1 00:00:00,280 --> 00:00:03,840 Speaker 1: High Prognosis listeners. This month, we're looking back at some 2 00:00:03,920 --> 00:00:07,640 Speaker 1: of our favorite stories from the podcast. On this episode, 3 00:00:07,880 --> 00:00:11,240 Speaker 1: we see if exercise tracking apps and gadgets like Fitbit 4 00:00:11,560 --> 00:00:17,160 Speaker 1: really do make us healthier. Thanks and enjoy. It's almost 5 00:00:17,200 --> 00:00:19,840 Speaker 1: seven thirty and I just got in from my morning walk. 6 00:00:20,360 --> 00:00:23,239 Speaker 1: Thanks to my Fitbit and my phone, I know that 7 00:00:23,280 --> 00:00:25,880 Speaker 1: I'm already more than half way to hitting my ten 8 00:00:25,880 --> 00:00:30,160 Speaker 1: thousand step target for the day. I have my Fitbit 9 00:00:32,240 --> 00:00:36,400 Speaker 1: who says that I have walked seven thousand and thirty 10 00:00:36,400 --> 00:00:40,479 Speaker 1: one steps. And you know what I have on my 11 00:00:40,680 --> 00:00:46,000 Speaker 1: phone as well, another health app. Oh, and that one 12 00:00:46,040 --> 00:00:49,440 Speaker 1: says I've done seven thousand, four hundred and eleven steps. 13 00:00:50,040 --> 00:00:52,360 Speaker 1: Now that it's warmer out, I'm on tract to beat 14 00:00:52,440 --> 00:00:56,560 Speaker 1: last week's numbers two. But I'll admit sometimes I wonder 15 00:00:56,560 --> 00:01:09,279 Speaker 1: if my Fitbit really makes me any more fit. Welcome 16 00:01:09,319 --> 00:01:12,800 Speaker 1: to Prognosis, Bloomberg's podcast about the intersection of health and 17 00:01:12,840 --> 00:01:17,320 Speaker 1: technology and the unexpected places it's taking us. I'm your host, 18 00:01:17,440 --> 00:01:21,000 Speaker 1: Michelle fe Cortes. Even if you never use it, you 19 00:01:21,080 --> 00:01:23,399 Speaker 1: most likely have a health app installed on your phone. 20 00:01:24,280 --> 00:01:27,920 Speaker 1: Apple Health, which comes with every iPhone, can clock everything 21 00:01:27,959 --> 00:01:31,840 Speaker 1: from steps to sleep. Some three thousand digital health apps 22 00:01:31,880 --> 00:01:33,960 Speaker 1: are competing for a share of the market to help 23 00:01:33,959 --> 00:01:38,280 Speaker 1: you track your calories, watch your blood sugar, guide your workouts, 24 00:01:38,840 --> 00:01:42,760 Speaker 1: or help you meditate. In the last episode, we told 25 00:01:42,800 --> 00:01:45,399 Speaker 1: you what these apps are doing with your data. This time, 26 00:01:45,760 --> 00:01:48,600 Speaker 1: my colleague Naomi Kresky looks into what the health apps 27 00:01:48,640 --> 00:01:59,919 Speaker 1: can do for their users. For us, My appetictions started 28 00:02:00,120 --> 00:02:03,000 Speaker 1: last year when a friend of a friend told me 29 00:02:03,080 --> 00:02:05,440 Speaker 1: he was using an app as a smart alarm clock 30 00:02:06,000 --> 00:02:08,280 Speaker 1: set to ring when he was sleeping most lightly in 31 00:02:08,320 --> 00:02:12,200 Speaker 1: the morning. I was super intrigued. I downloaded the app 32 00:02:12,240 --> 00:02:15,000 Speaker 1: and pretty soon realized it would also grade my sleep 33 00:02:15,080 --> 00:02:18,760 Speaker 1: on a one point scale. I love being told whether 34 00:02:18,800 --> 00:02:21,640 Speaker 1: I'm doing things right, so soon it became the first 35 00:02:21,680 --> 00:02:24,720 Speaker 1: thing I looked at every morning. But that wasn't enough. 36 00:02:25,160 --> 00:02:27,840 Speaker 1: I wanted to know why I was sleeping well or poorly, 37 00:02:28,320 --> 00:02:31,760 Speaker 1: so I caved and bought the premium version. That was 38 00:02:31,800 --> 00:02:37,480 Speaker 1: my first real sign of app addiction. Another friend gave 39 00:02:37,520 --> 00:02:40,200 Speaker 1: me a bunch of recommendations for other apps to try. 40 00:02:41,080 --> 00:02:44,160 Speaker 1: I started using a period tracker and telling that app 41 00:02:44,200 --> 00:02:47,760 Speaker 1: about way more than just my menstrual cycle. I recorded 42 00:02:47,760 --> 00:02:51,760 Speaker 1: gastro intestinal side effects, my moods, my sex life. That 43 00:02:51,840 --> 00:02:54,520 Speaker 1: app knew more about me than most real humans did, 44 00:02:55,560 --> 00:02:57,840 Speaker 1: and at the same time, I was researching apps for 45 00:02:57,919 --> 00:03:01,880 Speaker 1: diabetes patients for a magazine article, and then eventually also 46 00:03:01,960 --> 00:03:05,400 Speaker 1: started using a life tracking app linked to my sleep app. 47 00:03:06,120 --> 00:03:08,400 Speaker 1: That one shows you where you are during the day, 48 00:03:09,040 --> 00:03:12,560 Speaker 1: work or shopping or home, et cetera. So I could 49 00:03:12,560 --> 00:03:15,960 Speaker 1: watch how long I spend bicycling to work, walking or 50 00:03:16,000 --> 00:03:19,960 Speaker 1: at the gym. It felt like being able to watch 51 00:03:20,000 --> 00:03:23,400 Speaker 1: all these elements of my life so closely was giving 52 00:03:23,440 --> 00:03:27,440 Speaker 1: me more control over them somehow. But the big question 53 00:03:28,200 --> 00:03:32,800 Speaker 1: was whether it was actually improving my health. For example, 54 00:03:33,040 --> 00:03:36,120 Speaker 1: the sleep app showed me almost immediately what helps me 55 00:03:36,200 --> 00:03:40,520 Speaker 1: sleep well, things like meditating before bed and working out, 56 00:03:41,240 --> 00:03:45,800 Speaker 1: and what kills my sleep basically booze parties and early 57 00:03:45,840 --> 00:03:49,840 Speaker 1: morning light. But my sleep only really improved after my 58 00:03:49,920 --> 00:03:52,880 Speaker 1: life slowed down. I had just come off a jam 59 00:03:52,880 --> 00:03:55,720 Speaker 1: packed spring and summer in which I had moved, finished 60 00:03:55,720 --> 00:04:01,320 Speaker 1: a big project at work, and gotten married, so I 61 00:04:01,400 --> 00:04:04,840 Speaker 1: figured my next step should be collecting more data, which 62 00:04:04,880 --> 00:04:08,200 Speaker 1: meant downloading more apps. I'm part of a team of 63 00:04:08,240 --> 00:04:12,080 Speaker 1: reporters who write about European health and consumer goods companies, 64 00:04:12,440 --> 00:04:16,160 Speaker 1: So I asked my colleagues for recommendations. Their top pick 65 00:04:16,520 --> 00:04:21,279 Speaker 1: was this hugely popular my fitness Pal app. Sportswear company 66 00:04:21,440 --> 00:04:25,240 Speaker 1: under Armour bought this app in for four hundred and 67 00:04:25,279 --> 00:04:30,039 Speaker 1: seventy five million dollars. Here's Michael LaGuardia, under Armour's senior 68 00:04:30,120 --> 00:04:33,960 Speaker 1: vice president of Digital Products, explaining why we look at 69 00:04:34,000 --> 00:04:38,320 Speaker 1: fitness as a holistic activity. That it's about the fuel 70 00:04:38,360 --> 00:04:41,680 Speaker 1: that you put into It's about the activity that you do, 71 00:04:41,880 --> 00:04:44,480 Speaker 1: and my Fitness Pal is there to help you keep 72 00:04:44,520 --> 00:04:48,320 Speaker 1: track of that. The central function of my fitness Pal, 73 00:04:48,920 --> 00:04:52,960 Speaker 1: like so many other fitness apps, is counting calories in 74 00:04:53,200 --> 00:04:58,000 Speaker 1: calories out now. I am almost forty years old and had, 75 00:04:58,200 --> 00:05:01,360 Speaker 1: if you believe it, actually never tried to do this 76 00:05:01,480 --> 00:05:04,719 Speaker 1: in a systematic way before. It's not that I didn't 77 00:05:04,720 --> 00:05:08,400 Speaker 1: read food labels or think about calories. It's just that 78 00:05:08,440 --> 00:05:10,960 Speaker 1: I had always been too lazy to write them down 79 00:05:11,800 --> 00:05:15,200 Speaker 1: and had relied on a combination of exercise and metabolism 80 00:05:15,279 --> 00:05:18,880 Speaker 1: to burn them off. But my colleagues assured me that 81 00:05:18,960 --> 00:05:21,520 Speaker 1: I would be able to find the calorie and nutrition 82 00:05:21,560 --> 00:05:25,040 Speaker 1: facts for almost anything in my Fitness Pal. So on 83 00:05:25,160 --> 00:05:28,680 Speaker 1: February one, I logged my first day's worth of meals. 84 00:05:29,279 --> 00:05:33,000 Speaker 1: The app told me I had eaten about calories, about 85 00:05:33,040 --> 00:05:37,200 Speaker 1: a third of which came from snacks, cookies and peanuts 86 00:05:37,279 --> 00:05:39,880 Speaker 1: I had eaten in the office, and then after work 87 00:05:40,160 --> 00:05:46,040 Speaker 1: bread and patte with a colleague. Oh dear, at least 88 00:05:46,040 --> 00:05:52,760 Speaker 1: I'd skipped having any wine. The app lets you set 89 00:05:52,760 --> 00:05:55,400 Speaker 1: a calorie target based on whether you want to lose, 90 00:05:55,600 --> 00:05:59,680 Speaker 1: maintain or gain weight. I set my target on maintain 91 00:06:00,040 --> 00:06:03,360 Speaker 1: and kept on logging. The easiest things to record were 92 00:06:03,400 --> 00:06:07,520 Speaker 1: straightforward items like pieces of fruit or eggs, but logging 93 00:06:07,600 --> 00:06:12,279 Speaker 1: anything I cooked for myself, arguably the healthiest choice, required 94 00:06:12,279 --> 00:06:16,000 Speaker 1: a bit of guesswork. To find out what the evidence 95 00:06:16,120 --> 00:06:19,440 Speaker 1: is that this app, or any app can improve its 96 00:06:19,520 --> 00:06:23,640 Speaker 1: users health. I called Yuka B. M Seran, a doctor 97 00:06:23,640 --> 00:06:28,120 Speaker 1: and researcher at Bond University in Australia. She published one 98 00:06:28,120 --> 00:06:31,680 Speaker 1: of the few overview studies of the effectiveness of digital 99 00:06:31,680 --> 00:06:35,720 Speaker 1: health apps last year. We came to this research as 100 00:06:35,960 --> 00:06:38,920 Speaker 1: you know, just any other twenty one century UM citizen 101 00:06:39,000 --> 00:06:41,800 Speaker 1: with smartphones, and we started seeing a lot of UM 102 00:06:41,960 --> 00:06:46,200 Speaker 1: news and articles on how smartphone apps are treating this 103 00:06:46,360 --> 00:06:49,480 Speaker 1: thing and that thing, and it's you know, being um 104 00:06:49,520 --> 00:06:52,800 Speaker 1: taught it as the next big thing in health and 105 00:06:52,880 --> 00:06:56,880 Speaker 1: tech world. Science is very specific about how we know 106 00:06:57,080 --> 00:07:00,760 Speaker 1: medical treatments work, but that's not the case when it 107 00:07:00,760 --> 00:07:04,919 Speaker 1: comes to consumer products. Like most health apps. Or Yucca 108 00:07:05,040 --> 00:07:10,040 Speaker 1: started looking for rigorous studies. She surveyed almost eight hundred 109 00:07:10,360 --> 00:07:16,520 Speaker 1: trials of apps conducted between two thousand eight and but 110 00:07:16,600 --> 00:07:20,160 Speaker 1: once she looked more closely, she found only a handful 111 00:07:20,200 --> 00:07:23,400 Speaker 1: of the studies showed the apps had some meaningful effect 112 00:07:23,480 --> 00:07:28,160 Speaker 1: on health outcomes. Since then, drugmakers have started looking more 113 00:07:28,280 --> 00:07:31,800 Speaker 1: at apps that could be used as therapies. Swiss Dukes 114 00:07:31,840 --> 00:07:35,320 Speaker 1: Giant Novartis got US approval for one to treat substance 115 00:07:35,360 --> 00:07:39,840 Speaker 1: abuse last year, But across the app world, or Yucca 116 00:07:39,920 --> 00:07:44,440 Speaker 1: says evidence still remains a rare commodity. We would estimate 117 00:07:44,520 --> 00:07:46,920 Speaker 1: that less than one percent of all of these apps 118 00:07:46,960 --> 00:07:50,680 Speaker 1: are actually being tasted, and for apps that aren't being 119 00:07:50,680 --> 00:07:54,560 Speaker 1: reviewed by health regulators, just having done any kind of 120 00:07:54,600 --> 00:07:57,480 Speaker 1: test can be a marketing point no matter what the 121 00:07:57,520 --> 00:08:03,080 Speaker 1: outcome was. The term for the is experrammercial, a combination 122 00:08:03,280 --> 00:08:08,120 Speaker 1: of experiment and commercial, and when the study doesn't show 123 00:08:08,160 --> 00:08:10,840 Speaker 1: any benefit, they don't mention it, but they would mention 124 00:08:10,880 --> 00:08:14,600 Speaker 1: in the app description that our app has been scientifically tested, 125 00:08:15,160 --> 00:08:18,400 Speaker 1: and that kind of gives this false notion of legitimacy 126 00:08:18,760 --> 00:08:23,280 Speaker 1: to the potential customers and consumers. My Fitness Pal was 127 00:08:23,320 --> 00:08:25,880 Speaker 1: among the few apps or Yuka found that had been 128 00:08:25,880 --> 00:08:30,240 Speaker 1: tested in an independent clinical trial conducted about five years 129 00:08:30,280 --> 00:08:34,080 Speaker 1: ago in Los Angeles. The study randomly assigned two hundred 130 00:08:34,120 --> 00:08:37,680 Speaker 1: and twelve overweight adults to either use the app or 131 00:08:37,720 --> 00:08:41,480 Speaker 1: to pursue and I quote any activities you would like 132 00:08:41,559 --> 00:08:46,079 Speaker 1: to lose weight. After six months, neither group lost much weight. 133 00:08:47,040 --> 00:08:50,280 Speaker 1: The researchers did speculate, though, that the app might be 134 00:08:50,400 --> 00:08:53,319 Speaker 1: useful for patients who were already trying to watch their 135 00:08:53,360 --> 00:08:57,760 Speaker 1: calorie intake. I asked Michael, the under Armour executive, for 136 00:08:57,880 --> 00:09:01,760 Speaker 1: his thoughts on the results. It's absolutely directly in line 137 00:09:01,800 --> 00:09:04,200 Speaker 1: with our experience with this app. You know, like I said, 138 00:09:04,280 --> 00:09:06,319 Speaker 1: it's not We don't think of it as a health 139 00:09:06,320 --> 00:09:07,720 Speaker 1: to it. We don't think of it as something that 140 00:09:07,800 --> 00:09:10,000 Speaker 1: someone would say, put this on your phone, you will 141 00:09:10,040 --> 00:09:13,280 Speaker 1: get better. We think of it as an integral part 142 00:09:13,440 --> 00:09:16,280 Speaker 1: in someone's journey when they've made the decision I'm going 143 00:09:16,320 --> 00:09:18,840 Speaker 1: to change my life. I'm going to hit some fitness goals, 144 00:09:19,160 --> 00:09:22,199 Speaker 1: will be there to help. Maybe that was the problem 145 00:09:22,240 --> 00:09:25,680 Speaker 1: with my diet app experiment. I didn't start out with 146 00:09:25,720 --> 00:09:29,560 Speaker 1: a particular fitness goal. I wasn't actually trying to change 147 00:09:29,559 --> 00:09:34,600 Speaker 1: my body or my life, and in fact another force 148 00:09:34,760 --> 00:09:38,760 Speaker 1: was at work want a lot stronger than willpower or workouts. 149 00:09:39,920 --> 00:09:46,040 Speaker 1: I was pregnant, and so for the first time practically 150 00:09:46,080 --> 00:09:49,800 Speaker 1: since puberty, my body felt like it was careening out 151 00:09:49,800 --> 00:09:53,720 Speaker 1: of my control. Low carb diet hard to handle when 152 00:09:53,760 --> 00:09:55,800 Speaker 1: you need to eat toast practically as soon as you 153 00:09:55,840 --> 00:09:57,680 Speaker 1: open your eyes in the morning in order to settle 154 00:09:57,679 --> 00:10:00,880 Speaker 1: your stomach, and I knew I would to gain weight, 155 00:10:01,160 --> 00:10:05,560 Speaker 1: not maintain it, let alone lose it. Still, I kept 156 00:10:05,640 --> 00:10:09,600 Speaker 1: logging my meals and my exercise. I started to read 157 00:10:09,640 --> 00:10:13,040 Speaker 1: more about the nutrients I would need for a healthy pregnancy, 158 00:10:13,200 --> 00:10:16,520 Speaker 1: and I started to get a little obsessive about making 159 00:10:16,559 --> 00:10:21,839 Speaker 1: sure I logged them. When my fitness pal inexplicably didn't 160 00:10:21,880 --> 00:10:24,960 Speaker 1: record the calcium in my brand of yogurt, it felt 161 00:10:25,040 --> 00:10:29,280 Speaker 1: like a personal insult. I started keeping a very very 162 00:10:29,320 --> 00:10:33,160 Speaker 1: close eye on my protein intake, and I started worrying 163 00:10:33,160 --> 00:10:36,640 Speaker 1: about whether I was getting too much vitamin A, something 164 00:10:36,720 --> 00:10:39,880 Speaker 1: that would never have occurred to me before from eating 165 00:10:39,920 --> 00:10:43,520 Speaker 1: too many are rubulous salads. I started to wonder whether 166 00:10:43,559 --> 00:10:48,160 Speaker 1: I was monitoring myself a little too much. Today we're 167 00:10:48,200 --> 00:10:53,000 Speaker 1: being reminded every single minute of how sub optimized we 168 00:10:53,040 --> 00:10:55,160 Speaker 1: are and what we should be doing in order to 169 00:10:55,240 --> 00:11:00,760 Speaker 1: be more optimized. That's Carl Staderstrom, an associate professor at 170 00:11:00,760 --> 00:11:04,000 Speaker 1: Stockholm Business School. He co wrote a book called The 171 00:11:04,000 --> 00:11:07,040 Speaker 1: Wellness Syndrome, in which he argued that the pressure to 172 00:11:07,120 --> 00:11:12,880 Speaker 1: become ever healthier is actually anything but healthy. For another project, 173 00:11:12,960 --> 00:11:16,719 Speaker 1: he also used himself as a guinea pig. So what 174 00:11:16,800 --> 00:11:19,600 Speaker 1: I did was that I was using an app to 175 00:11:20,640 --> 00:11:24,640 Speaker 1: log everything that I was eating. I was also using 176 00:11:25,080 --> 00:11:29,880 Speaker 1: one of these wearables of wrist band that logged my 177 00:11:30,200 --> 00:11:34,240 Speaker 1: sleeping and logged the activity I was doing during the day. 178 00:11:34,480 --> 00:11:37,120 Speaker 1: And then I was spending all my days in the gym, 179 00:11:37,280 --> 00:11:40,240 Speaker 1: and I was, over the course of that month gaining 180 00:11:40,320 --> 00:11:43,080 Speaker 1: something like eight kilos, And the month ended with me 181 00:11:43,120 --> 00:11:48,000 Speaker 1: participating in a weightlifting competition which I incidentally ended upcoming 182 00:11:48,280 --> 00:11:53,319 Speaker 1: last in. Carl writes about our society's obsession with wellness 183 00:11:53,800 --> 00:11:57,720 Speaker 1: as being part of an individualistic culture. Where you need 184 00:11:57,760 --> 00:12:00,960 Speaker 1: to demonstrate that you're performing at your peak okay, where 185 00:12:01,000 --> 00:12:04,760 Speaker 1: there's a moral value linked with how your body looks, 186 00:12:04,840 --> 00:12:08,640 Speaker 1: and also where workers who spend their days emailing and 187 00:12:08,880 --> 00:12:13,280 Speaker 1: organizing seek satisfaction or at least a sense of having 188 00:12:13,320 --> 00:12:16,600 Speaker 1: something to show for their efforts from improving their bodies. 189 00:12:17,600 --> 00:12:20,040 Speaker 1: He says health apps are a lot like an idea 190 00:12:20,160 --> 00:12:24,360 Speaker 1: from Freud, where your conscience prods you to do what 191 00:12:24,440 --> 00:12:27,880 Speaker 1: you know you should do but don't want to. So 192 00:12:27,920 --> 00:12:33,200 Speaker 1: it is using an app as this little angry man 193 00:12:33,400 --> 00:12:37,560 Speaker 1: sitting on your shoulder, constantly telling you that what you 194 00:12:37,640 --> 00:12:41,040 Speaker 1: do is wrong and what you should be doing is 195 00:12:41,800 --> 00:12:46,040 Speaker 1: this or that. And I think it's says something about 196 00:12:46,080 --> 00:12:49,080 Speaker 1: how difficult it is for for all your humans and 197 00:12:49,120 --> 00:12:53,880 Speaker 1: probably always been, to live the way that we are 198 00:12:54,080 --> 00:12:57,280 Speaker 1: supposed to be living. And I think to some extent, 199 00:12:57,800 --> 00:13:00,760 Speaker 1: the whole idea of being human is that we are imperfect. 200 00:13:00,800 --> 00:13:04,040 Speaker 1: There's no way of always being able to do everything 201 00:13:04,120 --> 00:13:06,960 Speaker 1: that we're supposed to be doing. But I think what's 202 00:13:07,000 --> 00:13:10,880 Speaker 1: different today than in the past, and the health apps 203 00:13:11,080 --> 00:13:12,840 Speaker 1: are a big part of this, is that we are 204 00:13:12,880 --> 00:13:17,640 Speaker 1: being reminded seven that we're not living up to that 205 00:13:17,800 --> 00:13:22,120 Speaker 1: idealized version of ourselves. Carl argues that this focus on 206 00:13:22,240 --> 00:13:26,600 Speaker 1: self optimization is part of a larger political development in 207 00:13:26,640 --> 00:13:30,920 Speaker 1: which health is viewed more as an individual concern and 208 00:13:31,160 --> 00:13:35,880 Speaker 1: less as a broader social good, and the more society 209 00:13:36,000 --> 00:13:39,760 Speaker 1: moves in that direction, the easier it becomes to demonize 210 00:13:39,760 --> 00:13:42,920 Speaker 1: and ridicule people who do not have the resources to 211 00:13:43,000 --> 00:13:46,240 Speaker 1: look after their own health. Talking to Carl made me 212 00:13:46,280 --> 00:13:49,679 Speaker 1: think about my own app experiments in a different way. 213 00:13:50,160 --> 00:13:54,400 Speaker 1: There I was obsessing about vitamin A and analyzing the 214 00:13:54,480 --> 00:13:58,360 Speaker 1: nutrition content of the free protein bars in the Bloomberg pantry. 215 00:13:59,240 --> 00:14:07,960 Speaker 1: The whole thing seemed so narcissistic. There was one time, though, 216 00:14:08,640 --> 00:14:11,720 Speaker 1: that an app did help me do something that's actually 217 00:14:11,760 --> 00:14:15,960 Speaker 1: objectively healthy. I quit smoking a couple of years ago. 218 00:14:16,720 --> 00:14:20,320 Speaker 1: As any former smoker would know, the way cigarettes fit 219 00:14:20,400 --> 00:14:22,760 Speaker 1: into your daily ritual is one of the things that 220 00:14:22,840 --> 00:14:26,240 Speaker 1: make it super hard to quit. I used to love 221 00:14:26,320 --> 00:14:29,120 Speaker 1: smoking in the late afternoon. It's a little moment to 222 00:14:29,200 --> 00:14:31,560 Speaker 1: rest my brain before the last few hours of my 223 00:14:31,640 --> 00:14:35,120 Speaker 1: work day. So once I quit, I started using a 224 00:14:35,120 --> 00:14:39,320 Speaker 1: meditation app called Headspace as a replacement. I didn't think 225 00:14:39,360 --> 00:14:42,240 Speaker 1: of Headspace at the time as a health app. Per se. 226 00:14:43,120 --> 00:14:46,600 Speaker 1: It has more than one million paying subscribers and offers 227 00:14:46,640 --> 00:14:49,760 Speaker 1: everything from a cat's and boats soundscape for falling asleep 228 00:14:50,200 --> 00:14:54,640 Speaker 1: to meditation prep for students who are taking exams. But 229 00:14:54,680 --> 00:14:57,520 Speaker 1: when I talked to the apps chief science officer, Megan 230 00:14:57,600 --> 00:15:01,080 Speaker 1: Jones Bell I found out that they actually do see 231 00:15:01,120 --> 00:15:05,080 Speaker 1: themselves that way. The company says there are sixty seven 232 00:15:05,200 --> 00:15:09,560 Speaker 1: randomized clinical trials being done on its app, including studies 233 00:15:09,600 --> 00:15:13,280 Speaker 1: on everything from quitting smoking to managing stress and pain. 234 00:15:14,160 --> 00:15:17,160 Speaker 1: There are a number of ways that people can use 235 00:15:17,240 --> 00:15:21,800 Speaker 1: meditation to improve their health and happiness, and that can 236 00:15:21,920 --> 00:15:24,280 Speaker 1: range from using it as we think about it as 237 00:15:24,360 --> 00:15:27,520 Speaker 1: kind of a vitamin, which means that you are um 238 00:15:27,600 --> 00:15:31,400 Speaker 1: using it more on a preventative health capacity, such as 239 00:15:31,560 --> 00:15:35,280 Speaker 1: trying to boost your resilience to stress, which is something 240 00:15:35,320 --> 00:15:38,000 Speaker 1: that we have researched in a number of our trials 241 00:15:38,040 --> 00:15:41,040 Speaker 1: and have a number of very rigorous studies underway looking 242 00:15:41,080 --> 00:15:43,840 Speaker 1: at how that actually has proven out in brain changes. 243 00:15:44,560 --> 00:15:47,200 Speaker 1: The company is also working on a separate version of 244 00:15:47,240 --> 00:15:50,640 Speaker 1: its app that doctors could prescribe to their patients like 245 00:15:50,720 --> 00:15:55,160 Speaker 1: a medicine. This is more complicated because Headspace needs to 246 00:15:55,200 --> 00:15:58,640 Speaker 1: figure out with the food and Drug administration how best 247 00:15:58,680 --> 00:16:01,400 Speaker 1: to test the new app and regulate it to make 248 00:16:01,400 --> 00:16:05,640 Speaker 1: sure it works. Headspace hasn't started these trials yet, and 249 00:16:05,680 --> 00:16:07,600 Speaker 1: it could be a couple of years before the new 250 00:16:07,640 --> 00:16:11,960 Speaker 1: product has approved. I asked Megan why Headspace would spend 251 00:16:12,000 --> 00:16:15,960 Speaker 1: money in the meantime testing its consumer app too, when 252 00:16:16,000 --> 00:16:19,960 Speaker 1: there's no regulator demanding data. I think, because we're really 253 00:16:20,080 --> 00:16:24,360 Speaker 1: playing the long game here. Our science strategy is not 254 00:16:24,600 --> 00:16:28,760 Speaker 1: unlike the way that we've approached redefining the brand of meditation. 255 00:16:28,840 --> 00:16:33,040 Speaker 1: You can think about Headspace as origins and really changing 256 00:16:33,080 --> 00:16:38,200 Speaker 1: the cultural perception of meditation and mindfulness, and you know, 257 00:16:38,240 --> 00:16:41,120 Speaker 1: we've certainly lifted all ships in the process of doing 258 00:16:41,160 --> 00:16:44,320 Speaker 1: that and really helping create this market and moving it 259 00:16:44,400 --> 00:16:47,440 Speaker 1: out of this kind of more woo woo experience into 260 00:16:47,480 --> 00:16:52,960 Speaker 1: something that is very approachable for a diverse range of 261 00:16:52,960 --> 00:16:56,040 Speaker 1: of consumers. A few studies are also being done on 262 00:16:56,080 --> 00:17:00,560 Speaker 1: headspaces big competitor, the app Calm, So when these trials 263 00:17:00,600 --> 00:17:04,000 Speaker 1: read out, assuming the results are published, we should get 264 00:17:04,000 --> 00:17:06,760 Speaker 1: a better idea if at least this particular corner of 265 00:17:06,800 --> 00:17:10,360 Speaker 1: the app market works. Some in the health apps industry 266 00:17:10,480 --> 00:17:14,280 Speaker 1: think that an evidence space will become more necessary across 267 00:17:14,320 --> 00:17:17,119 Speaker 1: the market as a whole, not just for apps that 268 00:17:17,119 --> 00:17:21,600 Speaker 1: could be prescribed as medicines. I talked to Carl Johann Hateroth, 269 00:17:22,200 --> 00:17:25,440 Speaker 1: CEO of sleep Cycle, the alarm clock app that got 270 00:17:25,440 --> 00:17:29,120 Speaker 1: me started on this project. It's really really interesting for us. 271 00:17:30,359 --> 00:17:34,040 Speaker 1: I think the whole industry is heading in that direction. 272 00:17:34,640 --> 00:17:38,360 Speaker 1: I think this industry is going to be regulated in 273 00:17:38,400 --> 00:17:43,080 Speaker 1: some way the coming years. I don't know exactly how, 274 00:17:43,640 --> 00:17:48,320 Speaker 1: but I think it will. And I mean, we like that. 275 00:17:52,200 --> 00:17:56,280 Speaker 1: And now I have a confession to make. Like a 276 00:17:56,320 --> 00:17:59,320 Speaker 1: lot of health app users, I wound up using what 277 00:17:59,440 --> 00:18:03,520 Speaker 1: kept me in attained and dropping the rest. I'm still 278 00:18:03,600 --> 00:18:06,600 Speaker 1: using sleep Cycle, partly because I like to compete with 279 00:18:06,640 --> 00:18:08,760 Speaker 1: my husband to see who gets a better night's sleep, 280 00:18:09,720 --> 00:18:12,320 Speaker 1: and because I take a morbid interest in seeing how 281 00:18:12,400 --> 00:18:14,600 Speaker 1: much worse my sleep might get as I get more 282 00:18:14,600 --> 00:18:18,679 Speaker 1: and more pregnant. Well you know what I mean, bigger 283 00:18:18,720 --> 00:18:24,199 Speaker 1: and bigger. But my fitness pal was more complicated. The 284 00:18:24,280 --> 00:18:26,880 Speaker 1: turning point was around the time when I was moving 285 00:18:27,040 --> 00:18:30,560 Speaker 1: from the she ate too many burritos to the is 286 00:18:30,600 --> 00:18:33,919 Speaker 1: that a bump stage of pregnancy. I noticed that on 287 00:18:33,960 --> 00:18:37,000 Speaker 1: the weekends when I would skip the app, I felt 288 00:18:37,080 --> 00:18:40,359 Speaker 1: so much better about my food intake. And during the 289 00:18:40,440 --> 00:18:44,320 Speaker 1: week when I was worrying about protein and calcium and 290 00:18:44,600 --> 00:18:48,160 Speaker 1: vitamins and calories, I felt like I was going crazy. 291 00:18:49,040 --> 00:18:52,440 Speaker 1: I would look up online calculators to reassure myself that 292 00:18:52,480 --> 00:18:56,280 Speaker 1: my weight gain was within normal parameters, and then beat 293 00:18:56,320 --> 00:18:59,960 Speaker 1: myself up for not hitting a nutrient target even though 294 00:19:00,080 --> 00:19:03,359 Speaker 1: I had exceeded my calorie goal for the day. My 295 00:19:03,440 --> 00:19:07,800 Speaker 1: husband Philip actually started to worry about me. I mean, 296 00:19:07,800 --> 00:19:09,720 Speaker 1: I wouldn't say it was crazy. You use the word 297 00:19:09,720 --> 00:19:12,960 Speaker 1: crazy before. I wouldn't say it was crazy, but definitely 298 00:19:13,960 --> 00:19:17,400 Speaker 1: you were a bit obsessed. I remember you always telling 299 00:19:17,440 --> 00:19:24,280 Speaker 1: me like not to worry so much about weight during pregnancy, 300 00:19:24,440 --> 00:19:27,600 Speaker 1: and I wonder whether some of the experience with this 301 00:19:27,760 --> 00:19:33,000 Speaker 1: was just tied together with that as well. That could 302 00:19:33,000 --> 00:19:35,119 Speaker 1: definitely be the case. I mean, I do remember that 303 00:19:35,200 --> 00:19:38,400 Speaker 1: you asked very often like, oh God, am I too big? 304 00:19:38,440 --> 00:19:41,560 Speaker 1: Am I gaining too much weight? And I then, I mean, 305 00:19:41,600 --> 00:19:45,240 Speaker 1: I even get angry about this question because it's not 306 00:19:45,359 --> 00:19:48,640 Speaker 1: a competition of like who gains more or who gains 307 00:19:48,720 --> 00:19:52,320 Speaker 1: less weight during pregnancy. Your body does. What your body 308 00:19:52,320 --> 00:19:55,400 Speaker 1: does in each pregnancy is different. Different. At some point 309 00:19:55,400 --> 00:19:57,919 Speaker 1: in time, I was afraid that you would, I don't know, 310 00:19:58,000 --> 00:20:01,440 Speaker 1: stop eating when you if you thought that you had 311 00:20:01,520 --> 00:20:05,160 Speaker 1: gained too much weight, which would maybe have been unhealthy 312 00:20:05,240 --> 00:20:08,560 Speaker 1: for you or the baby. And if an app makes 313 00:20:08,560 --> 00:20:11,000 Speaker 1: you even consider something like that, it's definitely not a 314 00:20:11,000 --> 00:20:14,560 Speaker 1: good app. After Philip told me that, I quit using 315 00:20:14,600 --> 00:20:18,960 Speaker 1: the app. But not everybody is as neurotic as I am, 316 00:20:19,000 --> 00:20:21,879 Speaker 1: and with so little evidence about health apps and health, 317 00:20:22,400 --> 00:20:24,640 Speaker 1: I think the bottom line here is that you can 318 00:20:24,680 --> 00:20:27,800 Speaker 1: take what's good for you and just leave the rest behind, 319 00:20:28,680 --> 00:20:31,800 Speaker 1: and that sometimes the more you try to control things 320 00:20:32,320 --> 00:20:36,240 Speaker 1: to optimize yourself, as Carl would say, the more you 321 00:20:36,320 --> 00:20:54,800 Speaker 1: eventually realize that you just need to let go. And 322 00:20:54,880 --> 00:20:58,840 Speaker 1: that's it for this week's prognosis. Thanks for listening. Do 323 00:20:58,840 --> 00:21:00,679 Speaker 1: you have a story about healthy in the u S. 324 00:21:00,800 --> 00:21:03,320 Speaker 1: We're around the world we want to hear from you. 325 00:21:03,880 --> 00:21:07,200 Speaker 1: Find me on Twitter at Fay Cortes or email m 326 00:21:07,280 --> 00:21:11,000 Speaker 1: Cortes at Bloomberg dot net. If you're a fan of 327 00:21:11,000 --> 00:21:13,600 Speaker 1: this episode, please take a minute to rate and review us. 328 00:21:13,960 --> 00:21:17,000 Speaker 1: It really helps new listeners find the show, and don't 329 00:21:17,000 --> 00:21:20,440 Speaker 1: forget to subscribe. This episode was produced by Liz Smith, 330 00:21:20,600 --> 00:21:25,440 Speaker 1: and tofor forehaz Our story editor was Rick Shine. Francesco 331 00:21:25,560 --> 00:21:28,840 Speaker 1: leave as head of Bloomberg Podcasts. We'll be back with 332 00:21:28,840 --> 00:21:31,560 Speaker 1: our next episode on July four. See you then,