@article{ref1,
title="Inferring sleep disturbance from text messages of suicide attempt survivors: a pilot study",
journal="Suicide and life-threatening behavior",
year="2022",
author="Ladis, Ilana and Valladares, Tara L. and Coppersmith, Daniel D. L. and Glenn, Jeffrey J. and Nobles, Alicia L. and Barnes, Laura E. and Teachman, Bethany A.",
volume="ePub",
number="ePub",
pages="ePub-ePub",
abstract="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<p /> <p>Language: en</p>",
language="en",
issn="0363-0234",
doi="10.1111/sltb.12920",
url="http://dx.doi.org/10.1111/sltb.12920"
}