Dynamic impacts of sleep disruption on ecologically assessed affective, behavioral, and cognitive risk factors for...

Diminished sleep health is a known warning sign for suicide. However, the contexts and time periods within which diminished sleep elevates suicide risk are unknown. Modeling the complex process by which diminished sleep health impacts daily functioning and establishing proximal suicide risk factors can aid in addressing these important knowledge gaps. This paper describes the methods and research protocol for a study that aims to elucidate the nature of the sleep-suicide relationship and develop an integrated model of proximal suicide risk. Participants will be 200 adults at high risk for suicide recruited from a psychiatric inpatient unit. They will complete a baseline assessment including clinical interviews and self-reports, and laboratory tasks with concurrent electroencephalography to phenotype-relevant risk processes. This baseline assessment will be followed by 4 weeks of ecological momentary assessment and digital phenotyping, coupled with assessments of sleep via a wearable used to generate a minute-by-minute metric of cognitive effectiveness using the Sleep Activity, Fatigue, and Task Effectiveness algorithm index. Follow-up assessments will be conducted 1-, 3-, and 6-months post-hospital discharge to determine how the developed proximal model of risk prospectively predicts suicidal ideation and behavior. The results of this study have the potential to greatly enhance understanding of how and why diminished sleep health is related to real-world fluctuations in suicide risk, knowledge that can inform efforts to better prevent, and intervene to reduce suicides.