Early Warning Signals of Sudden Changes in Walking Behavior

Health-protecting behaviors such as walking are crucial for health, yet positive behavior changesare often accompanied by setbacks and relapses. Previous research suggests that critical fluctuations in behavioral time series might foreshadow relapses as early warning signals. This study examines the association between critical fluctuations, quantified as dynamic complexity(DC), and impending sudden changes in walking behavior. We analyzed step count data from 21,425 participants during enrollment in a digital physical activity intervention, covering a total of 5,474,501 person-days. Step counts were recorded via smartphones or wearables. Generalized multilevel models revealed a positive association between DC and impending sudden losses in walking (odds ratios [OR] 1.93 - 1.32). In contrast, the association between DC and impending sudden gains was weaker and less consistent (OR = 1.10 - 0.89). These findings provide evidence for the role of critical fluctuations as early warning signals for sudden losses in walking behaviorand highlight their potential in designing timely and targeted interventions.