Hung-Chu Lin1, Manyu Li2, Courtney Stevens3, Stephanie Pinder-Amaker4, Justin A Chen5, Cindy H Liu6. 1. University of Louisiana at Lafayette. Electronic address: hung-chu.lin@louisiana.edu. 2. University of Louisiana at Lafayette. 3. Willamette University. 4. McLean Hospital, Harvard Medical School. 5. Massachusetts General Hospital, Harvard Medical School. 6. Brigham and Women's Hospital, Harvard Medical School.
Abstract
PURPOSE: This study aimed at describing self-harm and suicidality (SHS) in relation to unobserved heterogeneous groups of college students based on their psychiatric symptoms. SHS of each latent class were examined by race/ethnicity to inform risk factors relevant to subgroups of U.S. college population. METHODS: The participants (N = 42,779) were drawn from the Spring 2017 American College Health Association-National College Health Assessment II (ACHA-NCHA II) Reference Group. Latent class analysis (LCA) was conducted based on participants' reports of past-year psychiatric symptoms. The reported SHS were examined by the latent class of students and their race/ethnicity. RESULTS: LCA identified two latent classes: The Emotional Exhaustion (EE) class and the Multiple Psychiatric Symptoms (MPS) class. Within the EE class, Black students were at the greatest risk for exhibiting suicide intent and attempted suicide. Within the MPS class, Multiracial students showed the highest odds of self-harm and suicidal intent, and Black students showed the highest odds of attempted suicide, followed by Asians/Pacific Islanders. LIMITATIONS: The findings were based on a cross-sectional dataset that did not inform the temporal relations of psychiatric symptoms and SHS. CONCLUSIONS: Utilizing a person-centered latent class analysis, this study revealed that Black students were of the greatest concern for SHS among those who reported only common symptoms of emotional exhaustion. The findings highlight the importance of developing preventive and remedial models that address unique risk factors and mental health needs for various subgroups of U.S. college population.
PURPOSE: This study aimed at describing self-harm and suicidality (SHS) in relation to unobserved heterogeneous groups of college students based on their psychiatric symptoms. SHS of each latent class were examined by race/ethnicity to inform risk factors relevant to subgroups of U.S. college population. METHODS: The participants (N = 42,779) were drawn from the Spring 2017 American College Health Association-National College Health Assessment II (ACHA-NCHA II) Reference Group. Latent class analysis (LCA) was conducted based on participants' reports of past-year psychiatric symptoms. The reported SHS were examined by the latent class of students and their race/ethnicity. RESULTS: LCA identified two latent classes: The Emotional Exhaustion (EE) class and the Multiple Psychiatric Symptoms (MPS) class. Within the EE class, Black students were at the greatest risk for exhibiting suicide intent and attempted suicide. Within the MPS class, Multiracial students showed the highest odds of self-harm and suicidal intent, and Black students showed the highest odds of attempted suicide, followed by Asians/Pacific Islanders. LIMITATIONS: The findings were based on a cross-sectional dataset that did not inform the temporal relations of psychiatric symptoms and SHS. CONCLUSIONS: Utilizing a person-centered latent class analysis, this study revealed that Black students were of the greatest concern for SHS among those who reported only common symptoms of emotional exhaustion. The findings highlight the importance of developing preventive and remedial models that address unique risk factors and mental health needs for various subgroups of U.S. college population.
Authors: Randy P Auerbach; Philippe Mortier; Ronny Bruffaerts; Jordi Alonso; Corina Benjet; Pim Cuijpers; Koen Demyttenaere; David D Ebert; Jennifer Greif Green; Penelope Hasking; Elaine Murray; Matthew K Nock; Stephanie Pinder-Amaker; Nancy A Sampson; Dan J Stein; Gemma Vilagut; Alan M Zaslavsky; Ronald C Kessler Journal: J Abnorm Psychol Date: 2018-09-13
Authors: Matthew K Nock; Guilherme Borges; Evelyn J Bromet; Jordi Alonso; Matthias Angermeyer; Annette Beautrais; Ronny Bruffaerts; Wai Tat Chiu; Giovanni de Girolamo; Semyon Gluzman; Ron de Graaf; Oye Gureje; Josep Maria Haro; Yueqin Huang; Elie Karam; Ronald C Kessler; Jean Pierre Lepine; Daphna Levinson; Maria Elena Medina-Mora; Yutaka Ono; José Posada-Villa; David Williams Journal: Br J Psychiatry Date: 2008-02 Impact factor: 9.319