ArticleCurrent sleep medicine reports2015
Mobile Devices and Insomnia: Understanding Risks and Benefits.
Article in Current sleep medicine reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 19 citations in OpenAlex.
- Development of a Mobile App (iCANSleep) to Treat Insomnia in Cancer Survivors: User-Centered Design Study.JMIR cancer · 2025Article
- Non-guided, mobile, CBT-I-based sleep intervention in War-torn Ukraine: A feasibility study.PloS one · 2025Article
- A nationwide study on sleep complaints and associated factors in older adults: ELSI-Brazil.Cadernos de saude publica · 2023Article
- Article
- Mobile device use among emergency department healthcare professionals: prevalence, utilization and attitudes.Scientific reports · 2021Article
- Underlying brain and genetic mechanisms linking historic phone use patterns, visual decline, and dementia risk in middle-aged and older adults.Alzheimer's & dementia (Amsterdam, Netherlands)Article
- Sleep apps: current limitations and challenges.Sleep science (Sao Paulo, Brazil)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
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.
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Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.