and on the other copy

0:37:05.200 --> 0:37:09.960
<v Speaker 3>she's got the low cortisol gene. And her children, let's

0:37:09.960 --> 0:37:12.440
<v Speaker 3>say one of them gets the high cortisol, one of

0:37:12.480 --> 0:37:15.759
<v Speaker 3>them gets the low cortisol. That's random, and so then

0:37:15.840 --> 0:37:20.600
<v Speaker 3>we have two siblings who are effectively everything is, you know,

0:37:20.880 --> 0:37:23.680
<v Speaker 3>the same, except that in this case this particular thing

0:37:23.800 --> 0:37:28.359
<v Speaker 3>is randomly allocated. Wait, and so you could then get

0:37:28.480 --> 0:37:32.280
<v Speaker 3>many sibling pairs like that, and say, conditional on your family,

0:37:32.480 --> 0:37:38.520
<v Speaker 3>controlling for your parentage. Comparing you to your siblings. We're

0:37:38.560 --> 0:37:41.759
<v Speaker 3>going to see whether the sibling who was randomly allocated

0:37:41.800 --> 0:37:45.520
<v Speaker 3>the high cortisol gene has worse outcomes than the sibling

0:37:45.600 --> 0:37:48.920
<v Speaker 3>that was not randomly allocated. That's a really cool idea

0:37:49.400 --> 0:37:52.200
<v Speaker 3>that uses genetics and randomizes.

0:37:52.960 --> 0:37:55.320
<v Speaker 1>Do you agree? Yeah? All I wanted to say was

0:37:55.360 --> 0:37:57.840
<v Speaker 1>that in my mind, one of these kids is named

0:37:58.000 --> 0:38:00.000
<v Speaker 1>Gene and the other is named.

0:38:01.880 --> 0:38:05.479
<v Speaker 2>I love that so much. Okay, but what okay?

0:38:05.560 --> 0:38:10.879
<v Speaker 3>So that technique, that technique works like, that works sort

0:38:10.920 --> 0:38:12.719
<v Speaker 3>of in concept the way I've described it, and there

0:38:12.719 --> 0:38:15.880
<v Speaker 3>are some actually some issues with using that technique in practice,

0:38:15.920 --> 0:38:20.359
<v Speaker 3>but at least in principle, there is a real randomization there.

0:38:21.120 --> 0:38:21.960
<v Speaker 2>Here is the problem.

0:38:22.480 --> 0:38:25.759
<v Speaker 3>The studies that are being done that are using a

0:38:25.880 --> 0:38:29.640
<v Speaker 3>technique they are referring to as Mendillion randomization do not

0:38:29.880 --> 0:38:33.600
<v Speaker 3>actually do what I just described. Instead, what they do

0:38:33.960 --> 0:38:37.000
<v Speaker 3>is they don't look within sibling pairs. They look just

0:38:37.200 --> 0:38:42.440
<v Speaker 3>across people in the population. And that is ridiculous because

0:38:42.760 --> 0:38:46.560
<v Speaker 3>genetics are not randomly allocated across people in the population.

0:38:46.719 --> 0:38:49.200
<v Speaker 3>I mean, an equivalent thing is if you said, well,

0:38:49.600 --> 0:38:52.560
<v Speaker 3>I'm interested in the impact of race on something, and

0:38:52.680 --> 0:38:54.719
<v Speaker 3>I don't think I can just look at people's race,

0:38:54.800 --> 0:38:56.759
<v Speaker 3>because that's confounded with all kinds of other things. But

0:38:56.800 --> 0:38:58.520
<v Speaker 3>I'm going to look at a gene for skin color

0:38:58.520 --> 0:39:00.920
<v Speaker 3>and I'm going to relate that to the out Well,

0:39:00.960 --> 0:39:02.160
<v Speaker 3>that's stupid, that's not like.

0:39:02.200 --> 0:39:04.200
<v Speaker 2>Doesn't make any sense. It doesn't work.

0:39:04.719 --> 0:39:07.560
<v Speaker 3>And so this this technique is not being it's not

0:39:07.680 --> 0:39:10.640
<v Speaker 3>that it's conceptually poor, it's being used in a way

0:39:10.719 --> 0:39:11.520
<v Speaker 3>that makes no sense.

0:39:12.160 --> 0:39:15.799
<v Speaker 1>Well, so the there is a caveat to Mendelian randomization.

0:39:16.040 --> 0:39:18.400
<v Speaker 1>So to take your skin color example, which says that

0:39:18.719 --> 0:39:21.160
<v Speaker 1>in order to use this technique, you have to show

0:39:21.200 --> 0:39:24.680
<v Speaker 1>that the gene is associated with the phenotype. Right, So

0:39:24.760 --> 0:39:27.800
<v Speaker 1>the gene is associated with skin color, let's say, and

0:39:28.480 --> 0:39:31.800
<v Speaker 1>the gene is associated with the outcome, but the gene

0:39:32.800 --> 0:39:37.160
<v Speaker 1>is not associated with the outcome through any plausible path

0:39:37.440 --> 0:39:42.520
<v Speaker 1>outside of the phenotype. So there is like some statistical

0:39:42.640 --> 0:39:43.520
<v Speaker 1>testing you can may for that.

0:39:43.640 --> 0:39:45.200
<v Speaker 2>Yeah, that's called the exclusion restriction.

0:39:45.920 --> 0:39:48.880
<v Speaker 3>And in the cases that you've described, where we're comparing,

0:39:49.480 --> 0:39:53.399
<v Speaker 3>say to people with different genetics across different families, where

0:39:53.840 --> 0:39:56.319
<v Speaker 3>for example, one of them is born to a set

0:39:56.360 --> 0:39:58.960
<v Speaker 3>of parents who have high cortisol and one of them

0:39:59.000 --> 0:40:00.719
<v Speaker 3>is born to a set of parents with low cortisol.

0:40:01.239 --> 0:40:03.800
<v Speaker 3>Now your exclusion restriction is failed, and so that just

0:40:03.880 --> 0:40:06.759
<v Speaker 3>doesn't work. So I think you're right, there is a

0:40:07.000 --> 0:40:09.600
<v Speaker 3>thing and it's totally failing, and these guys don't seem

0:40:09.600 --> 0:40:10.200
<v Speaker 3>to understand that.

0:40:11.520 --> 0:40:13.839
<v Speaker 2>I just don't understand. I fundamentally perry.

0:40:13.920 --> 0:40:17.200
<v Speaker 3>This is like drives me crazy because people in medicine

0:40:17.320 --> 0:40:19.359
<v Speaker 3>use this technique all the time, and I just think

0:40:19.400 --> 0:40:21.600
<v Speaker 3>they don't understand what they're doing, and I can't understand

0:40:21.600 --> 0:40:22.560
<v Speaker 3>why they don't understand.

0:40:23.239 --> 0:40:25.880
<v Speaker 1>Let me give you the results of the cortisol Mendelian

0:40:25.960 --> 0:40:28.960
<v Speaker 1>randomization because maybe this is a moot point. Okay, So

0:40:29.160 --> 0:40:33.359
<v Speaker 1>in the observational framework, we've seen that a high level

0:40:33.360 --> 0:40:35.960
<v Speaker 1>of cortisol increases your risk of cardiovascular death by five

0:40:36.120 --> 0:40:41.600
<v Speaker 1>hundred percent. Okay. In the Mendelian randomization analysis, genes predisposing

0:40:41.719 --> 0:40:45.960
<v Speaker 1>high cortisol increase the risk of cardiovascular death by eight percent.

0:40:46.480 --> 0:40:48.160
<v Speaker 2>Right, I mean, okay.

0:40:48.440 --> 0:40:52.360
<v Speaker 3>So one thing is if you think what Mendelian randomization

0:40:52.520 --> 0:40:56.719
<v Speaker 3>is doing is fixing your causality problem, then I think

0:40:56.760 --> 0:40:59.000
<v Speaker 3>what you would say, Okay, now we've got a better result,

0:40:59.040 --> 0:41:02.480
<v Speaker 3>and it's basically zero like it's it does basically doesn't.

0:41:02.200 --> 0:41:03.840
<v Speaker 1>Matter, does not suggest causality.

0:41:03.920 --> 0:41:08.479
<v Speaker 3>I will say, I think counter counter example, as I've noted,

0:41:08.520 --> 0:41:11.399
<v Speaker 3>I don't think the Mendelian randomization really makes any sense

0:41:11.400 --> 0:41:11.680
<v Speaker 3>at all.

0:41:12.400 --> 0:41:15.080
<v Speaker 2>And part of the reason that the effect I think

0:41:15.160 --> 0:41:15.600
<v Speaker 2>is much.

0:41:15.560 --> 0:41:20.640
<v Speaker 3>Smaller is because the genes are identifying have very little

0:41:20.719 --> 0:41:25.239
<v Speaker 3>predictive power on actually having high cortisol, and so like

0:41:25.719 --> 0:41:28.080
<v Speaker 3>just these these genes are not have very high penetrants,

0:41:28.600 --> 0:41:32.160
<v Speaker 3>and so this may be failing and giving you a

0:41:32.280 --> 0:41:34.719
<v Speaker 3>very small number for reasons that kind of have nothing

0:41:34.760 --> 0:41:36.960
<v Speaker 3>to do with getting rid of bias. They may just

0:41:37.120 --> 0:41:39.800
<v Speaker 3>be generating noise. I hate this technique.

0:41:39.800 --> 0:41:44.439
<v Speaker 2>I understand that I'm being like and talking about I hate.

0:41:45.440 --> 0:41:49.600
<v Speaker 1>I just that's fine. We can't randomize people to high cortisol.

0:41:49.719 --> 0:41:53.080
<v Speaker 1>We can't supplement them with cortisol or placebo, so we're stuck.

0:41:53.239 --> 0:41:55.799
<v Speaker 1>We have to make some inferences. But I will say

0:41:56.160 --> 0:41:59.080
<v Speaker 1>that based on this data, it's there's not a compelling

0:41:59.360 --> 0:42:02.480
<v Speaker 1>argument high cortisol level in and of itself is causal

0:42:02.640 --> 0:42:03.840
<v Speaker 1>of cardiovascular disease.

0:42:04.360 --> 0:42:06.600
<v Speaker 2>I totally that. I think we totally agree.

0:42:07.120 --> 0:42:09.240
<v Speaker 3>I think your question about give me a better technique

0:42:09.239 --> 0:42:11.960
<v Speaker 3>is an interesting one. I mean, I do think a

0:42:12.120 --> 0:42:15.839
<v Speaker 3>true Mendelian randomization with a sort of a sibling pairastudy

0:42:16.239 --> 0:42:18.960
<v Speaker 3>would be an interesting thing to explore. It could have

0:42:19.040 --> 0:42:20.839
<v Speaker 3>some other problems, but I think that would be something

0:42:20.920 --> 0:42:25.320
<v Speaker 3>interesting to explore. I agree this is a very difficult problem.

0:42:25.760 --> 0:42:28.480
<v Speaker 3>I think one thing you could imagine randomizing if you

0:42:28.600 --> 0:42:31.800
<v Speaker 3>sort of at least in a short term way, is

0:42:32.000 --> 0:42:35.080
<v Speaker 3>you know, some of the kind of like behavioral techniques

0:42:35.120 --> 0:42:39.160
<v Speaker 3>that might lower people's cortisol, like meditation. You can imagine

0:42:39.239 --> 0:42:41.640
<v Speaker 3>running a study where you're like one group gets like

0:42:41.640 --> 0:42:44.279
<v Speaker 3>a lot of meditation support or some other you know,

0:42:44.480 --> 0:42:46.600
<v Speaker 3>therapy something that would lower their cortisol.

0:42:47.719 --> 0:42:48.960
<v Speaker 2>It probably have other effects, so.

0:42:48.960 --> 0:42:50.680
<v Speaker 3>It's not like a great study, but I you know,

0:42:51.200 --> 0:42:54.400
<v Speaker 3>like it's something like that to try to affect people's cortisol.

0:42:54.440 --> 0:42:56.640
<v Speaker 2>I agree, we're not going to find anything, but doesn't

0:42:56.640 --> 0:42:57.719
<v Speaker 2>mean it's not interesting to.

0:42:58.120 --> 0:42:59.200
<v Speaker 1>Try to at least.

0:42:59.239 --> 0:43:02.239
<v Speaker 3>Luck. All right, let's get so sorry, I got so

0:43:02.320 --> 0:43:04.360
<v Speaker 3>exercise guy. I feel like people are going to be like,

0:43:04.520 --> 0:43:07.080
<v Speaker 3>why are you so exercised about this? But it's like,

0:43:07.160 --> 0:43:09.320
<v Speaker 3>this is my job, This is like a thing, this

0:43:09.480 --> 0:43:12.000
<v Speaker 3>is like the core of my of my like professional

0:43:12.080 --> 0:43:15.560
<v Speaker 3>life other than parenting. Writing is like statistical methods.

0:43:15.880 --> 0:43:20.560
<v Speaker 1>What you guys don't know is that Emily, Emily's first

0:43:20.640 --> 0:43:23.280
<v Speaker 1>boyfriend was a Mendelian randomization study.

0:43:23.640 --> 0:43:29.600
<v Speaker 4>So okay, I want to move rather quickly through the

0:43:29.760 --> 0:43:34.799
<v Speaker 4>other basically true stuff that the other stuff.

0:43:34.560 --> 0:43:36.440
<v Speaker 1>That people say that high cortisol does. If we're going

0:43:36.520 --> 0:43:39.800
<v Speaker 1>to write off cardiovascular disease, and again, guys, we're not

0:43:39.880 --> 0:43:42.840
<v Speaker 1>saying that there's no association between higher cortisol levels and

0:43:42.880 --> 0:43:45.360
<v Speaker 1>these things. We're asking is it the cortisol not the

0:43:45.520 --> 0:43:48.279
<v Speaker 1>like life stress and the other stuff. So I think

0:43:48.640 --> 0:43:52.080
<v Speaker 1>you know a big one is diabetes metabolic disease, right, Like,

0:43:52.360 --> 0:43:55.719
<v Speaker 1>we we certainly know that people with cushions syndrome much

0:43:55.800 --> 0:43:57.879
<v Speaker 1>high risk of diabetes. We know that when you put

0:43:57.920 --> 0:44:01.319
<v Speaker 1>people on steroids like prednozone or hyd you courtizona, their

0:44:01.360 --> 0:44:04.880
<v Speaker 1>blood sugar goes up. I was surprised here, Emily, Like,

0:44:05.239 --> 0:44:08.400
<v Speaker 1>there's a nice meta analysis of twenty one studies. This

0:44:08.960 --> 0:44:14.360
<v Speaker 1>is appearing in psycho Neeuroendrochronology. In twenty eighteen, eleven thousand

0:44:14.440 --> 0:44:17.560
<v Speaker 1>people or almost twelve thousand people, no significant difference in

0:44:17.640 --> 0:44:21.520
<v Speaker 1>basil cortisol levels between subjects with and without the metabolic syndrome,

0:44:21.840 --> 0:44:23.840
<v Speaker 1>which I just wouldn't have. And that's like, that's not

0:44:23.920 --> 0:44:26.000
<v Speaker 1>even a causal study. It's just I mean, I think

0:44:26.400 --> 0:44:27.080
<v Speaker 1>there's no link.

0:44:27.640 --> 0:44:28.759
<v Speaker 2>What's so interesting there is?

0:44:28.880 --> 0:44:32.080
<v Speaker 3>I might have I would have thought that that we

0:44:32.320 --> 0:44:34.799
<v Speaker 3>would see an association there just because of all these

0:44:34.840 --> 0:44:35.520
<v Speaker 3>other factors.

0:44:35.680 --> 0:44:38.080
<v Speaker 2>Totally, But it seems like even you know.

0:44:38.680 --> 0:44:41.400
<v Speaker 1>Even the confounding can't and the confounding can't.

0:44:41.160 --> 0:44:43.920
<v Speaker 2>Get you there somehow. Yeah, maybe that's that's hard to measure.

0:44:45.160 --> 0:44:47.880
<v Speaker 1>Let's do stubborn belly fat?

0:44:48.480 --> 0:44:52.080
<v Speaker 2>Yes, so much of it? Okay, how do I.

0:44:52.160 --> 0:44:54.160
<v Speaker 1>Have so much stubborn belly fat? I don't think you too.

0:44:54.360 --> 0:44:57.160
<v Speaker 2>It's so stubborn. I am always arguing with it. It's

0:44:57.200 --> 0:44:59.600
<v Speaker 2>always making these terrible points.

0:44:59.760 --> 0:45:03.560
<v Speaker 1>Are Producer Tamar just rolled her eyes like Emily's saying

0:45:03.640 --> 0:45:04.760
<v Speaker 1>she has belly fat.

0:45:04.840 --> 0:45:10.479
<v Speaker 3>Enoise describe stubborn Well, okay, anyway, I as a middle

0:45:10.520 --> 0:45:12.560
<v Speaker 3>aged man, stubborn belly fat is I get it.

0:45:12.640 --> 0:45:14.600
<v Speaker 1>It's stubborn because it's like I work out, I try

0:45:14.640 --> 0:45:16.560
<v Speaker 1>to eat right, and it's still there and that's annoying.

0:45:17.080 --> 0:45:21.319
<v Speaker 1>So I did look into this for us once again

0:45:21.600 --> 0:45:24.960
<v Speaker 1>in Cushing syndrome and Cushing's disease, there is a substantial

0:45:25.040 --> 0:45:28.560
<v Speaker 1>increase in visceral outipost tissue. That's what belly fat is,

0:45:29.080 --> 0:45:31.960
<v Speaker 1>as opposed to subcutaneous fat, which is kind of all

0:45:32.000 --> 0:45:34.600
<v Speaker 1>over your body. Belly fat is visceral fat, and it's

0:45:35.040 --> 0:45:38.000
<v Speaker 1>not good for you. Higher amounts of visceral fat are

0:45:38.120 --> 0:45:45.719
<v Speaker 1>associated and potentially causally with cardiovascular disease. But in a

0:45:46.640 --> 0:45:50.399
<v Speaker 1>study pering clinical endochronology in twenty twenty four, they looked

0:45:50.440 --> 0:45:54.160
<v Speaker 1>at visceral fat and subcutaneous fat among people just regular

0:45:54.320 --> 0:45:57.520
<v Speaker 1>joes with varying cortisol levels, and there was no association

0:45:57.760 --> 0:46:01.920
<v Speaker 1>between higher cortisol level in the non pathologic range, in

0:46:01.960 --> 0:46:05.120
<v Speaker 1>the non Cushing's disease range, and belly fat. So that's

0:46:05.200 --> 0:46:05.800
<v Speaker 1>not it, folks.

0:46:06.600 --> 0:46:09.319
<v Speaker 3>I also think it's worth saying, like when people are

0:46:09.440 --> 0:46:11.480
<v Speaker 3>chronically stressed, it actually isn't.

0:46:12.120 --> 0:46:13.120
<v Speaker 2>We said this at the topics.

0:46:13.200 --> 0:46:15.680
<v Speaker 3>We're saying again, it's not that chronic stress means you

0:46:15.800 --> 0:46:18.160
<v Speaker 3>always have a high cortisol level. It actually means your

0:46:18.239 --> 0:46:21.160
<v Speaker 3>cortisol is very flat, as opposed to moving up and

0:46:21.239 --> 0:46:23.880
<v Speaker 3>down like it's sort of supposed to typically, And so

0:46:24.360 --> 0:46:26.560
<v Speaker 3>like your cortisol is supposed to be responsive to like

0:46:26.719 --> 0:46:29.839
<v Speaker 3>events and to the day, which of course is evolutionary

0:46:29.920 --> 0:46:32.440
<v Speaker 3>valuable because you want to really be able to respond

0:46:32.480 --> 0:46:33.080
<v Speaker 3>when the tiger.

0:46:33.400 --> 0:46:34.359
<v Speaker 2>When the tiger comes.

0:46:34.840 --> 0:46:38.040
<v Speaker 3>When people are chronically stressed, they can get a sort

0:46:38.040 --> 0:46:40.560
<v Speaker 3>of flattening of the cortosol, but it's not that it's higher,

0:46:40.680 --> 0:46:43.000
<v Speaker 3>and so this sort of whole narrative is kind of

0:46:43.040 --> 0:46:43.719
<v Speaker 3>con Yeah, it.

0:46:43.719 --> 0:46:46.480
<v Speaker 1>Can even burn out. So there's some nice studies in PTSD,

0:46:46.719 --> 0:46:49.440
<v Speaker 1>in patients with PTSD that actually shows your typical patient

0:46:49.480 --> 0:46:54.680
<v Speaker 1>with PTSD has lower cortisol levels than controls who don't

0:46:54.760 --> 0:46:57.600
<v Speaker 1>have trauma. So yeah, this whole idea that like, your

0:46:57.680 --> 0:47:01.080
<v Speaker 1>cortisol is so high and because you're so stressed, if anything,

0:47:01.400 --> 0:47:04.919
<v Speaker 1>it's blunting the cortisol response, or your cortosol might even

0:47:04.960 --> 0:47:05.279
<v Speaker 1>be low.

0:47:06.320 --> 0:47:08.759
<v Speaker 3>So you don't need to detox your cortisol, not that

0:47:08.960 --> 0:47:11.040
<v Speaker 3>we have any Like people will sell you a lot

0:47:11.080 --> 0:47:12.279
<v Speaker 3>of stuff gum ease.

0:47:12.400 --> 0:47:15.080
<v Speaker 1>Yeah, n well, yeah, I mean I did, I did

0:47:15.320 --> 0:47:17.960
<v Speaker 1>look into it in case people want to make their cortisol.

0:47:18.360 --> 0:47:19.600
<v Speaker 1>You know what, there are some things that will make

0:47:19.640 --> 0:47:21.800
<v Speaker 1>your cortisol lower that I think are good for you anyway,

0:47:22.320 --> 0:47:26.439
<v Speaker 1>So there's a pretty large meta analysis of randomized control

0:47:26.520 --> 0:47:30.080
<v Speaker 1>trials you talked about, you know, randomizing people to interventions

0:47:30.120 --> 0:47:33.440
<v Speaker 1>to lower cortisol, which of course have off target effects.

0:47:33.680 --> 0:47:36.640
<v Speaker 1>This is once again psycho Neeurontochronology twenty twenty four or

0:47:36.640 --> 0:47:39.280
<v Speaker 1>fifty eight randomized trials just about thirty five hundred patients

0:47:39.320 --> 0:47:43.440
<v Speaker 1>looking at different ways to reduce cortisol levels, and mindfulness,

0:47:43.520 --> 0:47:50.279
<v Speaker 1>meditation relaxation techniques both reduce cortisol levels by about a

0:47:51.120 --> 0:47:56.480
<v Speaker 1>third or so, not bad. Interestingly, the studies of yoga

0:47:56.560 --> 0:47:58.960
<v Speaker 1>and tai chiet didn't have a significant effect, and the

0:47:59.040 --> 0:48:01.840
<v Speaker 1>talk therapies like cognitive behavioral therapy and counseling did not

0:48:01.920 --> 0:48:02.920
<v Speaker 1>have a significant effect.

0:48:03.080 --> 0:48:09.640
<v Speaker 3>So meditation, Yeah, exercise is good for your cortisol lowers

0:48:09.640 --> 0:48:10.280
<v Speaker 3>your cortisol.

0:48:10.400 --> 0:48:13.160
<v Speaker 2>We also see that in randomized control trials.

0:48:13.360 --> 0:48:16.839
<v Speaker 1>Yep, absolutely exercise and we've hit on the several times.

0:48:16.880 --> 0:48:20.080
<v Speaker 1>But sleep, you guys, especially especially if you want to

0:48:20.120 --> 0:48:23.239
<v Speaker 1>maintain that diurnal variation, which does appear to be an

0:48:23.280 --> 0:48:27.600
<v Speaker 1>important thing for your overall health. Getting adequate amounts of

0:48:27.640 --> 0:48:30.960
<v Speaker 1>sleep gets the cortisol into the right place at the

0:48:31.040 --> 0:48:31.359
<v Speaker 1>right time.

0:48:31.840 --> 0:48:34.320
<v Speaker 3>So is it worth I think an interesting question is

0:48:34.360 --> 0:48:37.080
<v Speaker 3>it worth measuring your cortisol at all? So we just

0:48:37.200 --> 0:48:40.320
<v Speaker 3>gave you know there are these are recommendations too that

0:48:40.520 --> 0:48:44.040
<v Speaker 3>will reduce your cortisol, but also things which you should

0:48:44.239 --> 0:48:48.920
<v Speaker 3>probably be doing for a general like health maintenance regardless.

0:48:49.520 --> 0:48:52.000
<v Speaker 3>Would you recommend someone measure their cortisol.

0:48:52.640 --> 0:48:55.480
<v Speaker 1>If they had moon faces, a buffalo hump, or a

0:48:55.560 --> 0:48:59.680
<v Speaker 1>violaceous strea, I would recommend that they have cortisol levels measured.

0:49:00.239 --> 0:49:01.800
<v Speaker 2>Do you want to know what my cortosol level is?

0:49:01.880 --> 0:49:04.120
<v Speaker 3>Because I looked it up while we were here, because

0:49:04.160 --> 0:49:05.799
<v Speaker 3>I had it measured in the last time I had

0:49:05.840 --> 0:49:06.439
<v Speaker 3>a blood test.

0:49:06.880 --> 0:49:08.080
<v Speaker 1>What time of day was it.

0:49:09.239 --> 0:49:10.040
<v Speaker 2>It was in the morning.

0:49:11.840 --> 0:49:15.720
<v Speaker 1>It was fifteen micrograms pertest leader nineteen.

0:49:16.880 --> 0:49:21.080
<v Speaker 2>It only got in in the sufficient range for.

0:49:22.640 --> 0:49:26.360
<v Speaker 1>We should say, I can't believe yeah, sufficient, You know

0:49:26.480 --> 0:49:29.359
<v Speaker 1>you die without enough cortisol, right, Like that's the other

0:49:29.800 --> 0:49:32.320
<v Speaker 1>The flip side of this is that your adrenal glands

0:49:32.400 --> 0:49:35.799
<v Speaker 1>can stop producing cortisol. This is called Addison's disease, which

0:49:35.840 --> 0:49:41.839
<v Speaker 1>JFK had, and it causes like severe hypotension, sodium wasting death.

0:49:41.920 --> 0:49:44.600
<v Speaker 1>You need to supplement that's bad too. So I think

0:49:44.880 --> 0:49:47.200
<v Speaker 1>the cortisol is just like not something if you're into

0:49:47.560 --> 0:49:49.520
<v Speaker 1>interested in your health and wellness, it's just not worth

0:49:49.560 --> 0:49:52.359
<v Speaker 1>your time. It's like, don't you're not going to change

0:49:52.400 --> 0:49:55.320
<v Speaker 1>your life based on it. And yes you should destress,

0:49:55.400 --> 0:49:56.400
<v Speaker 1>but not because of cortisol.

0:49:57.760 --> 0:50:00.920
<v Speaker 3>Look, I think every time we talk about hormones, I

0:50:01.080 --> 0:50:05.000
<v Speaker 3>am more and more impressed with the endocrine system. I

0:50:05.080 --> 0:50:08.120
<v Speaker 3>feel like, you know, the human endocrine system is so

0:50:09.560 --> 0:50:14.279
<v Speaker 3>like tight, and it's so well thought out, and there's

0:50:14.400 --> 0:50:17.279
<v Speaker 3>so much of the wellness space that's about like give

0:50:17.320 --> 0:50:19.120
<v Speaker 3>yourself more of this hormone and more of that homer

0:50:19.160 --> 0:50:21.719
<v Speaker 3>and do this, and most of the time, like your endocrinsism,

0:50:21.800 --> 0:50:23.680
<v Speaker 3>like it's thinking about that, like it thought about when

0:50:23.719 --> 0:50:25.279
<v Speaker 3>the cord sho should be, when it should be low,

0:50:25.360 --> 0:50:28.440
<v Speaker 3>like how much you need. It's like estrogen, Like we're

0:50:28.480 --> 0:50:31.680
<v Speaker 3>all kind of moving moving together, and I just I

0:50:31.719 --> 0:50:33.720
<v Speaker 3>don't think it's a system we want to be messing

0:50:33.800 --> 0:50:34.319
<v Speaker 3>with too much.

0:50:35.239 --> 0:50:38.480
<v Speaker 1>With the exception of hormone replacement therapy and with the exceptional.

0:50:38.200 --> 0:50:41.440
<v Speaker 3>Yeah, yeah, okay, there are some things, but like like

0:50:42.200 --> 0:50:45.760
<v Speaker 3>our tendency to want to get inside the endocrine system

0:50:45.800 --> 0:50:48.400
<v Speaker 3>and mess around with it, I think is over. I

0:50:48.480 --> 0:50:50.960
<v Speaker 3>think we're doing we're doing too much of that outside

0:50:51.000 --> 0:50:52.360
<v Speaker 3>of I agree hormone replacement.

0:50:52.840 --> 0:50:55.520
<v Speaker 1>Yeah yeah. Cortisolt too high is bad, Cortisol too low

0:50:55.640 --> 0:50:58.000
<v Speaker 1>is bad. It needs to have a specific pattern. You're

0:50:58.040 --> 0:51:00.399
<v Speaker 1>not going to get this right with like ashwaganda, which

0:51:00.440 --> 0:51:02.160
<v Speaker 1>does lower your cortisol a little bit, by the way,

0:51:02.239 --> 0:51:05.000
<v Speaker 1>but like this is one. Trust your body a little

0:51:05.000 --> 0:51:06.200
<v Speaker 1>bit and be zen.

0:51:06.840 --> 0:51:11.600
<v Speaker 3>Trust your body, but don't trust Mendelian randomization because it's stupid.

0:51:14.520 --> 0:51:15.920
<v Speaker 1>It can be done very well.

0:51:16.640 --> 0:51:18.840
<v Speaker 2>It can be, but it's not okay. Enough of that

0:51:19.000 --> 0:51:21.920
<v Speaker 2>for me, all right, Perry, smash your pass cortisol.

0:51:23.160 --> 0:51:26.000
<v Speaker 1>I mean I'm a pass in terms of cortisol as

0:51:26.040 --> 0:51:29.440
<v Speaker 1>a wellness metric. Obviously I love the hormone. I die

0:51:29.520 --> 0:51:31.920
<v Speaker 1>without it, so do you. But I'm a past Emily

0:51:32.000 --> 0:51:32.640
<v Speaker 1>Smasher pass.

0:51:33.320 --> 0:51:37.480
<v Speaker 3>I am a pass on anything that involves detoxing, retoxing,

0:51:38.239 --> 0:51:43.360
<v Speaker 3>changing gummies adapt to this and that. Just trust your

0:51:43.440 --> 0:51:47.040
<v Speaker 3>endocrine system unless you have a buffalo and then get

0:51:47.080 --> 0:51:47.480
<v Speaker 3>it looked at.

0:51:48.239 --> 0:51:50.439
<v Speaker 1>All Right, that's it for cortisol. Your mail bag question

0:51:50.520 --> 0:51:51.920
<v Speaker 1>of the Week after the break.

0:51:57.440 --> 0:52:00.600
<v Speaker 2>Hi, Emily and Perry. This is celestin Detroit. My question

0:52:00.719 --> 0:52:01.840
<v Speaker 2>is more personal to both of you.

0:52:02.520 --> 0:52:05.480
<v Speaker 3>Is there anything that you felt certain about like ten

0:52:05.600 --> 0:52:07.840
<v Speaker 3>years ago that now you look back on and cringe.

0:52:08.719 --> 0:52:12.440
<v Speaker 2>We all have them, and I'm dying to know yours. Thanks.

0:52:13.160 --> 0:52:17.040
<v Speaker 1>Oh, this is such a good question. I'm sure there

0:52:17.080 --> 0:52:21.200
<v Speaker 1>are many things that I've suppressed, and I have convinced

0:52:21.239 --> 0:52:23.800
<v Speaker 1>myself that I never believed that really I did. But

0:52:24.040 --> 0:52:27.440
<v Speaker 1>the one I am quite sure I believed strongly. And

0:52:27.680 --> 0:52:29.359
<v Speaker 1>I think I'm going to just cheat a little bit

0:52:29.360 --> 0:52:31.839
<v Speaker 1>and say this was more like fifteen years ago, maybe

0:52:31.880 --> 0:52:37.000
<v Speaker 1>even pushing twenty years ago. But I was a hardcore

0:52:37.160 --> 0:52:41.759
<v Speaker 1>fluid resuscitation vigilante when I was in medical training. So

0:52:41.840 --> 0:52:44.440
<v Speaker 1>when someone came into the ICU with sepsis, I was

0:52:44.600 --> 0:52:47.320
<v Speaker 1>it was like a contest, like how much IVY fluid

0:52:47.360 --> 0:52:49.720
<v Speaker 1>can I put into this person in the next twelve hours?

0:52:50.560 --> 0:52:54.160
<v Speaker 1>And back then, we thought this was the right thing

0:52:54.200 --> 0:52:56.919
<v Speaker 1>to do. This totally makes me cringe now, like there's

0:52:56.920 --> 0:52:59.120
<v Speaker 1>been a lot of evidence in the past twenty years

0:52:59.160 --> 0:53:03.520
<v Speaker 1>that suggests that overly aggressive fluid resuscitation can cause major

0:53:03.560 --> 0:53:05.880
<v Speaker 1>problems down the road, and you know, people get volume

0:53:05.920 --> 0:53:08.160
<v Speaker 1>overloaded and their lungs don't work anymore and stuff like that.

0:53:08.280 --> 0:53:10.000
<v Speaker 1>But it was like it used to be a contest

0:53:10.080 --> 0:53:13.040
<v Speaker 1>among the residents, like I gave that guy fifteen liders

0:53:13.120 --> 0:53:15.480
<v Speaker 1>last night and like high five, like, yeah, that's how

0:53:15.520 --> 0:53:18.120
<v Speaker 1>you treat sepsis. And I cringe a little bit thinking

0:53:18.120 --> 0:53:19.719
<v Speaker 1>about that. Now, why you am.

0:53:22.000 --> 0:53:22.960
<v Speaker 2>I that's amazing.

0:53:23.239 --> 0:53:27.040
<v Speaker 3>Mine is more Mine is more personal. It actually vaguely

0:53:27.120 --> 0:53:31.000
<v Speaker 3>relates to to cortosol. So I used to be very

0:53:31.160 --> 0:53:34.120
<v Speaker 3>sure that you should exercise in the morning before you eat,

0:53:34.640 --> 0:53:36.560
<v Speaker 3>and that you should like not eat anything before you

0:53:36.719 --> 0:53:40.399
<v Speaker 3>you should like exercise fasted. But it turns out that's

0:53:40.520 --> 0:53:45.279
<v Speaker 3>really stupid and it's really bad for your cortisol. I

0:53:45.400 --> 0:53:50.040
<v Speaker 3>think it raises your cortisol a lot to exercise fasted,

0:53:50.239 --> 0:53:54.160
<v Speaker 3>and I don't do that anymore. And I think it

0:53:54.320 --> 0:53:57.360
<v Speaker 3>was part of this space of like, you know, like

0:53:57.560 --> 0:54:00.800
<v Speaker 3>diet culture that I find now very cringey.

0:54:00.920 --> 0:54:02.719
<v Speaker 1>It's okay, we're all entitled to change.

0:54:03.080 --> 0:54:06.279
<v Speaker 3>I can't believe you guys were high fiving. That's like,

0:54:06.560 --> 0:54:11.800
<v Speaker 3>that's so nerdy and weird. Oh yeah, it makes me Yeah, okay,

0:54:14.280 --> 0:54:15.600
<v Speaker 3>I have feelings. I'm not going to comment.

0:54:17.719 --> 0:54:18.040
<v Speaker 1>Thanks.

0:54:20.960 --> 0:54:22.720
<v Speaker 2>All right, that's it for us today.

0:54:23.040 --> 0:54:25.080
<v Speaker 3>Stick with us next week when we'll ask what's the

0:54:25.120 --> 0:54:28.200
<v Speaker 3>deal with pregnancy brain and we'll have a special guest.

0:54:29.200 --> 0:54:33.600
<v Speaker 3>Wellness Actually is produced in association with iHeartMedia. Our senior

0:54:33.640 --> 0:54:37.360
<v Speaker 3>producer is Tamar Avisheid. Our executive producer at iHeart is

0:54:37.440 --> 0:54:40.960
<v Speaker 3>Jennifer Bassett. Our theme music is by Eric Deutsch, and

0:54:41.080 --> 0:54:43.120
<v Speaker 3>our content is for educational purposes only.

0:54:43.840 --> 0:54:46.040
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0:54:46.440 --> 0:54:49.200
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0:54:49.320 --> 0:54:52.040
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0:54:52.080 --> 0:54:55.080
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0:54:55.120 --> 0:54:58.160
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0:54:58.760 --> 0:55:01.600
<v Speaker 1>Head over to Wellness Action and leave us a question

0:55:01.680 --> 0:55:04.560
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0:55:05.360 --> 0:55:07.160
<v Speaker 2>We'll let the influencers have the last word.

0:55:07.400 --> 0:55:09.440
<v Speaker 5>When your cortisol levels are elevated, you can hang on

0:55:09.480 --> 0:55:10.759
<v Speaker 5>to a lot of fat around your middle and this

0:55:10.880 --> 0:55:13.120
<v Speaker 5>can be really frustrating because it seems like you're doing

0:55:13.200 --> 0:55:15.520
<v Speaker 5>everything right, but it's not budging. The first thing I

0:55:15.600 --> 0:55:17.160
<v Speaker 5>want you to do is get rid of the high

0:55:17.160 --> 0:55:20.640
<v Speaker 5>intensity interval training. The second thing is intermittent fasting.

0:55:20.800 --> 0:55:21.360
<v Speaker 2>Get rid of it.

0:55:21.480 --> 0:55:24.000
<v Speaker 5>Eat thirty grams of protein within thirty minutes of waking up.

0:55:24.520 --> 0:55:27.160
<v Speaker 5>And the third one is the least fun, and that

0:55:27.360 --> 0:55:29.560
<v Speaker 5>is to stop drinking coffee first thing in the morning

0:55:29.640 --> 0:55:30.600
<v Speaker 5>on an empty stomach.

0:55:31.080 --> 0:55:32.440
<v Speaker 2>This third one might piss you off.