Marco Altini, PhD @altini_marco
Founder of https://t.co/F8UmrLufYD, Advisor @Ouraring, Guest Lecturer @VUamsterdam, Editor @ieeepervasive. PhD Data Science, 2x MSc: Sport Science, Engineering. Runner linktr.ee/altini_marco Amsterdam Joined September 2020-
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last push this week: peak running volume, a bit of intensity at threshold, long race simulation, some more volume on the bike, a strength session, and the passive heat acclimation protocol three more weeks to the event I've been preparing for the past three years 😅 excited
my recent articles and updates medium.com/@altini_marco/…
it's peak hype for making up numbers without actually measuring the thing you are interested in beware of guestimates
it's peak hype for making up numbers without actually measuring the thing you are interested in beware of guestimates
"As always, your brain is your most important asset for performance improvement Stay on top of new technology, but don’t lose track of the basics The most important advances in human performance are still reliant on scientific principles that are close to a century old" 👏
"As always, your brain is your most important asset for performance improvement Stay on top of new technology, but don’t lose track of the basics The most important advances in human performance are still reliant on scientific principles that are close to a century old" 👏
a third of the year is behind us so far I've run 2330 km and climbed 43295 m I don't set goals for any of the two, but it's good to see my body is able to gradually adapt and take more than it could take in previous years. As my main goal is to race well a hilly 100 km, I…
my monthly newsletter covering heart rate variability, wearables, training, and some ramblings, is out thank you for reading
🎙️ check out my chat with Tyson about HRV, resting heart rate, cardiorespiratory fitness, subjective feel, and how to use the data effectively thank you for listening open.spotify.com/episode/4bfD0N…
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@altini_marco @KasperJanssen It's probably important to bear in mind that if you're showing an acute episode of poor sleep most days then it's actually chronic, not acute, and needs to be addressed. Perversely, if it's chronic, some of these trackers may conclude it's your normal and reported it as such.
@jasonkoop @altini_marco This was a great one Marco & very solid concept. Esp when we get to derivative values of made up numbers...
'please ignore made up scores' from @altini_marco 🎯🤝
it is not my intention to pick on any brand, but it is my intention to make sure people can use physiological data effectively in the context of training, the way to do this is really simple: HRV must be measured in the morning here is an example: the other night I didn't sleep…
@altini_marco Good luck!!! Looks like you’re ready!
@altini_marco I'm due in Faenza on Wednesday 8th till 15th. I'm going to try to get to Brisighella for a coffee and to say hello. P
@altini_marco On the good side all those wereables on garmin and oura provide the all night hrv data so I usually go into the last part of sleep specially on garmin that have the highest sample rate and more granular feedback on that :)
THIS!! 👇🏼 Don't judge too soon after waking, keep data in context, and always build the picture. More vaulable to focus on trends than stand-alone numbers. Dont forget, physiological data needs to help you learn your body - not the other way around!
it is not my intention to pick on any brand, but it is my intention to make sure people can use physiological data effectively in the context of training, the way to do this is really simple: HRV must be measured in the morning here is an example: the other night I didn't sleep…
That’s so right and important to know. If someone of u is looking for age and sex stratified percentiles of 24h RMSSD or SDNNi as a reference gained from more than 7000 office clerks look at the supplemental table 2 of this paper : frontiersin.org/journals/neuro…
many studies compare HRV between groups, e.g. healthy controls vs people with a specific condition often, a statistically significant difference is found in the average HRV of these groups, showing that e.g. healthy controls have higher HRV these studies, while important to…
@altini_marco yea this makes a lot of sense, hadn't thought too closely about this. thank you!
@altini_marco making sure i follow: is the idea here that if you have a stressor before bed, your data will be affected for a few hours and disrupt sleep, BUT if your data returns to baseline in the AM, the average of the full observation period could be misleading wrt next day's recovery?
@altini_marco my garmin epix is ok with hrv after heavy meals before sleep it is not ok with alcohol before bed, which is understandable
+1 "please ignore made-up scores"...ever wishful! The metrics sports industry is built on made-up scores.
it is not my intention to pick on any brand, but it is my intention to make sure people can use physiological data effectively in the context of training, the way to do this is really simple: HRV must be measured in the morning here is an example: the other night I didn't sleep…
@altini_marco @lebosquet There are only two topics that get me to engage on here. This is obviously one of them. I hope you don’t take it personally. Have a good one!
@altini_marco @lebosquet I don’t disagree. But I do think that that number of people who can improve values, and would benefit from doing so, far outnumber the group you describe.
@altini_marco @whennotcycling @inaki_delaparra @hjluks @lebosquet @maximumcharacte @SamueleMarcora Thanks Marco. The single most important thing to understand is that pain is always influenced by context - our environment, thoughts, beliefs, mood, coping mechanisms etc. Pain is often associated with issues in the tissues but it isn't a barometer of the amount of tissue change.
@altini_marco @lebosquet Even in children.
Atherosclerosis starts in early childhood. Mean RMSSD according to number of cardiovascular risk factors (CRF) in 10-year old children: 0 CRF: 77 ms 1 CRF: 70 ms 2 CRF: 59 ms 3 CRF: 46 ms sciencedirect.com/science/articl…
@altini_marco @lebosquet Some thresholds proposed here.
Daytime RMSSD values <25 ± 4 ms indicated elevated risk (OR 1.5-3.5 across risk factors). Nighttime RMSSD values <29 ± 4 ms indicated elevated risk (OR 1.2-2.0). Assessed risk factors included inflammation, hypertension, hyperglycemia & hyperlipidemia. ncbi.nlm.nih.gov/pubmed/3171797…
@altini_marco @lebosquet For $20.00, would you trade your 70 ms RMSSD for 15 ms? 😉
@altini_marco @lebosquet Healthy young soccer players. Same fitness level. HRV discriminates high-normal from normal BP (all normotensive) supporting plenty of other data suggesting lower HRV may precede high blood pressure.
No mention of FHH, but HRV differences based on BP have even been reported in normotensive young athletes. Despite matched height, weight, & VO2max in teen soccer players, HRV was lower in players with higher mean arterial pressure after median split. academic.oup.com/ajh/article/27…
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