Troubled Thoughts Before Bed: How Pre-Sleep Arousal and Resilience Shape Depression Risk

Suicide remains one of the most pressing public health challenges worldwide, and researchers have long sought to understand the psychological mechanisms that transform fleeting dark thoughts into lasting vulnerability to depression. A new study published in Current Psychology by Ömer Faruk Akbulut of Afyonkarahisar Health Sciences University and colleagues offers a fresh perspective on this question by tracing how two seemingly different factors — the mental and physical restlessness people experience as they try to fall asleep, and their capacity to bounce back from adversity — may connect maladaptive suicidal thinking to a heightened sensitivity to depressive symptoms over time.

The research team focused on a construct known as suicide cognitions: deeply embedded, maladaptive thought patterns such as perceived burdensomeness, thwarted belongingness, and the belief that death is a solution to one’s problems. Unlike suicidal ideation, which refers to the momentary presence of suicidal thoughts, suicide cognitions represent the underlying belief architecture that can sustain risk even when acute thoughts subside. The researchers asked whether these cognitions might indirectly set the stage for depression sensitivity — a tendency to interpret everyday negative experiences as evidence of personal failure and impending depressive episodes — through their effects on nighttime arousal and resilience.

To test this, the team recruited university students in Türkiye and collected data at two time points separated by a five-month interval. After matching participants across both waves, the final sample comprised 280 Turkish university students with a mean age of 22.35 years and a standard deviation of 3.88. Each participant completed four validated instruments: the Brief Suicide Cognitions Scale, the Depression Sensitivity Index, the Pre-Sleep Arousal Scale, and the Brief Resilience Scale. The Pre-Sleep Arousal Scale, originally developed by Nicassio and colleagues in 1985, captures both somatic arousal — a racing heart, tense muscles, shallow breathing — and cognitive arousal, the intrusive, spiraling thoughts that keep people awake long after the lights go out.

Methodologically, the study employed structural equation modeling to estimate two separate two-wave cross-lagged panel models, or CLPMs. This statistical framework is particularly valuable for longitudinal research because it allows investigators to examine whether a variable measured at the first time point predicts change in another variable at the second time point, above and beyond the stable, baseline level of the outcome itself. In this study, the models controlled for baseline levels of all study variables as well as participants’ age and gender, sharpening the ability to detect genuine prospective associations rather than mere stability in traits over time.

The results revealed a striking chain of prospective relationships. Students who reported higher suicide cognitions at the first wave showed significantly higher pre-sleep arousal and lower resilience five months later, even after accounting for their initial levels of arousal and resilience. In turn, students with higher pre-sleep arousal and lower resilience at the first wave reported greater depression sensitivity at the second wave, controlling for their baseline depression sensitivity. In other words, the data suggested a pathway in which maladaptive suicidal beliefs appear to fuel nighttime physiological and cognitive agitation while simultaneously eroding the psychological resources that normally buffer against stress.

Perhaps the most intriguing finding was what the models did not show. The direct associations between suicide cognitions at the first wave and depression sensitivity at the second wave were not statistically significant in either cross-lagged panel model. Yet when the researchers used bootstrapping — a resampling technique that provides robust estimates of indirect effects — the indirect pathways through both pre-sleep arousal and resilience were statistically significant. This pattern suggests that suicide cognitions may not erode emotional resilience to depression directly; instead, their influence appears to travel through the body’s nighttime state and through the individual’s capacity to recover from setbacks.

These findings resonate with a broader literature linking sleep disturbances to suicide risk. Prior research has shown that sleep problems can outperform depression and hopelessness as predictors of suicidal ideation and behavior in young adults, and cognitive models of insomnia, such as Harvey’s influential 2002 framework, describe how nighttime arousal perpetuates itself through worry and monitoring of sleep-related threats. The new study extends this work by positioning pre-sleep arousal as a prospective bridge between suicidal belief systems and vulnerability to depression, rather than merely a symptom that accompanies both conditions. It also aligns with evidence that rumination and repetitive negative thinking are associated with suicidal ideation across depressive disorders.

The role of resilience in the models is equally consequential. Resilience, as measured by the Brief Resilience Scale, reflects the ability to bounce back from stress and adversity, and a growing body of research links it to lower levels of psychological distress, depression, and suicidal ideation. In the present study, higher suicide cognitions predicted lower resilience over time, and lower resilience in turn predicted greater depression sensitivity. This suggests that interventions designed to strengthen resilience — from cognitive-behavioral skills training to self-compassion and mindfulness-based approaches — might interrupt the pathway by which suicidal thinking deepens vulnerability to depressive episodes in young adults.

The study’s authors are careful to frame their results as preliminary and indicative rather than definitive. The sample consisted of university students in a single country, and the two-wave design, while stronger than a cross-sectional snapshot, cannot fully establish causal direction or rule out unmeasured confounding variables. The five-month interval between assessments is meaningful but may miss faster-moving dynamics, and the study was not pre-registered. Nonetheless, the use of matched longitudinal data, validated Turkish-language instruments, and rigorous structural equation modeling with bootstrapped indirect effects lends considerable credibility to the pattern of findings.

The practical implications are significant for campus mental health services and clinicians working with young adults. Screening for suicide cognitions may identify students at risk not only for suicidal behavior but also for a slower-burning vulnerability to depression that operates through sleep and resilience. Sleep-focused interventions that reduce pre-sleep cognitive and somatic arousal — including relaxation training, stimulus control, and mindfulness practices — could serve as accessible entry points for prevention, while resilience-building programs may offer a complementary protective buffer. As the authors conclude, their findings provide preliminary evidence about the cognitive, physiological, and emotional processes that may be associated with vulnerability to depression in university students who experience suicide cognitions, pointing toward integrated approaches that treat disturbed sleep and diminished resilience as modifiable targets in suicide prevention.

Subject of Research: Prospective associations among suicide cognitions, pre-sleep arousal, resilience, and depression sensitivity in university students

Article Title: Pre-sleep arousal and resilience in suicide cognitions and depression sensitivity: indications from two-wave cross-lagged panel models

Article References: Akbulut, Ö. F., Kütük, H., Akyıl, Y., Okur, S., & Erdinç, B. (2026). Pre-sleep arousal and resilience in suicide cognitions and depression sensitivity: indications from two-wave cross-lagged panel models. Current Psychology, 45(19), Article 1560. https://doi.org/10.1007/s12144-026-10127-3

Image Credits: AI Generated

DOI: 10.1007/s12144-026-10127-3

Keywords: suicide cognitions, depression sensitivity, pre-sleep arousal, resilience, cross-lagged panel model, university students, longitudinal study, sleep, mental health, structural equation modeling, depression, suicide risk