Evidence map›Paper›PMID 40538504›Full record

ArticleNPP - digital psychiatry and neuroscience2025

Tapping into truth: an exploratory cross-sectional analysis of psychomotor symptoms and typing behaviour in an adolescent observational cohort.

Taylor A Braund, Debopriyo Bal, Helen Christensen, Philip J Batterham, Bojana Vilus, Kate Maston, Mark E Larsen, Aliza Werner-Seidler, Kit Huckvale, Alexis E Whitton and 2 more

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In one paragraph

Article in NPP - digital psychiatry and neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Taylor A BraundBlack Dog Institute, University of New South Wales, Sydney, NSW Australia.ORCID 0000-0001-8408-9070
Debopriyo BalBlack Dog Institute, University of New South Wales, Sydney, NSW Australia.
Helen ChristensenBlack Dog Institute, University of New South Wales, Sydney, NSW Australia.ORCID 0000-0003-0435-2065
Philip J BatterhamCentre for Mental Health Research, The Australian National University, Canberra, Australia.
Bojana VilusBlack Dog Institute, University of New South Wales, Sydney, NSW Australia.
Kate MastonBlack Dog Institute, University of New South Wales, Sydney, NSW Australia.
Mark E LarsenBlack Dog Institute, University of New South Wales, Sydney, NSW Australia.
Aliza Werner-SeidlerBlack Dog Institute, University of New South Wales, Sydney, NSW Australia.
Kit HuckvaleCentre for Digital Transformation of Health, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC Australia.
Alexis E WhittonBlack Dog Institute, University of New South Wales, Sydney, NSW Australia.ORCID 0000-0002-7944-2172
Gabriel TillmanAustralian Institute of Family Studies, Melbourne, VIC Australia.
Bridianne O'DeaBlack Dog Institute, University of New South Wales, Sydney, NSW Australia.ORCID 0000-0003-1731-210X

Funding

Wellcome Trust
6 · The paper itself

Abstract

Typing behaviour derived from smartphone keystroke metadata is an emerging digital phenotype that may assist in diagnosing and monitoring depressive symptoms. While psychomotor agitation and slowing have been hypothesised as depressive symptoms that may influence typing behaviour, no studies have directly tested this assumption. Here, we tested whether specific depressive symptoms were associated with various keystroke features of typing behaviour in adolescents. Adolescents from an Australian cohort study (

Indexed as

BiomarkersSigns and symptoms

Identifiers

PMID40538504
PMCPMC12173933

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.