Evidence map›Paper›PMID 40683953›Full record

ArticleNpj mental health research2025

A randomised cross over trial examining the linguistic markers of depression and anxiety in symptomatic adults.

Bridianne O'Dea, Philip J Batterham, Taylor A Braund, Cassandra Chakouch, Mark E Larsen, Michael Berk, Michelle Torok, Helen Christensen, Nick Glozier

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Npj mental health research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Bridianne O'DeaFlinders University Institute for Mental Health and Wellbeing, Flinders University, Adelaide, South Australia, Australia. bridianne.odea@flinders.edu.au.
Philip J BatterhamBlack Dog Institute, University of New South Wales, Sydney, New South Wales, Australia.
Taylor A BraundBlack Dog Institute, University of New South Wales, Sydney, New South Wales, Australia.
Cassandra ChakouchBlack Dog Institute, University of New South Wales, Sydney, New South Wales, Australia.
Mark E LarsenBlack Dog Institute, University of New South Wales, Sydney, New South Wales, Australia.
Michael BerkInstitute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Barwon Health, Victoria, Australia.
Michelle TorokBlack Dog Institute, University of New South Wales, Sydney, New South Wales, Australia.
Helen ChristensenBlack Dog Institute, University of New South Wales, Sydney, New South Wales, Australia.
Nick GlozierCentral Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.

Funding

National Health and Medical Research Council GNT1165233National Health and Medical Research Council GNT2017131
6 · The paper itself

Abstract

Linguistic features within individuals' text data may indicate their mental health. This trial examined the linguistic markers of depressive and anxiety symptoms in adults. Using a randomised cross over trial design, 218 adults provided eight different types of text data of varying frequencies and emotional valance. Linguistic features were extracted using LIWC-22 and correlated with self-reported symptoms. Machine learning was used to determine associations. No linguistic features were consistently associated with depressive or anxiety symptoms within or across all tasks. Features associated with depressive symptoms were different for each task and there was only some degree of reliability of these features within tasks. In all machine learning models, predicted values were weakly associated with actual values. Some text tasks had lower levels of engagement and negative impacts on mood. Overall, the linguistic markers of depression and anxiety shifted in response to contextual factors and the nature of the text analysed. This trial was prospectively registered with the Australian New Zealand Clinical Trials Registry (date registered: 15 September 2021, ACTRN12621001248853).

Identifiers

PMID40683953
PMCPMC12276349

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.