The association between data-driven training monitoring and athlete burnout: a chain-mediated indirect path between performance anxiety and psychological exhaustion

Introduction

Data-driven training monitoring has enhanced the precision of training-load assessment, fatigue detection, and training regulation in competitive sport. However, continuous data collection, performance metric comparisons, and evaluative feedback may also constitute emerging sources of psychological stress for athletes. Drawing on the Technology Stress Generators Model, the Challenge-Hindrance Stressor Framework, and the Job Demands-Resources Model, this study examined the relationships among data-driven training monitoring stress (DTMS), evaluative anxiety, psychological exhaustion, and athlete burnout, as well as potential differences across gender and sport type.