Predictors of adherence to a brief behavioral insomnia intervention: daily process analysis

Randomized controlled trial of cognitive refocusing versus stimulus control treatment for college insomnia: feasibility of a brief, electronic-based, and peer-led approach

OBJECTIVE

Performance of Cognitive Refocusing Treatment for Insomnia (CRT-I) relative to stimulus control treatment (SCT) remains unknown among college students. This pilot trial compared single-session, electronic-based, peer-led CRT-I to SCT, and as well as awareness-based (AC) and no-treatment (NTC) controls.

PARTICIPANTS

College students (N = 82; Mage=18.59 [SD = 0.78]; 58% female; 61% White; 16% Hispanic) with insomnia symptoms were randomly assigned to CRT-I (n = 12), SCT (n = 14), and AC (n = 14) conditions, or non-randomly recruited to NTC (n = 42).

METHODS

All participants completed baseline and one-month follow-up surveys, and reported daily task enactment (except NTC).

RESULTS

Feasibility ratings were comparable across conditions. Within-group treatment effects revealed greater improvements in (a) insomnia symptom severity among CRT-I (d = 1.13) and SCT (d = 1.66) groups relative to AC (d = 0.90) and (b) pre-sleep cognitive arousal among CRT-I (d = 0.94) and SCT (d = 1.42) groups relative to AC (d = 0.75).

CONCLUSIONS

Brief, electronic-based, peer-led CRT-I and SCT interventions appear feasible and potentially efficacious for college insomnia.

Factors influencing the effectiveness of digital cognitive behavioural therapy for chronic insomnia in clinical practice

Digital cognitive behavioural therapy for chronic insomnia (D-CBT-I) has been shown to be as efficacious as traditional CBT-I. However, not all patients achieve insomnia remission after treatment. We explored the factors influencing the effectiveness of D-CBT-I in a clinical practice. A total of 414 Asian chronic insomniacs were studied during a 6 week D-CBT-I intervention. All patients were assessed at baseline and posttreatment and were determined to be remitters or non-remitters, responders or non-responders by posttreatment criteria; Insomnia Severity Index (ISI <8) or ISI reduction ≥8, to examine whether remission and response status were associated with patient baseline characteristics. The average baseline ISI score in all subjects was 16.29 points. At posttreatment, 192 (46.4%) patients achieved ISI remission and 218 (52.7%) patients demonstrated an ISI response. An increased baseline early morning awakening time and ISI score were independently associated with a lower odds for remission (OR, 0.995 and 0.991, respectively). Increased baseline Patients Health Questionnaire-9 score was independently associated with higher odds for response (OR, 1.114). Our results suggest that D-CBT-I can be recommended as the first-line treatment for chronic insomnia, particularly in insomniacs with milder insomnia symptoms and more severe depressive symptoms. Meanwhile, the effectiveness of D-CBT-I was adversely affected by longer early morning awakening time and higher insomnia severity at pretreatment, which may be improved by more intense intervention and greater therapeutic support or by traditional CBT-I.

Predictors of adherence to a brief sleep extension protocol in emerging adults

OBJECTIVES

This study examined how mental health symptoms (i.e., depression, anxiety, stress) and baseline sleep characteristics (i.e., sleep quality and levels of daytime sleepiness) predicted adherence to and initial success of a brief sleep extension research protocol in emerging adults.

METHODS

184 emerging adults (ages 18-25; M = 20.96, SD = 2.04) were asked to extend their nightly sleep opportunity to 8 hr for 1 week and to anchor bedtime and waketime. Sleep outcomes (adherence and initial protocol success) were tracked using actigraphy. Baseline sleep quality, daytime sleepiness, depression, anxiety, and stress were assessed using self-report questionnaires.

RESULTS

Poorer baseline sleep quality predicted better adherence to the protocol (p = .002). Other baseline sleep characteristics and mental health were not predictive of adherence (ps>.50). Lower levels of baseline daytime sleepiness approached significance in predicting greater initial protocol success following the protocol (p = .05). Baseline sleep quality and mental health did not predict initial protocol success (ps > 0.34).

CONCLUSIONS

Mental health symptoms did not significantly predict adherence to or the success of a sleep extension protocol. Surprisingly, individuals with poor baseline sleep quality were more likely to adhere to the extension protocol, perhaps suggesting heightened motivation for change or increased risk for sleep problems. This research provides valuable insight into factors that predict adherence to sleep extension protocols in emerging adults.

The comparison of brief, online mindfulness and relaxation interventions to reduce stress and improve sleep-related outcomes in college students

OBJECTIVE

The current study aimed to examine whether brief online stress reduction exercises supplemented with sleep improvement strategies would reduce stress, arousal, and sleep difficulties in college students who were not required to use the sleep improvement strategies for participation.

PARTICIPANTS

A sample of 114 college student participants were enrolled because they were experiencing stress and/or wanted to improve their sleep.

METHODS

Participants were randomized into an abbreviated progressive muscle relaxation, a mindful breathing, or a self-monitoring control condition for the 4-week intervention. Measures of physical relaxation, mindfulness, perceived stress, pre-sleep arousal, and insomnia symptom severity were collected.

RESULTS

The APMR group improved on five of the six dependent measures and was significantly different than the SM group at posttest, but not different than the MB group.

CONCLUSION

The results suggests promise for brief, online, scaled back stress reduction interventions to reduce stress, arousal, and sleep difficulties in college students.

Effect of daily light exposure on sleep in polar regions: A meta-analysis

Although studies have shown that light affects sleep in polar populations, the sample size of most studies is small. This meta-analysis provides the first systematic review of the effects of summer glare, spring and fall moderate daylight, and artificial lighting on general sleep problems (sleep duration, efficiency, and delay). This analysis included 18 studies involving 986 participants. We calculated the random effect size via an evidence-based meta-analysis that analysed the effect of bright/auxiliary light on sleep and the effect of three different types of light on sleep compared with conventional light. There was no significant correlation between specific light types and sleep duration. Intense summer light has a negative effect on sleep time and efficiency. Moderate, natural light in spring and autumn effectively delayed sleep but could not improve sleep efficiency. For artificial fill light, neither blue light nor enhanced white light has been found to have a significant effect. In summary, summer light has a detrimental effect on sleep in polar populations, and moderate natural light may be superior to conventional light. However, specific strategies to improve sleep and artificial lighting in polar populations must be explored further.

Focus Groups to Inform User-Centered Development of an eHealth Sleep Intervention for Adolescents: Perspectives of Youth with Insomnia Symptoms, with and without Pain

INTRODUCTION

Adolescence is a developmental stage that often coincides with increasing sleep problems. Focus groups were conducted to inform development of an adolescent eHealth sleep intervention by exploring opinions about (1) healthy sleep practices, and (2) using an eHealth intervention.

METHODS

Adolescents 14-18 years old experiencing symptoms of insomnia based on the Insomnia Sleep Index, with and without recurrent pain, and associated stakeholders (i.e., parents, school personnel, and health care providers) were recruited. Across six online focus groups, 24 adolescents with insomnia participated (14 pain-free, 10 with recurrent pain; 10 male, 14 female). Across seven online focus groups, 22 stakeholders participated, including 8 parents, 9 school professionals, and 5 health care providers (10 male, 8 female). Using a content analysis, subthemes were induced from transcripts.

RESULTS

Most healthy sleep practices were perceived as reasonable for adolescents to implement, except avoiding technology before bed and using bedrooms only for sleep. Three primary barriers to sleep practices were identified, including a variable schedule due to lifestyle factors, technology at night, and academics interfering with sleep, and only in the pain group, the barrier related to pain was identified. Content addressing adolescent-specific barriers was considered important to include in a sleep intervention. Desirable eHealth components included interactive features, videos, audio, and pictures to present information. A common barrier to using an eHealth sleep intervention was the program feeling too academic, with accessibility of the sleep information and strategies as a common facilitator.

CONCLUSIONS

This research represents the first step in a user-centered approach to developing an adolescent eHealth sleep intervention. These results provide insights from a range of perspectives on guiding adolescents to follow healthy sleep practices. Next, these findings will be integrated in the development of an eHealth intervention for adolescents with and without recurrent pain.

Adherence to behavioral recommendations of cognitive behavioral therapy for insomnia predicts medication use after a structured medication taper

STUDY OBJECTIVES

Cognitive behavioral therapy for insomnia (CBTI) has been paired with supervised medication tapering to help hypnotic-dependent individuals discontinue their hypnotics. This study examined the hypothesis that higher participant adherence to behavioral recommendations of CBTI will predict lower odds of using sleep medications 3 months after completion of a combined CBTI/sleep medication tapering protocol.

METHODS

Fifty-eight individuals who used sedative hypnotics completed four CBTI sessions followed by sleep medication tapering. Logistic regression was used to examine the association of stability of time in bed and stability of rise time (measured as the within-person standard deviation) at completion of CBTI with two outcomes at 3-month follow-up: use of sedative hypnotics and use of any medication/substance for sleep.

RESULTS

Participants with more stability in their rise time after CBTI than at baseline (ie, a decrease in their within-person standard deviation) had 69.5% lower odds of using sedative hypnotics at follow-up (odds ratio = 0.305, 95% confidence interval = 0.095-0.979, P = .046) than individuals who had no change or a decrease in the stability of their rise time. Results were similar for time in bed: participants with more stability in their time in bed after CBTI than at baseline had 83.2% lower odds of using sedative hypnotics (odds ratio = 0.168, 95% confidence interval = 0.049-0.580, P = .005). Increase in stability of rise time and stability of time in bed was also associated with reduced odds of using any medication/substance for sleep at follow-up.

CONCLUSIONS

Participants who implement behavioral recommendations of CBTI appear to have more success with discontinuing use of sleep medications.

CLINICAL TRIAL REGISTRATION

Registry: ClinicalTrials.gov; Name: The Role of Tapering Pace and Selected Traits on Hypnotic Discontinuation; URL: https://clinicaltrials.gov/ct2/show/NCT02831894; Identifier: NCT02831894.

CITATION

Edinger JD, Wamboldt FS, Johnson RL, et al. Adherence to behavioral recommendations of cognitive behavioral therapy for insomnia predicts medication use after a structured medication taper. J Clin Sleep Med. 2023;19(8):1495-1503.

Recommendations to bolster adherence in cognitive behavioral therapy for insomnia: a self-efficacy approach

The safest and most effective treatment for chronic insomnia is Cognitive Behavioural Therapy for Insomnia (CBT-I). People sometimes struggle to adhere to, or follow the steps, involved in CBT-I because they are challenging (i.e., restricting time in bed to induce sleepiness, getting out of bed when not sleeping). These steps are based on sleep science and research shows that more closely adhering to them relates to better sleep improvements. One way that clinicians can help patients completing CBT-I improve their adherence to the difficult treatment steps is to promote their self-efficacy, or belief that they can effectively complete the treatment steps. Inspired by tried-and-true health promotion techniques rooted in Social Cognitive Theory, this paper describes concrete recommendations that clinicians can use to improve their patients’ self-efficacy when completing CBT-I. These recommendations include suggestions such as setting positive treatment expectations, discussing with patients how to set up for success when completing the treatment steps at home, and how to work with potential barriers to treatment. If clinicians can help boost patients’ self-efficacy, they may be able to carry out the treatment steps of CBT-I more effectively, and ultimately experience more benefits.

Self-efficacy in Insomnia Symptom Management after Digital CBT-I Mediates Insomnia Severity during the COVID-19 Pandemic

STUDY OBJECTIVES

Digital cognitive behavioral therapy for insomnia (dCBT-I) can reduce acute insomnia and depressive symptoms and prevent symptom recurrence. The current study evaluated self-efficacy in managing insomnia symptoms as a potential mediator of the relationship between prior dCBT-I and subsequent insomnia and depressive symptoms assessed during the coronavirus 2019 (COVID-19) pandemic.

METHOD

Participants were 208 adults who completed a randomized controlled trial of dCBT-I versus sleep education in 2016-2017 and also completed self-report assessments of insomnia, depression, and self-efficacy in managing insomnia symptoms. Data were collected in May 2020, five weeks into state-wide COVID-19 stay-at-home orders. Regression and mediation analyses were used to evaluate the extent to which self-efficacy accounted for the relationship between treatment condition and improvement in insomnia and depressive symptoms from pre-treatment to COVID-19 follow-up.

RESULTS

Prior dCBT-I predicted greater self-efficacy in managing insomnia symptoms. Self-efficacy accounted for 49% and 67% of the protective effect of dCBT-I against COVID-era insomnia and depressive symptoms, respectively.

CONCLUSIONS

This study affirms the importance of self-efficacy as a key intervention outcome and potential mechanism by which dCBT-I predicts future sleep and mental health. Future studies that evaluate the role of self-efficacy in treatment effectiveness and resilience can provide additional clues about how to optimize dCBT-I for maximum benefit to public health.

Dysregulated Diurnal Cortisol Pattern and Heightened Night-Time Cortisol in Individuals with Bipolar Disorder

INTRODUCTION

Hypothalamic-pituitary-adrenal (HPA) axis dysregulation may contribute to the symptom burden in bipolar disorder (BD). Further characterization of cortisol secretion is needed to improve understanding of the connection between mood, sleep, and the HPA axis. Here, we observe diurnal cortisol patterns in individuals with BD and healthy controls (HCs) to determine time points where differences may occur.

METHODS

Salivary cortisol was measured at 6 time points (wake, 15, 30, and 45 min after wake, between 2:00 and 4:00 p.m. and 10:00 p.m.) for 3 consecutive days in individuals with symptomatic BD (N = 27) and HC participants (N = 31). A general linear model with correlated errors was utilized to determine if salivary cortisol changed differently throughout the day between the 2 study groups.

RESULTS

A significant interaction (F = 2.74, df = 5, and p = 0.02) was observed between the time of day and the study group (BD vs. HC) when modeling salivary cortisol over time, indicating that salivary cortisol levels throughout the day significantly differed between the study groups. Specifically, salivary cortisol in BD was elevated compared to HCs at the 10:00 p.m. time point (p = 0.01).

CONCLUSION

Significantly higher levels of cortisol in participants with BD in the night-time suggest that the attenuation of cortisol observed in healthy individuals may be impaired in those with BD. Reregulation of cortisol levels may be a target of further study and treatment intervention for individuals with BD.

Predictors of Adherence to Psychological Treatment for Insomnia and Pain: Analysis from a Randomized Trial

OBJECTIVES

Poor adherence to psychological treatment for insomnia is common and limits treatment gains. Very little is known about predictors of adherence among patients with chronic pain, although adherence is theorized to be more critical and more challenging for these patients. This secondary data analysis examines predictors of drop-out and therapy nonattendance in an osteoarthritis population receiving psychological treatment for insomnia and pain.

METHODS

Data were analyzed from the "Lifestyles" trial, a randomized controlled trial of a 6-week group cognitive behavioral pain coping skills intervention (CBT-P), group cognitive-behavioral therapy for pain and insomnia (CBT-PI), and an education only attention control group (EOC). The current analysis focuses on 122 participants randomized to CBT-PI from 6 primary care clinics. Measures of treatment acceptability, demographics, and symptoms were collected at baseline. Factor analysis was used to clarify the boundaries of these domains, and hierarchical regression was used to examine the incremental predictive power of these patient characteristics on therapy attendance.

RESULTS

Ratings of treatment acceptability were distinct from demographic and medical variables and baseline symptoms. Treatment acceptability was significantly related to session attendance and drop-out (rs ranging from 0.24 to 0.32) and was also one of the strongest predictors of session attendance (β=0.20; P<0.05).

DISCUSSION

Perceptions of treatment acceptability early in treatment represent a potentially modifiable target to enhance adherence to psychological treatment for insomnia and pain among patients with chronic pain. This work represents an important step towards understanding how to best maximize sleep treatments for this patient population.

Participant Experiences of Attending a Community CBT Workshop for Insomnia: A Qualitative Six-Year Follow-Up

Objective/Background: Our aim was to qualitatively explore the experiences of people who attended a one-day sleep workshop six years previously. Participants: Of the 95 people who originally attended the workshop and a three-month follow-up, 14 individuals (mean age = 63.6 years) participated. Methods: Semi-structured interviews were used to explore: participants' experiences of insomnia since the workshop, memories of the techniques and information provided and the perceived impact of the workshop on their lives. Qualitative data were analyzed using the principles of Framework Analysis. Results: Interviews produced rich accounts of attributions of changes in sleep, the application of taught strategies and general experiences of the workshop. Conclusions: This research highlights which aspects of a large-scale intervention may be most helpful for individuals experiencing sleep difficulties and what factors may contribute to changes in sleep over time.

Program Evaluation of Group-based Cognitive Behavioral Therapy for Insomnia: a Focus on Treatment Adherence and Outcomes in Older Adults with Co-morbidities

OBJECTIVE

To describe a program evaluation of the interrelationship of adherence and treatment outcomes in a sample of veteran older adults with co-morbidities who participated in group-based cognitive behavioral therapy for insomnia.

METHODS

Retrospective data extraction was performed for 14 older adults. Adherence measures and sleep outcomes were measured with sleep diaries and Insomnia Severity Index. Demographic and clinical information was extracted through chart review.

RESULTS

Adherence with prescribed time in bed, daily sleep diaries, and maintaining consistent time out of bed and time in bed was generally high. There were moderate, though not significant, improvements in consistency of time in bed and time out of bed over time. Adherence was not significantly associated with sleep outcomes despite improvements in most sleep outcomes.

CONCLUSIONS

The non-significant relationship between sleep outcomes and adherence may reflect the moderating influence of co-morbidities or may suggest a threshold effect beyond which stricter adherence has a limited impact on outcomes.

CLINICAL IMPLICATIONS

Development of multi-method adherence measures across all treatment components will be important to understand the influence of adherence on treatment outcomes as monitoring adherence to time in bed and time out of bed had limited utility for understanding treatment outcomes in our sample.

Increasing access to and utilization of cognitive behavioral therapy for insomnia (CBT-I): a narrative review

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.

Insomnia disorder in adolescence: Diagnosis, impact, and treatment

Insomnia disorder is very common in adolescents; it is particularly manifest in older adolescents and girls, with a prevalence comparable to that of other major psychiatric disorders (e.g., depressive disorders). However, insomnia disorder in adolescence is poorly characterized, under-recognized, under-diagnosed, and under-treated, and the reason for the female preponderance for insomnia that emerges after puberty is largely unknown. Insomnia disorder goes beyond an individual complaint of poor sleep or a sleep state misperception, and there is emerging evidence supporting the association of insomnia symptoms in adolescents with alterations in several bio-systems including functional cortical alterations and systemic inflammation. Insomnia disorder is associated with depression and other psychiatric disorders, and is an independent risk factor for suicidality and substance use in adolescents, raising the possibility that treating insomnia symptoms in early adolescence may reduce risk for these adverse outcomes. Cognitive behavioral treatments have proven efficacy for adolescent insomnia and online methods seem to offer promising cost-effective options. Current evidence indicates that insomnia in adolescence is an independent entity that warrants attention as a public health concern in its own right.

Measuring Sleep Efficiency: What Should the Denominator Be?

ABSTRACT

Inconsistency in operationally defining sleep efficiency (SE) creates confusion with regard to the conceptualization and use of the construct by researchers and clinicians. The source of the inconsistency is the denominator of the widely published operational definition of SE: ratio of total sleep time (TST) to time in bed (TIB) (multiplied by 100 to yield a percentage). When taken literally, TIB includes non-sleep-related activity (e.g., reading, texting, conversing with a partner, watching television) both prior to initiating sleep and after the final awakening. However, the construct of SE refers to TST compared to the amount of time spent attempting to initially fall asleep and sleep discontinuity. Non-sleep related activities in bed do not reflect that construct. Also, time out of bed during nighttime awakenings, a manifestation of sleep discontinuity, should be included in the SE denominator. Using TIB as the denominator can also create a methodological problem when SE is an outcome measure in sleep intervention research. It is proposed that research and practice would benefit by clarifying and adopting a consistent operational definition that more accurately captures the construct of SE. An alternate denominator, duration of the sleep episode (DSE), is suggested, where DSE = sleep onset latency (SOL) + TST + time awake after initial sleep onset but before the final awakening (WASO) + time attempting to sleep after final awakening (TASAFA). The proposed formula for SE would be: SE = TST / DSE (× 100). DSE can be easily calculated using standard sleep diary entries along with one item from the Expanded Consensus Sleep Diary. Implications for insomnia research and practice are discussed.