Sleep Health最新文献

Objectives: This longitudinal study investigated bidirectional links between objective and self-reported sleep and symptoms of depression and anxiety in both parents from pregnancy to 12 months postpartum. Using Random Intercept Cross-Lagged Panel Models (RI-CLPM), we examined whether sleep disturbances predict later depressive and anxiety symptoms and vice versa.

Methods: A total of 232 couples were recruited during pregnancy. Data were collected in the third trimester and at 4, 8, and 12 months postpartum. Sleep was assessed over seven nights using actigraphy and diaries. Parents completed the Insomnia Severity Index (ISI), the Edinburgh Postnatal Depression Scale (EPDS), and the trait subscale of the State-Trait Anxiety Inventory (STAI).

Results: Correlational analyses demonstrated that lower self-reported sleep quality (diary, ISI) was significantly associated with higher depressive and anxiety symptoms in both parents, whereas actigraphy-based measures showed no such associations. RI-CLPM revealed within-person concurrent associations between poorer sleep quality and higher depressive-anxiety symptoms (combined score), especially in late postpartum. Prospectively, higher depressive-anxiety symptoms at 8 months predicted poorer reported sleep quality at 12 months in both parents. Only in fathers, did poorer sleep quality at 4 months predict increased depressive-anxiety symptoms at 8 months.

Conclusion: Parental depressive-anxiety symptoms may increasingly contribute to ongoing sleep disturbances over time. This link may be shaped by unique postpartum processes, rather than reflecting only general adult sleep-mental health associations. Clinically, addressing parental distress symptoms could contribute to improvements in perceived sleep quality, though further research is needed to confirm this.

Objectives: (1) Develop and iteratively refine an infographic designed to promote obstructive sleep apnea activation in parents of symptomatic children; and (2) describe parental response to the infographic as implemented in clinical practice.

Methods: An infographic designed to activate parents to speak with their child's primary care provider about obstructive sleep apnea symptoms was developed using qualitative themes from parent interviews. To promote stakeholder acceptability of the infographic, we conducted 12 focus groups with parents (n = 24), primary care providers (n = 9), and sleep medicine physicians (n = 4) across three testing phases. For each iterative version, participants provided ratings on the infographic's clarity, activation, relevance, acceptability, feasibility, and accuracy. The infographic was then implemented in clinical practice across eight pediatric primary care clinics. A sample of parents whose child screened positive for obstructive sleep apnea (n = 148) viewed the infographic on a patient portal and were asked whether they planned to speak to their child's primary care provider about obstructive sleep apnea.

Results: Stakeholder feedback yielded to revisions of the language, images, and text. Parents highly rated the infographic's final iteration for clarity (scale 1-5, M = 4.8, SD = 0.2), activation (M = 4.6, SD = 0.2), and relevance (M = 4.9, SD = 0.1). Primary care providers rated the infographic as highly acceptable (M = 4.7, SD = 0.5) and sleep medicine physicians highly rated the infographic as highly accurate (M = 5, SD = 0). When implemented in clinical care, almost half of parents who viewed the infographic (45.9%) reported intent to speak with their child's primary care provider about obstructive sleep apnea, with 36.5% reporting uncertainty and 17.6% indicating they did not plan to speak to their child's primary care provider.

Conclusions: We developed an infographic that can be applied across settings and may activate parents to speak with their child's provider about obstructive sleep apnea. The use of infographics and other parent-directed strategies can play an important role in obstructive sleep apnea detection.

Objectives: This study aimed to examine the longitudinal associations between parental supervision of bedtime screen use and children's sleep health across multiple dimensions (timing, duration, efficiency, alertness, satisfaction, and regularity) and to investigate whether these associations were mediated by reduced bedtime screen use.

Methods: This longitudinal study included 1618 children aged 9-11 years from 4 primary schools in Beijing, China. Data were collected at baseline from April to June 2024 and at a 6-month follow-up in January 2025. Parents reported their supervision of children's bedtime screen use, and children reported their bedtime screen use and sleep outcomes.

Results: Overall, 49.1% of children received consistent supervision of bedtime screen use. After adjusting for covariates, children with parental supervision had a significantly lower risk of adverse sleep outcomes, including late bedtimes (weekday: relative risks = 0.71, 95% confidence interval: 0.58-0.88; weekend: relative risks = 0.70, 95% confidence interval: 0.63-0.79), prolonged sleep onset latency (relative risks = 0.74, 95% confidence interval: 0.64-0.84), daytime sleepiness (relative risks = 0.81, 95% confidence interval: 0.68-0.95) and an irregular sleep schedule (relative risks = 0.83, 95% confidence interval: 0.74-0.94). Mediation analysis indicated that reduced bedtime screen use partially mediated these associations.

Conclusions: Parental supervision of bedtime screen use was associated with improved sleep health in school-aged children. These benefits were partly explained by reduced bedtime screen use. Therefore, encouraging parental supervision may be an effective strategy to improve children's sleep health.

Objectives: We sought to move beyond typical therapeutic interventions to improve insomnia symptoms by exploring food aid as a means to decrease insomnia symptoms in contexts with high food insecurity.

Methods: We recruited participants from food aid distribution centers in Pakistan. Participants were randomly assigned to a treatment condition in which they received food aid (weighted to be 60% of participants) or were in the waitlist control condition (weighted to be 40% of participants), followed by an outcome survey. 186 participants completed the study.

Results: Participants in the food aid condition reported significantly lower anxiety (M = 2.71, SD = 0.81) than participants in the waitlist control condition (M = 3.83, SD = 0.55), p < .001, cohen's d = -1.57. Participants in the food aid condition reported significantly lower insomnia symptoms (M = 2.66, SD = 1.12) than participants in the waitlist control condition (M = 3.28, SD = 1.01), p < .001, cohen's d = -0.57. The indirect effect of food aid on insomnia symptoms via anxiety was significant (Est = -0.45, 95% CI [-0.23, -0.69]), consistent with anxiety as a mediator.

Conclusions: In our exploratory study of a context characterized by high food insecurity, the provision of food aid lowered anxiety and insomnia symptoms. Food aid provision may be an effective means to address insomnia in contexts in which traditional therapeutic approaches may be impractical to sufficiently scale.

Purpose: This study assesses the role of personal, family-related, and school-related factors in adolescence in the perception of the presence of difficulties in falling asleep.

Methods: The study used data from the Italian 2022 Health Behavior in School-Aged Children (HBSC) study, focusing on 3201 participants (99.7% of response) from the Italian HBSC sample in Tuscany. Descriptive and hierarchical multivariable logistic regression models including personal, family- and school-related factors were used to assess perceived difficulties in falling asleep as reported by 11-, 13-, 15-, and 17-year-old adolescents.

Results: Around 49.7% of the sample was female. Nearly a quarter of the adolescents reported sleep difficulty daily or more than once a week. Females reported significantly higher risk of sleep difficulty (odds ratio (OR) of 1.38, 95% CI 1.1-1.7), as did those with higher levels of perceived school pressure (OR 1.47, 95% CI 1.3-1.6) and lack of student support (OR 1.14, 95% CI 1.0-1.3). Those in the middle level of the Family Affluence and older adolescents reported lower risk of sleep difficulty falling asleep (OR 0.74, 95% CI 0.6-0.9 and 0.46, 95% CI 0.3-0.6, respectively).

Conclusion: Since concurrent factors in different settings have shown to influence the expression of sleep problems, integrated intervention strategies should be applied to promote healthy sleep habits among adolescents. Therefore, it is necessary for invest in multidimensional intervention approaches, taking into account all the key stakeholders such as the individual, the family and the school into a more integrated perspective design.

Objectives: Sleep shapes population health. While substantial research has illustrated that sleep duration is stratified by racial/ethnic identification in the United States, less is known regarding how these population patterns may also vary by skin color. This is an oversight given that a burgeoning body of research has documented the association between skin color and health. The current study aims to document skin color-based disparities in sleep duration at the population level.

Methods: We analyzed the National Longitudinal Study of Adolescent to Adult Health (Add Health, n = 9114) using multinomial regression to predict differences among adults residing in the US in 2016-2018 in self-reported sleep duration between short sleep (≤6 hours per 24-hour period) and long sleep (≥9 hours per 24-hour period) relative to normal sleep (7-8 hours per 24-hour period) among a nationally representative sample of individuals from the US.

Results: Individuals with dark and to a lesser extent medium skin are at higher odds of short sleep than those with light skin. Individuals with medium and also dark skin are also at higher odds of long sleep than those with light skin. However, evidential support for racial/ethnic moderation of skin tone effects was weak. These results were generally consistent when extensive covariates were included.

Conclusions: This work stresses the importance of race/ethnicity and skin color in shaping population-level sleep patterns.

Objectives: Healthy sleep is vital for firefighter safety, health, wellness, and for public well-being. However, professional firefighters experience disturbed sleep at disproportionately high rates. The current study investigated firefighter sleep in terms of (1) differences in on-duty and off-duty sleep, (2) risk factors for poor sleep, and (3) whether risk factors differed for on-duty and off-duty sleep.

Methods: Professional firefighters from a large, urban fire department in central Virginia (N = 268) reported their sleep using the Pittsburgh Sleep Quality Index both on- and off-duty. Participants also provided information related to demographic characteristics, work (e.g., length of service), general health (self-rated health and pain), and mental health (Patient Health Questionnaire-2 and Generalized Anxiety Disorder-2).

Results: Using a repeated measures MANOVA, on-duty sleep was significantly worse compared to off-duty sleep F(8250) = 40.80, p<.001, η² = .57. On-duty, 84% of firefighters were classified as poor sleepers compared to 53.4% off-duty. Significant associations were observed between work-related factors, health-related factors, and mental health-related factors and on-duty and off-duty sleep; however, the strength of associations was generally greater for on-duty sleep.

Conclusions: Healthy sleep is possible for professional firefighters, as nearly half were classified as "good sleepers" while off-duty. Nonetheless, on-duty sleep was significantly worse overall, and risk factors for poor sleep showed stronger associations with on-duty sleep than off-duty sleep. When working a 24-hour variable shift schedule, it appears that poor sleep may "carryover" from on-duty to off-duty days. Further research is needed to test behavioral and environmental approaches to promote healthy sleep among professional firefighters.