PERFORM

The PERFORM project focuses on two main case studies: biological and psychological markers in relation to i) injury risk and fatigue in athletic populations and ii) mental health in at-risk populations.

The project at a glance

Start date:

01 Mar 2025
Duration in months:

12
Funding:

IAS Audacity
Principal Investigator(s):

Christophe LEY

About

Across the health sciences, a key goal is to prevent the onset of physical or mental health problems. The identification of pre-disease states, which could inform early intervention measures, rests on reliable prognostic biological and behavioural markers. Biobehavioral mechanisms and pathways eventually leading to dysfunctional trajectories are complex and multifactorial, so that single-point measures of isolated systems are bound to have low prognostic validity. Thus, the dynamic nature of multiple bio-behavioral systems and their interplay have to be taken into account using advanced statistical methods to achieve meaningful prediction. Our PERFORM project aims to develop such new statistical methods for multi-modal, continuous and densely collected data. Importantly, method development will occur in a quasi-experimental context where causal relationships between risk and outcome are partially known, and hypotheses exist about the biobehavioral mediators. The project focuses on two main case studies: biological and psychological markers in relation to i) injury risk and fatigue in athletic populations and ii) mental health in at-risk populations.