Literature DB >> 27526311

Language and hope in schizophrenia-spectrum disorders.

Kelsey A Bonfils1, Lauren Luther2, Ruth L Firmin2, Paul H Lysaker3, Kyle S Minor2, Michelle P Salyers2.   

Abstract

Hope is integral to recovery for those with schizophrenia. Considering recent advancements in the examination of clients' lexical qualities, we were interested in how clients' words reflect hope. Using computerized lexical analysis, we examined social, emotion, and future words' relations to hope and its pathways and agency components. Forty-five clients provided detailed narratives about their life and mental illness. Transcripts were analyzed using the Linguistic Inquiry and Word Count program (LIWC), which assigns words to categories (e.g., "anxiety") based on a pre-existing dictionary. Correlations and linear multiple regression were used to examine relationships between lexical qualities and hope. Hope and its subcomponents had significant or trending bivariate correlations in expected directions with several emotion-related word categories (anger and sadness) but were not associated with expected categories such as social words, positive emotions, optimism, achievement, and future words. In linear multiple regressions, no LIWC variable significantly predicted hope agency, but anger words significantly predicted both total hope and hope pathways. Our findings indicate lexical analysis tools can be used to investigate recovery-oriented concepts such as hope, and results may inform clinical practice. Future research should aim to replicate our findings in larger samples.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Goals; Lexical analysis; Psychosis; Recovery; Speech

Mesh:

Year:  2016        PMID: 27526311     DOI: 10.1016/j.psychres.2016.08.013

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  7 in total

1.  Natural Language Processing and Psychosis: On the Need for Comprehensive Psychometric Evaluation.

Authors:  Alex S Cohen; Zachary Rodriguez; Kiara K Warren; Tovah Cowan; Michael D Masucci; Ole Edvard Granrud; Terje B Holmlund; Chelsea Chandler; Peter W Foltz; Gregory P Strauss
Journal:  Schizophr Bull       Date:  2022-09-01       Impact factor: 7.348

2.  Clues from caregiver emotional language usage highlight the link between putative social environment and the psychosis-risk syndrome.

Authors:  Tina Gupta; William S Horton; Claudia M Haase; Emily E Carol; Vijay A Mittal
Journal:  Schizophr Res       Date:  2022-04-07       Impact factor: 4.662

3.  Lexical analysis of emotional responses to "real-world" experiences in individuals with schizophrenia.

Authors:  J Vakhrusheva; S Khan; R Chang; M Hansen; L Ayanruoh; J J Gross; D Kimhy
Journal:  Schizophr Res       Date:  2019-12-13       Impact factor: 4.939

Review 4.  Using Language Processing and Speech Analysis for the Identification of Psychosis and Other Disorders.

Authors:  Cheryl Mary Corcoran; Guillermo A Cecchi
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2020-06-14

5.  Feasibility of the Schizophrenia Hope Scale-9: A Psychometric Study.

Authors:  Kwisoon Choe; Eunjung Ryu; Sunghee Kim
Journal:  Int J Environ Res Public Health       Date:  2020-11-20       Impact factor: 3.390

6.  Essential Elements That Contribute to the Recovery of Persons With Severe Mental Illness: A Systematic Scoping Study.

Authors:  Atul Jaiswal; Karin Carmichael; Shikha Gupta; Tina Siemens; Pavlina Crowley; Alexandra Carlsson; Gord Unsworth; Terry Landry; Naomi Brown
Journal:  Front Psychiatry       Date:  2020-11-19       Impact factor: 4.157

7.  Lowering costs for large-scale screening in psychosis: a systematic review and meta-analysis of performance and value of information for speech-based psychiatric evaluation.

Authors:  Felipe Argolo; Guilherme Magnavita; Natalia Bezerra Mota; Carolina Ziebold; Dirceu Mabunda; Pedro M Pan; André Zugman; Ary Gadelha; Cheryl Corcoran; Rodrigo A Bressan
Journal:  Braz J Psychiatry       Date:  2020 Nov-Dec       Impact factor: 2.697

  7 in total

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