Literature DB >> 28344922

Mobile Devices and Insomnia: Understanding Risks and Benefits.

Mohammed N Khan1, Rebecca Nock2, Nalaka S Gooneratne3.   

Abstract

Mobile devices (smartphones and tablet computers) have become widely prevalent due to rapid improvements in function and decreasing costs. As of 2014, 90 % of US adults have a mobile phone, with 58 % having a smartphone, 32 % owning some type of e-reader, and 42 % of US adults owning a tablet computer. Mobile devices are particularly well-suited for the study of common conditions such as sleep difficulties because of their ubiquity. Around 35 to 49 % of the US adult population have problems falling asleep or have daytime sleepiness. These sleep disorders are often under-recognized because of patient-physician communication difficulties, low rates of medical awareness resulting in underreporting of insomnia symptoms, and limited primary care physician (PCP) training in insomnia recognition. Mobile devices have the potential to bridge some of these gaps, but they can also lead to sleep difficulties when used inappropriately.

Entities:  

Keywords:  Circadian timing; Insomnia correlates; Insomnia epidemiology; Insomnia recognition; Insomnia treatment; Mobile device determinants; Mobile device therapy; Mobile device use; Relaxation apps; Sleep apps; Sleep diaries; Snore detection

Year:  2015        PMID: 28344922      PMCID: PMC5363971          DOI: 10.1007/s40675-015-0027-7

Source DB:  PubMed          Journal:  Curr Sleep Med Rep        ISSN: 2198-6401


  38 in total

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Journal:  Med Care       Date:  2000-02       Impact factor: 2.983

Review 2.  Interventions for improving older patients' involvement in primary care episodes.

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Journal:  Fam Pract       Date:  2006-11-30       Impact factor: 2.267

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Authors:  Heidi Danker-Hopfe; Hans Dorn; Christian Bornkessel; Cornelia Sauter
Journal:  Am J Hum Biol       Date:  2010 Sep-Oct       Impact factor: 1.937

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Journal:  Biol Psychiatry       Date:  2010-12-31       Impact factor: 13.382

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Journal:  Behav Sleep Med       Date:  2013-10-24       Impact factor: 2.964

7.  Coping with depression in later life: a qualitative study of help-seeking in three ethnic groups.

Authors:  Vanessa Lawrence; Sube Banerjee; Dinesh Bhugra; Kuljeet Sangha; Sara Turner; Joanna Murray
Journal:  Psychol Med       Date:  2006-07-20       Impact factor: 7.723

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Authors:  Adam J Sorscher
Journal:  J Am Board Fam Med       Date:  2008 Mar-Apr       Impact factor: 2.657

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Authors:  H H Meissner; A Riemer; S M Santiago; M Stein; M D Goldman; A J Williams
Journal:  West J Med       Date:  1998-09

10.  Daily collection of self-reporting sleep disturbance data via a smartphone app in breast cancer patients receiving chemotherapy: a feasibility study.

Authors:  Yul Ha Min; Jong Won Lee; Yong-Wook Shin; Min-Woo Jo; Guiyun Sohn; Jae-Ho Lee; Guna Lee; Kyung Hae Jung; Joohon Sung; Beom Seok Ko; Jong-Han Yu; Hee Jeong Kim; Byung Ho Son; Sei Hyun Ahn
Journal:  J Med Internet Res       Date:  2014-05-23       Impact factor: 5.428

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  2 in total

1.  Sleep apps: current limitations and challenges.

Authors:  Sachin Ananth
Journal:  Sleep Sci       Date:  2021 Jan-Mar

2.  Mobile device use among emergency department healthcare professionals: prevalence, utilization and attitudes.

Authors:  Eveline Hitti; Dima Hadid; Jad Melki; Rima Kaddoura; Mohamad Alameddine
Journal:  Sci Rep       Date:  2021-01-21       Impact factor: 4.379

  2 in total

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