For a couple of years now, I’ve been having some trouble sleeping. It’s not a constant problem, but it has become more frequent than the rare thing it used to be.

I think the problem is just a string of one-off instances of stress. During this period I had one older relative begin having cognitive difficulties and have to move to a facility that could provide additional care, my cat got sick and eventually died, had some personality clashes related to volunteer work I’m doing grow into a problem that eventually involved lawyers, and had another older relative began showing signs of cognitive difficulties.

Each of these resulted in a pattern where I’d fall asleep just fine, but then wake up in the middle of the night and start ruminating about the issue of the day and be unable to fall back to sleep for an hour or three.

In the past when I had problems of this sort they tended to be short-lived. I’d stress out about something for a night or two or three, but the issue would be resolved soon enough and I go back to sleeping fine.

Here the issues have stacked up, new ones following the old ones.  Further, some of them don’t go away. They linger on.

As I say, I think that’s what’s happening here. Ordinary life stresses have simply come at me a little too hard and a little too fast, with the result that my sleep has been impacted.

However, maybe that’s not all that’s going on. Maybe there’s more to it. I know there are some other issues. For example, if I don’t keep my carb intake down my nasal congestion returns, and that dramatically interferes with my sleep.

Given that I’m not sure what all might be wrong, I thought it might make sense to investigate further—gather some data, and see if I couldn’t find some patterns in my sleep problems. To that end, I bought an Oura ring, a tracking device along the lines of an Apple watch or a Fitbit, but with its focus specifically on gathering and analyzing data about sleep.

I’ve only had it for a week so far, and I’m really just getting started at looking for trends in the data. For example, three nights ago I slept poorly (awake for almost 2.5 hours of the almost 9 hours I was in bed).

One possible reason was a too-large meal too late in the day. (It was the Winfield Village holiday party.) One piece of data that suggests that possibility is that my body temperature was elevated by 0.3℃ during the night—perhaps because of increased metabolic activity digesting all that food.

Interestingly, I got more deep sleep than I had all week up to now, perhaps because I went for a long run the day before. (Deep sleep is where you get the physical recovery from things like heavy weight-lifting sessions and long runs. Maybe the first few nights had less deep sleep simply because I didn’t need more than that, because I hadn’t had the hard workouts that require deep sleep for recovery.)

Here’s the next night, where I spent less time awake and almost as much time in deep sleep:

My body temperature was still up, though, even without the big meal. We had turned the thermostat down one more degree, but that’s about as low as we want it, so last night I rearranged the covers, removing the down comforter, going with just the wool blanket. I don’t know if that was a key change, but I slept very well last night:

Not only were my quantities of total sleep and deep sleep good, some of the other metrics were good as well. My temperature deviation was -0.3℃, which suggests that maybe I’ve got the covers and thermostat thing balanced just about right. My resting heart rate was down to 47, which suggests that I’ve recovered completely from the long run I took three days ago.

My hope is that by paying attention to this sort of thing, I can gradually eliminate these sorts of problems affecting my sleep. Of course that will leave me with the stress-related problems, but I think I know how to handle those—fixing the ones that can be fixed, accepting the ones that can’t be fixed, and engaging in appropriate self-care to help myself handle the stress better. And, of course, get enough sleep.

A friend of mine posted to her Facebook page recently criticizing a whole category of ageist comments along the lines of “You’re only as old as you feel.”

It caught my interest in particular because I’d been mentally composing a post about how I just turned 58, but I’m not suffering the aches and pains that supposedly go along with getting old. My friend’s post reminded me that referring to this as “feeling young” is problematic. And yet, I find that I come down on the other side of this issue. Sure, there is a certain irrefutable accuracy to say that your age is the current year minus your birth year, but age is many things besides a mathematical calculation—at a minimum it’s a social construction, and also perhaps a collection of biological circumstances.

It’s true that what I mean—and what perhaps I should say—is I feel good. Better, in fact, than I’ve felt in years. I’m stronger, more flexible, and more agile than I’ve been in longer than I can remember. I move with more ease, more power, and more control. I have more endurance. I’m certainly more comfortable in my own skin.

A lot of this is just good luck, of course—good genes, avoiding serious injuries and serious illnesses so far.

Beyond good luck I credit my movement practice for most of the rest. Taiji. Walking and hiking. Running (merely an adjunct, but one I enjoy in particular). After years of lifting with machines to little noticeable effect I now do almost all my strength training with bodyweight exercises and am having much more success. (The main exception to pure bodyweight exercise is doing kettlebell swings for my high-intensity interval training, which I ought to write about because it seems to be doing some good, and is also quick and fun.) Push hands I wrote about recently. Animal movement ditto. So new I haven’t had a chance to write much about it yet, I did yoga for the first time last week.

But to bring this back full circle, I’m not so sure that it’s wrong to talk about “feeling young.” My friend is right—growing old is a privilege not everyone enjoys. It is indeed better than the alternative: dying young. But just as I can see her objections to denying age (as if refusing to acknowledge it meant something), I object to denying one’s felt experience. If someone says that they “feel young,” does an appeal to mere arithmetic justify correcting them?

Certainly I am not the only person to feel this way. There are always people trying to express health and fitness in terms of age. There are websites that will suggest a guess as to your physiological age vaguely based on your weight and your activity level. Various practitioners of various disciplines will measure specific things ranging from your maximum heart rate to the length of your telomeres and use the results to calculate a biological age.

They’re all pretty dubious, but I find that I do not object in principle to thinking and talking about concepts like health, fitness, and vitality in terms of age. Even though there are many unhealthy young people and many old people who are fit and vital, I think the notion resonates in a useful way.

As for me, I feel good. I also feel younger than I’ve felt in years.

Another quick experiment with WP-GPX-Maps, but also a quick report of using my heart rate in my running training.

First, here’s this morning’s run:

[sgpx gpx=”/wp-content/uploads/gpx/Philip_Brewer_2017-07-06_07-13-23.gpx”]

Roughly the same route as last time, except that instead of running back past the woods the same way I ran out I ran back on a path through the woods itself, and then I added another out-and-back through the prairie, out on the path we call the Low Road and then back on the Middle Way, adding a half mile or so.

(By the way, my heart rate ought to be showing up and isn’t. Part of the reason it’s not there is that it’s not being included in the GPX file that I’m getting from Polar. I was able to get a GPX file that included the heart rate, by exporting a TCX file from Polar and then converting it using TCX Converter, but that still didn’t work. The result was actually worse, in that it lost the altitude data as well. The map above is generated from the straight GPX file from Polar.)

I’m trying to train at my MAF heart rate, which I calculate at 127.

The theory here is that training at this intensity is best for improving your ability burn fat (rather than glucose) for energy. At higher heart rates you end up using a great deal of glucose, so you end up glycogen depleted and then have to eat carbs to replenish your stores. At this lower intensity your consumption of glucose is modest and easily replenished with even a low-carb diet.

With regular training, you gradually get faster at this low intensity (for a while, anyway), which means that you’re automatically training for both speed and endurance at the same time.

I have a heart rate monitor from Polar which works great, except that (incomprehensibly) the Polar app doesn’t have alerts to let you know when you go outside your target range. I’ve been trying to learn through trial and error to feel the intensity level that gets me to the target HR.

This time I got it just about exactly right.

Polar has its own idea of target range, and the closest they have to the zone I want (which is 117 to 127 according to MAF) is what Polar calls Zone 3 and pegs (for me) at 115 to 131. I did 92% of this run in that zone. And, judging from eyeballing the graph, a lot of it was just under 127, right where I want it.

I also squeezed in a 20 minute lifting session after my run. The HR data from that is also kind of interesting, but also doesn’t display with the WP-GPX-Maps plugin.

I’ve been tracking my resting heart rate. As you become more fit, your heart becomes able to pump more blood with each beat, so most people will see their resting heart rate decline with training. Fitness books suggest that there are other insights to be gleaned as well—an unexpected jump in resting heart rate may be a sign of overtraining, for example.

It’s only true in general; it doesn’t mean anything to compare resting heart rates across individuals. But I’m one of those who does see a strong effect, so it’s been fun to watch my resting heart rate decline. It’s up in the low 70s when I’m out of shape, drops into the 60s pretty quickly after I start getting some regular aerobic exercise, then gradually declines into the low 50s.

Yesterday, though, my resting heart rate was 49. Since my resting heart rate tends to get stuck in the low 50s, that was fun to see. It’s also a pretty good indication that I’m recovered from Monday’s long run.

Just two weeks to the winter solstice, so just four weeks until the days are again as long as they are now. Then things start getting better. That provides a ray of hope as I stick with the treadmill running.