Behavioral Sleep Medicine最新文献

Objectives: This cross-sectional study aimed to examine the relationships of sleep timing and sleep variability with depressive symptoms, health-related quality of life (HRQoL), daytime sleepiness, and body mass index (BMI) in adolescents.

Methods: Adolescents from three schools (n = 571, 56% female, 16.3 ± 1.0 years) had their sleep examined by actigraphy, their anthropometrics assessed, and answered a survey. Sleep timing was examined by combining groups of median-dichotomized onset and wakeup times (early onset and early wakeup; early onset and late wakeup; later onset and early wakeup; later onset and later wakeup); sleep variability was based on within-participant standard deviations of onset and wakeup; and sleep duration as the length of time between onset and wakeup. The sleep variables were separated for weekdays and weekend. Mixed linear models were fitted to compare each sleep variable with health-related outcomes.

Results: Higher values of daytime sleepiness were observed in adolescents from the late-early and late-late timing group during the week. Greater sleep midpoint and wakeup variability on weekdays were related with higher daytime sleepiness. Adolescents in the late-late and early-late groups showed higher daytime sleepiness. Increased of all sleep variability variables was related with greater daytime sleepiness. Higher depressive symptoms scores were found among adolescents in the late-early subgroup and with the increase of sleep variability. Participants with greater sleep onset variability and sleep midpoint variability reported less HRQoL.

Conclusions: Not only sleep duration, but sleep timing and variability also relate to health outcomes, and should be addressed by policies and interventions among adolescents.

Objectives: To assess the impact of a school start time (SST) delay on adolescent sleep health during the COVID-19 pandemic, and whether there were differences by learning modality.

Methods: Data were collected from a longitudinal study evaluating sleep, education, and health among high school students in Georgia in 2020. Paired t-tests and multivariable linear regression analyses were conducted to examine changes in sleep duration and timing among 9^th grade students (n = 134) and their association with the learning modality (remote vs. in-person learner).

Results: Students' school day wake times were 1.5 hours later, school night sleep duration was 1.2 hours longer, and social jetlag was 0.9 hours shorter after the school start time delay (all P < .05). The learning modality was a significant predictor of changes in sleep timing but was not associated with changes in sleep duration.

Conclusions: Delayed school start time was associated with positive changes in adolescent sleep health during the COVID-19 pandemic. Sleep timing was affected by the learning modality, however in-person and virtual students had similar gains in sleep duration. Learning modality may be more beneficial for adolescents with early school start times to promote healthier sleep habits.

Objectives: Tobacco smoke exposure (TSE) and poor sleep are public health problems with their own set of consequences. This study assessed whether TSE was associated with sleep duration among U.S. adolescents.

Method: We conducted a secondary analysis of 2013-2018 National Health and Nutrition Examination Survey data including 914 nontobacco-using adolescents ages 16-19 years. TSE measures included cotinine and self-reported home TSE groups including no home TSE, thirdhand smoke (THS) exposure, and secondhand smoke (SHS)+THS exposure. Sleep duration was assessed in hours and categorically as insufficient sleep (recommended hours). Weighted multiple linear regression and multinomial regression models were conducted.

Results: Adolescents with higher log-cotinine levels had higher number of sleep hours (β = 0.31, 95%CI = 0.02,0.60) and were at increased odds of reporting excess sleep (AOR = 1.41, 95%CI = 1.40,1.42), but were at reduced odds of reporting insufficient sleep (AOR = 0.88, 95%CI = 0.87,0.89). Compared to adolescents with no home TSE, adolescents with home THS exposure and home SHS+THS exposure were at increased odds of reporting insufficient sleep (AOR = 2.27, 95%CI = 2.26,2.29; AOR = 2.75, 95%CI = 2.72,2.77, respectively) and excess sleep (AOR = 1.89, 95%CI = 1.87,1.90; AOR = 5.29, 95%CI = 5.23,5.34, respectively).

Conclusions: TSE may affect insufficient and excess sleep duration among adolescents. Eliminating TSE may promote adolescent respiratory and sleep health.

Objective: To obtain insight in the spectrum of narcolepsy symptoms and associated burden in a large cohort of patients.

Methods: We used the Narcolepsy Monitor, a mobile app, to easily rate the presence and burden of 20 narcolepsy symptoms. Baseline measures were obtained and analyzed from 746 users aged between 18 and 75 years with a reported diagnosis of narcolepsy.

Results: Median age was 33.0 years (IQR 25.0-43.0), median Ullanlinna Narcolepsy Scale 19 (IQR 14.0-26.0), 78% reported using narcolepsy pharmacotherapy. Excessive daytime sleepiness (97.2%) and lack of energy were most often present (95.0%) and most often caused a high burden (79.7% and 76.1% respectively). Cognitive symptoms (concentration 93.0%, memory 91.4%) and psychiatric symptoms (mood 76.8%, anxiety/panic 76.4%) were relatively often reported to be present and burdensome. Conversely, sleep paralysis and cataplexy were least often reported as highly bothersome. Females experienced a higher burden for anxiety/panic, memory, and lack of energy.

Conclusions: This study supports the notion of an elaborate narcolepsy symptom spectrum. Each symptom's contribution to the experienced burden varied, but lesser-known symptoms did significantly add to this as well. This emphasizes the need to not only focus treatment on the classical core symptoms of narcolepsy.

Objectives: Identifying those who are most (and least) likely to benefit from a stepped-care approach to cognitive behavioral therapy for insomnia (CBT-I) increases access to insomnia therapies while minimizing resource consumption. The present study investigates non-targeted factors in a single-session of CBT-I that may act as barriers to early response and remission.

Methods: Participants (N = 303) received four sessions of CBT-I and completed measures of subjective insomnia severity, fatigue, sleep-related beliefs, treatment expectations, and sleep diaries. Subjective insomnia severity and sleep diaries were completed between each treatment session. Early response was defined as a 50% reduction in Insomnia Severity Index (ISI) scores and early remission was defined by < 10 on the ISI after the first session.

Results: A single-session of CBT-I significantly reduced subjective insomnia severity scores and diary total wake time. Logistic regression models indicated that lower baseline fatigue was associated with increased odds of early remission (B = -.05, p = .02), and lower subjective insomnia severity (B = -.13, p = .049). Only fatigue was a significant predictor of early treatment response (B = -.06, p = .003).

Conclusions: Fatigue appeared to be an important construct that dictates early changes in perceived insomnia severity. Beliefs about the relationship between sleep and daytime performance may hinder perceived improvements in insomnia symptoms. Incorporating fatigue management strategies and psychoeducation about the relationship between sleep and fatigue may target non-early responders. Future research would benefit from further profiling potential early insomnia responders/remitters.

Background: Epidemiological data on the association between romantic experiences and sleep in adolescents are limited. This study examined the associations of starting a romantic relationship (SRR) and romantic breakups with insomnia symptoms and sleep duration in adolescents.

Methods: A total of 7,072 Chinese adolescents were surveyed in November-December 2015 and 1 year later. A self-administered questionnaire was used to assess SRR, romantic breakups, sleep duration, insomnia symptoms, depressive symptoms, substance use, and demographics.

Results: The mean age of the sample was 14.58 (SD = 1.46) years and half were female. SRR only, breakups only, and both (SRR + breakups) in the past year were reported by 7.0%, 8.4%, and 15.4% of the sample, respectively. At the baseline and 1-year follow-up, 15.2% and 14.7% of the sample had insomnia symptoms and 47.7% and 42.1% reported short sleep duration (<7 h/night), respectively. After adjusting for depressive symptoms, substance use, and demographics, SRR and breakups were significantly associated with 35-45% increased odds of insomnia symptoms at baseline. SRR + breakups were significantly associated with short sleep duration (OR = 1.28, 95%CI = 1.05-1.56). SRR (OR = 1.61, 95%CI = 1.16-2.23) and breakups (OR = 1.43, 95%CI = 1.04-1.96) were significantly associated with increased odds of incident insomnia symptoms at 1-year follow-up. These associations were stronger in younger adolescents (<15 years) than in older adolescents (≥15 years), especially in girls.

Conclusions: The findings suggest that SRR and breakups are associated with insomnia symptoms and short sleep duration, underscoring the importance of romantic relationships education and management of romantic stress for healthy sleep especially in early adolescent girls.

Introduction: Poor sleep quality during pregnancy leads to adverse neonatal outcomes such as low birth weight, intrauterine growth retardation, preterm birth, and operative birth. Though it has many consequences, a limited study was conducted on the prevalence and associated factors of poor sleep quality among pregnant women in Ethiopia.

Objective: This study is aimed to determine poor sleep quality and associated factors among pregnant women attending antenatal care units at the selected referral hospitals.

Methods: Institution-based cross-sectional study was used from April 20 to June 10, 2021. A The data were collected through systematic random sampling. The Pittsburgh Sleep Quality Index (PSQI) was used to assess the outcome variable based on interview.

Results: Out of 423, almost 414 participated in the study with a response rate of 97.9%. The prevalence of poor sleep quality was 54.6% (95% CI: 49.7%, 59%). Based on the trimester; about 44.8%, 36.8%, and 64.2% were observed poor sleep quality in the first, second, and third trimesters, respectively. Third trimester [AOR (Adjusted Odd Ratio) = 4.33; 95% CI (Confidence Interval) (1.43, 13.7)], primigravida [AOR = 4.03; 95% CI (2.59, 7.97)], para ≥2 [AOR = 1.95: 95% CI (1.09, 3.48)], depression [AOR = 4.59: 95% CI (2.31, 9.15)], and perceived stress [AOR = 1.15: 95% CI (1.1, 1.22)] were factors significantly associated.

Conclusion: One in every two pregnant women has poor sleep quality. Depression, perceived stress, gestational age, gravida, and parity were identified as associated factors with poor sleep quality. Therefore, healthcare providers should work on screening and counseling for sleep problems during prenatal checkups.

Introduction: Cannabis is increasingly used to self-treat anxiety and related sleep problems, without clear evidence of either supporting or refuting its anxiolytic or sleep aid effects. In addition, different forms of cannabis and primary cannabinoids ∆9-tetrahydrocannabinol (THC) and cannabidiol (CBD) have differing pharmacological effects.

Methods: Thirty days of daily data on sleep quality and cannabis use were collected in individuals who use cannabis for mild-to-moderate anxiety (n = 347; 36% male, 64% female; mean age = 33 years). Participants self-reported both the form (flower or edible) and the ratio of THC to CBD in the cannabis used during the observation period.

Results: Individuals who reported cannabis use on a particular day also reported better sleep quality the following night. Moderation analyses showed that better perceived sleep after cannabis use days was stronger for respondents with higher baseline affective symptoms. Further, respondents who used cannabis edibles with high CBD concentration reported the highest perceived quality of sleep.

Conclusions: Among individuals with affective symptoms, naturalistic use of cannabis was associated with better sleep quality, particularly for those using edible and CBD dominant products.

Objectives: Despite known sex differences in the prevalence of sleep disturbance and cognitive impairment, research investigating sex differences in sleep/cognition associations is limited. We examined sex as a moderator of associations between self-reported sleep and objective cognition in middle-aged/older adults.

Methods: Adults aged 50+ (32 men/31 women, M_age = 63.6 ± 7.7) completed the Pittsburgh Sleep Quality Index (PSQI) and cognitive tasks: Stroop (processing speed, inhibition), Posner (spatial attentional orienting) and Sternberg (working memory). Multiple regressions examined whether PSQI metrics (global score, sleep quality ratings, sleep duration, sleep efficiency) were independently or interactively (with sex) associated with cognition, controlling for age and education.

Results: Sex interacted with sleep quality ratings in its association with endogenous spatial attentional orienting (∆R² = .10, p = .01). Worse ratings of sleep quality were associated with worse orienting in women (B = 22.73, SE = 9.53, p = .02), not men (p = .24). Sex interacted with sleep efficiency in its associations with processing speed (∆R² = .06, p = .04). Lower sleep efficiency was associated with slower Stroop control trial performance in women (B = -15.91, SE = 7.57, p = .04), not men (p = .48).

Conclusions: Preliminary findings suggest middle-aged/older women are more vulnerable to associations between poor sleep quality and low sleep efficiency on spatial attentional orienting and processing speed, respectively. Future studies in larger samples investigating sex-specific prospective sleep and cognition associations are warranted.

Objectives: Assess the feasibility and staff experience of screening for behavioral sleep problems (BSP) and sleep disordered breathing (SDB) in early childhood education (ECE) settings; examine BSP/SDB prevalence and caregivers' knowledge/attitudes, perception of child sleep problems, and sleep health engagement in this sample.

Method: Eight staff representatives from four ECE sites involved with sleep problem screening procedures within a larger RCT on ECE sleep health, discussed their experiences in a focus group; transcript content reviewed. A random subset of caregiver-child dyads (n = 59) from the four ECE sites completed sleep problem measures (BSP: Children's Sleep Habits Questionnaire, Short form [SF-CSHQ], Tayside Children's Sleep Questionnaire [TCSQ-sleep disturbance and difficulty] and SDB: Pediatric Sleep Questionnaire [PSQ], in addition to RCT measures (Parent Knowledge/Attitude/Self-efficacy/Beliefs survey and sleep health goals). Caregiver sleep health engagement was measured by the sleep health goals set.

Results: ECE staff reported sleep problem screening as self-explanatory and doable but sometimes administratively burdensome. BSPs were identified in 44% (SF-CSHQ) to 63% (TCSQ-sleep disturbance) of children; SDBs in 13%. Only 11% of caregivers endorsed their child having a sleep "difficulty" (TCSQ). Sleep health goals were set by 85% of caregivers; 63% employed educational materials' language.

Conclusion: Sleep problem screening in ECE is feasible, and problems are elicited. While caregivers readily engage in setting healthy sleep goals, few endorse sleep as difficult. ECE education could improve caregiver understanding/recognition of sleep problems.