Evidence map›Paper›PMID 34458105›Full record

ArticleInternet interventions2021

Discovering different profiles in the dynamics of depression based on real-time monitoring of mood: a first exploration.

Claire R van Genugten, Josien Schuurmans, Wouter van Ballegooijen, Adriaan W Hoogendoorn, Jan H Smit, Heleen Riper

Open access · goldAbstract read
In one paragraph

Article in Internet interventions, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

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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 at 3 institutions in 2 countries.

Claire R van GenugtenDepartment of Research and Innovation, GGZ inGeest, Specialized Mental Health Care, Amsterdam, the Netherlands.
Josien SchuurmansDepartment of Research and Innovation, GGZ inGeest, Specialized Mental Health Care, Amsterdam, the Netherlands.
Wouter van BallegooijenDepartment of Research and Innovation, GGZ inGeest, Specialized Mental Health Care, Amsterdam, the Netherlands.
Adriaan W HoogendoornDepartment of Research and Innovation, GGZ inGeest, Specialized Mental Health Care, Amsterdam, the Netherlands.
Jan H SmitDepartment of Research and Innovation, GGZ inGeest, Specialized Mental Health Care, Amsterdam, the Netherlands.
Heleen RiperDepartment of Research and Innovation, GGZ inGeest, Specialized Mental Health Care, Amsterdam, the Netherlands.
Amsterdam University Medical Centers · NLVrije Universiteit Amsterdam · NLGGZ inGeest · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough depression is typically characterized by a persistent depressed mood, mood dynamics do seem to vary across a depressed population. Heterogeneity of mood variability (magnitude of changes) and emotional inertia (speed at which mood shifts) is seen in clinical practice. However, studies investigating the heterogeneity of these mood dynamics are still scarce. The aim of the present study is to explore different distinctive profiles in real-time monitored mood dynamics among depressed persons.

methodsAfter completing baseline measures, mildly-to-moderately depressed persons (

resultsTwo profiles were identified in this sample. The overwhelming majority of the sample belonged to profile 1 (

conclusionsThe present study provides preliminary indications for patterns of average mood and mood variability, but not emotional inertia, among mildly-to-moderately depressed persons.

Indexed as

AC, autocorrelationAIC, Akaike information criterionBIC, Bayesian information criterionBLRT, bootstrapped likelihood ratio testCES-D, Center for Epidemiological Studies Depression ScaleCluster analysisDepressionDSM-5, Diagnostic manual of mental disorders, 5th editionEcological momentary assessmentEMA, ecological momentary assessmentHeterogeneityIQR, interquartile rangeLMRA-LRT, Lo-Mendell-Rubin adjusted likelihood ratio testLPA, latent profile analysisMdn, medianM, meanMood dynamicsMood instabilityPHQ-9, Patient Health QuestionnaireSD, Standard deviationVAS, Visual analogue scale

Identifiers

PMID34458105
PMCPMC8377528
OpenAlexW3184710240

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.