Sleep advances : a journal of the Sleep Research Society最新文献

Study objectives: This study evaluated the differences in obesity-related outcomes across multiple adolescent sleep health domains, including circadian misalignment (CM), circadian timing, and sleep duration.

Methods: 53 adolescents (aged 14-18; body mass index [BMI] percentile < 95%; 53.7% female) completed a cross-sectional study that included baseline assessment of height; weight; demographics; and 10 days assessment of sleep, physical activity, and dietary outcomes. Sleep duration, sleep timing, and physical activity data were collected from all participants using wrist-worn and waist-worn actigraphs. Dietary intake was measured using the Automated Self-Administered 24 Hours dietary recalls on 3 randomized days. Circadian timing was measured using dim-light melatonin onset (DLMO), and CM was calculated as the distance of time between DLMO and the average sleep onset time. Participants were categorized into groups (early vs late circadian timing, aligned vs misaligned circadian timing, and adequate sleep vs short sleep), and differences in dietary outcomes, physical activity, and BMI were analyzed using t-tests.

Results: Adolescents with later DLMO (M = 21:30 ± 1:11) had 0.63 higher BMI and 0.47% less averaged daily percent fat consumption than adolescents with early DLMO. Adolescents with CM (M = 1:42 ± 1:06) consumed 451.77 more averaged daily kcal consumption compared with those with circadian alignment. No statistically significant differences were found in any obesity-related outcome between sleep duration groups.

Conclusions: Our cross-sectional findings indicate that focusing on sleep timing and circadian alignment, beyond sleep duration, may promote better health outcomes for healthy adolescents. The findings of this study could enhance sleep education and inform clinical models for prevention efforts for pediatric obesity.

Study objectives: These studies disentangle the relationships between wanting to nap (nap desire), actually napping (nap behavior), and depressed and anxious mood. Study 1 partially replicated and extended findings connecting napping and depressed and anxious mood. Study 2 explored the distinction between nap desire and behavior using a new, larger sample and a different technique.

Methods: Study 1 used a longitudinal, multimethod approach to understand napping and mood among undergraduate students in the United States (N = 104). In Study 2, a cross-sectional survey was conducted on adults over 25 in the continental United States (N = 1406), including items from the DASS-21 and questions about nap desire and behavior.

Results: Study 1 found a significant relationship between same-day napping behavior and depressed mood (M _nap = 1.61, SE _nap = 0.08 vs. M _{no nap} = 1.44, SE _{no nap} = 0.06, p = .018) but not anxious mood (p = .766). Study 2 partially replicated those findings; Analysis of Covariance (ANCOVA) showed that napping desire had a significant effect on anxious (F(1, 1291) = 6.86, p = .009, partial η² = .005) and depressed mood (F(1, 1291) = 13.46, p < .001, partial η² = .010), accounting for age, gender, and restedness, but napping behavior did not add to that effect.

Conclusions: Wanting to nap is related to greater depressed and anxious mood, but actual napping did not add to that relationship. These results have implications for clinicians using sleep assessment as a screening tool for mental health and highlight the need for further research on napping motivation.

Study objectives: To evaluate sex-specific associations between known or suspected obstructive sleep apnea (OSA) and dementia risk over 10 years among older women and men.

Methods: This study included 18 815 women and men age 50+ years (dementia-free at baseline) who participated in the Health and Retirement Study (HRS), a nationally representative cohort of US adults. Presence of OSA was defined by self-reported diagnosis or key HRS items that correspond to elements of a validated OSA screening tool (STOP-Bang). Incident dementia cases were identified using a validated, HRS-based algorithm derived from objective cognitive assessments. Survey-weighted regression models based on pseudo-values were utilized to estimate sex- and age-specific differences in cumulative incidence of dementia by OSA status.

Results: Data from 18 815 adults were analyzed, of which 9% of women and 8% of men (weighted proportions) met criteria for incident dementia. Known/suspected OSA was more prevalent in men than in women (weighted proportions 68% vs. 31%). Unadjusted sex-stratified analyses showed that known/suspected OSA was associated with higher cumulative incidence of dementia across ages 60-84 years for women and men. By age 80, relative to adults without known/suspected OSA, the cumulative incidence of dementia was 4.7% higher (CI 2.8%, 6.7%) for women with known/suspected OSA, and 2.5% (CI 0.5%, 4.5%) for men with known/suspected OSA, respectively. Adjusted associations between age-specific OSA and cumulative incidence of dementia attenuated for both women and men but remained statistically significant.

Conclusions: OSA contributes to dementia risk in older adults, particularly women. This study illuminates the impact of a potentially modifiable yet frequently overlooked risk factor for dementia onset.

Background: Deep brain stimulation (DBS) is a standard treatment for movement disorders, epilepsy, and others, yet its influence on postprocedural sleep quality remains an under-researched topic.

Study objectives: We performed a systematic review and meta-analysis of all DBS effects on sleep.

Methods: The use of preferred reporting items for systematic reviews and meta-analyses guidelines (PRISMA) was utilized. We extracted demographic data, disease type/duration, DBS target, stimulation laterality (unilateral vs bilateral), follow-up lengths, and sleep pre/post-op measurements with polysomnography or across four standard sleep scales. The Cochrane methodology for evaluating RCTs was employed using the risk of bias assessments, data synthesis, and statistical methods, including forest plots (risk ratio; M-H random effects; 95% CI).

Results: Sixty-three studies were included in the overall analysis, representing 3022 patients. In a subgroup meta-analysis of subthalamic nucleus (STN) DBS for Parkinson's disease (PD), patients showed significant sleep improvement at three but not 12 months postoperatively with PDSS, at 12 but not 3 months with Epworth sleep scale, and at 6 months with nonmotor symptom scale. Pittsburgh sleep quality index (PSQI) showed no significant improvement in sleep at any time. Bilateral DBS showed significantly more improvement than unilateral DBS in the PSQI at 6 but not 3 months. Polysomnography showed significant sleep improvement at 1 week but not at 3 or 6 months. Most studies showed no significant sleep improvement for globus pallidus internus, centromedian thalamus, and ventral intermediate nucleus DBS.

Conclusions: STN-DBS for PD likely improves sleep; however, significant standardization in sleep scale outcome reporting and follow-up time is needed to effectively determine the target-dependent effects of DBS surgery on sleep.

Study objectives: Since later school start times are associated with increased sleep duration, our objectives were to identify mean school start times, the proportion of schools that start at 08:30 am or later, and determine if rurality was associated with school start times.

Methods: We conducted web searches for start times of 1759 standard schools in British Columbia (BC), Canada. Schools were categorized as elementary, elementary-middle, middle, middle-high, or high school and linked to an Index of Remoteness. We calculated descriptive statistics and used Analysis of Variance to assess for start time differences by grade category. We used Spearman's rank-order correlation to assess if there was a relationship between start time and rurality.

Results: We found start times for 1553 (88.2%) of the included schools. The mean start time was 08:40 am (SD = 0:15) and ranged from 07:10 am to 09:45 am. There was a significant effect of grade category on start time, F (5, 1600) = 6.03, p < .001, η ² =.02, 95% CI [.006, .031] such that elementary-middle schools started significantly earlier (M = 08:34 am, SD = 0:17) than other grade categories. Overall, 1388 (86.4%) schools started at 08:30 am or later. Rurality was significantly correlated with school start time (r = -.198), such that more rural schools started earlier.

Conclusions: For the most part, school start times in BC meet recommendations that support childhood and adolescent sleep. Future research is needed to understand factors that promote the successful implementation of delayed school start times.

Study objectives: To examine the difference in psychiatric comorbidity of Danish patients with Narcolepsy type 1 (NT1), Narcolepsy type 2 (NT2), and idiopathic hypersomnia (IH).

Methods: Polysomnography (PSG), Multiple Sleep Latency Test (MSLT), and lumbar puncture were performed on 505 patients referred to a sleep clinic for diagnostic evaluation of hypersomnia. Diagnosis, clinical characteristics, electrophysiologic data, and cerebrospinal fluid hypocretin-1 (Csf-Hcrt-1) results were retrieved. Subsequently, the patients were identified in the Danish national health registers to collect information on psychiatric diagnoses and psychotropic medication use 10 years before the sleep disorder diagnosis. The prevalence of psychiatric comorbidities per hypersomnia group was compared to a 1:4 general population control group matched on age, gender, and educational level.

Results: A diagnosis of NT2 and IH was significantly associated with total psychiatric comorbidity compared to the matched controls but not NT1 (NT1: OR = 1.5; NT2: OR = 6.1; IH: OR = 5.2). NT1 was not significantly associated with any psychiatric disorder. NT2 was significantly associated with schizophrenia spectrum disorders (OR = 8.5), mood disorders (OR = 6.7), neurotic disorders (OR = 3.8), personality disorders (OR = 3.1), and behavioral and emotional disorders (OR = 4.3). IH was significantly associated with schizophrenia spectrum disorders (OR = 3.3), mood disorders (OR = 5.9), neurotic disorders (OR = 3.0), and behavioral and emotional disorders (OR = 4.0).

Conclusions: NT2 and IH had a close relationship to psychiatric disorders before diagnosis of their sleep disorder, while NT1 did not. This supports previous studies finding higher rates of psychiatric illness in patients with hypersomnia; however, it highlights the similarity between NT2 and IH. We believe this link to psychiatric disorders could play a role in the pathophysiology. Future studies evaluating the relation between hypersomnias of central origin and psychiatric diseases should include hypersomnia subclassifications to further the understanding of the differences in these disorders.

Study objectives: This study aimed to outline the strategy and outcomes of a study team in recruiting participants for an infant sleep study via social media during the COVID-19 pandemic, to assess the feasibility of recruitment via social media, and to quantitatively and qualitatively explore parental satisfaction and perceptions of recruitment via social media.

Methods: The assessing sleep in infants with early-onset atopic dermatitis by longitudinal evaluation (SPINDLE) study recruited infants with and without atopic dermatitis for a longitudinal study assessing sleep. Infants were recruited via social media and their parents were interviewed to explore their experience of recruitment via social media.

Results: In total, 57 controls and 33 cases were recruited. Of the 45 controls recruited via social media, 43 (95.6%) were recruited via Instagram and 2 (4.4%) were recruited via Twitter. Of the seven cases recruited via social media, 6 (85.7%) were recruited via Facebook (via sharing of Instagram posts by third parties on Facebook) and 1 (14.3%) was recruited via Instagram. All (100%, n = 28) mothers recruited via social media who completed the full study were satisfied with this approach to recruitment. Specific reasons why mothers reported engaging following exposure to the social media posts included the benefit of additional health checks for their baby, the benefit to scientific advancement, and the opportunity for a stimulating outing following the COVID-19 lockdowns.

Conclusions: Our experience highlights parents' acceptance of recruitment via social media, the optimization of time and financial resources, and the benefit of using internet-based recruitment during a pandemic.

Sleep and circadian disturbances are common and are experienced more often by Black compared to White individuals. We conducted an observational study of sleep that was ancillary to an ongoing cohort study, Coronary Artery Disease in Young Adults (CARDIA). The goal of the ancillary study will be to examine potential determinants of sleep/circadian disparities between Black and White adults in future analyses. Herein we describe the study design and methodology. Our ancillary study coincided with the Year 35 examination of the CARDIA study and was conducted in two phases (due to the SARS-COV-2 pandemic). Phase 1 involved only questionnaires to assess chronotype, restless legs syndrome, and the household sleep environment. Phase 2 involved three additional questionnaires to assess sleep quality, daytime sleepiness and insomnia symptoms, as well as two sleep devices. Participants wore a wrist activity monitor to assess sleep-wake patterns and light levels for 7 days and a home sleep apnea test for 1 night. A subset also had devices objectively record light, temperature, and sound levels in their bedrooms for 7 days. Sample sizes ranged based on assessment from 2200 to 2400, completing Phase 1 questionnaires, 899 with valid wrist actigraphy data, and 619 with a valid sleep apnea test. The data will be part of the full CARDIA dataset, which is available to researchers.

Study objectives: Obstructive sleep apnea (OSA) can induce excessive sleepiness, causing work-related injuries and low productivity. Most individuals with OSA in the United Kingdom are undiagnosed, and thus, theoretically, workplace screening, might by identifying these individuals improve both their individual health and overall productivity. However, the prevalence of OSA in different workplaces is unclear. This study aimed to estimate the prevalence of OSA by industries and occupations in England.

Methods: The Health Survey for England 2019 dataset was combined with Sleep Heart Health Study dataset. We applied multiple imputation for the combined dataset to estimate OSA in the English population aged 40-64. We estimated the pooled prevalence of OSA by both industry and occupation by separating samples by Standard Industry Classification and Standard Occupation Classification.

Results: The overall OSA prevalence estimated by imputation for ages 40-64 was 17.8% (95% CI = 15.9% to 19.9%). Separating those samples into industrial/occupational groups, the estimated prevalence of OSA varied widely by industry/occupation. Descriptive analysis revealed that the estimated prevalence of OSA was relatively higher in the Accommodation and food, Public administration and defence; compulsory social security, Construction industries, and Protective service occupations, health and social care associate professionals, and skilled construction and building trades occupations.

Conclusions: In England in 2019, Accommodation and food, Public administration and defence; compulsory social security, Construction industries, and Protective service occupations, health and social care associate professionals, and skilled construction and building trades occupations showed a relatively higher prevalence of OSA indicating that they may be target populations for workplace screening.

Introduction: Sleep loss is common during the perinatal period; however, few studies have assessed potential consequences of insufficient sleep for postnatal emotional responding, a key contributor to parenting behaviors with implications for parent-infant bonding and mental health. To generate hypotheses for future work assessing perinatal sleep and emotion-related outcomes, this pilot study explored whether prenatal sleep duration predicted postnatal emotional responding in a sample at risk for postpartum depression.

Methods: Participants were nine birthing parents with a prior mood disorder who were not in a current episode at enrollment. We estimated sleep with actigraphy collected for 1 week at 33 weeks' gestation and at 2 and 6 weeks postpartum. Following each week, participants completed an emotional evaluation task, rating the valence and arousal of standardized images from the International Affective Picture System. We tested whether average prenatal (33 weeks) nighttime sleep duration predicted concurrent and future responsiveness to emotional images, quantified by participants' reaction times and arousal/valence ratings.

Results: Shorter prenatal sleep duration predicted faster reaction times, both concurrently and at 2 weeks postpartum (ps ≤ .05), as well as lower arousal ratings for negative images at 2 and 6 weeks postpartum (ps ≤ .043).

Conclusions: In this small sample of birthing parents at risk for postpartum depression, shorter prenatal sleep duration predicted faster reactions to emotional stimuli and blunted arousal responses to negative images. Although preliminary, these findings justify further study of the role of prenatal sleep in postpartum emotional responses and how these factors may impact parent-infant outcomes.