Håvard Haglo

Håvard Haglo

Håvard holds a PhD in Exercise Physiology and is Head of Clinic at TreningsKlinikken, playing an important role in applying research to the development of our solutions and ensuring that our technology remains a market-leading solution.

Contributions and Research

Håvard Haglo, originally from Moss, has an extensive educational background in physiotherapy and exercise physiology. He earned his Bachelor of Science in Physiotherapy from VIA University College in Århus in 2012, followed by a Master of Science in Exercise Physiology and Sports Medicine from NTNU in 2016.His doctoral thesis “Pain and physical exercise - explanations, assessment and implications” was based on Patients with inflammatory rheumatic disease typically experience challenges with pain, fatigue and joint pain that create barriers to physical activity.

The findings from the thesis demonstrate the potential of effective physical interval and strength training as part of treatment for patients with inflammatory rheumatic disease. Furthermore, the results present some of the opportunities that exist for clinical practice by including low-cost digital tools (Myworkout GO) in training and assessment of physical capacity.‍Håvard Haglo's blend of academic expertise, clinical excellence and innovative research makes him a cornerstone of our organization, ensuring that we continue to deliver exceptional, research-based care to our patients.

Research

Selected research

Selected peer-reviewed studies written or co-written by Håvard Haglo, focused on exercise physiology, inflammatory rheumatic disease, maximal strength training, high-intensity interval training, and digital tools for assessing and guiding physical capacity.

Inflammatory Rheumatic Disease

Maximal strength training in patients with inflammatory rheumatic disease: implications for physical function and quality of life.

Haglo H, Berg OK, Hoff J, Helgerud J, Wang EEur J Appl Physiol · 2022DOI: 10.1007/s00421-022-04948-wPMID: 35438424

Patients with inflammatory rheumatic disease were randomized to maximal strength training or a control group. Despite pain, stiffness, and joint swelling, the training group showed high attendance and protocol compliance, improved one-repetition maximum and rate of force development, and reported improvements in health-related quality-of-life dimensions.

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Neuromuscular Adaptation

Maximal strength training-induced increase in efferent neural drive is not reflected in relative protein expression of SERCA.

Tøien T, Haglo H, Nyberg SK, Rao SV, Stunes AK, Mosti MP, Wang EEur J Appl Physiol · 2021DOI: 10.1007/s00421-021-04807-0PMID: 34498135

Sixteen healthy young men were randomized to eight weeks of maximal strength training or a control group. Maximal strength training increased one-repetition maximum, rate of force development, and efferent neural drive, while SERCA1 and SERCA2 mRNA and protein expression did not change, suggesting that early improvements are mainly governed by neural adaptations.

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Digital Exercise Guidance

Smartphone-Assisted High-Intensity Interval Training in Inflammatory Rheumatic Disease Patients: Randomized Controlled Trial.

Haglo H, Wang E, Berg OK, Hoff J, Helgerud JJMIR Mhealth Uhealth · 2021DOI: 10.2196/28124PMID: 34673536

Patients with inflammatory rheumatic disease completed 10 weeks of 4x4-minute high-intensity interval training either supervised by health care professionals or self-administered with guidance from the Myworkout GO app. Both groups improved VO₂max, oxygen pulse, and health-related quality-of-life dimensions, with no clear between-group differences.

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VO₂max Prediction

Prediction of VO₂max From Submaximal Exercise Using the Smartphone Application Myworkout GO: Validation Study of a Digital Health Method.

Helgerud J, Haglo H, Hoff JJMIR Cardio · 2022DOI: 10.2196/38570PMID: 35925653

A validation study with 162 healthy volunteers compared directly measured VO₂max with VO₂max predicted by the Myworkout GO app during standardized submaximal 4x4 high-intensity interval sessions. The predicted and directly measured values were highly correlated, with no significant difference between methods and a reported standard error of estimate of 4.5%.

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View full list at PubMed