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Connor Iapoce is an associate editor for HCPLive and joined the MJH Life Sciences team in April 2021. He graduated from The College of New Jersey with a degree in Journalism and Professional Writing. He enjoys listening to records, going to concerts, and playing with his cat Squish. You can reach him at firstname.lastname@example.org.
Individuals were more likely to communicate about sleep during depressed mood episodes.
Although a recent proof-of-concept study did not detect significant differences in sleep-related communication tied to suicidal thoughts or behaviors, study investigators suggest that communication may differ as a function of mood level.
The data indicate that Individuals with suicide attempt history were more likely to communicate about sleep when experiencing a 2-week period of depressed mood, compared with a 2-week period of positive mood.
“That this difference emerged only following the refinement of the sleep dictionary underscores the importance of thoroughly validating tools used to identify potential markers of mood-state fluctuation in text-based documents (e.g., clinical notes or health records),” wrote study author Ilana Ladis, Department of Psychology, University of Virginia.
Longitudinal studies have aimed to determine risk factors for suicide over several months or years, but the gained knowledge often remains inapplicable to identify warning signs on where someone might attempt suicide in a shorter timeline.
Based on previous research, there is some evidence that sleep problems may be considered prospective, near-term risk factors for suicidal ideation, but there may be ethical challenges in examining how sleep disturbances manifest leading up to a suicide attempt.
The present analysis examined sleep-related communication and texting patterns in personal text messages (n = 86,705) of young adult, suicide attempt survivors. Participants in the study provided dates of past suicide attempts, as well as 2-week periods of suicidal ideation, depressed mood, and positive mood.
Investigators fitted mixed effects models to test the association between suicide/mood episode type and 3 outcomes: likelihood of a text including sleep-related content, nightly count of texts sent from midnight to 5:00AM, and sum of more unique hours between midnight and 5:00am with outgoing texts.
From 26 participants who provided data, a total of 66 attempt episodes, 68 ideation episodes, 78 depressed mood episodes, and 81 positive mood episodes were reported.
From the 86,705 text messages included in the analyses, 0.71% contained a sleep-related word, phrase, or emoji. Participants sent up to 50 sleep-related texts with nearly 18% sent between midnight and 5:00AM.
When using a revised dictionary in the analyses, data revealed the likelihood of a text being sleep-related was significantly greater during depressed mood episodes, compared with positive mood episodes. However, no other tested episode type contrasts were considered significant, according to investigators.
Other models tested episode type as a predictor of text count and controlled for both season and time of week. Both non-summer months and weekend nights each remained significant predictors of text count. However, in contrast to hypotheses, there were no significant differences in text-message count between midnight and 5:00AM across episode type.
Further, season and time of week remain significant predictors of the number of unique nightly hour bins. Once more, in contrast to hypotheses, there were no significant differences in the number of unique nightly hour bins between midnight and 5:00AM across episode types.
“Though additional research is needed, the method used here could potentially be scaled up and applied in larger, public channels to infer mood-state fluctuation, including among individuals at-risk for suicide,” Ladis concluded.
The study, “Inferring sleep disturbance from text message of suicide attempt survivors: A pilot study,” was published in Suicide and Life-Threatening Behavior.