Using Smartphone GPS Data to Detect the Risk of Adolescent Suicidal Thoughts and Behaviors

Advancements in smartphone technology afford unique opportunities to capture affective and behavioral dynamics that presage suicide risk. This case series study found that greater homestay obtained through smartphone GPS data over the course of a week, relative to one's own mean, was associated with greater odds of a suicidal event in the subsequent week. Although accuracy was modest, these findings offer a novel starting point for suicide prevention research, particularly as smartphone sensor data may have the capacity to identify who is at risk while also providing an opportunity to deliver clinical tools when that risk is greatest.

Authors

Institutions

Publication Details

Journal
JAMA Network Open
Published
2025-01-27
DOI
https://doi.org/10.1001/jamanetworkopen.2024.56429
Citations
4
Primary Topic
Suicide and Self-Harm Studies
Type
article
Field-Weighted Citation Impact
9.23
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Using Smartphone GPS Data to Detect the Risk of Adolescent Suicidal Thoughts and Behaviors

Jeffrey F. Cohn, Lauren S. Chernick, Ranqing Lan, Karla Joyce et al.
4 citations
JAMA Network Open
Suicide and Self-Harm Studies
9.23
article

Using Smartphone GPS Data to Detect the Risk of Adolescent Suicidal Thoughts and Behaviors

Jeffrey F. Cohn, Lauren S. Chernick, Ranqing Lan, Karla Joyce, Lauren E. Kahn, Giovanna Porta, Ashley Blanchard, Katherine Durham, Paul Alexander Bloom, Ryan Crowley, David Pagliaccio, Julia Greenblatt, Nicholas B. Allen, Randy P. Auerbach, Alma Bitran, Hanga Galfalvy, Louis–Philippe Morency, David A. Brent, Trinity Tse, Peter S. Dayan
article en
4 citations

Abstract

Advancements in smartphone technology afford unique opportunities to capture affective and behavioral dynamics that presage suicide risk. This case series study found that greater homestay obtained through smartphone GPS data over the course of a week, relative to one's own mean, was associated with greater odds of a suicidal event in the subsequent week. Although accuracy was modest, these findings offer a novel starting point for suicide prevention research, particularly as smartphone sensor data may have the capacity to identify who is at risk while also providing an opportunity to deliver clinical tools when that risk is greatest.

JAMA Network OpenVol. 8(1)
University of Pittsburgh (US), University of Oregon (US), University of Pittsburgh Medical Center (US), New York State Psychiatric Institute, Carnegie Mellon University (US), Columbia University (US)
Good health and well-being
Openalex Percentile: Top 3%
Suicide and Self-Harm Studies
9.23
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.