Evidence map›Paper›PMID 29374207›Full record

ArticleScientific reports2018

Variability in phase and amplitude of diurnal rhythms is related to variation of mood in bipolar and borderline personality disorder.

O Carr, K E A Saunders, A Tsanas, A C Bilderbeck, N Palmius, J R Geddes, R Foster, G M Goodwin, M De Vos

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
7.4field-weighted citation impact, top 3% of its field
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

28 citing papers in PubMed, 57 citations in OpenAlex.

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  13. Circadian Mechanisms in Medicine.The New England journal of medicine · 2021
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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

9 authors at 2 institutions in 1 country.

O CarrDepartment of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, OX3 7DQ, UK. oliver.carr@eng.ox.ac.uk.ORCID http://orcid.org/0000-0003-1669-1005
K E A SaundersDepartment of Psychiatry, University of Oxford, Oxford, OX3 7JX, UK.
A TsanasUsher Institute of Population Health Sciences and Informatics, Medical School, University of Edinburgh, Edinburgh, EH16 4UX, UK.
A C BilderbeckDepartment of Psychiatry, University of Oxford, Oxford, OX3 7JX, UK.
N PalmiusDepartment of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, OX3 7DQ, UK.ORCID http://orcid.org/0000-0003-2766-3309
J R GeddesDepartment of Psychiatry, University of Oxford, Oxford, OX3 7JX, UK.
R FosterSleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 9DU, UK.
G M GoodwinDepartment of Psychiatry, University of Oxford, Oxford, OX3 7JX, UK.
M De VosDepartment of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, OX3 7DQ, UK.
University of Oxford · GBOxford Health NHS Foundation Trust · GB

Funding

Medical Research Council G0700477Medical Research Council MC_PC_17215Wellcome Trust
6 · The paper itself

Abstract

Variable mood is an important feature of psychiatric disorders. However, its measurement and relationship to objective measureas of physiology and behaviour have rarely been studied. Smart-phones facilitate continuous personalized prospective monitoring of subjective experience and behavioural and physiological signals can be measured through wearable devices. Such passive data streams allow novel estimates of diurnal variability. Phase and amplitude of diurnal rhythms were quantified using new techniques that fitted sinusoids to heart rate (HR) and acceleration signals. We investigated mood and diurnal variation for four days in 20 outpatients with bipolar disorder (BD), 14 with borderline personality disorder (BPD) and 20 healthy controls (HC) using a smart-phone app, portable electrocardiogram (ECG), and actigraphy. Variability in negative affect, positive affect, and irritability was elevated in patient groups compared with HC. The study demonstrated convincing associations between variability in subjective mood and objective variability in diurnal physiology. For BPD there was a pattern of positive correlations between mood variability and variation in activity, sleep and HR. The findings suggest BPD is linked more than currently believed with a disorder of diurnal rhythm; in both BPD and BD reducing the variability of sleep phase may be a way to reduce variability of subjective mood.

Indexed as

AffectCircadian RhythmActigraphyAdultBipolar DisorderBorderline Personality DisorderElectrocardiographyFemaleHumansMaleMiddle AgedProspective StudiesSmartphoneYoung Adult

Identifiers

PMID29374207
PMCPMC5786095
OpenAlexW2791305778

What OpenQuestion holds

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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.