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class="searchbar__input" name="q" value=""/><input type="submit" aria-label="Search BBC Food's recipes" class="searchbar__search-button" id="searchbar-search-button" name="searchButton" value=""/><button class="searchbar__close-button" type="button"></button></div></form></div></div><div class="food-grid food-grid--full-width"><div class="food-content-wrapper"><div class="article-page__wrap gel-wrap"><div class="gel-layout"><div class="food-content__left gel-layout__item gel-1/1 gel-2/3@xl"><div class="blocks__container"><div class="blocks__content"><div id="u8535754565061339"><article class="blocks-block blocks-article" data-reactid=".du2ie5hw12" data-react-checksum="-665890055"><h1 class="blocks-article__headline" data-reactid=".du2ie5hw12.1">Can you train your metabolism to work faster?</h1><div class="blocks-article__grid" data-reactid=".du2ie5hw12.3"><div class="blocks-article__grid-row blocks-article__grid-row--0" data-reactid=".du2ie5hw12.3.$blocks-article-row-0"><div id="zscnm39" class="blocks-article__grid-cell blocks-article__grid-cell--full-width" data-reactid=".du2ie5hw12.3.$blocks-article-row-0.$zscnm39-0=10"><figure class="blocks-block blocks-image-block" data-reactid=".du2ie5hw12.3.$blocks-article-row-0.$zscnm39-0=10.1"><h2 class="blocks-image__title" data-reactid=".du2ie5hw12.3.$blocks-article-row-0.$zscnm39-0=10.1.0">Well, no you can’t, but yes you can. Look, it’s complicated. But there is good news…</h2><div class="blocks-image__wrapper" data-reactid=".du2ie5hw12.3.$blocks-article-row-0.$zscnm39-0=10.1.1"><div class="blocks-image" data-src="https://web.archive.org/web/20200824014259oe_/https://ichef.bbci.co.uk/images/ic/{width}/p08nkbq2.jpg" data-alt="" data-reactid=".du2ie5hw12.3.$blocks-article-row-0.$zscnm39-0=10.1.1.0"></div></div></figure></div></div><div class="blocks-article__grid-row blocks-article__grid-row--1" data-reactid=".du2ie5hw12.3.$blocks-article-row-1"><div id="z3d3p4j" class="blocks-article__grid-cell blocks-article__grid-cell--full-width" data-reactid=".du2ie5hw12.3.$blocks-article-row-1.$z3d3p4j-1=10"><div class="blocks-block blocks-text-block" data-reactid=".du2ie5hw12.3.$blocks-article-row-1.$z3d3p4j-1=10.1"><span data-reactid=".du2ie5hw12.3.$blocks-article-row-1.$z3d3p4j-1=10.1.0"></span><div class="blocks-text-block__text" data-reactid=".du2ie5hw12.3.$blocks-article-row-1.$z3d3p4j-1=10.1.1"><p class="blocks-text-block__paragraph" data-reactid=".du2ie5hw12.3.$blocks-article-row-1.$z3d3p4j-1=10.1.1.$0"><span data-reactid=".du2ie5hw12.3.$blocks-article-row-1.$z3d3p4j-1=10.1.1.$0.0">It’s the bugbear of many: you struggle to lose weight, but your friend cuts back for one day and the weight seemingly falls off or, even worse, they never have to moderate their diet to avoid weight gain. </span></p><p class="blocks-text-block__paragraph" data-reactid=".du2ie5hw12.3.$blocks-article-row-1.$z3d3p4j-1=10.1.1.$1"><span data-reactid=".du2ie5hw12.3.$blocks-article-row-1.$z3d3p4j-1=10.1.1.$1.$0">Now, new </span><a href="https://web.archive.org/web/20200824014259/https://www.nature.com/articles/s41591-020-0934-0" class="blocks-text-block__link blocks-text-block__link--external-link" data-bbc-container="blocks-text-block" data-bbc-metadata="{"EXT":true}" data-reactid=".du2ie5hw12.3.$blocks-article-row-1.$z3d3p4j-1=10.1.1.$1.$1"><span data-reactid=".du2ie5hw12.3.$blocks-article-row-1.$z3d3p4j-1=10.1.1.$1.$1.0">research</span></a><span data-reactid=".du2ie5hw12.3.$blocks-article-row-1.$z3d3p4j-1=10.1.1.$1.$2"> indicates that as individuals we metabolise some foods more quickly than others. This implies that if we knew more about how different foods affect our bodies, we could identify and avoid or cut back on our personal triggers for blood sugar spikes and excess energy. Sounds great right? But could reducing how much we eat of these foods affect the speed at which we lose weight as individuals?</span></p><p class="blocks-text-block__paragraph" data-reactid=".du2ie5hw12.3.$blocks-article-row-1.$z3d3p4j-1=10.1.1.$2"><span data-reactid=".du2ie5hw12.3.$blocks-article-row-1.$z3d3p4j-1=10.1.1.$2.0">We spoke to Professor Tim Spector, Dr Giles Yeo and nutritionist and personal trainer David Wiener to decipher the science.</span></p></div></div></div></div><div class="blocks-article__grid-row blocks-article__grid-row--2" data-reactid=".du2ie5hw12.3.$blocks-article-row-2"><div id="z7s7kty" class="blocks-article__grid-cell blocks-article__grid-cell--full-width" data-reactid=".du2ie5hw12.3.$blocks-article-row-2.$z7s7kty-2=10"><div class="blocks-block blocks-text-block" data-reactid=".du2ie5hw12.3.$blocks-article-row-2.$z7s7kty-2=10.1"><h2 class="blocks-text-block__title" data-reactid=".du2ie5hw12.3.$blocks-article-row-2.$z7s7kty-2=10.1.0">What’s the science?</h2><div class="blocks-text-block__text" data-reactid=".du2ie5hw12.3.$blocks-article-row-2.$z7s7kty-2=10.1.1"><p class="blocks-text-block__paragraph" data-reactid=".du2ie5hw12.3.$blocks-article-row-2.$z7s7kty-2=10.1.1.$0"><span data-reactid=".du2ie5hw12.3.$blocks-article-row-2.$z7s7kty-2=10.1.1.$0.0">High levels of sugars or fats in the bloodstream can be caused by a sudden high intake of these nutrients, for instance when you eat a large piece of cake, or you have an inefficient (slow) metabolic response to eating a smaller piece of cake. This spike is associated with energy that is excess to requirements and therefore stored as fat. </span></p><p class="blocks-text-block__paragraph" data-reactid=".du2ie5hw12.3.$blocks-article-row-2.$z7s7kty-2=10.1.1.$1"><span data-reactid=".du2ie5hw12.3.$blocks-article-row-2.$z7s7kty-2=10.1.1.$1.0">Professor Spector’s study saw 1,100 participants (a mixture of identical and non-identical twins and unrelated individuals) fast overnight, then spend the following day in hospital. While there, their bloods were taken every half hour and they were given identical foods and portions. Their body’s response to the food was analysed. When they returned home for two weeks, they were given set foods and meals to eat, and they also ate their own food. Their responses were logged via wearable technology (glucose monitors) and an app, with further blood prick samples submitted. Their microbiome (gut bacteria) was also collected at the beginning and end of the study. </span></p><p class="blocks-text-block__paragraph" data-reactid=".du2ie5hw12.3.$blocks-article-row-2.$z7s7kty-2=10.1.1.$2"><span data-reactid=".du2ie5hw12.3.$blocks-article-row-2.$z7s7kty-2=10.1.1.$2.0">The result? “The metabolic response to food was so different between people in identical conditions. So, if they were given an identical muffin, for example, how much their sugar, insulin and blood fats went up varied about eight-fold between people. There was no average response. Even identical twins having the same meal at the same time had different responses”. </span></p><p class="blocks-text-block__paragraph" data-reactid=".du2ie5hw12.3.$blocks-article-row-2.$z7s7kty-2=10.1.1.$3"><span data-reactid=".du2ie5hw12.3.$blocks-article-row-2.$z7s7kty-2=10.1.1.$3.0">Combining all the data, they were able to create an algorithm and predict, with a 76 percent accuracy, how each participant would respond to any food.</span></p></div></div></div></div><div class="blocks-article__grid-row blocks-article__grid-row--3" data-reactid=".du2ie5hw12.3.$blocks-article-row-3"><div id="z2f28hv" class="blocks-article__grid-cell blocks-article__grid-cell--seven-twelfths-width" data-reactid=".du2ie5hw12.3.$blocks-article-row-3.$z2f28hv-3=10"><div class="blocks-article__grid-cell__shadow-element" style="height:0;width:0;" data-reactid=".du2ie5hw12.3.$blocks-article-row-3.$z2f28hv-3=10.0"></div><div class="blocks-block blocks-text-block" data-reactid=".du2ie5hw12.3.$blocks-article-row-3.$z2f28hv-3=10.1"><h2 class="blocks-text-block__title" data-reactid=".du2ie5hw12.3.$blocks-article-row-3.$z2f28hv-3=10.1.0">What can you change about how you metabolise food?</h2><div class="blocks-text-block__text" data-reactid=".du2ie5hw12.3.$blocks-article-row-3.$z2f28hv-3=10.1.1"><p class="blocks-text-block__paragraph" data-reactid=".du2ie5hw12.3.$blocks-article-row-3.$z2f28hv-3=10.1.1.$0"><span data-reactid=".du2ie5hw12.3.$blocks-article-row-3.$z2f28hv-3=10.1.1.$0.0">In Professor Spector’s study, while one person had a fat or sugar spike after eating one type of food, another got the same response from a different type. So when you learn a friend lost two stone on a diet yet you struggled to lose a few pounds, it may be because they cut out ingredients that caused the spike for them but you’re still eating the ones that cause it for you – you’re metabolising the same food very differently. The time people ate also affected their response.</span></p><p class="blocks-text-block__paragraph" data-reactid=".du2ie5hw12.3.$blocks-article-row-3.$z2f28hv-3=10.1.1.$1"><span data-reactid=".du2ie5hw12.3.$blocks-article-row-3.$z2f28hv-3=10.1.1.$1.0">So in theory, if you knew what was causing your spike you could reduce your consumption of those ingredients and eat at times that best support the burning of your fuel efficiently. Of course, it’s important to make sure you’re getting all the nutrients you need from alternative foods, too.</span></p><p class="blocks-text-block__paragraph" data-reactid=".du2ie5hw12.3.$blocks-article-row-3.$z2f28hv-3=10.1.1.$2"><span data-reactid=".du2ie5hw12.3.$blocks-article-row-3.$z2f28hv-3=10.1.1.$2.0">Is Professor Spector confident in time we’ll be able to manipulate the speed at which we metabolise food via diet? “Yes, I think that we can already do it to some extent now”.</span></p></div></div></div><div id="zbwbn9q" class="blocks-article__grid-cell blocks-article__grid-cell--five-twelfths-width " data-reactid=".du2ie5hw12.3.$blocks-article-row-3.$zbwbn9q-3=11"><figure class="blocks-block blocks-image-block" data-reactid=".du2ie5hw12.3.$blocks-article-row-3.$zbwbn9q-3=11.1"><span data-reactid=".du2ie5hw12.3.$blocks-article-row-3.$zbwbn9q-3=11.1.0"></span><div class="blocks-image__wrapper" data-reactid=".du2ie5hw12.3.$blocks-article-row-3.$zbwbn9q-3=11.1.1"><div class="blocks-image" data-src="https://web.archive.org/web/20200824014259oe_/https://ichef.bbci.co.uk/images/ic/{width}/p08nk0j2.jpg" data-alt="Tim Spector leaning against a wall" data-reactid=".du2ie5hw12.3.$blocks-article-row-3.$zbwbn9q-3=11.1.1.0"></div></div><figcaption class="blocks-caption blocks-image__caption" data-reactid=".du2ie5hw12.3.$blocks-article-row-3.$zbwbn9q-3=11.1.2">Professor Tim Spector ©Alexandra Dao Photography</figcaption></figure></div></div><div class="blocks-article__grid-row blocks-article__grid-row--4" data-reactid=".du2ie5hw12.3.$blocks-article-row-4"><div id="zs4sxbk" class="blocks-article__grid-cell blocks-article__grid-cell--full-width" data-reactid=".du2ie5hw12.3.$blocks-article-row-4.$zs4sxbk-4=10"><figure class="blocks-block blocks-image-block" data-reactid=".du2ie5hw12.3.$blocks-article-row-4.$zs4sxbk-4=10.1"><h2 class="blocks-image__title" data-reactid=".du2ie5hw12.3.$blocks-article-row-4.$zs4sxbk-4=10.1.0">What is basal metabolic rate and can you change it?</h2><div class="blocks-image__wrapper" data-reactid=".du2ie5hw12.3.$blocks-article-row-4.$zs4sxbk-4=10.1.1"><div class="blocks-image" data-src="https://web.archive.org/web/20200824014259oe_/https://ichef.bbci.co.uk/images/ic/{width}/p08nk3lb.jpg" data-alt="A picture of scales with tape measure, fruit and weights nearby" data-reactid=".du2ie5hw12.3.$blocks-article-row-4.$zs4sxbk-4=10.1.1.0"></div></div></figure></div></div><div class="blocks-article__grid-row blocks-article__grid-row--5" data-reactid=".du2ie5hw12.3.$blocks-article-row-5"><div id="zncnm39" class="blocks-article__grid-cell blocks-article__grid-cell--full-width" data-reactid=".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10"><div class="blocks-block blocks-text-block" data-reactid=".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1"><span data-reactid=".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.0"></span><div class="blocks-text-block__text" data-reactid=".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1"><p class="blocks-text-block__paragraph" data-reactid=".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$0"><span data-reactid=".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$0.0">Basal metabolic rate (the rate at which we use energy while at rest to maintain vital functions such as breathing and keeping warm) is difficult to change. It’s caught up in our DNA, and we don’t yet know which genes impact it. It’s also difficult to measure. </span></p><p class="blocks-text-block__paragraph" data-reactid=".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$1"><span data-reactid=".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$1.$0">“There is no way to train our </span><span data-reactid=".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$1.$1">basal</span><span data-reactid=".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$1.$2"> metabolic </span><span data-reactid=".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$1.$3">rate</span><span data-reactid=".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$1.$4"> with food to do anything because, given our genes, our metabolism is going to set to whatever it’s set at”, explains Dr Yeo. </span></p><p class="blocks-text-block__paragraph" data-reactid=".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$2"><span data-reactid=".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$2.0">You can adapt your diet so you’re eating less of the foods that cause these spikes (which is what Dr Spector has focused on), but you can’t change your basal metabolic rate so that regardless of what you eat everything will speed up. </span></p><p class="blocks-text-block__paragraph" data-reactid=".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$3"><span data-reactid=".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$3.0">If you believe your metabolic rate is slow, this is where it gets a bit depressing…</span></p><p class="blocks-text-block__paragraph" data-reactid=".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$4"><span data-reactid=".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$4.0">If you think someone who has a BMI in the ‘healthy range’ must have a faster metabolism than someone categorised as being ‘overweight’ or ‘obese’, and that if you lose weight your metabolism might pick up too, you’re wrong.</span></p><p class="blocks-text-block__paragraph" data-reactid=".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$5"><span data-reactid=".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$5.0">It’s true that if you have a larger build, Dr Yeo says it’s likely your metabolism will be higher than someone who has a slimmer build because “you have a bigger engine to run”. But here’s the kicker: if you lose weight your metabolic rate decreases.</span></p><p class="blocks-text-block__paragraph" data-reactid=".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$6"><span data-reactid=".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$6.0">“So, I’m 75kg”, says Dr Yeo. “Imagine I have a twin who used to be 85kg, but has lost 10kg so is now 75kg too. But I’ve never been 85kg. I will always be able to eat more than my twin... because he’s defending a higher weight than me.</span></p><p class="blocks-text-block__paragraph" data-reactid=".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$7"><span data-reactid=".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$7.0">“As you lose this weight, your brain hates it”, he continues, “because it considers it as reducing your likelihood of surviving. Keep in mind we’ve evolved from a time when there was not enough food. So whenever you lose weight a red flag goes off in your brain and two things happen: it makes you more hungry and it lowers your metabolism slightly to try and drag your weight back up.”</span></p><p class="blocks-text-block__paragraph" data-reactid=".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$8"><span data-reactid=".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$8.0">Dr Yeo says this will be the case whether you’ve reduced your weight gently over time or via an extreme diet. </span></p><p class="blocks-text-block__paragraph" data-reactid=".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$9"><span data-reactid=".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$9.0">“When you lose weight it doesn’t drop by that much, but you have to remember that 8 to 10 to 20 calories every single day, that kind of difference is enough to make a difference in 5 kilos of body weight over a few years.”</span></p></div></div></div></div><div class="blocks-article__grid-row blocks-article__grid-row--6" data-reactid=".du2ie5hw12.3.$blocks-article-row-6"><div id="zmymdp3" class="blocks-article__grid-cell blocks-article__grid-cell--full-width" data-reactid=".du2ie5hw12.3.$blocks-article-row-6.$zmymdp3-6=10"><figure class="blocks-block blocks-image-block" data-reactid=".du2ie5hw12.3.$blocks-article-row-6.$zmymdp3-6=10.1"><h2 class="blocks-image__title" data-reactid=".du2ie5hw12.3.$blocks-article-row-6.$zmymdp3-6=10.1.0">Are there magical metabolism ingredients?</h2><div class="blocks-image__wrapper" data-reactid=".du2ie5hw12.3.$blocks-article-row-6.$zmymdp3-6=10.1.1"><div class="blocks-image" data-src="https://web.archive.org/web/20200824014259oe_/https://ichef.bbci.co.uk/images/ic/{width}/p08nk20t.jpg" data-alt="A cup of green tea" data-reactid=".du2ie5hw12.3.$blocks-article-row-6.$zmymdp3-6=10.1.1.0"></div></div><figcaption class="blocks-caption blocks-image__caption" data-reactid=".du2ie5hw12.3.$blocks-article-row-6.$zmymdp3-6=10.1.2">Are there ingredients that boost your metabolism?</figcaption></figure></div></div><div class="blocks-article__grid-row blocks-article__grid-row--7" data-reactid=".du2ie5hw12.3.$blocks-article-row-7"><div id="zhgh7yc" class="blocks-article__grid-cell blocks-article__grid-cell--full-width" data-reactid=".du2ie5hw12.3.$blocks-article-row-7.$zhgh7yc-7=10"><div class="blocks-block blocks-text-block" data-reactid=".du2ie5hw12.3.$blocks-article-row-7.$zhgh7yc-7=10.1"><span data-reactid=".du2ie5hw12.3.$blocks-article-row-7.$zhgh7yc-7=10.1.0"></span><div class="blocks-text-block__text" data-reactid=".du2ie5hw12.3.$blocks-article-row-7.$zhgh7yc-7=10.1.1"><p class="blocks-text-block__paragraph" data-reactid=".du2ie5hw12.3.$blocks-article-row-7.$zhgh7yc-7=10.1.1.$0"><span data-reactid=".du2ie5hw12.3.$blocks-article-row-7.$zhgh7yc-7=10.1.1.$0.0">Are there magical ingredients that could speed up your metabolism, such as green tea? Dr Giles Yeo, Principal Research Associate at Cambridge University’s Metabolic Research Laboratories and MRC Metabolic Diseases Unit, says “No. There are some things that do increase your metabolism, but they’re mostly poisons”. Oh, perhaps we’ll leave them then.</span></p><p class="blocks-text-block__paragraph" data-reactid=".du2ie5hw12.3.$blocks-article-row-7.$zhgh7yc-7=10.1.1.$1"><span data-reactid=".du2ie5hw12.3.$blocks-article-row-7.$zhgh7yc-7=10.1.1.$1.0">Professor Spector is used to debunking myths and checks off 23 of them in his new book Spoon Fed. He agrees that when it comes to those magic ingredients, there’s little evidence.</span></p></div></div></div></div><div class="blocks-article__grid-row blocks-article__grid-row--8" data-reactid=".du2ie5hw12.3.$blocks-article-row-8"><div id="zqs7kty" class="blocks-article__grid-cell blocks-article__grid-cell--seven-twelfths-width" data-reactid=".du2ie5hw12.3.$blocks-article-row-8.$zqs7kty-8=10"><div class="blocks-article__grid-cell__shadow-element" style="height:0;width:0;" data-reactid=".du2ie5hw12.3.$blocks-article-row-8.$zqs7kty-8=10.0"></div><div class="blocks-block blocks-text-block" data-reactid=".du2ie5hw12.3.$blocks-article-row-8.$zqs7kty-8=10.1"><h2 class="blocks-text-block__title" data-reactid=".du2ie5hw12.3.$blocks-article-row-8.$zqs7kty-8=10.1.0">But there is hope…</h2><div class="blocks-text-block__text" data-reactid=".du2ie5hw12.3.$blocks-article-row-8.$zqs7kty-8=10.1.1"><p class="blocks-text-block__paragraph" data-reactid=".du2ie5hw12.3.$blocks-article-row-8.$zqs7kty-8=10.1.1.$0"><span data-reactid=".du2ie5hw12.3.$blocks-article-row-8.$zqs7kty-8=10.1.1.$0.0">While you can’t speed up your basal metabolic rate with food, says Dr Yeo, there are a couple of ways you can change it: by increasing the amount of physical exercise you do and by building muscle mass. </span></p><p class="blocks-text-block__paragraph" data-reactid=".du2ie5hw12.3.$blocks-article-row-8.$zqs7kty-8=10.1.1.$1"><span data-reactid=".du2ie5hw12.3.$blocks-article-row-8.$zqs7kty-8=10.1.1.$1.0">“Anything from walking the dog to gardening and running is particularly effective at helping you maintain weight loss”, says the expert. He explains that doing exercise will temporarily raise your metabolic rate – basically for as long as you feel hot and sweaty afterwards. </span></p><p class="blocks-text-block__paragraph" data-reactid=".du2ie5hw12.3.$blocks-article-row-8.$zqs7kty-8=10.1.1.$2"><span data-reactid=".du2ie5hw12.3.$blocks-article-row-8.$zqs7kty-8=10.1.1.$2.0">As for increasing muscle mass, that becomes more critical as you get older and your metabolism drops further, although Dr Yeo highlights “I’m not suggesting we send Granny to the gym – just going for a gentle walk will help”.</span></p></div></div></div><div id="zmvxwnb" class="blocks-article__grid-cell blocks-article__grid-cell--five-twelfths-width " data-reactid=".du2ie5hw12.3.$blocks-article-row-8.$zmvxwnb-8=11"><figure class="blocks-block blocks-image-block" data-reactid=".du2ie5hw12.3.$blocks-article-row-8.$zmvxwnb-8=11.1"><span data-reactid=".du2ie5hw12.3.$blocks-article-row-8.$zmvxwnb-8=11.1.0"></span><div class="blocks-image__wrapper" data-reactid=".du2ie5hw12.3.$blocks-article-row-8.$zmvxwnb-8=11.1.1"><div class="blocks-image" data-src="https://web.archive.org/web/20200824014259oe_/https://ichef.bbci.co.uk/images/ic/{width}/p05llgrx.jpg" data-alt="A picture of Dr Giles Yeo" data-reactid=".du2ie5hw12.3.$blocks-article-row-8.$zmvxwnb-8=11.1.1.0"></div></div><figcaption class="blocks-caption blocks-image__caption" data-reactid=".du2ie5hw12.3.$blocks-article-row-8.$zmvxwnb-8=11.1.2">Dr Giles Yeo</figcaption></figure></div></div><div class="blocks-article__grid-row blocks-article__grid-row--9" data-reactid=".du2ie5hw12.3.$blocks-article-row-9"><div id="zhrp2v4" class="blocks-article__grid-cell blocks-article__grid-cell--full-width" data-reactid=".du2ie5hw12.3.$blocks-article-row-9.$zhrp2v4-9=10"><figure class="blocks-block blocks-image-block" data-reactid=".du2ie5hw12.3.$blocks-article-row-9.$zhrp2v4-9=10.1"><h2 class="blocks-image__title" data-reactid=".du2ie5hw12.3.$blocks-article-row-9.$zhrp2v4-9=10.1.0">So what exercises could you try?</h2><div class="blocks-image__wrapper" data-reactid=".du2ie5hw12.3.$blocks-article-row-9.$zhrp2v4-9=10.1.1"><div class="blocks-image" data-src="https://web.archive.org/web/20200824014259oe_/https://ichef.bbci.co.uk/images/ic/{width}/p08nk4yk.jpg" data-alt="A man and woman weight lift in a gym" data-reactid=".du2ie5hw12.3.$blocks-article-row-9.$zhrp2v4-9=10.1.1.0"></div></div></figure></div></div><div class="blocks-article__grid-row blocks-article__grid-row--10" data-reactid=".du2ie5hw12.3.$blocks-article-row-10"><div id="zbqrf82" class="blocks-article__grid-cell blocks-article__grid-cell--full-width" data-reactid=".du2ie5hw12.3.$blocks-article-row-10.$zbqrf82-10=10"><div class="blocks-block blocks-text-block" data-reactid=".du2ie5hw12.3.$blocks-article-row-10.$zbqrf82-10=10.1"><span data-reactid=".du2ie5hw12.3.$blocks-article-row-10.$zbqrf82-10=10.1.0"></span><div class="blocks-text-block__text" data-reactid=".du2ie5hw12.3.$blocks-article-row-10.$zbqrf82-10=10.1.1"><p class="blocks-text-block__paragraph" data-reactid=".du2ie5hw12.3.$blocks-article-row-10.$zbqrf82-10=10.1.1.$0"><span data-reactid=".du2ie5hw12.3.$blocks-article-row-10.$zbqrf82-10=10.1.1.$0.0">David Wiener, nutritionist and personal trainer, says “in general, men tend to have a faster metabolism than women because they have more muscle mass, heavier bones and less body fat. But these are all factors that can be improved through exercise.</span></p><p class="blocks-text-block__paragraph" data-reactid=".du2ie5hw12.3.$blocks-article-row-10.$zbqrf82-10=10.1.1.$1"><span data-reactid=".du2ie5hw12.3.$blocks-article-row-10.$zbqrf82-10=10.1.1.$1.0">“Aerobic exercise is the best way to burn calories. You should aim for 150 minutes of this type of exercise every week, or 15-30 minutes every day. This includes running, walking, swimming and cycling. Alternatively, strength training is also a great way to burn calories”. </span></p><p class="blocks-text-block__paragraph" data-reactid=".du2ie5hw12.3.$blocks-article-row-10.$zbqrf82-10=10.1.1.$2"><span data-reactid=".du2ie5hw12.3.$blocks-article-row-10.$zbqrf82-10=10.1.1.$2.0">So what strength training exercises is the fitness expert a fan of? Burpees, mountain climbers, squat jumps and planks, though as with all new diet and exercise plans, you should speak to an expert before you embark on them.</span></p></div></div></div></div></div><noscript data-reactid=".du2ie5hw12.4"></noscript></article></div></div></div><div class="secondary-promo__container"><div class="gel-wrap promo-collection__container"><h2 class="promo-collection__title article-secondary__title">More from BBC Food</h2><div class="gel-layout gel-layout--equal promo-collection article-secondary"><div class="gel-layout__item gel-1/1 gel-1/3@m"><a class="promo" href="https://web.archive.org/web/20200824014259/https://www.bbc.co.uk/food/articles/metabolism"><div class="gel-layout gel-layout--flush promo__text__wrap"><div class="promo__image-container gel-layout__item gel-5/12 gel-1/1@m"><div class="promo__image responsive-image-container__16/9"><img alt="" class="lazyload" 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Look, it’s complicated. But there is good news…\u003C\u002Fh2\u003E\u003Cdiv class=\"blocks-image__wrapper\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-0.$zscnm39-0=10.1.1\"\u003E\u003Cdiv class=\"blocks-image\" data-src=\"https:\u002F\u002Fichef.bbci.co.uk\u002Fimages\u002Fic\u002F{width}\u002Fp08nkbq2.jpg\" data-alt=\"\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-0.$zscnm39-0=10.1.1.0\"\u003E\u003C\u002Fdiv\u003E\u003C\u002Fdiv\u003E\u003C\u002Ffigure\u003E\u003C\u002Fdiv\u003E\u003C\u002Fdiv\u003E\u003Cdiv class=\"blocks-article__grid-row blocks-article__grid-row--1\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-1\"\u003E\u003Cdiv id=\"z3d3p4j\" class=\"blocks-article__grid-cell blocks-article__grid-cell--full-width\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-1.$z3d3p4j-1=10\"\u003E\u003Cdiv class=\"blocks-block blocks-text-block\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-1.$z3d3p4j-1=10.1\"\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-1.$z3d3p4j-1=10.1.0\"\u003E\u003C\u002Fspan\u003E\u003Cdiv class=\"blocks-text-block__text\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-1.$z3d3p4j-1=10.1.1\"\u003E\u003Cp class=\"blocks-text-block__paragraph\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-1.$z3d3p4j-1=10.1.1.$0\"\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-1.$z3d3p4j-1=10.1.1.$0.0\"\u003EIt’s the bugbear of many: you struggle to lose weight, but your friend cuts back for one day and the weight seemingly falls off or, even worse, they never have to moderate their diet to avoid weight gain. \u003C\u002Fspan\u003E\u003C\u002Fp\u003E\u003Cp class=\"blocks-text-block__paragraph\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-1.$z3d3p4j-1=10.1.1.$1\"\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-1.$z3d3p4j-1=10.1.1.$1.$0\"\u003ENow, new \u003C\u002Fspan\u003E\u003Ca href=\"https:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41591-020-0934-0\" class=\"blocks-text-block__link blocks-text-block__link--external-link\" data-bbc-container=\"blocks-text-block\" data-bbc-metadata=\"{"EXT":true}\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-1.$z3d3p4j-1=10.1.1.$1.$1\"\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-1.$z3d3p4j-1=10.1.1.$1.$1.0\"\u003Eresearch\u003C\u002Fspan\u003E\u003C\u002Fa\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-1.$z3d3p4j-1=10.1.1.$1.$2\"\u003E indicates that as individuals we metabolise some foods more quickly than others. This implies that if we knew more about how different foods affect our bodies, we could identify and avoid or cut back on our personal triggers for blood sugar spikes and excess energy. Sounds great right? But could reducing how much we eat of these foods affect the speed at which we lose weight as individuals?\u003C\u002Fspan\u003E\u003C\u002Fp\u003E\u003Cp class=\"blocks-text-block__paragraph\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-1.$z3d3p4j-1=10.1.1.$2\"\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-1.$z3d3p4j-1=10.1.1.$2.0\"\u003EWe spoke to Professor Tim Spector, Dr Giles Yeo and nutritionist and personal trainer David Wiener to decipher the science.\u003C\u002Fspan\u003E\u003C\u002Fp\u003E\u003C\u002Fdiv\u003E\u003C\u002Fdiv\u003E\u003C\u002Fdiv\u003E\u003C\u002Fdiv\u003E\u003Cdiv class=\"blocks-article__grid-row blocks-article__grid-row--2\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-2\"\u003E\u003Cdiv id=\"z7s7kty\" class=\"blocks-article__grid-cell blocks-article__grid-cell--full-width\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-2.$z7s7kty-2=10\"\u003E\u003Cdiv class=\"blocks-block blocks-text-block\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-2.$z7s7kty-2=10.1\"\u003E\u003Ch2 class=\"blocks-text-block__title\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-2.$z7s7kty-2=10.1.0\"\u003EWhat’s the science?\u003C\u002Fh2\u003E\u003Cdiv class=\"blocks-text-block__text\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-2.$z7s7kty-2=10.1.1\"\u003E\u003Cp class=\"blocks-text-block__paragraph\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-2.$z7s7kty-2=10.1.1.$0\"\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-2.$z7s7kty-2=10.1.1.$0.0\"\u003EHigh levels of sugars or fats in the bloodstream can be caused by a sudden high intake of these nutrients, for instance when you eat a large piece of cake, or you have an inefficient (slow) metabolic response to eating a smaller piece of cake. This spike is associated with energy that is excess to requirements and therefore stored as fat. \u003C\u002Fspan\u003E\u003C\u002Fp\u003E\u003Cp class=\"blocks-text-block__paragraph\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-2.$z7s7kty-2=10.1.1.$1\"\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-2.$z7s7kty-2=10.1.1.$1.0\"\u003EProfessor Spector’s study saw 1,100 participants (a mixture of identical and non-identical twins and unrelated individuals) fast overnight, then spend the following day in hospital. While there, their bloods were taken every half hour and they were given identical foods and portions. Their body’s response to the food was analysed. When they returned home for two weeks, they were given set foods and meals to eat, and they also ate their own food. Their responses were logged via wearable technology (glucose monitors) and an app, with further blood prick samples submitted. Their microbiome (gut bacteria) was also collected at the beginning and end of the study. \u003C\u002Fspan\u003E\u003C\u002Fp\u003E\u003Cp class=\"blocks-text-block__paragraph\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-2.$z7s7kty-2=10.1.1.$2\"\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-2.$z7s7kty-2=10.1.1.$2.0\"\u003EThe result? “The metabolic response to food was so different between people in identical conditions. So, if they were given an identical muffin, for example, how much their sugar, insulin and blood fats went up varied about eight-fold between people. There was no average response. Even identical twins having the same meal at the same time had different responses”. \u003C\u002Fspan\u003E\u003C\u002Fp\u003E\u003Cp class=\"blocks-text-block__paragraph\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-2.$z7s7kty-2=10.1.1.$3\"\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-2.$z7s7kty-2=10.1.1.$3.0\"\u003ECombining all the data, they were able to create an algorithm and predict, with a 76 percent accuracy, how each participant would respond to any food.\u003C\u002Fspan\u003E\u003C\u002Fp\u003E\u003C\u002Fdiv\u003E\u003C\u002Fdiv\u003E\u003C\u002Fdiv\u003E\u003C\u002Fdiv\u003E\u003Cdiv class=\"blocks-article__grid-row blocks-article__grid-row--3\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-3\"\u003E\u003Cdiv id=\"z2f28hv\" class=\"blocks-article__grid-cell blocks-article__grid-cell--seven-twelfths-width\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-3.$z2f28hv-3=10\"\u003E\u003Cdiv class=\"blocks-article__grid-cell__shadow-element\" style=\"height:0;width:0;\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-3.$z2f28hv-3=10.0\"\u003E\u003C\u002Fdiv\u003E\u003Cdiv class=\"blocks-block blocks-text-block\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-3.$z2f28hv-3=10.1\"\u003E\u003Ch2 class=\"blocks-text-block__title\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-3.$z2f28hv-3=10.1.0\"\u003EWhat can you change about how you metabolise food?\u003C\u002Fh2\u003E\u003Cdiv class=\"blocks-text-block__text\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-3.$z2f28hv-3=10.1.1\"\u003E\u003Cp class=\"blocks-text-block__paragraph\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-3.$z2f28hv-3=10.1.1.$0\"\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-3.$z2f28hv-3=10.1.1.$0.0\"\u003EIn Professor Spector’s study, while one person had a fat or sugar spike after eating one type of food, another got the same response from a different type. So when you learn a friend lost two stone on a diet yet you struggled to lose a few pounds, it may be because they cut out ingredients that caused the spike for them but you’re still eating the ones that cause it for you – you’re metabolising the same food very differently. The time people ate also affected their response.\u003C\u002Fspan\u003E\u003C\u002Fp\u003E\u003Cp class=\"blocks-text-block__paragraph\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-3.$z2f28hv-3=10.1.1.$1\"\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-3.$z2f28hv-3=10.1.1.$1.0\"\u003ESo in theory, if you knew what was causing your spike you could reduce your consumption of those ingredients and eat at times that best support the burning of your fuel efficiently. Of course, it’s important to make sure you’re getting all the nutrients you need from alternative foods, too.\u003C\u002Fspan\u003E\u003C\u002Fp\u003E\u003Cp class=\"blocks-text-block__paragraph\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-3.$z2f28hv-3=10.1.1.$2\"\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-3.$z2f28hv-3=10.1.1.$2.0\"\u003EIs Professor Spector confident in time we’ll be able to manipulate the speed at which we metabolise food via diet? “Yes, I think that we can already do it to some extent now”.\u003C\u002Fspan\u003E\u003C\u002Fp\u003E\u003C\u002Fdiv\u003E\u003C\u002Fdiv\u003E\u003C\u002Fdiv\u003E\u003Cdiv id=\"zbwbn9q\" class=\"blocks-article__grid-cell blocks-article__grid-cell--five-twelfths-width \" data-reactid=\".du2ie5hw12.3.$blocks-article-row-3.$zbwbn9q-3=11\"\u003E\u003Cfigure class=\"blocks-block blocks-image-block\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-3.$zbwbn9q-3=11.1\"\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-3.$zbwbn9q-3=11.1.0\"\u003E\u003C\u002Fspan\u003E\u003Cdiv class=\"blocks-image__wrapper\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-3.$zbwbn9q-3=11.1.1\"\u003E\u003Cdiv class=\"blocks-image\" data-src=\"https:\u002F\u002Fichef.bbci.co.uk\u002Fimages\u002Fic\u002F{width}\u002Fp08nk0j2.jpg\" data-alt=\"Tim Spector leaning against a wall\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-3.$zbwbn9q-3=11.1.1.0\"\u003E\u003C\u002Fdiv\u003E\u003C\u002Fdiv\u003E\u003Cfigcaption class=\"blocks-caption blocks-image__caption\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-3.$zbwbn9q-3=11.1.2\"\u003EProfessor Tim Spector ©Alexandra Dao Photography\u003C\u002Ffigcaption\u003E\u003C\u002Ffigure\u003E\u003C\u002Fdiv\u003E\u003C\u002Fdiv\u003E\u003Cdiv class=\"blocks-article__grid-row blocks-article__grid-row--4\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-4\"\u003E\u003Cdiv id=\"zs4sxbk\" class=\"blocks-article__grid-cell blocks-article__grid-cell--full-width\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-4.$zs4sxbk-4=10\"\u003E\u003Cfigure class=\"blocks-block blocks-image-block\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-4.$zs4sxbk-4=10.1\"\u003E\u003Ch2 class=\"blocks-image__title\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-4.$zs4sxbk-4=10.1.0\"\u003EWhat is basal metabolic rate and can you change it?\u003C\u002Fh2\u003E\u003Cdiv class=\"blocks-image__wrapper\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-4.$zs4sxbk-4=10.1.1\"\u003E\u003Cdiv class=\"blocks-image\" data-src=\"https:\u002F\u002Fichef.bbci.co.uk\u002Fimages\u002Fic\u002F{width}\u002Fp08nk3lb.jpg\" data-alt=\"A picture of scales with tape measure, fruit and weights nearby\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-4.$zs4sxbk-4=10.1.1.0\"\u003E\u003C\u002Fdiv\u003E\u003C\u002Fdiv\u003E\u003C\u002Ffigure\u003E\u003C\u002Fdiv\u003E\u003C\u002Fdiv\u003E\u003Cdiv class=\"blocks-article__grid-row blocks-article__grid-row--5\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-5\"\u003E\u003Cdiv id=\"zncnm39\" class=\"blocks-article__grid-cell blocks-article__grid-cell--full-width\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10\"\u003E\u003Cdiv class=\"blocks-block blocks-text-block\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1\"\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.0\"\u003E\u003C\u002Fspan\u003E\u003Cdiv class=\"blocks-text-block__text\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1\"\u003E\u003Cp class=\"blocks-text-block__paragraph\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$0\"\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$0.0\"\u003EBasal metabolic rate (the rate at which we use energy while at rest to maintain vital functions such as breathing and keeping warm) is difficult to change. It’s caught up in our DNA, and we don’t yet know which genes impact it. It’s also difficult to measure. \u003C\u002Fspan\u003E\u003C\u002Fp\u003E\u003Cp class=\"blocks-text-block__paragraph\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$1\"\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$1.$0\"\u003E“There is no way to train our \u003C\u002Fspan\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$1.$1\"\u003Ebasal\u003C\u002Fspan\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$1.$2\"\u003E metabolic \u003C\u002Fspan\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$1.$3\"\u003Erate\u003C\u002Fspan\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$1.$4\"\u003E with food to do anything because, given our genes, our metabolism is going to set to whatever it’s set at”, explains Dr Yeo. \u003C\u002Fspan\u003E\u003C\u002Fp\u003E\u003Cp class=\"blocks-text-block__paragraph\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$2\"\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$2.0\"\u003EYou can adapt your diet so you’re eating less of the foods that cause these spikes (which is what Dr Spector has focused on), but you can’t change your basal metabolic rate so that regardless of what you eat everything will speed up. \u003C\u002Fspan\u003E\u003C\u002Fp\u003E\u003Cp class=\"blocks-text-block__paragraph\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$3\"\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$3.0\"\u003EIf you believe your metabolic rate is slow, this is where it gets a bit depressing…\u003C\u002Fspan\u003E\u003C\u002Fp\u003E\u003Cp class=\"blocks-text-block__paragraph\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$4\"\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$4.0\"\u003EIf you think someone who has a BMI in the ‘healthy range’ must have a faster metabolism than someone categorised as being ‘overweight’ or ‘obese’, and that if you lose weight your metabolism might pick up too, you’re wrong.\u003C\u002Fspan\u003E\u003C\u002Fp\u003E\u003Cp class=\"blocks-text-block__paragraph\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$5\"\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$5.0\"\u003EIt’s true that if you have a larger build, Dr Yeo says it’s likely your metabolism will be higher than someone who has a slimmer build because “you have a bigger engine to run”. But here’s the kicker: if you lose weight your metabolic rate decreases.\u003C\u002Fspan\u003E\u003C\u002Fp\u003E\u003Cp class=\"blocks-text-block__paragraph\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$6\"\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$6.0\"\u003E“So, I’m 75kg”, says Dr Yeo. “Imagine I have a twin who used to be 85kg, but has lost 10kg so is now 75kg too. But I’ve never been 85kg. I will always be able to eat more than my twin... because he’s defending a higher weight than me.\u003C\u002Fspan\u003E\u003C\u002Fp\u003E\u003Cp class=\"blocks-text-block__paragraph\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$7\"\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$7.0\"\u003E“As you lose this weight, your brain hates it”, he continues, “because it considers it as reducing your likelihood of surviving. Keep in mind we’ve evolved from a time when there was not enough food. So whenever you lose weight a red flag goes off in your brain and two things happen: it makes you more hungry and it lowers your metabolism slightly to try and drag your weight back up.”\u003C\u002Fspan\u003E\u003C\u002Fp\u003E\u003Cp class=\"blocks-text-block__paragraph\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$8\"\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$8.0\"\u003EDr Yeo says this will be the case whether you’ve reduced your weight gently over time or via an extreme diet. \u003C\u002Fspan\u003E\u003C\u002Fp\u003E\u003Cp class=\"blocks-text-block__paragraph\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$9\"\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-5.$zncnm39-5=10.1.1.$9.0\"\u003E“When you lose weight it doesn’t drop by that much, but you have to remember that 8 to 10 to 20 calories every single day, that kind of difference is enough to make a difference in 5 kilos of body weight over a few years.”\u003C\u002Fspan\u003E\u003C\u002Fp\u003E\u003C\u002Fdiv\u003E\u003C\u002Fdiv\u003E\u003C\u002Fdiv\u003E\u003C\u002Fdiv\u003E\u003Cdiv class=\"blocks-article__grid-row blocks-article__grid-row--6\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-6\"\u003E\u003Cdiv id=\"zmymdp3\" class=\"blocks-article__grid-cell blocks-article__grid-cell--full-width\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-6.$zmymdp3-6=10\"\u003E\u003Cfigure class=\"blocks-block blocks-image-block\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-6.$zmymdp3-6=10.1\"\u003E\u003Ch2 class=\"blocks-image__title\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-6.$zmymdp3-6=10.1.0\"\u003EAre there magical metabolism ingredients?\u003C\u002Fh2\u003E\u003Cdiv class=\"blocks-image__wrapper\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-6.$zmymdp3-6=10.1.1\"\u003E\u003Cdiv class=\"blocks-image\" data-src=\"https:\u002F\u002Fichef.bbci.co.uk\u002Fimages\u002Fic\u002F{width}\u002Fp08nk20t.jpg\" data-alt=\"A cup of green tea\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-6.$zmymdp3-6=10.1.1.0\"\u003E\u003C\u002Fdiv\u003E\u003C\u002Fdiv\u003E\u003Cfigcaption class=\"blocks-caption blocks-image__caption\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-6.$zmymdp3-6=10.1.2\"\u003EAre there ingredients that boost your metabolism?\u003C\u002Ffigcaption\u003E\u003C\u002Ffigure\u003E\u003C\u002Fdiv\u003E\u003C\u002Fdiv\u003E\u003Cdiv class=\"blocks-article__grid-row blocks-article__grid-row--7\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-7\"\u003E\u003Cdiv id=\"zhgh7yc\" class=\"blocks-article__grid-cell blocks-article__grid-cell--full-width\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-7.$zhgh7yc-7=10\"\u003E\u003Cdiv class=\"blocks-block blocks-text-block\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-7.$zhgh7yc-7=10.1\"\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-7.$zhgh7yc-7=10.1.0\"\u003E\u003C\u002Fspan\u003E\u003Cdiv class=\"blocks-text-block__text\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-7.$zhgh7yc-7=10.1.1\"\u003E\u003Cp class=\"blocks-text-block__paragraph\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-7.$zhgh7yc-7=10.1.1.$0\"\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-7.$zhgh7yc-7=10.1.1.$0.0\"\u003EAre there magical ingredients that could speed up your metabolism, such as green tea? Dr Giles Yeo, Principal Research Associate at Cambridge University’s Metabolic Research Laboratories and MRC Metabolic Diseases Unit, says “No. There are some things that do increase your metabolism, but they’re mostly poisons”. Oh, perhaps we’ll leave them then.\u003C\u002Fspan\u003E\u003C\u002Fp\u003E\u003Cp class=\"blocks-text-block__paragraph\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-7.$zhgh7yc-7=10.1.1.$1\"\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-7.$zhgh7yc-7=10.1.1.$1.0\"\u003EProfessor Spector is used to debunking myths and checks off 23 of them in his new book Spoon Fed. He agrees that when it comes to those magic ingredients, there’s little evidence.\u003C\u002Fspan\u003E\u003C\u002Fp\u003E\u003C\u002Fdiv\u003E\u003C\u002Fdiv\u003E\u003C\u002Fdiv\u003E\u003C\u002Fdiv\u003E\u003Cdiv class=\"blocks-article__grid-row blocks-article__grid-row--8\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-8\"\u003E\u003Cdiv id=\"zqs7kty\" class=\"blocks-article__grid-cell blocks-article__grid-cell--seven-twelfths-width\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-8.$zqs7kty-8=10\"\u003E\u003Cdiv class=\"blocks-article__grid-cell__shadow-element\" style=\"height:0;width:0;\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-8.$zqs7kty-8=10.0\"\u003E\u003C\u002Fdiv\u003E\u003Cdiv class=\"blocks-block blocks-text-block\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-8.$zqs7kty-8=10.1\"\u003E\u003Ch2 class=\"blocks-text-block__title\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-8.$zqs7kty-8=10.1.0\"\u003EBut there is hope…\u003C\u002Fh2\u003E\u003Cdiv class=\"blocks-text-block__text\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-8.$zqs7kty-8=10.1.1\"\u003E\u003Cp class=\"blocks-text-block__paragraph\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-8.$zqs7kty-8=10.1.1.$0\"\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-8.$zqs7kty-8=10.1.1.$0.0\"\u003EWhile you can’t speed up your basal metabolic rate with food, says Dr Yeo, there are a couple of ways you can change it: by increasing the amount of physical exercise you do and by building muscle mass. \u003C\u002Fspan\u003E\u003C\u002Fp\u003E\u003Cp class=\"blocks-text-block__paragraph\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-8.$zqs7kty-8=10.1.1.$1\"\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-8.$zqs7kty-8=10.1.1.$1.0\"\u003E“Anything from walking the dog to gardening and running is particularly effective at helping you maintain weight loss”, says the expert. He explains that doing exercise will temporarily raise your metabolic rate – basically for as long as you feel hot and sweaty afterwards. \u003C\u002Fspan\u003E\u003C\u002Fp\u003E\u003Cp class=\"blocks-text-block__paragraph\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-8.$zqs7kty-8=10.1.1.$2\"\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-8.$zqs7kty-8=10.1.1.$2.0\"\u003EAs for increasing muscle mass, that becomes more critical as you get older and your metabolism drops further, although Dr Yeo highlights “I’m not suggesting we send Granny to the gym – just going for a gentle walk will help”.\u003C\u002Fspan\u003E\u003C\u002Fp\u003E\u003C\u002Fdiv\u003E\u003C\u002Fdiv\u003E\u003C\u002Fdiv\u003E\u003Cdiv id=\"zmvxwnb\" class=\"blocks-article__grid-cell blocks-article__grid-cell--five-twelfths-width \" data-reactid=\".du2ie5hw12.3.$blocks-article-row-8.$zmvxwnb-8=11\"\u003E\u003Cfigure class=\"blocks-block blocks-image-block\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-8.$zmvxwnb-8=11.1\"\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-8.$zmvxwnb-8=11.1.0\"\u003E\u003C\u002Fspan\u003E\u003Cdiv class=\"blocks-image__wrapper\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-8.$zmvxwnb-8=11.1.1\"\u003E\u003Cdiv class=\"blocks-image\" data-src=\"https:\u002F\u002Fichef.bbci.co.uk\u002Fimages\u002Fic\u002F{width}\u002Fp05llgrx.jpg\" data-alt=\"A picture of Dr Giles Yeo\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-8.$zmvxwnb-8=11.1.1.0\"\u003E\u003C\u002Fdiv\u003E\u003C\u002Fdiv\u003E\u003Cfigcaption class=\"blocks-caption blocks-image__caption\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-8.$zmvxwnb-8=11.1.2\"\u003EDr Giles Yeo\u003C\u002Ffigcaption\u003E\u003C\u002Ffigure\u003E\u003C\u002Fdiv\u003E\u003C\u002Fdiv\u003E\u003Cdiv class=\"blocks-article__grid-row blocks-article__grid-row--9\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-9\"\u003E\u003Cdiv id=\"zhrp2v4\" class=\"blocks-article__grid-cell blocks-article__grid-cell--full-width\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-9.$zhrp2v4-9=10\"\u003E\u003Cfigure class=\"blocks-block blocks-image-block\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-9.$zhrp2v4-9=10.1\"\u003E\u003Ch2 class=\"blocks-image__title\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-9.$zhrp2v4-9=10.1.0\"\u003ESo what exercises could you try?\u003C\u002Fh2\u003E\u003Cdiv class=\"blocks-image__wrapper\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-9.$zhrp2v4-9=10.1.1\"\u003E\u003Cdiv class=\"blocks-image\" data-src=\"https:\u002F\u002Fichef.bbci.co.uk\u002Fimages\u002Fic\u002F{width}\u002Fp08nk4yk.jpg\" data-alt=\"A man and woman weight lift in a gym\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-9.$zhrp2v4-9=10.1.1.0\"\u003E\u003C\u002Fdiv\u003E\u003C\u002Fdiv\u003E\u003C\u002Ffigure\u003E\u003C\u002Fdiv\u003E\u003C\u002Fdiv\u003E\u003Cdiv class=\"blocks-article__grid-row blocks-article__grid-row--10\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-10\"\u003E\u003Cdiv id=\"zbqrf82\" class=\"blocks-article__grid-cell blocks-article__grid-cell--full-width\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-10.$zbqrf82-10=10\"\u003E\u003Cdiv class=\"blocks-block blocks-text-block\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-10.$zbqrf82-10=10.1\"\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-10.$zbqrf82-10=10.1.0\"\u003E\u003C\u002Fspan\u003E\u003Cdiv class=\"blocks-text-block__text\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-10.$zbqrf82-10=10.1.1\"\u003E\u003Cp class=\"blocks-text-block__paragraph\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-10.$zbqrf82-10=10.1.1.$0\"\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-10.$zbqrf82-10=10.1.1.$0.0\"\u003EDavid Wiener, nutritionist and personal trainer, says “in general, men tend to have a faster metabolism than women because they have more muscle mass, heavier bones and less body fat. But these are all factors that can be improved through exercise.\u003C\u002Fspan\u003E\u003C\u002Fp\u003E\u003Cp class=\"blocks-text-block__paragraph\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-10.$zbqrf82-10=10.1.1.$1\"\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-10.$zbqrf82-10=10.1.1.$1.0\"\u003E“Aerobic exercise is the best way to burn calories. You should aim for 150 minutes of this type of exercise every week, or 15-30 minutes every day. This includes running, walking, swimming and cycling. Alternatively, strength training is also a great way to burn calories”. \u003C\u002Fspan\u003E\u003C\u002Fp\u003E\u003Cp class=\"blocks-text-block__paragraph\" data-reactid=\".du2ie5hw12.3.$blocks-article-row-10.$zbqrf82-10=10.1.1.$2\"\u003E\u003Cspan data-reactid=\".du2ie5hw12.3.$blocks-article-row-10.$zbqrf82-10=10.1.1.$2.0\"\u003ESo what strength training exercises is the fitness expert a fan of? Burpees, mountain climbers, squat jumps and planks, though as with all new diet and exercise plans, you should speak to an expert before you embark on them.\u003C\u002Fspan\u003E\u003C\u002Fp\u003E\u003C\u002Fdiv\u003E\u003C\u002Fdiv\u003E\u003C\u002Fdiv\u003E\u003C\u002Fdiv\u003E\u003C\u002Fdiv\u003E\u003Cnoscript 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0!==r.ctx&&r.ctx&&r.autoUnlock&&r._unlockAudio(),r._howls.push(t),t._autoplay&&t._queue.push({event:"play",action:function(){t.play()}}),t._preload&&"none"!==t._preload&&t.load(),t},load:function(){var e=this,t=null;if(r.noAudio)return void e._emit("loaderror",null,"No audio support.");"string"==typeof e._src&&(e._src=[e._src]);for(var n=0;n<e._src.length;n++){var o,a;if(e._format&&e._format[n])o=e._format[n];else{if("string"!=typeof(a=e._src[n])){e._emit("loaderror",null,"Non-string found in selected audio sources - ignoring.");continue}o=/^data:audio\/([^;,]+);/i.exec(a),o||(o=/\.([^.]+)$/.exec(a.split("?",1)[0])),o&&(o=o[1].toLowerCase())}if(o||console.warn('No file extension was found. Consider using the "format" property or specify an extension.'),o&&r.codecs(o)){t=e._src[n];break}}return t?(e._src=t,e._state="loading","https:"===window.location.protocol&&"http:"===t.slice(0,5)&&(e._html5=!0,e._webAudio=!1),new u(e),e._webAudio&&c(e),e):void e._emit("loaderror",null,"No codec support for selected audio sources.")},play:function(e,t){var n=this,o=null;if("number"==typeof e)o=e,e=null;else{if("string"==typeof e&&"loaded"===n._state&&!n._sprite[e])return null;if(void 0===e&&(e="__default",!n._playLock)){for(var a=0,i=0;i<n._sounds.length;i++)n._sounds[i]._paused&&!n._sounds[i]._ended&&(a++,o=n._sounds[i]._id);1===a?e=null:o=null}}var s=o?n._soundById(o):n._inactiveSound();if(!s)return null;if(o&&!e&&(e=s._sprite||"__default"),"loaded"!==n._state){s._sprite=e,s._ended=!1;var u=s._id;return n._queue.push({event:"play",action:function(){n.play(u)}}),u}if(o&&!s._paused)return t||n._loadQueue("play"),s._id;n._webAudio&&r._autoResume();var l=Math.max(0,s._seek>0?s._seek:n._sprite[e][0]/1e3),c=Math.max(0,(n._sprite[e][0]+n._sprite[e][1])/1e3-l),d=1e3*c/Math.abs(s._rate),p=n._sprite[e][0]/1e3,_=(n._sprite[e][0]+n._sprite[e][1])/1e3;s._sprite=e,s._ended=!1;var f=function(){s._paused=!1,s._seek=l,s._start=p,s._stop=_,s._loop=!(!s._loop&&!n._sprite[e][2])};if(l>=_)return void n._ended(s);var m=s._node;if(n._webAudio){var h=function(){n._playLock=!1,f(),n._refreshBuffer(s);var e=s._muted||n._muted?0:s._volume;m.gain.setValueAtTime(e,r.ctx.currentTime),s._playStart=r.ctx.currentTime,void 0===m.bufferSource.start?s._loop?m.bufferSource.noteGrainOn(0,l,86400):m.bufferSource.noteGrainOn(0,l,c):s._loop?m.bufferSource.start(0,l,86400):m.bufferSource.start(0,l,c),d!==1/0&&(n._endTimers[s._id]=setTimeout(n._ended.bind(n,s),d)),t||setTimeout(function(){n._emit("play",s._id),n._loadQueue()},0)};"running"===r.state&&"interrupted"!==r.ctx.state?h():(n._playLock=!0,n.once("resume",h),n._clearTimer(s._id))}else{var v=function(){m.currentTime=l,m.muted=s._muted||n._muted||r._muted||m.muted,m.volume=s._volume*r.volume(),m.playbackRate=s._rate;try{var o=m.play();if(o&&"undefined"!=typeof Promise&&(o instanceof Promise||"function"==typeof o.then)?(n._playLock=!0,f(),o.then(function(){n._playLock=!1,m._unlocked=!0,t||(n._emit("play",s._id),n._loadQueue())}).catch(function(){n._playLock=!1,n._emit("playerror",s._id,"Playback was unable to start. This is most commonly an issue on mobile devices and Chrome where playback was not within a user interaction."),s._ended=!0,s._paused=!0})):t||(n._playLock=!1,f(),n._emit("play",s._id),n._loadQueue()),m.playbackRate=s._rate,m.paused)return void n._emit("playerror",s._id,"Playback was unable to start. This is most commonly an issue on mobile devices and Chrome where playback was not within a user interaction.");"__default"!==e||s._loop?n._endTimers[s._id]=setTimeout(n._ended.bind(n,s),d):(n._endTimers[s._id]=function(){n._ended(s),m.removeEventListener("ended",n._endTimers[s._id],!1)},m.addEventListener("ended",n._endTimers[s._id],!1))}catch(e){n._emit("playerror",s._id,e)}};"data:audio/wav;base64,UklGRigAAABXQVZFZm10IBIAAAABAAEARKwAAIhYAQACABAAAABkYXRhAgAAAAEA"===m.src&&(m.src=n._src,m.load());var y=window&&window.ejecta||!m.readyState&&r._navigator.isCocoonJS;if(m.readyState>=3||y)v();else{n._playLock=!0;var g=function e(){v(),m.removeEventListener(r._canPlayEvent,e,!1)};m.addEventListener(r._canPlayEvent,g,!1),n._clearTimer(s._id)}}return s._id},pause:function(e){var t=this;if("loaded"!==t._state||t._playLock)return t._queue.push({event:"pause",action:function(){t.pause(e)}}),t;for(var n=t._getSoundIds(e),o=0;o<n.length;o++){t._clearTimer(n[o]);var r=t._soundById(n[o]);if(r&&!r._paused&&(r._seek=t.seek(n[o]),r._rateSeek=0,r._paused=!0,t._stopFade(n[o]),r._node))if(t._webAudio){if(!r._node.bufferSource)continue;void 0===r._node.bufferSource.stop?r._node.bufferSource.noteOff(0):r._node.bufferSource.stop(0),t._cleanBuffer(r._node)}else isNaN(r._node.duration)&&r._node.duration!==1/0||r._node.pause();arguments[1]||t._emit("pause",r?r._id:null)}return t},stop:function(e,t){var n=this;if("loaded"!==n._state||n._playLock)return n._queue.push({event:"stop",action:function(){n.stop(e)}}),n;for(var o=n._getSoundIds(e),r=0;r<o.length;r++){n._clearTimer(o[r]);var a=n._soundById(o[r]);a&&(a._seek=a._start||0,a._rateSeek=0,a._paused=!0,a._ended=!0,n._stopFade(o[r]),a._node&&(n._webAudio?a._node.bufferSource&&(void 0===a._node.bufferSource.stop?a._node.bufferSource.noteOff(0):a._node.bufferSource.stop(0),n._cleanBuffer(a._node)):isNaN(a._node.duration)&&a._node.duration!==1/0||(a._node.currentTime=a._start||0,a._node.pause(),a._node.duration===1/0&&n._clearSound(a._node))),t||n._emit("stop",a._id))}return n},mute:function(e,t){var n=this;if("loaded"!==n._state||n._playLock)return n._queue.push({event:"mute",action:function(){n.mute(e,t)}}),n;if(void 0===t){if("boolean"!=typeof e)return n._muted;n._muted=e}for(var o=n._getSoundIds(t),a=0;a<o.length;a++){var i=n._soundById(o[a]);i&&(i._muted=e,i._interval&&n._stopFade(i._id),n._webAudio&&i._node?i._node.gain.setValueAtTime(e?0:i._volume,r.ctx.currentTime):i._node&&(i._node.muted=!!r._muted||e),n._emit("mute",i._id))}return n},volume:function(){var e,t,n=this,o=arguments;if(0===o.length)return n._volume;if(1===o.length||2===o.length&&void 0===o[1]){n._getSoundIds().indexOf(o[0])>=0?t=parseInt(o[0],10):e=parseFloat(o[0])}else o.length>=2&&(e=parseFloat(o[0]),t=parseInt(o[1],10));var a;if(!(void 0!==e&&e>=0&&e<=1))return a=t?n._soundById(t):n._sounds[0],a?a._volume:0;if("loaded"!==n._state||n._playLock)return n._queue.push({event:"volume",action:function(){n.volume.apply(n,o)}}),n;void 0===t&&(n._volume=e),t=n._getSoundIds(t);for(var i=0;i<t.length;i++)(a=n._soundById(t[i]))&&(a._volume=e,o[2]||n._stopFade(t[i]),n._webAudio&&a._node&&!a._muted?a._node.gain.setValueAtTime(e,r.ctx.currentTime):a._node&&!a._muted&&(a._node.volume=e*r.volume()),n._emit("volume",a._id));return n},fade:function(e,t,n,o){var a=this;if("loaded"!==a._state||a._playLock)return a._queue.push({event:"fade",action:function(){a.fade(e,t,n,o)}}),a;e=Math.min(Math.max(0,parseFloat(e)),1),t=Math.min(Math.max(0,parseFloat(t)),1),n=parseFloat(n),a.volume(e,o);for(var i=a._getSoundIds(o),s=0;s<i.length;s++){var u=a._soundById(i[s]);if(u){if(o||a._stopFade(i[s]),a._webAudio&&!u._muted){var l=r.ctx.currentTime,c=l+n/1e3;u._volume=e,u._node.gain.setValueAtTime(e,l),u._node.gain.linearRampToValueAtTime(t,c)}a._startFadeInterval(u,e,t,n,i[s],void 0===o)}}return a},_startFadeInterval:function(e,t,n,o,r,a){var i=this,s=t,u=n-t,l=Math.abs(u/.01),c=Math.max(4,l>0?o/l:o),d=Date.now();e._fadeTo=n,e._interval=setInterval(function(){var r=(Date.now()-d)/o;d=Date.now(),s+=u*r,s=u<0?Math.max(n,s):Math.min(n,s),s=Math.round(100*s)/100,i._webAudio?e._volume=s:i.volume(s,e._id,!0),a&&(i._volume=s),(n<t&&s<=n||n>t&&s>=n)&&(clearInterval(e._interval),e._interval=null,e._fadeTo=null,i.volume(n,e._id),i._emit("fade",e._id))},c)},_stopFade:function(e){var t=this,n=t._soundById(e);return n&&n._interval&&(t._webAudio&&n._node.gain.cancelScheduledValues(r.ctx.currentTime),clearInterval(n._interval),n._interval=null,t.volume(n._fadeTo,e),n._fadeTo=null,t._emit("fade",e)),t},loop:function(){var e,t,n,o=this,r=arguments;if(0===r.length)return o._loop;if(1===r.length){if("boolean"!=typeof r[0])return!!(n=o._soundById(parseInt(r[0],10)))&&n._loop;e=r[0],o._loop=e}else 2===r.length&&(e=r[0],t=parseInt(r[1],10));for(var a=o._getSoundIds(t),i=0;i<a.length;i++)(n=o._soundById(a[i]))&&(n._loop=e,o._webAudio&&n._node&&n._node.bufferSource&&(n._node.bufferSource.loop=e,e&&(n._node.bufferSource.loopStart=n._start||0,n._node.bufferSource.loopEnd=n._stop)));return o},rate:function(){var e,t,n=this,o=arguments;if(0===o.length)t=n._sounds[0]._id;else if(1===o.length){var a=n._getSoundIds(),i=a.indexOf(o[0]);i>=0?t=parseInt(o[0],10):e=parseFloat(o[0])}else 2===o.length&&(e=parseFloat(o[0]),t=parseInt(o[1],10));var s;if("number"!=typeof e)return s=n._soundById(t),s?s._rate:n._rate;if("loaded"!==n._state||n._playLock)return n._queue.push({event:"rate",action:function(){n.rate.apply(n,o)}}),n;void 0===t&&(n._rate=e),t=n._getSoundIds(t);for(var u=0;u<t.length;u++)if(s=n._soundById(t[u])){n.playing(t[u])&&(s._rateSeek=n.seek(t[u]),s._playStart=n._webAudio?r.ctx.currentTime:s._playStart),s._rate=e,n._webAudio&&s._node&&s._node.bufferSource?s._node.bufferSource.playbackRate.setValueAtTime(e,r.ctx.currentTime):s._node&&(s._node.playbackRate=e);var l=n.seek(t[u]),c=(n._sprite[s._sprite][0]+n._sprite[s._sprite][1])/1e3-l,d=1e3*c/Math.abs(s._rate);!n._endTimers[t[u]]&&s._paused||(n._clearTimer(t[u]),n._endTimers[t[u]]=setTimeout(n._ended.bind(n,s),d)),n._emit("rate",s._id)}return n},seek:function(){var e,t,n=this,o=arguments;if(0===o.length)t=n._sounds[0]._id;else if(1===o.length){var a=n._getSoundIds(),i=a.indexOf(o[0]);i>=0?t=parseInt(o[0],10):n._sounds.length&&(t=n._sounds[0]._id,e=parseFloat(o[0]))}else 2===o.length&&(e=parseFloat(o[0]),t=parseInt(o[1],10));if(void 0===t)return n;if("loaded"!==n._state||n._playLock)return n._queue.push({event:"seek",action:function(){n.seek.apply(n,o)}}),n;var s=n._soundById(t);if(s){if(!("number"==typeof e&&e>=0)){if(n._webAudio){var u=n.playing(t)?r.ctx.currentTime-s._playStart:0,l=s._rateSeek?s._rateSeek-s._seek:0;return s._seek+(l+u*Math.abs(s._rate))}return s._node.currentTime}var c=n.playing(t);c&&n.pause(t,!0),s._seek=e,s._ended=!1,n._clearTimer(t),n._webAudio||!s._node||isNaN(s._node.duration)||(s._node.currentTime=e);var d=function(){n._emit("seek",t),c&&n.play(t,!0)};if(c&&!n._webAudio){var p=function e(){n._playLock?setTimeout(e,0):d()};setTimeout(p,0)}else d()}return n},playing:function(e){var t=this;if("number"==typeof e){var n=t._soundById(e);return!!n&&!n._paused}for(var o=0;o<t._sounds.length;o++)if(!t._sounds[o]._paused)return!0;return!1},duration:function(e){var t=this,n=t._duration,o=t._soundById(e);return o&&(n=t._sprite[o._sprite][1]/1e3),n},state:function(){return this._state},unload:function(){for(var e=this,t=e._sounds,n=0;n<t.length;n++)t[n]._paused||e.stop(t[n]._id),e._webAudio||(e._clearSound(t[n]._node),t[n]._node.removeEventListener("error",t[n]._errorFn,!1),t[n]._node.removeEventListener(r._canPlayEvent,t[n]._loadFn,!1),r._releaseHtml5Audio(t[n]._node)),delete t[n]._node,e._clearTimer(t[n]._id);var o=r._howls.indexOf(e);o>=0&&r._howls.splice(o,1);var a=!0;for(n=0;n<r._howls.length;n++)if(r._howls[n]._src===e._src||e._src.indexOf(r._howls[n]._src)>=0){a=!1;break}return l&&a&&delete l[e._src],r.noAudio=!1,e._state="unloaded",e._sounds=[],e=null,null},on:function(e,t,n,o){var r=this,a=r["_on"+e];return"function"==typeof t&&a.push(o?{id:n,fn:t,once:o}:{id:n,fn:t}),r},off:function(e,t,n){var o=this,r=o["_on"+e],a=0;if("number"==typeof t&&(n=t,t=null),t||n)for(a=0;a<r.length;a++){var i=n===r[a].id;if(t===r[a].fn&&i||!t&&i){r.splice(a,1);break}}else if(e)o["_on"+e]=[];else{var s=Object.keys(o);for(a=0;a<s.length;a++)0===s[a].indexOf("_on")&&Array.isArray(o[s[a]])&&(o[s[a]]=[])}return o},once:function(e,t,n){var o=this;return o.on(e,t,n,1),o},_emit:function(e,t,n){for(var o=this,r=o["_on"+e],a=r.length-1;a>=0;a--)r[a].id&&r[a].id!==t&&"load"!==e||(setTimeout(function(e){e.call(this,t,n)}.bind(o,r[a].fn),0),r[a].once&&o.off(e,r[a].fn,r[a].id));return o._loadQueue(e),o},_loadQueue:function(e){var t=this;if(t._queue.length>0){var n=t._queue[0];n.event===e&&(t._queue.shift(),t._loadQueue()),e||n.action()}return t},_ended:function(e){var t=this,n=e._sprite;if(!t._webAudio&&e._node&&!e._node.paused&&!e._node.ended&&e._node.currentTime<e._stop)return setTimeout(t._ended.bind(t,e),100),t;var o=!(!e._loop&&!t._sprite[n][2]);if(t._emit("end",e._id),!t._webAudio&&o&&t.stop(e._id,!0).play(e._id),t._webAudio&&o){t._emit("play",e._id),e._seek=e._start||0,e._rateSeek=0,e._playStart=r.ctx.currentTime;var a=1e3*(e._stop-e._start)/Math.abs(e._rate);t._endTimers[e._id]=setTimeout(t._ended.bind(t,e),a)}return t._webAudio&&!o&&(e._paused=!0,e._ended=!0,e._seek=e._start||0,e._rateSeek=0,t._clearTimer(e._id),t._cleanBuffer(e._node),r._autoSuspend()),t._webAudio||o||t.stop(e._id,!0),t},_clearTimer:function(e){var t=this;if(t._endTimers[e]){if("function"!=typeof t._endTimers[e])clearTimeout(t._endTimers[e]);else{var n=t._soundById(e);n&&n._node&&n._node.removeEventListener("ended",t._endTimers[e],!1)}delete t._endTimers[e]}return t},_soundById:function(e){for(var t=this,n=0;n<t._sounds.length;n++)if(e===t._sounds[n]._id)return t._sounds[n];return null},_inactiveSound:function(){var e=this;e._drain();for(var t=0;t<e._sounds.length;t++)if(e._sounds[t]._ended)return e._sounds[t].reset();return new u(e)},_drain:function(){var e=this,t=e._pool,n=0,o=0;if(!(e._sounds.length<t)){for(o=0;o<e._sounds.length;o++)e._sounds[o]._ended&&n++;for(o=e._sounds.length-1;o>=0;o--){if(n<=t)return;e._sounds[o]._ended&&(e._webAudio&&e._sounds[o]._node&&e._sounds[o]._node.disconnect(0),e._sounds.splice(o,1),n--)}}},_getSoundIds:function(e){var t=this;if(void 0===e){for(var n=[],o=0;o<t._sounds.length;o++)n.push(t._sounds[o]._id);return n}return[e]},_refreshBuffer:function(e){var t=this;return e._node.bufferSource=r.ctx.createBufferSource(),e._node.bufferSource.buffer=l[t._src],e._panner?e._node.bufferSource.connect(e._panner):e._node.bufferSource.connect(e._node),e._node.bufferSource.loop=e._loop,e._loop&&(e._node.bufferSource.loopStart=e._start||0,e._node.bufferSource.loopEnd=e._stop||0),e._node.bufferSource.playbackRate.setValueAtTime(e._rate,r.ctx.currentTime),t},_cleanBuffer:function(e){var t=this,n=r._navigator&&r._navigator.vendor.indexOf("Apple")>=0;if(r._scratchBuffer&&e.bufferSource&&(e.bufferSource.onended=null,e.bufferSource.disconnect(0),n))try{e.bufferSource.buffer=r._scratchBuffer}catch(e){}return e.bufferSource=null,t},_clearSound:function(e){/MSIE |Trident\//.test(r._navigator&&r._navigator.userAgent)||(e.src="data:audio/wav;base64,UklGRigAAABXQVZFZm10IBIAAAABAAEARKwAAIhYAQACABAAAABkYXRhAgAAAAEA")}};var u=function(e){this._parent=e,this.init()};u.prototype={init:function(){var e=this,t=e._parent;return e._muted=t._muted,e._loop=t._loop,e._volume=t._volume,e._rate=t._rate,e._seek=0,e._paused=!0,e._ended=!0,e._sprite="__default",e._id=++r._counter,t._sounds.push(e),e.create(),e},create:function(){var e=this,t=e._parent,n=r._muted||e._muted||e._parent._muted?0:e._volume;return t._webAudio?(e._node=void 0===r.ctx.createGain?r.ctx.createGainNode():r.ctx.createGain(),e._node.gain.setValueAtTime(n,r.ctx.currentTime),e._node.paused=!0,e._node.connect(r.masterGain)):r.noAudio||(e._node=r._obtainHtml5Audio(),e._errorFn=e._errorListener.bind(e),e._node.addEventListener("error",e._errorFn,!1),e._loadFn=e._loadListener.bind(e),e._node.addEventListener(r._canPlayEvent,e._loadFn,!1),e._node.src=t._src,e._node.preload=!0===t._preload?"auto":t._preload,e._node.volume=n*r.volume(),e._node.load()),e},reset:function(){var e=this,t=e._parent;return e._muted=t._muted,e._loop=t._loop,e._volume=t._volume,e._rate=t._rate,e._seek=0,e._rateSeek=0,e._paused=!0,e._ended=!0,e._sprite="__default",e._id=++r._counter,e},_errorListener:function(){var e=this;e._parent._emit("loaderror",e._id,e._node.error?e._node.error.code:0),e._node.removeEventListener("error",e._errorFn,!1)},_loadListener:function(){var e=this,t=e._parent;t._duration=Math.ceil(10*e._node.duration)/10,0===Object.keys(t._sprite).length&&(t._sprite={__default:[0,1e3*t._duration]}),"loaded"!==t._state&&(t._state="loaded",t._emit("load"),t._loadQueue()),e._node.removeEventListener(r._canPlayEvent,e._loadFn,!1)}};var l={},c=function(e){var t=e._src;if(l[t])return e._duration=l[t].duration,void _(e);if(/^data:[^;]+;base64,/.test(t)){for(var n=atob(t.split(",")[1]),o=new Uint8Array(n.length),r=0;r<n.length;++r)o[r]=n.charCodeAt(r);p(o.buffer,e)}else{var a=new XMLHttpRequest;a.open(e._xhr.method,t,!0),a.withCredentials=e._xhr.withCredentials,a.responseType="arraybuffer",e._xhr.headers&&Object.keys(e._xhr.headers).forEach(function(t){a.setRequestHeader(t,e._xhr.headers[t])}),a.onload=function(){var t=(a.status+"")[0];if("0"!==t&&"2"!==t&&"3"!==t)return void e._emit("loaderror",null,"Failed loading audio file with status: "+a.status+".");p(a.response,e)},a.onerror=function(){e._webAudio&&(e._html5=!0,e._webAudio=!1,e._sounds=[],delete l[t],e.load())},d(a)}},d=function(e){try{e.send()}catch(t){e.onerror()}},p=function(e,t){var n=function(){t._emit("loaderror",null,"Decoding audio data failed.")},o=function(e){e&&t._sounds.length>0?(l[t._src]=e,_(t,e)):n()};"undefined"!=typeof Promise&&1===r.ctx.decodeAudioData.length?r.ctx.decodeAudioData(e).then(o).catch(n):r.ctx.decodeAudioData(e,o,n)},_=function(e,t){t&&!e._duration&&(e._duration=t.duration),0===Object.keys(e._sprite).length&&(e._sprite={__default:[0,1e3*e._duration]}),"loaded"!==e._state&&(e._state="loaded",e._emit("load"),e._loadQueue())},f=function(){if(r.usingWebAudio){try{"undefined"!=typeof AudioContext?r.ctx=new AudioContext:"undefined"!=typeof webkitAudioContext?r.ctx=new webkitAudioContext:r.usingWebAudio=!1}catch(e){r.usingWebAudio=!1}r.ctx||(r.usingWebAudio=!1);var e=/iP(hone|od|ad)/.test(r._navigator&&r._navigator.platform),t=r._navigator&&r._navigator.appVersion.match(/OS (\d+)_(\d+)_?(\d+)?/),n=t?parseInt(t[1],10):null;if(e&&n&&n<9){var o=/safari/.test(r._navigator&&r._navigator.userAgent.toLowerCase());r._navigator&&!o&&(r.usingWebAudio=!1)}r.usingWebAudio&&(r.masterGain=void 0===r.ctx.createGain?r.ctx.createGainNode():r.ctx.createGain(),r.masterGain.gain.setValueAtTime(r._muted?0:r._volume,r.ctx.currentTime),r.masterGain.connect(r.ctx.destination)),r._setup()}};a=[],void 0!==(i=function(){return{Howler:r,Howl:s}}.apply(n,a))&&(e.exports=i),n.Howler=r,n.Howl=s,void 0!==t?(t.HowlerGlobal=o,t.Howler=r,t.Howl=s,t.Sound=u):"undefined"!=typeof window&&(window.HowlerGlobal=o,window.Howler=r,window.Howl=s,window.Sound=u)}(),function(){"use strict";HowlerGlobal.prototype._pos=[0,0,0],HowlerGlobal.prototype._orientation=[0,0,-1,0,1,0],HowlerGlobal.prototype.stereo=function(e){var t=this;if(!t.ctx||!t.ctx.listener)return t;for(var n=t._howls.length-1;n>=0;n--)t._howls[n].stereo(e);return t},HowlerGlobal.prototype.pos=function(e,t,n){var o=this;return o.ctx&&o.ctx.listener?(t="number"!=typeof t?o._pos[1]:t,n="number"!=typeof n?o._pos[2]:n,"number"!=typeof e?o._pos:(o._pos=[e,t,n],void 0!==o.ctx.listener.positionX?(o.ctx.listener.positionX.setTargetAtTime(o._pos[0],Howler.ctx.currentTime,.1),o.ctx.listener.positionY.setTargetAtTime(o._pos[1],Howler.ctx.currentTime,.1),o.ctx.listener.positionZ.setTargetAtTime(o._pos[2],Howler.ctx.currentTime,.1)):o.ctx.listener.setPosition(o._pos[0],o._pos[1],o._pos[2]),o)):o},HowlerGlobal.prototype.orientation=function(e,t,n,o,r,a){var i=this;if(!i.ctx||!i.ctx.listener)return i;var s=i._orientation;return t="number"!=typeof t?s[1]:t,n="number"!=typeof n?s[2]:n,o="number"!=typeof o?s[3]:o,r="number"!=typeof r?s[4]:r,a="number"!=typeof a?s[5]:a,"number"!=typeof e?s:(i._orientation=[e,t,n,o,r,a],void 0!==i.ctx.listener.forwardX?(i.ctx.listener.forwardX.setTargetAtTime(e,Howler.ctx.currentTime,.1),i.ctx.listener.forwardY.setTargetAtTime(t,Howler.ctx.currentTime,.1),i.ctx.listener.forwardZ.setTargetAtTime(n,Howler.ctx.currentTime,.1),i.ctx.listener.upX.setTargetAtTime(o,Howler.ctx.currentTime,.1),i.ctx.listener.upY.setTargetAtTime(r,Howler.ctx.currentTime,.1),i.ctx.listener.upZ.setTargetAtTime(a,Howler.ctx.currentTime,.1)):i.ctx.listener.setOrientation(e,t,n,o,r,a),i)},Howl.prototype.init=function(e){return function(t){var n=this;return n._orientation=t.orientation||[1,0,0],n._stereo=t.stereo||null,n._pos=t.pos||null,n._pannerAttr={coneInnerAngle:void 0!==t.coneInnerAngle?t.coneInnerAngle:360,coneOuterAngle:void 0!==t.coneOuterAngle?t.coneOuterAngle:360,coneOuterGain:void 0!==t.coneOuterGain?t.coneOuterGain:0,distanceModel:void 0!==t.distanceModel?t.distanceModel:"inverse",maxDistance:void 0!==t.maxDistance?t.maxDistance:1e4,panningModel:void 0!==t.panningModel?t.panningModel:"HRTF",refDistance:void 0!==t.refDistance?t.refDistance:1,rolloffFactor:void 0!==t.rolloffFactor?t.rolloffFactor:1},n._onstereo=t.onstereo?[{fn:t.onstereo}]:[],n._onpos=t.onpos?[{fn:t.onpos}]:[],n._onorientation=t.onorientation?[{fn:t.onorientation}]:[],e.call(this,t)}}(Howl.prototype.init),Howl.prototype.stereo=function(t,n){var o=this;if(!o._webAudio)return o;if("loaded"!==o._state)return o._queue.push({event:"stereo",action:function(){o.stereo(t,n)}}),o;var r=void 0===Howler.ctx.createStereoPanner?"spatial":"stereo";if(void 0===n){if("number"!=typeof t)return o._stereo;o._stereo=t,o._pos=[t,0,0]}for(var a=o._getSoundIds(n),i=0;i<a.length;i++){var s=o._soundById(a[i]);if(s){if("number"!=typeof t)return s._stereo;s._stereo=t,s._pos=[t,0,0],s._node&&(s._pannerAttr.panningModel="equalpower",s._panner&&s._panner.pan||e(s,r),"spatial"===r?void 0!==s._panner.positionX?(s._panner.positionX.setValueAtTime(t,Howler.ctx.currentTime),s._panner.positionY.setValueAtTime(0,Howler.ctx.currentTime),s._panner.positionZ.setValueAtTime(0,Howler.ctx.currentTime)):s._panner.setPosition(t,0,0):s._panner.pan.setValueAtTime(t,Howler.ctx.currentTime)),o._emit("stereo",s._id)}}return o},Howl.prototype.pos=function(t,n,o,r){var a=this;if(!a._webAudio)return a;if("loaded"!==a._state)return a._queue.push({event:"pos",action:function(){a.pos(t,n,o,r)}}),a;if(n="number"!=typeof n?0:n,o="number"!=typeof o?-.5:o,void 0===r){if("number"!=typeof t)return a._pos;a._pos=[t,n,o]}for(var i=a._getSoundIds(r),s=0;s<i.length;s++){var u=a._soundById(i[s]);if(u){if("number"!=typeof t)return u._pos;u._pos=[t,n,o],u._node&&(u._panner&&!u._panner.pan||e(u,"spatial"),void 0!==u._panner.positionX?(u._panner.positionX.setValueAtTime(t,Howler.ctx.currentTime),u._panner.positionY.setValueAtTime(n,Howler.ctx.currentTime),u._panner.positionZ.setValueAtTime(o,Howler.ctx.currentTime)):u._panner.setPosition(t,n,o)),a._emit("pos",u._id)}}return a},Howl.prototype.orientation=function(t,n,o,r){var a=this;if(!a._webAudio)return a;if("loaded"!==a._state)return a._queue.push({event:"orientation",action:function(){a.orientation(t,n,o,r)}}),a;if(n="number"!=typeof n?a._orientation[1]:n,o="number"!=typeof o?a._orientation[2]:o,void 0===r){if("number"!=typeof t)return a._orientation;a._orientation=[t,n,o]}for(var i=a._getSoundIds(r),s=0;s<i.length;s++){var u=a._soundById(i[s]);if(u){if("number"!=typeof t)return u._orientation;u._orientation=[t,n,o],u._node&&(u._panner||(u._pos||(u._pos=a._pos||[0,0,-.5]),e(u,"spatial")),void 0!==u._panner.orientationX?(u._panner.orientationX.setValueAtTime(t,Howler.ctx.currentTime),u._panner.orientationY.setValueAtTime(n,Howler.ctx.currentTime),u._panner.orientationZ.setValueAtTime(o,Howler.ctx.currentTime)):u._panner.setOrientation(t,n,o)),a._emit("orientation",u._id)}}return a},Howl.prototype.pannerAttr=function(){var t,n,r,a=this,i=arguments;if(!a._webAudio)return a;if(0===i.length)return a._pannerAttr;if(1===i.length){if("object"!==o(i[0]))return r=a._soundById(parseInt(i[0],10)),r?r._pannerAttr:a._pannerAttr;t=i[0],void 0===n&&(t.pannerAttr||(t.pannerAttr={coneInnerAngle:t.coneInnerAngle,coneOuterAngle:t.coneOuterAngle,coneOuterGain:t.coneOuterGain,distanceModel:t.distanceModel,maxDistance:t.maxDistance,refDistance:t.refDistance,rolloffFactor:t.rolloffFactor,panningModel:t.panningModel}),a._pannerAttr={coneInnerAngle:void 0!==t.pannerAttr.coneInnerAngle?t.pannerAttr.coneInnerAngle:a._coneInnerAngle,coneOuterAngle:void 0!==t.pannerAttr.coneOuterAngle?t.pannerAttr.coneOuterAngle:a._coneOuterAngle,coneOuterGain:void 0!==t.pannerAttr.coneOuterGain?t.pannerAttr.coneOuterGain:a._coneOuterGain,distanceModel:void 0!==t.pannerAttr.distanceModel?t.pannerAttr.distanceModel:a._distanceModel,maxDistance:void 0!==t.pannerAttr.maxDistance?t.pannerAttr.maxDistance:a._maxDistance,refDistance:void 0!==t.pannerAttr.refDistance?t.pannerAttr.refDistance:a._refDistance,rolloffFactor:void 0!==t.pannerAttr.rolloffFactor?t.pannerAttr.rolloffFactor:a._rolloffFactor,panningModel:void 0!==t.pannerAttr.panningModel?t.pannerAttr.panningModel:a._panningModel})}else 2===i.length&&(t=i[0],n=parseInt(i[1],10));for(var s=a._getSoundIds(n),u=0;u<s.length;u++)if(r=a._soundById(s[u])){var l=r._pannerAttr;l={coneInnerAngle:void 0!==t.coneInnerAngle?t.coneInnerAngle:l.coneInnerAngle,coneOuterAngle:void 0!==t.coneOuterAngle?t.coneOuterAngle:l.coneOuterAngle,coneOuterGain:void 0!==t.coneOuterGain?t.coneOuterGain:l.coneOuterGain,distanceModel:void 0!==t.distanceModel?t.distanceModel:l.distanceModel,maxDistance:void 0!==t.maxDistance?t.maxDistance:l.maxDistance,refDistance:void 0!==t.refDistance?t.refDistance:l.refDistance,rolloffFactor:void 0!==t.rolloffFactor?t.rolloffFactor:l.rolloffFactor,panningModel:void 0!==t.panningModel?t.panningModel:l.panningModel};var c=r._panner;c?(c.coneInnerAngle=l.coneInnerAngle,c.coneOuterAngle=l.coneOuterAngle,c.coneOuterGain=l.coneOuterGain,c.distanceModel=l.distanceModel,c.maxDistance=l.maxDistance,c.refDistance=l.refDistance,c.rolloffFactor=l.rolloffFactor,c.panningModel=l.panningModel):(r._pos||(r._pos=a._pos||[0,0,-.5]),e(r,"spatial"))}return a},Sound.prototype.init=function(e){return function(){var t=this,n=t._parent;t._orientation=n._orientation,t._stereo=n._stereo,t._pos=n._pos,t._pannerAttr=n._pannerAttr,e.call(this),t._stereo?n.stereo(t._stereo):t._pos&&n.pos(t._pos[0],t._pos[1],t._pos[2],t._id)}}(Sound.prototype.init),Sound.prototype.reset=function(e){return function(){var t=this,n=t._parent;return t._orientation=n._orientation,t._stereo=n._stereo,t._pos=n._pos,t._pannerAttr=n._pannerAttr,t._stereo?n.stereo(t._stereo):t._pos?n.pos(t._pos[0],t._pos[1],t._pos[2],t._id):t._panner&&(t._panner.disconnect(0),t._panner=void 0,n._refreshBuffer(t)),e.call(this)}}(Sound.prototype.reset);var e=function(e,t){t=t||"spatial","spatial"===t?(e._panner=Howler.ctx.createPanner(),e._panner.coneInnerAngle=e._pannerAttr.coneInnerAngle,e._panner.coneOuterAngle=e._pannerAttr.coneOuterAngle,e._panner.coneOuterGain=e._pannerAttr.coneOuterGain,e._panner.distanceModel=e._pannerAttr.distanceModel,e._panner.maxDistance=e._pannerAttr.maxDistance,e._panner.refDistance=e._pannerAttr.refDistance,e._panner.rolloffFactor=e._pannerAttr.rolloffFactor,e._panner.panningModel=e._pannerAttr.panningModel,void 0!==e._panner.positionX?(e._panner.positionX.setValueAtTime(e._pos[0],Howler.ctx.currentTime),e._panner.positionY.setValueAtTime(e._pos[1],Howler.ctx.currentTime),e._panner.positionZ.setValueAtTime(e._pos[2],Howler.ctx.currentTime)):e._panner.setPosition(e._pos[0],e._pos[1],e._pos[2]),void 0!==e._panner.orientationX?(e._panner.orientationX.setValueAtTime(e._orientation[0],Howler.ctx.currentTime),e._panner.orientationY.setValueAtTime(e._orientation[1],Howler.ctx.currentTime),e._panner.orientationZ.setValueAtTime(e._orientation[2],Howler.ctx.currentTime)):e._panner.setOrientation(e._orientation[0],e._orientation[1],e._orientation[2])):(e._panner=Howler.ctx.createStereoPanner(),e._panner.pan.setValueAtTime(e._stereo,Howler.ctx.currentTime)),e._panner.connect(e._node),e._paused||e._parent.pause(e._id,!0).play(e._id,!0)}}()},function(e,t,n){"use strict";var o=n(0),r=n.n(o),a=function(e){var t=e.className;return r.a.createElement("svg",{className:"".concat(t," blocks-inline-icon"),xmlns:"http://www.w3.org/2000/svg",width:"16",height:"16",viewBox:"0 0 32 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Morph.setPayload('/data/bbc-morph-blocks-article-data/language/en-GB/preview/false/projectName/blocks-food/timestamp/0/version/5.7.2/zid/zpgh7yc', {"meta":{"responseCode":200,"errorMessage":null,"headers":{"x-morph-privacy-level":"public","content-type":"application\/json"}},"body":{"modifiedDateTime":"2020-08-17T09:14:10.887Z","id":"zpgh7yc","type":"article","headline":"Can you train your metabolism to work faster?","pageTitle":"Can you train your metabolism to work faster?","synopsis":"Think your metabolic rate is slower than others and want to speed up your metabolism we speak to Professor Tim Spector, Dr Giles Yeo and personal trainer David Weiner to decipher the science and discuss whether it's 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});</script><script>Morph.toInit.payloads.push(function() { Morph.setPayload('/data/bbc-morph-blocks-data/preview/false/projectName/blocks-food/timestamp/0/version/2.60.2/zid/zscnm39', {"meta":{"responseCode":200,"errorMessage":null,"headers":{"content-type":"application\/json"}},"body":{"type":"image-block","id":"zscnm39","pid":"p08nkbq2","title":"Well, no you can’t, but yes you can. Look, it’s complicated. But there is good news…","alt":"","caption":"","image":{"copyright":"","imageUrl":"ichef.bbci.co.uk\/images\/ic\/$recipe\/p08nkbq2.jpg","shortSynopsis":"Can you train your metabolism?","pid":"p08nkbq2"}}}); });</script><script>Morph.toInit.payloads.push(function() { Morph.setPayload('/data/bbc-morph-blocks-data/preview/false/projectName/blocks-food/timestamp/0/version/2.60.2/zid/zbwbn9q', {"meta":{"responseCode":200,"errorMessage":null,"headers":{"content-type":"application\/json"}},"body":{"type":"image-block","id":"zbwbn9q","pid":"p08nk0j2","title":"","alt":"Tim Spector leaning against a wall","caption":"Professor Tim Spector ©Alexandra Dao Photography","image":{"copyright":"","imageUrl":"ichef.bbci.co.uk\/images\/ic\/$recipe\/p08nk0j2.jpg","shortSynopsis":"Tim Spector","pid":"p08nk0j2"}}}); });</script><script>Morph.toInit.payloads.push(function() { Morph.setPayload('/data/bbc-morph-blocks-data/preview/false/projectName/blocks-food/timestamp/0/version/2.60.2/zid/zbqrf82', {"meta":{"responseCode":200,"errorMessage":null,"headers":{"content-type":"application\/json"}},"body":{"type":"text-block","id":"zbqrf82","title":"","html":"<div class=\"blocks-text-block__text\"><p class=\"blocks-text-block__paragraph\"><span>David Wiener, nutritionist and personal trainer, says “in general, men tend to have a faster metabolism than women because they have more muscle mass, heavier bones and less body fat. 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Burpees, mountain climbers, squat jumps and planks, though as with all new diet and exercise plans, you should speak to an expert before you embark on them.<\/span><\/p><\/div>"}}); });</script><script>Morph.toInit.payloads.push(function() { Morph.setPayload('/data/bbc-morph-blocks-data/preview/false/projectName/blocks-food/timestamp/0/version/2.60.2/zid/z7s7kty', {"meta":{"responseCode":200,"errorMessage":null,"headers":{"content-type":"application\/json"}},"body":{"type":"text-block","id":"z7s7kty","title":"What’s the science?","html":"<div class=\"blocks-text-block__text\"><p class=\"blocks-text-block__paragraph\"><span>High levels of sugars or fats in the bloodstream can be caused by a sudden high intake of these nutrients, for instance when you eat a large piece of cake, or you have an inefficient (slow) metabolic response to eating a smaller piece of cake. This spike is associated with energy that is excess to requirements and therefore stored as fat. <\/span><\/p><p class=\"blocks-text-block__paragraph\"><span>Professor Spector’s study saw 1,100 participants (a mixture of identical and non-identical twins and unrelated individuals) fast overnight, then spend the following day in hospital. While there, their bloods were taken every half hour and they were given identical foods and portions. Their body’s response to the food was analysed. When they returned home for two weeks, they were given set foods and meals to eat, and they also ate their own food. Their responses were logged via wearable technology (glucose monitors) and an app, with further blood prick samples submitted. Their microbiome (gut bacteria) was also collected at the beginning and end of the study. <\/span><\/p><p class=\"blocks-text-block__paragraph\"><span>The result? “The metabolic response to food was so different between people in identical conditions. So, if they were given an identical muffin, for example, how much their sugar, insulin and blood fats went up varied about eight-fold between people. There was no average response. Even identical twins having the same meal at the same time had different responses”. <\/span><\/p><p class=\"blocks-text-block__paragraph\"><span>Combining all the data, they were able to create an algorithm and predict, with a 76 percent accuracy, how each participant would respond to any food.<\/span><\/p><\/div>"}}); });</script><script>Morph.toInit.payloads.push(function() { Morph.setPayload('/data/bbc-morph-blocks-data/preview/false/projectName/blocks-food/timestamp/0/version/2.60.2/zid/zs4sxbk', {"meta":{"responseCode":200,"errorMessage":null,"headers":{"content-type":"application\/json"}},"body":{"type":"image-block","id":"zs4sxbk","pid":"p08nk3lb","title":"What is basal metabolic rate and can you change it?","alt":"A picture of scales with tape measure, fruit and weights nearby","caption":"","image":{"copyright":"","imageUrl":"ichef.bbci.co.uk\/images\/ic\/$recipe\/p08nk3lb.jpg","shortSynopsis":"A picture of scales with tape measure, fruit and weights nearby","pid":"p08nk3lb"}}}); });</script><script>Morph.toInit.payloads.push(function() { Morph.setPayload('/data/bbc-morph-blocks-data/preview/false/projectName/blocks-food/timestamp/0/version/2.60.2/zid/zncnm39', {"meta":{"responseCode":200,"errorMessage":null,"headers":{"content-type":"application\/json"}},"body":{"type":"text-block","id":"zncnm39","title":"","html":"<div class=\"blocks-text-block__text\"><p class=\"blocks-text-block__paragraph\"><span>Basal metabolic rate (the rate at which we use energy while at rest to maintain vital functions such as breathing and keeping warm) is difficult to change. It’s caught up in our DNA, and we don’t yet know which genes impact it. It’s also difficult to measure. <\/span><\/p><p class=\"blocks-text-block__paragraph\"><span>“There is no way to train our <\/span><span>basal<\/span><span> metabolic <\/span><span>rate<\/span><span> with food to do anything because, given our genes, our metabolism is going to set to whatever it’s set at”, explains Dr Yeo. <\/span><\/p><p class=\"blocks-text-block__paragraph\"><span>You can adapt your diet so you’re eating less of the foods that cause these spikes (which is what Dr Spector has focused on), but you can’t change your basal metabolic rate so that regardless of what you eat everything will speed up. <\/span><\/p><p class=\"blocks-text-block__paragraph\"><span>If you believe your metabolic rate is slow, this is where it gets a bit depressing…<\/span><\/p><p class=\"blocks-text-block__paragraph\"><span>If you think someone who has a BMI in the ‘healthy range’ must have a faster metabolism than someone categorised as being ‘overweight’ or ‘obese’, and that if you lose weight your metabolism might pick up too, you’re wrong.<\/span><\/p><p class=\"blocks-text-block__paragraph\"><span>It’s true that if you have a larger build, Dr Yeo says it’s likely your metabolism will be higher than someone who has a slimmer build because “you have a bigger engine to run”. But here’s the kicker: if you lose weight your metabolic rate decreases.<\/span><\/p><p class=\"blocks-text-block__paragraph\"><span>“So, I’m 75kg”, says Dr Yeo. “Imagine I have a twin who used to be 85kg, but has lost 10kg so is now 75kg too. But I’ve never been 85kg. I will always be able to eat more than my twin... because he’s defending a higher weight than me.<\/span><\/p><p class=\"blocks-text-block__paragraph\"><span>“As you lose this weight, your brain hates it”, he continues, “because it considers it as reducing your likelihood of surviving. Keep in mind we’ve evolved from a time when there was not enough food. So whenever you lose weight a red flag goes off in your brain and two things happen: it makes you more hungry and it lowers your metabolism slightly to try and drag your weight back up.”<\/span><\/p><p class=\"blocks-text-block__paragraph\"><span>Dr Yeo says this will be the case whether you’ve reduced your weight gently over time or via an extreme diet. <\/span><\/p><p class=\"blocks-text-block__paragraph\"><span>“When you lose weight it doesn’t drop by that much, but you have to remember that 8 to 10 to 20 calories every single day, that kind of difference is enough to make a difference in 5 kilos of body weight over a few years.”<\/span><\/p><\/div>"}}); });</script><script>Morph.toInit.payloads.push(function() { Morph.setPayload('/data/bbc-morph-blocks-data/preview/false/projectName/blocks-food/timestamp/0/version/2.60.2/zid/zmymdp3', {"meta":{"responseCode":200,"errorMessage":null,"headers":{"content-type":"application\/json"}},"body":{"type":"image-block","id":"zmymdp3","pid":"p08nk20t","title":"Are there magical metabolism ingredients?","alt":"A cup of green tea","caption":"Are there ingredients that boost your metabolism?","image":{"copyright":"","imageUrl":"ichef.bbci.co.uk\/images\/ic\/$recipe\/p08nk20t.jpg","shortSynopsis":"Shutterstock 301981889","pid":"p08nk20t"}}}); });</script><script>Morph.toInit.payloads.push(function() { Morph.setPayload('/data/bbc-morph-blocks-data/preview/false/projectName/blocks-food/timestamp/0/version/2.60.2/zid/z3d3p4j', {"meta":{"responseCode":200,"errorMessage":null,"headers":{"content-type":"application\/json"}},"body":{"type":"text-block","id":"z3d3p4j","title":"","html":"<div class=\"blocks-text-block__text\"><p class=\"blocks-text-block__paragraph\"><span>It’s the bugbear of many: you struggle to lose weight, but your friend cuts back for one day and the weight seemingly falls off or, even worse, they never have to moderate their diet to avoid weight gain. <\/span><\/p><p class=\"blocks-text-block__paragraph\"><span>Now, new <\/span><a href=\"https:\/\/www.nature.com\/articles\/s41591-020-0934-0\" class=\"blocks-text-block__link blocks-text-block__link--external-link\" data-bbc-container=\"blocks-text-block\" data-bbc-metadata=\"{"EXT":true}\"><span>research<\/span><\/a><span> indicates that as individuals we metabolise some foods more quickly than others. This implies that if we knew more about how different foods affect our bodies, we could identify and avoid or cut back on our personal triggers for blood sugar spikes and excess energy. Sounds great right? But could reducing how much we eat of these foods affect the speed at which we lose weight as individuals?<\/span><\/p><p class=\"blocks-text-block__paragraph\"><span>We spoke to Professor Tim Spector, Dr Giles Yeo and nutritionist and personal trainer David Wiener to decipher the science.<\/span><\/p><\/div>"}}); });</script><script>Morph.toInit.payloads.push(function() { Morph.setPayload('/data/bbc-morph-blocks-data/preview/false/projectName/blocks-food/timestamp/0/version/2.60.2/zid/zhgh7yc', {"meta":{"responseCode":200,"errorMessage":null,"headers":{"content-type":"application\/json"}},"body":{"type":"text-block","id":"zhgh7yc","title":"","html":"<div class=\"blocks-text-block__text\"><p class=\"blocks-text-block__paragraph\"><span>Are there magical ingredients that could speed up your metabolism, such as green tea? Dr Giles Yeo, Principal Research Associate at Cambridge University’s Metabolic Research Laboratories and MRC Metabolic Diseases Unit, says “No. There are some things that do increase your metabolism, but they’re mostly poisons”. Oh, perhaps we’ll leave them then.<\/span><\/p><p class=\"blocks-text-block__paragraph\"><span>Professor Spector is used to debunking myths and checks off 23 of them in his new book Spoon Fed. 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He explains that doing exercise will temporarily raise your metabolic rate – basically for as long as you feel hot and sweaty afterwards. <\/span><\/p><p class=\"blocks-text-block__paragraph\"><span>As for increasing muscle mass, that becomes more critical as you get older and your metabolism drops further, although Dr Yeo highlights “I’m not suggesting we send Granny to the gym – just going for a gentle walk will help”.<\/span><\/p><\/div>"}}); });</script><script>Morph.toInit.payloads.push(function() { Morph.setPayload('/data/bbc-morph-blocks-data/preview/false/projectName/blocks-food/timestamp/0/version/2.60.2/zid/z2f28hv', {"meta":{"responseCode":200,"errorMessage":null,"headers":{"content-type":"application\/json"}},"body":{"type":"text-block","id":"z2f28hv","title":"What can you change about how you metabolise food?","html":"<div class=\"blocks-text-block__text\"><p class=\"blocks-text-block__paragraph\"><span>In Professor Spector’s study, while one person had a fat or sugar spike after eating one type of food, another got the same response from a different type. So when you learn a friend lost two stone on a diet yet you struggled to lose a few pounds, it may be because they cut out ingredients that caused the spike for them but you’re still eating the ones that cause it for you – you’re metabolising the same food very differently. The time people ate also affected their response.<\/span><\/p><p class=\"blocks-text-block__paragraph\"><span>So in theory, if you knew what was causing your spike you could reduce your consumption of those ingredients and eat at times that best support the burning of your fuel efficiently. 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