Behavioral Sleep Medicine最新文献

Objectives: The main objectives of the current paper were to examine the feasibility, acceptability, and adherence of a remotely delivered intervention consisting of mindfulness-based stress reduction plus prenatal sleep classes (MBSR+PS) compared with treatment as usual (TAU).

Method: In this pilot randomized controlled trial, 52 pregnant women with poor sleep quality were randomized to MBSR+PS or TAU. MBSR was delivered through eight weekly 2.5-hour sessions, and PS was delivered through eight weekly 30-minute sessions. PS content drew material from cognitive behavioral therapy for insomnia tailored for the perinatal period and from a mindfulness- and acceptance-based lens. Participants completed endpoint measures 10-12 weeks after randomization.

Results: We surpassed all acceptability targets, including the percentage of eligible participants willing to be randomized (96%), percentage of participants who initiated treatment (88%), and satisfaction scores (Client Satisfaction Questionnaire-8 score M = 28.04, SD = 3.6). We surpassed all feasibility targets, including our enrollment target, retention rate (92%), and measure completion (96%). Finally, we surpassed adherence targets, including MBSR and PS session attendance (≥80%). Though sleep outcomes were exploratory, increases in sleep efficiency were greater in the MBSR+PS group relative to TAU (SMD=.68).

Conclusions: Patient-reported poor sleep quality during pregnancy has high public health significance because it is common, consequential, and under-treated. The current feasibility and acceptability data for using remotely delivered MBSR and PS to improve prenatal sleep quality are encouraging and warranting future research that is sufficiently powered and designed to provide efficacy data. In addition, exploratory sleep outcomes offer preliminary evidence that this sleep program may improve sleep efficiency during pregnancy.

Objectives: This study examined the associations among maternal sleep quality, executive function, and perceptions of infant sleep in a sample of families recruited from human service and public health systems.

Methods: Seventy-three mothers of infants 5-14 months old were included in the study. Mothers racially and ethnically identified as American Indian/Alaskan Native (4.1%), Asian (4.1%), Black/African American (12.3%), Latina (23.3%), more than one race (12.3%), Pacific Islander (1.4%), and White (42.5%). Mothers completed questionnaires assessing their own sleep (Pittsburgh Sleep Quality Index) and executive function (Behavior Rating Inventory of Executive Function) as well as their perceptions about their infant's sleep (Brief Infant Sleep Questionnaire).

Results: Results of the path analysis indicated significant direct effects among maternal sleep quality, executive function, and perceptions of infant sleep. Significant indirect effects were found such that poor maternal sleep quality was linked to poorer perceptions of infant sleep through maternal executive dysfunction, adjusting for infant sleep patterns, infant age, and maternal race and ethnicity.

Conclusions: The current study highlights the potential role of maternal behavioral and cognitive factors in shaping mothers' perceptions about infant sleep. These findings support the need for health professionals and researchers to consider maternal sleep quality and executive function when addressing mothers' concerns about infant sleep.

Study objectives: To construct and evaluate the inter-rater reliability of the Structured Clinical Interview for DSM-5-TR Sleep Disorders - Kid (SCISD-Kid).

Method: The SCISD-Kid was modeled on the adult SCISD-R and accounted for pediatric developmental and sociocultural factors. Fifty sleep-disturbed children (M_age = 11.9, SD = 2.9) and 50 caregivers responded to the final SCISD-Kid. Video recordings were double-scored to evaluate inter-rater reliability.

Results: The final SCISD-Kid contained approximately 90 questions. Eight of the nine covered disorders had prevalence rates sufficient for analyses for both samples (i.e., k > 2). Inter-rater reliability was examined using Cohen kappa coefficients (κ); reliability estimates ranged from excellent to good. For youth, restless legs syndrome yielded the lowest reliability (.48), while nightmare disorder, narcolepsy, and NREM sleep arousal disorder - sleepwalking type showed the highest reliability (1.00). Across caregivers, NREM sleep arousal disorder - sleep terror type (.49) and hypersomnolence (.54) had the lowest reliability. In contrast, circadian rhythm - delayed sleep phase type, nightmare disorder, and NREM sleep arousal disorder - sleepwalking type showed the highest reliability (1.00).

Conclusions: The SCISD-Kid is a promising tool for screening sleep disorders. It showed good to excellent reliability across both samples. Next steps for validation will be discussed.

Objectives: Perfectionism is an important factor in insomnia development and maintenance. Previous studies exploring the relationship between perfectionism and insomnia have predominantly relied on self-reported sleep measures. Therefore, this study sought to assess whether actigraphy-measured sleep parameters were associated with perfectionism.

Methods: Sixty adults (85% females, mean age 30.18 ± 11.01 years) were sampled from the Australian general population. Actigraphy-derived objective sleep measures, subjective sleep diary measures, the Frost Multidimensional Perfectionism Scale (FMPS), Hewitt-Flett Multidimensional Perfectionism Scale (HFMPS) and Depression, Anxiety and Stress Scale 21 (DASS-21) were collected.

Results: High perfectionism levels were associated with poor sleep, but these relationships differed between objective and subjective measures. Perfectionism via FMPS total score and subscales of Concern over Mistakes, Doubts about Actions, Personal Standards and Self-oriented Perfectionism correlated with subjective sleep onset latency and sleep efficiency with moderate effects (r = .26 to .88). In contrast, perfectionism via HFMPS total score and subscales of Socially Prescribed Perfectionism and Parental Expectations predicted objective sleep onset latency and sleep efficiency. Additionally, stress mediated the relationships between objective sleep efficiency and Concern over Mistakes and Doubts about Actions.

Conclusions: Perfectionism demonstrated stronger associations with subjective than objective sleep measures. Higher Parental Expectations and Socially Prescribed Perfectionism may increase one's vulnerability to objectively measured poor sleep. Therefore, perfectionism may be important in preventing and treating insomnia.

Objectives: To investigate the association between insomnia severity symptoms and menstrual health, fatigue and anxiety symptoms in women at reproductive age.

Method: We used data from EPISONO (2007), an epidemiological study from the city of São Paulo, Brazil. Women completed the Insomnia Severity Index (ISI), the Chalder Fatigue Scale (CFS), and the Beck Anxiety Inventory (BAI) to obtain information about insomnia, fatigue, and anxiety symptoms. For menstrual health, we collected information using our Institutional Women's Questionnaire about menstrual flow and duration, the presence of pain during menstruation and menstrual cycle regularity. The statistical analysis was performed using ordinal logistic regression, considering p < .05.

Results: Of the 1,042 participants, only 282 women met the inclusion criteria to participate in this study. The mean age was 34.4 years (SD ± 8.36), and the body mass index (BMI) was 25.7 (SD ± 5.39). According to the model, a 1-unit higher CFS score increased the odds of having more insomnia symptoms in the ISI (OR = 1.170; 95% CI=[1.073; 1.279]; p < .001). In the same way, a 1-unit higher BAI score increased the chance of presenting insomnia symptoms, according to the ISI (OR = 1.072; 95% CI=[1.042; 1.104]; p < .001). The menstrual variables did not represent statistical significance in the model.

Conclusions: Fatigue and anxiety symptoms were associated with insomnia symptoms; however, no association was observed between menstrual health and insomnia. The need to examine sleep when there are sleep complaints is essential to provide an accurate diagnosis that facilitates appropriate treatment and to provide better sleep quality for women.

Objective: The study objective was to inform patient-centered care for adolescent insomnia by describing adolescents' perspectives on insomnia. Specific constructs of interest included: 1) factors that contributed to insomnia development or maintenance, 2) impact of insomnia on day-to-day life, 3) recommended research priorities, and 4) overall experience living with insomnia.

Method: A convenience sample of adolescents (ages 13-18 years) self-identifying with insomnia symptoms was recruited through social media. Respondents (n = 3,014) completed an online survey. Responses to an open-ended item assessing patient experience were coded using thematic analysis.

Results: Participants identified as 70.8% White non-Hispanic, 77.0% female, and lived in one of five English-speaking countries (United States, United Kingdom, Canada, Australia, or New Zealand). Most (87.5%) met DSM-V diagnostic criteria for insomnia. The most common contributory factors to insomnia endorsed were stress (72.1%) and depressed mood (63.6%), while common impact areas were mood (72.2%), focus (61.0%), and pain (49.7%). Patient-centered research priorities were identifying insomnia causes (66.4%) and early detection (66.1%). Common adolescent experiences included high distress levels, feelings of invalidation, and helplessness about their insomnia.

Conclusions: Adolescents with insomnia offer a unique perspective that should inform patient-centered research and care. There is a need for heightened screening and awareness about insomnia as a condition that causes significant distress and impairment for adolescents. To provide validating care, providers should recognize the multifaceted causes of insomnia.

Background: Insufficient sleep duration is associated with poor health-related quality of life (HRQoL). However, this relationship has not been studied in family caregivers, a group at high risk of insufficient sleep duration and poor HRQoL.

Objective: To examine the associations between habitual sleep duration and HRQoL measures in family caregivers.

Methods: This cross-sectional study used data from 23,321 caregivers in the 2016 Behavioral Risk Factor Surveillance System. The HRQoL measures were health status and poor mental and physical health days. A multivariable logistic regression model was used to assess the association between sleep duration (<7, 7-9, >9 hours) and health status (fair or poor versus good to excellent). Zero-inflated negative binomial models were used to analyze the association of sleep duration with poor mental and physical health days.

Results: Fair or poor health status was significantly higher in caregivers with short (odds ratio [OR], 1.40; 95% CI: 1.12, 1.74) and long (OR, 2.07; 95% CI: 1.34, 3.21) sleep duration. Short sleep duration was associated with a higher number of poor mental health days (IRR [incident rate ratio], 1.17; 95% CI: 1.04, 1.31) and poor physical health days (IRR, 1.26; 95% CI: 1.10, 1.45). Long sleep duration was associated with more poor mental health days (IRR, 1.31; 95% CI: 1.08, 1.60).

Conclusion: Extremes in sleep duration were associated with lower HRQoL. These findings point to the need for interventions that promote adequate sleep and address factors underlying extremes in sleep duration in the context of family caregiving.

Objectives: Previous studies showed that nightmares are prevalent and are associated with negative health outcomes. However, no empirical data is available demonstrating the extent to which nightmare disorder persists over time. Current literature provides a limited understanding of the trajectory and wider mental health outcomes of nightmare disorder. This longitudinal study examined the persistence and mental health outcomes of nightmare disorder.

Methods: A total of 230 Hong Kong Chinese adults completed standardized assessments twice with an interval of about 6 months.

Results: Over half (66.7%) of the participants with probable nightmare disorder at baseline remained to meet the DSM-5 criteria for the disorder at follow-up. Participants with probable nightmare disorder at baseline were significantly more likely to screen positive for PTSD (82.1% vs 18.3%) (p < .001) (p < .001), and they reported higher rates of mental health service usage at both timepoints (p = .001 to .003). Baseline nightmare disorder severity was negatively associated with subsequent self-rated mental health (β = -.151, p = .010) and self-esteem (β = -.141, p = .009) and it also predicted subsequent PTSD symptoms (β = .122, p = .012).

Conclusions: This study provides first empirical data showing that nightmare disorder could be persistent over time. Nightmare disorder symptoms are associated not only with PTSD symptoms but also with a broader range of mental health issues. This study points to the public health importance of identifying and managing nightmare disorder symptoms in the community. Additionally, the presence of nightmare disorder symptoms may be a helpful indicator for identifying post-traumatic stress.

Objective: To understand factors influencing adherence to recommended treatment for insomnia and obstructive sleep apnea (OSA) among Veterans with mild traumatic brain injury (mTBI).

Method: Semi-structured interviews (n = 49) with 29 clinical stakeholders and 20 Veterans were conducted. Clinical stakeholders included Veterans Health Administration providers and policymakers involved in the management of mTBI and/or sleep disorders. Veterans included those with a clinician-confirmed mTBI with a recent history of insomnia disorder and/or OSA treatment. Themes were identified using a Descriptive and Interpretive approach.

Results: Barriers to sleep disorder treatment adherence included factors associated with the patient (e.g., negative appraisal of treatment benefit), intervention (e.g., side effects), health conditions (e.g., cognitive challenges), health care system (e.g., limited availability of care), and socioeconomic status (e.g., economic instability). Similarly, facilitators of adherence included patient- (e.g., positive appraisal of treatment benefit), intervention- (e.g., flexible delivery format), condition- (e.g., accommodating cognitive impairments), health care system- (e.g., access to adherence support), and socioeconomic-related factors (e.g., social support).

Conclusions: Interviews revealed the multi-faceted nature of factors influencing adherence to sleep disorder treatment among Veterans with mTBI. Findings can inform the development of novel interventions and care delivery models that meet the complex needs of this population.

Objective: Randomized controlled trials (RCTs) of digitally delivered Cognitive Behavioral Therapy for insomnia (CBT-I) have demonstrated reductions in insomnia severity, depression symptoms, anxiety symptoms, and suicidal ideation. The present study aimed to evaluate the effectiveness of self-guided, digital CBT-I to improve sleep-specific outcomes.

Method: An RCT of Australian adults with insomnia and depressive symptoms (N = 1149) compared SHUTi, a digital CBT-I intervention, with HealthWatch, an attention-matched control internet program, at baseline, posttest (9 weeks) and at 6-, 12-, and 18-month follow-ups. Online sleep diaries were used to derive measures of sleep-onset latency (SOL), wake after sleep onset (WASO), sleep efficiency (SE), number of awakenings, sleep quality, and total sleep time (TST).

Results: Participants in the SHUTi condition had greater improvements at posttest compared with control for: SOL, WASO, SE, number of awakenings, and sleep quality. These improvements were sustained at every follow-up (p < .02 for all outcomes except TST, in which statistically significant increases were observed only at 12- and 18-months).

Conclusions: Digitally delivered CBT-I produced lasting improvements in sleep outcomes among adults with insomnia and depressive symptoms. Findings provide further evidence of long-term improvements associated with a digital therapeutic for insomnia, compared to an attention-control condition.