Microtemporal Processes Underlying Health Behavior Adoption and Maintenance
Funded by NIH/NCI U01HL146327
This study will use real-time mobile technologies to collect intensive longitudinal data examining differences in the micro-temporal processes underlying the adoption and maintenance of physical activity, low sedentary time, and sufficient sleep duration. We will conduct a prospective within-subject case-crossover observational study across a 12-month period among ethnically-diverse, emerging adults (ages 18-29). We will collect intensive longitudinal data using intermittent, real-time self-report and continuous, sensor-based passive monitoring with smartwatches and smartphones to predict within-subject variation in the likelihood of behavior episodes and lapses.
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