Behavioral Sleep Medicine最新文献

Objectives: Cognitive Behavioral Therapy for Insomnia (CBTi) is a first-line treatment for a prevalent and impairing disorder. Digital CBTi programs increase access to internet-based self-directed care. However, the clinical effect of offering different forms of CBTi in a healthcare setting is not clearly understood. This study examines treatment engagement and clinical outcomes for individuals referred to either digital or provider-led CBTi.

Methods: Over two years, providers at a Veterans Health Administration (VHA) facility referred patients to digital CBTi with telephone coaching support or traditional provider-led CBTi. Characteristics of those referred, proportions engaging in and completing treatment, as well as insomnia severity were compared among those referred to each format.

Results: Providers referred 139 individuals to digital CBTi, 340 to provider-led CBTi, and 14 to both formats. Individuals referred to digital CBTi were older with less severe insomnia. Despite lower levels of program engagement and completion in the digital CBTi cohort, measures of insomnia symptom change were similar between the groups.

Conclusions: This is the first study to evaluate both digital and provider-led evidence-based treatments for insomnia disorder simultaneously deployed in a healthcare setting. While engagement in digital CBTi lagged that for provider-led CBTi, offering both formats may expand access to different groups, while fostering similar outcomes.

Objectives: Insomnia and chronic pain are common symptoms in people with HIV. Poor sleep has been associated with chronic pain. While cognitive behavioral therapy for insomnia improves insomnia in clinical populations, there are barriers to people with HIV accessing treatment including the lack of trained providers and lengthy sessions. Only one study has examined the efficacy of brief behavioral treatment for insomnia (BBTI) in people with HIV. This study examined BBTI effects on sleep and pain in people with HIV.

Methods: Ten adults with HIV and chronic pain completed a 4-week, telephone-delivered BBTI treatment. A control group (n = 10) completed a brief mindfulness training (BMT). The Insomnia Severity Index and Brief Pain Inventory were used to assess insomnia severity and pain outcomes, respectively.

Results: There was a significant interaction between intervention and time on insomnia severity, F (2,14) = 5.7, p = .02, partial η² = 0.45). The BBTI group demonstrated significant improvements in insomnia severity from pre- to post-intervention (p < .001) and from pre-intervention to one-month post-intervention (p = .001) compared to the BMT group. There was a significant interaction between intervention and time on pain interference, F (1,18) = 4.9, p = .02, partial η² = 0.27). The BBTI group demonstrated a significant decrease in pain interference from pre- to post-intervention (p < .001) compared to the BMT group.

Conclusions: This pilot study demonstrated that BBTI improved insomnia in people with HIV for up to one-month post-treatment. Novel preliminary evidence suggests that BBTI may also improve pain outcomes in people with HIV.

Background: Athletes display a high prevalence of undesired sleep characteristics that may affect both performance and wellbeing.

Objectives: This scoping review aimed to identify and map the existing evidence of behavioral sleep interventions and their effects on sleep outcomes in athletes, and retrospectively code the behavior change techniques (BCTs) implemented using the Behavior Change Technique Taxonomy (BCTTv1).

Methods: Conducted following the JBI methodology for scoping reviews, four online databases were used to identify prospective interventions with at least one behavioral component in competitive athletes, and reporting a sleep outcome pre- and post-intervention.

Results: Thirty-three studies met the inclusion criteria, encompassing 892 participants with a median age of 23. Five intervention categories were identified (education, mind-body practices, direct, multi-component, and other), with each demonstrating mixed efficacy but the potential to improve sleep outcomes. The BCTs varied in type and frequency between each category, with only 18 unique BCTs identified across all studies.

Conclusions: The varied efficacy of previous studies at improving sleep outcomes may be attributed to the lack of behavior change theory applied during intervention development. Designing interventions following a targeted specification of the behavioral problem, and the integration of corresponding BCTs should be considered in future research.

Objectives: The association and overlap between different forms of negative thought processes in insomnia is largely unknown. The purpose of the current investigation was to examine conceptual overlap between three insomnia-specific negative thought processes; catastrophizing, worry, and rumination, identify the underlying factors, and explore their associations with insomnia symptoms.

Methods: A total of 360 students completed three insomnia-related negative thought process scales (Catastrophic Thoughts about Insomnia Scale, Anxiety and Preoccupation about Sleep Questionnaire, Daytime Insomnia Symptom Response Scale) and two insomnia symptoms measures (the Insomnia Severity Index and Sleep Condition Indicator).

Results: The three scales and their subscales displayed acceptable reliabilities. Further, confirmatory factor analysis was supportive of the notion of catastrophizing, worry, and rumination measures as distinct. The catastrophizing and worry constructs were significantly associated with insomnia symptoms, but the rumination factor was not.

Conclusions: The findings indicate that catastrophizing, worry, and rumination might be viewed as distinct constructs. Although more research is warranted on the topic of conceptual overlap, the current results might have implications for the development of models of insomnia, clinical research, and practice.

Objectives: Study objectives were to: 1) iteratively adapt the Transdiagnostic Sleep and Circadian Intervention (TranS-C) for patients in cardiac rehabilitation (CR; Phase 1) and 2) conduct a preliminary single group pre-post intervention test to a) evaluate procedural feasibility and intervention acceptability and b) to explore preliminary pre-post changes in self-reported sleep, disability, and health-related quality of life (HRQoL; Phase 2).

Method: In Phase 1, 12 individuals in CR and six content experts completed interviews to inform TranS-C adaptations. Interviews were analyzed using rapid qualitative analysis. In Phase 2, eight individuals in CR completed a baseline assessment, the adapted TranS-C intervention, and a post-intervention assessment. Intervention acceptability was assessed via questionnaire and interview. Sleep, disability, and HRQoL outcomes were assessed using questionnaires. Descriptive statistics were calculated for quantitative measures; interviews were analyzed using rapid qualitative analysis.

Results: Phase 1 participants were receptive to the premise and structure of the adapted intervention. In Phase 2, participants endorsed positive attitudes toward the intervention. Seven of eight participants demonstrated improvements in sleep outcomes. Disability and HRQoL results did not consistently improve.

Conclusion: The adapted TranS-C intervention was acceptable to CR patients and could yield improvements in subjective sleep outcomes. Larger-scale testing in CR is warranted.

Background: Poor sleep quality is a serious concern among diabetes mellitus patients, adversely affecting glycemic management and the prognosis of diabetic patients. Therefore, the main aim of this study was to estimate the overall pooled prevalence of poor sleep quality and its associated factors among diabetic patients in Sub-Saharan Africa.

Methods: Several search databases were employed to retrieve the eligible studies. A standardized data extraction format was used to extract the data, and the analysis was conducted using STATA version 14. To determine heterogeneity, the I² test was conducted, and both the funnel plot and Egger's regression test were used to assess the publication bias. A random effects model meta-analysis was performed to estimate the overall prevalence and associated factors of poor sleep quality.

Results: In the current meta-analysis, a total of 11 studies with 3,766 study participants were included. The overall pooled prevalence of poor sleep quality among diabetic patients was 53.22% (95% CI: 36.26, 70.19). Poor sleep quality was significantly associated with longer duration of diabetes (OR = 2.94, 95% CI: 1.85, 4.67), poor glycemic control (OR = 2.24, 95% CI: 1.51, 3.32), depression (OR = 4.09, 95% CI: 2.07, 8.05) and comorbidity (OR = 1.94, 95% CI: 1.31, 2.88).

Conclusion: In this study, more than half of diabetic patients in Sub-Saharan Africa had poor sleep quality. Therefore, healthcare providers should give more attention to sleep disorders when screening diabetic patients to improve their poor sleep quality.

Introduction: Sleep difficulties are common amongst university students and are associated with mental illness and reduced wellbeing. This paper reports a pilot study of Cognitive Behavior Therapy for Insomnia (CBT-I) tailored specifically for university students. It was hypothesized that the intervention would be feasible, acceptable, and improve sleep, anxiety, depression, and wellbeing.

Method: Students aged 18-25 participated via videoconferencing small group sessions of CBT-I. Feasibility was assessed through sign-up, consent rates, and study attrition, while acceptability was assessed using intervention adherence and a measure of intervention acceptability. Outcome measures included sleep quality, insomnia, suicidal ideation, symptoms of depression, anxiety, and wellbeing, and were assessed at baseline and post-intervention.

Results: Participants were 44 students (M = 21.8 years). Feasibility was confirmed by sign-up and consent rates (80% of the students who expressed interest agreed to participate); overall study attrition was 48%, comprised largely of participants not commencing treatment (27%). Participants perceived the program as effective and logical and made use of the skills suggested. In terms of adherence, 82% of the participants who engaged with treatment attended two or more sessions and 63% attended all four sessions; and 92% were either very satisfied or mostly satisfied. Sleep quality, insomnia, depression, anxiety, and wellbeing all significantly improved from pre- to post-intervention.

Discussion: There was evidence that the CBT-I intervention tailored for university students was acceptable to participants and could be feasible to deliver. Sleep quality, depression, anxiety, and wellbeing improved significantly. These findings suggest that the intervention is suitable for evaluation in a fully powered randomized controlled trial.

Objectives: Nightmares affect up to 12% of the population and are often comorbid with psychiatric disorders like anxiety and depression. Limited research has examined their influence on nightmare frequency. This study investigates the relationship between depression and trait-anxiety symptoms on incident nightmare frequency at follow-up.

Method: Cross-sectional and longitudinal analyses were conducted on 758 Wisconsin Sleep Cohort participants. Trait anxiety and depression symptom severity were measured using the State Trait Anxiety Inventory and Zung Depression Scale. Ordinal regression determined nightmare frequency cutoffs based on anxiety and depression severity. Cross-sectional associations were assessed with Spearman and Kruskal-Wallis tests. Longitudinal associations were analyzed using adjusted binomial regression of binary nightmare frequency (low: <4/month, high: >5/month) against clinical cutoffs of trait anxiety and depression.

Results: Adjusted models indicated a small correlation between baseline nightmare frequency and trait anxiety (β = 0.01, p = .010) and depression symptoms (β = 0.01, p = .005). High baseline trait-anxiety symptoms were associated with frequent nightmares at follow-up (OR = 3.75, CI95% [1.306,10.793], p < .014), but depression symptoms were not (OR = 1.35, CI95%[0.399, 4.587], p = .627).

Conclusions: Our findings suggest that high trait-anxiety symptoms are associated with increased incident nightmare frequency, when adjusted for depression. However, high depression symptoms were not associated with an increase in nightmare frequency when adjusted for trait-anxiety.

Objectives: This study aimed to investigate the factors affecting patient perceptions of sleep concerns and the need for treatment to understand and enable effective management.

Methods: This cross-sectional study analyzed data collected between November 2018 and October 2022 at the sleep clinic of a tertiary hospital. Adults aged > 19 years who completed sleep questionnaires and polysomnography (PSG) were included. Logistic regression models were used to assess the associations between demographic, clinical, and social factors, sleep questionnaire responses, and PSG data with self-reported sleep concerns (n = 3,457) and perceived need for treatment(n = 3,135).

Results: Insomnia-related symptoms affect both sleep concerns and need for treatment, and sleep maintenance is the most influential factor in both sleep concerns (odds ratio[OR] = 19.74, 95% confidence interval[CI] 6.17-63.20) and need for treatment (OR = 3.84, 95% CI 2.19-6.73). Young age (OR = 2.66, 95% CI 1.38-5.12), employment status, and daily life dysfunction were determinants of treatment readiness. None of the PSG parameters showed an independent association with sleep concerns or need for treatment.

Conclusions: Sleep maintenance problems had the most profound effect on sleep concerns and the need for treatment. Social needs are key factors in seeking treatment. A discrepancy has been noted between the effects of subjective and objective factors on sleep concerns and the need for treatment; therefore, patient management should pay attention to subjective sleep complaints.

Objectives: A preference for eveningness - one's perception of being most alert later in the day - is associated with negative developmental outcomes in adolescence. Sleep onset consistency is protective against such outcomes. Toward a more nuanced understanding of relations between sleep-wake processes and adolescent development, we examined weeknight sleep onset consistency as a moderator of relations between eveningness and multiple indicators of development.

Method: A sample of 272 high-school students (M_age = 17 years, SD = 9.12 months; n = 133 identified as female; 41% non-Hispanic Black/African-American, 59% non-Hispanic White/European-American) participated in a week of at-home sleep actigraphy assessment in 2017-2018. Adolescents reported their morningness - eveningness, internalizing symptoms (depression, anxiety), positive affect (optimism and subjective happiness), and physical health, and mothers reported on youths' behavior problems. Relations were examined between morningness - eveningness and each indicator of development; sleep onset consistency was examined as a moderator of these associations.

Results: On average, adolescents with a preference for eveningness had higher levels of externalizing behaviors and internalizing symptoms and lower levels of positive affect and physical health compared to peers with a preference for morningness (Bs = -0.27*-0.12***). Each association was moderated by weeknight sleep onset consistency. Across all indicators of development, evening-preferring youth with more consistent weeknight sleep onset had 0.49-0.72 SD better outcomes on average than evening-preferring youth with less consistent weeknight sleep onset.

Conclusions: Falling asleep at roughly the same time each night can protect adolescent night owls from behavior problems and internalizing symptoms and can promote their positive affect and physical health.