Citation

Martínez-Alés G, Keyes KM. Curr. Psychiatry Rep. 2019; 21(10): e104.

Affiliation

Columbia Mailman School of Public Health, 722W 168th St, Suite 1030, New York, NY, 10032, USA.

Copyright

(Copyright © 2019, Holtzbrinck Springer Nature Publishing Group)

DOI

10.1007/s11920-019-1080-6

PMID

31522256

Abstract

PURPOSE OF REVIEW: To examine current trends in suicide and self-injury in the USA, as well as potential contributors to their change over time, and to reflect on innovations in prevention and intervention that can guide policies and programs to reduce the burden of suicide and self-injury in the USA. RECENT FINDINGS: Suicide and non-fatal self-injury are on the rise in the USA. Reasons for such trends over time remain speculative, although they seem linked to coincident increases in mood disorders and drug use and overdose. Promising innovative prevention and intervention programs that engage new technologies, such as machine learning-derived prediction tools and computerized ecologic momentary assessments, are currently in development and require additional evidence. Recent increases in fatal and non-fatal self-harm in the USA raise questions about the causes, interventions, and preventive measures that should be taken. Most innovative prevention efforts target individuals seeking to improve risk prediction and access to evidence-based care. However, as Durkheim pointed out over 100 years ago, suicide rates vary enormously between societal groups, suggesting that certain causal factors of suicide act and, hence, should be targeted at an ecological level. In the next generation of suicide research, it is critical to examine factors beyond the proximal and clinical to allow for a reimagining of prevention that is life course and socially focused.

Language: en

Keywords

Brief contact interventions; Ecologic momentary assessment; Machine learning; Multilevel epidemiology; Suicide prediction; Suicide prevention