Literature DB >> 17683092

Linguistic analyses of natural written language: unobtrusive assessment of cognitive style in eating disorders.

Markus Wolf1, Jan Sedway, Cynthia M Bulik, Hans Kordy.   

Abstract

OBJECTIVE: Linguistic style analysis is introduced as a method of nonreactive measurement of cognitive style in individuals with eating disorders (ED).
METHOD: A journaling exercise was implemented on an ED inpatient unit. Thirty-four written essays collected from an unselected sample of 11 patients were analysed with the Linguistic Inquiry and Word Count, with regard to predefined text categories. At each session, self-report of participant well-being and session impact were assessed.
RESULTS: Compared to essays from a student control group, and message-board entries of individuals who had recovered from an anorexia nervosa (AN), the inpatient journals displayed the highest rates of self-related words, negative emotion words, and the lowest rate of positive emotion words. Inpatients used more anxiety words and fewer words that refer to social processes and eating concerns than individuals who had recovered from an AN. Associations were found between linguistic categories, prewriting well-being, and postwriting evaluation.
CONCLUSION: Linguistic style analysis offers insights into cognitive styles, and provides a promising approach for their unobtrusive measurement in ED. (c) 2007 by Wiley Periodicals, Inc.

Entities:  

Mesh:

Year:  2007        PMID: 17683092     DOI: 10.1002/eat.20445

Source DB:  PubMed          Journal:  Int J Eat Disord        ISSN: 0276-3478            Impact factor:   4.861


  8 in total

1.  Behavioral evaluations of anesthesiology residents and overuse of the first-person pronoun in personal statements.

Authors:  John J Badal; Wayne K Jacobsen; Bradley W Holt
Journal:  J Grad Med Educ       Date:  2011-06

2.  Recovery Amid Pro-Anorexia: Analysis of Recovery in Social Media.

Authors:  Stevie Chancellor; Tanushree Mitra; Munmun De Choudhury
Journal:  Proc SIGCHI Conf Hum Factor Comput Syst       Date:  2016-05

Review 3.  Moving beyond self-report data collection in the natural environment: A review of the past and future directions for ambulatory assessment in eating disorders.

Authors:  Kathryn E Smith; Tyler B Mason; Adrienne Juarascio; Lauren M Schaefer; Ross D Crosby; Scott G Engel; Stephen A Wonderlich
Journal:  Int J Eat Disord       Date:  2019-07-16       Impact factor: 4.861

4.  Predicting Social Anxiety Treatment Outcome Based on Therapeutic Email Conversations.

Authors:  Mark Hoogendoorn; Thomas Berger; Ava Schulz; Timo Stolz; Peter Szolovits
Journal:  IEEE J Biomed Health Inform       Date:  2016-08-17       Impact factor: 5.772

5.  Verbal emotional expressiveness in women with eating disorders: recalling autobiographical memories.

Authors:  Raquel Pinto; Sónia Gonçalves; Joana Saraiva; Pedro B Albuquerque
Journal:  Eat Weight Disord       Date:  2018-10-31       Impact factor: 4.652

6.  Social interactions in online eating disorder communities: A network perspective.

Authors:  Tao Wang; Markus Brede; Antonella Ianni; Emmanouil Mentzakis
Journal:  PLoS One       Date:  2018-07-30       Impact factor: 3.240

7.  Recognizing hotspots in Brief Eclectic Psychotherapy for PTSD by text and audio mining.

Authors:  Sytske Wiegersma; Mirjam J Nijdam; Arjan J van Hessen; Khiet P Truong; Bernard P Veldkamp; Miranda Olff
Journal:  Eur J Psychotraumatol       Date:  2020-03-17

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
  8 in total

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