The Apple watch has a decent cardio fitness monitor. The absolute values aren't precise (since it uses VO2Max estimates, which is really only accurate if you're doing a metabolic stress test), but it's good to keep an eye on trends.
Cardio still counts even if you don't measure it and share it with Apple.
Cardio fitness is a strong, consistent predictor of morbidity and mortality
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Re: Cardio fitness is a strong, consistent predictor of morbidity and mortality
#102The Apple watch has a decent cardio fitness monitor. The absolute values aren't precise (since it uses VO2Max estimates, which is really only accurate if you're doing a metabolic stress test), but it's good to keep an eye on trends.
The poor VO2Max estimates on the Apple Watch is why I'm phasing out of wearing one. I track my actual VO2Max measurements in Apple Health via a shortcut, and I don't need a daily made-up number messing up my data.
Re: Cardio fitness is a strong, consistent predictor of morbidity and mortality
#103Re: Cardio fitness is a strong, consistent predictor of morbidity and mortality
#104Earlier quoted context omitted.
As the OP mentioned, absolute numbers are garbage, but trends are useful. Once a year just get an actual VO2Max test to peg the watch values too.
The trends are garbage too. According to my watch my VO2Max has swung wildly between 55 and 45 over the last year, while every other measurement points to my fitness staying mostly steady.
Re: Cardio fitness is a strong, consistent predictor of morbidity and mortality
#105Earlier quoted context omitted.
Wait-to-hip ratio is an accurate measurement of cardio-respiratory capacity ?
Morbidity and mortality, which is what the article's title is about.
Re: Cardio fitness is a strong, consistent predictor of morbidity and mortality
#106There’s amusing statistics that show that if you’re out of shape and a smoker, you get a bigger bang for the buck from getting in shape first than quitting smoking. Disclaimer: not an endorsement of smoking.
reminds me of the bicycle helmet stuff. There was a ted talk that said bicycle helmet laws would kill more people than save. The reasoning was preventing people from riding would also prevent increased fitness, and more lives were lost from that than saved from accidents. EDIT: I think this one: https://www.youtube.com/watch?v=07o-TASvIxY
Re: Cardio fitness is a strong, consistent predictor of morbidity and mortality
#107Earlier quoted context omitted.
reminds me of the bicycle helmet stuff. There was a ted talk that said bicycle helmet laws would kill more people than save. The reasoning was preventing people from riding would also prevent increased fitness, and more lives were lost from that than saved from accidents. EDIT: I think this one: https://www.youtube.com/watch?v=07o-TASvIxY
This sounds ridiculous until you go to Amsterdam see that few wear helmets there. And everyone is cycling. They might be more inclined to cycle because they don’t need to wear a helmet. After years of cycling with helmet you get so used to it and it doesn’t bother you. But how many skip the bike because they never got used to wearing a helmet?
not riding a bike because a helmet is ??uncomfortable?? is ridiculous and probably self-selecting
Re: Cardio fitness is a strong, consistent predictor of morbidity and mortality
#108Earlier quoted context omitted.
It only takes a few months to make substantial gains in c-v fitness.
Define substantial. I find that incredible. EDIT: Now that I've seen the replies, I realize that this is from a very low baseline. I'm personally going to the gym four to five days a week already and my own cardiovascular fitness has not seen much of an improvement in many months.
Re: Cardio fitness is a strong, consistent predictor of morbidity and mortality
#109I focus on "maxing out" sets of 500m since it correlates well to basketball cardio, and I have infinite cardio even in my mid 30's.
Re: Cardio fitness is a strong, consistent predictor of morbidity and mortality
#110What’s the best way to accurately measure one’s VO2 max, or at least ballpark it sufficiently so that you can track improvement over time without it being lost in measurement noise?