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These are the user uploaded subtitles that are being translated: 1 00:00:00,000 --> 00:00:07,360 So, there is a famous experiment that was published last year by Jota Kahasi's lab, 2 00:00:07,360 --> 00:00:10,120 and it came out in Science. 3 00:00:10,120 --> 00:00:13,040 And that relates to caloric restriction. 4 00:00:13,040 --> 00:00:18,140 And we kind of started with this idea, we started discussion that the rat experiments 5 00:00:18,140 --> 00:00:25,040 were done with caloric restriction, and researchers gave reduced calorie consumption by 20% or 6 00:00:25,040 --> 00:00:33,320 30% and gave that food, the rats and then subsequently mice, and they all lived longer. 7 00:00:33,320 --> 00:00:40,800 What is interesting is in all those experiments, the researchers came and gave this bolus of 8 00:00:40,800 --> 00:00:46,800 food at one time, whereas the adlivetum fed mice or rats, they had access to food all 9 00:00:46,800 --> 00:00:47,800 the time. 10 00:00:47,800 --> 00:00:53,600 So, they were eating all the time, and then these rats were given 20% less. 11 00:00:53,600 --> 00:00:58,960 And what happens is these mice or rats, they're not going to take that less food, which is 12 00:00:58,960 --> 00:01:04,480 rest on now, and just eat a little bit of lunch and then snack after three hours or snack 13 00:01:04,480 --> 00:01:05,480 after three hours. 14 00:01:05,480 --> 00:01:07,200 They gobble up all that food. 15 00:01:07,200 --> 00:01:10,840 Within two to three hours, maximum four hours, food is gone. 16 00:01:10,840 --> 00:01:14,440 So, they're sort of on the OMAD diet, the one meal a day. 17 00:01:14,440 --> 00:01:15,440 Yeah. 18 00:01:15,440 --> 00:01:20,000 They're almost like one meal a day, three to four hours, food is gone. 19 00:01:20,000 --> 00:01:26,400 Or you can say they're on four hours eating or feeding and 20 hours fasting. 20 00:01:26,400 --> 00:01:32,560 So, then the question became, well, the benefit of calorie restriction, as we know, is it 21 00:01:32,560 --> 00:01:38,800 due to reduced calorie or time restricted feeding or timing? 22 00:01:38,800 --> 00:01:40,440 There is a timing component to it. 23 00:01:40,440 --> 00:01:45,400 They're eating all of that within three to four hours, and then there is a long fasting. 24 00:01:45,400 --> 00:01:50,840 And this is a difficult question to answer because now you have to ask these poor grad 25 00:01:50,840 --> 00:01:57,000 students or technicians to come and split that food into eight or 10 or 15 different 26 00:01:57,000 --> 00:02:01,200 small portions and then give them to mice in every two hours. 27 00:02:01,200 --> 00:02:08,600 So, Joe Takahashi, who actually published the first paper in 2017 showing that most calorie 28 00:02:08,600 --> 00:02:09,600 restrictions... 29 00:02:09,600 --> 00:02:14,640 I mean, he used the protocol that was used by calorie restriction field. 30 00:02:14,640 --> 00:02:19,119 It actually creates a condition of time restriction. 31 00:02:19,119 --> 00:02:24,440 So he showed that and then he went back and worked with engineers to come up with a smart 32 00:02:24,440 --> 00:02:31,640 case where he could actually tell, he could program how much food is given to mice at 33 00:02:31,640 --> 00:02:36,359 what time of the day or night, completely programmed. 34 00:02:36,359 --> 00:02:37,359 So then he took this... 35 00:02:37,360 --> 00:02:45,040 For example, suppose the adlivetum fed mice eats five grams of chow in a day. 36 00:02:45,040 --> 00:02:51,480 And if you want to reduce calories by 20%, then the CR mouse should get four grams of 37 00:02:51,480 --> 00:02:53,000 food. 38 00:02:53,000 --> 00:03:00,720 And he divided this into nine or 10 meals and then gave them in every 90 minutes. 39 00:03:00,720 --> 00:03:06,600 So in this case, they're eating small meals throughout the night. 40 00:03:06,600 --> 00:03:07,600 So there is no fasting. 41 00:03:07,600 --> 00:03:12,600 So you can say that, well, this mouse actually is not getting into fasting because in every 42 00:03:12,600 --> 00:03:16,560 few hours is getting some food. 43 00:03:16,560 --> 00:03:20,600 And then he measured how long the mouse is going to live. 44 00:03:20,600 --> 00:03:23,519 And he used... 45 00:03:23,519 --> 00:03:25,320 This is a very standard protocol. 46 00:03:25,320 --> 00:03:30,440 People count how many mice are dying on which day and then examine them to see whether they 47 00:03:30,440 --> 00:03:36,079 died because there was an accident or there was a natural cause. 48 00:03:36,080 --> 00:03:42,320 And then they calculate at the end, what is the half life? 49 00:03:42,320 --> 00:03:48,040 So 50% survival, because on an average, that's a good indicator because if there is an outlier 50 00:03:48,040 --> 00:03:51,560 that will live for a long time, then that can skew. 51 00:03:51,560 --> 00:03:56,280 So what was interesting was the adlivetum fed mice, of course, they live certain number 52 00:03:56,280 --> 00:03:57,280 of days. 53 00:03:57,280 --> 00:04:03,400 And then this caloric restricted mice that never got into super fasting, but kind of 54 00:04:03,400 --> 00:04:09,720 eating, snacking throughout the night, that also live 10% extra, 10% longer. 55 00:04:09,720 --> 00:04:14,480 So that means caloric restriction extended lifespan by 10%. 56 00:04:14,480 --> 00:04:20,579 I've wondered about this because recently there were a bunch of news headlines about 57 00:04:20,579 --> 00:04:22,160 intermittent fasting. 58 00:04:22,160 --> 00:04:28,600 And frankly, I was frustrated if you looked at one major news outlet, they would say, 59 00:04:28,600 --> 00:04:34,000 time restricted feeding affords no additional benefit beyond caloric restriction for weight 60 00:04:34,000 --> 00:04:35,080 loss. 61 00:04:35,080 --> 00:04:43,320 Then another popular press venue, let's call it that, same study described as time restricted 62 00:04:43,320 --> 00:04:46,840 feeding doesn't work. 63 00:04:46,840 --> 00:04:54,100 And then another one, maybe someplace even more extreme, time restricted feeding only 64 00:04:54,100 --> 00:04:57,480 beneficial because of caloric restriction or something like that. 65 00:04:57,480 --> 00:05:02,520 So what you've essentially got are three different interpretations of the same data, all of which 66 00:05:02,520 --> 00:05:06,400 are, well, two of which are true, one of which is false in my opinion. 67 00:05:06,400 --> 00:05:11,080 But what I think people take away from that is, oh, time restricted feeding isn't valuable, 68 00:05:11,080 --> 00:05:12,640 which is not the case. 69 00:05:12,640 --> 00:05:16,240 I think for many people it's a convenient way to eat because at least for people like 70 00:05:16,240 --> 00:05:21,840 me, it's simpler to designate between portions of my day when I'm eating and portions of 71 00:05:21,840 --> 00:05:24,600 my day when I'm not eating as opposed to eat portion control. 72 00:05:24,600 --> 00:05:26,960 For other people, portion control can work. 73 00:05:26,960 --> 00:05:32,680 But all of that is related to either maintenance or loss of weight. 74 00:05:32,680 --> 00:05:38,960 None of it deals with the potential health benefits independent of weight loss. 75 00:05:38,960 --> 00:05:45,120 And so I think that if we can segment those out, obviously in humans it's hard to know 76 00:05:45,120 --> 00:05:49,679 if a given treatment or experiment is extending life because you don't really know how long 77 00:05:49,679 --> 00:05:51,840 people would live anyway. 78 00:05:51,840 --> 00:05:56,060 Whereas with mice you have some sense of when the mortality was likely to occur. 79 00:05:56,060 --> 00:06:02,360 So what can we say about time restricted feeding and longevity in terms of biomarkers or in 80 00:06:02,360 --> 00:06:06,960 terms of any other indication that people who start and stop their feeding window at 81 00:06:06,960 --> 00:06:13,320 a consistent time, somewhere between eight and 12 hours per 24 hour cycle, are tilting 82 00:06:13,320 --> 00:06:17,560 the scales towards living longer as opposed to living shorter? 83 00:06:17,560 --> 00:06:21,440 This example of this news article that you mentioned is really interesting because that 84 00:06:21,440 --> 00:06:27,960 relates to Joe Takao's study because I described that if you split calories and eat throughout 85 00:06:27,960 --> 00:06:32,800 the day, throughout day and night, then the mice live 10% extra. 86 00:06:32,800 --> 00:06:40,120 But if you now give mouse the same calorie restricted diet and feed them during daytime, 87 00:06:40,120 --> 00:06:45,360 whether within 12 hours or two hours, then the mice live 10% extra. 88 00:06:45,360 --> 00:06:46,360 Beyond that. 89 00:06:46,360 --> 00:06:47,360 Yes. 90 00:06:47,360 --> 00:06:48,360 So 20% longer. 91 00:06:48,360 --> 00:06:49,360 20%. 92 00:06:49,360 --> 00:06:53,880 I don't know if I understand so that I make sure I understand. 93 00:06:53,880 --> 00:06:57,720 If you take a certain number of calories and you distribute them throughout the 24 hour 94 00:06:57,720 --> 00:07:03,180 cycle, it's caloric restriction, the mice will live 10% longer. 95 00:07:03,180 --> 00:07:12,240 If you however restrict that to the active cycle, so for humans the daytime, then they 96 00:07:12,240 --> 00:07:14,240 live 20% longer. 97 00:07:14,240 --> 00:07:17,640 So it's not just total caloric intake. 98 00:07:17,640 --> 00:07:22,020 Meaning it's not just important to be sub maintenance and calories for sake of longevity. 99 00:07:22,020 --> 00:07:26,599 It also is important as to when in the 24 hour cycle you eat those calories. 100 00:07:26,599 --> 00:07:27,960 Do I have that right? 101 00:07:27,960 --> 00:07:34,080 So now that's still the story is not over because this mice are fed during daytime and 102 00:07:34,080 --> 00:07:35,400 they're not supposed to eat. 103 00:07:35,400 --> 00:07:36,400 That's right. 104 00:07:36,400 --> 00:07:38,880 So for us, it would be the equivalent of being on the night shift and only eating at night, 105 00:07:38,880 --> 00:07:43,880 but a subcaloric sub maintenance calorie diet, I guess is the right way to say it. 106 00:07:43,880 --> 00:07:48,719 But when he fed mice during nighttime when they're supposed to eat and they're seeing 107 00:07:48,719 --> 00:07:53,920 this, getting the same number of calories within 12 hours or two hours, then the mice 108 00:07:53,920 --> 00:07:57,320 live 35% longer than they control. 109 00:07:57,320 --> 00:07:58,940 35% longer. 110 00:07:58,940 --> 00:08:04,960 So scale to human lifespan, which we don't know, but a 35% longer would mean that, and 111 00:08:04,960 --> 00:08:10,960 again, no one knows, but humans now, what is the average mortality in the United States? 112 00:08:10,960 --> 00:08:11,960 Somewhere around 80? 113 00:08:11,960 --> 00:08:17,200 Yeah, so it's around 80, it used to be 80 now, reduced a little bit because of COVID, 114 00:08:17,200 --> 00:08:18,200 but let's take 80. 115 00:08:18,200 --> 00:08:19,200 Okay. 116 00:08:19,200 --> 00:08:23,239 So people are then now living somewhere between 25 and 35 years longer. 117 00:08:23,239 --> 00:08:24,719 I'm putting some arrow bars on there. 118 00:08:24,719 --> 00:08:25,719 Yeah. 119 00:08:25,719 --> 00:08:26,719 Amazing. 120 00:08:26,719 --> 00:08:32,720 So that was really profound, but now you pointed out biomarker and other stuff. 121 00:08:32,720 --> 00:08:38,840 So now if you look at any given time within that experiment, and actually Joe went back 122 00:08:38,840 --> 00:08:45,680 and had a separate cohort of mice, very similar, and so that he could take tissue samples, 123 00:08:45,680 --> 00:08:49,560 and of course, in this case, you have to sacrifice the mouse. 124 00:08:49,560 --> 00:08:56,360 And he did a lot of molecular analysis with known markers. 125 00:08:56,360 --> 00:09:02,360 For example, hemoglobin A1C equivalent or glucose control, cholesterol, all this stuff. 126 00:09:02,360 --> 00:09:08,520 He could not find anything that predicted the benefit of caloric restriction. 127 00:09:08,520 --> 00:09:14,880 So that means in this experiment, whatever we know so far, the predictor of longevity, 128 00:09:14,880 --> 00:09:23,960 none of them could predict whether this CR only mouse, which ate throughout day and night, 129 00:09:23,960 --> 00:09:29,600 that mouse is going to live less than the night fed mouse that was going to live 25% 130 00:09:29,600 --> 00:09:30,720 extra. 131 00:09:30,720 --> 00:09:34,640 Does that mean that there are biomarkers related to longevity that we just haven't discovered 132 00:09:34,640 --> 00:09:35,640 yet? 133 00:09:35,640 --> 00:09:36,640 Yeah. 134 00:09:36,640 --> 00:09:37,640 So that's exactly. 135 00:09:37,640 --> 00:09:45,560 Whatever we know so far about biomarkers, those he could not use to predict. 136 00:09:45,560 --> 00:09:46,640 Maybe there was a lot of noise. 137 00:09:46,640 --> 00:09:52,720 Maybe he had to use more number of mice to get that because biomarkers are not going to 138 00:09:52,720 --> 00:09:56,920 predict in every instance that there is some error. 139 00:09:56,920 --> 00:10:01,439 What is also very interesting is if you look at the body weight and body composition of 140 00:10:01,439 --> 00:10:06,360 all these mice, there is no difference in body weight and body composition. 141 00:10:06,360 --> 00:10:07,360 Across all these different groups. 142 00:10:07,360 --> 00:10:08,360 All these groups. 143 00:10:08,360 --> 00:10:14,880 So it doesn't matter when they ate, provided they were sub-maintenance calorie intake. 144 00:10:14,880 --> 00:10:18,280 So fewer calories than is required to maintain their weight. 145 00:10:18,280 --> 00:10:21,680 It didn't matter what pattern of eating, they were the same weight. 146 00:10:21,680 --> 00:10:25,040 So that in many ways seems to mimic the human studies where they say, look, it doesn't really 147 00:10:25,040 --> 00:10:29,920 matter whether or not you use caloric restriction or you start your feeding window in the morning 148 00:10:29,920 --> 00:10:35,440 or start your feeding window in the evening or you portion control for sake of weight 149 00:10:35,440 --> 00:10:36,440 loss. 150 00:10:36,440 --> 00:10:38,600 Because you're taking a snap sort of that. 151 00:10:38,600 --> 00:10:45,280 And then another thing with the human study that we are referring to here, in that human 152 00:10:45,280 --> 00:10:50,680 study, people are actually already eating within 10 hours window. 153 00:10:50,680 --> 00:10:57,560 Habitually, when they selected these people to have them enroll in the study. 154 00:10:57,560 --> 00:11:02,240 So they were already eating for 10 hours and fasting for 14 hours. 155 00:11:02,240 --> 00:11:08,760 All participants had to reduce their calorie intake and they reduced by almost 25%. 156 00:11:08,760 --> 00:11:15,000 The CR group continued with 10 hours eating window and the CR plus time restricted group 157 00:11:15,000 --> 00:11:17,640 had to eat the same number of calories within eight hours. 158 00:11:17,640 --> 00:11:19,120 So it's just a two hour difference. 159 00:11:19,120 --> 00:11:20,440 It's just a two hours difference. 160 00:11:20,440 --> 00:11:21,440 Okay. 161 00:11:21,440 --> 00:11:22,720 So that people, I just want to make sure people can understand. 162 00:11:22,720 --> 00:11:28,000 So in this human study, which is the one that I felt that the popular press venues, all 163 00:11:28,000 --> 00:11:33,200 except one venue, got either semi wrong or badly wrong in terms of their conclusion. 164 00:11:33,200 --> 00:11:39,440 That was my interpretation anyway, was that either people came into the study eating basically 165 00:11:39,440 --> 00:11:42,640 in a 10 hour feeding window, which goes back to my first question, which is that most people 166 00:11:42,640 --> 00:11:44,040 are not eating in the middle of the night. 167 00:11:44,040 --> 00:11:45,040 Yeah. 168 00:11:45,040 --> 00:11:47,600 Or if they're on shift work and they are, then they're sleeping during the day anyway. 169 00:11:47,600 --> 00:11:49,760 So they're eating in a 10 to 12 hour feeding window anyway. 170 00:11:49,760 --> 00:11:54,680 So you're saying they either did caloric restriction portion control within a 10 hour window or 171 00:11:54,680 --> 00:12:01,040 another group within the study, eight sub maintenance calories to caloric restriction 172 00:12:01,040 --> 00:12:05,640 CR, as we're calling it, the acronym CR, but restricted to that to an eight hour feeding 173 00:12:05,640 --> 00:12:08,079 window and they didn't see any difference in terms of weight loss. 174 00:12:08,079 --> 00:12:09,079 Yeah. 175 00:12:09,079 --> 00:12:10,599 But it's not all that surprising, right? 176 00:12:10,599 --> 00:12:12,439 I mean, if it's just a two hour difference. 177 00:12:12,439 --> 00:12:13,439 Yeah, exactly. 178 00:12:13,439 --> 00:12:18,319 So we have done that experiment in mice and we don't see difference in not only weight 179 00:12:18,319 --> 00:12:21,040 loss, many other markers. 180 00:12:21,040 --> 00:12:26,599 And I was telling you about this Jota Kahasi's paper where I told you that he allowed these 181 00:12:26,599 --> 00:12:32,520 mice to eat within two hours or 12 hours, subcaloric diet. 182 00:12:32,520 --> 00:12:33,520 Two or 12. 183 00:12:33,520 --> 00:12:34,520 Two or 12. 184 00:12:34,520 --> 00:12:35,520 Yeah, that's dramatic. 185 00:12:35,520 --> 00:12:40,880 But still, he did not see change in longevity even within those two. 186 00:12:40,880 --> 00:12:47,640 So that means when you do caloric restriction and then at least for months and you are within 187 00:12:47,640 --> 00:12:55,319 12 hours window, that is giving the mice the best benefit, the optimum benefit. 188 00:12:55,319 --> 00:13:01,600 And two, three or five or 12 per mouse doesn't matter, at least for longevity. 189 00:13:01,600 --> 00:13:06,880 Can we conclude for humans that whether or not a feeding window is four hours, six hours, 190 00:13:06,880 --> 00:13:12,800 eight hours or 12 doesn't matter provided the calories are similar or same? 191 00:13:12,800 --> 00:13:18,000 Well, I won't go to that extent because we don't know many of these, particularly we 192 00:13:18,000 --> 00:13:25,280 don't know how this sort of eating window will affect both sexes because we always think 193 00:13:25,280 --> 00:13:29,439 many of these mouse experiments, even that I told you about, those are done only in male 194 00:13:29,439 --> 00:13:30,439 mice. 195 00:13:30,439 --> 00:13:31,439 But that should be changing, right? 196 00:13:31,439 --> 00:13:35,199 Because the NIH, I know this because I'm on study section, which is just a bunch of people 197 00:13:35,199 --> 00:13:41,719 who review grants, is that every grant now has to include sex as a biological variable. 198 00:13:41,720 --> 00:13:46,120 It's hard to get away with, or rather I should say it the way it should be stated, which 199 00:13:46,120 --> 00:13:52,960 is people are required and should want to look at these phenomenon in male and female 200 00:13:52,960 --> 00:13:56,440 mice, especially if there are differences. 201 00:13:56,440 --> 00:14:02,640 So in this case, there are many, I mean, there was also another paper in Time Restricted 202 00:14:02,640 --> 00:14:09,240 Feeding that also came out, a big paper showing that the thermogenesis was accounting for 203 00:14:09,240 --> 00:14:12,360 loss in fat mass in time-restricted fat mice. 204 00:14:12,360 --> 00:14:15,720 That was also done only in male mice. 205 00:14:15,720 --> 00:14:18,360 So this is, we are paying attention to it. 206 00:14:18,360 --> 00:14:23,220 So we are now doing all of our studies in male and female, and we do see big differences 207 00:14:23,220 --> 00:14:24,720 between male and female. 208 00:14:24,720 --> 00:14:30,200 Coming back to humans, what typically happens is when you're trying to do four hours or 209 00:14:30,200 --> 00:14:35,880 six hours of time-restricted eating, people will inadvertently reduce their calorie intake. 210 00:14:35,880 --> 00:14:36,960 Just because of gut volume. 211 00:14:36,960 --> 00:14:43,040 I tried one meal per day, and I felt like I was eating so much at that one sitting that 212 00:14:43,040 --> 00:14:46,280 it led to a lot of gastric distress, and I got tired after the meal. 213 00:14:46,280 --> 00:14:50,920 And part of the reason I like to do time-restricted feeding is I have more energy. 214 00:14:50,920 --> 00:14:55,240 And certainly in the fasted state, I feel more energized, especially if I'm ingesting 215 00:14:55,240 --> 00:14:58,360 a little caffeine or something like that. 216 00:14:58,360 --> 00:15:04,880 So people will reduce energy intake, and then some people who are more active, they can 217 00:15:04,880 --> 00:15:11,320 actually, unconsciously, they may be spending more energy in their physical activity and 218 00:15:11,320 --> 00:15:15,439 basal metabolic rate, all of this combined than how much they're eating. 219 00:15:15,439 --> 00:15:20,480 And that can have a very adverse effect in long-term because we know that this energy 220 00:15:20,480 --> 00:15:24,920 deficit, and in fact, there is a scientific term for that. 221 00:15:24,920 --> 00:15:30,360 It's called RAD-S, relative energy deficit in sports. 222 00:15:30,360 --> 00:15:31,920 Relative energy deficit in sports. 223 00:15:31,920 --> 00:15:32,920 Okay. 224 00:15:32,920 --> 00:15:33,920 Yeah. 225 00:15:33,920 --> 00:15:42,880 40% of athletes, not the NFL guys, but there are a lot of people who do track and field, 226 00:15:42,880 --> 00:15:48,920 and nearly 40% of athletes actually experience this RAD-S without knowing. 227 00:15:48,920 --> 00:15:51,400 Can male and female athletes both experience RAD-S? 228 00:15:51,400 --> 00:15:57,560 So it's RAD-S, relative energy deficit in sports. 229 00:15:57,560 --> 00:15:58,560 Interesting. 230 00:15:58,560 --> 00:16:00,339 This is the first I've heard this acronym. 231 00:16:00,339 --> 00:16:01,959 We have a new acronym, folks. 232 00:16:01,960 --> 00:16:06,240 This is good to add to a list of other acronyms. 233 00:16:06,240 --> 00:16:08,120 So males and females can experience it. 234 00:16:08,120 --> 00:16:18,240 So in females, I've heard that RADs can lead to eminorrhea, so loss of the menstrual cycle. 235 00:16:18,240 --> 00:16:19,240 Yeah. 236 00:16:19,240 --> 00:16:25,560 So that's so common, so prevalent that in fact, many women, many female athletes, they 237 00:16:25,560 --> 00:16:29,240 take it for granted that, yes, if they are more active, then they will lose their menstrual 238 00:16:29,240 --> 00:16:36,720 cycle, which may be common, but it's not normal or optimum for health. 239 00:16:36,720 --> 00:16:38,400 Even if they don't want to get pregnant. 240 00:16:38,400 --> 00:16:39,400 Yeah. 241 00:16:39,400 --> 00:16:40,400 Yeah. 242 00:16:40,400 --> 00:16:41,400 Yeah. 243 00:16:41,400 --> 00:16:43,820 We had an expert on female hormones come on and say the very same thing, that regular 244 00:16:43,820 --> 00:16:44,820 cycling is a... 245 00:16:44,820 --> 00:16:45,820 It's very important. 246 00:16:45,820 --> 00:16:50,080 ... of ovulatory menstrual cycle is important to try and maintain. 247 00:16:50,080 --> 00:16:51,080 Yeah. 248 00:16:51,080 --> 00:16:52,760 So that's one. 249 00:16:52,760 --> 00:16:59,480 But then what is really concerning is it does affect bone health. 250 00:16:59,480 --> 00:17:06,440 And in this state, people actually over a long period of time, they lose bone mass and 251 00:17:06,440 --> 00:17:12,440 their bone also becomes more prone to injury, micro fracture and fractures. 252 00:17:12,440 --> 00:17:14,359 So again, it's a risk. 253 00:17:14,359 --> 00:17:18,319 I mean, some people are trying to eat within very short time and they're physically active, 254 00:17:18,319 --> 00:17:19,319 that happens. 255 00:17:19,319 --> 00:17:26,119 And it also has impact on...means the reason why these women are losing menstrual cycle 256 00:17:26,119 --> 00:17:36,620 is the HPG axis is disrupted, hypothalamus, pituitary, gonadal axis. 257 00:17:36,620 --> 00:17:40,419 And it starts in...may start even upstream at hypothalamus or pituitary. 258 00:17:40,419 --> 00:17:47,240 So that means that HPA axis, hypothalamus, pituitary and adrenal axis may also get disrupted. 259 00:17:47,240 --> 00:17:52,480 One of the symptoms of reds is also depression, anxiety, bipolar-like symptoms. 260 00:17:52,480 --> 00:17:57,240 And we know that many, many athletes experience that. 261 00:17:57,240 --> 00:18:01,400 We think that, well, this may be just peer pressure that always trying to compete. 262 00:18:01,400 --> 00:18:06,080 And we know that unfortunately there are a few athletes who just can't cope it and there 263 00:18:06,080 --> 00:18:08,640 are many attempted suicide or suicide. 264 00:18:08,640 --> 00:18:11,360 So this is a serious issue. 265 00:18:11,360 --> 00:18:17,560 And there's also another new topic in the lab to come up with a mouse model of reds 266 00:18:17,560 --> 00:18:19,479 and then study it. 267 00:18:19,479 --> 00:18:26,560 But this is one risk why we should not reduce our eating interval to one meal or very short 268 00:18:26,560 --> 00:18:33,040 time, because it can have adverse side effect that we don't know now. 269 00:18:33,040 --> 00:18:37,320 Maybe in future we'll figure out when we systematically study them. 270 00:18:37,320 --> 00:18:41,960 There are studies that are published showing four hours and six hours time restricted eating 271 00:18:41,960 --> 00:18:47,879 has benefits on weight loss, but those are on healthy individuals and they were in the 272 00:18:47,879 --> 00:18:48,879 studies. 273 00:18:48,879 --> 00:18:55,840 So the study team were already monitoring, they made sure that there was no sudden weight 274 00:18:55,840 --> 00:19:01,320 loss or weight loss below some safety level. 275 00:19:01,320 --> 00:19:07,240 So those are very different from regular people who are maybe even normal weight, even with 276 00:19:07,240 --> 00:19:09,280 within the healthy range. 277 00:19:09,280 --> 00:19:12,040 If they do, then they can potentially. 278 00:19:12,040 --> 00:19:18,640 So that's why what we think is eight to 10 hours may be the ideal spot to begin with. 279 00:19:18,640 --> 00:19:25,500 And once you are physically active and you are also spending a lot of energy in physical 280 00:19:25,500 --> 00:19:30,080 activity or sports, you can even go up to 12 hours because in mice we have done that 281 00:19:30,080 --> 00:19:35,260 experiment up to 12 hours, they do get a lot of benefits, not all but... 282 00:19:35,260 --> 00:19:36,640 So this is 12 hours of... 283 00:19:36,640 --> 00:19:40,280 12 hours of eating, 12 hours of fasting. 284 00:19:40,280 --> 00:19:48,880 In humans, again, nobody has done systematically 12 hours, but there was one study in Europe 285 00:19:48,880 --> 00:19:52,720 from Tin Hai Collette Lab and Tin Hai and I, we collaborate. 286 00:19:52,720 --> 00:19:55,080 So they used our Mycica Indian Clock app. 287 00:19:55,080 --> 00:19:58,160 This is a research app we developed just to... 288 00:19:58,160 --> 00:20:01,920 This is mostly used in time restricted eating studies. 289 00:20:01,920 --> 00:20:08,120 And he had nearly...I think he started with 200 Swiss participants, but then at the end 290 00:20:08,120 --> 00:20:11,360 he selected and took very small number of groups. 291 00:20:11,360 --> 00:20:17,600 People who are very meticulous about recording all their food and divided them into usual 292 00:20:17,600 --> 00:20:21,320 feeling whatever they wanted to eat, whenever they wanted to eat. 293 00:20:21,320 --> 00:20:28,600 And they were given the advice of Swiss nutrition advice that's given to improve health and 294 00:20:28,600 --> 00:20:33,560 reduce blood glucose, almost like diabetes prevention program in the US. 295 00:20:33,560 --> 00:20:38,879 And then the other group was given advice to eat within 12 hours. 296 00:20:38,879 --> 00:20:42,919 This is very early on in time restricted eating and we thought that the mice were getting 297 00:20:42,919 --> 00:20:47,679 some benefit, let's try whether 12 hours has any benefit. 298 00:20:47,679 --> 00:20:54,240 The bottom line is at the end of three months and six months, what he reported is both groups 299 00:20:54,240 --> 00:20:58,159 lost same amount of body weight. 300 00:20:58,160 --> 00:21:02,320 And then there's not too much significant difference between groups, but both groups 301 00:21:02,320 --> 00:21:04,320 actually improved their health. 302 00:21:04,320 --> 00:21:10,860 So the bottom line is the Swiss nutritional advice that he was giving, which is the standard 303 00:21:10,860 --> 00:21:15,960 of care there, it achieved the same amount of weight loss as just giving people this 304 00:21:15,960 --> 00:21:19,080 advice that eat within 12 hours. 305 00:21:19,080 --> 00:21:23,440 So one way to look at it, look at the result is like this. 306 00:21:23,440 --> 00:21:31,160 And then he went to more extent and actually looked at every single meal these people consume. 307 00:21:31,160 --> 00:21:38,080 So there are close to, I think close to 60 or 70,000 meal records and pictures he went 308 00:21:38,080 --> 00:21:43,200 through and then classified them to say whether these are good quality food. 309 00:21:43,200 --> 00:21:46,640 So they call it the NOVA classification, one, two, three, four. 310 00:21:46,640 --> 00:21:54,280 One is the food that you can almost eat raw fruits, vegetables, yogurt, dairy products 311 00:21:54,280 --> 00:21:57,280 that you can almost without any preparation. 312 00:21:57,280 --> 00:22:02,680 And then second, NOVA two is kind of home-cooked food that most people will prepare in a few 313 00:22:02,680 --> 00:22:04,360 minutes and then three. 314 00:22:04,360 --> 00:22:09,520 And then fourth one is the food that you can never prepare at home. 315 00:22:09,520 --> 00:22:16,240 So for example, biscuit or cookies that we usually purchase and a few other things. 316 00:22:16,240 --> 00:22:20,640 And usually the NOVA four are unhealthy ultra-processed foods, so which we should not be eating. 317 00:22:20,640 --> 00:22:24,280 So the advice is to reduce NOVA four. 318 00:22:24,280 --> 00:22:30,880 And what he found was people who got all this advice to improve their nutrition quality, 319 00:22:30,880 --> 00:22:32,840 they actually improve their nutrition quality. 320 00:22:32,840 --> 00:22:36,440 They reduce their NOVA four food. 321 00:22:36,440 --> 00:22:40,560 And people who are in time-restricted eating, they ate within 12 hours, they did not change 322 00:22:40,560 --> 00:22:42,760 their nutrition quality. 323 00:22:42,760 --> 00:22:47,320 But what is interesting is they both got the same modest weight loss. 324 00:22:47,320 --> 00:22:54,240 So that begs the question that maybe Chinhai will do this experiment again to combine nutrition 325 00:22:54,240 --> 00:23:01,160 advice with time restriction and maybe reduce the time to 10 hours and that might help. 326 00:23:01,160 --> 00:23:08,879 So 12 hours is something that I say anyone from five-year-old to 100-year-old can do. 327 00:23:08,880 --> 00:23:14,440 And if you are trying to maintain weight, that might be a good way and combine that 328 00:23:14,440 --> 00:23:16,760 with exercise, it'll be great. 329 00:23:16,760 --> 00:23:20,560 And people can more easily avoid reds in that way. 330 00:23:20,560 --> 00:23:25,160 Women and for non-athletes or recreational exercises, it sounds like women, if they distribute 331 00:23:25,160 --> 00:23:29,360 their calories across 12 hours are less likely to lose their menstrual cycle. 332 00:23:29,360 --> 00:23:30,360 Yeah. 333 00:23:30,360 --> 00:23:33,680 So again, this is something that we have to look carefully. 334 00:23:33,680 --> 00:23:38,580 Because we do have the Mycetidine Clock app that many people download and self-monitor 335 00:23:38,580 --> 00:23:40,360 and they share the data for researchers. 336 00:23:40,360 --> 00:23:42,159 We will provide a link to that, by the way. 337 00:23:42,159 --> 00:23:43,159 It's a great tool. 338 00:23:43,159 --> 00:23:44,159 Yeah. 339 00:23:44,159 --> 00:23:48,159 But once in a while, we do get this input from some women saying, oh, I started doing 340 00:23:48,159 --> 00:23:38,580 your time- 341 00:23:48,679 --> 00:23:51,360 ratio eating and I am seeing all these problems. 342 00:23:51,360 --> 00:23:54,199 And then I asked them, okay, so what else are you doing? 343 00:23:54,199 --> 00:23:56,679 They typically improve their nutrition quality. 344 00:23:56,679 --> 00:24:02,080 So they're eating only salad and few and they're trying to increase their fiber intake. 345 00:24:02,080 --> 00:24:08,399 And it's really hard to eat so much of uncooked food because cooking helps to absorb more 346 00:24:08,400 --> 00:24:09,220 nutrients. 347 00:24:09,220 --> 00:24:12,020 And then at the same time, they're running five miles every day. 348 00:24:12,020 --> 00:24:16,900 And of course, all of this combinedly can lead to red-like symptoms. 349 00:24:16,900 --> 00:24:25,320 So that's why 12, I think, is a good point if you're combining physical exercise and better 350 00:24:25,320 --> 00:24:26,700 nutrition quality. 351 00:24:26,700 --> 00:24:31,240 Because in mice also, we have seen that if mice are eating healthy food and they're eating 352 00:24:31,240 --> 00:24:37,120 within 10 to 12 hours, then they also live longer than mice that are eating healthy food, 353 00:24:37,120 --> 00:24:40,379 but distributing that calorie over a long period of time. 354 00:24:40,379 --> 00:24:46,300 And this is Rafa Di Cabo's finding from NIH. 355 00:24:46,300 --> 00:24:51,600 He has systematically done this study with two different types of diet and in mice. 356 00:24:51,600 --> 00:24:56,219 And he finds the same thing, that even mice that are eating within 12 hours, they do live 357 00:24:56,219 --> 00:25:00,979 longer than mice that eat randomly even healthy food. 358 00:25:00,979 --> 00:25:06,100 I recall a recent study, I think it was either published in Cell Reports or Cell Reports Medicine. 359 00:25:06,100 --> 00:25:09,820 Forgive me for not remembering which, but both of course, Cell Press journals, excellent 360 00:25:09,820 --> 00:25:15,860 journals, which explored time-restricted feeding in the context of low carbohydrate 361 00:25:15,860 --> 00:25:17,340 or non-low carbohydrate diet. 362 00:25:17,340 --> 00:25:21,939 So it was low carbohydrate versus low carbohydrate and time-restricted. 363 00:25:21,939 --> 00:25:25,139 So these are all caloric matched between groups. 364 00:25:25,139 --> 00:25:27,500 And then non-low carbohydrate diet. 365 00:25:27,500 --> 00:25:31,300 So it's a more standard, I think it was somewhere in the neighborhood of 60% of calories from 366 00:25:31,300 --> 00:25:33,000 complex carbohydrates. 367 00:25:33,000 --> 00:25:40,180 And as I recall, the greatest weight loss, remember, same calories across groups, folks, 368 00:25:40,180 --> 00:25:45,740 was achieved with low carbohydrate plus caloric restriction. 369 00:25:45,740 --> 00:25:50,660 And I wondered why all the popular news venues didn't cover that study, but that's why I'm 370 00:25:50,660 --> 00:25:51,660 bringing it up now. 371 00:25:51,660 --> 00:25:53,700 I thought this is really interesting. 372 00:25:53,700 --> 00:25:57,980 And I'm somebody who's cycled low carbohydrate diet before. 373 00:25:57,980 --> 00:26:03,540 I find it hard to sleep after about three or four days of being on a low starch diet 374 00:26:03,540 --> 00:26:04,540 just personally. 375 00:26:04,540 --> 00:26:08,740 So I like to eat some starches, especially if exercising intensely or working intensely. 376 00:26:08,740 --> 00:26:11,540 That's just a little editorial there. 377 00:26:11,540 --> 00:26:15,780 But look, I know many people who do just feel better on a low carbohydrate diet. 378 00:26:15,780 --> 00:26:17,600 But what do you think of those data? 379 00:26:17,600 --> 00:26:21,800 Because it speaks to the idea that, okay, it's not just the total number of calories. 380 00:26:21,800 --> 00:26:24,460 It's not just the quality of those calories. 381 00:26:24,460 --> 00:26:30,860 Perhaps the timing of those calories and maybe carbohydrate restriction in conjunction with 382 00:26:30,860 --> 00:26:35,740 time-restricted feeding might be the best path for people who are looking to lose weight. 383 00:26:35,740 --> 00:26:42,140 No, I totally agree that when it comes to nutrition, quality, quantity, and timing, 384 00:26:42,140 --> 00:26:43,780 all these three matter. 385 00:26:43,780 --> 00:26:48,700 Nearly 40% of people who maintain healthy body weight, because 60% are overweight and 386 00:26:48,700 --> 00:26:51,800 obese, 40% are maintaining healthy body weight. 387 00:26:51,800 --> 00:26:58,260 And out of those 40%, I would say nearly majority of them are very aware about how much they 388 00:26:58,260 --> 00:27:00,540 are eating and what quality of food they are eating. 389 00:27:00,540 --> 00:27:01,659 So you're really an optimist. 390 00:27:01,659 --> 00:27:06,139 You're looking at the 40% of the glass that's, or should we say not full? 391 00:27:06,139 --> 00:27:08,379 That was a pun intended. 392 00:27:08,379 --> 00:27:10,860 But no, that's a very interesting way of looking at it. 393 00:27:10,860 --> 00:27:17,340 Rather than saying, why are 60% of Americans obese, saying, why are 40% not obese? 394 00:27:17,340 --> 00:27:19,780 That's a very interesting way to look at it. 395 00:27:19,780 --> 00:27:23,540 I mean, subconsciously, we're always making that decision. 396 00:27:23,540 --> 00:27:29,700 I mean, I'm sure that you are not going and eating cheeseburger every day because you 397 00:27:29,700 --> 00:27:30,700 want to improve. 398 00:27:30,700 --> 00:27:31,700 Yeah, exactly. 399 00:27:31,700 --> 00:27:33,580 I wouldn't feel good. 400 00:27:33,580 --> 00:27:38,580 I enjoy cheeseburger now and again, but no, certainly not at this stage or any stage of 401 00:27:38,580 --> 00:27:39,580 my life. 402 00:27:39,580 --> 00:27:44,899 I think people, actually, you think the pandemic had a lot to do with this. 403 00:27:44,900 --> 00:27:51,460 I think that people started to take a look at what they were doing to support or not 404 00:27:51,460 --> 00:27:52,460 support their health generally. 405 00:27:52,460 --> 00:27:55,220 I know people gained a lot of weight during the pandemic. 406 00:27:55,220 --> 00:27:56,540 Other people got really into fitness. 407 00:27:56,540 --> 00:28:01,260 I've seen some colleagues, you've always maintained, you've always been in good shape. 408 00:28:01,260 --> 00:28:04,020 Actually, this first time I've seen you in a while, you seem to have aged backwards. 409 00:28:04,020 --> 00:28:11,360 So you are a poster for your own ideas and hypotheses about time restricted feeding. 410 00:28:11,360 --> 00:28:15,219 But I noticed that during the pandemic, a number of people emerged from the pandemic 411 00:28:15,219 --> 00:28:16,639 in better shape. 412 00:28:16,639 --> 00:28:17,699 Other people in much worse shape. 413 00:28:17,699 --> 00:28:22,379 It seemed like it was like a bimodal distribution there. 414 00:28:22,379 --> 00:28:28,459 So yeah, I get the sense that starting and stopping eating at more or less the same time 415 00:28:28,459 --> 00:28:37,540 each day, even if caloric restriction is not the main focus, has additional benefits. 416 00:28:37,540 --> 00:28:41,340 And we talk about some of those benefits as they relate to the other things that impact 417 00:28:41,340 --> 00:28:42,340 health. 418 00:28:42,340 --> 00:28:45,620 So for instance, if you're starting and stopping eating at more or less the same times each 419 00:28:45,620 --> 00:28:47,940 day, are you sleeping better? 420 00:28:47,940 --> 00:28:53,940 Are you getting more predictable shifts in alertness and sleepiness? 421 00:28:53,940 --> 00:28:56,220 Can you predict when you'll feel good enough to exercise? 422 00:28:56,220 --> 00:29:00,860 Maybe we could talk about that because you, of course, are well known for time restricted 423 00:29:00,860 --> 00:29:04,780 feeding and the science around that, but also other things as well, not the least of which 424 00:29:04,780 --> 00:29:06,620 is circadian biology generally. 425 00:29:06,620 --> 00:29:14,419 So I always think of the main timekeepers for our system being feeding, light, activity, 426 00:29:14,419 --> 00:29:15,419 and social connection. 427 00:29:15,419 --> 00:29:16,419 Did I miss? 428 00:29:16,419 --> 00:29:17,419 And temperature. 429 00:29:17,419 --> 00:29:18,419 Yeah. 430 00:29:18,419 --> 00:29:19,419 Yeah. 431 00:29:19,419 --> 00:29:23,739 So how do these combine with one another and using timing that we begin and stop feeding 432 00:29:23,739 --> 00:29:24,739 as kind of an anchor point? 433 00:29:24,739 --> 00:29:26,020 Can we explore that a little bit? 434 00:29:26,020 --> 00:29:27,020 Yeah. 435 00:29:27,020 --> 00:29:34,020 So we got into this beginning and end and then you asked for the calorie, how much calorie 436 00:29:34,020 --> 00:29:36,940 will break the fast? 437 00:29:36,940 --> 00:29:44,300 One thing that I want the listeners and viewers to bring back to this timing of when we're 438 00:29:44,300 --> 00:29:50,260 breaking the fast because we equate health with weight, body weight. 439 00:29:50,260 --> 00:29:57,180 And that's when we are talking about nutrition quality and quantity because both of them 440 00:29:57,180 --> 00:29:58,780 have impact. 441 00:29:58,780 --> 00:30:04,379 So now let's think about mental health because a lot of people do struggle with mental health. 442 00:30:04,379 --> 00:30:12,220 They have anxiety or depression and also so gut health because there are a lot of people 443 00:30:12,220 --> 00:30:15,960 who also have acid reflux or heartburn. 444 00:30:15,960 --> 00:30:22,139 And we know that acid reflux or heartburn can be exacerbated by caffeine intake and 445 00:30:22,139 --> 00:30:24,760 empty stomach. 446 00:30:24,760 --> 00:30:29,020 Those who have acid reflux or heartburn, they're prone to that. 447 00:30:29,020 --> 00:30:35,820 Then having black coffee in the morning before any food can upset their stomach. 448 00:30:35,820 --> 00:30:42,700 So that's why in those cases, it's very clearly that caffeine for them becomes the trigger 449 00:30:42,700 --> 00:30:47,379 that something, the food is supposed to come and then the stomach is not seeing the food. 450 00:30:47,379 --> 00:30:52,460 So it's overreacting, producing excess acid and that comes up to the esophagus and that's 451 00:30:52,460 --> 00:30:54,980 where they're experiencing. 452 00:30:54,980 --> 00:30:59,060 So if people have that kind of condition, then maybe they should consider when they 453 00:30:59,060 --> 00:31:06,980 drink their first coffee is breaking their overall fast or kind of putting their health 454 00:31:06,980 --> 00:31:10,220 at risk for acid reflux. 455 00:31:10,220 --> 00:31:16,540 The other thing is people who have anxiety, panic attack, we know that caffeine can judge 456 00:31:16,540 --> 00:31:17,540 you off. 457 00:31:17,540 --> 00:31:18,540 Especially on an empty stomach. 458 00:31:18,540 --> 00:31:20,100 Especially on an empty stomach. 459 00:31:20,100 --> 00:31:24,379 So for them, again, caffeine can be a trigger. 460 00:31:24,379 --> 00:31:29,699 So that's why I want to kind of differentiate that there is this mental health and other 461 00:31:29,699 --> 00:31:31,139 aspects of health. 462 00:31:31,139 --> 00:31:37,860 And these are two clear examples where anxiety, panic attack, related to brain health or acid 463 00:31:37,860 --> 00:31:41,379 reflux related to our gut health. 464 00:31:41,379 --> 00:31:49,340 In those cases, when we consume that caffeine in the morning can affect. 465 00:31:49,340 --> 00:31:51,500 And do you avoid caffeine in the morning? 466 00:31:51,500 --> 00:31:55,780 No, actually, here is the interesting history about caffeine. 467 00:31:55,780 --> 00:31:58,060 And this is something I did not know. 468 00:31:58,060 --> 00:32:04,220 And I was once invited to this history of nighttime activity. 469 00:32:04,220 --> 00:32:09,220 And maybe we can take a little bit of detour and talk about nighttime activity because 470 00:32:09,220 --> 00:32:13,020 that fascinates me as a circadian biologist. 471 00:32:13,020 --> 00:32:20,340 Because over the last 200,000 years, we assume that humans, homo sapiens evolved 200,000 472 00:32:20,340 --> 00:32:21,340 years ago. 473 00:32:21,340 --> 00:32:26,100 So we have been, as a species, we have been living on this planet for 200,000 years. 474 00:32:26,100 --> 00:32:33,340 And only in the last, you can say, couple of thousand or 5,000 years when we came to 475 00:32:33,340 --> 00:32:39,340 control fire, or maybe you can even go back to 100,000 years, that is some debate. 476 00:32:39,340 --> 00:32:47,220 So then the question is, well, when you control fire and we lighted up the fire, and we could 477 00:32:47,220 --> 00:32:53,100 light up whenever we wanted, we can add fuel and we can stop the fire when we don't want 478 00:32:53,100 --> 00:32:55,620 it. 479 00:32:55,620 --> 00:33:04,179 That's the key ability in humans that differentiates them from all the other species. 480 00:33:04,179 --> 00:33:05,300 No other species. 481 00:33:05,300 --> 00:33:11,139 We can always say, yes, there are signs of this intelligent decision making. 482 00:33:11,139 --> 00:33:17,860 For example, we know many crows can make decisions, many animals, they kind of figure out, strategize 483 00:33:17,860 --> 00:33:19,500 how to get food. 484 00:33:19,500 --> 00:33:25,800 But controlled use of fire is something very specific to human. 485 00:33:25,800 --> 00:33:33,740 And when we started controlling fire, fire did not essentially extend the day because 486 00:33:33,740 --> 00:33:40,500 fire created an evening that was very different from what people did during the day. 487 00:33:40,500 --> 00:33:47,060 And what people used to do during the day, they worked a lot, means gathering food was 488 00:33:47,060 --> 00:33:49,460 almost everything that we did. 489 00:33:49,460 --> 00:33:57,220 And so in the evening after we brought food, mostly tubers or maybe lentils to cook or 490 00:33:57,220 --> 00:34:05,820 once in a while animals so that we could barbecue, all of these things happened around fire. 491 00:34:05,820 --> 00:34:09,780 And fire was so expensive that it was mostly communal fire. 492 00:34:09,780 --> 00:34:17,900 So if you go back to, for example, Maasai and all these populations that have no access 493 00:34:17,900 --> 00:34:25,540 to electricity and are still living kind of that historical life, fire is a communal event. 494 00:34:25,540 --> 00:34:27,500 And they sat around, they cooked food. 495 00:34:27,500 --> 00:34:29,500 And then what happened? 496 00:34:29,500 --> 00:34:30,820 They did not talk about work. 497 00:34:30,820 --> 00:34:33,420 They talked about culture. 498 00:34:33,420 --> 00:34:38,659 They sang, they danced, they strategize. 499 00:34:38,659 --> 00:34:43,500 That's how politics started, philosophy started, science started, all of these things that 500 00:34:43,500 --> 00:34:48,860 are very unique to human civilization started around fireside chat. 501 00:34:48,860 --> 00:34:53,340 So in that way, if you think about it, we are still doing fireside chat. 502 00:34:53,340 --> 00:34:57,980 The only thing is we have the microwave and the television, our social media. 503 00:34:57,980 --> 00:35:00,780 And now we chat with our phones. 504 00:35:00,780 --> 00:35:06,340 So we are hooked to that evening activity because that's when we are completely free 505 00:35:06,340 --> 00:35:10,980 from the pressure of the work and we want to express ourselves. 506 00:35:10,980 --> 00:35:12,540 That's our independent time. 507 00:35:12,540 --> 00:35:17,780 So that's why most people find it very difficult to do time-restricted eating and stop eating 508 00:35:17,780 --> 00:35:25,740 at six o'clock because it's ingrained in our even DNA that we want to eat and socialize 509 00:35:25,740 --> 00:35:28,140 in the evening. 510 00:35:28,140 --> 00:35:34,940 So now let's fast forward and see what is the role of coffee in this. 511 00:35:34,940 --> 00:35:41,020 If you look at coffee concoctions, particularly cafe, where people can come and have a little 512 00:35:41,020 --> 00:35:47,340 bit of coffee and socialize, it also started as an evening activity. 513 00:35:47,340 --> 00:35:56,580 And now we can go back to Istanbul because that's one place where cafes started in mid-16th 514 00:35:56,580 --> 00:35:57,580 century. 515 00:35:57,580 --> 00:36:02,500 So we are talking about 1540 to 1570. 516 00:36:02,500 --> 00:36:04,660 And that's when... 517 00:36:04,660 --> 00:36:09,980 I'm sorry, I'm forgetting the name of historians who actually invited me. 518 00:36:09,980 --> 00:36:14,140 Okay, his name is Cemal Kefadar. 519 00:36:14,140 --> 00:36:17,500 And I must be butchering the name, but I'll try... 520 00:36:17,500 --> 00:36:18,580 We will provide the spelling. 521 00:36:18,580 --> 00:36:22,620 And the wonderful thing about social media is somebody will tell us on YouTube the proper 522 00:36:22,620 --> 00:36:23,620 pronunciation. 523 00:36:23,620 --> 00:36:24,779 So this is a great opportunity. 524 00:36:24,779 --> 00:36:28,500 If you know the proper pronunciation, please put it in the comments on YouTube. 525 00:36:28,500 --> 00:36:32,259 Actually, I'm even checking right now in my EndNote library. 526 00:36:32,259 --> 00:36:33,700 It's not picking up that. 527 00:36:33,700 --> 00:36:34,700 That's right. 528 00:36:34,700 --> 00:36:35,700 We'll provide a link. 529 00:36:35,700 --> 00:36:43,220 So what happened was coffee was introduced and people came and drank coffee and talked 530 00:36:43,220 --> 00:36:45,100 about politics. 531 00:36:45,100 --> 00:36:46,100 At night. 532 00:36:46,100 --> 00:36:47,100 At night, at evening. 533 00:36:47,100 --> 00:36:53,980 And it actually started with Sufi branch of Islam because they are the ones who consume 534 00:36:53,980 --> 00:36:55,859 coffee in the evening. 535 00:36:55,859 --> 00:37:00,740 And this is the branch of Islam where they actually sing and dance and all that happened 536 00:37:00,740 --> 00:37:02,140 in the evening. 537 00:37:02,140 --> 00:37:06,399 So singing and dancing by the Sufis. 538 00:37:06,400 --> 00:37:14,820 And then here in Istanbul, people started congregating and having talk about politics. 539 00:37:14,820 --> 00:37:24,740 But then around the same time, in Turkey, there was a good sizeable number of Muslims 540 00:37:24,740 --> 00:37:26,900 who have to do five prayers a day. 541 00:37:26,900 --> 00:37:28,600 Number of prayers at set time. 542 00:37:28,600 --> 00:37:31,440 The first prayer is very early in the morning. 543 00:37:31,440 --> 00:37:35,560 And then they figured out that if they wake up and immediately have coffee, then they 544 00:37:35,560 --> 00:37:38,380 can stay awake for the first prayer. 545 00:37:38,380 --> 00:37:40,860 And in that way, they felt pretty good. 546 00:37:40,860 --> 00:37:41,860 They woke up. 547 00:37:41,860 --> 00:37:48,340 So that's how it started as a morning drink to stay awake and kind of get on with the 548 00:37:48,340 --> 00:37:49,620 day. 549 00:37:49,620 --> 00:37:53,580 But what happened was, I don't know whether you have ever tried Turkish coffee. 550 00:37:53,580 --> 00:37:54,580 It's very thick. 551 00:37:54,580 --> 00:37:55,580 Yeah. 552 00:37:55,580 --> 00:38:00,299 A few years ago, right before the pandemic, 2019, I traveled to Turkey. 553 00:38:00,299 --> 00:38:02,200 First of all, the food is amazing. 554 00:38:02,200 --> 00:38:04,940 The coffee is indeed very, very thick. 555 00:38:04,940 --> 00:38:06,300 Yeah. 556 00:38:06,300 --> 00:38:12,340 And I have a pretty high caffeine tolerance from drinking so much coffee and yerba mate 557 00:38:12,340 --> 00:38:13,940 over the years and still do. 558 00:38:13,940 --> 00:38:15,300 I really enjoy it. 559 00:38:15,300 --> 00:38:18,380 But yeah, it's very intense. 560 00:38:18,380 --> 00:38:24,620 So what you're saying is that coffee intake started as a way to extend into the night. 561 00:38:24,620 --> 00:38:29,100 The ability to extend into the night at all was because of the ability to harness fire. 562 00:38:29,100 --> 00:38:35,900 And then coffee's stimulatory properties were leveraged toward morning, which is essentially 563 00:38:35,900 --> 00:38:38,100 like the way I think about it. 564 00:38:38,100 --> 00:38:43,060 We did an episode on caffeine and someone else, Michael Pollan, not I, described it 565 00:38:43,060 --> 00:38:47,140 this way, that you're sort of taking a loan out on your energy bank account with coffee. 566 00:38:47,140 --> 00:38:48,660 You're suppressing the adenosine system. 567 00:38:48,660 --> 00:38:50,160 Adenosine makes you sleepy. 568 00:38:50,160 --> 00:38:51,980 But that adenosine system will kick in later. 569 00:38:51,980 --> 00:38:55,779 So it's a credit card of sorts with an interest rate. 570 00:38:55,780 --> 00:39:01,540 And the interest being an energetic lag that you're going to experience in the afternoon. 571 00:39:01,540 --> 00:39:02,540 Yeah. 572 00:39:02,540 --> 00:39:08,060 But what happened was the strong coffee, that gave heartburn and acid reflux to a lot of 573 00:39:08,060 --> 00:39:09,460 people. 574 00:39:09,460 --> 00:39:14,300 So then they started eating something with coffee. 575 00:39:14,300 --> 00:39:17,500 And that's how the culture of breakfast started in Turkey. 576 00:39:17,500 --> 00:39:22,380 So coffee actually led to the development of breakfast, not the other way around. 577 00:39:22,380 --> 00:39:24,020 And that, yeah. 578 00:39:24,020 --> 00:39:25,020 That's very heartening. 579 00:39:25,020 --> 00:39:34,140 Again, no pun intended for the caffeine lovers among us, which I count myself one of those. 580 00:39:34,140 --> 00:39:37,580 So essentially the food before coffee became breakfast. 581 00:39:37,580 --> 00:39:43,340 So you kind of give something to your stomach so it's busy digesting that. 582 00:39:43,340 --> 00:39:49,460 And then when the coffee comes in, it's not reacting to coffee and creating acid reflux. 583 00:39:49,460 --> 00:39:51,060 So it wasn't as fascinating. 584 00:39:51,060 --> 00:39:55,140 So it wasn't that breakfast is necessary on its own. 585 00:39:55,140 --> 00:40:00,740 It was essentially a buffer against the gastric distress caused by caffeine intake. 586 00:40:00,740 --> 00:40:03,720 At least in that culture, in that context. 587 00:40:03,720 --> 00:40:07,100 We cannot say that whether the same thing happened in all over the world where coffee 588 00:40:07,100 --> 00:40:11,220 is not consumed, but still people eat something in the morning. 589 00:40:11,220 --> 00:40:15,299 You said you start your first meal of the day at around eight. 590 00:40:15,299 --> 00:40:16,299 What time do you wake up? 591 00:40:16,299 --> 00:40:17,299 I wake up around six. 592 00:40:17,299 --> 00:40:18,740 I started at six. 593 00:40:18,740 --> 00:40:20,220 What time do you have your first caffeine? 594 00:40:20,220 --> 00:40:21,939 No, actually I have... 595 00:40:21,939 --> 00:40:25,939 So that's why I brought up this story because I have coffee after my breakfast. 596 00:40:25,939 --> 00:40:26,939 Fantastic. 597 00:40:26,939 --> 00:40:31,020 I'm a big proponent of delaying caffeine intake for a few hours after waking for other reasons 598 00:40:31,020 --> 00:40:35,259 that my listeners have heard me talk about endlessly, so I won't bother with that now. 599 00:40:35,259 --> 00:40:43,020 But I think just suffice to say that allowing some of the natural waking up signals to occur 600 00:40:43,020 --> 00:40:49,939 and using light to kind of clear away and adenosine to further extend and activity is 601 00:40:49,940 --> 00:40:53,100 better than using a stimulant, but until a few hours later. 602 00:40:53,100 --> 00:40:57,300 This is fascinating because I've never thought about the link between extension into the 603 00:40:57,300 --> 00:41:24,300 night socialization or socializing rather, feeding and caffeine. 57523

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