Tagged: fitness

I “Quant” Believe I’m Monitoring My Sleep, and It’s Working

One unanticipated consequence of upgrading to an Apple Watch Series 3 is that I’ve been monitoring my sleep. That’s right: I am the same data grouch who bemoaned the quantified life, and here I am, tracking the amount of time I sleep, measuring the “quality” of my sleep, and comparing my sleeping heart rate from one day to the next. What’s wrong with me?!?

Part of this new regiment started when I upgraded to a new Apple Watch. The Series 3 offers a much improved battery compared to my old Series 0. However, I also started monitoring my sleep because, a year ago, I had downloaded a sleep-tracking app called Auto Sleep. The app wasn’t useful on my Series 0 because the battery would die in the middle of the night, and ironically, the watch itself would wake me up when I would toss and turn in bed. There were several occasions where the watch strap or the chassis itself would rub against my face, interrupt my sleep.

I was also curious of whether my sleeping habits were in need of some help. Like most people, it is not unusual for me to become tired in the middle of the day. Fortunately, my working conditions allow me to often remedy that with a quick coffee nap. I think that’s the only part of owning a car I miss: lunchtime naps in the parking lot.

Although I have had the speedy Series 3 with its capacious battery for over a month, I’ve only regularly started tracking my sleep over the last few weeks. Here’s what I’ve learned:

The first thing that I noticed that I don’t get anywhere nearly as much sleep as I thought I did. I discovered that I spend about an hour in bed awake each night, oftentimes much more than that. Prior to this sleep-tracking experiment, I would reason that if I go to bed around midnight and wake up about 7:00, I got a respectable seven hours of sleep. Wrong! The Auto Sleep app reports that I get closer to five hours of sleep on such nights. This is because I wake up multiple times in the middle of night: a bathroom break here, a neighbor or roommate making a sharp noise, a pesky cat asking for a predawn snack. The time I lie awake in bed likely explains why I get drowsy in the middle of the day.

Since then, I started to budget over eight hours in bed to get a respectable amount of sleep—about seven hours—each night. I can now appreciate the wisdom of Max Richter’s Sleep album, a collection of 204 songs that together last 8 hours and 23 minutes. The notes guarantee eight hours of sleep, and clearly count on some degree of sleeplessness during that stretch. I tried it but, as I tossed and turned, I kept bumping into my iPad that I had foolishly propped on a pillow next to my head.

A second discovery I made was that my average heart rate while sleeping is noticeably affected by two factors: whether I’ve been getting enough restful sleep over the past several days and whether I drank even a moderate amount of alcohol.

Observing the first factor was a revelation. I saw my sleeping heart rate drop from as high 78 bpm at the beginning of a restful-night streak to something in the low 60s.

However, last Wednesday, March 21, during what appears to have been the final Nor’easter of March 2018, I walked to the local brewery to stave off cabin fever and to taste some new IPAs. I nursed four pints over a four-hour period, but that was enough to wreck my sleep. Auto Sleep rated that night’s sleep with a 58% recharge rating, whereas I had scored something closer to 90% over the past three days. My average heart rate on that stormy, intemperate night was 79 bpm, which is similar to my heart rate while I sit at this desk and type, whereas my heart rate was 12-13 beats slower during the previous three nights. Finally, it had a lingering effect over the next two nights: my recharge rating was closer to 80%. It wouldn’t be until two more nights that I again scored a recharge rating of at least 90%.

The effects of nursing four pints of IPA over four hours on my sleep were pretty hard and lingered for a couple of days.

A third revelation from this whole sleep-monitoring exercise is that I have to work harder to get enough sleep. That defies my own sense of logic. But working hard to sleep more is something I can get behind.

Finally, I have been noticing an overall positive effect on my energy. I haven’t needed my customary coffee nap after getting a few consecutive nights of quality sleep. I don’t know if it’s a placebo effect, but just the other day, I tried to take a quick lunchtime nap. I couldn’t do it. I was wide awake, and instead, I started composing a draft for this post.

I Quant Do This Anymore

WNYC’s Note to Self recently asked its listeners to share stories about using mobile apps and fitness trackers to quantify their daily progress—with dieting, sleeping, fitness—for the episode, Your Quantified Body, Your Quantified Self.

I’ve maintained a pretty ambivalent attitude towards the new wave of trackers that have emerged over the last decade with the advent of the smartphone and the proliferation of wearables. In the mid-2000s, I used to employ a heart rate monitor to do interval training for bicycle rides. I have since soured on the practice. After sinking hundred of dollars on a couple of Polar devices, I learned that the best way to train is to simply put in the miles and find a few hills along the way. Of course, others swear by it so your “mileage” may vary.

However, I have unwittingly resumed tracking my activity after getting an Apple Watch. The stock Activity app not only counts my steps, but it awards me circles for meeting daily goals. If I keep active for thirty minutes throughout the day, I get a green circle. If I avert sitting for a full hour, twelve hours throughout the day, I get a blue circle. And if I burn 870 calories, I get a red circle. I regularly meet these goals, but unless I bike more than fifteen miles or take a very long walk, it’s easy to miss meeting the calorie-burned goal. Thus, no red circle for me.

In the episode, we hear about people becoming anxious in meeting their goals, including walking laps around their kitchen before bedtime in order to walk the requisite number of steps. This resonated with me because, once, I was twenty calories short of my daily goal. My solution? I walked to the corner pizza shop to burn those twenty-plus calories and to get that elusive red circle. But I also bought 300-calorie slice of pepperoni.

Obviously, it would have been better not meeting my calorie-burned goal. The Apple Watch and its activity tracking couldn’t save me from my own poor eating choices, and because it does not record my eating, it was none the wiser.

We also hear that for many who obsessively tracked their fitness, dieting, or sleep, they almost invariably were overcome with anxiety, fearing they would not meet their goals. Ultimately, this anxiety leads to their abandoning the trackers. One participant noted that instead of using the notifications to make exercising a regular habit, she noted that dismissing and ignoring the reminders became the habit. Overall, the participants all soured on the experience, much like I did with heart-rate monitoring a decade ago and with journaling and habit-tracking in recent years.


I should note that I have found this podcast series and New Tech City—its predecessor as a segment on WNYC radio—to be bothersome. The host is too technoutopian for my taste and seems very cozy with the technocratic entrepreneurs that she profiles. In this episode, instead of conceding that trackers offer only temporary benefits for most, she imagined possibilities for “what will they think of next?”

You might take a personality test before you choose a tracker, one that understands that you are a social butterfly, and you need social support. You need that competitive edge with your friends… Or you would respond better to a fitness tracker that lights up in soothing colors, indicating it’s lovely outside, the sun is about to set, and right now would be the perfect time to take a twenty-minute walk.

Did you get that? It’s not that constantly tracking our eating, sleeping, and exercise are unnatural processes that as humans we will invariably abandon. It’s that the tracking devices and apps simply don’t have enough data. Yet.