The American College of Physicians (ACP) recently identified cognitive behavioral therapy for insomnia (CBT-I) as the first-line treatment for insomnia. Although CBT-I improves sleep outcomes and ...reduces the risks associated with reliance on hypnotics, patients are rarely referred to this treatment, especially in primary care where most insomnia treatment is provided. We reviewed the evidence about barriers to CBT-I referrals and efforts to increase the use of CBT-I services. PubMed, PsycINFO, and Embase were searched on January 11, 2018; additional titles were added based on a review of bibliographies and expert opinion and 51 articles were included in the results of this narrative review. Implementation research testing specific interventions to increase routine and sustained use of CBT-I was lacking. Most research focused on pre-implementation work that revealed the complexity of delivering CBT-I in routine healthcare settings due to three distinct categories of barriers. First, system barriers result in limited access to CBT-I and behavioral sleep medicine (BSM) providers. Second, primary care providers are not adequately screening for sleep issues and referring appropriately due to a lack of knowledge, treatment beliefs, and a lack of motivation to assess and treat insomnia. Finally, patient barriers, including a lack of knowledge, treatment beliefs, and limited access, prevent patients from engaging in CBT-I. These findings are organized using a conceptual model to represent the many challenges inherent in providing guideline-concordant insomnia care. We conclude with an agenda for future implementation research to systematically address these challenges.
While there is an accumulating evidence to suggest that therapies using mindfulness and acceptance-based approaches have benefits for improving the symptoms of insomnia, it is unclear how these ...treatments work. The goal of this paper is to present a conceptual framework for the cognitive mechanisms of insomnia based upon mindfulness and acceptance approaches. The existing cognitive and behavioral models of insomnia are first reviewed and a two-level model of cognitive (primary) and metacognitive (secondary) arousal is presented in the context of insomnia. We then focus on the role of metacognition in mindfulness and acceptance-based therapies, followed by a review of these therapies in the treatment of insomnia. A conceptual framework is presented detailing the mechanisms of metacognition in the context of insomnia treatments. This model proposes that increasing awareness of the mental and physical states that are present when experiencing insomnia symptoms and then learning how to shift mental processes can promote an adaptive stance to one’s response to these symptoms. These metacognitive processes are characterized by balanced appraisals, cognitive flexibility, equanimity, and commitment to values and are posited to reduce sleep-related arousal, leading to remission from insomnia. We hope that this model will further the understanding and impact of mindfulness and acceptance-based approaches to insomnia.
► A two-level model of cognitive (primary) and metacognitive (secondary) arousal is presented in the context of insomnia. ► A conceptual framework is presented detailing the mechanisms of metacognition in the context of insomnia treatments. ► Mechanisms include awareness of mental and physical states, shifting mental processes, and promoting an adaptive stance. ► A stance with balanced appraisals, cognitive flexibility, equanimity, and commitment to values reduces secondary arousal.
In September 2019, the U.S. Department of Veterans Affairs (VA) and the U.S. Department of Defense (DoD) approved a new joint clinical practice guideline for assessing and managing patients with ...chronic insomnia disorder and obstructive sleep apnea (OSA). This guideline is intended to give health care teams a framework by which to screen, evaluate, treat, and manage the individual needs and preferences of VA and DoD patients with either of these conditions.
In October 2017, the VA/DoD Evidence-Based Practice Work Group initiated a joint VA/DoD guideline development effort that included clinical stakeholders and conformed to the Institute of Medicine's tenets for trustworthy clinical practice guidelines. The guideline panel developed key questions, systematically searched and evaluated the literature, created three 1-page algorithms, and advanced 41 recommendations using the GRADE (Grading of Recommendations Assessment, Development and Evaluation) system.
This synopsis summarizes the key recommendations of the guideline in 3 areas: diagnosis and assessment of OSA and chronic insomnia disorder, treatment and management of OSA, and treatment and management of chronic insomnia disorder. Three clinical practice algorithms are also included.
To evaluate predeployment sleep duration and insomnia symptoms in relation to the development of mental health symptoms.
Longitudinal cohort study.
The Millennium Cohort Study survey is administered ...via a secure website or US mail.
Data were from 15,204 participants who completed their first deployment between the submissions of 2 consecutive Millennium Cohort questionnaires (2001-2008).
N/A.
Using self-reported data from the Millennium Cohort Study we evaluated the association of predeployment sleep duration and insomnia symptoms on the development of new-onset mental disorders among deployers. Multivariable logistic regression was used to estimate the odds of developing posttraumatic stress disorder (PTSD), depression, and anxiety, while adjusting for relevant covariates including combat-related trauma. The study outcomes were assessed using validated instruments, including the PTSD checklist-civilian version, and the PRIME-MD Patient Health Questionnaire. We identified 522 people with new-onset PTSD, 151 with anxiety, and 303 with depression following deployment. In adjusted models, combat-related trauma and predeployment insomnia symptoms were significantly associated with higher odds of developing posttraumatic stress disorder, depression, and anxiety postdeployment.
Sleep characteristics, especially insomnia symptoms, are related to the development of mental disorders following military deployments. Assessment of insomnia symptoms predeployment may help to better identify those at highest risk for subsequent adverse mental health outcomes.
Gehrman P; Seelig AD; Jacobson IG; Boyko EJ; Hooper TI; Gackstetter GD; Ulmer CS; Smith TC; for the Millennium Cohort Study Team. Predeployment sleep duration and insomnia symptoms as risk factors for new-onset mental health disorders following military deployment.
2013;36(7):1009-1018.
Post-9/11 veterans are particularly vulnerable to insomnia disorder. Having accurate prevalence rates of insomnia disorder in this relatively young, diverse population, is vital to determine the ...resources needed to identify and treat insomnia disorder. However, there are no accurate prevalence rates for insomnia disorder in post-9/11 veterans enrolling in the VA Healthcare System (VHA). We present accurate prevalence of insomnia disorder, and correlates, in a large sample of post-9/11 veterans enrolling in a VHA.
This was an observational study of 5,552 post-9/11 veterans newly enrolling for health care in a VHA. Data were collected using VA eScreening. Insomnia diagnosis was determined using a clinical cutoff score of ≥ 11 on the Insomnia Severity Index. Measures also included sociodemographic, service history, posttraumatic stress disorder (PTSD), depression, suicidal ideation, alcohol misuse, military sexual trauma, traumatic brain injury (TBI), and pain intensity.
About 57.2% of the sample population had insomnia disorder. Our sample was nationally representative for age, sex, ethnicity, branch of the military, and race. The sample also was at high-risk for a host of clinical disorders, including PTSD, TBI, and pain; all of which showed higher rates of insomnia disorder (93.3%, 77.7%, and 69.6%, respectively).
The findings suggest alarmingly high rates of insomnia disorder in this population. Examining and treating insomnia disorder, especially in the context of co-occurring disorders (e.g. PTSD), will be a necessity in the future.
To determine whether high-frequency heart rate variability (HF-HRV) during sleep differs between those with and without posttraumatic stress disorder (PTSD) as a function of sleep type (non-rapid eye ...movement NREM vs. rapid eye movement REM), and to explore this relationship across successive sleep cycles. Participants with PTSD were hypothesized to have lower HF-HRV across both REM and NREM sleep.
Sixty-two post-9/11 military veterans and service members completed self-report measures of sleep quality, insomnia severity, and disruptive nocturnal behaviors. Participants then completed a laboratory-based polysomnographic study night with concurrent HRV assessment.
Participants with PTSD (N = 29) had lower HF-HRV in overall NREM sleep relative to those without PTSD (N = 33) (F(1, 54) = 4.24, p = .04). Groups did not differ on overall HF-HRV during REM sleep. HF-HRV increased over the night for the sample as a whole during both NREM and REM sleep. PTSD status did not moderate the association between HF-HRV and sleep cycles. However, the PTSD group had lower HF-HRV in the first t(155) = 2.67, p = .008, and fourth NREM cycles, t(155) = 2.11, p = .036, relative to participants without PTSD.
Findings suggest blunted parasympathetic modulation during NREM sleep in a young cohort of military veterans and service-members with PTSD. Findings are concerning considering the increased risk of incident cardiovascular events associated with impaired parasympathetic nervous system function. Reduced parasympathetic modulation may be one mechanism underlying the increased prevalence of cardiovascular disease (CVD) among veterans with PTSD.
To examine the relationship between sleep disturbance and pain over a 14-year period.
This study used data from the 2002–2016 waves of the Health and Retirement Study (HRS), an observational study of ...U.S. adults over age 50 (n = 17,756). Sleep disturbance was measured via four items (assessing difficulty falling asleep, staying asleep, and waking up too early as well as restedness) and pain via two items assessing the presence and degree of pain. Analyses consisted of path analysis; more specifically, random intercept cross-lagged panel modeling (RI-CLPM) was used to examine how pain and sleep disturbance predict one another over two-year intervals after accounting for the trait-like nature of both factors.
There was evidence of reciprocal effects between sleep disturbance and pain across some, but not all, intervals. Moreover, the latent variables representing the trait-like nature of sleep disturbance and pain both showed significant variance (p < 0.001), indicating stable differences between persons in sleep and pain. These trait-like characteristics were strongly associated (β = 0.51, p < 0.001). The findings remained after adjusting the model for baseline age, self-reported health, partner status, depression, years of education, and sex.
Sleep disturbance and pain are stable experiences. Moreover, there was some evidence that sleep disturbance and pain are bidirectionally linked across time among adults over 50, whereby across some intervals deviations in one's typical level of sleep disturbance predicted corresponding deviations in one's typical level of pain and vice versa. Clinically, this comorbidity and potential longitudinal bidirectionality underscore the importance of evidence-based interventions that target both sleep and pain among older individuals. Further studies should replicate these findings by collecting validated and/or objective sleep and pain measures on a more frequent basis.
•Sleep disturbance and pain are trait-like.•A surge in sleep problems predicts an increase in pain two years later.•A surge in pain predicts an increase in sleep problems two years later.
In 2017 the Veterans Administration (VA) and Department of Defense (DOD) launched development of clinical practice guidelines (CPGs) for the diagnosis and treatment of sleep disorders, with the goal ...of informing and improving patient care. The guideline development process followed GRADE methodology, considering studies and systematic reviews published over the 10-year period prior to guideline development. A total of 41 recommendations were made,18 related to the diagnosis and treatment of obstructive sleep apnea (OSA) and 23 regarding chronic insomnia disorder. In contrast to other published guidelines, the VA DoD CPGs provide a comprehensive approach to diagnosis and management of the two most common sleep disorders, including a discussion of the sequencing of diagnostic approaches and treatment options. Regarding OSA, strong recommendations were made for follow-up evaluation after non-diagnostic home sleep apnea tests, positive airway pressure therapy as first-line treatment, and the incorporation of supportive, educational and behavioral interventions for patients at high risk for PAP therapy non-adherence due to comorbid conditions. Strong recommendations were also made for the use of cognitive-behavioral therapy for insomnia and against the use of kava (an herbal supplement) in the treatment of chronic insomnia disorder. These guidelines, while intended to directly inform care within VA and DOD, are broadly relevant to the practice of sleep medicine. The majority of scientific evidence was based on studies of non-military, non-veteran populations. The CPG is a major milestone for the VA and DOD in recognizing the importance of evidence-based treatments for sleep disorders in military personnel and veterans.
A significant portion of US military personnel are returning from deployment with trauma-related sleep disturbance, and disrupted sleep has been proposed as a mechanism for the development of medical ...conditions in those with posttraumatic stress disorder (PTSD). Although individuals with PTSD may realize improved sleep with either PTSD treatment or CBT for insomnia, many continue to experience residual sleep difficulties. Newly developed interventions designed to address nightmares are effective to this end, but often do not fully remove all aspects of PTSD-related sleep difficulties when used in isolation. A combined intervention involving both a nightmare-specific intervention and CBT for insomnia may lead to more marked reductions in PTSD-related sleep disturbances.
Twenty-two veterans meeting criteria for PTSD were enrolled in the study. A combined intervention comprised of CBT for insomnia and imagery rehearsal therapy was evaluated against a usual care comparison group.
Intent-to-treat analyses revealed medium to large treatment effect sizes for all sleep diary outcomes, and very large treatment effects for insomnia severity, sleep quality, and PTSD symptoms.
Findings demonstrate that an intervention targeting trauma-specific sleep disturbance produces large short-term effects, including substantial reductions in PTSD symptoms and insomnia severity. Future research should focus on the optimal approach to the treatment of comorbid PTSD and sleep disturbance in terms of sequencing, and should assure that sleep-focused interventions are available and acceptable to our younger veterans, who were more likely to drop out of treatment.
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