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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:00,000 --> 00:00:00,000 SG: I’m still alive, it wasn’t all that bad, I s’pose. 2 00:00:00,000 --> 00:00:00,000 0.54 3 00:00:00,000 --> 00:00:00,000 VO SG: I listened to experts talk about the impact junk food has had on our community and how junk food can affect the brain and I went to Middlemore Hospital to meet patients who were suffering the cruel complications of diabetes. 4 00:00:00,000 --> 00:00:00,000 1.08 5 00:00:00,000 --> 00:00:00,000 HH: It can be a hard journey trying to wrap your head around other mental things that go on and the changes in the body. 6 00:00:00,000 --> 00:00:00,000 1.17 7 00:00:00,000 --> 00:00:00,000 VO SG: All done to answer the question – why are we fat? 8 00:00:00,000 --> 00:00:00,000 1.30 9 00:00:00,000 --> 00:00:00,000 VO SG: The Auckland night markets are where people of all ages come to get a bite to eat. 10 00:00:00,000 --> 00:00:00,000 As this is my first time here, I’m keen to see what’s on offer and why this place is so popular with all the people that come here. 11 00:00:00,000 --> 00:00:00,000 1.43 12 00:00:00,000 --> 00:00:00,000 SG: How are you guys going? 13 00:00:00,000 --> 00:00:00,000 1.45 14 00:00:00,000 --> 00:00:00,000 Woman: Bugger! 15 00:00:00,000 --> 00:00:00,000 1.46 16 00:00:00,000 --> 00:00:00,000 SG: What have you got? 17 00:00:00,000 --> 00:00:00,000 1.47 18 00:00:00,000 --> 00:00:00,000 Woman: Alirghty. 19 00:00:00,000 --> 00:00:00,000 There you go. 20 00:00:00,000 --> 00:00:00,000 1.49 21 00:00:00,000 --> 00:00:00,000 SG: Alright. 22 00:00:00,000 --> 00:00:00,000 Is that good? 23 00:00:00,000 --> 00:00:00,000 1.51 24 00:00:00,000 --> 00:00:00,000 Child: Spongy. 25 00:00:00,000 --> 00:00:00,000 1.52 26 00:00:00,000 --> 00:00:00,000 SG: Spongy. 27 00:00:00,000 --> 00:00:00,000 You guys come here much? 28 00:00:00,000 --> 00:00:00,000 1.54 29 00:00:00,000 --> 00:00:00,000 Woman: Yeah, course. 30 00:00:00,000 --> 00:00:00,000 1.55 31 00:00:00,000 --> 00:00:00,000 SG: Every week? 32 00:00:00,000 --> 00:00:00,000 1.56 33 00:00:00,000 --> 00:00:00,000 Woman: Oh, not every week no. 34 00:00:00,000 --> 00:00:00,000 1.57 35 00:00:00,000 --> 00:00:00,000 SG: Most weeks? 36 00:00:00,000 --> 00:00:00,000 1.58 37 00:00:00,000 --> 00:00:00,000 Woman: Yeah. 38 00:00:00,000 --> 00:00:00,000 1.58 39 00:00:00,000 --> 00:00:00,000 SG: How come you come here? 40 00:00:00,000 --> 00:00:00,000 1.59 41 00:00:00,000 --> 00:00:00,000 Woman: Cos the food’s good. 42 00:00:00,000 --> 00:00:00,000 2.00 43 00:00:00,000 --> 00:00:00,000 SG: Food’s good? 44 00:00:00,000 --> 00:00:00,000 2.00 45 00:00:00,000 --> 00:00:00,000 Woman: Yeah. 46 00:00:00,000 --> 00:00:00,000 2.01 47 00:00:00,000 --> 00:00:00,000 SG: What have you had tonight? 48 00:00:00,000 --> 00:00:00,000 2.02 49 00:00:00,000 --> 00:00:00,000 Woman: I had dumplings. 50 00:00:00,000 --> 00:00:00,000 2.03 51 00:00:00,000 --> 00:00:00,000 SG: What have you guys had tonight? 52 00:00:00,000 --> 00:00:00,000 2.04 53 00:00:00,000 --> 00:00:00,000 Man: Butter chicken [indistinct 2.05]. 54 00:00:00,000 --> 00:00:00,000 2.05 55 00:00:00,000 --> 00:00:00,000 SG: Butter chicken’s good? 56 00:00:00,000 --> 00:00:00,000 2.07 57 00:00:00,000 --> 00:00:00,000 Woman: I like the chicken kebabs over there – the chicken on the skewer and the [indistinct 2.10]. 58 00:00:00,000 --> 00:00:00,000 2.11 59 00:00:00,000 --> 00:00:00,000 SG: Yeah. 60 00:00:00,000 --> 00:00:00,000 2.11 61 00:00:00,000 --> 00:00:00,000 Woman: Those are good. 62 00:00:00,000 --> 00:00:00,000 2.12 63 00:00:00,000 --> 00:00:00,000 Man: There’s teriyaki chicken on the other side [indistinct 2.11]. 64 00:00:00,000 --> 00:00:00,000 2.14 65 00:00:00,000 --> 00:00:00,000 SG: Good? 66 00:00:00,000 --> 00:00:00,000 2.14 67 00:00:00,000 --> 00:00:00,000 Man: Oh, mate. 68 00:00:00,000 --> 00:00:00,000 2.15 69 00:00:00,000 --> 00:00:00,000 SG: Healthy? 70 00:00:00,000 --> 00:00:00,000 2.16 71 00:00:00,000 --> 00:00:00,000 Man: [indistinct 2.16]! 72 00:00:00,000 --> 00:00:00,000 2.20 73 00:00:00,000 --> 00:00:00,000 SG: Is there any healthy food here? 74 00:00:00,000 --> 00:00:00,000 2.21 75 00:00:00,000 --> 00:00:00,000 Woman: No. 76 00:00:00,000 --> 00:00:00,000 2.21 77 00:00:00,000 --> 00:00:00,000 Man: Tasty. 78 00:00:00,000 --> 00:00:00,000 2.22 79 00:00:00,000 --> 00:00:00,000 SG: Cheap place to eat? 80 00:00:00,000 --> 00:00:00,000 2.23 81 00:00:00,000 --> 00:00:00,000 Man: Cheap as. 82 00:00:00,000 --> 00:00:00,000 2.24 83 00:00:00,000 --> 00:00:00,000 SG: Is there anything healthy? 84 00:00:00,000 --> 00:00:00,000 2.26 85 00:00:00,000 --> 00:00:00,000 Woman: Only 
 I dunno. 86 00:00:00,000 --> 00:00:00,000 All the [indistinct 2.29]! 87 00:00:00,000 --> 00:00:00,000 2.31 88 00:00:00,000 --> 00:00:00,000 VO SG: So people know the food’s not healthy but they buy it because it’s tasty and it’s really cheap. 89 00:00:00,000 --> 00:00:00,000 2.39 90 00:00:00,000 --> 00:00:00,000 SG: So what are you gonna order here? You got sausages 
 91 00:00:00,000 --> 00:00:00,000 2.41 92 00:00:00,000 --> 00:00:00,000 Man: I’m gonna get a massive as thing – BBQ meal. 93 00:00:00,000 --> 00:00:00,000 2.42 94 00:00:00,000 --> 00:00:00,000 SG: BBQ meal, so you get a sausage, lamb chop, pork chop, chop suey, coleslaw 
 95 00:00:00,000 --> 00:00:00,000 2.46 96 00:00:00,000 --> 00:00:00,000 Man: Potato salad. 97 00:00:00,000 --> 00:00:00,000 2.47 98 00:00:00,000 --> 00:00:00,000 SG: And potato salad for $10.00. 99 00:00:00,000 --> 00:00:00,000 2.48 100 00:00:00,000 --> 00:00:00,000 Man: Mm. 101 00:00:00,000 --> 00:00:00,000 Good value. 102 00:00:00,000 --> 00:00:00,000 2.50 103 00:00:00,000 --> 00:00:00,000 SG: Good value. 104 00:00:00,000 --> 00:00:00,000 2.51 105 00:00:00,000 --> 00:00:00,000 Man: I’m all about value. 106 00:00:00,000 --> 00:00:00,000 2.53 107 00:00:00,000 --> 00:00:00,000 SG: So you think it’s healthy? 108 00:00:00,000 --> 00:00:00,000 2.55 109 00:00:00,000 --> 00:00:00,000 Man: Maybe if I eat half of it. 110 00:00:00,000 --> 00:00:00,000 2.57 111 00:00:00,000 --> 00:00:00,000 SG: Half of it? Would you polish the whole thing off? 112 00:00:00,000 --> 00:00:00,000 3.00 113 00:00:00,000 --> 00:00:00,000 Man: I could usually but I’m not, I already had some of these. 114 00:00:00,000 --> 00:00:00,000 3.04 115 00:00:00,000 --> 00:00:00,000 SG: Oh, okay. 116 00:00:00,000 --> 00:00:00,000 3.05 117 00:00:00,000 --> 00:00:00,000 Man: I do have to be careful cos my Dad’s got early onset diabetes. 118 00:00:00,000 --> 00:00:00,000 3.10 119 00:00:00,000 --> 00:00:00,000 SG: Man, this is not being careful. 120 00:00:00,000 --> 00:00:00,000 3.12 121 00:00:00,000 --> 00:00:00,000 Man: Yeah, I don’t eat this every day. 122 00:00:00,000 --> 00:00:00,000 3.15 123 00:00:00,000 --> 00:00:00,000 SG: Every second day? 124 00:00:00,000 --> 00:00:00,000 3.16 125 00:00:00,000 --> 00:00:00,000 Man: No. 126 00:00:00,000 --> 00:00:00,000 3.19 127 00:00:00,000 --> 00:00:00,000 SG: Wow, awesome. 128 00:00:00,000 --> 00:00:00,000 3.20 129 00:00:00,000 --> 00:00:00,000 Man: Sure you don’t want anything? 130 00:00:00,000 --> 00:00:00,000 3.21 131 00:00:00,000 --> 00:00:00,000 SG: No, I’m all good, thanks. 132 00:00:00,000 --> 00:00:00,000 I reckon you’ll have half of that left over that I can share with you! Walking around here I can see everybody’s thoroughly enjoying the food but as a diabetic it’s a complete disaster area for me. 133 00:00:00,000 --> 00:00:00,000 Most of the foot is cooked in refined oil. 134 00:00:00,000 --> 00:00:00,000 Most of the food is refined, starches and grains. 135 00:00:00,000 --> 00:00:00,000 All the meat is totally processed by added sugar, then they’re squirting sugar all over the top of it – it’s all bad news for me. 136 00:00:00,000 --> 00:00:00,000 So the moral of the story is if you get fat you could end up as a diabetic and you can’t treat yourself anymore. 137 00:00:00,000 --> 00:00:00,000 I’m going home for a boiled egg. 138 00:00:00,000 --> 00:00:00,000 Or maybe I’ll cheat. 139 00:00:00,000 --> 00:00:00,000 4.10 140 00:00:00,000 --> 00:00:00,000 VO SG: I’ve come to the Auckland University medical school to speak with Dr Rinki Murphy, an expert in obesity and type-2 diabetes. 141 00:00:00,000 --> 00:00:00,000 4.18 142 00:00:00,000 --> 00:00:00,000 RM: Two hundred and sixty thousand people in New Zealand have diabetes, the majority of those is type 2 diabetes and it costs about a billion dollars a year. 143 00:00:00,000 --> 00:00:00,000 4.28 144 00:00:00,000 --> 00:00:00,000 VO SG: Many different from different backgrounds have developed type 2 diabetes but just because you’re overweight doesn’t mean you’re guaranteed to get it. 145 00:00:00,000 --> 00:00:00,000 4.36 146 00:00:00,000 --> 00:00:00,000 RM: Some people deposit excess body weight into their organs at different levels than other people so individuals have a different personal body fat threshold. 147 00:00:00,000 --> 00:00:00,000 The point at which it tips into more dangerous areas that are in the liver and the pancreas and the heart and a marker of those is in the belly. 148 00:00:00,000 --> 00:00:00,000 So people who have increased waist circumference tend to have increased deposition of fat in the liver and the pancreas. 149 00:00:00,000 --> 00:00:00,000 5.07 150 00:00:00,000 --> 00:00:00,000 VO SG: The MRI scan showed that 10% of my pancreas and 33% of my liver was fat. 151 00:00:00,000 --> 00:00:00,000 Rinki shows me what my fatty liver might look like. 152 00:00:00,000 --> 00:00:00,000 5.16 153 00:00:00,000 --> 00:00:00,000 RM: A slice through someone’s liver who I would expect had some excess fat in their liver. 154 00:00:00,000 --> 00:00:00,000 5.24 155 00:00:00,000 --> 00:00:00,000 VO SG: Oh, my God, that’s my liver. 156 00:00:00,000 --> 00:00:00,000 Check it out, it looks like fois gras. 157 00:00:00,000 --> 00:00:00,000 I asked Rinki if losing weight would help. 158 00:00:00,000 --> 00:00:00,000 RM: There have been studies overseas that indicate around 10 to 15 kilos is required to reverse fat that’s led to type 2 diabetes so we say about 10 to 15 kilos. 159 00:00:00,000 --> 00:00:00,000 Individuals may have a different response depending on their ethnicity and the tempo and trajectory of their weight gain during the period that someone’s developed type 2 diabetes. 160 00:00:00,000 --> 00:00:00,000 5.58 161 00:00:00,000 --> 00:00:00,000 SG: Ten to 15 kilos. 162 00:00:00,000 --> 00:00:00,000 5.59 163 00:00:00,000 --> 00:00:00,000 RM: One thing I find useful is to ask people to cast their minds back when they were last well and without diabetes and that weight gives some idea as to what would be an initial target and going beyond that is obviously even better. 164 00:00:00,000 --> 00:00:00,000 6.17 165 00:00:00,000 --> 00:00:00,000 VO SG: Getting your weight down is key to avoiding diabetes or the complications from diabetes. 166 00:00:00,000 --> 00:00:00,000 Dr Rinki’s pep talk inspired me to go extra hard today at the gym but I’ve gotta tell ya, I still hate Luke and the exercise. 167 00:00:00,000 --> 00:00:00,000 6.32 168 00:00:00,000 --> 00:00:00,000 Luke: Strong glute muscles are actually protecting your lower back in this exercise. 169 00:00:00,000 --> 00:00:00,000 That’s really good. 170 00:00:00,000 --> 00:00:00,000 Good. 171 00:00:00,000 --> 00:00:00,000 Keep it going, keep it going. 172 00:00:00,000 --> 00:00:00,000 Lean back, row. 173 00:00:00,000 --> 00:00:00,000 Lean back and row. 174 00:00:00,000 --> 00:00:00,000 There you go – your body’s telling you to stop, your mind’s telling you to stop, just keep going. 175 00:00:00,000 --> 00:00:00,000 Good [indistinct 6.48]. 176 00:00:00,000 --> 00:00:00,000 Bend those, knees reach forward. 177 00:00:00,000 --> 00:00:00,000 Ten seconds, 10 seconds, finish strong. 178 00:00:00,000 --> 00:00:00,000 Three, two and one, nice work. 179 00:00:00,000 --> 00:00:00,000 Big breaths, stay relaxed. 180 00:00:00,000 --> 00:00:00,000 Good, now let’s get the rotation [indistinct 7.08] so we’re out of the way. 181 00:00:00,000 --> 00:00:00,000 Good, come back around and do the same rotations in front. 182 00:00:00,000 --> 00:00:00,000 How you feeling? 183 00:00:00,000 --> 00:00:00,000 7.15 184 00:00:00,000 --> 00:00:00,000 VO SG: What do you think, Sherlock? 185 00:00:00,000 --> 00:00:00,000 7.17 186 00:00:00,000 --> 00:00:00,000 Luke: [indistinct 7.17]? I don’t mind the sweat, I’m a trainer! I don’t mind, you can give me a hug if you want. 187 00:00:00,000 --> 00:00:00,000 There it is! 188 00:00:00,000 --> 00:00:00,000 8.01 189 00:00:00,000 --> 00:00:00,000 VO SG: I got together with my support team and something that two of the experts said really surprised m 190 00:00:00,000 --> 00:00:00,000 8.07 191 00:00:00,000 --> 00:00:00,000 WF: It’s taken me 30 years of working in general practice but I’ve come to the conclusion from just looking at people’s health and wellbeing that sleep quality is almost, if not as important, as diet quality. 192 00:00:00,000 --> 00:00:00,000 You’d have to know how important diet is to understand the magnitude of what I’ve just said. 193 00:00:00,000 --> 00:00:00,000 8.27 194 00:00:00,000 --> 00:00:00,000 MW: Dare I say, William, that as the PhD qualified nutritionist here – I 100% agree with that comment. 195 00:00:00,000 --> 00:00:00,000 8.34 196 00:00:00,000 --> 00:00:00,000 WF: Yeah. 197 00:00:00,000 --> 00:00:00,000 8.35 198 00:00:00,000 --> 00:00:00,000 VO SG: It had never occurred to me that sleep had anything to do with my weight or my diabetes. 199 00:00:00,000 --> 00:00:00,000 To find out more about how and why, I talked to sleep specialist Dr Kirk Parsley. 200 00:00:00,000 --> 00:00:00,000 8.45 201 00:00:00,000 --> 00:00:00,000 SG: How you doing? Nice to meet you, Kirk. 202 00:00:00,000 --> 00:00:00,000 8.48 203 00:00:00,000 --> 00:00:00,000 KP: Nice to meet you, Simon. 204 00:00:00,000 --> 00:00:00,000 I was a former Navy Seal and after going to medical school I came back to the Seals team as their doctor and these Navy Seals that were approximately my age were coming in and discussing with me these problems they were having. 205 00:00:00,000 --> 00:00:00,000 One of the things that they were discussing is that they were tending to hold more body fat than they were used to, their blood work was coming back looking like an 80 year old man, just looking like they were pre-diabetic. 206 00:00:00,000 --> 00:00:00,000 I just thought, well, let me look into sleep and see if it could possibly explain the symptoms they were talking about and then I found dozens and dozens of relationships between how much body fat you have and how well you sleep. 207 00:00:00,000 --> 00:00:00,000 The average sleep in America right now, I believe, is 6.2 hours per night and it was about 6.8 hours per night 10 years ago. 208 00:00:00,000 --> 00:00:00,000 Every decade you go back there’s about a 10% decrease in sleep all the way back to the early 1900s. 209 00:00:00,000 --> 00:00:00,000 9.49 210 00:00:00,000 --> 00:00:00,000 KP: We can all survive on a short sleep but when you talk about actually thriving and performing at your best, to date, I don’t think that there’s been anybody who’s been well documented to thrive on less than what we suggest is about 7 and a half hours sleep for an adults. 211 00:00:00,000 --> 00:00:00,000 10.06 212 00:00:00,000 --> 00:00:00,000 VO SG: Which is bad news for me – living the life of a busy chef means I’d be up late working all hours of the night. 213 00:00:00,000 --> 00:00:00,000 So how does less sleep affect us all? 214 00:00:00,000 --> 00:00:00,000 10.18 215 00:00:00,000 --> 00:00:00,000 KP: Sleep contributes to obesity and diabetes in many ways. 216 00:00:00,000 --> 00:00:00,000 It’s primarily through hormones, getting less sleep than you need will affect your Insulin sensitivity in a negative way, much like a diabetic or somebody who’s maybe pre-diabetic and that affects how you store the food you eat. 217 00:00:00,000 --> 00:00:00,000 Then sleep also affects your overall appetite through a couple of other hormones. 218 00:00:00,000 --> 00:00:00,000 Just sleeping one hour less than you need to sleep on average, over the course of the year you’ll put on 14.3 pounds of body fat. 219 00:00:00,000 --> 00:00:00,000 10.49 220 00:00:00,000 --> 00:00:00,000 VO SG: As if lack of sleep isn’t bad enough for your weight, Kirk went on to explain that lack of sleep affects a whole lot more. 221 00:00:00,000 --> 00:00:00,000 10.56 222 00:00:00,000 --> 00:00:00,000 KP: We know that decreasing your sleep increase your risk for all disease – it increases your risk for heart attack, it increases your risk for stroke, it increases the risk for all auto-immune diseases, diabetes, obesity. 223 00:00:00,000 --> 00:00:00,000 It affects your relationships, your risk for suicide risk is greatly enhanced, mood disorders – just about everything. 224 00:00:00,000 --> 00:00:00,000 11.17 225 00:00:00,000 --> 00:00:00,000 VO SG: I asked Kirk to give me some tips for a good night’s sleep. 226 00:00:00,000 --> 00:00:00,000 11.20 227 00:00:00,000 --> 00:00:00,000 KP: The first thing you’ll notice in a modern bedroom is I don’t have any big television there up on my wall which a lot of people tend to have. 228 00:00:00,000 --> 00:00:00,000 I always tell people that your bed is for sleep and sex only. 229 00:00:00,000 --> 00:00:00,000 The other thing you wanna do is make sure, of course, that you have a good quality mattress. 230 00:00:00,000 --> 00:00:00,000 If you’re feeling bed springs and things like that then you’re just gonna be tossing and turning a lot more, you’re gonna be moving, you’re just not gonna get the deepest levels of sleep. 231 00:00:00,000 --> 00:00:00,000 Then you have to have an adequate bed size so if you’re sleeping with somebody else, there has to be enough bed for you both to move around, to get pressure away and to also find cool spots on the bed. 232 00:00:00,000 --> 00:00:00,000 Then we have these black out curtains which is key, no light comes through these whatsoever, goes all the way from your ceiling all the way down to the floor. 233 00:00:00,000 --> 00:00:00,000 This bedroom is so dark at night that you can’t see your hand in front of your face, you keep it nice and cool, keep it nice and comfortable, get rid of the electronics and you’re half way there. 234 00:00:00,000 --> 00:00:00,000 12.21 235 00:00:00,000 --> 00:00:00,000 SG: I thought you said you weren’t allowed any reading but you’ve got reading glasses right by the bed. 236 00:00:00,000 --> 00:00:00,000 12.24 237 00:00:00,000 --> 00:00:00,000 KP: These are actually not reading glasses, what these are is a way to block the blue light. 238 00:00:00,000 --> 00:00:00,000 These are actually shooting glasses but what they’re doing is they’re blocking blue light so once the sun goes down, my wife and I both have these glasses and it’s keeping the blue light out of my eyes and it’s not messing with my circadian rhythm with my body’s ability to entrain with the sunlight. 239 00:00:00,000 --> 00:00:00,000 12.46 240 00:00:00,000 --> 00:00:00,000 VO SG: I was surprised by the difference sleep can make but I was equally shocked to learn that other species might be making me fat. 241 00:00:00,000 --> 00:00:00,000 12.54 242 00:00:00,000 --> 00:00:00,000 ES: There are trillions of bacteria, about 10 times more bacteria in our gut than human cells that we have so in a way we’re actually more microbial than we are human. 243 00:00:00,000 --> 00:00:00,000 These microbes that are living inside of us are controlling so many aspects of our health, they’re helping regulate our metabolism, helping regulate our immune system. 244 00:00:00,000 --> 00:00:00,000 There’s even a connection between the microbes in our gut and our brain so they’re potentially regulating aspects of our mood. 245 00:00:00,000 --> 00:00:00,000 13.23 246 00:00:00,000 --> 00:00:00,000 JS: The gut microbiome not only helps with digestion and intestinal health but it’s involved in regulating our metabolism, it actually changes the set point in our immune system. 247 00:00:00,000 --> 00:00:00,000 There’s really a huge complement of our biology that’s directly impacted by the gut microbiome. 248 00:00:00,000 --> 00:00:00,000 13.41 249 00:00:00,000 --> 00:00:00,000 VO SG: So the microbiome affects lots of things about my health but is it making me fat? 250 00:00:00,000 --> 00:00:00,000 13.47 251 00:00:00,000 --> 00:00:00,000 JS: We’ve known for some time that obese individuals have a somewhat different microbiome than lean individuals and a major question has been is that microbiome that’s different in the obese individuals actually contributing to or causing the obesity. 252 00:00:00,000 --> 00:00:00,000 So researchers did a very clever experiment where they took that obese microbiome and they put it into healthy, normal mice and they compared what happened to those mice in terms of weight gain to other mice that just received a lean microbiome and what they saw was the mice that received the obese microbiome gained weight more rapidly. 253 00:00:00,000 --> 00:00:00,000 It was a very vivid demonstration that the gut microbiome can actually cause obesity. 254 00:00:00,000 --> 00:00:00,000 14.29 255 00:00:00,000 --> 00:00:00,000 WC: If you reverse that and put the bacteria from a skinny mouse in a fat mouse, it can lose a third of its body weight, that’s pretty dramatic. 256 00:00:00,000 --> 00:00:00,000 14.36 257 00:00:00,000 --> 00:00:00,000 VO SG: Dramatic sounds good but I’m a chef, not a mouse. 258 00:00:00,000 --> 00:00:00,000 14.40 259 00:00:00,000 --> 00:00:00,000 WC: The question is for humans – will we behave like mice? Can we change a human’s gut bacteria and will that change their risk of obesity and diabetes and the answer right now is we don’t know but if it did it could be dramatic, it could be a game changer. 260 00:00:00,000 --> 00:00:00,000 15.02 261 00:00:00,000 --> 00:00:00,000 VO SG: Okay but what can we do right now? 262 00:00:00,000 --> 00:00:00,000 15.04 263 00:00:00,000 --> 00:00:00,000 FJ: What it comes down to in the end is pretty simple and that is looking at the nutrition guidelines and following them. 264 00:00:00,000 --> 00:00:00,000 If you’re eating your vegetables and fruits and whole grains and legumes and nuts and seeds which are all part of the national dietary guidelines in most countries then you’ll be doing your gut a favour. 265 00:00:00,000 --> 00:00:00,000 16.02 266 00:00:00,000 --> 00:00:00,000 VO SG: On my journey I’ve heard what’s causing the obesity epidemic but how do we fix it? Is there something that will solve this problem? 267 00:00:00,000 --> 00:00:00,000 16.11 268 00:00:00,000 --> 00:00:00,000 WC: We’ve been in pursuit of the holy grail which is the quick fix, give me the pill – I eat badly I don’t exercise, I’m gonna get obese, I’m gonna get diabetes – give me the pill so I can still live badly – live fast, live badly – but it fixes my problems, it fixes obesity, it fixes diabetes. 269 00:00:00,000 --> 00:00:00,000 We’ve gotta stop thinking about the pill, we’ve gotta look at our lifestyles and we’ve gotta think about making some hard choices. 270 00:00:00,000 --> 00:00:00,000 16.36 271 00:00:00,000 --> 00:00:00,000 NM: We’ve gotta steer away from the recent trend of the last 50, 60 years of dominating our diet with processed foods that have a physical chemical form that doesn’t suit us. 272 00:00:00,000 --> 00:00:00,000 16.49 273 00:00:00,000 --> 00:00:00,000 GS: It’s a simple philosophy, it’s like is this stuff coming out of a packet? I need a food label to understand what’s in it? Yes, okay, that’s not food so don’t eat that. 274 00:00:00,000 --> 00:00:00,000 We’ve ended up with these star ratings and colour codes and traffic lights for what we should and shouldn’t eat – the mere fact that we need those for packaged food should tell you to step away from the packet. 275 00:00:00,000 --> 00:00:00,000 17.12 276 00:00:00,000 --> 00:00:00,000 VO SG: Ditching the processed food is a good idea but there’s so much food available, it’s hard to know what’s healthy and what isn’t. 277 00:00:00,000 --> 00:00:00,000 Is dieting the answer? 278 00:00:00,000 --> 00:00:00,000 17.21 279 00:00:00,000 --> 00:00:00,000 NM: Going on a diet will make you gradually lose weight but at some point your survival mechanism in your brain is gonna kick in and it’s gonna think we’re now starving and if there’s any food about we’d better eat it pronto because we’re going to starve to death. 280 00:00:00,000 --> 00:00:00,000 That’s the inbuilt subconscious mechanism that’s going on and what tends to happen with dieters and we know the term yo yo dieting – when they go back on eating or splurging out on foods and eating the way their brain is telling them to eat, they’re going to put on weight very quickly. 281 00:00:00,000 --> 00:00:00,000 17.56 282 00:00:00,000 --> 00:00:00,000 VO SG: There are other factors that cause dieting to fail like stress. 283 00:00:00,000 --> 00:00:00,000 18.01 284 00:00:00,000 --> 00:00:00,000 SJG: Some people when they’re stressed will overeat. 285 00:00:00,000 --> 00:00:00,000 Other people will actually eat less when they’re stressed but one interesting thing is that almost everyone will change the types of foods that they select when they’re stressed. 286 00:00:00,000 --> 00:00:00,000 Almost everyone will go and shift toward more calorie dense, so called comfort foods, when they’re stressed and those tend to be fattening, unhealthy foods. 287 00:00:00,000 --> 00:00:00,000 18.23 288 00:00:00,000 --> 00:00:00,000 LF: A lot of people eat use eating as a stress reduction technique so if you can’t learn a different and more effective or hopefully more better mechanism for dealing with stress then you’re gonna have a very hard time following any diet for any period of time. 289 00:00:00,000 --> 00:00:00,000 18.44 290 00:00:00,000 --> 00:00:00,000 VO SG: But if you’re overweight and want a lifestyle change which of the diets out there is the best one to take up? 291 00:00:00,000 --> 00:00:00,000 18.51 292 00:00:00,000 --> 00:00:00,000 RM: One of the most interesting studies on this was the Mediterranean diet in a predimed study where about 400 people were randomised to the usual American guideline diet versus a olive oil supplemented group or a nut supplemented group which were both called the Mediterranean diet. 293 00:00:00,000 --> 00:00:00,000 What the study showed that people in those nut supplemented group and the olive oil group actually got diabetes at half the rate at what the people on the traditional American recommendation diet got. 294 00:00:00,000 --> 00:00:00,000 So it suggests to me that a Mediterranean diet may have particular benefits for promoting less fat spilling over into the pancreas and the liver and protecting against type 2 diabetes. 295 00:00:00,000 --> 00:00:00,000 19.40 296 00:00:00,000 --> 00:00:00,000 VO SG: Our modern western diet is also out of touch with out gut bacteria. 297 00:00:00,000 --> 00:00:00,000 19.45 298 00:00:00,000 --> 00:00:00,000 JS: If you look at these hunter gatherer populations that have no western disease, no obesity and you look at what they eat, its primarily plants in large quantities. 299 00:00:00,000 --> 00:00:00,000 They eat 150 grams of dietary fibre per day, we eat 15 grams of dietary fibre per day – a 10 fold decrease in the food that feeds our gut microbiota. 300 00:00:00,000 --> 00:00:00,000 We’re actually starving our microbial selves to some degree because we’re not eating the dietary fibre that the microbes in our gut rely upon. 301 00:00:00,000 --> 00:00:00,000 20.18 302 00:00:00,000 --> 00:00:00,000 VO SG: So a healthy diet starts with plenty of plant foods which have less calories, are filling and have added benefits. 303 00:00:00,000 --> 00:00:00,000 20.26 304 00:00:00,000 --> 00:00:00,000 FJ: Plant foods are high in fibre, they’re high in antioxidants and vitamins and minerals so this is your vegetables of all different colours. 305 00:00:00,000 --> 00:00:00,000 It’s your legumes so your chickpeas and your lentils and your beans and your nuts and your seeds, your whole grains, quinoa – those sorts of foods. 306 00:00:00,000 --> 00:00:00,000 The foods that we know are good for us. 307 00:00:00,000 --> 00:00:00,000 20.51 308 00:00:00,000 --> 00:00:00,000 VO SG: We also need protein which is missing in starchy, processed food and is helpful as it reduces hunger. 309 00:00:00,000 --> 00:00:00,000 20.58 310 00:00:00,000 --> 00:00:00,000 SJG: Protein, as you’re losing weight, can make your brain think that you’re not starving. 311 00:00:00,000 --> 00:00:00,000 Normally your brain would think you’re starving as you’re losing weight – you’d get hungry, the way your body burns calories would start to diminish but if you eat a high protein diet it can attenuate those things so you feel more comfortable, you’re maintaining more lean mass and you’re maintaining your calorie expenditure as you’re losing weight. 312 00:00:00,000 --> 00:00:00,000 21.27 313 00:00:00,000 --> 00:00:00,000 VO SG: I’ve been watching what I eat and exercising but what makes the biggest difference? 314 00:00:00,000 --> 00:00:00,000 21.25 315 00:00:00,000 --> 00:00:00,000 NH: Last one. 316 00:00:00,000 --> 00:00:00,000 21.31 317 00:00:00,000 --> 00:00:00,000 SG: It’s hard, there’s a bit of weight to lift up. 318 00:00:00,000 --> 00:00:00,000 21.34 319 00:00:00,000 --> 00:00:00,000 NH: Nutrition is the most fundamental thing but I don’t see it as a pie graph where you’ve got one percentage on one side and one percentage on the other. 320 00:00:00,000 --> 00:00:00,000 I see it as what you’d call a Venn diagram where they very much overlap and are complementary so if you’re exercising in the right way and you’ve got your nutrition pretty well sorted, those 2 things together are incredibly powerful and a lot more powerful than simply doing one or the other. 321 00:00:00,000 --> 00:00:00,000 21.58 322 00:00:00,000 --> 00:00:00,000 GS: This only happens once a week but the everyday reality for people is that they’re bombarded with unhealthy options. 323 00:00:00,000 --> 00:00:00,000 22.05 324 00:00:00,000 --> 00:00:00,000 VO SG: But we live in a world where we’re constantly presented with tempting, sugary, processed food. 325 00:00:00,000 --> 00:00:00,000 22.13 326 00:00:00,000 --> 00:00:00,000 NM: There are a few things we could be doing, a number of them our Government authorities are trying to do already to various extents. 327 00:00:00,000 --> 00:00:00,000 We’re trying to educate people, that’s the first thing. 328 00:00:00,000 --> 00:00:00,000 Educate people what are the right foods to eat and what aren’t. 329 00:00:00,000 --> 00:00:00,000 22.26 330 00:00:00,000 --> 00:00:00,000 SG: What have you guys got? 331 00:00:00,000 --> 00:00:00,000 22.29 332 00:00:00,000 --> 00:00:00,000 Child: We’ve got a snowman and Coke. 333 00:00:00,000 --> 00:00:00,000 22.32 334 00:00:00,000 --> 00:00:00,000 SG: And Coke. 335 00:00:00,000 --> 00:00:00,000 22.33 336 00:00:00,000 --> 00:00:00,000 Child: Yeah. 337 00:00:00,000 --> 00:00:00,000 22.34 338 00:00:00,000 --> 00:00:00,000 VO SG: Education is one way forward but not everyone agrees it will work. 339 00:00:00,000 --> 00:00:00,000 22.35 340 00:00:00,000 --> 00:00:00,000 SG: Sugar’s bad. 341 00:00:00,000 --> 00:00:00,000 22.39 342 00:00:00,000 --> 00:00:00,000 Child: Sugar’s good. 343 00:00:00,000 --> 00:00:00,000 22.40 344 00:00:00,000 --> 00:00:00,000 WW: If you educate people mostly the message only goes to the people that are already fairly healthy so we find it just increases the gap so that the people who are already healthy, they get healthier because they want to be healthy and they’re interested in their education. 345 00:00:00,000 --> 00:00:00,000 Then the people who are not so interested, they are not yet changing their behaviour because of the education. 346 00:00:00,000 --> 00:00:00,000 23.02 347 00:00:00,000 --> 00:00:00,000 VO SG: Dr Wilma Waterlander wanted to test the effect of price on people’s food buying decisions. 348 00:00:00,000 --> 00:00:00,000 She set up an experiment in a computerised virtual supermarket and sent people grocery shopping. 349 00:00:00,000 --> 00:00:00,000 23.15 350 00:00:00,000 --> 00:00:00,000 WW: The virtual supermarket really looks like a real supermarket so it’s three dimensional and people can shop with their trolley, they go around the shelves and click products with their mouse. 351 00:00:00,000 --> 00:00:00,000 We ask people to do a shop as they would do normally for their households but what we can do in the backend is that we change things without telling people. 352 00:00:00,000 --> 00:00:00,000 Say 100 people go in, they have normal prices, 100 other people go in they get a fat tax and then we can see how that influences their purchases. 353 00:00:00,000 --> 00:00:00,000 23.46 354 00:00:00,000 --> 00:00:00,000 VO SG: Wilma manipulated the price of products to see if it would encourage people to make healthier food choices. 355 00:00:00,000 --> 00:00:00,000 23.52 356 00:00:00,000 --> 00:00:00,000 WW: We have done about four different experiments in the virtual supermarket – subsidy on fruits and vegetables, we’ve done one where we did taxes on unhealthy food and subsidies on healthy food. 357 00:00:00,000 --> 00:00:00,000 One where we changed the prices and changed the labels and one where we did a soft drink tax. 358 00:00:00,000 --> 00:00:00,000 We found that in all experiments that changing the price is very effective in changing consumption so if you introduce a subsidy people buy more healthy food and if you introduce a tax on unhealthy food people buy less of the unhealthy food. 359 00:00:00,000 --> 00:00:00,000 24.27 360 00:00:00,000 --> 00:00:00,000 SG: [indistinct 24.27]. 361 00:00:00,000 --> 00:00:00,000 No sugar, right? 362 00:00:00,000 --> 00:00:00,000 24.31 363 00:00:00,000 --> 00:00:00,000 Man: Yeah. 364 00:00:00,000 --> 00:00:00,000 24. 365 00:00:00,000 --> 00:00:00,000 VO SG: Should our government be subsidising healthy food and taxing things like sugar? 366 00:00:00,000 --> 00:00:00,000 24.37 367 00:00:00,000 --> 00:00:00,000 ST: Yeah, I think we’ve got to go down the same track as tobacco with sugary products. 368 00:00:00,000 --> 00:00:00,000 They’re causing us all kinds of harm, most of us are having a truck load of sugar without even thinking about it. 369 00:00:00,000 --> 00:00:00,000 It’s laced in the manufactured foods that we eat. 370 00:00:00,000 --> 00:00:00,000 24.56 371 00:00:00,000 --> 00:00:00,000 GS: A tax on sugary drinks has been shown to be effective in Mexico quite recently. 372 00:00:00,000 --> 00:00:00,000 They bought it in in 2014 and it showed that with a 10% tax consumption reduced by 12%. 373 00:00:00,000 --> 00:00:00,000 The reduction in consumption was greater for people of lower socioeconomic status, they reduced their intake of sugary drinks by about 17%. 374 00:00:00,000 --> 00:00:00,000 25.21 375 00:00:00,000 --> 00:00:00,000 SG: Lovely work, guys. 376 00:00:00,000 --> 00:00:00,000 25.23 377 00:00:00,000 --> 00:00:00,000 WW: It’s not just about introducing taxes or subsidies but also thinking about how can it be that unhealthy food is so cheap? Why does a Big Mac only cost $2.00 or $3.00 and how can it be that we have all these shelves of all these unhealthy foods? Thinking one step further into what are we doing at the moment? How do international agricultural subsidies and policies and commercial pressure influence the food system and how can we change that? 378 00:00:00,000 --> 00:00:00,000 25.51 379 00:00:00,000 --> 00:00:00,000 WC: I think we all need to make more active decisions about our lives, we are all quite passive. 380 00:00:00,000 --> 00:00:00,000 It’s easy to be passive and become obese – you actually have to become much more active to prevent becoming obese. 381 00:00:00,000 --> 00:00:00,000 26.07 382 00:00:00,000 --> 00:00:00,000 VO SG: An “active” role is just what one south Auckland school has taken and they’ve seen huge changes for the better in their students. 383 00:00:00,000 --> 00:00:00,000 26.16 384 00:00:00,000 --> 00:00:00,000 SG: Dilworth Rural Campus has a real different way of feeding the kids. 385 00:00:00,000 --> 00:00:00,000 26.22 386 00:00:00,000 --> 00:00:00,000 JR: It started off we were really interested in getting kids fit when they came out here because they do a lot of outdoors and we do daily fitness, that’s an important part of what we do. 387 00:00:00,000 --> 00:00:00,000 What we noticed was that in our first couple of years, really, that even though we did a lot of outdoor stuff and daily fitness that we had a lot of big boys who, I guess, had gained more muscle but they actually weren’t dropping a lot of weight and I was thinking, why is that because they’re eating pretty well. 388 00:00:00,000 --> 00:00:00,000 Then I had conversation with my chef and said, “I think we need to maybe start to look at our diet.” 389 00:00:00,000 --> 00:00:00,000 26.53 390 00:00:00,000 --> 00:00:00,000 VO SG: John asked AUT dietician Dr Caryn Zinn for advice. 391 00:00:00,000 --> 00:00:00,000 She suggested cutting back on the carbs and removing sugar from the boys’ diet. 392 00:00:00,000 --> 00:00:00,000 But when head chef Craig heard about the idea, however, he was sceptical. 393 00:00:00,000 --> 00:00:00,000 27.09 394 00:00:00,000 --> 00:00:00,000 CJ: I thought this is just bonkers so I thought, oh well, I’ve gotta do this myself before I take it to the kids and stand in front of 100 kid’s parents. 395 00:00:00,000 --> 00:00:00,000 27.18 396 00:00:00,000 --> 00:00:00,000 SG: You don’t look like you need to lose weight, mate! 397 00:00:00,000 --> 00:00:00,000 27.21 398 00:00:00,000 --> 00:00:00,000 CJ: This is 27 kilos later and a year and a half. 399 00:00:00,000 --> 00:00:00,000 27.26 400 00:00:00,000 --> 00:00:00,000 SG: Twenty seven kilos? 401 00:00:00,000 --> 00:00:00,000 27.26 402 00:00:00,000 --> 00:00:00,000 VO SG: Craig’s massive weight loss is an inspirational story in itself but he still had to convince everyone else that this was going to work. 403 00:00:00,000 --> 00:00:00,000 27.35 404 00:00:00,000 --> 00:00:00,000 CJ: First year talking to the parents, talking to the boys getting them to understand. 405 00:00:00,000 --> 00:00:00,000 We started doing the pulled pork and the cereals went and the butter chicken, the boys like those sort of dishes. 406 00:00:00,000 --> 00:00:00,000 27.45 407 00:00:00,000 --> 00:00:00,000 SG: Sounds pretty tasty. 408 00:00:00,000 --> 00:00:00,000 What did you used to eat before you came here for breakfast? What would you have at home? 409 00:00:00,000 --> 00:00:00,000 27.48 410 00:00:00,000 --> 00:00:00,000 Boy: KFC, McDonald’s and all sorts of fast foods at restaurants and sugary foods. 411 00:00:00,000 --> 00:00:00,000 27.55 412 00:00:00,000 --> 00:00:00,000 SG: Are you serious? 413 00:00:00,000 --> 00:00:00,000 27.56 414 00:00:00,000 --> 00:00:00,000 Boy: Yes. 415 00:00:00,000 --> 00:00:00,000 27.57 416 00:00:00,000 --> 00:00:00,000 SG: Really? 417 00:00:00,000 --> 00:00:00,000 27.58 418 00:00:00,000 --> 00:00:00,000 Boy: Yeah. 419 00:00:00,000 --> 00:00:00,000 27.59 420 00:00:00,000 --> 00:00:00,000 SG: What do you think about what you’re now eating when you’re at school compared to at home? 421 00:00:00,000 --> 00:00:00,000 28.04 422 00:00:00,000 --> 00:00:00,000 Boy: It’s a lot better, it’s a lot more filling and nutritional and it helps us get through the day and you have no sugar highs and sugar lows and all those sorts of things. 423 00:00:00,000 --> 00:00:00,000 28.13 424 00:00:00,000 --> 00:00:00,000 VO SG: The boys are rostered on to help make the evening meal. 425 00:00:00,000 --> 00:00:00,000 Tonight’s dinner is lamb curry with fresh green beans and cauliflower rice – high in protein and vegetables and low in carbs. 426 00:00:00,000 --> 00:00:00,000 28.24 427 00:00:00,000 --> 00:00:00,000 CJ: We’ve got our nice grated cauliflower and again we’re gonna put that into our woks, little bit of oil, we’ll flavour that up, stir fry that up and we’ll put a cup of that with our lamb korma tonight. 428 00:00:00,000 --> 00:00:00,000 28.36 429 00:00:00,000 --> 00:00:00,000 SG: I’m working with a spoon. 430 00:00:00,000 --> 00:00:00,000 28.37 431 00:00:00,000 --> 00:00:00,000 CJ: You’re not bad, get in there, go. 432 00:00:00,000 --> 00:00:00,000 We’ll keep building the flavours in it anyway but that’s a start, we’re gonna put more spice, put more seasoning. 433 00:00:00,000 --> 00:00:00,000 28.48 434 00:00:00,000 --> 00:00:00,000 SG: Delicious. 435 00:00:00,000 --> 00:00:00,000 28.49 436 00:00:00,000 --> 00:00:00,000 CJ: If we can keep these boys happy, keep them learning and teach them some good, healthy, nutritious meals, give them good, healthy, nutritious meals on the way it puts them in good stead, eh? 437 00:00:00,000 --> 00:00:00,000 29.01 438 00:00:00,000 --> 00:00:00,000 VO SG: Come dinner time, the students can’t seem to get enough of this wholesome food. 439 00:00:00,000 --> 00:00:00,000 29.06 440 00:00:00,000 --> 00:00:00,000 SG: How’s dinner? 441 00:00:00,000 --> 00:00:00,000 29.07 442 00:00:00,000 --> 00:00:00,000 Boy: Yum. 443 00:00:00,000 --> 00:00:00,000 29.08 444 00:00:00,000 --> 00:00:00,000 SG: Yeah? 445 00:00:00,000 --> 00:00:00,000 29.09 446 00:00:00,000 --> 00:00:00,000 VO SG: Both students and teachers eat from the same menu and everyone is enjoying the benefits of this nutritious, tasty meal. 447 00:00:00,000 --> 00:00:00,000 29.16 448 00:00:00,000 --> 00:00:00,000 JR: The main thing we’ve got rid of is a tonne of sugar. 449 00:00:00,000 --> 00:00:00,000 29.20 450 00:00:00,000 --> 00:00:00,000 SG: Literally a tonne? 451 00:00:00,000 --> 00:00:00,000 29.21 452 00:00:00,000 --> 00:00:00,000 JR: Yeah, it’s actually over. 453 00:00:00,000 --> 00:00:00,000 Craig estimates it’s over a tonne of sugar out of the diet. 454 00:00:00,000 --> 00:00:00,000 29.27 455 00:00:00,000 --> 00:00:00,000 SG: That’s a lot of sugar. 456 00:00:00,000 --> 00:00:00,000 29.28 457 00:00:00,000 --> 00:00:00,000 JR: That’s a lot of sugar. 458 00:00:00,000 --> 00:00:00,000 Last year we did the whole year on this new diet and we noticed a significant difference in our bigger kids, particularly in the waist measurements coming down to the point those boys were different body shapes altogether by the time they got to the end of last year. 459 00:00:00,000 --> 00:00:00,000 We figured this is it – it’s not just exercise, diet was really the key thing that made the difference. 460 00:00:00,000 --> 00:00:00,000 30.34 461 00:00:00,000 --> 00:00:00,000 VO SG: I’ve been working hard for three months now and finally I’ve got enough confidence to go to the gym rather than just working out at home. 462 00:00:00,000 --> 00:00:00,000 Luke: Keep the core tight, good. 463 00:00:00,000 --> 00:00:00,000 [indistinct 30.47] good, jump back. 464 00:00:00,000 --> 00:00:00,000 There it is, jump up. 465 00:00:00,000 --> 00:00:00,000 Perfect. 466 00:00:00,000 --> 00:00:00,000 Keep the weight over the hands, that’s good. 467 00:00:00,000 --> 00:00:00,000 30.54 468 00:00:00,000 --> 00:00:00,000 VO SG: Well, this is it, I’m ready to redo all the tests I did three months ago and it’s time to see if all the expert nutritional and fitness advice has paid off. 469 00:00:00,000 --> 00:00:00,000 I’ve been working out three days a week. 470 00:00:00,000 --> 00:00:00,000 I haven’t necessarily loved it but I’m pretty sure Luke has got me to the stage where I’ll be fit enough to show a marked improvement. 471 00:00:00,000 --> 00:00:00,000 31.18 472 00:00:00,000 --> 00:00:00,000 Avon: It looks like you missed your appointment with the beautician again so we have to 
 473 00:00:00,000 --> 00:00:00,000 31.22 474 00:00:00,000 --> 00:00:00,000 SG: I’ve come to see you, mate, I know that you’re gonna do your nice little artistic shaving thing so you just fill your boots. 475 00:00:00,000 --> 00:00:00,000 31.32 476 00:00:00,000 --> 00:00:00,000 Avon: Yeah, why not. 477 00:00:00,000 --> 00:00:00,000 31.36 478 00:00:00,000 --> 00:00:00,000 SG: I’m back here again, I’m getting my chest shaved very artistically done by Avon, thank you. 479 00:00:00,000 --> 00:00:00,000 31.44 480 00:00:00,000 --> 00:00:00,000 Avon: Pleasure. 481 00:00:00,000 --> 00:00:00,000 31.46 482 00:00:00,000 --> 00:00:00,000 SG: Hopefully I’ll be a bit fitter on that treadmill. 483 00:00:00,000 --> 00:00:00,000 31.50 484 00:00:00,000 --> 00:00:00,000 VO SG: The test is the same as before, ECG electrodes will monitor my heart rate and an oxygen mask measures my exercise capacity on the treadmill. 485 00:00:00,000 --> 00:00:00,000 Last time I definitely ran out of puff, let’s see if i can do better this time. 486 00:00:00,000 --> 00:00:00,000 32.04 487 00:00:00,000 --> 00:00:00,000 Matt: In less than a minute it’s gonna start and if you recall it started at quite a low speed to begin with and it’s gonna work its way up to a brisk pace and then that gradient’s gonna come in thereafter. 488 00:00:00,000 --> 00:00:00,000 Hopefully it’ll feel a little bit easier to you this time. 489 00:00:00,000 --> 00:00:00,000 32.22 490 00:00:00,000 --> 00:00:00,000 VO SG: I’m eased into the test with a gentle amble but it’s not long before the speed increases and, hey, between you and me, I’m quietly confident. 491 00:00:00,000 --> 00:00:00,000 32.31 492 00:00:00,000 --> 00:00:00,000 Matt: This is where last time Simon really increased but it’s looking really nice so far. 493 00:00:00,000 --> 00:00:00,000 32.39 494 00:00:00,000 --> 00:00:00,000 VO SG: The 6% incline is punishing on the legs. 495 00:00:00,000 --> 00:00:00,000 At this stage last time my heart rate increased dramatically but I’m feeling good so I’ll push on. 496 00:00:00,000 --> 00:00:00,000 32.49 497 00:00:00,000 --> 00:00:00,000 Matt: Great stuff, Simon, that’s it. 498 00:00:00,000 --> 00:00:00,000 Just come a little forward on the treadmill. 499 00:00:00,000 --> 00:00:00,000 Good work, keep it going, keep pushing. 500 00:00:00,000 --> 00:00:00,000 Doing really well. 501 00:00:00,000 --> 00:00:00,000 That’s it, keep it up. 502 00:00:00,000 --> 00:00:00,000 32.57 503 00:00:00,000 --> 00:00:00,000 Man: Doing well, Simon. 504 00:00:00,000 --> 00:00:00,000 Keep digging. 505 00:00:00,000 --> 00:00:00,000 32.59 506 00:00:00,000 --> 00:00:00,000 Matt: Keep those good strides going. 507 00:00:00,000 --> 00:00:00,000 Doing well. 508 00:00:00,000 --> 00:00:00,000 There’s about 45 seconds left for the test. 509 00:00:00,000 --> 00:00:00,000 33.11 510 00:00:00,000 --> 00:00:00,000 VO SG: Now my heart’s pounding and breathing in the mask is very difficult but I really wanna finish this. 511 00:00:00,000 --> 00:00:00,000 I’m not giving up. 512 00:00:00,000 --> 00:00:00,000 33.27 513 00:00:00,000 --> 00:00:00,000 Matt: And coming down, coming down. 514 00:00:00,000 --> 00:00:00,000 That’s the one. 515 00:00:00,000 --> 00:00:00,000 Awesome, good effort. 516 00:00:00,000 --> 00:00:00,000 33.40 517 00:00:00,000 --> 00:00:00,000 SG: This is something you have to do every week, every week – good for us. 518 00:00:00,000 --> 00:00:00,000 33.46 519 00:00:00,000 --> 00:00:00,000 VO SG: But did I do better than last time? 520 00:00:00,000 --> 00:00:00,000 33.49 521 00:00:00,000 --> 00:00:00,000 Matt: The difference between last time and this time, especially when you got to around about that 6 to 9% gradient on the treadmill, so it was getting up to a reasonable slope there, last time you really ramped up and basically finished off pretty quick thereafter. 522 00:00:00,000 --> 00:00:00,000 This time you’ve gone on another two stages further and capacity cardiovascular fitness has improved substantially so that’s gone from 26 up to 30 which is doesn’t sound like much in terms of just general numbers but that’s a big jump in terms of fitness. 523 00:00:00,000 --> 00:00:00,000 To go from that point to there is around about a 15% or so risk reduction in terms of cardiovascular disease so moving that up’s a really, really good thing to see. 524 00:00:00,000 --> 00:00:00,000 Yeah, a lot better. 525 00:00:00,000 --> 00:00:00,000 34.41 526 00:00:00,000 --> 00:00:00,000 SG: I’m pleased I didn’t make a total disgrace out of myself but I am seeing some results. 527 00:00:00,000 --> 00:00:00,000 34.47 528 00:00:00,000 --> 00:00:00,000 Matt: What we’re looking for is to make a big jump all the way down to this phase through here which is approximately the 25th but you’ve gone even further round about to 42nd percentile approximate. 529 00:00:00,000 --> 00:00:00,000 You’ve made that really big risk reduction leap. 530 00:00:00,000 --> 00:00:00,000 35.05 531 00:00:00,000 --> 00:00:00,000 SG: When I see my cardiovascular risk has decreased substantially and if you just go to the gym or go for a walk or go for a run, you don’t know what difference you’re making to your body so I’ve seen some hard concrete evidence – my blood pressure was good all the way through, I didn’t fall off the damn thing at the end so I’m making progress and the gym’s working. 532 00:00:00,000 --> 00:00:00,000 35.33 533 00:00:00,000 --> 00:00:00,000 VO SG: Fitness is looking good but what about body fat? 534 00:00:00,000 --> 00:00:00,000 35.36 535 00:00:00,000 --> 00:00:00,000 SG: Hi Pam. 536 00:00:00,000 --> 00:00:00,000 35.37 537 00:00:00,000 --> 00:00:00,000 PVH: Hi Simon, welcome back. 538 00:00:00,000 --> 00:00:00,000 35.41 539 00:00:00,000 --> 00:00:00,000 SG: Body Pod time. 540 00:00:00,000 --> 00:00:00,000 35.41 541 00:00:00,000 --> 00:00:00,000 PVH: You can see the BodPod’s all ready and waiting for you. 542 00:00:00,000 --> 00:00:00,000 35.45 543 00:00:00,000 --> 00:00:00,000 VO SG: Last time I climbed into this thing i was carrying 40% body fat. 544 00:00:00,000 --> 00:00:00,000 I’m really hoping to have dropped below 30% so I’m not in the risky category anymore. 545 00:00:00,000 --> 00:00:00,000 Then it’s on to the DEXA for a quick scan. 546 00:00:00,000 --> 00:00:00,000 Three months ago it showed a heap of fat around my waist and thighs but I’m hopeful there’s been some changes there, too. 547 00:00:00,000 --> 00:00:00,000 With both tests now complete, it’s time for the results. 548 00:00:00,000 --> 00:00:00,000 36.10 549 00:00:00,000 --> 00:00:00,000 PVH: Looking at what the BodPod tells us and the BodPod is pretty much gold standard for body composition and as you can see here your percentage body fat is now 33.8% whereas it was 40%. 550 00:00:00,000 --> 00:00:00,000 So that’s quite a considerable loss. 551 00:00:00,000 --> 00:00:00,000 36.31 552 00:00:00,000 --> 00:00:00,000 VO SG: It’s an improved result but if I can be brutally honest, I’m bloody disappointed. 553 00:00:00,000 --> 00:00:00,000 Although I’ve lost 7% body fat, I’m still in the risky category and I’m gutted. 554 00:00:00,000 --> 00:00:00,000 36.44 555 00:00:00,000 --> 00:00:00,000 PVH: With people who are Insulin resistant or even with type 2 diabetes we see a marked improvement in Insulin sensitivity with just a 10% body fat loss and that’s close – we’re getting close to 10%,. 556 00:00:00,000 --> 00:00:00,000 It’s certainly on the way to being an awful lot more healthy and it shows that whatever it is you’ve been doing it’s been working really well. 557 00:00:00,000 --> 00:00:00,000 Your muscle mass is gone from 55.09 and now it’s 55.7. 558 00:00:00,000 --> 00:00:00,000 Muscle mass increase can make quite a difference to overall health but also it really will assist in weight loss because muscle is quite highly metabolic so it burns a lot more energy. 559 00:00:00,000 --> 00:00:00,000 The more muscle mass you’ve got, even if you’re not actually exercising right at the time, that muscle is burning more energy. 560 00:00:00,000 --> 00:00:00,000 37.47 561 00:00:00,000 --> 00:00:00,000 VO SG: When we compare the old DEXA results with the new I feel a little better because the belly fat, which is highlighted in yellow, has gotten smaller. 562 00:00:00,000 --> 00:00:00,000 This will further reduce the risks of cardiovascular disease and diabetes so I have turned a corner. 563 00:00:00,000 --> 00:00:00,000 37.53 564 00:00:00,000 --> 00:00:00,000 SG: Oh, well, that’s the answer, isn’t it? I’ve just gotta keep going 
 565 00:00:00,000 --> 00:00:00,000 37.56 566 00:00:00,000 --> 00:00:00,000 PVH: Keep going. 567 00:00:00,000 --> 00:00:00,000 37.58 568 00:00:00,000 --> 00:00:00,000 SG: 
 and it’s sustainable loss that I’m looking for, isn’t it? 569 00:00:00,000 --> 00:00:00,000 38.01 570 00:00:00,000 --> 00:00:00,000 PVH: Yeah, mm hm. 571 00:00:00,000 --> 00:00:00,000 38.01 572 00:00:00,000 --> 00:00:00,000 SG: Perhaps I was expecting a magic formula weight loss and I haven’t got that but I have lost weight, I have lost a lot quite a lot. 573 00:00:00,000 --> 00:00:00,000 38.12 574 00:00:00,000 --> 00:00:00,000 PVH: You’ve lost a lot of weight and that was dangerous weight so that’s good to have gone and it’s only going to get easier now because I suspect you’re probably a lot fitter and maybe it might be a good time now to look at your exercise programme and start building a bit more resistance training, start getting that lean mass up a little bit more. 575 00:00:00,000 --> 00:00:00,000 38.34 576 00:00:00,000 --> 00:00:00,000 SG: Okay. 577 00:00:00,000 --> 00:00:00,000 Resistance training – awesome! 578 00:00:00,000 --> 00:00:00,000 39.31 579 00:00:00,000 --> 00:00:00,000 Tamara: Hi. 580 00:00:00,000 --> 00:00:00,000 39.32 581 00:00:00,000 --> 00:00:00,000 SG: How are you, Tamara? 582 00:00:00,000 --> 00:00:00,000 39.32 583 00:00:00,000 --> 00:00:00,000 Tamara: How are you, Simon? Good, how are you? You look great! Wow, really good. 584 00:00:00,000 --> 00:00:00,000 39.37 585 00:00:00,000 --> 00:00:00,000 SG: I’m buying these thin jerseys. 586 00:00:00,000 --> 00:00:00,000 Slimming [indistinct 39.40]. 587 00:00:00,000 --> 00:00:00,000 39.40 588 00:00:00,000 --> 00:00:00,000 Tamara: Oh, seriously? You look marvellous. 589 00:00:00,000 --> 00:00:00,000 Let’s check what the numbers are doing, hey? 590 00:00:00,000 --> 00:00:00,000 39.45 591 00:00:00,000 --> 00:00:00,000 SG: Okay. 592 00:00:00,000 --> 00:00:00,000 39.46 593 00:00:00,000 --> 00:00:00,000 SG: So it’s crunch time – the tape measure. 594 00:00:00,000 --> 00:00:00,000 Tamara: Just wrap this around here. 595 00:00:00,000 --> 00:00:00,000 That’s 101 so that’s great. 596 00:00:00,000 --> 00:00:00,000 39.55 597 00:00:00,000 --> 00:00:00,000 VO SG: After being measured and weighed by Tamara I’m off to see Dr William Ferguson for the last time. 598 00:00:00,000 --> 00:00:00,000 I’m anxious to see what he thinks. 599 00:00:00,000 --> 00:00:00,000 40.03 600 00:00:00,000 --> 00:00:00,000 Tamara: I can’t remember what you were at the beginning but I’m sure that’s 
 601 00:00:00,000 --> 00:00:00,000 40.06 602 00:00:00,000 --> 00:00:00,000 SG: A tad more. 603 00:00:00,000 --> 00:00:00,000 40.07 604 00:00:00,000 --> 00:00:00,000 Tamara: A tad more. 605 00:00:00,000 --> 00:00:00,000 Great. 606 00:00:00,000 --> 00:00:00,000 Alright, let’s go through and give these to William. 607 00:00:00,000 --> 00:00:00,000 40.10 608 00:00:00,000 --> 00:00:00,000 WF: Simon, you’ve really achieved something here, I can see it. 609 00:00:00,000 --> 00:00:00,000 You’ve really changed your shape and I first realised, of course, that you’d really succeeded when I saw this BodPod image. 610 00:00:00,000 --> 00:00:00,000 The thing that just leaps off the page is how your central fat distribution has just melted away. 611 00:00:00,000 --> 00:00:00,000 I’m just so impressed with the with what you’ve been able to do here but let’s go through it. 612 00:00:00,000 --> 00:00:00,000 Your weight has come down from the first visit at 95 to 84 and that’s actually taken your BMI – your Body Mass Index – from 31, which I remember you were shocked to discover, classified you as obese, it’s taken you down to 27.5. 613 00:00:00,000 --> 00:00:00,000 40.56 614 00:00:00,000 --> 00:00:00,000 SG: So am I still in the obese category? 615 00:00:00,000 --> 00:00:00,000 40.59 616 00:00:00,000 --> 00:00:00,000 SG: No, you’re not obese – you’re in the overweight category and if we can get you to 25, down from 27.5, we’d say you’re at the upper end of the normal range. 617 00:00:00,000 --> 00:00:00,000 Your waist circumference has come down from 112 to 101 – you’ve lost 11 centimetres of lard from your middle. 618 00:00:00,000 --> 00:00:00,000 41.20 619 00:00:00,000 --> 00:00:00,000 SG: That’s quite a long – 11 centimetres in my world is that long, right? That’s quite a lot. 620 00:00:00,000 --> 00:00:00,000 41.26 621 00:00:00,000 --> 00:00:00,000 WF: And along with that, according to the BodPod, you’ve put on a kilo of muscle and a lot of people when they go on weight crash loss things they actually lose muscle as well so that’s a positive gain. 622 00:00:00,000 --> 00:00:00,000 The next thing – the report I have from your fitness man 
 623 00:00:00,000 --> 00:00:00,000 41.47 624 00:00:00,000 --> 00:00:00,000 SG: Luke. 625 00:00:00,000 --> 00:00:00,000 41.47 626 00:00:00,000 --> 00:00:00,000 WF: Yeah, is that you’ve gone from somewhere probably below the 15th percentile up to the 40th percentile in terms of your fitness. 627 00:00:00,000 --> 00:00:00,000 The overall picture is completely clear – you’ve just normalised everything, you really have. 628 00:00:00,000 --> 00:00:00,000 With what you’ve done, despite these setbacks, you’ve really taken yourself into the normal range of almost everything. 629 00:00:00,000 --> 00:00:00,000 42.12 630 00:00:00,000 --> 00:00:00,000 VO SG: So I’m almost normal but it’s the internal fat that was killing me – back to the MRI to look inside 631 00:00:00,000 --> 00:00:00,000 42.20 632 00:00:00,000 --> 00:00:00,000 SG: Three months late and I’m back and I’ve gotta go back in that thing and, let me tell you, I don’t like it at all. 633 00:00:00,000 --> 00:00:00,000 You’re in a tube and you’re all constrained and it’s not very nice but hopefully it’s gonna be friendly to me with the results, hopefully my liver and pancreas doesn’t have quite so much fat around it. 634 00:00:00,000 --> 00:00:00,000 That's certainly what I’m hoping for. 635 00:00:00,000 --> 00:00:00,000 Wish me luck. 636 00:00:00,000 --> 00:00:00,000 42.54 637 00:00:00,000 --> 00:00:00,000 RH: Breathe in, breathe out. 638 00:00:00,000 --> 00:00:00,000 Stop breathing. 639 00:00:00,000 --> 00:00:00,000 Breathe normally. 640 00:00:00,000 --> 00:00:00,000 43.07 641 00:00:00,000 --> 00:00:00,000 JL: Let’s see if your work regime has worked out for you. 642 00:00:00,000 --> 00:00:00,000 This is the result. 643 00:00:00,000 --> 00:00:00,000 43.16 644 00:00:00,000 --> 00:00:00,000 SG: Oh, check out that pancreatic fat. 645 00:00:00,000 --> 00:00:00,000 43.19 646 00:00:00,000 --> 00:00:00,000 JL: Look. 647 00:00:00,000 --> 00:00:00,000 First scan on the left and second scan and the total abdominal fat you reduced by 5%. 648 00:00:00,000 --> 00:00:00,000 It’s a huge reduction. 649 00:00:00,000 --> 00:00:00,000 Those are the bad fat which are infiltrating your organs and in your abdominal chamber and then, as you can see, subcutaneous fat – no change which is good. 650 00:00:00,000 --> 00:00:00,000 Why? Because those are the fats keep you warm is in your skin and keep you warm. 651 00:00:00,000 --> 00:00:00,000 You don’t want to reduce that. 652 00:00:00,000 --> 00:00:00,000 The visceral fat – that infiltrate your organs within your abdominal cavity – reduced by 5%. 653 00:00:00,000 --> 00:00:00,000 The most amazing thing is pancreatic fat – you reduced nearly half. 654 00:00:00,000 --> 00:00:00,000 It was 10.8 before, as I said, normal people will be around 5 and you’re normal! 655 00:00:00,000 --> 00:00:00,000 44.16 656 00:00:00,000 --> 00:00:00,000 SG: Normal range? 657 00:00:00,000 --> 00:00:00,000 44.16 658 00:00:00,000 --> 00:00:00,000 JL: Yeah, almost normal. 659 00:00:00,000 --> 00:00:00,000 Pretty much normal. 660 00:00:00,000 --> 00:00:00,000 44.20 661 00:00:00,000 --> 00:00:00,000 SG: Pretty much. 662 00:00:00,000 --> 00:00:00,000 44.21 663 00:00:00,000 --> 00:00:00,000 JL: Pretty much normal. 664 00:00:00,000 --> 00:00:00,000 This is the hardest fat to reduce and I don’t know how you do it but you did it and that’s the most significant risk factor for type 2 diabetes. 665 00:00:00,000 --> 00:00:00,000 From that result alone, I can tell your diabetes parameters should be improved significantly. 666 00:00:00,000 --> 00:00:00,000 Fantastic and I’m a little bit astonished, actually, because never seen people can reduce 50% of the pancreatic fat that quick. 667 00:00:00,000 --> 00:00:00,000 As I said, people need to do surgery to get that and you, whatever you’re doing, you’ve already achieved that – so amazing! 668 00:00:00,000 --> 00:00:00,000 45.02 669 00:00:00,000 --> 00:00:00,000 VO SG: Professor Jun Lu’s enthusiasm encourages me to ask the impossible. 670 00:00:00,000 --> 00:00:00,000 45.09 671 00:00:00,000 --> 00:00:00,000 SG: Could I potentially reverse this diabetes? 672 00:00:00,000 --> 00:00:00,000 45.12 673 00:00:00,000 --> 00:00:00,000 JL: That’s a possibility, that’s what I said because if people with bariatric surgery can reduce their pancreatic fat and then can turn back into normal then you have a high chance to be normal. 674 00:00:00,000 --> 00:00:00,000 I don’t know whether you’re normal or not yet but from that point, from pancreatic fat alone – you’re nearly normal. 675 00:00:00,000 --> 00:00:00,000 45.35 676 00:00:00,000 --> 00:00:00,000 SG: And if I keep going 
 677 00:00:00,000 --> 00:00:00,000 45.36 678 00:00:00,000 --> 00:00:00,000 JL: There is a possibility that you’ll be diabetes free and hopefully next year I will see you diabetes free! 679 00:00:00,000 --> 00:00:00,000 45.46 680 00:00:00,000 --> 00:00:00,000 SG: Alright, it’s a mission. 681 00:00:00,000 --> 00:00:00,000 45.48 682 00:00:00,000 --> 00:00:00,000 JL: Yes. 683 00:00:00,000 --> 00:00:00,000 45.49 684 00:00:00,000 --> 00:00:00,000 SG: High five for that. 685 00:00:00,000 --> 00:00:00,000 45.51 686 00:00:00,000 --> 00:00:00,000 JL: That’s amazing. 687 00:00:00,000 --> 00:00:00,000 45.55 688 00:00:00,000 --> 00:00:00,000 SG: Shall we taste the basil first? 689 00:00:00,000 --> 00:00:00,000 45.57 690 00:00:00,000 --> 00:00:00,000 VO SG: Back when I was diagnosed as an obese diabetic, I worried that I wouldn’t live to see my daughter grow up, that she wouldn’t get to know me. 691 00:00:00,000 --> 00:00:00,000 46.07 692 00:00:00,000 --> 00:00:00,000 SG: Do you wanna try some? 693 00:00:00,000 --> 00:00:00,000 46.08 694 00:00:00,000 --> 00:00:00,000 VO SG: I don’t feel that way now. 695 00:00:00,000 --> 00:00:00,000 I’ve had great advice and support and I’ve learned a lot. 696 00:00:00,000 --> 00:00:00,000 46.16 697 00:00:00,000 --> 00:00:00,000 SG: When you get this and you smell it. 698 00:00:00,000 --> 00:00:00,000 46.16 699 00:00:00,000 --> 00:00:00,000 VO SG: Now I know why so many of us are fat and I know what I have to do to change that. 700 00:00:00,000 --> 00:00:00,000 I’ve turned a corner but the process is not finished. 701 00:00:00,000 --> 00:00:00,000 Like everyone else, I’ll have to keep making the effort. 702 00:00:00,000 --> 00:00:00,000 But it’s definitely worth it. 703 00:00:04,901 --> 00:00:07,322 BĂ©o phĂŹ lĂ  cuộc khá»§ng hoáșŁng sức khỏe 704 00:00:07,322 --> 00:00:09,029 lớn nháș„t tháșż giới hiện nay. 705 00:00:09,029 --> 00:00:10,714 Láș§n đáș§u tiĂȘn trong lịch sá»­, 706 00:00:10,714 --> 00:00:11,920 con cĂĄi đối máș·t với nguy cÆĄ 707 00:00:11,920 --> 00:00:13,920 tuổi thọ ngáșŻn hÆĄn bố máșč. 708 00:00:13,920 --> 00:00:15,658 ChĂșng ta ăn uống kĂ©m lĂ nh máșĄnh hÆĄn 709 00:00:15,658 --> 00:00:16,933 vĂ  ngĂ y cĂ ng bĂ©o hÆĄn. 710 00:00:16,930 --> 00:00:18,528 Đó lĂ  một gĂĄnh náș·ng lớn 711 00:00:18,528 --> 00:00:19,813 đối với hệ thống y táșż. 712 00:00:19,813 --> 00:00:21,621 ChĂșng ta cĂł thể lĂ m gĂŹ đñy? 713 00:00:21,808 --> 00:00:23,194 Xin chĂ o, tĂŽi lĂ  Simon Gault 714 00:00:23,194 --> 00:00:24,474 vĂ  tĂŽi lĂ  đáș§u báșżp. 715 00:00:24,474 --> 00:00:26,256 Cuộc sống cá»§a tĂŽi chỉ cĂł đồ ăn, 716 00:00:26,250 --> 00:00:29,296 tĂŽi yĂȘu khoáșŁnh kháșŻc Ä‘Æ°á»Łc ăn uống. 717 00:00:29,578 --> 00:00:31,296 Nhưng tháș­t khĂŽng may, 718 00:00:31,296 --> 00:00:33,093 tĂŽi trở nĂȘn to bĂ©o. 719 00:00:33,258 --> 00:00:36,277 Giờ tĂŽi láșĄi máșŻc thĂȘm bệnh tiểu đường 720 00:00:36,360 --> 00:00:38,112 căn bệnh đang từ từ giáșżt cháșżt tĂŽi. 721 00:00:38,581 --> 00:00:41,420 VĂ  giờ đñy tĂŽi quyáșżt định đi tĂŹm hiểu xem 722 00:00:41,445 --> 00:00:43,530 "VĂŹ sao ta bĂ©o?" 723 00:00:44,032 --> 00:00:46,202 In the second episode I got down and dirty with an excruciating fitness regime. Trong táș­p 2, tĂŽi đã 724 00:00:46,202 --> 00:00:49,690 0.51 66520

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