Sleep duration, timing and quality: How smartphone data predict labor productivity

Researchers at University of Tsukuba examined the association between sleep characteristics and workplace productivity using real-world sleep data from approximately 80,000 users (spanning more than 2 million nights) of sleep-tracking smartphone…

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News Source: medicalxpress.com