1 00:00:05,050 --> 00:00:08,099 Jen: Welcome to the So That's Why podcast, where we unpack the 2 00:00:08,190 --> 00:00:10,129 science behind everyday questions. 3 00:00:10,329 --> 00:00:10,790 I'm Jen. 4 00:00:11,090 --> 00:00:11,469 Chris: I'm Chris. 5 00:00:12,029 --> 00:00:12,669 Matt: And I'm Matt. 6 00:00:13,469 --> 00:00:16,750 Jen: Okay, so here's one that can sometimes be slightly awkward, but 7 00:00:16,790 --> 00:00:18,850 is actually genuinely fascinating. 8 00:00:19,330 --> 00:00:22,590 Why does alcohol affect people so differently? 9 00:00:22,980 --> 00:00:26,970 'Cause in any group you'll see that one person getting visibly merry 10 00:00:27,029 --> 00:00:30,369 after two drinks, while someone else can go through the whole evening 11 00:00:30,709 --> 00:00:32,489 looking completely unaffected. 12 00:00:33,129 --> 00:00:38,269 Matt: Yep, we've all seen it, that social dynamic that has a different person 13 00:00:38,310 --> 00:00:41,470 responding to alcohol in a different way. 14 00:00:41,570 --> 00:00:45,930 Uh, one who's chatty after half a glass, and then there's one who's treating their 15 00:00:46,050 --> 00:00:47,870 first bottle of wine like it's a warm-up. 16 00:00:48,230 --> 00:00:54,050 And neither of them can really explain why that sort of phenomenon exists. 17 00:00:54,100 --> 00:00:58,530 And I possibly would, would, uh, posit to you that they might not even care. 18 00:00:59,589 --> 00:01:00,570 Chris: Or remember the next day. 19 00:01:01,370 --> 00:01:01,570 Yeah, 20 00:01:01,610 --> 00:01:01,629 Jen: yeah, yeah. 21 00:01:01,629 --> 00:01:02,269 Or either. 22 00:01:02,449 --> 00:01:02,809 Yeah. 23 00:01:02,890 --> 00:01:05,710 Chris: Um, and the answer here actually turns out to be one of the most 24 00:01:06,089 --> 00:01:07,770 individual pieces of biology there is. 25 00:01:08,050 --> 00:01:13,810 So it's shaped by, uh, genetics, by body water content, by sex, age, what 26 00:01:13,870 --> 00:01:17,990 you've eaten, medications, even how you're feeling before that first drink. 27 00:01:18,910 --> 00:01:23,420 Jen: So by the end of this episode, you'll understand why the same few drinks 28 00:01:23,490 --> 00:01:28,780 can land completely differently on two people sitting side by side, and we'll 29 00:01:28,870 --> 00:01:34,050 also look at how drinking patterns are changing and what the science actually 30 00:01:34,090 --> 00:01:35,929 says about lower risk approaches. 31 00:01:36,550 --> 00:01:39,410 Matt: Yeah, and just to say upfront, we're not here to tell 32 00:01:39,490 --> 00:01:42,490 anyone what to do with alcohol. 33 00:01:42,850 --> 00:01:46,130 It's more about understanding why responses differ so 34 00:01:46,230 --> 00:01:47,470 much in the first place. 35 00:01:48,150 --> 00:01:48,650 Chris: Yeah, exactly. 36 00:01:48,710 --> 00:01:51,130 So the science we're looking at is the same for everyone, it's just 37 00:01:51,170 --> 00:01:52,150 with different starting points. 38 00:01:52,400 --> 00:01:55,190 And just to also say, we're only covering the science today. 39 00:01:55,260 --> 00:01:59,190 We're not discussing that one friend that you always have who seems to go missing 40 00:01:59,210 --> 00:02:00,610 every time it's their turn to buy a round. 41 00:02:01,289 --> 00:02:01,530 Jen: Yeah. 42 00:02:02,190 --> 00:02:04,149 Matt: I wonder if there is actually science for that. 43 00:02:04,250 --> 00:02:04,450 Jen: Yeah. 44 00:02:04,929 --> 00:02:07,230 Or if you are that friend, buy a round. 45 00:02:08,110 --> 00:02:10,310 Chris: Sha- Shauli looked at me when you said 46 00:02:10,329 --> 00:02:12,050 that. 47 00:02:12,150 --> 00:02:16,130 Jen: Okay, so let's start with, um, giving this a number to 48 00:02:16,170 --> 00:02:17,610 give it, like, a sense of scale. 49 00:02:17,990 --> 00:02:25,130 So researchers have identified over 400 genomic regions and more than 500 50 00:02:25,210 --> 00:02:30,530 genetic variants linked to how people experience and metabolize alcohol. 51 00:02:30,650 --> 00:02:33,769 Matt: Which again, just wanna meet the person that counts these, right? 52 00:02:34,210 --> 00:02:40,170 So there's over 500 genetic factors influencing how you respond before 53 00:02:40,290 --> 00:02:43,210 you've even had a sip, uh, of the drink. 54 00:02:43,730 --> 00:02:46,810 Uh, which is a lot of va- variation, I think, baked in right from the start. 55 00:02:47,170 --> 00:02:51,330 Chris: Yeah, it really is, and that's why kinda blanket advice doesn't really 56 00:02:51,410 --> 00:02:52,830 fit well when it comes to alcohol. 57 00:02:53,210 --> 00:02:57,310 So two people can have the same drink, or drink the same amount at the same pace, 58 00:02:57,830 --> 00:03:01,730 but still end up with very different blood alcohol levels and, of course, effects. 59 00:03:01,770 --> 00:03:05,567 Jen: Which makes the idea of, "I know my limits" only part- True, because 60 00:03:05,627 --> 00:03:10,987 those limits, they shift depending on sleep, food, stress, age, and 61 00:03:11,027 --> 00:03:12,487 like we said before, medications 62 00:03:13,147 --> 00:03:13,307 Matt: Yeah. 63 00:03:13,427 --> 00:03:19,047 So the same person, uh, on a Tuesday after dinner has a very different sort of 64 00:03:19,167 --> 00:03:23,887 physiological setup, uh, from that exact same person- Mm … on a Friday night 65 00:03:24,187 --> 00:03:26,588 after a long week and possibly no food. 66 00:03:26,627 --> 00:03:26,828 Jen: Mm. 67 00:03:27,187 --> 00:03:30,307 Chris: Yeah, and this whole thing comes down to how the liver 68 00:03:30,387 --> 00:03:31,987 processes the alcohol that we drink. 69 00:03:32,027 --> 00:03:36,547 So alcohol, or ethanol, it gets absorbed through the stomach and the 70 00:03:36,607 --> 00:03:38,287 small intestine into the bloodstream. 71 00:03:38,667 --> 00:03:41,867 Then the liver breaks it down in, in two main steps. 72 00:03:42,367 --> 00:03:46,707 Jen: Okay, so step one, it uses an enzyme called alcohol dehydrogenase, 73 00:03:46,807 --> 00:03:51,647 or ADH, and that converts the alcohol into acetaldehyde. 74 00:03:51,768 --> 00:03:57,147 And acetaldehyde is the nasty part, so it's toxic and carcinogenic, 75 00:03:57,227 --> 00:04:00,887 and it's responsible for a lot of the unpleasant effects of drinking. 76 00:04:01,408 --> 00:04:03,287 Matt: Yeah, like the headaches and the nausea. 77 00:04:03,527 --> 00:04:05,867 They don't really come from the alcohol itself. 78 00:04:06,307 --> 00:04:10,668 It's what the body, um, turns it into, isn't it, while processing it? 79 00:04:11,128 --> 00:04:11,787 Chris: Mm. Yeah, that's right. 80 00:04:11,827 --> 00:04:16,247 And step two uses another enzyme called aldehyde dehydrogenase. 81 00:04:16,287 --> 00:04:21,207 So this is ALDH, and this is to convert the, the acetaldehyde into 82 00:04:21,287 --> 00:04:25,387 acetate, which is then broken down into water and carbon dioxide. 83 00:04:25,467 --> 00:04:29,247 Sorry, I know we're using a lot of, uh, chemically rich names here, and I'm not 84 00:04:29,287 --> 00:04:30,527 quite pronouncing some of them correctly. 85 00:04:30,588 --> 00:04:30,787 But, uh, there you go. 86 00:04:30,827 --> 00:04:31,107 Matt: Yeah, I'm just 87 00:04:31,167 --> 00:04:32,607 glad I'm not supposed to say any of them. 88 00:04:32,627 --> 00:04:32,908 That's- 89 00:04:36,037 --> 00:04:39,757 Jen: But the key, um, point in this process is speed. 90 00:04:40,057 --> 00:04:45,237 So the liver can only process alcohol at roughly one standard drink per hour. 91 00:04:45,617 --> 00:04:49,157 So anything faster than that, it just builds up in your system. 92 00:04:49,697 --> 00:04:49,877 Matt: Yeah. 93 00:04:49,997 --> 00:04:53,277 So it's not that the liver is struggling per se. 94 00:04:53,658 --> 00:04:58,037 It's, you gotta think of it more like a single, uh, road, a single lane road 95 00:04:58,078 --> 00:04:59,917 with traffic sort of building up behind 96 00:04:59,978 --> 00:05:00,197 it. 97 00:05:00,217 --> 00:05:00,227 Jen: Mm-hmm. 98 00:05:00,277 --> 00:05:00,417 Yeah. 99 00:05:00,677 --> 00:05:01,277 Chris: Yeah, pretty much. 100 00:05:01,417 --> 00:05:02,137 It is like that. 101 00:05:02,158 --> 00:05:06,297 And, um, that speed is largely genetically determined, uh, because 102 00:05:06,337 --> 00:05:08,158 those enzymes vary between people. 103 00:05:08,897 --> 00:05:15,057 Jen: So the two main ones are ADH1B, and that enzyme controls how quickly 104 00:05:15,197 --> 00:05:21,277 alcohol becomes acetaldehyde, and then ALDH2, and that controls how quickly 105 00:05:21,318 --> 00:05:23,537 the acetaldehyde then gets cleared. 106 00:05:23,838 --> 00:05:26,197 Matt: Can I just say well done, guys, on the, uh, on the naming 107 00:05:26,237 --> 00:05:27,477 conventions going on here. 108 00:05:28,017 --> 00:05:28,237 Chris: Yeah. 109 00:05:28,318 --> 00:05:29,517 Jen did better than me on that one. 110 00:05:30,338 --> 00:05:30,978 One, one-nil. 111 00:05:31,097 --> 00:05:31,537 One-zero. 112 00:05:32,658 --> 00:05:33,117 Jen: Woo. 113 00:05:33,437 --> 00:05:34,957 Matt: Jen's degree in biochemistry. 114 00:05:35,018 --> 00:05:35,818 Jen: It's finally coming into 115 00:05:35,937 --> 00:05:36,097 play. 116 00:05:36,097 --> 00:05:36,177 Matt: Yeah. 117 00:05:36,217 --> 00:05:36,757 Well done. 118 00:05:38,658 --> 00:05:42,417 So if one, uh, runs fast and one, one of these processes runs fast 119 00:05:42,457 --> 00:05:44,937 and one runs slow, you're gonna get this backlog, aren't you? 120 00:05:44,997 --> 00:05:46,817 You're gonna get, um, a buildup. 121 00:05:47,238 --> 00:05:49,837 Uh, and that's the toxic bit, isn't it, in the middle? 122 00:05:49,857 --> 00:05:49,867 Mm-hmm. 123 00:05:49,867 --> 00:05:51,857 Which sounds, if I'm honest, a little bit unpleasant. 124 00:05:52,338 --> 00:05:53,277 Chris: Yeah, it certainly can be. 125 00:05:53,317 --> 00:05:58,237 And, um, it's especially well-studied in East Asian populations. 126 00:05:59,018 --> 00:06:05,137 And around a third carry a variant of this ALDH2 that doesn't work properly, which 127 00:06:05,198 --> 00:06:07,897 causes flushing even after small amounts. 128 00:06:09,274 --> 00:06:11,974 Jen: And then there's been, there's been lots of other genetic studies that have 129 00:06:12,014 --> 00:06:16,694 confirmed that both of these enzymes, they strongly influence that response. 130 00:06:16,724 --> 00:06:21,134 So it's not psychological, it's the body genuinely struggling to 131 00:06:21,234 --> 00:06:23,674 clear the acetaldehyde efficiently. 132 00:06:24,574 --> 00:06:29,994 Matt: And I guess that would naturally discourage, in theory, heavier drinking 133 00:06:30,134 --> 00:06:31,634 for, uh, a lot of people perhaps. 134 00:06:31,674 --> 00:06:31,774 Jen: Mm. 135 00:06:32,174 --> 00:06:33,614 Chris: Yeah, that's one of the leading theories. 136 00:06:33,734 --> 00:06:37,514 Um, the physical reaction acts as a pretty good built-in deterrent, doesn't it? 137 00:06:38,054 --> 00:06:41,374 Uh, but where people do drink through it, just through kind of stubbornness 138 00:06:41,453 --> 00:06:48,064 or desire- … um, the acetaldehyde exposure carries increased long-term risk, 139 00:06:48,334 --> 00:06:49,894 like particularly with certain cancers. 140 00:06:51,174 --> 00:06:53,354 Jen: So genetics is the foundation, isn't it? 141 00:06:53,434 --> 00:06:56,274 Then everything else layers on top. 142 00:06:56,374 --> 00:06:59,854 Um, I think what, biological sex, that's one of the most consistent 143 00:06:59,894 --> 00:07:04,034 differences, and also a lot of it comes down to body water. 144 00:07:04,654 --> 00:07:08,314 Matt: Yeah, so when people say men and women can't really be 145 00:07:08,354 --> 00:07:11,754 compared drink for drink, unless they're talking about my mum- 146 00:07:12,124 --> 00:07:16,014 there's actually a sort of physiological reason, reason behind that, right? 147 00:07:16,094 --> 00:07:17,254 Jen: Shout out to Matt's mum. 148 00:07:17,354 --> 00:07:17,674 Matt: Yeah, yeah. 149 00:07:17,874 --> 00:07:18,254 Legend. 150 00:07:19,314 --> 00:07:19,694 Chris: Yeah, there is. 151 00:07:19,794 --> 00:07:20,894 I can't comment about your mum. 152 00:07:21,164 --> 00:07:23,574 And I, I've not had a drink with her, but it sounds like it'd be good fun. 153 00:07:24,394 --> 00:07:29,074 Um, but alcohol is water soluble, so it distributes through, um, evenly 154 00:07:29,114 --> 00:07:31,134 through the body in, in its water. 155 00:07:31,154 --> 00:07:34,274 And on average, men have more total body water. 156 00:07:34,414 --> 00:07:38,274 So the same drink in men is of course more diluted than in women. 157 00:07:38,284 --> 00:07:38,294 Matt: Mm. 158 00:07:38,334 --> 00:07:40,114 Jen: And here's another interesting difference. 159 00:07:40,154 --> 00:07:45,714 So men have ADH activity, so the enzyme, in their stomach lining, so they can 160 00:07:45,754 --> 00:07:50,554 metabolize part of the alcohol before it even reaches the bloodstream. 161 00:07:50,804 --> 00:07:51,534 And guess what? 162 00:07:52,194 --> 00:07:57,554 Women don't have that same level of enzyme, so they can't, um, metabolize it. 163 00:07:58,474 --> 00:08:04,244 So for men then, the same glass of wine doesn't enter the system in quite the same 164 00:08:04,294 --> 00:08:05,654 way from the start as it does for women. 165 00:08:05,814 --> 00:08:06,254 Mm. 166 00:08:06,354 --> 00:08:07,755 Chris: Um, yeah, precisely. 167 00:08:07,834 --> 00:08:10,635 And if you combine that with body water differences and you get a 168 00:08:10,695 --> 00:08:13,574 higher blood alcohol concentration from the same intake in women. 169 00:08:15,074 --> 00:08:17,374 Jen: So body composition matters too then, doesn't it? 170 00:08:17,434 --> 00:08:21,194 So muscle holds more water than fat tissue, so higher muscle mass 171 00:08:21,294 --> 00:08:25,595 generally means lower blood alcohol concentration for the same drinks. 172 00:08:26,175 --> 00:08:29,394 Matt: So two people of the same weight can still have very 173 00:08:29,454 --> 00:08:33,374 different responses depending on their actual bodily composition. 174 00:08:33,734 --> 00:08:36,534 So the scales themselves don't really tell the full story. 175 00:08:36,693 --> 00:08:36,933 Jen: Mm. 176 00:08:37,095 --> 00:08:37,693 Chris: Yeah, it's true. 177 00:08:37,734 --> 00:08:40,453 And then we come to age, and age adds another layer. 178 00:08:40,494 --> 00:08:45,774 So we lose roughly 3 to 8% of lean muscle mass per decade after 30. 179 00:08:46,354 --> 00:08:47,054 That's not great, is it? 180 00:08:47,095 --> 00:08:49,854 I'm not, always be these bad stats are good for that. 181 00:08:50,034 --> 00:08:52,834 Um, I'm sure there are benefits of getting older but, you know. 182 00:08:52,874 --> 00:08:52,944 We, we, we bring the facts. 183 00:08:52,974 --> 00:08:55,234 Losing lean muscle mass is one of them, yeah. 184 00:08:55,795 --> 00:09:00,314 Um, and of course, if you lose lean muscle mass, your kinda total body 185 00:09:00,374 --> 00:09:02,534 water is gonna decrease over time too 186 00:09:03,391 --> 00:09:05,891 Jen: Well, I'm joining your joy-bringing party. 187 00:09:06,411 --> 00:09:09,830 The, uh, liver also becomes less efficient, so alcohol 188 00:09:09,870 --> 00:09:11,431 stays in the system longer. 189 00:09:11,531 --> 00:09:15,171 And that's why people often say, don't they, that drinks hit harder 190 00:09:15,191 --> 00:09:16,751 in their 40s than their 20s? 191 00:09:16,810 --> 00:09:18,751 It's a real physiological shift. 192 00:09:19,550 --> 00:09:19,711 Matt: Yeah. 193 00:09:19,790 --> 00:09:25,211 And it also explains why people naturally start moderating as they get older. 194 00:09:25,550 --> 00:09:27,870 Their body actually starts to give some immediate feedback. 195 00:09:27,911 --> 00:09:28,070 Jen: Mm. 196 00:09:28,491 --> 00:09:28,610 Chris: Yeah. 197 00:09:28,651 --> 00:09:33,290 And another consideration with age is that, um, around 80% of adults over 198 00:09:33,491 --> 00:09:37,310 65 are taking at least one medication that can interact with alcohol. 199 00:09:37,431 --> 00:09:40,350 So the situation does become more complex with age anyway. 200 00:09:40,371 --> 00:09:41,771 There's more kind of factors going on. 201 00:09:41,991 --> 00:09:42,371 Jen: Yeah. 202 00:09:42,491 --> 00:09:44,691 And then there's what's happening in the moment, isn't it? 203 00:09:44,711 --> 00:09:47,491 Like food, drink type, and context. 204 00:09:47,570 --> 00:09:48,350 They all matter. 205 00:09:49,290 --> 00:09:49,531 Matt: Yeah. 206 00:09:49,631 --> 00:09:52,971 And there's this idea that I've heard, you know, that you're lining 207 00:09:53,031 --> 00:09:54,810 your stomach before drinking. 208 00:09:55,441 --> 00:09:56,911 My question is, does that actually work? 209 00:09:57,590 --> 00:10:02,251 Chris: It does, and, uh, it works because food slows gastric emptying, which I 210 00:10:02,271 --> 00:10:03,631 appreciate sounds pretty disgusting. 211 00:10:04,421 --> 00:10:04,570 Jen: Very 212 00:10:04,631 --> 00:10:05,850 scientific there, Chris. 213 00:10:05,971 --> 00:10:06,310 Chris: Yeah. 214 00:10:06,431 --> 00:10:06,900 Sorry about that. 215 00:10:08,090 --> 00:10:09,349 That's put me off my lunch now. 216 00:10:10,350 --> 00:10:13,761 Um, but especially meals that have got, um, fats and carbs. 217 00:10:14,251 --> 00:10:18,340 They reduce how quickly that alcohol is absorbed, so it can significantly 218 00:10:18,371 --> 00:10:21,911 reduce peak alcohol blood levels by eating the right kind of food. 219 00:10:21,951 --> 00:10:23,451 Jen: And drink type matters, too. 220 00:10:23,491 --> 00:10:27,531 So spirits absorb faster, while beer and wine are slower. 221 00:10:27,570 --> 00:10:32,891 And then carbonation speeds up absorption, so, like, sparkling drinks, they often 222 00:10:32,951 --> 00:10:34,850 hit faster than people would expect. 223 00:10:34,951 --> 00:10:35,951 Matt: That's an interesting one, isn't it? 224 00:10:36,090 --> 00:10:40,471 So your prosecco at a wedding on an empty stomach is basically 225 00:10:40,491 --> 00:10:42,391 the perfect storm of chemistry. 226 00:10:43,131 --> 00:10:45,731 Jen: Or a way to get people to buy more at the bar, maybe. 227 00:10:46,241 --> 00:10:46,251 Matt: Yeah. 228 00:10:46,431 --> 00:10:48,290 You put… But e- I'm not saying either way. 229 00:10:48,511 --> 00:10:50,751 Chris: So if you have a prosecco on an empty stomach at a wedding 230 00:10:50,931 --> 00:10:53,401 reception, you can say, "This is just a chemistry experiment gone wrong." 231 00:10:53,840 --> 00:10:54,671 Jen: Absolutely. 232 00:10:54,691 --> 00:10:55,060 Chris: Who knows? 233 00:10:55,931 --> 00:10:58,401 Jen: And here's another one, though, that's worth us clearing up. 234 00:10:58,711 --> 00:11:03,911 Um, water doesn't lower blood alcohol levels or speed up metabolism. 235 00:11:03,931 --> 00:11:08,431 It can help with hydration and headaches, but not the intoxication itself. 236 00:11:08,751 --> 00:11:11,931 Chris: Yep, it's true, and studies have shown that, um, water only 237 00:11:11,971 --> 00:11:13,911 has a modest effect on hangovers. 238 00:11:14,441 --> 00:11:18,231 Uh, so the main drivers of inflammation and oxidative stress aren't 239 00:11:18,271 --> 00:11:19,790 really fixed by hydration alone. 240 00:11:20,871 --> 00:11:24,090 Matt: So, you know, the big sort of glass of water fixes everything 241 00:11:24,231 --> 00:11:27,310 strategy is mostly for comfort. 242 00:11:27,411 --> 00:11:28,411 It's not chemistry. 243 00:11:28,671 --> 00:11:30,211 Jen: It's always a good idea, though, isn't it? 244 00:11:30,350 --> 00:11:30,570 Chris: That's right. 245 00:11:30,590 --> 00:11:33,651 I mean, hydration, as we've covered a lot, helps, kind of, everything. 246 00:11:33,691 --> 00:11:35,998 It's the root to- goodness across the board. 247 00:11:36,579 --> 00:11:39,617 Um, and it, course it will make you feel a little bit better, but it doesn't really 248 00:11:39,718 --> 00:11:41,518 address what's going on biologically. 249 00:11:42,018 --> 00:11:45,358 And, uh, that's where medications become another huge factor here. 250 00:11:45,419 --> 00:11:49,137 So as I mentioned earlier, a lot of adults are taking medication, particularly 251 00:11:49,157 --> 00:11:53,358 as they get older, and I think it's around 40% of adults across all ages 252 00:11:53,438 --> 00:11:56,559 are taking something, some form of medication that can interact with alcohol. 253 00:11:57,157 --> 00:12:00,878 And these interactions show up a significant proportion of emergency 254 00:12:00,938 --> 00:12:02,058 admissions related to alcohol. 255 00:12:02,278 --> 00:12:02,558 Jen: Mm. 256 00:12:03,157 --> 00:12:05,598 Matt: That includes pretty common things too, doesn't it? 257 00:12:05,778 --> 00:12:08,659 Like we've got painkillers, we've got antihistamines, sleep 258 00:12:08,738 --> 00:12:09,659 aids, they're all involved. 259 00:12:10,098 --> 00:12:10,839 Chris: Yeah, all of those. 260 00:12:10,979 --> 00:12:15,799 And some amplify sedation, others affect, uh, liver metabolism, some 261 00:12:15,838 --> 00:12:19,718 increase bleeding risk, and all of these effects can happen at actually 262 00:12:19,799 --> 00:12:21,418 relatively low alcohol levels. 263 00:12:22,178 --> 00:12:24,698 Jen: And that ties into how people think about tolerance. 264 00:12:24,757 --> 00:12:29,418 So when someone says they hold their drink well, that's usually functional 265 00:12:29,478 --> 00:12:33,518 tolerance, the brain adapting, so the outward signs are reduced. 266 00:12:34,178 --> 00:12:37,536 Matt: Yeah, but that doesn't mean the internal effects are reduced. 267 00:12:38,098 --> 00:12:38,538 Chris: No. 268 00:12:38,598 --> 00:12:41,718 So the, the brain compensates behaviorally, but the liver 269 00:12:41,778 --> 00:12:45,798 and other organs are still processing that alcohol load. 270 00:12:45,838 --> 00:12:49,518 Jen: And over time, um, reverse tolerance can happen in heavy drinkers too. 271 00:12:49,617 --> 00:12:53,838 So where liver damage reduces metabolism, so small amounts 272 00:12:53,898 --> 00:12:56,038 suddenly have a stronger effect. 273 00:12:56,257 --> 00:12:59,558 Matt: Yeah, so the system can actually swing the other way entirely. 274 00:12:59,638 --> 00:12:59,778 Jen: Mm. 275 00:13:00,058 --> 00:13:00,718 Chris: Yep, it can. 276 00:13:00,798 --> 00:13:04,738 And of course, um, mood and stress also matter a great deal here. 277 00:13:04,798 --> 00:13:09,978 So anxiety, uh, fatigue, low food intake, they all reduce your body's 278 00:13:10,038 --> 00:13:11,877 resilience to the effects of alcohol. 279 00:13:12,418 --> 00:13:15,257 Jen: And those kinds of factors are, they're partly why drinking 280 00:13:15,338 --> 00:13:16,997 patterns are shifting more broadly. 281 00:13:17,098 --> 00:13:22,138 So it's worth us, um, noting that behavior is changing. 282 00:13:22,238 --> 00:13:28,098 So in the UK, around a third of 18 to 24-year-olds don't drink at all. 283 00:13:28,138 --> 00:13:28,918 That's quite big. 284 00:13:29,358 --> 00:13:30,377 Matt: It's a real shift, eh? 285 00:13:30,418 --> 00:13:32,818 Compared to certainly, I would say my generation. 286 00:13:32,877 --> 00:13:34,458 Mm. You know, previous generations. 287 00:13:35,148 --> 00:13:38,958 And there's also this sort of drink less, drink better trend, which seems 288 00:13:39,017 --> 00:13:40,617 to be happening more broadly as well. 289 00:13:40,638 --> 00:13:40,718 Jen: Mm. 290 00:13:41,278 --> 00:13:43,257 Chris: It is, and so many young people seem to just go out at 291 00:13:43,298 --> 00:13:46,098 midnight and, and dance rather than frequent the pubs, isn't it? 292 00:13:46,138 --> 00:13:46,178 Mm. Yeah. 293 00:13:46,178 --> 00:13:47,257 Which is not good for the pubs. 294 00:13:47,298 --> 00:13:48,218 You gotta keep the pubs going. 295 00:13:48,718 --> 00:13:50,117 Or be a thing of the past before too long. 296 00:13:50,838 --> 00:13:51,638 Do you get pubs in the US? 297 00:13:51,767 --> 00:13:52,978 Sorry, US customers, bars. 298 00:13:53,017 --> 00:13:53,117 Yeah. 299 00:13:53,338 --> 00:13:53,638 Matt: Yeah, yeah. 300 00:13:53,668 --> 00:13:53,678 Yeah. 301 00:13:53,678 --> 00:13:54,017 There we go. 302 00:13:54,098 --> 00:13:54,418 Yeah, yeah. 303 00:13:55,098 --> 00:13:55,178 Chris: Um, 304 00:13:55,278 --> 00:13:58,038 Matt: there was a- We should do for pubs what Clarkson did for farming. 305 00:13:58,078 --> 00:14:00,178 Oh, no, wait, he's doing pubs as well now, isn't he? 306 00:14:00,257 --> 00:14:00,877 Jen: Yeah, he is. 307 00:14:01,458 --> 00:14:02,218 Matt: Okay, carry on, Chris. 308 00:14:02,257 --> 00:14:02,418 Sorry. 309 00:14:02,538 --> 00:14:04,017 Chris: Can you explain Clarkson for our listeners? 310 00:14:04,058 --> 00:14:05,007 Matt: Oh, they all know who Clarkson is. 311 00:14:05,007 --> 00:14:05,658 Clarkson's a worldwide phenomenon. 312 00:14:05,698 --> 00:14:05,757 Oh, 313 00:14:05,767 --> 00:14:05,848 Chris: is 314 00:14:05,877 --> 00:14:06,017 Matt: he? 315 00:14:06,168 --> 00:14:06,188 Is he? 316 00:14:06,188 --> 00:14:06,538 Yeah, yeah. 317 00:14:06,568 --> 00:14:07,578 Mm. Clarkson Farms. 318 00:14:07,877 --> 00:14:09,678 Chris: Is, is he our best export? 319 00:14:09,708 --> 00:14:11,367 Matt: I… Best is probably a l- Yeah. 320 00:14:11,458 --> 00:14:11,997 I don't know. 321 00:14:13,598 --> 00:14:13,818 Chris: Yeah. 322 00:14:14,318 --> 00:14:14,757 Anyway. 323 00:14:14,818 --> 00:14:16,158 Sorry, I took us completely off on a tangent. 324 00:14:16,178 --> 00:14:16,377 Yeah, yeah. 325 00:14:16,377 --> 00:14:16,978 But I'll try and bring it back. 326 00:14:17,078 --> 00:14:21,558 So back to Gen Z, there was a 2024 study, and it found that most Gen 327 00:14:21,617 --> 00:14:25,358 Z consumers, they've reduced this alcohol intake in the past six months. 328 00:14:25,877 --> 00:14:27,698 But there is a bit, bit of a change. 329 00:14:27,757 --> 00:14:31,437 So some more recent data has shown some slight re-engagement with alcohol 330 00:14:31,698 --> 00:14:35,078 w- among the Gen Z. Mm. So it's not kind of straight line, that's it. 331 00:14:35,438 --> 00:14:36,777 Uh, there is a bit of a shifting pattern. 332 00:14:36,818 --> 00:14:39,638 But the overall trend is this- Mm … reduced alcohol intake. 333 00:14:39,767 --> 00:14:40,878 Mm. Which is probably not a bad thing. 334 00:14:41,158 --> 00:14:41,398 Jen: No. 335 00:14:41,738 --> 00:14:45,067 But, and across all age groups, I think moderation is increasing, 336 00:14:45,617 --> 00:14:47,638 even if the reasons why differ. 337 00:14:49,902 --> 00:14:55,302 Chris: So the UK guidance recommends no more than 14 units of alcohol 338 00:14:55,322 --> 00:14:58,222 per week spread across several days, and you've also got to 339 00:14:58,262 --> 00:15:00,252 include regular alcohol-free days. 340 00:15:00,922 --> 00:15:04,762 Jen: So to put that into context, that's roughly like six pints or six 341 00:15:04,802 --> 00:15:06,802 medium glasses of wine across the week. 342 00:15:06,882 --> 00:15:10,702 And importantly, there is no completely risk-free level. 343 00:15:10,782 --> 00:15:11,302 It's not. 344 00:15:11,342 --> 00:15:13,482 It's about reducing risk, isn't it? 345 00:15:13,582 --> 00:15:15,962 Not eliminating- Mm … it entirely. 346 00:15:16,062 --> 00:15:16,272 Matt: Yeah. 347 00:15:16,382 --> 00:15:21,302 So the pattern that seems to emerge is pacing, spreading intake, sort 348 00:15:21,322 --> 00:15:25,162 of eating properly, and being aware of personal factors like 349 00:15:25,582 --> 00:15:27,002 medication and mood, for example. 350 00:15:27,702 --> 00:15:29,342 Chris: That's a fair summary, and I think you've definitely taken 351 00:15:29,362 --> 00:15:30,632 my captain sensible hat today- 352 00:15:30,682 --> 00:15:30,962 Matt: I have 353 00:15:30,982 --> 00:15:31,422 … Chris: which is good. 354 00:15:31,482 --> 00:15:32,702 Matt: I, I don't know what's going on, Chris 355 00:15:32,722 --> 00:15:33,302 … Chris: I'll pass the baton. 356 00:15:33,502 --> 00:15:34,662 Jen: Do you like, do you like this role? 357 00:15:34,702 --> 00:15:34,842 Yeah. 358 00:15:34,882 --> 00:15:35,101 Matt: No. 359 00:15:35,982 --> 00:15:37,192 You can have it back for the next one. 360 00:15:38,911 --> 00:15:39,262 Jen: Okay. 361 00:15:39,422 --> 00:15:42,112 So why does alcohol affect people differently? 362 00:15:42,622 --> 00:15:45,872 Chris: It's because it passes through a system that varies 363 00:15:45,902 --> 00:15:47,422 massively between individuals. 364 00:15:47,432 --> 00:15:54,081 So genetics set enzyme speed, uh, body composition sets distribution, age 365 00:15:54,141 --> 00:15:59,972 shifts metabolism, and food, drink type, medications, and mood, they all modify the 366 00:16:00,002 --> 00:16:01,922 response we have to alcohol in real time. 367 00:16:02,442 --> 00:16:06,502 Jen: Which means the same drinks can land completely differently depending 368 00:16:06,582 --> 00:16:10,902 on the person, not because anyone is doing anything wrong, but because 369 00:16:10,962 --> 00:16:12,862 everyone's biology is different. 370 00:16:13,502 --> 00:16:17,582 Matt: Yeah, and it's less about willpower and less about tolerance, 371 00:16:18,262 --> 00:16:21,962 um, but more about individual chemistry doing really what it's built to do. 372 00:16:22,542 --> 00:16:22,702 Chris: Yep. 373 00:16:22,742 --> 00:16:25,622 And once you understand that, a lot of the kind of variation we see 374 00:16:25,722 --> 00:16:28,862 between people, uh, like that you see socially starts to make more sense. 375 00:16:28,882 --> 00:16:28,922 Mm. 376 00:16:29,641 --> 00:16:33,162 Matt: So next time you're out, you're basically watching, uh, 377 00:16:33,582 --> 00:16:38,102 multiple different biological systems sort of reacting in real time. 378 00:16:38,162 --> 00:16:41,762 One big human experiment- … which is actually slightly humbling. 379 00:16:42,141 --> 00:16:42,942 Jen: It is. 380 00:16:44,201 --> 00:16:49,082 And it's a good reminder that normal is a wide range when it comes to biology. 381 00:16:49,822 --> 00:16:52,982 So that's why alcohol affects people differently. 382 00:16:53,502 --> 00:16:54,681 That's it for this week. 383 00:16:54,842 --> 00:16:58,242 Hit subscribe and let us know what we should explore next. 384 00:16:58,641 --> 00:17:00,581 Thanks so much for geeking out with us. 385 00:17:00,641 --> 00:17:02,222 But for now, that's it from me. 386 00:17:02,782 --> 00:17:03,482 Matt: That's it from me. 387 00:17:03,962 --> 00:17:04,641 Chris: And that's it from me. 388 00:17:05,021 --> 00:17:05,541 Jen: Bye for now