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Jilin Normal University

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  1. Wearable data moves past prediction: swapping sedentary time for exercise yields sleep-mediated intervention contrasts

    Wearable studies of student exercise, sleep and distress have mostly predicted associations, not what happens to distress when sedentary time is replaced by exercise. CISM writes such changes as reallocation operators that preserve each student's daily waking-time budget, generates next-night sleep and later distress from one temporally ordered stochastic response model, and estimates population and individualized policy contrasts with g-computation and sequentially augmented estimators. In the structural causal-recovery setting, full CISM reaches policy MAE 0.096, PEHE 0.129 and 94.1% interval coverage, while removing the time budget raises policy MAE to 0.151.

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