Investigating Affective Mechanisms of Behavioral Sleep Treatment

NCT ID: NCT02051543

Last Updated: 2015-09-25

Basic Information

• Recruitment Status: WITHDRAWN
• Clinical Phase: NA
• Study Classification: INTERVENTIONAL

Brief Summary

Insomnia is a highly prevalent condition and costly national public health problem and a transdiagnostic risk factor for the development of a number of internalizing/emotional disorders, as well as associated functional impairment. Interestingly, sleep treatments appear to reduce anxiety and depression in addition to improving sleep. Given the substantial individual and societal costs of insomnia and associated mental illness, there is an urgent need to better understand the mechanism through which sleep treatments improve daytime symptoms of depression and anxiety in order to enhance the efficacy of sleep treatments and ultimately prevent the development of depression and anxiety disorders following the onset of insomnia. Research suggests that sleep disruptions lead to emotional dysregulation, including increased negative affectivity and decreased positive affectivity. This affective reactivity may ultimately be related to the development of depression and anxiety. Despite the apparent link between sleep and emotion regulation, studies have not investigated the influence of sleep treatment on these affective dimensions. The investigators long term goal is to increase understanding of the mechanism of action in sleep treatments in relation to changes in positive and negative valence systems. The investigators immediate objective is to conduct a pilot study investigating changes in mean levels and day-to-day instability of affective dimensions following a brief behavioral intervention for insomnia tailored for veterans (Brief Behavioral Treatment for Insomnia-Military Version. The specific aims include developing a deeper understanding of the effects of behavioral sleep treatment on positive and negative valence systems and testing a model in which affective reactivity modulates the relation between sleep and internalizing symptoms. Both objective and subjective sleep data, as well as measures of affective states and depression/anxiety symptoms, will be collected pre and post-treatment in order to examine changes in sleep, affect and daytime symptoms over the course of treatment and to test a model in which affective changes mediate the relation between improvements in sleep and improvements in depression and anxiety. The investigators hypothesize that sleep treatment will improve sleep, daytime symptoms and affective reactivity and that changes in affect will mediate the relation between sleep and internalizing symptoms.

Conditions

Insomnia

Study Groups

Brief Behavioral Treatment of Insomnia-Military Version

Group Type: EXPERIMENTAL

Brief Behavioral Treatment of Insomnia -Military Version

Intervention Type: BEHAVIORAL

Interventions

Brief Behavioral Treatment of Insomnia -Military Version

Intervention Type: BEHAVIORAL

Eligibility Criteria

Inclusion Criteria

• meeting Diagnostic and Statistical Manual of Mental Disorders-5 criteria for a diagnosis of insomnia
• a score above the clinical cut-off for insomnia on the Insomnia Severity Index (ISI).63 Participants using psychotropic or hypnotic medications will be eligible if the medication and dose was stable for 3 weeks prior to study entry, and no changes were expected over the course of treatment.

Exclusion Criteria

• presence of an untreated sleep disorder other than insomnia (e.g., sleep breathing disorder, restless legs syndrome)
• report using drugs or alcohol at high levels
• report moderate or more levels of suicidal or homicidal ideation
• lifetime history of bipolar or psychotic disorder.

• Minimum Eligible Age: 18 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Minneapolis Veterans Affairs Medical Center

FED

Sponsor Role: lead

Responsible Party

Erin Koffel

Psychologist

Responsibility Role: PRINCIPAL_INVESTIGATOR

Other Identifiers

vamc-eak-1

Identifier Type: -

Identifier Source: org_study_id