Wearable-specific Indicators of Physical Activity Behaviour as novel digital biomarkers for precision health

Physical activity (PA) is a complex human behaviour, which implies that multiple dimensions need to be taken into account in order to reveal a complete picture of the PA behaviour profile of an individual. The access to the raw signal (i.e., time series) of the wearable device presents the opportunity to extract many features of the signal and the PA behaviour. This project focus on the identification and the use of Wearable-specific Indicators of Physical Activity Behaviour (WIPAB) for a better understanding of the complex nature of the physical behavior, as well as its relationship with health. It is a long-term project based on a stepwise approach that includes:
1) The identification of the advanced analytical methods to assess physical activity behaviour using accelerometer time series (Scoping review);
2) The use of these WIPAB for a comprehensive description of physical activity and sedentary time in a national sample of Luxembourg residents: the ORISCAV‑LUX 2 study;
3) The investigation of the associations between these WIPAB and health conditions such as insulin sensitivity and cardiometabolic health;
4) The development of approaches
for patient stratification and health outcome prediction using these WIPAB;
5) The adaptation of the advanced analytical methods in the context of data collected with consumer-based activity tracker.