Manyleadingcausesofdeathhavedeclinedsignificantlyoverthepast100years(e.g.,tuberculosis, pneumonia/influenza,gastritis);?however,thesuiciderateisvirtuallyidenticaltowhatitwas100years ago. Lack of progress in the prevention of suicide is due in large part to the limited understanding of thisproblem.Suicidalthoughtsandbehaviors(STBs),likeotherbehaviorproblems(e.g.,alcoholuse, substanceuse,eatingdisorders),rarelyoccurintheresearchlabwheretheycanbecarefullyprobed and cannot be ethically induced in the lab. As a result, experts lack a firm understanding of the fundamental properties of STBs, and of how, why, and when they unfold in nature. The purpose of this study is to address this enormous gap by using newly developed smartphone and wearable biosensortechnologiestoconductanintensivelongitudinalstudythatwilladvancetheunderstanding andpredictionofSTBsandrelatedbehaviors.Thisstudywillmonitor600people(300adultsand300 adolescents) at elevated risk of STBs (i.e., those presenting to a psychiatric hospital with suicide ideationand/orarecentsuicideattempt)duringahighrisktimeperiod(i.e.,post-hospitalization).
The first aim of this study is to identify digital phenotypes of STBs using data collected both actively/subjectively using repeated smartphone surveys and passively/objectively using continuous data from smartphones (e.g., GPS, accelerometer, communications data) and wearable biosensors (e.g., electrodermal activity, accelerometer).
The second aim i s to map the dynamic trajectories of STBs over time.
The third aim i s to identify short-term predictors of STBs during the 6 months post- hospitaldischarge.Ongoingresearchbytheproposedteamdemonstratesthefeasibilityof:recruiting andretainingtheproposedsamples,intensivelymonitoringthemovertimeusingdigitaldevices,and using analyses of these rich data streams to make discoveries about how STBs and related behaviorsunfoldinnature.Thedatacollectedinthisstudywillprovidearichdatasourcethatwillbe used by our research team and collaborative researchers to advance the understanding, prediction, andultimatepreventionofSTBsandrelatedoutcomes.

Public Health Relevance

SuicideisamongtheleadingcausesofdeathintheUS(thesecondleadingcauseofdeathamongthose15- 34years).Unfortunately,scientistsandcliniciansarenotyetabletoidentifywhichpeoplewithsuicidal thoughtsareatgreatestriskforsuicidalbehavior,orwhenandwhytheyareatelevatedrisk.Thisstudy directlyaddressesthesegapsinourunderstandingandhasthepotentialtosignificantlyimprovethe understanding,prediction,andpreventionofsuicidalbehaviorsandrelatedhealthoutcomes.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01MH116928-02
Application #
9773226
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Murphy, Eric Rousseau
Project Start
2018-09-01
Project End
2022-07-31
Budget Start
2019-08-01
Budget End
2020-07-31
Support Year
2
Fiscal Year
2019
Total Cost
Indirect Cost
Name
Harvard University
Department
Psychology
Type
Schools of Arts and Sciences
DUNS #
082359691
City
Cambridge
State
MA
Country
United States
Zip Code
02138