Literature DB >> 29452025

Subgrouping the users of a specialized app for eating disorders.

Shiri Sadeh-Sharvit1, Jane Paik Kim1, Alison M Darcy1, Eric Neri1, Molly Vierhile1, Athena Robinson1, Jenna Tregarthen2, James D Lock1.   

Abstract

Although mobile technologies for eating disorders (EDs) are burgeoning, there is limited data about the clinical characteristics of individuals using specialized smartphone applications (apps) without accompanying traditional forms of treatment. This study evaluated whether the users of an ED app cluster in clinically meaningful groups. Participants were 1,280 app users (91.3% female; mean age 27) who reported not being in a weekly treatment for their ED. A hierarchical cluster analysis distinguished five groups of participants, all approximating DSM-5 ED categories. One cluster comprised of non-female, ethnically diverse users with Bulimia Nervosa features. Findings suggest that app users resemble known patient classifications.

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Year:  2018        PMID: 29452025     DOI: 10.1080/10640266.2018.1440043

Source DB:  PubMed          Journal:  Eat Disord        ISSN: 1064-0266            Impact factor:   3.222


  3 in total

1.  Predicting eating disorders from Internet activity.

Authors:  Shiri Sadeh-Sharvit; Ellen E Fitzsimmons-Craft; C Barr Taylor; Elad Yom-Tov
Journal:  Int J Eat Disord       Date:  2020-07-24       Impact factor: 4.861

2.  A systematic digital approach to implementation and dissemination of eating disorders interventions to large populations identified through online screening: implications for post-traumatic stress.

Authors:  C Barr Taylor; Josef I Ruzek; Ellen E Fitzsimmons-Craft; Andrea K Graham; Katherine N Balantekin
Journal:  Mhealth       Date:  2018-07-10

3.  Comparing a Tailored Self-Help Mobile App With a Standard Self-Monitoring App for the Treatment of Eating Disorder Symptoms: Randomized Controlled Trial.

Authors:  Jenna Tregarthen; Jane Paik Kim; Shiri Sadeh-Sharvit; Eric Neri; Hannah Welch; James Lock
Journal:  JMIR Ment Health       Date:  2019-11-21
  3 in total

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