Evidence map›Paper›PMID 31161412›Full record

ReviewCurrent psychiatry reports2019

Smartphone-Based Tracking of Sleep in Depression, Anxiety, and Psychotic Disorders.

Talayeh Aledavood, John Torous, Ana Maria Triana Hoyos, John A Naslund, Jukka-Pekka Onnela, Matcheri Keshavan

Abstract readReview
In one paragraph

Review in Current psychiatry reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
–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

34 citing papers in PubMed.

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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

6 authors.

Talayeh AledavoodDepartment of Psychiatry, University of Helsinki, P.O. Box 22, Välskärinkatu 12 A, FI-00014, Helsinki, Finland. talayeh.aledavood@aalto.fi.
John TorousDivision of Digital Psychiatry Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Ana Maria Triana HoyosDepartment of Computer Science, Aalto University, Espoo, Finland.
John A NaslundDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA.
Jukka-Pekka OnnelaDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Matcheri KeshavanDepartment of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.

Funding

Using mobile phones for social and behavioral sensing of mood disorder patientsDP2MH103909 · NIMH · HARVARD SCHOOL OF PUBLIC HEALTH · PI ONNELA, JUKKA-PEKKA · 2013 to 2013
$2.4M
NIMH NIH HHS DP2 MH103909
6 · The paper itself

Abstract

purpose of reviewSleep is an important feature in mental illness. Smartphones can be used to assess and monitor sleep, yet there is little prior application of this approach in depressive, anxiety, or psychotic disorders. We review uses of smartphones and wearable devices for sleep research in patients with these conditions. RECENT

findingsTo date, most studies consist of pilot evaluations demonstrating feasibility and acceptability of monitoring sleep using smartphones and wearable devices among individuals with psychiatric disorders. Promising findings show early associations between behaviors and sleep parameters and agreement between clinic-based assessments, active smartphone data capture, and passively collected data. Few studies report improvement in sleep or mental health outcomes. Success of smartphone-based sleep assessments and interventions requires emphasis on promoting long-term adherence, exploring possibilities of adaptive and personalized systems to predict risk/relapse, and determining impact of sleep monitoring on improving patients' quality of life and clinically meaningful outcomes.

Indexed as

Mobile ApplicationsAnxietyCell PhoneCircadian RhythmData CollectionDepressionHumansMonitoring, PhysiologicPsychotic DisordersQuality of LifeSleepSleep Wake DisordersSmartphoneTelemedicineCircadian rhythmsMental illnessPsychotic disordersSleepSmartphonesWearable

Identifiers

PMID31161412
PMCPMC6546650

What OpenQuestion holds

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LicenceCC BY
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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.