SGS Dissertationspreis 2025

Dr. Stephan Zahno gewinnt den SGS-Dissertationspreis 2025

Im Rahmen der 16. Jahrestagung der SGS wurde zum sechsten Mal der SGS-Dissertationspreis vergeben. Gratulieren möchten wir an dieser Stelle Dr. Stephan Zahno von der Universität Bern, der eine herausragende Doktorarbeit im Bereich der Motorischen Kontrolle und motorisches Lernen im Sport verfasste. Die Zusammenfassung seiner These ist unten zu finden. 
Auf den geteilten zweiten Platz des Dissertationspreises 2025 kam Dr. Fabian Schwendinger (Universität Basel) und Dr. Bryan Charbonnet (Universität Bern).
Herzliche Gratulation den drei Gewinnern zur Auszeichnung und einem Preisgeld von 1500 CHF (1. Platz) und jeweils 750 CHF (geteilter 2. Platz).

 

 

2. Platz Fabian Schwendinger (Universität Basel):
Accelerometer-Based Physical Activity Surveillance in Healthy and Diseased Adults

Background: Accelerometers provide previse physical activity (PA) assessment, yet data quality depends on valid wear protocols and interpretability. Continuous, cut-point-free metrics capture the full 24-hour intensity spectrum, distinguishing PA volume from intensity. However, their interpretability remains limited without reference values, and relative intensity measures are lacking. This PhD project aimed to advance accelerometer-based PA surveillance by refining methodology, enhancing interpretability through reference values, and exploring how PA volume, intensity, and duration relate to health outcomes across healthy and diseased populations. 
Methods: Data from the COmPLETE study (healthy adults and patients with heart failure) involved 14-day wrist-worn accelerometry and cardiopulmonary exercise testing. Additional analyses used 7-day accelerometer data from the 2011–2014 NHANES cohort. Metrics from the R-package GGIR included average acceleration (AvAcc, PA volume) and intensity gradient (IG, PA intensity), expressed in absolute (_ABS) and relative (_REL) terms, plus PA fragmentation (MXRATIO). Associations with cardiorespiratory fitness and mortality were examined using regression and Cox proportional hazards models.
Results: Cut-point-based metrics frequently misclassified PA intensity. Both AvAcc_ABS and IG_ABS independently predicted cardiorespiratory fitness, with intensity showing stronger associations than volume. Reference values and centile curves were generated for PA metrics. IG_ABS showed curvilinear inverse associations with all-cause and cardiovascular mortality, with intensity emerging as the primary driver.
Conclusion: This thesis advances accelerometer methodology, supporting cut-point-free metrics for accurate, interpretable, and comparable PA assessment. Intensity appears key to health benefits, and new reference values enable practical application in research, clinical, and public health settings.