Evidence map›Paper›PMID 32839276›Full record

ArticleEvidence-based mental health2020

Daily self-reported and automatically generated smartphone-based sleep measurements in patients with newly diagnosed bipolar disorder, unaffected first-degree relatives and healthy control individuals.

Sharleny Stanislaus, Maj Vinberg, Sigurd Melbye, Mads Frost, Jonas Busk, Jakob Eyvind Bardram, Maria Faurholt-Jepsen, Lars Vedel Kessing

Registry-linked trialAbstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Evidence-based mental health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02888262 (The Bipolar Illness Onset Study), which is not on this map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 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.

NCT02888262 active not recruitingnot on this map

The Bipolar Illness Onset Study (the BIO Study)

TypeobservationalSponsorMental Health Centre Copenhagen, Bispebjerg and Frederiksberg HospitalRan2016 to 2026Enrolled700ConditionsBipolar Disorder
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
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

8 authors.

Sharleny StanislausCopenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, Rigshospitalet, Copenhagen, Denmark sharleny.stanislaus.01@regionh.dk.ORCID 0000-0003-1073-6436
Maj VinbergCopenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, Rigshospitalet, Copenhagen, Denmark.
Sigurd MelbyeCopenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, Rigshospitalet, Copenhagen, Denmark.
Mads FrostMonsenso Aps, Copenhagen, Denmark.
Jonas BuskCopenhagen Center for Health Technology (CACHET), Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.
Jakob Eyvind BardramCopenhagen Center for Health Technology (CACHET), Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.
Maria Faurholt-JepsenCopenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, Rigshospitalet, Copenhagen, Denmark.
Lars Vedel KessingCopenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, Rigshospitalet, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectives(1) To investigate daily smartphone-based self-reported and automatically generated sleep measurements, respectively, against validated rating scales; (2) to investigate if daily smartphone-based self-reported sleep measurements reflected automatically generated sleep measurements and (3) to investigate the differences in smartphone-based sleep measurements between patients with bipolar disorder (BD), unaffected first-degree relatives (UR) and healthy control individuals (HC).

methodsWe included 203 patients with BD, 54 UR and 109 HC in this study. To investigate whether smartphone-based sleep calculated from self-reported bedtime, wake-up time and screen on/off time reflected validated rating scales, we used the Pittsburgh Sleep Quality Index (PSQI) and sleep items on the Hamilton Depression Rating Scale 17-item (HAMD-17) and the Young Mania Rating Scale (YMRS).

findings(1) Self-reported smartphone-based sleep was associated with the PSQI and sleep items of the HAMD and the YMRS. (2) Automatically generated smartphone-based sleep measurements were associated with daily self-reports of hours slept between 12:00 midnight and 06:00. (3) According to smartphone-based sleep, patients with BD slept less between 12:00 midnight and 06:00, with more interruption and daily variability compared with HC. However, differences in automatically generated smartphone-based sleep were not statistically significant.

conclusionSmartphone-based data may represent measurements of sleep patterns that discriminate between patients with BD and HC and potentially between UR and HC. CLINICAL IMPLICATION: Detecting sleep disturbances and daily variability in sleep duration using smartphones may be helpful for both patients and clinicians for monitoring illness activity. TRIAL REGISTRATION NUMBER: clinicaltrials.gov (NCT02888262).

Indexed as

AdultBipolar DisorderDenmarkFemaleHealthy VolunteersHumansMaleMonitoring, PhysiologicPsychiatric Status Rating ScalesSelf ReportSleep Wake DisordersSmartphoneYoung Adultadult psychiatrydepression & mood disorders

Identifiers

PMID32839276
PMCPMC10231580

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.