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Study Objectives: There is mixed evidence for the relationship between poor sleep and daytime fatigue, and some have suggested that fatigue is simply caused by lack of sleep. Although retrospective measures of insomnia and fatigue tend to correlate, other studies fail to demonstrate a link between objectively disturbed sleep and fatigue. The current study prospectively explored the relationship between sleep and fatigue among those with and without insomnia disorder., Methods: Participants meeting Research Diagnostic Criteria for insomnia disorder (n = 33) or normal sleepers (n = 32) completed the Consensus Sleep Diary (CSD) and daily fatigue ratings for 2 weeks. Baseline questionnaires evaluated cognitive factors including unhelpful beliefs about sleep and rumination about fatigue. Hierarchical linear modeling tested the within- and between-participant relationships between sleep quality, total sleep time, and daily fatigue ratings. Mediation analyses tested if cognitive factors mediated the relationship between insomnia and fatigue., Results: Self-reported nightly sleep quality significantly predicted subsequent daily fatigue ratings. Total sleep time was a significant predictor of fatigue within, but not between, participants. Unhelpful sleep beliefs and rumination about fatigue mediated the relationship between insomnia and fatigue reporting., Conclusions: The results suggest that perception of sleep plays an important role in predicting reports of daytime fatigue. These findings could be used in treatment to help shift the focus away from total sleep times, and instead, focus on challenging maladaptive sleep-related cognitions to change fatigue perception., (© Sleep Research Society 2020. Published by Oxford University Press on behalf of the Sleep Research Society. All rights reserved. For permissions, please e-mail journals.permissions@oup.com.)

The Consensus Sleep Diary (CSD) is a standardized, prospective tool for tracking nightly subjective sleep. The current study evaluated the validity and utility of the CSD, with consideration for challenges inherent to psychometric evaluation of diary measures. Results showed that the CSD indices differentiated good sleepers from those with insomnia and were associated with similar objective indices and a subjective insomnia severity measure. The ability to detect treatment improvements after cognitive behavior therapy for insomnia (CBT-I) was tested by comparing pre- and post-CBT-I CSD indices with a subjective rating of insomnia symptom severity. Improvement in insomnia symptom severity was significantly related to improvement on the CSD indices. Completion rate of the CSD amongst participants across all 14 days was 99.8%. These findings provide support for the validity, clinical utility, and usability of the CSD.

Objective: Insomnia-specific rumination has presented in subjects with insomnia. Research has identified hyperarousal as a key factor, with both trait and state components. It has been shown that emotion dysregulation also plays a role in insomnia. Hence, the aim was to investigate how insomnia rumination is associated with both trait- and state-dependent arousal and emotion dysregulation in insomnia., Methods: Sixty-eight subjects with insomnia disorder (DSM-5) and 36 good sleepers were evaluated using: Insomnia Severity Index (ISI), Daytime Insomnia Symptom Response Scale (DISRS), Arousal Predisposition Scale (APS), Pre-sleep Arousal Scale (PSAS), and Difficulties in Emotion Regulation Scale (DERS). Univariate and multivariate regression analyses and mediation analyses were performed., Results: Subjects with insomnia (F 41, mean age 50.2 ± 10) presented higher scores than good sleepers (F 22, mean age 49.7 ± 14) in all the scales (ISI, DISRS, APS, PSAS, DERS; p < 0.0001). Insomnia rumination was directly correlated with trait (APS, B = 0.22, p < 0.0001) pre-sleep state arousal (PSAS cognitive B = 0.22, p < 0.0001, PSAS somatic B = 0.24, p < 0.0001) and emotion dysregulation (B = 0.5, p = 0.03). It mediated the association between trait and pre-sleep state hyperarousal (Z = 3.3, p = 0.0008), the bidirectional association between cognitive and somatic arousal (p = 0.02), and the association between trait hyperarousal and emotion dysregulation (Z = 2.3, p = 0.04)., Conclusions: In insomnia, specific rumination is related to both trait predisposition to arousal and to state-dependent arousal. It is also related to emotion dyregulation. Insomnia-specific ruminative response style may modulate the complex association between trait- and state-dependent arousal factors and arousal and emotion regulation in insomnia. In this framework, a broad range of cognitive processes may be considered when dealing with subjects with insomnia: the use of rumination-oriented psychological strategies could be important., (Copyright © 2016 Elsevier B.V. All rights reserved.)

Social rhythms, also known as daily routines (e.g. exercise, of school or work, recreation, social activities), have been identified as potential time cues to help to regulate the biological clock. Past research has shown links between regularity and healthy sleep. This study examined the regularity and frequency of daytime activities in a clinical insomnia population and a good sleeper comparison group. Participants (N = 69) prospectively monitored their sleep and daily activities for a 2-week period. Although participants with insomnia and good sleepers had similar levels of activity, relative to good sleepers, those with insomnia were less regular in their activities. Findings from this study add to the growing number of studies that highlight the relative importance of the regularity of daytime activities on sleep. Accordingly, future research should test treatment components that focus on regulating daytime activities, which would likely improve treatment outcomes.

Harvey's cognitive model of insomnia (2002a) proposes that sleep-related safety behaviors play a central role in the maintenance of insomnia because such maladaptive coping strategies are thought to reinforce threat-based appraisals of the likelihood and consequences of poor sleep. Research to date has assessed the frequency of safety behavior use in those with insomnia only; however, in addition to the frequency of occurrence, the function of safety behaviors (i.e., a belief that they will prevent a feared outcome from occurring), may be an important consideration. The purpose of this study was to examine sleep-related safety behaviors based on an expanded theoretical understanding of such behaviors across psychological disorders; that is, by examining both their frequency and perceived utility. Undergraduate students (N=376) completed an online survey about their sleep, mood, and use of sleep-related safety behaviors. Insomnia severity was associated with a greater perceived need to use safety behaviors (i.e., utility) but not with frequency of safety behavior use. Higher perceived utility of safety behaviors was also associated with unhelpful beliefs about sleep, fear and avoidance of fatigue, and both general and sleep-specific helplessness. These results suggest that these behaviors and the associated underlying maladaptive beliefs may be important targets in cognitive behavioral therapy for insomnia. The current study extends the existing literature and refines the concept of safety behaviors in insomnia to include both the function and frequency of these behaviors., (Copyright © 2011. Published by Elsevier Ltd.)

Study Objectives: We explored differences between individuals with DSM-IV-TR diagnoses of primary insomnia (PI) and insomnia related to a mental disorder (IMD) by using serial measurements of self-reported sleep variables (sleep onset latency, SOL; wake after sleep onset, WASO; total sleep time, TST; sleep efficiency, SE), and visual analogue scale ratings of 2 forms of bedtime arousal (cognitive and emotional). Furthermore, we sought to examine the relationship between sleep and arousal within each diagnostic subgroup., Design: Between-group and within-group comparisons., Setting: Duke and Rush University Medical Centers, USA., Participants: One hundred eighty-seven insomnia sufferers (126 women, average age 47.15 years) diagnosed by sleep specialists at 2 sleep centers as PI patients (n=126) and IMD patients (n=61)., Interventions: N/A., Measurements and Results: Multilevel models for sleep measures indicated that IMD displayed significantly more instability across nights in their TST (i.e., larger changes) than did PI patients. With respect to pre-sleep arousal, IMD patients exhibited higher mean levels of emotional arousal, as well as more instability on the nightly ratings of this measure. Within the PI group, correlational analyses revealed a moderate relationship between the 2 arousal variables and SOL (r values 0.29 and 0.26), whereas the corresponding correlations were negligible and statistically nonsignificant in the IMD group., Conclusions: We found a number of differences on nighttime variables between those diagnosed with primary insomnia and those diagnosed with insomnia related to a mental disorder. These differences imply different perpetuating mechanisms involved in their ongoing sleep difficulties. Additionally, they support the categorical distinctiveness and the concurrent validity of these insomnia subtypes.

Objectives: Unhelpful beliefs about sleep have been linked to insomnia, and increasing one's cognitive flexibility about sleep has been linked to posttreatment sleep improvement. This study evaluated whether levels of such beliefs differ across insomnia groups and whether there are particular beliefs that differ for specific insomnia subtypes., Methods: Participants (N=1384) were people with insomnia and good sleepers ranging from 18 to 89 years old (mean=42.6; S.D.=19.4). Data from previous studies at five insomnia clinical sites were pooled to examine responses on the Dysfunctional Beliefs and Attitudes about Sleep Scale (DBAS) across differing insomnia groups., Results: Group analyses revealed that those from community-based insomnia clinics and those who are hypnotic-dependent generally had the highest levels of unhelpful sleep-related beliefs. With the exception of beliefs about sleep needs (wherein only community sleep clinic patients had high scores relative to good sleepers), all insomnia groups had higher scores on the 16-item DBAS (DBAS-16) than good sleepers. A validity analysis suggested that a DBAS-16 index score of >3.8 represented the level of unhelpful beliefs associated with clinically significant insomnia, although a slightly lower cutoff may be useful for identifying an unhelpful degree of sleep-related beliefs in highly screened primary-insomnia-only and medical patient groups., Conclusions: This study offers descriptive data for the use of DBAS-16 across insomnia subgroups, which will help the user understand what degree of maladaptive sleep beliefs is most strongly associated with clinically significant levels of insomnia. Results also may have implications for cognitive targeting during treatment for particular insomnia groups.

Objectives: Maladaptive sleep beliefs play an important role in primary insomnia, but their role in other disorders with concomitant sleep disruption has rarely been explored. Thus, this study investigated the link between insomnia and sleep beliefs in five groups (N=422): primary insomnia (PI), good sleepers (GS), fibromyalgia (FM), major depressive disorder (MDD), and Community Sleep Clinic patients with comorbid insomnia and mood disturbance (CSC)., Method: Groups were compared on the Dysfunctional Beliefs and Attitudes about Sleep (DBAS-16) scale., Results: Unlike the GS group, the MDD, FM, and CSC groups had elevated DBAS-16 scores that were similar to, or more pathological than, those of primary insomnia sufferers. Only some of the differences were removed after controlling for depression., Conclusion: Like primary insomnia patients, other sleep-disturbed patient groups have problematic sleep beliefs. Depression was not sufficient to account for all elevations in beliefs. The presence of maladaptive sleep beliefs in these patients suggests that belief-targeted treatment might be helpful in alleviating sleep complaints.

Subject Objective: Maladaptive beliefs about sleep are associated with insomnia and are assessed with the Dysfunctional Beliefs and Attitudes about Sleep scale (DBAS). Three studies explored which DBAS items (1) maximally differentiated people with insomnia from good sleepers, (2) declined with cognitive behavior therapy (CBT), and (3) were related to other clinical improvement indexes., Design: Data from previous studies were analyzed to evaluate the above 3 hypotheses., Participants: The total sample (N = 332) was comprised of experimental and treatment-seeking people with insomnia and good sleepers ranging from 20 to 79 years of age (mean +/- SD 51.3 +/- 14.7)., Results: The analyses of variance of the 30 items of the DBAS in Study 1 suggested that 16 items differentiated insomnia sufferers from good sleepers. In Study 2, 8 items showed significantly greater changes in response to CBT than alternate therapies. However, only 2 of these items were among the 16 items that discriminated insomnia sufferers from good sleepers in Study 1. In Study 3, declining scores on 15 of 30 DBAS items in response to CBT were related to 1 or more indexes of clinical improvement., Conclusion: The 16 beliefs of the DBAS-30 that best discriminated insomnia sufferers from good sleepers related to helplessness and hopelessness in the insomnia group. CBT addressed some of these beliefs, although some beliefs relating to helplessness remained relatively elevated. These residual beliefs should be investigated further, as they may confer cognitive risk for future insomnia and imply ways to improve current CBT strategies.

There is growing evidence that social rhythms (e.g., daily activities such as getting into or out of bed, eating, and adhering to a work schedule) have important implications for sleep. The present study used a prospective measure of daily activities to assess the relation between sleep and social rhythms. College students (n=243) 18 to 39 yrs of age, completed the Social Rhythm Metric (SRM) each day for 14 d and then completed the Pittsburgh Sleep Quality Index (PSQI). The sample was divided into groups of good or poor sleepers, according to a PSQI cut-off score of 5 points and was compared on the regularity, frequency, timing, and extent of social engagement during activities. There was a lower frequency and less regularity of social rhythms in poor sleepers relative to good sleepers. Good sleepers engaged more regularly in activities with active social engagement. Earlier rise time, first consumption of a beverage, going outdoors for the first time, and bedtime were associated with better sleep. Greater variability in rise time, consuming a morning beverage, returning home for the last time, and bedtime were associated with more disturbed sleep. The results are consistent with previous findings of reduced regularity in bedtime and rise time schedules in undergraduates, other age groups, and in clinical populations. Results augment the current thought that regulating behavioral zeitgebers may be important in influencing bed and rise times, and suggest that engaging in activities with other people may increase regularity.

This study compared the accuracy of reporting adherence to sleep instructions in participants who were informed that adherence would be verified with an actigraph (aware group) to participants not informed the actigraph would be used to assess adherence (unaware of group). Participants were college students (N = 68), who were screened for psychiatric or sleep disorders or extremes in circadian tendency. The UG had later actigraph estimates of bedtime than the AG, but the two groups did not differ on their self-report of adherence to the sleep rules. Only the UG had later actigraphic estimates of bedtimes that violated the sleep rules. These findings have implications for the accuracy of sleep diary self-reports as well as for the use of actigraphs in studies requiring people to follow specific sleep schedule instructions.

INTRODUCTION: The purpose of this systematic review is to provide supporting evidence for a clinical practice guideline on the use of behavioral and psychological treatments for chronic insomnia disorder in adult populations. METHODS: The American Academy of Sleep Medicine commissioned a task force of 9 experts in sleep medicine and sleep psychology. A systematic review was conducted to identify randomized controlled trials that addressed behavioral and psychological interventions for the treatment of chronic insomnia disorder in adults. Statistical analyses were performed to determine if the treatments produced clinically significant improvements in a range of critical and important outcomes. Finally, the Grading of Recommendations Assessment, Development, and Evaluation process was used to evaluate the evidence for making specific treatment recommendations. RESULTS: The literature search identified 1,244 studies; 124 studies met the inclusion criteria, and 89 studies provided data suitable for statistical analyses. Evidence for the following interventions is presented in this review: cognitive-behavioral therapy for insomnia, brief therapies for insomnia, stimulus control, sleep restriction therapy, relaxation training, sleep hygiene, biofeedback, paradoxical intention, intensive sleep retraining, and mindfulness. This review provides a detailed summary of the evidence along with the quality of evidence, the balance of benefits vs harms, patient values and preferences, and resource use considerations.

BackgroundThe intense itching associated with atopic dermatitis (AD) often causes patients to experience severe sleep disturbance. Here, we describe the results of a two-phase concept elicitation and cognitive interview study to establish the content validity of a sleep disturbance numerical rating scale (SD NRS) and a Consensus Sleep Diary adapted for adults and adolescents with moderate-to-severe AD (CSD-AD©).ResultsIn phase I, a concept elicitation conducted in 20 adults and 10 adolescents with moderate-to-severe AD revealed that the following sleep-related issues were important and relevant: nighttime awakening (87%), trouble falling asleep (73%), feeling unrested (53%), daytime fatigue or sleepiness (53%), and feeling as if they did not get enough sleep (33%). The frequency and extent of sleep disturbance varied substantially from day to day due to varying degrees of itching and flares, medication use, and changes in the weather. All participants understood the SD NRS question, with most finding it easy or very easy to understand (100% of adults and 90% of adolescents) and most understanding the anchors as intended (95% of adults, and 100% of adolescents). Most participants (94% of adults, and 90% of adolescents) indicated that they would consider a one- or two-point change meaningful on the SD NRS. The CSD-AD© was revised based on participant feedback, and tested during phase II in a convenience sample of six adults and four adolescents from phase I. The changes made to the CSD-AD© were confirmed to be relevant and understandable. All patients were able to provide an answer to each item in the CSD-AD©, and most were able to estimate the duration of nighttime awakenings, daytime naps, and dozing.ConclusionsThe study supported the content validity of the SD NRS and CSD-AD© in adults and adolescents with moderate-to-severe AD. It also emphasized the importance of using these instruments daily when assessing the benefit of a new treatment on sleep quality in this population.

To compare cognitive behavioral therapy for insomnia (CBT-I) + antidepressant medication (AD) against treatments that target solely depression or solely insomnia. A blinded, randomized split-plot experimental study. Two urban academic clinical centers. 107 participants (68% female, mean age 42 ± 11) with major depressive disorder and insomnia. Randomization was to one of three groups: antidepressant (AD; escitalopram) + CBT-I (4 sessions), CBT-I + placebo pill, or AD + 4-session sleep hygiene control (SH). Subjective sleep was assessed via 2 weeks of daily sleep diaries (use of medication was covaried in all analyses); although there were no statistically significant group differences detected, all groups improved from baseline to posttreatment on subjective sleep efficiency (SE) and total wake time (TWT) and the effect sizes were large. Objective sleep was assessed via overnight polysomnographic monitoring at baseline and posttreatment; analyses revealed both CBT groups improved on TWT (p = .03), but the AD + SH group worsened. There was no statistically significant effect for PSG SE (p = .07). There was a between groups medium effect observed for the AD + SH and CBT + placebo group differences on diary TWT and both PSG variables. All groups improved significantly from baseline to posttreatment on the Hamilton Rating Scale for Depression (HAMD-17); the groups did not differ. Although all groups self-reported sleeping better after treatment, only the CBT-I groups improved on objective sleep, and AD + SH's sleep worsened. This suggests that we should be treating sleep in those with depression with an effective insomnia treatment and relying on self-report obscures sleep worsening effects. All groups improved on depression, even a group with absolutely no depression-focused treatment component (CBT-I + placebo). The depression effect in CBT-I only group has been reported in other studies, suggesting that we should further investigate the antidepressant properties of CBT-I.

Providers of Cognitive-Behavioral Therapy for Insomnia (CBT-I) are often asked whether the behavioral recommendations (e.g., stimulus control, sleep restriction) must be adhered to ad infinitum. We examined whether changes in sleep habits/behaviors are a life sentence, or whether patients who remit can relax their adherence while maintaining their treatment gains at 1-year follow-up (FU). Participants (N = 179) completed 2 weeks of sleep diaries and measures of insomnia severity and safety behaviors at baseline and following four sessions of CBT-I. Of the 137 patients that achieved remission, 77 completed these measures at 1-year FU. Improvements in insomnia severity and total wake time (TWT) at post-treatment were maintained at FU (ps ≥.52). Similarly, reductions in safety behaviors were maintained at FU (p – 1.00), whereas lingering in bed reduced during treatment (p <.001) but increased at FU (p <.001). Changes in sleep habits after treatment did not predict insomnia severity at FU. However, increases in time in bed positively predicted TWT at FU (p =.001). Those who remit after CBT-I may generally relax their adherence to behavioral recommendations without significantly impacting their perceived insomnia symptoms 1 year after treatment despite some increases in TWT. Results increase our confidence in CBT-I as a brief and durable intervention. [ABSTRACT FROM AUTHOR]

Background: Sleep disturbance and its daytime sequelae, which comprise complex, transdiagnostic sleep problems, are pervasive problems in adolescents and young adults (AYAs) and are associated with negative outcomes. Effective interventions must be both evidence based and individually tailored. Some AYAs prefer self-management and digital approaches. Leveraging these preferences is helpful, given the dearth of AYA treatment providers trained in behavioral sleep medicine. We involved AYAs in the co-design of a behavioral, self-management, transdiagnostic sleep app called DOZE (Delivering Online Zzz's with Empirical Support). Objective: This study tests the feasibility and acceptability of DOZE in a community AYA sample aged 15-24 years. The secondary objective is to evaluate sleep and related outcomes in this nonclinical sample. Methods: Participants used DOZE for 4 weeks (2 periods of 2 weeks). They completed sleep diaries, received feedback on their sleep, set goals in identified target areas, and accessed tips to help them achieve their goals. Measures of acceptability and credibility were completed at baseline and end point. Google Analytics was used to understand the patterns of app use to assess feasibility. Participants completed questionnaires assessing fatigue, sleepiness, chronotype, depression, anxiety, and quality of life at baseline and end point. Results: In total, 83 participants created a DOZE account, and 51 completed the study. During the study, 2659 app sessions took place with an average duration of 3:02 minutes. AYAs tracked most days in period 1 (mean 10.52, SD 4.87) and period 2 (mean 9.81, SD 6.65), with a modal time of 9 AM (within 2 hours of waking). DOZE was appraised as highly acceptable (mode≥4) on the items "easy to use," "easy to understand," "time commitment," and "overall satisfaction" and was rated as credible (mode≥4) at baseline and end point across all items (logic, confident it would work, confident recommending it to a friend, willingness to undergo, and perceived success in treating others). The most common goals set were decreasing schedule variability (34/83, 41% of participants), naps (17/83, 20%), and morning lingering in bed (16/83, 19%). AYAs accessed tips on difficulty winding down (24/83, 29% of participants), being a night owl (17/83, 20%), difficulty getting up (13/83, 16%), and fatigue (13/83, 16%). There were significant improvements in morning lingering in bed (P=.03); total wake time (P=.02); sleep efficiency (P=.002); total sleep time (P=.03); and self-reported insomnia severity (P=.001), anxiety (P=.002), depression (P=.004), and energy (P=.01). Conclusions: Our results support the feasibility, acceptability, credibility, and preliminary efficacy of DOZE. AYAs are able to set and achieve goals based on tailored feedback on their sleep habits, which is consistent with research suggesting that AYAs prefer autonomy in their health care choices and produce good results when given tools that support their autonomy. [ABSTRACT FROM AUTHOR]

Abstract: Background: Unhelpful sleep-related cognitions play an important role in insomnia and major depressive disorder, but their role in seasonal affective disorder has not yet been explored. Therefore, the purpose of this study was to determine if individuals with seasonal affective disorder (SAD) have sleep-related cognitions similar to those with primary insomnia, and those with insomnia related to comorbid nonseasonal depression. Methods: Participants (n=147) completed the Dysfunctional Beliefs and Attitudes about Sleep 16-item scale (DBAS-16) and the Structured Interview Guide for the Hamilton Depression Rating Scale, Seasonal Affective Disorder Version (SIGH-SAD), which assesses self reported sleep problems including early, middle, or late insomnia, and hypersomnia in the previous week. All participants were assessed in winter, and during an episode for those with a depressive disorder. Results: Individuals with SAD were more likely to report hypersomnia on the SIGH-SAD, as well as a combined presentation of hypersomnia and insomnia on the Pittsburgh Sleep Quality Index (PSQI). The SAD group reported DBAS-16 scores in the range associated with clinical sleep disturbance, and DBAS-16 scores were most strongly associated with reports of early insomnia, suggesting circadian misalignment. Limitations: Limitations include the self-report nature of the SIGH-SAD instrument on which insomnia and hypersomnia reports were based. Conclusions: Future work could employ sleep- or chronobiological-focused interventions to improve clinical response in SAD. [Copyright &y& Elsevier]

Summary: Sleep has largely been conceptualized as an individual phenomenon, despite the fact that most adults share their bed with a partner at some time in their life. Only recently have researchers begun to examine the dyadic nature of sleep, and there is growing evidence that bed partners can play a role in the onset and maintenance of insomnia. Additionally, emerging evidence suggests that bed partners can be powerful agents of social control in terms of promoting adaptive health and sleep-related behaviors, and shared social rhythms between partners can help foster an environment that is conducive to good sleep. As such, the aim of the present article is to review the social context of the sleep environment and how best to include bed partners in insomnia treatment. Based on a synthesis of relevant literatures, a model for integrating bed partners into cognitive behavior therapy for insomnia (CBT-I) is presented and directions for future research are discussed. [ABSTRACT FROM AUTHOR]

Abstract: Assessing for clinical levels of anxiety is crucial, as comorbid insomnias far outnumber primary insomnias (PI). Such assessment is complex since those with Anxiety Disorders (AD) and those with PI have overlapping symptoms. Because of this overlap, we need studies that examine the assessment of anxiety in clinical insomnia groups. Participants (N = 207) were classified as having insomnia: 1) without an anxiety disorder (I-ND), or 2) with an anxiety disorder (I-AD). Mean Beck Anxiety Inventory (BAI) item responses were compared using multivariate analysis of variance (MANOVA) and follow-up ANOVAs. As a validity check, a receiver operating characteristic (ROC) curve analysis was conducted to determine if the BAI suggested clinical cutoff was valid for identifying clinical levels of anxiety in this comorbid patient group. The I-ND had lower mean BAI scores than I-AD. There were significant group differences on 12 BAI items. The ROC curve analysis revealed the suggested BAI cutoff (≥16) had 55% sensitivity and 78% specificity. Although anxiety scores were highest in those with insomnia and an anxiety disorder, those with insomnia only had scores in the mild range for anxiety. Nine items did not distinguish between those insomnia sufferers with and without an anxiety disorder. Additionally, published cutoffs for the BAI were not optimal for identifying anxiety disorders in those with insomnia. Such limitations must be considered before using this measure in insomnia patient groups. In addition, the poor specificity and high number of overlapping symptoms between insomnia and anxiety highlight the diagnostic challenges facing clinicians. [Copyright &y& Elsevier]

An amendment to this paper has been published and can be accessed via the original article. [ABSTRACT FROM AUTHOR]

Background: Meditation has become increasingly popular due to its health benefits; however, barriers to delivering meditation programs in traditional group-based formats limit the accessibility of these benefits. Smartphone-based meditation may increase the availability of these programs to larger, more diverse audiences; however, research on subscriber characteristics and usage patterns in meditation mobile apps is lacking. Objective: This study aimed to describe the demographics, clinical characteristics, and usage patterns of a convenience sample of Calm subscribers and explore the relationship between self-reported app usage and changes in health, stress, and sleep. Methods: Participants were 12,151 paying Calm subscribers (response rate=12.08%, 12,151/100,594) who completed an anonymous Web-based survey with 11 quantitative questions related to user engagement, reasons for starting Calm, and changes after using the app. Demographic characteristics, chronic health diagnoses, and sleep difficulties were also assessed. Chi-square tests were used to examine differences in app usage. Logistic regression models were used to examine demographic and health characteristics that may predict changes in health, stress, and sleep. Results: Respondents were 18-96 years old (mean 48.57 [SD 13.79]), primarily female (79.94%, 8778/10,981), white (81.41%, 8959/11,005), and most reported a chronic health diagnosis (56.86%, 6289/11,061). Mental health diagnoses (41.13%, 4549/11,061) were more common than physical health diagnoses (32.19%, 3560/11,061). Most respondents (76.31%, 8684/11,360) reported difficulties falling or staying asleep. On average, respondents had been using Calm for 11.49 months (SD 10.49), and 60.03% (7281/12,129) used it 5 or more times per week. Meditations (used by 80.02%, 9497/11,841) and Sleep Stories (55.66%, 6591/11,841) were the most popular components. The frequency of using Calm was associated with incremental increases in the likelihood of noticing changes in mental health (χ22=136.8; P <.001), physical health (χ22=102.8; P <.001), stress (χ22=128.1; P <.001), and sleep (χ22=141.4; P <.001). Respondents who had used Calm longer were also more likely to notice changes in mental health (OR 1.06 [95% CI 1.05 to 1.06]), physical health (OR 1.01 [95% CI 1.01 to 1.02]), stress (OR 1.04 [95% CI 1.04 to 1.05]), and sleep (OR 1.004 [95% CI 1.00 to 1.01]). Subscribers with sleep difficulties used Calm more frequently (χ82=11.5; P =.003), were more likely to use Sleep Stories (χ12=1590.2; P <.001), and were more likely to notice changes in their physical health (χ12=49.2; P <.001) and sleep (χ12=2391.1; P <.001). Conclusions: Results highlight important demographic characteristics and usage patterns among a self-selected sample of Calm subscribers. Mental health concerns and sleep appear to be top reasons for downloading Calm. Sleep Stories and meditations are the most popular app components. The frequency of using Calm was associated with incremental changes in outcomes. Findings support future randomized controlled trials testing the efficacy of Calm for health, stress, and sleep. Studies should also explore strategies to attract a more diverse sample of subscribers. [ABSTRACT FROM AUTHOR]

Background: Poor sleep quality is common in depression, but complaints of poor sleep quality are not necessarily tied to objective sleep, and the construct of sleep quality remains poorly understood. Previous work suggests that beliefs about sleep may influence sleep quality appraisals, as might sleep variability from night to night.Objective: We tested whether beliefs about sleep predict daily sleep quality ratings above and beyond nightly variability of actigraphy and diary-assessed sleep over the course of multiple nights.Methods: Eighty-eight participants aged 18-65 years across a depressive continuum completed sleep diaries and reported their sleep quality and mood each morning; actigraphy was also completed for 67 of those participants. Multilevel models were used to test previous night's total sleep time and sleep efficiency as predictors of self-reported sleep quality (VAS-SQ) and mood (VAS-M), and whether unhelpful beliefs about sleep predicted VAS-SQ and VAS-M above and beyond the sleep variables.Results: Individuals across a depression continuum with greater unhelpful beliefs about sleep reported worse sleep quality and worse mood upon awakening, even when accounting for nightly variation in actigraphy or diary assessed total sleep time and sleep efficiency.Conclusions: These results suggest that people are influenced by unhelpful sleep beliefs when making judgements about sleep quality and mood, regardless of how well they slept the previous night. Working with these unhelpful sleep beliefs in cognitive behavioral therapy can thus promote better sleep and mood in people across the depressive continuum. [ABSTRACT FROM AUTHOR]