Assessing Similarities and Differences in Thematic Content Across Online Mental Health Communities Dedicated to Trauma-Related Mental Health Conditions

被引:0
作者
Wislocki, Katherine E. [1 ]
Naderi, Ghazal [1 ]
Schueller, Stephen M. [1 ,2 ]
Zalta, Alyson K. [1 ]
机构
[1] Univ Calif Irvine, Dept Psychol Sci, 4201 Social & Behav Sci Gateway, Irvine, AB 92697, Canada
[2] Univ Calif Irvine, Dept Informat, Irvine, AB, Canada
关键词
online mental health communities; posttraumatic stress disorder; complex posttraumatic stress disorder; natural language processing; thematic analysis; POSTTRAUMATIC-STRESS-DISORDER; COMPLEX PTSD; COMORBIDITY; SUPPORT;
D O I
10.1037/tra0001817
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
Objective: Large online mental health communities exist for both posttraumatic stress disorder (PTSD) and complex posttraumatic stress disorder (CPTSD) on Reddit. These communities have not been sufficiently understood through prior work. Method: Posts (N = 86,267) from r/ptsd and r/CPTSD subreddits from December 2020 to December 2022 were collected, processed, and assessed. A modified reflexive thematic analysis was used to generate themes and codes from corpus data and Bidirectional Encoder Representation from Transformers topic models. Representative posts (N = 397) were coded. Chi-square analyses were used to compare the frequency of themes and codes across r/ptsd and r/CPTSD. Results: Most sampled posts in r/ptsd and r/CPTSD were focused on posting for oneself. Venting was significantly more common in r/CPTSD (p < .01), whereas seeking advice was more frequent in r/ptsd (p < .01). Traumatic experiences, mental health symptoms, treatment, diagnosis, and relationships were discussed frequently in both communities. Discussions of noninterpersonal trauma, anxiety symptoms, sleep-related symptoms, flashback/reexperiencing symptoms, somatic symptoms, diagnosis, and medication use were significantly more prevalent in r/ptsd compared to r/CPTSD (p < .01). Discussions of depression/mood symptoms, resources/coping tools, and interpersonal conflict were significantly more common in r/CPTSD (p < .01). Conclusions: Findings suggest that trauma-related online mental health communities may allow users to fulfill different objectives (i.e., seeking support, venting, or asking for advice) related to a wide range of discussion themes. Findings may be used to help inform the design and delivery of informal and formal interventions directed at these communities.
引用
收藏
页数:9
相关论文
共 43 条
  • [21] Kastrenakes J., 2020, The Verge
  • [22] POSTTRAUMATIC-STRESS-DISORDER IN THE NATIONAL COMORBIDITY SURVEY
    KESSLER, RC
    SONNEGA, A
    BROMET, E
    HUGHES, M
    NELSON, CB
    [J]. ARCHIVES OF GENERAL PSYCHIATRY, 1995, 52 (12) : 1048 - 1060
  • [23] The Hierarchical Structure of Common Mental Disorders: Connecting Multiple Levels of Comorbidity, Bifactor Models, and Predictive Validity
    Kim, Hyunsik
    Eaton, Nicholas R.
    [J]. JOURNAL OF ABNORMAL PSYCHOLOGY, 2015, 124 (04) : 1064 - 1078
  • [24] How Could Peers in Online Health Community Help Improve Health Behavior
    Li, Yumei
    Yan, Xiangbin
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, 17 (09)
  • [25] Opportunities to expand access to mental health services: A case for the role of online peer support communities
    Merchant, Rutvij
    Goldin, Aleah
    Manjanatha, Deepa
    Harter, Claire
    Chandler, Judy
    Lipp, Amanda
    Nguyen, Theresa
    Naslund, John A.
    [J]. PSYCHIATRIC QUARTERLY, 2022, 93 (02) : 613 - 625
  • [26] The future of mental health care: peer-to-peer support and social media
    Naslund, J. A.
    Aschbrenner, K. A.
    Marsch, L. A.
    Bartels, S. J.
    [J]. EPIDEMIOLOGY AND PSYCHIATRIC SCIENCES, 2016, 25 (02) : 113 - 122
  • [27] Facebooking for health: An examination into the solicitation and effects of health-related social support on social networking sites
    Oh, Hyun Jung
    Lauckner, Carolyn
    Boehmer, Jan
    Fewins-Bliss, Ryan
    Li, Kang
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2013, 29 (05) : 2072 - 2080
  • [28] Examining thematic similarity, difference, and membership in three online mental health communities from reddit: A text mining and visualization approach
    Park, Albert
    Conway, Mike
    Chen, Annie T.
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2018, 78 : 98 - 112
  • [29] Pedregosa F, 2011, J MACH LEARN RES, V12, P2825
  • [30] Online mental health communities, self-efficacy and transition to further support
    Prescott, Julie
    Rathbone, Amy Leigh
    Hanley, Terry
    [J]. MENTAL HEALTH REVIEW JOURNAL, 2020, 25 (04) : 329 - 344