Evidence map›Paper›PMID 28882808›Full record

ReviewJMIR mHealth and uHealth2017

Mobile Phone Interventions for Sleep Disorders and Sleep Quality: Systematic Review.

Jong Cheol Shin, Julia Kim, Diana Grigsby-Toussaint

Abstract readReview
In one paragraph

Review in JMIR mHealth and uHealth, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 7 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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  5. Dose-response analysis of smartphone usage and self-reported sleep quality: a systematic review and meta-analysis of observational studies.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2023
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  13. Better Together: Technology-Use Gaps and Loneliness in Older Adults.Behavioral sciences (Basel, Switzerland) · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jong Cheol ShinDepartment of Kinesiology and Community Health, University of Illinois-Urbana Champaign, Champaign, IL, United States.ORCID http://orcid.org/0000-0003-0360-2309
Julia KimDivision of Nutritional Sciences, University of Illinois-Urbana Champaign, Urbana, IL, United States.ORCID http://orcid.org/0000-0002-3073-3331
Diana Grigsby-ToussaintDepartment of Kinesiology and Community Health, University of Illinois-Urbana Champaign, Champaign, IL, United States.ORCID http://orcid.org/0000-0003-0796-7284

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough mobile health technologies have been developed for interventions to improve sleep disorders and sleep quality, evidence of their effectiveness remains limited.

objectiveA systematic literature review was performed to determine the effectiveness of mobile technology interventions for improving sleep disorders and sleep quality.

methodsFour electronic databases (EBSCOhost, PubMed/Medline, Scopus, and Web of Science) were searched for articles on mobile technology and sleep interventions published between January 1983 and December 2016. Studies were eligible for inclusion if they met the following criteria: (1) written in English, (2) adequate details on study design, (3) focus on sleep intervention research, (4) sleep index measurement outcome provided, and (5) publication in peer-reviewed journals.

resultsAn initial sample of 2679 English-language papers were retrieved from five electronic databases. After screening and review, 16 eligible studies were evaluated to examine the impact of mobile phone interventions on sleep disorders and sleep quality. These included one case study, three pre-post studies, and 12 randomized controlled trials. The studies were categorized as (1) conventional mobile phone support and (2) utilizing mobile phone apps. Based on the results of sleep outcome measurements, 88% (14/16) studies showed that mobile phone interventions have the capability to attenuate sleep disorders and to enhance sleep quality, regardless of intervention type. In addition, mobile phone intervention methods (either alternatively or as an auxiliary) provide better sleep solutions in comparison with other recognized treatments (eg, cognitive behavioral therapy for insomnia).

conclusionsWe found evidence to support the use of mobile phone interventions to address sleep disorders and to improve sleep quality. Our findings suggest that mobile phone technologies can be effective for future sleep intervention research.

Indexed as

appsmHealthmobile healthsleep

Identifiers

PMID28882808
PMCPMC5608984

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.