Suicidality associated with decreased help-seeking attitudes in college students: Implications for identifying and treating at-risk students.

Suicide is a leading cause of death in college-aged youth, yet only half of all college students report engaging in professional mental health help-seeking. We examined how the various aspects of young adults' suicidality were associated with their openness to pursue professional mental health care in the future (i.e., "future help-seeking intentions"). Multilevel binary logistic regressions were tested in a sample of 24,446 U.S. college undergraduates with suicidality. The moderating effect of past service utilization on future help-seeking intentions was also tested. Strikingly, young people reporting past-year suicidal ideation, past-year suicidal attempts, and self-reported likelihood of a future suicide attempt demonstrated decreased likelihood of future help-seeking intentions, while those reporting prior diagnosis of a mental health condition and/or past service utilization demonstrated an increased likelihood. Past service utilization also significantly moderated the effect of suicide disclosure, such that youth reporting prior disclosure and prior professional treatment-seeking demonstrated greater odds of future help-seeking intentions relative to those who had disclosed suicidality but never utilized professional services. In order to mitigate the mental health crisis facing youth, further exploration is necessary to understand why students with suicidality do not report openness to seek help. It is also imperative to develop and implement novel strategies to identify at-risk students, understand and alleviate relevant barriers to treatment, and promote positive help-seeking attitudes and behaviors.

Finding Our Lanes: A Roadmap for Collaboration Between Academic Medical Centers and Behavioral Telehealth Companies.

ABSTRACT: Outpatient mental health care in the United States is delivered by an uncoordinated patchwork of public and private entities that struggle to effectively differentiate the care they provide. The COVID-19 pandemic catalyzed transformative changes in this space, including rapid adoption of telehealth and escalating private sector investment to provide services for individuals wishing to obtain care through insurance. In this article, we briefly review the current landscape of ambulatory mental health care. Utilizing Kissick's Iron Triangle model of health care delivery, we compare the relative strengths and weaknesses of academic medical centers and the growing private sector, entities potentially positioned to synergistically foster a mental health ecosystem with improved quality, access, and cost-effectiveness. A roadmap for strategic integration is presented for how academic centers-institutions frequently overwhelmed by patient volume-might leverage partnerships with a private sector eager to utilize novel technology to improve access, demonstrate data-driven outcomes, and advocate for improved reimbursement from payers. We also assess the potential risks and pitfalls of such collaboration. In return, academic institutions can refocus on their strengths, including research, systems knowledge, quality-improvement initiatives, education and training, and specialty clinical care.

Microaggression and discrimination exposure on young adult anxiety, depression, and sleep.

BACKGROUND: Increasing research examines social determinants of health, including structural oppression and discrimination. Microaggression - subtle/ambiguous slights against one's marginalized identity - is distinct from discrimination, which typically presents as overt and hostile. The current study investigated the comparative effects of each exposure on young adult anxiety, depression, and sleep. Race-stratified analyses investigated patterns across groups. METHODS: Young adults (N = 48,606) completed the Spring 2022 American College Health Association-National College Health Assessment III. Logistic regressions tested odds of anxiety symptoms, depressive symptoms, and sleep disturbance in association with microaggression and discrimination exposure. RESULTS: Microaggression and discrimination equally predicted increased likelihood of anxiety symptoms (ORMicro = 1.42, ORDiscrim = 1.46). Discrimination more strongly predicted depressive symptoms (OR = 1.59) and sleep disturbance (OR = 1.54) than did microaggression (ORDepress = 1.24, ORSleep = 1.27). Race-stratified analyses indicated stronger associations between the each exposure and poor mental health in Whites than Asian American, Black/African American, and Hispanic or Latino/a/x respondents. LIMITATIONS: Microaggression and discrimination exposure were each assessed using a single item. The outcome measures were not assessed using validated measures of anxiety, depression, and sleep (e.g., GAD-7, MOS-SS); thus results should be interpreted with caution. Analyses were cross-sectional hindering our ability to make causal inferences. CONCLUSIONS: The findings provide preliminary evidence that microaggression and discrimination exposure operate on health in distinct ways. Racially marginalized individuals may demonstrate a blunted stress response relative to Whites. Treatment approaches must be tailored to the particular exposures facing affected individuals to maximize benefits.