Crime Risk and Depression Differentially Relate to Aspects of Sleep in Patients with Major Depression or Social Anxiety.

Individuals with internalizing conditions such as depression or anxiety are at risk of sleep difficulties. Social-ecological models of sleep health propose factors at the individual (e.g., mental health) and neighborhood (e.g., crime risk) levels that contribute to sleep difficulties. However, these relationships have been under-researched in terms of internalizing conditions. Therefore, the current study comprised participants diagnosed with major depression (n = 24) or social anxiety (n = 35). Sleep measures included actigraphic variables (i.e., total sleep time, waking after sleep onset, sleep onset latency) and subjective sleep quality. Geocoding was used to assess nationally-normed crime risk exposure at the person level (e.g., murder, assault) and property level (e.g., robbery, burglary). Analyses consisted of independent t-tests to evaluate potential differences between diagnostic groups. To examine relationships, multiple regressions were used with internalizing symptoms, crime risk, and age as independent variables and sleep measures as the dependent variable. The t-test results revealed that groups differed in symptoms and age but not sleep or neighborhood crime. Regression results revealed crime risk positively corresponded with sleep onset latency but no other sleep measures. Also, only depression positively corresponded with total sleep time. Preliminary findings suggest exposure to crime and depression relate differentially to facets of sleep in individuals with internalizing conditions.

Shift work domains and their interactions with empty calorie food/beverage consumption: A 14-day intensive longitudinal study.

BACKGROUND/OBJECTIVES: Shift work has been linked to unhealthy eating behaviors such as imbalanced diet, or increased empty calorie food/beverage consumption. However, most research has focused on the impact of shift timing. The concept of shift work is complex, and it contains several domains such as shift timing, intensity, and speed. Previous studies have suggested that greater shift intensity and quicker shift speed may contribute to adverse health effects. However, evidence regarding associations between other domains of shift work and empty calorie food/beverage consumption has been relatively lacking. Therefore, the purpose of this study was to evaluate how other shift work domains related to empty calorie food/beverage consumption and whether different shift work domains interacted to influence the intake of foods or beverages. DESIGN: A 14-day intensive longitudinal study employing ecological momentary assessment. SETTINGS AND PARTICIPANTS: Eighty registered nurses working in 24 accredited Taiwanese hospitals (i.e., 9 medical centers, 12 regional hospitals, and 3 district hospitals) were recruited. METHODS: During the study period, a convenience sample of 77 participants completed 2444 momentary surveys about empty calorie food/beverage consumption on a smartphone. Three shift work domains (shift timing, intensity, and speed) were evaluated based on registry-based work schedules. To study how these shift work domains influenced empty calorie food/beverage consumption, we employed three-level mixed-effects regression models for data analyses. RESULTS: Findings suggested that greater night shift intensity increased the likelihood of sugar-sweetened beverage intake (odds ratio = 1.64, 95% confidence interval [1.01, 2.68]). The impacts of work shift intensity and shift timing on sugar-sweetened beverage consumption varied by shift speed. Among participants assigned a schedule with either medium or rapid shift speed, higher work shift intensity was associated with a higher probability of sugar-sweetened beverage consumption. Compared to day shifts, those who were assigned a quicker shift speed on evening shifts were more likely to consume sugar-sweetened beverages. However, associations between night shift intensity and sugar-sweetened beverage intake did not change by shift speed. Furthermore, shift intensity and shift timing did not interact to affect empty calorie food/beverage consumption. CONCLUSIONS: This study demonstrated assignments of shift schedules (i.e., high night shift intensity, more changes in shift timings) might influence workers' consumption of empty calorie foods/beverages. Therefore, identifying and mitigating hazardous shift schedules may help to improve shift workers' eating behaviors and benefit their overall health.

Psychometric properties of the Insomnia Severity Index for people with chronic obstructive pulmonary disease.

OBJECTIVE/BACKGROUND: Insomnia is one of the most commonly reported symptoms among people with chronic obstructive pulmonary disease (COPD). Prior research evaluated the psychometric properties of the Insomnia Severity Index (ISI) with various populations, but no studies have examined the measurement properties of the instrument in the COPD population. This study aimed to determine the reliability and validity of the ISI for the COPD population. PATIENTS/METHODS: This study included 96 people with COPD and insomnia. As psychometric properties, the ISI's internal consistency, factor structure, and criterion validity were examined with this sample. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to evaluate construct validity. Correlations between scores for the ISI and for measures of depression, anxiety, fatigue, and dyspnea were examined to determine criterion validity. RESULTS: The Cronbach's alpha value for the ISI was 0.79, indicating good internal consistency. In the EFA, a single ISI factor with an eigenvalue of 3.19 accounted for 45.6% of the variance. CFA indicated adequate construct validity, and interference of sleep problems with daytime functioning and level of distress caused by sleep difficulties showed the highest factor loadings (both 0.78). Criterion validity was supported by significant, weak to moderate correlations between scores for the ISI and for measures of depression, anxiety, fatigue, and dyspnea. CONCLUSIONS: The results provide evidence that the ISI has good reliability and validity for measuring insomnia severity in the COPD population.

Alcohol Disorders in Military Veterans: An Evaluation with the Roy Adaptation Model.

The purpose of this paper was to evaluate a role for the Roy adaptation model (RAM) for the nursing care of military veterans with alcohol use disorder. Parse's criteria were used to critique the RAM. The RAM's humanistic philosophy emphasizes the ability to develop new coping skills and adapt to complex environments. The framework can define physical, emotional, and social responses to stressors faced by veterans. The RAM could guide new research and practice initiatives that optimize the health of military veterans.

Non-pharmacological sleep interventions for adult patients in intensive care Units: A systematic review.

OBJECTIVES: To synthesize and evaluate current non-pharmacological sleep interventions for critically ill adult patients in intensive care units and provide recommendations for future studies of non-pharmacological means of improving this population's sleep quality. RESEARCH METHODOLOGY/DESIGN: The literature search was conducted following PRISMA guidelines. Seven databases CINAHL, PsycINFO, Embase, Medline, Cochrane Library, Web of Science, and Scopus and three keywords, sleep, intervention and intensive care unit were employed. All possible combinations of the keywords and similar words were considered. Included studies were primary studies, involved adult intensive care unit patients, focused on non-pharmacological sleep interventions, measured subjective and/or objective sleep quality and were published in English between January 2010 and September 2020. RESULTS: The 20 included studies examined different types of non-pharmacological sleep interventions involving use of earplugs, an eye mask, white noise, music, aromatherapy, massage, acupressure, light intensity, a sleep hygiene protocol, quiet time and minimization of nursing care. Of 18 studies employing an experimental design, most reported that non-pharmacological interventions improved sleep quality. All these interventions involved environmental factors or complementary relaxation strategies. CONCLUSIONS: Non-pharmacological sleep interventions can have a positive influence on sleep quality in critically ill patients, but more research is needed to determine their effectiveness.

Sleep disturbance and next-day physical activity in COPD patients.

Physical inactivity and sleep disturbance are more problematic in patients with chronic obstructive pulmonary disease (COPD) than in healthy individuals. The purpose of the study was to identify impacts of nighttime sleep on next-day physical activity in COPD patients. The study included 52 COPD patients reporting disturbed sleep. Sleep and physical activity were measured using an accelerometer for 5 days. Increased sleep latency was associated with less next-day physical activity during the afternoon (4-6 p.m.). Greater waking duration/times were associated with less next-morning (6-8 a.m.) physical activity. Greater total sleep time was associated with less next-morning (12-9 a.m.) physical activity, and greater sleep efficiency was associated with less next-morning (1-3 a.m.) and more next-evening (6-7 p.m.) physical activity. Results suggest that sleep disturbance had varying influences on next-day hourly physical activity. These results support the potential value of sleep management in promoting physical activity in COPD patients.

Relationships between objective sleep parameters and inflammatory biomarkers in pregnancy.

We examined the relationships between sleep and inflammatory biomarkers during late pregnancy. Seventy-four women underwent an overnight sleep assessment by polysomnography. Blood samples were collected before bedtime and again within 1 h upon awakening to measure C-reactive protein (CRP), interleukin (IL)-6, and IL-6 soluble receptor. Sleep parameters included variables characterizing sleep architecture and sleep continuity. The participants were 32.2 (SD = 4.1) years old, and the average gestational age was 32.8 (3.5) weeks. Controlling for covariates, evening CRP was negatively associated with N3 sleep (ß = -0.30, P = 0.010). N3 sleep was also negatively associated with morning CRP (ß = -0.26, P = 0.036), with a higher percentage of N3 sleep associated with a lower level of morning CRP. Contrarily, there was a tendency for a positive association between stage N2 sleep and morning CRP (ß = 0.23, P = 0.065). Stage N1 sleep was associated with morning IL-6 (ß = 0.28, P = 0.021), with a higher percentage of N1 sleep associated with a higher morning IL-6. No significant associations were found between morning inflammatory biomarkers and sleep continuity parameters. In conclusion, increased light sleep was associated with increased inflammatory biomarkers, whereas more deep sleep was associated with decreased inflammatory biomarkers. These findings further support the interactions between sleep and the immune system during late pregnancy.

Shift work relationships with same- and subsequent-day empty calorie food and beverage consumption.

Objectives Shift work may contribute to unhealthy eating behaviors. However, the evidence is built mainly on comparisons of eating behaviors between shift and non-shift workers. Growing research has suggested daily experiences and exposures may contribute to daily fluctuations in people's food consumption. The purpose of this study was to examine within-person associations between shift work and same- and subsequent-day empty calorie food/beverage consumption. Methods This was a 14-day intensive longitudinal study using ecological momentary assessment. A convenience sample of 80 hospital registered nurses working a rotating shift in Taiwan completed a 21-item food checklist assessing their empty food/beverage consumption (ie, fast/fried food, sweet and salty snacks, sugar-sweetened beverages) four times at random daily. Daily shift work (ie, day, evening, or night shift) was derived from the registry-based work schedule. Three-level mixed-effects regression models were employed for hypothesis testing. Results A total of 77 participants with 2444 momentary assessments were included in the final analysis. The results suggested that participants on night compared to day shifts had higher likelihoods of fast/fried food intake [adjusted odds ratio (OR adj) 1.7, 95% CI 1.2-2.6] and sugar-sweetened beverage consumption (OR adj1.5, 95% CI 1.0-2.1). However, there were no significant associations between shift work and subsequent-day empty calorie food/beverage consumption. Conclusions Night shift work is associated with same-day increased empty calorie food/beverage consumption among workers. Strategies that help to prevent unhealthy eating behaviors on night shifts may help to reduce rotating shift workers' empty calorie food/beverage consumption and ultimately improve their health.

Nursing Research Priorities in Critical Care, Pulmonary, and Sleep: International Delphi Survey of Nurses, Patients, and Caregivers.

The objective of this workshop was to determine current nursing research priorities in critical care, adult pulmonary, and sleep conditions through input from consumer (patient, family, and formal and informal caregivers) and nursing experts around the world. Working groups composed of nurses and patients selected potential research priorities based on patient insight and a literature review of patient-reported outcomes, patient-reported experiences, and processes and clinical outcomes in the focal areas. A Delphi consensus approach, using a qualitative survey method to elicit expert opinion from nurses and consumers was conducted. Two rounds of online surveys available in English, Spanish, and Chinese were completed. A 75% or greater threshold for endorsement (combined responses from nursing and consumer participants) was determined a priori to retain survey items. A total of 837 participants (649 nurses and 188 patients, family, and/or caregivers) from 45 countries responded. Survey data were analyzed and nursing research priorities that comprise 23 critical care, 45 adult pulmonary, and 16 sleep items were identified. This project was successful in engaging a wide variety of nursing and consumer experts, applying a patient-reported outcome/patient-reported experience framework for organizing and understanding research priorities. The project outcome was a research agenda to inform, guide, and aid nurse scientists, educators, and providers, and to advise agencies that provide research and program funding in these fields.

Intra-individual variability in sleep is related to glycaemic control in adults with type 2 diabetes.

AIMS: To examine whether there were significant differences in sleep during weekdays/weekends and whether the intra-individual variability in sleep was related to glycaemic control in patients with type 2 diabetes. DESIGN: Correlational, longitudinal design. METHODS: Data were collected between February 2017-January 2018. In all, 56 adults with type 2 diabetes were included (60.7 years, 55.4% female). Sleep was measured using the Consensus Sleep Diary over 8 days. Intra-individual variability of sleep was calculated as the standard deviation of sleep variables. Standard deviations of sleep duration, sleep efficiency, sleep quality, and mid-sleep time were obtained. Glycaemic control was measured by haemoglobin A1C. Paired t test and multiple regression analysis were used. RESULTS: Overall, there were no differences in sleep parameters between weekdays and weekends. Participants slept 20 min more over the weekends than during weekdays. The mid-sleep time during weekends was about 35 min later than during weekdays. Intra-individual variability of sleep duration and mid-sleep ranged from 27.6-167.4 min and 13-137 min, respectively. Controlling for covariates (e.g., distress, symptoms, and self-care), larger variability in sleep duration, and mid-sleep were significantly related to higher A1C levels. CONCLUSION: Diabetes educators are recommended to include the assessment of intra-individual variability in sleep. Maintaining a regular sleep habit (e.g., sleep duration and sleep timing) should be highlighted during patient education. IMPACT: Intra-individual variability in sleep is an alternative dimension for sleep assessment. This study examined whether intra-individual variability in sleep was related to glycaemic control in an older sample of type 2 diabetes patients using a sleep diary across 8 days. This sample had a similar sleep pattern during weekdays and weekends. Larger intra-individual variabilities in sleep duration and mid-sleep time were independently related to worse glycaemic control. Diabetes patients are recommended to maintain a regular sleep routine.

Relationship between sleep disturbance and self-care in adults with type 2 diabetes.

AIMS: Type 2 diabetes (T2D) is a metabolic disorder requiring intensive self-care to maintain optimal glycemic control. Sleep disturbance is common in T2D patients and likely impairs glycemic control. Our aim was to examine the relationship between sleep disturbance and self-care in adults with T2D. METHODS: This study used a correlational design. Sixty-four adults with T2D were recruited. Validated instruments were used to measure self-care, subjective sleep disturbance, and covariates (e.g., diabetes distress, self-efficacy, fatigue, and daytime sleepiness). Over an 8-day period, the ActiGraph-wGT3X was used to measure objective sleep outcomes (e.g., total sleep time and number of awakenings). Bivariate correlation and multiple linear regression analyses were conducted. RESULTS: The mean age of the participants was 60.6 (SD 6.8) years (range 50-78), and 51.6% were women. Controlling for covariates, subjective sleep disturbance (ß = - 0.26), diabetes distress (ß = - 0.39), and daytime sleepiness (ß = - 0.21) were strong predictors of diabetes self-care (R2 = 0.51, p < 0.001). When objective sleep parameters were used, the number of awakenings (ß = - 0.23) also predicted self-care along with diabetes distress, fatigue, and daytime sleepiness (R2 = 0.57, p < 0.001). CONCLUSIONS: Subjective sleep disturbance and frequent nocturnal awakenings are associated with worse diabetes self-care in adults with T2D. Healthcare providers are recommended to include comprehensive sleep assessment at every clinical visit. Diabetes educators may consider including sleep-related education in their diabetes self-management classes and/or counseling sessions.

Sleep disturbance in people with diabetes: A concept analysis.

AIMS AND OBJECTIVES: To clarify the meaning of sleep disturbance in people with diabetes and examine its antecedents, attributes and consequences through concept analysis. BACKGROUND: Sleep is crucial for health, and people with diabetes are frequently beset with disturbances in their sleep. The concept of sleep disturbance in people with diabetes has not been clearly defined. The inconsistent use of sleep disturbance has created confusion and impeded our understanding of the sleep in people with diabetes. This analysis will provide a conceptual foundation of sleep disturbance in diabetes, thereby facilitating more effective means for assessment and treatment. DESIGN: Concept analysis. METHODS: A systematic search without time restriction on the publication year was carried out using PubMed, CINAHL, PsycINFO, Web of Science and ProQuest Dissertations and Theses. Rodgers's method of evolutionary concept analysis guided the analysis. Inductive thematic analysis was conducted to identify the attributes, antecedents and consequences. RESULTS: Based on the 26 eligible studies, two major attributes are that sleep disturbance is a symptom and is characterised by impaired sleep quality and/or abnormal sleep duration. Two antecedents are diabetes-related physiological change and psychological well-being. Sleep disturbance can result in impaired daytime functioning, glucose regulation and quality of life. CONCLUSIONS: Defining the concept of sleep disturbance in people with diabetes facilitates consistent use and effective communication in both practice and research. Sleep disturbance in people with diabetes is a complex symptom that includes impaired sleep quality and/or abnormal sleep duration. This paper contributes to the current knowledge of sleep in people with diabetes. Future research on antecedents and consequences of sleep disturbance is necessary for further clarifications. RELEVANCE TO CLINICAL PRACTICE: Findings from this paper underscore the need for nursing education, clinical assessment and effective management of sleep disturbance in people with diabetes.

Adaptation of the Pittsburgh Sleep Quality Index in Chinese adults with type 2 diabetes.

BACKGROUND: Sleep disturbance is a major health issue in people with type 2 diabetes (T2DM). The Pittsburgh Sleep Quality Index (PSQI) has been the most widely used instrument to measure subjective sleep disturbance. Nevertheless, its factor structure in the context of T2DM has not been examined. The purpose of the study is to evaluate the factor structure of the PSQI in Chinese adults with T2DM and thereby to facilitate its use in clinical practice and research. METHODS: The PSQI (Chinese version) was administered to 240 patients with T2DM. Confirmatory factor analysis was conducted to examine the one-factor, adapted one-factor by removing the component "use of sleep medication", and the three-factor structure of the PSQI. Goodness-of-fit indices were used to evaluate the fit of the model. Construct validity of the resultant model was further examined using contrasted groups. Cronbach's α of the resultant model was obtained to evaluate its internal consistency. RESULTS: The three-factor model proposed by Cole et al. did not fit the sleep data. Confirmatory factor analysis supported the adapted one-factor model with the PSQI global score as an indicator of overall sleep quality, and the goodness-of-fit indices for the adapted model were better compared to the original one-factor model. As expected, women, older adults, and patients with poor glycemic control had higher adapted PSQI global score (p < 0.01). Cronbach's α of the adapted PSQI was 0.78. CONCLUSION: The adapted PSQI was similar to the original PSQI in that only the component "use of sleep medication" was removed from the original scale and the one-factor scoring worked better. In contrast, the three-factor model has limited usefulness in this population.

Actigraphy scoring for sleep outcome measures in chronic obstructive pulmonary disease.

BACKGROUND: Actigraphy is commonly used to measure sleep outcomes so that sleep can be measured conveniently at home over multiple nights. Actigraphy has been validated in people with sleep disturbances; however, the validity of scoring settings in people with chronic medical illnesses such as chronic obstructive pulmonary disease remains unclear. The purpose of this secondary analysis was to compare actigraphy-customized scoring settings with polysomnography (PSG) for the measurement of sleep outcomes in people with chronic obstructive pulmonary disease who have insomnia. METHODS: Participants underwent overnight sleep assessment simultaneously by PSG and actigraphy at the University of Illinois of Chicago Sleep Science Center. Fifty participants (35 men and 15 women) with mild-to-severe chronic obstructive pulmonary disease and co-existing insomnia were included in the analysis. Sleep onset latency, total sleep time (TST), wake after sleep onset (WASO), and sleep efficiency (SE) were calculated independently from data derived from PSG and actigraphy. Actigraphy sleep outcome scores obtained at the default setting and several customized actigraphy settings were compared to the scored PSG results. RESULTS: Although no single setting was optimal for all sleep outcomes, the combination of 10 consecutive immobile minutes for sleep onset or end and an activity threshold of 10 worked well. Actigraphy overestimated TST and SE and underestimated WASO, but there was no difference in variance between PSG and actigraphy in TST and SE when the 10 × 10 combination was used. As the average TST and SE increased, the agreement between PSG and actigraphy appeared to increase, and as the average WASO decreased, the agreement between PSG and actigraphy appeared to increase. CONCLUSION: Results support the conclusion that the default actigraphy settings may not be optimal for people with chronic obstructive pulmonary disease and co-existing insomnia.

The relationship between sleep disturbance and glycaemic control in adults with type 2 diabetes: An integrative review.

AIMS AND OBJECTIVES: To explore and synthesise current research to assess the state of science about the relationship between sleep disturbance and glycaemic control in adults with type 2 diabetes. BACKGROUND: Sleep disturbance is suggested a risk factor for type 2 diabetes. Diabetes alone is a leading cause of death, but when coupled with sleep disturbance poses additional health risks. However, little is known about the relationship between sleep disturbance and glycaemic control in people with overt diabetes. DESIGN: An integrative review. METHODS: Whittemore and Knafl's methodology guided this integrative review. Original studies published before October 2016 were identified through systematic searches of seven databases using terms: diabet*; sleep or insomnia; glycem* or glucose or A1C or HbA1c or sugar; and their combinations. The matrix and narrative synthesis were employed to organise and synthesise the findings, respectively. The Crowe Critical Appraisal Tool was used to evaluate the study quality. RESULTS: A total of 26 studies were identified; 17 of which reported significant relationships between sleep measures and glycaemic control. In 13 studies, sleep duration was associated with glycaemic control in both linear (n = 2) and nonlinear (n = 3) relationships; however, eight studies reported no significant relationships. Sleep quality was significantly related to glycaemic control in 14 of 22 studies. Nine studies found no relationship between any measure of sleep and glycaemic control. CONCLUSIONS: There is strong evidence supporting the relationship between sleep quality and glycaemic control but further examination of the relationship between sleep duration and glycaemic control is warranted. Sleep disturbance, particularly impaired sleep quality, could potentially influence glycaemic control in adults with type 2 diabetes. RELEVANCE TO CLINICAL PRACTICE: Nurses who treat patients with diabetes should include assessment of sleep, education for healthy sleep, and referral for treatment of sleep disturbance in order to maximise the potential for achieving good glycaemic control.

Subjective and objective sleep quality modulate emotion regulatory brain function in anxiety and depression.

BACKGROUND: Disturbances in emotion regulation and sleep are shared across anxiety and mood disorders. Poor sleep has been shown to impair cognitive processes which may undermine cognitive regulatory function. However, it remains unknown if sleep quality impacts regulatory mechanisms in clinical anxiety and depression. METHODS: During fMRI, 78 patients with social anxiety disorder, generalized anxiety disorder, and/or major depressive disorder completed a validated emotion regulation task, which involved reappraisal (i.e., decrease negative affect) as compared to viewing aversive images. Sleep quality was assessed with the Pittsburgh Sleep Quality Index (PSQI) and actigraphy, representing subjective and objective measures of sleep, respectively. Regression analysis was conducted with the PSQI and actigraphy sleep efficiency, duration, and wake-after sleep onset variables. RESULTS: PSQI and actigraphy measures indicated that the majority of patients experienced problematic sleep, however, subjective and objective sleep measures were uncorrelated. Whole-brain voxel-wise regression analysis, controlling for diagnosis, revealed worse self-reported sleep corresponded with less reappraise-related activation in the dorsal anterior cingulate cortex (DACC). The same analysis performed with actigraphy data showed less sleep efficiency positively corresponded with DACC activation. Post-hoc stepwise regression analysis showed these sleep measures predicted DACC activity whereas anxiety and depression symptoms did not. CONCLUSIONS: Individual differences in self-perceived and objective sleep quality differentially modulated the DACC, which is implicated in cognitive reappraisal. Findings suggest neural correlates of emotion regulation tracks different aspects of the sleep experience. Results also indicate sleep disturbance may play a role in the emotion dysregulation observed in anxiety and depressive disorders.

Efficacy and mechanisms of behavioral therapy components for insomnia coexisting with chronic obstructive pulmonary disease: study protocol for a randomized controlled trial.

BACKGROUND: Difficulty falling asleep, staying asleep or poor-quality sleep (insomnia) is common in people with chronic obstructive pulmonary disease (COPD). Insomnia is related to greater mortality and morbidity, with four times the risk of mortality for sleep times below 300 min. However, insomnia medications are used with caution in COPD due to their potential adverse effects. While cognitive behavioral therapy for insomnia (CBT-I) is effective for people with primary insomnia and people with other chronic illnesses, the efficacy and mechanisms of action of such a therapy are yet unclear in people with both insomnia and COPD. The purpose of this study is to rigorously test the efficacy of two components of insomnia therapy - CBT-I and COPD education (COPD-ED) - in people with coexisting insomnia and COPD, and to identify mechanisms responsible for therapy outcomes. The rationale for the proposed study is that once the efficacy and mechanisms of CBT-I and COPD-ED are known, new and innovative approaches for insomnia coexisting with COPD can be developed to non-pharmacologically minimize insomnia and fatigue, thereby leading to longer, higher-quality and more productive lives for people with COPD, and reduced societal cost due to the effects of insomnia. METHODS: We are conducting a randomized, controlled, parallel-group (N = 35 each group) comparison of CBT-I, COPD-ED and non-COPD, non-sleep health education Attention Control (AC) using a highly efficient four-group design. Arm 1 comprises 6 weekly sessions of CBT-I + AC; Arm 2 = 6 weekly sessions of COPD-ED + AC; Arm 3 = 6 weekly sessions of CBT-I + COPD-ED; and Arm 4 = 6 weekly sessions of AC. This design will allow completion of the following specific aims: (1) to determine the efficacy of individual treatment components, CBT-I and COPD-ED, on insomnia and fatigue, (2) to define the mechanistic contributors to the outcomes after CBT-I and COPD-ED. DISCUSSION: The research is innovative because it represents a new and substantive departure from the usual insomnia therapy, namely by testing traditional CBT-I with education to enhance outcomes. The work proposed in aims 1 and 2 will provide systematic evidence of the efficacy and mechanisms of components of a novel approach to insomnia comorbid with COPD. Such results are highly likely to provide new approaches for preventive and therapeutic interventions for insomnia and fatigue in COPD. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT01973647 . Registered on 22 October 2013.