So how can you tell if a study’s results might apply to you? First, look at the demographics of people who were studied. Are they similar to you in terms of age and sex? What about their activity level — were the people sedentary and non-active in the beginning, or lifelong runners? Good studies on running will also provide information on how much someone exercised before the study, which usually includes mileage per week and a pace, so you can compare even more accurately. And treadmill running, which can often use different inclines, versus trail training sometimes have different effects, too. The more similar you are to the participants, the more you can apply the results. So a study about older men who run for five hours a week on a treadmill might not give me the most insight into what makes sense for me, a young woman who would rather never move again than run on a treadmill. (If this information isn’t provided in the write-up you’re reading, it’s usually in the abstract of the study itself, which is usually linked in an article.)
Make a robot friend with Adafruit’s CRICKIT – A Creative Robotics & Interactive Construction Kit. It’s an add-on to our popular Circuit Playground Express, FEATHER and other platforms to make and program robots with CircuitPython, MakeCode, and Arduino. Start controlling motors, servos, solenoids. You also get signal pins, capacitive touch sensors, a NeoPixel driver and amplified speaker output. It complements & extends your boards so you can still use all the goodies on the microcontroller, now you have a robotics playground as well.