Compounding Effects of Traumatic Brain Injury, Military Status, and Other Factors on Pittsburgh Sleep Quality Index: A Meta-analysis.

INTRODUCTION: Traumatic brain injury (TBI) or concussion is a known risk factor for multiple adverse health outcomes, including disturbed sleep. Although prior studies show adverse effects of TBI on sleep quality, its compounding effect with other factors on sleep is unknown. This meta-analysis aimed to quantify the effects of TBI on subjective sleep quality in the context of military status and other demographic factors. MATERIALS AND METHODS: A programmatic search of PubMed database from inception to June 2020 was conducted to identify studies that compared subjective sleep quality measured using Pittsburgh Sleep Quality Index (PSQI) in individuals with TBI relative to a control group. The meta-analysis included group-wise standard mean difference (SMD) and 95% CI. Pooled means and SDs were obtained for TBI and non-TBI groups with and without military service, and meta-regression was conducted to test for group effects. Exploratory analysis was performed to test for the effect of TBI, non-head injury, military status, sex, and age on sleep quality across studies. RESULTS: Twenty-six articles were included, resulting in a combined total of 5,366 individuals (2,387 TBI and 2,979 controls). Overall, individuals with TBI self-reported poorer sleep quality compared to controls (SMD = 0.63, 95% CI: 0.45 to 0.80). Subgroup analysis revealed differences in the overall effect of TBI on PSQI, with a large effect observed in the civilian subgroup (SMD: 0.80, 95% CI: 0.57 to 1.03) and a medium effect in the civilian subgroup with orthopedic injuries (SMD: 0.40, 95% CI: 0.13 to 0.65) and military/veteran subgroup (SMD: 0.43, 95% CI: 0.14 to 0.71). Exploratory analysis revealed that age and history of military service significantly impacted global PSQI scores. CONCLUSIONS: Poor sleep quality in TBI cohorts may be due to the influence of multiple factors. Military/veteran samples had poorer sleep quality compared to civilians even in the absence of TBI, possibly reflecting unique stressors associated with prior military experiences and the sequelae of these stressors or other physical and/or psychological traumas that combine to heightened vulnerability. These findings suggest that military service members and veterans with TBI are particularly at a higher risk of poor sleep and its associated adverse health outcomes. Additional research is needed to identify potential exposures that may further heighten vulnerability toward poorer sleep quality in those with TBI across both civilian and military/veteran populations.

Attentional bias and the Suicide Status Form: Behavioral perseveration of written responses.

Given the vast public health problem of suicide, the need for more effective assessment of suicidal risk is clear. The major approaches applied to this challenge include various direct approaches (e.g., suicide-focused interviews) and indirect approaches (e.g., implicit methodologies or "occult" assessments) that tend to assess an attentional bias for suicidal risk, the latter of which the present investigation sought to study. Using the Suicide Status Form (SSF)-the central multi-purpose tool that is used within a collaborative assessment process with suicidal patients who are engaged in the "Collaborative Assessment and Management of Suicidality" (CAMS; Jobes, 2016)-we aimed to investigate the influence of perseverative, hand-written content responses pertaining to potential suicidal risk. Specifically, we explored whether repeating certain topic content might reflect a perseverative response style; we thus compared written content results of first session SSFs taken from a sample of suicidal U.S. Army Soldiers (Study 1) and a sample of suicidal college students (Study 2). Across the two studies, patients who repeated the same content ("1-Topic Repeaters") had significantly higher ratings related to suicidal ideation in comparison to those with more heterogeneous response styles. This replicated finding perhaps reveals a form of behavioral perseveration that is potentially related to increased suicidal risk with possible implications for successful treatment.