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Sleep, Stress, and Symptoms Among People With Heart Failure During the COVID-19 Pandemic.
O'Connell, M, Jeon, S, Conley, S, Linsky, S, Redeker, NS
The Journal of cardiovascular nursing. 202301;38(2):E55-E60
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COVID-19 pandemic raised concerns about the effects of stress on mental health and sleep deficiency. Cognitive behavioural therapy for insomnia (CBT-I) has been shown to improve sleep quality and insomnia severity, as well as anxiety and depression, and may be protective during times of stress, including the COVID-19 pandemic. The aim of this study was to examine changes in sleep, sleep-related cognitions, stress, anxiety, and depression among people with heart failure (HF). This study was a randomised controlled trial of the effects of CBT-I compared with HF self-management education (attention-control condition), the “HeartSleep Study.” Results showed that improvements in insomnia severity, sleep quality, latency, and efficiency, sleep-related cognitions and stress, anxiety, and depression after participation in CBT-I or an HF self-management class were sustained during the pandemic. Authors conclude that their findings confirm the clinical benefits of CBT-I for people with HF and comorbidities and also suggest the potential benefits of HF self-management education.
Abstract
BACKGROUND The COVID-19 pandemic raised concerns about the effects of stress on sleep and mental health, particularly among people with chronic conditions, including people with heart failure (HF). OBJECTIVE The aim of this study was to examine changes in sleep, sleep-related cognitions, stress, anxiety, and depression among people with HF who participated in a randomized controlled trial of cognitive behavioral therapy for insomnia before the COVID-19 pandemic. METHODS Participants self-reported sleep characteristics, symptoms, mood, and stress at baseline, 6 months after cognitive behavioral therapy for insomnia or HF self-management education (attention control), and during the pandemic. RESULTS The sample included 112 participants (mean age, 63 ± 12.9 years; 47% women; 13% Black; 68% New York Heart Association class II or III). Statistically significant improvements in sleep, stress, mood, and symptoms that occurred 6 months post treatment were sustained during the pandemic. CONCLUSIONS Improving sleep and symptoms among people with HF may improve coping during stressful events, and cognitive behavioral therapy for insomnia may be protective.
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Causal relationship between nonalcoholic fatty liver disease and different sleep traits: a bidirectional Mendelian randomized study.
Sun, Z, Ji, J, Zuo, L, Hu, Y, Wang, K, Xu, T, Wang, Q, Cheng, F
Frontiers in endocrinology. 2023;14:1159258
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Non-alcoholic fatty liver disease (NAFLD) is caused by a build up of fat in the liver. NAFLD is becoming more common, with the rise in rates of obesity. There are no specific medications available for NAFLD and patients are advised to manage their diets and lifestyle following diagnosis. The aim of this study was to assess and evaluate the causal relationship between sleep and NAFLD. The study was a two-way Mendelian randomised clinical trial. Results showed that different sleep traits can be the cause of the onset and exacerbation of NAFLD. NAFLD does not change sleep traits and the causal relationship between them is unidirectional. Authors conclude that sleep characteristics are associated with an elevated risk of NAFLD. Thus, enhancing sleep should be considered by healthcare practitioners as part of prevention and management NAFLD.
Abstract
BACKGROUND AND AIMS Non-alcoholic fatty liver disease(NAFLD) is common worldwide and has previously been reported to be associated with sleep traits. However, it is not clear whether NAFLD changes sleep traits or whether the changes in sleep traits lead to the onset of NAFLD. The purpose of this study was to investigate the causal relationship between NAFLD and changes in sleep traits using Mendelian randomization. METHODS We proposed a bidirectional Mendelian randomization (MR) analysis and performed validation analyses to dissect the association between NAFLD and sleep traits. Genetic instruments were used as proxies for NAFLD and sleep. Data of genome-wide association study(GWAS) were obtained from the center for neurogenomics and cognitive research database, Open GWAS database and GWAS catalog. Three MR methods were performed, including inverse variance weighted method(IVW), MR-Egger, weighted median. RESULTS In total,7 traits associated with sleep and 4 traits associated with NAFLD are used in this study. A total of six results showed significant differences. Insomnia was associated with NAFLD (OR(95% CI)= 2.25(1.18,4.27), P = 0.01), Alanine transaminase levels (OR(95% CI)= 2.79(1.70, 4.56), P =4.71×10-5) and percent liver fat(OR(95% CI)= 1.31(1.03,1.69), P = 0.03). Snoring was associated with percent liver fat (1.15(1.05,1.26), P =2×10-3), alanine transaminase levels (OR(95% CI)= 1.27(1.08,1.50), P =0.04).And dozing was associated with percent liver fat(1.14(1.02,1.26), P =0.02).For the remaining 50 outcomes, no significant or definitive association was yielded in MR analysis. CONCLUSION Genetic evidence suggests putative causal relationships between NAFLD and a set of sleep traits, indicating that sleep traits deserves high priority in clinical practice. Not only the confirmed sleep apnea syndrome, but also the sleep duration and sleep state (such as insomnia) deserve clinical attention. Our study proves that the causal relationship between sleep characteristics and NAFLD is the cause of the change of sleep characteristics, while the onset of non-NAFLD is the cause of the change of sleep characteristics, and the causal relationship is one-way.
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Sleep loss disrupts the neural signature of successful learning.
Guttesen, AÁV, Gaskell, MG, Madden, EV, Appleby, G, Cross, ZR, Cairney, SA
Cerebral cortex (New York, N.Y. : 1991). 2023;33(5):1610-1625
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Understanding how sleep disturbances impair learning and memory is increasingly important in modern society, where many people fail to regularly obtain an adequate amount of sleep. The aim of this study was to investigate the relationship between sleep-associated consolidation and next-day learning and how suppressing slow-wave activity (SWA) [during slow-wave sleep, electrical activity in the brain changes while the body relaxes into deep and restorative rest] contributes to this relationship. This study was a within-subjects (n = 30), crossover design which showed that sleep improved both memory retention and next-day learning however, there was no evidence of a relationship between these measures or with SWA. Furthermore, an absence of sleep disrupts the neural operations underpinning memory encoding, leading to suboptimal performance. Authors conclude that an extended lack of sleep might disrupt the ability to draw upon semantic knowledge when encoding novel associations, necessitating the use of more surface-based and ultimately suboptimal routes to learning.
Abstract
Sleep supports memory consolidation as well as next-day learning. The influential "Active Systems" account of offline consolidation suggests that sleep-associated memory processing paves the way for new learning, but empirical evidence in support of this idea is scarce. Using a within-subjects (n = 30), crossover design, we assessed behavioral and electrophysiological indices of episodic encoding after a night of sleep or total sleep deprivation in healthy adults (aged 18-25 years) and investigated whether behavioral performance was predicted by the overnight consolidation of episodic associations from the previous day. Sleep supported memory consolidation and next-day learning as compared to sleep deprivation. However, the magnitude of this sleep-associated consolidation benefit did not significantly predict the ability to form novel memories after sleep. Interestingly, sleep deprivation prompted a qualitative change in the neural signature of encoding: Whereas 12-20 Hz beta desynchronization-an established marker of successful encoding-was observed after sleep, sleep deprivation disrupted beta desynchrony during successful learning. Taken together, these findings suggest that effective learning depends on sleep but not necessarily on sleep-associated consolidation.
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Sleep disruption and activation of cellular inflammation mediate heightened pain sensitivity: a randomized clinical trial.
Irwin, MR, Olmstead, R, Bjurstrom, MF, Finan, PH, Smith, MT
Pain. 2023;164(5):1128-1137
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Sleep disturbance is associated with elevated levels of inflammation. Experimental studies have found that even a modest amount of sleep loss activates inflammatory processes. Experimental sleep disruption also induces alterations in sleep architecture including loss of slow wave or N3 sleep and loss of rapid eye movement sleep. The aim of this study was to clarify whether changes in the amount of N3 sleep and cellular inflammation mediate thermal pain sensitivity (i.e., heat pain threshold) in response to experimental sleep disruption. This study was a secondary analysis (assessor-blind) of a randomised controlled trial. The enrolled participants were randomised to 1 of 2 groups: 2 nights of undisturbed sleep (US) and 2 nights of sleep disruption or forced awakening (FA). Participants underwent 2 consecutive nights of US (or FA), followed by a 2-week washout interval in their home environment, and then completed 2 consecutive nights of the opposing sleep condition FA (or US). Results showed that in healthy adults, experimental disruption of sleep due to the administration of FA induced a significant decrease in heat pain threshold, as compared with responses after US. Experimental manipulation of sleep with FA also led to disturbance in sleep continuity and changes in sleep architecture, including loss of N3 sleep. Moreover, in the morning after FA, there was a robust activation of cellular inflammation Authors conclude that the differential loss of N3 sleep and increases in cellular inflammation may be important drivers of pain sensitivity in response to sleep disruption.
Abstract
Sleep loss heightens pain sensitivity, but the pathways underlying this association are not known. Given that experimental sleep disruption induces increases in cellular inflammation as well as selective loss of slow wave, N3 sleep, this study examined whether these mechanisms contribute to pain sensitivity following sleep loss in healthy adults. This assessor-blinded, cross-over sleep condition, single-site, randomized clinical trial enrolled 95 healthy adults (mean [SD] age, 27.8 [6.4]; female, 44 [53.7%]). The 2 sleep conditions were 2 nights of undisturbed sleep (US) and 2 nights of sleep disruption or forced awakening (FA, 8 pseudorandomly distributed awakenings and 200 minutes wake time during the 8-hour sleep opportunity), administered in a cross-over design after 2 weeks of washout and in a random order (FA-US; US-FA). Primary outcome was heat pain threshold (hPTH). Sleep architecture was assessed by polysomnography, and morning levels of cellular inflammation were evaluated by Toll-like receptor-4 stimulated monocyte intracellular proinflammatory cytokine production. As compared with US, FA was associated with decreases in the amount of slow wave or N3 sleep ( P < 0.001), increases in Toll-like receptor-4 stimulated production of interleukin-6 and tumor necrosis factor-α ( P = 0.03), and decreases in hPTH ( P = 0.02). A comprehensive causal mediation analysis found that FA had an indirect effect on hPTH by decreases in N3 sleep and subsequent increases in inflammation (estimate=-0.15; 95% confidence interval, -0.30 to -0.03; P < 0.05) with the proportion mediated 34.9%. Differential loss of slow wave, N3 sleep, and increases in cellular inflammation are important drivers of pain sensitivity after sleep disruption.Clinical Trials Registration: NCT01794689.
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The Emergency Medical Services Sleep Health Study: A cluster-randomized trial.
Patterson, PD, Martin, SE, Brassil, BN, Hsiao, WH, Weaver, MD, Okerman, TS, Seitz, SN, Patterson, CG, Robinson, K
Sleep health. 2023;9(1):64-76
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Severe mental and physical fatigue in shift work occupations is widespread, and workplace fatigue impacts a great majority of the Emergency Medical Services (EMS) clinician first responders. The hypothesis of this study was that education and training focused on sleep health and fatigue, delivered in an asynchronous manner and tailored to EMS shift workers, would result in improvements in sleep quality and a reduction in self-reported fatigue after a 3-month study interval. This study was a cluster-randomised, 2-arm randomised trial with a wait-list control group. EMS agencies (clusters) were randomised to either the intervention group or a wait-list control group. Results showed that intention-to-treat analyses revealed no differences in measures of sleep quality or fatigue at 3 months or 6 months follow-up. Per protocol analyses showed that the greater the number of education modules viewed, the greater the improvement in sleep quality and the greater the reduction in fatigue at 3-month follow-up. Authors conclude that the findings of this study may be useful to EMS administrators when designing fatigue risk management programmes.
Abstract
BACKGROUND Greater than half of emergency medical services (EMS) clinician shift workers report poor sleep, fatigue, and inadequate recovery between shifts. We hypothesized that EMS clinicians randomized to receive tailored sleep health education would have improved sleep quality and less fatigue compared to wait-list controls after 3 months. METHODS We used a cluster-randomized, 2-arm, wait-list control study design (clinicaltrials.gov identifier: NCT04218279). Recruitment of EMS agencies (clusters) was nationwide. Our study was powered at 88% to detect a 0.4 standard deviation difference in sleep quality with 20 agencies per arm and a minimum of 10 individuals per agency. The primary outcome was measured using the Pittsburgh Sleep Quality Index (PSQI) at 3-month follow-up. Our intervention was accessible in an online, asynchronous format and comprised of 10 brief education modules that address fatigue mitigation topics prescribed by the American College of Occupational Environmental Medicine. RESULTS In total, 36 EMS agencies and 678 individuals enrolled. Attrition at 3 months did not differ by study group (Intervention = 17.4% vs. Wait-list control = 18.2%; p = .37). Intention-to-treat analyses detected no differences in PSQI and fatigue scores at 3 months. Per protocol analyses showed the greater the number of education modules viewed, the greater the improvement in sleep quality and the greater the reduction in fatigue (p < .05). CONCLUSIONS While intention-to-treat analyses revealed no differences in sleep quality or fatigue at 3 months, per protocol findings identified select groups of EMS clinician shift workers who may benefit from sleep health education. Our findings may inform fatigue risk management programs.
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Sleep-Opt-In: A Randomized Controlled Pilot Study to Improve Sleep and Glycemic Variability in Adults With Type 1 Diabetes.
Martyn-Nemeth, P, Duffecy, J, Quinn, L, Steffen, A, Baron, K, Chapagai, S, Burke, L, Reutrakul, S
The science of diabetes self-management and care. 2023;49(1):11-22
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Insufficient sleep (insufficient total sleep time) and irregular sleep timing (variability in the occurrence of sleep within a 24-hour period) are increasingly recognized as important contributors to glycaemic control and variability in type 1 diabetes (T1D). The aims of this study were to evaluate the feasibility and acceptability of a sleep intervention (Sleep-Opt-In) targeted for adults with type 1 diabetes with short or irregular sleep and to examine the effects of Sleep-Opt-In on sleep duration and regularity, glucose indices, and patient-reported outcomes. This study was a randomised controlled parallel trial design. Participants (n=14) were randomly assigned to either the Sleep-Opt-In intervention or a Healthy Living attention control group. Results showed that: - Sleep-Opt-In was feasible and acceptable to the target population. - participants with objectively confirmed short or irregular sleep, sleep irregularity improved by 25 minutes on average, whereas sleep duration improved only negligibly (8 minutes). - the control group experienced an increase in sleep duration but no change in sleep regularity. Authors conclude that Sleep-Opt-In is feasible, acceptable, and promising for further evaluation to improve sleep duration or regularity, glucose parameters and important patient reported outcomes of diabetes distress, daytime sleepiness, fatigue and depressive mood in the T1D population.
Abstract
PURPOSE The purpose of this study was to evaluate the feasibility and acceptability of a technology-assisted behavioral sleep intervention (Sleep-Opt-In) and to examine the effects of Sleep-Opt-In on sleep duration and regularity, glucose indices, and patient-reported outcomes. Short sleep duration and irregular sleep schedules are associated with reduced glycemic control and greater glycemic variability. METHODS A randomized controlled parallel-arm pilot study was employed. Adults with type 1 diabetes (n = 14) were recruited from the Midwest and randomized 3:2 to the sleep-optimization (Sleep-Opt-In) or Healthy Living attention control group. Sleep-Opt-In was an 8-week, remotely delivered intervention consisting of digital lessons, sleep tracker, and weekly coaching phone calls by a trained sleep coach. Assessments of sleep (actigraphy), glucose (A1C, continuous glucose monitoring), and patient-reported outcomes (questionnaires for daytime sleepiness, fatigue, diabetes distress, and depressive mood) were completed at baseline and at completion of the intervention. RESULTS Sleep-Opt-In was feasible and acceptable. Those in Sleep-Opt-In with objectively confirmed short or irregular sleep demonstrated an improvement in sleep regularity (25 minutes), reduced glycemic variability (3.2%), and improved time in range (6.9%) compared to the Healthy Living attention control group. Patient-reported outcomes improved only for the Sleep-Opt-In group. Fatigue and depressive mood improved compared to the control. CONCLUSIONS Sleep-Opt-In is feasible, acceptable, and promising for further evaluation as a means to improve sleep duration or regularity in the population of people with type 1 diabetes.
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Effects of sleep fragmentation and partial sleep restriction on heart rate variability during night.
Schlagintweit, J, Laharnar, N, Glos, M, Zemann, M, Demin, AV, Lederer, K, Penzel, T, Fietze, I
Scientific reports. 2023;13(1):6202
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Adequate sleep is essential for physical and mental health and wellbeing. This randomised cross-over study of 20 healthy men compared the effects of sleep restriction (sleeping 5 instead of 8 hours) and sleep fragmentation (being woken hourly during the 8-hour sleeping time) on heart rate (HR) and heart rate variability (HRV), both markers of the sympathetic (“fight or flight”) and parasympathetic (“rest and digest”) arms of the autonomic nervous system. Sleep restriction increased HR and decreased HRV, suggesting increased sympathetic and decreased parasympathetic activation. This affected the lighter sleep phases in particular. Sleep fragmentation, on the other hand, did not affect HR or HRV compared to baseline. The authors conclude that sleep restriction may cause more stress than sleep fragmentation.
Abstract
We developed a cross-over study design with two interventions in randomized order to compare the effects of sleep fragmentation and partial sleep restriction on cardiac autonomic tone. Twenty male subjects (40.6 ± 7.5 years old) underwent overnight polysomnography during 2 weeks, each week containing one undisturbed baseline night, one intervention night (either sleep restriction with 5 h of sleep or sleep fragmentation with awakening every hour) and two undisturbed recovery nights. Parameters of heart rate variability (HRV) were used to assess cardiac autonomic modulation during the nights. Sleep restriction showed significant higher heart rate (p = 0.018) and lower HRV-pNN50 (p = 0.012) during sleep stage N1 and lower HRV-SDNN (p = 0.009) during wakefulness compared to the respective baseline. For HR and SDNN there were recovery effects. There was no significant difference comparing fragmentation night and its baseline. Comparing both intervention nights, sleep restriction had lower HRV high frequency (HF) components in stage N1 (p = 0.018) and stage N2 (p = 0.012), lower HRV low frequency (LF) (p = 0.007) regarding the entire night and lower SDNN (p = 0.033) during WASO during sleep. Sleep restriction increases sympathetic tone and decreases vagal tone during night causing increased autonomic stress, while fragmented sleep does not affect cardiac autonomic parameters in our sample.
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Late, but Not Early, Night Sleep Loss Compromises Neuroendocrine Appetite Regulation and the Desire for Food.
Meyhöfer, S, Chamorro, R, Hallschmid, M, Spyra, D, Klinsmann, N, Schultes, B, Lehnert, H, Meyhöfer, SM, Wilms, B
Nutrients. 2023;15(9)
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Sleep loss has become common in modern societies. In parallel, the prevalence of obesity and metabolic comorbidities, such as type 2 diabetes, are rising worldwide. The aim of this study was to investigate the impact of the specific timing of sleep loss compared to regular sleep on appetite regulation and desire for foods. This study was a randomised, balanced, crossover design on three conditions spaced at least three and at maximum five weeks apart. Fifteen healthy young male participants were included. All participants had a regular sleep–wake cycle during the last four weeks before the experiments, with a minimum of 7 hours sleep per night. Results showed that ‘late-night sleep loss’, but not ‘early-night sleep loss’, elevated ghrelin concentrations, as well as feelings of hunger and appetite, and desire for food during the subsequent morning. Leptin concentrations were not affected by acute sleep loss per se, nor timing of sleep loss. Authors conclude that their findings could be of clinical interest to healthcare practitioners working with sleep deprived individuals, regarding sleep hygiene and appropriate sleep recommendations.
Abstract
OBJECTIVE There is evidence that reduced sleep duration increases hunger, appetite, and food intake, leading to metabolic diseases, such as type 2 diabetes and obesity. However, the impact of sleep timing, irrespective of its duration and on the regulation of hunger and appetite, is less clear. We aimed to evaluate the impact of sleep loss during the late vs. early part of the night on the regulation of hunger, appetite, and desire for food. METHODS Fifteen normal-weight ([mean ± SEM] body-mass index: 23.3 ± 0.4 kg/m2) healthy men were studied in a randomized, balanced, crossover design, including two conditions of sleep loss, i.e., 4 h sleep during the first night-half ('late-night sleep loss'), 4 h sleep during the second night-half ('early-night sleep loss'), and a control condition with 8h sleep ('regular sleep'), respectively. Feelings of hunger and appetite were assessed through visual analogue scales, and plasma ghrelin and leptin were measured from blood samples taken before, during, and after night-time sleep. RESULTS Ghrelin and feelings of hunger and appetite, as well as the desire for food, were increased after 'late-night sleep loss', but not 'early-night sleep loss', whereas leptin remained unaffected by the timing of sleep loss. CONCLUSIONS Our data indicate that timing of sleep restriction modulates the effects of acute sleep loss on ghrelin and appetite regulation in healthy men. 'Late-night sleep loss' might be a risk factor for metabolic diseases, such as obesity and type 2 diabetes. Thereby, our findings highlight the metabolic relevance of chronobiological sleep timing.
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Effects of mental contrasting on sleep and associations with stress: A randomized controlled trial.
Schmidt, LI, Neubauer, AB, Stoffel, M, Ditzen, B, Schirmaier, J, Farrenkopf, C, Sieverding, M
Journal of health psychology. 2023;28(11):1057-1071
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Insufficient sleep is a widespread problem. For adults between 18 and 64 years, the National Sleep Foundation generally recommends a range of nightly sleep duration from 7 to 9 hours. The aim of this study was to test a self-regulatory intervention based on mental contrasting with implementation intentions (MCII) against the effects of sleep hygiene information only. This study was a single-blinded, randomised controlled trial with daily/nightly assessments in a baseline-week and analog daily/nightly assessments in a post-intervention week. Participants were randomly assigned to one of the two groups. Results indicated an increase in sleep quality and subjective (but not objective) sleep duration from baseline to post-intervention period. Additionally, regarding subjective stress, associations with daily sleep parameters were largely confirmed. Authors conclude that future research should include booster sessions and evaluate MCII effects in the longer run. Furthermore, a better understanding of the causes regarding insufficient sleep among specific target groups and their degree of controllability is required to develop individually targeted interventions.
Abstract
Mental contrasting with implementation intentions (MCII) has been successfully applied to improve health-related behaviors (e.g. exercise). We explored its effectiveness to improve sleep outcomes beyond effects of sleep hygiene (SH) information, and investigated associations with stress. Eighty university employees (mean age: 29.6, SD = 4.5) were randomized to either a MCII + SH or a SH-only condition. During a baseline-week and a post-intervention week, sleep duration (Fitbit Alta and self-report), sleep quality, and stress were assessed daily and saliva was collected to assess the cortisol awakening response (CAR). In total, self-reported sleep quality and duration increased, but there was no meaningful condition*week interaction for sleep parameters or CAR. Higher average stress was associated with shorter sleep duration and lower sleep quality. Within-person, days with higher stress were followed by nights with lower sleep quality. Despite overall improvements, effects of MCII were not confirmed. MCII might be less effective to improve behaviors which are less controllable.
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Effect of Sleep Changes on Health-Related Quality of Life in Healthy Children: A Secondary Analysis of the DREAM Crossover Trial.
Taylor, RW, Haszard, JJ, Jackson, R, Morrison, S, Beebe, DW, Meredith-Jones, KA, Elder, DE, Galland, BC
JAMA network open. 2023;6(3):e233005
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While inadequate or poor-quality sleep has been associated with a wide range of adverse physical and psychological health outcomes in infants, children and adolescents, interest is growing regarding the association of sleep with more global indices of health, such as health-related quality of life (HRQOL). The aim of this study was to determine the effect of mild sleep deprivation on HRQOL in children without major sleep issues. This study was a secondary analysis based on the DREAM randomised crossover trial. Children were randomised to one of two groups (sleep restriction or sleep extension) with a 1-week washout in between. Bedtimes were manipulated to be 1 hour later (sleep restriction) and 1 hour earlier (sleep extension) than usual for 1 week each. Wake times were unchanged. Results showed that after only 1 week of receiving 39 minutes less sleep per night between sleep conditions, children reported significantly lower HRQOL in terms of their physical and overall well-being and ability to cope well at school. Authors conclude that ensuring children receive sufficient good-quality sleep is an important child health issue.
Abstract
IMPORTANCE Little is known regarding the effect of poor sleep on health-related quality of life (HRQOL) in healthy children. OBJECTIVE To determine the effect of induced mild sleep deprivation on HRQOL in children without major sleep issues. DESIGN, SETTING, AND PARTICIPANTS This prespecified secondary analysis focused on HRQOL, a secondary outcome of the Daily Rest, Eating, and Activity Monitoring (DREAM) randomized crossover trial of children who underwent alternating weeks of sleep restriction and sleep extension and a 1-week washout in between. The DREAM trial intervention was administered at participants' homes between October 2018 and March 2020. Participants were 100 children aged 8 to 12 years who lived in Dunedin, New Zealand; had no underlying medical conditions; and had parent- or guardian-reported normal sleep (8-11 hours/night). Data were analyzed between July 4 and September 1, 2022. INTERVENTIONS Bedtimes were manipulated to be 1 hour later (sleep restriction) and 1 hour earlier (sleep extension) than usual for 1 week each. Wake times were unchanged. MAIN OUTCOMES AND MEASURES All outcome measures were assessed during both intervention weeks. Sleep timing and duration were assessed using 7-night actigraphy. Children and parents rated the child's sleep disturbances (night) and impairment (day) using the 8-item Pediatric Sleep Disturbance and 8-item Sleep-Related Impairment scales of the Patient-Reported Outcomes Measurement Information System questionnaire. Child-reported HRQOL was assessed using the 27-item KIDSCREEN questionnaire with 5 subscale scores and a total score. Both questionnaires assessed the past 7 days at the end of each intervention week. Data were presented as mean differences and 95% CIs between the sleep restriction and extension weeks and were analyzed using intention to treat and an a priori difference in sleep of at least 30 minutes per night. RESULTS The final sample comprised 100 children (52 girls [52%]; mean [SD] age, 10.3 [1.4] years). During the sleep restriction week, children went to sleep 64 (95% CI, 58-70) minutes later, and sleep offset (wake time) was 18 (95% CI, 13-24) minutes later, meaning that children received 39 (95% CI, 32-46) minutes less of total sleep per night compared with the sleep extension week in which the total sleep time was 71 (95% CI, 64-78) minutes less in the per-protocol sample analysis. Both parents and children reported significantly less sleep disturbance at night but greater sleep impairment during the day with sleep restriction. Significant standardized reductions in physical well-being (standardized mean difference [SMD], -0.28; 95% CI, -0.49 to -0.08), coping in a school environment (SMD, -0.26; 95% CI, -0.42 to -0.09), and total HRQOL score (SMD, -0.21; 95% CI, -0.34 to -0.08) were reported by children during sleep restriction, with an additional reduction in social and peer support (SMD, -0.24; 95% CI, -0.47 to -0.01) in the per-protocol sample analysis. CONCLUSIONS AND RELEVANCE Results of this secondary analysis of the DREAM trial indicated that even 39 minutes less of sleep per night for 1 week significantly reduced several facets of HRQOL in children. This finding shows that ensuring children receive sufficient good-quality sleep is an important child health issue. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry: ACTRN12618001671257.