Literature DB >> 28792228

What Do You Say Before You Relapse? How Language Use in a Peer-to-peer Online Discussion Forum Predicts Risky Drinking among Those in Recovery.

Rachel Kornfield1, Catalina L Toma2, Dhavan V Shah1, Tae Joon Moon1, David H Gustafson3.   

Abstract

Increasingly, individuals with alcohol use disorder (AUD) seek and provide support for relapse prevention in text-based online environments such as discussion forums. This paper investigates whether language use within a peer-to-peer discussion forum can predict future relapse among individuals treated for AUD. A total of 104 AUD sufferers who had completed residential treatment participated in a mobile phone-based relapse-prevention program, where they communicated via an online forum over the course of a year. We extracted patterns of language use on the forum within the first four months on study using Linguistic Inquiry and Word Count (LIWC), a dictionary-based text analysis program. Participants reported their incidence of risky drinking via a survey at 4, 8, and 12 months. A logistic regression model was built to predict the likelihood that individuals would engage in risky drinking within a year based on their language use, while controlling for baseline characteristics and rates of utilizing the mobile system. Results show that all baseline characteristics and system use factors explained just 13% of the variance in relapse, whereas a small number of linguistic cues, including swearing and cognitive mechanism words, accounted for an additional 32% of the total 45% of variance in relapse explained by the model. Effective models for predicting relapse are needed. Messages exchanged on AUD forums could provide an unobtrusive and cost-effective window into the future health outcomes of AUD sufferers, and their psychological underpinnings. As online communication expands, models that leverage user-submitted text toward predicting relapse will be increasingly scalable and actionable.

Entities:  

Mesh:

Year:  2017        PMID: 28792228      PMCID: PMC6059378          DOI: 10.1080/10410236.2017.1350906

Source DB:  PubMed          Journal:  Health Commun        ISSN: 1041-0236


  45 in total

1.  Sources of motivation for abstinence: a replication analysis of the reasons for quitting questionnaire.

Authors:  L Downey; D B Rosengren; D M Donovan
Journal:  Addict Behav       Date:  2001 Jan-Feb       Impact factor: 3.913

2.  Changes in natural language use as an indicator of psychotherapeutic change in personality disorders.

Authors:  Arnoud Arntz; Lisa D Hawke; Lotte Bamelis; Philip Spinhoven; Marc L Molendijk
Journal:  Behav Res Ther       Date:  2012-01-04

3.  Sobering stories: narratives of self-redemption predict behavioral change and improved health among recovering alcoholics.

Authors:  William L Dunlop; Jessica L Tracy
Journal:  J Pers Soc Psychol       Date:  2013-03

4.  Effects of prayer and religious expression within computer support groups on women with breast cancer.

Authors:  Bret Shaw; Jeong Yeob Han; Eunkyung Kim; David Gustafson; Robert Hawkins; James Cleary; Fiona McTavish; Suzanne Pingree; Patricia Eliason; Crystal Lumpkins
Journal:  Psychooncology       Date:  2007-07       Impact factor: 3.894

5.  Cognition, commitment language, and behavioral change among cocaine-dependent patients.

Authors:  Efrat Aharonovich; Paul C Amrhein; Adam Bisaga; Edward V Nunes; Deborah S Hasin
Journal:  Psychol Addict Behav       Date:  2008-12

6.  Linguistic markers of psychological change surrounding September 11, 2001.

Authors:  Michael A Cohn; Matthias R Mehl; James W Pennebaker
Journal:  Psychol Sci       Date:  2004-10

7.  Predictive modeling of addiction lapses in a mobile health application.

Authors:  Ming-Yuan Chih; Timothy Patton; Fiona M McTavish; Andrew J Isham; Chris L Judkins-Fisher; Amy K Atwood; David H Gustafson
Journal:  J Subst Abuse Treat       Date:  2013-09-10

Review 8.  Emphasizing interpersonal factors: an extension of the Witkiewitz and Marlatt relapse model.

Authors:  Dorian Hunter-Reel; Barbara McCrady; Thomas Hildebrandt
Journal:  Addiction       Date:  2009-06-22       Impact factor: 6.526

Review 9.  Mobile Delivery of Treatment for Alcohol Use Disorders: A Review of the Literature.

Authors:  Andrew Quanbeck; Ming-Yuan Chih; Andrew Isham; David Gustafson
Journal:  Alcohol Res       Date:  2014

10.  Health App Use Among US Mobile Phone Owners: A National Survey.

Authors:  Paul Krebs; Dustin T Duncan
Journal:  JMIR Mhealth Uhealth       Date:  2015-11-04       Impact factor: 4.773

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  10 in total

1.  Using Facebook language to predict and describe excessive alcohol use.

Authors:  Rupa Jose; Matthew Matero; Garrick Sherman; Brenda Curtis; Salvatore Giorgi; Hansen Andrew Schwartz; Lyle H Ungar
Journal:  Alcohol Clin Exp Res       Date:  2022-05-16       Impact factor: 3.928

2.  Brain tract structure predicts relapse to stimulant drug use.

Authors:  Loreen Tisdall; Kelly H MacNiven; Claudia B Padula; Josiah K Leong; Brian Knutson
Journal:  Proc Natl Acad Sci U S A       Date:  2022-06-21       Impact factor: 12.779

3.  Linguistic Predictors of Problematic Drinking in Alcohol-related Facebook Posts.

Authors:  Lyn M van Swol; Chen-Ting Chang; Bradley Kerr; Megan Moreno
Journal:  J Health Commun       Date:  2020-02-25

4.  The Role of Social Support in Motivating Reductions in Alcohol Use: A Test of Three Models of Social Support in Alcohol-Impaired Drivers.

Authors:  Tae-Joon Moon; Charles W Mathias; Jillian Mullen; Tara E Karns-Wright; Nathalie Hill-Kapturczak; John D Roache; Donald M Dougherty
Journal:  Alcohol Clin Exp Res       Date:  2018-11-15       Impact factor: 3.455

5.  What parents of adolescents in residential substance use treatment want from continuing care: A content analysis of online forum posts.

Authors:  Sarah A Helseth; Kelli Scott; Katherine I Escobar; Frances Jimenez; Sara J Becker
Journal:  Subst Abus       Date:  2021-05-04       Impact factor: 3.716

6.  Intraindividual, Dyadic, and Network Communication in a Digital Health Intervention: Distinguishing Message Exposure from Message Production.

Authors:  Ranran Z Mi; Rachel Kornfield; Dhavan V Shah; Adam Maus; David H Gustafson
Journal:  Health Commun       Date:  2020-11-25

Review 7.  Social Media as a Research Tool (SMaaRT) for Risky Behavior Analytics: Methodological Review.

Authors:  Tavleen Singh; Kirk Roberts; Trevor Cohen; Nathan Cobb; Jing Wang; Kayo Fujimoto; Sahiti Myneni
Journal:  JMIR Public Health Surveill       Date:  2020-11-30

8.  Detecting Recovery Problems Just in Time: Application of Automated Linguistic Analysis and Supervised Machine Learning to an Online Substance Abuse Forum.

Authors:  Rachel Kornfield; Prathusha K Sarma; Dhavan V Shah; Fiona McTavish; Gina Landucci; Klaren Pe-Romashko; David H Gustafson
Journal:  J Med Internet Res       Date:  2018-06-12       Impact factor: 5.428

9.  Exploring the association between problem drinking and language use on Facebook in young adults.

Authors:  Davide Marengo; Danny Azucar; Fabrizia Giannotta; Valerio Basile; Michele Settanni
Journal:  Heliyon       Date:  2019-10-09

10.  Associations Between Substance Use and Instagram Participation to Inform Social Network-Based Screening Models: Multimodal Cross-Sectional Study.

Authors:  Brandon G Bergman; Weiyi Wu; Lisa A Marsch; Benjamin S Crosier; Timothy C DeLise; Saeed Hassanpour
Journal:  J Med Internet Res       Date:  2020-09-16       Impact factor: 5.428

  10 in total

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