1 00:00:01,160 --> 00:00:03,560 Speaker 1: It's almost seven thirty and I just got in from 2 00:00:03,560 --> 00:00:06,760 Speaker 1: my morning walk. Thanks to my fitbit and my phone, 3 00:00:07,360 --> 00:00:10,000 Speaker 1: I know that I'm already more than halfway to hitting 4 00:00:10,000 --> 00:00:13,560 Speaker 1: my ten thousand step target for the day. I have 5 00:00:14,080 --> 00:00:20,279 Speaker 1: my fitbit who says that I have walked seven thousand 6 00:00:20,400 --> 00:00:24,360 Speaker 1: and thirty one steps. And you know what I have 7 00:00:24,640 --> 00:00:30,319 Speaker 1: on my phone as well, another health app, and that 8 00:00:30,360 --> 00:00:33,920 Speaker 1: one says I've done seven thousand, four hundred and eleven steps. 9 00:00:34,520 --> 00:00:36,839 Speaker 1: Now that it's warmer out, I'm on tract to beat 10 00:00:36,920 --> 00:00:41,040 Speaker 1: last week's numbers two. But I'll admit sometimes I wonder 11 00:00:41,080 --> 00:00:53,800 Speaker 1: if my fitbit really makes me any more fit. Welcome 12 00:00:53,800 --> 00:00:57,280 Speaker 1: to Prognosis, Bloomberg's podcast about the interception of health and 13 00:00:57,320 --> 00:01:01,800 Speaker 1: technology and the unexpected places taking us. I'm your host, 14 00:01:01,920 --> 00:01:05,480 Speaker 1: Michelle fe Cortes. Even if you never use it, you 15 00:01:05,560 --> 00:01:07,880 Speaker 1: most likely have a health app installed on your phone. 16 00:01:08,760 --> 00:01:12,440 Speaker 1: Apple Health, which comes with every iPhone, can clock everything 17 00:01:12,480 --> 00:01:16,360 Speaker 1: from steps to sleep. Some three thousand digital health apps 18 00:01:16,360 --> 00:01:18,440 Speaker 1: are competing for a share of the market to help 19 00:01:18,480 --> 00:01:22,760 Speaker 1: you track your calories, watch your blood sugar, guide your workouts, 20 00:01:23,319 --> 00:01:27,280 Speaker 1: or help you meditate. In the last episode, we told 21 00:01:27,280 --> 00:01:29,920 Speaker 1: you what these apps are doing with your data. This time, 22 00:01:30,280 --> 00:01:33,080 Speaker 1: my colleague Naomi Krasky looks into what the health apps 23 00:01:33,160 --> 00:01:43,960 Speaker 1: can do for their users. For us, My app addiction 24 00:01:44,120 --> 00:01:47,320 Speaker 1: started last year when a friend of a friend told 25 00:01:47,360 --> 00:01:49,600 Speaker 1: me he was using an app as a smart alarm 26 00:01:49,640 --> 00:01:52,680 Speaker 1: clock set to ring when he was sleeping most lightly 27 00:01:52,720 --> 00:01:56,400 Speaker 1: in the morning. I was super intrigued. I downloaded the 28 00:01:56,440 --> 00:01:58,920 Speaker 1: app and pretty soon realized it would also grade in 29 00:01:59,000 --> 00:02:02,600 Speaker 1: my sleep on a hundred point scale. I love being 30 00:02:02,640 --> 00:02:05,720 Speaker 1: told whether I'm doing things right, so soon it became 31 00:02:05,760 --> 00:02:08,520 Speaker 1: the first thing I looked at every morning. But that 32 00:02:08,600 --> 00:02:11,520 Speaker 1: wasn't enough. I wanted to know why I was sleeping 33 00:02:11,520 --> 00:02:14,960 Speaker 1: well or poorly, so I caved and bought the premium version. 34 00:02:15,880 --> 00:02:21,400 Speaker 1: That was my first real sign of app addiction. Another 35 00:02:21,480 --> 00:02:24,239 Speaker 1: friend gave me a bunch of recommendations for other apps 36 00:02:24,280 --> 00:02:28,160 Speaker 1: to try. I started using a period tracker and telling 37 00:02:28,200 --> 00:02:30,840 Speaker 1: that app about way more than just my menstrual cycle. 38 00:02:31,639 --> 00:02:35,600 Speaker 1: I recorded gastro intestinal side effects, my moods, my sex life. 39 00:02:36,120 --> 00:02:39,000 Speaker 1: That app knew more about me than most real humans did. 40 00:02:40,080 --> 00:02:42,360 Speaker 1: And at the same time I was researching apps for 41 00:02:42,400 --> 00:02:46,359 Speaker 1: diabetes patients for a magazine article, and then eventually also 42 00:02:46,440 --> 00:02:49,880 Speaker 1: started using a life tracking app linked to my sleep app. 43 00:02:50,600 --> 00:02:52,920 Speaker 1: That one shows you where you are during the day, 44 00:02:53,520 --> 00:02:57,000 Speaker 1: work or shopping or home, et cetera. So I could 45 00:02:57,040 --> 00:03:00,440 Speaker 1: watch how long I spend bicycling to work, walking, or 46 00:03:00,520 --> 00:03:04,359 Speaker 1: at the gym. It felt like being able to watch 47 00:03:04,480 --> 00:03:07,880 Speaker 1: all these elements of my life so closely was giving 48 00:03:07,919 --> 00:03:11,960 Speaker 1: me more control over them somehow. But the big question 49 00:03:12,720 --> 00:03:17,280 Speaker 1: was whether it was actually improving my health. For example, 50 00:03:17,520 --> 00:03:20,640 Speaker 1: the sleep app showed me almost immediately what helps me 51 00:03:20,680 --> 00:03:25,000 Speaker 1: sleep well, things like meditating before bed and working out, 52 00:03:25,760 --> 00:03:30,280 Speaker 1: and what kills my sleep basically booze parties and early 53 00:03:30,320 --> 00:03:34,320 Speaker 1: morning light. But my sleep only really improved after my 54 00:03:34,400 --> 00:03:37,360 Speaker 1: life slowed down. I had just come off a jam 55 00:03:37,400 --> 00:03:40,240 Speaker 1: packed spring and summer in which I had moved, finished 56 00:03:40,240 --> 00:03:45,840 Speaker 1: a big project at work, and gotten married. So I 57 00:03:45,880 --> 00:03:49,360 Speaker 1: figured my next step should be collecting more data, which 58 00:03:49,360 --> 00:03:52,680 Speaker 1: meant downloading more apps. I'm part of a team of 59 00:03:52,720 --> 00:03:56,560 Speaker 1: reporters who write about European health and consumer goods companies, 60 00:03:56,920 --> 00:04:00,680 Speaker 1: so I asked my colleagues for recommendations. The top pick 61 00:04:01,040 --> 00:04:05,800 Speaker 1: was the hugely popular my Fitness Pal app. Sportswear company 62 00:04:05,920 --> 00:04:09,720 Speaker 1: under Armour bought this app in for four hundred and 63 00:04:09,760 --> 00:04:14,520 Speaker 1: seventy five million dollars. Here's Michael Lagardia, under Armour's senior 64 00:04:14,640 --> 00:04:18,480 Speaker 1: vice president of Digital Products, explaining why we look at 65 00:04:18,480 --> 00:04:22,800 Speaker 1: fitness as a holistic activity. That it's about the fuel 66 00:04:22,839 --> 00:04:26,160 Speaker 1: that you put into It's about the activity that you do, 67 00:04:26,360 --> 00:04:28,960 Speaker 1: and my Fitness Pal is there to help you keep 68 00:04:29,000 --> 00:04:32,800 Speaker 1: track of that. The central function of my Fitness Pal, 69 00:04:33,400 --> 00:04:37,440 Speaker 1: like so many other fitness apps, is counting calories in 70 00:04:37,680 --> 00:04:42,520 Speaker 1: calories out Now. I am almost forty years old and had, 71 00:04:42,720 --> 00:04:45,880 Speaker 1: if you believe it, actually never tried to do this 72 00:04:45,960 --> 00:04:49,200 Speaker 1: in a systematic way before. It's not that I didn't 73 00:04:49,200 --> 00:04:52,920 Speaker 1: read food labels or think about calories. It's just that 74 00:04:52,960 --> 00:04:55,440 Speaker 1: I had always been too lazy to write them down 75 00:04:56,320 --> 00:04:59,680 Speaker 1: and had relied on a combination of exercise and metabolism 76 00:04:59,760 --> 00:05:03,400 Speaker 1: to burn them off. But my colleagues assured me that 77 00:05:03,440 --> 00:05:06,000 Speaker 1: I would be able to find the calorie and nutrition 78 00:05:06,040 --> 00:05:09,520 Speaker 1: facts for almost anything in my Fitness Pal. So in 79 00:05:09,640 --> 00:05:13,159 Speaker 1: February one, I logged my first day's worth of meals. 80 00:05:13,760 --> 00:05:17,520 Speaker 1: The app told me I had eaten about calories, about 81 00:05:17,520 --> 00:05:21,720 Speaker 1: a third of which came from snacks, cookies, and peanuts. 82 00:05:21,760 --> 00:05:24,400 Speaker 1: I had eatn in the office and then after work 83 00:05:24,640 --> 00:05:30,480 Speaker 1: bread and patte with a colleague. Oh dear, at least 84 00:05:30,520 --> 00:05:37,239 Speaker 1: I'd skipped having any wine. The app lets you set 85 00:05:37,240 --> 00:05:39,880 Speaker 1: a calorie target based on whether you want to lose, 86 00:05:40,080 --> 00:05:44,159 Speaker 1: maintain or gain weight. I set my target on maintain 87 00:05:44,440 --> 00:05:47,840 Speaker 1: and kept on logging. The easiest things to record were 88 00:05:47,880 --> 00:05:52,000 Speaker 1: straightforward items like pieces of fruit or eggs, but logging 89 00:05:52,080 --> 00:05:56,760 Speaker 1: anything I'd cooked for myself, arguably the healthiest choice, required 90 00:05:56,800 --> 00:06:00,680 Speaker 1: a bit of guesswork to find out what the evidences 91 00:06:00,800 --> 00:06:04,680 Speaker 1: that this app, or any app can improve its users health. 92 00:06:05,279 --> 00:06:08,839 Speaker 1: I called Yucca b am Seran, a doctor and researcher 93 00:06:08,960 --> 00:06:12,839 Speaker 1: at Bond University in Australia. She published one of the 94 00:06:12,960 --> 00:06:16,800 Speaker 1: few overview studies of the effectiveness of digital health apps 95 00:06:16,960 --> 00:06:20,640 Speaker 1: last year. We came to this research as you know, 96 00:06:20,760 --> 00:06:24,480 Speaker 1: just any other twenty one century UM citizen with smartphones, 97 00:06:24,520 --> 00:06:26,920 Speaker 1: and we started seeing a lot of UM news and 98 00:06:27,040 --> 00:06:31,240 Speaker 1: articles on how smartphone apps are treating this thing and 99 00:06:31,320 --> 00:06:34,360 Speaker 1: that thing, and it's you know, being UM taught it 100 00:06:34,440 --> 00:06:38,040 Speaker 1: as the next big thing in health and tech. World. 101 00:06:38,520 --> 00:06:42,839 Speaker 1: Science is very specific about how we know medical treatments work, 102 00:06:43,680 --> 00:06:47,040 Speaker 1: but that's not the case when it comes to consumer products. 103 00:06:47,040 --> 00:06:51,640 Speaker 1: Like most health apps a Yucca started looking for rigorous studies. 104 00:06:52,240 --> 00:06:57,320 Speaker 1: She surveyed almost eight hundred trials of apps conducted between 105 00:06:57,360 --> 00:07:02,480 Speaker 1: two thousand eight and but once she looked more closely, 106 00:07:03,120 --> 00:07:05,880 Speaker 1: she found only a handful of the studies showed the 107 00:07:05,880 --> 00:07:10,480 Speaker 1: apps have some meaningful effect on health outcomes. Since then, 108 00:07:10,840 --> 00:07:13,880 Speaker 1: drugmakers have started looking more at apps that could be 109 00:07:13,960 --> 00:07:18,160 Speaker 1: used as therapies. Swiss Droukes Giant Novardes got US approval 110 00:07:18,280 --> 00:07:22,480 Speaker 1: for one to treat substance abuse last year, But across 111 00:07:22,520 --> 00:07:27,320 Speaker 1: the app world, YUCA says evidence still remains a rare commodity. 112 00:07:27,960 --> 00:07:30,640 Speaker 1: We would estimate that less than one percent of all 113 00:07:30,680 --> 00:07:34,600 Speaker 1: of these apps are actually been tested, and for apps 114 00:07:34,600 --> 00:07:38,080 Speaker 1: that aren't being reviewed by health regulators, just having done 115 00:07:38,160 --> 00:07:41,200 Speaker 1: any kind of test can be a marketing point, no 116 00:07:41,240 --> 00:07:46,280 Speaker 1: matter what the outcome was. The term for this is experrammercial, 117 00:07:46,760 --> 00:07:52,080 Speaker 1: a combination of experiment and commercial. And when the study 118 00:07:52,120 --> 00:07:54,760 Speaker 1: doesn't show any benefit, they don't mention it, but they 119 00:07:54,760 --> 00:07:57,600 Speaker 1: would mention in the app description that our app has 120 00:07:57,640 --> 00:08:01,320 Speaker 1: been scientifically tested, and that kind of gives this false 121 00:08:01,360 --> 00:08:06,920 Speaker 1: notion of legitimacy to the potential customers and consumers. My 122 00:08:06,960 --> 00:08:09,760 Speaker 1: Fitness Pal was among the few apps or Youka found 123 00:08:09,840 --> 00:08:13,920 Speaker 1: that had been tested in an independent clinical trial conducted 124 00:08:13,960 --> 00:08:17,360 Speaker 1: about five years ago in Los Angeles. The study randomly 125 00:08:17,400 --> 00:08:21,480 Speaker 1: assigned two hundred and twelve overweight adults to either use 126 00:08:21,520 --> 00:08:25,440 Speaker 1: the app or to pursue and I quote any activities 127 00:08:25,520 --> 00:08:29,400 Speaker 1: you would like to lose weight. After six months, neither 128 00:08:29,440 --> 00:08:33,880 Speaker 1: group lost much weight. The researchers did speculate, though, that 129 00:08:34,000 --> 00:08:36,840 Speaker 1: the app might be useful for patients who are already 130 00:08:36,920 --> 00:08:40,680 Speaker 1: trying to watch their calorie intake. I asked Michael, the 131 00:08:40,760 --> 00:08:44,640 Speaker 1: under Armour executive, for his thoughts on the results. That's 132 00:08:44,679 --> 00:08:47,760 Speaker 1: absolutely directly in line with our experience with this app. 133 00:08:48,040 --> 00:08:49,760 Speaker 1: You know, like I said, it's not We don't think 134 00:08:49,760 --> 00:08:51,480 Speaker 1: of it as a health to it. We don't think 135 00:08:51,520 --> 00:08:53,600 Speaker 1: of it as something that someone would say, put this 136 00:08:53,679 --> 00:08:55,800 Speaker 1: on your phone, you will get better. But we think 137 00:08:55,800 --> 00:08:59,320 Speaker 1: of it as an integral part in someone's journey when 138 00:08:59,320 --> 00:09:01,720 Speaker 1: they've made the decision I'm going to change my life, 139 00:09:01,760 --> 00:09:04,280 Speaker 1: I'm going to hit some fitness goals. Will be there 140 00:09:04,280 --> 00:09:07,400 Speaker 1: to help. Maybe that was the problem with my diet 141 00:09:07,400 --> 00:09:11,640 Speaker 1: app experiment. I didn't start out with a particular fitness goal. 142 00:09:12,200 --> 00:09:15,240 Speaker 1: I wasn't actually trying to change my body or my life, 143 00:09:16,040 --> 00:09:20,520 Speaker 1: and in fact another force was at work, won a 144 00:09:20,600 --> 00:09:28,520 Speaker 1: lot stronger than willpower or workouts. I was pregnant, and 145 00:09:28,600 --> 00:09:32,400 Speaker 1: so for the first time practically since puberty, my body 146 00:09:32,480 --> 00:09:36,040 Speaker 1: felt like it was careening out of my control. Low 147 00:09:36,080 --> 00:09:38,800 Speaker 1: carb diet hard to handle when you need to eat 148 00:09:38,840 --> 00:09:41,000 Speaker 1: toast practically as soon as you open your eyes in 149 00:09:41,040 --> 00:09:43,840 Speaker 1: the morning in order to settle your stomach, and I 150 00:09:43,920 --> 00:09:46,440 Speaker 1: knew I would have to gain weight, not maintain it, 151 00:09:46,880 --> 00:09:51,120 Speaker 1: let alone lose it. Still, I kept logging my meals 152 00:09:51,320 --> 00:09:54,599 Speaker 1: and my exercise. I started to read more about the 153 00:09:54,679 --> 00:09:57,920 Speaker 1: nutrients I would need for a healthy pregnancy, and I 154 00:09:57,960 --> 00:10:01,280 Speaker 1: started to get a little obsessed of about making sure 155 00:10:01,320 --> 00:10:06,720 Speaker 1: I logged them. When my fitness pal inexplicably didn't record 156 00:10:06,760 --> 00:10:09,600 Speaker 1: the calcium in my brand of yogurt, it felt like 157 00:10:09,640 --> 00:10:14,160 Speaker 1: a personal insult. I started keeping a very very close 158 00:10:14,240 --> 00:10:17,959 Speaker 1: eye on my protein intake, and I started worrying about 159 00:10:18,000 --> 00:10:21,280 Speaker 1: whether I was getting too much vitamin A, something that 160 00:10:21,360 --> 00:10:24,640 Speaker 1: would never have occurred to me before, from eating too 161 00:10:24,640 --> 00:10:28,120 Speaker 1: many a rugulas salads. I started to wonder whether I 162 00:10:28,200 --> 00:10:32,839 Speaker 1: was monitoring myself a little too much. Today we're being 163 00:10:32,880 --> 00:10:37,679 Speaker 1: reminded every single minute of how sub optimized we are 164 00:10:37,840 --> 00:10:39,920 Speaker 1: and what we should be doing in order to be 165 00:10:40,320 --> 00:10:45,720 Speaker 1: more optimized. That's Carl Staderstrom, an associate professor at Stockholm 166 00:10:45,800 --> 00:10:49,400 Speaker 1: Business School. He co wrote a book called The Wellness Syndrome, 167 00:10:49,840 --> 00:10:52,240 Speaker 1: in which he argued that the pressure to become ever 168 00:10:52,320 --> 00:10:57,560 Speaker 1: healthier is actually anything but healthy. For another project, he 169 00:10:57,640 --> 00:11:01,360 Speaker 1: also used himself as a guinea pig. So what I 170 00:11:01,400 --> 00:11:05,400 Speaker 1: did was that I was using an app to log 171 00:11:05,559 --> 00:11:09,800 Speaker 1: everything that I was eating. I was also using one 172 00:11:09,880 --> 00:11:15,280 Speaker 1: of these wearables of rest band that logged my sleeping 173 00:11:15,400 --> 00:11:18,719 Speaker 1: and logged the activity I was doing during the day. 174 00:11:18,960 --> 00:11:21,680 Speaker 1: And then I was spending all my days in the gym, 175 00:11:21,760 --> 00:11:24,720 Speaker 1: and I was over the course of that month gaining 176 00:11:24,800 --> 00:11:27,560 Speaker 1: something like eight kilos. And the month ended with me 177 00:11:27,640 --> 00:11:32,200 Speaker 1: participating in a weightlifting competition which I incidentally ended up 178 00:11:32,240 --> 00:11:37,160 Speaker 1: coming last in. Carl writes about our society's obsession with 179 00:11:37,280 --> 00:11:41,960 Speaker 1: wellness as being part of an individualistic culture where you 180 00:11:42,000 --> 00:11:45,480 Speaker 1: need to demonstrate that you're performing at your peak, where 181 00:11:45,480 --> 00:11:48,480 Speaker 1: there's a moral value linked with how your body looks, 182 00:11:49,320 --> 00:11:53,160 Speaker 1: and also where workers who spend their days emailing and 183 00:11:53,360 --> 00:11:57,760 Speaker 1: organizing seek satisfaction or at least a sense of having 184 00:11:57,800 --> 00:12:01,120 Speaker 1: something to show for their efforts from improving their bodies. 185 00:12:02,080 --> 00:12:04,520 Speaker 1: He says health apps are a lot like an idea 186 00:12:04,640 --> 00:12:08,839 Speaker 1: from Freud, where your conscience prodes you to do what 187 00:12:08,920 --> 00:12:12,360 Speaker 1: you know you should do but don't want to. So 188 00:12:12,400 --> 00:12:17,680 Speaker 1: it is using an app as this little angry man 189 00:12:17,880 --> 00:12:22,040 Speaker 1: sitting on your shoulder constantly telling you that what you 190 00:12:22,120 --> 00:12:25,520 Speaker 1: do is wrong and what you should be doing is 191 00:12:26,280 --> 00:12:30,520 Speaker 1: this or that. And I think it's says something about 192 00:12:30,600 --> 00:12:33,560 Speaker 1: how difficult it is for for all your humans have 193 00:12:33,640 --> 00:12:38,360 Speaker 1: probably always been to live the way that we are 194 00:12:38,559 --> 00:12:41,760 Speaker 1: supposed to be living. And I think to some extent, 195 00:12:42,280 --> 00:12:45,280 Speaker 1: the whole idea of being human is that we are imperfect. 196 00:12:45,280 --> 00:12:48,520 Speaker 1: There's no way of always being able to do everything 197 00:12:48,600 --> 00:12:51,440 Speaker 1: that we're supposed to be doing. But I think what's 198 00:12:51,480 --> 00:12:55,319 Speaker 1: different today than in the past, and the health apps 199 00:12:55,559 --> 00:12:57,320 Speaker 1: are a big part of this, is that we are 200 00:12:57,360 --> 00:13:02,120 Speaker 1: being reminded seven as we're not living up to that 201 00:13:02,320 --> 00:13:06,600 Speaker 1: idealized version of ourselves. Carl argues that this focus on 202 00:13:06,720 --> 00:13:11,080 Speaker 1: self optimization is part of a larger political development in 203 00:13:11,120 --> 00:13:15,439 Speaker 1: which health is viewed more as an individual concern and 204 00:13:15,640 --> 00:13:20,320 Speaker 1: less as a broader social good, and the more society 205 00:13:20,480 --> 00:13:24,240 Speaker 1: moves in that direction, the easier it becomes to demonize 206 00:13:24,240 --> 00:13:27,400 Speaker 1: and ridicule people who do not have the resources to 207 00:13:27,480 --> 00:13:30,760 Speaker 1: look after their own health. Talking to Carl made me 208 00:13:30,800 --> 00:13:34,160 Speaker 1: think about my own app experiments in a different way. 209 00:13:34,640 --> 00:13:38,880 Speaker 1: There I was obsessing about vitamin A and analyzing the 210 00:13:38,960 --> 00:13:42,840 Speaker 1: nutrition content of the free protein bars in the Bloomberg pantry. 211 00:13:43,760 --> 00:13:52,480 Speaker 1: The whole thing seemed so narcissistic. There was one time, though, 212 00:13:53,120 --> 00:13:56,200 Speaker 1: that an app did help me do something that's actually 213 00:13:56,240 --> 00:14:00,480 Speaker 1: objectively healthy. I quit smoking a couple of years ago. 214 00:14:01,200 --> 00:14:04,840 Speaker 1: As any former smoker would know, the way cigarettes fit 215 00:14:04,880 --> 00:14:07,280 Speaker 1: into your daily ritual is one of the things that 216 00:14:07,320 --> 00:14:10,760 Speaker 1: make it super hard to quit. I used to love 217 00:14:10,840 --> 00:14:13,600 Speaker 1: smoking in the late afternoon. It's a little moment to 218 00:14:13,679 --> 00:14:16,040 Speaker 1: rest my brain before the last few hours of my 219 00:14:16,120 --> 00:14:19,600 Speaker 1: work day. So once I quit, I started using a 220 00:14:19,640 --> 00:14:23,840 Speaker 1: meditation app called Headspace as a replacement. I didn't think 221 00:14:23,840 --> 00:14:26,720 Speaker 1: of Headspace at the time as a health app per se. 222 00:14:27,640 --> 00:14:31,080 Speaker 1: It has more than one million paying subscribers and offers 223 00:14:31,120 --> 00:14:34,240 Speaker 1: everything from a cat's and boats soundscape for falling asleep 224 00:14:34,680 --> 00:14:39,120 Speaker 1: to meditation prep for students who are taking exams. But 225 00:14:39,200 --> 00:14:42,000 Speaker 1: when I talked to the apps chief science officer Megan 226 00:14:42,080 --> 00:14:45,560 Speaker 1: Jones bell I found out that they actually do see 227 00:14:45,600 --> 00:14:49,600 Speaker 1: themselves that way. The company says there are sixty seven 228 00:14:49,680 --> 00:14:54,080 Speaker 1: randomized clinical trials being done on its app, including studies 229 00:14:54,080 --> 00:14:57,760 Speaker 1: on everything from quitting smoking to managing stress and pain. 230 00:14:58,680 --> 00:15:01,680 Speaker 1: There are a number of ways that people can use 231 00:15:01,720 --> 00:15:06,280 Speaker 1: meditation to improve their health and happiness, and that can 232 00:15:06,400 --> 00:15:08,760 Speaker 1: range from using it as we think about it as 233 00:15:08,840 --> 00:15:12,000 Speaker 1: kind of a vitamin, which means that you are um 234 00:15:12,080 --> 00:15:15,920 Speaker 1: using it more on a preventative health capacity, such as 235 00:15:16,040 --> 00:15:19,800 Speaker 1: trying to boost your resilience to stress, which is something 236 00:15:19,800 --> 00:15:22,480 Speaker 1: that we have researched in a number of our trials 237 00:15:22,520 --> 00:15:25,560 Speaker 1: and have a number of very rigorous studies underway looking 238 00:15:25,560 --> 00:15:28,360 Speaker 1: at how that actually has proven out in brain changes. 239 00:15:29,040 --> 00:15:31,680 Speaker 1: The company is also working on a separate version of 240 00:15:31,720 --> 00:15:35,120 Speaker 1: its app that doctors could prescribe to their patients like 241 00:15:35,200 --> 00:15:39,640 Speaker 1: a medicine. This is more complicated because Headspace needs to 242 00:15:39,680 --> 00:15:43,120 Speaker 1: figure out with the Food and Drug Administration how best 243 00:15:43,160 --> 00:15:45,880 Speaker 1: to test the new app and regulate it to make 244 00:15:45,920 --> 00:15:50,120 Speaker 1: sure it works. Headspace hasn't started these trials yet and 245 00:15:50,160 --> 00:15:52,120 Speaker 1: it could be a couple of years before the new 246 00:15:52,120 --> 00:15:56,440 Speaker 1: product is approved. I asked Megan why Headspace would spend 247 00:15:56,480 --> 00:16:00,480 Speaker 1: money in the meantime testing its consumer app too, when 248 00:16:00,480 --> 00:16:04,480 Speaker 1: there's no regulator demanding data. I think, because we're really 249 00:16:04,560 --> 00:16:08,880 Speaker 1: playing the long game here, our science strategy is not 250 00:16:09,120 --> 00:16:13,240 Speaker 1: unlike the way that we've approached redefining the brand of meditation. 251 00:16:13,360 --> 00:16:17,640 Speaker 1: You can think about headspaces origins and really changing the 252 00:16:17,720 --> 00:16:22,920 Speaker 1: cultural perception of meditation and mindfulness, and you know, we've 253 00:16:22,960 --> 00:16:25,760 Speaker 1: certainly lifted all ships in the process of doing that 254 00:16:25,840 --> 00:16:29,080 Speaker 1: and really helping create this market and moving it out 255 00:16:29,160 --> 00:16:32,240 Speaker 1: of this kind of more woo woo experience into something 256 00:16:32,280 --> 00:16:38,280 Speaker 1: that is very approachable for a diverse range of of consumers. 257 00:16:38,680 --> 00:16:41,440 Speaker 1: A few studies are also being done on headspaces big 258 00:16:41,480 --> 00:16:45,560 Speaker 1: competitor the app Calm, So when these trials read out, 259 00:16:45,880 --> 00:16:48,880 Speaker 1: assuming the results are published, we should get a better 260 00:16:48,920 --> 00:16:51,600 Speaker 1: idea if at least this particular corner of the app 261 00:16:51,640 --> 00:16:55,360 Speaker 1: market works. Some in the health apps industry think that 262 00:16:55,440 --> 00:16:59,280 Speaker 1: an evidence space will become more necessary across the market 263 00:16:59,280 --> 00:17:02,000 Speaker 1: as a whole, not just for apps that could be 264 00:17:02,000 --> 00:17:07,120 Speaker 1: prescribed as medicines. I talked to Carl Johann Hateroth, CEO 265 00:17:07,160 --> 00:17:10,040 Speaker 1: of sleep Cycle, the alarm clock app that got me 266 00:17:10,080 --> 00:17:13,600 Speaker 1: started on this project it's really really interesting for us. 267 00:17:14,840 --> 00:17:18,560 Speaker 1: I think the whole industry is heading in that direction. 268 00:17:19,119 --> 00:17:22,840 Speaker 1: I think this industry is going to be regulated in 269 00:17:22,880 --> 00:17:27,560 Speaker 1: some way the coming years. I don't know exactly how, 270 00:17:28,119 --> 00:17:32,800 Speaker 1: but I think it will. And I mean, we like that. 271 00:17:36,680 --> 00:17:40,800 Speaker 1: And now I have a confession to make. Like a 272 00:17:40,800 --> 00:17:43,800 Speaker 1: lot of health app users, I wound up using what 273 00:17:43,960 --> 00:17:48,359 Speaker 1: kept me entertained and dropping the rest. I'm still using 274 00:17:48,359 --> 00:17:51,199 Speaker 1: sleep Cycle, partly because I like to compete with my 275 00:17:51,280 --> 00:17:54,280 Speaker 1: husband to see who gets a better night's sleep, and 276 00:17:54,440 --> 00:17:57,080 Speaker 1: because I take a morbid interest in seeing how much 277 00:17:57,119 --> 00:17:59,159 Speaker 1: worse my sleep might get as I get more and 278 00:17:59,240 --> 00:18:03,679 Speaker 1: more pregnant. Well you know what I mean, bigger and bigger. 279 00:18:05,280 --> 00:18:09,400 Speaker 1: But my fitness pal was more complicated. The turning point 280 00:18:09,520 --> 00:18:11,879 Speaker 1: was around the time when I was moving from the 281 00:18:12,160 --> 00:18:15,359 Speaker 1: she ate too many burritos to the is that a 282 00:18:15,480 --> 00:18:19,119 Speaker 1: bump stage of pregnancy. I noticed that on the weekends 283 00:18:19,200 --> 00:18:22,040 Speaker 1: when I would skip the app, I felt so much 284 00:18:22,080 --> 00:18:25,679 Speaker 1: better about my food intake. And during the week when 285 00:18:25,720 --> 00:18:30,440 Speaker 1: I was worrying about protein and calcium and vitamins and calories, 286 00:18:30,960 --> 00:18:34,040 Speaker 1: I felt like I was going crazy. I would look 287 00:18:34,119 --> 00:18:37,680 Speaker 1: up online calculators to reassure myself that my weight gain 288 00:18:37,800 --> 00:18:41,719 Speaker 1: was within normal parameters, and then beat myself up for 289 00:18:41,760 --> 00:18:45,359 Speaker 1: not hitting a nutrient target even though I had exceeded 290 00:18:45,400 --> 00:18:49,880 Speaker 1: my calorie goal for the day. My husband Philip actually 291 00:18:49,880 --> 00:18:52,880 Speaker 1: started to worry about me. I mean, I wouldn't say 292 00:18:52,880 --> 00:18:54,760 Speaker 1: it was crazy. You used the worst crazy before. I 293 00:18:54,800 --> 00:18:58,800 Speaker 1: wouldn't say it was crazy, But definitely you were a 294 00:18:58,800 --> 00:19:03,360 Speaker 1: bit obsessed. I remember you always telling me like not 295 00:19:03,560 --> 00:19:09,159 Speaker 1: to worry so much about weight during pregnancy, and I 296 00:19:09,200 --> 00:19:12,520 Speaker 1: wonder whether some of the experience with this was just 297 00:19:12,600 --> 00:19:17,960 Speaker 1: tied together with that as well. That could definitely be 298 00:19:17,960 --> 00:19:20,159 Speaker 1: the case. I mean, I do remember that you asked 299 00:19:20,240 --> 00:19:23,040 Speaker 1: very often like, oh God, am I too big? Am 300 00:19:23,040 --> 00:19:26,040 Speaker 1: I gaining too much weight? And I then, I mean, 301 00:19:26,080 --> 00:19:29,720 Speaker 1: I even get angry about this question because it's not 302 00:19:29,840 --> 00:19:33,160 Speaker 1: a competition of like who gains more or who gains 303 00:19:33,240 --> 00:19:36,800 Speaker 1: less weight during pregnancy. Your body does. What your body 304 00:19:36,800 --> 00:19:39,840 Speaker 1: does in each pregnancy is difficult different. At some point 305 00:19:39,880 --> 00:19:42,399 Speaker 1: in time, I was afraid that you would, I don't know, 306 00:19:42,480 --> 00:19:45,960 Speaker 1: stop eating when you if you thought that you had 307 00:19:46,000 --> 00:19:49,680 Speaker 1: gained too much weight, which would maybe have been unhealthy 308 00:19:49,720 --> 00:19:53,040 Speaker 1: for you or the baby. And if an app makes 309 00:19:53,080 --> 00:19:55,480 Speaker 1: you even consider something like that, it's definitely not a 310 00:19:55,520 --> 00:19:59,040 Speaker 1: good app. After Philip told me that I quit using 311 00:19:59,080 --> 00:20:03,440 Speaker 1: the app. But not everybody is as neurotic as I am, 312 00:20:03,480 --> 00:20:06,359 Speaker 1: and with so little evidence about health apps and health, 313 00:20:06,880 --> 00:20:09,160 Speaker 1: I think the bottom line here is that you can 314 00:20:09,200 --> 00:20:12,280 Speaker 1: take what's good for you and just leave the rest behind, 315 00:20:13,160 --> 00:20:16,280 Speaker 1: and that sometimes the more you try to control things 316 00:20:16,800 --> 00:20:20,760 Speaker 1: to optimize yourself, as Carl would say, the more you 317 00:20:20,800 --> 00:20:39,280 Speaker 1: eventually realize that you just need to let go. And 318 00:20:39,359 --> 00:20:43,320 Speaker 1: that's it for this week's prognosis. Thanks for listening. Do 319 00:20:43,359 --> 00:20:45,080 Speaker 1: you have a story about health here in the US 320 00:20:45,400 --> 00:20:47,840 Speaker 1: or around the world we want to hear from you. 321 00:20:48,359 --> 00:20:51,720 Speaker 1: Find me on Twitter at bay Cortes or email m 322 00:20:51,760 --> 00:20:55,320 Speaker 1: Cortes a Bloomberg dot net. If you are a fan 323 00:20:55,400 --> 00:20:57,520 Speaker 1: of this episode, please take a minute to rate and 324 00:20:57,560 --> 00:21:00,440 Speaker 1: review us. It really helps new listeners in the show, 325 00:21:01,040 --> 00:21:04,359 Speaker 1: and don't forget to subscribe. This episode was produced by 326 00:21:04,400 --> 00:21:08,199 Speaker 1: Liz Smith and topor Foreheads. Our story editor was Rick 327 00:21:08,280 --> 00:21:12,959 Speaker 1: Shine Francesco Leavie as head of Bloomberg Podcasts. We'll be 328 00:21:12,960 --> 00:21:16,040 Speaker 1: back with our next episode on July four. See you then,