Harvard Study Predicts 75% of Suicide Attempts a Week in Advance

New Prediction Capabilities

A multiyear study conducted by Matthew K. Nock's lab at Harvard successfully predicted 75% of suicide attempts and 87% of suicide-related events within one week of their occurrence. This research involved over 600 high-risk adults and adolescents, marking a notable improvement in the short-term prediction of suicidal behavior.

Advancement in Suicide Research

These findings are significant in a field where previous prediction models typically focused on longer timeframes, such as six months to a decade, and relied heavily on self-reported data. The ability to predict risk within a week could allow for more timely interventions and support for individuals at risk.

Context of Suicide Statistics

Suicide is the second-leading cause of death for Americans aged 10 to 34. Despite 50% of individuals who died by suicide having seen a clinician in their final month, current clinical care systems, often based on scheduled appointments, struggle to detect the fluctuating nature of suicidal thoughts. This new predictive capability aims to address that gap.

Methodology and Future Implications

Nock, a recipient of a MacArthur Foundation 'genius' grant, previously pioneered real-time surveying techniques to demonstrate the moment-to-moment fluctuation of suicidal thoughts. This new study builds on that understanding, aiming to better measure and predict increases in risk to provide more effective prevention and support. The full findings are forthcoming in the October issue of the Journal of Psychopathology and Clinical Science.