Sleep quality among U.S. military veterans with PTSD: a factor analysis and structural model of symptoms

Correlates of cannabis use in a sample of mental health treatment-seeking Canadian armed forces members and veterans

OBJECTIVE

Canadian Armed Forces (CAF) members and Veterans are more likely to experience mental health (MH) conditions, such as posttraumatic stress disorder (PTSD), than the general Canadian population. Previous research suggests that an increasing number of individuals are employing cannabis for MH symptom relief, despite a lack of robust evidence for its effectiveness in treating PTSD. This research aimed to: (1) describe the prevalence of current cannabis use among MH treatment-seeking CAF members and Veterans; and (2) estimate the association between current cannabis use and a number of sociodemographic, military, and MH-related characteristics.

METHOD

Using cross-sectional intake data from 415 CAF members and Veterans attending a specialized outpatient MH clinic in Ontario, Canada, between January 2018 and December 2020, we estimated the proportion of CAF members and Veterans who reported current cannabis use for either medical or recreational purposes. We used multivariable logistic regression to estimate adjusted odds ratios for a number of sociodemographic, military, and MH-related variables and current cannabis use.

RESULTS

Almost half of the study participants (n = 187; 45.1%) reported current cannabis use. Respondents who reported current cannabis use for medical purposes had a higher median daily dose than those who reported current cannabis use for recreational purposes. The multivariable logistic regression identified younger age, lower income, potentially hazardous alcohol use, and increased bodily pain as statistically significant correlates of current cannabis use among our MH treatment-seeking sample. PTSD severity, depressive severity, sleep quality, and suicide ideation were not statistically associated with current cannabis use.

CONCLUSIONS

Almost half of our treatment-seeking sample reported current cannabis use for medical or recreational purposes, emphasizing the importance of screening MH treatment-seeking military members and Veterans for cannabis use prior to commencing treatment. Future research building upon this study could explore the potential impact of cannabis use on MH outcomes.

Associations between health-related behaviors and self-reported cognitive symptoms in U.S. military personnel injured on deployment

Health behaviors may be core contributors to cognition and mental health following mild traumatic brain injury (TBI). The aims of the present study examined: (1) whether health behaviors including sleep duration, alcohol use, and physical activity differed in injured military personnel with and without deployment-related mild TBI history and (2) the relative contributions of health behaviors and deployment-related mild TBI history to self-reported cognitive, posttraumatic stress disorder (PTSD), and depressive symptoms. Participants included 3076 military personnel injured on deployment participating in the Wounded Warrior Recovery Project, an ongoing web-based study. Military personnel with deployment-related mild TBI history reported similar rates of physical activity and levels of alcohol problems as those without, but were less likely to report receiving the recommended duration of sleep. When adjusting for demographic and injury variables, all three health behaviors were associated with cognitive, PTSD, and depressive symptoms. Alcohol problems demonstrated significant but small effects across all outcomes measures (ηp2=.01) whereas physical activity was associated with slightly larger effects albeit still within the small range (ηp2=.02-0.04). Duration of sleep bordered a medium effect for cognitive symptoms (ηp2=.05) and was in the medium range for PTSD and depressive symptoms (ηp2=.06). Although deployment-related mild TBI history was significant in all models, effect sizes were small (ηp2=.01). Findings from the present study provide support that health behaviors have stronger effects with regard to cognitive, PTSD, and depressive symptoms compared to deployment-related mild TBI history in military personnel and, given their modifiable nature, may represent treatment targets in this population.

The influence of sleep on fear extinction in trauma-related disorders

In Posttraumatic Stress Disorder (PTSD), fear and anxiety become dysregulated following psychologically traumatic events. Regulation of fear and anxiety involves both high-level cognitive processes such as cognitive reattribution and low-level, partially automatic memory processes such as fear extinction, safety learning and habituation. These latter processes are believed to be deficient in PTSD. While insomnia and nightmares are characteristic symptoms of existing PTSD, abundant recent evidence suggests that sleep disruption prior to and acute sleep disturbance following traumatic events both can predispose an individual to develop PTSD. Sleep promotes consolidation in multiple memory systems and is believed to also do so for low-level emotion-regulatory memory processes. Consequently sleep disruption may contribute to the etiology of PTSD by interfering with consolidation in low-level emotion-regulatory memory systems. During the first weeks following a traumatic event, when in the course of everyday life resilient individuals begin to acquire and consolidate these low-level emotion-regulatory memories, those who will develop PTSD symptoms may fail to do so. This deficit may, in part, result from alterations of sleep that interfere with their consolidation, such as REM fragmentation, that have also been found to presage later PTSD symptoms. Here, sleep disruption in PTSD as well as fear extinction, safety learning and habituation and their known alterations in PTSD are first briefly reviewed. Then neural processes that occur during the early post-trauma period that might impede low-level emotion regulatory processes through alterations of sleep quality and physiology will be considered. Lastly, recent neuroimaging evidence from a fear conditioning and extinction paradigm in patient groups and their controls will be considered along with one possible neural process that may contribute to a vulnerability to PTSD following trauma.

Italian Validation of the Pittsburgh Sleep Quality Index (PSQI) in a Population of Healthy Children: A Cross Sectional Study

Background: Sleep disorders are one of the most discussed topics in scientific literature every year. Although they are one of the most studied topics, in both adults and children, knowledge of sleep disorders and their treatment is still not completely clear, and there is a need to deepen and analyze these disorders on a country-by-country basis. However, research in the Italian literature reveals a scarce quantity of tools to evaluate sleep quality in children. The Pittsburgh Sleep Quality Index (PSQI) is probably the most commonly used retrospective self-assessment questionnaire in the adult population. Purpose: We aimed to validate and analyze the psychometric characteristics of this tool in order to detect and explore the presence of sleep disorders in a healthy Italian population of children throughout the country. Methods: Individuals aged between 3 and 16 years without symptoms of insomnia were included in this study. The reliability and construct validity of the PSQI were assessed according to Consensus-Based Standards for the Selection of Health Measurement Instruments (COSMIN) guidelines. Results: We enrolled 222 individuals in this study (mean age 11 years). The PSQI demonstrated good internal consistency (Cronbach’s α = 0.719). Test–retest reliability was assessed on a randomized subgroup of the sample (n = 35). The PSQI showed good test–retest reliability with an intraclass correlation coefficient of 0.829 for the total score (95% confidence interval: 0.662–0.914). The Pearson correlation coefficient, used for construct validity, showed a statistically significant positive correlation with the Sleep Disturbance Scale for Children (SDSC). Conclusion: The PSQI proved to be a very reliable and valid tool to investigate sleep experiences in children.

Post-traumatic stress disorder prevalence and sleep quality in fire victims and rescue workers in southern Brazil: a cross-sectional study

OBJECTIVES

This survey was conducted to evaluate the prevalence of post-traumatic stress disorder (PTSD) and the sleep quality in victims and rescue team of the third deadliest nightclub fire in the world.

STUDY DESIGN

A cross-sectional study.

METHODS

Participants were victims and rescue workers exposed to a fire at a nightclub, which occurred in January 2013 in Southern Brazil. The Pittsburgh Sleep Quality Index (PSQI), composed of seven subjective sleep variables (including daytime dysfunction), and PTSD Checklist - Civilian version (PCL-C) were applied to all people who sought medical attention at the local reference center in the first year after the event. Comprehensive information was obtained concerning sociodemographic factors, health status, and sleep complaints.

RESULTS

A total of 370 individuals, 190 victims and 180 rescue workers, were included. Participants were 70% male, with an average age of 29 years. The prevalence of PTSD was 31.9%, ranging from 24.4% for rescue workers to 38.9% for victims. The prevalence of poor sleep quality was 65.9%, ranging from 56.1% for rescue workers to 75.3% for victims. Most of the participants with PTSD (91.5%) had PSQI scores >5 (poor sleepers), against 54.0% of the non-PTSD individuals. All seven PSQI subscores showed significant differences between PTSD and non-PTSD individuals, especially daytime dysfunction. Sex, shift work, previous psychiatric disease, and sleep quality remained associated with PTSD in adjusted models, with a prevalence ratio (95% CI) of 1.76 (1.28-2.43) in females, 1.73 (1.17-2.55) in shift workers, 1.36 (1.03-1.80) in individuals with psychiatric disease history, and 5.42 (2.55-11.52) in poor sleepers.

CONCLUSIONS

The presence of daytime dysfunction increased by at least tenfold the prevalence of PTSD in this sample. Considering that daytime dysfunction was shown to be strongly associated with PTSD, sleep-related issues should be addressed in the assessment of individuals exposed to traumatic events, both victims and rescuers. Factors like shift work and female sex were also associated with PTSD, especially among victims.

Reliability and Validity of the Czech Version of the Pittsburgh Sleep Quality Index in Patients with Sleep Disorders and Healthy Controls

Objectives

Psychometric properties of the Czech version of the Pittsburgh Sleep Quality Index (PSQI-CZ) have been evaluated only in patients with chronic insomnia, and thus, it is unclear whether PSQI-CZ is suitable for use in other clinical and nonclinical populations. This study was aimed at examining the validity and reliability of the PSQI-CZ and at assessing whether the unidimensional or multidimensional scoring of the instrument would be recommended.

Methods

A total of 524 adult subjects from the Czech population participated in the study. The internal consistency of PSQI was evaluated using Cronbach's alpha. The known-group validity was tested using the Kruskal-Wallis H test to verify the difference between patients with sleep disorders and healthy control sample. For testing the structural validity, a cross-validation approach was used with both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). For EFA, the maximum likelihood method with direct oblimin rotation and parallel analysis was used.

Results

The internal consistency of PSQI-CZ items was moderate (α = 0.75). Receiver operating characteristic (ROC) curve analysis showed high specificity (0.79) and moderate sensitivity (0.64) using an optimal cut-off score of 10. The EFA revealed a 3-factor structure with factors labelled as “sleep duration and efficiency,” “sleep disturbances and quality,” and “sleep latency.” The CFA showed that the emerged 3-factor model had a partly acceptable fit, which was better than other previously supported models.

Conclusions

A high cut-off score of 10 is recommended to define poor sleep quality. Given the inconsistency of structural analyses, alternative scoring was not recommended. However, the individual components in addition to a total score should be interpreted when assessing sleep quality. We recommend editing and verifying the PSQI-CZ translation.

Biopsychosocial factors and health outcomes associated with cannabis, opioids and benzodiazepines use among older veterans

Background: Older Veterans may experience injuries that result in chronic pain and mental health conditions. Given the increasing availability of medical cannabis, it is important to examine if it serves as a viable or undesirable form of care relative to existing approaches.Objectives: We compared cannabis, prescription opioids, and benzodiazepines use between older Veteran and non-Veterans, and identified outcomes of cannabis use among Veterans. Because of the physical and mental conditions experienced by older Veterans we expected Veterans to report higher use of opioids and benzodiazepines compared to non-Veterans.Methods: We collected surveys from individuals aged 60 and older enrolled in the Illinois Medical Cannabis Patient Program and conducted logistic regression to identify factors associated with cannabis, opioids and benzodiazepines use between Veterans (N = 514, 90.2% male) and Non-Veterans (N = 2758, 41.1% male) across biopsychosocial factors.Results: Both groups reported similar levels of pain, quality of life, social satisfaction, and sleep quality. Veterans were more likely to use cannabis for mental health conditions (p = <.001) while they reported lower use for pain-related conditions (p = <.001) than non-Veterans. Veterans were less likely to use opioids (p = .013) and benzodiazepines (p < .01) compared to non-Veterans. Veterans also reported desirable health outcomes of cannabis use for pain, sleep quality, health conditions, and quality of life.Conclusions: Our work provides insights for clinicians and policy makers to consider whether cannabis can be a viable option to reduce or replace opioid and benzodiazepine use by older Veterans with chronic physical and mental health conditions.

Trauma-Related Sleep Problems and Associated Health Outcomes in Police Officers: A Path Analysis

Police officers are frequently exposed to two different types of potentially traumatic events: one dealing with physical threats to self and the other involving the witnessing of harm to others. These different types of traumatic experiences are thought to produce various posttraumatic reactions. Furthermore, sleep problems are also reported as a hallmark of posttraumatic stress disorder. There is evidence, however, that sleep problems may mediate the relationship between posttraumatic stress disorder symptoms and health outcomes, especially physical health and depression. Previous research has shown this to be the case among officers from large urban agencies. The purpose of the present study was to test a model involving a pathway from trauma type and posttraumatic stress disorder symptoms to physical health and depression that is mediated by sleep quality in officers (N = 193) using data from small- to mid-size police agencies. Results revealed that sleep problems served as a mediator between posttraumatic stress disorder hyperarousal and avoidance symptoms and health outcomes, that the trauma types are related to different posttraumatic stress disorder symptoms, and that complicated relationships exist between the study variables. In addition, the results indicated that approximately 25% of our sample displayed probable partial posttraumatic stress disorder or probable full posttraumatic stress disorder, causing substantial functional impairment. Suggestions for improving officer health and performance in the field are provided. Specifically, it appears that interventions designed to address posttraumatic stress disorder hyperarousal symptoms related to personal life threat and the posttraumatic stress disorder avoidance symptoms related to the witnessing of human suffering may maximize officer sleep quality and ultimately overall wellness. In particular, mindfulness-based interventions are well suited for addressing these symptom clusters.

Sleep Quality Moderates the Relationship between Anxiety Sensitivity and PTSD Symptoms in Combat-exposed Veterans

Objective/Background: Posttraumatic stress disorder (PTSD) and related conditions (e.g., depression) are common in Operation Enduring Freedom, Operation Iraqi Freedom, and Operation New Dawn (OEF/OIF/OND) veterans. High anxiety sensitivity (AS), defined as fear of anxiety and anxiety-related consequences, is related to greater PTSD and depressive symptoms; however, few studies have identified possible modifiers of these associations. The current study examined the moderating role of sleep quality in the associations between AS and PTSD and depressive symptoms. Participants: Participants were 155 OEF/OIF/OND community veterans ages 21-40 (12.3% women). Methods: Participants completed a semi-structured clinical interview for DSM-IV PTSD symptoms (Clinician Administered PTSD Scale; CAPS) and self-report measures of anxiety sensitivity (Anxiety Sensitivity Index), sleep quality (Pittsburgh Sleep Quality Index global score; PSQI), and depressive symptoms (Beck Depression Inventory-II; BDI-II). Results: Results of hierarchical linear regression models indicated that the main effects of AS and global PSQI score were significantly associated with greater PTSD and depressive symptoms (both with sleep items removed), above and beyond the covariates of trauma load and military rank. Sleep quality moderated the relationship between AS and PTSD symptoms (but not depressive symptoms), such that greater AS was associated with greater PTSD symptoms for individuals with good sleep quality, but not poor sleep quality. Conclusions: Sleep quality and AS account for unique variance in PTSD and depressive symptoms in combat-exposed veterans. AS may be less relevant to understanding risk for PTSD among combat-exposed veterans experiencing poor sleep quality.

Health Behaviors Among Service Members Injured on Deployment: A Study From the Wounded Warrior Recovery Project

Introduction

Service members (SMs) who are injured on deployment are at risk for myriad long-term health problems that may be ancillary to their physical injury, including high rates of depression and posttraumatic stress disorder, and poor health behaviors (e.g., problem drinking, cigarette and tobacco use, poor sleep quality, and sedentary lifestyle). As the specific health behaviors injured SMs engage in have been largely ignored, the primary aim of this study was to compare health behavior patterns among those with and without mental health problems in a large, representative sample of SMs injured on combat deployment.

Materials and Methods

Participants (N = 3,303) completed behavioral health assessments between September 2018 and April 2019 as part of the Wounded Warrior Recovery Project. Multivariate linear regressions and binary logistic regressions were used to evaluate differences between mental health screening status and health behavior outcomes, adjusting for injury severity, age, and years since injury.

Results

Overall, about half of participants screened positive for posttraumatic stress disorder and/or depression (49%). Participants reported high rates of alcohol use and problems, cigarette and tobacco use, inadequate sleep and poor sleep quality, and low levels of physical activity. With the exception of number of drinking days and likelihood of current tobacco use, participants who screened positive for a mental health disorder evidenced significantly worse health behavior outcomes.

Conclusions

The results provide a preliminary glance into the mental health and health behaviors of SMs roughly a decade after injury, and underscore the importance of examining the interplay between mental, physical, and behavioral health outcomes among wounded warriors to promote health and wellness.

The Development of a Rapid Classification Scale for Sleep Quality in Community-Dwelling Older Adults - The Yilan Study, Taiwan

OBJECTIVE

Poor sleep quality is prevailing, deleterious, but heterogeneous in older adults. This study aimed to develop a simplified instrument to screen and classify poor sleep quality in community-dwelling older adults, by which stepped care with needs-based interventions could be implemented.

METHODS

Cohorts of adults aged 65 years and older were used to develop the Rapid Classification Scale for Sleep Quality (RCSSQ). Poor sleep quality was defined with the Pittsburgh Sleep Quality Index (PSQI). Established subgroups of poor sleep quality in the development dataset (n = 2622) were used as the criterion standard. Two independent validation datasets (n = 964 and 193, respectively) were used to examine the external validity. Questions in the PSQI were examined by the stepwise multinomial logistic regressions to determine the optimal numbers of items in the RCSSQ. On the premise of item parsimony and instrument validity, the optimal combination of reduced items was determined.

RESULTS

In the development dataset, the 4-item RCSSQ (RCSSQ-4) was the optimal predictive model. In terms of internal validity, the accuracy rates to identify PSQI-defined poor sleep quality and its subgroups in the developmental dataset by the RCSSQ-4 were 89.0% and 79.9%, respectively. Meanwhile, the RCSSQ-4 also had good external validity in the validation datasets to detect PSQI-defined poor sleep quality (accuracy rates: 89.1-90.7%). Furthermore, the profiles of PSQI component scores and comorbid conditions for the predicted subgroups in the validation dataset were comparable with the criterion standard.

CONCLUSION

The RCSSQ-4 is a valid instrument for screening and subgrouping poor sleep quality in community-dwelling older adults. The RCSSQ-4 may help guide tailored interventions under the context of stepped care in the community.

Long-Term Outcomes of Service Women Injured on Combat Deployment

Sex- and gender-based health disparities are well established and may be of particular concern for service women. Given that injured service members are at high risk of adverse mental and behavioral health outcomes, it is important to address any such disparities in this group, especially in regard to patient-reported outcomes, as much of the existing research has focused on objective medical records. The current study addressed physical and mental health-related quality of life, mental health symptoms, and health behaviors (i.e., alcohol use, sleep, and physical activity) among a sample of service women injured on deployment. Results indicate that about half of injured service women screened positive for a mental health condition, and also evidenced risky health behaviors including problematic drinking, poor sleep, and physical inactivity. Many of the mental and behavioral health variables demonstrated statistically significant associations with each other, supporting the relationships between psychological health and behaviors. Results provide additional evidence for the importance of access to integrated and effective mental healthcare treatment for injured service women and the need for screening in healthcare settings that address the multiple factors (e.g., mental health symptoms, alcohol use, poor sleep) that may lead to poor outcomes.

Use of a modified mandibular splint to reduce nocturnal symptoms in persons with post-traumatic stress disorder

OBJECTIVE

Based on a series of clinical observations that a thicker mandibular splint than that commonly used to treat bruxism and related craniomandibular myofascial pain reduced post-traumatic stress disorder (PTSD) nocturnal symptomatology (sleep disruptions, headaches, and nightmares), this study of 100 PTSD participants was undertaken to systematically establish 'proof of concept' of the therapeutic effectiveness of this modified splinting procedure.

METHODS

Following the fabrication of splints thicker than those conventionally used, the effectiveness of this new procedure used by dentists was determined by comparing the self-reported frequency and intensity/severity of PTSD symptomatology during a seven-night pretreatment baseline period without the splint with a second seven-night period in which the modified splint was inserted. The scoring for the three dependent measures (sleep disruptions, headaches, and nightmares) was based on the frequencies on a scale from 0-7 multiplied by the intensity/severity on a scale of 1-10.

RESULTS

Compared with the pre-splint baseline period, the insertion of the thickened splint resulted in a highly significant reduction of sleep disruption, nocturnal headaches, and nightmares. A second seven-night control period without the splint was followed by a second seven-night period with the splint, reproducing the effectiveness of the first splinting period.

CONCLUSION

The results of this study provide the first systematic, documented proof of concept of the effectiveness of a modified splinting procedure in reducing key nocturnal symptoms in PTSD patients.

Reliability, Validity, and Factor Structure of Pittsburgh Sleep Quality Index in Community-Based Centenarians

BACKGROUND

The Pittsburgh Sleep Quality Index (PSQI) is a widely used self-report questionnaire that measures general sleep quality in general populations. However, its psychometric properties have yet to be thoroughly examined in longevous persons.

OBJECTIVES

This study aimed to explore the reliability, validity and factor structure of the Chinese-language version of the PSQI in community-dwelling centenarians.

METHODS

A total of 958 centenarians (mean age = 102.8 years; 81.8% females) recruited from 18 regions in Hainan, China, completed the PSQI scale. Cronbach's alpha coefficient was used to measure the internal consistency. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were performed to explore the validity and factor structure of the PSQI in this sample. Correlations between the global PSQI score and physical function, depression symptoms, self-reported health status and subjective well-being were used to assess divergent validity.

RESULTS

The Cronbach's α coefficient of the PSQI was 0.68, and it increased to 0.78 after two components (medication use and daytime dysfunction) were removed. The Spearman correlation coefficients of the PSQI score with each component were statistically significant (P<0.01). EFA yielded a two-factor structure model of the original PSQI-7 and a one-factor structure model of the simplified PSQI-5. The one-factor model with five components (χ2/df =1.59, CFI=0.99, RMSEA=0.03) fit the data well and had good configural invariance across demographic characteristics (0.53<Δχ2<5.58, P>0.05).

CONCLUSIONS

The original PSQI showed acceptable applicability in Chinese community-dwelling centenarians, and its psychometric characteristics moderately improved after sleeping medication and daytime dysfunction were removed. Further validation studies on PSQI are needed among centenarians from varied backgrounds.

Sleep quality, occupational factors, and psychomotor vigilance performance in the U.S. Navy sailors

Study Objectives

This field study (a) assessed sleep quality of sailors on the U.S. Navy (USN) ships while underway, (b) investigated whether the Pittsburgh Sleep Quality Index (PSQI) scores were affected by occupational factors and sleep attributes, and (c) assessed whether the PSQI could predict impaired psychomotor vigilance performance.

Methods

Longitudinal field assessment of fit-for-duty USN sailors performing their underway duties (N = 944, 79.0% males, median age 26 years). Participants completed questionnaires, wore actigraphs, completed logs, and performed the wrist-worn 3-min Psychomotor Vigilance Task (PVT).

Results

Sailors slept on average 6.60 ± 1.01 h/day with 86.9% splitting their sleep into more than one episode/day. The median PSQI Global score was 8 (interquartile range [IQR] = 5); 80.4% of the population were classified as “poor sleepers” with PSQI scores &gt;5. PSQI scores were affected by sailor occupational group, rank, daily sleep duration, and number of sleep episodes/day. Sleep quality showed a U-shape association with daily sleep duration due to the confounding effect of split sleep. Sailors with PSQI scores &gt;9 had 21.1% slower reaction times (p &lt; 0.001) and 32.8%–61.5% more lapses combined with false starts (all p &lt; 0.001) than sailors with PSQI scores ≤9. Compared to males and officers, females and enlisted personnel had 86% and 23% higher risk, respectively, of having PSQI scores &gt;9. Sailors in the PSQI &gt; 9 group had more pronounced split sleep.

Conclusions

Working on Navy ships is associated with elevated PSQI scores, a high incidence of poor sleep, and degraded psychomotor vigilance performance. The widely used PSQI score&gt;5 criterion should be further validated in active-duty service member populations.

Post traumatic stress symptom variation associated with sleep characteristics

BACKGROUND

Post traumatic stress disorder (PTSD) and sleep problems are highly related. The relationship between nighttime sleep characteristics and next day post traumatic stress symptoms (PTSS) is not well known. This study examined the relationship between the previous night's sleep duration, number of awakenings, sleep quality, trouble falling asleep, and difficulty staying asleep and PTSS the following day.

METHODS

Using an ecological momentary assessment methodology, individuals with probable PTSD (N = 61) reported their nighttime sleep characteristics daily and PTSS four times per day for 15 days. Univariate and multivariate linear mixed models were used to examine the previous night's (within-subjects) and person's mean (between-subjects) associations between sleep characteristics and PTSS.

RESULTS

The previous night's sleep duration (p < .001), sleep quality (p < .001), trouble falling asleep (p < .001), and difficulty staying asleep (p < .001) significantly predicted the next day's PTSS. When examined in a multivariate model including all characteristics simultaneously, previous night's sleep duration (p = .024), trouble falling asleep (p = .019), and difficulty staying asleep (p < .001) continued to predict PTSS, but sleep quality (p = .667) did not. When considering a person's mean, trouble falling asleep (p = .006) and difficulty staying asleep (p = .001) predicted PTSS, but only difficulty staying asleep (p = .018) predicted PTSS in a multivariate model.

CONCLUSIONS

Among individuals with PTSD, the previous night's sleep duration, trouble falling asleep, and difficulty staying asleep predict next day PTSD symptoms. Interventions that facilitate falling and staying asleep and increase time slept may be important for treating PTSD.

Mobile App Use for Insomnia Self-Management: Pilot Findings on Sleep Outcomes in Veterans

Background

Sleep disturbance is a major health concern among US veterans who have served since 2001 in a combat theater in Iraq or Afghanistan. We report subjective and objective sleep results from a pilot trial assessing self-management–guided use of a mobile app (CBT-i Coach, which is based on cognitive behavioral therapy for insomnia) as an intervention for insomnia in military veterans.

Objective

The primary aim of this study was to evaluate changes in subjective and objective sleep outcomes from pre to postintervention.

Methods

Subjective outcomes included the Insomnia Severity Index, the Pittsburgh Sleep Quality Inventory, and sleep-related functional status. A wearable sleep monitor (WatchPAT) measured objective sleep outcomes, including sleep efficiency, percent rapid eye movement (REM) during sleep, sleep time, and sleep apnea. A total of 38 participants were enrolled in the study, with 18 participants being withdrawn per the protocol because of moderate or severe sleep apnea and 9 others who dropped out or withdrew. Thus, 11 participants completed the full 6-week CBT-i Coach self-management intervention (ie, completers).

Results

Completer results indicated significant changes in subjective sleep measures, including reduced reports of insomnia (Z=–2.68, P=.007) from pre (mean 16.63, SD 5.55) to postintervention (mean 12.82, SD 3.74), improved sleep quality (Z=–2.37, P=.02) from pre (mean 12.82, SD 4.60) to postintervention (mean 10.73, SD 3.32), and sleep-related functioning (Z=2.675, P=.007) from pre (mean 13.86, SD 3.69) to postintervention (mean 15.379, SD 2.94). Among the objective measures, unexpectedly, objective sleep time significantly decreased from pre to postintervention (χ²₂=7.8, P=.02). There were no significant changes in percent REM sleep or sleep efficiency.

Conclusions

These findings suggest that the CBT-i Coach app can improve subjective sleep and that incorporating objective sleep measures into future, larger clinical trials or clinical practice may yield important information, particularly by detecting previously undetected sleep apnea.

Trial Registration

ClinicalTrials.gov NCT02392000; http://clinicaltrials.gov/ct2/show/NCT02392000

Heterogeneity of sleep quality in relation to circadian preferences and depressive symptomatology among major depressive patients

BACKGROUND

The current study aimed at investigating the latent dimensional structure of sleep quality as indexed by the seven components of the Pittsburgh Sleep Quality Index (PSQI), as well as latent covariance structure between sleep quality, circadian preferences and depressive symptoms.

METHODS

Two hundred twenty-five patients with major depressive disorder (MDD), with an average age of 29.92 ± 10.49 years (aged between 17 and 63), participated in the study. The PSQI, Morningness-Eveningness Questionnaire (MEQ) and Beck Depression Inventory (BDI) were administered to participants. Four sets of latent class analyses were subsequently run to obtain optimal number of latent classes best fit to the data.

RESULTS

Mixture models revealed that sleep quality is multifaceted in MDD. The data best fit to four-latent-class model: Poor Habitual Sleep Quality (PHSQ), Poor Subjective Sleep Quality (PSSQ), Intermediate Sleep Quality (ISQ), and Good Sleep Quality (GSQ). MDD patients classified into GSQ latent class (23.6%) reported the lowest depressive symptoms and were more prone to morningness diurnal preferences compared to other three homogenous sub-groups. Finally, the significant association between eveningness diurnal preferences and depressive symptomatology was significantly mediated by poor sleep quality.

LIMITATION

The cross-sectional nature of the study and the lack of an objective measurement of sleep such as polysomnography recordings was the most striking limitation of the study.

CONCLUSIONS

We concluded sleep quality in relation to circadian preferences and depressive symptoms has a heterogeneous nature in MDD.

Dimensionality of the Pittsburgh Sleep Quality Index: a systematic review

Background

The Pittsburgh Sleep Quality Index (PSQI) dimensionality is much debated, with the greatest number of reported factor structures. Therefore, this review appraised the methodologies of studies investigating the factor structure of the PSQI.

Material and methods

MEDLINE, PsycInfo, AJOL, BASE, Cochrane Library, Directory of Open Access Journals (Lund University), CINAHL, and Embase were searched systematically to include articles published till 23rd March, 2018. The articles with the objective of factor analysis of the PSQI (20 articles) or with a major section on the same subject (25 articles) were included. There was no limitation about participant characteristics. Descriptive analysis of articles for measures of the suitability of the data for factor analysis, details of the exploratory factor analysis (EFA) and details of the confirmatory factor analysis (CFA) was performed.

Results

The analysis used by the majority did not employ the simplest scheme for interpreting the observed data: the parsimony principle. Other shortcomings included under- or non-reporting of sample adequacy measures (11 out of 45 articles), non-use of EFA (20 out of 45 articles), use of EFA without relevant details, non-use of CFA (11 out of 45 articles), and use of CFA without relevant details. Overall, 31 out of 45 articles did not use either EFA or CFA.

Conclusion

We conclude that the various PSQI factor structures for standard sleep assessment in research and clinical settings may need further validation.

Trial registration

Not applicable because this was a review of existing literature.

Trauma Sequelae are Uniquely Associated with Components of Self-Reported Sleep Dysfunction in OEF/OIF/OND Veterans

While the associations between psychological distress (e.g., posttraumatic stress disorder [PTSD], depression) and sleep dysfunction have been demonstrated in trauma-exposed populations, studies have not fully explored the associations between sleep dysfunction and the wide range of common physical and physiological changes that can occur after trauma exposure (e.g., pain, cardiometabolic risk factors). We aimed to clarify the unique associations of psychological and physical trauma sequelae with different aspects of self-reported sleep dysfunction. A comprehensive psychological and physical examination was administered to 283 combat-deployed trauma-exposed Operation Enduring Freedom/Operation Iraqi Freedom/Operation New Dawn (OEF/OIF/OND) veterans. The Pittsburgh Sleep Quality Index (PSQI) and PSQI Addendum for PSTD (PSQI-A) were administered along with measures of PTSD, depression, anxiety, pain, traumatic brain injury, alcohol use, nicotine dependence, and cardiometabolic symptoms. We first performed a confirmatory factor analysis of the PSQI and then conducted regressions with the separate PSQI factors as well as the PSQI-A to identify unique associations between trauma-related measures and the separate aspects of sleep. We found that the PSQI global score was composed of three factors: Sleep Efficiency (sleep efficiency/sleep duration), Perceived Sleep Quality (sleep quality/sleep latency/sleep medication) and Daily Disturbances (sleep disturbances/daytime dysfunction). Linear regressions demonstrated that PTSD symptoms were uniquely associated with the PSQI global score and all three factors, as well as the PSQI-A. For the other psychological distress variables, anxiety was independently associated with PSQI global as well as Sleep Efficiency, Perceived Sleep Quality, and PSQI-A, whereas depression was uniquely associated with Daily Disturbances and PSQI-A. Notably, cardiometabolic symptoms explained independent variance in PSQI global and Sleep Efficiency. These findings help lay the groundwork for further investigations of the mechanisms of sleep dysfunction in trauma-exposed individuals and may help in the development of more effective, individualized treatments.

Assessing sleep quality using self-report and actigraphy in PTSD

Sleep disturbance is commonly reported by participants with post-traumatic stress disorder, but objective evidence of poor sleep is often absent. Here we compared self-report and actigraphic evaluations of sleep between veterans with post-traumatic stress disorder and controls. Participants reported their sleep retrospectively for the month before the recording night and on the recording night. On the recording night, they wore an Actiwatch-64 and were instructed to press the marker button upon getting into bed, each time they awoke, and at their final awakening. The post-traumatic stress disorder group reported much worse sleep than controls on the Pittsburgh Sleep Quality Index for the previous month and somewhat poorer sleep on the recording night. However, on the recording night, neither diary nor actigraphic measures of number of awakenings, total time in bed, nor time lying awake after sleep onset differed between participants with and without post-traumatic stress disorder. Diary-reported number of awakenings was fewer than actigraphically captured awakenings. These results suggest a memory bias towards remembering worse sleep on the nights before the recording night.

Adaptation of a 3-factor model for the Pittsburgh Sleep Quality Index in Portuguese older adults

The present study examined the factor structure of the Pittsburgh Sleep Quality Index (PSQI) in a sample of older Portuguese adults using a cross-validation approach. Design is a cross-sectional. A convenience sample of 204 community-dwelling older adults (M=70.05, SD=7.15) were included. The global sleep quality (GSQ) score ranged from 0 to 18 with a mean of 5.98 (SD±3.45). The distribution showed that gender and perception of oneself as healthy influences GSQ in this sample. Cronbach's α was 0.69, but increased to 0.70 if the "use of sleep medication" component was deleted. Exploratory factor analysis (EFA) demonstrated two factor model is better than one factor, and a model fit with good indices (chi-square=8.649, df=8, p=0.373). Confirmatory factor analysis (CFA) was performed on the single factor, two factor, and three factor models, with and without the "use of sleep medications" component. The best model was the 3-factor model without the "use of sleep medications" component (chi-square=1.214, df=6, GFI=0.997, AGFI=0.918, CFI=0.986, RMSEA=0.046). The adaptation of the model is similar to the original model, with the only change being the exclusion of the "use of medications to sleep" component. We suggest using that component as a complementary qualitative assessment of health.

Sleep Disturbance in Posttraumatic Stress Disorder: Epiphenomenon or Causal Factor?

PURPOSE OF REVIEW

The goal of this review is to integrate recent findings on sleep disturbance and PTSD, examine sleep disturbance as a causal factor in the development of PTSD, and identify future directions for research, treatment, and prevention.

RECENT FINDINGS

Recent research highlights a relationship between both objective and subjective sleep disturbance and PTSD across diverse samples. Sleep disturbance also predicts PTSD over time. Finally, treatments targeting sleep disturbance lead to decreased PTSD symptoms, while standard PTSD treatments conclude with residual sleep disturbance. Sleep disturbance may be more than a mere epiphenomenon of PTSD. Future research examining the causal role of sleep disturbance in the development of PTSD, as well as the utility of targeting sleep disturbance in prevention and treatment, is necessary to fully understand the likely bidirectional relationship between sleep disturbance and PTSD.

Sleep Disturbances in OEF/OIF/OND Veterans: Associations with PTSD, Personality, and Coping

STUDY OBJECTIVES

Sleep disturbances are well documented in relation to trauma exposure and posttraumatic stress disorder (PTSD), but correlates of such disturbances remain understudied in veteran populations. We conducted a preliminary study of sleep disturbances in Operation Enduring Freedom, Operation Iraqi Freedom, and Operation New Dawn veterans (n = 133; mean [standard deviation] age = 29.8 [4.7] y).

METHODS

Veterans were assigned to one of three groups based on responses to the Clinician Administered PTSD Scale: control (no trauma-exposure [TE] or PTSD), TE, and PTSD. Sleep disturbance was assessed using the Pittsburgh Sleep Quality Index (PSQI). Measures of resilience, trauma load, personality, coping, alcohol use, and mild traumatic brain injury were also assessed via self-report.

RESULTS

The PTSD group had significantly more disturbed sleep (PSQI global score mean = 8.94, standard deviation = 3.12) than control (mean = 5.27, standard deviation = 3.23) and TE (mean = 5.34, standard deviation = 3.17) groups, but there were no differences between TE and control. The same pattern emerged across most PSQI subscales. Results of linear regression analyses indicated that current smoking, Army (versus other military branches), neuroticism, and using substances to cope were all significant correlates of higher sleep disturbance, whereas post-deployment social support was associated with less sleep disturbance. However, when combined together into a model with PTSD status, only neuroticism and substance use coping remained significant as predictors of more disturbed sleep.

CONCLUSIONS

These initial findings suggest that TE itself may not be an independent risk factor for disturbed sleep in veterans, and that neurotic personality and a tendency to cope by using substances may partially explain sleep disturbance, above and beyond a diagnosis of PTSD.

An examination of sleep quality in veterans with a dual diagnosis of PTSD and severe mental illness

Poor sleep quality is one of the most frequently reported symptoms by veterans with Posttraumatic Stress Disorder (PTSD) and by veterans with severe mental illness (SMI; i.e., schizophrenia spectrum disorders, bipolar disorder, major depression with or without psychotic features). However, little is known about the compounding effects of co-occurring PTSD/SMI on sleep quality in this population. Given the high rates of comorbidity and poor functional outcomes associated with sleep dysfunction, there is a need to better understand patterns of poor sleep quality in this population. The present study provides a description of sleep quality in veterans with a dual diagnosis of PTSD/SMI relative to veterans with PTSD only. Results indicated that, despite similar reports of PTSD symptom severity between the groups, veterans with PTSD/SMI reported higher levels of poor sleep quality than veterans only diagnosed with PTSD. Specifically, veterans with PTSD/SMI reported significantly greater difficulties with sleep onset and overall more sleep disturbance than their non-SMI counterparts. Implications of the findings are discussed within the context of an existing model of insomnia and suggest that more comprehensive sleep assessment and the provision of targeted sleep interventions may be helpful for those with a dual diagnosis of PTSD/SMI.

Validation of the Portuguese version of the Pittsburgh Sleep Quality Index (PSQI-PT)

The present study was realised to validate the Portuguese version of the PSQI. The instrument PSQI-PT was applied to 347 Portuguese community-dwelling adults aged 18-69 years old. The resulting data was used to perform the psychometric analysis to validate the instrument. No structural modifications to the questionnaire were necessary during the adaptation process. The scores for the PSQI-PT showed an adequate internal consistency. The principal component analysis (PCA) produced good factor loading for all items. Finally, the analysis of demographic variables showed that age and literacy influence the values for the "Global Sleep Quality" (GSQ) in this Portuguese sample. In conclusion, this study demonstrated that the PSQI-PT is a valid and reliable instrument for the assessment of sleep quality with the advantage of allowing community-dwelling adults differentiation between good and poor sleepers.

A Comparison of Sleep Difficulties among Iraq/Afghanistan Theater Veterans with and without Mental Health Diagnoses

STUDY OBJECTIVES

Sleep disturbance is among the most common complaints of veterans and military personnel who deployed to the conflicts in Iraq and Afghanistan. A growing body of research has examined cross-sectional and longitudinal relationships between sleep disturbance and mental health symptoms and specific diagnoses in this population. However, prior research has not examined these relationships in terms of the presence or absence of any mental health diagnosis. The objective of the current study is to characterize the sleep complaints (sleep characteristics, sleep quality, insomnia symptoms, and distressing dreams and nightmares) of previously deployed military personnel in terms of the presence or absence of a mental health disorder, diagnosed using structured clinical diagnostic interviews.

METHODS

Participants (n = 1,238) were veterans and active duty military personnel serving in the military since September 11, 2001, and deployed at least once. Scale scores and item-level data from the Pittsburgh Sleep Quality Index (PSQI), the PSQI-Addendum, the Davidson Trauma Scale, and the Symptom Checklist-90 were used to compare sleep across mental health status (with/without mental health disorder).

RESULTS

As expected, self-reported sleep impairments were worse among those meeting criteria for a mental health disorder. However, findings also revealed very poor sleep among those without a mental health diagnosis as well. Mean values for both groups were suggestive of short sleep duration, low sleep efficiency, long sleep onset latencies, poor sleep quality, frequent insomnia symptoms, and nightmare frequencies that are well above norms for the general population.

CONCLUSIONS

Given the evidence for adverse mental and physical health sequelae of untreated sleep disturbance, increased attention to sleep in this population may serve as a primary prevention strategy.

Sleep and REM sleep disturbance in the pathophysiology of PTSD: the role of extinction memory

Post-traumatic stress disorder (PTSD) is accompanied by disturbed sleep and an impaired ability to learn and remember extinction of conditioned fear. Following a traumatic event, the full spectrum of PTSD symptoms typically requires several months to develop. During this time, sleep disturbances such as insomnia, nightmares, and fragmented rapid eye movement sleep predict later development of PTSD symptoms. Only a minority of individuals exposed to trauma go on to develop PTSD. We hypothesize that sleep disturbance resulting from an acute trauma, or predating the traumatic experience, may contribute to the etiology of PTSD. Because symptoms can worsen over time, we suggest that continued sleep disturbances can also maintain and exacerbate PTSD. Sleep disturbance may result in failure of extinction memory to persist and generalize, and we suggest that this constitutes one, non-exclusive mechanism by which poor sleep contributes to the development and perpetuation of PTSD. Also reviewed are neuroendocrine systems that show abnormalities in PTSD, and in which stress responses and sleep disturbance potentially produce synergistic effects that interfere with extinction learning and memory. Preliminary evidence that insomnia alone can disrupt sleep-dependent emotional processes including consolidation of extinction memory is also discussed. We suggest that optimizing sleep quality following trauma, and even strategically timing sleep to strengthen extinction memories therapeutically instantiated during exposure therapy, may allow sleep itself to be recruited in the treatment of PTSD and other trauma and stress-related disorders.

Effects of sleep on memory for conditioned fear and fear extinction

Learning and memory for extinction of conditioned fear is a basic mammalian mechanism for regulating negative emotion. Sleep promotes both the consolidation of memory and the regulation of emotion. Sleep can influence consolidation and modification of memories associated with both fear and its extinction. After brief overviews of the behavior and neural circuitry associated with fear conditioning, extinction learning, and extinction memory in the rodent and human, interactions of sleep with these processes will be examined. Animal and human studies suggest that sleep can serve to consolidate both fear and extinction memory. In humans, sleep also promotes generalization of extinction memory. Time-of-day effects on extinction learning and generalization are also seen. Rapid eye movement (REM) may be a sleep stage of particular importance for the consolidation of both fear and extinction memory as evidenced by selective REM deprivation experiments. REM sleep is accompanied by selective activation of the same limbic structures implicated in the learning and memory of fear and extinction. Preliminary evidence also suggests extinction learning can take place during slow wave sleep. Study of low-level processes such as conditioning, extinction, and habituation may allow sleep effects on emotional memory to be identified and inform study of sleep's effects on more complex, emotionally salient declarative memories. Anxiety disorders are marked by impairments of both sleep and extinction memory. Improving sleep quality may ameliorate anxiety disorders by strengthening naturally acquired extinction. Strategically timed sleep may be used to enhance treatment of anxiety by strengthening therapeutic extinction learned via exposure therapy. (PsycINFO Database Record

The mediating effect of sleep quality on the relationship between PTSD and physical activity

STUDY OBJECTIVES

Physical inactivity is linked to health outcomes such as obesity, diabetes, and psychiatric disorders. Sleep disturbance has been linked to the same adverse outcomes. We examine the influence of sleep on physical activity as a novel approach to understand these relationships. Specifically, our objective was to determine whether low sleep quality predicts low physical activity in posttraumatic stress disorder (PTSD), a disorder associated with sleep disturbance, physical inactivity, and poor health outcomes.

METHODS

We used data from the Mind Your Heart Study, a prospective cohort study of 736 outpatients recruited from two Department of Veterans Affairs (VA) medical centers. We assessed PTSD with the Clinician Administered PTSD Scale, sleep quality using an item from the Pittsburgh Sleep Quality Index, and physical activity by self-report at baseline and again one year later. Hierarchical multiple regression models and structural equation modeling were used to examine the relationships among PTSD, sleep, and physical activity.

RESULTS

Sleep quality but not PTSD status was prospectively associated with lower physical activity in a model adjusting for age, sex, apnea probability, depression, body mass index, and baseline physical activity (β = 0.129, SE = 0.072, p < 0.01). Structural equation modeling indicated that the results were consistent with sleep quality statistically mediating the relationship between PTSD status at baseline and physical activity one year later.

CONCLUSIONS

Worse sleep quality predicts lower physical activity in PTSD, providing possible evidence for a behavioral pathway from disturbed sleep to poor physical health outcomes.

The impact of perceived sleep quality and sleep efficiency/duration on cannabis use during a self-guided quit attempt

Poor sleep quality may play a significant role in observed high rates of sustained cannabis use among veterans attempting to quit. We investigated whether individuals with poorer perceived sleep quality (rather than sleep efficiency/duration), as measured via the Pittsburgh Sleep Quality Index (Buysse, Reynolds, Monk, & Berman, 1989), would have less of a reduction in cannabis use (measured via Timeline FollowBack; Sobell and Sobell, 1992) during the first 6 months following a self-guided quit attempt. We expected these effects to remain significant after adjusting for baseline age, posttraumatic stress symptoms, as well as alcohol, tobacco, and opioid use, and cannabis withdrawal severity over the course of 6 months following the cannabis cessation attempt. Generalized linear mixed modeling using a Poisson distribution was employed to test the hypotheses among 102 cannabis dependent, primarily male, military veterans. Results indicated that veterans with poor perceived sleep quality had less of a reduction in mean cannabis use following a self-guided cannabis cessation attempt compared to those with good perceived sleep quality, while efficiency/duration was unrelated to cannabis use outcomes. Conclusions from this study should be considered in light of limitations including the use of self-report measures and generalizability to non-veterans and women.