• woman checking fitness and health tracking

TIME: Temporal Influences of Movement and Exercise

  • Goal:  Assess differences in the micro-temporal processes underlying the adoption versus maintenance of behaviors
  • Theoretical Framework: Dual-Process Model of Decision-making and Behavior
  • Measurement: Prospective within-subject case-crossover observational design collecting Intensive Longitudinal Data (ILD) across 12-months in ethnically-diverse emerging adults (ages 18-24)
  • Modeling: Two-pronged approach: Use machine learning (ML) to identify person-specific combinations of factors predicting behavior episodes and lapses. Use multilevel regression to identify time-varying and time-invariant moderators