The final part of my PhD saga has been published @MSSEonline! We found that an individualized endurance training based on recovery status improved endurance performance more than predefined training and reduced the risk of low training response. https://t.co/7qo1cJ8efX Thread👇

Our new paper is available @EJAP_official! In this exploratory study, we assessed the magnitude and variance of physiological strain across moderate and vigorous exercise intensities using three prescription methods: METs, %VO₂max, and lactate thresholds. https://t.co/np6cuB8sYD

Bringing AI to CPET analysis 🫁🤖 Our latest paper in @SportsMedicineJ introduces Oxynet - a deep learning model fine-tuned to ramp incremental protocols designed to support the detection of ventilatory thresholds. 📰 Paper: https://t.co/3jO6ZBaVSR

Nyt olisi tarjolla oiva starttipaketti liikunnan aloittamisesta kiinnostuneille 30-50-vuotialle Tampereella ja Turussa! Minimi-tutkimuksessa toteutetaan kuntopyöräharjoittelua ja mitataan kestävyyskuntoa & terveydentilaa monipuolisilla mittareilla 🚴‍♀️🚴‍♂️ https://t.co/vkEAjJwtpG

We recognize that even defining what truly counts as LOW-intensity training is challenging, but we hope our work helps move the field forward! For example, defining the lower boundary of LIT is an interesting and still unsolved question.

Some more or less surprising observations: • Very few RCTs on LIT in trained individuals (guilty as charged) • Training was rarely standardized based on metabolic thresholds • Outcomes related to aerobic fitness were almost entirely VO2max.

Our meta-analysis on LIT is out! We found a large effect on VO2max and a small effect on cardiometabolic health indices, mainly in untrained populations. Within our intensity limits (<60% VO2max), higher intensity was associated with greater VO2max gains.

New 📖: Durability of parameters associated with endurance running in marathoners We tested associations between durability of key physiological parameters and marathon performance. 🔗: https://t.co/mcGv4BreVC @Daniel_Muniz_ 🧵

Exercise Intensity Terminology is a bit of a mess 😵‍💫 Our attempt to try & summarise some of the different approaches, and make some recommendations going forward, has finally been published in both MSSE: https://t.co/iHdsdK4Mhx & JSaMS: https://t.co/ONLEM5g8U8.

Now ahead of print: Substituting Low-Intensity Endurance Exercise With High-Intensity Microintervals: Responses to Acute Exercise, by Pekka Matomäki, Mimmi Iivari, Olli-Pekka Nuuttila and Timi Malinen https://t.co/QjR0HAfE1r

@EJAP_official

Why low-intensity endurance training for athletes? Dr. Matomäki answers this question in a new perspective article @EJAP_official, presenting seven possible hypotheses on why endurance athletes should engage in excess amount of low-intensity training. https://t.co/hZgfyLS2Iz

We're conducting a study on how lactate measurements are used to monitor endurance training intensity. If you're an athlete or coach who uses lactate testing in your sessions, we’d love your input! 🧪🏃‍♂️ Link: https://t.co/jzlGGlFF7r Sharing is appreciated!! @GIRD_UCLM

We analyzed lactate thresholds in recreational runners (n=165) and compared the error magnitude of fixed LT estimates (sample mean) based on RPE, relative speed, HR, HRres, VO2, and VO2res. The smallest errors were found for speed, the highest for RPE. https://t.co/jYrWS3LTFj

OUR LATEST: ”Zone 2 Intensity: A Critical Comparison of Individual Variability in Different Submaximal Exercise Intensity Boundaries” - Translational Sports Med - WileyOnline #endurance #endurancetraining #zone2 ⁦@SWEOlympic⁩ ⁦@E_C_S_S⁩

Tom's Weekend Warrior study is out! Training either 4x (short) or 2x (long) weekly resulted in the same adaptations, when overall volume and content of training was fixed. Performance, thresholds, efficiency, Hbmass, and ox cap ↑ equally in both groups. @MartinMacInnis

Conclusively, practitioners should not assume that sleep and morning HR or HRV are exactly aligned in their responses. Future studies should investigate in more detail the potential long-term consequences of different types of HR and HRV patterns during sleep vs. waking hours.

A very relevant finding was that while lower HR and higher HRV were associated with better endurance performance (3000 m running time) in all recording segments, changes in these parameters after the overload period correlated only in nocturnal measurements.

When we compared changes from the regular training period to the final week of the overload period, the largest changes in HR/HRV were observed in the standing position. Interestingly, nocturnal and morning (supine) results correlated at least moderately for HR but not for HRV.

Responses to a single intensive exercise were the most pronounced in nocturnal measurements. Interestingly, the change of nocturnal HR/HRV from the previous day correlated moderately with the results of standing position but not necessarily with the results of supine position.

During regular training, morning and nocturnal HR and HRV showed at least moderate correlations, but day-to-day variability (CV) was higher in morning measurements. Surprisingly, no correlation was observed between HRV measured in supine and standing positions in the morning.