scholarly journals A ChineseChan-Based Mind-Body Intervention Improves Sleep on Patients with Depression: A Randomized Controlled Trial

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Agnes S. Chan ◽  
Queenie Y. Wong ◽  
Sophia L. Sze ◽  
Patrick P. K. Kwong ◽  
Yvonne M. Y. Han ◽  
...  
Keyword(s):  
Effect Size ◽  
Sleep Problems ◽  
Behavioral Therapy ◽  
Controlled Trial ◽  
Sleep Onset ◽  
Sleep Time ◽  
Sleep Onset Latency ◽  
Sleep Quantity ◽  
Wake Time ◽  
Positive Effects

Sleep disturbance is a common problem associated with depression, and cognitive-behavioral therapy (CBT) is a more common behavioral intervention for sleep problems. The present study compares the effect of a newly developed ChineseChan-based intervention, namelyDejianmind-body intervention (DMBI), with the CBT on improving sleep problems of patients with depression. Seventy-five participants diagnosed with major depressive disorder were randomly assigned to receive 10 weekly sessions of CBT or DMBI, or placed on a waitlist. Measurements included ratings by psychiatrists who were blinded to the experimental design, and a standardized questionnaire on sleep quantity and quality was obtained before and after the 10-week intervention. Results indicated that both the CBT and DMBI groups demonstrated significantly reduced sleep onset latency and wake time after sleep onset (effect size range=0.46–1.0,P≤0.05) as compared to nonsignificant changes in the waitlist group (P>0.1). Furthermore, the DMBI group, but not the CBT or waitlist groups, demonstrated significantly reduced psychiatrist ratings on overall sleep problems (effect size=1.0,P=0.00) and improved total sleep time (effect size=0.8,P=0.05) after treatment. The present findings suggest that a ChineseChan-based mind-body intervention has positive effects on improving sleep in individuals with depression.

scholarly journals 1071 Subjective Measures Of Hyperarousal Predict Subjective Longitudinal And Retrospective Measures Of Sleep Quality In Individuals Exposed To Trauma

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A408-A408
Author(s):  
A Kram Mendelsohn ◽  
C Daffre ◽  
K I Oliver ◽  
J Seo ◽  
N B Lasko ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Disturbances ◽  
Traumatic Event ◽  
Behavioral Therapy ◽  
Sleep Onset ◽  
Sleep Time ◽  
Sleep Onset Latency ◽  
Wake Time ◽  
Sleep Diaries ◽  
Dsm 5

Abstract Introduction Hyperarousal and disturbed sleep are intrinsic symptoms of posttraumatic stress disorder (PTSD). We explored whether self-reported indices of hyperarousal predict longitudinally measured objective, subjective, and retrospective evaluations of sleep quality in trauma-exposed individuals. Methods Individuals exposed to a DSM-5 PTSD Criterion-A traumatic event within the past two years (N=130, 91 females), aged 18-40 (mean 24.43, SD 5.30), 51.54% of whom met DSM-5 criteria for PTSD, completed 14 days of actigraphy and sleep diaries. Participants also completed the PTSD Checklist for DSM-5 (PCL-5), the Clinician-Administered PTSD Scale (CAPS-5), published Hyperarousal (HAS) and Hypervigilance (HVQ) scales, and the Pittsburgh Sleep Quality Index (PSQI) (N=108-125 for different scales). Mean total sleep time (TST), sleep onset latency (SOL), sleep efficiency (SE) and sleep midpoint were calculated from actigraphy and subjective SOL, SE, number of awakenings, and time spent awake from diaries. Simple regressions were used to predict associations of the PCL-5, HAS, and HVQ scores with measures of sleep quality. Results Hyperarousal indices predicted diary but not actigraphy measures of sleep quality. Longer diary-reported SOL was predicted by higher scores for: PCL-5 total score (R=0.290, p=0.001), PCL-5 hyperarousal items without the sleep item (R=0.261, p=0.004), and HAS without sleep items (R=0.220, p=0.016). Diary-reported number of awakenings and wake time after sleep onset were predicted by higher HAS scores without the sleep question: (R=0.373, p<0.001; r=0.352, p<0.001). Similarly, all hyperarousal indices significantly predicted PSQI global score (PCL-5: R=0.482, p<0.001; PCL-5 hyperarousal: R=0.389, p<0.001; HVQ: R=0.214, p=0.017; HAS without sleep question: R=0.415, p<0.001). Conclusion Self-reported hyperarousal measures predict subjective longitudinal (especially SOL) and retrospective measures, but not objective measurements of sleep quality. Similar discrepancies between self-reported and objective measures of sleep quality have been reported in patients with insomnia disorder. Cognitive-behavioral therapy for insomnia may be especially effective in treating post-traumatic sleep disturbances. Support R01MH109638

An integrated sleep and anxiety intervention for anxious children: A pilot randomized controlled trial

2020 ◽  
Vol 25 (4) ◽  
pp. 945-957 ◽  
Author(s):  
Michelle A Clementi ◽  
Candice A Alfano
Keyword(s):  
Sleep Problems ◽  
Behavioral Therapy ◽  
Controlled Trial ◽  
Sleep Onset ◽  
Case Series ◽  
Post Treatment ◽  
Sleep Onset Latency ◽  
Randomized Controlled ◽  
Small Effect Size

Sleep-related complaints hold complex reciprocal relationships with anxiety and are a pervasive, distressing feature of childhood generalized anxiety disorders (GAD). Although evidence suggests purely anxiety-focused treatments reduce some sleep problems of anxious children, interventions that directly target both anxiety and sleep might produce superior outcomes in both domains. Targeted Behavioral Therapy (TBT), developed for co-morbid sleep and anxiety problems, demonstrated initial efficacy in a small case series but has not been directly compared to anxiety-focused treatment. The current pilot study used a randomized controlled design to compare TBT to “gold standard” cognitive-behavioral therapy (CBT) for anxiety among n = 20 children (ages 6–12) with primary GAD. Multi-informant measures of anxiety and sleep (including actigraphy) were obtained at baseline, post-treatment, and 6-month follow-up. Results indicated significant improvements (based on moderate to large effect sizes) in anxiety and subjective sleep in both treatment groups at post-treatment. Improvements were maintained at 6-month follow-up. Objective sleep onset latency also decreased marginally for both groups at post-treatment (based on small effect size). Findings provide preliminary support for the feasibility and potential utility of anxiety-focused interventions for improving some sleep-related problems among anxious youth. Future studies including large samples are needed.

State of the Art Reviews: Nonpharmacologic Approaches for the Treatment of Insomnia

2007 ◽  
Vol 1 (4) ◽  
pp. 274-282 ◽  
Author(s):  
Ann M. Lynch ◽  
Courtney I. Jarvis ◽  
Ronald J. DeBellis ◽  
Anna K. Morin
Keyword(s):  
Behavioral Therapy ◽  
Treatment Options ◽  
Sleep Onset ◽  
Treatment Strategies ◽  
Economic Consequences ◽  
Patient Specific ◽  
Sleep Onset Latency ◽  
Medline Search ◽  
Wake Time ◽  
Nonpharmacologic Treatment

Insomnia is a common condition resulting in significant clinical and economic consequences. This review discusses the efficacy of nonpharmacologic treatment options commonly recommended for sleep onset and sleep maintenance insomnia. In addition, the efficacy of these approaches as part of a multifaceted intervention and in comparison to that of pharmacologic options is reviewed. The primary literature and review articles on the nonpharmacologic treatment of insomnia were identified through a MEDLINE search between 1966 and August 2006. Articles on the nonpharmacologic treatment of primary insomnia, including clinical trials on the efficacy of individual and combination treatment options, were reviewed. The nonpharmacologic treatment options for insomnia include stimulus control, sleep hygiene educations, sleep restriction, paradoxical intention, relaxation therapy, biofeedback, and cognitive-behavioral therapy. These treatment strategies produce significant changes in several sleep parameters of chronic insomniacs, including sleep-onset latency, wake time after sleep onset, sleep duration, and sleep quality. Many therapeutic options are available to treat insomnia, including nonpharmacologic strategies. Treatment recommendations, both pharmacologic and nonpharmacologic, should be made based on patient-specific insomnia symptoms, treatment history, and medical history.

Efficacy of Micronized Progesterone for Sleep: A Systematic Review and Meta-analysis of Randomized Controlled Trial Data

2020 ◽  
Author(s):  
Brendan J Nolan ◽  
Bonnie Liang ◽  
Ada S Cheung
Keyword(s):  
Systematic Review ◽  
Randomized Controlled Trials ◽  
Effect Size ◽  
Meta Analysis ◽  
Sleep Onset ◽  
Sleep Time ◽  
Controlled Trials ◽  
Sleep Onset Latency ◽  
Randomized Controlled ◽  
Micronized Progesterone

Abstract Context Preclinical data has shown progesterone metabolites improve sleep parameters through positive allosteric modulation of the γ-aminobutyric acid type A receptor. We undertook a systematic review and meta-analysis of randomized controlled trials to assess micronized progesterone treatment on sleep outcomes. Evidence Acquisition Using preferred reporting items for systematic review and meta-analysis guidelines, we searched MEDLINE, Embase, PsycInfo, and the Cochrane Central Register of Controlled Trials for randomized controlled trials of micronized progesterone treatment on sleep outcomes up to March 31, 2020. This study is registered with the International Prospective Register of Systematic Reviews, number CRD42020165981. A random effects model was used for quantitative analysis. Evidence Synthesis Our search strategy retrieved 9 randomized controlled trials comprising 388 participants. One additional unpublished trial was found. Eight trials enrolled postmenopausal women. Compared with placebo, micronized progesterone improved various sleep parameters as measured by polysomnography, including total sleep time and sleep onset latency, though studies were inconsistent. Meta-analysis of 4 trials favored micronized progesterone for sleep onset latency (effect size, 7.10; confidence interval [CI] 1.30, 12.91) but not total sleep time (effect size, 20.72; CI -0.16, 41.59) or sleep efficiency (effect size, 1.31; CI -2.09, 4.70). Self-reported sleep outcomes improved in most trials. Concomitant estradiol administration and improvement in vasomotor symptoms limit conclusions in some studies. Conclusions Micronized progesterone improves various sleep outcomes in randomized controlled trials, predominantly in studies enrolling postmenopausal women. Further research could evaluate the efficacy of micronized progesterone monotherapy using polysomnography or validated questionnaires in larger cohorts.

Anxiety, Obsessive-Compulsive, and Related Disorders

2020 ◽  
pp. 318-336
Author(s):  
Bruce Rohrs ◽  
Benjamen Gangewere ◽  
Alicia Kaplan ◽  
Amit Chopra
Keyword(s):  
Anxiety Disorders ◽  
Sleep Disturbance ◽  
Sleep Disturbances ◽  
Sleep Problems ◽  
Sleep Onset ◽  
Sleep Time ◽  
Sleep Onset Latency ◽  
Limited Evidence ◽  
Obsessive Compulsive ◽  
Psychotherapeutic Interventions

Despite its common comorbidity, sleep disturbance is often underrecognized and undertreated in individuals with anxiety disorders. Compared to mood disorders, sleep disturbance in this population is less well studied except for panic disorder and generalized anxiety disorder. Some evidence suggests a bidirectional link between anxiety disorders and sleep disturbance. Polysomnography findings point to some commonalities across anxiety disorders, including longer sleep onset latency, reduced total sleep time, and reduced sleep efficiency. The underlying biological mechanisms linking anxiety disorders and sleep disturbance are still unclear. However, there is limited evidence suggesting a connection between impaired executive functioning due to sleep problems and failure to inhibit anxiety related thoughts and feelings. Cortisol irregularities and disruption in the serotonergic system may also play a role. Evidence suggests that anxiety sensitivity is a transdiagnostic factor that contributes to both anxiety disorders and sleep disturbance. Further research is warranted to elucidate common biological and psychological factors underlying sleep disturbances and anxiety disorders. There is an imminent need to systematically assess the impact of sleep disturbance on symptom severity and treatment outcomes in anxiety, obsessive-compulsive, and related disorders. Limited evidence is available for medications and targeted psychotherapeutic interventions for management of sleep disturbance thus warranting the development of robust sleep interventions to achieve optimal clinical outcomes in this patient population.

Sleep Disturbance in Preschool-Aged Hyperactive and Nonhyperactive Children

PEDIATRICS ◽  
1987 ◽  
Vol 80 (6) ◽  
pp. 839-844 ◽  
Author(s):  
Bonnie J. Kaplan ◽  
Jane McNicol ◽  
Richard A. Conte ◽  
H. K. Moghadam
Keyword(s):  
Attention Deficit ◽  
Attention Deficit Disorder ◽  
Sleep Problems ◽  
Sleep Onset ◽  
Sleep Time ◽  
Sleep Onset Latency ◽  
Significant Group ◽  
The Third ◽  
Night Sweats ◽  
Definition Of

In spite of inadequate laboratory demonstrations of sleep problems in children with attention deficit disorder with hyperactivity, the belief persists that such problems exist. Sleep restlessness is, in fact, one of the criteria in the Diagnostic and Statistical Manual of Mental Disorders, ed 3, definition of attention deficit disorder with hyperactivity, and sleep problems are listed on two major checklists often used for describing the symptoms of this disorder. In a series of three studies, sleep problems were investigated in preschool-aged children with attention deficit disorder relative to control children without the disorder. Results of the first two studies demonstrated clearly that parents of hyperactive children considered their children to have many more sleep problems than did parents of the control children. Parental daily documentation, which is less likely to be affected by reporting bias, was used in the third study. Although the results of the third study supported the finding of increased frequency of night wakings in these children, there was no difference in total sleep time or sleep onset latency between the two groups. Two other significant group differences (enuresis and night sweats) were primarily due to subgroups of children with attention deficit disorder and hyperactivity. The greater number of sleep wakings, which disrupt parents' sleep, may be responsible for the clinical reports that these children are poor sleepers.

scholarly journals 0524 Web-Delivered CBT for Insomnia Intervention Improves Sleep Among Adults with Insomnia and Depressive Symptoms

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A200-A201
Author(s):  
P J Batterham ◽  
H Christensen ◽  
F P Thorndike ◽  
L M Ritterband ◽  
R Gerwien ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Sleep Quality ◽  
Large Scale ◽  
Behavioral Therapy ◽  
Controlled Trial ◽  
Sleep Onset ◽  
Sleep Diary ◽  
Sleep Onset Latency ◽  
Sleep Diaries

Abstract Introduction Cognitive behavioral therapy for insomnia (CBT-I) is the first line recommended treatment for adults with chronic insomnia. In a prior randomized controlled trial (RCT), data showed web-delivered CBT-I (SHUTi) reduced insomnia severity as well as symptoms of depression, among adults with insomnia and elevated depressive symptoms. The present study aimed to further evaluate the effectiveness of web CBT-I to improve sleep outcomes as measured by prospectively entered sleep diaries in this same sample. Methods A large-scale RCT (N=1149) of Australian adults with insomnia and depressive symptoms compared a 9-week, web CBT-I therapeutic with an attention-matched web program at baseline, posttest and 6-, 12-, and 18-month follow-ups. Although depression outcomes have been presented previously, the online sleep-diary derived variables have not yet been presented, including sleep-onset latency (SOL), wake after sleep onset (WASO), sleep efficiency (SE), number of awakenings, sleep quality, and total sleep time (TST). Sleep diaries were entered online for 10 days at each assessment period. Results Data showed web CBT-I participants demonstrated greater reductions from baseline to posttest compared with control for the following sleep variables: SOL (LS mean difference [95% CI]=-22.3 min [-29.2, -15.3]; p<.0001), WASO (-17.8 min [-23.4, -12.3]; p<.0001), and number of awakenings (-0.38 [-0.68, -0.09]; p=.0113). Web CBT-I also showed greater improvements in SE (9.18% [7.25%, 11.10%]; p<.0001) and sleep quality (0.41 [0.30, 0.53]; p<.0001) from baseline to posttest compared with control. TST was not significantly different between groups at posttest or 6-month follow-up, although it improved over baseline at 12 (18.73 min [7.39, 30.07]; p=.0013) and 18 months (23.76 min [9.15, 38.36]; p=.0015) relative to control. All other significant sleep treatment effects were maintained in the treatment arm at 6, 12, and 18-month follow-up. Conclusion Data showed web CBT-I produced lasting improvements in sleep outcomes among adults with insomnia and elevated depressive symptoms. Support Clinical trial ACTRN12611000121965 was funded by the Australian National Health and Medical Research Council. The statistical analysis described here was funded by Pear Therapeutics, Inc and conducted by Provonix.

Behaviour Therapy for DIMS: Comparison of Three Treatment Procedures with Follow-up

1990 ◽  
Vol 18 (3) ◽  
pp. 151-167 ◽  
Author(s):  
Ezio Sanavio ◽  
Giulio Vidotto ◽  
Ornella Bettinardi ◽  
Teresa Rolletto ◽  
Marina Zorzi
Keyword(s):  
Sleep Onset ◽  
Sleep Time ◽  
Waiting List ◽  
Progressive Relaxation ◽  
Biofeedback Training ◽  
Eysenck Personality Questionnaire ◽  
Sleep Onset Latency ◽  
Behaviour Therapy ◽  
Wake Time

Forty patients suffering from persistent psychophysiological Disorders of Initiating and Maintaining Sleep (DIMS) were assigned to one of the following groups: (1) EMG-biofeedback training; (2) cognitive modification treatment, combining paradoxical instructions, cognitive restructuring and thought stopping; (3) stimulus control and progressive relaxation treatment; (4) waiting list (control). Each active treatment consisted of six sessions over a period of 2 weeks.After treatment, the patients in the three treatment groups showed shorter sleep onset latency (37%), shorter wake time after sleep onset (50%), and more positive evaluations of sleep quality and restedness on awakening in the morning. The waiting-list group did not show any changes. Benefits were maintained and further increased during the 1 and 3 year follow-ups. Results did not suggest substantial differences, among the three treatments, in amount and/or stability of benefits. The 3 year follow-up revealed seven failures, as against 23 successes. The initial variables differentiating the failures were shorter sleep time and higher scores on the P scale of the Eysenck Personality Questionnaire.

scholarly journals O028 Effectiveness of digital brief behavioural therapy for insomnia with wearable technology: pilot randomized controlled trial

2021 ◽  
Vol 2 (Supplement_1) ◽  
pp. A13-A13
Author(s):  
C Gordon ◽  
M Aji ◽  
N Glozier ◽  
D Bartlett ◽  
R Calvo ◽  
...  
Keyword(s):  
Controlled Trial ◽  
Pilot Trial ◽  
Sleep Onset ◽  
Severity Index ◽  
Sleep Time ◽  
Behavioural Therapy ◽  
Wearable Device ◽  
User Engagement ◽  
Sleep Onset Latency ◽  
Significant Difference

Abstract Objective This pilot trial aimed to test the effectiveness of integration of a wearable device with digital brief behavioural therapy for insomnia (dBBTi) on insomnia symptom severity, sleep metrics and therapy engagement. Participants and Methods One hundred and twenty-eight participants with insomnia symptoms were randomised to a 3-week dBBTi program with a wearable device enabling sleep data synchronization (dBBTi+wearable group; n = 62) or dBBTi alone (n = 66). We assessed the Insomnia Severity Index (ISI) and modified Pittsburgh Sleep Quality Index (PSQI; wake-after-sleep-onset (WASO), sleep-onset-latency (SOL), and total sleep time (TST)) at baseline and weeks 1, 2, 3, 6 and 12. Engagement was measured by the number of daily sleep diaries. Results There was no significant difference in ISI scores between the groups (d = 0.7, p = 0.061). The dBBTi+wearable group showed greater improvements in WASO (d = 0.8, p = 0.005) and TST (d = 0.3, p = 0.049) compared to the dBBTi group after 6 weeks. There was significantly greater engagement in the dBBTi+wearable group compared to the dBTi group (d =0.7, p = 0.010). Conclusions This pilot trial found that wearable device integration with a digital insomnia therapy led to improvements in WASO and TST and enhanced user engagement. We suggest that incorporation of adjunctive wearable technologies may improve digital insomnia therapy.

scholarly journals Bi-directional relations between stress and self-reported and actigraphy-assessed sleep: a daily intensive longitudinal study

SLEEP ◽  
2019 ◽  
Vol 43 (3) ◽  
Author(s):  
Yang Yap ◽  
Danica C Slavish ◽  
Daniel J Taylor ◽  
Bei Bei ◽  
Joshua F Wiley
Keyword(s):  
Multilevel Models ◽  
Sleep Onset ◽  
Sleep Time ◽  
Sleep Onset Latency ◽  
Sleep Complaints ◽  
Sleep Quantity ◽  
Sleep Diaries ◽  
Directional Relations ◽  
Moderating Role

Abstract Study Objectives Stress is associated with poor and short sleep, but the temporal order of these variables remains unclear. This study examined the temporal and bi-directional associations between stress and sleep and explored the moderating role of baseline sleep complaints, using daily, intensive longitudinal designs. Methods Participants were 326 young adults (Mage = 23.24 ± 5.46), providing >2,500 nights of sleep altogether. Prospective total sleep time (TST), sleep onset latency (SOL), wake after sleep onset (WASO), and sleep efficiency (SE) were measured using actigraphy and sleep diaries. Perceived stress was reported three times daily between: 11:00–15:00, 15:30–19:30, and 20:00–02:00. Sleep complaints were measured at baseline using the PROMIS sleep disturbance scale. Within- and between-person sleep and stress variables were tested using cross-lagged multilevel models. Results Controlling for covariates and lagged outcomes, within-person effects showed that higher evening stress predicted shorter actigraphic and self-reported TST (both p < .01). Conversely, shorter actigraphic and self-reported TST predicted higher next-day stress (both p < .001). Longer self-reported SOL and WASO (both p < .001), as well as lower actigraphic (p < .01) and self-reported SE (p < .001), predicted higher next-day stress. Between-person effects emerged only for self-reported TST predicting stress (p < .01). No significant results were found for the moderating role of baseline sleep complaints. Conclusions Results demonstrated bi-directional relations between stress and sleep quantity, and a consistent direction of worse sleep quantity and continuity predicting higher next-day stress. Results highlighted within-individual daily variation as being more important than between-individual differences when examining sleep and daytime functioning associations.

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