New developments in cognitive behavioral therapy as the first-line treatment of insomnia

Insomnia is the most common sleep disorder. Psychological, behavioral, and biological factors are implicated in the development and maintenance of insomnia as a disorder, although the etiology of insomnia remains under investigation, as it is still not fully understood. Cognitive behavioral therapy for insomnia (CBTI) is a treatment for insomnia that is grounded in the science of behavior change, psychological theories, and the science of sleep. There is strong empirical evidence that CBTI is effective. Recognition of CBTI as the first-line treatment for chronic insomnia (National Institutes of Health consensus, British Medical Association) was based largely on evidence of its efficacy in primary insomnia. The aim of this article is to provide background information and review recent developments in CBTI, focusing on three domains: promising data on the use of CBTI when insomnia is experienced in the presence of comorbid conditions, new data on the use of CBTI as maintenance therapy, and emerging data on the delivery of CBTI through the use of technology and in primary care settings

Insomnia disorder

Insomnia disorder affects a large proportion of the population on a situational, recurrent or chronic basis and is among the most common complaints in medical practice. The disorder is predominantly characterized by dissatisfaction with sleep duration or quality and difficulties initiating or maintaining sleep, along with substantial distress and impairments of daytime functioning. It can present as the chief complaint or, more often, co-occurs with other medical or psychiatric disorders, such as pain and depression. Persistent insomnia has been linked with adverse long-term health outcomes, including diminished quality of life and physical and psychological morbidity. Despite its high prevalence and burden, the aetiology and pathophysiology of insomnia is poorly understood. In the past decade, important changes in classification and diagnostic paradigms have instigated a move from a purely symptom-based conceptualization to the recognition of insomnia as a disorder in its own right. These changes have been paralleled by key advances in therapy, with generic pharmacological and psychological interventions being increasingly replaced by approaches that have sleep-specific and insomnia-specific therapeutic targets. Psychological and pharmacological therapies effectively reduce the time it takes to fall asleep and the time spent awake after sleep onset, and produce a modest increase in total sleep time; these are outcomes that correlate with improvements in daytime functioning. Despite this progress, several challenges remain, including the need to improve our knowledge of the mechanisms that underlie insomnia and to develop more cost-effective, efficient and accessible therapies

Characterization of patients who present with insomnia : is there room for a symptom cluster-based approach?

Study Objectives: This study examined empirically derived symptom cluster profiles among patients who present with insomnia using clinical data and polysomnography. Methods: Latent profile analysis was used to identify symptom cluster profiles of 175 individuals (63% female) with insomnia disorder based on total scores on validated self-report instruments of daytime and nighttime symptoms (Insomnia Severity Index, Glasgow Sleep Effort Scale, Fatigue Severity Scale, Beliefs and Attitudes about Sleep, Epworth Sleepiness Scale, Pre-Sleep Arousal Scale), mean values from a 7-day sleep diary (sleep onset latency, wake after sleep onset, and sleep efficiency), and total sleep time derived from an in-laboratory PSG. Results: The best-fitting model had three symptom cluster profiles: "High Subjective Wakefulness" (HSW), "Mild Insomnia" (MI) and "Insomnia-Related Distress" (IRD). The HSW symptom cluster profile (26.3% of the sample) reported high wake after sleep onset, high sleep onset latency, and low sleep efficiency. Despite relatively comparable PSG-derived total sleep time, they reported greater levels of daytime sleepiness. The MI symptom cluster profile (45.1%) reported the least disturbance in the sleep diary and questionnaires and had the highest sleep efficiency. The IRD symptom cluster profile (28.6%) reported the highest mean scores on the insomnia-related distress measures (eg, sleep effort and arousal) and waking correlates (fatigue). Covariates associated with symptom cluster membership were older age for the HSW profile, greater obstructive sleep apnea severity for the MI profile, and, when adjusting for obstructive sleep apnea severity, being overweight/obese for the IRD profile. Conclusions: The heterogeneous nature of insomnia disorder is captured by this data-driven approach to identify symptom cluster profiles. The adaptation of a symptom cluster-based approach could guide tailored patient-centered management of patients presenting with insomnia, and enhance patient care

A comparison of nefazodone, the cognitive behavioral-analysis system of psychotherapy, and their combination for the treatment of chronic depression

Background Patients with chronic forms of major depression are difficult to treat, and the relative efficacy of medications and psychotherapy is uncertain. Methods We randomly assigned 681 adults with a chronic nonpsychotic major depressive disorder to 12 weeks of outpatient treatment with nefazodone (maximal dose, 600 mg per day), the cognitive behavioral-analysis system of psychotherapy (16 to 20 sessions), or both. At base line, all patients had scores of at least 20 on the 24-item Hamilton Rating Scale for Depression (indicating clinically significant depression). Remission was defined as a score of 8 or less at weeks 10 and 12. For patients who did not have remission, a satisfactory response was defined as a reduction in the score by at least 50 percent from base line and a score of 15 or less. Raters were unaware of the patients’ treatment assignments. Results Of the 681 patients, 662 attended at least one treatment session and were included in the analysis of response. The overall rate of response (both remission and satisfactory response) was 48 percent in both the nefazodone group and the psychotherapy group, as compared with 73 percent in the combined-treatment group (P Conclusions Although about half of patients with chronic forms of major depression have a response to short-term treatment with either nefazodone or a cognitive behavioral-analysis system of psychotherapy, the combination of the two is significantly more efficacious than either treatment alone

Daytime sleepiness and sleep-wake schedules.

The present study assessed the differential effects of three manipulations of the sleep-wake schedules of college students on their levels of daytime sleepiness as measured by daily subjective ratings. The study was longitudinal and prospective. Following a baseline period (12 days), three experimental conditions were introduced. In the first group students were asked to sleep at least 7.5 hours at night and to avoid taking naps. In the second group, students were asked in addition to follow a regular sleep wake schedule. In the third group students were asked to sleep at least 7 hours at night and to take daily naps. The experimental phase lasted four weeks and overall, compliance was good. A follow up phase (one week) began five weeks past the termination of the experimental phase. The findings indicate that when nocturnal sleep is not deprived, regularization of the sleep-wake schedules lead to reduced sleepiness and improved psychological and cognitive functioning. Subjects in the regular schedule condition experienced greater and longer lasting improvements in their alertness compared with subjects in the other two groups combined. Napping was not found to produce any change in daytime sleepiness, but subjects who had greater increases in the regularity of nap frequency experienced greater decrease in daytime sleepiness. Subjects with evening tendencies benefited most from regularizing their sleep schedules whereas subjects with morning tendencies benefited most from taking naps