Evidence map›Paper›PMID 35802401›Full record

ArticleJMIR mental health2022

Acoustic and Linguistic Features of Impromptu Speech and Their Association With Anxiety: Validation Study.

Bazen Gashaw Teferra, Sophie Borwein, Danielle D DeSouza, William Simpson, Ludovic Rheault, Jonathan Rose

Abstract read
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Article in JMIR mental health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 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.

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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  14. Speech markers of depression dimensions across cognitive status.Alzheimer's & dementia (Amsterdam, Netherlands)
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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.

Bazen Gashaw TeferraThe Edward S Rogers Sr Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada.ORCID https://orcid.org/0000-0001-5325-9639
Sophie BorweinSchool of Public Policy, Simon Fraser University, Vancouver, BC, Canada.ORCID https://orcid.org/0000-0002-6698-6648
Danielle D DeSouzaWinterlight Labs, Toronto, ON, Canada.ORCID https://orcid.org/0000-0001-6861-5691
William SimpsonWinterlight Labs, Toronto, ON, Canada.ORCID https://orcid.org/0000-0003-1671-5660
Ludovic RheaultDepartment of Political Science, Munk School of Global Affairs and Public Policy, University of Toronto, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-9599-0427
Jonathan RoseThe Edward S Rogers Sr Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-3551-2175

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe measurement and monitoring of generalized anxiety disorder requires frequent interaction with psychiatrists or psychologists. Access to mental health professionals is often difficult because of high costs or insufficient availability. The ability to assess generalized anxiety disorder passively and at frequent intervals could be a useful complement to conventional treatment and help with relapse monitoring. Prior work suggests that higher anxiety levels are associated with features of human speech. As such, monitoring speech using personal smartphones or other wearable devices may be a means to achieve passive anxiety monitoring.

objectiveThis study aims to validate the association of previously suggested acoustic and linguistic features of speech with anxiety severity.

methodsA large number of participants (n=2000) were recruited and participated in a single web-based study session. Participants completed the Generalized Anxiety Disorder 7-item scale assessment and provided an impromptu speech sample in response to a modified version of the Trier Social Stress Test. Acoustic and linguistic speech features were a priori selected based on the existing speech and anxiety literature, along with related features. Associations between speech features and anxiety levels were assessed using age and personal income as covariates.

resultsWord count and speaking duration were negatively correlated with anxiety scores (r=-0.12; P<.001), indicating that participants with higher anxiety scores spoke less. Several acoustic features were also significantly (P<.05) associated with anxiety, including the mel-frequency cepstral coefficients, linear prediction cepstral coefficients, shimmer, fundamental frequency, and first formant. In contrast to previous literature, second and third formant, jitter, and zero crossing rate for the z score of the power spectral density acoustic features were not significantly associated with anxiety. Linguistic features, including negative-emotion words, were also associated with anxiety (r=0.10; P<.001). In addition, some linguistic relationships were sex dependent. For example, the count of words related to power was positively associated with anxiety in women (r=0.07; P=.03), whereas it was negatively associated with anxiety in men (r=-0.09; P=.01).

conclusionsBoth acoustic and linguistic speech measures are associated with anxiety scores. The amount of speech, acoustic quality of speech, and gender-specific linguistic characteristics of speech may be useful as part of a system to screen for anxiety, detect relapse, or monitor treatment.

Indexed as

acoustic featuresgeneralized anxiety disorderimpromptu speechlinguistic featuresmental healthmobile phone

Identifiers

PMID35802401
PMCPMC9308078

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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.