Literature DB >> 35692890

Can Text Messages Identify Suicide Risk in Real Time? A Within-Subjects Pilot Examination of Temporally Sensitive Markers of Suicide Risk.

Jeffrey J Glenn1,2,3, Alicia L Nobles1,4, Laura E Barnes1, Bethany A Teachman1.   

Abstract

Objective tools to assess suicide risk are needed to determine when someone is at imminent risk. This pilot laboratory investigation utilized a within-subjects design to identify patterns in text messaging (SMS) unique to high-risk periods preceding suicide attempts. Individuals reporting a history of suicide attempt (N=33) retrospectively identified past attempts and periods of lower risk (e.g., suicide ideation). Language analysis software scored 189,478 text messages to capture three psychological constructs: self-focus, sentiment, and social engagement. Mixed-effects models tested whether these constructs differed in general (means) and over time (slopes) two weeks before a suicide attempt, relative to lower-risk periods. Regarding mean differences, no language features uniquely differentiated suicide attempts from other episodes. However, when examining patterns over time, anger increased and positive emotion decreased to a greater extent as one approached a suicide attempt. Results suggest private electronic communication has the potential to provide real-time digital markers of suicide risk.

Entities:  

Keywords:  Digital Data; Digital Phenotyping; Sentiment Analysis; Suicide; Text Mining

Year:  2020        PMID: 35692890      PMCID: PMC9186807          DOI: 10.1177/2167702620906146

Source DB:  PubMed          Journal:  Clin Psychol Sci        ISSN: 2167-7034


  36 in total

1.  Predicting suicides after psychiatric hospitalization in US Army soldiers: the Army Study To Assess Risk and rEsilience in Servicemembers (Army STARRS).

Authors:  Ronald C Kessler; Christopher H Warner; Christopher Ivany; Maria V Petukhova; Sherri Rose; Evelyn J Bromet; Millard Brown; Tianxi Cai; Lisa J Colpe; Kenneth L Cox; Carol S Fullerton; Stephen E Gilman; Michael J Gruber; Steven G Heeringa; Lisa Lewandowski-Romps; Junlong Li; Amy M Millikan-Bell; James A Naifeh; Matthew K Nock; Anthony J Rosellini; Nancy A Sampson; Michael Schoenbaum; Murray B Stein; Simon Wessely; Alan M Zaslavsky; Robert J Ursano
Journal:  JAMA Psychiatry       Date:  2015-01       Impact factor: 21.596

2.  Self-Injurious Thoughts and Behaviors Interview: development, reliability, and validity in an adolescent sample.

Authors:  Matthew K Nock; Elizabeth B Holmberg; Valerie I Photos; Bethany D Michel
Journal:  Psychol Assess       Date:  2007-09

3.  Describing and Measuring the Pathway to Suicide Attempts: A Preliminary Study.

Authors:  Alexander J Millner; Michael D Lee; Matthew K Nock
Journal:  Suicide Life Threat Behav       Date:  2016-08-01

4.  Gaining insights from social media language: Methodologies and challenges.

Authors:  Margaret L Kern; Gregory Park; Johannes C Eichstaedt; H Andrew Schwartz; Maarten Sap; Laura K Smith; Lyle H Ungar
Journal:  Psychol Methods       Date:  2016-08-08

5.  Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media.

Authors:  Munmun De Choudhury; Emre Kiciman; Mark Dredze; Glen Coppersmith; Mrinal Kumar
Journal:  Proc SIGCHI Conf Hum Factor Comput Syst       Date:  2016-05

6.  Apples to oranges?: a direct comparison between suicide attempters and suicide completers.

Authors:  Timothy M DeJong; James C Overholser; Craig A Stockmeier
Journal:  J Affect Disord       Date:  2009-11-10       Impact factor: 4.839

7.  A hybrid model for automatic emotion recognition in suicide notes.

Authors:  Hui Yang; Alistair Willis; Anne de Roeck; Bashar Nuseibeh
Journal:  Biomed Inform Insights       Date:  2012-01-30

8.  A hybrid approach to sentiment sentence classification in suicide notes.

Authors:  Sunghwan Sohn; Manabu Torii; Dingcheng Li; Kavishwar Wagholikar; Stephen Wu; Hongfang Liu
Journal:  Biomed Inform Insights       Date:  2012-01-30

9.  Mental disorders, comorbidity and suicidal behavior: results from the National Comorbidity Survey Replication.

Authors:  M K Nock; I Hwang; N A Sampson; R C Kessler
Journal:  Mol Psychiatry       Date:  2009-03-31       Impact factor: 15.992

10.  Single-Item Measurement of Suicidal Behaviors: Validity and Consequences of Misclassification.

Authors:  Alexander J Millner; Michael D Lee; Matthew K Nock
Journal:  PLoS One       Date:  2015-10-23       Impact factor: 3.240

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  1 in total

1.  Tweet Classification to Assist Human Moderation for Suicide Prevention.

Authors:  Ramit Sawhney; Harshit Joshi; Alicia Nobles; Rajiv Ratn Shah
Journal:  Proc Int AAAI Conf Weblogs Soc Media       Date:  2021-05-22
  1 in total

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