Impact of Digital Monitoring, Assessment and Cognitive Behavioral Therapy on Subjective Sleep Quality, Workplace Productivity and Health Related Quality of Life: Observational Study (Preprint)

2018 ◽  
Author(s):  
Yuval Altman ◽  
Shuli Eyal ◽  
Anda Baharav ◽  
Kyle Niejadlik

BACKGROUND Sleep difficulties negatively impact health, performance and quality of life, as about a third of the general population suffers from at least one insomnia symptom. Recent studies link insomnia with reduced work productivity, resulting in extensive losses for employees, employers and insurers. Cognitive behavioral therapy for insomnia (CBTi) is recommended as first-line treatment for insomnia and the ubiquity of smart mobile devices allows for promising approaches to overcome some of the limitations surrounding it. OBJECTIVE Our aim was to propose a comprehensive sleep solution for smart mobile devices, and to characterize the effects of this solution, while using adequate sample sizes. METHODS Employees of a Fortune-50 company were randomly selected, all with a Pittsburgh Sleep Quality Index (PSQI) larger than 8. Subjects were randomly assigned to either an intervention group (IG, n=247) or a control group (CG, n=249), and were asked to fill several questionnaires, in addition to the PSQI. Questionnaires were completed pre-treatment, post-treatment at six weeks and a follow-up after two months. People in the IG were provided with a sleep assessment and therapy service via a mobile app (SleepRate). De-identified objective and subjective sleep data were acquired on a nightly basis, along with a digital sleep diary. Sleep parameters included sleep onset (SO), wake after sleep onset (WASO), sleep efficiency (SE) and sleep satisfaction (SS). Sleep problems, such as symptoms of insomnia, were detected based on the sleep data and several questionnaires. Subjects in the IG were then offered treatment to address the detected sleep problems. For subjects with symptoms of insomnia, average sleep parameters during the assessment week (AW) were compared to those during the last week in treatment (LW). RESULTS Post-treatment average PSQI was lower for the IG (8.5), compared to that of the CG (10.9, p=.005), as were absenteeism (IG: 0.39%, CG: 1.0%, p=.06) and presenteeism (IG: 15.6%, CG: 21.4%, p=.02). The average amount of healthy days was significantly higher for the IG (22.5 days) compared to that of the CG (18.6 days, p=.005). At follow-up, average PSQI of the IG was significantly lower (7.1) than that of the CG (10.4, p=.005), as well as absenteeism (IG: 0.15%, CG: 0.84%, p=.03) and presenteeism (IG: 11.9%, CG: 23.5%, p=.005), while the average amount of healthy days was significantly higher (IG: 23.8, CG: 19.0, p=.005). For subjects in the IG, subjective SE was significantly higher at LW (89.1±12.3%, mean±SD) compared to that at the AW (87.5±9.8%, p=.025), WASO significantly shortened (AW: 25.7±27minutes, LW: 19.8±18.4minutes, p=.011), as SS increased significantly (AW: 49.2±11.5, LW: 53±15.4, p=.003). CONCLUSIONS The use of a mobile sleep solution improved the subjective sleep perception in the IG and facilitated a substantial increase in work productivity.

2020 ◽  
pp. 1-15
Author(s):  
Allie Peters ◽  
John Reece ◽  
Hailey Meaklim ◽  
Moira Junge ◽  
David Cunnington ◽  
...  

Abstract Insomnia is a common major health concern, which causes significant distress and disruption in a person's life. The objective of this paper was to evaluate a 6-week version of Mindfulness-Based Therapy for Insomnia (MBTI) in a sample of people attending a sleep disorders clinic with insomnia, including those with comorbidities. Thirty participants who met the DSM-IV-TR diagnosis of insomnia participated in a 6-week group intervention. Outcome measures were a daily sleep diary and actigraphy during pre-treatment and follow-up, along with subjective sleep outcomes collected at baseline, end-of-treatment, and 3-month follow-up. Trend analyses showed that MBTI was associated with a large decrease in insomnia severity (p < .001), with indications of maintenance of treatment effect. There were significant improvements in objective sleep parameters, including sleep onset latency (p = .005), sleep efficiency (p = .033), and wake after sleep onset (p = .018). Significant improvements in subjective sleep parameters were also observed for sleep efficiency (p = .005) and wake after sleep onset (p < .001). Overall, this study indicated that MBTI can be successfully delivered in a sleep disorders clinic environment, with evidence of treatment effect for both objective and subjective measures of sleep.


Author(s):  
Sergey Tereshchenko ◽  
Edward Kasparov ◽  
Marina Smolnikova ◽  
Margarita Shubina ◽  
Nina Gorbacheva ◽  
...  

This study aims to establish a link between disturbances in the night sleep habitus, quality of sleep, and daytime sleepiness in adolescents with Internet addiction and different types of content consumed. Methods: This is a cross-sectional observational study of a school sample in three large cities in Central Siberia. 4615 schoolchildren of 12–18 years old were examined. The Russian-language versions of the Chen Internet Addiction Scale, the Game Addiction Scale for Adolescents, and the Social Media Disorder Scale were used to identify Internet addiction. Questions from the Pittsburgh Sleep Quality Index questionnaire were used to assess nighttime sleep. Daytime sleepiness was assessed using the Pediatric Daytime Sleepiness Scale questionnaire. Results: Adolescents with Internet addiction go to bed and wake up late; they are characterized by a decrease in the duration of nighttime sleep, an increase in sleep onset latency, and frequent nighttime awakenings, as well as more pronounced daytime sleepiness. Among the sleep parameters studied, the indicators of daytime sleepiness and night awakening scales have the highest effect size in Internet-addicted adolescents, regardless of the media consumed. Conclusion: Internet-addicted adolescents are characterized by significant disturbances in the quality of nighttime sleep and excessive daytime sleepiness, which requires appropriate psychological correction.


Author(s):  
Sergey Tereshchenko ◽  
Edward Kasparov ◽  
Marina Smolnikova ◽  
Margarita Shubina ◽  
Nina Gorbacheva ◽  
...  

This study aims to establish a link between disturbances in the night sleep habitus, quality of sleep, and daytime sleepiness in adolescents with Internet addiction and different types of content consumed. Methods: This is a cross-sectional observational study of a school sample in three large cities in Central Siberia. 4,615 schoolchildren of 12&ndash;18 years old were examined. The Russian-language versions of the Chen Internet Addiction Scale, the Game Addiction Scale for Adolescents, and the Social Media Disorder Scale were used to identify Internet addiction. Questions from the Pittsburgh Sleep Quality Index questionnaire were used to assess nighttime sleep. Daytime sleepiness was assessed using the Pediatric Daytime Sleepiness Scale questionnaire. Results: Adolescents with Internet addiction go to bed and wake up late; they are characterized by a decrease in the duration of nighttime sleep, an increase in sleep onset latency, and frequent nighttime awakenings, as well as more pronounced daytime sleepiness. Among the sleep parameters studied, the indicators of daytime sleepiness and night awakening scales have the highest effect size in Internet-addicted adolescents, regardless of the media consumed. Conclusion: Internet-addicted adolescents are characterized by significant disturbances in the quality of nighttime sleep and excessive daytime sleepiness, which requires appropriate psychological correction.


2020 ◽  
Vol 25 (4) ◽  
pp. 945-957 ◽  
Author(s):  
Michelle A Clementi ◽  
Candice A Alfano

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.


Author(s):  
Bente Storm Mowatt Haugland ◽  
Mari Hysing ◽  
Asle Hoffart ◽  
Åshild Tellefsen Haaland ◽  
Jon Fauskanger Bjaastad ◽  
...  

AbstractThe potential effect of early intervention for anxiety on sleep outcomes was examined in a sample of adolescents with anxiety (N = 313, mean 14.0 years, SD = 0.84, 84% girls, 95.7% Norwegians). Participants were randomized to one of three conditions: a brief or a standard-length cognitive-behavioral group-intervention (GCBT), or a waitlist control-group (WL). Interventions were delivered at schools, during school hours. Adolescents with elevated anxiety were recruited by school health services. Questionnaires on self-reported anxiety symptoms, depressive symptoms, and sleep characteristics were administered at pre- and post-intervention, post-waitlist, and at 1-year follow-up. Adolescents reported reduced insomnia (odds ratio (OR) = 0.42, p < 0.001) and shorter sleep onset latency (d = 0.27, p <  0.001) from pre- to post-intervention. For insomnia, this effect was maintained at 1-year follow-up (OR = 0.54, p = 0.020). However, no effect of GCBT on sleep outcomes was found when comparing GCBT and WL. Also, no difference was found in sleep outcomes between brief and standard-length interventions. Adolescents defined as responders (i.e., having improved much or very much on anxiety after GCBT), did not differ from non-responders regarding sleep outcomes. Thus, anxiety-focused CBT, delivered in groups, showed no effect on sleep outcomes. Strategies specifically targeting sleep problems in adolescents should be included in GCBT when delivered as early intervention for adolescents with elevated anxiety.Trial registry Clinical trial registration: School Based Low-intensity Cognitive Behavioral Intervention for Anxious Youth (LIST); http://clinicalrials.gov/; NCT02279251, Date: 11.31. 2014


2015 ◽  
Vol 2 (2) ◽  
Author(s):  
Sheida Jabalameli ◽  
Hamid Taher Neshat Doost ◽  
Mohammad Bagher Kajbaf ◽  
Hossein Molavi

Generalized Anxiety Disorder (GAD) is one of the most common anxiety disorders. It has been reported that psychological treatments like Cognitive-Behavioral Therapy (CBT) is effective for patients with GAD. The purpose of the present research was to investigate the effectiveness of CBT on Quality of Life (QOL) and worry in patients with GAD. A sample of 30 patients with GAD who had been referred to psychiatry offices in Isfahan, Iran were selected and assigned into an experimental group (n=15) and a control group (n=15) randomly.  The experimental group received CBT in 8 weekly sessions. All participants completed the World Health Organization Quality Of Life-Brief (WHOQOL-BREF) questionnaire and the Penn State Worry Questionnaire (PSWQ) at pretest, posttest and follow up. The results of MANCOVA showed that the mean scores of QOL in the experimental group was significantly higher than the control group at the posttest and follow up (P<0.05) and the mean scores of worry in the experimental group was significantly lower than the control group at the posttest and follow up (P<0.05) It is concluded that CBT can be applied for the patients with GAD as a useful psychological treatment. In general, CBT can improve QOL and decrease worry in patients with GAD.


2021 ◽  
Author(s):  
Yvonne Kutzer ◽  
Lisa Whitehead ◽  
Eimear Quigley ◽  
Shih Ching Fu ◽  
Mandy Stanley

BACKGROUND The current Covid-19 pandemic has brought about a marked interest in sleep health, as well as an increased demand for telehealth services, such as online Cognitive Behavioral Therapy for insomnia (CBT-I). Older adults in particular report a high rate of sleep problems. Recent studies have suggested that dysfunctional sleep beliefs could contribute to the high rates of self-reported insomnia in this age group. In addition, older adults have an increased rate of uncoupled sleep, e.g. displaying an insomnia complaint in the absence of objectively measured poor sleep. It is essential to determine the prevalence of coupled and uncoupled sleep in older adults and to examine the efficacy of online CBT-I to improve sleep outcomes. OBJECTIVE This study aims to assess objective and subjective sleep quality and dysfunctional sleep beliefs in a sample of community-dwelling older adults aged 60-80 years with and without uncoupled sleep in Western Australia following digitally delivered CBT-I. METHODS Objective sleep was measured using wrist actigraphy, and subjective sleep quality via sleep diaries and the Pittsburgh Sleep Quality Index (PSQI). Dysfunctional sleep beliefs were assessed by the Dysfunctional Beliefs and Attitudes about Sleep scale (DBAS-16) prior to and following a four-week online CBT-I programme. Linear mixed model and generalised linear mixed model analyses were conducted to examine objective and subjective sleep onset latency, total sleep time, wake after sleep onset and number of awakenings as well as PSQI and DBAS16 scores, respectively. RESULTS 62 participants (55 females; 88.7%) completed the study. CBT-I effectively reduced dysfunctional sleep beliefs and PSQI scores across all sleep classifications, even in good sleepers without a sleep complaint. Objective and self-reported changes in sleep parameters were mainly demonstrated in complaining poor sleepers. Complaining good sleepers reported a decrease in the number of subjective sleep awakenings only. CONCLUSIONS Online CBT-I was effective in improving the sleep outcomes of individuals who had both subjective and objective poor sleep. However, as the online CBT-I reduced dysfunctional sleep beliefs in all sleep groups, further examination of dysfunctional sleep beliefs and whether they mediate the outcomes of digital CBT-I in older adults will need to be conducted. CLINICALTRIAL Australian New Zealand Clinical Trials Registry (ANZCTR), ACTRN 12619001509156; http://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=378451 INTERNATIONAL REGISTERED REPORT RR2-32705


2019 ◽  
Vol 27 (3) ◽  
pp. 199-207 ◽  
Author(s):  
Won-Hyoung Kim ◽  
Young-Hwan Yoo ◽  
Ju-Young Lim ◽  
Sang-Gu Kang ◽  
Han-Young Jung ◽  
...  

2017 ◽  
Vol 41 (S1) ◽  
pp. S111-S112
Author(s):  
K.E. Veddegjaerde

IntroductionCognitive-behavioral therapy (CBT) has been found to be an effective treatment of excessive health anxiety (HA), but the long-term effect over 18months has not been examined.ObjectivesSeveral studies have shown effect of CBT for HA-patients. However, these effects have been short or immediate after therapy. To our knowledge no studies have examined long-term effect of CBT for HA over 18 months.AimsTo investigate the long-term effect of CBT on HA, focusing on level of HA, quality of life, subjective health complaints and general anxiety. Follow-up time was at least 10 years. Our hypothesis was that the effect was sustained.MethodsPatients with HA received 16 sessions of CBT over a period of 12–18 months, and were followed up over at least 10 years. All patients fulfilled criteria for F45.2, hypochondriacal disorder according to ICD-10.The patients answered several questionnaires, exploring areas such as HA, Quality of life, somatization, and mental health problems. Questionnaires were answered before CBT, after CBT and at follow up. Mixed model analysis was performed in SPSS 23.0 for all questionnaires.ResultsAll scores were found to be significant in the Pre-CBT–Post-CBT and Pre-CBT–FU (0.034– < 0.001), and none were found to be significant in the Post-CBT–FU.ConclusionsOur findings suggest that for the majority of patients with HA, CBT has a significant and lasting long-term effect. This effect lasts up to ten years post therapy.Disclosure of interestThe author has not supplied his/her declaration of competing interest.


Sign in / Sign up

Export Citation Format

Share Document