Language Patterns Discriminate Mild Depression From Normal Sadness and Euthymic State

ObjectivesDeviations from typical word use have been previously reported in clinical depression, but language patterns of mild depression (MD), as distinct from normal sadness (NS) and euthymic state, are unknown. In this study, we aimed to apply the linguistic approach as an additional diagnostic k...

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Main Authors: Daria Smirnova, Paul Cumming, Elena Sloeva, Natalia Kuvshinova, Dmitry Romanov, Gennadii Nosachev
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-04-01
Series:Frontiers in Psychiatry
Subjects:
Online Access:http://journal.frontiersin.org/article/10.3389/fpsyt.2018.00105/full
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spelling doaj-0429ebcd1b5c46d29dc4c7671b3530e32020-11-24T21:17:05ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402018-04-01910.3389/fpsyt.2018.00105329035Language Patterns Discriminate Mild Depression From Normal Sadness and Euthymic StateDaria Smirnova0Daria Smirnova1Paul Cumming2Elena Sloeva3Natalia Kuvshinova4Dmitry Romanov5Gennadii Nosachev6Department of Psychiatry, Addictology, Psychotherapy and Clinical Psychology, Samara State Medical University, Samara, RussiaCentre for Clinical Research in Neuropsychiatry, University of Western Australia, Perth, WA, AustraliaSchool of Psychology and Counselling, Queensland University of Technology, QIMR Berghofer Institute, Brisbane, QLD, AustraliaDepartment of Pedagogy, Psychology and Psycholinguistics, Samara State Medical University, Samara, RussiaDepartment of Pedagogy, Psychology and Psycholinguistics, Samara State Medical University, Samara, RussiaDepartment of Psychiatry, Addictology, Psychotherapy and Clinical Psychology, Samara State Medical University, Samara, RussiaDepartment of Psychiatry, Addictology, Psychotherapy and Clinical Psychology, Samara State Medical University, Samara, RussiaObjectivesDeviations from typical word use have been previously reported in clinical depression, but language patterns of mild depression (MD), as distinct from normal sadness (NS) and euthymic state, are unknown. In this study, we aimed to apply the linguistic approach as an additional diagnostic key for understanding clinical variability along the continuum of affective states.MethodsWe studied 402 written reports from 124 Russian-speaking patients and 77 healthy controls (HC), including 35 cases of NS, using hand-coding procedures. The focus of our psycholinguistic methods was on lexico-semantic [e.g., rhetorical figures (metaphors, similes)], syntactic [e.g., predominant sentence type (single-clause and multi-clause)], and lexico-grammatical [e.g., pronouns (indefinite, personal)] variables. Statistical evaluations included Cohen’s kappa for inter-rater reliability measures, a non-parametric approach (Mann–Whitney U-test and Pearson chi-square test), one-way ANOVA for between-group differences, Spearman’s and point-biserial correlations to analyze relationships between linguistic and gender variables, discriminant analysis (Wilks’ λ) of linguistic variables in relation to the affective diagnostic types, all using SPSS-22 (significant, p < 0.05).ResultsIn MD, as compared with healthy individuals, written responses were longer, demonstrated descriptive rather than analytic style, showed signs of spoken and figurative language, single-clause sentences domination over multi-clause, atypical word order, increased use of personal and indefinite pronouns, and verb use in continuous/imperfective and past tenses. In NS, as compared with HC, we found greater use of lexical repetitions, omission of words, and verbs in continuous and present tenses. MD was significantly differentiated from NS and euthymic state by linguistic variables [98.6%; Wilks’ λ(40) = 0.009; p < 0.001; r = 0.992]. The highest predictors in discrimination between MD, NS, and euthymic state groups were the variables of word order (typical/atypical) (r = −0.405), ellipses (omission of words) (r = 0.583), colloquialisms (informal words/phrases) (r = 0.534), verb tense (past/present/future) (r = −0.460), verbs form (continuous/perfect) (r = 0.345), amount of reflexive (e.g., myself)/personal (r = 0.344), and negative (e.g., nobody)/indefinite (r = 0.451) pronouns. The most significant between-group differences were observed in MD as compared with both NS and euthymic state.ConclusionMD is characterized by patterns of atypical language use distinguishing depression from NS and euthymic state, which points to a potential role of linguistic indicators in diagnosing affective states.http://journal.frontiersin.org/article/10.3389/fpsyt.2018.00105/fulleuthymic statelanguage patternsmild depressionnegative pronounsnormal sadnesspast tense verbs
collection DOAJ
language English
format Article
sources DOAJ
author Daria Smirnova
Daria Smirnova
Paul Cumming
Elena Sloeva
Natalia Kuvshinova
Dmitry Romanov
Gennadii Nosachev
spellingShingle Daria Smirnova
Daria Smirnova
Paul Cumming
Elena Sloeva
Natalia Kuvshinova
Dmitry Romanov
Gennadii Nosachev
Language Patterns Discriminate Mild Depression From Normal Sadness and Euthymic State
Frontiers in Psychiatry
euthymic state
language patterns
mild depression
negative pronouns
normal sadness
past tense verbs
author_facet Daria Smirnova
Daria Smirnova
Paul Cumming
Elena Sloeva
Natalia Kuvshinova
Dmitry Romanov
Gennadii Nosachev
author_sort Daria Smirnova
title Language Patterns Discriminate Mild Depression From Normal Sadness and Euthymic State
title_short Language Patterns Discriminate Mild Depression From Normal Sadness and Euthymic State
title_full Language Patterns Discriminate Mild Depression From Normal Sadness and Euthymic State
title_fullStr Language Patterns Discriminate Mild Depression From Normal Sadness and Euthymic State
title_full_unstemmed Language Patterns Discriminate Mild Depression From Normal Sadness and Euthymic State
title_sort language patterns discriminate mild depression from normal sadness and euthymic state
publisher Frontiers Media S.A.
series Frontiers in Psychiatry
issn 1664-0640
publishDate 2018-04-01
description ObjectivesDeviations from typical word use have been previously reported in clinical depression, but language patterns of mild depression (MD), as distinct from normal sadness (NS) and euthymic state, are unknown. In this study, we aimed to apply the linguistic approach as an additional diagnostic key for understanding clinical variability along the continuum of affective states.MethodsWe studied 402 written reports from 124 Russian-speaking patients and 77 healthy controls (HC), including 35 cases of NS, using hand-coding procedures. The focus of our psycholinguistic methods was on lexico-semantic [e.g., rhetorical figures (metaphors, similes)], syntactic [e.g., predominant sentence type (single-clause and multi-clause)], and lexico-grammatical [e.g., pronouns (indefinite, personal)] variables. Statistical evaluations included Cohen’s kappa for inter-rater reliability measures, a non-parametric approach (Mann–Whitney U-test and Pearson chi-square test), one-way ANOVA for between-group differences, Spearman’s and point-biserial correlations to analyze relationships between linguistic and gender variables, discriminant analysis (Wilks’ λ) of linguistic variables in relation to the affective diagnostic types, all using SPSS-22 (significant, p < 0.05).ResultsIn MD, as compared with healthy individuals, written responses were longer, demonstrated descriptive rather than analytic style, showed signs of spoken and figurative language, single-clause sentences domination over multi-clause, atypical word order, increased use of personal and indefinite pronouns, and verb use in continuous/imperfective and past tenses. In NS, as compared with HC, we found greater use of lexical repetitions, omission of words, and verbs in continuous and present tenses. MD was significantly differentiated from NS and euthymic state by linguistic variables [98.6%; Wilks’ λ(40) = 0.009; p < 0.001; r = 0.992]. The highest predictors in discrimination between MD, NS, and euthymic state groups were the variables of word order (typical/atypical) (r = −0.405), ellipses (omission of words) (r = 0.583), colloquialisms (informal words/phrases) (r = 0.534), verb tense (past/present/future) (r = −0.460), verbs form (continuous/perfect) (r = 0.345), amount of reflexive (e.g., myself)/personal (r = 0.344), and negative (e.g., nobody)/indefinite (r = 0.451) pronouns. The most significant between-group differences were observed in MD as compared with both NS and euthymic state.ConclusionMD is characterized by patterns of atypical language use distinguishing depression from NS and euthymic state, which points to a potential role of linguistic indicators in diagnosing affective states.
topic euthymic state
language patterns
mild depression
negative pronouns
normal sadness
past tense verbs
url http://journal.frontiersin.org/article/10.3389/fpsyt.2018.00105/full
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