Evidence map›Paper›PMID 31615470›Full record

ArticleBMC psychiatry2019

Acoustic differences between healthy and depressed people: a cross-situation study.

Jingying Wang, Lei Zhang, Tianli Liu, Wei Pan, Bin Hu, Tingshao Zhu

2 registry-linked trialsAbstract readComparative Study
In one paragraph

Article in BMC psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 44 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 5 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.

NCT05455905 completednot on this mapstarted 2021, after this paper: background citation

Voice Biomarkers Predictive of Depression and Anxiety: An Observational Study

TypeobservationalSponsorKintsugi Mindful Wellness, Inc.Ran2021 to 2022Enrolled19,533ConditionsDepression, Anxiety, Healthy, Mental Health Wellness 1ArmsPatient Health Questionnaire-9, Generalized Anxiety Disorder-7, Hamilton Depression Rating Scale, Hamilton Anxiety Rating Scale
NCT06138301 naunknown statusnot on this mapstarted 2023, after this paper: background citation

Digital Interventions for Social isOLation In youThs And theIR familiEs

TypeinterventionalSponsorAzienda Ospedaliera Universitaria Integrata VeronaRan2023 to 2025Enrolled80ConditionsSocial Isolation, Psychosocial ProblemArmsCognitive Behavioral Therapy (CBT), Cognitive Remediation (CR)
3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  16. Optimal feature selection and model explanation for reef fish sound classification.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
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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.

Jingying WangInstitute of Psychology, Chinese Academy of Sciences, Beijing, China.
Lei ZhangDepartment of Computer Science, Virginia Tech, Blacksburg, VA, USA.
Tianli LiuInstitute of Population Research, Peking University, Beijing, China.
Wei PanInstitute of Psychology, Chinese Academy of Sciences, Beijing, China.
Bin HuSchool of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu Province, China.
Tingshao ZhuInstitute of Psychology, Chinese Academy of Sciences, Beijing, China. tszhu@psych.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAbnormalities in vocal expression during a depressed episode have frequently been reported in people with depression, but less is known about if these abnormalities only exist in special situations. In addition, the impacts of irrelevant demographic variables on voice were uncontrolled in previous studies. Therefore, this study compares the vocal differences between depressed and healthy people under various situations with irrelevant variables being regarded as covariates.

methodsTo examine whether the vocal abnormalities in people with depression only exist in special situations, this study compared the vocal differences between healthy people and patients with unipolar depression in 12 situations (speech scenarios). Positive, negative and neutral voice expressions between depressed and healthy people were compared in four tasks. Multiple analysis of covariance (MANCOVA) was used for evaluating the main effects of variable group (depressed vs. healthy) on acoustic features. The significances of acoustic features were evaluated by both statistical significance and magnitude of effect size.

resultsThe results of multivariate analysis of covariance showed that significant differences between the two groups were observed in all 12 speech scenarios. Although significant acoustic features were not the same in different scenarios, we found that three acoustic features (loudness, MFCC5 and MFCC7) were consistently different between people with and without depression with large effect magnitude.

conclusionsVocal differences between depressed and healthy people exist in 12 scenarios. Acoustic features including loudness, MFCC5 and MFCC7 have potentials to be indicators for identifying depression via voice analysis. These findings support that depressed people's voices include both situation-specific and cross-situational patterns of acoustic features.

Indexed as

Speech AcousticsVoice QualityAdultFemaleHumansMajor Depressive DisorderMaleMiddle AgedYoung AdultAcoustic featureCross-situationMajor depressive disorderVoice analysis

Identifiers

PMID31615470
PMCPMC6794822

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Registered trials

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.