Behavioral Sleep Medicine最新文献

Objectives: Examining the associations of COVID-19 related anxiety and insomnia with increased smoking following the outbreak of the COVID-19 pandemic, and investigating whether increased insomnia severity mediates the association between COVID-19 related anxiety and increased smoking.

Methods: 598 participants, aged 18-40, out of whom 140 self-identified as smokers, completed online questionnaires during the third wave of the COVID-19 pandemic. Measures included two items assessing COVID-19 related anxiety, the Pittsburgh Sleep Quality Index, and the Insomnia Severity Index, which included a pre-pandemic retrospective report.

Results: Compared with nonsmokers, smokers reported lower sleep quality and more severe symptoms of insomnia. Among smokers, more severe symptoms of insomnia were associated with greater odds of increased smoking during the COVID-19 outbreak. COVID-19 related anxiety was indirectly associated with greater odds of increased smoking through greater insomnia severity during the COVID-19 outbreak, after controlling for pre-pandemic levels of insomnia.

Conclusions: Smokers experienced more sleep difficulties during the COVID-19 pandemic than nonsmokers. The results also lend support to the suggestion that anxiety, such that was experienced during the COVID-19 pandemic, may lead to further exacerbation of sleep difficulties, leading in turn to increase in smoking. These findings have important clinical implications that may be particularly relevant to attempts to minimize smoking during stressful circumstances.

Racial and ethnically minoritized and under-resourced populations do not reap the same benefits of sufficient sleep as their white counterparts resulting in insufficient sleep and sleep health disparities. Research exploring these disparities have documented a plethora of factors including social determinants of health, community violence, and structural issues - all of which are associated with adverse sleep. There are robust evidence base behavioral intervention that can be leveraged to improve sleep health among racial and ethnic groups. However, EBIs are not well leveraged. In 2021, with participation from members of the society of behavioral sleep medicine, we conducted this report to bring together the field of behavioral sleep medicine including researchers, clinicians and trainees to discuss gaps and opportunities at the intersection of the COVID-19 pandemic, systemic racism, and sleep health. The goals were anchored around seven recommendations toward reducing disparities in the near-term and longer-term approaches to eliminating disparities. Furthermore, we acknowledge that reducing and eliminating disparities in sleep health requires a multifaceted approach that includes a focus on individual, community, health care and societal levels of influence with participation from diverse partners including federal, state and local.

Objectives: Sleep disorders are prevalent in children with Down Syndrome (DS). However, sleep treatment is not always readily accessed by this group. This study aims to understand families' experiences of having a child with DS and sleep difficulties, and in particular, their healthcare experiences, with the goal of informing practice improvements.

Methods: We conducted semi-structured interviews with 34 parents (fathers n = 4 and mothers n = 30) with open-ended questions about parents' experiences of sleep, family dynamics, and healthcare. We operationalized a reflexive Thematic Analysis.

Results: Parents normalized their experiences of having a child with DS and sleep problems. Parents acknowledged that sleep disruption has adverse and pervasive impacts on their wellbeing and family dynamics, but also found this difficult to identify as a health problem. They accepted sleep difficulties as a regular part of bringing up any child, particularly one with a disability. When they did seek treatment for their child's sleep difficulties, parents often reported encountering insensitive and inadequate care and described that, at times, healthcare professionals also normalized children's sleep difficulties, resulting in sub-optimal treatment. This included at times failure to refer to tertiary sleep medicine services when required.

Conclusions: Parents' and healthcare professionals' normalization of sleeping difficulties denies that they are both deleterious and modifiable. Practice implications include raising healthcare professionals' awareness of the importance of proactively addressing sleep, with sensitivity to families' normalization strategies, recognizing that families may require prompting to report concerns.

Objectives: Personality and sleep characteristics are related to financial attitudes and behaviors. However, to our knowledge no study has examined how personality and sleep may be conjointly associated with these financial outcomes. The present study examined sleepiness as a moderator of the associations between college students' personality traits and financial risk tolerance and spending habits.

Methods: Undergraduates (N = 177, 77% women, 78% White) self-reported their personality traits and sleepiness using well-established questionnaires. Financial attitudes and behaviors were assessed via students' self-reported responses to a set of scenarios assessing risk tolerance as well as their spending habits over the prior two weeks.

Results: Multiple regression analyses were run. Across five significant two-way interactions, high levels of sleepiness exacerbated risk for greater financial risk tolerance and higher spending among those characterized by high open-mindedness and low neuroticism, whereas low sleepiness increased protection for lower risk tolerance and less spending among those high in agreeableness and conscientiousness.

Conclusions: Sleepiness may act as both a vulnerability and protective factor in relations between personality and financial attitudes and behaviors. Improvements in sleepiness, which is modifiable via intervention, may have significant implications for individuals' financial well-being.

Background: Delayed sleep-wake phase disorder (DSWPD) is common and easily misdiagnosed in young people, and to date, there is no evidence-based treatment.

Purpose: A nonblinded randomized controlled study evaluated the effect of agomelatine therapy (AT) and cognitive behavior therapy (CBT) on DSWPD in young adults.

Methods: Sixty adolescents and young adults (range = 19-24 years, mean = 22 years, 52% female) diagnosed with DSWPD were randomized to receive 4 weeks of agomelatine therapy with or without cognitive behavior therapy. Sleep diaries, Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), Insomnia Severity Index (ISI), and World Health Organization wellbeing questionnaire (WHO-5) were measured pre-treatment and post-treatment.

Results: Agomelatine therapy for 4 weeks shifted the sleep-wake rhythm (p < .001) forward in both groups at the week 4 assessment. There were no significant differences in sleep onset (p = .099) and sleep offset (p = .959) between the CBT group and the no treatment (NT) group at the follow-up visits. However, significant differences were found in sleep duration (p = .002), sleep quality (p=0.005), sleep difficulties (p < .001), daytime sleepiness (p = .001), and wellbeing (p = .007) between groups.

Conclusions: The improvements were received largely through the sleep-promoting effects of agomelatine therapy, and combining with cognitive behavior therapy on maintenance of altered sleep rhythms might be feasible.

Objective: To examine sex-specific associations of sleep duration and napping self-reported at mean age of 69 years (range: 53-81) with risk of incident dementia 24 years later at age 90 +.

Method: Analytic sample included individuals from a population-based study who reported sleep and napping once in the 1980s and 24 years later (range: 16-38) joined The 90+ Study and were evaluated in-person. Those without dementia at baseline of The 90+ Study were prospectively followed. Hazard ratios [HR] and 95% confidence intervals [CI] of dementia risk were estimated by Cox regression.

Results: Of 574 participants 71% were women, mean age at start of dementia follow-up with The 90+ Study was 93 years (range: 90-102). After 3.3 years (range: 0.4-13.8) of follow-up 47% developed dementia. Higher risk of dementia at age 90+ was seen in women with <6 hours of self-reported sleep per night (adjusted HR = 2.00; 95% CI = 1.15-3.50; p = .01) compared with 8 hours. Lower risk of dementia at 90+ was seen in men with short-to-moderate (<60 minutes) self-reported naps compared with no naps (HR = 0.33; 95% CI = 0.18-0.63; p < .01).

Conclusions: Sleep and nap 24 years earlier are important risk factors for dementia after age 90.

Objective: This study examined the longitudinal association between child sleep disturbances from ages 3 to 16 and smoking in adulthood among subjects from a French cohort study.

Methods: Data from 2,134 subjects who participated in the French TEMPO cohort from 1991 to 2018 were used. Sleep disturbances observed from ages 3 to 16 years defined our exposure. Tobacco consumption trajectories constitute our outcomes and were ascertained by using Group-Based Trajectory Modeling, a semiparametric probabilistic method that hypothesizes the existence of distinct developmental trajectories over time within one population. The impact of SDs in childhood on adulthood's Tobacco consumption were studied using multinomial logistic regression.

Results: Sleep disturbances at 16 years or under were observed in 26.5% of participants. Five smoking trajectories were defined: "non-smokers", "decrease in consumption at age 20 years", "low-level tobacco use", "smoking followed by cessation at age 30 years" and "high-level tobacco use". No statistically significant association between sleep disturbances and smoking trajectories was found. Compared with nonsmokers, adjusted odds-ratios and 95% Confidence Intervals for each trajectory were respectively: 0.81 [0.52-1.26], 1.28 [0.74-2.22], 1.37 [0.88-2.15] and 1.01 [0.60-1.69].

Conclusion: These results suggest that smoking in adulthood may not be related to sleep disturbances in childhood.

Objective: Community-delivered sleep education interventions have been demonstrated to be effective in improving sleep outcomes, but whether these benefits persist once the program ends is not well characterized. This study sought to determine whether the previously reported positive effects attributed to the SLeep Education for Elders Program (SLEEP) were maintained six months after program completion.

Method: Nineteen participants were surveyed three times: at baseline, program completion (six weeks), and the six-month post-program timepoint. Sleep outcomes for quality, duration, insomnia symptoms, sleep hygiene behaviors, and excessive daytime sleepiness were assessed using validated surveys, including the Pittsburgh Sleep Quality Index (from which duration was also extracted), the Insomnia Severity Index, the Sleep Hygiene Index, and the Epworth Sleepiness Scale.

Results: Longitudinal models adjusted for baseline sleep problems revealed the benefits achieved immediately after the program were retained at six months for sleep quality (estimate: -2.0 (95%CI: -2.7, -1.3)), sleep duration (estimate: 0.9 (95%CI: 0.6, 1.2)), insomnia symptoms (estimate: -3.5 95%CI: (-4.6, -2.3)), and sleep hygiene behaviors (estimate: -2.6 (-4.3, -0.9)).

Conclusions: These results suggest that a community-delivered sleep education intervention can produce sustained benefits for participants and should be considered as a tool to address uncomplicated sleep issues.

Objective: To examine the association of subjective age (SA) with sleep quality in an adult population.

Methods: In the Korean Sleep and Headache Study, 2,349 participants (49.2% men; 48.1 ± 16.4 years old) were interviewed face-to-face using structured questionnaires between September and December 2018. SA was assessed by asking participants their perceived age in years and then compared with their chronological age (CA). Participants were assigned to three groups: feeling younger, feeling their age, and feeling older. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). Association between SA and sleep quality was analyzed with multiple linear regression controlling for demographics, psychosocial, and sleep characteristics.

Results: The group feeling older (n = 404, 17.2%; men, 58.2%; age, 46.5 ± 16.2 years) had worse sleep quality than the groups feeling younger and feeling their age (PSQI score, 4.3 ± 2.7, 3.8 ± 2.4, 3.4 ± 2.1, respectively, p <.001; prevalence of poor sleep quality, 29.0%, 18.4%, 13.5% respectively, p <.001). The association between SA and the PSQI score remained significant after adjusting for confounders (β = 1.05, 95% confidence interval 0.26, 1.83; p <.001). Stratified analyses by sex and CA showed that the association between SA and the PSQI score was significant only in women and in middle-aged and older group (aged 50-79), suggesting that sex and CA modified the association.

Conclusion: Age perception was associated with self-reported sleep quality, independent of CA. SA may be a useful marker that complements the conventional assessment of subjective sleep quality.

Background/objective: Older adults suffer from sleep disturbances, especially during hospitalization, affecting their health condition, recovery, and in-hospital mortality. Therefore, we aimed to explore the effectiveness of a multi-sensory sleep-promotion program on sleep quality among hospitalized Thai older adults.

Methods: In a quasi-experimental study, the 52 eligible older adults in a private medical ward were equally assigned into two groups. The experimental group received a sleep quality assessment after the first night of admission, the 60-minute multi-sensory sleep-promotion program for three nights, and an outcome evaluation on the last night after the intervention. In contrast, the control group received routine care for the same period. Sleep quality was measured by the Verran and Snyder-Halpern Sleep Scale (Thai version). In addition, independent and paired samples t-tests compared the sleep quality between and within the two groups.

Results: The older adults in the experimental group had better sleep quality than those who did not (p < .001). Those who participated in the multi-sensory sleep-promotion program markedly improved their sleep quality over five days (p < .001).

Conclusion: A multi-sensory sleep-promotion program can promote the sleep quality of older adults. The five alternative methods to promote sleep are effective without the deleterious effects of hypnotics and sedatives often experienced among older adults. Therefore, nurses and other healthcare professionals can implement this program as standard practice. In addition, they may adjust it to fit the acuity level and care dependencies of older adults in other cultures to promote sleep quality.