Item request has been placed! ×
Item request cannot be made. ×
loading  Processing Request

Social Media Discussions Predict Mental Health Consultations on College Campuses.

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
اقرأ على الانترنت اقرأ أكثر حفظ في قائمتي
  • معلومة اضافية
    • المصدر:
      Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
    • بيانات النشر:
      Original Publication: London : Nature Publishing Group, copyright 2011-
    • الموضوع:
      Mental Health* ; Universities*; Mental Health Services/*trends ; Referral and Consultation/*trends ; Social Media/*trends ; Student Health Services/*trends ; Students/*psychology; Health Services Needs and Demand/trends ; Humans ; Machine Learning ; Natural Language Processing ; Needs Assessment/trends ; Time Factors
    • نبذة مختصرة :
      The mental health of college students is a growing concern, and gauging the mental health needs of college students is difficult to assess in real-time and in scale. To address this gap, researchers and practitioners have encouraged the use of passive technologies. Social media is one such "passive sensor" that has shown potential as a viable "passive sensor" of mental health. However, the construct validity and in-practice reliability of computational assessments of mental health constructs with social media data remain largely unexplored. Towards this goal, we study how assessing the mental health of college students using social media data correspond with ground-truth data of on-campus mental health consultations. For a large U.S. public university, we obtained ground-truth data of on-campus mental health consultations between 2011-2016, and collected 66,000 posts from the university's Reddit community. We adopted machine learning and natural language methodologies to measure symptomatic mental health expressions of depression, anxiety, stress, suicidal ideation, and psychosis on the social media data. Seasonal auto-regressive integrated moving average (SARIMA) models of forecasting on-campus mental health consultations showed that incorporating social media data led to predictions with r = 0.86 and SMAPE = 13.30, outperforming models without social media data by 41%. Our language analyses revealed that social media discussions during high mental health consultations months consisted of discussions on academics and career, whereas months of low mental health consultations saliently show expressions of positive affect, collective identity, and socialization. This study reveals that social media data can improve our understanding of college students' mental health, particularly their mental health treatment needs.
      (© 2022. The Author(s).)
    • References:
      Science. 2011 Sep 30;333(6051):1878-81. (PMID: 21960633)
      JMIR Ment Health. 2020 Aug 12;7(8):e16969. (PMID: 32784180)
      Psychol Sci. 2004 Oct;15(10):687-93. (PMID: 15447640)
      Proc ACM Web Sci Conf. 2019 Jun;2019:255-264. (PMID: 32954384)
      J Pers Soc Psychol. 1999 Dec;77(6):1296-312. (PMID: 10626371)
      J Med Internet Res. 2020 Nov 24;22(11):e22600. (PMID: 33156805)
      Proc Natl Acad Sci U S A. 2020 May 12;117(19):10165-10171. (PMID: 32341156)
      Proc Int AAAI Conf Weblogs Soc Media. 2018 Jun;2018:320-329. (PMID: 30505628)
      Depress Anxiety. 2011 Jun;28(6):447-55. (PMID: 21400639)
      Psychiatr Serv. 2019 Jan 1;70(1):60-63. (PMID: 30394183)
      Acad Emerg Med. 1998 Jul;5(7):739-44. (PMID: 9678399)
      J Med Internet Res. 2017 Aug 14;19(8):e289. (PMID: 28807891)
      Sci Rep. 2020 Mar 12;10(1):4346. (PMID: 32165648)
      Annu Rev Psychol. 2003;54:547-77. (PMID: 12185209)
      PLoS One. 2013 Sep 25;8(9):e73791. (PMID: 24086296)
      Dev Psychol. 2012 Mar;48(2):369-80. (PMID: 22288367)
      Proc SIGCHI Conf Hum Factor Comput Syst. 2017 May;2017:1634-1646. (PMID: 28840202)
      J Lang Soc Psychol. 2021 Jan;40(1):21-41. (PMID: 34413563)
      Soc Psychiatry Psychiatr Epidemiol. 2008 Aug;43(8):667-72. (PMID: 18398558)
      Front Psychiatry. 2019 Apr 15;10:246. (PMID: 31037061)
      BMJ Open. 2019 Nov 4;9(11):e030355. (PMID: 31685502)
      Proc Int AAAI Conf Weblogs Soc Media. 2019 Jun 7;13:440-451. (PMID: 32280562)
      Stat Med. 2001 Oct 30;20(20):3051-69. (PMID: 11590632)
    • Grant Information:
      R01 MH117172 United States MH NIMH NIH HHS; R01MH117172 National Institutes of Health,United States
    • الموضوع:
      Date Created: 20220108 Date Completed: 20220302 Latest Revision: 20220302
    • الموضوع:
      20231215
    • الرقم المعرف:
      PMC8741988
    • الرقم المعرف:
      10.1038/s41598-021-03423-4
    • الرقم المعرف:
      34996909