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In this webinar, presenters will discuss risk factors that Mexican-origin individuals may face, including discrimination and acculturation stress. They will also discuss research that examines how factors such as familism, ethnic pride, and temperament can help promote resilience among people of Mexican origin.

NIMH’s final 75th Anniversary symposium brings together trailblazers in the scientific community to discuss diverse and visionary perspectives on the future of mental health research.

This webinar brings together experts in areas that include passive and active data collection methods, the measurement of social contexts related to suicide risk, and the methodological aspects of Just-in-Time Adaptive Interventions (JITAI).

This webinar focuses on the complex communication between the nervous and immune systems and how this interaction impacts brain function during development, adulthood, and disease.

This is the third roundtable of NIH’s Women’s Health Roundtable Series, which focuses on important women’s health topics, such as maternal mental health, as part of the White House Women’s Health Research Initiative. The roundtable is also featured in NIMH’s Office of Disparities Research and Workforce Diversity Webinar Series, which focuses on mental health...

This webinar will present a conceptual framework for investigating the impact of cultural factors on mental health within American Indian communities. It will also present emerging findings from community-engaged research in this field.

In recognition of National Suicide Prevention Month in September, the National Institute of Mental Health (NIMH) and the Substance Abuse and Mental Health Services Administration (SAMHSA) are hosting a livestream event on suicide prevention in health care settings.

In this webinar, Dielle Lundberg, M.P.H., and Jessica Chen, Ph.D., will introduce a conceptual framework outlining pathways through which structural ableism in public health and health care may contribute to health inequities for “people who are disabled, neurodivergent, chronically ill, mad, and/or living with mental illness” (Lundberg & Chen, 2023).

NIMH-supported research suggests AI tools built on smartphone data may struggle to predict clinical outcomes like depression in large and diverse groups of people.

Here is a video to help you get to your appointment on the NIH campus in Bethesda, Maryland.