All language subtitles for 00 - [English (auto-generated)] Why some people can thrive on less sleep – BBC REEL [DownSub.com]

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These are the user uploaded subtitles that are being translated: 1 00:00:00,190 --> 00:00:01,520 [Music] 2 00:00:01,520 --> 00:00:03,360 how many hours of sleep per night does a 3 00:00:03,360 --> 00:00:06,240 human being need to be healthy 4 00:00:06,240 --> 00:00:08,720 i bet you've answered eight hours but 5 00:00:08,720 --> 00:00:10,800 that's not quite true according to 6 00:00:10,800 --> 00:00:13,679 recent scientific findings 7 00:00:13,679 --> 00:00:16,800 this is misunderstood that's like saying 8 00:00:16,800 --> 00:00:19,039 everybody should be 5 feet 10 inches 9 00:00:19,039 --> 00:00:21,680 tall and if you're shorter than 510 10 00:00:21,680 --> 00:00:23,920 you've got a problem not all of us need 11 00:00:23,920 --> 00:00:25,599 the same amount of sleep to be well 12 00:00:25,599 --> 00:00:28,880 rested and function at a high level 13 00:00:28,880 --> 00:00:30,880 and it's not a matter of behavior or 14 00:00:30,880 --> 00:00:34,399 choice it's in the genes 15 00:00:34,399 --> 00:00:36,719 some people are genetically designed to 16 00:00:36,719 --> 00:00:40,320 be what is called natural short sleepers 17 00:00:40,320 --> 00:00:42,719 this means they only need four to six 18 00:00:42,719 --> 00:00:45,200 hours of sleep per night and still wake 19 00:00:45,200 --> 00:00:47,440 up feeling fresh 20 00:00:47,440 --> 00:00:49,920 others have called these folks elite 21 00:00:49,920 --> 00:00:52,640 sleepers and i think it makes sense 22 00:00:52,640 --> 00:00:54,800 they get by with much less sleep and 23 00:00:54,800 --> 00:00:56,960 still perform at a high level and it is 24 00:00:56,960 --> 00:01:00,239 true that it is a real asset in today's 25 00:01:00,239 --> 00:01:01,110 work world 26 00:01:01,110 --> 00:01:06,750 [Music] 27 00:01:08,640 --> 00:01:12,240 for the past 25 years dr patasek and his 28 00:01:12,240 --> 00:01:14,240 team have been analyzing the sleeping 29 00:01:14,240 --> 00:01:16,880 patterns of over a hundred families in 30 00:01:16,880 --> 00:01:18,960 the beginning all of our work was really 31 00:01:18,960 --> 00:01:21,439 focused on trying to figure out 32 00:01:21,439 --> 00:01:24,320 what the diagnostic criteria should be 33 00:01:24,320 --> 00:01:27,520 to call someone i'm you know a familial 34 00:01:27,520 --> 00:01:29,920 advanced sleep phase person an advanced 35 00:01:29,920 --> 00:01:32,400 sleeping phase person is also known as a 36 00:01:32,400 --> 00:01:33,759 morning lark 37 00:01:33,759 --> 00:01:36,560 someone that goes to bed early and wakes 38 00:01:36,560 --> 00:01:37,680 up early 39 00:01:37,680 --> 00:01:39,280 some people came to our attention who 40 00:01:39,280 --> 00:01:41,520 were extreme morning larks but who 41 00:01:41,520 --> 00:01:45,040 stayed up too late to meet our criteria 42 00:01:45,040 --> 00:01:47,600 it became clear to us then that 43 00:01:47,600 --> 00:01:48,720 there were 44 00:01:48,720 --> 00:01:51,280 families that were morning larks yes but 45 00:01:51,280 --> 00:01:53,040 they were also night owls and that's 46 00:01:53,040 --> 00:01:56,079 when we had this idea that perhaps 47 00:01:56,079 --> 00:01:58,560 these families have something different 48 00:01:58,560 --> 00:02:00,719 and that is natural short sleep that 49 00:02:00,719 --> 00:02:02,799 allows them to wake up early and to stay 50 00:02:02,799 --> 00:02:04,000 up 51 00:02:04,000 --> 00:02:06,320 so far four genes related to natural 52 00:02:06,320 --> 00:02:08,399 short sleep were identified 53 00:02:08,399 --> 00:02:10,399 but it's likely to be more 54 00:02:10,399 --> 00:02:13,200 the challenge is these genes are quite 55 00:02:13,200 --> 00:02:14,400 rare 56 00:02:14,400 --> 00:02:16,959 dr petarsek estimates that only one 57 00:02:16,959 --> 00:02:20,400 person in a thousand is an elite sleeper 58 00:02:20,400 --> 00:02:22,959 the good news is that they might unlock 59 00:02:22,959 --> 00:02:25,200 the secrets and sleep efficiency for all 60 00:02:25,200 --> 00:02:27,040 of us 61 00:02:27,040 --> 00:02:29,040 we have a very strong impression that 62 00:02:29,040 --> 00:02:30,959 these folks are 63 00:02:30,959 --> 00:02:32,800 healthier than average 64 00:02:32,800 --> 00:02:33,760 we have 65 00:02:33,760 --> 00:02:36,000 measured using questionnaires measured 66 00:02:36,000 --> 00:02:38,480 people's resilience and natural short 67 00:02:38,480 --> 00:02:42,000 sleepers score much higher on resilience 68 00:02:42,000 --> 00:02:44,720 scales than non-short sleepers these 69 00:02:44,720 --> 00:02:46,319 people are sleeping 70 00:02:46,319 --> 00:02:48,160 so much less and they're still doing 71 00:02:48,160 --> 00:02:50,239 well that maybe they're sleeping more 72 00:02:50,239 --> 00:02:52,080 efficiently 73 00:02:52,080 --> 00:02:53,840 and then the question is what does that 74 00:02:53,840 --> 00:02:55,120 mean 75 00:02:55,120 --> 00:02:56,959 we might be getting closer to this 76 00:02:56,959 --> 00:02:58,080 answer 77 00:02:58,080 --> 00:03:00,560 in a new study natural short sleep genes 78 00:03:00,560 --> 00:03:02,840 were introduced in mice with alzheimer's 79 00:03:02,840 --> 00:03:05,360 disease and the animals became more 80 00:03:05,360 --> 00:03:06,640 resilient 81 00:03:06,640 --> 00:03:08,640 this is very exciting because it 82 00:03:08,640 --> 00:03:11,760 suggests that we might be able to target 83 00:03:11,760 --> 00:03:12,800 that 84 00:03:12,800 --> 00:03:14,480 biology 85 00:03:14,480 --> 00:03:17,599 for therapeutic use not just with regard 86 00:03:17,599 --> 00:03:19,680 to neurodegenerative diseases but 87 00:03:19,680 --> 00:03:22,959 psychiatric diseases diabetes obesity 88 00:03:22,959 --> 00:03:26,080 many cancers 89 00:03:27,040 --> 00:03:29,760 i view this as a large jigsaw puzzle 90 00:03:29,760 --> 00:03:31,840 there's a picture of sleep in a jigsaw 91 00:03:31,840 --> 00:03:33,040 puzzle but we don't know what the 92 00:03:33,040 --> 00:03:35,519 picture is so what we've got is these 93 00:03:35,519 --> 00:03:37,920 families and in every family where we 94 00:03:37,920 --> 00:03:39,760 can identify a gene 95 00:03:39,760 --> 00:03:41,920 and a genetic variant and show that it 96 00:03:41,920 --> 00:03:44,799 is actually causing that trait we're 97 00:03:44,799 --> 00:03:47,599 still very much in a discovery process 98 00:03:47,599 --> 00:03:49,840 trying to find as many pieces to the 99 00:03:49,840 --> 00:03:51,599 puzzle as we can 100 00:03:51,599 --> 00:03:53,519 for something that most of us spend a 101 00:03:53,519 --> 00:03:56,159 third of our lives doing there's still a 102 00:03:56,159 --> 00:03:59,040 lot to understand about sleep 103 00:03:59,040 --> 00:04:00,400 something is happening when we're 104 00:04:00,400 --> 00:04:03,439 sleeping that allow us to 105 00:04:03,439 --> 00:04:06,400 restore our functions to wake up the 106 00:04:06,400 --> 00:04:08,319 next day and perform 107 00:04:08,319 --> 00:04:11,760 well if we could do that better by 108 00:04:11,760 --> 00:04:13,200 understanding 109 00:04:13,200 --> 00:04:14,480 how sleep 110 00:04:14,480 --> 00:04:16,720 efficiency is regulated and we think 111 00:04:16,720 --> 00:04:18,798 this could have a huge impact 112 00:04:18,798 --> 00:04:22,359 on human health 113 00:04:23,870 --> 00:04:28,160 [Music] 114 00:04:38,240 --> 00:04:40,320 you 7370

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