Identifying Sleep Disorders From Search Engine Activity: Combining User-Generated Data With a Clinically Validated Questionnaire.

Background: Sleep disorders are experienced by up to 40% of the population but their diagnosis is often delayed by the availability of specialists.

Objective: We propose the use of search engine activity in conjunction with a validated web-based sleep questionnaire to facilitate wide-scale screening of prevalent sleep disorders.

Methods: Search advertisements offering a web-based sleep disorder screening questionnaire were shown on the Bing search engine to individuals who indicated an interest in sleep disorders.

Evaluating the impact of a sleep health education and a personalised smartphone application on sleep, productivity and healthcare utilisation among employees: results of a randomised clinical trial.

Objectives: We evaluated an online Sleep Health and Wellness (SHAW) programme paired with dayzz, a personalised sleep training programme deployed via smartphone application (dayzz app) that promotes healthy sleep and treatment for sleep disorders, among employees at a large healthcare organisation.

Design: Open-label, randomised, parallel-group controlled trial.

Setting: A healthcare employer in the USA.

A clinical trial to evaluate the dayzz smartphone app on employee sleep, health, and productivity at a large US employer.

Sleep deficiency is a hidden cost of our 24-7 society, with 70% of adults in the US admitting that they routinely obtain insufficient sleep. Further, it is estimated that 50-70 million adults in the US have a sleep disorder. Undiagnosed and untreated sleep disorders are associated with diminished health for the individual and increased costs for the employer.

Sleep restriction alters physiological and emotional responses to emotion induction.

New Findings: What is the central question of this study? The aim of the present study was to assess the effects of sleep restriction on self-report and autonomic responses to neutral and sad film clips. What is the main finding and its importance? Ratings of sadness and heart rate deceleration were greater while watching the sad clip, with no effect of sleep restriction, whereas heart rate variability and skin conductance were impacted by sleep restriction and, to a lesser extent, by film clips. The results suggest that autonomic function was adaptively altered by sleep restriction, in order to maintain a 'normal' response to emotional cues, despite mounting fatigue.

Brief digital sleep questionnaire powered by machine learning prediction models identifies common sleep disorders.

Introduction: We developed and validated an abbreviated Digital Sleep Questionnaire (DSQ) to identify common societal sleep disturbances including insomnia, delayed sleep phase syndrome (DSPS), insufficient sleep syndrome (ISS), and risk for obstructive sleep apnea (OSA).

Methods: The DSQ was administered to 3799 community volunteers, of which 2113 were eligible and consented to the study. Of those, 247 were interviewed by expert sleep physicians, who diagnosed ≤2 sleep disorders.