Projects per year
The Physical Activity, Sport and Health (PASH) research group aims to improve knowledge on the beneficial effects of physical activity on individuals’ health with and without disease and of any age, as well as on the mechanisms leading to the development of sports injury.
Its activities include:
* Prediction and prevention of sport injuries (e.g. running-related injuries)
* Measurement of physical activity, sedentary behaviour, sleep and fitness in the general population, as well as in different therapeutic contexts (e.g. cancer)
* Identification of metrics derived from wearable physical activity monitors as digital biomarkers of individuals health
With its research, the Physical Activity, Sport and Health group aims to:
* Bring the lab to the field through the identification of promising wearable devices and meaningful metrics for human movement analysis and physical activity monitoring in real world conditions.
* Improve the understanding of the etiology of sports injuries, a prerequisite for the development of innovative evidence-based preventive measures.
* Make use of innovative Machine Learning methods and combine them with expert knowledge towards meaningful applications to analyze sports activity and prevent injuries.
* Develop new methods to describe the 24-hour physical activity patterns using raw accelerometry data and define multidimensional profiles constructed across the key physical activity dimensions.
* Investigate the dose-response relationships between physical activity dimensions and the progression of some diseases, their symptoms and the risk of relapse in specific population of patients (e.g. people with multiple sclerosis, diabetes, cancer).
Collaborations and top research areas from the last five years
Dive into details
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PIANISSIMO: Personalized physical activity promotion in arthritis patients using smartphone-based solution
1/10/23 → 30/09/25
1/06/22 → 28/02/25
Arterial stiffness and the reallocation of time between device-measured 24-hour movement behaviours: A compositional data analysisthe ORISCAV-LUX study group, Aug 2023, In: Atherosclerosis. 379, 117185.
Research output: Contribution to journal › Article › Research › peer-reviewOpen Access
Association of diet quality indices with serum and metabolic biomarkers in participants of the ORISCAV-LUX-2 studyVahid, F., Hoge, A., Hébert, J. R., Bohn, T., Alkerwi, A., Noppe, S., Delagardelle, C., Beissel, J., Chioti, A., Stranges, S., Schmit, J. C., Lair, M. L., D’Incau, M., Pastore, J., Aguayo, G., Le Coroller, G., Vaillant, M., Samouda, H., Appenzeller, B., Malisoux, L., & 10 others, Aug 2023, In: European Journal of Nutrition. 62, 5, p. 2063-2085 23 p.
Research output: Contribution to journal › Article › Research › peer-reviewOpen Access2 Citations (Scopus)
Lion, A., Worth, M. J., Urhausen, A., Theisen, D. & Delagardelle, C., 1 Sept 2023, In: European Journal of Public Health. 33, Supplement_1, p. i43 O.2.1-1 .
Research output: Contribution to journal › Meeting Abstract › peer-reviewOpen Access