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Background: During the last few years, technology support for various health-related areas is becoming increasingly common. Not only are nutrition apps or sports apps available, but apps regarding sleep are also available. As the prevalence of sleep disturbances in infancy and childhood is quite high, supportive strategies are necessary to help families to sleep healthy. Thus, this study addresses the topic of sleep apps for babies and children. Methods: Sleep apps were searched using different strings. Age-oriented apps were scored using different criteria which were theoretically based (e.g., description, costs, downloads). Results: We found 573 sleep apps using the Apple App Store and Google Play Store with the search strings "sleep" and "app" and "baby" or "children". Of these, 15.4% were not declared for children or babies. Content of most apps was lullabies or music and songs. Sleep-related aspects as sleep information or sleep education was very rare. Conclusions: There is a new field of sleep help—with sleep apps used by families. Because of the high prevalence concerning sleep problems, the market concerning sleep helping apps is well used. However, most of the sleep apps did not have declarations concerning age and other factors. Parents should be careful using sleep apps for their offspring. [ABSTRACT FROM AUTHOR]

Copyright of Somnologie is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Somnologie is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background: Retrospective self-report questionnaires about sleep difficulties constitute a standard instrument for clinical routine. Nevertheless, their actual validity has been barely examined. Furthermore, a sleep quality index could be able to provide easy access to further specific anamnesis. Objectives: This study investigates whether a retrospective sleep diagnostic questionnaire created by a sleep laboratory and a sleep-quality index are valid methods to measure sleep behaviours for patients with sleep-related breathing disorders. Methods: For 14 days, 326 patients completed a sleep diary, followed by a retrospective diagnostic questionnaire. Stepwise multiple regression analyses were conducted to test if the questionnaire predicted the average sleep diary ratings. A sleep quality index, generated by questionnaire items, was analysed as an additional predictor. Personal features like age and gender were adjusted. Results: Questionnaire items significantly predicted sleep diary measures (all p < 0.001). The sleep quality index (10.43 ± 6.16 points) was found to be a significant predictor of feeling rested, daytime tiredness, alertness (all p < 0.05) but not for sleep latency (p > 0.05). Conclusions: The diagnostic questionnaire seems to be a valid method to measure daily sleep behaviour and symptomatology for patients with sleep-related breathing disorders. The sleep-quality index conveys information concerning daily conditions besides single questionnaire items, which distinguishes it as a valuable tool in the diagnostic process. [ABSTRACT FROM AUTHOR]