Literature DB >> 19819423

Word use of outpatients with a personality disorder and concurrent or previous major depressive disorder.

Marc L Molendijk1, Lotte Bamelis, Arnold A P van Emmerik, Arnoud Arntz, Rimke Haringsma, Philip Spinhoven.   

Abstract

In a recent study, Rude, Gortner, and Pennebaker (2004) found word use to be related to depression and vulnerability to depression in the essays of college students. We sought to replicate and extend these findings in a clinical sample. Written essays of 304 psychiatric outpatients with a personality disorder and a mixed psychiatric profile on DSM-IV axis-I and 108 healthy controls were examined with word count software. Data on the tendency to be discrepant about the current self compared to a more ideal self were also gathered. We found that psychiatric outpatients in general used more words referring to the self and negative emotion words and fewer positive emotion words, compared to healthy controls. However, word-use proved unrelated to depression specifically. Actual-ideal self discrepancies were related to patient status and to current depression. Contrary to our hypothesis, these discrepancies did not correlate with the use of words referring to the self. We conclude that the negative content and self-focus of written essays and high levels of discrepancy reflect a negative thinking style that is common to a range of psychiatric disorders rather than being specific to depression. Copyright 2009 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2009        PMID: 19819423     DOI: 10.1016/j.brat.2009.09.007

Source DB:  PubMed          Journal:  Behav Res Ther        ISSN: 0005-7967


  9 in total

1.  Can linguistic analysis be used to identify whether adolescents with a chronic illness are depressed?

Authors:  Lauren Stephanie Jones; Emma Anderson; Maria Loades; Rebecca Barnes; Esther Crawley
Journal:  Clin Psychol Psychother       Date:  2020-01-09

2.  Individuals with depression express more distorted thinking on social media.

Authors:  Krishna C Bathina; Marijn Ten Thij; Lorenzo Lorenzo-Luaces; Lauren A Rutter; Johan Bollen
Journal:  Nat Hum Behav       Date:  2021-02-11

3.  Design of a multicentered randomized controlled trial on the clinical and cost effectiveness of schema therapy for personality disorders.

Authors:  Lotte L M Bamelis; Silvia M A A Evers; Arnoud Arntz
Journal:  BMC Public Health       Date:  2012-01-24       Impact factor: 3.295

4.  Linguistic analysis of the autobiographical memories of individuals with major depressive disorder.

Authors:  Philip Himmelstein; Scott Barb; Mark A Finlayson; Kymberly D Young
Journal:  PLoS One       Date:  2018-11-26       Impact factor: 3.240

5.  Using language in social media posts to study the network dynamics of depression longitudinally.

Authors:  Sean W Kelley; Claire M Gillan
Journal:  Nat Commun       Date:  2022-02-15       Impact factor: 17.694

6.  Predicting Mental Health Status in Remote and Rural Farming Communities: Computational Analysis of Text-Based Counseling.

Authors:  Mark Antoniou; Dominique Estival; Christa Lam-Cassettari; Weicong Li; Anne Dwyer; Abìlio de Almeida Neto
Journal:  JMIR Form Res       Date:  2022-06-21

7.  Me, myself, and I: self-referent word use as an indicator of self-focused attention in relation to depression and anxiety.

Authors:  Timo Brockmeyer; Johannes Zimmermann; Dominika Kulessa; Martin Hautzinger; Hinrich Bents; Hans-Christoph Friederich; Wolfgang Herzog; Matthias Backenstrass
Journal:  Front Psychol       Date:  2015-10-09

8.  Machine learning of language use on Twitter reveals weak and non-specific predictions.

Authors:  Sean W Kelley; Caoimhe Ní Mhaonaigh; Louise Burke; Robert Whelan; Claire M Gillan
Journal:  NPJ Digit Med       Date:  2022-03-25

9.  Behavioral Activation and Depression Symptomatology: Longitudinal Assessment of Linguistic Indicators in Text-Based Therapy Sessions.

Authors:  Hannah A Burkhardt; George S Alexopoulos; Michael D Pullmann; Thomas D Hull; Patricia A Areán; Trevor Cohen
Journal:  J Med Internet Res       Date:  2021-07-14       Impact factor: 5.428

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.