More than 800 000 people commit suicide every year. This calls for better predictors
and prevention. Yet, the temporal dynamics of suicidal ideation make this challenging.
A solution might be ecological momentary assessments (EMA). The real-time, real-world
data collection might capture the temporal dynamics and help identify predictors.
We tested the feasibility of EMA in a high-risk population and examined the predictive
value of sleep quality, a promising predictor and modifiable risk factor.
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© 2020 Published by Elsevier Inc.
