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Citation
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Ladis I, Valladares TL, Coppersmith DDL, Glenn JJ, Nobles AL, Barnes LE, Teachman BA. Suicide Life Threat. Behav. 2022; ePub(ePub): ePub. |
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Abstract
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OBJECTIVE: Identifying digital markers of sleep disturbance-- a known suicide risk factor-- may aid in the detection of imminent suicide risk. This study exam-ined sleep-related communication and texting patterns in personal text messages (N= 86,705) of suicide attempt survivors.
Method: Twenty- six participants provided dates of past suicide attempts and 2- week periods of positive mood, depressed mood, or suicidal ideation. Linguistic Inquiry Word Count was used to identify sleep- related texts via a custom dictionary. Mixed effect models were fitted to test the association between suicide/mood episode type (e.g., attempt versus ideation) and three outcomes: likelihood of a text including sleep- related content, nightly count of texts sent from midnight to 5:00 AM, and sum of unique hour bins from midnight to 5:00 AM with outgoing texts.
Results: Analyses with a sleep dictionary that was manually revised to be more accurate (but not the original unedited dictionary) showed sleep- related communication was more likely during depressed mood episodes than positive mood episodes. Otherwise, there were no significant differences in sleep- related com-munication or objective texting patterns across episode type.
Conclusions: Although we did not detect differences in sleep-related communication tied to suicidal thoughts or behaviors, sleep-related communication may differ as a function of within-person mood level.
KEYWORDS: depression, insomnia, risk- assessment, smartphones, suicide
Language: en |