Cross-sectional analyses of factors associated with the presence and aggravation of chronic insomnia by symptom subtypes.

Aim: The aim of this study was to investigate the association of psychological and chronobiological factors with the presence and severity of chronic insomnia by symptom subtypes and their impacts on daytime dysfunctions. Methods: Participants of the present web-based epidemiological study were classified as follows: difficulty initiating sleep (DIS) (n = 91); difficulty maintaining sleep (DMS) (n = 13); early morning awakening (EMA) (n = 48); DIS + DMS (n = 67); DIS + EMA (n = 23); DMS + EMA (n = 24); triplet of DIS, DMS, and EMA symptoms (TRP) (n = 69); and normal sleepers (n = 4590). The Insomnia Severity Index (ISI), Hospital Anxiety and Depression Scale (HADS), Munich Chronotype Questionnaire (MCTQ), insomnia-related psychological measures (including the Ford Insomnia Response to Stress Test [FIRST] and the Dysfunctional Beliefs and Attitudes about Sleep Scale [DBAS]), and the cognitive and somatic domains of the Pre-Sleep Arousal Scale (PSAS) were evaluated. Results: The presence of DIS and DIS + DMS were significantly associated with an evening preference, and EMA and EMA + DMS with a morning preference, while TRP showed no significant association with either chronotype. The increase in DBAS scores was associated with higher ISI scores in all subtypes. Meanwhile, the associations of each psychological measure varied among insomnia subtypes, with the association of PSAS cognitive arousal to DIS and PSAS somatic arousal to both DMS + EMA and TRP. Pathological HADS score was associated with all subtypes. Conclusion: Chronotypes may be associated with the presence of some insomnia subtypes; however, only psychological factors were speculated to contribute to the aggravation of all subtypes. All insomnia subtypes possibly contribute to the formation of depression.

Rasch analysis of the pre-sleep arousal scale in patients with acute insomnia disorder.

BACKGROUND: Hyperarousal plays an essential role in the initiation and maintenance of insomnia, highlighting the need for a tool that measure the hyperarousal state during the early course of insomnia. Pre-sleep Arousal Scale (PSAS) is a self-report questionnaire to evaluate subjective pre-sleep arousal of insomnia. The aim of this study was to examine the psychometric properties of the PSAS among patients with acute insomnia disorder (AID) using Rasch analysis. METHODS: Totally 170 patients with AID from 31 public hospitals in China were recruited and completed the test. The psychometric properties of the PSAS were tested using Rasch analysis by Winsteps v5.4.1.0, including unidimensionality, local item independence, item fit, category diagnostics, reliability, item-person maps and differential item functioning (DIF) by age and gender. RESULTS: According to Rasch analysis, somatic and cognitive subscales were unidimensional and basically demonstrated good item-fit statistics. 4-point Likert scale may be more appropriate for PSAS. All items have a good reliability and separation. No gender and age bias were detected for the scale. However, the person arousal level is not well matched to item difficulty. CONCLUSION: The present study further reveals appropriate psychometric properties of the PSAS in patients with AID and provides suggestions for refinements and supplements to the PSAS.

The psychometric properties of the Turkish version of the Pre-sleep Arousal Scale.

Purpose: The aim of the present study was to examine the psychometric properties of the Turkish version of the Pre-sleep Arousal Scale (PSAS), which measures pre-sleep arousal, a significant predictor of insomnia symptoms. Methods: 651 participants were recruited via social media and the Internet. Confirmatory factor analysis was conducted in the total sample (65.28% females; Mage1 = 28.09 ± 14.00). Convergent, divergent, incremental, and known-groups validity and internal consistency coefficients were assessed in a subsample of 556 participants (62.77% females; Mage2 = 29.25 ± 14.81). A second separate sample of 88 participants (80.68% females; Mage3 = 22.19 ± 4.98) was used to evaluate three-week test-retest reliability. Results: The results of factor analysis confirmed the two-factor structure of the Turkish PSAS with cognitive (PSAS-C) and somatic (PSAS-S), similar to the original scale. The correlations of the PSAS with convergent and divergent measures showed that the Turkish form had good convergent and acceptable divergent validity. PSAS-C and PSAS-S were able to explain an 18% additional variance in insomnia severity beyond depression and anxiety, an 18% additional variance in depression beyond insomnia severity, and a 35% additional variance in anxiety beyond insomnia severity. Moreover, insomnia patients had significantly higher PSAS-C and PSAS-S scores than good sleepers. Finally, the PSAS, PSAS-C, and PSAS-S had satisfactory internal consistency coefficients (α = 0.92, 0.91, and 0.86, respectively) and three-week test-retest correlations (ICC = 0.82, 0.82, and 0.71, respectively). Conclusion: The Turkish form of the PSAS was a valid and reliable measure of pre-sleep arousal and can be utilized in sleep studies. Supplementary Information: The online version contains supplementary material available at 10.1007/s41105-023-00483-z.

Mediation analysis of chronotype, sleep-related factors, and depressive symptoms among workers: a cross-sectional study.

Background: This study aimed to examine the impact of chronotype on depressive symptoms and explore the mediating effects of sleep quality, pre-sleep cognitive arousal, and social jetlag in a sample of wage earners. Methods: A total of 3,917 waged workers were surveyed online in July 2022. Logistic regression and mediation analysis were used to assess the relationship between chronotype (morningness, intermediate, and eveningness) and depressive symptoms (Patient Health Questionnaire ≥ 5), and the mediating effects of Insomnia Severity Index (ISI), Pittsburgh Sleep Quality Index (PSQI), and Pre-Sleep Arousal Scale (PSAS). All analyses were adjusted for age, education level, income level, marital status, coffee consumption, alcohol consumption, physical activity, occupation, employment status, and working hours to calculate odds ratios (ORs). Results: The chronotypes of all the participants were divided into morningness (4.7%), intermediate (93.5%), and eveningness (1.8%). Multiple logistic regression analysis showed an increased risk of depression in the eveningness chronotype (OR: 2.96; 95% confidence interval [CI]: 1.51, 5.86). Regarding the mediation analysis, ISI mediated 28.44% (95% CI: 16.39-40.5), PSQI for 31.25% (95% CI: 19.36, 43.15), and PSAS-Cognitive Score (PSAS-C) for 23.58% (95% CI: 10.66, 36.50) of the association between chronotype and depressive symptoms. However, social jetlag did not significantly mediate this relationship. (percentage mediated = 0.75%, 95% CI: -3.88, 5.39). Conclusions: Evening chronotypes exhibit an increased risk of depressive symptoms, which ISI, PSQI, and PSAS-C partially mediated. This suggests that interventions to improve sleep quality and maintain adequate sleep habits may effectively prevent and treat depression in employees with an eveningness chronotype.

The interaction between stress and sleep disorders among foreign medical students in Georgia.

OBJECTIVES: This study aimed to: a. Investigate daytime sleepiness, stress, and pre-sleep arousal prevalence among foreign medical students in Georgia. b. Explore gender-based associations between sleep and stress parameters. METHODS: Mental health was assessed in 207 foreign medical students in Georgia using the Epworth Sleepiness Scale (ESS), Pre-Sleep Arousal Scale (PSAS), and Student-Life Stress Inventory (SLSI). RESULTS: Most participants reported elevated stress levels and excessive daytime sleepiness (EDS). EDS affected 25.1% of students, with slightly higher prevalence in males. PSAS was prevalent in 97.1% of students. Stress was widely reported, with 78% experiencing it, with a higher prevalence in females. Significant correlations were observed between sleepiness and arousal, including somatic (r = 0.41) and total scores (r = 0.28). Sleepiness was also linked to stressors like pressure, changes, self-imposed stress, and overall self-evaluation stress (r = 0.45). Strong correlations existed between ESS, Total PSAS, and overall self-evaluation SLSI scores for both genders. Gender differences were observed in the associations with Cohen's d within the small to moderate size. Men showed significant associations between ESS and stressors: conflict, pressure, chances, all stress reaction categories, and total SLSI scores (p < 0.001). In women, ESS correlated significantly only with overall self-evaluation (p < 0.001). Excessive daytime sleepiness, especially with somatic and total PSAS, predicted total SLSI scores for the entire sample and both genders, with stronger predictive values for total PSAS. CONCLUSION: The study reveals a high prevalence of clinical sleepiness and its significant correlation with pre-sleep arousal and stress among foreign medical students, with females experiencing more difficulties than males.

Insomnia is a key risk factor for persistent anxiety and depressive symptoms: A 12-month longitudinal cohort study during the COVID-19 pandemic.

BACKGROUND: Insomnia is a risk factor for affective disorders. This study examined whether individuals with insomnia symptoms early in the pandemic, either pre-existing or new-onset, were more vulnerable to anxiety and depressive symptoms over time than those who maintained normal sleep. Additionally, sleep-related factors such as pre-sleep arousal were assessed for their influence on clinically significant anxiety and depression risk. METHODS: Using a global online survey with 3-, 6-, and 12-month follow-ups between April 2020 and May 2021, data from 2069 participants (M = 46.16 ± 13.42 years; 75.3 % female) with pre-existing, new-onset, or no insomnia symptoms was examined using mixed-effects and logistic regression models. RESULTS: New-onset and pre-existing insomnia predicted persistent anxiety and depressive symptoms longitudinally (p's < 0.001), over other known risk factors, including age, sex, and previous psychiatric diagnoses. Anxiety and depressive symptoms in both insomnia groups remained above clinically significant thresholds at most time points, whereas normal sleepers remained subclinical. Pre-sleep arousal was found to increase the risk of clinically significant anxiety (OR = 1.05) and depressive symptoms (OR = 1.09) at 12-months. Sleep effort contributed to anxiety (OR = 1.06), whereas dysfunctional sleep-related beliefs and attitudes predicted clinically significant depression (OR = 1.22). LIMITATIONS: Insomnia group categorization was based on self-report at baseline supported by a validated measure. High participant attrition was observed at 3-months (53 %; n = 971), but retention remained steady till 12-months (63 %, n = 779). CONCLUSIONS: Insomnia is a modifiable risk factor for persistent anxiety and depressive symptoms that needs to be addressed in mental healthcare. Additionally, pre-sleep arousal may be an important transdiagnostic process linking insomnia with affective disorders.

Age-Based Differences in Sleep Quality, Pre-Sleep Arousal, and Psychosocial Factors during the Second Wave Lockdown of the COVID-19 Pandemic in Georgia-A Higher Vulnerability of Younger People.

The COVID-19 pandemic has deeply disrupted sleep and mental health of people around the world. We aimed to investigate age-based differences in the prevalence of and relationship between sleep quality, pre-sleep arousal, and psychosocial factors during the second wave lockdown of the COVID-19 pandemic in Georgia. Data were collected through an online survey (n = 1117). Participants were categorized into four age groups: 18-29, 30-41, 42-53, and 54-70 years. The youngest participants reported the most prevalent disruption of sleep behavior. Overall, 58.3% of respondents were poor sleepers. The Pittsburgh Sleep Quality Index (PSQI) global score was highest in the youngest age group but the difference was not significant. There was a significant difference in the PSQI component scores for subjective sleep quality, sleep latency, and daytime dysfunction, all being worse in young respondents. We also observed a significantly higher prevalence rate of worse sleep quality in the youngest age group, relative to the pre-pandemic period. On the other hand, the oldest respondents showed significantly greater use of sleeping medications. Significantly higher levels of somatic and cognitive pre-sleep arousal, perceived stress, feeling depressed, anxious, and socially isolated were reported by the youngest age group. Study findings indicate a higher vulnerability of younger people to the impact of the COVID-19 pandemic. Assessment of pre-sleep arousal and implementation of specific, age-based interventions may prove beneficial to improve possible consequences of the pandemic on sleep and mental health.

Decreased Transition Rate From Situational Insomnia to Chronic Insomnia by One-Week Internet Cognitive Behavioral Treatments for Insomnia During the COVID-19 Pandemic.

Purpose: The purpose of the study was to determine the long-term effects of one-week self-guided internet cognitive behavioral treatments for insomnia (CBTI) on situational insomnia during the COVID-19 pandemic. Patients and Methods: The participants with situational insomnia (n = 194) were recruited from March 2020 to April 2020 in Guangzhou, China. The insomnia severity index (ISI), pre-sleep arousal scale (PSAS), and hospital anxiety and depression scale (HADS) were evaluated at baseline and a one-week internet CBTI program was delivered to all individuals. The participants were divided into the complete treatment group (the participants completed all seven modules of the CBTI course, n = 75), and the incomplete treatment group (the participants completed 0-6 modules of the CBTI course, n = 119). A total of 135 participants completed the post-intervention assessments. At 3 months follow-up, a total of 117 participants (complete treatment group: n = 51; incomplete treatment group: n = 66) completed the assessments of the ISI, PSAS and HADS. The transition rate from situational insomnia to chronic insomnia (duration of insomnia ≥ 3 months and ISI ≥ 8) was calculated in the two groups. Linear mixed effect model was used to investigate the effect of group (between the two groups), time (baseline vs. follow-up), and interaction (group x time) on various questionnaire score. Results: The transition rate from situational insomnia to chronic insomnia was significantly lower in the complete treatment group compared to the incomplete treatment group (27.5%, 14/51 vs. 48.5%, 32/66, p = 0.023). There were significant differences in group effect (p = 0.032), time effect (p = 0.000) and group × time effect (p = 0.048) between the two groups in the ISI total score. The ISI total scores decreased in both groups during follow-up compared to their baseline values, with a greater magnitude of decrease in the complete treatment group. There were no significant group x time effects between the two groups in the PSAS-total score, PSAS-somatic, PSAS-cognitive score, HADS total score, HADS anxiety score or HADS depression score. Conclusion: Our results suggested that one-week self-guided internet CBTI prevented the development of chronic insomnia from situational insomnia during the COVID-19 pandemic.

Pre-Sleep Cognitive Arousal Is Negatively Associated with Sleep Misperception in Healthy Sleepers during Habitual Environmental Noise Exposure: An Actigraphy Study.

Specific noises (e.g., traffic or wind turbines) can disrupt sleep and potentially cause a mismatch between subjective sleep and objective sleep (i.e., "sleep misperception"). Some individuals are likely to be more vulnerable than others to noise-related sleep disturbances, potentially as a result of increased pre-sleep cognitive arousal. The aim of the present study was to examine the relationships between pre-sleep cognitive arousal and sleep misperception. Sixteen healthy sleepers participated in this naturalistic, observational study. Three nights of sleep were measured using actigraphy, and each 15-s epoch was classified as sleep or wake. Bedside noise was recorded, and each 15-s segment was classified as containing noise or no noise and matched to actigraphy. Participants completed measures of habitual pre-sleep cognitive and somatic arousal and noise sensitivity. Pre-sleep cognitive and somatic arousal levels were negatively associated with subjective−objective total sleep time discrepancy (p < 0.01). There was an association between sleep/wake and noise presence/absence in the first and last 90 min of sleep (p < 0.001). These results indicate that higher levels of habitual pre-sleep arousal are associated with a greater degree of sleep misperception, and even in healthy sleepers, objective sleep is vulnerable to habitual bedside noise.

Persistence of the Effects of the COVID-19 Lockdown on Sleep: A Longitudinal Study.

The effects of the COVID-19 pandemic on sleep have been widely documented, but longitudinal evaluations during different phases of the "COVID-19 era" are needed to disentangle the specific consequences of the r145estrictive measures on sleep variables. The aim of this study was to assess the immediate effect of the lockdown's end on sleep and sleep-related dimensions in an Italian sample, also considering the stress and depressive symptoms. We used an online survey to longitudinally collect data on sociodemographic, environmental, clinical, sleep, and sleep-related variables in two time points: during and immediately after the lockdown. The final sample included 102 participants. The large prevalence of poor sleep quality, clinically relevant pre-sleep arousal, and depressive symptoms, as well as poor sleep quality and pre-sleep arousal score observed during the lockdown, remained stable after its end. On the other hand, the prevalence of moderate-to-severe event-related stress and intrusive symptom scores exhibited a drastic reduction after the end of home confinement. Both bedtime and rise time were anticipated after the lockdown, while sleep quality exhibited only a trend of post-lockdown sleep disturbance reduction. Our findings point to a reduced stress level (specific for the intrusive symptomatology) after the end of the lockdown and persistence of sleep problems, suggesting two non-mutually exclusive hypotheses: (a) the strict restrictive measures are not the main cause of sleep problems during the pandemic and (b) home confinement induces long-lasting effects on sleep observable after its end, and a longer period of time might be needed to observe an improvement.

Pre-sleep arousal and sleep quality during the COVID-19 lockdown in Italy.

OBJECTIVE: The COVID-19 pandemic has strongly affected daily habits and psychological wellbeing, and many studies point to large modifications in several sleep and sleep-related domains. Nevertheless, pre-sleep arousal during the pandemic has been substantially overlooked. Since hyperarousal represents one of the main factors for the development and the perpetuation of chronic insomnia disorder, the assessment of variables associated with high levels of pre-sleep arousal during the pandemic is clinically relevant. The study aimed to assess the prevalence and predictors of perceived sleep quality and pre-sleep arousal in an Italian sample during the COVID-19 lockdown. METHODS: We used an online survey to collect self-reported sociodemographic, environmental, clinical, sleep, and sleep-related data. Our final sample included 761 participants. RESULTS: Beyond a high frequency of poor sleep quality, depressive and stress symptoms, our results show that almost half of the sample suffered from clinically relevant levels of at least one component (ie, cognitive, somatic) of pre-sleep arousal. Subjects with greater pre-sleep arousal exhibited poorer sleep quality. Also, sleep quality was strongly associated with somatic and cognitive pre-sleep arousal. Regarding the predictors of sleep and sleep-related measures, depressive and event-related stress symptoms were the main factors associated with both poor sleep quality and pre-sleep arousal components. Moreover, specific sociodemographic and environmental variables were uniquely related to sleep quality, cognitive or somatic pre-sleep arousal. CONCLUSIONS: These findings suggest that the assessment of specific sleep-related factors (ie, pre-sleep arousal), together with more global measures of sleep quality, may be crucial to depict the complex impact of the pandemic on sleep, and to help prevent and counteract the spread of insomnia symptoms.

The Impact of COVID-19 on Sleep in Autistic Adults: Longitudinal Comparisons pre and During Lockdown.

Background: The longer-term impact of the pandemic on autistic adults' sleep are yet to be revealed, with studies concentrating on sleep in autistic children or mental health outcomes and coping strategies of autistic adults. Given the prevalence of sleep problems experienced by autistic adults and the changes in routine that have occurred as a result of COVID-19 societal restrictions, this study assessed the impact of the COVID-19 pandemic on sleep problems via a longitudinal subjective assessment method. Methods: Sleep data were gathered at three time points from 95 autistic adults, namely prior to the pandemic, at the start of COVID-19 and several months into COVID-19 to obtain a rich longitudinal dataset ascertaining how/if sleep patterns have changed in autistic adults over these several months. Results: In comparison to pre-lockdown, several sleep components were shown to improve during the lockdown. These improvements included reduced sleep latency (time taken to fall asleep), longer sleep duration, improved sleep efficiency, improved sleep quality, as well as improved daytime functioning. Pre-sleep cognitive arousal scores were found to decrease compared to pre-lockdown, meaning cognitive arousal improved. Approximately 65% of participants reported that they felt their sleep had been impacted since COVID-19 since Time 1, with the most common reasons reported as waking up exhausted (36.92%), not being able to get to sleep (33.85%), waking up in the night (29.23%), having a disrupted sleep pattern (27.69%), and nightmares (18.46%). Conclusions: Improvements in sleep may be related to societal changes (e.g., working from home) during the pandemic. Some of these changes are arguably beneficial for autistic adults in creating a more autism-inclusive society, for example telehealth opportunities for care. Further exploration of the associations between mental health and sleep are warranted.

Pre-sleep social media use does not strongly disturb sleep: a sleep laboratory study in healthy young participants.

OBJECTIVE: Sleep is critical for our mental health and optimal cognitive functioning. Social media use is increasingly common and suspected to disturb sleep due to increasing bedtime arousal. However, most studies rely on self-reported sleep. METHODS: We tested the effects of 30 min social media use on arousal and subsequent sleep in the sleep laboratory in 32 healthy young volunteers. Effects of blue-light were excluded in this study. We compared it to 30 min progressive muscle relaxation (PMR) and neutral sleep in a within-subject design. RESULTS: Thirty minutes of social media use immediately before sleep did not significantly increase arousal and did neither disturb objective nor subjective sleep. After social media use, participants only spent less time in sleep stage N2. In contrast, PMR had the expected positive effects on pre-sleep arousal level indicated by reduced heart rate. In addition, PMR improved sleep efficiency, reduced sleep onset latency, and shortened the time to reach slow-wave sleep compared to a neutral night. Oscillatory power in the slow-wave activity and spindle bands remained unaffected. CONCLUSION: Social media use before sleep (controlling for effects of blue-light) had little effect on bedtime arousal and sleep quality than what was previously expected. The most notable effect appears to be the additional time spent engaging in social media use at bedtime, potentially keeping people from going to sleep. As wake up-time is mostly determined externally, due to school or working hours, limiting personal media use at bedtime-and especially in bed-is recommended to get sufficient hours of sleep.

A Randomized Controlled Trial to Examine the Feasibility and Preliminary Efficacy of a Digital Mindfulness-Based Therapy for Improving Insomnia Symptoms.

Objectives: Insomnia has widespread negative implications for health and well-being. Online delivery of mindfulness-based therapy for insomnia (MBTI) has not previously been evaluated. This study investigated the feasibility and preliminary efficacy of a digital MBTI program for improving insomnia symptoms. It was hypothesized that a 6-week digital MBTI program would reduce insomnia symptoms and pre-sleep arousal and improve mood, compared to a waitlist control condition. Methods: Twenty-seven participants (M = 29.44, SD = 11.97 years) experiencing insomnia symptoms (insomnia severity index [ISI] ≥ 8) were randomized to either a 6-week intervention or waitlist condition. Participants completed the ISI, pre-sleep arousal scale (PSAS), and the positive and negative affect schedule at baseline, mid-, and post-study. Feasibility was assessed across four domains (acceptability, implementation, practicality, and preliminary efficacy) using self-reports, attrition, program completions, and module completions. Results: Feasibility data for the intervention indicated that there was 22% attrition, and 79% of the modules were completed. There were significantly greater reductions in the severity of insomnia symptoms (p < .001) and both cognitive (p = .03) and somatic (p = .02) subscales of the PSAS, at post-intervention compared to the waitlist group. There were no significant group differences in mood. Conclusions: This study provides preliminary evidence of the feasibility and efficacy of a digital MBTI, which may assist in the broader dissemination of insomnia treatment.Trial RegistrationAustralian and New Zealand Clinical Trials Registry: ACTRN12620000398909.

Presleep Arousal and Sleep in Early Childhood.

Research suggests that arousal during the transition to sleep-presleep arousal-is associated with sleep disturbances. Although a robust literature has examined the role of presleep arousal in conferring risk for sleep disturbances in adults, substantially less research has examined the developmental origins of presleep arousal in early childhood. The authors examined presleep arousal using parent report and psychophysiological measures in a sample of preschoolers to explore the association between different measures of presleep arousal, and to examine how nightly presleep arousal is associated with sleep. Participants included 29 children assessed at 54 months of age. Presleep arousal was measured using parent reports of child arousal each night at bedtime and using a wearable device that took minute-by-minute recordings of heart rate, peripheral skin temperature, and electrodermal activity each night during the child's bedtime routine. This yielded a dataset with 4,550 min of ambulatory recordings across an average of 3.52 nights per child (SD = 1.84 nights per child; range = 1-8 nights). Sleep was estimated using actigraphy. Findings demonstrated an association between parent-reported and psychophysiological arousal, including heart rate, peripheral skin temperature, and skin conductance responses during the child's bedtime routine. Both the parent report and psychophysiological measures of presleep arousal showed some associations with poorer sleep, with the most robust associations occurring between presleep arousal and sleep onset latency. Behavioral and biological measures of hyperarousal at bedtime are associated with poorer sleep in young children. Findings provide early evidence of the utility of wearable devices for assessing individual differences in presleep arousal in early childhood.

Insomnia, Pre-Sleep Arousal, Psychosocial Factors and Changes in Sleep Pattern during the Second Wave Lockdown of the COVID-19 Pandemic in Georgia.

Studies performed across the COVID-19 pandemic waves point to the persistent impact of the pandemic on sleep and mental health. We expand these data by examining insomnia, pre-sleep arousal, psychosocial factors, and retrospective changes in sleep pattern during the COVID-19 second wave lockdown period in Georgia. Data were collected through an online survey (n = 1117). The prevalence rate of probable insomnia disorder was 24.2%. Clinically relevant somatic and cognitive pre-sleep arousal was present in 49.8% and 58.0% of participants, and high levels of anxiety, depression and social isolation were found in 47.0%, 37.3%, 47.2% of respondents, respectively. We observed high prevalence rates of worse sleep quality, delayed bedtimes and risetimes, longer sleep latencies, higher awakenings and shorter sleep durations, relative to the pre-pandemic period. COVID-19-infected participants showed more severe sleep and mental problems. Specific predictors differentially affected insomnia, somatic and cognitive pre-sleep arousal. Depression and COVID-19 infection emerged as vulnerability factors for pre-sleep arousal, which, in turn, was associated with a higher predisposition to insomnia disorder. We confirm the strong deteriorating impact of the COVID-19 pandemic on sleep and psychosocial well-being during the second wave lockdown period. The specific association between pre-sleep arousal, insomnia, and psychosocial factors is of clinical relevance for the prevention of severity and persistence of sleep and mental problems across the repeated lockdown/reopening waves. Modulation of pre-sleep arousal may prove beneficial to implement targeted interventions.

Development and Validity of the Japanese Version of the Pre-Sleep Arousal Scale.

Hyperarousal, defined as increased levels of cortical activity and cognitive-emotional reactivity induced by stress, is suggested to be a key factor in insomnia. In particularly, pre-sleep arousal constitutes one of the major features of insomnia. The Pre-Sleep Arousal Scale is the best-known measure used to evaluate pre-sleep arousal. However, a well-validated Japanese version of the scale (PSAS-J) has not yet been established. The aim of this research was to develop and validate such a scale. A cross-sectional questionnaire-based study was conducted via the internet. In total, 237 of 300 participants (mean age 43.28 ± 11.19 years) completely responded to the questionnaires as followed: the PSAS-J, the Insomnia Severity Index, Ford Insomnia Response to Stress Test, and Dysfunctional Beliefs and Attitudes about Sleep Scale. In addition, the participants were divided into two groups: insomniacs and normal sleepers. As a result, the PSAS-J had a two-factor structure similar to that of the original version, i.e., somatic and cognitive arousal subscales. The internal consistency (α = 0.85 to 0.90) and test-retest reliability (r = 0.67 to 0.78) were high. Correlations between the PSAS-J and the above-mentioned scales ranged from 0.35 to 0.53. Discriminant validity showed that the PSAS-J was distinct from the Ford Insomnia Response to Stress Test and Dysfunctional Beliefs and Attitudes about Sleep Scale. The PSAS-J scores were significantly higher in insomniacs than in normal sleepers. Our results suggest that the PSAS-J has high reliability and validity and that this scale is adequate for assessing pre-sleep arousal.

Treating subclinical and clinical symptoms of insomnia with a mindfulness-based smartphone application: A pilot study.

BACKGROUND/OBJECTIVES: Emerging research suggests that face-to-face group mindfulness-based therapies are an effective intervention for insomnia. This pilot study examined the effectiveness of a mindfulness-based smartphone application for improving objectively-measured sleep, self-reported sleep, insomnia severity, pre-sleep arousal and daytime mood. METHOD: A community sample of 23 adults with subclinical to moderately severe symptoms of insomnia were randomized to either a mindfulness or progressive muscle relaxation (PMR) smartphone application for 40 or 60 days. Objective sleep outcomes assessed using actigraphy, and self-report measures of total wake time, cognitive and somatic pre-sleep arousal, and daytime positive and negative affect were assessed for 14 nights at baseline and post-intervention. Insomnia severity was recorded at baseline and post-intervention. RESULTS: A greater reduction in sleep onset latency was observed in the mindfulness group over time, relative to the PMR group. The mindfulness group also reported medium effect size improvements for sleep efficiency. No significant interaction effects were found for self-reported sleep measures, however, main effects of time were found for both groups for total wake time, insomnia severity, cognitive pre-sleep arousal, and daytime positive and negative affect. CONCLUSIONS: These preliminary findings suggest that both mindfulness and PMR smartphone applications have the potential to improve symptoms of insomnia. In particular, this mindfulness-based smartphone application may improve sleep onset latency and reduce the duration of night-awakenings. Further research exploring digital therapeutics as a self-help option for those with insomnia is needed.

Reported history of childhood trauma and stress-related vulnerability: Associations with emotion regulation, executive functioning, daily hassles and pre-sleep arousal.

Childhood trauma is associated with poor health outcomes in adulthood. Mechanisms for these associations are not well understood because past studies have focused predominantly on populations that have already developed physical and mental health problems. The present study examined the association between childhood trauma and stress-related vulnerability factors in a healthy adult sample (n = 79; 68% female, mean age = 27.5, SD = 6.5). Emotion regulation difficulties were examined as a potential mediator. Participants completed baseline laboratory assessments of reported childhood trauma, emotion regulation difficulties, prior month sleep quality, baseline impedance cardiography and behavioural tests of executive functioning (EF) and a three-day experience sampling assessment protocol that included sleep diary, reported and objective pre-sleep arousal, daily hassles and reported EF difficulties. Reported history of childhood abuse was significantly associated with difficulties in emotion regulation, self-report and objective pre-sleep arousal, diary-assessed sleep quality, daily hassles and reported EF difficulties. Reported history of childhood neglect was associated with greater pre-sleep arousal and poorer EF-behavioural control. Emotion regulation difficulties mediated the relationship between childhood abuse and reported pre-sleep arousal, daily hassles and reported EF difficulties. In conclusion, history of childhood trauma is associated with a variety of stress-related vulnerability factors in healthy adults that may be viable early intervention targets.

Depression and suicidal ideation in pregnancy: exploring relationships with insomnia, short sleep, and nocturnal rumination.

BACKGROUND: Sleep problems and depression are highly prevalent in pregnancy. Nocturnal rumination has been linked to insomnia and depression in non-pregnant samples, but remains poorly characterized in pregnancy. This study explored relationships of depression and suicidal ideation with insomnia, short sleep, and nocturnal rumination in mid-to-late pregnancy. METHODS: In this study, 267 pregnant women were recruited from obstetric clinics and completed online surveys on sleep, depression, and nocturnal rumination. RESULTS: Over half (58.4%) of the sample reported clinical insomnia on the Insomnia Severity Index, 16.1% screened positive for major depression on the Edinburgh Postnatal Depression Scale (EPDS), and 10.1% endorsed suicidal ideation. Nocturnal rumination was more robustly associated with sleep onset difficulties than with sleep maintenance issues. Depressed women were at greater odds of sleep onset insomnia (OR = 2.80), sleep maintenance insomnia (OR = 6.50), high nocturnal rumination (OR = 6.50), and negative perinatal-focused rumination (OR = 2.70). Suicidal ideation was associated with depression (OR = 3.64) and negative perinatal-focused rumination (OR = 3.50). A four-group comparison based on insomnia status and high/low rumination revealed that pregnant women with insomnia and high rumination endorsed higher rates of depression (35.6%) and suicidal ideation (17.3%) than good-sleeping women with low rumination (1.2% depressed, 4.9% suicidal). Women with insomnia alone (depression: 3.9%, suicidal: 5.9%) or high rumination alone (depression: 10.7%, suicidal: 7.1%) did not differ from good-sleeping women with low rumination. CONCLUSIONS: High rumination and insomnia are highly common in mid-to-late pregnancy and both are associated with depression and suicidal ideation. Depression and suicidal ideation are most prevalent in pregnant women with both insomnia and high rumination. CLINICALTRIALS. GOV IDENTIFIER: NCT03596879.