Tracking health data for its own sake


For the past few months, I’ve been using my Apple Watch to track my sleep. AutoSleep uses the device’s internal accelerometer to measure both sleep quality and total sleep time.

The app is surprisingly accurate, and it’s fun to peek at my sleep stats each morning. But I don’t actually do much with that data. The numbers don’t factor directly into my bedtime decisions or sleep habits.

But that doesn’t necessarily mean that my sleep tracking efforts are fruitless. There’s something powerful about knowing where I stand—particularly when it comes to health.

Take food tracking as a example. For the past year or so, I’ve input my consumed food via an app called Lose It. I don’t really adhere to a strict daily limit, but knowing how gluttonous I’ve been earlier in the day is often just enough motivation to resist dessert. Conversely, when I don’t record my meals, I tend to overeat.

Weighing myself each morning has proven similarly useful. Again, I don’t have strict weight loss targets; I simply record my poundage day after day using Vekt for the Apple Watch. This habit populates the Apple Health database with a running tally, giving me a general idea of which direction my weight is trending.

That knowledge leads to better food choices—almost automatically. If my weight drifts too high, I find myself gravitating to healthier options—fruit instead of sweets, salads instead of sandwiches, water rather than Coke. Conversely, when I’m hovering near my ideal weight, I’ll reward myself with an extra treat or two.

All that to say, even if my sleep stats seem inconsequential, I’m going to continue wearing my Apple Watch to bed. I’m hoping that a peripheral awareness of my sleep habits may (subliminally) lead to better sleep decisions. Maybe I’ll skip that Netflix binge in favor of an early bedtime. ■