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Med."],"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Using polysomnography over multiple weeks to characterize an individual\u2019s habitual sleep behavior while accurate, is difficult to upscale. As an alternative, we integrated sleep measurements from a consumer sleep-tracker, smartphone-based ecological momentary assessment, and user-phone interactions in 198 participants for 2 months. User retention averaged &gt;80% for all three modalities. Agreement in bed and wake time estimates across modalities was high (rho\u2009=\u20090.81\u20130.92) and were adrift of one another for an average of 4\u2009min, providing redundant sleep measurement. On the ~23% of nights where discrepancies between modalities exceeded 1\u2009h, k-means clustering revealed three patterns, each consistently expressed within a given individual. The three corresponding groups that emerged differed systematically in age, sleep timing, time in bed, and peri-sleep phone usage. 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