This paper is in the following e-collection/theme issue:

Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1515) Depression and Mood Disorders; Suicide Prevention (1363) Posttraumatic Stress Disorder (PTSD) (116)

Published on in Vol 20, No 2 (2018): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9007, first published .
Help-Seeking on Facebook Versus More Traditional Sources of Help: Cross-Sectional Survey of Military Veterans

Help-Seeking on Facebook Versus More Traditional Sources of Help: Cross-Sectional Survey of Military Veterans

Help-Seeking on Facebook Versus More Traditional Sources of Help: Cross-Sectional Survey of Military Veterans

Authors of this article:

Alan R Teo1, 2, 3 Author Orcid Image ;   Heather E Marsh1 Author Orcid Image ;   Samuel B L Liebow2 Author Orcid Image ;   Jason I Chen1, 2 Author Orcid Image ;   Christopher W Forsberg1 Author Orcid Image ;   Christina Nicolaidis3, 4, 5 Author Orcid Image ;   Somnath Saha1, 3, 4, 6 Author Orcid Image ;   Steven K Dobscha1, 2 Author Orcid Image
Article Authors Cited by (5) Tweetations (13) Metrics

Journals

  1. Ng A, Reddy M, Zalta A, Schueller S. Veterans’ Perspectives on Fitbit Use in Treatment for Post-Traumatic Stress Disorder: An Interview Study. JMIR Mental Health 2018;5(2):e10415 View
  2. Monteith L, Holliday R, Hoffmire C, Bahraini N. Female Veterans’ Willingness to Seek Veterans Health Administration and Non–Veterans Health Administration Services for Suicidal Thoughts and Mental Health Concerns. Medical Care 2021;59:S23 View
  3. Zhou J, Saha K, Lopez Carron I, Yoo D, Deeter C, De Choudhury M, Arriaga R. Veteran Critical Theory as a Lens to Understand Veterans' Needs and Support on Social Media. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW1):1 View
  4. Langener A, Bringmann L, Kas M, Stulp G. Predicting Mood Based on the Social Context Measured Through the Experience Sampling Method, Digital Phenotyping, and Social Networks. Administration and Policy in Mental Health and Mental Health Services Research 2024;51(4):455 View
  5. Zuromski K, Low D, Jones N, Kuzma R, Kessler D, Zhou L, Kastman E, Epstein J, Madden C, Ghosh S, Gowel D, Nock M. Detecting suicide risk among U.S. servicemembers and veterans: a deep learning approach using social media data. Psychological Medicine 2024;54(12):3379 View