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A Smartphone App for Adolescents With Sleep Disturbance: Development of the Sleep Ninja

A Smartphone App for Adolescents With Sleep Disturbance: Development of the Sleep Ninja

Accordingly, sleep disturbance can seriously derail psychological, social, and vocational pathways into adulthood.The most effective treatments for insomnia are behavioral treatments such as cognitive behavioral therapy for insomnia (CBT-I), which has consistently

Aliza Werner-Seidler, Bridianne O'Dea, Fiona Shand, Lara Johnston, Anna Frayne, Andrea S Fogarty, Helen Christensen

JMIR Ment Health 2017;4(3):e28

Treatment Preferences for Internet-Based Cognitive Behavioral Therapy for Insomnia in Japan: Online Survey

Treatment Preferences for Internet-Based Cognitive Behavioral Therapy for Insomnia in Japan: Online Survey

They consisted of 200 individuals with insomnia who were using a medication for insomnia, 200 individuals with insomnia who were not taking any insomnia medication, and 200 individuals without insomnia by their self-reports.

Daisuke Sato, Chihiro Sutoh, Yoichi Seki, Eiichi Nagai, Eiji Shimizu

JMIR Form Res 2019;3(2):e12635

Mobile Phone-Delivered Cognitive Behavioral Therapy for Insomnia: A Randomized Waitlist Controlled Trial

Mobile Phone-Delivered Cognitive Behavioral Therapy for Insomnia: A Randomized Waitlist Controlled Trial

IntroductionApproximately 10% of the western adult population have chronic insomnia [1]. People with insomnia experience difficulties falling asleep, staying asleep, or both, and as a consequence they are sleep deprived during the day [2].

Corine HG Horsch, Jaap Lancee, Fiemke Griffioen-Both, Sandor Spruit, Siska Fitrianie, Mark A Neerincx, Robbert Jan Beun, Willem-Paul Brinkman

J Med Internet Res 2017;19(4):e70

Secure and Scalable mHealth Data Management Using Blockchain Combined With Client Hashchain: System Design and Validation

Secure and Scalable mHealth Data Management Using Blockchain Combined With Client Hashchain: System Design and Validation

Our previous study also demonstrated an mHealth system for insomnia using a mobile phone app together with a blockchain storage platform and evaluated resistance against tampering of the data collected with mobile phones [24].Although medical data registered

Tomomitsu Motohashi, Tomonobu Hirano, Kosuke Okumura, Makiko Kashiyama, Daisuke Ichikawa, Taro Ueno

J Med Internet Res 2019;21(5):e13385

Use of the Consumer-Based Meditation App Calm for Sleep Disturbances: Cross-Sectional Survey Study

Use of the Consumer-Based Meditation App Calm for Sleep Disturbances: Cross-Sectional Survey Study

Those who endorsed at least one type of sleep disturbance and self-reported a diagnosis of insomnia were categorized as such (ie, insomnia diagnosis).Statistical AnalysisData were analyzed using SPSS Statistics for Mac, version 26.0 (IBM Corp).

Jennifer Huberty, Megan E Puzia, Linda Larkey, Michael R Irwin, Ana-Maria Vranceanu

JMIR Form Res 2020;4(11):e19508

Clustering Insomnia Patterns by Data From Wearable Devices: Algorithm Development and Validation Study

Clustering Insomnia Patterns by Data From Wearable Devices: Algorithm Development and Validation Study

IntroductionApproximately 30% of contemporary people have one or more symptoms of insomnia, and insomnia sufferers encounter difficulty falling or staying asleep [1,2].

Sungkyu Park, Sang Won Lee, Sungwon Han, Meeyoung Cha

JMIR Mhealth Uhealth 2019;7(12):e14473