scholarly journals Technology-Assisted Behavioral Intervention to Extend Sleep Duration: Development and Design of the Sleep Bunny Mobile App

2018 ◽  
Vol 5 (1) ◽  
pp. e3 ◽  
Author(s):  
Kelly Glazer Baron ◽  
Jennifer Duffecy ◽  
Kathryn Reid ◽  
Mark Begale ◽  
Lauren Caccamo
Keyword(s):  
Sleep Duration ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Field Testing ◽  
Mobile App ◽  
Cardiovascular Disease Risk Factor ◽  
User Testing ◽  
Short Sleep Duration ◽  
Short Sleep ◽  
Populations At Risk

Background Despite the high prevalence of short sleep duration (29.2% of adults sleep <6 hours on weekdays), there are no existing theory-based behavioral interventions to extend sleep duration. The popularity of wearable sleep trackers provides an opportunity to engage users in interventions. Objective The objective of this study was to outline the theoretical foundation and iterative process of designing the “Sleep Bunny,” a technology-assisted sleep extension intervention including a mobile phone app, wearable sleep tracker, and brief telephone coaching. We conducted a two-step process in the development of this intervention, which was as follows: (1) user testing of the app and (2) a field trial that was completed by 2 participants with short sleep duration and a cardiovascular disease risk factor linked to short sleep duration (body mass index [BMI] >25). Methods All participants had habitual sleep duration <6.5 hours verified by 7 days of actigraphy. A total of 6 individuals completed initial user testing in the development phase, and 2 participants completed field testing. Participants in the user testing and field testing responded to open-ended surveys about the design and utility of the app. Participants in the field testing completed the Epworth Sleepiness Scale and also wore an actigraph for a 1-week baseline period and during the 4-week intervention period. Results The feedback suggests that users enjoyed the wearable sleep tracker and found the app visually pleasing, but they suggested improvements to the notification and reminder features of the app. The 2 participants who completed the field test demonstrated significant improvements in sleep duration and daytime sleepiness. Conclusions Further testing is needed to determine effects of this intervention in populations at risk for the mental and physical consequences of sleep loss.

scholarly journals Technology-Assisted Behavioral Intervention to Extend Sleep Duration: Development and Design of the Sleep Bunny Mobile App (Preprint)

2017 ◽  
Author(s):  
Kelly Glazer Baron ◽  
Jennifer Duffecy ◽  
Kathryn Reid ◽  
Mark Begale ◽  
Lauren Caccamo
Keyword(s):  
Sleep Duration ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Field Testing ◽  
Mobile App ◽  
Cardiovascular Disease Risk Factor ◽  
User Testing ◽  
Short Sleep Duration ◽  
Short Sleep ◽  
Populations At Risk

BACKGROUND Despite the high prevalence of short sleep duration (29.2% of adults sleep <6 hours on weekdays), there are no existing theory-based behavioral interventions to extend sleep duration. The popularity of wearable sleep trackers provides an opportunity to engage users in interventions. OBJECTIVE The objective of this study was to outline the theoretical foundation and iterative process of designing the “Sleep Bunny,” a technology-assisted sleep extension intervention including a mobile phone app, wearable sleep tracker, and brief telephone coaching. We conducted a two-step process in the development of this intervention, which was as follows: (1) user testing of the app and (2) a field trial that was completed by 2 participants with short sleep duration and a cardiovascular disease risk factor linked to short sleep duration (body mass index [BMI] >25). METHODS All participants had habitual sleep duration <6.5 hours verified by 7 days of actigraphy. A total of 6 individuals completed initial user testing in the development phase, and 2 participants completed field testing. Participants in the user testing and field testing responded to open-ended surveys about the design and utility of the app. Participants in the field testing completed the Epworth Sleepiness Scale and also wore an actigraph for a 1-week baseline period and during the 4-week intervention period. RESULTS The feedback suggests that users enjoyed the wearable sleep tracker and found the app visually pleasing, but they suggested improvements to the notification and reminder features of the app. The 2 participants who completed the field test demonstrated significant improvements in sleep duration and daytime sleepiness. CONCLUSIONS Further testing is needed to determine effects of this intervention in populations at risk for the mental and physical consequences of sleep loss.

scholarly journals Modeling Sleep and Adiposity-Associated Cardiometabolic Disease Risk Factors: Protocol for the SLUMBRx Study (Preprint)

2021 ◽  
Author(s):  
Adam Knowlden ◽  
John Higginbotham ◽  
Michael Grandner ◽  
John Allegrante
Keyword(s):  
Risk Factors ◽  
Sleep Duration ◽  
Disease Risk ◽  
Cardiometabolic Disease ◽  
Health Issues ◽  
Short Sleep Duration ◽  
Short Sleep ◽  
Adiposity Indices ◽  
The Relationship ◽  
Cardiometabolic Disease Risk

BACKGROUND Obesity and short sleep duration are significant public health issues. Current evidence suggests these conditions are associated with cardiovascular disease, metabolic syndrome, inflammation, and premature mortality. Increased interest in the potential link between obesity and short sleep duration, and its health consequences, has been driven by: 1) the apparent parallel increase in prevalence of both conditions in recent decades; 2) their overlapping association with cardiometabolic outcomes; and 3) the potential causal connection between the two health issues. The Short Sleep Undermines Cardiometabolic Health (SLUMBRx) Study seeks to contribute to the development of a comprehensive adiposity-sleep model, while laying the groundwork for a future program of research that will be designed to prevent and treat adiposity and sleep-related cardiometabolic disease risk factors. OBJECTIVE SLUMBRx addresses four topics pertinent to the adiposity-sleep hypothesis: 1) the relationship between adiposity and sleep duration; 2) sex-based differences in the relationship between adiposity and sleep duration; 3) influence of adiposity indices and sleep duration on cardiometabolic outcomes; and 4) the role of socioecological factors as effect modifiers in the relationship between adiposity indices, sleep, and cardiometabolic outcomes. METHODS SLUMBRx will employ a large-scale survey (n=1,000) that recruits 159 participants (53 normal weight, 53 overweight, and 53 obese) to be assessed in two phases. RESULTS Phase 1, a lab-based study, will gather objective adiposity indices (air displacement plethysmography and anthropometrics) and cardiometabolic data (blood pressure, pulse wave velocity and pulse wave analysis, and blood-based biomarker). Phase 2, a one-week, home-based study, will gather sleep-related data (home sleep testing/sleep apnea, actigraphy, sleep diaries). During Phase 2, detailed demographic and socioecological data will be collected to contextualize hypothesized adiposity and sleep-associated cardiometabolic disease risk factors. Collection and analyses of these data will yield information necessary to customize future observational and intervention research. CONCLUSIONS Precise implementation of the SLUMBRx protocol promises to provide objective, empirical data on the interaction between body composition and sleep duration. The hypotheses that will be tested by SLUMBRx are important for understanding the pathogenesis of cardiometabolic disease and for developing future public health interventions to prevent its conception and treat its consequences. CLINICALTRIAL https://projectreporter.nih.gov/project_info_description.cfm?aid=9822114&icde=45818775

Cardiovascular disease risk factor clustering in children and adolescents: a prospective cohort study

2018 ◽  
Vol 103 (10) ◽  
pp. 968-973 ◽  
Author(s):  
Young-Gyun Seo ◽  
Min-Kyu Choi ◽  
Jae-Heon Kang ◽  
Hye-Ja Lee ◽  
Han Byul Jang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Risk Factor ◽  
Cohort Study ◽  
Sleep Duration ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Cardiometabolic Health ◽  
Cardiovascular Disease Risk Factor ◽  
Disease Risk Factor

ObjectiveThe early identification of predictors related to cardiovascular disease risk factor clustering (CVD-RFC) can help prevent chronic disease. We aimed to identify the risk factors for CVD-RFC in adolescents.MethodsA prospective longitudinal cohort study design was used to obtain data included in these analyses from school-aged children who participated in the Korean Child-Adolescent Study 2008–2014. A total of 1309 children aged 6–15 years were enrolled. We compared the participants based on the presence or absence of CVD-RFC and examined the cumulative incidence of CVD-RFC.ResultsOf the total 1309 children, 410 (31.32%) had CVD-RFC in adolescence. A higher average household income ≥3 million Korean Republic won (KRW)/month (3–5 million KRW/month: HR 0.75 (95% CI 0.58 to 0.97); ≥5 million KRW/month: HR 0.58 (95% CI 0.44 to 0.77)) was associated with a lower CVD-RFC incidence, while the presence of parental CVD history (HR 1.28 (95% CI 1.04 to 1.57)), overweight or obesity (HR 3.83 (95% CI 3.05 to 4.80)) and shorter sleep duration of 8–9 hour/day (HR 1.80 (95% CI 1.05 to 3.07)) and <8 hour/day (HR 1.93 (95% CI 1.11 to 3.34)) had higher CVD-RFC incidences.ConclusionsObesity in childhood, short sleep duration and parental factors such as low socioeconomic status and parental history of CVD are significant risk factors for the development of CVD-RFC in adolescents. Efforts to create awareness regarding sufficient sleep duration in children via intervention programmes targeting cardiometabolic health in children and special attention to lifestyle modifications and socioeconomic components of the family should be considered.

Relaksasi Benson Untuk Durasi Tidur Pasien Penyakit Jantung Koroner

2018 ◽  
Vol 3 (3) ◽  
pp. 556
Author(s):  
Mulyanti Roberto Muliantino ◽  
Tuti Herawati ◽  
Masfuri Masfuri
Keyword(s):  
Cardiac Rehabilitation ◽  
Sleep Duration ◽  
Intervention Group ◽  
Self Report ◽  
Pharmacological Intervention ◽  
Control Group ◽  
P Value ◽  
Short Sleep Duration ◽  
Short Sleep ◽  
Coronary Arterial Disease

<p><em>Coronary Arterial Disease (CAD) is one of cardiovaskular disease that remain leading cause death and disability. Short sleep duration is the major symptoms in patients with CAD, during recovery period after cardiac events and during cardiac rehabilitation. Benson’s relaxation is one of relaxation as modalities therapy to increase sleep duration, </em><em>however few studies related to this</em><em> technique in planned</em><em> intervention</em><em>.</em><em> This study was to measured the effectiveness of Benson’s relaxation in short sleep duration of CAD patients during cardiac rehabilitation. It was a </em><em>quasi experimental pretest posttest control group design.</em><em> This study included 29 respondens in Dr.M.Djamil Hospital were assigned to intervention group which receiving Benson’s relaxation technique (n=15) and control group with routine care (n=14). </em><em>Benson’s relaxation </em><em>technique</em><em> was administered for 5 days 2 times a day, each 20 minutes to intervention group.</em><em> Short sleep duration was measured using </em><em>sleep diary (self report).</em><em> The result indicated significant increasing in mean of  sleep duration  before and after Benson’s relaxation in intervention group </em><em>(p value &lt; 0,001). </em><em>The study concluded that </em><em>Benson’s relaxation </em><em>technique is an effective non-pharmacological intervention to increase sleep duration in CAD patients.</em></p><p><em><br /></em></p><p>Penyakit jantung koroner menjadi masalah kardiovaskular yang mengakibatkan angka mortalitas yang tinggi. Durasi tidur pendek termasuk salah satu keluhan utama pasien penyakit jantung koroner pada masa recovery setelah serangan dan menjalani rehabilitasi fase 2. Relaksasi Benson merupakan teknik relaksasi sebagai terapi modalitas untuk mengurangi keluhan durasi tidur pendek, namum belum banyak penelitian terkait intervensi ini. Penelitian ini bertujuan untuk mengidentifikasi pengaruh relaksasi Benson terhadap durasi tidur pasien penyakit jantung koroner yang menjalani rehabilitasi fase 2. Penelitian ini menggunakan desain Quasi Eksperimen dengan pendekatan <em>control group pretest posttest design</em> pada 29 responden di RSUP. Dr.M.Djamil Padang yang dibagi dalam dua kelompok (kelompok intervensi dan kelompok kontrol). Hasil penelitian menunjukan ada perbedaan rerata durasi tidur yang signifikan antara sebelum dan setelah dilakukan intervensi relaksasi Benson pada kelompok intervensi (p value &lt; 0,001). Simpulan hasil penelitian ini dapat menjadi salah satu terapi modalitas bagi perawat untuk mengatasi masalah durasi tidur pendek pada pasien penyakit jantung koroner.</p><p><em><br /></em></p>

374 Cognitive Behavioral Therapy with Exercise in Adults with Insomnia and Short Sleep: Daytime Function Outcomes from a Pilot Study

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A149-A149
Author(s):  
Andrew Kubala ◽  
Mara Egeler ◽  
Daniel Buysse ◽  
Martica Hall ◽  
Emma Barinas-Mitchell ◽  
...  
Keyword(s):  
Sleep Duration ◽  
Behavioral Therapy ◽  
Exercise Program ◽  
Short Sleep Duration ◽  
Post Intervention ◽  
Short Sleep ◽  
Supervised Exercise ◽  
Daytime Function ◽  
Supervised Exercise Program ◽  
Insomnia Severity

Abstract Introduction Cognitive behavioral therapy for insomnia (CBT-I) is efficacious, but there is mixed evidence as to whether improvement is blunted in adults with insomnia and short sleep duration. Exercise training can reduce physiologic hyperarousal and may increase homeostatic sleep drive, which could potentiate CBT-I treatment effects. This pilot study explored changes in self-reported outcomes from a CBT-I intervention augmented by exercise training in a sample of adults with insomnia and objective short sleep duration. Methods Eight adults (50% female, 62.5% white) with insomnia disorder and short sleep duration (mean actigraphic TST &lt;6.5 hr) completed a 12-week single-arm trial. Participants self-administered the online “Sleep Healthy Using the Internet” (SHUT-I) CBT-I program with additional staff guidance while completing a supervised exercise program (EX; 150 min/wk of moderate-intensity aerobic exercise and 2 days/wk of strength training). Participants completed assessments of self-reported sleep and daytime function pre- and post-intervention, including the Insomnia Severity Index (ISI), Flinders Fatigue Scale (FFS), Ford Insomnia Response to Stress Test (FIRST), Perceived Stress Scale (PSS), and Epworth Sleepiness Scale (ESS). Differences between timepoints were analyzed using paired t-tests and Cohen’s d effect size calculations. Results Insomnia severity significantly decreased after the intervention (ISI: p&lt;0.001, d=2.99), with 75% reporting post-intervention ISI ≤ 7. Likewise, fatigue significantly decreased after the intervention (FFS: p=0.032, d=0.95). Symptoms of stress-related sleep reactivity and stress were also reduced (FIRST: p=0.012, d=1.19; PSS: p=0.014, d=1.14). Though nonsignificant, large reductions in sleepiness were additionally observed (ESS: p=0.058, d=0.80). Conclusion In this pilot trial among patients with insomnia and short sleep duration, online CBT-I plus a supervised exercise program resulted in a significant reduction in insomnia severity. The intervention also produced large and meaningful reductions in fatigue and stress, which are common daytime impairments in patients with insomnia. Future research should attempt to disentangle the independent contributions of CBT-I and exercise on outcomes in this population. Support (if any) NIH: K23HL118318

Causal associations of short and long sleep durations with 12 cardiovascular diseases: linear and nonlinear Mendelian randomization analyses in UK Biobank

2021 ◽  
Author(s):  
Sizhi Ai ◽  
Jihui Zhang ◽  
Guoan Zhao ◽  
Ningjian Wang ◽  
Guohua Li ◽  
...  
Keyword(s):  
Heart Disease ◽  
Arterial Hypertension ◽  
Ischaemic Heart Disease ◽  
Sleep Duration ◽  
Mendelian Randomization ◽  
Short Sleep Duration ◽  
Short Sleep ◽  
Causal Risk Factor ◽  
Long Sleep ◽  
Artery Disease

Abstract Aims Observational studies have suggested strong associations between sleep duration and many cardiovascular diseases (CVDs), but causal inferences have not been confirmed. We aimed to determine the causal associations between genetically predicted sleep duration and 12 CVDs using both linear and nonlinear Mendelian randomization (MR) designs. Methods and results Genetic variants associated with continuous, short (≤6 h) and long (≥9 h) sleep durations were used to examine the causal associations with 12 CVDs among 404 044 UK Biobank participants of White British ancestry. Linear MR analyses showed that genetically predicted sleep duration was negatively associated with arterial hypertension, atrial fibrillation, pulmonary embolism, and chronic ischaemic heart disease after correcting for multiple tests (P &lt; 0.001). Nonlinear MR analyses demonstrated nonlinearity (L-shaped associations) between genetically predicted sleep duration and four CVDs, including arterial hypertension, chronic ischaemic heart disease, coronary artery disease, and myocardial infarction. Complementary analyses provided confirmative evidence of the adverse effects of genetically predicted short sleep duration on the risks of 5 out of the 12 CVDs, including arterial hypertension, pulmonary embolism, coronary artery disease, myocardial infarction, and chronic ischaemic heart disease (P &lt; 0.001), and suggestive evidence for atrial fibrillation (P &lt; 0.05). However, genetically predicted long sleep duration was not associated with any CVD. Conclusion This study suggests that genetically predicted short sleep duration is a potential causal risk factor of several CVDs, while genetically predicted long sleep duration is unlikely to be a causal risk factor for most CVDs.

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