1 00:00:00,160 --> 00:00:03,279 Speaker 1: I get countered when I say do high intensity interval 2 00:00:03,320 --> 00:00:06,400 Speaker 1: training and spread interval training and heavy resistance training, because 3 00:00:06,400 --> 00:00:08,799 Speaker 1: these are the harm works we know that improve not 4 00:00:08,840 --> 00:00:11,720 Speaker 1: only muscle function and metabolic health, but also brain health. 5 00:00:11,840 --> 00:00:13,360 Speaker 1: And people are like, well, I don't. 6 00:00:13,200 --> 00:00:25,799 Speaker 2: Want to do it, doctor c C Simms, Welcome to 7 00:00:25,840 --> 00:00:26,440 Speaker 2: the podcast. 8 00:00:27,200 --> 00:00:28,600 Speaker 1: Hello, and thanks for having me. 9 00:00:29,160 --> 00:00:32,640 Speaker 2: We are just across the ditch from each other. But 10 00:00:32,680 --> 00:00:35,080 Speaker 2: you wouldn't know what to listen to us, right, I 11 00:00:35,200 --> 00:00:36,199 Speaker 2: know we're. 12 00:00:36,360 --> 00:00:38,080 Speaker 1: Like on the very bottom of the world, but we 13 00:00:38,159 --> 00:00:39,800 Speaker 1: don't come from this area of the world. 14 00:00:42,159 --> 00:00:45,239 Speaker 2: So what brought you to New Zealand the. 15 00:00:45,200 --> 00:00:49,559 Speaker 1: First time around? Oh? So long ago. I was in 16 00:00:49,720 --> 00:00:52,720 Speaker 1: living in San Francisco and working and a job came 17 00:00:52,800 --> 00:00:55,160 Speaker 1: up and I was like, yeah, I'm twenty six single, 18 00:00:55,200 --> 00:00:58,480 Speaker 1: not atachments. Why not that I moved down here and I 19 00:00:58,480 --> 00:01:01,600 Speaker 1: did my PhD, and I got married, and then I 20 00:01:01,640 --> 00:01:04,639 Speaker 1: moved back to California and worked at Stanford for a while, 21 00:01:05,400 --> 00:01:09,560 Speaker 1: and then launched a company and closed it down, and 22 00:01:09,600 --> 00:01:11,880 Speaker 1: then got to a point where I was like, not 23 00:01:11,959 --> 00:01:14,119 Speaker 1: quite sure my husband really wanted to move back because 24 00:01:14,120 --> 00:01:14,760 Speaker 1: he's from here. 25 00:01:15,360 --> 00:01:18,560 Speaker 2: Ah, there we go. I was wondering why. 26 00:01:18,400 --> 00:01:20,440 Speaker 1: I came back, so we moved back. 27 00:01:20,600 --> 00:01:25,680 Speaker 2: Yeah, and so you are at AUT. You're an adjunt 28 00:01:25,720 --> 00:01:29,679 Speaker 2: profit aut with a good mair of mine who the 29 00:01:29,760 --> 00:01:32,720 Speaker 2: listeners will be very familiar with Grand Professor Grant Scholfield 30 00:01:32,720 --> 00:01:35,800 Speaker 2: because he's been on my podcast probably four times, five 31 00:01:35,840 --> 00:01:36,800 Speaker 2: times now maybe. 32 00:01:36,640 --> 00:01:40,200 Speaker 1: All right, nice, yes, I know great, he's yeah. 33 00:01:40,319 --> 00:01:44,639 Speaker 2: Very cool, very cool. So you let's just just tell 34 00:01:44,720 --> 00:01:48,000 Speaker 2: our listeners a little bit about your background. So obviously 35 00:01:48,080 --> 00:01:51,240 Speaker 2: we talked about the back and forth, but talk about 36 00:01:51,240 --> 00:01:53,240 Speaker 2: your kind of career to this point. 37 00:01:55,200 --> 00:01:58,520 Speaker 1: It has not been a smooth sailing path. If when 38 00:01:58,560 --> 00:02:00,480 Speaker 1: I was eighteen, I wouldn't tell you what I was 39 00:02:00,520 --> 00:02:03,680 Speaker 1: doing when I was nineteen. So I've just taken opportunities 40 00:02:03,720 --> 00:02:07,200 Speaker 1: because I look at it as the sliding doors phenomena. Right. 41 00:02:07,240 --> 00:02:10,000 Speaker 1: If you go through it right and you're like I 42 00:02:10,040 --> 00:02:12,200 Speaker 1: wish I had done X y Z, then you should 43 00:02:12,240 --> 00:02:14,760 Speaker 1: probably do the xyz because you can always come back 44 00:02:14,800 --> 00:02:16,840 Speaker 1: to where you are. So that's kind of how I 45 00:02:17,000 --> 00:02:20,880 Speaker 1: viewed things. So my career has been a little bit interesting. 46 00:02:21,280 --> 00:02:27,200 Speaker 1: Where I started as an athlete and in academia exercise physiology, 47 00:02:27,360 --> 00:02:31,040 Speaker 1: I worked outside of the academic scope, worked for an 48 00:02:31,040 --> 00:02:35,600 Speaker 1: obesity surgeon as an exercise physiologist for a while yep, 49 00:02:35,880 --> 00:02:39,400 Speaker 1: and then I worked cardiac rehab for a while, then 50 00:02:39,560 --> 00:02:43,880 Speaker 1: got back into more of the academic and sport focus. 51 00:02:44,120 --> 00:02:45,880 Speaker 1: So that's kind of like how I did my PhD 52 00:02:46,120 --> 00:02:48,079 Speaker 1: and all that kind of stuff being an elite athlete 53 00:02:48,120 --> 00:02:51,160 Speaker 1: wanting to answer questions. Then when I got to Stanford, 54 00:02:51,600 --> 00:02:55,440 Speaker 1: I started as an exercise physiologist in the Human Performance Lab, 55 00:02:55,480 --> 00:02:58,680 Speaker 1: but then moved over to do a POSTOC in the 56 00:02:58,720 --> 00:03:03,600 Speaker 1: Prevention Research Center with Marshall Stefanik, who is known for 57 00:03:04,160 --> 00:03:06,840 Speaker 1: being the PI for the Women's Health Initiative. But I 58 00:03:06,880 --> 00:03:09,960 Speaker 1: had one hand in that database and the other in 59 00:03:10,120 --> 00:03:13,560 Speaker 1: human biology and human performance, so meshing those two worlds together. 60 00:03:14,160 --> 00:03:17,760 Speaker 1: So this is why all the conversation about menopause and exercise, 61 00:03:17,800 --> 00:03:19,680 Speaker 1: I'm like, why did people not know this? I've been 62 00:03:19,720 --> 00:03:24,720 Speaker 1: looking at this for like fifteen years. So the driver 63 00:03:24,880 --> 00:03:29,799 Speaker 1: really has been as an athlete wanting to understand answers 64 00:03:29,840 --> 00:03:32,040 Speaker 1: to a lot of the questions that I had as 65 00:03:32,400 --> 00:03:35,840 Speaker 1: a competitive athlete, and now wanting to know the answers 66 00:03:35,880 --> 00:03:39,040 Speaker 1: for my friends who have been olympians and now are coaches, 67 00:03:39,960 --> 00:03:43,640 Speaker 1: as well as getting older in the aging population, how 68 00:03:43,640 --> 00:03:47,280 Speaker 1: do we keep thriving as we get older instead of 69 00:03:47,320 --> 00:03:50,440 Speaker 1: being told that we've aged out. So it's all been 70 00:03:50,480 --> 00:03:52,760 Speaker 1: in the strive of what is human performance, how do 71 00:03:52,840 --> 00:03:55,720 Speaker 1: we optimize it and at the same time having the 72 00:03:55,760 --> 00:03:58,640 Speaker 1: availability to go to the lab or work with other 73 00:03:58,720 --> 00:04:02,320 Speaker 1: populations to see how we can merge the two ideas 74 00:04:02,320 --> 00:04:06,600 Speaker 1: together or not. So that's how I've kind of looked 75 00:04:06,600 --> 00:04:09,920 Speaker 1: at my career across the the different waves. 76 00:04:10,720 --> 00:04:13,800 Speaker 2: Very cool and in the last few years you kind 77 00:04:13,800 --> 00:04:17,839 Speaker 2: of have exploded onto the scene in terms of getting 78 00:04:17,880 --> 00:04:21,120 Speaker 2: out to the masses, which is quite cool, and particularly 79 00:04:21,680 --> 00:04:24,599 Speaker 2: with your research on the sex differences, which we are 80 00:04:24,800 --> 00:04:27,320 Speaker 2: are going to come back to. But I love what 81 00:04:27,360 --> 00:04:29,400 Speaker 2: you have right on the front of your website. Women 82 00:04:29,440 --> 00:04:34,039 Speaker 2: are not small men. And I first realized that, oh Jesus, 83 00:04:34,120 --> 00:04:38,560 Speaker 2: I don't know, fifteen years ago doing Malnutrition Masters, and 84 00:04:39,000 --> 00:04:42,599 Speaker 2: we looked at a study that was around sleeping tablets 85 00:04:43,040 --> 00:04:45,480 Speaker 2: and how all the research have been done on men 86 00:04:46,000 --> 00:04:48,600 Speaker 2: and then when they studied women in sleeping tablets, they 87 00:04:48,720 --> 00:04:53,840 Speaker 2: metabolize them completely differently and often end up with a 88 00:04:53,880 --> 00:04:57,719 Speaker 2: massive fog that lasts halfway through the next day. So 89 00:04:57,839 --> 00:05:03,239 Speaker 2: tell us just so our listeners understand why historically has 90 00:05:03,760 --> 00:05:06,760 Speaker 2: the vast majority of the research being done on man 91 00:05:07,000 --> 00:05:10,719 Speaker 2: and particularly coffee ghed Man. Yeah. 92 00:05:10,760 --> 00:05:12,920 Speaker 1: So I like to explain it as if we look 93 00:05:13,080 --> 00:05:17,880 Speaker 1: historically what has gone on with regards to modern medicine, 94 00:05:18,600 --> 00:05:21,680 Speaker 1: it was started by men and men in the room, 95 00:05:21,880 --> 00:05:26,000 Speaker 1: because historically women have been thought to have smaller brains, 96 00:05:26,120 --> 00:05:29,080 Speaker 1: be delicate, not as smart, all of these things. Even 97 00:05:29,360 --> 00:05:31,360 Speaker 1: I'm a fan of Darwin, but I'm not a fan 98 00:05:31,400 --> 00:05:33,040 Speaker 1: of the fact that he put out there that women 99 00:05:33,080 --> 00:05:36,240 Speaker 1: have smaller brains. So are there pretty Yeah, so therefore 100 00:05:36,400 --> 00:05:41,360 Speaker 1: not as intelligent as men? So what Yeah, So historically 101 00:05:41,839 --> 00:05:44,760 Speaker 1: we look at how research has been designed, right, and 102 00:05:44,839 --> 00:05:49,680 Speaker 1: so it has been designed and methodology has been kind 103 00:05:49,720 --> 00:05:52,400 Speaker 1: of evolved by who has been in the room. And 104 00:05:52,440 --> 00:05:54,600 Speaker 1: if we think about it, men have been in the room, 105 00:05:55,160 --> 00:05:58,280 Speaker 1: and so the studies have been very well designed and 106 00:05:58,320 --> 00:06:01,560 Speaker 1: thought as through the view of a male lens, like 107 00:06:01,600 --> 00:06:04,960 Speaker 1: how does the male body work? Men don't have minstrual cycles, 108 00:06:05,000 --> 00:06:07,719 Speaker 1: they don't have pregnancy, they don't have perimenopause, they don't 109 00:06:07,720 --> 00:06:09,960 Speaker 1: have menopause. So none of that came into the equation, 110 00:06:10,600 --> 00:06:12,880 Speaker 1: none of it came into the methods. So as we 111 00:06:12,920 --> 00:06:15,280 Speaker 1: start looking at the gender data gap and we start 112 00:06:15,320 --> 00:06:18,719 Speaker 1: looking at the lack of robust research on women. It's 113 00:06:18,760 --> 00:06:22,160 Speaker 1: because of this historical thread that keeps being pulled through. 114 00:06:22,279 --> 00:06:25,919 Speaker 1: Even to now twenty twenty four, Well, we're still seeing 115 00:06:25,920 --> 00:06:30,520 Speaker 1: an incredible gap in the research and the outcomes. And 116 00:06:30,600 --> 00:06:33,080 Speaker 1: now as we start getting more and more into AI 117 00:06:33,360 --> 00:06:36,560 Speaker 1: and how AI is learning and learning from the existing data, 118 00:06:36,720 --> 00:06:41,359 Speaker 1: is perpetuating that gap. So historically we've been aware of it. 119 00:06:41,560 --> 00:06:44,600 Speaker 2: Right, Sorry, is that stacy? Because AI all that can 120 00:06:44,640 --> 00:06:49,239 Speaker 2: do is troll through historical data, and the vast majority 121 00:06:49,240 --> 00:06:51,680 Speaker 2: of that historical data is man. So the stuff that 122 00:06:51,720 --> 00:06:54,720 Speaker 2: AI is coming up is meal centric, yes. 123 00:06:54,760 --> 00:06:58,040 Speaker 1: Which worries me when we start seeing companies like Thrive 124 00:06:58,120 --> 00:07:03,640 Speaker 1: in the US that's using AI driven information to push 125 00:07:03,680 --> 00:07:07,320 Speaker 1: out to women and to understand what are these diseases 126 00:07:07,320 --> 00:07:09,600 Speaker 1: that are coming on and how are we supposed to 127 00:07:09,680 --> 00:07:12,960 Speaker 1: accommodate for them when they're missing the mark on things 128 00:07:13,000 --> 00:07:16,280 Speaker 1: like cardiovascular disease which presents differitely in women than men, 129 00:07:16,720 --> 00:07:20,040 Speaker 1: and autoimmune disorders that have a higher incidence in women 130 00:07:20,080 --> 00:07:24,160 Speaker 1: than in men. So if the data is not taking 131 00:07:24,280 --> 00:07:29,239 Speaker 1: to account sex and ethnic differences, we're creating a greater gap. 132 00:07:30,000 --> 00:07:33,160 Speaker 1: So historically we've known, we started putting a fix to it, 133 00:07:33,360 --> 00:07:37,120 Speaker 1: and we're seeing this upsurge of really good robust research 134 00:07:37,200 --> 00:07:40,960 Speaker 1: on women. But then we're having this whole AI issue 135 00:07:40,960 --> 00:07:45,440 Speaker 1: that's coming in that's perpetuating the lack of closing this gap. 136 00:07:46,040 --> 00:07:48,760 Speaker 1: So I'm hoping the pendulum swings the other way and 137 00:07:48,800 --> 00:07:51,239 Speaker 1: we land back in the middle where we start going, Okay, 138 00:07:51,320 --> 00:07:54,760 Speaker 1: we see xx versus x y, and then we have 139 00:07:55,200 --> 00:07:59,760 Speaker 1: other perturbations of our chromosomes that affect different diseases different ways. 140 00:08:00,320 --> 00:08:03,360 Speaker 2: So yeah, and then as you said, there's the racial 141 00:08:03,440 --> 00:08:07,280 Speaker 2: differences as well, because I know that there are a 142 00:08:07,320 --> 00:08:11,000 Speaker 2: fur few differences when it comes to particularly to metabolic disorders. Yes, 143 00:08:11,640 --> 00:08:14,920 Speaker 2: so yeah, that's that's a very interesting indeed. Okay, let's 144 00:08:14,920 --> 00:08:17,280 Speaker 2: get onto the major topic of today, which is all 145 00:08:17,280 --> 00:08:20,760 Speaker 2: about exercise, given that you are a bit of an 146 00:08:20,760 --> 00:08:25,280 Speaker 2: exercise guru, and I think a good conversation starter would 147 00:08:25,280 --> 00:08:28,600 Speaker 2: be a twenty fifteen paper that I'm sure you will 148 00:08:28,600 --> 00:08:32,880 Speaker 2: have read that says exercise atten yates all the major 149 00:08:32,920 --> 00:08:35,679 Speaker 2: hallmarks of aging, right and back just before then, there 150 00:08:35,679 --> 00:08:39,080 Speaker 2: was a paper released about the major hallmarks of aging, 151 00:08:39,120 --> 00:08:42,000 Speaker 2: and then there were nine I think a paper last 152 00:08:42,040 --> 00:08:49,360 Speaker 2: year added another two. But exercise basically atten yates and 153 00:08:49,400 --> 00:08:54,840 Speaker 2: for the non academic people reduces or counteracts all of 154 00:08:54,880 --> 00:08:58,040 Speaker 2: those nine major hallmarks of euaging and the latest two 155 00:08:58,120 --> 00:09:01,040 Speaker 2: that came out, it also has positive effects on those 156 00:09:01,080 --> 00:09:06,800 Speaker 2: as well. Right, Why has exercise got such a broad 157 00:09:06,960 --> 00:09:10,960 Speaker 2: scope when it comes to these different ways that the 158 00:09:11,000 --> 00:09:11,760 Speaker 2: body edges. 159 00:09:12,440 --> 00:09:15,720 Speaker 1: Exercise is a stress and the way the body responds 160 00:09:15,760 --> 00:09:18,040 Speaker 1: to stress is to learn that stress and overcome it 161 00:09:18,240 --> 00:09:22,199 Speaker 1: and put in different mechanisms to survive. So if we're 162 00:09:22,200 --> 00:09:27,120 Speaker 1: thinking about using exercise as a means to attenuate cognitive 163 00:09:27,160 --> 00:09:32,400 Speaker 1: decline or cardiovascular risk factors, or look at DNA and 164 00:09:33,040 --> 00:09:36,000 Speaker 1: telemere length. Right, So if we're adding different intensities or 165 00:09:36,040 --> 00:09:40,120 Speaker 1: different modes of activity, it's creating different stresses, not only 166 00:09:40,120 --> 00:09:42,640 Speaker 1: in a whole systems level, but on that cellular level. 167 00:09:43,040 --> 00:09:46,199 Speaker 1: Body has to understand what is oxidative stress? What is 168 00:09:48,000 --> 00:09:50,679 Speaker 1: you know some of the feedback mechanisms, How do we 169 00:09:50,880 --> 00:09:54,839 Speaker 1: increase our MCT ones versus our mct fours for lactate transport. 170 00:09:55,200 --> 00:09:59,360 Speaker 1: So there's all these things that respond to intensity duration. 171 00:10:00,280 --> 00:10:03,960 Speaker 1: We look at resistance training versus aerobic all of those 172 00:10:04,320 --> 00:10:07,640 Speaker 1: encounter and create a different stress on the body. And 173 00:10:07,679 --> 00:10:10,960 Speaker 1: the body in itself is not like this linear algorithm 174 00:10:11,040 --> 00:10:13,559 Speaker 1: that's like, oh, you walk three times a week, so 175 00:10:13,600 --> 00:10:15,600 Speaker 1: we're going to allow you to walk three times a week. 176 00:10:15,640 --> 00:10:18,160 Speaker 1: It's like, oh, okay, you walk hills three times a week. 177 00:10:18,200 --> 00:10:21,680 Speaker 1: We want to overcome that and develop more bone density 178 00:10:21,800 --> 00:10:24,280 Speaker 1: and more muscle mass so when you go out again, 179 00:10:24,360 --> 00:10:26,720 Speaker 1: your heart rate doesn't go up as high. So it's 180 00:10:27,000 --> 00:10:30,120 Speaker 1: one of those things that people I don't really think 181 00:10:30,320 --> 00:10:34,720 Speaker 1: about understanding because we've been put in this sedentary box 182 00:10:34,720 --> 00:10:36,839 Speaker 1: and we have major farm and that's like here, take this, 183 00:10:36,920 --> 00:10:39,320 Speaker 1: Take this, take this. When we back it down and 184 00:10:39,360 --> 00:10:44,640 Speaker 1: look at how exercise creates this perturbation to the systems 185 00:10:44,960 --> 00:10:48,360 Speaker 1: and creates a catabolic response while we're exercising, creates these 186 00:10:48,720 --> 00:10:54,440 Speaker 1: oxidative responses, creates this incredible blood flow diversion from our 187 00:10:55,720 --> 00:10:59,400 Speaker 1: main central organs while we're exercising, and in response, the 188 00:10:59,440 --> 00:11:01,800 Speaker 1: body is like, wait, I need to be able to 189 00:11:01,840 --> 00:11:06,280 Speaker 1: overcome this and survive. So it puts in that adaptive response, 190 00:11:06,280 --> 00:11:07,360 Speaker 1: and this is how we get fitter. 191 00:11:07,760 --> 00:11:10,400 Speaker 2: Yeah. And I will often say to people, I've spoken 192 00:11:10,480 --> 00:11:14,040 Speaker 2: to thousands of people about exercise over the years, some 193 00:11:14,120 --> 00:11:16,480 Speaker 2: people go, yes, I love it, and others go, I 194 00:11:16,520 --> 00:11:19,079 Speaker 2: don't like it because that makes me uncomfortable. And my 195 00:11:19,240 --> 00:11:24,320 Speaker 2: response is it's supposed to be bloody uncomfortable, right, right, right. 196 00:11:24,559 --> 00:11:26,960 Speaker 1: And this is the thing I get countered when I say, 197 00:11:27,080 --> 00:11:30,280 Speaker 1: you know, do high intensity interval training and spread interval 198 00:11:30,320 --> 00:11:33,240 Speaker 1: training and heavy resistance training, because these are the harm 199 00:11:33,280 --> 00:11:36,120 Speaker 1: works we know that improve not only muscle function and 200 00:11:36,160 --> 00:11:39,320 Speaker 1: metabolic health, but also brain health. And people are like, well, 201 00:11:39,440 --> 00:11:41,000 Speaker 1: I don't want to do it. I'll like, you have 202 00:11:41,080 --> 00:11:44,040 Speaker 1: to challenge yourself. We're not designed to sit in a 203 00:11:44,120 --> 00:11:48,480 Speaker 1: chair in twenty degree celsius rooms all day, every day. 204 00:11:48,640 --> 00:11:51,520 Speaker 1: That's the body is just not going to adapt. What 205 00:11:51,559 --> 00:11:54,120 Speaker 1: it's going to do is become complacent, and it's not 206 00:11:54,160 --> 00:11:55,600 Speaker 1: going to respond to stress. 207 00:11:56,080 --> 00:11:59,440 Speaker 2: So yeah, you know, there's a quote that I will 208 00:11:59,480 --> 00:12:03,400 Speaker 2: often use from the stoic philosopher Epictitis that I think 209 00:12:03,440 --> 00:12:05,840 Speaker 2: you're going to love if you have aren't already familiar 210 00:12:05,920 --> 00:12:09,199 Speaker 2: with it. He said, we must all undergo a hard 211 00:12:09,400 --> 00:12:13,720 Speaker 2: winter training and not enter into lightly that for which 212 00:12:13,720 --> 00:12:16,880 Speaker 2: we have not prepared. And he was talking about life. 213 00:12:17,400 --> 00:12:22,559 Speaker 1: It's perfect, that is yeah, that is yeah, Okay, I'm 214 00:12:22,559 --> 00:12:24,240 Speaker 1: going to put that on the website. 215 00:12:23,800 --> 00:12:27,320 Speaker 2: Now, Yeah, I'll send that through. I thought you'd like that. 216 00:12:27,679 --> 00:12:31,400 Speaker 2: So when I did my Masters in Exercise science thirty 217 00:12:31,600 --> 00:12:37,280 Speaker 2: thirty years ago, I'm showing my age here. We were 218 00:12:37,360 --> 00:12:42,439 Speaker 2: taught about mio kinds back then, right, And the understanding 219 00:12:42,480 --> 00:12:45,959 Speaker 2: of myo kinds back then were that these are molecules 220 00:12:46,000 --> 00:12:50,439 Speaker 2: inside the muscle that helped to shake the lucose and 221 00:12:50,520 --> 00:12:53,920 Speaker 2: fat and turn it into energy for the muscle, for 222 00:12:53,960 --> 00:12:58,960 Speaker 2: cellular muscle contraction. And then those mayo kinds then help 223 00:12:59,000 --> 00:13:02,960 Speaker 2: your muscles get bigger, stronger, right, And we know that 224 00:13:02,960 --> 00:13:06,760 Speaker 2: that is still true, that is absolutely true. But we 225 00:13:06,880 --> 00:13:11,040 Speaker 2: now know that these myokinds get outside of our muscle 226 00:13:11,080 --> 00:13:15,760 Speaker 2: and into circulation. And I describe it as just widespread 227 00:13:16,000 --> 00:13:19,240 Speaker 2: magic that happens throughout the body and the brain. So 228 00:13:20,000 --> 00:13:24,400 Speaker 2: take our listeners through myokindes. Just give us the ten 229 00:13:24,520 --> 00:13:26,960 Speaker 2: thousand foot few of mayokines, and then feel three to 230 00:13:27,080 --> 00:13:28,320 Speaker 2: dive in wherever you want to. 231 00:13:28,679 --> 00:13:31,000 Speaker 1: Yeah, I explained it to my daughter the other day. 232 00:13:31,040 --> 00:13:34,280 Speaker 1: There are soldiers, So when your muscles under stress, right, 233 00:13:34,440 --> 00:13:36,440 Speaker 1: you have the soldiers that come and go what's going 234 00:13:36,440 --> 00:13:38,680 Speaker 1: on and want to protect it. I can't protect it 235 00:13:38,760 --> 00:13:41,319 Speaker 1: right here. I have to also go out and tell 236 00:13:41,400 --> 00:13:45,119 Speaker 1: the bigger system that something is going on. So the soldiers, 237 00:13:45,280 --> 00:13:48,040 Speaker 1: the maokines are trying to protect the muscle fibers by 238 00:13:48,120 --> 00:13:51,760 Speaker 1: creating a feedback mechanism to not completely destroy any of 239 00:13:51,760 --> 00:13:54,160 Speaker 1: the cellular components within the muscle so it can still 240 00:13:54,200 --> 00:13:56,920 Speaker 1: function when the stress is gone. But they also come 241 00:13:56,920 --> 00:13:59,600 Speaker 1: out because they're like, wait a second, I need more fuel. 242 00:14:00,200 --> 00:14:02,240 Speaker 1: I need to go find the bigger system and say 243 00:14:02,240 --> 00:14:04,800 Speaker 1: I need to bring some more fuel in so it'll 244 00:14:04,840 --> 00:14:08,760 Speaker 1: find like visceral fat and say hey, we don't need 245 00:14:08,840 --> 00:14:11,400 Speaker 1: fat to be stored there. We need it to be 246 00:14:11,640 --> 00:14:14,840 Speaker 1: deestrified and released so we can bring it to the mitochondria. 247 00:14:15,400 --> 00:14:18,040 Speaker 1: So you have this feedback mechanism that's telling the liver 248 00:14:18,240 --> 00:14:21,000 Speaker 1: not to take estterfied fatty acids and store it as 249 00:14:21,000 --> 00:14:24,320 Speaker 1: a visceral fat. We have things that the brain should require, 250 00:14:24,400 --> 00:14:27,600 Speaker 1: so we look at lactate and intensity of lactate production. 251 00:14:28,120 --> 00:14:31,440 Speaker 1: Most people think that lactate is a metabolic waste product, 252 00:14:31,480 --> 00:14:34,760 Speaker 1: but we know that it's not right. See, the brain 253 00:14:34,880 --> 00:14:37,560 Speaker 1: is a lactate producer at rest, and it's a lactate 254 00:14:38,040 --> 00:14:41,560 Speaker 1: user and uptake uptaker I guess is the best way 255 00:14:41,560 --> 00:14:44,560 Speaker 1: to put it during exercise. So the myicinds are like, Okay, 256 00:14:44,640 --> 00:14:48,080 Speaker 1: let's stimulate a leve percent more uptake into the brain 257 00:14:48,160 --> 00:14:50,400 Speaker 1: of lactate. So we have to stimulate some more of 258 00:14:50,440 --> 00:14:53,440 Speaker 1: the mct ones in fource, so let's get those going. 259 00:14:53,880 --> 00:14:58,160 Speaker 1: So we have these little soldiers that are really messengers 260 00:14:58,720 --> 00:15:02,040 Speaker 1: that affect every system the body when you're exercising to 261 00:15:02,320 --> 00:15:05,680 Speaker 1: create an adaptive response that we want. We want to 262 00:15:05,720 --> 00:15:09,720 Speaker 1: have better muscle function, We want to have better translocation 263 00:15:10,040 --> 00:15:13,840 Speaker 1: of those little glute for proteins that open up the 264 00:15:13,920 --> 00:15:18,320 Speaker 1: cell to bring more carbohydrate and glucose in to be stored. 265 00:15:18,800 --> 00:15:21,840 Speaker 1: We want to have the liver understand that we don't 266 00:15:21,880 --> 00:15:24,880 Speaker 1: want to circulate all these estrified fatty acids to be 267 00:15:24,920 --> 00:15:27,280 Speaker 1: stored as that deep abdominal fat. We want to be 268 00:15:27,320 --> 00:15:29,880 Speaker 1: able to convert it and use it and store it 269 00:15:29,920 --> 00:15:34,120 Speaker 1: within the muscle. So we have all these feedback mechanisms 270 00:15:34,240 --> 00:15:39,400 Speaker 1: that come and they're so incredibly important because they really 271 00:15:39,480 --> 00:15:42,480 Speaker 1: are only released when we are looking at exercise and 272 00:15:42,520 --> 00:15:46,200 Speaker 1: the muscle function that occurs during exercise. We see that 273 00:15:46,320 --> 00:15:50,080 Speaker 1: high intensity exercise increases more of the mykines that are 274 00:15:50,080 --> 00:15:55,480 Speaker 1: responsible for discussing with the brain in lactate uptake. We 275 00:15:55,520 --> 00:15:59,200 Speaker 1: see that super high sprint interval type training, so that 276 00:15:59,280 --> 00:16:03,920 Speaker 1: super super high intency creates more of a bigenetic signaling 277 00:16:03,960 --> 00:16:08,200 Speaker 1: and change to translocate more of those glute forward proteins 278 00:16:08,240 --> 00:16:11,040 Speaker 1: so that we have a reduction in the insulin resistance. 279 00:16:11,480 --> 00:16:14,720 Speaker 1: So there's so many things that occur with these signals 280 00:16:14,720 --> 00:16:16,880 Speaker 1: and these little soldiers that do their jobs. 281 00:16:16,640 --> 00:16:18,600 Speaker 2: So well, there's a few things I want to double 282 00:16:18,600 --> 00:16:21,160 Speaker 2: click on in there. The first one, let's just stick 283 00:16:21,200 --> 00:16:25,040 Speaker 2: the last one. You mentioned glute four protein. So I 284 00:16:25,120 --> 00:16:28,000 Speaker 2: remember finding out about these things and oh my god, 285 00:16:28,040 --> 00:16:30,360 Speaker 2: they're so cool. Right, And the way that I sort 286 00:16:30,360 --> 00:16:33,880 Speaker 2: of explain it to people is the way that glucose 287 00:16:33,960 --> 00:16:37,520 Speaker 2: generally gets into the sale. It's think of your trying 288 00:16:37,560 --> 00:16:40,640 Speaker 2: to get into a nightclub and there's bouncers on the door, 289 00:16:40,920 --> 00:16:44,520 Speaker 2: and the bouncers is basically the insulin receptor, right, So 290 00:16:44,640 --> 00:16:47,760 Speaker 2: we'd use insulin to get in, but then when that's 291 00:16:47,840 --> 00:16:51,080 Speaker 2: full of that line is is just jam packed, you 292 00:16:51,120 --> 00:16:54,320 Speaker 2: can actually sneak around the back and get in through 293 00:16:54,360 --> 00:16:59,080 Speaker 2: the glute forward door, right right. Talk to us about 294 00:16:59,520 --> 00:17:04,200 Speaker 2: Why this is so important, particularly given the high prevalence 295 00:17:04,840 --> 00:17:09,320 Speaker 2: of diabetes and then the cousin of diabetes type three 296 00:17:09,359 --> 00:17:13,159 Speaker 2: diabetes are Alzheimer's disease in the brion. Why is how 297 00:17:13,200 --> 00:17:15,480 Speaker 2: does coluct for play a role here? 298 00:17:15,680 --> 00:17:21,280 Speaker 1: They are specific proteins that when we see the muscle 299 00:17:21,520 --> 00:17:26,359 Speaker 1: needs more glucose for fuel, that there's that signal to okay, 300 00:17:26,440 --> 00:17:30,080 Speaker 1: let's translocate these little proteins from within the matrix to 301 00:17:30,359 --> 00:17:33,800 Speaker 1: the cell membrane. So when it gets translocated, that means 302 00:17:33,840 --> 00:17:36,480 Speaker 1: it comes to the cell membrane, pokes a little hole through, 303 00:17:36,720 --> 00:17:39,879 Speaker 1: opens it up, and it's like waving a flag going hello, glucose, 304 00:17:39,920 --> 00:17:42,879 Speaker 1: come on in, so we don't need insulin. And for 305 00:17:43,000 --> 00:17:49,000 Speaker 1: women we see there is estrogen alpha receptor, an estradyle 306 00:17:49,080 --> 00:17:52,719 Speaker 1: receptor that also signals that to happen. So this is 307 00:17:52,760 --> 00:17:56,200 Speaker 1: why we start to see that insulin resistance occurring when 308 00:17:56,440 --> 00:18:01,679 Speaker 1: we are hitting late perimenopause, when we start having a 309 00:18:01,760 --> 00:18:05,760 Speaker 1: decline in our estrogen, we are not stimulating those receptors. 310 00:18:05,760 --> 00:18:09,520 Speaker 1: We're not getting as much feedback for those glute for translocation, 311 00:18:10,200 --> 00:18:12,879 Speaker 1: which is why again we look at high intensity work 312 00:18:13,000 --> 00:18:16,879 Speaker 1: that uses a lot of glucose to translocate more of 313 00:18:16,920 --> 00:18:21,240 Speaker 1: those proteins to that cell wall to bring in more 314 00:18:21,280 --> 00:18:22,600 Speaker 1: glucose without insulin. 315 00:18:22,960 --> 00:18:25,919 Speaker 2: And is that one of the reasons that drop an 316 00:18:26,080 --> 00:18:29,760 Speaker 2: estrogen and that little pathway of glucose into the cell. 317 00:18:30,640 --> 00:18:32,520 Speaker 2: Is this one of the reasons, And we'll get into 318 00:18:32,520 --> 00:18:35,280 Speaker 2: this more in detailed liater, but is that one of 319 00:18:35,320 --> 00:18:38,800 Speaker 2: the reasons why women tend to put on we it 320 00:18:38,880 --> 00:18:41,960 Speaker 2: when they go through menopause? Is that one of the causes, 321 00:18:42,000 --> 00:18:44,840 Speaker 2: But it's more insulin resistance or just at a rise 322 00:18:44,880 --> 00:18:45,560 Speaker 2: in blood sugar. 323 00:18:45,800 --> 00:18:48,640 Speaker 1: Part of it is insulin resistance, but the other is 324 00:18:48,920 --> 00:18:52,960 Speaker 1: the anti inflammatory response that estrogen causes. And when you 325 00:18:53,040 --> 00:18:56,360 Speaker 1: drop estrogen, you have a little bit of mitochondrial dysfunction, 326 00:18:56,600 --> 00:18:59,840 Speaker 1: so now you're having extra free fatty acids. And then 327 00:19:00,200 --> 00:19:05,120 Speaker 1: when you have extra free fatty acids, their circulation becomes estrified, right, 328 00:19:05,160 --> 00:19:07,680 Speaker 1: and so you get those estrophied fatty acids that then 329 00:19:07,720 --> 00:19:10,840 Speaker 1: get picked up by the liver, and the liver's like, okay, 330 00:19:10,880 --> 00:19:13,800 Speaker 1: we're going to store you in around the organs as visceral. 331 00:19:13,520 --> 00:19:14,840 Speaker 2: Fat vistral fat. Yeah. 332 00:19:15,640 --> 00:19:19,159 Speaker 1: Interesting, yeah, So it's the combination of the insulin resistance, 333 00:19:19,800 --> 00:19:22,120 Speaker 1: so you're not getting as much glucose in, so you're 334 00:19:22,119 --> 00:19:25,960 Speaker 1: not able to utilize free fatty acids because you need 335 00:19:26,359 --> 00:19:30,320 Speaker 1: glucose in order to make the mitochondria go oh yeah, okay, 336 00:19:30,359 --> 00:19:33,200 Speaker 1: I need to bring in more free fatty acids. So 337 00:19:33,240 --> 00:19:36,400 Speaker 1: it's kind of a block. You're not getting the glucose 338 00:19:36,440 --> 00:19:39,639 Speaker 1: in because of insulin resistance, You're getting more free fatty 339 00:19:39,680 --> 00:19:43,480 Speaker 1: acid circulating, which then get switched over to estrophied fatty 340 00:19:43,480 --> 00:19:47,160 Speaker 1: acids and you get this cascade effect of insulin resistance 341 00:19:47,320 --> 00:19:51,200 Speaker 1: visceral fat. So we can change that through exercise. 342 00:19:52,119 --> 00:19:55,960 Speaker 2: And is this one of the reasons why that when 343 00:19:56,000 --> 00:20:01,200 Speaker 2: women go through men a pause, they're cardiovascar risk starts 344 00:20:01,240 --> 00:20:03,520 Speaker 2: to normalize towards man Yes. 345 00:20:03,960 --> 00:20:07,080 Speaker 1: Yes, we see a significant shift in the lipid profile 346 00:20:07,640 --> 00:20:10,920 Speaker 1: for women who are late perimenopause, where there's an increase 347 00:20:10,920 --> 00:20:16,400 Speaker 1: in our LDL, decrease in HDL, some changes in triglycerides, 348 00:20:16,520 --> 00:20:20,080 Speaker 1: but we're seeing a negative change in our cholesterol on 349 00:20:20,119 --> 00:20:23,560 Speaker 1: our blood lipids. Part of it is that whole issue 350 00:20:23,600 --> 00:20:26,320 Speaker 1: that I was talking about with the free fatty acids 351 00:20:26,320 --> 00:20:30,159 Speaker 1: and estrified fats and that kind of stuff and insulin resistance, 352 00:20:30,800 --> 00:20:34,480 Speaker 1: and then as we're having that downturn of estradyl's effect 353 00:20:34,720 --> 00:20:40,119 Speaker 1: on our cell and cell metabolism and anti inflammatory responses. 354 00:20:40,200 --> 00:20:44,240 Speaker 1: We start to see cardiovascular respectors across the board increase, 355 00:20:44,760 --> 00:20:48,240 Speaker 1: not only from the lipid profile but also cardiovascular function. 356 00:20:48,840 --> 00:20:53,720 Speaker 1: We see a decrease in our ability to have normal 357 00:20:53,760 --> 00:20:58,119 Speaker 1: blood pressure because of endothelial function that's controlled by estradyl. 358 00:20:58,600 --> 00:21:01,560 Speaker 1: So there's a cascade effect that estrogen and to the 359 00:21:01,600 --> 00:21:06,320 Speaker 1: extent their different receptors have with regards to cardiovascular health 360 00:21:06,400 --> 00:21:10,880 Speaker 1: and metabolic health. But again interesting, we can look at exercise. 361 00:21:10,720 --> 00:21:13,000 Speaker 2: Yes, and we will come back on that in terms 362 00:21:13,040 --> 00:21:17,920 Speaker 2: of exercise as an intervention, but let's not I mean, 363 00:21:18,520 --> 00:21:21,680 Speaker 2: we use the lactiat as an intro here, but let's 364 00:21:21,760 --> 00:21:28,080 Speaker 2: talk about more generally the role of exercise and Brian health. 365 00:21:28,400 --> 00:21:31,320 Speaker 2: Because I first came across this when was that I 366 00:21:31,320 --> 00:21:34,400 Speaker 2: started doing fables, maybe ten twelve years ago. I first 367 00:21:34,400 --> 00:21:38,760 Speaker 2: came across BDNF with the paper by Mark Mattson and 368 00:21:38,880 --> 00:21:43,399 Speaker 2: started diving into that and then just started really talking 369 00:21:43,400 --> 00:21:46,040 Speaker 2: about the impact of exercise on Brian health. So give 370 00:21:46,119 --> 00:21:51,040 Speaker 2: our listeners the overview and then again feel free to 371 00:21:51,119 --> 00:21:54,679 Speaker 2: dive in wherever you want. So why is it so 372 00:21:55,119 --> 00:21:58,119 Speaker 2: important for Brian health? Actually, let me let let me 373 00:21:58,160 --> 00:22:01,359 Speaker 2: dive firse. I remember a quote by Professor Frank Booth. 374 00:22:01,800 --> 00:22:04,440 Speaker 2: The human genome has not changed in over forty five 375 00:22:04,520 --> 00:22:09,280 Speaker 2: thousand years, and the current human genome requires and expects 376 00:22:09,440 --> 00:22:13,920 Speaker 2: us to be highly physically active for normal functioning. Right, 377 00:22:14,720 --> 00:22:19,040 Speaker 2: And I often say, nowhere is that statement more true 378 00:22:19,400 --> 00:22:23,000 Speaker 2: than in the human brain. So why is our brain 379 00:22:23,760 --> 00:22:29,920 Speaker 2: so dependent upon physical activity for normal function? And then 380 00:22:29,920 --> 00:22:31,520 Speaker 2: we can talk about optimal function? 381 00:22:31,800 --> 00:22:35,440 Speaker 1: Yeah, so I mean the neuroplasticity is a big thing 382 00:22:35,480 --> 00:22:37,960 Speaker 1: that keeps coming up in longevity. So what does that mean? 383 00:22:38,000 --> 00:22:41,560 Speaker 1: It means the brain changes with different stressors. Right, So 384 00:22:41,640 --> 00:22:44,240 Speaker 1: we're thinking about if we sit down all day and 385 00:22:44,240 --> 00:22:46,800 Speaker 1: we're at the computer screen, or maybe we do some 386 00:22:46,880 --> 00:22:50,000 Speaker 1: soduku or wordle or whatever it is, because we heard 387 00:22:50,040 --> 00:22:53,359 Speaker 1: that improves brain health. It only keeps it within the 388 00:22:53,440 --> 00:22:56,919 Speaker 1: confounds of a small box. There's no real stress on 389 00:22:57,160 --> 00:23:00,480 Speaker 1: when we look at exercise because exercise is such a 390 00:23:00,520 --> 00:23:03,679 Speaker 1: strong stress with blood flow diversion. Right, So we have 391 00:23:03,800 --> 00:23:06,720 Speaker 1: to find adequate and optimal blood flow to keep the 392 00:23:06,760 --> 00:23:10,919 Speaker 1: brain going as well as muscle metabolism and function. So 393 00:23:11,440 --> 00:23:13,919 Speaker 1: we're seeing a little bit of heated blood. Of course, 394 00:23:14,000 --> 00:23:16,359 Speaker 1: so the hypothalamus is reading it as an increase in 395 00:23:16,400 --> 00:23:19,119 Speaker 1: core temperature and the brain is like, how do I 396 00:23:19,160 --> 00:23:21,200 Speaker 1: deal with this? Okay, well, we have to find other 397 00:23:21,240 --> 00:23:25,120 Speaker 1: pathways to improve sweating. We have to find greater capacity 398 00:23:25,160 --> 00:23:29,200 Speaker 1: for increasing vasodilation. So it becomes very active in how 399 00:23:29,240 --> 00:23:31,320 Speaker 1: am I going to survive this increase in heat? So 400 00:23:31,359 --> 00:23:37,120 Speaker 1: you're getting this feedback to increase thermoregulatory aspects. Not only that, 401 00:23:37,240 --> 00:23:40,520 Speaker 1: we're having a lot of blood flow diversion from the gut, 402 00:23:40,560 --> 00:23:44,240 Speaker 1: which affects gut microbiome, right, And we're seeing that when 403 00:23:44,280 --> 00:23:49,120 Speaker 1: we have that hypoxym blood flow diversion, we increase our anaerobes. 404 00:23:49,359 --> 00:23:53,560 Speaker 1: So we're seeing an increase in our anaerobic bacteria and 405 00:23:54,040 --> 00:23:58,120 Speaker 1: we see more of the bacteria associated with positive health 406 00:23:58,160 --> 00:24:02,159 Speaker 1: outcomes lane mass and increased serotonin and B and F 407 00:24:02,920 --> 00:24:04,760 Speaker 1: when we have more of those anaerobs. 408 00:24:04,880 --> 00:24:05,040 Speaker 2: Right. 409 00:24:05,119 --> 00:24:08,200 Speaker 1: So with that blood flow diversion away from the gut 410 00:24:08,320 --> 00:24:11,119 Speaker 1: and we have that hypoxia, we're getting the growth and 411 00:24:11,200 --> 00:24:14,240 Speaker 1: stimulus of the bacteria that's responsible for increased B, D 412 00:24:14,359 --> 00:24:14,639 Speaker 1: and F. 413 00:24:15,520 --> 00:24:19,560 Speaker 2: Are these aners sorry, are these anaerobes just in the gut. 414 00:24:19,440 --> 00:24:22,119 Speaker 1: For the most part, Yes, in the deep colon, so 415 00:24:22,160 --> 00:24:24,560 Speaker 1: it's not in the upper gut, it's in the lower got. 416 00:24:24,880 --> 00:24:28,000 Speaker 1: And then we also see the lactate aspect, right, So, 417 00:24:28,240 --> 00:24:31,080 Speaker 1: as I was saying earlier, when we're doing intensity or 418 00:24:31,119 --> 00:24:34,560 Speaker 1: even steady state with some lactate production, because it does happen, 419 00:24:35,440 --> 00:24:40,000 Speaker 1: we're seeing the brain using its preferred fuel. So people go, oh, 420 00:24:40,040 --> 00:24:43,720 Speaker 1: glucose metabolism, it's essential for brain health. That's why the 421 00:24:43,720 --> 00:24:46,280 Speaker 1: big ketogenic diet thing came out a while ago. But 422 00:24:46,320 --> 00:24:49,520 Speaker 1: now we're learning more and more about how lactate is 423 00:24:49,920 --> 00:24:53,680 Speaker 1: necessary for glial cell conversation. So these are our neurons 424 00:24:53,840 --> 00:24:58,200 Speaker 1: ability to have conversation. Not only does lactate improve that, 425 00:24:58,280 --> 00:25:03,560 Speaker 1: but lactate also stimulates BDNF production. So when we're looking 426 00:25:03,600 --> 00:25:07,480 Speaker 1: at exercise, there's so many different feedback mechanisms that create 427 00:25:07,520 --> 00:25:11,280 Speaker 1: the fertilizer for the brain. So BDNF is response before 428 00:25:11,480 --> 00:25:15,800 Speaker 1: increasing the volume and the tissue of the brain. But 429 00:25:15,840 --> 00:25:18,600 Speaker 1: then we also look at things like resistance training and 430 00:25:18,640 --> 00:25:24,600 Speaker 1: the neuroplasticity that that occurs, which increases the gray matter conversation. Right, 431 00:25:24,680 --> 00:25:27,920 Speaker 1: So we're looking at more dendrites that are having conversations, 432 00:25:27,960 --> 00:25:33,120 Speaker 1: and so we're putting down increased pathways of conversation, which 433 00:25:33,160 --> 00:25:36,800 Speaker 1: improves brain health. So when we're looking at brain health 434 00:25:36,800 --> 00:25:41,280 Speaker 1: and exercise, it's important to do both aerobic anaerobic activity, 435 00:25:41,920 --> 00:25:45,320 Speaker 1: more so anaerobic for women because we are born with 436 00:25:45,480 --> 00:25:48,400 Speaker 1: less glycolytic fibers, so we have to keep training them 437 00:25:48,440 --> 00:25:52,399 Speaker 1: to produce that tape. Yeah, and then we also have 438 00:25:52,480 --> 00:25:55,040 Speaker 1: to look at resistance training both men and women to 439 00:25:55,240 --> 00:26:00,159 Speaker 1: keep that neuroplasticity and keep the gray matter in those conversations. 440 00:26:00,240 --> 00:26:04,840 Speaker 2: Very interesting, and there's an independent mechanism for BD and 441 00:26:05,000 --> 00:26:08,440 Speaker 2: F production in the brand. I know lacked it, but aricent. 442 00:26:08,720 --> 00:26:11,680 Speaker 2: I don't know whether Americans pronounced that irison or whether 443 00:26:11,760 --> 00:26:15,480 Speaker 2: you say a risin, but that also is that's a 444 00:26:15,520 --> 00:26:18,639 Speaker 2: mile kind that also stimulates the production of BDNF. 445 00:26:18,880 --> 00:26:22,480 Speaker 1: Yes, it is. It is definitely, And I mean that's 446 00:26:22,480 --> 00:26:23,600 Speaker 1: something else where people. 447 00:26:23,480 --> 00:26:25,800 Speaker 3: Are like, well, you know, I'm just going to do 448 00:26:25,920 --> 00:26:27,879 Speaker 3: zone two, where it was like, okay, well you can 449 00:26:27,920 --> 00:26:31,000 Speaker 3: do zone two work for if you're a guy, because 450 00:26:31,000 --> 00:26:33,160 Speaker 3: you need that, but as a woman, you're not going 451 00:26:33,200 --> 00:26:35,600 Speaker 3: to get the same earson, and you're also not going 452 00:26:35,640 --> 00:26:39,040 Speaker 3: to get the same I guess conversation for BD and 453 00:26:39,200 --> 00:26:42,840 Speaker 3: F and increasing our LAC tape metabolism. So this is 454 00:26:42,880 --> 00:26:45,600 Speaker 3: where we start looking at the sex differences that come 455 00:26:45,640 --> 00:26:46,800 Speaker 3: into play for brain health. 456 00:26:46,920 --> 00:26:49,880 Speaker 2: I mean, the listeners might be going why they're majoring 457 00:26:49,920 --> 00:26:53,960 Speaker 2: so much on BDNF. I mean, BD and F does it? 458 00:26:54,640 --> 00:26:57,800 Speaker 2: Some people describe it as miracle grow for the briand 459 00:26:57,880 --> 00:26:59,720 Speaker 2: it is. You know that that thing that they is 460 00:26:59,880 --> 00:27:03,040 Speaker 2: like a fertilizer they had in America, but it is. 461 00:27:03,119 --> 00:27:05,960 Speaker 2: It does act like that, doesn't It helps new connections 462 00:27:06,200 --> 00:27:09,199 Speaker 2: between brain sales. It helps you to grow new brain sales, 463 00:27:09,240 --> 00:27:11,680 Speaker 2: which we didn't think was possible to in lightteen ninety seven. 464 00:27:12,320 --> 00:27:15,080 Speaker 2: And it actually protects the brain sales that you have 465 00:27:15,160 --> 00:27:20,199 Speaker 2: against damage, either stress induced damage or traumatic brain injury. 466 00:27:20,320 --> 00:27:22,800 Speaker 2: So there are drug companies all around the world are 467 00:27:22,800 --> 00:27:25,000 Speaker 2: trying to synthesize BD and F and get it in 468 00:27:25,040 --> 00:27:27,760 Speaker 2: a pill form to deliver it to the brain. But 469 00:27:27,960 --> 00:27:30,640 Speaker 2: until then, the best source of it is physical activity. 470 00:27:30,840 --> 00:27:34,399 Speaker 1: Yeah, and we do see that depending on where in 471 00:27:34,440 --> 00:27:37,240 Speaker 1: the brain that you're hit for a TBI in concussion 472 00:27:37,640 --> 00:27:40,560 Speaker 1: can directly affect your recovery because of BD and F, 473 00:27:41,200 --> 00:27:44,200 Speaker 1: So we see, you know, we're getting more and more 474 00:27:44,240 --> 00:27:48,040 Speaker 1: research about sex differences in recovery, but also where the 475 00:27:48,080 --> 00:27:50,760 Speaker 1: brain has been hit the most, like in a concussion, 476 00:27:50,840 --> 00:27:53,720 Speaker 1: is it rebound or is it directed? Because then that 477 00:27:53,760 --> 00:27:57,800 Speaker 1: can directly influence how fast you can recover from a concussion. 478 00:27:58,320 --> 00:28:01,040 Speaker 1: And they're tracing it down to BD and F how 479 00:28:01,040 --> 00:28:04,720 Speaker 1: it stopped and it's being produced again, And so when 480 00:28:04,720 --> 00:28:08,200 Speaker 1: they're looking at return to play with regards to brain health, 481 00:28:08,280 --> 00:28:11,800 Speaker 1: they're having to rethink what do we mean by that? 482 00:28:12,240 --> 00:28:14,920 Speaker 1: With return to play with intensity, we don't want to 483 00:28:15,000 --> 00:28:17,680 Speaker 1: hit the brain again, but we also want to encourage 484 00:28:17,720 --> 00:28:21,160 Speaker 1: BD and F. So do we do that through strength training? 485 00:28:21,200 --> 00:28:23,639 Speaker 1: Do we do that through low aerobic work? Do we 486 00:28:23,680 --> 00:28:26,760 Speaker 1: do a couple of twenty second surges? So it all, 487 00:28:26,840 --> 00:28:29,320 Speaker 1: you know, there's a whole bunch of really cool research 488 00:28:29,400 --> 00:28:34,520 Speaker 1: coming out in the TBI. Mild TBI research looking at 489 00:28:34,640 --> 00:28:37,639 Speaker 1: what do we actually mean by return to play and 490 00:28:37,720 --> 00:28:38,920 Speaker 1: concussion recovery? 491 00:28:39,160 --> 00:28:42,640 Speaker 2: Interesting, very interesting. So what's the leadest Because my finger 492 00:28:42,640 --> 00:28:44,200 Speaker 2: has been on the pulse in this for a couple 493 00:28:44,240 --> 00:28:50,240 Speaker 2: of years in terms of intensity and exercise type for 494 00:28:50,720 --> 00:28:54,560 Speaker 2: maximizing BDNF I, understanding loads a few years old, the 495 00:28:54,680 --> 00:28:59,320 Speaker 2: age that it really optimizes around that lacktiate threshold because 496 00:28:59,360 --> 00:29:02,080 Speaker 2: obviously lack t it is shot leading it into the 497 00:29:02,120 --> 00:29:08,440 Speaker 2: brand as is Arisen and maybe cathepsin B. But what's 498 00:29:08,480 --> 00:29:14,720 Speaker 2: the leadst thinking on modality of exercise intensityjuriation for optimizing 499 00:29:14,760 --> 00:29:15,320 Speaker 2: BD and F. 500 00:29:15,480 --> 00:29:19,440 Speaker 1: Yeah. So Phil Ainsley and Jim Carter did this really 501 00:29:19,520 --> 00:29:22,840 Speaker 1: cool study. I think it was maybe three years ago, 502 00:29:23,920 --> 00:29:27,800 Speaker 1: maybe four years because time evades me. They looked at. 503 00:29:28,400 --> 00:29:31,160 Speaker 2: It's Jim catter ki we yeah, yeah, yeah, yeah, I 504 00:29:31,240 --> 00:29:32,880 Speaker 2: think I was wanting to Jim Carter before. Yeah. 505 00:29:32,920 --> 00:29:34,640 Speaker 1: Cool, he's down in the University of Otago. 506 00:29:35,080 --> 00:29:36,280 Speaker 2: Yeah yeah, yeah, yeah cool. 507 00:29:36,560 --> 00:29:40,480 Speaker 1: So they looked at low intensity, modern intensity, and high 508 00:29:40,560 --> 00:29:44,760 Speaker 1: intensity training and wanted to see how bad and F 509 00:29:44,840 --> 00:29:48,120 Speaker 1: responded to these three different levels. Most people thought modern 510 00:29:48,200 --> 00:29:51,680 Speaker 1: intensity or modern intensity interval training would be the best 511 00:29:51,800 --> 00:29:55,480 Speaker 1: because it's it's taxing but not too taxing. And they 512 00:29:55,560 --> 00:29:58,320 Speaker 1: found that with true high intensity work that was the 513 00:29:58,400 --> 00:30:01,440 Speaker 1: biggest bang for your bucks with regards to how much 514 00:30:01,480 --> 00:30:04,080 Speaker 1: bad and F was produced and how long the curve 515 00:30:04,360 --> 00:30:08,280 Speaker 1: was to bring it back down. High intensity work is 516 00:30:08,400 --> 00:30:11,560 Speaker 1: where you want to go. Not only that, but we 517 00:30:11,720 --> 00:30:16,840 Speaker 1: see that with that lactate production and the increased amount 518 00:30:16,920 --> 00:30:20,320 Speaker 1: of lactate in the blood, that's what creates it transient 519 00:30:20,520 --> 00:30:23,360 Speaker 1: increase in the beating as your body's trying to clear it. 520 00:30:24,400 --> 00:30:28,440 Speaker 2: Right, Okay, And in terms of the intensity, which means 521 00:30:28,520 --> 00:30:32,080 Speaker 2: different things to different people, can you remember off the 522 00:30:32,200 --> 00:30:36,600 Speaker 2: top of your head what that the methods looked like they. 523 00:30:36,640 --> 00:30:42,680 Speaker 1: Were doing wingate sprints and was thirty seconds on one 524 00:30:42,800 --> 00:30:48,800 Speaker 1: minute off by twelve. Fuck, I know, not going to 525 00:30:48,840 --> 00:30:51,360 Speaker 1: get very many people doing that, but that's what like 526 00:30:51,440 --> 00:30:52,520 Speaker 1: when you talk about high. 527 00:30:52,440 --> 00:30:55,200 Speaker 2: Intensity, that's that's real high intensity, right. 528 00:30:55,320 --> 00:30:56,600 Speaker 1: That sprint interval stuff. 529 00:30:56,680 --> 00:31:00,560 Speaker 2: Yeah. Yeah, So for the listeners are wingate, this is 530 00:31:00,840 --> 00:31:05,960 Speaker 2: thirty minutes of all out effort, and it's horrible. It 531 00:31:06,120 --> 00:31:10,360 Speaker 2: is absolutely horrible, Like because most people think, you know, 532 00:31:10,480 --> 00:31:13,800 Speaker 2: it's a thirty minute all out sprint, but your pow 533 00:31:14,000 --> 00:31:17,600 Speaker 2: drops off after ten fifteen seconds, right, so your muscles 534 00:31:17,640 --> 00:31:21,360 Speaker 2: are already struggling, and it is it's pretty brutal to 535 00:31:21,480 --> 00:31:23,920 Speaker 2: do that and then to backup, did you say a 536 00:31:24,000 --> 00:31:29,200 Speaker 2: minute rest? Wow? And into back up? How many repetitions to. 537 00:31:29,200 --> 00:31:31,320 Speaker 1: Do do so? They did? I think it was eight 538 00:31:31,400 --> 00:31:31,920 Speaker 1: to twelve. 539 00:31:32,200 --> 00:31:35,640 Speaker 2: It's twelve right, So that is that's proper. That's real 540 00:31:35,840 --> 00:31:38,000 Speaker 2: high intensity. I mean, because a lot of people talk 541 00:31:38,000 --> 00:31:43,320 Speaker 2: about high intensity interval training and it's not really high intensity, isn't. 542 00:31:44,000 --> 00:31:46,600 Speaker 1: I explained it to people. I'm like, if you think 543 00:31:47,200 --> 00:31:52,000 Speaker 1: Orange Theory F forty five CrossFit, your general gym class 544 00:31:52,080 --> 00:31:55,920 Speaker 1: is high intensity interval training, it's not. That's modern intensity. 545 00:31:56,440 --> 00:31:58,560 Speaker 1: If you can go and you're holding your heart rate, 546 00:31:59,000 --> 00:32:01,800 Speaker 1: you know, up and down for forty five to fifty minutes, 547 00:32:02,200 --> 00:32:03,560 Speaker 1: that's not incensity. 548 00:32:03,760 --> 00:32:04,440 Speaker 2: No, no way. 549 00:32:04,920 --> 00:32:08,200 Speaker 1: We're looking at one to four minute interval with one 550 00:32:08,280 --> 00:32:11,080 Speaker 1: to four minute recovery, and that's on the low end 551 00:32:11,120 --> 00:32:15,840 Speaker 1: of high intensity. For really strong impetus. We want to 552 00:32:15,880 --> 00:32:18,480 Speaker 1: do that sprintable training. And I teach people on the 553 00:32:18,480 --> 00:32:21,920 Speaker 1: assault bike, like how hard can you go for thirty seconds? Well, 554 00:32:22,000 --> 00:32:24,800 Speaker 1: your friends around you cheering you on, and you have 555 00:32:24,880 --> 00:32:27,680 Speaker 1: to beat your friends, have recovery and then beat the 556 00:32:27,760 --> 00:32:28,880 Speaker 1: meters you got the first time. 557 00:32:29,240 --> 00:32:32,920 Speaker 2: Wow, that's that's that's pretty evil. Because so I will 558 00:32:33,000 --> 00:32:35,680 Speaker 2: do so in the Norwegian four by four protocol, which 559 00:32:35,720 --> 00:32:39,000 Speaker 2: you'll be familiar with. Right, So that's four minutes of 560 00:32:39,320 --> 00:32:43,160 Speaker 2: full on work. But you know you're you're probably you're 561 00:32:43,200 --> 00:32:45,720 Speaker 2: only your heart rate between ninety and ninety five percent, 562 00:32:45,880 --> 00:32:48,160 Speaker 2: so it's tough. And then you three minute recovery and 563 00:32:48,160 --> 00:32:50,720 Speaker 2: you do that four times. That's a tough work. Guard. 564 00:32:51,280 --> 00:32:56,120 Speaker 2: I will also do this sixty second by ten, so 565 00:32:56,480 --> 00:33:00,520 Speaker 2: sixty seconds full on and in sixty seconds recovery and 566 00:33:00,640 --> 00:33:04,040 Speaker 2: do that ten times. I find that harder, significant harder 567 00:33:04,560 --> 00:33:06,760 Speaker 2: than then they're reaching four by four. I don't use 568 00:33:06,800 --> 00:33:08,840 Speaker 2: the selp out us a versa climber, which is the 569 00:33:08,920 --> 00:33:11,800 Speaker 2: only bit of equipment that is probably equally as evil 570 00:33:11,920 --> 00:33:13,720 Speaker 2: as the assault by because on both of them you 571 00:33:13,840 --> 00:33:15,720 Speaker 2: got all four limbs going yep. 572 00:33:16,280 --> 00:33:21,800 Speaker 1: Yeah, exactly, yep. This I'd say, yeah, cross country skiing 573 00:33:21,840 --> 00:33:24,000 Speaker 1: would mimic it be. It's like, yeah, there isn't an 574 00:33:24,120 --> 00:33:27,840 Speaker 1: urg except the old fashioned Nordic tract sat there anymore. 575 00:33:27,960 --> 00:33:28,360 Speaker 2: That's right. 576 00:33:28,800 --> 00:33:29,000 Speaker 1: Yeah. 577 00:33:29,440 --> 00:33:32,400 Speaker 2: Versa climber is an evil piece of equipment. I've had 578 00:33:32,440 --> 00:33:37,360 Speaker 2: mine for about fifteen years and it's still so let's 579 00:33:37,760 --> 00:33:40,680 Speaker 2: I mean. The other thing I think about brain health 580 00:33:40,720 --> 00:33:43,280 Speaker 2: as well, which not a lot of people talk about, 581 00:33:44,120 --> 00:33:50,240 Speaker 2: is the neurosymphony that happens in the brain whenever you're exercising. 582 00:33:50,720 --> 00:33:53,920 Speaker 2: I mean, everybody hears about has heard of endorphins and 583 00:33:54,240 --> 00:33:57,200 Speaker 2: an endorphins get all the plaudits, But as I said 584 00:33:57,200 --> 00:33:59,920 Speaker 2: to people, your monomines do most of the heavy lifting 585 00:34:00,320 --> 00:34:02,760 Speaker 2: when it comes to the impact of exercise, seroton the 586 00:34:02,800 --> 00:34:04,440 Speaker 2: tope of me new adren and then you've got into 587 00:34:04,480 --> 00:34:10,160 Speaker 2: cannabinois and inca falons. So I have a theory and 588 00:34:10,440 --> 00:34:15,400 Speaker 2: I just wanted to rotest this with you that significant 589 00:34:15,760 --> 00:34:19,080 Speaker 2: amounts of the mental health issues that we are facing 590 00:34:19,200 --> 00:34:23,719 Speaker 2: today are that people are geos not physically active enough 591 00:34:24,600 --> 00:34:27,520 Speaker 2: because they're not producing. If we go back to the 592 00:34:27,640 --> 00:34:32,960 Speaker 2: quote by Professor Frank Booth, the human genome requires an 593 00:34:33,000 --> 00:34:36,879 Speaker 2: expect should be highly physically active for normal functioning. Yeah, 594 00:34:37,880 --> 00:34:40,720 Speaker 2: what's your thoughts on that in terms of neurotransmitter release 595 00:34:40,760 --> 00:34:41,680 Speaker 2: in the brand and mood. 596 00:34:42,239 --> 00:34:44,920 Speaker 1: So, like I said before we came on air, like 597 00:34:45,040 --> 00:34:47,439 Speaker 1: all day, I've been writing about brain health and looking 598 00:34:47,480 --> 00:34:50,480 Speaker 1: at the news research and especially in mental health and 599 00:34:50,560 --> 00:34:55,839 Speaker 1: depression and the past I guess beginning of twenty twenty 600 00:34:55,920 --> 00:34:59,680 Speaker 1: three to a study that was produced or published last month, 601 00:35:00,040 --> 00:35:03,440 Speaker 1: it was all looking at RTC's on depression, and the 602 00:35:03,600 --> 00:35:06,160 Speaker 1: common theme that kept coming up is when people are 603 00:35:06,520 --> 00:35:11,640 Speaker 1: severely depressed, it's and then they get put into either 604 00:35:11,719 --> 00:35:15,480 Speaker 1: resistance training or high intensity work. It brings them out 605 00:35:15,520 --> 00:35:18,600 Speaker 1: of depression, keeps them out of there. So we have 606 00:35:18,719 --> 00:35:20,719 Speaker 1: to look and say, well, why is that What is 607 00:35:20,800 --> 00:35:24,200 Speaker 1: happening to the brain the one it's being challenged. Two, 608 00:35:24,440 --> 00:35:28,920 Speaker 1: Like you said, it's creating an incredible uptake and production 609 00:35:29,160 --> 00:35:32,720 Speaker 1: of our dopamine, are serotonin and all of the things 610 00:35:32,800 --> 00:35:38,040 Speaker 1: that encourage a boost in mood. Right, And because we're 611 00:35:38,120 --> 00:35:41,360 Speaker 1: having an increase in neuroplasticity from the stress that they 612 00:35:41,440 --> 00:35:46,799 Speaker 1: haven't had before, it's creating that adaptive response to say, hey, okay, yeah, 613 00:35:47,560 --> 00:35:49,719 Speaker 1: I need to keep this pathway because I don't know 614 00:35:49,760 --> 00:35:51,520 Speaker 1: when I'm going to get that stress again. So it's 615 00:35:52,000 --> 00:35:56,719 Speaker 1: creating that adaptive response. And we're saying how incredibly important 616 00:35:56,760 --> 00:36:01,000 Speaker 1: it is to have that higher stimulu us for brain 617 00:36:01,080 --> 00:36:03,920 Speaker 1: health to bring us out of that depression, helps with 618 00:36:04,040 --> 00:36:06,520 Speaker 1: anxiety as well. And then we can talk about like 619 00:36:06,680 --> 00:36:10,920 Speaker 1: using creatine to actually compound that effect, right, because we 620 00:36:11,040 --> 00:36:13,879 Speaker 1: need creating for all those fast energetics, and we're seeing 621 00:36:14,280 --> 00:36:18,160 Speaker 1: the uptake in the saturation of creating is not where 622 00:36:18,200 --> 00:36:20,880 Speaker 1: it should be optimally because of the poor diet that 623 00:36:20,960 --> 00:36:24,320 Speaker 1: most people are eating now, the ultra process foods, the 624 00:36:24,400 --> 00:36:27,719 Speaker 1: lower intake of animal products that haven't been through the 625 00:36:27,880 --> 00:36:30,080 Speaker 1: US food system, right, yes. 626 00:36:30,239 --> 00:36:33,920 Speaker 2: Yes, And I think that is a really important point 627 00:36:34,080 --> 00:36:38,360 Speaker 2: the neuroplasticity side of things, because there's a lot of 628 00:36:38,400 --> 00:36:41,840 Speaker 2: bit about antidepressants. I had a professor Mark Hargreaves on 629 00:36:41,960 --> 00:36:45,160 Speaker 2: the podcast. He was one of the guys that completely 630 00:36:45,280 --> 00:36:47,960 Speaker 2: put a balm onto the serotonin theory of depression and 631 00:36:48,200 --> 00:36:51,520 Speaker 2: showed it was complete bullshit. You know. Their theory was 632 00:36:51,600 --> 00:36:56,040 Speaker 2: that it's mostly stress and that recovery from depression is 633 00:36:56,160 --> 00:37:02,520 Speaker 2: a neuroplasticity process, and exercise creates all the conditions necessary 634 00:37:02,640 --> 00:37:06,000 Speaker 2: for neuroplasticity, right, which is why we see in the 635 00:37:06,120 --> 00:37:10,600 Speaker 2: research that exercise beats antidepressant medication hands down. I don't 636 00:37:10,600 --> 00:37:13,880 Speaker 2: know if you saw the paper recently on use with 637 00:37:14,200 --> 00:37:18,040 Speaker 2: depression and they put some of them, half of them, 638 00:37:18,280 --> 00:37:21,400 Speaker 2: it was an RCT. Half them did resistance training twice 639 00:37:21,440 --> 00:37:24,960 Speaker 2: a week and went into the remission that had an 640 00:37:25,000 --> 00:37:29,160 Speaker 2: effect size of one point seven or one point eight 641 00:37:29,840 --> 00:37:33,839 Speaker 2: like crazy. So to give the listeners some contexts, right, 642 00:37:34,040 --> 00:37:37,320 Speaker 2: Cohen's the effects size zero point two is a small 643 00:37:37,360 --> 00:37:41,080 Speaker 2: effects size, right, which means it's marginally better than placebo. 644 00:37:41,360 --> 00:37:43,200 Speaker 2: And we see with a lot of antidepressants they're not 645 00:37:43,280 --> 00:37:46,760 Speaker 2: point two. Zero point three zero point five is moderate 646 00:37:47,160 --> 00:37:48,600 Speaker 2: and correct me if I'm wrong and we're going off 647 00:37:48,640 --> 00:37:50,400 Speaker 2: the top of my head. Not point eight is a 648 00:37:50,520 --> 00:37:53,680 Speaker 2: large effects size like one point seven one point eight 649 00:37:53,880 --> 00:37:57,640 Speaker 2: it's created these bunkers. Right, If any drug came on 650 00:37:57,800 --> 00:38:00,719 Speaker 2: the market with an effects size with depression of one 651 00:38:00,760 --> 00:38:04,040 Speaker 2: point seven one point it would be an absolute blockbuster, right. 652 00:38:04,120 --> 00:38:06,000 Speaker 1: It would be a zimpeck all over again. 653 00:38:06,440 --> 00:38:09,440 Speaker 2: Yes, it would be a zimpic for the brie. And 654 00:38:09,920 --> 00:38:13,800 Speaker 2: absolutely can we do a little diversion into a zimpic? 655 00:38:14,040 --> 00:38:21,560 Speaker 2: Sure your thoughts, short term, long term probes and cons Yeah. 656 00:38:21,680 --> 00:38:24,160 Speaker 1: So, like I said at the beginning, I worked for 657 00:38:24,239 --> 00:38:28,040 Speaker 1: an obc surgeon way before any of the GPO ones 658 00:38:28,080 --> 00:38:34,440 Speaker 1: were available, and this was like full restructure obesity surgery, 659 00:38:35,080 --> 00:38:37,400 Speaker 1: and there were people who came in there were actually 660 00:38:37,960 --> 00:38:41,359 Speaker 1: still too heavy even though they were being they were 661 00:38:41,400 --> 00:38:44,839 Speaker 1: seeking obesity surgery, they were too heavy to be able 662 00:38:44,880 --> 00:38:46,920 Speaker 1: to go through the surgery. So they had to follow 663 00:38:47,400 --> 00:38:52,000 Speaker 1: a high fiber, hyprotein diet and they lost a few pounds, 664 00:38:52,040 --> 00:38:55,279 Speaker 1: but enough to reduce their respector for undergoing a ruin 665 00:38:55,480 --> 00:38:57,000 Speaker 1: y or gastric bypass. 666 00:38:57,239 --> 00:38:59,480 Speaker 2: I had admit exactly the same thing, and he had 667 00:38:59,520 --> 00:39:01,800 Speaker 2: to lose to kilos shape and qualify for the surgery. 668 00:39:01,840 --> 00:39:04,359 Speaker 2: It was one hundred and fifty kilos and not very tall. 669 00:39:04,719 --> 00:39:07,560 Speaker 1: Yeah, okay, So when we look at the effect of 670 00:39:07,680 --> 00:39:10,239 Speaker 1: high protein, high fiber, we see that increase in the 671 00:39:10,320 --> 00:39:13,680 Speaker 1: GLP one. Right, So when we're looking at ozimpac and 672 00:39:13,760 --> 00:39:17,480 Speaker 1: ozimpac is the same. You know, it's pretty much the 673 00:39:17,560 --> 00:39:20,319 Speaker 1: same as a high fiber, high protein diet, but works 674 00:39:20,360 --> 00:39:25,440 Speaker 1: a lot faster. And when I look at the outcomes, sure, 675 00:39:25,680 --> 00:39:29,439 Speaker 1: but it falls into that whole category where there isn't 676 00:39:29,440 --> 00:39:33,800 Speaker 1: any education around it, right, So you'll get people on it, 677 00:39:33,920 --> 00:39:37,360 Speaker 1: And I've worked with some who, like one was a 678 00:39:37,600 --> 00:39:40,840 Speaker 1: nurse who was involved in the research and she was overweight, 679 00:39:40,920 --> 00:39:43,640 Speaker 1: and they're like, well, if you're involved in the there's 680 00:39:43,680 --> 00:39:45,560 Speaker 1: a big trials and why didn't you get on it. 681 00:39:45,880 --> 00:39:49,680 Speaker 1: So she got on it, and in the US culture, 682 00:39:49,800 --> 00:39:52,960 Speaker 1: right of the insurance companies, she went to go get 683 00:39:53,000 --> 00:39:55,080 Speaker 1: a renewal and they're like, wait a second, you weren't 684 00:39:55,120 --> 00:39:58,440 Speaker 1: pre authorized to be on this. So then she went 685 00:39:58,520 --> 00:40:01,080 Speaker 1: to go to pre authorization but she lost enough weight 686 00:40:01,160 --> 00:40:04,480 Speaker 1: that she didn't qualify. Shit, So then she came off 687 00:40:04,560 --> 00:40:06,640 Speaker 1: it because she couldn't get it and regained all this 688 00:40:06,719 --> 00:40:10,120 Speaker 1: weight and was freaking out. She's like, what because no 689 00:40:10,280 --> 00:40:14,319 Speaker 1: one educated her on the incredible amount of lean mass 690 00:40:14,360 --> 00:40:18,520 Speaker 1: you lose in this weightless yeah, right, and how important 691 00:40:18,680 --> 00:40:23,040 Speaker 1: that is for maintaining menabolic health. So what I find 692 00:40:23,239 --> 00:40:26,440 Speaker 1: really frustrating with the whole Ozmpic thing. One we have 693 00:40:26,600 --> 00:40:29,719 Speaker 1: the vanity pounds that people want to lose. Two for 694 00:40:29,880 --> 00:40:33,160 Speaker 1: individuals who really do need it and want to go 695 00:40:33,280 --> 00:40:35,800 Speaker 1: down that route, there also needs to be the education 696 00:40:35,960 --> 00:40:38,560 Speaker 1: of what kinds of exercise they need to do to 697 00:40:38,760 --> 00:40:40,879 Speaker 1: maintain lean mass and bone health. 698 00:40:41,320 --> 00:40:43,840 Speaker 2: One hundred percent gott to be doing resistance training on 699 00:40:43,920 --> 00:40:44,520 Speaker 2: this stuff, right. 700 00:40:44,800 --> 00:40:46,640 Speaker 1: So I always bring it back to if you remember 701 00:40:46,760 --> 00:40:50,160 Speaker 1: that movie Wally that came out like twenty twelve, It 702 00:40:50,280 --> 00:40:53,160 Speaker 1: was a little robot. Okay, So there's a little robot 703 00:40:53,320 --> 00:40:55,880 Speaker 1: and he escapes and he gets into the human world. 704 00:40:56,560 --> 00:40:58,800 Speaker 1: And when he gets into the human world, all the 705 00:40:58,920 --> 00:41:02,680 Speaker 1: humans are laying down on these floating platforms looking at 706 00:41:02,719 --> 00:41:06,759 Speaker 1: a screen, completely oblivious to anything is around them, and 707 00:41:07,000 --> 00:41:10,640 Speaker 1: Wally accidentally hits one and this guy falls off and 708 00:41:10,800 --> 00:41:13,320 Speaker 1: he suddenly looks up and around, but he cannot stand 709 00:41:13,440 --> 00:41:17,360 Speaker 1: up because he's been floating and he's so overese and 710 00:41:17,520 --> 00:41:20,200 Speaker 1: doesn't have any lean mass. He cannot stand up, so 711 00:41:20,280 --> 00:41:23,080 Speaker 1: the little robot has to help him. Macabon's platform. I 712 00:41:23,160 --> 00:41:26,399 Speaker 1: like that is going to be the ozimbic, right. They're 713 00:41:26,440 --> 00:41:27,960 Speaker 1: going to lose weight, but they're not going to have 714 00:41:28,040 --> 00:41:32,600 Speaker 1: the lean mass for true function. So as an exercise physiologist, 715 00:41:32,640 --> 00:41:37,240 Speaker 1: you know, we need to teach people how to train 716 00:41:37,360 --> 00:41:39,680 Speaker 1: well while they're on it, so then when they can 717 00:41:39,920 --> 00:41:41,319 Speaker 1: and want to get off it, they can. 718 00:41:42,200 --> 00:41:45,520 Speaker 2: Yeah. Absolutely, It's like the yu Yo dieting. Right. They 719 00:41:45,640 --> 00:41:49,520 Speaker 2: lose a hypow it, but they'll lose water first, then muscle, 720 00:41:49,640 --> 00:41:53,239 Speaker 2: lean mass, including bone sometimes, and then they'll lose some 721 00:41:53,360 --> 00:41:55,680 Speaker 2: fat and then when they know it's not sustainable, they 722 00:41:55,719 --> 00:41:58,040 Speaker 2: put it back on. The water comes back on, all 723 00:41:58,120 --> 00:42:01,120 Speaker 2: the fat comes on, an extra fat, and then nan 724 00:42:01,239 --> 00:42:04,399 Speaker 2: muscle doesn't come back, and then they're back to their 725 00:42:04,600 --> 00:42:08,879 Speaker 2: original WIP, but they're proportionally more fat less muscle, which 726 00:42:08,960 --> 00:42:11,960 Speaker 2: means their metabolic ret has declined even if they eat 727 00:42:12,000 --> 00:42:14,560 Speaker 2: the same calories that then put on extra WIT and 728 00:42:14,640 --> 00:42:17,799 Speaker 2: then they go again and diet. That's what I see 729 00:42:17,920 --> 00:42:20,799 Speaker 2: as the future of this stuff, right, But the pharmaceutical 730 00:42:20,840 --> 00:42:22,560 Speaker 2: industry are loving it, right because they go, well, the 731 00:42:22,680 --> 00:42:24,080 Speaker 2: solution is just staying on for life. 732 00:42:24,440 --> 00:42:29,520 Speaker 1: Oh, I know. That's why Copenhagen's whole economic profile has 733 00:42:29,600 --> 00:42:34,719 Speaker 1: just suddenly boomed because of was impact coming out of Denmark, right, 734 00:42:34,880 --> 00:42:37,840 Speaker 1: And so we're looking at how much money is circulating. 735 00:42:37,960 --> 00:42:40,640 Speaker 1: Of course, there's a gazillion jobs that have been come up. 736 00:42:40,680 --> 00:42:43,600 Speaker 1: There's research job, there's production jobs, and it all has 737 00:42:43,640 --> 00:42:46,320 Speaker 1: to do with this pharmaceutical company and the fact that 738 00:42:46,719 --> 00:42:50,400 Speaker 1: there's so many people want it and they don't know 739 00:42:50,440 --> 00:42:52,040 Speaker 1: how to get off it. So it's the idea of 740 00:42:52,080 --> 00:42:53,160 Speaker 1: staying on it for life. 741 00:42:53,239 --> 00:42:58,640 Speaker 2: Yeah, which is a brilliant business model for your pharmacuticlt right, Dant. Now, 742 00:42:58,920 --> 00:43:00,799 Speaker 2: actually you mentioned something there. We're going to take another 743 00:43:00,880 --> 00:43:06,239 Speaker 2: little diversion. Soccopinia and osteocyclopinia, so loss of bone and 744 00:43:06,400 --> 00:43:09,640 Speaker 2: lost soycopinia's loss of muscle. I did a podcast the 745 00:43:09,719 --> 00:43:12,239 Speaker 2: other day. I was just discussing research paper. I had 746 00:43:12,320 --> 00:43:16,239 Speaker 2: two research papers in sycopenia, right, which traditionally, so for 747 00:43:16,520 --> 00:43:18,759 Speaker 2: the lay people, that's a loss of muscle where it 748 00:43:18,880 --> 00:43:22,640 Speaker 2: starts to impact your functional ability, and we typically thought 749 00:43:22,680 --> 00:43:25,160 Speaker 2: of it as a geriatric disease. Right, it kicks in 750 00:43:25,440 --> 00:43:28,360 Speaker 2: sixty five And then I read this research paper and 751 00:43:28,400 --> 00:43:31,000 Speaker 2: it was like seven percent of people in their forties 752 00:43:31,080 --> 00:43:35,279 Speaker 2: had syclopedia, And then another one just came out that 753 00:43:35,480 --> 00:43:40,560 Speaker 2: they reckon at least one in ten youths have got syclopedia. 754 00:43:41,040 --> 00:43:44,319 Speaker 2: I nearly fell off my freaking chair, Like. 755 00:43:44,880 --> 00:43:49,520 Speaker 4: The future for these people is pretty disastrous, right, Can 756 00:43:49,600 --> 00:43:53,960 Speaker 4: you just talk our listeners through the impact of that 757 00:43:54,680 --> 00:43:58,840 Speaker 4: of getting syclopedia early, even in your forties, But then, like, 758 00:43:59,160 --> 00:44:02,680 Speaker 4: what's the future looked like if you have sarcopenia in 759 00:44:02,840 --> 00:44:03,600 Speaker 4: your teams? 760 00:44:04,000 --> 00:44:06,800 Speaker 1: Yeah? Well, I'll start at the end and work my 761 00:44:06,880 --> 00:44:10,200 Speaker 1: way back. We know that muscle and leg strength is 762 00:44:10,400 --> 00:44:15,040 Speaker 1: directly correlated to cognition in older age, and they're saying 763 00:44:15,120 --> 00:44:15,560 Speaker 1: that with. 764 00:44:15,920 --> 00:44:18,840 Speaker 2: Script strength, right yeah, and grip strength yeah yeah. 765 00:44:18,760 --> 00:44:21,160 Speaker 1: Yep, And it has to do with muscle function really, right, 766 00:44:21,280 --> 00:44:23,719 Speaker 1: So the more muscle function you have, or the more 767 00:44:23,840 --> 00:44:26,719 Speaker 1: muscle you have, the stronger you are, and the better 768 00:44:26,880 --> 00:44:30,640 Speaker 1: metabolism you have it feeds forward to Brainhow So we're 769 00:44:30,640 --> 00:44:34,520 Speaker 1: looking at teens and we used to call them skinny fat, right, 770 00:44:34,640 --> 00:44:39,600 Speaker 1: but now we have to say sarcopenia. Still the same thing, 771 00:44:39,760 --> 00:44:42,600 Speaker 1: where on the outside you look nice and thin, but 772 00:44:42,719 --> 00:44:45,799 Speaker 1: on the inside you have the profile of a very sick, 773 00:44:45,880 --> 00:44:50,360 Speaker 1: metabolically sick, and obese person. Yeah, I think about the 774 00:44:51,160 --> 00:44:53,319 Speaker 1: lack of quality of life because we're going to start 775 00:44:53,320 --> 00:44:57,359 Speaker 1: seeing increased cognitive decline at an earlier stage. We're going 776 00:44:57,400 --> 00:44:59,840 Speaker 1: to see an increase in all of our metabolic burden 777 00:45:00,000 --> 00:45:03,720 Speaker 1: diseases on the public health care systems, you know, depending 778 00:45:03,760 --> 00:45:07,480 Speaker 1: on where you are, insurance company or not, lack of funding. 779 00:45:07,600 --> 00:45:12,200 Speaker 1: We're going to see an increase uptake of more drugs, to. 780 00:45:12,480 --> 00:45:15,680 Speaker 2: More drugs, and then more drugs for the secondary side 781 00:45:15,680 --> 00:45:17,160 Speaker 2: effects of the primary drugs. 782 00:45:17,360 --> 00:45:20,360 Speaker 1: Right, exactly, all of the things. This is cascade that 783 00:45:20,520 --> 00:45:24,200 Speaker 1: is starting earlier and earlier. And I'm like, well, maybe 784 00:45:24,280 --> 00:45:27,680 Speaker 1: it's Mother Nature coming in and going to kill us off, right, 785 00:45:27,920 --> 00:45:31,520 Speaker 1: because we're killing the planet. But in all regards, it's 786 00:45:31,600 --> 00:45:35,560 Speaker 1: like humanity is not being stressed in the way that 787 00:45:35,680 --> 00:45:39,480 Speaker 1: it needs to be. Well, I should say Western society humanity, 788 00:45:39,680 --> 00:45:43,040 Speaker 1: because if we think about the whole world in itself, 789 00:45:43,719 --> 00:45:48,560 Speaker 1: there's this incredible disconnect of everyone is there's so much 790 00:45:48,640 --> 00:45:52,360 Speaker 1: food available, but we see everyone is malnourished. We have 791 00:45:52,600 --> 00:45:56,120 Speaker 1: malnourishment with obesity, and we have malnourishment from lack of 792 00:45:56,200 --> 00:45:59,920 Speaker 1: calorie availability. But when we look at the health concern 793 00:46:00,239 --> 00:46:04,320 Speaker 1: that come with malnourishment and obesity, it's so much worse 794 00:46:04,719 --> 00:46:08,040 Speaker 1: than the health concerns that come with malnourishment from lack 795 00:46:08,080 --> 00:46:11,800 Speaker 1: of calories, because with the lack of calories, we're still 796 00:46:12,200 --> 00:46:17,640 Speaker 1: able to have better insulin control, you know, we have 797 00:46:18,560 --> 00:46:22,480 Speaker 1: more movement for brain health, we have the availability to 798 00:46:22,600 --> 00:46:26,520 Speaker 1: maintain a better body composition because of the movement and 799 00:46:26,640 --> 00:46:29,160 Speaker 1: activity needed to find the calories. But when we have 800 00:46:29,239 --> 00:46:32,960 Speaker 1: the malnourishment with obesity, we're just having this cascade and 801 00:46:33,120 --> 00:46:37,840 Speaker 1: wide problem of metabolic syndrome or brain health, cognitive dysfunction, 802 00:46:38,680 --> 00:46:43,480 Speaker 1: or bone density. And both men and women. Osteoporosis is 803 00:46:43,560 --> 00:46:47,239 Speaker 1: not just a woman's disease. We're seeing significant increase in men, 804 00:46:47,760 --> 00:46:50,400 Speaker 1: younger men at that too. And then the biggest thing 805 00:46:50,440 --> 00:46:53,520 Speaker 1: when I tell men is like also low testostera, and 806 00:46:53,640 --> 00:46:56,879 Speaker 1: no one wants to really acknowledge that, But we look 807 00:46:56,920 --> 00:47:01,160 Speaker 1: at the norms for iron and hormone function, the low 808 00:47:01,360 --> 00:47:05,359 Speaker 1: end of normal has shifted where things like iron needs 809 00:47:05,440 --> 00:47:10,480 Speaker 1: to be fifty for Fairton, it's now down to fifteen. 810 00:47:10,960 --> 00:47:13,680 Speaker 1: Because we're having a sicker and sicker population. So the 811 00:47:13,840 --> 00:47:15,120 Speaker 1: norms are being. 812 00:47:15,040 --> 00:47:17,560 Speaker 2: Known to dropping. Jesus Christ. 813 00:47:17,920 --> 00:47:20,399 Speaker 1: So when we try to get someone to get help, right, 814 00:47:20,880 --> 00:47:22,040 Speaker 1: but you're in the low end of. 815 00:47:22,080 --> 00:47:27,399 Speaker 2: Normal, normal, which twenty years ago was shit us right. Yeah, yeah, 816 00:47:27,520 --> 00:47:29,239 Speaker 2: And that's what a lot of people don't understand is 817 00:47:29,280 --> 00:47:32,360 Speaker 2: those blood tests are based on the norms of the population, 818 00:47:32,520 --> 00:47:34,680 Speaker 2: so they will shift over time as we get worse. 819 00:47:35,000 --> 00:47:38,040 Speaker 2: But that was a beautiful description of what the future 820 00:47:38,160 --> 00:47:42,879 Speaker 2: looks like for somebody who's getting syclopedia early because, as 821 00:47:42,960 --> 00:47:48,200 Speaker 2: you said, metabolic dysfunction, and then because their muscles don't 822 00:47:48,440 --> 00:47:51,719 Speaker 2: work well to support them, they do less and less 823 00:47:51,880 --> 00:47:55,120 Speaker 2: physical activity. Then they put on we it. Then they're 824 00:47:55,120 --> 00:47:57,719 Speaker 2: going to end up on a zempic, right, and then 825 00:47:58,640 --> 00:48:01,200 Speaker 2: you know, the whole thing gets worse. And Jesus Christ, 826 00:48:01,280 --> 00:48:04,759 Speaker 2: if you're on a zempic in your twenties, oh my god. 827 00:48:04,800 --> 00:48:07,360 Speaker 2: The future. The future does not look bride right, it 828 00:48:07,560 --> 00:48:10,920 Speaker 2: really doesn't. And I don't think we can Actually one 829 00:48:10,960 --> 00:48:14,840 Speaker 2: other thing, I've read a research paper just today that 830 00:48:15,520 --> 00:48:21,000 Speaker 2: fifty percent of autism spectrum disorder is attributable to maternal 831 00:48:21,200 --> 00:48:26,120 Speaker 2: obesity and during pregnancy fifty percent, And it's something like 832 00:48:26,520 --> 00:48:29,600 Speaker 2: thirty percent of ADHD, Right, I believe it's attributable to 833 00:48:29,760 --> 00:48:34,359 Speaker 2: obesity during pregnancy, and so like this is just it's 834 00:48:34,520 --> 00:48:38,560 Speaker 2: that cascade that you talked about, right, is just there's 835 00:48:38,920 --> 00:48:43,080 Speaker 2: unintended consequences freaking left, right and center, isn't there? 836 00:48:43,239 --> 00:48:46,520 Speaker 1: Yeah, I was doing a pregnancy lecture when I was pregnant, 837 00:48:46,560 --> 00:48:51,360 Speaker 1: so a while ago. I was showing the research that 838 00:48:51,520 --> 00:48:55,200 Speaker 1: was coming out then about how you shouldn't be afraid 839 00:48:55,239 --> 00:48:58,640 Speaker 1: to exercise, even at a higher intensity because of the 840 00:48:58,719 --> 00:49:03,239 Speaker 1: blood flow diversion that occurs at the uterus and the placenta, 841 00:49:03,960 --> 00:49:07,760 Speaker 1: Because when you stop exercising, it's a signal to increase 842 00:49:07,840 --> 00:49:12,160 Speaker 1: the vascularization of the placenta, which improves the metabolic function 843 00:49:12,440 --> 00:49:16,799 Speaker 1: to and from the womb, which increases the baby's health 844 00:49:16,960 --> 00:49:21,520 Speaker 1: status as it's growing and developing, and also causes genetic 845 00:49:21,760 --> 00:49:24,480 Speaker 1: change or expression, you know, the epigen. 846 00:49:24,840 --> 00:49:26,160 Speaker 2: Cresha to. 847 00:49:28,800 --> 00:49:35,279 Speaker 1: More of a lean childhood into lean adults. So good 848 00:49:35,360 --> 00:49:38,560 Speaker 1: for the mom as she is pregnant, to help with 849 00:49:39,560 --> 00:49:43,040 Speaker 1: preclamsia and you know, not gaining a lot of weight 850 00:49:43,200 --> 00:49:45,839 Speaker 1: and mental stability and all the things that we want 851 00:49:45,880 --> 00:49:48,520 Speaker 1: exercise for. But we need to disseminate it down that 852 00:49:48,600 --> 00:49:53,440 Speaker 1: exercise stress is incredibly beneficial for the developing fetus with 853 00:49:53,600 --> 00:49:57,400 Speaker 1: regards to after it's born and how it progresses through life. 854 00:49:57,960 --> 00:50:00,880 Speaker 2: Awesome. Just so is that some people may have just 855 00:50:01,000 --> 00:50:05,560 Speaker 2: kind of missed that with the terminology. So for the listeners, 856 00:50:05,840 --> 00:50:08,760 Speaker 2: So genetic changes obviously are to do with your genes, 857 00:50:08,840 --> 00:50:12,239 Speaker 2: but then the epigenome sits above the genes. I like 858 00:50:12,280 --> 00:50:15,279 Speaker 2: to describe it as as genes are the hardware. Epigenomes 859 00:50:15,320 --> 00:50:17,279 Speaker 2: the software that tells the genes how they operate it. 860 00:50:17,880 --> 00:50:21,280 Speaker 2: And we know from way back the Dutch hunger study 861 00:50:21,520 --> 00:50:23,600 Speaker 2: in the was it the First World War the Second 862 00:50:23,640 --> 00:50:28,120 Speaker 2: World War that the stee it the physical health state 863 00:50:28,400 --> 00:50:33,040 Speaker 2: of the parents then saying signals to the genes of 864 00:50:33,160 --> 00:50:37,120 Speaker 2: that unborn fetus that then continue to express through life 865 00:50:37,680 --> 00:50:40,920 Speaker 2: and can massively affect their health trajectory through life. So 866 00:50:41,800 --> 00:50:43,880 Speaker 2: that whole thing, and I think there's two sides of 867 00:50:43,920 --> 00:50:49,040 Speaker 2: the coin. There is that being OBEs is creating epigenetic 868 00:50:49,200 --> 00:50:53,400 Speaker 2: changes that predispose not just for per metabolic health, but 869 00:50:53,560 --> 00:50:56,759 Speaker 2: now also auto suspection of the sort of idiot. But 870 00:50:56,920 --> 00:50:59,399 Speaker 2: the flip side of that, if you're as you're saying, 871 00:50:59,400 --> 00:51:03,239 Speaker 2: if you're exercizing regularly, you're then sending signals to that 872 00:51:03,640 --> 00:51:06,600 Speaker 2: fetus for its change to operate in a way that 873 00:51:06,719 --> 00:51:08,919 Speaker 2: it will be healthier throughout its life. 874 00:51:09,239 --> 00:51:12,400 Speaker 1: Yes, more stress resilient. It comes down to the stress 875 00:51:12,480 --> 00:51:15,640 Speaker 1: resilience and how your genes are are being trained to 876 00:51:15,719 --> 00:51:16,920 Speaker 1: be super stress resilient. 877 00:51:18,040 --> 00:51:20,399 Speaker 2: Yeah. Yeah, and that's why I wrote a book called 878 00:51:20,440 --> 00:51:22,960 Speaker 2: Death by Comfort while modern life is killing us and 879 00:51:23,040 --> 00:51:26,399 Speaker 2: what we need to do about it. Ye, yes, that's 880 00:51:26,520 --> 00:51:30,600 Speaker 2: the fun. Hey, everybody. At the risk of making everybody 881 00:51:30,760 --> 00:51:34,400 Speaker 2: very grumpy, This is the end of part one of 882 00:51:34,560 --> 00:51:35,239 Speaker 2: the podcast. 883 00:51:35,360 --> 00:51:38,759 Speaker 5: Because there was just so much information in this, we're 884 00:51:38,800 --> 00:51:41,239 Speaker 5: going to split it into two, so make sure you 885 00:51:41,440 --> 00:51:45,480 Speaker 5: tune in next week where there's lots of extra information 886 00:51:45,640 --> 00:51:48,920 Speaker 5: and heaps of practical advice from doctor Stacey Simms. 887 00:51:49,160 --> 00:51:49,879 Speaker 2: Catch you next time.