Leslie Adams
Stanford University, CA·Public Health & Epidemiology·Early-career
Suicide is the third leading cause of death among Black youth aged 12 to 18, and suicidal behaviors in this group are rising fast. Spotting risk in time is hard.
- Fields
Public Health & Epidemiology
Psychology
Medicine & Clinical Research
- Topics
suicide prevention
suicide risk
Black youth
- Grants
- 1 known grant, through Aug 2027
What they work on
- Modify an existing smartphone digital phenotyping protocol, combining ecological momentary assessment surveys with passive GPS and accelerometer data, so it is appropriate for Black youth.
- Run a pilot digital phenotyping study in a psychiatric sample of re-contacted and newly recruited Black youth to test the feasibility and acceptability of real-time suicide risk assessment.
- Capture everyday stressors as they naturally occur to examine them as near-term triggers of suicide risk alongside known risk factors in Black adolescents.
More about the research
Little research has looked at how everyday stressors, as they happen, push risk up or interact with known risk factors in Black adolescents. This career-development project aims to build tools that capture these moment-to-moment influences.
Why it matters
Black adolescents face rising suicide rates, but existing tools rarely catch risk as it shifts from day to day. A smartphone protocol that tracks everyday stressors as they occur could help clinicians and researchers spot suicide risk sooner. This could support more timely prevention strategies for these youth.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
Closest labs
Madhukar Trivedi
University of Texas Southwestern Medical Center, TX·Medicine & Clinical Research
Investigate how the amount of social media use and positive or negative online experiences affect depression, anxiety and suicidal ideation trajectories over six months in 100 at-risk Texas youth.
Melvin McInnis
University of Michigan, MI·Medicine & Clinical Research
Test whether average levels of emotional valence and arousal, measured by phone self-ratings (EMA) and by the PRIORI speech algorithm, predict self-reported and clinician-rated mood severity in 160 adults with bipolar disorder.
Kevin Kuehn
University of California-San Diego, CA·Psychology·Early-career
Refine the personalized suicide prevention intervention PRECISE using a user-centered design approach and a case series with high-risk adults.
The school
Stanford University: 87 labs on PI Pages, $1.6B a year on research, 739 research doctorates a year.
Reach out
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